The Association between Rural Residence and the Use, Type, and Quality of Depression Care

ERIC Educational Resources Information Center

Fortney, John C.; Harman, Jeffrey S.; Xu, Stanley; Dong, Fran

2010-01-01

Objective: To assess the association between rurality and depression care. Methods: Data were extracted for 10,319 individuals with self-reported depression in the Medical Expenditure Panel Survey. Pharmacotherapy was defined as an antidepressant prescription fill, and minimally adequate pharmacotherapy was defined as receipt of at least 4…

Validation of deformable image registration algorithms on CT images of ex vivo porcine bladders with fiducial markers.

PubMed

Wognum, S; Heethuis, S E; Rosario, T; Hoogeman, M S; Bel, A

2014-07-01

The spatial accuracy of deformable image registration (DIR) is important in the implementation of image guided adaptive radiotherapy techniques for cancer in the pelvic region. Validation of algorithms is best performed on phantoms with fiducial markers undergoing controlled large deformations. Excised porcine bladders, exhibiting similar filling and voiding behavior as human bladders, provide such an environment. The aim of this study was to determine the spatial accuracy of different DIR algorithms on CT images of ex vivo porcine bladders with radiopaque fiducial markers applied to the outer surface, for a range of bladder volumes, using various accuracy metrics. Five excised porcine bladders with a grid of 30-40 radiopaque fiducial markers attached to the outer wall were suspended inside a water-filled phantom. The bladder was filled with a controlled amount of water with added contrast medium for a range of filling volumes (100-400 ml in steps of 50 ml) using a luer lock syringe, and CT scans were acquired at each filling volume. DIR was performed for each data set, with the 100 ml bladder as the reference image. Six intensity-based algorithms (optical flow or demons-based) implemented in theMATLAB platform DIRART, a b-spline algorithm implemented in the commercial software package VelocityAI, and a structure-based algorithm (Symmetric Thin Plate Spline Robust Point Matching) were validated, using adequate parameter settings according to values previously published. The resulting deformation vector field from each registration was applied to the contoured bladder structures and to the marker coordinates for spatial error calculation. The quality of the algorithms was assessed by comparing the different error metrics across the different algorithms, and by comparing the effect of deformation magnitude (bladder volume difference) per algorithm, using the Independent Samples Kruskal-Wallis test. The authors found good structure accuracy without dependency on bladder volume difference for all but one algorithm, and with the best result for the structure-based algorithm. Spatial accuracy as assessed from marker errors was disappointing for all algorithms, especially for large volume differences, implying that the deformations described by the registration did not represent anatomically correct deformations. The structure-based algorithm performed the best in terms of marker error for the large volume difference (100-400 ml). In general, for the small volume difference (100-150 ml) the algorithms performed relatively similarly. The structure-based algorithm exhibited the best balance in performance between small and large volume differences, and among the intensity-based algorithms, the algorithm implemented in VelocityAI exhibited the best balance. Validation of multiple DIR algorithms on a novel physiological bladder phantom revealed that the structure accuracy was good for most algorithms, but that the spatial accuracy as assessed from markers was low for all algorithms, especially for large deformations. Hence, many of the available algorithms exhibit sufficient accuracy for contour propagation purposes, but possibly not for accurate dose accumulation.

National Dam Safety Program. Potake Lake Dam (Inventory Number N.Y. 970), Passaic River Basin, Lower Hudson River Area, Rockland County, New York. Phase I Inspection Report,

DTIC Science & Technology

1981-08-14

facilitate thedischarge of storm flows. 2. The animal burrows, depressions , and tire ruts onthe crest of the dam should be filled, compacted and seeded. 3...storm flows. 2. The animal burrows, depressions , and tire ruts on the crest of the dam should be filled, compacted, and seeded...defined by the Recommended Guidelines for Safety Inspection of Dams (Reference 13, Appendix D). d. Hazard Classifications - Cranberry Lake Dam is one mile

Use of treatment algorithms for depression.

PubMed

Trivedi, Madhukar H; Fava, Maurizio; Marangell, Lauren B; Osser, David N; Shelton, Richard C

2006-01-01

Depression continues to be a treatment challenge for many physicians-psychiatrists and primary care physicians alike-in part because of the nature of the disorder, but also because of the wide variety of medications and other treatments available, each with a distinct efficacy and safety profile. One way of negotiating treatment decisions is to use treatment guidelines and algorithms. This Commentary, which appears in the September 2006 issue of The Journal of Clinical Psychiatry (2006;67:1458-1465), provides the primary care clinician with insight into the pros and cons of using treatment algorithms to guide the treatment of depression. -Larry Culpepper, M.D.

Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem.

PubMed

Yue, Yi-xiang; Zhang, Tong; Yue, Qun-xing

2015-01-01

Vehicle Routing Problem (VRP) is one of the key issues in optimization of modern logistics system. In this paper, a modified VRP model with hard time window is established and a Hybrid Optimization Algorithm (HOA) based on Fractal Space Filling Curves (SFC) method and Genetic Algorithm (GA) is introduced. By incorporating the proposed algorithm, SFC method can find an initial and feasible solution very fast; GA is used to improve the initial solution. Thereafter, experimental software was developed and a large number of experimental computations from Solomon's benchmark have been studied. The experimental results demonstrate the feasibility and effectiveness of the HOA.

Improved Fractal Space Filling Curves Hybrid Optimization Algorithm for Vehicle Routing Problem

PubMed Central

Yue, Yi-xiang; Zhang, Tong; Yue, Qun-xing

2015-01-01

Vehicle Routing Problem (VRP) is one of the key issues in optimization of modern logistics system. In this paper, a modified VRP model with hard time window is established and a Hybrid Optimization Algorithm (HOA) based on Fractal Space Filling Curves (SFC) method and Genetic Algorithm (GA) is introduced. By incorporating the proposed algorithm, SFC method can find an initial and feasible solution very fast; GA is used to improve the initial solution. Thereafter, experimental software was developed and a large number of experimental computations from Solomon's benchmark have been studied. The experimental results demonstrate the feasibility and effectiveness of the HOA. PMID:26167171

Assessment of genetic and nongenetic interactions for the prediction of depressive symptomatology: an analysis of the Wisconsin Longitudinal Study using machine learning algorithms.

PubMed

Roetker, Nicholas S; Page, C David; Yonker, James A; Chang, Vicky; Roan, Carol L; Herd, Pamela; Hauser, Taissa S; Hauser, Robert M; Atwood, Craig S

2013-10-01

We examined depression within a multidimensional framework consisting of genetic, environmental, and sociobehavioral factors and, using machine learning algorithms, explored interactions among these factors that might better explain the etiology of depressive symptoms. We measured current depressive symptoms using the Center for Epidemiologic Studies Depression Scale (n = 6378 participants in the Wisconsin Longitudinal Study). Genetic factors were 78 single nucleotide polymorphisms (SNPs); environmental factors-13 stressful life events (SLEs), plus a composite proportion of SLEs index; and sociobehavioral factors-18 personality, intelligence, and other health or behavioral measures. We performed traditional SNP associations via logistic regression likelihood ratio testing and explored interactions with support vector machines and Bayesian networks. After correction for multiple testing, we found no significant single genotypic associations with depressive symptoms. Machine learning algorithms showed no evidence of interactions. Naïve Bayes produced the best models in both subsets and included only environmental and sociobehavioral factors. We found no single or interactive associations with genetic factors and depressive symptoms. Various environmental and sociobehavioral factors were more predictive of depressive symptoms, yet their impacts were independent of one another. A genome-wide analysis of genetic alterations using machine learning methodologies will provide a framework for identifying genetic-environmental-sociobehavioral interactions in depressive symptoms.

Multiprocessor sparse L/U decomposition with controlled fill-in

NASA Technical Reports Server (NTRS)

Alaghband, G.; Jordan, H. F.

1985-01-01

Generation of the maximal compatibles of pivot elements for a class of small sparse matrices is studied. The algorithm involves a binary tree search and has a complexity exponential in the order of the matrix. Different strategies for selection of a set of compatible pivots based on the Markowitz criterion are investigated. The competing issues of parallelism and fill-in generation are studied and results are provided. A technque for obtaining an ordered compatible set directly from the ordered incompatible table is given. This technique generates a set of compatible pivots with the property of generating few fills. A new hueristic algorithm is then proposed that combines the idea of an ordered compatible set with a limited binary tree search to generate several sets of compatible pivots in linear time. Finally, an elimination set to reduce the matrix is selected. Parameters are suggested to obtain a balance between parallelism and fill-ins. Results of applying the proposed algorithms on several large application matrices are presented and analyzed.

Validation of deformable image registration algorithms on CT images of ex vivo porcine bladders with fiducial markers

DOE Office of Scientific and Technical Information (OSTI.GOV)

Wognum, S., E-mail: s.wognum@gmail.com; Heethuis, S. E.; Bel, A.

2014-07-15

Purpose: The spatial accuracy of deformable image registration (DIR) is important in the implementation of image guided adaptive radiotherapy techniques for cancer in the pelvic region. Validation of algorithms is best performed on phantoms with fiducial markers undergoing controlled large deformations. Excised porcine bladders, exhibiting similar filling and voiding behavior as human bladders, provide such an environment. The aim of this study was to determine the spatial accuracy of different DIR algorithms on CT images ofex vivo porcine bladders with radiopaque fiducial markers applied to the outer surface, for a range of bladder volumes, using various accuracy metrics. Methods: Fivemore » excised porcine bladders with a grid of 30–40 radiopaque fiducial markers attached to the outer wall were suspended inside a water-filled phantom. The bladder was filled with a controlled amount of water with added contrast medium for a range of filling volumes (100–400 ml in steps of 50 ml) using a luer lock syringe, and CT scans were acquired at each filling volume. DIR was performed for each data set, with the 100 ml bladder as the reference image. Six intensity-based algorithms (optical flow or demons-based) implemented in theMATLAB platform DIRART, a b-spline algorithm implemented in the commercial software package VelocityAI, and a structure-based algorithm (Symmetric Thin Plate Spline Robust Point Matching) were validated, using adequate parameter settings according to values previously published. The resulting deformation vector field from each registration was applied to the contoured bladder structures and to the marker coordinates for spatial error calculation. The quality of the algorithms was assessed by comparing the different error metrics across the different algorithms, and by comparing the effect of deformation magnitude (bladder volume difference) per algorithm, using the Independent Samples Kruskal-Wallis test. Results: The authors found good structure accuracy without dependency on bladder volume difference for all but one algorithm, and with the best result for the structure-based algorithm. Spatial accuracy as assessed from marker errors was disappointing for all algorithms, especially for large volume differences, implying that the deformations described by the registration did not represent anatomically correct deformations. The structure-based algorithm performed the best in terms of marker error for the large volume difference (100–400 ml). In general, for the small volume difference (100–150 ml) the algorithms performed relatively similarly. The structure-based algorithm exhibited the best balance in performance between small and large volume differences, and among the intensity-based algorithms, the algorithm implemented in VelocityAI exhibited the best balance. Conclusions: Validation of multiple DIR algorithms on a novel physiological bladder phantom revealed that the structure accuracy was good for most algorithms, but that the spatial accuracy as assessed from markers was low for all algorithms, especially for large deformations. Hence, many of the available algorithms exhibit sufficient accuracy for contour propagation purposes, but possibly not for accurate dose accumulation.« less

High somatic distress with high long-term stability in selected patients with chronic depression: a 3-year follow-up of ratings with Karolinska Scales of Personality (KSP).

PubMed

Gardner, Ann; Hällström, Tore

2004-01-01

The main aim of the present study was to investigate mean levels and long-term stability of three scales from the Karolinska Scales of Personality (KSP), assessing somatic components of anxiety proneness in selected patients with chronic depressive symptoms. The KSP was filled in by 84 patients (26 men and 58 women) with a history of or ongoing major depression and audiological, or other comorbid somatic, symptoms. Mean scores for the Somatic Anxiety, Muscular Tension and Psychasthenia scales were above two standard deviations compared to a normative group sampled from the population. The KSP was filled in at follow-up by 65 patients. The mean interval between the ratings was 3.5 years. Comparisons between the ratings of the three scales revealed no significant mean score differences, and quite high individual stability. The mean scores were significantly increased in comparisons with depressed patients in primary care suggesting that these patients with chronic depression may comprise a depressive sub-type characterized by high "somatic distress". A putative origin for the high and stable scores in the presented sub-group of depressed patients, and the concept of "personality trait" in use even for pronounced symptoms, are discussed.

The effects of indwelling voice prosthesis on the quality of life, depressive symptoms, and self-esteem in patients with total laryngectomy.

PubMed

Polat, Beldan; Orhan, Kadir Serkan; Kesimli, Mustafa Caner; Gorgulu, Yasemin; Ulusan, Murat; Deger, Kemal

2015-11-01

This study aims to evaluate the effects of voice rehabilitation with indwelling voice prosthesis on quality of life, depression, anxiety, self-esteem, and sexual functions in laryngectomy patients. Provox-1 was applied to 30 patients who underwent total laryngectomy by opening a tracheoesophageal fistula. WHO Quality of Life-BREF, Beck Depression Inventory, Beck Anxiety Inventory, Rosenberg Self-Esteem Scale, Arizona Sexual Experience Scale forms were asked to be filled out by the patients before voice prosthesis application. These tests were asked to be filled out again 3 months later after the voice prosthesis application. Paired samples and Wilcoxon tests were used to compare before and after operation values. Indwelling voice prosthesis was found to improve quality of life, self-esteem, and sexual function (p < 0.05). Additionally, symptoms of depression and anxiety were regressed (p < 0.05). Indwelling voice prosthesis was found to especially increase the quality of life and decrease depression (p < 0.05). This study is an uncontrolled single-arm study comparing patients' psychosocial statuses pre- and post-voice prosthesis.

Food for thought: understanding the value, variety and usage of management algorithms for major depressive disorder.

PubMed

Katzman, Martin A; Anand, Leena; Furtado, Melissa; Chokka, Pratap

2014-12-01

By 2020, depression is projected to be among the most important contributors to the global burden of disease. A plethora of data confirms that despite the availability of effective therapies, major depressive disorder continues to exact an enormous toll; this, in part, is due to difficulties reaching complete remission, as well as the specific associated costs of both the disorder's morbidity and mortality. The negative effects of depression include those on patients' occupational functioning, including absenteeism, presenteeism, and reduced opportunities for educational and work success. The use of management algorithms has been shown to improve treatment outcomes in major depressive disorder and may be less costly than "usual care" practices. Nevertheless, many patients with depression remain untreated. As well, even those who are treated often continue to experience suboptimal quality of life. As such, the treatment algorithms in this article may improve outcomes for patients suffering with depression. This paper introduces some of the principal reasons underlying these treatment gaps and examines measures or recommendations that might be changed or strengthened in future practice guidelines to bridge them. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Assessment of Genetic and Nongenetic Interactions for the Prediction of Depressive Symptomatology: An Analysis of the Wisconsin Longitudinal Study Using Machine Learning Algorithms

PubMed Central

Roetker, Nicholas S.; Yonker, James A.; Chang, Vicky; Roan, Carol L.; Herd, Pamela; Hauser, Taissa S.; Hauser, Robert M.

2013-01-01

Objectives. We examined depression within a multidimensional framework consisting of genetic, environmental, and sociobehavioral factors and, using machine learning algorithms, explored interactions among these factors that might better explain the etiology of depressive symptoms. Methods. We measured current depressive symptoms using the Center for Epidemiologic Studies Depression Scale (n = 6378 participants in the Wisconsin Longitudinal Study). Genetic factors were 78 single nucleotide polymorphisms (SNPs); environmental factors—13 stressful life events (SLEs), plus a composite proportion of SLEs index; and sociobehavioral factors—18 personality, intelligence, and other health or behavioral measures. We performed traditional SNP associations via logistic regression likelihood ratio testing and explored interactions with support vector machines and Bayesian networks. Results. After correction for multiple testing, we found no significant single genotypic associations with depressive symptoms. Machine learning algorithms showed no evidence of interactions. Naïve Bayes produced the best models in both subsets and included only environmental and sociobehavioral factors. Conclusions. We found no single or interactive associations with genetic factors and depressive symptoms. Various environmental and sociobehavioral factors were more predictive of depressive symptoms, yet their impacts were independent of one another. A genome-wide analysis of genetic alterations using machine learning methodologies will provide a framework for identifying genetic–environmental–sociobehavioral interactions in depressive symptoms. PMID:23927508

Using Selective Drainage Methods to Extract Continuous Surface Flow from 1-Meter Lidar-Derived Digital Elevation Data

USGS Publications Warehouse

Poppenga, Sandra K.; Worstell, Bruce B.; Stoker, Jason M.; Greenlee, Susan K.

2010-01-01

Digital elevation data commonly are used to extract surface flow features. One source for high-resolution elevation data is light detection and ranging (lidar). Lidar can capture a vast amount of topographic detail because of its fine-scale ability to digitally capture the surface of the earth. Because elevation is a key factor in extracting surface flow features, high-resolution lidar-derived digital elevation models (DEMs) provide the detail needed to consistently integrate hydrography with elevation, land cover, structures, and other geospatial features. The U.S. Geological Survey has developed selective drainage methods to extract continuous surface flow from high-resolution lidar-derived digital elevation data. The lidar-derived continuous surface flow network contains valuable information for water resource management involving flood hazard mapping, flood inundation, and coastal erosion. DEMs used in hydrologic applications typically are processed to remove depressions by filling them. High-resolution DEMs derived from lidar can capture much more detail of the land surface than courser elevation data. Therefore, high-resolution DEMs contain more depressions because of obstructions such as roads, railroads, and other elevated structures. The filling of these depressions can significantly affect the DEM-derived surface flow routing and terrain characteristics in an adverse way. In this report, selective draining methods that modify the elevation surface to drain a depression through an obstruction are presented. If such obstructions are not removed from the elevation data, the filling of depressions to create continuous surface flow can cause the flow to spill over an obstruction in the wrong location. Using this modified elevation surface improves the quality of derived surface flow and retains more of the true surface characteristics by correcting large filled depressions. A reliable flow surface is necessary for deriving a consistently connected drainage network, which is important in understanding surface water movement and developing applications for surface water runoff, flood inundation, and erosion. Improved methods are needed to extract continuous surface flow features from high-resolution elevation data based on lidar.

Epidemiological Study of Greek University Students' Mental Health

ERIC Educational Resources Information Center

Kounenou, Kalliope; Koutra, Aikaterini; Katsiadrami, Aristea; Diacogiannis, Georgios

2011-01-01

In the present study, 805 Greek students participated by filling in self-report questionnaires studying depression (Center for Epidemiological Studies Depression Scale), general health status (General Health Questionnaire), general psychopathology (Symptom Checklist-90-R), and personal demographic features. Some of the more prevalent findings…

Macrolane (large particle biphasic hyaluronic acid) filler injection for correction of defect contour after liposuction.

PubMed

Cerqua, Sandro; Angelucci, Francesco

2013-08-01

In a minority of patients undergoing liposuction, superficial irregularities (or skin depression) in the operated area may occur. Macrolane is a gel composed of hyaluronic acid (HA), used for volume restoration of soft tissues. In this study, the authors investigated the effectiveness, maintenance, and safety of Macrolane as a "non-surgical" treatment to correct skin depression after liposuction. Twelve female patients were included. Macrolane was injected at a subdermal superficial plane using an intramuscular or spinal needle. In all patients, Macrolane was successful in correcting skin depression. No relevant side effects were observed. At 8 months post-injection, a persistence of correction of 60-70% was still present in 90% of the patients. In conclusion, Macrolane filler injections are a predictable, safe, and long-lasting non-surgical procedure to fill contour defects that arise after liposuction, and represent a good option for patients who refuse to undergo an additional surgery to fill the arisen skin depressions.

How to identify students for school-based depression intervention: can school record review be substituted for universal depression screening?

PubMed

Kuo, Elena S; Vander Stoep, Ann; Herting, Jerald R; Grupp, Katherine; McCauley, Elizabeth

2013-02-01

Early identification and intervention are critical for reducing the adverse effects of depression on academic and occupational performance. Cost-effective approaches are needed for identifying adolescents at high depression risk. This study evaluated the utility of school record review versus universal school-based depression screening for determining eligibility for an indicated depression intervention program implemented in the middle school setting. Algorithms derived from grades, attendance, suspensions, and basic demographic information were evaluated with regard to their ability to predict students' depression screening scores. The school information-based algorithms proved poor proxies for individual students' depression screening results. However, school records showed promise for identifying low, medium, and high-yield subgroups on the basis of which efficient screening targeting decisions could be made. Study results will help to guide school nurses who coordinate indicated depression intervention programs in school settings as they evaluate options of approaches for determining which students are eligible for participation. © 2012 Wiley Periodicals, Inc.

A finite element-boundary integral formulation for scattering by three-dimensional cavity-backed apertures

NASA Technical Reports Server (NTRS)

Jin, Jian-Ming; Volakis, John L.

1990-01-01

A numerical technique is proposed for the electromagnetic characterization of the scattering by a three-dimensional cavity-backed aperture in an infinite ground plane. The technique combines the finite element and boundary integral methods to formulate a system of equations for the solution of the aperture fields and those inside the cavity. Specifically, the finite element method is employed to formulate the fields in the cavity region and the boundary integral approach is used in conjunction with the equivalence principle to represent the fields above the ground plane. Unlike traditional approaches, the proposed technique does not require knowledge of the cavity's Green's function and is, therefore, applicable to arbitrary shape depressions and material fillings. Furthermore, the proposed formulation leads to a system having a partly full and partly sparse as well as symmetric and banded matrix which can be solved efficiently using special algorithms.

Video-based depression detection using local Curvelet binary patterns in pairwise orthogonal planes.

PubMed

Pampouchidou, Anastasia; Marias, Kostas; Tsiknakis, Manolis; Simos, Panagiotis; Fan Yang; Lemaitre, Guillaume; Meriaudeau, Fabrice

2016-08-01

Depression is an increasingly prevalent mood disorder. This is the reason why the field of computer-based depression assessment has been gaining the attention of the research community during the past couple of years. The present work proposes two algorithms for depression detection, one Frame-based and the second Video-based, both employing Curvelet transform and Local Binary Patterns. The main advantage of these methods is that they have significantly lower computational requirements, as the extracted features are of very low dimensionality. This is achieved by modifying the previously proposed algorithm which considers Three-Orthogonal-Planes, to only Pairwise-Orthogonal-Planes. Performance of the algorithms was tested on the benchmark dataset provided by the Audio/Visual Emotion Challenge 2014, with the person-specific system achieving 97.6% classification accuracy, and the person-independed one yielding promising preliminary results of 74.5% accuracy. The paper concludes with open issues, proposed solutions, and future plans.

A Novel Latin Hypercube Algorithm via Translational Propagation

PubMed Central

Pan, Guang; Ye, Pengcheng

2014-01-01

Metamodels have been widely used in engineering design to facilitate analysis and optimization of complex systems that involve computationally expensive simulation programs. The accuracy of metamodels is directly related to the experimental designs used. Optimal Latin hypercube designs are frequently used and have been shown to have good space-filling and projective properties. However, the high cost in constructing them limits their use. In this paper, a methodology for creating novel Latin hypercube designs via translational propagation and successive local enumeration algorithm (TPSLE) is developed without using formal optimization. TPSLE algorithm is based on the inspiration that a near optimal Latin Hypercube design can be constructed by a simple initial block with a few points generated by algorithm SLE as a building block. In fact, TPSLE algorithm offers a balanced trade-off between the efficiency and sampling performance. The proposed algorithm is compared to two existing algorithms and is found to be much more efficient in terms of the computation time and has acceptable space-filling and projective properties. PMID:25276844

Sleep and Psychological Well-Being

ERIC Educational Resources Information Center

Hamilton, N. A.; Nelson, C. A.; Stevens, N.; Kitzman, Heather

2007-01-01

Although many studies have linked sleep problems with symptoms of psychopathology, fewer studies have examined the relationship between sleep and dimensions of psychological health as well as depression. To fill this gap, 502 community residents were surveyed about sleep habits, symptoms of anxiety and depression, as well as Ryff's six dimensions…

How Effective Is Algorithm-Guided Treatment for Depressed Inpatients? Results from the Randomized Controlled Multicenter German Algorithm Project 3 Trial

PubMed Central

Wiethoff, Katja; Baghai, Thomas C; Fisher, Robert; Seemüller, Florian; Laakmann, Gregor; Brieger, Peter; Cordes, Joachim; Malevani, Jaroslav; Laux, Gerd; Hauth, Iris; Möller, Hans-Jürgen; Kronmüller, Klaus-Thomas; Smolka, Michael N; Schlattmann, Peter; Berger, Maximilian; Ricken, Roland; Stamm, Thomas J; Heinz, Andreas; Bauer, Michael

2017-01-01

Abstract Background Treatment algorithms are considered as key to improve outcomes by enhancing the quality of care. This is the first randomized controlled study to evaluate the clinical effect of algorithm-guided treatment in inpatients with major depressive disorder. Methods Inpatients, aged 18 to 70 years with major depressive disorder from 10 German psychiatric departments were randomized to 5 different treatment arms (from 2000 to 2005), 3 of which were standardized stepwise drug treatment algorithms (ALGO). The fourth arm proposed medications and provided less specific recommendations based on a computerized documentation and expert system (CDES), the fifth arm received treatment as usual (TAU). ALGO included 3 different second-step strategies: lithium augmentation (ALGO LA), antidepressant dose-escalation (ALGO DE), and switch to a different antidepressant (ALGO SW). Time to remission (21-item Hamilton Depression Rating Scale ≤9) was the primary outcome. Results Time to remission was significantly shorter for ALGO DE (n=91) compared with both TAU (n=84) (HR=1.67; P=.014) and CDES (n=79) (HR=1.59; P=.031) and ALGO SW (n=89) compared with both TAU (HR=1.64; P=.018) and CDES (HR=1.56; P=.038). For both ALGO LA (n=86) and ALGO DE, fewer antidepressant medications were needed to achieve remission than for CDES or TAU (P<.001). Remission rates at discharge differed across groups; ALGO DE had the highest (89.2%) and TAU the lowest rates (66.2%). Conclusions A highly structured algorithm-guided treatment is associated with shorter times and fewer medication changes to achieve remission with depressed inpatients than treatment as usual or computerized medication choice guidance. PMID:28645191

How Effective Is Algorithm-Guided Treatment for Depressed Inpatients? Results from the Randomized Controlled Multicenter German Algorithm Project 3 Trial.

PubMed

Adli, Mazda; Wiethoff, Katja; Baghai, Thomas C; Fisher, Robert; Seemüller, Florian; Laakmann, Gregor; Brieger, Peter; Cordes, Joachim; Malevani, Jaroslav; Laux, Gerd; Hauth, Iris; Möller, Hans-Jürgen; Kronmüller, Klaus-Thomas; Smolka, Michael N; Schlattmann, Peter; Berger, Maximilian; Ricken, Roland; Stamm, Thomas J; Heinz, Andreas; Bauer, Michael

2017-09-01

Treatment algorithms are considered as key to improve outcomes by enhancing the quality of care. This is the first randomized controlled study to evaluate the clinical effect of algorithm-guided treatment in inpatients with major depressive disorder. Inpatients, aged 18 to 70 years with major depressive disorder from 10 German psychiatric departments were randomized to 5 different treatment arms (from 2000 to 2005), 3 of which were standardized stepwise drug treatment algorithms (ALGO). The fourth arm proposed medications and provided less specific recommendations based on a computerized documentation and expert system (CDES), the fifth arm received treatment as usual (TAU). ALGO included 3 different second-step strategies: lithium augmentation (ALGO LA), antidepressant dose-escalation (ALGO DE), and switch to a different antidepressant (ALGO SW). Time to remission (21-item Hamilton Depression Rating Scale ≤9) was the primary outcome. Time to remission was significantly shorter for ALGO DE (n=91) compared with both TAU (n=84) (HR=1.67; P=.014) and CDES (n=79) (HR=1.59; P=.031) and ALGO SW (n=89) compared with both TAU (HR=1.64; P=.018) and CDES (HR=1.56; P=.038). For both ALGO LA (n=86) and ALGO DE, fewer antidepressant medications were needed to achieve remission than for CDES or TAU (P<.001). Remission rates at discharge differed across groups; ALGO DE had the highest (89.2%) and TAU the lowest rates (66.2%). A highly structured algorithm-guided treatment is associated with shorter times and fewer medication changes to achieve remission with depressed inpatients than treatment as usual or computerized medication choice guidance. © The Author 2017. Published by Oxford University Press on behalf of CINP.

A Computerized Decision Support System for Depression in Primary Care

PubMed Central

Kurian, Benji T.; Trivedi, Madhukar H.; Grannemann, Bruce D.; Claassen, Cynthia A.; Daly, Ella J.; Sunderajan, Prabha

2009-01-01

Objective: In 2004, results from The Texas Medication Algorithm Project (TMAP) showed better clinical outcomes for patients whose physicians adhered to a paper-and-pencil algorithm compared to patients who received standard clinical treatment for major depressive disorder (MDD). However, implementation of and fidelity to the treatment algorithm among various providers was observed to be inadequate. A computerized decision support system (CDSS) for the implementation of the TMAP algorithm for depression has since been developed to improve fidelity and adherence to the algorithm. Method: This was a 2-group, parallel design, clinical trial (one patient group receiving MDD treatment from physicians using the CDSS and the other patient group receiving usual care) conducted at 2 separate primary care clinics in Texas from March 2005 through June 2006. Fifty-five patients with MDD (DSM-IV criteria) with no significant difference in disease characteristics were enrolled, 32 of whom were treated by physicians using CDSS and 23 were treated by physicians using usual care. The study's objective was to evaluate the feasibility and efficacy of implementing a CDSS to assist physicians acutely treating patients with MDD compared to usual care in primary care. Primary efficacy outcomes for depression symptom severity were based on the 17-item Hamilton Depression Rating Scale (HDRS17) evaluated by an independent rater. Results: Patients treated by physicians employing CDSS had significantly greater symptom reduction, based on the HDRS17, than patients treated with usual care (P < .001). Conclusions: The CDSS algorithm, utilizing measurement-based care, was superior to usual care for patients with MDD in primary care settings. Larger randomized controlled trials are needed to confirm these findings. Trial Registration: clinicaltrials.gov Identifier: NCT00551083 PMID:19750065

A computerized decision support system for depression in primary care.

PubMed

Kurian, Benji T; Trivedi, Madhukar H; Grannemann, Bruce D; Claassen, Cynthia A; Daly, Ella J; Sunderajan, Prabha

2009-01-01

In 2004, results from The Texas Medication Algorithm Project (TMAP) showed better clinical outcomes for patients whose physicians adhered to a paper-and-pencil algorithm compared to patients who received standard clinical treatment for major depressive disorder (MDD). However, implementation of and fidelity to the treatment algorithm among various providers was observed to be inadequate. A computerized decision support system (CDSS) for the implementation of the TMAP algorithm for depression has since been developed to improve fidelity and adherence to the algorithm. This was a 2-group, parallel design, clinical trial (one patient group receiving MDD treatment from physicians using the CDSS and the other patient group receiving usual care) conducted at 2 separate primary care clinics in Texas from March 2005 through June 2006. Fifty-five patients with MDD (DSM-IV criteria) with no significant difference in disease characteristics were enrolled, 32 of whom were treated by physicians using CDSS and 23 were treated by physicians using usual care. The study's objective was to evaluate the feasibility and efficacy of implementing a CDSS to assist physicians acutely treating patients with MDD compared to usual care in primary care. Primary efficacy outcomes for depression symptom severity were based on the 17-item Hamilton Depression Rating Scale (HDRS(17)) evaluated by an independent rater. Patients treated by physicians employing CDSS had significantly greater symptom reduction, based on the HDRS(17), than patients treated with usual care (P < .001). The CDSS algorithm, utilizing measurement-based care, was superior to usual care for patients with MDD in primary care settings. Larger randomized controlled trials are needed to confirm these findings. clinicaltrials.gov Identifier: NCT00551083.

Texas Children's Medication Algorithm Project: Update from Texas Consensus Conference Panel on Medication Treatment of Childhood Major Depressive Disorder

ERIC Educational Resources Information Center

Hughes, Carroll W.; Emslie, Graham J.; Crismon, M. Lynn; Posner, Kelly; Birmaher, Boris; Ryan, Neal; Jensen, Peter; Curry, John; Vitiello, Benedetto; Lopez, Molly; Shon, Steve P.; Pliszka, Steven R.; Trivedi, Madhukar H.

2007-01-01

Objective: To revise and update consensus guidelines for medication treatment algorithms for childhood major depressive disorder based on new scientific evidence and expert clinical consensus when evidence is lacking. Method: A consensus conference was held January 13-14, 2005, that included academic clinicians and researchers, practicing…

Usefulness of magnifying endoscopy with narrow-band imaging for diagnosis of depressed gastric lesions

PubMed Central

SUMIE, HIROAKI; SUMIE, SHUJI; NAKAHARA, KEITA; WATANABE, YASUTOMO; MATSUO, KEN; MUKASA, MICHITA; SAKAI, TAKESHI; YOSHIDA, HIKARU; TSURUTA, OSAMU; SATA, MICHIO

2014-01-01

The usefulness of magnifying endoscopy with narrow-band imaging (ME-NBI) for the diagnosis of early gastric cancer is well known, however, there are no evaluation criteria. The aim of this study was to devise and evaluate a novel diagnostic algorithm for ME-NBI in depressed early gastric cancer. Between August, 2007 and May, 2011, 90 patients with a total of 110 depressed gastric lesions were enrolled in the study. A diagnostic algorithm was devised based on ME-NBI microvascular findings: microvascular irregularity and abnormal microvascular patterns (fine network, corkscrew and unclassified patterns). The diagnostic efficiency of the algorithm for gastric cancer and histological grade was assessed by measuring its mean sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy. Furthermore, inter- and intra-observer variation were measured. In the differential diagnosis of gastric cancer from non-cancerous lesions, the mean sensitivity, specificity, PPV, NPV, and accuracy of the diagnostic algorithm were 86.7, 48.0, 94.4, 26.7, and 83.2%, respectively. Furthermore, in the differential diagnosis of undifferentiated adenocarcinoma from differentiated adenocarcinoma, the mean sensitivity, specificity, PPV, NPV, and accuracy of the diagnostic algorithm were 61.6, 86.3, 69.0, 84.8, and 79.1%, respectively. For the ME-NBI final diagnosis using this algorithm, the mean κ values for inter- and intra-observer agreement were 0.50 and 0.77, respectively. In conclusion, the diagnostic algorithm based on ME-NBI microvascular findings was convenient and had high diagnostic accuracy, reliability and reproducibility in the differential diagnosis of depressed gastric lesions. PMID:24649321

Geologic controls of subdivision damage near Denver, Colorado

USGS Publications Warehouse

Noe, D.C.

2005-01-01

This case study investigates the geologic controls on damaging ground deformations in a residential subdivision near Denver, Colo. Moderate to severe damage has occurred in certain areas where linear, parallel heave features with up to 0.3 in (1 ft) of differential displacement have formed across roads and under houses. Other areas have small, localized depressions that have formed in the roadsides with no discernable damage to nearby houses. Still other areas show no evidence of ground movements. The bedrock beneath the subdivision consists of steeply dipping Cretaceous strata of the Benton Shale, Niobrara Formation, and Pierre Shale. Quaternary soil deposits and fill, 0-16 m (0-53 ft) thick, overlie the bedrock. The most pronounced and damaging linear-heave features are coincident with steeply dipping, silty claystone with thin layers of very highly plastic bentonite. These heave features diminish as the depth to bedrock increases, and become small to negligible where the bedrock is overlain by 3 m (10 ft) or more of overburden soil deposits or fill. In contrast, areas having no visible damage and those having localized surface depressions are typically underlain by 1-12 m (3-39 ft) of alluvial-terrace deposits or fill. The depressions appear to have been caused by settlement over improperly filled water-and-sewer line trenches. The overall relationship between geology and ground deformations as seen in this subdivision may be useful for predicting, and thereby reducing, damage for future subdivision projects. Journal of Geotechnical and Geoenvironmental Engineering ?? ASCE.

Polymer Nanocomposites with Prescribed Morphology: Going Beyond Nanoparticle-Filled Polymers (Preprint)

DTIC Science & Technology

2006-10-01

evidence for these parallels through the depression of glass transition temperature in silica-filled polystyrene.31 For the final material performance...has been reported for molecular nanowires, tubes, ribbons, and rods (Li2Mo6- Se6, imogolite, Nb2PS10, V2O5 , boehmite (γ-AlOOH), aka- ganeite (â-FeOOH

Determinants for undetected dementia and late-life depression.

PubMed

Chen, Ruoling; Hu, Zhi; Chen, Ruo-Li; Ma, Ying; Zhang, Dongmei; Wilson, Kenneth

2013-09-01

Determinants for undetected dementia and late-life depression have been not well studied. To investigate risk factors for undetected dementia and depression in older communities. Using the method of the 10/66 algorithm, we interviewed a random sample of 7072 participants aged ≥60 years in six provinces of China during 2007-2011. We documented doctor-diagnosed dementia and depression in the interview. Using the validated 10/66 algorithm we diagnosed dementia (n = 359) and depression (n = 328). We found that 93.1% of dementia and 92.5% of depression was undetected. Both undetected dementia and depression were significantly associated with low levels of education and occupation, and living in a rural area. The risk of undetected dementia was also associated with 'help available when needed', and inversely, with a family history of mental illness and having functional impairment. Undetected depression was significantly related to female gender, low income, having more children and inversely with having heart disease. Older adults in China have high levels of undetected dementia and depression. General socioeconomic improvement, associated with mental health education, targeting high-risk populations are likely to increase detection of dementia and depression in older adults, providing a backdrop for culturally acceptable service development.

Dragon Skin - How It Changed Body Armor Testing in the United States Army

DTIC Science & Technology

2015-09-01

flat front surface for accurate and consistent measurement of depression depths. After the clay has been worked into the rigid frame, the clay backing...material will be simultaneously conditioned for use in filling depressions created by the drop testing and building up areas to fit non-planar body...clay consistency shall be such that a depression of [redacted] in depth is obtained when a [redacted] cylindrical steel mass (see Figure 4

DOE Office of Scientific and Technical Information (OSTI.GOV)

Bassi, Gabriele; Blednykh, Alexei; Smalyuk, Victor

A novel algorithm for self-consistent simulations of long-range wakefield effects has been developed and applied to the study of both longitudinal and transverse coupled-bunch instabilities at NSLS-II. The algorithm is implemented in the new parallel tracking code space (self-consistent parallel algorithm for collective effects) discussed in the paper. The code is applicable for accurate beam dynamics simulations in cases where both bunch-to-bunch and intrabunch motions need to be taken into account, such as chromatic head-tail effects on the coupled-bunch instability of a beam with a nonuniform filling pattern, or multibunch and single-bunch effects of a passive higher-harmonic cavity. The numericalmore » simulations have been compared with analytical studies. For a beam with an arbitrary filling pattern, intensity-dependent complex frequency shifts have been derived starting from a system of coupled Vlasov equations. The analytical formulas and numerical simulations confirm that the analysis is reduced to the formulation of an eigenvalue problem based on the known formulas of the complex frequency shifts for the uniform filling pattern case.« less

An efficient hole-filling method based on depth map in 3D view generation

NASA Astrophysics Data System (ADS)

Liang, Haitao; Su, Xiu; Liu, Yilin; Xu, Huaiyuan; Wang, Yi; Chen, Xiaodong

2018-01-01

New virtual view is synthesized through depth image based rendering(DIBR) using a single color image and its associated depth map in 3D view generation. Holes are unavoidably generated in the 2D to 3D conversion process. We propose a hole-filling method based on depth map to address the problem. Firstly, we improve the process of DIBR by proposing a one-to-four (OTF) algorithm. The "z-buffer" algorithm is used to solve overlap problem. Then, based on the classical patch-based algorithm of Criminisi et al., we propose a hole-filling algorithm using the information of depth map to handle the image after DIBR. In order to improve the accuracy of the virtual image, inpainting starts from the background side. In the calculation of the priority, in addition to the confidence term and the data term, we add the depth term. In the search for the most similar patch in the source region, we define the depth similarity to improve the accuracy of searching. Experimental results show that the proposed method can effectively improve the quality of the 3D virtual view subjectively and objectively.

Depression drug treatment outcomes in pregnancy and the postpartum period: a systematic review and meta-analysis.

PubMed

McDonagh, Marian S; Matthews, Annette; Phillipi, Carrie; Romm, Jillian; Peterson, Kim; Thakurta, Sujata; Guise, Jeanne-Marie

2014-09-01

To evaluate the comparative benefits and harms in both mother and child of antidepressant treatment for depression in pregnant or postpartum women. MEDLINE, the Cochrane Library, CINAHL, Scopus, ClinicalTrials.gov (inception to July 2013), manufacturers, and reference lists. Two reviewers independently selected studies of pregnant women with depression comparing antidepressants with each other, placebo or no treatment, or nondrug treatments. Studies making comparisons among women taking antidepressants for any reason and those not taking antidepressants (depression status unknown) were used to fill gaps in the evidence. Dual study data extraction and quality assessment were used. Six randomized controlled trials and 15 observational studies provided evidence. Low-strength evidence suggested neonates of pregnant women with depression taking selective serotonin reuptake inhibitors had higher risk of respiratory distress than did neonates of untreated women (13.9% compared with 7.8%; P<.001) but no difference in risk of neonatal convulsions (0.14% compared with 0.11%; P=.64) or preterm birth (17% compared with 10%; P=.07). Indirect evidence from studies of pregnant women receiving antidepressants for mixed or unreported reasons compared with pregnant women not taking antidepressants (depression status unknown) suggested future research should focus on congenital anomalies and autism spectrum and attention deficit disorders in the child. In postpartum depression, low-strength evidence suggested symptom response was not improved when sertraline was added to psychotherapy or when cognitive-behavioral therapy was added to paroxetine. Evidence was insufficient for other outcomes, including depression symptoms, functional capacity, breastfeeding, and infant and child development. A serious limitation is the lack of study populations of exclusively depressed pregnant and postpartum women. Evidence about the comparative benefits and harms of pharmacologic treatment of depression in pregnant and postpartum women was largely inadequate to allow informed decisions about treatment. Considering the prevalence of depression, filling this gap is essential.

Speckle tracking and speckle content based composite strain imaging for solid and fluid filled lesions.

PubMed

Rabbi, Md Shifat-E; Hasan, Md Kamrul

2017-02-01

Strain imaging though for solid lesions provides an effective way for determining their pathologic condition by displaying the tissue stiffness contrast, for fluid filled lesions such an imaging is yet an open problem. In this paper, we propose a novel speckle content based strain imaging technique for visualization and classification of fluid filled lesions in elastography after automatic identification of the presence of fluid filled lesions. Speckle content based strain, defined as a function of speckle density based on the relationship between strain and speckle density, gives an indirect strain value for fluid filled lesions. To measure the speckle density of the fluid filled lesions, two new criteria based on oscillation count of the windowed radio frequency signal and local variance of the normalized B-mode image are used. An improved speckle tracking technique is also proposed for strain imaging of the solid lesions and background. A wavelet-based integration technique is then proposed for combining the strain images from these two techniques for visualizing both the solid and fluid filled lesions from a common framework. The final output of our algorithm is a high quality composite strain image which can effectively visualize both solid and fluid filled breast lesions in addition to the speckle content of the fluid filled lesions for their discrimination. The performance of our algorithm is evaluated using the in vivo patient data and compared with recently reported techniques. The results show that both the solid and fluid filled lesions can be better visualized using our technique and the fluid filled lesions can be classified with good accuracy. Copyright © 2016 Elsevier B.V. All rights reserved.

Control method for high-pressure hydrogen vehicle fueling station dispensers

DOEpatents

Kountz, Kenneth John; Kriha, Kenneth Robert; Liss, William E.

2006-06-13

A method for quick filling a vehicle hydrogen storage vessel with hydrogen, the key component of which is an algorithm used to control the fill process, which interacts with the hydrogen dispensing apparatus to determine the vehicle hydrogen storage vessel capacity.

Depression comorbidity in spinocerebellar ataxia.

PubMed

Schmitz-Hübsch, Tanja; Coudert, Mathieu; Tezenas du Montcel, Sophie; Giunti, Paola; Labrum, Robyn; Dürr, Alexandra; Ribai, Pascale; Charles, Perrine; Linnemann, Christoph; Schöls, Ludger; Rakowicz, Maryla; Rola, Rafal; Zdzienicka, Elszbieta; Fancellu, Roberto; Mariotti, Caterina; Baliko, Lazlo; Melegh, Bela; Filla, Alessandro; Salvatore, Elena; van de Warrenburg, Bart P C; Szymanski, Sandra; Infante, Jon; Timmann, Dagmar; Boesch, Sylvia; Depondt, Chantal; Kang, Jun-Suk; Schulz, Jörg B; Klopstock, Thomas; Lossnitzer, Nicole; Löwe, Bernd; Frick, Caroline; Rottländer, Daniela; Schlaepfer, Thomas E; Klockgether, Thomas

2011-04-01

This is a description of the prevalence and profile of depressive symptoms in dominant spinocerebellar ataxia (SCA). Depressive symptoms were assessed in a convenience sample of 526 genetically confirmed and clinically affected patients (117 SCA1, 163 SCA2, 139 SCA3, and 107 SCA6) using the Patient Health Questionnaire (PHQ). In addition, depressive status according to the examiner and the use of antidepressants was recorded. Depression self-assessment was compared with an interview-based psychiatric assessment in a subset of 26 patients. Depression prevalence estimates were 17.1% according to the PHQ algorithm and 15.4% when assessed clinically. The sensitivity of clinical impression compared with PHQ classification was low (0.35), whereas diagnostic accuracy of PHQ compared with psychiatric interview in the subset was high. Antidepressants were used by 17.7% of patients and in >10% of patients without current clinically relevant depressive symptoms. Depression profile in SCA did not differ from a sample of patients with major depressive disorder except for the movement-related item. Neither depression prevalence nor use of antidepressants differed between genetic subtypes, with only sleep disturbance more common in SCA3. In a multivariate analysis, ataxia severity and female sex independently predicted depressive status in SCA. The PHQ algorithmic classification is appropriate for use in SCA but should stimulate further psychiatric evaluation if depression is indicated. Despite a higher risk for depression with more severe disease, the relation of depressive symptoms to SCA neurodegeneration remains to be shown. Copyright © 2011 Movement Disorder Society.

Analysis of ground penetrating radar data from the tunnel beneath the Temple of the Feathered Serpent in Teotihuacan, Mexico, using new multi-cross algorithms

NASA Astrophysics Data System (ADS)

López-Rodríguez, Flor; Velasco-Herrera, Víctor M.; Álvarez-Béjar, Román; Gómez-Chávez, Sergio; Gazzola, Julie

2016-11-01

The ground penetrating radar (GPR) -a non-invasive method based on the emission of electromagnetic waves and the reception of their reflections at the dielectric constant and electrical conductivity discontinuities of the materials surveyed- may be applied instead of the destructive and invasive methods used to find water in celestial bodies. As multichannel equipment is increasingly used, we developed two algorithms for multivariable wavelet analysis of GPR signals -multi-cross wavelet (MCW) and Fourier multi-cross function (FMC)- and applied them to analyze raw GPR traces of archeological subsurface strata. The traces were from the tunnel located beneath the Temple of the Feathered Serpent (The Citadel, Teotihuacan, Mexico), believed to represent the underworld, an outstanding region of the Mesoamerican mythology, home of telluric forces emanating from deities, where life was constantly created and recreated. GPR profiles obtained with 100 MHz antennas suggested the tunnel is 12-14 m deep and 100-120 m long with three chambers at its end, interpretations that were confirmed by excavations in 2014. Archeologists believe that due to the tunnel's sacredness and importance, one of the chambers may be the tomb of a ruler of the ancient city. The MCW and FMC algorithms determined the periods of subsurface strata of the tunnel. GPR traces inside-and-outside the tunnel/chamber, outside the tunnel/chamber and inside the tunnel/chamber analyzed with the MCW and filtered FMC algorithms determined the periods of the tunnel and chamber fillings, clay and matrix (limestone-clay compound). The tunnel filling period obtained by MCW analysis (14.37 ns) reflects the mixed limestone-clay compound of this stratum since its value is close to that of the period of the matrix (15.22 ns); periods of the chamber filling (11.40 ± 0.40 ns) and the matrix (11.40 ± 1.00 ns) were almost identical. FMC analysis of the tunnel obtained a period (5.08 ± 1.08 ns) close to that of the chamber (4.27 ± 0.82 ns), suggesting the tunnel and chamber are filled with similar materials. The use of both algorithms allows a deeper analysis since the similarities of the tunnel and chamber filling periods could not have been determined with the MCW algorithm alone. The successful application of the new multi-cross algorithms to archeological GPR data suggests they may also be used to search water and other resources in celestial bodies.

Bayesian algorithm implementation in a real time exposure assessment model on benzene with calculation of associated cancer risks.

PubMed

Sarigiannis, Dimosthenis A; Karakitsios, Spyros P; Gotti, Alberto; Papaloukas, Costas L; Kassomenos, Pavlos A; Pilidis, Georgios A

2009-01-01

The objective of the current study was the development of a reliable modeling platform to calculate in real time the personal exposure and the associated health risk for filling station employees evaluating current environmental parameters (traffic, meteorological and amount of fuel traded) determined by the appropriate sensor network. A set of Artificial Neural Networks (ANNs) was developed to predict benzene exposure pattern for the filling station employees. Furthermore, a Physiology Based Pharmaco-Kinetic (PBPK) risk assessment model was developed in order to calculate the lifetime probability distribution of leukemia to the employees, fed by data obtained by the ANN model. Bayesian algorithm was involved in crucial points of both model sub compartments. The application was evaluated in two filling stations (one urban and one rural). Among several algorithms available for the development of the ANN exposure model, Bayesian regularization provided the best results and seemed to be a promising technique for prediction of the exposure pattern of that occupational population group. On assessing the estimated leukemia risk under the scope of providing a distribution curve based on the exposure levels and the different susceptibility of the population, the Bayesian algorithm was a prerequisite of the Monte Carlo approach, which is integrated in the PBPK-based risk model. In conclusion, the modeling system described herein is capable of exploiting the information collected by the environmental sensors in order to estimate in real time the personal exposure and the resulting health risk for employees of gasoline filling stations.

Bayesian Algorithm Implementation in a Real Time Exposure Assessment Model on Benzene with Calculation of Associated Cancer Risks

PubMed Central

Sarigiannis, Dimosthenis A.; Karakitsios, Spyros P.; Gotti, Alberto; Papaloukas, Costas L.; Kassomenos, Pavlos A.; Pilidis, Georgios A.

2009-01-01

The objective of the current study was the development of a reliable modeling platform to calculate in real time the personal exposure and the associated health risk for filling station employees evaluating current environmental parameters (traffic, meteorological and amount of fuel traded) determined by the appropriate sensor network. A set of Artificial Neural Networks (ANNs) was developed to predict benzene exposure pattern for the filling station employees. Furthermore, a Physiology Based Pharmaco-Kinetic (PBPK) risk assessment model was developed in order to calculate the lifetime probability distribution of leukemia to the employees, fed by data obtained by the ANN model. Bayesian algorithm was involved in crucial points of both model sub compartments. The application was evaluated in two filling stations (one urban and one rural). Among several algorithms available for the development of the ANN exposure model, Bayesian regularization provided the best results and seemed to be a promising technique for prediction of the exposure pattern of that occupational population group. On assessing the estimated leukemia risk under the scope of providing a distribution curve based on the exposure levels and the different susceptibility of the population, the Bayesian algorithm was a prerequisite of the Monte Carlo approach, which is integrated in the PBPK-based risk model. In conclusion, the modeling system described herein is capable of exploiting the information collected by the environmental sensors in order to estimate in real time the personal exposure and the resulting health risk for employees of gasoline filling stations. PMID:22399936

Why so GLUMM? Detecting depression clusters through graphing lifestyle-environs using machine-learning methods (GLUMM).

PubMed

Dipnall, J F; Pasco, J A; Berk, M; Williams, L J; Dodd, S; Jacka, F N; Meyer, D

2017-01-01

Key lifestyle-environ risk factors are operative for depression, but it is unclear how risk factors cluster. Machine-learning (ML) algorithms exist that learn, extract, identify and map underlying patterns to identify groupings of depressed individuals without constraints. The aim of this research was to use a large epidemiological study to identify and characterise depression clusters through "Graphing lifestyle-environs using machine-learning methods" (GLUMM). Two ML algorithms were implemented: unsupervised Self-organised mapping (SOM) to create GLUMM clusters and a supervised boosted regression algorithm to describe clusters. Ninety-six "lifestyle-environ" variables were used from the National health and nutrition examination study (2009-2010). Multivariate logistic regression validated clusters and controlled for possible sociodemographic confounders. The SOM identified two GLUMM cluster solutions. These solutions contained one dominant depressed cluster (GLUMM5-1, GLUMM7-1). Equal proportions of members in each cluster rated as highly depressed (17%). Alcohol consumption and demographics validated clusters. Boosted regression identified GLUMM5-1 as more informative than GLUMM7-1. Members were more likely to: have problems sleeping; unhealthy eating; ≤2 years in their home; an old home; perceive themselves underweight; exposed to work fumes; experienced sex at ≤14 years; not perform moderate recreational activities. A positive relationship between GLUMM5-1 (OR: 7.50, P<0.001) and GLUMM7-1 (OR: 7.88, P<0.001) with depression was found, with significant interactions with those married/living with partner (P=0.001). Using ML based GLUMM to form ordered depressive clusters from multitudinous lifestyle-environ variables enabled a deeper exploration of the heterogeneous data to uncover better understandings into relationships between the complex mental health factors. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

An Improved DINEOF Algorithm for Filling Missing Values in Spatio-Temporal Sea Surface Temperature Data.

PubMed

Ping, Bo; Su, Fenzhen; Meng, Yunshan

2016-01-01

In this study, an improved Data INterpolating Empirical Orthogonal Functions (DINEOF) algorithm for determination of missing values in a spatio-temporal dataset is presented. Compared with the ordinary DINEOF algorithm, the iterative reconstruction procedure until convergence based on every fixed EOF to determine the optimal EOF mode is not necessary and the convergence criterion is only reached once in the improved DINEOF algorithm. Moreover, in the ordinary DINEOF algorithm, after optimal EOF mode determination, the initial matrix with missing data will be iteratively reconstructed based on the optimal EOF mode until the reconstruction is convergent. However, the optimal EOF mode may be not the best EOF for some reconstructed matrices generated in the intermediate steps. Hence, instead of using asingle EOF to fill in the missing data, in the improved algorithm, the optimal EOFs for reconstruction are variable (because the optimal EOFs are variable, the improved algorithm is called VE-DINEOF algorithm in this study). To validate the accuracy of the VE-DINEOF algorithm, a sea surface temperature (SST) data set is reconstructed by using the DINEOF, I-DINEOF (proposed in 2015) and VE-DINEOF algorithms. Four parameters (Pearson correlation coefficient, signal-to-noise ratio, root-mean-square error, and mean absolute difference) are used as a measure of reconstructed accuracy. Compared with the DINEOF and I-DINEOF algorithms, the VE-DINEOF algorithm can significantly enhance the accuracy of reconstruction and shorten the computational time.

Self-consistent Simulations and Analysis of the Coupled-Bunch Instability for Arbitrary Multi-Bunch Configurations

DOE PAGES

Bassi, Gabriele; Blednykh, Alexei; Smalyuk, Victor

2016-02-24

A novel algorithm for self-consistent simulations of long-range wakefield effects has been developed and applied to the study of both longitudinal and transverse coupled-bunch instabilities at NSLS-II. The algorithm is implemented in the new parallel tracking code space (self-consistent parallel algorithm for collective effects) discussed in the paper. The code is applicable for accurate beam dynamics simulations in cases where both bunch-to-bunch and intrabunch motions need to be taken into account, such as chromatic head-tail effects on the coupled-bunch instability of a beam with a nonuniform filling pattern, or multibunch and single-bunch effects of a passive higher-harmonic cavity. The numericalmore » simulations have been compared with analytical studies. For a beam with an arbitrary filling pattern, intensity-dependent complex frequency shifts have been derived starting from a system of coupled Vlasov equations. The analytical formulas and numerical simulations confirm that the analysis is reduced to the formulation of an eigenvalue problem based on the known formulas of the complex frequency shifts for the uniform filling pattern case.« less

Sparse Gaussian elimination with controlled fill-in on a shared memory multiprocessor

NASA Technical Reports Server (NTRS)

Alaghband, Gita; Jordan, Harry F.

1989-01-01

It is shown that in sparse matrices arising from electronic circuits, it is possible to do computations on many diagonal elements simultaneously. A technique for obtaining an ordered compatible set directly from the ordered incompatible table is given. The ordering is based on the Markowitz number of the pivot candidates. This technique generates a set of compatible pivots with the property of generating few fills. A novel heuristic algorithm is presented that combines the idea of an order-compatible set with a limited binary tree search to generate several sets of compatible pivots in linear time. An elimination set for reducing the matrix is generated and selected on the basis of a minimum Markowitz sum number. The parallel pivoting technique presented is a stepwise algorithm and can be applied to any submatrix of the original matrix. Thus, it is not a preordering of the sparse matrix and is applied dynamically as the decomposition proceeds. Parameters are suggested to obtain a balance between parallelism and fill-ins. Results of applying the proposed algorithms on several large application matrices using the HEP multiprocessor (Kowalik, 1985) are presented and analyzed.

The lakes of Titan

USGS Publications Warehouse

Stofan, E.R.; Elachi, C.; Lunine, J.I.; Lorenz, R.D.; Stiles, B.; Mitchell, K.L.; Ostro, S.; Soderblom, L.; Wood, C.; Zebker, H.; Wall, S.; Janssen, M.; Kirk, R.; Lopes, R.; Paganelli, F.; Radebaugh, J.; Wye, L.; Anderson, Y.; Allison, M.; Boehmer, R.; Callahan, P.; Encrenaz, P.; Flamini, E.; Francescetti, G.; Gim, Y.; Hamilton, G.; Hensley, S.; Johnson, W.T.K.; Kelleher, K.; Muhleman, D.; Paillou, P.; Picardi, G.; Posa, F.; Roth, L.; Seu, R.; Shaffer, S.; Vetrella, S.; West, R.

2007-01-01

The surface of Saturn's haze-shrouded moon Titan has long been proposed to have oceans or lakes, on the basis of the stability of liquid methane at the surface. Initial visible and radar imaging failed to find any evidence of an ocean, although abundant evidence was found that flowing liquids have existed on the surface. Here we provide definitive evidence for the presence of lakes on the surface of Titan, obtained during the Cassini Radar flyby of Titan on 22 July 2006 (T16). The radar imaging polewards of 70?? north shows more than 75 circular to irregular radar-dark patches, in a region where liquid methane and ethane are expected to be abundant and stable on the surface. The radar-dark patches are interpreted as lakes on the basis of their very low radar reflectivity and morphological similarities to lakes, including associated channels and location in topographic depressions. Some of the lakes do not completely fill the depressions in which they lie, and apparently dry depressions are present. We interpret this to indicate that lakes are present in a number of states, including partly dry and liquid-filled. These northern-hemisphere lakes constitute the strongest evidence yet that a condensable-liquid hydrological cycle is active in Titan's surface and atmosphere, in which the lakes are filled through rainfall and/or intersection with the subsurface 'liquid methane' table. ??2007 Nature Publishing Group.

Early improvement and response to antidepressant medications in adults with major depressive disorder. Meta-analysis and study of a sample with treatment-resistant depression.

PubMed

Olgiati, Paolo; Serretti, Alessandro; Souery, Daniel; Dold, Markus; Kasper, Siegfried; Montgomery, Stuart; Zohar, Joseph; Mendlewicz, Julien

2018-02-01

Initial improvement in the first weeks of antidepressant (AD) treatment is a useful early predictor of complete AD response. We performed a meta-analysis of AD studies to investigate whether a partial decrease in depressive symptoms by week 4 was associated with response and remission by weeks 6-14 in major depressive disorder (MDD). Finally, we focused on treatment-resistant depression (TRD: lack of response to prior AD) to test the impact of early improvement on a second AD treatment outcome and to compare different switching strategies. Meta-analysis was conducted on AD naturalistic studies published between 01.01.2000 and 06.30.2017. TRD was an exclusion criterion. TRD was analyzed in 407 MDD patients treated with venlafaxine for 6 weeks. The MADRS was used to define very early improvement (VEI: > 20% decrease at week 2), early improvement (EI: > 30% decrease at week 4) and remission (week 6 MADRS < 10). A theoretical model was used to simulate AD switch in TRD patients who failed to achieve remission (Algorithm A), VEI (Algorithm B) or EI (Algorithm C). Our meta-analysis (9 studies; N = 6185) showed significant associations between early improvement, response (OR: 3.28 95% C.I: 2.06-5.20) and remission (OR: 2.10 95% C.I: 1.53-2.87). 24.6% of TRD sample remitted. VEI was a poor outcome predictor: sensitivity = 0.52 (0.40-0.63); specificity = 0.82 (0.76-0.86); AUC = 0.67 (0.62-0.71). EI had a moderate predictive power: sensitivity = 0.87 (0.77-0.93); specificity = 0.71 (0.66-0.77); AUC = 0.76 (0.71-0.80). The best treatment scenario was Algorithm C (switch after 4 weeks) in which remission rate was marginally increased (35.1% vs 33.7% of Algorithm A). Algorithm B (switch after 2 weeks) led to a 4.3% decrease in remission compared to Algorithm A. Inclusion of a naturalistic sample without a control arm; simulation of treatments. Although literature data suggest a correlation between an initial improvement of depressive symptoms and later response and remission during AD treatment, our analysis shows that such an early improvement is not a reliable outcome predictor in TRD. The nature of TRD is complex and different biological mechanisms and treatments might be necessary for TRD patients. Copyright © 2017 Elsevier B.V. All rights reserved.

External validation of the international risk prediction algorithm for major depressive episode in the US general population: the PredictD-US study.

PubMed

Nigatu, Yeshambel T; Liu, Yan; Wang, JianLi

2016-07-22

Multivariable risk prediction algorithms are useful for making clinical decisions and for health planning. While prediction algorithms for new onset of major depression in the primary care attendees in Europe and elsewhere have been developed, the performance of these algorithms in different populations is not known. The objective of this study was to validate the PredictD algorithm for new onset of major depressive episode (MDE) in the US general population. Longitudinal study design was conducted with approximate 3-year follow-up data from a nationally representative sample of the US general population. A total of 29,621 individuals who participated in Wave 1 and 2 of the US National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) and who did not have an MDE in the past year at Wave 1 were included. The PredictD algorithm was directly applied to the selected participants. MDE was assessed by the Alcohol Use Disorder and Associated Disabilities Interview Schedule, based on the DSM-IV criteria. Among the participants, 8 % developed an MDE over three years. The PredictD algorithm had acceptable discriminative power (C-statistics = 0.708, 95 % CI: 0.696, 0.720), but poor calibration (p < 0.001) with the NESARC data. In the European primary care attendees, the algorithm had a C-statistics of 0.790 (95 % CI: 0.767, 0.813) with a perfect calibration. The PredictD algorithm has acceptable discrimination, but the calibration capacity was poor in the US general population despite of re-calibration. Therefore, based on the results, at current stage, the use of PredictD in the US general population for predicting individual risk of MDE is not encouraged. More independent validation research is needed.

Automated assessment of noninvasive filling pressure using color Doppler M-mode echocardiography

NASA Technical Reports Server (NTRS)

Greenberg, N. L.; Firstenberg, M. S.; Cardon, L. A.; Zuckerman, J.; Levine, B. D.; Garcia, M. J.; Thomas, J. D.

2001-01-01

Assessment of left ventricular filling pressure usually requires invasive hemodynamic monitoring to follow the progression of disease or the response to therapy. Previous investigations have shown accurate estimation of wedge pressure using noninvasive Doppler information obtained from the ratio of the wave propagation slope from color M-mode (CMM) images and the peak early diastolic filling velocity from transmitral Doppler images. This study reports an automated algorithm that derives an estimate of wedge pressure based on the spatiotemporal velocity distribution available from digital CMM Doppler images of LV filling.

Exemplar-Based Image Inpainting Using a Modified Priority Definition.

PubMed

Deng, Liang-Jian; Huang, Ting-Zhu; Zhao, Xi-Le

2015-01-01

Exemplar-based algorithms are a popular technique for image inpainting. They mainly have two important phases: deciding the filling-in order and selecting good exemplars. Traditional exemplar-based algorithms are to search suitable patches from source regions to fill in the missing parts, but they have to face a problem: improper selection of exemplars. To improve the problem, we introduce an independent strategy through investigating the process of patches propagation in this paper. We first define a new separated priority definition to propagate geometry and then synthesize image textures, aiming to well recover image geometry and textures. In addition, an automatic algorithm is designed to estimate steps for the new separated priority definition. Comparing with some competitive approaches, the new priority definition can recover image geometry and textures well.

Gap filling of 3-D microvascular networks by tensor voting.

PubMed

Risser, L; Plouraboue, F; Descombes, X

2008-05-01

We present a new algorithm which merges discontinuities in 3-D images of tubular structures presenting undesirable gaps. The application of the proposed method is mainly associated to large 3-D images of microvascular networks. In order to recover the real network topology, we need to fill the gaps between the closest discontinuous vessels. The algorithm presented in this paper aims at achieving this goal. This algorithm is based on the skeletonization of the segmented network followed by a tensor voting method. It permits to merge the most common kinds of discontinuities found in microvascular networks. It is robust, easy to use, and relatively fast. The microvascular network images were obtained using synchrotron tomography imaging at the European Synchrotron Radiation Facility. These images exhibit samples of intracortical networks. Representative results are illustrated.

Exemplar-Based Image Inpainting Using a Modified Priority Definition

PubMed Central

Deng, Liang-Jian; Huang, Ting-Zhu; Zhao, Xi-Le

2015-01-01

Exemplar-based algorithms are a popular technique for image inpainting. They mainly have two important phases: deciding the filling-in order and selecting good exemplars. Traditional exemplar-based algorithms are to search suitable patches from source regions to fill in the missing parts, but they have to face a problem: improper selection of exemplars. To improve the problem, we introduce an independent strategy through investigating the process of patches propagation in this paper. We first define a new separated priority definition to propagate geometry and then synthesize image textures, aiming to well recover image geometry and textures. In addition, an automatic algorithm is designed to estimate steps for the new separated priority definition. Comparing with some competitive approaches, the new priority definition can recover image geometry and textures well. PMID:26492491

Case-finding for common mental disorders of anxiety and depression in primary care: an external validation of routinely collected data.

PubMed

John, Ann; McGregor, Joanne; Fone, David; Dunstan, Frank; Cornish, Rosie; Lyons, Ronan A; Lloyd, Keith R

2016-03-15

The robustness of epidemiological research using routinely collected primary care electronic data to support policy and practice for common mental disorders (CMD) anxiety and depression would be greatly enhanced by appropriate validation of diagnostic codes and algorithms for data extraction. We aimed to create a robust research platform for CMD using population-based, routinely collected primary care electronic data. We developed a set of Read code lists (diagnosis, symptoms, treatments) for the identification of anxiety and depression in the General Practice Database (GPD) within the Secure Anonymised Information Linkage Databank at Swansea University, and assessed 12 algorithms for Read codes to define cases according to various criteria. Annual incidence rates were calculated per 1000 person years at risk (PYAR) to assess recording practice for these CMD between January 1(st) 2000 and December 31(st) 2009. We anonymously linked the 2799 MHI-5 Caerphilly Health and Social Needs Survey (CHSNS) respondents aged 18 to 74 years to their routinely collected GP data in SAIL. We estimated the sensitivity, specificity and positive predictive value of the various algorithms using the MHI-5 as the gold standard. The incidence of combined depression/anxiety diagnoses remained stable over the ten-year period in a population of over 500,000 but symptoms increased from 6.5 to 20.7 per 1000 PYAR. A 'historical' GP diagnosis for depression/anxiety currently treated plus a current diagnosis (treated or untreated) resulted in a specificity of 0.96, sensitivity 0.29 and PPV 0.76. Adding current symptom codes improved sensitivity (0.32) with a marginal effect on specificity (0.95) and PPV (0.74). We have developed an algorithm with a high specificity and PPV of detecting cases of anxiety and depression from routine GP data that incorporates symptom codes to reflect GP coding behaviour. We have demonstrated that using diagnosis and current treatment alone to identify cases for depression and anxiety using routinely collected primary care data will miss a number of true cases given changes in GP recording behaviour. The Read code lists plus the developed algorithms will be applicable to other routinely collected primary care datasets, creating a platform for future e-cohort research into these conditions.

Quality of care associated with common chronic diseases in a 9-state Medicaid population utilizing claims data: an evaluation of medication and health care use and costs.

PubMed

Priest, Julie L; Cantrell, C Ron; Fincham, Jack; Cook, Christopher L; Burch, Steven P

2011-02-01

The objective of this cross-sectional, retrospective study was to utilize claims data to establish a quality-of-care benchmark in a large multistate Medicaid population overall and by race. Quality of care and medication adherence (persistence and compliance) per national treatment guidelines, and health care costs/utilization were assessed across common chronic conditions in a large, 9-state Medicaid population. Overall, quality of care was suboptimal across conditions. Over 15% of asthma patients had ≥ 1 asthma-related emergency room/hospital event and 12% of chronic obstructive pulmonary disease patients had a Level II or III exacerbation. Only 36% of depression patients filled any antidepressant medication within 90 days of new episode. Only 45% of diabetes patients received ≥ 2 A1c tests. Patients who filled a prescription for any acceptable pharmacotherapy ranged from 35% (depression) to 83% (heart failure [HF]). Persistence for those filling any acceptable medication ranged from 16% (asthma) to 68% (HF). Compliance for patients filling ≥ 2 prescriptions ranged from 27% (asthma) to 75% (HF). Blacks had the lowest medication compliance and persistence for all conditions except hyperlipidemia. The results highlight the need to assess and improve quality across the spectrum of care, both overall and by race.

Lifestyle and Depression among Hong Kong Nurses.

PubMed

Cheung, Teris; Yip, Paul S F

2016-01-16

Recent longitudinal data suggest a close association between depression and lifestyle. Little work to date has estimated the prevalence of depression in the nursing workforce in China, nor considered what lifestyle factors might be correlated with it-a gap filled by the present study. The study's web-based cross-sectional survey solicited data from qualified nurses aged between 21 and 65 registered with the Hong Kong Nursing Council. The Depression, Anxiety and Stress Scale 21 was used to measure 850 nurses for depression, anxiety and symptoms of stress; a generalized linear regression model examined associations between lifestyle factors and depression. Mean depression symptom scores show a downward linear trend for male and female participants. Gender and age, however, did not emerge as significant predictors of depression. Three lifestyles factors (sleep, entertainment and hobbies) showed a significant association with depression. Nurses should make therapeutic lifestyle changes to improve their work-life balance and safeguard their functioning at work and personal well-being.

Lifestyle and Depression among Hong Kong Nurses

PubMed Central

Cheung, Teris; Yip, Paul S.F.

2016-01-01

Recent longitudinal data suggest a close association between depression and lifestyle. Little work to date has estimated the prevalence of depression in the nursing workforce in China, nor considered what lifestyle factors might be correlated with it—a gap filled by the present study. The study’s web-based cross-sectional survey solicited data from qualified nurses aged between 21 and 65 registered with the Hong Kong Nursing Council. The Depression, Anxiety and Stress Scale 21 was used to measure 850 nurses for depression, anxiety and symptoms of stress; a generalized linear regression model examined associations between lifestyle factors and depression. Mean depression symptom scores show a downward linear trend for male and female participants. Gender and age, however, did not emerge as significant predictors of depression. Three lifestyles factors (sleep, entertainment and hobbies) showed a significant association with depression. Nurses should make therapeutic lifestyle changes to improve their work-life balance and safeguard their functioning at work and personal well-being. PMID:26784216

Insomnia and the risk of depression: a meta-analysis of prospective cohort studies.

PubMed

Li, Liqing; Wu, Chunmei; Gan, Yong; Qu, Xianguo; Lu, Zuxun

2016-11-05

Observational studies suggest that insomnia might be associated with an increased risk of depression with inconsistent results. This study aimed at conducting a meta-analysis of prospective cohort studies to evaluate the association between insomnia and the risk of depression. Relevant cohort studies were comprehensively searched from the PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases (up to October 2014) and from the reference lists of retrieved articles. A random-effects model was used to calculate the pooled risk estimates and 95 % confidence intervals (CIs). The I 2 statistic was used to assess the heterogeneity and potential sources of heterogeneity were assessed with meta-regression. The potential publication bias was explored by using funnel plots, Egger's test, and Duval and Tweedie trim-and-fill methods. Thirty-four cohort studies involving 172,077 participants were included in this meta-analysis with an average follow-up period of 60.4 months (ranging from 3.5 to 408). Statistical analysis suggested a positive relationship between insomnia and depression, the pooled RR was 2.27 (95 % CI: 1.89-2.71), and a high heterogeneity was observed (I 2  = 92.6 %, P < 0.001). Visual inspection of the funnel plot revealed some asymmetry. The Egger's test identified evidence of substantial publication bias (P <0.05), but correction for this bias using trim-and-fill method did not alter the combined risk estimates. This meta-analysis indicates that insomnia is significantly associated with an increased risk of depression, which has implications for the prevention of depression in non-depressed individuals with insomnia symptoms.

Impact of an acceptance facilitating intervention on diabetes patients' acceptance of Internet-based interventions for depression: a randomized controlled trial.

PubMed

Baumeister, H; Nowoczin, L; Lin, J; Seifferth, H; Seufert, J; Laubner, K; Ebert, D D

2014-07-01

To (1) determine diabetes patients' acceptance of Internet-based interventions (IBIs) for depression, to (2) examine the effectiveness of an acceptance facilitating intervention (AFI) and to (3) explore subgroup specific effects. 141 diabetes patients from two inpatient rehabilitation units and one outpatient clinic in Germany were randomly allocated to an intervention (IG) and a no-intervention control group (CG). The IG received an AFI consisting of a personal information session before filling-out a questionnaire on patients' acceptance of IBIs, predictors of acceptance (performance expectancy, effort expectancy, social influence, facilitating conditions, and Internet anxiety) as well as sociodemographic, depression-related and diabetes-related variables. The CG filled out the questionnaire immediately. Patients' acceptance of IBIs was measured with a four-item scale (sum-score ranging from 4 to 20). The CG showed a low (50.7%) to medium (40.8%) acceptance with only 8.5% of all diabetes patients reporting a high acceptance of IBIs for depression. The AFI had no significant effect on acceptance (IG: M=10.55, SD=4.69, n=70; KG: M=9.65, SD=4.27, n=71; d=0.20 [95%-CI: -0.13;0.53]) and the predictors of acceptance. Yet, subgroup analyses yielded a trend for depressed, diabetes-related distressed, female and younger (<59) participants and for those who do not frequently use the Internet to profit from the AFI. Diabetes patients show a rather low acceptance toward IBIs for depression. Findings indicate that the AFI is likely to be effective in the subgroup of depressed, diabetes-related distressed, female or younger diabetes patients, but not in the whole target population. Hence, AFIs might need to be tailored to the specific needs of subpopulations. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Graph theory applied to the analysis of motor activity in patients with schizophrenia and depression

PubMed Central

Fasmer, Erlend Eindride; Berle, Jan Øystein; Oedegaard, Ketil J.; Hauge, Erik R.

2018-01-01

Depression and schizophrenia are defined only by their clinical features, and diagnostic separation between them can be difficult. Disturbances in motor activity pattern are central features of both types of disorders. We introduce a new method to analyze time series, called the similarity graph algorithm. Time series of motor activity, obtained from actigraph registrations over 12 days in depressed and schizophrenic patients, were mapped into a graph and we then applied techniques from graph theory to characterize these time series, primarily looking for changes in complexity. The most marked finding was that depressed patients were found to be significantly different from both controls and schizophrenic patients, with evidence of less regularity of the time series, when analyzing the recordings with one hour intervals. These findings support the contention that there are important differences in control systems regulating motor behavior in patients with depression and schizophrenia. The similarity graph algorithm we have described can easily be applied to the study of other types of time series. PMID:29668743

Graph theory applied to the analysis of motor activity in patients with schizophrenia and depression.

PubMed

Fasmer, Erlend Eindride; Fasmer, Ole Bernt; Berle, Jan Øystein; Oedegaard, Ketil J; Hauge, Erik R

2018-01-01

Depression and schizophrenia are defined only by their clinical features, and diagnostic separation between them can be difficult. Disturbances in motor activity pattern are central features of both types of disorders. We introduce a new method to analyze time series, called the similarity graph algorithm. Time series of motor activity, obtained from actigraph registrations over 12 days in depressed and schizophrenic patients, were mapped into a graph and we then applied techniques from graph theory to characterize these time series, primarily looking for changes in complexity. The most marked finding was that depressed patients were found to be significantly different from both controls and schizophrenic patients, with evidence of less regularity of the time series, when analyzing the recordings with one hour intervals. These findings support the contention that there are important differences in control systems regulating motor behavior in patients with depression and schizophrenia. The similarity graph algorithm we have described can easily be applied to the study of other types of time series.

Quantifying uncertainty in read-across assessment – an algorithmic approach - (SOT)

EPA Science Inventory

Read-across is a popular data gap filling technique within category and analogue approaches for regulatory purposes. Acceptance of read-across remains an ongoing challenge with several efforts underway for identifying and addressing uncertainties. Here we demonstrate an algorithm...

Optimal Decentralized Protocol for Electric Vehicle Charging

DOE Office of Scientific and Technical Information (OSTI.GOV)

Gan, LW; Topcu, U; Low, SH

We propose a decentralized algorithm to optimally schedule electric vehicle (EV) charging. The algorithm exploits the elasticity of electric vehicle loads to fill the valleys in electric load profiles. We first formulate the EV charging scheduling problem as an optimal control problem, whose objective is to impose a generalized notion of valley-filling, and study properties of optimal charging profiles. We then give a decentralized algorithm to iteratively solve the optimal control problem. In each iteration, EVs update their charging profiles according to the control signal broadcast by the utility company, and the utility company alters the control signal to guidemore » their updates. The algorithm converges to optimal charging profiles (that are as "flat" as they can possibly be) irrespective of the specifications (e.g., maximum charging rate and deadline) of EVs, even if EVs do not necessarily update their charging profiles in every iteration, and use potentially outdated control signal when they update. Moreover, the algorithm only requires each EV solving its local problem, hence its implementation requires low computation capability. We also extend the algorithm to track a given load profile and to real-time implementation.« less

[Depression Symptoms of Mothers and Fathers of Persons with Schizophrenia].

PubMed

Alexandrowicz, Rainer W; König, Daniel; Unger, Annemarie; Klug, Günter; Soulier, Nathalie; Freidl, Marion; Friedrich, Fabian

2016-05-01

The purpose of the present study was to investigate if depression symptomatology of patients' parents is predicted by the symptoms of schizophrenia. 101 mothers and 101 fathers of the same patients suffering from schizophrenia were included into this study. Parents filled in the "Beck Depression Inventory". Patients were assessed by means of the "Positive and Negative Syndrome Scale". For statistical analyses a Multidimensional Random Coefficients Multinomial Logit Model was applied. We found a significant positive association between negative symptoms and depression severity of fathers and mothers. Further, a significant positive association between positive symptoms and depression severity of fathers, but not of mothers was found. Our results show that depression of mothers and of fathers is associated with symptoms of schizophrenia even when controlling for potential predictors. © Georg Thieme Verlag KG Stuttgart · New York.

A Simulated Annealing Algorithm for the Optimization of Multistage Depressed Collector Efficiency

NASA Technical Reports Server (NTRS)

Vaden, Karl R.; Wilson, Jeffrey D.; Bulson, Brian A.

2002-01-01

The microwave traveling wave tube amplifier (TWTA) is widely used as a high-power transmitting source for space and airborne communications. One critical factor in designing a TWTA is the overall efficiency. However, overall efficiency is highly dependent upon collector efficiency; so collector design is critical to the performance of a TWTA. Therefore, NASA Glenn Research Center has developed an optimization algorithm based on Simulated Annealing to quickly design highly efficient multi-stage depressed collectors (MDC).

Into the Bowels of Depression: Unravelling Medical Symptoms Associated with Depression by Applying Machine-Learning Techniques to a Community Based Population Sample.

PubMed

Dipnall, Joanna F; Pasco, Julie A; Berk, Michael; Williams, Lana J; Dodd, Seetal; Jacka, Felice N; Meyer, Denny

2016-01-01

Depression is commonly comorbid with many other somatic diseases and symptoms. Identification of individuals in clusters with comorbid symptoms may reveal new pathophysiological mechanisms and treatment targets. The aim of this research was to combine machine-learning (ML) algorithms with traditional regression techniques by utilising self-reported medical symptoms to identify and describe clusters of individuals with increased rates of depression from a large cross-sectional community based population epidemiological study. A multi-staged methodology utilising ML and traditional statistical techniques was performed using the community based population National Health and Nutrition Examination Study (2009-2010) (N = 3,922). A Self-organised Mapping (SOM) ML algorithm, combined with hierarchical clustering, was performed to create participant clusters based on 68 medical symptoms. Binary logistic regression, controlling for sociodemographic confounders, was used to then identify the key clusters of participants with higher levels of depression (PHQ-9≥10, n = 377). Finally, a Multiple Additive Regression Tree boosted ML algorithm was run to identify the important medical symptoms for each key cluster within 17 broad categories: heart, liver, thyroid, respiratory, diabetes, arthritis, fractures and osteoporosis, skeletal pain, blood pressure, blood transfusion, cholesterol, vision, hearing, psoriasis, weight, bowels and urinary. Five clusters of participants, based on medical symptoms, were identified to have significantly increased rates of depression compared to the cluster with the lowest rate: odds ratios ranged from 2.24 (95% CI 1.56, 3.24) to 6.33 (95% CI 1.67, 24.02). The ML boosted regression algorithm identified three key medical condition categories as being significantly more common in these clusters: bowel, pain and urinary symptoms. Bowel-related symptoms was found to dominate the relative importance of symptoms within the five key clusters. This methodology shows promise for the identification of conditions in general populations and supports the current focus on the potential importance of bowel symptoms and the gut in mental health research.

Natural versus anthropogenic genesis of mardels (closed depressions) on the Gutland plateau (Luxembourg); archaeometrical and palynological evidence of Roman clay excavation from mardels.

NASA Astrophysics Data System (ADS)

van Mourik, Jan; Braekmans, Dennis; Doorenbosch, Marieke; Kuijper, Wim; van der Plicht, Hans

2016-04-01

Mardels, small closed depressions, are distinctive landforms on the Luxembourger Gutland plateau. In the present landscape most mardels are shallow fens, filled with colluvial sediments. The genesis of mardels has been studied intensively, inside and outside Luxembourg. Some researchers suggested a natural development and consider mardels as subsidence basins due to subsurface solution of gypsum veins, other researchers suggested cultural causes and consider mardels as prehistorical quarries. In the Gutland, mardels occur on various substrates. Mardels on the Strassen marls (li3) are abandoned quarries, related to clay excavation in Roman Time. Mardels on the Luxembourger sandstone (li2) are sinkholes, related to joint patterns in the sandstone formation. Mardels on the Keuper marls (km1,3) are originally subsidence basins, related to subsurface dissolutions of gypsum lenses and veins, filled with colluvial clay. The results of pollen analysis and archaeometrical tests demonstrate Roman extraction of clay for the production of ancient ceramics. So, the natural depressions have been enlarged to the present mardels. After excavation, the sedimentation of colluvium restarted in the abandoned quarries.

From prenatal anxiety to parenting stress: a longitudinal study.

PubMed

Huizink, A C; Menting, B; De Moor, M H M; Verhage, M L; Kunseler, F C; Schuengel, C; Oosterman, M

2017-10-01

The objective of this study was to explore how maternal mood during pregnancy, i.e., general anxiety, pregnancy-specific anxiety, and depression predicted parenting stress 3 months after giving birth, thereby shaping the child's early postnatal environmental circumstances. To this end, data were used from 1073 women participating in the Dutch longitudinal cohort Generations 2 , which studies first-time pregnant mothers during pregnancy and across the transition to parenthood. Women filled out the State Trait Anxiety Inventory (STAI), Pregnancy-Related Anxiety Questionnaire-revised (PRAQ-R), and Beck Depression Index (BDI) three times during pregnancy: at 12, 22, and 32 weeks gestational age. Three months postpartum, a parenting stress questionnaire was filled out yielding seven different parenting constructs. Latent scores were computed for each of the repeatedly measured maternal mood variables with Mplus and parenting stress constructs were simultaneously regressed on these latent scores. Results showed that trait anxiety and pregnancy-specific anxiety were uniquely related to almost all parenting stress constructs, taking depression into account. Early prevention and intervention to reduce maternal anxiety in pregnancy could hold the key for a more advantageous trajectory of early postnatal parenting.

EEG alpha frequency correlates of burnout and depression: The role of gender.

PubMed

Tement, Sara; Pahor, Anja; Jaušovec, Norbert

2016-02-01

EEG alpha frequency band biomarkers of depression are widely explored. Due to their trait-like features, they may help distinguish between depressive and burnout symptomatology, which is often referred to as "work-related depression". The present correlational study strived to examine whether individual alpha frequency (IAF), power, and coherence in the alpha band can provide evidence for establishing burnout as a separate diagnostic entity. Resting EEG (eyes closed) was recorded in 117 individuals (42 males). In addition, the participants filled-out questionnaires of burnout and depression. Regression analyses highlighted the differential value of IAF and power in predicting burnout and depression. IAF was significantly related to depressive symptomatology, whereas power was linked mostly to burnout. Moreover, seven out of twelve interactions between EEG indicators and gender were significant. Connectivity patterns were significant for depression displaying gender-related differences. The results offer tentative support for establishing burnout as a separate clinical syndrome. Copyright © 2015 Elsevier B.V. All rights reserved.

Reduction of Non-uniform Beam Filling Effects by Vertical Decorrelation: Theory and Simulations

NASA Technical Reports Server (NTRS)

Short, David; Nakagawa, Katsuhiro; Iguchi, Toshio

2013-01-01

Algorithms for estimating precipitation rates from spaceborne radar observations of apparent radar reflectivity depend on attenuation correction procedures. The algorithm suite for the Ku-band precipitation radar aboard the Tropical Rainfall Measuring Mission satellite is one such example. The well-known problem of nonuniform beam filling is a source of error in the estimates, especially in regions where intense deep convection occurs. The error is caused by unresolved horizontal variability in precipitation characteristics such as specific attenuation, rain rate, and effective reflectivity factor. This paper proposes the use of vertical decorrelation for correcting the nonuniform beam filling error developed under the assumption of a perfect vertical correlation. Empirical tests conducted using ground-based radar observations in the current simulation study show that decorrelation effects are evident in tilted convective cells. However, the problem of obtaining reasonable estimates of a governing parameter from the satellite data remains unresolved.

Pairwise measures of causal direction in the epidemiology of sleep problems and depression.

PubMed

Rosenström, Tom; Jokela, Markus; Puttonen, Sampsa; Hintsanen, Mirka; Pulkki-Råback, Laura; Viikari, Jorma S; Raitakari, Olli T; Keltikangas-Järvinen, Liisa

2012-01-01

Depressive mood is often preceded by sleep problems, suggesting that they increase the risk of depression. Sleep problems can also reflect prodromal symptom of depression, thus temporal precedence alone is insufficient to confirm causality. The authors applied recently introduced statistical causal-discovery algorithms that can estimate causality from cross-sectional samples in order to infer the direction of causality between the two sets of symptoms from a novel perspective. Two common-population samples were used; one from the Young Finns study (690 men and 997 women, average age 37.7 years, range 30-45), and another from the Wisconsin Longitudinal study (3101 men and 3539 women, average age 53.1 years, range 52-55). These included three depression questionnaires (two in Young Finns data) and two sleep problem questionnaires. Three different causality estimates were constructed for each data set, tested in a benchmark data with a (practically) known causality, and tested for assumption violations using simulated data. Causality algorithms performed well in the benchmark data and simulations, and a prediction was drawn for future empirical studies to confirm: for minor depression/dysphoria, sleep problems cause significantly more dysphoria than dysphoria causes sleep problems. The situation may change as depression becomes more severe, or more severe levels of symptoms are evaluated; also, artefacts due to severe depression being less well presented in the population data than minor depression may intervene the estimation for depression scales that emphasize severe symptoms. The findings are consistent with other emerging epidemiological and biological evidence.

Korean Medication Algorithm for Depressive Disorders 2017: Third Revision

PubMed Central

Seo, Jeong Seok; Wang, Hee Ryung; Woo, Young Sup; Park, Young-Min; Jeong, Jong-Hyun; Kim, Won; Shim, Se-Hoon; Lee, Jung Goo; Jon, Duk-In

2018-01-01

Objective In 2002, the Korean Society for Affective Disorders developed the guidelines for the treatment of major depressive disorder (MDD), and revised it in 2006 and 2012. The third revision of these guidelines was undertaken to reflect advances in the field. Methods Using a 44-item questionnaire, an expert consensus was obtained on pharmacological treatment strategies for MDD 1) without or 2) with psychotic features, 3) depression subtypes, 4) maintenance, 5) special populations, 6) the choice of an antidepressant (AD) regarding safety and adverse effects, and 7) non-pharmacological biological therapies. Recommended first, second, and third-line strategies were derived statistically. Results AD monotherapy is recommended as the first-line strategy for non-psychotic depression in adults, children/adolescents, elderly adults, patient with persistent depressive disorder, and pregnant women or patients with postpartum depression or premenstrual dysphoric disorder. The combination of AD and atypical antipsychotics (AAP) was recommended for psychotic depression in adult, child/adolescent, postpartum depression, and mixed features or anxious distress. Most experts recommended stopping the ongoing initial AD and AAP after a certain period in patients with one or two depressive episodes. As an MDD treatment modality, 92% of experts are considering electroconvulsive therapy and 46.8% are applying it clinically, while 86% of experts are considering repetitive transcranial magnetic stimulation but only 31.6% are applying it clinically. Conclusion The pharmacological treatment strategy in 2017 is similar to that of Korean Medication Algorithm for Depressive Disorder 2012. The preference of AAPs was more increased. PMID:29397669

Highly variable aerodynamic roughness length (z0) for a hummocky debris-covered glacier

NASA Astrophysics Data System (ADS)

Miles, Evan S.; Steiner, Jakob F.; Brun, Fanny

2017-08-01

The aerodynamic roughness length (z0) is an essential parameter in surface energy balance studies, but few literature values exist for debris-covered glaciers. We use microtopographic and aerodynamic methods to assess the spatial variability of z0 for Lirung Glacier, Nepal. We apply structure from motion to produce digital elevation models for three nested domains: five 1 m2 plots, a 21,300 m2 surface depression, and the lower 550,000 m2 of the debris-mantled tongue. Wind and temperature sensor towers were installed in the vicinity of the plots within the surface depression in October 2014. We calculate z0 according to a variety of transect-based microtopographic parameterizations for each plot, then develop a grid version of the algorithms by aggregating data from all transects. This grid approach is applied to the surface depression digital elevation model to characterize z0 spatial variability. The algorithms reproduce the same variability among transects and plots, but z0 estimates vary by an order of magnitude between algorithms. Across the study depression, results from different algorithms are strongly correlated. Using Monin-Obukov similarity theory, we derive z0 values from the meteorological data. Using different stability criteria, we derive median values of z0 between 0.03 m and 0.05 m, but with considerable uncertainty due to the glacier's complex topography. Considering estimates from these algorithms, results suggest that z0 varies across Lirung Glacier between ˜0.005 m (gravels) to ˜0.5 m (boulders). Future efforts should assess the importance of such variable z0 values in a distributed energy balance model.

Right unilateral electroconvulsive therapy does not cause more cognitive impairment than pharmacologic treatment in treatment-resistant bipolar depression: A 6-month randomized controlled trial follow-up study.

PubMed

Bjoerke-Bertheussen, Jeanette; Schoeyen, Helle; Andreassen, Ole A; Malt, Ulrik F; Oedegaard, Ketil J; Morken, Gunnar; Sundet, Kjetil; Vaaler, Arne E; Auestad, Bjoern; Kessler, Ute

2017-12-21

Electroconvulsive therapy is an effective treatment for bipolar depression, but there are concerns about whether it causes long-term neurocognitive impairment. In this multicenter randomized controlled trial, in-patients with treatment-resistant bipolar depression were randomized to either algorithm-based pharmacologic treatment or right unilateral electroconvulsive therapy. After the 6-week treatment period, all of the patients received maintenance pharmacotherapy as recommended by their clinician guided by a relevant treatment algorithm. Patients were assessed at baseline and at 6 months. Neurocognitive functions were assessed using the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery, and autobiographical memory consistency was assessed using the Autobiographical Memory Interview-Short Form. Seventy-three patients entered the trial, of whom 51 and 26 completed neurocognitive assessments at baseline and 6 months, respectively. The MATRICS Consensus Cognitive Battery composite score improved by 4.1 points in both groups (P = .042) from baseline to 6 months (from 40.8 to 44.9 and from 41.9 to 46.0 in the algorithm-based pharmacologic treatment and electroconvulsive therapy groups, respectively). The Autobiographical Memory Interview-Short Form consistency scores were reduced in both groups (72.3% vs 64.3% in the algorithm-based pharmacologic treatment and electroconvulsive therapy groups, respectively; P = .085). This study did not find that right unilateral electroconvulsive therapy caused long-term impairment in neurocognitive functions compared to algorithm-based pharmacologic treatment in bipolar depression as measured using standard neuropsychological tests, but due to the low number of patients in the study the results should be interpreted with caution. ClinicalTrials.gov: NCT00664976. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Application of ant colony optimization in development of models for prediction of anti-HIV-1 activity of HEPT derivatives.

PubMed

Zare-Shahabadi, Vali; Abbasitabar, Fatemeh

2010-09-01

Quantitative structure-activity relationship models were derived for 107 analogs of 1-[(2-hydroxyethoxy) methyl]-6-(phenylthio)thymine, a potent inhibitor of the HIV-1 reverse transcriptase. The activities of these compounds were investigated by means of multiple linear regression (MLR) technique. An ant colony optimization algorithm, called Memorized_ACS, was applied for selecting relevant descriptors and detecting outliers. This algorithm uses an external memory based upon knowledge incorporation from previous iterations. At first, the memory is empty, and then it is filled by running several ACS algorithms. In this respect, after each ACS run, the elite ant is stored in the memory and the process is continued to fill the memory. Here, pheromone updating is performed by all elite ants collected in the memory; this results in improvements in both exploration and exploitation behaviors of the ACS algorithm. The memory is then made empty and is filled again by performing several ACS algorithms using updated pheromone trails. This process is repeated for several iterations. At the end, the memory contains several top solutions for the problem. Number of appearance of each descriptor in the external memory is a good criterion for its importance. Finally, prediction is performed by the elitist ant, and interpretation is carried out by considering the importance of each descriptor. The best MLR model has a training error of 0.47 log (1/EC(50)) units (R(2) = 0.90) and a prediction error of 0.76 log (1/EC(50)) units (R(2) = 0.88). Copyright 2010 Wiley Periodicals, Inc.

Interflow dynamics on a low relief forested hillslope: Lots of fill, little spill

DOE PAGES

Du, Enhao; Rhett Jackson, C.; Klaus, Julian; ...

2016-01-27

In this paper, we evaluated the occurrence of perching and interflow over and within a sandy clay loam argillic horizon within first-order, low-relief, forested catchments at the Savannah River Site (SRS) in the Upper Coastal Plain of South Carolina. We measured soil hydraulic properties, depths to the argillic layer, soil moisture, shallow groundwater behavior, interflow interception trench flows, and streamflow over a 4-year period to explore the nature and variability of soil hydraulic characteristics, the argillic “topography”, and their influence on interflow generation. Perching occurred frequently within and above the restricting argillic horizons during our monitoring period, but interflow wasmore » infrequent due to microtopographic relief and associated depression storage on the argillic layer surface. High percolation rates through the argillic horizon, particularly through soil anomalies, also reduced the importance of interflow. Interflow generation was highly variable across eleven segments of a 121 m interception trench. Hillslopes were largely disconnected from stream behavior during storms. Hillslope processes were consistent with the fill-and-spill hypothesis and featured a sequence of distinct thresholds: vertical wetting front propagation to the argillic layer; saturation of the argillic followed by local perching; filling of argillic layer depressions; and finally connectivity of depressions leading to interflow generation. Lastly, analysis of trench flow data indicated a cumulative rainfall threshold of 60 mm to generate interflow, a value at the high end of the range of thresholds reported elsewhere.« less

Interflow dynamics on a low relief forested hillslope: Lots of fill, little spill

DOE Office of Scientific and Technical Information (OSTI.GOV)

Du, Enhao; Rhett Jackson, C.; Klaus, Julian

In this paper, we evaluated the occurrence of perching and interflow over and within a sandy clay loam argillic horizon within first-order, low-relief, forested catchments at the Savannah River Site (SRS) in the Upper Coastal Plain of South Carolina. We measured soil hydraulic properties, depths to the argillic layer, soil moisture, shallow groundwater behavior, interflow interception trench flows, and streamflow over a 4-year period to explore the nature and variability of soil hydraulic characteristics, the argillic “topography”, and their influence on interflow generation. Perching occurred frequently within and above the restricting argillic horizons during our monitoring period, but interflow wasmore » infrequent due to microtopographic relief and associated depression storage on the argillic layer surface. High percolation rates through the argillic horizon, particularly through soil anomalies, also reduced the importance of interflow. Interflow generation was highly variable across eleven segments of a 121 m interception trench. Hillslopes were largely disconnected from stream behavior during storms. Hillslope processes were consistent with the fill-and-spill hypothesis and featured a sequence of distinct thresholds: vertical wetting front propagation to the argillic layer; saturation of the argillic followed by local perching; filling of argillic layer depressions; and finally connectivity of depressions leading to interflow generation. Lastly, analysis of trench flow data indicated a cumulative rainfall threshold of 60 mm to generate interflow, a value at the high end of the range of thresholds reported elsewhere.« less

Breast Cancer Patients' Depression Prediction by Machine Learning Approach.

PubMed

Cvetković, Jovana

2017-09-14

One of the most common cancer in females is breasts cancer. This cancer can has high impact on the women including health and social dimensions. One of the most common social dimension is depression caused by breast cancer. Depression can impairs life quality. Depression is one of the symptom among the breast cancer patients. One of the solution is to eliminate the depression in breast cancer patients is by treatments but these treatments can has different unpredictable impacts on the patients. Therefore it is suitable to develop algorithm in order to predict the depression range.

The Texas Medication Algorithm Project (TMAP) schizophrenia algorithms.

PubMed

Miller, A L; Chiles, J A; Chiles, J K; Crismon, M L; Rush, A J; Shon, S P

1999-10-01

In the Texas Medication Algorithm Project (TMAP), detailed guidelines for medication management of schizophrenia and related disorders, bipolar disorders, and major depressive disorders have been developed and implemented. This article describes the algorithms developed for medication treatment of schizophrenia and related disorders. The guidelines recommend a sequence of medications and discuss dosing, duration, and switch-over tactics. They also specify response criteria at each stage of the algorithm for both positive and negative symptoms. The rationale and evidence for each aspect of the algorithms are presented.

Segmentation of suspicious objects in an x-ray image using automated region filling approach

NASA Astrophysics Data System (ADS)

Fu, Kenneth; Guest, Clark; Das, Pankaj

2009-08-01

To accommodate the flow of commerce, cargo inspection systems require a high probability of detection and low false alarm rate while still maintaining a minimum scan speed. Since objects of interest (high atomic-number metals) will often be heavily shielded to avoid detection, any detection algorithm must be able to identify such objects despite the shielding. Since pixels of a shielded object have a greater opacity than the shielding, we use a clustering method to classify objects in the image by pixel intensity levels. We then look within each intensity level region for sub-clusters of pixels with greater opacity than the surrounding region. A region containing an object has an enclosed-contour region (a hole) inside of it. We apply a region filling technique to fill in the hole, which represents a shielded object of potential interest. One method for region filling is seed-growing, which puts a "seed" starting point in the hole area and uses a selected structural element to fill out that region. However, automatic seed point selection is a hard problem; it requires additional information to decide if a pixel is within an enclosed region. Here, we propose a simple, robust method for region filling that avoids the problem of seed point selection. In our approach, we calculate the gradient Gx and Gy at each pixel in a binary image, and fill in 1s between a pair of x1 Gx(x1,y)=-1 and x2 Gx(x2,y)=1, and do the same thing in y-direction. The intersection of the two results will be filled region. We give a detailed discussion of our algorithm, discuss the strengths this method has over other methods, and show results of using our method.

Korean Medication Algorithm for Depressive Disorder: Comparisons with Other Treatment Guidelines

PubMed Central

Wang, Hee Ryung; Park, Young-Min; Lee, Hwang Bin; Song, Hoo Rim; Jeong, Jong-Hyun; Seo, Jeong Seok; Lim, Eun-Sung; Hong, Jeong-Wan; Kim, Won; Jon, Duk-In; Hong, Jin-Pyo; Woo, Young Sup; Min, Kyung Joon

2014-01-01

We aimed to compare the recommendations of the Korean Medication Algorithm Project for Depressive Disorder 2012 (KMAP-DD 2012) with other recently published treatment guidelines for depressive disorder. We reviewed a total of five recently published global treatment guidelines and compared each treatment recommendation of the KMAP-DD 2012 with those in other guidelines. For initial treatment recommendations, there were no significant major differences across guidelines. However, in the case of nonresponse or incomplete response to initial treatment, the second recommended treatment step varied across guidelines. For maintenance therapy, medication dose and duration differed among treatment guidelines. Further, there were several discrepancies in the recommendations for each subtype of depressive disorder across guidelines. For treatment in special populations, there were no significant differences in overall recommendations. This comparison identifies that, by and large, the treatment recommendations of the KMAP-DD 2012 are similar to those of other treatment guidelines and reflect current changes in prescription pattern for depression based on accumulated research data. Further studies will be needed to address several issues identified in our review. PMID:24605117

Pairwise Measures of Causal Direction in the Epidemiology of Sleep Problems and Depression

PubMed Central

Rosenström, Tom; Jokela, Markus; Puttonen, Sampsa; Hintsanen, Mirka; Pulkki-Råback, Laura; Viikari, Jorma S.; Raitakari, Olli T.; Keltikangas-Järvinen, Liisa

2012-01-01

Depressive mood is often preceded by sleep problems, suggesting that they increase the risk of depression. Sleep problems can also reflect prodromal symptom of depression, thus temporal precedence alone is insufficient to confirm causality. The authors applied recently introduced statistical causal-discovery algorithms that can estimate causality from cross-sectional samples in order to infer the direction of causality between the two sets of symptoms from a novel perspective. Two common-population samples were used; one from the Young Finns study (690 men and 997 women, average age 37.7 years, range 30–45), and another from the Wisconsin Longitudinal study (3101 men and 3539 women, average age 53.1 years, range 52–55). These included three depression questionnaires (two in Young Finns data) and two sleep problem questionnaires. Three different causality estimates were constructed for each data set, tested in a benchmark data with a (practically) known causality, and tested for assumption violations using simulated data. Causality algorithms performed well in the benchmark data and simulations, and a prediction was drawn for future empirical studies to confirm: for minor depression/dysphoria, sleep problems cause significantly more dysphoria than dysphoria causes sleep problems. The situation may change as depression becomes more severe, or more severe levels of symptoms are evaluated; also, artefacts due to severe depression being less well presented in the population data than minor depression may intervene the estimation for depression scales that emphasize severe symptoms. The findings are consistent with other emerging epidemiological and biological evidence. PMID:23226400

A Novel, Open Access Method to Assess Sleep Duration Using a Wrist-Worn Accelerometer

PubMed Central

Anderson, Kirstie N.; Denton, Sarah J.; Oliver, James; Catt, Michael; Abell, Jessica G.; Kivimäki, Mika; Trenell, Michael I.; Singh-Manoux, Archana

2015-01-01

Wrist-worn accelerometers are increasingly being used for the assessment of physical activity in population studies, but little is known about their value for sleep assessment. We developed a novel method of assessing sleep duration using data from 4,094 Whitehall II Study (United Kingdom, 2012–2013) participants aged 60–83 who wore the accelerometer for 9 consecutive days, filled in a sleep log and reported sleep duration via questionnaire. Our sleep detection algorithm defined (nocturnal) sleep as a period of sustained inactivity, itself detected as the absence of change in arm angle greater than 5 degrees for 5 minutes or more, during a period recorded as sleep by the participant in their sleep log. The resulting estimate of sleep duration had a moderate (but similar to previous findings) agreement with questionnaire based measures for time in bed, defined as the difference between sleep onset and waking time (kappa = 0.32, 95%CI:0.29,0.34) and total sleep duration (kappa = 0.39, 0.36,0.42). This estimate was lower for time in bed for women, depressed participants, those reporting more insomnia symptoms, and on weekend days. No such group differences were found for total sleep duration. Our algorithm was validated against data from a polysomnography study on 28 persons which found a longer time window and lower angle threshold to have better sensitivity to wakefulness, while the reverse was true for sensitivity to sleep. The novelty of our method is the use of a generic algorithm that will allow comparison between studies rather than a “count” based, device specific method. PMID:26569414

A fast algorithm for multiscale electromagnetic problems using interpolative decomposition and multilevel fast multipole algorithm

NASA Astrophysics Data System (ADS)

Pan, Xiao-Min; Wei, Jian-Gong; Peng, Zhen; Sheng, Xin-Qing

2012-02-01

The interpolative decomposition (ID) is combined with the multilevel fast multipole algorithm (MLFMA), denoted by ID-MLFMA, to handle multiscale problems. The ID-MLFMA first generates ID levels by recursively dividing the boxes at the finest MLFMA level into smaller boxes. It is specifically shown that near-field interactions with respect to the MLFMA, in the form of the matrix vector multiplication (MVM), are efficiently approximated at the ID levels. Meanwhile, computations on far-field interactions at the MLFMA levels remain unchanged. Only a small portion of matrix entries are required to approximate coupling among well-separated boxes at the ID levels, and these submatrices can be filled without computing the complete original coupling matrix. It follows that the matrix filling in the ID-MLFMA becomes much less expensive. The memory consumed is thus greatly reduced and the MVM is accelerated as well. Several factors that may influence the accuracy, efficiency and reliability of the proposed ID-MLFMA are investigated by numerical experiments. Complex targets are calculated to demonstrate the capability of the ID-MLFMA algorithm.

Identification of Patients with Statin Intolerance in a Managed Care Plan: A Comparison of 2 Claims-Based Algorithms.

PubMed

Bellows, Brandon K; Sainski-Nguyen, Amy M; Olsen, Cody J; Boklage, Susan H; Charland, Scott; Mitchell, Matthew P; Brixner, Diana I

2017-09-01

While statins are safe and efficacious, some patients may experience statin intolerance or treatment-limiting adverse events. Identifying patients with statin intolerance may allow optimal management of cardiovascular event risk through other strategies. Recently, an administrative claims data (ACD) algorithm was developed to identify patients with statin intolerance and validated against electronic medical records. However, how this algorithm compared with perceptions of statin intolerance by integrated delivery networks remains largely unknown. To determine the concurrent validity of an algorithm developed by a regional integrated delivery network multidisciplinary panel (MP) and a published ACD algorithm in identifying patients with statin intolerance. The MP consisted of 3 physicians and 2 pharmacists with expertise in cardiology, internal medicine, and formulary management. The MP algorithm used pharmacy and medical claims to identify patients with statin intolerance, classifying them as having statin intolerance if they met any of the following criteria: (a) medical claim for rhabdomyolysis, (b) medical claim for muscle weakness, (c) an outpatient medical claim for creatinine kinase assay, (d) fills for ≥ 2 different statins excluding dose increases, (e) decrease in statin dose, or (f) discontinuation of a statin with a subsequent fill for a nonstatin lipid-lowering therapy. The validated ACD algorithm identified statin intolerance as absolute intolerance with rhabdomyolysis; absolute intolerance without rhabdomyolysis (i.e., other adverse events); or as dose titration intolerance. Adult patients (aged ≥ 18 years) from the integrated delivery network with at least 1 prescription fill for a statin between January 1, 2011, and December 31, 2012 (first fill defined the index date) were identified. Patients with ≥ 1 year pre- and ≥ 2 years post-index continuous enrollment and no statin prescription fills in the pre-index period were included. The MP and ACD algorithms were applied to the population, and concordance was examined using individual (i.e., sensitivity, specificity, positive predictive value [PPV], and negative predictive value [NPV]) and overall performance measures (i.e., accuracy, Cohen's kappa coefficient, balanced accuracy, F-1 score, and phi coefficient). After applying the inclusion criteria, 7,490 patients were evaluated for statin intolerance. The mean (SD) age of the population was 51.1 (8.5) years, and 55.7% were male. The MP and ACD algorithms classified 11.3% and 5.4% of patients as having statin intolerance, respectively. The concordance of the MP algorithm was mixed, with negative classification of statin intolerance measures having high concordance (specificity 0.91, NPV 0.97) and positive classification of statin intolerance measures having poor concordance (sensitivity 0.45, PPV 0.21). Overall performance measures showed mixed agreement between the algorithms. Both algorithms used a mix of pharmacy and medical claims and may be useful for organizations interested in identifying patients with statin intolerance. By identifying patients with statin intolerance, organizations may consider a variety of options, including using nonstatin lipid-lowering therapies, to manage cardiovascular event risk in these patients. This study was funded by Regeneron Pharmaceuticals and Sanofi US. Boklage is employed by, and owns stock in, Regeneron, and Charland is employed by Sanofi. Bellows has received fees from Avenir for advisory board membership and grants from Myriad Genetics, Biogen, Janssen, and National Institutes of Health. Brixner reports advisory board and consultancy fees and grants from Sanofi. Mitchell reports consultancy fees from Sanofi. Study concept and design were contributed by Bellows, Boklage, Charland, and Brixner. Bellows, Sainski-Nguyen, and Olsen took the lead in data collection, along with Mitchell. Data interpretation was performed by Mitchell, along with the other authors. The manuscript was written by Bellows, Sainski-Nguyen, and Olsen and revised by all the authors.

Information technology-enabled team-based, patient-centered care: The example of depression screening and management in cancer care.

PubMed

Randhawa, Gurvaneet S; Ahern, David K; Hesse, Bradford W

2017-03-01

The existing healthcare delivery systems across the world need to be redesigned to ensure high-quality care is delivered to all patients. This redesign needs to ensure care is knowledge-based, patient-centered and systems-minded. The rapid advances in the capabilities of information and communication technology and its recent rapid adoption in healthcare delivery have ensured this technology will play a vital role in the redesign of the healthcare delivery system. This commentary highlights promising new developments in health information technology (IT) that can support patient engagement and self-management as well as team-based, patient-centered care. Collaborative care is an effective approach to screen and treat depression in cancer patients and it is a good example of the benefits of team-based and patient-centered care. However, this approach was developed prior to the widespread adoption and use of health IT. We provide examples to illustrate how health IT can improve prevention and treatment of depression in cancer patients. We found several knowledge gaps that limit our ability to realize the full potential of health IT in the context of cancer and comorbid depression care. These gaps need to be filled to improve patient engagement; enhance the reach and effectiveness of collaborative care and web-based programs to prevent and treat depression in cancer patients. We also identify knowledge gaps in health IT design and implementation. Filling these gaps will help shape policies that enable clinical teams to deliver high-quality cancer care globally.

A Simulation of Alternatives for Wholesale Inventory Replenishment

DTIC Science & Technology

2016-03-01

algorithmic details. The last method is a mixed-integer, linear optimization model. Comparative Inventory Simulation, a discrete event simulation model, is...simulation; event graphs; reorder point; fill-rate; backorder; discrete event simulation; wholesale inventory optimization model 15. NUMBER OF PAGES...model. Comparative Inventory Simulation, a discrete event simulation model, is designed to find fill rates achieved for each National Item

Korean Medication Algorithm for Depressive Disorder: Comparisons with Other Treatment Guidelines

PubMed Central

Wang, Hee Ryung; Bahk, Won-Myong; Seo, Jeong Seok; Woo, Young Sup; Park, Young-Min; Jeong, Jong-Hyun; Kim, Won; Shim, Se-Hoon; Lee, Jung Goo; Jon, Duk-In; Min, Kyung Joon

2017-01-01

In this review, we compared recommendations from the Korean Medication Algorithm Project for Depressive Disorder 2017 (KMAP-DD 2017) to other global treatment guidelines for depression. Six global treatment guidelines were reviewed; among the six, 4 were evidence-based guidelines, 1 was an expert consensus-based guideline, and 1 was an amalgamation of both evidence and expert consensus-based recommendations. The recommendations in the KMAP-DD 2017 were generally similar to those in other global treatment guidelines, although there were some differences between the guidelines. The KMAP-DD 2017 appeared to reflect current changes in the psychopharmacology of depression quite well, like other recently published evidence-based guidelines. As an expert consensus-based guideline, the KMAP-DD 2017 had some limitations. However, considering there are situations in which clinical evidence cannot be drawn from planned clinical trials, the KMAP-DD 2017 may be helpful for Korean psychiatrists making decisions in the clinical settings by complementing previously published evidence-based guidelines. PMID:28783928

Application of the PROMETHEE technique to determine depression outlet location and flow direction in DEM

NASA Astrophysics Data System (ADS)

Chou, Tien-Yin; Lin, Wen-Tzu; Lin, Chao-Yuan; Chou, Wen-Chieh; Huang, Pi-Hui

2004-02-01

With the fast growing progress of computer technologies, spatial information on watersheds such as flow direction, watershed boundaries and the drainage network can be automatically calculated or extracted from a digital elevation model (DEM). The stubborn problem that depressions exist in DEMs has been frequently encountered while extracting the spatial information of terrain. Several filling-up methods have been proposed for solving depressions. However, their suitability for large-scale flat areas is inadequate. This study proposes a depression watershed method coupled with the Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEEs) theory to determine the optimal outlet and calculate the flow direction in depressions. Three processing procedures are used to derive the depressionless flow direction: (1) calculating the incipient flow direction; (2) establishing the depression watershed by tracing the upstream drainage area and determining the depression outlet using PROMETHEE theory; (3) calculating the depressionless flow direction. The developed method was used to delineate the Shihmen Reservoir watershed located in Northern Taiwan. The results show that the depression watershed method can effectively solve the shortcomings such as depression outlet differentiating and looped flow direction between depressions. The suitability of the proposed approach was verified.

Transcranial magnetic stimulation for the treatment of major depression

PubMed Central

Janicak, Philip G; Dokucu, Mehmet E

2015-01-01

Major depression is often difficult to diagnose accurately. Even when the diagnosis is properly made, standard treatment approaches (eg, psychotherapy, medications, or their combination) are often inadequate to control acute symptoms or maintain initial benefit. Additional obstacles involve safety and tolerability problems, which frequently preclude an adequate course of treatment. This leaves an important gap in our ability to properly manage major depression in a substantial proportion of patients, leaving them vulnerable to ensuing complications (eg, employment-related disability, increased risk of suicide, comorbid medical disorders, and substance abuse). Thus, there is a need for more effective and better tolerated approaches. Transcranial magnetic stimulation is a neuromodulation technique increasingly used to partly fill this therapeutic void. In the context of treating depression, we critically review the development of transcranial magnetic stimulation, focusing on the results of controlled and pragmatic trials for depression, which consider its efficacy, safety, and tolerability. PMID:26170668

[Main types of depression with the prevalence of overvalued ideas within the pubertal decompensation of personality disorders].

PubMed

Krylova, E S; Beburishvili, A A

2009-01-01

Authors observed 96 patients (81 males and 15 females) with overvalued depressions within the pubertal decompensation of personality disorders. Past medical history and prospective observation showed that those conditions develop over the long period of distimia and pose a high risk of suicide. Such conditions differ mildly in content - metaphysical, dysmorphophobical or hypohondriacal, but far more significantly in a parity of structural components of overvalued symptoms, which consist of an ideational cultivation, an affective filling and a component of inclination. According to prevalence of one of the components three main types of such depressions were described: classical, obsessive and type of overvalued inclination. There was established a correlation between type of depression and patient's personality structure and it influenced on the clinical course of depression, the choice of therapy and on prognosis on personality disorders compensation probability in adulthood.

Machine learning algorithm accurately detects fMRI signature of vulnerability to major depression.

PubMed

Sato, João R; Moll, Jorge; Green, Sophie; Deakin, John F W; Thomaz, Carlos E; Zahn, Roland

2015-08-30

Standard functional magnetic resonance imaging (fMRI) analyses cannot assess the potential of a neuroimaging signature as a biomarker to predict individual vulnerability to major depression (MD). Here, we use machine learning for the first time to address this question. Using a recently identified neural signature of guilt-selective functional disconnection, the classification algorithm was able to distinguish remitted MD from control participants with 78.3% accuracy. This demonstrates the high potential of our fMRI signature as a biomarker of MD vulnerability. Crown Copyright © 2015. Published by Elsevier Ireland Ltd. All rights reserved.

Capital Engineers: The U.S. Army Corps of Engineers in the Development of Washington, D.C. 1790-2004

DTIC Science & Technology

2011-01-01

them from the cattle pen they had been during the Civil War into a beautiful park. Natural depressions were replaced by ornamental ponds and a fish...hatchery called Babcock Lake. Drained, graded, its depressions filled, planted with trees, and surrounded by a broad carriage drive, the area...care. These collections crowded the institution’s Mall building, and, when a flood of donations of objects arrived in the wake of the 1876 Centennial

Randomised controlled trial of the clinical and cost effectiveness of a specialist team for managing refractory unipolar depressive disorder.

PubMed

Morriss, Richard; Marttunnen, Sarah; Garland, Anne; Nixon, Neil; McDonald, Ruth; Sweeney, Tim; Flambert, Heather; Fox, Richard; Kaylor-Hughes, Catherine; James, Marilyn; Yang, Min

2010-11-29

Around 40 per cent of patients with unipolar depressive disorder who are treated in secondary care mental health services do not respond to first or second line treatments for depression. Such patients have 20 times the suicide rate of the general population and treatment response becomes harder to achieve and sustain the longer they remain depressed. Despite this there are no randomised controlled trials of community based service delivery interventions delivering both algorithm based pharmacotherapy and psychotherapy for patients with chronic depressive disorder in secondary care mental health services who remain moderately or severely depressed after six months treatment. Without such trials evidence based guidelines on services for such patients cannot be derived. Single blind individually randomised controlled trial of a specialist depression disorder team (psychiatrist and psychotherapist jointly assessing and providing algorithm based drug and psychological treatment) versus usual secondary care treatment. We will recruit 174 patients with unipolar depressive disorder in secondary mental health services with a Hamilton Depression Rating Scale (HDRS) score ≥ 16 and global assessment of function (GAF) ≤ 60 after ≥ 6 months treatment. The primary outcome measures will be the HDRS and GAF supplemented by economic analysis including the EQ5 D and analysis of barriers to care, implementation and the process of care. Audits to benchmark both treatment arms against national standards of care will aid the interpretation of the results of the study. This trial will be the first to assess the effectiveness and implementation of a community based specialist depression disorder team. The study has been specially designed as part of the CLAHRC Nottinghamshire, Derbyshire and Lincolnshire joint collaboration between university, health and social care organisations to provide information of direct relevance to decisions on commissioning, service provision and implementation.

The Korean Medication Algorithm for Depressive Disorder: second revision.

PubMed

Seok Seo, Jeong; Rim Song, Hoo; Bin Lee, Hwang; Park, Young-Min; Hong, Jeong-Wan; Kim, Won; Wang, Hee-Ryung; Lim, Eun-Sung; Jeong, Jong-Hyun; Jon, Duk-In; Joon Min, Kyung; Sup Woo, Young; Bahk, Won-Myong

2014-01-01

This study constitutes a revision of the guidelines for the treatment of major depressive disorder (MDD) issued by the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) 2006. In incorporates changes in the experts׳ consensus that occurred between 2006 and 2012 as well as information regarding newly developed and recently published clinical trials. Using a 44-item questionnaire, an expert consensus was obtained on pharmacological treatment strategies for (1) non-psychotic MDD, (2) psychotic MDD, (3) dysthymia and depression subtypes, (4) continuous and maintenance treatment, and (5) special populations; consensus was also obtained regarding (6) the choice of an antidepressant (AD) in the context of safety and adverse effects, and (7) non-pharmacological biological therapies. AD monotherapy was recommended as the first-line strategy for nonpsychotic depression in adults, children and adolescents, elderly adults, and patients with postpartum depression or premenstrual dysphoric disorder. The combination of AD and atypical antipsychotics (AAP) was recommended for psychotic depression. The duration of the initial AD treatment for psychotic depression depends on the number of depressive episodes. Most experts recommended stopping the initial AD and AAP therapy after a certain period in patients with one or two depressive episodes. However, for those with three or more episodes, maintenance of the initial treatment was recommended for as long as possible. Monotherapy with various selective serotonin reuptake inhibitors (SSRIs) and serotonin and norepinephrine reuptake inhibitors (SNRIs) was recommended for dysthymic disorder and melancholic type MDD. The pharmacological treatment strategy of KMAP-DD 2012 is similar to that of KMAP-DD 2006; however, the preference for the first-line use of AAPs was stronger in 2012 than in 2006. Copyright © 2014 Elsevier B.V. All rights reserved.

Association among depressive disorder, adjustment disorder, sleep disturbance, and suicidal ideation in Taiwanese adolescent.

PubMed

Chung, Ming-Shun; Chiu, Hsien-Jane; Sun, Wen-Jung; Lin, Chieh-Nan; Kuo, Chien-Cheng; Huang, Wei-Che; Chen, Ying-Sheue; Cheng, Hui-Ping; Chou, Pesus

2014-09-01

The aim of this study is to investigate the association among depressive disorder, adjustment disorder, sleep disturbance, and suicidal ideation in Taiwanese adolescent. We recruited 607 students (grades 5-9) to fill out the investigation of basic data and sleep disturbance. Psychiatrists then used the Mini International Neuropsychiatric Interview-Kid to interview these students to assess their suicidal ideation and psychiatric diagnosis. Multiple logistic regression with forward conditionals was used to find the risk factors for multivariate analysis. Female, age, depressive disorder, adjustment disorder, and poor sleep all contributed to adolescent suicidal ideation in univariate analysis. However, poor sleep became non-significant under the control of depressive disorder and adjustment disorder. We found that both depressive disorder and adjustment disorder play important roles in sleep and adolescent suicidal ideation. After controlling both depressive disorder and adjustment disorder, sleep disturbance was no longer a risk of adolescent suicidal ideation. We also confirm the indirect influence of sleep on suicidal ideation in adolescent. © 2013 Wiley Publishing Asia Pty Ltd.

A nurse-facilitated depression screening program in an Army primary care clinic: an evidence-based project.

PubMed

Yackel, Edward E; McKennan, Madelyn S; Fox-Deise, Adrianna

2010-01-01

Depression, sometimes with suicidal manifestations, is a medical condition commonly seen in primary care clinics. Routine screening for depression and suicidal ideation is recommended of all adult patients in the primary care setting because it offers depressed patients a greater chance of recovery and response to treatment, yet such screening often is overlooked or omitted. The purpose of this study was to develop, to implement, and to test the efficacy of a systematic depression screening process to increase the identification of depression in family members of active duty soldiers older than 18 years at a military family practice clinic located on an Army infantry post in the Pacific. The Iowa Model of Evidence-Based Practice to Promote Quality Care was used to develop a practice guideline incorporating a decision algorithm for nurses to screen for depression. A pilot project to institute this change in practice was conducted, and outcomes were measured. Before implementation, approximately 100 patients were diagnosed with depression in each of the 3 months preceding the practice change. Approximately 130 patients a month were assigned a 311.0 Code 3 months after the practice change, and 140 patients per month received screenings and were assigned the correct International Classification of Diseases, Ninth Revision Code 311.0 at 1 year. The improved screening and coding for depression and suicidality added approximately 3 minutes to the patient screening process. The education of staff in the process of screening for depression and correct coding coupled with monitoring and staff feedback improved compliance with the identification and the documentation of patients with depression. Nurses were more likely than primary care providers to agree strongly that screening for depression enhances quality of care. Data gathered during this project support the integration of military and civilian nurse-facilitated screening for depression in the military primary care setting. The decision algorithm should be adapted and tested in other primary care environments.

The effect of social networking sites on the relationship between perceived social support and depression.

PubMed

McDougall, Matthew A; Walsh, Michael; Wattier, Kristina; Knigge, Ryan; Miller, Lindsey; Stevermer, Michalene; Fogas, Bruce S

2016-12-30

This study examined whether Social Networking Sites (SNSs) have a negative moderator effect on the established relationship between perceived social support and depression in psychiatric inpatients. Survey instruments assessing for depression, perceived social support, and SNS use, were filled out by 301 psychiatric inpatients. Additional data on age, gender, and primary psychiatric diagnosis were collected. A step-wise multiple regression analysis was performed to determine significant interactions. There was no significant interaction of SNS use on the relationship between perceived social support and depression when measured by Social Media Use Integration Scale or by hours of SNS use per day. There was a significant negative relationship between perceived social support and depression, and a significant positive relationship between hours of SNS use per day and depression, measured by the Beck Depression Inventory-II. Limitations include a gender discrepancy among participants, generalizability, recall bias, and SNS measurement. This is the first study to look at SNS use and depression in psychiatric inpatients. SNS use did not affect perceived social support or the protective relationship between perceived social support and depression. Hours of SNS use per day were correlated with depression scores. Future studies between SNS use and depression should quantify daily SNS use. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

A novel algorithm for delineating wetland depressions and mapping surface hydrologic flow pathways using LiDAR data

EPA Science Inventory

In traditional watershed delineation and topographic modeling, surface depressions are generally treated as spurious features and simply removed from a digital elevation model (DEM) to enforce flow continuity of water across the topographic surface to the watershed outlets. In re...

Threshold automatic selection hybrid phase unwrapping algorithm for digital holographic microscopy

NASA Astrophysics Data System (ADS)

Zhou, Meiling; Min, Junwei; Yao, Baoli; Yu, Xianghua; Lei, Ming; Yan, Shaohui; Yang, Yanlong; Dan, Dan

2015-01-01

Conventional quality-guided (QG) phase unwrapping algorithm is hard to be applied to digital holographic microscopy because of the long execution time. In this paper, we present a threshold automatic selection hybrid phase unwrapping algorithm that combines the existing QG algorithm and the flood-filled (FF) algorithm to solve this problem. The original wrapped phase map is divided into high- and low-quality sub-maps by selecting a threshold automatically, and then the FF and QG unwrapping algorithms are used in each level to unwrap the phase, respectively. The feasibility of the proposed method is proved by experimental results, and the execution speed is shown to be much faster than that of the original QG unwrapping algorithm.

An Object-Oriented Collection of Minimum Degree Algorithms: Design, Implementation, and Experiences

NASA Technical Reports Server (NTRS)

Kumfert, Gary; Pothen, Alex

1999-01-01

The multiple minimum degree (MMD) algorithm and its variants have enjoyed 20+ years of research and progress in generating fill-reducing orderings for sparse, symmetric positive definite matrices. Although conceptually simple, efficient implementations of these algorithms are deceptively complex and highly specialized. In this case study, we present an object-oriented library that implements several recent minimum degree-like algorithms. We discuss how object-oriented design forces us to decompose these algorithms in a different manner than earlier codes and demonstrate how this impacts the flexibility and efficiency of our C++ implementation. We compare the performance of our code against other implementations in C or Fortran.

A standardized stepwise drug treatment algorithm for depression reduces direct treatment costs in depressed inpatients - Results from the German Algorithm Project (GAP3).

PubMed

Ricken, Roland; Wiethoff, Katja; Reinhold, Thomas; Stamm, Thomas J; Baghai, Thomas C; Fisher, Robert; Seemüller, Florian; Brieger, Peter; Cordes, Joachim; Laux, Gerd; Hauth, Iris; Möller, Hans-Jürgen; Heinz, Andreas; Bauer, Michael; Adli, Mazda

2018-03-01

In a previous single center study we found that a standardized drug treatment algorithm (ALGO) was more cost effective than treatment as usual (TAU) for inpatients with major depression. This report aimed to determine whether this promising initial finding could be replicated in a multicenter study. Treatment costs were calculated for two time periods: the study period (from enrolment to exit from study) and time in hospital (from enrolment to hospital discharge) based on daily hospital charges. Cost per remitted patient during the study period was considered as primary outcome. 266 patients received ALGO and 84 received TAU. For the study period, ALGO costs were significantly lower than TAU (ALGO: 7 848 ± 6 065 €; TAU: 10 033 ± 7 696 €; p = 0.04). For time in hospital, costs were not different (ALGO: 14 734 ± 8 329 €; TAU: 14 244 ± 8 419 €; p = 0.617). Remission rates did not differ for the study period (ALGO: 57.9%, TAU: 50.0%; p=0.201). Remission rates were greater in ALGO (83.3%) than TAU (66.2%) for time in hospital (p = 0.002). Cost per remission was lower in ALGO (13 554 ± 10 476 €) than TAU (20 066 ± 15 391 €) for the study period (p < 0.001) and for time in hospital (ALGO: 17 582 ± 9 939 €; TAU: 21 516 ± 12 718 €; p = 0.036). Indirect costs were not assessed. Different dropout rates in TAU and ALGO complicated interpretation. Treatment algorithms enhance the cost effectiveness of the care of depressed inpatients, which replicates our prior results in an independent sample. Copyright © 2017. Published by Elsevier B.V.

The International College of Neuro-Psychopharmacology (CINP) Treatment Guidelines for Bipolar Disorder in Adults (CINP-BD-2017), Part 2: Review, Grading of the Evidence, and a Precise Algorithm

PubMed Central

Yatham, Lakshmi; Grunze, Heinz; Vieta, Eduard; Young, Allan; Blier, Pierre; Kasper, Siegfried; Moeller, Hans Jurgen

2017-01-01

Abstract Background: The current paper includes a systematic search of the literature, a detailed presentation of the results, and a grading of treatment options in terms of efficacy and tolerability/safety. Material and Methods: The PRISMA method was used in the literature search with the combination of the words ‘bipolar,’ ‘manic,’ ‘mania,’ ‘manic depression,’ and ‘manic depressive’ with ‘randomized,’ and ‘algorithms’ with ‘mania,’ ‘manic,’ ‘bipolar,’ ‘manic-depressive,’ or ‘manic depression.’ Relevant web pages and review articles were also reviewed. Results: The current report is based on the analysis of 57 guideline papers and 531 published papers related to RCTs, reviews, posthoc, or meta-analysis papers to March 25, 2016. The specific treatment options for acute mania, mixed episodes, acute bipolar depression, maintenance phase, psychotic and mixed features, anxiety, and rapid cycling were evaluated with regards to efficacy. Existing treatment guidelines were also reviewed. Finally, Tables reflecting efficacy and recommendation levels were created that led to the development of a precise algorithm that still has to prove its feasibility in everyday clinical practice. Conclusions: A systematic literature search was conducted on the pharmacological treatment of bipolar disorder to identify all relevant random controlled trials pertaining to all aspects of bipolar disorder and graded the data according to a predetermined method to develop a precise treatment algorithm for management of various phases of bipolar disorder. It is important to note that the some of the recommendations in the treatment algorithm were based on the secondary outcome data from posthoc analyses. PMID:27816941

RELATIONSHIP BETWEEN SLEEP DISTURBANCE AND DEPRESSION, ANXIETY, AND FUNCTIONING IN COLLEGE STUDENTS

PubMed Central

Nyer, Maren; Farabaugh, Amy; Fehling, Kiki; Soskin, David; Holt, Daphne; Papakostas, George I.; Pedrelli, Paola; Fava, Maurizio; Pisoni, Angela; Vitolo, Ottavio; Mischoulon, David

2013-01-01

Background Sleep disturbance (SD) has complex associations with depression, both preceding and following the onset and recurrence of depression. We hypothesized that students with depressive symptoms with SD would demonstrate a greater burden of comorbid psychiatric symptoms and functional impairment compared to students with depressive symptoms without SD. Methods During a mental health screening, 287 undergraduate students endorsed symptoms of depression (Beck Depression Inventory [BDI] ≥ 13) and filled out the following self-report measures: demographic questionnaire, BDI, Anxiety Symptom Questionnaire—intensity and frequency (ASQ), Beck Hopelessness Scale (BHS), Beck Anxiety Inventory (BAI), Quality of Life Enjoyment and Satisfaction Questionnaire (QLESQ), and the Massachusetts General Hospital Cognitive and Physical Functioning Questionnaire (CPFQ). SD was measured using the BDI sleep item #16 dichotomized (score 0: no SD; or score > 0: some SD). Results Students with depressive symptoms and SD (n = 220), compared to those without SD (n = 67), endorsed significantly more intense and frequent anxiety and poorer cognitive and physical functioning. Students with depressive symptoms with and without SD did not significantly differ in depressive severity, hopelessness, or quality of life. Conclusions College students with depressive symptoms with SD may experience a greater burden of comorbid anxiety symptoms and hyperarousal, and may have impairments in functioning, compared to students with depressive symptoms without SD. These findings require replication. Depression and Anxiety 00:1–8, 2013. PMID:23681944

Distributed Multi-Cell Resource Allocation with Price Based ICI Coordination in Downlink OFDMA Networks

NASA Astrophysics Data System (ADS)

Lv, Gangming; Zhu, Shihua; Hui, Hui

Multi-cell resource allocation under minimum rate request for each user in OFDMA networks is addressed in this paper. Based on Lagrange dual decomposition theory, the joint multi-cell resource allocation problem is decomposed and modeled as a limited-cooperative game, and a distributed multi-cell resource allocation algorithm is thus proposed. Analysis and simulation results show that, compared with non-cooperative iterative water-filling algorithm, the proposed algorithm can remarkably reduce the ICI level and improve overall system performances.

Depressive symptoms and incidence of mild cognitive impairment and probable dementia in elderly women: the Women's Health Initiative Memory Study.

PubMed

Goveas, Joseph S; Espeland, Mark A; Woods, Nancy F; Wassertheil-Smoller, Sylvia; Kotchen, Jane M

2011-01-01

To examine whether significant depressive symptoms in postmenopausal women increases the risk of subsequent mild cognitive impairment (MCI) and dementia. Prospective cohort study. Thirty nine of the 40 Women's Health Initiative (WHI) clinical centers that participated in a randomized clinical trial of hormone therapy. Six thousand three hundred seventy-six postmenopausal women without cognitive impairment aged 65 to 79 at baseline. Depressive disorders were assessed using an eight-item Burnam algorithm and followed annually for a mean period of 5.4 years. A central adjudication committee classified the presence of MCI and probable dementia based on an extensive neuropsychiatric examination. Eight percent of postmenopausal women in this sample reported depressive symptoms above a 0.06 cut point on the Burnam algorithm. Depressive disorder at baseline was associated with greater risk of incident MCI (hazard ratio (HR)=1.98, 95% confidence interval (CI)=1.33-2.94), probable dementia (HR=2.03, 95% CI=1.15-3.60), and MCI or probable dementia (HR=1.92, 95% CI=1.35-2.73) after controlling for sociodemographic characteristics, lifestyle and vascular risk factors, cardiovascular and cerebrovascular disease, antidepressant use, and current and past hormone therapy status. Assignment to hormone therapy and baseline cognitive function did not affect these relationships. Women without depression who endorsed a remote history of depression had a higher risk of developing dementia. Clinically significant depressive symptoms in women aged 65 and older are independently associated with greater incidence of MCI and probable dementia. © 2011, Copyright the Authors. Journal compilation © 2011, The American Geriatrics Society.

Depression and Rural Environment are Associated With Poor Oral Health Among Pregnant Women in Northern Appalachia.

PubMed

McNeil, Daniel W; Hayes, Sarah E; Randall, Cameron L; Polk, Deborah E; Neiswanger, Kathy; Shaffer, John R; Weyant, Robert J; Foxman, Betsy; Kao, Elizabeth; Crout, Richard J; Chapman, Stella; Brown, Linda J; Maurer, Jennifer L; Marazita, Mary L

2016-01-01

Both oral health problems and depression among pregnant women contribute to maternal-infant health outcomes. Little is known, however, about the potential effects of clinically significant depression on the oral health status of pregnant women. The purpose of the present study was to determine the influence of clinically significant depression and rural- or urban-dwelling status on oral health outcomes among pregnant women. Pregnant women (N = 685) in rural (i.e., West Virginia) and urban (i.e., Pittsburgh, PA) areas of northern Appalachia were assessed by calibrated examiners regarding gingivitis, oral hygiene, and DMFT (decayed, missing, and filled teeth), completed the Center for Epidemiologic Studies-Depression Scale (CES-D) and provided demographics. Participants were categorized based on clinically significant depressive symptoms (CES-D ≥ 16) and rural/urban domicile. Women with depression and those living in rural areas had worse oral health on all three indices than their non-depressed and urban counterparts. Depression, particularly among women in rural areas, affects certain oral health indices and represents a modifiable target for intervention. Moreover, treatments designed specifically for rural populations may be of particular utility. Women who are pregnant or planning to become pregnant may benefit from regular depression screenings from their dental and medical health care providers. © The Author(s) 2015.

Diagnostic accuracy of the Patient Health Questionnaire-9 for assessment of depression in type II diabetes mellitus and/or coronary heart disease in primary care.

PubMed

van der Zwaan, G Lennart; van Dijk, Susan E M; Adriaanse, Marcel C; van Marwijk, Harm W J; van Tulder, Maurits W; Pols, Alide D; Bosmans, Judith E

2016-01-15

Depression is common among type 2 diabetes mellitus (DM2)/coronary heart disease (CHD) patients and is associated with adverse health effects. A promising strategy to reduce burden of disease is to identify patients at risk for depression in order to offer indicated prevention. This study aims to assess the diagnostic accuracy of the Patient Health Questionnaire-9 (PHQ-9) to be used as a tool to identify high risk patients. In this cross-sectional study, 586 consecutive DM2/CHD patients aged >18 were recruited through 23 general practices. PHQ-9 outcomes were compared to the Mini International Neuropsychiatric Interview (MINI), which was considered the reference standard. Diagnostic accuracy was evaluated for minor and major depression, comparing both sum- and algorithm based PHQ-9 scores. For minor depression, the optimal cut-off score was 8 (sensitivity 71%, specificity 71% and an AUC of 0.74). For major depression, the optimal cut-off score was 10 resulting in a sensitivity of 84%, a specificity of 82%, and an AUC of 0.88. The positive predictive value of the PHQ-9 algorithm for diagnosing minor and major depression was 25% and 33%, respectively. Two main limitations apply. MINI Interviewers were not blinded for PHQ-9 scores and less than 10% of all invited patients could be included in the analyses. This could have resulted in biased outcomes. The PHQ-9 sum score performs well in identifying patients at high risk of minor and major depression. However, the PHQ-9 showed suboptimal results for diagnostic purposes. Therefore, it is recommended to combine the use of the PHQ-9 with further diagnostics to identify depression. Copyright © 2015 Elsevier B.V. All rights reserved.

ANTIDEPRESSANT ADHERENCE ACROSS DIVERSE POPULATIONS AND HEALTHCARE SETTINGS.

PubMed

Rossom, Rebecca C; Shortreed, Susan; Coleman, Karen J; Beck, Arne; Waitzfelder, Beth E; Stewart, Christine; Ahmedani, Brian K; Zeber, John E; Simon, Greg E

2016-08-01

Early adherence is key to successful depression treatment, but nearly 60% of patients discontinue antidepressants within 3 months. Our study aimed to determine factors associated with poor early adherence to antidepressants in a large diverse sample of patients. Six Mental Health Research Network healthcare systems contributed data for adults with depression and a new antidepressant start, defined by a washout period of at least 270 days, between January 1, 2010 and December 31, 2012. Pharmacy fill and self-reported race/ethnicity data were obtained from the electronic medical record. Patients had early adherence if they had a second antidepressant fill within 180 days of the first. We used logistic regression to investigate the relationship between early adherence and patient characteristics. A total of 177,469 adult patients had 184,967 new episodes of depression with a filled antidepressant prescription. Patients refilled their antidepressants within 180 days in 71% of episodes. Race/ethnicity was a strong predictor of early adherence, with patients from racial/ethnic minorities other than Native Americans/Alaskan Natives less likely (adjusted odd ratios 0.50-0.59) to refill their antidepressants than non-Hispanic whites. Age, neighborhood education, comorbidity burden, provider type and engagement in psychotherapy were also associated with adherence. Other apparent predictors of early adherence, including neighborhood income, gender, and prior mental health hospitalizations, were no longer significant in the fully adjusted model. Race/ethnicity was a robust predictor of early antidepressant adherence, with minority groups other than Native Americans/Alaskan Natives less likely to be adherent. Further research is needed to determine whether early nonadherence in specific minority populations is intentional, due to side effects or patient preference, or unintentional and appropriate for targeted interventions to improve adherence. © 2016 Wiley Periodicals, Inc.

Symptom-limited exercise testing causes sustained diastolic dysfunction in patients with coronary disease and low effort tolerance.

PubMed

Fragasso, G; Benti, R; Sciammarella, M; Rossetti, E; Savi, A; Gerundini, P; Chierchia, S L

1991-05-01

Exercise stress testing is routinely used for the noninvasive assessment of coronary artery disease and is considered a safe procedure. However, the provocation of severe ischemia might potentially cause delayed recovery of myocardial function. To investigate the possibility that maximal exercise testing could induce prolonged impairment of left ventricular function, 15 patients with angiographically proved coronary disease and 9 age-matched control subjects with atypical chest pain and normal coronary arteries were studied. Radionuclide ventriculography was performed at rest, at peak exercise, during recovery and 2 and 7 days after exercise. Ejection fraction, peak filling and peak emptying rates and left ventricular wall motion were analyzed. All control subjects had a normal exercise test at maximal work loads and improved left ventricular function on exercise. Patients developed 1 mm ST depression at 217 +/- 161 s at a work load of 70 +/- 30 W and a rate-pressure product of 18,530 +/- 4,465 mm Hg x beats/min. Although exercise was discontinued when angina or equivalent symptoms occurred, in all patients diagnostic ST depression (greater than or equal to 1 mm) developed much earlier than symptoms. Predictably, at peak exercise patients showed a decrease in ejection fraction and peak emptying and filling rates. Ejection fraction and peak emptying rate normalized within the recovery period, whereas peak filling rate remained depressed throughout recovery (p less than 0.002) and was still reduced 2 days after exercise (p less than 0.02). In conclusion, in patients with severe impairement of coronary flow reserve, maximal exercise may cause sustained impairement of diastolic function.(ABSTRACT TRUNCATED AT 250 WORDS)

Estimation of Filling and Afterload Conditions by Pump Intrinsic Parameters in a Pulsatile Total Artificial Heart.

PubMed

Cuenca-Navalon, Elena; Laumen, Marco; Finocchiaro, Thomas; Steinseifer, Ulrich

2016-07-01

A physiological control algorithm is being developed to ensure an optimal physiological interaction between the ReinHeart total artificial heart (TAH) and the circulatory system. A key factor for that is the long-term, accurate determination of the hemodynamic state of the cardiovascular system. This study presents a method to determine estimation models for predicting hemodynamic parameters (pump chamber filling and afterload) from both left and right cardiovascular circulations. The estimation models are based on linear regression models that correlate filling and afterload values with pump intrinsic parameters derived from measured values of motor current and piston position. Predictions for filling lie in average within 5% from actual values, predictions for systemic afterload (AoPmean , AoPsys ) and mean pulmonary afterload (PAPmean ) lie in average within 9% from actual values. Predictions for systolic pulmonary afterload (PAPsys ) present an average deviation of 14%. The estimation models show satisfactory prediction and confidence intervals and are thus suitable to estimate hemodynamic parameters. This method and derived estimation models are a valuable alternative to implanted sensors and are an essential step for the development of a physiological control algorithm for a fully implantable TAH. Copyright © 2015 International Center for Artificial Organs and Transplantation and Wiley Periodicals, Inc.

Occupational stress, anxiety and depression among Egyptian teachers.

PubMed

Desouky, Dalia; Allam, Heba

2017-09-01

Occupational stress (OS) among teachers predispose to depression and anxiety. No study was done to assess these problems among Egyptian teachers. This study aimed to assess the prevalence of OS, depression and anxiety among Egyptian teachers. A cross sectional study was done on 568 Egyptian teachers. The respondents filled a questionnaire on personal data, and the Arabic version of the Occupational Stress Index (OSI), the Arabic validated versions of Taylor manifest anxiety scale and the Beck Depression Inventory (BDI) were used to assess OS, anxiety and depression respectively. The prevalence of OS, anxiety and depression among teachers was (100%, 67.5% and 23.2%) respectively. OS, anxiety and depression scores were significantly higher among teachers with an age more than 40years, female teachers, primary school teachers, those with inadequate salary, higher teaching experience, higher qualifications and higher workload. A significant weak positive correlation was found between OS scores and anxiety and depression scores. This study indicated the need for future researches to address risk factors of OS and mental disorders among Egyptian teachers, and the need of periodical medical evaluation of teachers and medical and psychological support for the identified cases. Copyright © 2017. Published by Elsevier Ltd.

Suicidal ideation, deliberate self-harm behaviour and suicide attempts among adolescent outpatients with depressive mood disorders and comorbid axis I disorders.

PubMed

Tuisku, Virpi; Pelkonen, Mirjami; Karlsson, Linnea; Kiviruusu, Olli; Holi, Matti; Ruuttu, Titta; Punamäki, Raija-Leena; Marttunen, Mauri

2006-06-01

We aimed to analyse and compare prevalence and associated clinical features of suicidal ideation, self-harm behaviour with no suicidal intent and suicide attempts among adolescent outpatients with depressive mood disorders with or without comorbidity. A sample of 218 consecutive adolescent outpatients aged 13-19 years with depressive mood disorders was interviewed using K-SADS-PL for DSM-IV Axis I diagnoses. They filled out self-report questionnaires assessing depressive and anxiety symptoms. Suicidal behaviour was assessed by K-SADS-PL suicidality items. Half of the subjects reported suicidal ideation or behaviour. There was no difference in prevalence of suicidal behaviour between non-comorbid and comorbid mood disorder groups. Multivariate logistic regression analyses produced the following associations: (1) suicidal ideation with self-reported depressive symptoms and poor psychosocial functioning, (2) deliberate self-harm behaviour with younger age and poor psychosocial functioning, and (3) suicide attempts with self-reported depressive symptoms and poor psychosocial functioning. Depressed mood disorders, whether comorbid or not, are associated with suicidal ideation and suicide attempts. Diagnostic assessment should be supplemented by self-report methods when assessing suicidal behaviour in depressed adolescents.

Electroconvulsive therapy for depression in Parkinson's disease: systematic review of evidence and recommendations.

PubMed

Borisovskaya, Anna; Bryson, William Culbertson; Buchholz, Jonathan; Samii, Ali; Borson, Soo

2016-04-01

We performed a systematic review of evidence regarding treatment of depression in Parkinson's disease (PD) utilizing electroconvulsive therapy. The search led to the inclusion of 43 articles, mainly case reports or case series, with the largest number of patients totaling 19. The analysis included 116 patients with depression and PD; depression improved in 93.1%. Where motor symptoms' severity was reported, 83% of patients improved. Cognition did not worsen in the majority (94%). Many patients experienced delirium or transient confusion, sometimes necessitating discontinuation of electroconvulsive therapy (ECT). Little is known about maintenance ECT in this population. ECT can benefit patients suffering from PD and depression. We recommend an algorithm for treatment of depression in PD, utilizing ECT sooner rather than later.

Physicians' decisions to prescribe antidepressant therapy in older patients with depression in a US managed care plan.

PubMed

Ivanova, Jasmina I; Bienfait-Beuzon, Catherine; Birnbaum, Howard G; Connolly, Cristina; Emani, Srinivas; Sheehy, Michael

2011-01-01

Published studies indicate that depression in older adults is severely under-recognized and under-treated. To characterize primary-care physicians' decisions to prescribe antidepressants to older patients with depression. Electronic medical record (EMR) notes from office visits of older patients (aged ≥65 years), treated in a central Massachusetts multi-specialty medical group practice, were screened every 2 weeks between August 2007 and July 2008 for mention of depression. Electronic surveys containing questions about depression severity and onset, and antidepressant treatment, were sent to physicians whose EMR notes indicated that they had treated an older patient with depression, until approximately 400 responses had been received. Physicians were asked about whether they prescribed antidepressants or made changes to antidepressant treatment and were asked about the extent to which they agreed with a set of pre-specified reasons for treatment recommendations. Physicians were also allowed to document any other reasons that influenced their decision. Patient characteristics and treatment were identified from administrative claims. Univariate analyses were used to describe patient characteristics and physician survey responses. Physicians responded to the survey and confirmed a depression diagnosis for 396 patients, for whom the average age was 77.1 years and 76.5% were female. Most patients had physician-reported depression onset after age 60 years (72.2%) and moderately severe depression (58.8%). Physicians reported that 62.9% of patients were already being treated with antidepressants prior to their visit, 28.5% were recommended antidepressant initiation and 8.6% were not prescribed antidepressants. Selective serotonin reuptake inhibitors were most frequently prescribed. Maintaining prior therapy was recommended for 81.1% of treated patients and treatment modification for 18.9%. Almost all physicians (>92%) agreed that experience in use of prescription drugs, safety/tolerability and patient improvement influenced their decision to maintain prior therapy or recommend new therapy. 85.8% of physicians agreed that availability of efficacy data in the elderly influenced their decision to prescribe new therapy. 38.9% of patients who were recommended new therapy initiation did not fill an antidepressant prescription. Despite previous reports of under-treatment of depression in the elderly, this study suggests that physicians are comfortable prescribing antidepressants to the elderly, and the majority of older patients with depression were prescribed antidepressants. Rather than a physician's prescribing decision, it may be patient factors, such as refusal to accept diagnosis/treatment and noncompliance, that may lead to under-treatment--approximately 40% of patients who were recommended new antidepressant therapy did not fill an antidepressant prescription.

The Detection of Malingering: A New Tool to Identify Made-Up Depression.

PubMed

Monaro, Merylin; Toncini, Andrea; Ferracuti, Stefano; Tessari, Gianmarco; Vaccaro, Maria G; De Fazio, Pasquale; Pigato, Giorgio; Meneghel, Tiziano; Scarpazza, Cristina; Sartori, Giuseppe

2018-01-01

Major depression is a high-prevalence mental disease with major socio-economic impact, for both the direct and the indirect costs. Major depression symptoms can be faked or exaggerated in order to obtain economic compensation from insurance companies. Critically, depression is potentially easily malingered, as the symptoms that characterize this psychiatric disorder are not difficult to emulate. Although some tools to assess malingering of psychiatric conditions are already available, they are principally based on self-reporting and are thus easily faked. In this paper, we propose a new method to automatically detect the simulation of depression, which is based on the analysis of mouse movements while the patient is engaged in a double-choice computerized task, responding to simple and complex questions about depressive symptoms. This tool clearly has a key advantage over the other tools: the kinematic movement is not consciously controllable by the subjects, and thus it is almost impossible to deceive. Two groups of subjects were recruited for the study. The first one, which was used to train different machine-learning algorithms, comprises 60 subjects (20 depressed patients and 40 healthy volunteers); the second one, which was used to test the machine-learning models, comprises 27 subjects (9 depressed patients and 18 healthy volunteers). In both groups, the healthy volunteers were randomly assigned to the liars and truth-tellers group. Machine-learning models were trained on mouse dynamics features, which were collected during the subject response, and on the number of symptoms reported by participants. Statistical results demonstrated that individuals that malingered depression reported a higher number of depressive and non-depressive symptoms than depressed participants, whereas individuals suffering from depression took more time to perform the mouse-based tasks compared to both truth-tellers and liars. Machine-learning models reached a classification accuracy up to 96% in distinguishing liars from depressed patients and truth-tellers. Despite this, the data are not conclusive, as the accuracy of the algorithm has not been compared with the accuracy of the clinicians; this study presents a possible useful method that is worth further investigation.

Fusing Data Mining, Machine Learning and Traditional Statistics to Detect Biomarkers Associated with Depression

PubMed Central

Dipnall, Joanna F.

2016-01-01

Background Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took account of missing data and complex survey design to identify key biomarkers associated with depression from a large epidemiological study. Methods The study used a three-step methodology amalgamating multiple imputation, a machine learning boosted regression algorithm and logistic regression, to identify key biomarkers associated with depression in the National Health and Nutrition Examination Study (2009–2010). Depression was measured using the Patient Health Questionnaire-9 and 67 biomarkers were analysed. Covariates in this study included gender, age, race, smoking, food security, Poverty Income Ratio, Body Mass Index, physical activity, alcohol use, medical conditions and medications. The final imputed weighted multiple logistic regression model included possible confounders and moderators. Results After the creation of 20 imputation data sets from multiple chained regression sequences, machine learning boosted regression initially identified 21 biomarkers associated with depression. Using traditional logistic regression methods, including controlling for possible confounders and moderators, a final set of three biomarkers were selected. The final three biomarkers from the novel hybrid variable selection methodology were red cell distribution width (OR 1.15; 95% CI 1.01, 1.30), serum glucose (OR 1.01; 95% CI 1.00, 1.01) and total bilirubin (OR 0.12; 95% CI 0.05, 0.28). Significant interactions were found between total bilirubin with Mexican American/Hispanic group (p = 0.016), and current smokers (p<0.001). Conclusion The systematic use of a hybrid methodology for variable selection, fusing data mining techniques using a machine learning algorithm with traditional statistical modelling, accounted for missing data and complex survey sampling methodology and was demonstrated to be a useful tool for detecting three biomarkers associated with depression for future hypothesis generation: red cell distribution width, serum glucose and total bilirubin. PMID:26848571

Fusing Data Mining, Machine Learning and Traditional Statistics to Detect Biomarkers Associated with Depression.

PubMed

Dipnall, Joanna F; Pasco, Julie A; Berk, Michael; Williams, Lana J; Dodd, Seetal; Jacka, Felice N; Meyer, Denny

2016-01-01

Atheoretical large-scale data mining techniques using machine learning algorithms have promise in the analysis of large epidemiological datasets. This study illustrates the use of a hybrid methodology for variable selection that took account of missing data and complex survey design to identify key biomarkers associated with depression from a large epidemiological study. The study used a three-step methodology amalgamating multiple imputation, a machine learning boosted regression algorithm and logistic regression, to identify key biomarkers associated with depression in the National Health and Nutrition Examination Study (2009-2010). Depression was measured using the Patient Health Questionnaire-9 and 67 biomarkers were analysed. Covariates in this study included gender, age, race, smoking, food security, Poverty Income Ratio, Body Mass Index, physical activity, alcohol use, medical conditions and medications. The final imputed weighted multiple logistic regression model included possible confounders and moderators. After the creation of 20 imputation data sets from multiple chained regression sequences, machine learning boosted regression initially identified 21 biomarkers associated with depression. Using traditional logistic regression methods, including controlling for possible confounders and moderators, a final set of three biomarkers were selected. The final three biomarkers from the novel hybrid variable selection methodology were red cell distribution width (OR 1.15; 95% CI 1.01, 1.30), serum glucose (OR 1.01; 95% CI 1.00, 1.01) and total bilirubin (OR 0.12; 95% CI 0.05, 0.28). Significant interactions were found between total bilirubin with Mexican American/Hispanic group (p = 0.016), and current smokers (p<0.001). The systematic use of a hybrid methodology for variable selection, fusing data mining techniques using a machine learning algorithm with traditional statistical modelling, accounted for missing data and complex survey sampling methodology and was demonstrated to be a useful tool for detecting three biomarkers associated with depression for future hypothesis generation: red cell distribution width, serum glucose and total bilirubin.

South Polar Depression

NASA Technical Reports Server (NTRS)

2005-01-01

14 August 2005 This Mars Global Surveyor (MGS) Mars Orbiter Camera (MOC) image shows a circular depression and a suite of eroding mesas of carbon dioxide. These features occur in the south polar residual cap of Mars. The eroding carbon dioxide creates landforms reminiscent of 'Swiss cheese.' The circular feature might indicate the location of a filled, buried impact crater.

Location near: 86.8oS, 111.0oW Image width: width: 3 km (1.9 mi) Illumination from: upper left Season: Southern Spring

Void-Free Lid for Food Packaging

NASA Technical Reports Server (NTRS)

Watson, C. D.; Farris, W. P.

1986-01-01

Flexible cover eliminates air pockets in sealed container. Universal food-package lid formed from flexible plastic. Partially folded, lid unfolded by depressing center portion. Height of flat portion of lid above flange thereby reduced. Pressure of food against central oval depression pops it out, forming dome that provides finger grip for mixing contents with water or opening lid. Therefore food stays fresh, allows compact stacking of partially filled containers, and resists crushing. Originally developed for packaging dehydrated food for use in human consumption on Space Shuttle missions. Other uses include home canning and commercial food packaging.

Tribo-performance evaluation of ecofriendly brake friction composite materials

NASA Astrophysics Data System (ADS)

Kumar, Naresh; Singh, Tej; Grewal, G. S.

2018-05-01

This paper presents the potential of natural fibre in brake friction materials. Natural fibre filled ecofriendly brake friction materials were developed without Kevlar fibre evaluated for tribo-performance on a chase friction testing machine following SAE J 661a standard. Experimental results indicated that natural fibre enhances the fade performance, but depresses the friction and wear performance, whereas Kevlar fibre improves the friction, wear and recovery performance but depresses the fade performance. Also the results revealed that with the increase in natural fibre content, the friction and fade performances enhanced.

School-Based Screening for Suicide Risk: Balancing Costs and Benefits

PubMed Central

Wilcox, Holly; Huo, Yanling; Turner, J. Blake; Fisher, Prudence; Shaffer, David

2010-01-01

Objectives. We examined the effects of a scoring algorithm change on the burden and sensitivity of a screen for adolescent suicide risk. Methods. The Columbia Suicide Screen was used to screen 641 high school students for high suicide risk (recent ideation or lifetime attempt and depression, or anxiety, or substance use), determined by subsequent blind assessment with the Diagnostic Interview Schedule for Children. We compared the accuracy of different screen algorithms in identifying high-risk cases. Results. A screen algorithm comprising recent ideation or lifetime attempt or depression, anxiety, or substance-use problems set at moderate-severity level classed 35% of students as positive and identified 96% of high-risk students. Increasing the algorithm's threshold reduced the proportion identified to 24% and identified 92% of high-risk cases. Asking only about recent suicidal ideation or lifetime suicide attempt identified 17% of the students and 89% of high-risk cases. The proportion of nonsuicidal diagnosis–bearing students found with the 3 algorithms was 62%, 34%, and 12%, respectively. Conclusions. The Columbia Suicide Screen threshold can be altered to reduce the screen-positive population, saving costs and time while identifying almost all students at high risk for suicide. PMID:20634467

Petro-elastic modelling and characterization of solid-filled reservoirs: Comparative analysis on a Triassic North Sea reservoir

NASA Astrophysics Data System (ADS)

Auduson, Aaron E.

2018-07-01

One of the most common problems in the North Sea is the occurrence of salt (solid) in the pores of Triassic sandstones. Many wells have failed due to interpretation errors based conventional substitution as described by the Gassmann equation. A way forward is to device a means to model and characterize the salt-plugging scenarios. Modelling the effects of fluid and solids on rock velocity and density will ascertain the influence of pore material types on seismic data. In this study, two different rock physics modelling approaches are adopted in solid-fluid substitution, namely the extended Gassmann theory and multi-mineral mixing modelling. Using the modified new Gassmann equation, solid-and-fluid substitutions were performed from gas or water filling in the hydrocarbon reservoirs to salt materials being the pore-filling. Inverse substitutions were also performed from salt-filled case to gas- and water-filled scenarios. The modelling results show very consistent results - Salt-plugged wells clearly showing different elastic parameters when compared with gas- and water-bearing wells. While the Gassmann equation-based modelling was used to discretely compute effective bulk and shear moduli of the salt plugs, the algorithm based on the mineral-mixing (Hashin-Shtrikman) can only predict elastic moduli in a narrow range. Thus, inasmuch as both of these methods can be used to model elastic parameters and characterize pore-fill scenarios, the New Gassmann-based algorithm, which is capable of precisely predicting the elastic parameters, is recommended for use in forward seismic modelling and characterization of this reservoir and other reservoir types. This will significantly help in reducing seismic interpretation errors.

Artery balloon angioplasty and depression symptoms.

PubMed

Slovacek, Ladislav; Slovackova, Birgita

2011-06-01

Peripheral arterial occlusive disease (PAOD) as a chronic disease is associated with physical, psychological and social distress for elderly patients and their families. The study has three main aims: 1. to evaluate the occurrence and the relevance of depression symptoms in patients with PAOD, 2. to evaluate the effect of age and Fontaine stage of PAOD on relevance of depression in patients with PAOD, and 3. to evaluate the effect of artery balloon angioplasty (ABA) on occurence and relevance of depression symptoms. The study was prospective and longitudinal. Dates were obtained during year 2006. The total number of subjects with PAOD was 42 (28 males, 14 females). Thirty subjects with PAOD (20 male, 10 female) treated by ABA filled in Zung's scale 3-6 months after ABA (61%). The mean age of all subjects was 65.4 years (aged 45-79). The evaluation of occurrence and relevance of depression was performed with Czech version of Zung self-rating depression scale (ZSRS). The mean Zung self-rating depression score (ZSRDS) certifies the presence of signs of minimum or mildly depression in patients with PAOD. The results proved statistically significant dependence of depression on age and on Fontaine stage of PAOD. Also, the results proved that artery balloon angioplasty has a highly positive effect on occurrence and relevance of depression symptoms. The results had shown the existence of the association between PAOD, depression and ABA.

Response style, interpersonal difficulties and social functioning in major depressive disorder.

PubMed

Lam, Dominic; Schuck, Nikki; Smith, Neil; Farmer, Anne; Checkley, Stuart

2003-08-01

It is postulated that depressed patients who engaged in self-focused rumination on their depressive symptoms may experience more hopelessness, more interpersonal distress and poorer social functioning while patients who distract themselves may experience less severe hopelessness and better social functioning. One-hundred and nine outpatients suffering from DSM-IV (APA, 1994) major depressive disorders filled in questionnaires that mapped into their response style to depression, hopelessness and interpersonal style. They were also interviewed for their levels of social functioning. Rumination was associated with higher levels of depression and distraction was associated with lower levels of depression. Furthermore when levels of depression and gender were controlled for, rumination contributed to higher levels of hopelessness and distraction contributed to lower levels of hopelessness. Both rumination and levels of depression contributed significantly to higher levels of interpersonal distress when gender was controlled for. Ruminators were rated to have significantly more severe problems in intimate relationships while distractors were rated to have significantly higher social functioning. Our study suggests the importance of teaching patients techniques to distract themselves. This could prevent patients from getting into a vicious cycle of self-absorption and increased levels of hopelessness, finding it hard to interact with people in their social network and neglecting their intimate relationships.

Evidence-Based Practice Guideline: Depression Detection in Older Adults With Dementia.

PubMed

Brown, Ellen Leslie; Raue, Patrick J; Halpert, Karen

2015-11-01

Depression and dementia are the two most common psychiatric syndromes in the older adult population. Depression in older adults with and without dementia often goes unrecognized and untreated. The current guideline recommends a three-step procedure that can be used across health care settings to screen for the presence of depressive symptoms. Implementation of the evidence-based guideline requires administration of the Mini-Mental State Examination and either the Geriatric Depression Scale Short Form or Cornell Scale for Depression in Dementia, depending on level of cognitive functioning. The algorithm provided is designed to be used by nurses, physicians, and social workers for the purpose of depression screening in older adults with dementia. Detection of depression in individuals with dementia is hindered by a lack of a validated, brief screening tool. More research is needed on the use of such screenings among older adults with cognitive impairment. Copyright 2015, SLACK Incorporated.

Prevalence of depression, anxiety, stress, and anger in Turkish prisoners.

PubMed

Unver, Yener; Yuce, Mehmet; Bayram, Nuran; Bilgel, Nazan

2013-09-01

In Turkey, prison studies are rare and the mental health status of prisoners has not received proper attention. The purpose of this cross-sectional and descriptive study was to assess the prevalence of depression, anxiety, stress, and anger among a group of Turkish prisoners. Two self-reporting instruments (the Depression Anxiety Stress Scale-42 and Multidimensional Anger Scale) were filled out by 685 prisoners. Prisoners in the study group were found to be depressive, anxious, and stressed. Anger symptoms and aggressive behaviors were found to be at a moderate level. Prisoners with a history of being subjected to domestic violence in childhood had higher depression, anxiety, and stress scores than those without such a history. Young prisoners, those who had been previously imprisoned, with substance dependency and higher stress and anxiety levels reported more anger symptoms than others. Psychological support, together with stress and anger management programs, seems to be essential. © 2013 American Academy of Forensic Sciences.

[Characteristics of infertility-specific quality of life in Hungarian couples].

PubMed

Cserepes, Réka Eszter; Kőrösi, Tamás; Bugán, Antal

2014-05-18

Experiencing involuntary childlessness has a great impact on couples' quality of life. The aim of the authors was to examine the correlations among infertility-specific quality of life and depression on the level of individuals and couples. 126 couples in five fertility centers in Hungary filled out the FertiQoL and Beck Depression Inventory and answered some sociodemographic questions. In gender comparison, women reported about more depressive symptoms and poorer quality of life than men. Both in men and women, the higher depression level correlated with lower level of quality of life. Moreover, the presence of more depressive symptoms in women was related to men's poorer quality of life. The results show that differences may exist in affective responses to infertility between women and men and that female affective problems take effects on the level of the couple relationship. These findings may be useful in psychosocial support of the couples facing infertility, especially in couple counselling or couple therapy.

Matched-filter algorithm for subpixel spectral detection in hyperspectral image data

NASA Astrophysics Data System (ADS)

Borough, Howard C.

1991-11-01

Hyperspectral imagery, spatial imagery with associated wavelength data for every pixel, offers a significant potential for improved detection and identification of certain classes of targets. The ability to make spectral identifications of objects which only partially fill a single pixel (due to range or small size) is of considerable interest. Multiband imagery such as Landsat's 5 and 7 band imagery has demonstrated significant utility in the past. Hyperspectral imaging systems with hundreds of spectral bands offer improved performance. To explore the application of differentpixel spectral detection algorithms a synthesized set of hyperspectral image data (hypercubes) was generated utilizing NASA earth resources and other spectral data. The data was modified using LOWTRAN 7 to model the illumination, atmospheric contributions, attenuations and viewing geometry to represent a nadir view from 10,000 ft. altitude. The base hypercube (HC) represented 16 by 21 spatial pixels with 101 wavelength samples from 0.5 to 2.5 micrometers for each pixel. Insertions were made into the base data to provide random location, random pixel percentage, and random material. Fifteen different hypercubes were generated for blind testing of candidate algorithms. An algorithm utilizing a matched filter in the spectral dimension proved surprisingly good yielding 100% detections for pixels filled greater than 40% with a standard camouflage paint, and a 50% probability of detection for pixels filled 20% with the paint, with no false alarms. The false alarm rate as a function of the number of spectral bands in the range from 101 to 12 bands was measured and found to increase from zero to 50% illustrating the value of a large number of spectral bands. This test was on imagery without system noise; the next step is to incorporate typical system noise sources.

[Adverse childhood experiences and their association to personality styles in a nonmelancholic depressive sample].

PubMed

Farar, Johannes; Schüssler, Gerhard

2011-01-01

Do some life story patterns exist, which are associated with depression? Can some life story factors be identified, which influence or determine a special kind of personality, predisposing to depression? Retrospective, cross sectional study with nonexperimental character, using a number of 60 nonmelancholic depressed patients. First, they were asked to give an interview on their life story. Then, they were asked to fill in questionnaires about personality, parental style of raising, clinical symptoms and personality disorders. Significant correlations could be found between parental style of raising, a family history affected by depression, a dysfunctional household, the family composition, negative school experience and all investigated styles of personality. Further, clusters of personality, clusters of parental style of raising and clusters of specific life story factors could be detected. Results show a strong relation between life story factors and personality styles, predisposing to depression and emphasize the importance of considering personality, when exploring special life story factors. Vice versa, actual personality styles can point to different patterns of life story and thus, show the relevance for the diagnostic and therapeutic process.

Filling the treatment gap: developing a task sharing counselling intervention for perinatal depression in Khayelitsha, South Africa.

PubMed

Nyatsanza, Memory; Schneider, Marguerite; Davies, Thandi; Lund, Crick

2016-05-26

Perinatal depression is a major public health issue especially in low income settings in South Africa, where there is a shortage of mental health professionals. New psychological interventions delivered by non-specialists are needed to fill the treatment gap. This paper describes the process of developing a manual based task sharing counselling intervention for perinatal depression in Khayelitsha, Cape Town. Qualitative semi-structured interviews were conducted with 26 participants, including service providers and service users at a clinic in Khayelitsha in order to explore the feasibility, acceptability and content of a task sharing counselling intervention. The interviews were recorded, translated and transcribed. Themes were identified using the framework analysis approach and were coded and analysed using NVivo v10. After the semi-structured interviews, a workshop was conducted with mental health experts on evidence-based psychological interventions for depression, together with a document review of counselling manuals for community health workers in South Africa. The findings indicate that a task sharing counselling intervention was acceptable and feasible for depressed women in Khayelitsha, under the following conditions: (1) respondents preferred a female counsellor and felt that clinic based individual sessions should be provided at least once a month by an experienced Xhosa speaking counsellor from the community; and (2) the content of a counselling intervention should include psycho-education on cognitive and behavioural effects of depression, how to cope with interpersonal problems, and financial stressors. Based on these conditions, the review of manuals and expert consultation, key components of the counselling intervention were identified as: psycho-education, problem solving, healthy thinking and behaviour activation. These were included in the final counselling manual. The development of task sharing counselling interventions for perinatal depression should be informed by the views and needs of local service users and service providers. The study illustrates the manner in which these views can be incorporated for the development of evidence-based psychological interventions, within a task sharing framework in low and middle-income countries.

Detecting and characterizing unroofed caves by ground penetrating radar

NASA Astrophysics Data System (ADS)

Čeru, Teja; Šegina, Ela; Knez, Martin; Benac, Čedomir; Gosar, Andrej

2018-02-01

The bare karst surface in the southeastern part of Krk Island (Croatia) is characterized by different surface karst features, such as valley-like shallow linear depressions and partially or fully sediment-filled depressions of various shapes and sizes. They were noticed due to locally increased thickness of sediment and enhanced vegetation but had not yet been systematically studied and defined. Considering only the geometry of the investigated surface features and the rare traces of cave environments detected by field surveys, it was unclear which processes (surface karstification and/or speleogenesis) contributed most to their formation. The low-frequency ground penetrating radar (GPR) method using a special 50 MHz RTA antenna was applied to study and describe these karst features. Three study sites were chosen and 5 km of GPR profiles were positioned to include various surface features. The results obtained from the GPR investigation lead to the following conclusions: (1) an increased thickness of sediment was detected in all the investigated depressions indicating their considerable depth; (2) areas between different depressions expressed as attenuated zones in GPR images reveal their interconnection; (3) transitions between surface and underground features are characterized by a collapsed passage visible in the GPR data; and (4) an underground continuation of surface valley-like depressions was detected, proving the speleogenetic origin of such features. Subsurface information obtained using GPR indicates that the valley-like depressions, irregular depressions completely or partially filled with sediment, and some dolines are associated with a nearly 4 km-long unroofed cave and developed as a result of karst denudation. In the regional context, these results suggest long-lasting karstification processes in the area, in contrast to the pre-karstic fluvial phase previously assumed to have occurred here. This research is the first application of the GPR method to survey unroofed caves worldwide and the first detailed study of such karst features in Croatia. The low-frequency GPR proved to be an efficient method not only for detecting underground continuations but also for distinguishing and identifying surface features and transition zones between surface and subsurface segments of unroofed caves and can therefore be used for recognizing similar geomorphological features.

Equal Pay for Comparable Work.

ERIC Educational Resources Information Center

Von Frank, Jane

1980-01-01

Argues that sex discrimination has depressed salaries for jobs filled primarily by women. Shows that under the Equal Pay Act and Title VII, workers in traditionally female occupations can establish equal pay claims. Suggests approaches for developing legal and enforcement standards to deal with discriminatory compensation in traditionally female…

Prevalence of depression in Type 1 diabetes and the problem of over-diagnosis.

PubMed

Fisher, L; Hessler, D M; Polonsky, W H; Masharani, U; Peters, A L; Blumer, I; Strycker, L A

2016-11-01

To determine the prevalence of depression and diabetes distress in adults with Type 1 diabetes and the rate of false-positives when compared with rates of major depressive disorder. The sample consisted of 368 individuals with Type 1 diabetes, aged > 19 years. Individuals completed: the eight-item Patient Health Questionnaire depression scale (PHQ8), which was coded using four scoring criteria (scores > 10, >12 and >15, and Diagnostic and Statistical Manual of Mental Disorders 5 (DSM) algorithm scores); the Type 1 Diabetes Distress Scale; and the Structured Clinical Interview for DSM Disorders (SCID) to assess major depressive disorder. The prevalence rates of depression according to the eight-item Patient Health Questionnaire were: score >10, 11.4%; score >12, 7.1%; score >15, 3.8%; and positive algorithm result, 4.6%. The prevalence of major depressive disorder was 3.5%; and the prevalence of at least moderate diabetes distress was 42.1%. Depending on the criterion used, the false-positive rate when using the Patient Health Questionnaire compared with the results when using the SCID varied from 52 to 71%. Of those classified as depressed on the PHQ-8 or Structured Clinical Interview for DSM Disorders, between 92.3 and 96.2% also reported elevated diabetes distress. No significant association was found between any group classed as having depression according to the PHQ8 or the SCID and HbA 1c concentration. Depression was significantly associated with more other life stress, more complications and a lower level of education. We found an unexpectedly low rate of current depression and major depressive disorder in this diverse sample of adults with Type 1 diabetes, and a very high rate of false-positive results using the Patient Health Questionnaire. Considering the high prevalence of diabetes distress, much of what has been considered depression in adults with Type 1 diabetes may be attributed to the emotional distress associated with managing a demanding chronic disease and other life stressors and not necessarily to underlying psychopathology. © 2015 Diabetes UK.

Radio-Frequency Tank Eigenmode Sensor for Propellant Quantity Gauging

NASA Technical Reports Server (NTRS)

Zimmerli, Gregory A.; Buchanan, David A.; Follo, Jeffrey C.; Vaden, Karl R.; Wagner, James D.; Asipauskas, Marius; Herlacher, Michael D.

2010-01-01

Although there are several methods for determining liquid level in a tank, there are no proven methods to quickly gauge the amount of propellant in a tank while it is in low gravity or under low-settling thrust conditions where propellant sloshing is an issue. Having the ability to quickly and accurately gauge propellant tanks in low-gravity is an enabling technology that would allow a spacecraft crew or mission control to always know the amount of propellant onboard, thus increasing the chances for a successful mission. The Radio Frequency Mass Gauge (RFMG) technique measures the electromagnetic eigenmodes, or natural resonant frequencies, of a tank containing a dielectric fluid. The essential hardware components consist of an RF network analyzer that measures the reflected power from an antenna probe mounted internal to the tank. At a resonant frequency, there is a drop in the reflected power, and these inverted peaks in the reflected power spectrum are identified as the tank eigenmode frequencies using a peak-detection software algorithm. This information is passed to a pattern-matching algorithm, which compares the measured eigenmode frequencies with a database of simulated eigenmode frequencies at various fill levels. A best match between the simulated and measured frequency values occurs at some fill level, which is then reported as the gauged fill level. The database of simulated eigenmode frequencies is created by using RF simulation software to calculate the tank eigenmodes at various fill levels. The input to the simulations consists of a fairly high-fidelity tank model with proper dimensions and including internal tank hardware, the dielectric properties of the fluid, and a defined liquid/vapor interface. Because of small discrepancies between the model and actual hardware, the measured empty tank spectra and simulations are used to create a set of correction factors for each mode (typically in the range of 0.999 1.001), which effectively accounts for the small discrepancies. These correction factors are multiplied to the modes at all fill levels. By comparing several measured modes with the simulations, it is possible to accurately gauge the amount of propellant in the tank. An advantage of the RFMG approach of applying computer simulations and a pattern-matching algorithm is that the Although there are several methods for determining liquid level in a tank, there are no proven methods to quickly gauge the amount of propellant in a tank while it is in low gravity or under low-settling thrust conditions where propellant sloshing is an issue. Having the ability to quickly and accurately gauge propellant tanks in low-gravity is an enabling technology that would allow a spacecraft crew or mission control to always know the amount of propellant onboard, thus increasing the chances for a successful mission. The Radio Frequency Mass Gauge (RFMG) technique measures the electromagnetic eigenmodes, or natural resonant frequencies, of a tank containing a dielectric fluid. The essential hardware components consist of an RF network analyzer that measures the reflected power from an antenna probe mounted internal to the tank. At a resonant frequency, there is a drop in the reflected power, and these inverted peaks in the reflected power spectrum are identified as the tank eigenmode frequencies using a peak-detection software algorithm. This information is passed to a pattern-matching algorithm, which compares the measured eigenmode frequencies with a database of simulated eigenmode frequencies at various fill levels. A best match between the simulated and measured frequency values occurs at some fill level, which is then reported as the gauged fill level. The database of simulated eigenmode frequencies is created by using RF simulation software to calculate the tank eigenmodes at various fill levels. The input to the simulations consists of a fairly high-fidelity tank model with proper dimensions and including internal tank harare, the dielectric properties of the fluid, and a defined liquid/vapor interface. Because of small discrepancies between the model and actual hardware, the measured empty tank spectra and simulations are used to create a set of correction factors for each mode (typically in the range of 0.999 1.001), which effectively accounts for the small discrepancies. These correction factors are multiplied to the modes at all fill levels. By comparing several measured modes with the simulations, it is possible to accurately gauge the amount of propellant in the tank. An advantage of the RFMG approach of applying computer simulations and a pattern-matching algorithm is that the

Can we do better than the grid survey: Optimal synoptic surveys in presence of variable uncertainty and decorrelation scales

NASA Astrophysics Data System (ADS)

Frolov, Sergey; Garau, Bartolame; Bellingham, James

2014-08-01

Regular grid ("lawnmower") survey is a classical strategy for synoptic sampling of the ocean. Is it possible to achieve a more effective use of available resources if one takes into account a priori knowledge about variability in magnitudes of uncertainty and decorrelation scales? In this article, we develop and compare the performance of several path-planning algorithms: optimized "lawnmower," a graph-search algorithm (A*), and a fully nonlinear genetic algorithm. We use the machinery of the best linear unbiased estimator (BLUE) to quantify the ability of a vehicle fleet to synoptically map distribution of phytoplankton off the central California coast. We used satellite and in situ data to specify covariance information required by the BLUE estimator. Computational experiments showed that two types of sampling strategies are possible: a suboptimal space-filling design (produced by the "lawnmower" and the A* algorithms) and an optimal uncertainty-aware design (produced by the genetic algorithm). Unlike the space-filling designs that attempted to cover the entire survey area, the optimal design focused on revisiting areas of high uncertainty. Results of the multivehicle experiments showed that fleet performance predictors, such as cumulative speed or the weight of the fleet, predicted the performance of a homogeneous fleet well; however, these were poor predictors for comparing the performance of different platforms.

Genetic Algorithm Optimization of Phononic Bandgap Structures

DTIC Science & Technology

2006-09-01

a GA with a computational finite element method for solving the acoustic wave equation, and find optimal designs for both metal-matrix composite...systems consisting of Ti/SiC, and H2O-filled porous ceramic media, by maximizing the relative acoustic bandgap for these media. The term acoustic here...stress minimization, global optimization, phonon bandgap, genetic algorithm, periodic elastic media, inhomogeneity, inclusion, porous media, acoustic

Machine learning classifier using abnormal brain network topological metrics in major depressive disorder.

PubMed

Guo, Hao; Cao, Xiaohua; Liu, Zhifen; Li, Haifang; Chen, Junjie; Zhang, Kerang

2012-12-05

Resting state functional brain networks have been widely studied in brain disease research. However, it is currently unclear whether abnormal resting state functional brain network metrics can be used with machine learning for the classification of brain diseases. Resting state functional brain networks were constructed for 28 healthy controls and 38 major depressive disorder patients by thresholding partial correlation matrices of 90 regions. Three nodal metrics were calculated using graph theory-based approaches. Nonparametric permutation tests were then used for group comparisons of topological metrics, which were used as classified features in six different algorithms. We used statistical significance as the threshold for selecting features and measured the accuracies of six classifiers with different number of features. A sensitivity analysis method was used to evaluate the importance of different features. The result indicated that some of the regions exhibited significantly abnormal nodal centralities, including the limbic system, basal ganglia, medial temporal, and prefrontal regions. Support vector machine with radial basis kernel function algorithm and neural network algorithm exhibited the highest average accuracy (79.27 and 78.22%, respectively) with 28 features (P<0.05). Correlation analysis between feature importance and the statistical significance of metrics was investigated, and the results revealed a strong positive correlation between them. Overall, the current study demonstrated that major depressive disorder is associated with abnormal functional brain network topological metrics and statistically significant nodal metrics can be successfully used for feature selection in classification algorithms.

Determinants of ante-partum depression: a multicenter study.

PubMed

Balestrieri, Matteo; Matteo, Balestrieri; Isola, Miriam; Miriam, Isola; Bisoffi, Giulia; Giulia, Bisoffi; Calò, Salvatore; Salvatore, Calò; Conforti, Anita; Anita, Conforti; Driul, Lorenza; Lorenza, Driul; Marchesoni, Diego; Diego, Marchesoni; Petrosemolo, Paola; Paola, Petrosemolo; Rossi, Michela; Michela, Rossi; Zito, Adriana; Adriana, Zito; Zorzenone, Stefania; Stefania, Zorzenone; Di Sciascio, Guido; Guido, Di Sciascio; Leone, Roberto; Roberto, Leone; Bellantuono, Cesario; Cesario, Bellantuono

2012-12-01

Ante-partum depression (APD) is usually defined as a non-psychotic depressive episode of mild to moderate severity, beginning in or extending into pregnancy. APD has received less attention than postpartum depression. This is a cross-sectional study carried out in the Obstetrics and Gynaecology (OG) departments of four different general hospitals in Italy. Women attending consecutively the OG departments for their first ultrasound examination were asked to fill in the Edinburgh Postnatal Depression Scale (EPDS) in its Italian validated version. We used the total scores of the EPDS as a continuous variable for univariate and linear regression analyses; in accordance with the literature, the item analysis of EPDS was carried out by classifying the sample as women with "no depression" (scores 0-9), "possible depression" (scores 10-12), "probable depression" (scores 13+) and "probable APD" (scores 15+). The number of women recruited was 1,608. The EPDS assessment classified 10.9 % of the women as possibly depressed, 8.3 % as probably depressed and 4.7 % probably affected from an APD. EPDS score distribution was associated with nationality (higher scores for foreigners), cohabitation (higher scores for women living with friends or in a community), occupation (higher scores for housewives), past episodes of depression and use of herbal drugs. Non-depressed women had significantly lower values on all ten items as compared with depressed women, however, the pattern of item distribution on the EPDS scale remained similar across depression severity groups. In all four groups item 4 (anxious depression) attained the highest scores, while item 10 (suicidality) attained the lowest scores.

Scale effect on overland flow connectivity, at the interill scale

NASA Astrophysics Data System (ADS)

Penuela Fernandez, A.; Bielders, C.; Javaux, M.

2012-04-01

The relative surface connection function (RSC) was proposed by Antoine et al. (2009) as a functional indicator of runoff flow connectivity. For a given area, it expresses the percentage of the surface connected to the outlet (C) as a function of the degree of filling of the depression storage. This function explicitly integrates the flow network at the soil surface and hence provides essential information regarding the flow paths' connectivity. It has been shown that this function could help improve the modeling of the hydrogram at the square meter scale, yet it is unknown how the scale affects the RSC function, and whether and how it can be extrapolated to other scales. The main objective of this research is to study the scale effect on overland flow connectivity (RSC function). For this purpose, digital elevation data of a real field (9 x 3 m) and three synthetic fields (6 x 6 m) with contrasting hydrological responses was used, and the RSC function was calculated at different scales by changing the length (L) or width (l) of the field. Border effects were observed for the smaller scales. In most of cases, for L or l smaller than 750mm, increasing L or l, resulted in a strong increase or decrease of the maximum depression storage, respectively. There was no scale effect on the RSC function when changing l. On the contrary, a remarkable scale effect was observed in the RSC function when changing L. In general, for a given degree of filling of the depression storage, C decreased as L increased. This change in C was inversely proportional to the change in L. This observation applied only up to approx. 50-70% (depending on the hydrological response of the field) of filling of depression storage, after which no correlation was found between C and L. The results of this study help identify the critical scale to study overland flow connectivity. At scales larger than the critical scale, the RSC function showed a great potential to be extrapolated to other scales.

Convergence and divergence of neurocognitive patterns in schizophrenia and depression.

PubMed

Liang, Sugai; Brown, Matthew R G; Deng, Wei; Wang, Qiang; Ma, Xiaohong; Li, Mingli; Hu, Xun; Juhas, Michal; Li, Xinmin; Greiner, Russell; Greenshaw, Andrew J; Li, Tao

2018-02-01

Neurocognitive impairments are frequently observed in schizophrenia and major depressive disorder (MDD). However, it remains unclear whether reported neurocognitive abnormalities could objectively identify an individual as having schizophrenia or MDD. The current study included 220 first-episode patients with schizophrenia, 110 patients with MDD and 240 demographically matched healthy controls (HC). All participants performed the short version of the Wechsler Adult Intelligence Scale-Revised in China; the immediate and delayed logical memory of the Wechsler Memory Scale-Revised in China; and seven tests from the computerized Cambridge Neurocognitive Test Automated Battery to evaluate neurocognitive performance. The three-class AdaBoost tree-based ensemble algorithm was employed to identify neurocognitive endophenotypes that may distinguish between subjects in the categories of schizophrenia, depression and HC. Hierarchical cluster analysis was applied to further explore the neurocognitive patterns in each group. The AdaBoost algorithm identified individual's diagnostic class with an average accuracy of 77.73% (80.81% for schizophrenia, 53.49% for depression and 86.21% for HC). The average area under ROC curve was 0.92 (0.96 in schizophrenia, 0.86 in depression and 0.92 in HC). Hierarchical cluster analysis revealed for MDD and schizophrenia, convergent altered neurocognition patterns related to shifting, sustained attention, planning, working memory and visual memory. Divergent neurocognition patterns for MDD and schizophrenia related to motor speed, general intelligence, perceptual sensitivity and reversal learning were identified. Neurocognitive abnormalities could predict whether the individual has schizophrenia, depression or neither with relatively high accuracy. Additionally, the neurocognitive features showed promise as endophenotypes for discriminating between schizophrenia and depression. Copyright © 2017 Elsevier B.V. All rights reserved.

Feasibility of nurse-led antidepressant medication management of depression in an HIV clinic in Tanzania.

PubMed

Adams, Julie L; Almond, Maria L G; Ringo, Edward J; Shangali, Wahida H; Sikkema, Kathleen J

2012-01-01

Sub-Saharan Africa has the highest HIV prevalence worldwide and depression is highly prevalent among those infected. The negative impact of depression on HIV outcomes highlights the need to identify and treat it in this population. A model for doing this in lower-resourced settings involves task-shifting depression treatment to primary care; however, HIV-infected individuals are often treated in a parallel HIV specialty setting. We adapted a model of task-shifting, measurement-based care (MBC), for an HIV clinic setting and tested its feasibility in Tanzania. MBC involves measuring depressive symptoms at meaningful intervals and adjusting antidepressant medication treatment based on the measure of illness. Twenty adults presenting for care at an outpatient HIV clinic in Tanzania were enrolled and followed by a nurse care manager who measured depressive symptoms at baseline and every 4 weeks for 12 weeks. An algorithm-based decision-support tool was utilized by the care manager to recommend individualized antidepressant medication doses to participants' HIV providers at each visit. Retention was high and fidelity of the care manager to the MBC protocol was exceptional. Follow through of antidepressant prescription dosing recommendations by the prescriber was low. Limited availability of antidepressants was also noted. Despite challenges, baseline depression scores decreased over the 12-week period. Overall, the model of algorithm-based nursing support of prescription decisions was feasible. Future studies should address implementation issues of medication supply and dosing. Further task-shifting to relatively more abundant and lower-skilled health workers, such as nurses' aides, warrants examination.

Idle minds are the devil's tools? Coping, depressed mood and divergent thinking in older adults.

PubMed

Mélendez, Juan Carlos; Alfonso-Benlliure, Vicente; Mayordomo, Teresa

2017-10-20

The main aim was to test a causal relations model of the problem-focused and emotion-focused coping styles, depressed mood, and divergent thinking (DT) in older adults. It was hypothesized that both forms of coping would have a significant effect on predicting depressed mood, and that problem-focused coping and depressed mood would have a significant effect on DT. Participants were 135 subjects with ages ranging between 55 and 84 years old, who took part in a personal interview and filled out several questionnaires. The statistical analysis included structural equations models (SEM). The initial model led to a final model endorsed by the goodness of fit, composite reliability, and discriminant validity indexes. This model confirms a direct relationship between the two types of coping strategies and depressed mood (with the opposite sign), but not between rational coping and DT. Finally, depressed mood was also confirmed as a mediator variable between coping and DT. The type of coping is a clear predictor of mood in older adults. Advanced age decline is not necessarily translated into inefficacy in everyday problem solving especially in those who, through proble-focused coping, avoid depressed moods and maintain good levels of DT.

Epidermis area detection for immunofluorescence microscopy

NASA Astrophysics Data System (ADS)

Dovganich, Andrey; Krylov, Andrey; Nasonov, Andrey; Makhneva, Natalia

2018-04-01

We propose a novel image segmentation method for immunofluorescence microscopy images of skin tissue for the diagnosis of various skin diseases. The segmentation is based on machine learning algorithms. The feature vector is filled by three groups of features: statistical features, Laws' texture energy measures and local binary patterns. The images are preprocessed for better learning. Different machine learning algorithms have been used and the best results have been obtained with random forest algorithm. We use the proposed method to detect the epidermis region as a part of pemphigus diagnosis system.

The Beck Depression Inventory (BDI-II) and a single screening question as screening tools for depressive disorder in Dutch advanced cancer patients.

PubMed

Warmenhoven, Franca; van Rijswijk, Eric; Engels, Yvonne; Kan, Cornelis; Prins, Judith; van Weel, Chris; Vissers, Kris

2012-02-01

Depression is highly prevalent in advanced cancer patients, but the diagnosis of depressive disorder in patients with advanced cancer is difficult. Screening instruments could facilitate diagnosing depressive disorder in patients with advanced cancer. The aim of this study was to determine the validity of the Beck Depression Inventory (BDI-II) and a single screening question as screening tools for depressive disorder in advanced cancer patients. Patients with advanced metastatic disease, visiting the outpatient palliative care department, were asked to fill out a self-questionnaire containing the Beck Depression Inventory (BDI-II) and a single screening question "Are you feeling depressed?" The mood section of the PRIME-MD was used as a gold standard. Sixty-one patients with advanced metastatic disease were eligible to be included in the study. Complete data were obtained from 46 patients. The area under the curve of the receiver operating characteristics analysis of the BDI-II was 0.82. The optimal cut-off point of the BDI-II was 16 with a sensitivity of 90% and a specificity of 69%. The single screening question showed a sensitivity of 50% and a specificity of 94%. The BDI-II seems an adequate screening tool for a depressive disorder in advanced cancer patients. The sensitivity of a single screening question is poor.

Gender differences in the association of depression with career indecisiveness, career-decision status, and career-preference crystallization.

PubMed

Gadassi, Reuma; Waser, Ayelet; Gati, Itamar

2015-10-01

Depression has detrimental effects on broad areas of functioning. However, its association with career decision-making factors has been largely unexplored. In the present study, we focused on the association between career decision-making difficulties, career-decision status, and career-preference crystallization, on the one hand, and depression, on the other. The hypothesis that high levels of career decision-making difficulties, less advanced decision status, and low levels of preference crystallization are associated with higher levels of depressive symptoms was tested with a sample of 222 college seniors. In addition, since it has been found that work-related stressors are more often associated with depression among men than women, it was hypothesized that the associations between vocational factors and depression would be stronger for men than for women. The participants filled out online self-report questionnaires assessing depressive symptoms, emotional and personality-related career decision-making difficulties, career-decision status, and career preferences. The results indicated that self-concept and identity-related career decision-making difficulties were associated with depressive symptoms for both men and women. In addition, for men, but not for women, less crystallization of career preferences also predicted higher levels of depressive symptoms. These results show how important it is for counseling psychologists to understand the role of the individual's vocational situation in depression. (c) 2015 APA, all rights reserved).

Specificity of interpretation and judgemental biases in social phobia versus depression.

PubMed

Voncken, M J; Bögels, S M; Peeters, F

2007-09-01

A body of studies shows that social phobia is characterized by content specific interpretation and judgmental biases. That is, they show bias in social situations but not in non-social situations. Comorbid depression, one of the major comorbid disorders in social phobia, might account for these biases in social phobia since depression also is characterized by cognitive distortions in social situations. This study hypothesized that, despite comorbid depression, patients with social phobia would suffer from contentspecific biases. Participants filled out the Interpretation and Judgmental Questionnaire (IJQ) to assess interpretation bias (using open-ended responses and forced-interpretations) and judgmental bias in social and non-social situations. Four groups participated: social phobic patients with high (N=38) and low (N=47) depressive symptoms, depressed patients (N=22) and normal controls (N=33). We found both social phobic groups to interpret social situations more negatively and judge social situations as more threatening than non-social situations relative to depressed patients and normal controls. As expected, depressive symptoms related to increased general interpretation and judgmental biases across social and non-social situations. In contrast to expectations, we did not find these patterns for the open-ended measure of interpretation bias. The content-specific biases for social situations distinguished social phobic patients from depressive patients. This speaks for the importance of establishing the primary diagnosis in patients with mixed depression and social anxiety complaints.

Acute Heart Failure Triggered by Coronary Spasm With Transient Left Ventricular Dysfunction.

PubMed

Adachi, Yusuke; Sakakura, Kenichi; Ibe, Tatsuro; Yoshida, Nanae; Wada, Hiroshi; Fujita, Hideo; Momomura, Shin-Ichi

2017-04-06

Coronary spasm is abnormal contraction of an epicardial coronary artery resulting in myocardial ischemia. Coronary spasm induces not only depressed myocardial contractility, but also incomplete myocardial relaxation, which leads to elevated ventricular filling pressure. We herein report the case of a 55-year-old woman who had repeated acute heart failure caused by coronary spasm. Acetylcholine provocation test with simultaneous right heart catheterization was useful for the diagnosis of elevated ventricular filling pressure as well as coronary artery spasm. We should add coronary spasm to a differential diagnosis for repeated acute heart failure.

16 CFR § 1632.6 - Ticking substitution procedure.

Code of Federal Regulations, 2013 CFR

2013-01-01

... specific filling, thickness, density, and chemical composition; a specific thread; a specific method of... ticking is quilted, one cigarette shall be placed over the thread or in the depression created by the quilting process. Each cigarette must be positioned no less than two inches (5.08 cm) from any other...

Coupling Aeolian Stratigraphic Architecture to Paleo-Boundary Conditions: The Scour-Fill Dominated Jurassic Page Sandstone

NASA Astrophysics Data System (ADS)

Cardenas, B. T.; Kocurek, G.; Mohrig, D. C.; Swanson, T.

2017-12-01

The stratigraphic architecture of aeolian sandstones is thought to encode signals originating from both autogenic dune behavior and allogenic boundary conditions within which the dune field evolves. Mapping of outcrop-scale bounding surfaces and sets of cross-strata between these surfaces for the Jurassic Page Sandstone near Page, AZ, USA, demonstrates that dune autogenic behavior manifested in variable dune scour depth, whereas the dominant boundary conditions were antecedent topography and water-table elevation. At the study area, the Page Sandstone is 60 m thick and is separated from the underlying Navajo Sandstone by the J-2 regional unconformity, which shows meters of relief. Filling J-2 depressions are thin, climbing sets of cross-strata. In contrast, the overlying Page consists of packages of one to a few, meter-scale sets of cross-strata between the outcrop-scale bounding surfaces. These surfaces, marked by polygonal fractures and local overlying sabkha deposits, are regional in scale and correlated to high stands of the adjacent Carmel sea. Over the km-scale outcrop, the surfaces show erosional relief and packages of cross-strata are locally truncated. Notably absent within these cross-strata packages are early dune-field accumulations, interdune deposits, and apparent dune-climbing. These strata are interpreted to represent a scour-fill architecture created by migrating large dunes within a mature dry aeolian sand sea, in which early phases of dune-field construction have been cannibalized and dune fill of the deepest scours is recorded. At low angles of climb, set thickness is dominated by the component of scour-depth variation over the component resulting from the angle of climb. After filling of J-2 depressions, the Page consists of scour-fill accumulations formed during low stands. Carmel transgressions limited sediment availability, causing deflation to the water table and development of the regional bounding surfaces. Each subsequent fall of the water table with Carmel regressions renewed sediment availability, including local breaching of the resistant surfaces and cannibalization of Page accumulations. The Page record exists because of preservation associated with Carmel transgressions and subsidence, without which the Page would be represented by an erosional surface.

Analysis of sequencing and scheduling methods for arrival traffic

NASA Technical Reports Server (NTRS)

Neuman, Frank; Erzberger, Heinz

1990-01-01

The air traffic control subsystem that performs scheduling is discussed. The function of the scheduling algorithms is to plan automatically the most efficient landing order and to assign optimally spaced landing times to all arrivals. Several important scheduling algorithms are described and the statistical performance of the scheduling algorithms is examined. Scheduling brings order to an arrival sequence for aircraft. First-come-first-served scheduling (FCFS) establishes a fair order, based on estimated times of arrival, and determines proper separations. Because of the randomness of the traffic, gaps will remain in the scheduled sequence of aircraft. These gaps are filled, or partially filled, by time-advancing the leading aircraft after a gap while still preserving the FCFS order. Tightly scheduled groups of aircraft remain with a mix of heavy and large aircraft. Separation requirements differ for different types of aircraft trailing each other. Advantage is taken of this fact through mild reordering of the traffic, thus shortening the groups and reducing average delays. Actual delays for different samples with the same statistical parameters vary widely, especially for heavy traffic.

Does provider adherence to a treatment guideline change clinical outcomes for patients with bipolar disorder? Results from the Texas Medication Algorithm Project.

PubMed

Dennehy, Ellen B; Suppes, Trisha; Rush, A John; Miller, Alexander L; Trivedi, Madhukar H; Crismon, M Lynn; Carmody, Thomas J; Kashner, T Michael

2005-12-01

Despite increasing adoption of clinical practice guidelines in psychiatry, there is little measurement of provider implementation of these recommendations, and the resulting impact on clinical outcomes. The current study describes one effort to measure these relationships in a cohort of public sector out-patients with bipolar disorder. Participants were enrolled in the algorithm intervention of the Texas Medication Algorithm Project (TMAP). Study methods and the adherence scoring algorithm have been described elsewhere. The current paper addresses the relationships between patient characteristics, provider experience with the algorithm, provider adherence, and clinical outcomes. Measurement of provider adherence includes evaluation of visit frequency, medication choice and dosing, and response to patient symptoms. An exploratory composite 'adherence by visit' score was developed for these analyses. A total of 1948 visits from 141 subjects were evaluated, and utilized a two-stage declining effects model. Providers with more experience using the algorithm tended to adhere less to treatment recommendations. Few patient factors significantly impacted provider adherence. Increased adherence to algorithm recommendations was associated with larger decreases in overall psychiatric symptoms and depressive symptoms over time, but did not impact either immediate or long-term reductions in manic symptoms. Greater provider adherence to treatment guideline recommendations was associated with greater reductions in depressive symptoms and overall psychiatric symptoms over time. Additional research is needed to refine measurement and to further clarify these relationships.

Metal artifact reduction in tomosynthesis imaging

NASA Astrophysics Data System (ADS)

Zhang, Zhaoxia; Yan, Ming; Tao, Kun; Xuan, Xiao; Sabol, John M.; Lai, Hao

2015-03-01

The utility of digital tomosynthesis has been shown for many clinical scenarios including post orthopedic surgery applications. However, two kinds of metal artifacts can influence diagnosis: undershooting and ripple. In this paper, we describe a novel metal artifact reduction (MAR) algorithm to reduce both of these artifacts within the filtered backprojection framework. First, metal areas that are prone to cause artifacts are identified in the raw projection images. These areas are filled with values similar to those in the local neighborhood. During the filtering step, the filled projection is free of undershooting due to the resulting smooth transition near the metal edge. Finally, the filled area is fused with the filtered raw projection data to recover the metal. Since the metal areas are recognized during the back projection step, anatomy and metal can be distinguished - reducing ripple artifacts. Phantom and clinical experiments were designed to quantitatively and qualitatively evaluate the algorithms. Based on phantom images with and without metal implants, the Artifact Spread Function (ASF) was used to quantify image quality in the ripple artifact area. The tail of the ASF with MAR decreases from in-plane to out-of-plane, implying a good artifact reduction, while the ASF without MAR remains high over a wider range. An intensity plot was utilized to analyze the edge of undershooting areas. The results illustrate that MAR reduces undershooting while preserving the edge and size of the metal. Clinical images evaluated by physicists and technologists agree with these quantitative results to further demonstrate the algorithm's effectiveness.

A mesh partitioning algorithm for preserving spatial locality in arbitrary geometries

DOE Office of Scientific and Technical Information (OSTI.GOV)

Nivarti, Girish V., E-mail: g.nivarti@alumni.ubc.ca; Salehi, M. Mahdi; Bushe, W. Kendal

2015-01-15

Highlights: •An algorithm for partitioning computational meshes is proposed. •The Morton order space-filling curve is modified to achieve improved locality. •A spatial locality metric is defined to compare results with existing approaches. •Results indicate improved performance of the algorithm in complex geometries. -- Abstract: A space-filling curve (SFC) is a proximity preserving linear mapping of any multi-dimensional space and is widely used as a clustering tool. Equi-sized partitioning of an SFC ignores the loss in clustering quality that occurs due to inaccuracies in the mapping. Often, this results in poor locality within partitions, especially for the conceptually simple, Morton ordermore » curves. We present a heuristic that improves partition locality in arbitrary geometries by slicing a Morton order curve at points where spatial locality is sacrificed. In addition, we develop algorithms that evenly distribute points to the extent possible while maintaining spatial locality. A metric is defined to estimate relative inter-partition contact as an indicator of communication in parallel computing architectures. Domain partitioning tests have been conducted on geometries relevant to turbulent reactive flow simulations. The results obtained highlight the performance of our method as an unsupervised and computationally inexpensive domain partitioning tool.« less

Development of a hybrid image processing algorithm for automatic evaluation of intramuscular fat content in beef M. longissimus dorsi.

PubMed

Du, Cheng-Jin; Sun, Da-Wen; Jackman, Patrick; Allen, Paul

2008-12-01

An automatic method for estimating the content of intramuscular fat (IMF) in beef M. longissimus dorsi (LD) was developed using a sequence of image processing algorithm. To extract IMF particles within the LD muscle from structural features of intermuscular fat surrounding the muscle, three steps of image processing algorithm were developed, i.e. bilateral filter for noise removal, kernel fuzzy c-means clustering (KFCM) for segmentation, and vector confidence connected and flood fill for IMF extraction. The technique of bilateral filtering was firstly applied to reduce the noise and enhance the contrast of the beef image. KFCM was then used to segment the filtered beef image into lean, fat, and background. The IMF was finally extracted from the original beef image by using the techniques of vector confidence connected and flood filling. The performance of the algorithm developed was verified by correlation analysis between the IMF characteristics and the percentage of chemically extractable IMF content (P<0.05). Five IMF features are very significantly correlated with the fat content (P<0.001), including count densities of middle (CDMiddle) and large (CDLarge) fat particles, area densities of middle and large fat particles, and total fat area per unit LD area. The highest coefficient is 0.852 for CDLarge.

Adaptive kernel regression for freehand 3D ultrasound reconstruction

NASA Astrophysics Data System (ADS)

Alshalalfah, Abdel-Latif; Daoud, Mohammad I.; Al-Najar, Mahasen

2017-03-01

Freehand three-dimensional (3D) ultrasound imaging enables low-cost and flexible 3D scanning of arbitrary-shaped organs, where the operator can freely move a two-dimensional (2D) ultrasound probe to acquire a sequence of tracked cross-sectional images of the anatomy. Often, the acquired 2D ultrasound images are irregularly and sparsely distributed in the 3D space. Several 3D reconstruction algorithms have been proposed to synthesize 3D ultrasound volumes based on the acquired 2D images. A challenging task during the reconstruction process is to preserve the texture patterns in the synthesized volume and ensure that all gaps in the volume are correctly filled. This paper presents an adaptive kernel regression algorithm that can effectively reconstruct high-quality freehand 3D ultrasound volumes. The algorithm employs a kernel regression model that enables nonparametric interpolation of the voxel gray-level values. The kernel size of the regression model is adaptively adjusted based on the characteristics of the voxel that is being interpolated. In particular, when the algorithm is employed to interpolate a voxel located in a region with dense ultrasound data samples, the size of the kernel is reduced to preserve the texture patterns. On the other hand, the size of the kernel is increased in areas that include large gaps to enable effective gap filling. The performance of the proposed algorithm was compared with seven previous interpolation approaches by synthesizing freehand 3D ultrasound volumes of a benign breast tumor. The experimental results show that the proposed algorithm outperforms the other interpolation approaches.

Conversion of urodynamic pressures measured simultaneously by air-charged and water-filled catheter systems.

PubMed

Awada, Hassan K; Fletter, Paul C; Zaszczurynski, Paul J; Cooper, Mitchell A; Damaser, Margot S

2015-08-01

The objective of this study was to compare the simultaneous responses of water-filled (WFC) and air-charged (ACC) catheters during simulated urodynamic pressures and develop an algorithm to convert peak pressures measured using an ACC to those measured by a WFC. Examples of cough leak point pressure and valsalva leak point pressure data (n = 4) were obtained from the literature, digitized, and modified in amplitude and duration to create a set of simulated data that ranged in amplitude from 15 to 220 cm H2 O (n = 25) and duration from 0.1 to 3.0 sec (n = 25) for each original signal. Simulated pressure signals were recorded simultaneously by WFCs, ACCs, and a reference transducer in a specially designed pressure chamber. Peak pressure and time to peak pressure were calculated for each simulated pressure signal and were used to develop an algorithm to convert peak pressures recorded with ACCs to corresponding peak pressures recorded with WFCs. The algorithm was validated with additional simulated urodynamic pressure signals and additional catheters that had not been utilized to develop the algorithm. ACCs significantly underestimated peak pressures of more rapidly changing pressures, as in coughs, compared to those measured by WFCs. The algorithm corrected 90% of peak pressures measured by ACCs to within 5% of those measured by WFCs when simultaneously exposed to the same pressure signals. The developed algorithm can be used to convert rapidly changing urodynamic pressures, such as cough leak point pressure, obtained using ACC systems to corresponding values expected from WFC systems. © 2014 Wiley Periodicals, Inc.

Psychosocial Correlates of Jordanian Adolescents' Help-Seeking Intentions for Depression: Findings From a Nationally Representative School Survey.

PubMed

Dardas, Latefa Ali; Silva, Susan G; van de Water, Brittney; Vance, Ashlee; Smoski, Moria J; Noonan, Devon; Simmons, Leigh Ann

2017-01-01

Little is known about help-seeking for depression among Jordanian adolescents who are a vulnerable population with high rates of depressive symptoms and few mental health services. The purpose of this study was to (1) explore Jordanian adolescents' helpseeking intentions for depression and (2) examine whether depression stigma, depression severity, or their interaction are associated with Jordanian adolescents' willingness to seek help for depression and the type of treatment they would seek. In collaboration with the Jordanian Ministry of Education, we conducted a nationally representative, school-based survey of adolescents aged 12-17 years ( N = 2,349). One fourth of the adolescents reported they would not seek professional help for depression, and those respondents had higher average depression scores. Among those adolescents willing to seek help, the most likely sources included family member (57%), school counselor (46%), psychiatrist (43%), religious leader (39%), and general health practitioner (28%). Lower stigma scores were associated with greater likelihood to seek psychotherapy or visit a psychiatrist, while higher stigma scores were associated with increased likelihood to seek help from a school counselor or a family member. Jordanian adolescents experience significant barriers to seeking professional help for depression. However, even among adolescents with greater depression severity and depression stigma, school counselors were identified as a key resource for help. These findings suggest that school-based interventions may fill a critical service need for adolescents with depression and other mental health problems. School nurses should be leveraged along with counselors to address mental health issues in this vulnerable population.

ARC-1989-A89-7029

NASA Image and Video Library

1989-08-25

P-34692 Range : 500 km. ( 300 miles ) Smallest Resolvable Feature : 900 m. or 2,700 ft. Part of Triton's complex geological history canbe seen in this image, shot by Voyager 2. Part of a sequence, this photograph encompasses two depressions, possibly old impact basins, that have been extensively modified by floodind, melting, faulting, and collapse. Several episodes of filling and partial removal of material appear to have occurred. The rough area in the middle of the bottom depression probably marks the most recent eruption of material. Only a few impact craters dot the area, which shows the dominance of internally driven geologic processes on Triton.

Evaluation of life quality, self-confidence and sexual functions in patients with total and partial laryngectomy.

PubMed

Batıoğlu-Karaaltın, Ayşegül; Binbay, Zerrin; Yiğit, Özgür; Dönmez, Zehra

2017-04-01

In this study patients who have undergone partial (PL) or total laryngectomy (TL) were evaluated for life quality, self-esteem and sexual dysfunctions. 108 patients who received TL or PL without tracheostoma were included in this study. During patient interview, sociodemographical data form, European Organization for Research and Treatment of Cancer, Life Questionnaire Core 30 Items, Cancer and Head and Neck module-35 Items (EORTC QLQ-C30 and H&N35) were filled and patients were also asked to fill in Arizona Sexual Experiences Scale (ASEX), Beck's Depression Inventory (BDI), Beck's Anxiety Inventory (BAI) and Rosenberg Self-Esteem Scale (RSES) forms. Depression and anxiety scores and points taken from RSES were significantly different between TL and PL patients (p=0.045, p=0.041 and p=0.006 respectively). Although the difference was not significant in ASEX (p=0.174), the average scores of sexuality subunit (QL-35 59-60) of EORTC QLQ-H&N35 module were significantly different in these patients (p<0.001). Besides, it was shown that 90.3% of TL patients and 63.9% of PL patients have experienced negative effects in sexual functions. TL patients were more often observed to have problems regarding depression, anxiety, self-esteem and sexual functions and it is concluded that they may need psychosocial support more than PL patients. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Digital spatial data for predicted nitrate and arsenic concentrations in basin-fill aquifers of the Southwest Principal Aquifers study area

USGS Publications Warehouse

McKinney, Tim S.; Anning, David W.

2012-01-01

This product "Digital spatial data for predicted nitrate and arsenic concentrations in basin-fill aquifers of the Southwest Principal Aquifers study area" is a 1:250,000-scale vector spatial dataset developed as part of a regional Southwest Principal Aquifers (SWPA) study (Anning and others, 2012). The study examined the vulnerability of basin-fill aquifers in the southwestern United States to nitrate contamination and arsenic enrichment. Statistical models were developed by using the random forest classifier algorithm to predict concentrations of nitrate and arsenic across a model grid that represents local- and basin-scale measures of source, aquifer susceptibility, and geochemical conditions.

Analysis of MAIAC Dust Aerosol Retrievals from MODIS Over North Africa

NASA Technical Reports Server (NTRS)

Lyapustin, A.; Wang, Y.; Hsu, C.; Torres, O.; Leptoukh, G.; Kalashnikova, O.; Korkin, S.

2011-01-01

An initial comparison of aerosol optical thickness over North Africa for year 2007 was performed between the Deep Blue and Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithms complimented with MISR and OMI data. The new MAIAC algorithm has a better sensitivity to the small dust storms than the DB algorithm, but it also has biases in the brightest desert regions indicating the need for improvement. The quarterly averaged AOT values in the Bodele depression and western downwind transport region show a good agreement among MAIAC, MISR and OMI data, while the DB algorithm shows a somewhat different seasonality.

Development of a thresholding algorithm for calcium classification at multiple CT energies

NASA Astrophysics Data System (ADS)

Ng, LY.; Alssabbagh, M.; Tajuddin, A. A.; Shuaib, I. L.; Zainon, R.

2017-05-01

The objective of this study was to develop a thresholding method for calcium classification with different concentration using single-energy computed tomography. Five different concentrations of calcium chloride were filled in PMMA tubes and placed inside a water-filled PMMA phantom (diameter 10 cm). The phantom was scanned at 70, 80, 100, 120 and 140 kV using a SECT. CARE DOSE 4D was used and the slice thickness was set to 1 mm for all energies. ImageJ software inspired by the National Institute of Health (NIH) was used to measure the CT numbers for each calcium concentration from the CT images. The results were compared with a developed algorithm for verification. The percentage differences between the measured CT numbers obtained from the developed algorithm and the ImageJ show similar results. The multi-thresholding algorithm was found to be able to distinguish different concentrations of calcium chloride. However, it was unable to detect low concentrations of calcium chloride and iron (III) nitrate with CT numbers between 25 HU and 65 HU. The developed thresholding method used in this study may help to differentiate between calcium plaques and other types of plaques in blood vessels as it is proven to have a good ability to detect the high concentration of the calcium chloride. However, the algorithm needs to be improved to solve the limitations of detecting calcium chloride solution which has a similar CT number with iron (III) nitrate solution.

Structure and Filling Characteristics of Paleokarst Reservoirs in the Northern Tarim Basin, Revealed by Outcrop, Core and Borehole Images

NASA Astrophysics Data System (ADS)

Tian, Fei; Lu, Xinbian; Zheng, Songqing; Zhang, Hongfang; Rong, Yuanshuai; Yang, Debin; Liu, Naigui

2017-06-01

The Ordovician paleokarst reservoirs in the Tahe oilfield, with burial depths of over 5300 m, experienced multiple phases of geologic processes and exhibit strong heterogeneity. Core testing can be used to analyse the characteristics of typical points at the centimetre scale, and seismic datasets can reveal the macroscopic outlines of reservoirs at the >10-m scale. However, neither method can identify caves, cave fills and fractures at the meter scale. Guided by outcrop investigations and calibrations based on core sample observations, this paper describes the interpretation of high longitudinal resolution borehole images, the identification of the characteristics of caves, cave fills (sedimentary, breccia and chemical fills) and fractures in single wells, and the identification of structures and fill characteristics at the meter scale in the strongly heterogeneous paleokarst reservoirs. The paleogeomorphology, a major controlling factor in the distribution of paleokarst reservoirs, was also analysed. The results show that one well can penetrate multiple cave layers of various sizes and that the caves are filled with multiple types of fill. The paleogeomorphology can be divided into highlands, slopes and depressions, which controlled the structure and fill characteristics of the paleokarst reservoirs. The results of this study can provide fundamental meter-scale datasets for interpreting detailed geologic features of deeply buried paleocaves, can be used to connect core- and seismic-scale interpretations, and can provide support for the recognition and development of these strongly heterogeneous reservoirs.

Neuroticism, social network, stressful life events: association with mood disorders, depressive symptoms and suicidal ideation in a community sample of women.

PubMed

Mandelli, Laura; Nearchou, Finiki A; Vaiopoulos, Chrysostomos; Stefanis, Costas N; Vitoratou, Silia; Serretti, Alessandro; Stefanis, Nicholas C

2015-03-30

According to the stress-diathesis hypothesis, depression and suicidal behavior may be precipitated by psychosocial stressors in vulnerable individuals. However, risk factors for mental health are often gender-specific. In the present study, we evaluated common risk factors for female depression in association with depressive symptoms and suicidal ideation in a community sample of women. The sample was composed by 415 women evaluated for mood disorders (MDs), depressive symptoms and suicidal ideation by structured interviews and the Beck depression inventory II (BDI II). All women also filled in the Eysenck personality questionnaire to evaluate neuroticism and were interviewed for social contact frequency and stressful life events (SLEs). In the whole sample, 19% of the women satisfied criteria for MD and suicidal ideation was reported by 12% of the women. Though stressful life events, especially personal and interpersonal problems, and poor social network were associated with all the outcome variables (mood disorder, depressive symptomatology and suicidal ideation), neuroticism survived to all multivariate analyses. Social network, together with neuroticism, also showed strong association with depressive severity, independently from current depressive state. Though we were unable to compare women and men, data obtained from the present study suggest that in women neurotic traits are strongly related to depression and suicidal ideation, and potentially mediate reporting of stressful life events and impaired social network. Independently from a current diagnosis of depression, impaired social network increases depressive symptoms in the women. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Cosmetics, Pets, Politics, and Science Education.

ERIC Educational Resources Information Center

Oliver, J. Steve; Nichols, B. Kim

1999-01-01

Explores the topics and issues that filled this journal during its history. Focuses on the period in U.S. history of 1917 to 1950, a time of two world wars and the Great Depression, and examines how the political and social ideas of the times were reflected in the writings in this journal. (ASK)

Relationships between Psychological Well-Being, Happiness, and Educational Satisfaction in a Group of University Music Students

ERIC Educational Resources Information Center

Demirbatir, Rasim Erol

2015-01-01

Few studies have been conducted on music students' psychological well-being and happiness. The purpose was to assess the psychological well-being, happiness and educational satisfaction among a group of university music students. Students participated voluntarily and filled out a sociodemographic questionnaire, Depression Anxiety Stress Scale…

Parenting Stress, Perceived Child Regard, and Depressive Symptoms among Stepmothers and Biological Mothers

ERIC Educational Resources Information Center

Shapiro, Danielle N.; Stewart, Abigail J.

2011-01-01

Although stepmothering is a common undertaking in American families, little research has investigated the mental health consequences, and their correlates, associated with adopting a stepmother role. To help fill this gap, the current study examines parenting stress and participants' perceptions of their (step)children's regard toward them and the…

Phase II development of a non-proprietary, four-cable, high tension median barrier.

DOT National Transportation Integrated Search

2012-03-21

During the last decade, the use of cable median barriers has risen dramatically. Cable barriers are often utilized in depressed medians : with widths ranging from 30 to 50 ft (9.1 to 15.2 m) and with fill slopes as steep as 4H:1V. A careful review of...

Phase I development of a non-proprietary, four-cable, high tension median barrier.

DOT National Transportation Integrated Search

2011-12-28

During the last decade, the use of cable median barriers has risen dramatically. Cable barriers are often utilized in depressed medians : with widths ranging from 30 to 50 ft (9.1 to 15.2 m) and with fill slopes as steep as 4H:1V. Although cable barr...

The Kids Are "Alwrite"

ERIC Educational Resources Information Center

Gold, David

2005-01-01

Each Fall, the nation's newspapers are filled with laments over the decline in the writing skills of college students. What makes this trend especially depressing is that a good many of the complaints are leveled by those who should know better--writing teachers. Today's students, "don't know how to--or even care to--express their views," churn…

A semi-automated tool for reducing the creation of false closed depressions from a filled LIDAR-derived digital elevation model

USGS Publications Warehouse

Waller, John S.; Doctor, Daniel H.; Terziotti, Silvia

2015-01-01

Closed depressions on the land surface can be identified by ‘filling’ a digital elevation model (DEM) and subtracting the filled model from the original DEM. However, automated methods suffer from artificial ‘dams’ where surface streams cross under bridges and through culverts. Removal of these false depressions from an elevation model is difficult due to the lack of bridge and culvert inventories; thus, another method is needed to breach these artificial dams. Here, we present a semi-automated workflow and toolbox to remove falsely detected closed depressions created by artificial dams in a DEM. The approach finds the intersections between transportation routes (e.g., roads) and streams, and then lowers the elevation surface across the roads to stream level allowing flow to be routed under the road. Once the surface is corrected to match the approximate location of the National Hydrologic Dataset stream lines, the procedure is repeated with sequentially smaller flow accumulation thresholds in order to generate stream lines with less contributing area within the watershed. Through multiple iterations, artificial depressions that may arise due to ephemeral flow paths can also be removed. Preliminary results reveal that this new technique provides significant improvements for flow routing across a DEM and minimizes artifacts within the elevation surface. Slight changes in the stream flow lines generally improve the quality of flow routes; however some artificial dams may persist. Problematic areas include extensive road ditches, particularly along divided highways, and where surface flow crosses beneath road intersections. Limitations do exist, and the results partially depend on the quality of data being input. Of 166 manually identified culverts from a previous study by Doctor and Young in 2013, 125 are within 25 m of culverts identified by this tool. After three iterations, 1,735 culverts were identified and cataloged. The result is a reconditioned elevation dataset, which retains the karst topography for further analysis, and a culvert catalog.

The Patient Health Questionnaire-9 for detection of major depressive disorder in primary care: consequences of current thresholds in a crosssectional study.

PubMed

Zuithoff, Nicolaas P A; Vergouwe, Yvonne; King, Michael; Nazareth, Irwin; van Wezep, Manja J; Moons, Karel G M; Geerlings, Mirjam I

2010-12-13

There is a need for brief instruments to ascertain the diagnosis of major depressive disorder. In this study, we present the reliability, construct validity and accuracy of the PHQ-9 and PHQ-2 to detect major depressive disorder in primary care. Cross-sectional analyses within a large prospective cohort study (PREDICT-NL). Data was collected in seven large general practices in the centre of the Netherlands. 1338 subjects were recruited in the general practice waiting room, irrespective of their presenting complaint. The diagnostic accuracy (the area under the ROC curve and sensitivities and specificities for various thresholds) was calculated against a diagnosis of major depressive disorder determined with the Composite International Diagnostic Interview (CIDI). The PHQ-9 showed a high degree of internal consistency (ICC = 0.88) and test-retest reliability (correlation = 0.94). With respect to construct validity, it showed a clear association with functional status measurements, sick days and number of consultations. The discriminative ability was good for the PHQ-9 (area under the ROC curve = 0.87, 95% CI: 0.84-0.90) and the PHQ-2 (ROC area = 0.83, 95% CI 0.80-0.87). Sensitivities at the recommended thresholds were 0.49 for the PHQ-9 at a score of 10 and 0.28 for a categorical algorithm. Adjustment of the threshold and the algorithm improved sensitivities to 0.82 and 0.84 respectively but the specificity decreased from 0.95 to 0.82 (threshold) and from 0.98 to 0.81 (algorithm). Similar results were found for the PHQ-2: the recommended threshold of 3 had a sensitivity of 0.42 and lowering the threshold resulted in an improved sensitivity of 0.81. The PHQ-9 and the PHQ-2 are useful instruments to detect major depressive disorder in primary care, provided a high score is followed by an additional diagnostic work-up. However, often recommended thresholds for the PHQ-9 and the PHQ-2 resulted in many undetected major depressive disorders.

A study on level of physical activity, depression, anxiety and stress symptoms among adolescents.

PubMed

Tajik, Esra; Abd Latiff, Latiffah; Adznam, Siti N; Awang, Hamidin; Yit Siew, Chin; Abu Bakar, Azrin S

2017-10-01

Inadequate physical activity has adverse health consequences among adolescents. Mental health problem can be developed by lack of physical activity however it is controversial. The current study aimed to examine the association between level of physical activity with depression, anxiety and stress symptoms among adolescents. A representative sample of 1747 adolescents (13-14 years) was randomly selected from 6 schools in a south part of Malaysia. Respondents were asked to fill consent form, and questionnaires including Depression Anxiety and Stress Scale-21 and Physical Activity Questionnaire for Adolescents. Majority of respondents (71.9%) was Malay and more than half of the adolescents had low physical activity. About 40% had depression symptoms, followed by anxiety symptoms (65.9%) and stress symptoms (38.5%). Level of physical activity was significantly associated with gender, anxiety and stress (P<0.001). There were no associations with race, religion and depression symptom. This study provides some evidence among school-going adolescents related to anxiety and stress symptoms and low physical activities. Further studies are needed to show the protection effects of higher physical activity for depression, anxiety and stress symptoms in adolescents.

Depression Trajectories of Antenatally Depressed and Nondepressed Young Mothers: Implications for Child Socioemotional Development.

PubMed

Raskin, Maryna; Easterbrooks, M Ann; Lamoreau, Renee S; Kotake, Chie; Goldberg, Jessica

2016-01-01

This study explores the longitudinal trajectories of depressive symptoms in young mothers and investigate the consequences of maternal depression for children's birth outcomes and behavioral adjustment. Antenatal depression puts children of young mothers at risk for adjustment difficulties by adversely impacting birth outcomes and maternal symptoms after birth. Data were drawn from a three-wave randomized, controlled trial of a statewide home visiting program for young primiparous women. A subsample of women (n = 400) who were prenatal at intake was used in the analysis. Mothers were divided into an antenatally depressed group (ADG; 40%) and a healthy group (HG) based on their symptoms at intake. Mothers reported depressive symptoms at intake and 12- and 24-month follow-up, and filled out a checklist of child behavior problems at 24 months follow-up. Perinatal and birth outcomes were derived from the Electronic Birth Certificate collected by the State Department of Public Health at discharge from the hospital. ADG and HG had similar pregnancy characteristics and birth outcomes, but ADG reported more child behavioral problems. Multigroup latent growth curve analysis provided evidence for distinct depression trajectories. A mediation hypothesis was not supported. In both groups, steeper increase in symptoms over time predicted more mother-reported child behavioral problems. Findings are consistent with studies linking antenatal depression with post-birth symptoms, underscoring the importance of prenatal screening for depression. Copyright © 2016 Jacobs Institute of Women's Health. Published by Elsevier Inc. All rights reserved.

Genetic and Environmental Influences on Parent-Child Conflict and Child Depression Through Late Adolescence.

PubMed

Samek, Diana R; Wilson, Sylia; McGue, Matt; Iacono, William G

2016-04-04

Few studies have investigated potential gender differences in the genetic and environmental influences on the prospective associations between parent-child conflict and later depression, a notable gap given substantial gender differences in rates of depression and suggestive evidence of differences in the etiology of depression among females and males. To fill this gap, we evaluated whether the prospective relationship between parent-child conflict and major depressive disorder symptoms varied as a function of parent-child gender composition. A combined twin and adoption sample was used (53% female; 85% European ancestry), containing 1,627 adolescent sibling pairs (789 monozygotic twin pairs, 594 dizygotic/full-biological pairs, 244 genetically unrelated pairs) with assessments at two time points in adolescence (approximate ages 15 and 18). Prospective associations between parent-child conflict and subsequent adolescent depression were explained predominately through common genetic influences for mother-daughter and mother-son pairs but less so for father-daughter and father-son pairs. Results support the notion that processes of gene-environment correlation involved in the prospective associations between parent-child conflict, and later adolescent depression appear to be less relevant to father-child relationships in comparison to mother-child relationships. Notably, results did not show that parent-child conflict was more relevant to the etiology of major depressive disorder (MDD) for girls than boys; gender differences in depression do not appear to be due to differences in the associations between parent-child conflict and child depression.

Influences on loneliness, depression, sexual-risk behaviour and suicidal ideation among Thai transgender youth.

PubMed

Yadegarfard, Mohammadrasool; Ho, Robert; Bahramabadian, Fatemeh

2013-01-01

This study examined the influence of age, education level and number of sex partners on levels of loneliness, depression, suicidal ideation and sexual-risk behaviour in Thai male-to-female transgender youth. A total of 190 participants filled in the study's questionnaire, designed to tap the primary variables of age, level of education, number of sex partners, loneliness, depression, suicidal ideation and sexual-risk behaviour. Results reveal that level of education has a significant influence on depression and loneliness, the number of sex partners has a significant influence on sexual-risk behaviour and suicidal ideation and age has a significant influence on sexual-risk behaviour and suicidal ideation. Participants with higher levels of education reported more loneliness than participants who did not graduate from high school. In addition, participants who did not graduate from high school reported more depression than participants with some university credit. Furthermore, participants aged 15 to 19 years, compared with those of 20 to 25 years, reported higher level of sexual-risk behaviour and higher levels of suicidal ideation.

Vitamin D, parathyroid hormone, serum calcium and phosphorus in patients with schizophrenia and major depression.

PubMed

Jamilian, Hamidreza; Bagherzadeh, Kamran; Nazeri, Zeinab; Hassanijirdehi, Marzieh

2013-02-01

Vitamin D deficiency has been associated with an increased risk of depression and schizophrenia. The aim was to compare serum levels of vitamin D, calcium, phosphorus and parathyroid hormone in schizophrenics, depressed patients and healthy subjects in an Iranian population. In a cross-sectional study, 100 patients with schizophrenia and 100 with major depression were enrolled. A questionnaire was filled by using medical records of patients. After that a serum sample was taken and levels of vitamin D, calcium, phosphorus and parathyroid hormone were assessed and then compared between the three groups. Post-hoc analysis of Tukey showed that vitamin D level in healthy participants was significantly higher than depressed patients and schizophrenics while there was no significant difference between vitamin D level in depressed and schizophrenic patients. The findings suggest that vitamin D affects the brain independent of hormonal pathways which regulate serum level of calcium. Non-significant difference in the serum level of vitamin D between the schizophrenics and the depressed patients suggests that the independent effect of vitamin D in brain is a general effect and is not specialized to a specific region or pathway in the brain; however, differences between psychiatric and non-psychiatric patients might be resulted from differences in psychosocial backgrounds.

Prevalence of depressive symptoms and associated developmental disorders in preschool children: a population-based study.

PubMed

Fuhrmann, Pia; Equit, Monika; Schmidt, Karin; von Gontard, Alexander

2014-04-01

Depression is an incapacitating disorder, which is often overlooked in preschool children. The aim of this study was to analyse the prevalence of depressive symptoms and co-occurring risk factors in a large, population-based sample of preschool children. All 653 children (of a total of 731) in a defined geographical area were assessed during the school-entry exam by community care paediatricians. In addition to clinical appraisal, parents filled out the Preschool Feelings Checklist, a 16-item screening instrument with good psychometric properties. The mean age was 6.2 years (range 5.0-7.6 years) and the sample included 344 boys and 305 girls. The prevalence of depressive symptoms of clinical relevance (total score ≥3) was 5.7% (37). There were no differences between boys and girls, and between younger (<6 years) and older (>6 years) children. Depressive symptoms were associated with parental separation and comorbid behavioural problems, but especially with developmental motor and speech problems and disorders. Migration to Germany had no influence. Depressive symptoms are common in preschool children and associated with developmental problems. Depression should be considered in children with speech and motor problems who are at special risk. Early detection and treatment are recommended.

Training to use motivational interviewing techniques for depression: a cluster randomized trial.

PubMed

Keeley, Robert D; Burke, Brian L; Brody, David; Dimidjian, Sona; Engel, Matthew; Emsermann, Caroline; deGruy, Frank; Thomas, Marshall; Moralez, Ernesto; Koester, Steve; Kaplan, Jessica

2014-01-01

The goal of this study was to assess the effects of training primary care providers (PCPs) to use Motivational Interviewing (MI) when treating depressed patients on providers' MI performance and patients' expressions of interest in depression treatment ("change talk") and short-term treatment adherence. This was a cluster randomized trial in urban primary care clinics (3 intervention, 4 control). We recruited 21 PCPs (10 intervention, 11 control) and 171 English-speaking patients with newly diagnosed depression (85 intervention, 86 control). MI training included a baseline and up to 2 refresher classroom trainings, along with feedback on audiotaped patient encounters. We report summary measures of technical (rate of MI-consistent statements per 10 minutes during encounters) and relational (global rating of "MI Spirit") MI performance, the association between MI performance and number of MI trainings attended (0, 1, 2, or 3), and rates of patient change talk regarding depression treatments (physical activity, antidepressant medication). We report PCP use of physical activity recommendations and antidepressant prescriptions and patients' short-term physical activity level and prescription fill rates. Use of MI-consistent statements was 26% higher for MI-trained versus control PCPs (P = .005). PCPs attending all 3 MI trainings (n = 6) had 38% higher use of MI-consistent statements (P < .001) and were over 5 times more likely to show beginning proficiency in MI Spirit (P = .036) relative to control PCPs. Although PCPs' use of physical activity recommendations and antidepressant prescriptions was not significantly different by randomization arm, patients seen by MI-trained PCPs had more frequent change talk (P = .001). Patients of MI-trained PCPs also expressed change talk about physical activity 3 times more frequently (P = .01) and reported more physical activity (3.05 vs 1.84 days in the week after the visit; P = .007) than their counterparts visiting untrained PCPs. Change talk about antidepressant medication and fill rates were similar by randomization arm (P > .05 for both). MI training resulted in improved MI performance, more depression-related patient change talk, and better short-term adherence. © Copyright 2014 by the American Board of Family Medicine.

High-order finite-volume solutions of the steady-state advection-diffusion equation with nonlinear Robin boundary conditions

NASA Astrophysics Data System (ADS)

Lin, Zhi; Zhang, Qinghai

2017-09-01

We propose high-order finite-volume schemes for numerically solving the steady-state advection-diffusion equation with nonlinear Robin boundary conditions. Although the original motivation comes from a mathematical model of blood clotting, the nonlinear boundary conditions may also apply to other scientific problems. The main contribution of this work is a generic algorithm for generating third-order, fourth-order, and even higher-order explicit ghost-filling formulas to enforce nonlinear Robin boundary conditions in multiple dimensions. Under the framework of finite volume methods, this appears to be the first algorithm of its kind. Numerical experiments on boundary value problems show that the proposed fourth-order formula can be much more accurate and efficient than a simple second-order formula. Furthermore, the proposed ghost-filling formulas may also be useful for solving other partial differential equations.

Efficient prediction designs for random fields.

PubMed

Müller, Werner G; Pronzato, Luc; Rendas, Joao; Waldl, Helmut

2015-03-01

For estimation and predictions of random fields, it is increasingly acknowledged that the kriging variance may be a poor representative of true uncertainty. Experimental designs based on more elaborate criteria that are appropriate for empirical kriging (EK) are then often non-space-filling and very costly to determine. In this paper, we investigate the possibility of using a compound criterion inspired by an equivalence theorem type relation to build designs quasi-optimal for the EK variance when space-filling designs become unsuitable. Two algorithms are proposed, one relying on stochastic optimization to explicitly identify the Pareto front, whereas the second uses the surrogate criteria as local heuristic to choose the points at which the (costly) true EK variance is effectively computed. We illustrate the performance of the algorithms presented on both a simple simulated example and a real oceanographic dataset. © 2014 The Authors. Applied Stochastic Models in Business and Industry published by John Wiley & Sons, Ltd.

A depth enhancement strategy for kinect depth image

NASA Astrophysics Data System (ADS)

Quan, Wei; Li, Hua; Han, Cheng; Xue, Yaohong; Zhang, Chao; Hu, Hanping; Jiang, Zhengang

2018-03-01

Kinect is a motion sensing input device which is widely used in computer vision and other related fields. However, there are many inaccurate depth data in Kinect depth images even Kinect v2. In this paper, an algorithm is proposed to enhance Kinect v2 depth images. According to the principle of its depth measuring, the foreground and the background are considered separately. As to the background, the holes are filled according to the depth data in the neighborhood. And as to the foreground, a filling algorithm, based on the color image concerning about both space and color information, is proposed. An adaptive joint bilateral filtering method is used to reduce noise. Experimental results show that the processed depth images have clean background and clear edges. The results are better than ones of traditional Strategies. It can be applied in 3D reconstruction fields to pretreat depth image in real time and obtain accurate results.

Marital Dissolution and Major Depression in Midlife: A Propensity Score Analysis.

PubMed

Sbarra, David A; Emery, Robert E; Beam, Christopher R; Ocker, Bailey L

2014-05-01

Marital dissolution is commonly assumed to cause increased depression among adults, but causality can be questioned based on directionality and third variable concerns. The present study improves upon past research by using a propensity score matching algorithm to identify a sub-sample of continuously married participants equivalent in divorce risk to participants who actually experienced separation/divorce between two waves of the nationally representative study, Midlife Development in the United States (MIDUS). After correcting for participants' propensity to separate/divorce, increased rates of depression at the second assessment were observed only among participants who were (a) depressed at the initial assessment, and (b) experienced a separation/divorce. Participants who were not depressed at the initial assessment but who experienced a separation/divorce were not at increased risk for a later major depressive disorder (MDE). Thus, both social selection and social causation contribute to the increased risk for a MDE found among separated/divorced adults.

WE-E-213CD-01: Best in Physics (Joint Imaging-Therapy) - Evaluation of Deformation Algorithm Accuracy with a Two-Dimensional Anatomical Pelvic Phantom.

PubMed

Kirby, N; Chuang, C; Pouliot, J

2012-06-01

To objectively evaluate the accuracy of 11 different deformable registration techniques for bladder filling. The phantom represents an axial plane of the pelvic anatomy. Urethane plastic serves as the bony anatomy and urethane rubber with three levels of Hounsfield units (HU) is used to represent fat and organs, including the prostate. A plastic insert is placed into the phantom to simulate bladder filling. Nonradiopaque markers reside on the phantom surface. Optical camera images of these markers are used to measure the positions and determine the deformation from the bladder insert. Eleven different deformable registration techniques are applied to the full- and empty-bladder computed tomography images of the phantom to calculate the deformation. The applied algorithms include those from MIMVista Software and Velocity Medical Solutions and 9 different implementations from the Deformable Image Registration and Adaptive Radiotherapy Toolbox for Matlab. The distance to agreement between the measured and calculated deformations is used to evaluate algorithm error. Deformable registration warps one image to make it similar to another. The root-mean-square (RMS) difference between the HUs at the marker locations on the empty-bladder phantom and those at the calculated marker locations on the full-bladder phantom is used as a metric for image similarity. The percentage of the markers with an error larger than 3 mm ranges from 3.1% to 28.2% with the different registration techniques. This range is 1.1% to 3.7% for a 7 mm error. The least accurate algorithm at 3 mm is also the most accurate at 7 mm. Also, the least accurate algorithm at 7 mm produces the lowest RMS difference. Different deformation algorithms generate very different results and the outcome of any one algorithm can be misleading. Thus, these algorithms require quality assurance. The two-dimensional phantom is an objective tool for this purpose. © 2012 American Association of Physicists in Medicine.

The psychopharmacology algorithm project at the Harvard South Shore Program: an algorithm for acute mania.

PubMed

Mohammad, Othman; Osser, David N

2014-01-01

This new algorithm for the pharmacotherapy of acute mania was developed by the Psychopharmacology Algorithm Project at the Harvard South Shore Program. The authors conducted a literature search in PubMed and reviewed key studies, other algorithms and guidelines, and their references. Treatments were prioritized considering three main considerations: (1) effectiveness in treating the current episode, (2) preventing potential relapses to depression, and (3) minimizing side effects over the short and long term. The algorithm presupposes that clinicians have made an accurate diagnosis, decided how to manage contributing medical causes (including substance misuse), discontinued antidepressants, and considered the patient's childbearing potential. We propose different algorithms for mixed and nonmixed mania. Patients with mixed mania may be treated first with a second-generation antipsychotic, of which the first choice is quetiapine because of its greater efficacy for depressive symptoms and episodes in bipolar disorder. Valproate and then either lithium or carbamazepine may be added. For nonmixed mania, lithium is the first-line recommendation. A second-generation antipsychotic can be added. Again, quetiapine is favored, but if quetiapine is unacceptable, risperidone is the next choice. Olanzapine is not considered a first-line treatment due to its long-term side effects, but it could be second-line. If the patient, whether mixed or nonmixed, is still refractory to the above medications, then depending on what has already been tried, consider carbamazepine, haloperidol, olanzapine, risperidone, and valproate first tier; aripiprazole, asenapine, and ziprasidone second tier; and clozapine third tier (because of its weaker evidence base and greater side effects). Electroconvulsive therapy may be considered at any point in the algorithm if the patient has a history of positive response or is intolerant of medications.

Anxiety and depression in women and men from early pregnancy to 3-months postpartum.

PubMed

Figueiredo, Bárbara; Conde, Ana

2011-06-01

To investigate high-anxiety and depression in women and men from early pregnancy to 3-months postpartum, 260 Portuguese couples (N = 520) filled in the State-Anxiety Inventory (STAI-S) and the Edinburgh Post-Natal Depression Scale (EPDS) at the first, second, and third pregnancy trimesters, childbirth, and 3-months postpartum. Rates for high-anxiety (STAI-S ≥ 45) in women (13.1%; 12.2%; 18.2%; 18.6%; 4.7%) and men (10.1%; 8.0%, 7.8%; 8.5%; 4.4%) and for depression (EPDS ≥ 10) in women (20.0%, 19.6%, 17.4%, 17.6%; 11.1%) and men (11.3%; 6.6%; 5.5%; 7.5%; 7.2%) were high. Rates for depression were higher than rates for high-anxiety only in women during early pregnancy and the postpartum, but not at the third pregnancy trimester and childbirth. Rates for high-anxiety and depression were higher in women than in men during pregnancy/childbirth, but not at 3-months postpartum. Rates for high-anxiety but not rates for depression were higher during pregnancy/childbirth compared to 3-months postpartum and only in women. Considering that 15.9% of the parents-to-be were highly anxious and/or depressed during pregnancy-comparing to 9.3% at 3-months postpartum-particular attention should be drawn to both women's and men's mental health early in pregnancy.

Reciprocal prospective associations between depressive symptoms and perceived relationship with parents in early adolescence.

PubMed

Brière, Frédéric N; Archambault, Kim; Janosz, Michel

2013-03-01

Adolescent depressive symptoms are associated with difficult family relationships. Family systems and interpersonal theories of depression suggest that this association could reflect a circular process in which symptoms and family functioning affect each other over time. Few longitudinal studies have tested this hypothesis, and the results of these studies have been equivocal. In this study, we examine reciprocal prospective associations in early adolescence between depressive symptoms and 2 important aspects of parent-child relationships: communication and conflict. Participants were 3862 students who annually filled out self-reports. Path analysis was used to examine prospective associations between depressive symptoms and perceived communication and conflict with parents from the age of 12 to 13 and 14 to 15 years. Independence of these associations was assessed by controlling for family context (parental separation and family socioeconomic status) and adolescent behaviour problems (delinquent behaviours and substance use). Sex differences were evaluated with multiple group analysis. Reciprocal prospective associations were found between depressive symptoms and perceived conflict with parents, but not between depressive symptoms and communication with parents. Depressive symptoms were found to predict poorer communication with parents over time, but communication was not predictive of lower depressive symptoms in subsequent years. All paths were sex-invariant and independent from family context and behaviour problems. This study highlights the importance of considering the potential impact of adolescent symptomatology on parent-child relationships and suggests that reciprocity may characterize the association between depressive symptoms and negative aspects of parent-child relationships. The role of adolescent perceptions in the interplay between depressive symptoms and family relationships remains to be clarified.

Correlates of postpartum depression in first time mothers without previous psychiatric contact.

PubMed

Sylvén, S M; Thomopoulos, T P; Kollia, N; Jonsson, M; Skalkidou, A

2017-02-01

Postpartum depression (PPD) is a common disorder after childbirth. The strongest known predictors are a history of depression and/or a history of PPD. However, for a significant proportion of women, PPD constitutes their first depressive episode. This study aimed to gain further insight into the risk factors for PPD in first time mothers without previous psychiatric contact. Women delivering in Uppsala University Hospital, Sweden, from May 2006 to June 2007, were asked to participate and filled out questionnaires five days and six weeks postpartum, containing inter alia the Edinburgh Postnatal Depression Scale (EPDS). Univariate logistic regression models, as well as a path analysis, were performed to unveil the complex interplay between the study variables. Of the 653 participating primiparas, 10.3% and 6.4% reported depressive symptoms (EPDS≥12 points) five days and six weeks postpartum, respectively. In the path analysis, a positive association between anxiety proneness and depressive symptoms at five days and six weeks postpartum was identified. For depressive symptoms six weeks after delivery, additional risk factors were detected, namely depressive symptoms five days postpartum and subjective experience of problems with the baby. Caesarean section and assisted vaginal delivery were associated with fewer depressive symptoms at 6 six weeks postpartum. Identification of anxiety proneness, delivery mode and problems with the baby as risk factors for self-reported depressive symptoms postpartum in this group of primiparas can be important in helping health care professionals identify women at increased risk of affective disorders in the perinatal period, and provide a base for early intervention. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

Bully victimization and emotional problems in adolescents:moderation by specific cognitive coping strategies?

PubMed

Garnefski, Nadia; Kraaij, Vivian

2014-10-01

Relationships between bully victimization and symptoms of depression/anxiety were examined. In addition, it was studied whether this relationship was moderated by specific cognitive coping strategies. Participants were 582 secondary school students who filled out online self-report questionnaires on bully victimization, cognitive coping, and depression/anxiety. (Moderated) Multiple Regression analysis was performed. Strong relationships were found between bully victimization and symptoms of depression and anxiety. On top of that, two cognitive coping strategies moderated the relationship between bullying and depression, i.e. rumination (strengthening) and positive refocusing (reducing). Cognitive coping strategies that moderated the effect of bullying on anxiety symptoms were rumination, catastrophizing (strengthening) and positive reappraisal (reducing). The results provide possible targets for intervention: when helping adolescents who have been bullied, maladaptive cognitive coping strategies could be assessed and challenged, while more adaptive strategies could be acquired. Copyright © 2014 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Observing the determinants of the psychotherapeutic process in depressive disorders. A clinical case study within a psychodynamic approach.

PubMed

Oasi, Osmano

2015-01-01

This paper focuses on the relationship between depressive disorders, personality configurations, and mental functioning. A one-year treatment of a young man with the diagnosis of Depression is presented: the clinical and empirical points of view are described in depth through an assessment at the beginning and at one year after of an oriented psychodynamic psychotherapy. SCID I and II and HAMRS were administered to the patient in assessment phase. In the same phase he filled in BDI-II, and DEQ; the psychotherapist completed SWAP-200. These clinician instruments were used again after 1 year of the treatment. The PDM point of view is also presented. All sessions are audiotaped: 12 verbatim transcripts were coded with the Defense Mechanisms Rating Scale and CCRT. The results show a decrease in depressive symptoms, a change in some personality configurations, but a substantial invariance of the introjective profile, and a modification in mental functioning.

Natural speech algorithm applied to baseline interview data can predict which patients will respond to psilocybin for treatment-resistant depression.

PubMed

Carrillo, Facundo; Sigman, Mariano; Fernández Slezak, Diego; Ashton, Philip; Fitzgerald, Lily; Stroud, Jack; Nutt, David J; Carhart-Harris, Robin L

2018-04-01

Natural speech analytics has seen some improvements over recent years, and this has opened a window for objective and quantitative diagnosis in psychiatry. Here, we used a machine learning algorithm applied to natural speech to ask whether language properties measured before psilocybin for treatment-resistant can predict for which patients it will be effective and for which it will not. A baseline autobiographical memory interview was conducted and transcribed. Patients with treatment-resistant depression received 2 doses of psilocybin, 10 mg and 25 mg, 7 days apart. Psychological support was provided before, during and after all dosing sessions. Quantitative speech measures were applied to the interview data from 17 patients and 18 untreated age-matched healthy control subjects. A machine learning algorithm was used to classify between controls and patients and predict treatment response. Speech analytics and machine learning successfully differentiated depressed patients from healthy controls and identified treatment responders from non-responders with a significant level of 85% of accuracy (75% precision). Automatic natural language analysis was used to predict effective response to treatment with psilocybin, suggesting that these tools offer a highly cost-effective facility for screening individuals for treatment suitability and sensitivity. The sample size was small and replication is required to strengthen inferences on these results. Copyright © 2018 Elsevier B.V. All rights reserved.

Filling of Cloud-Induced Gaps for Land Use and Land Cover Classifications Around Refugee Camps

NASA Astrophysics Data System (ADS)

Braun, Andreas; Hagensieker, Ron; Hochschild, Volker

2016-08-01

Clouds cover is one of the main constraints in the field of optical remote sensing. Especially the use of multispectral imagery is affected by either fully obscured data or parts of the image which remain unusable. This study compares four algorithms for the filling of cloud induced gaps in classified land cover products based on Markov Random Fields (MRF), Random Forest (RF), Closest Spectral Fit (CSF) operators. They are tested on a classified image of Sentinel-2 where artificial clouds are filled by information derived from a scene of Sentinel-1. The approaches rely on different mathematical principles and therefore produced results varying in both pattern and quality. Overall accuracies for the filled areas range from 57 to 64 %. Best results are achieved by CSF, however some classes (e.g. sands and grassland) remain critical through all approaches.

[Delayed endoscopic reconstruction of the anterior wall of the frontal sinus: Technical note].

PubMed

Mommers, X-A; Zwetyenga, N; Meningaud, J-P

2015-11-01

Reconstruction of the anterior wall of the frontal sinus usually requires a coronal incision. This extended approach may lead to paresthesia, unsightly scars, bruises and cicatricial alopecia. These complications encouraged several authors to endoscopic management of this kind of fractures. We present a delayed technique of reconstruction of the anterior wall of the frontal sinus by means of endoscopic hydroxyapatite filling. Two incisions were performed behind the hair line. Subperiosteal dissection using a periosteal elevator was performed. A 30° angled endoscope was used to visualize the depression. The latter was filled by Hydroset® (Stryker, USA) as a bone substitute. In the absence of contra-indication, the reconstruction of the anterior wall of the frontal sinus by means of endoscopic hydroxyapatite filling has many advantages including uneventful outcome, reduction of the hospital stay and a fast learning curve. Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Genetic and Environmental Influences on Parent-Child Conflict and Child Depression Through Late Adolescence

PubMed Central

Samek, Diana R.; Wilson, Sylia; McGue, Matt; Iacono, William G.

2016-01-01

Objective Few studies have investigated potential gender differences in the genetic and environmental influences on the prospective associations between parent-child conflict and later depression, a notable gap given substantial gender differences in rates of depression and suggestive evidence of differences in the etiology of depression among females and males. To fill this gap, we evaluated whether the prospective relationship between parent-child conflict and major depressive disorder (MDD) symptoms varied as a function of parent-child gender composition. Method A combined twin and adoption sample was used (53% female; 85% European ancestry), containing 1,627 adolescent sibling pairs (789 monozygotic twin pairs, 594 dizygotic/full-biological pairs, 244 genetically unrelated pairs) with assessments at two time points in adolescence (ages ~15 to ~18). Results Prospective associations between parent-child conflict and subsequent adolescent depression were explained predominately through common genetic influences for mother-daughter and mother-son pairs, but less so for father-daughter and father-son pairs. Conclusion Processes of gene-environment correlation involved in the prospective associations between parent-child conflict and later adolescent depression appear to be less relevant to father-child relationships in comparison to mother-child relationships. Notably, results did not show parent-child conflict was more relevant to the etiology of MDD for girls than boys; gender differences in depression do not appear to be due to differences in the associations between parent-child conflict and child depression. PMID:27043719

Observer Evaluation of a Metal Artifact Reduction Algorithm Applied to Head and Neck Cone Beam Computed Tomographic Images

DOE Office of Scientific and Technical Information (OSTI.GOV)

Korpics, Mark; Surucu, Murat; Mescioglu, Ibrahim

Purpose and Objectives: To quantify, through an observer study, the reduction in metal artifacts on cone beam computed tomographic (CBCT) images using a projection-interpolation algorithm, on images containing metal artifacts from dental fillings and implants in patients treated for head and neck (H&N) cancer. Methods and Materials: An interpolation-substitution algorithm was applied to H&N CBCT images containing metal artifacts from dental fillings and implants. Image quality with respect to metal artifacts was evaluated subjectively and objectively. First, 6 independent radiation oncologists were asked to rank randomly sorted blinded images (before and after metal artifact reduction) using a 5-point rating scalemore » (1 = severe artifacts; 5 = no artifacts). Second, the standard deviation of different regions of interest (ROI) within each image was calculated and compared with the mean rating scores. Results: The interpolation-substitution technique successfully reduced metal artifacts in 70% of the cases. From a total of 60 images from 15 H&N cancer patients undergoing image guided radiation therapy, the mean rating score on the uncorrected images was 2.3 ± 1.1, versus 3.3 ± 1.0 for the corrected images. The mean difference in ranking score between uncorrected and corrected images was 1.0 (95% confidence interval: 0.9-1.2, P<.05). The standard deviation of each ROI significantly decreased after artifact reduction (P<.01). Moreover, a negative correlation between the mean rating score for each image and the standard deviation of the oral cavity and bilateral cheeks was observed. Conclusion: The interpolation-substitution algorithm is efficient and effective for reducing metal artifacts caused by dental fillings and implants on CBCT images, as demonstrated by the statistically significant increase in observer image quality ranking and by the decrease in ROI standard deviation between uncorrected and corrected images.« less

DOE Office of Scientific and Technical Information (OSTI.GOV)

Chen, Chao; Pouransari, Hadi; Rajamanickam, Sivasankaran

We present a parallel hierarchical solver for general sparse linear systems on distributed-memory machines. For large-scale problems, this fully algebraic algorithm is faster and more memory-efficient than sparse direct solvers because it exploits the low-rank structure of fill-in blocks. Depending on the accuracy of low-rank approximations, the hierarchical solver can be used either as a direct solver or as a preconditioner. The parallel algorithm is based on data decomposition and requires only local communication for updating boundary data on every processor. Moreover, the computation-to-communication ratio of the parallel algorithm is approximately the volume-to-surface-area ratio of the subdomain owned by everymore » processor. We also provide various numerical results to demonstrate the versatility and scalability of the parallel algorithm.« less

Evaluation of a non-proprietary, high-tension, four-cable median barrier on level terrain.

DOT National Transportation Integrated Search

2012-11-01

During the last decade, the use of cable median barriers has risen dramatically. Cable barriers are often utilized in depressed medians : with widths ranging from 30 to 50 ft (9.1 to 15.2 m) and with fill slopes as steep as 4H:1V. A careful review of...

Canopy temperature depression at grain filling correlates to winter wheat yield in the U.S. southern high plains

USDA-ARS?s Scientific Manuscript database

Wheat breeding has improved drought tolerance over the years. However, our knowledge on drought tolerance in relation to the canopy temperature (CT) and grain yield is limited. A three-season wheat field study ending 2012, 2015, and 2016 was conducted at Bushland, Texas to investigate the relationsh...

Scale effect on overland flow connectivity at the plot scale

NASA Astrophysics Data System (ADS)

Peñuela, A.; Javaux, M.; Bielders, C. L.

2012-06-01

A major challenge in present-day hydrological sciences is to enhance the performance of existing distributed hydrological models through a better description of subgrid processes, in particular the subgrid connectivity of flow paths. The relative surface connection function (RSC) was proposed by Antoine et al. (2009) as a functional indicator of runoff flow connectivity. For a given area, it expresses the percentage of the surface connected to the outflow boundary (C) as a function of the degree of filling of the depression storage. This function explicitly integrates the flow network at the soil surface and hence provides essential information regarding the flow paths' connectivity. It has been shown that this function could help improve the modeling of the hydrogram at the square meter scale, yet it is unknown how the scale affects the RSC function, and whether and how it can be extrapolated to other scales. The main objective of this research is to study the scale effect on overland flow connectivity (RSC function). For this purpose, digital elevation data of a real field (9 × 3 m) and three synthetic fields (6 × 6 m) with contrasting hydrological responses were used, and the RSC function was calculated at different scales by changing the length (l) or width (w) of the field. Border effects, at different extents depending on the microtopography, were observed for the smaller scales, when decreasing l or w, which resulted in a strong decrease or increase of the maximum depression storage, respectively. There was no scale effect on the RSC function when changing w. On the contrary, a remarkable scale effect was observed in the RSC function when changing l. In general, for a given degree of filling of the depression storage, C decreased as l increased. This change in C was inversely proportional to the change in l. This observation applied only up to approx. 50-70% (depending on the hydrological response of the field) of filling of depression storage, after which no correlation was found between C and l. The results of this study help identify the minimal scale to study overland flow connectivity. At scales larger than the minimal scale, the RSC function showed a great potential to be extrapolated to other scales.

Scale effect on overland flow connectivity at the plot scale

NASA Astrophysics Data System (ADS)

Peñuela, A.; Javaux, M.; Bielders, C. L.

2013-01-01

A major challenge in present-day hydrological sciences is to enhance the performance of existing distributed hydrological models through a better description of subgrid processes, in particular the subgrid connectivity of flow paths. The Relative Surface Connection (RSC) function was proposed by Antoine et al. (2009) as a functional indicator of runoff flow connectivity. For a given area, it expresses the percentage of the surface connected to the outflow boundary (C) as a function of the degree of filling of the depression storage. This function explicitly integrates the flow network at the soil surface and hence provides essential information regarding the flow paths' connectivity. It has been shown that this function could help improve the modeling of the hydrograph at the square meter scale, yet it is unknown how the scale affects the RSC function, and whether and how it can be extrapolated to other scales. The main objective of this research is to study the scale effect on overland flow connectivity (RSC function). For this purpose, digital elevation data of a real field (9 × 3 m) and three synthetic fields (6 × 6 m) with contrasting hydrological responses were used, and the RSC function was calculated at different scales by changing the length (l) or width (w) of the field. To different extents depending on the microtopography, border effects were observed for the smaller scales when decreasing l or w, which resulted in a strong decrease or increase of the maximum depression storage, respectively. There was no scale effect on the RSC function when changing w, but a remarkable scale effect was observed in the RSC function when changing l. In general, for a given degree of filling of the depression storage, C decreased as l increased, the change in C being inversely proportional to the change in l. However, this observation applied only up to approx. 50-70% (depending on the hydrological response of the field) of filling of depression storage, after which no correlation was found between C and l. The results of this study help identify the minimal scale to study overland flow connectivity. At scales larger than the minimal scale, the RSC function showed a great potential to be extrapolated to other scales.

Maternal depressive symptoms during and after pregnancy are associated with attention-deficit/hyperactivity disorder symptoms in their 3- to 6-year-old children

PubMed Central

Lahti, Marius; Tuovinen, Soile; Lahti, Jari; Lipsanen, Jari; Savolainen, Katri; Heinonen, Kati; Hämäläinen, Esa; Kajantie, Eero; Pesonen, Anu-Katriina; Villa, Pia M.; Laivuori, Hannele; Reynolds, Rebecca M.; Räikkönen, Katri

2017-01-01

Maternal depressive symptoms during pregnancy have been associated with child behavioural symptoms of attention-deficit/hyperactivity disorder (ADHD) in early childhood. However, it remains unclear if depressive symptoms throughout pregnancy are more harmful to the child than depressive symptoms only during certain times, and if maternal depressive symptoms after pregnancy add to or mediate any prenatal effects. 1,779 mother-child dyads participated in the Prediction and Prevention of Pre-eclampsia and Intrauterine Growth Restriction (PREDO) study. Mothers filled in the Center of Epidemiological Studies Depression Scale biweekly from 12+0–13+6 to 38+0–39+6 weeks+days of gestation or delivery, and the Beck Depression Inventory-II and the Conners’ Hyperactivity Index at the child’s age of 3 to 6 years (mean 3.8 years, standard deviation [SD] 0.5). Maternal depressive symptoms were highly stable throughout pregnancy, and children of mothers with consistently high depressive symptoms showed higher average levels (mean difference = 0.46 SD units, 95% Confidence Interval [CI] 0.36, 0.56, p < 0.001 compared to the low group), and proportion (32.1% vs. 14.7%) and odds (odds ratio = 2.80, 95% CI 2.20, 3.57, p < 0.001) of clinically significant ADHD symptoms. These associations were not explained by the effects of maternal depressive symptoms after pregnancy, which both added to and partially mediated the prenatal effects. Maternal depressive symptoms throughout pregnancy are associated with increased ADHD symptomatology in young children. Maternal depressive symptoms after pregnancy add to, but only partially mediate, the prenatal effects. Preventive interventions suited for the pregnancy period may benefit both maternal and offspring mental health. PMID:29267405

Don't worry, be happy: The role of positive emotionality and adaptive emotion regulation strategies for youth depressive symptoms.

PubMed

Van Beveren, Marie-Lotte; Harding, Kaitlin; Beyers, Wim; Braet, Caroline

2018-03-01

Low positive emotionality (PE) represents a temperamental vulnerability to depression in youth. Until now, little research has examined the mechanisms linking PE to depressive symptoms. Starting from integrated cognitive-affective models of depression, we aimed to study adaptive emotion regulation (ER) as a key underlying mechanism in the temperament-depression relationship. This study investigated whether adaptive ER strategies mediate the association between PE and depressive symptoms in a large community-based sample of youth, using a cross-sectional design. Participants were 1,655 youth (54% girls; 7-16 years, M = 11.41, SD = 1.88) who filled out a set of questionnaires assessing temperament, adaptive ER strategies, and depressive symptoms. Results revealed that low PE was significantly related to higher depressive symptoms among youth and that a lack of total adaptive ER abilities mediated this relationship. More specifically, the infrequent use of problem-solving appeared to be of significant importance. Problems in positive refocusing and a deficient use of forgetting mediated the relationships between low PE and high negative emotionality (NE) in predicting depressive symptoms. Reappraisal and distraction were not significant mediators. Results highlight the need to account for temperamental PE and adaptive ER strategies when studying youth depression. The findings contribute to a more nuanced understanding on the differential role of temperamental risk factors for developing depressive symptoms at an early stage and advocate for greater attention to adaptive ER strategies. Clinical interventions for youth depression may be improved by incorporating adaptive emotion regulation (ER) strategies and enhancing positive emotions. Youth low in positive emotionality (PE) may especially benefit from learning adaptive ER skills. Clinical practitioners should focus on alleviating negative emotions and enhancing positive emotions, especially among youth low in PE. © 2017 The British Psychological Society.

Nasadem Global Elevation Model: Methods and Progress

NASA Astrophysics Data System (ADS)

Crippen, R.; Buckley, S.; Agram, P.; Belz, E.; Gurrola, E.; Hensley, S.; Kobrick, M.; Lavalle, M.; Martin, J.; Neumann, M.; Nguyen, Q.; Rosen, P.; Shimada, J.; Simard, M.; Tung, W.

2016-06-01

NASADEM is a near-global elevation model that is being produced primarily by completely reprocessing the Shuttle Radar Topography Mission (SRTM) radar data and then merging it with refined ASTER GDEM elevations. The new and improved SRTM elevations in NASADEM result from better vertical control of each SRTM data swath via reference to ICESat elevations and from SRTM void reductions using advanced interferometric unwrapping algorithms. Remnant voids will be filled primarily by GDEM3, but with reduction of GDEM glitches (mostly related to clouds) and therefore with only minor need for secondary sources of fill.

Parallel pivoting combined with parallel reduction

NASA Technical Reports Server (NTRS)

Alaghband, Gita

1987-01-01

Parallel algorithms for triangularization of large, sparse, and unsymmetric matrices are presented. The method combines the parallel reduction with a new parallel pivoting technique, control over generations of fill-ins and a check for numerical stability, all done in parallel with the work being distributed over the active processes. The parallel technique uses the compatibility relation between pivots to identify parallel pivot candidates and uses the Markowitz number of pivots to minimize fill-in. This technique is not a preordering of the sparse matrix and is applied dynamically as the decomposition proceeds.

A protocol for the Hamilton Rating Scale for Depression: Item scoring rules, Rater training, and outcome accuracy with data on its application in a clinical trial.

PubMed

Rohan, Kelly J; Rough, Jennifer N; Evans, Maggie; Ho, Sheau-Yan; Meyerhoff, Jonah; Roberts, Lorinda M; Vacek, Pamela M

2016-08-01

We present a fully articulated protocol for the Hamilton Rating Scale for Depression (HAM-D), including item scoring rules, rater training procedures, and a data management algorithm to increase accuracy of scores prior to outcome analyses. The latter involves identifying potentially inaccurate scores as interviews with discrepancies between two independent raters on the basis of either scores >=5-point difference) or meeting threshold for depression recurrence status, a long-term treatment outcome with public health significance. Discrepancies are resolved by assigning two new raters, identifying items with disagreement per an algorithm, and reaching consensus on the most accurate scores for those items. These methods were applied in a clinical trial where the primary outcome was the Structured Interview Guide for the Hamilton Rating Scale for Depression-Seasonal Affective Disorder version (SIGH-SAD), which includes the 21-item HAM-D and 8 items assessing atypical symptoms. 177 seasonally depressed adult patients were enrolled and interviewed at 10 time points across treatment and the 2-year followup interval for a total of 1589 completed interviews with 1535 (96.6%) archived. Inter-rater reliability ranged from ICCs of .923-.967. Only 86 (5.6%) interviews met criteria for a between-rater discrepancy. HAM-D items "Depressed Mood", "Work and Activities", "Middle Insomnia", and "Hypochondriasis" and Atypical items "Fatigability" and "Hypersomnia" contributed most to discrepancies. Generalizability beyond well-trained, experienced raters in a clinical trial is unknown. Researchers might want to consider adopting this protocol in part or full. Clinicians might want to tailor it to their needs. Copyright © 2016 Elsevier B.V. All rights reserved.

Refining Prediction in Treatment-Resistant Depression: Results of Machine Learning Analyses in the TRD III Sample.

PubMed

Kautzky, Alexander; Dold, Markus; Bartova, Lucie; Spies, Marie; Vanicek, Thomas; Souery, Daniel; Montgomery, Stuart; Mendlewicz, Julien; Zohar, Joseph; Fabbri, Chiara; Serretti, Alessandro; Lanzenberger, Rupert; Kasper, Siegfried

The study objective was to generate a prediction model for treatment-resistant depression (TRD) using machine learning featuring a large set of 47 clinical and sociodemographic predictors of treatment outcome. 552 Patients diagnosed with major depressive disorder (MDD) according to DSM-IV criteria were enrolled between 2011 and 2016. TRD was defined as failure to reach response to antidepressant treatment, characterized by a Montgomery-Asberg Depression Rating Scale (MADRS) score below 22 after at least 2 antidepressant trials of adequate length and dosage were administered. RandomForest (RF) was used for predicting treatment outcome phenotypes in a 10-fold cross-validation. The full model with 47 predictors yielded an accuracy of 75.0%. When the number of predictors was reduced to 15, accuracies between 67.6% and 71.0% were attained for different test sets. The most informative predictors of treatment outcome were baseline MADRS score for the current episode; impairment of family, social, and work life; the timespan between first and last depressive episode; severity; suicidal risk; age; body mass index; and the number of lifetime depressive episodes as well as lifetime duration of hospitalization. With the application of the machine learning algorithm RF, an efficient prediction model with an accuracy of 75.0% for forecasting treatment outcome could be generated, thus surpassing the predictive capabilities of clinical evaluation. We also supply a simplified algorithm of 15 easily collected clinical and sociodemographic predictors that can be obtained within approximately 10 minutes, which reached an accuracy of 70.6%. Thus, we are confident that our model will be validated within other samples to advance an accurate prediction model fit for clinical usage in TRD. © Copyright 2017 Physicians Postgraduate Press, Inc.

Korean Medication Algorithm Project for Bipolar Disorder: third revision

PubMed Central

Woo, Young Sup; Lee, Jung Goo; Jeong, Jong-Hyun; Kim, Moon-Doo; Sohn, Inki; Shim, Se-Hoon; Jon, Duk-In; Seo, Jeong Seok; Shin, Young-Chul; Min, Kyung Joon; Yoon, Bo-Hyun; Bahk, Won-Myong

2015-01-01

Objective To constitute the third revision of the guidelines for the treatment of bipolar disorder issued by the Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP 2014). Methods A 56-item questionnaire was used to obtain the consensus of experts regarding pharmacological treatment strategies for the various phases of bipolar disorder and for special populations. The review committee included 110 Korean psychiatrists and 38 experts for child and adolescent psychiatry. Of the committee members, 64 general psychiatrists and 23 child and adolescent psychiatrists responded to the survey. Results The treatment of choice (TOC) for euphoric, mixed, and psychotic mania was the combination of a mood stabilizer (MS) and an atypical antipsychotic (AAP); the TOC for acute mild depression was monotherapy with MS or AAP; and the TOC for moderate or severe depression was MS plus AAP/antidepressant. The first-line maintenance treatment following mania or depression was MS monotherapy or MS plus AAP; the first-line treatment after mania was AAP monotherapy; and the first-line treatment after depression was lamotrigine (LTG) monotherapy, LTG plus MS/AAP, or MS plus AAP plus LTG. The first-line treatment strategy for mania in children and adolescents was MS plus AAP or AAP monotherapy. For geriatric bipolar patients, the TOC for mania was AAP/MS monotherapy, and the TOC for depression was AAP plus MS or AAP monotherapy. Conclusion The expert consensus in the KMAP-BP 2014 differed from that in previous publications; most notably, the preference for AAP was increased in the treatment of acute mania, depression, and maintenance treatment. There was increased expert preference for the use of AAP and LTG. The major limitation of the present study is that it was based on the consensus of Korean experts rather than on experimental evidence. PMID:25750530

Korean Medication Algorithm Project for Bipolar Disorder: third revision.

PubMed

Woo, Young Sup; Lee, Jung Goo; Jeong, Jong-Hyun; Kim, Moon-Doo; Sohn, Inki; Shim, Se-Hoon; Jon, Duk-In; Seo, Jeong Seok; Shin, Young-Chul; Min, Kyung Joon; Yoon, Bo-Hyun; Bahk, Won-Myong

2015-01-01

To constitute the third revision of the guidelines for the treatment of bipolar disorder issued by the Korean Medication Algorithm Project for Bipolar Disorder (KMAP-BP 2014). A 56-item questionnaire was used to obtain the consensus of experts regarding pharmacological treatment strategies for the various phases of bipolar disorder and for special populations. The review committee included 110 Korean psychiatrists and 38 experts for child and adolescent psychiatry. Of the committee members, 64 general psychiatrists and 23 child and adolescent psychiatrists responded to the survey. The treatment of choice (TOC) for euphoric, mixed, and psychotic mania was the combination of a mood stabilizer (MS) and an atypical antipsychotic (AAP); the TOC for acute mild depression was monotherapy with MS or AAP; and the TOC for moderate or severe depression was MS plus AAP/antidepressant. The first-line maintenance treatment following mania or depression was MS monotherapy or MS plus AAP; the first-line treatment after mania was AAP monotherapy; and the first-line treatment after depression was lamotrigine (LTG) monotherapy, LTG plus MS/AAP, or MS plus AAP plus LTG. The first-line treatment strategy for mania in children and adolescents was MS plus AAP or AAP monotherapy. For geriatric bipolar patients, the TOC for mania was AAP/MS monotherapy, and the TOC for depression was AAP plus MS or AAP monotherapy. The expert consensus in the KMAP-BP 2014 differed from that in previous publications; most notably, the preference for AAP was increased in the treatment of acute mania, depression, and maintenance treatment. There was increased expert preference for the use of AAP and LTG. The major limitation of the present study is that it was based on the consensus of Korean experts rather than on experimental evidence.

Self-Avoiding Walks Over Adaptive Triangular Grids

NASA Technical Reports Server (NTRS)

Heber, Gerd; Biswas, Rupak; Gao, Guang R.; Saini, Subhash (Technical Monitor)

1999-01-01

Space-filling curves is a popular approach based on a geometric embedding for linearizing computational meshes. We present a new O(n log n) combinatorial algorithm for constructing a self avoiding walk through a two dimensional mesh containing n triangles. We show that for hierarchical adaptive meshes, the algorithm can be locally adapted and easily parallelized by taking advantage of the regularity of the refinement rules. The proposed approach should be very useful in the runtime partitioning and load balancing of adaptive unstructured grids.

Design of a Maximum Power Point Tracker with Simulation, Analysis, and Comparison of Algorithms

DTIC Science & Technology

2012-12-01

BLANK xxvi CHAPTER 1: INTRODUCTION It is a warm summer day. You feel the sun warm your skin and rejuvenate your motiva- tion. The sun generates more... renewable , there has been an upsurge of interest in clean and renewable energy. While more than one option is available to fill that void, the most...solar array. When this algorithm is functioning correctly, it is said to be an MPPT . 1.2 Motivation Clean and renewable energy has greatly increased

Web-based depression screening and psychiatric consultation for college students: a feasibility and acceptability study.

PubMed

Williams, Aya; Larocca, Rachel; Chang, Trina; Trinh, Nhi-Ha; Fava, Maurizio; Kvedar, Joseph; Yeung, Albert

2014-01-01

Background. A steady rise in the prevalence of depression among college students has negatively affected student quality of life. This study investigates the feasibility and acceptability of a Web-based model, including Skype, to screen and provide psychiatric consultation to depressed college students. Methods. Students completed the 9-item Patient Health Questionnaire (PHQ-9) online; those who screened positive (PHQ-9 ≥ 10) or endorsed any level of suicidal ideation were offered Web-based psychiatric consultation using Skype. After the consultation, students filled out a 7-item satisfaction questionnaire to report on the acceptability of this Web-based method. Results. A total of 972 students consented to the online depression screening and 285 screened positive. Of those, 69 students consented and 17 students successfully completed the psychiatric consultation via Skype. Thirteen (76.4%) students found the interview useful in helping them understand their depression. Fifteen (88.2%) students thought that psychologists and psychiatrists could successfully see patients via videoconferencing. Conclusions. Current online technologies can provide depression screening and psychiatric consultation to college students; those who participated reported a positive experience. Future studies will need to address the low levels of participation among college students and attract students who are underserved, as well as use a videoconferencing platform that adequately protects data confidentiality.

Web-Based Depression Screening and Psychiatric Consultation for College Students: A Feasibility and Acceptability Study

PubMed Central

Williams, Aya; LaRocca, Rachel; Chang, Trina; Trinh, Nhi-Ha; Fava, Maurizio

2014-01-01

Background. A steady rise in the prevalence of depression among college students has negatively affected student quality of life. This study investigates the feasibility and acceptability of a Web-based model, including Skype, to screen and provide psychiatric consultation to depressed college students. Methods. Students completed the 9-item Patient Health Questionnaire (PHQ-9) online; those who screened positive (PHQ-9 ≥ 10) or endorsed any level of suicidal ideation were offered Web-based psychiatric consultation using Skype. After the consultation, students filled out a 7-item satisfaction questionnaire to report on the acceptability of this Web-based method. Results. A total of 972 students consented to the online depression screening and 285 screened positive. Of those, 69 students consented and 17 students successfully completed the psychiatric consultation via Skype. Thirteen (76.4%) students found the interview useful in helping them understand their depression. Fifteen (88.2%) students thought that psychologists and psychiatrists could successfully see patients via videoconferencing. Conclusions. Current online technologies can provide depression screening and psychiatric consultation to college students; those who participated reported a positive experience. Future studies will need to address the low levels of participation among college students and attract students who are underserved, as well as use a videoconferencing platform that adequately protects data confidentiality. PMID:24799895

Screening of depression in adolescents through the Internet : sensitivity and specificity of two screening questionnaires.

PubMed

Cuijpers, Pim; Boluijt, Petra; van Straten, Annemieke

2008-02-01

The Internet may offer new opportunities for treating depressed adolescents. However, before such treatments are possible, well-validated screening instruments are needed. In the current study, we validate two Internet-based screening instruments for depression among adolescents, the major depression inventory (MDI), and the Center for Epidemiological Studies-Depression scale (CES-D). A total of 1,392 adolescents, recruited through high schools and the Internet, filled in the online questionnaires. Of these, 243 (17%) were interviewed with the MINI diagnostic interview to assess the presence of a mood disorder. Cronbach's alpha was high for both the CES-D (0.93) and the MDI (0.88), and both correlated highly with each other (0.88; P < .001). The scores on both instruments were significantly increased in all subjects with a mood disorder, whether current or lifetime, except for lifetime minor depression. In the ROC analyses, high areas under the curve were found for the MDI (0.89) and CES-D (0.90). The best cut-off point for the MDI was 19 (sensitivity: 90.48; specificity: 71.53), and for the CES-D it was 22 (sensitivity: 90.48; specificity: 74.31). We conclude that the MDI and CES-D are reliable and valid instruments that can be used for this screening.

Distribution and timing of thick transient air-fall deposits in Electris: Implications for the nature of the upland plains

NASA Technical Reports Server (NTRS)

Grant, J. A.; Schultz, P. H.

1987-01-01

A large area in the Electris region of Mars is (or once was) covered by an unconformable and etched deposit. Although interpreted as lava filling volcano-tectonic depressions or fluvial deposits filling large degraded craters, more recent work has shown the deposit is more likely the result of air-fall deposition. Crater densities on both the surface of the deposit and on exhumed, underlying ridged plains indicate that the deposit was emplaced and eroded over a relatively short time. These crater statistics also demonstate that the relative age of the Electris deposit is similar to those obtained for other unconformable deposits, thereby suggesting they may be related.

Sex differences in physiological and affective responses to stress in remitted depression.

PubMed

Bagley, Sara L; Weaver, Terri L; Buchanan, Tony W

2011-08-03

Major depressive disorder (MDD) is associated with alterations in stress physiology. Severe melancholic depression is characterized by hypercortisolism, but community dwelling mildly depressed individuals and those with remitted MDD have shown reduced or normal reactivity to stress. There are also pronounced sex differences both in the incidence of MDD and in stress reactivity. To explore the relationships among depression history, sex differences, and stress, we examined stress reactivity in people with and without a history of MDD. Twenty-two participants with remitted MDD (12 men and 10 women) and 36 never depressed comparison participants (22 men and 14 women) participated in the study. Cortisol and alpha-amylase (sAA) were sampled from saliva before, 10 min after, and 30 min after the Trier Social Stress Test (TSST). Participants filled out the Positive Affect Negative Affect Schedule (PANAS) before and after they underwent the TSST. Women with remitted MDD showed reduced cortisol response to the TSST compared with the never MDD women, while men with remitted MDD showed comparable cortisol reactivity to the never depressed men. The groups did not differ on sAA reactivity to stress. The remitted MDD group (overall and men and women separately) reported greater negative affect both before and after stress compared to the never depressed group. Women from both groups reported greater post-stress negative affect than men. In contrast, men from both groups reported higher positive affect before and after stress than women. Given that the sex difference findings were not dependent on depression history, self-reported affective differences in response to stress may predate depressive symptoms and contribute to sex differences in depression incidence. Copyright © 2011 Elsevier Inc. All rights reserved.

Combined detection of depression and anxiety in epilepsy patients using the Neurological Disorders Depression Inventory for Epilepsy and the World Health Organization well-being index.

PubMed

Hansen, Christian Pilebæk; Amiri, Moshgan

2015-12-01

To validate the Danish version of the Neurological Disorders Depression Inventory for Epilepsy (NDDI-E), and compare it with the World Health Organization index for psychological well-being (WHO-5) as screening tests for depression and anxiety in epilepsy patients. Epilepsy outpatients filled out NDDI-E and WHO-5. A Mini International Neuropsychiatric Interview (MINI) as gold standard for psychiatric diagnoses was carried out with every patient. We included 124 epilepsy patients. According to MINI, 5% had depression without anxiety, 6% anxiety without depression, and 6% had both. For the detection of depression, NDDI-E was slightly better than WHO-5. With a score of more than 13, NDDI-E as a screening tool for depression had a sensitivity of 0.92, a specificity of 0.84, a positive predictive value (PPV) of 0.40, and a negative predictive value (NPV) of 0.99. In the detection of anxiety WHO-5 was better than NDDI-E. With a score below 50, WHO-5 as screening for anxiety had a sensitivity of 0.80, a specificity of 0.92, PPV 0.57, and NPV 0.97. When combining NDDI-E>13 and WHO-5<50, 95% of patients with depression and/or anxiety are identified, and in addition there are 17% false positives. NDDI-E in Danish is valid and slightly better than WHO-5 in the detection of depression in epilepsy patients. WHO-5 is valid for the detection of anxiety disorders. Combined use of NDDI-E and WHO-5 is recommended, since 95% of all epilepsy patients with depression and/or anxiety disorder are identified with only a modest number of false positives. Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Resource-enhancing group intervention against depression at workplace: who benefits? A randomised controlled study with a 7-month follow-up.

PubMed

Ahola, Kirsi; Vuori, Jukka; Toppinen-Tanner, Salla; Mutanen, Pertti; Honkonen, Teija

2012-12-01

The aim of the present study was to investigate whether participation in a structured resource-enhancing group intervention at work would act as primary prevention against depression. The authors analysed whether the intervention resulted in universal, selected or indicated prevention. A total of 566 persons participated in a prospective, within-organisation, randomly assigned field experimental study, which consisted of 34 workshops in 17 organisations. The participants filled in a questionnaire, were randomly assigned to either intervention (n=296) or comparison (n=324) groups and returned another questionnaire 7 months later. The intervention, lasting four half-day sessions, was delivered by trainers from occupational health services and human resources. The aim of the structured programme was to enhance participants' career management preparedness by strengthening self-efficacy and inoculation against setbacks. The comparison group received a literature package. The authors measured depressive symptoms using the short version of the Beck Depression Inventory. A high number of depressive symptoms (over 9 points) were used as a proxy for depression. At follow-up, the odds of depression were lower in the intervention group (OR=0.40, 95% CI 0.19 to 0.85) than in the comparison group when adjusted for baseline depressive symptoms, job strain and socio-demographics. In addition, the odds of depression among those with job strain (OR=0.15, 95% CI 0.03-0.81) at baseline were lower after the intervention. The intervention had no statistically significant effect on those with depressive symptoms (over 4 points) at baseline. The resource-enhancing group intervention appeared to be successful as universal and selective prevention of potential depression.

Correlates of depressive symptoms among North Korean refugees adapting to South Korean society: the moderating role of perceived discrimination.

PubMed

Um, Mee Young; Chi, Iris; Kim, Hee Jin; Palinkas, Lawrence A; Kim, Jae Yop

2015-04-01

Although the prevalence of depressive disorders among North Korean (NK) refugees living in South Korea has been reported to be twice the rate of their South Korean counterparts, little is known about the correlates of depressive symptoms among this population. Despite their escape from a politically and economically repressive setting, NK refugees continue to face multidimensional hardships during their adaptation process in South Korea, which can adversely affect their mental health. However, to our knowledge, no empirical research exists to date on depressive symptoms in the context of adaptation or perceived discrimination among NK refugees. To fill this gap, this study used a sample of 261 NK refugees in South Korea from the 2010 National Survey on Family Violence to examine associations between sociocultural adaptation, perceived discrimination, and depressive symptoms, as well as the moderation effect of discrimination on adaptation to depressive symptoms. We found that poor sociocultural adaptation and perception of discrimination were associated with increased levels of depressive symptoms. Perception of discrimination attenuated the association between better adaptation and fewer depressive symptoms, when compared to no perception of discrimination. These findings highlight the need to improve NK refugees' adaptation and integration as well as their psychological well-being in a culturally sensitive and comprehensive manner. They also underscore the importance of educating South Koreans to become accepting hosts who value diversity, yet in a homogeneous society. Copyright © 2015 Elsevier Ltd. All rights reserved.

Ethnic disparities in accessing treatment for depression and substance use disorders in an integrated health plan.

PubMed

Satre, Derek D; Campbell, Cynthia I; Gordon, Nancy S; Weisner, Constance

2010-01-01

This study examined ethnic differences in accessing treatment for depression and substance use disorders (SUDs) among men and women in a large integrated health plan, and explored factors potentially contributing to health care disparities. Participants were 22,543 members ages 20 to 65 who responded to health surveys in 2002 and 2005. Survey questions were linked to provider-assigned diagnoses, electronic medication, psychiatry, and chemical dependency program records. Among women diagnosed with depression, Latinas (p < .01) and Asian-Americans (p < .001) were less likely than Whites to fill an antidepressant prescription. Among men diagnosed with depression, African Americans (p < .01) were less likely than Whites to do so. Among women diagnosed with an SUD, African Americans (p < .05) were less likely than Whites to have one or more chemical dependency program visits. Results demonstrated ethnic differences in accessing depression and SUD treatment among patients diagnosed with these disorders, which persisted after controlling for education, income, having a regular health care provider and length of health plan enrollment. Findings highlight potential gender differences in ethnic disparities, lower antidepressant utilization among Asian Americans, and the effects of co-occurring disorders in accessing behavioral health care.

Perceived parenting styles, personality traits and sleep patterns in adolescents.

PubMed

Brand, Serge; Hatzinger, Martin; Beck, Johannes; Holsboer-Trachsler, Edith

2009-10-01

The present study examined the role of parenting styles with respect to adolescents' sleep patterns and symptoms of depression and anxiety. A total of 246 adolescents (age: 17.58+/-1.62) took part in the study. They completed several questionnaires with regard to parenting styles and to symptoms of anxiety and depression; additionally, they filled in a questionnaire assessing sleep-related personality traits and completed a sleep log for 7 consecutive days. Results showed a high overlap between parenting styles of both parents, though with a different relation to adolescents' sleep. Adverse parenting styles were highly correlated with low sleep quality, negative mood, increased daytime sleepiness, and with increased symptoms of anxiety and depression. Adolescents with low positive and high negative parenting styles displayed the most unfavorable sleep-related personality traits. Results suggest that parenting styles are related to young people's sleep pattern even at the beginning of late adolescence.

Optimization and Prediction of Angular Distortion and Weldment Characteristics of TIG Square Butt Joints

NASA Astrophysics Data System (ADS)

Narang, H. K.; Mahapatra, M. M.; Jha, P. K.; Biswas, P.

2014-05-01

Autogenous arc welds with minimum upper weld bead depression and lower weld bead bulging are desired as such welds do not require a second welding pass for filling up the upper bead depressions (UBDs) and characterized with minimum angular distortion. The present paper describes optimization and prediction of angular distortion and weldment characteristics such as upper weld bead depression and lower weld bead bulging of TIG-welded structural steel square butt joints. Full factorial design of experiment was utilized for selecting the combinations of welding process parameter to produce the square butts. A mathematical model was developed to establish the relationship between TIG welding process parameters and responses such as upper bead width, lower bead width, UBD, lower bead height (bulging), weld cross-sectional area, and angular distortions. The optimal welding condition to minimize UBD and lower bead bulging of the TIG butt joints was identified.

Silicone Membranes to Inhibit Water Uptake into Thermoset Polyurethane Shape-Memory Polymer Conductive Composites

PubMed Central

Yu, Ya-Jen; Infanger, Stephen; Grunlan, Melissa A.; Maitland, Duncan J.

2014-01-01

Electroactive shape memory polymer (SMP) composites capable of shape actuation via resistive heating are of interest for various biomedical applications. However, water uptake into SMPs will produce a depression of the glass transition temperature (Tg) resulting in shape recovery in vivo. While water actuated shape recovery may be useful, it is foreseen to be undesirable during early periods of surgical placement into the body. Silicone membranes have been previously reported to prevent release of conductive filler from an electroactive polymer composite in vivo. In this study, a silicone membrane was used to inhibit water uptake into a thermoset SMP composite containing conductive filler. Thermoset polyurethane (PU) SMPs were loaded with either 5 wt% carbon black (CB) or 5 wt% carbon nanotubes (CNT) and subsequently coated with either an Al2O3- or silica-filled silicone membrane. It was observed that the silicone membranes, particularly the silica-filled membrane, reduced the rate of water absorption (37 °C) and subsequent Tg depression versus uncoated composites. In turn, this led to a reduction in the rate of recovery of the permanent shape when exposed to water at 37 °C. PMID:25663711

Silicone Membranes to Inhibit Water Uptake into Thermoset Polyurethane Shape-Memory Polymer Conductive Composites.

PubMed

Yu, Ya-Jen; Infanger, Stephen; Grunlan, Melissa A; Maitland, Duncan J

2015-01-05

Electroactive shape memory polymer (SMP) composites capable of shape actuation via resistive heating are of interest for various biomedical applications. However, water uptake into SMPs will produce a depression of the glass transition temperature ( T g ) resulting in shape recovery in vivo . While water actuated shape recovery may be useful, it is foreseen to be undesirable during early periods of surgical placement into the body. Silicone membranes have been previously reported to prevent release of conductive filler from an electroactive polymer composite in vivo . In this study, a silicone membrane was used to inhibit water uptake into a thermoset SMP composite containing conductive filler. Thermoset polyurethane (PU) SMPs were loaded with either 5 wt% carbon black (CB) or 5 wt% carbon nanotubes (CNT) and subsequently coated with either an Al 2 O 3 - or silica-filled silicone membrane. It was observed that the silicone membranes, particularly the silica-filled membrane, reduced the rate of water absorption (37 °C) and subsequent T g depression versus uncoated composites. In turn, this led to a reduction in the rate of recovery of the permanent shape when exposed to water at 37 °C.

Silicone membranes to inhibit water uptake into thermoset polyurethane shape-memory polymer conductive composites

DOE Office of Scientific and Technical Information (OSTI.GOV)

Yu, Ya-Jen; Infanger, Stephen; Grunlan, Melissa A.

Electroactive shape memory polymer (SMP) composites capable of shape actuation via resistive heating are of interest for various biomedical applications. However, water uptake into SMPs will produce a depression of the glass transition temperature (T g) resulting in shape recovery in vivo. While water actuated shape recovery may be useful, it is foreseen to be undesirable during early periods of surgical placement into the body. Silicone membranes have been previously reported to prevent release of conductive filler from an electroactive polymer composite in vivo. In this paper, a silicone membrane was used to inhibit water uptake into a thermoset SMPmore » composite containing conductive filler. Thermoset polyurethane SMPs were loaded with either 5 wt % carbon black or 5 wt % carbon nanotubes, and subsequently coated with either an Al 2O 3- or silica-filled silicone membrane. It was observed that the silicone membranes, particularly the silica-filled membrane, reduced the rate of water absorption (37°C) and subsequent T g depression versus uncoated composites. Finally, in turn, this led to a reduction in the rate of recovery of the permanent shape when exposed to water at 37°C.« less

Silicone membranes to inhibit water uptake into thermoset polyurethane shape-memory polymer conductive composites

DOE PAGES

Yu, Ya-Jen; Infanger, Stephen; Grunlan, Melissa A.; ...

2014-07-24

Electroactive shape memory polymer (SMP) composites capable of shape actuation via resistive heating are of interest for various biomedical applications. However, water uptake into SMPs will produce a depression of the glass transition temperature (T g) resulting in shape recovery in vivo. While water actuated shape recovery may be useful, it is foreseen to be undesirable during early periods of surgical placement into the body. Silicone membranes have been previously reported to prevent release of conductive filler from an electroactive polymer composite in vivo. In this paper, a silicone membrane was used to inhibit water uptake into a thermoset SMPmore » composite containing conductive filler. Thermoset polyurethane SMPs were loaded with either 5 wt % carbon black or 5 wt % carbon nanotubes, and subsequently coated with either an Al 2O 3- or silica-filled silicone membrane. It was observed that the silicone membranes, particularly the silica-filled membrane, reduced the rate of water absorption (37°C) and subsequent T g depression versus uncoated composites. Finally, in turn, this led to a reduction in the rate of recovery of the permanent shape when exposed to water at 37°C.« less

Use of calcium channel blockers in hypertrophic cardiomyopathy.

PubMed

Lorell, B H

1985-02-22

Recent studies in patients with either obstructive or nonobstructive hypertrophic cardiomyopathy have suggested that increased resistance to diastolic filling of the stiff left ventricle may be an important mechanism contributing to symptoms. These observations have led to exploration of the effects of calcium channel blockers on systolic and diastolic function in patients with hypertrophic cardiomyopathy. Acute hemodynamic studies using verapamil and nifedipine have shown that these agents tend to cause: (1) a slight fall in systemic arterial pressure and reflex increase in heart rate; (2) a reduction in left ventricular outflow gradient in most but not all patients; and (3) variable effect on left-side heart filling pressures. In contrast to beta-adrenergic blockers, these hemodynamic effects are not associated with depression of systolic function, but appear to be related to improved left ventricular distensibility. Clinical trials have suggested that long-term administration of verapamil in patients with hypertrophic cardiomyopathy promotes improvement in symptomatic status and exercise tolerance in many but not all patients; similar results have been reported in preliminary studies using nifedipine. Potential major adverse effects include depression of sinoatrial activity and atrioventricular conduction with verapamil, and marked hypotension and, rarely, pulmonary edema with both verapamil and nifedipine.

Detection of depression in low resource settings: validation of the Patient Health Questionnaire (PHQ-9) and cultural concepts of distress in Nepal.

PubMed

Kohrt, Brandon A; Luitel, Nagendra P; Acharya, Prakash; Jordans, Mark J D

2016-03-08

Despite recognition of the burden of disease due to mood disorders in low- and middle-income countries, there is a lack of consensus on best practices for detecting depression. Self-report screening tools, such as the Patient Health Questionnaire (PHQ-9), require modification for low literacy populations and to assure cultural and clinical validity. An alternative approach is to employ idioms of distress that are locally salient, but these are not synonymous with psychiatric categories. Therefore, our objectives were to evaluate the validity of the PHQ-9, assess the added value of using idioms of distress, and develop an algorithm for depression detection in primary care. We conducted a transcultural translation of the PHQ-9 in Nepal using qualitative methods to achieve semantic, content, technical, and criterion equivalence. Researchers administered the Nepali PHQ-9 to randomly selected patients in a rural primary health care center. Trained psychosocial counselors administered a validated Nepali depression module of the Composite International Diagnostic Interview (CIDI) to validate the Nepali PHQ-9. Patients were also assessed for local idioms of distress including heart-mind problems (Nepali, manko samasya). Among 125 primary care patients, 17 (14 %) were positive for a major depressive episode in the prior 2 weeks based on CIDI administration. With a Nepali PHQ-9 cutoff ≥ 10: sensitivity = 0.94, specificity = 0.80, positive predictive value (PPV) =0.42, negative predictive value (NPV) =0.99, positive likelihood ratio = 4.62, and negative likelihood ratio = 0.07. For heart-mind problems: sensitivity = 0.94, specificity = 0.27, PPV = 0.17, NPV = 0.97. With an algorithm comprising two screening questions (1. presence of heart-mind problems and 2. function impairment due to heart-mind problems) to determine who should receive the full PHQ-9, the number of patients requiring administration of the PHQ-9 could be reduced by 50 %, PHQ-9 false positives would be reduced by 18 %, and 88 % of patients with depression would be correctly identified. Combining idioms of distress with a transculturally-translated depression screener increases efficiency and maintains accuracy for high levels of detection. The algorithm reduces the time needed for primary healthcare staff to verbally administer the tool for patients with limited literacy. The burden of false positives is comparable to rates in high-income countries and is a limitation for universal primary care screening.

Two variants of minimum discarded fill ordering

DOE Office of Scientific and Technical Information (OSTI.GOV)

D'Azevedo, E.F.; Forsyth, P.A.; Tang, Wei-Pai

1991-01-01

It is well known that the ordering of the unknowns can have a significant effect on the convergence of Preconditioned Conjugate Gradient (PCG) methods. There has been considerable experimental work on the effects of ordering for regular finite difference problems. In many cases, good results have been obtained with preconditioners based on diagonal, spiral or natural row orderings. However, for finite element problems having unstructured grids or grids generated by a local refinement approach, it is difficult to define many of the orderings for more regular problems. A recently proposed Minimum Discarded Fill (MDF) ordering technique is effective in findingmore » high quality Incomplete LU (ILU) preconditioners, especially for problems arising from unstructured finite element grids. Testing indicates this algorithm can identify a rather complicated physical structure in an anisotropic problem and orders the unknowns in the preferred'' direction. The MDF technique may be viewed as the numerical analogue of the minimum deficiency algorithm in sparse matrix technology. At any stage of the partial elimination, the MDF technique chooses the next pivot node so as to minimize the amount of discarded fill. In this work, two efficient variants of the MDF technique are explored to produce cost-effective high-order ILU preconditioners. The Threshold MDF orderings combine MDF ideas with drop tolerance techniques to identify the sparsity pattern in the ILU preconditioners. These techniques identify an ordering that encourages fast decay of the entries in the ILU factorization. The Minimum Update Matrix (MUM) ordering technique is a simplification of the MDF ordering and is closely related to the minimum degree algorithm. The MUM ordering is especially for large problems arising from Navier-Stokes problems. Some interesting pictures of the orderings are presented using a visualization tool. 22 refs., 4 figs., 7 tabs.« less

Metacognitions and emotional schemas: a new cognitive perspective for the distinction between unipolar and bipolar depression.

PubMed

Batmaz, Sedat; Ulusoy Kaymak, Semra; Kocbiyik, Sibel; Turkcapar, Mehmet Hakan

2014-10-01

Clinicians need to make the differential diagnosis of unipolar and bipolar depression to guide their treatment choices. Looking at the differences observed in the metacognitions, and the emotional schemas, might help with this differentiation, and might provide information about the distinct psychotherapeutical targets. Three groups of subjects (166 unipolar depressed, 140 bipolar depressed, and 151 healthy controls) were asked to fill out the Metacognitions Questionnaire-30 (MCQ-30), and the Leahy Emotional Schema Scale (LESS). The clinicians diagnosed the volunteers according to the criteria of DSM-IV-TR with a structured clinical interview (MINI), and rated the moods of the subjects with the Montgomery Asberg Depression Rating Scale (MADRS), and the Young Mania Rating Scale (YMRS). Statistical analyses were undertaken to identify the group differences on the MCQ-30, and the LESS. The bipolar and unipolar depressed patients' scores on the MCQ-30 were significantly different from the healthy controls, but not from each other. On the LESS dimensions of guilt, duration, blame, validation, and acceptance of feelings, all three groups significantly differed from each other. There were no statistically different results on the LESS dimensions of comprehensibility, consensus, and expression. The mood disordered groups scored significantly different than the healthy controls on the LESS dimensions of simplistic view of emotions, numbness, rationality, rumination, higher values, and control. These results suggest that the metacognitive model of unipolar depression might be extrapolated for patients with bipolar depression. These results are also compatible to a great extent with the emotional schema theory of depression. Copyright © 2014 Elsevier Inc. All rights reserved.

Temperament in the clinical differentiation of depressed bipolar and unipolar major depressive patients.

PubMed

Mendlowicz, Mauro V; Akiskal, Hagop S; Kelsoe, John R; Rapaport, Mark H; Jean-Louis, Girardin; Gillin, J Christian

2005-02-01

To examine differences in temperament profiles between patients with recurrent unipolar and bipolar depression. Depressed individuals with recurrent major depressive disorder (MDD) (n = 94) and those with bipolar (n = 59) disorders (about equally divided between types I and II) were recruited by newspaper advertisement, radio and television announcements, flyers and newsletters, and word of mouth. All patients were interviewed using the Structured Clinical Interview for DSM III-R (SCID) and had the severity of their depressive episode assessed by means of the 17-item Hamilton Rating Scale for Depression. All patients filled out the TEMPS-A, a validated instrument. Temperament differences between bipolar and MDD patients were examined using MANCOVA. Overall significant effect of the fixed factor (bipolar vs. unipolar) was noted for the temperament scores [Hotelling's F((5,142)) = 2.47, p < 0.05]. Overall effects were found for age [F((5,142)) = 2.40, p < 0.05], but not for gender and severity of depression [F((5,142)) = 1.65, p = 0.15 and F((5,142)) = 0.66, p = 0.66, respectively]. Dependent variables included the five subscales of the TEMPS-A, but only the cyclothymic temperament scores showed significant between-group differences. Small bipolar subsample cell sizes did not permit to test the specificity of the findings for bipolar II vs. bipolar I patients. The finding that the clyclothymic subscale is significantly elevated in the bipolar vs. the unipolar depressive group supports the theoretical assumptions upon which the scale is based, and suggests that it might become a useful tool for clinical and research purposes.

Coprevalence of Anxiety and Depression With Spasmodic Dysphonia: A Case-Control Study

PubMed Central

White, Laura J.; Hapner, Edie R.; Klein, Adam M.; Delgaudio, John M.; Hanfelt, John J.; Jinnah, H. A.; Johns, Michael M.

2012-01-01

Summary Introduction There is evidence supporting an association between depression and anxiety in patients with chronic disease. Spasmodic dysphonia (SD) is a chronic, incurable, and disabling voice disorder. Reported rates of depression and anxiety in SD range from 7.1% to 72%, with a maximum number of 18 patients. The goal of this study was to define the coprevalence of depression and anxiety with SD. Materials and Methods A single-institution case-control study was performed from May to July 2010. Consecutive patients with SD and benign voice disorders were enrolled prospectively. On enrollment, patients were asked to fill out a questionnaire that reviewed the duration of the voice disorder and personal history of anxiety and depression, including current and lifetime diagnosis. Results One hundred forty-six controls with benign voice disorders and 128 patients with SD were enrolled. Patients with SD were no more likely to be diagnosed with depression or anxiety than those of the control group (odds ratio [OR] = 0.985, 95% confidence interval [CI] = 0.59–1.63; and OR = 1.314; 95% CI 0.75–2.3, respectively). Additionally, duration of disease was a risk factor for depression in both the SD group and the control group, and the association was not significantly different between groups. Conclusion Patients with SD were no more likely to have depression or anxiety than those with other voice disorders. It is important for otolaryngologists to be aware of the increased rates of depression in patients diagnosed with chronic diseases, including voice disorders, and to refer to a psychiatrist when appropriate. PMID:22209056

Coprevalence of anxiety and depression with spasmodic dysphonia: a case-control study.

PubMed

White, Laura J; Hapner, Edie R; Klein, Adam M; Delgaudio, John M; Hanfelt, John J; Jinnah, H A; Johns, Michael M

2012-09-01

There is evidence supporting an association between depression and anxiety in patients with chronic disease. Spasmodic dysphonia (SD) is a chronic, incurable, and disabling voice disorder. Reported rates of depression and anxiety in SD range from 7.1% to 72%, with a maximum number of 18 patients. The goal of this study was to define the coprevalence of depression and anxiety with SD. A single-institution case-control study was performed from May to July 2010. Consecutive patients with SD and benign voice disorders were enrolled prospectively. On enrollment, patients were asked to fill out a questionnaire that reviewed the duration of the voice disorder and personal history of anxiety and depression, including current and lifetime diagnosis. One hundred forty-six controls with benign voice disorders and 128 patients with SD were enrolled. Patients with SD were no more likely to be diagnosed with depression or anxiety than those of the control group (odds ratio [OR]=0.985, 95% confidence interval [CI]=0.59-1.63; and OR=1.314; 95% CI=0.75-2.3, respectively). Additionally, duration of disease was a risk factor for depression in both the SD group and the control group, and the association was not significantly different between groups. Patients with SD were no more likely to have depression or anxiety than those with other voice disorders. It is important for otolaryngologists to be aware of the increased rates of depression in patients diagnosed with chronic diseases, including voice disorders, and to refer to a psychiatrist when appropriate. Copyright © 2012 The Voice Foundation. Published by Mosby, Inc. All rights reserved.

Depression, stress and anxiety in medical students: A cross-sectional comparison between students from different semesters.

PubMed

Moutinho, Ivana Lúcia Damásio; Maddalena, Natalia de Castro Pecci; Roland, Ronald Kleinsorge; Lucchetti, Alessandra Lamas Granero; Tibiriçá, Sandra Helena Cerrato; Ezequiel, Oscarina da Silva; Lucchetti, Giancarlo

2017-01-01

To compare the prevalence of anxiety, depression, and stress in medical students from all semesters of a Brazilian medical school and assess their respective associated factors. A cross-sectional study of students from the twelve semesters of a Brazilian medical school was carried out. Students filled out a questionnaire including sociodemographics, religiosity (DUREL - Duke Religion Index), and mental health (DASS-21 - Depression, Anxiety, and Stress Scale). The students were compared for mental health variables (Chi-squared/ANOVA). Linear regression models were employed to assess factors associated with DASS-21 scores. 761 (75.4%) students answered the questionnaire; 34.6% reported depressive symptomatology, 37.2% showed anxiety symptoms, and 47.1% stress symptoms. Significant differences were found for: anxiety - ANOVA: [F = 2.536, p=0.004] between first and tenth (p=0.048) and first and eleventh (p=0.025) semesters; depression - ANOVA: [F = 2.410, p=0.006] between first and second semesters (p=0.045); and stress - ANOVA: [F = 2.968, p=0.001] between seventh and twelfth (p=0.044), tenth and twelfth (p=0.011), and eleventh and twelfth (p=0.001) semesters. The following factors were associated with (a) stress: female gender, anxiety, and depression; (b) depression: female gender, intrinsic religiosity, anxiety, and stress; and (c) anxiety: course semester, depression, and stress. Our findings revealed high levels of depression, anxiety, and stress symptoms in medical students, with marked differences among course semesters. Gender and religiosity appeared to influence the mental health of the medical students.

Socioeconomic status and treatment of depression during pregnancy: a retrospective population-based cohort study in British Columbia, Canada.

PubMed

Hanley, Gillian E; Park, Mina; Oberlander, Tim F

2018-06-02

Women at the lower end of the socioeconomic distribution have higher rates of depression in pregnancy; however, we know little about the role of socioeconomic status (SES) in determining their treatment. Herein, we investigate the relationships between income and the use of health services for depression in pregnancy. This retrospective cohort study using population-based administrative datasets included all women who delivered a live infant in the province of British Columbia, Canada (population of 4.3 million) between April 1st, 2000 and December 31st, 2009. We restricted to women with an indication of depression during pregnancy and examined their use of health services to treat depression by income quintile. Women in the highest income quintile were significantly more likely to see a psychiatrist for depression during pregnancy and to fill prescriptions for serotonin reuptake inhibitor (SRI) antidepressants than women in the lowest income quintile. Women at the lower end of the income distribution were more likely to have a GP visit for depression. Women at the low end of the income distribution were more likely to end up in hospital for depression or a mental health condition during pregnancy and more likely to receive a benzodiazepine and/or an antipsychotic medication. Our findings suggest a critical gap in access to health services for women of lower income suffering from depression during pregnancy, a time when proper access to effective treatment has the most potential to improve the long-term health of the developing child and the whole family unit.

Algorithm of first-aid management of dental trauma for medics and corpsmen.

PubMed

Zadik, Yehuda

2008-12-01

In order to fill the discrepancy between the necessity of providing prompt and proper treatment to dental trauma patients, and the inadequate knowledge among medics and corpsmen, as well as the lack of instructions in first-aid textbook and manuals, and after reviewing the dental literature, a simple algorithm for non-professional first-aid management for various injuries to hard (teeth) and soft oral tissues, is presented. The recommended management of tooth avulsion, subluxation and luxation, crown fracture and lip, tongue or gingival laceration included in the algorithm. Along with a list of after-hour dental clinics, this symptoms- and clinical-appearance-based algorithm is suited to tuck easily into a pocket for quick utilization by medics/corpsmen in an emergency situation. Although the algorithm was developed for the usage of military non-dental health-care providers, this method could be adjusted and employed in the civilian environment as well.

Ultrasound Algorithm Derivation for Soil Moisture Content Estimation

NASA Technical Reports Server (NTRS)

Belisle, W.R.; Metzl, R.; Choi, J.; Aggarwal, M. D.; Coleman, T.

1997-01-01

Soil moisture content can be estimated by evaluating the velocity at which sound waves travel through a known volume of solid material. This research involved the development of three soil algorithms relating the moisture content to the velocity at which sound waves moved through dry and moist media. Pressure and shear wave propagation equations were used in conjunction with soil property descriptions to derive algorithms appropriate for describing the effects of moisture content variation on the velocity of sound waves in soils with and without complete soil pore water volumes, An elementary algorithm was used to estimate soil moisture contents ranging from 0.08 g/g to 0.5 g/g from sound wave velocities ranging from 526 m/s to 664 m/s. Secondary algorithms were also used to estimate soil moisture content from sound wave velocities through soils with pores that were filled predominantly with air or water.

Depression in Parkinson's disease: impediments to recognition and treatment options.

PubMed

Poewe, W; Luginger, E

1999-01-01

By some estimates, nearly half of patients with PD also suffer depression. Because features of PD frequently overlap with typical manifestations of major affective disorder (or mild dysthymia), both diagnosis and treatment of this comorbidity are challenging. Some of these interactive features include cognitive and speech deficits and impairments in emotional expression (e.g., PD-related facial masking) or processing. Parkinsonian depression probably is caused by an independent abnormality rather than as a maladaptive response to disease, in that the degree of depression is not correlated with PD severity. Prognostically, depressive features (e.g., introversion, inflexibility) may represent a subtle premorbid state heralding the onset of PD or an accelerated cognitive decline thereafter. Therapeutic mainstays for parkinsonian depression include psychosocial counseling at the time of PD diagnosis (and during advanced stages of PD) as well as appropriate medication regimens, the relative clinical efficacy of which remain a matter of ongoing clinical inquiry: levodopa, dopamine agonists, selegilene, tricyclic antidepressants, and selective serotonin reuptake inhibitors). This review formulates a rational treatment algorithm to assist in clinical management of parkinsonian depression, an enormously complex clinical entity.

Burrowing inhibition by fine textured beach fill: Implications for recovery of beach ecosystems

NASA Astrophysics Data System (ADS)

Viola, Sloane M.; Hubbard, David M.; Dugan, Jenifer E.; Schooler, Nicholas K.

2014-10-01

Beach nourishment is often considered the most environmentally sound method of maintaining eroding shorelines. However, the ecological consequences are poorly understood. Fill activities cause intense disturbance and high mortality and have the potential to alter the diversity, abundance, and distribution of intertidal macroinvertebrates for months to years. Ecological recovery following fill activities depends on successful recolonization and recruitment of the entire sandy intertidal community. The use of incompatible sediments as fill material can strongly affect ecosystem recovery. We hypothesized that burrowing inhibition of intertidal animals by incompatible fine fill sediments contributes to ecological impacts and limits recovery in beach ecosystems. We experimentally investigated the influence of intertidal zone and burrowing mode on responses of beach invertebrates to altered sediment texture (28-38% fines), and ultimately the potential for colonization and recovery of beaches disturbed by beach filling. Using experimental trials in fill material and natural beach sand, we found that the mismatched fine fill sediments significantly inhibited burrowing of characteristic species from all intertidal zones, including sand crabs, clams, polychaetes, isopods, and talitrid amphipods. Burrowing performance of all five species we tested was consistently reduced in the fill material and burrowing was completely inhibited for several species. The threshold for burrowing inhibition by fine sediment content in middle and lower beach macroinvertebrates varied by species, with highest sensitivity for the polychaete (4% fines, below the USA regulatory limit of 10% fines), followed by sand crabs and clams (20% fines). These results suggest broader investigation of thresholds for burrowing inhibition in fine fill material is needed for beach animals. Burrowing inhibition caused by mismatched fill sediments exposes beach macroinvertebrates to stresses, which could depress recruitment and survival at all intertidal zones. Our results suggest use of incompatible fine fill sediments from dredging projects creates unsuitable intertidal habitat that excludes burrowing macroinvertebrates and could delay beach ecosystem recovery. Through effects on beach invertebrates that are prey for shorebirds and fish, the ecological impacts of filling with mismatched fine sediments could influence higher trophic levels and extend beyond the beach itself.

Utility of the PHQ-9 to identify major depressive disorder in adult patients in Spanish primary care centres.

PubMed

Muñoz-Navarro, Roger; Cano-Vindel, Antonio; Medrano, Leonardo Adrián; Schmitz, Florian; Ruiz-Rodríguez, Paloma; Abellán-Maeso, Carmen; Font-Payeras, Maria Antonia; Hermosilla-Pasamar, Ana María

2017-08-09

The prevalence of major depressive disorder (MDD) in Spanish primary care (PC) centres is high. However, MDD is frequently underdiagnosed and consequently only some patients receive the appropriate treatment. The present study aims to determine the utility of the Patient Health Questionnaire-9 (PHQ-9) to identify MDD in a subset of PC patients participating in the large PsicAP study. A total of 178 patients completed the full PHQ test, including the depression module (PHQ-9). Also, a Spanish version of the Structured Clinical Interview for DSM-IV Axis I Disorders (SCID-I) was implemented by clinical psychologists that were blinded to the PHQ-9 results. We evaluated the psychometric properties of the PHQ-9 as a screening tool as compared to the SCID-I as a reference standard. The psychometric properties of the PHQ-9 for a cut-off value of 10 points were as follows: sensitivity, 0.95; specificity, 0.67. Using a cut-off of 12 points, the values were: sensitivity, 0.84; specificity, 0.78. Finally, using the diagnostic algorithm for depression (DSM-IV criteria), the sensitivity was 0.88 and the specificity 0.80. As a screening instrument, the PHQ-9 performed better with a cut-off value of 12 versus the standard cut-off of 10. However, the best psychometric properties were obtained with the DSM-IV diagnostic algorithm for depression. These findings indicate that the PHQ-9 is a highly satisfactory tool that can be used for screening MDD in the PC setting. Current Controlled Trials ISRCTN58437086 . Registered 20 May 2013.

Measurement-based care for refractory depression: a clinical decision support model for clinical research and practice.

PubMed

Trivedi, Madhukar H; Daly, Ella J

2007-05-01

Despite years of antidepressant drug development and patient and provider education, suboptimal medication dosing and duration of exposure resulting in incomplete remission of symptoms remains the norm in the treatment of depression. Additionally, since no one treatment is effective for all patients, optimal implementation focusing on the measurement of symptoms, side effects, and function is essential to determine effective sequential treatment approaches. There is a need for a paradigm shift in how clinical decision making is incorporated into clinical practice and for a move away from the trial-and-error approach that currently determines the "next best" treatment. This paper describes how our experience with the Texas Medication Algorithm Project (TMAP) and the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial has confirmed the need for easy-to-use clinical support systems to ensure fidelity to guidelines. To further enhance guideline fidelity, we have developed an electronic decision support system that provides critical feedback and guidance at the point of patient care. We believe that a measurement-based care (MBC) approach is essential to any decision support system, allowing physicians to individualize and adapt decisions about patient care based on symptom progress, tolerability of medication, and dose optimization. We also believe that successful integration of sequential algorithms with MBC into real-world clinics will facilitate change that will endure and improve patient outcomes. Although we use major depression to illustrate our approach, the issues addressed are applicable to other chronic psychiatric conditions including comorbid depression and substance use disorder as well as other medical illnesses.

Measurement-Based Care for Refractory Depression: A Clinical Decision Support Model for Clinical Research and Practice

PubMed Central

Trivedi, Madhukar H.; Daly, Ella J.

2009-01-01

Despite years of antidepressant drug development and patient and provider education, suboptimal medication dosing and duration of exposure resulting in incomplete remission of symptoms remains the norm in the treatment of depression. Additionally, since no one treatment is effective for all patients, optimal implementation focusing on the measurement of symptoms, side effects, and function is essential to determine effective sequential treatment approaches. There is a need for a paradigm shift in how clinical decision making is incorporated into clinical practice and for a move away from the trial-and-error approach that currently determines the “next best” treatment. This paper describes how our experience with the Texas Medication Algorithm Project (TMAP) and the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial has confirmed the need for easy-to-use clinical support systems to ensure fidelity to guidelines. To further enhance guideline fidelity, we have developed an electronic decision support system that provides critical feedback and guidance at the point of patient care. We believe that a measurement-based care (MBC) approach is essential to any decision support system, allowing physicians to individualize and adapt decisions about patient care based on symptom progress, tolerability of medication, and dose optimization. We also believe that successful integration of sequential algorithms with MBC into real-world clinics will facilitate change that will endure and improve patient outcomes. Although we use major depression to illustrate our approach, the issues addressed are applicable to other chronic psychiatric conditions including comorbid depression and substance use disorder as well as other medical illnesses. PMID:17320312

Fill and spill drives runoff connectivity over frozen ground

NASA Astrophysics Data System (ADS)

Coles, A. E.; McDonnell, J. J.

2018-03-01

Snowmelt-runoff processes on frozen ground are poorly understood at the hillslope scale. This is especially true for hillslopes on the northern Great Plains of North America where long periods of snow-covered frozen ground with very shallow slopes mask any spatial patterns and process controls on connectivity and hillslope runoff generation. This study examines a 4.66 ha (46,600 m2) hillslope on the northern Great Plains during the 2014 spring snowmelt season to explore hillslope runoff processes. Specifically, we explore the spatial patterns of runoff production source areas and examine how surface topography and patterns of snow cover, snow water equivalent, soil water content, and thawed layer depth - which we measured on a 10 m grid across our 46,600 m2 hillslope - affect melt water partitioning and runoff connectivity. A key question was whether or not the controls on connectivity are consistent with the fill and spill mechanism found in rain-dominated and unfrozen soil domains. The contrast between the slow infiltration rates into frozen soil and the relatively fast rates of snowmelt delivery to the soil surface resulted in water accumulation in small depressions under the snowpack. Consequently, infiltration was minimal over the 12 day melt period. Instead, nested filling of micro- and meso-depressions was followed by macro-scale, whole-slope spilling. This spilling occurred when large patches of ponded water exceeded the storage capacity behind downslope micro barriers in the surface topography, and flows from them coalesced to drive a rapid increase in runoff at the hillslope outlet. These observations of ponded water and flowpaths followed mapable fill and spill locations based on 2 m resolution digital topographic analysis. Interestingly, while surface topography is relatively unimportant under unfrozen conditions at our site because of low relief and high infiltrability, surface topography shows episodically critical importance for connectivity and runoff generation when the ground is frozen.

Perinatal Parenting Stress, Anxiety, and Depression Outcomes in First-Time Mothers and Fathers: A 3- to 6-Months Postpartum Follow-Up Study

PubMed Central

Vismara, Laura; Rollè, Luca; Agostini, Francesca; Sechi, Cristina; Fenaroli, Valentina; Molgora, Sara; Neri, Erica; Prino, Laura E.; Odorisio, Flaminia; Trovato, Annamaria; Polizzi, Concetta; Brustia, Piera; Lucarelli, Loredana; Monti, Fiorella; Saita, Emanuela; Tambelli, Renata

2016-01-01

Objective: Although there is an established link between parenting stress, postnatal depression, and anxiety, no study has yet investigated this link in first-time parental couples. The specific aims of this study were 1) to investigate whether there were any differences between first-time fathers’ and mothers’ postnatal parenting stress, anxiety, and depression symptoms and to see their evolution between three and 6 months after their child’s birth; and 2) to explore how each parent’s parenting stress and anxiety levels and the anxiety levels and depressive symptoms of their partners contributed to parental postnatal depression. Method: The sample included 362 parents (181 couples; mothers’ MAge = 35.03, SD = 4.7; fathers’ MAge = 37.9, SD = 5.6) of healthy babies. At three (T1) and 6 months (T2) postpartum, both parents filled out, in a counterbalanced order, the Parenting Stress Index-Short Form, the Edinburgh Postnatal Depression Scale, and the State-Trait Anxiety Inventory. Results: The analyses showed that compared to fathers, mothers reported higher scores on postpartum anxiety, depression, and parenting stress. The scores for all measures for both mothers and fathers decreased from T1 to T2. However, a path analysis suggested that the persistence of both maternal and paternal postnatal depression was directly influenced by the parent’s own levels of anxiety and parenting stress and by the presence of depression in his/her partner. Discussion: This study highlights the relevant impact and effects of both maternal and paternal stress, anxiety, and depression symptoms during the transition to parenthood. Therefore, to provide efficacious, targeted, early interventions, perinatal screening should be directed at both parents. PMID:27445906

Incremental health care services and expenditures associated with depression among individuals with cutaneous lupus erythematosus (CLE).

PubMed

Ogunsanya, M E; Nduaguba, S O; Brown, C M

2018-06-01

Objectives The objective of this paper is to describe the annual direct medical expenditures for cutaneous lupus erythematosus (CLE) patients, and to estimate the incremental health care expenditures and utilization associated with depression among adults with CLE, while controlling for covariates. Methods Using the 2014 Medical Expenditure Panel Survey (MEPS), we compared CLE patients with and without depression to determine differences in: (a) health care utilization-inpatient, outpatient, office-based and emergency room (ER) visits, and prescriptions filled; and (b) expenditures-total costs, inpatient, outpatient, office-based, ER, and prescription medication costs, and other costs using demography-adjusted and comorbidity-adjusted multivariate models (age, gender, race/ethnicity, marital status, education, perception of health status, poverty category, smoking status, and Charlson Comorbidity Index). Results The total direct medical expenditure associated with CLE is estimated at approximately $29.7 billion in 2014 US dollars. After adjusting for covariates, adults with CLE and depression had more hospital discharges (utilization ratio (UR) = 1.13, 95% confidence interval (CI) (1.00-1.28)), ER visits (UR = 1.17, 95% CI (1.09-1.37)), and prescribed medicines (UR = 2.15, 95% CI (1.51-3.05)) than those without depression. Adults with CLE and depression had significantly higher average annual total expenditure that those without depression ($19,854 vs. $9735). Conclusions High health care expenditures are significant for patients with CLE, especially among those with depression. Prescription drugs, inpatient visits, and ER visits contributed most to the total expenditures in CLE patients with depression. Early diagnosis and treatment of depression in CLE patients may reduce total health care expenditures and utilization in this population.

Anxiety and depression symptoms in women and men from early pregnancy to 3-months postpartum: parity differences and effects.

PubMed

Figueiredo, Bárbara; Conde, Ana

2011-07-01

This study aimed to investigate both anxiety and depression symptoms from early pregnancy to 3-months postpartum, comparing women and men and first and second-time parents. A sample of 260 Portuguese couples (N=520), first or second-time parents, recruited in an Obstetrics Out-patients Unit, filled in the State-Anxiety Inventory (STAI-S) and the Edinburgh Post-Natal Depression Scale (EPDS) at the 1st, 2nd and 3rd pregnancy trimesters, childbirth, and 3-months postpartum. A decrease in anxiety and depression symptoms from early pregnancy to 3-months postpartum was found in both women and men, as well as in first and second-time parents. Men presented less anxiety and depression symptoms than women, but the same pattern of symptoms over time. Second-time parents showed more anxiety and depression symptoms than first-time parents and a different pattern of symptoms over time: an increase in anxiety and depression symptoms from the 3rd trimester to childbirth was observed in first-time parents versus a decrease in second-time parents. The voluntary nature of the participation may have lead to a selection bias; women and men who agreed to participate could be those who presented fewer anxiety and depression symptoms. Moreover, the use of self-report symptom measures does not give us the level of possible disorder in participants. Anxiety and depression symptoms diminish from pregnancy to the postpartum period in all parents. Patterns of anxiety and depression symptoms from early pregnancy to 3-months postpartum are similar in women and men, but somewhat different in first and second-time parents. Second-time parents should also be considered while studying and intervening during pregnancy and the postpartum. Copyright © 2011 Elsevier B.V. All rights reserved.

[Prevalence of and factors related to depression in high school students].

PubMed

Eskin, Mehmet; Ertekin, Kamil; Harlak, Hacer; Dereboy, Ciğdem

2008-01-01

The study aimed at investigating the prevalence of and factors related to depression in high school students. A total of 805 (n = 367 girls; n = 438 boys) first year students from three high schools in the city of Aydin filled in a self-report questionnaire that contained questions about socio-demographics, academic achievement and religious belief. It included also a depression rating scale, social support scale, problem solving inventory and an assertiveness scale. T-tests, chi-square tests, Pearson moment products correlation coefficients, and logistic regression analysis were used to analyze the data. 141 students (17.5%) scored on and above the cut-off point on the Children Depression Inventory (CDI). In the first regression analyses low self-esteem, low grade point average (GPA) and low perceived social support from friends in boys, and low self-esteem, low paternal educational level and low social support from friends were the predictors of girls' depression. When self-esteem scores were excluded, low GPA, low perceived social support from friends and family, and inefficient problem solving skills were predictors of depression in boys; low perceived social support from friends and family, low paternal educational level, and inefficient problem solving skills were the independent predictors of depression in girls. Depression is prevalent in high school students. Low self-esteem, low perceived social support from peers and family, and inefficient problem solving skills appears to be risk factors for adolescent depression. Low GPA for boys and low paternal education for girls were gender specific risk factors. Psychosocial interventions geared for increasing self-esteem, social support and problem solving skills may be effective in the prevention and treatment of adolescent depression.

Comparing treatment persistence, healthcare resource utilization, and costs in adult patients with major depressive disorder treated with escitalopram or citalopram.

PubMed

Wu, Eric Q; Greenberg, Paul E; Ben-Hamadi, Rym; Yu, Andrew P; Yang, Elaine H; Erder, M Haim

2011-03-01

Major depressive disorder is the most common type of depression, affecting 6.6% of adults in the United States annually. Citalopram and escitalopram are common second-generation antidepressants used for the treatment of patients with this disorder. Because citalopram is available in generic forms that have lower acquisition costs compared with the branded escitalopram, some health plans may provide incentives to encourage the use of the generic option. Decisions based solely on drug acquisition costs may encourage the use of a therapy that is less cost-effective when treatment persistence, healthcare utilization, and overall costs are factored in. To compare, in a real-world setting, the treatment persistence, healthcare utilization, and overall costs of managing adult patients with major depressive disorder who are treated with escitalopram or citalopram. Administrative claims data (from January 1, 2003, to June 30, 2005) were analyzed for patients with major depressive disorder aged ≥18 years. Patients filled ≥1 prescriptions for citalopram or for escitalopram (first-fill time was defined as the index date) and had no second-generation antidepressant use during the 6-month preindex period. Treatment persistence, healthcare utilization, and healthcare costs were measured over the 6-month preindex and 6-month postindex periods and compared between patients treated with citalopram or escitalopram, using unadjusted and multivariate analyses. Patients receiving escitalopram (N = 10,465) were less likely to discontinue the treatment (hazard ratio 0.94; P = .005) and switch to another second-generation antidepressant (hazard ratio 0.83; P <.001) than patients receiving citalopram (N = 4212). Patients receiving escitalopram were also less likely to have a hospital admission (odds ratio 0.88; P = .036) or an emergency department visit and had lower total healthcare costs (-$1174) and major depressive disorder-related costs (-$109; P <.001) during the study period. Although the drug acquisition costs are lower for generic citalopram than for the brand-name escitalopram, patients treated with escitalopram had better treatment persistence, lower healthcare utilization, and lower overall costs compared with patients treated with citalopram over the study period. This may suggest that other considerations, in addition to acquisition cost, may need to be factored in to assess the cost-effectiveness of drug therapy.

Comparing Treatment Persistence, Healthcare Resource Utilization, and Costs in Adult Patients with Major Depressive Disorder Treated with Escitalopram or Citalopram

PubMed Central

Wu, Eric Q.; Greenberg, Paul E.; Ben-Hamadi, Rym; Yu, Andrew P.; Yang, Elaine H.; Erder, M. Haim

2011-01-01

Background Major depressive disorder is the most common type of depression, affecting 6.6% of adults in the United States annually. Citalopram and escitalopram are common second-generation antidepressants used for the treatment of patients with this disorder. Because citalopram is available in generic forms that have lower acquisition costs compared with the branded escitalopram, some health plans may provide incentives to encourage the use of the generic option. Decisions based solely on drug acquisition costs may encourage the use of a therapy that is less cost-effective when treatment persistence, healthcare utilization, and overall costs are factored in. Objective To compare, in a real-world setting, the treatment persistence, healthcare utilization, and overall costs of managing adult patients with major depressive disorder who are treated with escitalopram or citalopram. Methods Administrative claims data (from January 1, 2003, to June 30, 2005) were analyzed for patients with major depressive disorder aged ≥18 years. Patients filled ≥1 prescriptions for citalopram or for escitalopram (first-fill time was defined as the index date) and had no second-generation antidepressant use during the 6-month preindex period. Treatment persistence, healthcare utilization, and healthcare costs were measured over the 6-month preindex and 6-month postindex periods and compared between patients treated with citalopram or escitalopram, using unadjusted and multivariate analyses. Results Patients receiving escitalopram (N = 10,465) were less likely to discontinue the treatment (hazard ratio 0.94; P = .005) and switch to another second-generation antidepressant (hazard ratio 0.83; P <.001) than patients receiving citalopram (N = 4212). Patients receiving escitalopram were also less likely to have a hospital admission (odds ratio 0.88; P = .036) or an emergency department visit and had lower total healthcare costs (−$1174) and major depressive disorder–related costs (−$109; P <.001) during the study period. Conclusion Although the drug acquisition costs are lower for generic citalopram than for the brand-name escitalopram, patients treated with escitalopram had better treatment persistence, lower healthcare utilization, and lower overall costs compared with patients treated with citalopram over the study period. This may suggest that other considerations, in addition to acquisition cost, may need to be factored in to assess the cost-effectiveness of drug therapy. PMID:25126340

Automated EEG-based screening of depression using deep convolutional neural network.

PubMed

Acharya, U Rajendra; Oh, Shu Lih; Hagiwara, Yuki; Tan, Jen Hong; Adeli, Hojjat; Subha, D P

2018-07-01

In recent years, advanced neurocomputing and machine learning techniques have been used for Electroencephalogram (EEG)-based diagnosis of various neurological disorders. In this paper, a novel computer model is presented for EEG-based screening of depression using a deep neural network machine learning approach, known as Convolutional Neural Network (CNN). The proposed technique does not require a semi-manually-selected set of features to be fed into a classifier for classification. It learns automatically and adaptively from the input EEG signals to differentiate EEGs obtained from depressive and normal subjects. The model was tested using EEGs obtained from 15 normal and 15 depressed patients. The algorithm attained accuracies of 93.5% and 96.0% using EEG signals from the left and right hemisphere, respectively. It was discovered in this research that the EEG signals from the right hemisphere are more distinctive in depression than those from the left hemisphere. This discovery is consistent with recent research and revelation that the depression is associated with a hyperactive right hemisphere. An exciting extension of this research would be diagnosis of different stages and severity of depression and development of a Depression Severity Index (DSI). Copyright © 2018 Elsevier B.V. All rights reserved.

On consistent inter-view synthesis for autostereoscopic displays

NASA Astrophysics Data System (ADS)

Tran, Lam C.; Bal, Can; Pal, Christopher J.; Nguyen, Truong Q.

2012-03-01

In this paper we present a novel stereo view synthesis algorithm that is highly accurate with respect to inter-view consistency, thus to enabling stereo contents to be viewed on the autostereoscopic displays. The algorithm finds identical occluded regions within each virtual view and aligns them together to extract a surrounding background layer. The background layer for each occluded region is then used with an exemplar based inpainting method to synthesize all virtual views simultaneously. Our algorithm requires the alignment and extraction of background layers for each occluded region; however, these two steps are done efficiently with lower computational complexity in comparison to previous approaches using the exemplar based inpainting algorithms. Thus, it is more efficient than existing algorithms that synthesize one virtual view at a time. This paper also describes the implementation of a simplified GPU accelerated version of the approach and its implementation in CUDA. Our CUDA method has sublinear complexity in terms of the number of views that need to be generated, which makes it especially useful for generating content for autostereoscopic displays that require many views to operate. An objective of our work is to allow the user to change depth and viewing perspective on the fly. Therefore, to further accelerate the CUDA variant of our approach, we present a modified version of our method to warp the background pixels from reference views to a middle view to recover background pixels. We then use an exemplar based inpainting method to fill in the occluded regions. We use warping of the foreground from the reference images and background from the filled regions to synthesize new virtual views on the fly. Our experimental results indicate that the simplified CUDA implementation decreases running time by orders of magnitude with negligible loss in quality. [Figure not available: see fulltext.

From patient care to research: a validation study examining the factors contributing to data quality in a primary care electronic medical record database.

PubMed

Coleman, Nathan; Halas, Gayle; Peeler, William; Casaclang, Natalie; Williamson, Tyler; Katz, Alan

2015-02-05

Electronic Medical Records (EMRs) are increasingly used in the provision of primary care and have been compiled into databases which can be utilized for surveillance, research and informing practice. The primary purpose of these records is for the provision of individual patient care; validation and examination of underlying limitations is crucial for use for research and data quality improvement. This study examines and describes the validity of chronic disease case definition algorithms and factors affecting data quality in a primary care EMR database. A retrospective chart audit of an age stratified random sample was used to validate and examine diagnostic algorithms applied to EMR data from the Manitoba Primary Care Research Network (MaPCReN), part of the Canadian Primary Care Sentinel Surveillance Network (CPCSSN). The presence of diabetes, hypertension, depression, osteoarthritis and chronic obstructive pulmonary disease (COPD) was determined by review of the medical record and compared to algorithm identified cases to identify discrepancies and describe the underlying contributing factors. The algorithm for diabetes had high sensitivity, specificity and positive predictive value (PPV) with all scores being over 90%. Specificities of the algorithms were greater than 90% for all conditions except for hypertension at 79.2%. The largest deficits in algorithm performance included poor PPV for COPD at 36.7% and limited sensitivity for COPD, depression and osteoarthritis at 72.0%, 73.3% and 63.2% respectively. Main sources of discrepancy included missing coding, alternative coding, inappropriate diagnosis detection based on medications used for alternate indications, inappropriate exclusion due to comorbidity and loss of data. Comparison to medical chart review shows that at MaPCReN the CPCSSN case finding algorithms are valid with a few limitations. This study provides the basis for the validated data to be utilized for research and informs users of its limitations. Analysis of underlying discrepancies provides the ability to improve algorithm performance and facilitate improved data quality.

Turbulence Time Series Data Hole Filling using Karhunen-Loeve and ARIMA methods

DTIC Science & Technology

2007-01-01

memory is represented by higher values of d. 4.1. ARIMA and EMD We applied an ARIMA (0,d,0) model to predict the behaviour of the final section of the...to a simplified ARIMA (0,d,0) model , which performed better than the linear interpolant but less effectively than the KL algorithm, disregarding edge...ar X iv :p hy si cs /0 70 12 38 v1 22 J an 2 00 7 Turbulence Time Series Data Hole Filling using Karhunen-Loève and ARIMA methods M P J L

Utility of cement injection to stabilize split-depression tibial plateau fracture by minimally invasive methods: A finite element analysis.

PubMed

Belaid, D; Vendeuvre, T; Bouchoucha, A; Brémand, F; Brèque, C; Rigoard, P; Germaneau, A

2018-05-08

Treatment for fractures of the tibial plateau is in most cases carried out by stable fixation in order to allow early mobilization. Minimally invasive technologies such as tibioplasty or stabilization by locking plate, bone augmentation and cement filling (CF) have recently been used to treat this type of fracture. The aim of this paper was to determine the mechanical behavior of the tibial plateau by numerically modeling and by quantifying the mechanical effects on the tibia mechanical properties from injury healing. A personalized Finite Element (FE) model of the tibial plateau from a clinical case has been developed to analyze stress distribution in the tibial plateau stabilized by balloon osteoplasty and to determine the influence of the cement injected. Stress analysis was performed for different stages after surgery. Just after surgery, the maximum von Mises stresses obtained for the fractured tibia treated with and without CF were 134.9 MPa and 289.9 MPa respectively on the plate. Stress distribution showed an increase of values in the trabecular bone in the treated model with locking plate and CF and stress reduction in the cortical bone in the model treated with locking plate only. The computed results of stresses or displacements of the fractured models show that the cement filling of the tibial depression fracture may increase implant stability, and decrease the loss of depression reduction, while the presence of the cement in the healed model renders the load distribution uniform. Copyright © 2018 Elsevier Ltd. All rights reserved.

Body dysmorphic disorder in aesthetic rhinoplasty candidates.

PubMed

Mr, Fathololoomi; Tabrizi A, Goljanian; Bafghi A, Fattahi; Sa, Noohi; A, Makhdoom

2013-01-01

Body Dysmorphic Disorder (BDD) is a psychiatric disorder defined as obsessive ideas about distorted physical appearance, leading to social, professional and personal dysfunction. Many of these patients seek aesthetic surgery and are generally dissatisfied with the outcome of their surgery. In the present study patients coming to the otolaryngology clinic of Thaleghani Hospital in Tehran seeking rhinoplasty were evaluated. Between October 2010 and October 2011, 130 patients seeking rhinoplasty were recruited in a cross-sectional study. These patients were consecutively interviewed in the otolaryngology clinic of Taleghani Hospital, Tehran, Iran. Questionnaires were filled containing demographic data. BDD was evaluated by a separate questionnaire. Hospital Anxiety and Depression Scale (HADS) questionnaire was filled to evaluate depression and anxiety. Data were analyzed by using SPSS software. The frequency and standard deviations were calculated. Differences between groups were evaluated by using the chi-square, and t-tests. Ninety nine (76.2%) of rhinoplasty candidates were female and thirty one (23.8%) were male. Eighty five (65.4%) were single and thirty eight (29.2%) were married while seven were divorced. About 63.8% were University students or University graduates. Mean age was 26.43±6.29 years old. 41 patients (31.5%) had BDD. Among BDD patients 12 (29.3%) had concurrent depression and 11 (26.8%) had concurrent anxiety. No statistically significant correlation was found between the presence or severity of BDD and age, gender, marital status, level of education and profession. Considering the high prevalence of Body Dysmorphic Disorder (BDD) among rhinoplasty candidates, psychiatric evaluation is advisable before surgery to avoid unnecessary operations and patient dissatisfaction.

Impact of valley fills on streamside salamanders in southern West Virginia

USGS Publications Warehouse

Wood, Petra Bohall; Williams, Jennifer M.

2013-01-01

Valley fills associated with mountaintop-removal mining bury stream headwaters and affect water quality and ecological function of reaches below fills. We quantified relative abundance of streamside salamanders in southern West Virginia during 2002 in three streams below valley fills (VFS) and in three reference streams (RS). We surveyed 36 10- × 2-m stream transects, once in summer and fall, paired by order and structure. Of 2,343 salamanders captured, 66.7% were from RS. Total salamanders (adults plus larvae) were more abundant in RS than VFS for first-order and second-order reaches. Adult salamanders had greater abundance in first-order reaches of RS than VFS. Larval salamanders were more abundant in second-order reaches of RS than VFS. No stream width or mesohabitat variables differed between VFS and RS. Only two cover variables differed. Silt cover, greater in VFS than RS first-order reaches, is a likely contributor to reduced abundance of salamanders in VFS. Second-order RS had more boulder cover than second-order VFS, which may have contributed to the higher total and larval salamander abundance in RS. Water chemistry assessments of our VFS and RS reported elevated levels of metal and ion concentrations in VFS, which can depress macroinvertebrate populations and likely affect salamander abundance. Valley fills appear to have significant negative effects on stream salamander abundance due to alterations in habitat structure, water quality and chemistry, and macroinvertebrate communities in streams below fills.

Contour Digitizing and Tagging Software (CONTAGRID).

DTIC Science & Technology

1980-04-01

TYPE TO TYPE FROM # * DELETE TYPE #1 #, #1 #1 #, e JOYN TYPE #, # * REORDER TYPE #, #1 #1 TYPE = INDEX, NON, DEPRESSION, CUT, FILL, # NUMBER Figure B...ERRCOD.N’.0)C’ TO 8020 SIZE - IOR( IAN ;D(4ZOIFE,ISL(mJF(1),-7)), + lAND(4ZFEOO,ISL(BUr(1),9))) iF(SIZE.GT.390)GO TO 8030 LM- 0 DO 110 I-1,SIZE CALL

Prevalence and Associated Factors of Depression in General Population of Korea: Results from the Korea National Health and Nutrition Examination Survey, 2014

PubMed Central

2017-01-01

Depressive disorder is a common mental illness and remains a major cause of morbidity worldwide. The present study, a cross-sectional, nationwide, population-based survey assessed the prevalence of depression in the general population of Korea through a random sampling of the non-institutionalized population for the Korea National Health and Nutrition Examination Survey (KNHANES) VI. The Patient Health Questionnaire (PHQ)-9 was first introduced into the KNHANES to detect depression. The point prevalence of depression (PHQ score of 10 or higher) was 6.7% (95% confidence interval [CI], 5.7–7.6) in 4,949 subjects. Based on the analysis using the diagnostic algorithm of the PHQ-9, the prevalence of major depressive disorder was 2.7% (95% CI, 2.2–3.3). Multiple logistic regression analysis, after adjusting the sociodemographic variables, also showed that the factors associated with depression were perceived stress and health status. This study reported for the first time that the point prevalence of depression screened using the PHQ-9 in this nationwide survey of the Korean population was similar to that of the western countries. As the KNHANES to detect depression is conducted biennially, further studies on the accumulated data are expected in the future. PMID:28960042

Incrementing data quality of multi-frequency echograms using the Adaptive Wiener Filter (AWF) denoising algorithm

NASA Astrophysics Data System (ADS)

Peña, M.

2016-10-01

Achieving acceptable signal-to-noise ratio (SNR) can be difficult when working in sparsely populated waters and/or when species have low scattering such as fluid filled animals. The increasing use of higher frequencies and the study of deeper depths in fisheries acoustics, as well as the use of commercial vessels, is raising the need to employ good denoising algorithms. The use of a lower Sv threshold to remove noise or unwanted targets is not suitable in many cases and increases the relative background noise component in the echogram, demanding more effectiveness from denoising algorithms. The Adaptive Wiener Filter (AWF) denoising algorithm is presented in this study. The technique is based on the AWF commonly used in digital photography and video enhancement. The algorithm firstly increments the quality of the data with a variance-dependent smoothing, before estimating the noise level as the envelope of the Sv minima. The AWF denoising algorithm outperforms existing algorithms in the presence of gaussian, speckle and salt & pepper noise, although impulse noise needs to be previously removed. Cleaned echograms present homogenous echotraces with outlined edges.

The hospital anxiety and depression scale--dimensionality, reliability and construct validity among cognitively intact nursing home patients.

PubMed

Haugan, Gørill; Drageset, Jorunn

2014-08-01

Depression and anxiety are particularly common among individuals living in long-term care facilities. Therefore, access to a valid and reliable measure of anxiety and depression among nursing home patients is highly warranted. To investigate the dimensionality, reliability and construct validity of the Hospital Anxiety and Depression scale (HADS) in a cognitively intact nursing home population. Cross-sectional data were collected from two samples; 429 cognitively intact nursing home patients participated, representing 74 different Norwegian nursing homes. Confirmative factor analyses and correlations with selected constructs were used. The two-factor model provided a good fit in Sample1, revealing a poorer fit in Sample2. Good-acceptable measurement reliability was demonstrated, and construct validity was supported. Using listwise deletion the sample sizes were 227 and 187, for Sample1 and Sample2, respectively. Greater sample sizes would have strengthen the statistical power in the tests. The researchers visited the participants to help fill in the questionnaires; this might have introduced some bias into the respondents׳ reporting. The 14 HADS items were part of greater questionnaires. Thus, frail, older NH patients might have tired during the interview causing a possible bias. Low reliability for depression was disclosed, mainly resulting from three items appearing to be inappropriate indicators for depression in this population. Further research is needed exploring which items might perform as more reliably indicators for depression among nursing home patients. Copyright © 2014 Elsevier B.V. All rights reserved.

Emotional Intelligence and Depressive Symptoms as Predictors of Happiness Among Adolescents.

PubMed

Abdollahi, Abbas; Abu Talib, Mansor; Motalebi, Seyedeh Ameneh

2015-12-01

Given that happiness is an important construct to enable adolescents to cope better with difficulties and stress of life, it is necessary to advance our knowledge about the possible etiology of happiness in adolescents. The present study sought to investigate the relationships of emotional intelligence, depressive symptoms, and happiness in a sample of male students in Tehran, Iran. This cross-sectional study was conducted on a sample of high school students in Tehran in 2012. The participants comprised of 188 male students (aged 16 to 19 years old) selected by multi-stage cluster sampling method. For gathering the data, the students filled out assessing emotions scale, Beck depression inventory-II, and Oxford happiness inventory. Data analysis was carried out using descriptive and analytical statistics in statistical package for social sciences (SPSS) software. The findings showed that a significant positive association existed between high ability of emotional intelligence and happiness (P < 0.01). Conversely, the low ability of emotional intelligence was associated with unhappiness (P < 0.01), there was a positive association between non-depression symptoms and happiness (P < 0.05), and severe depressive symptoms were positively associated with unhappiness (P < 0.01). High ability of emotional intelligence (P < 0.01) and non-depression symptoms (P < 0.05) were the strongest predictors of happiness. These findings reinforced the importance of emotional intelligence as a facilitating factor for happiness in adolescences. In addition, the findings suggested that depression symptoms may be harmful for happiness in adolescents.

Associations of fatigue to work-related stress, mental and physical health in an employed community sample.

PubMed

Rose, D M; Seidler, A; Nübling, M; Latza, U; Brähler, E; Klein, E M; Wiltink, J; Michal, M; Nickels, S; Wild, P S; König, J; Claus, M; Letzel, S; Beutel, M E

2017-05-05

While work-related fatigue has become an issue of concern among European employees, the relationship between fatigue, depression and work-related stressors is far from clear. The purposes of this study were (1) to determine the associations of fatigue with work-related stressors, severe medical disease, health behavior and depression in the working population and (2) to determine the unique impact of work-related stressors on fatigue. We used cross-sectional data of N = 7,930 working participants enrolled in the Gutenberg Health Study (GHS) from 2007 to 2012 filled out the Personal Burnout Scale (PBS) of the Copenhagen Psychosocial Questionnaire (COPSOQ), the PHQ-9, and a list of work-related stressors. A total of 27.5% reported increased fatigue, esp. women, younger persons with a lower social status and income, smokers, severely medically ill, previously and currently depressed participants. Fatigue was consistently associated with severe medical disease, health behavior and depression, which need to be taken into account as potential confounders when analyzing its relationship to work-related strains. Depression was consistently associated with work-related stressors. However, after statistically partialling out depression, fatigue was still significantly associated with work-related stress. Fatigue as an indicator of allostatic load is consistently associated with work-related stressors such as work overload after controlling for depression. The brief Personal Burn-out Scale is suitable for assessing work-related fatigue in the general population.

Effect of Music Practice on Anxiety and Depression of Iranian Dental Students

PubMed Central

Lotfollahzadeh, Hana; Kermani-Ranjbar, Tahereh; Kharazifard, Mohammad Javad

2017-01-01

Objectives: The practice of dentistry has long been associated with high levels of occupational stress and anxiety and music has been shown as a method of reducing stress. Considering the reportedly high level of stress among dental students and its consequences and also considering the positive effect of music therapy, the aim of this study was to evaluate the relationship between music practice and level of stress in dental students. Materials and Methods: In this analytical, cross-sectional study, 88 students, including 44 with a history of music practice and 44 matched controls without music practice who met the defined inclusion criteria, participated. Upon obtaining written informed consent, all volunteers filled the Beck anxiety inventory (BAI) and Beck depression inventory (BDI) questionnaires. Data were analyzed using the Kolmogorov-Smirnov test, and multiple linear regression test with backward method was used to evaluate the effect of demographic factors on anxiety and depression scores. Results: The level of anxiety was higher in students who did not have music practice and this difference was significant (P<0.001). The same was observed for depression (P=0.027). Other factors including age, gender, and being far from family had no significant effect on depression and anxiety (P>0.05). But level of anxiety and depression was higher in students of universities with tuition fee compared to free public institutes (P<0.05). Conclusions: It may be concluded that music practice can reduce anxiety and depression of dental students. PMID:29167685

Effect of Music Practice on Anxiety and Depression of Iranian Dental Students.

PubMed

Ghasemi, Mahmood; Lotfollahzadeh, Hana; Kermani-Ranjbar, Tahereh; Kharazifard, Mohammad Javad

2017-05-01

The practice of dentistry has long been associated with high levels of occupational stress and anxiety and music has been shown as a method of reducing stress. Considering the reportedly high level of stress among dental students and its consequences and also considering the positive effect of music therapy, the aim of this study was to evaluate the relationship between music practice and level of stress in dental students. In this analytical, cross-sectional study, 88 students, including 44 with a history of music practice and 44 matched controls without music practice who met the defined inclusion criteria, participated. Upon obtaining written informed consent, all volunteers filled the Beck anxiety inventory (BAI) and Beck depression inventory (BDI) questionnaires. Data were analyzed using the Kolmogorov-Smirnov test, and multiple linear regression test with backward method was used to evaluate the effect of demographic factors on anxiety and depression scores. The level of anxiety was higher in students who did not have music practice and this difference was significant (P<0.001). The same was observed for depression (P=0.027). Other factors including age, gender, and being far from family had no significant effect on depression and anxiety (P>0.05). But level of anxiety and depression was higher in students of universities with tuition fee compared to free public institutes (P<0.05). It may be concluded that music practice can reduce anxiety and depression of dental students.

Self-reported sleep quality, weight status and depression in young adult twins and siblings.

PubMed

Sawyer, Alexia; Fisher, Abi; Llewellyn, Clare; Gregory, Alice M

2015-01-01

Research supporting relationships between sleep quality, weight, depression and anxiety has typically examined the relationships separately rather than simultaneously, potentially hampering insights into the characteristics of reported links. This study aimed to fill this gap in the research to provide further insight into the factors associated with sleep. Data from wave 4 of the G1219 cohort were used in cross-sectional analyses. The sample comprised 1392 adult twins and siblings aged 18-27 years. Participants completed a self-report questionnaire which included the Pittsburgh Sleep Quality Index as a measure of sleep quality, the Short Mood and Feelings Questionnaire as a measure of depression symptoms and the Revised Symptoms of Anxiety Scale as a measure of anxiety symptoms. Participants were asked to self-report general health and weight and height so researchers could derive weight status from measures of body mass index. An analysis of covariance including weight status, depression, anxiety and general health as predictors and sleep quality as the outcome revealed main effects of depression (F(3,1163) = 10.93, p < 0.001) and general health (F(4,1163) = 5.72, p < 0.001) only. A direct relationship between weight and sleep should not be assumed as it is possible that the relationship is at least in part accounted for by depression symptoms or general health. Depression symptoms and general health may also account for the association between sleep quality and anxiety symptoms in young adults.

Association Between Chewing Difficulty and Symptoms of Depression in Adults: Results from the Korea National Health and Nutrition Examination Survey.

PubMed

Shin, Hye-Sun; Ahn, Yong-Soon; Lim, Do-Seon

2016-12-01

To assess the association between chewing difficulty and symptoms of depression in a representative sample of the Korean population. Cross-sectional. Korea National Health and Nutrition Examination Survey (KNHANES). KNHANES participants (N = 5,158). Chewing difficulty was assessed according to the self-reported presence of chewing problems using a structured questionnaire. Symptoms of depression were defined as having feelings of sadness or depression consecutively over 2 weeks during the last 12 months. Multivariable logistic regression analysis was used to determine the adjusted odds ratios (AORs) and 95% confidence intervals (CIs) of the associations between chewing difficulty and symptoms of depression, adjusted for age; sex; monthly household income; education; number of teeth; number of decayed, missing, or filled permanent teeth; periodontitis; state of dentition; tooth brushing frequency; regular dental visits; smoking status; alcohol consumption; hypertension; diabetes mellitus; and obesity. The interaction effects between chewing difficulty and confounders were evaluated, and age- and sex-stratified analyses were performed. There was a significant positive association between chewing difficulty and symptoms of depression in the fully adjusted model (AOR = 1.86, 95% CI = 1.48-2.33). The strength of the association was highest in men aged 60 and older (AOR = 3.28, 95% CI = 1.54-7.00). Chewing difficulty was independently associated with symptoms of depression in a representative sample of Korean adults. © 2016, Copyright the Authors Journal compilation © 2016, The American Geriatrics Society.

Numerical simulation of electromagnetic waves in Schwarzschild space-time by finite difference time domain method and Green function method

NASA Astrophysics Data System (ADS)

Jia, Shouqing; La, Dongsheng; Ma, Xuelian

2018-04-01

The finite difference time domain (FDTD) algorithm and Green function algorithm are implemented into the numerical simulation of electromagnetic waves in Schwarzschild space-time. FDTD method in curved space-time is developed by filling the flat space-time with an equivalent medium. Green function in curved space-time is obtained by solving transport equations. Simulation results validate both the FDTD code and Green function code. The methods developed in this paper offer a tool to solve electromagnetic scattering problems.

Development and validation of a risk prediction algorithm for the recurrence of suicidal ideation among general population with low mood.

PubMed

Liu, Y; Sareen, J; Bolton, J M; Wang, J L

2016-03-15

Suicidal ideation is one of the strongest predictors of recent and future suicide attempt. This study aimed to develop and validate a risk prediction algorithm for the recurrence of suicidal ideation among population with low mood 3035 participants from U.S National Epidemiologic Survey on Alcohol and Related Conditions with suicidal ideation at their lowest mood at baseline were included. The Alcohol Use Disorder and Associated Disabilities Interview Schedule, based on the DSM-IV criteria was used. Logistic regression modeling was conducted to derive the algorithm. Discrimination and calibration were assessed in the development and validation cohorts. In the development data, the proportion of recurrent suicidal ideation over 3 years was 19.5 (95% CI: 17.7, 21.5). The developed algorithm consisted of 6 predictors: age, feelings of emptiness, sudden mood changes, self-harm history, depressed mood in the past 4 weeks, interference with social activities in the past 4 weeks because of physical health or emotional problems and emptiness was the most important risk factor. The model had good discriminative power (C statistic=0.8273, 95% CI: 0.8027, 0.8520). The C statistic was 0.8091 (95% CI: 0.7786, 0.8395) in the external validation dataset and was 0.8193 (95% CI: 0.8001, 0.8385) in the combined dataset. This study does not apply to people with suicidal ideation who are not depressed. The developed risk algorithm for predicting the recurrence of suicidal ideation has good discrimination and excellent calibration. Clinicians can use this algorithm to stratify the risk of recurrence in patients and thus improve personalized treatment approaches, make advice and further intensive monitoring. Copyright © 2016 Elsevier B.V. All rights reserved.

Depressive symptoms, suicidal ideation and acne: a study of male Finnish conscripts.

PubMed

Rehn, L M H; Meririnne, E; Höök-Nikanne, J; Isometsä, E; Henriksson, M

2008-05-01

To investigate the association among acne, depressive symptoms and suicidal ideation in Finnish male military conscripts. Consecutive 165 acne patients and 150 patients with mild knee symptoms for comparison were enrolled in the study conducted in the Central Military Hospital, Helsinki, Finland. They filled out the following questionnaires: General Health Questionnaire (GHQ-12), Beck Depression Inventory (BDI), Alcohol Use Disorders Identification Test and Rosenberg Self-Esteem Scale. The Leeds acne grading scale was used to estimate the severity of acne. Sixteen (9.7%) acne patients and 20 (13.3%) comparison patients had at least moderate level of depressive symptoms (BDI score 10; P > 0.05, between groups). Suicidal ideation (BDI suicidal item score 1) was reported by 24 (14.5%) acne patients and 16 (10.7%) comparison patients (P > 0.05, between groups). When comparing the mild facial acne patients (Leeds score 0-3) with those with moderate-severe facial acne (Leeds score 4), there were no statistical differences in depressive symptoms (9.5% vs. 10.0%) or suicidal ideation (13.7% vs. 15.7%). No linear relationship was observed between the BDI and facial Leeds scores (P > 0.05). Risk factors for suicidal ideation among the acne patients were depression and alcohol risk use. Young male patients with acne do not suffer more depressive symptoms or suicidal ideation than patients with mild knee symptoms, and the severity of acne is not associated with the presence of depressive symptoms. The risk factors for suicidal ideation among acne patients seem to be similar to those found in the general population.

Maternal bonding in mothers with postpartum anxiety disorder: the crucial role of subclinical depressive symptoms and maternal avoidance behaviour.

PubMed

Tietz, A; Zietlow, A-L; Reck, C

2014-10-01

Hardly any research has examined the link between postpartum anxiety disorder and maternal bonding. This study examined if postpartum anxiety disorder and maternal bonding are related in the postpartum period. Thereby, subclinical depressive symptoms and specific aspects of an anxious symptomatology were also taken into consideration. The German sample of N = 78 mother-infant dyads is composed of n = 30 mothers with postpartum anxiety disorders but without major or minor depression according to the Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) and n = 48 healthy mothers. Subjects were interviewed with the Structured Clinical Interview for DSM-IV Disorders at an average infant age of M = 4.1 months. Moreover, mothers filled out the Postpartum Bonding Questionnaire-16. The Anxiety Cognitions Questionnaire, the Body Sensations Questionnaire and the Mobility Inventory were chosen to assess different aspects of anxious symptomatology. To control for concurrent subclinical depressive symptoms, we used the German Edinburgh-Postnatal-Depression Scale. Mothers with postpartum anxiety disorder reported significantly lower bonding than healthy mothers. However, in a linear regression analysis, concurrent subclinical depressive symptoms and avoidance of anxiety-related situations in company explained 27 % of the overall variance in maternal bonding. The perceived lower bonding of mothers with anxiety disorder could be due to aspects of a concurrent subclinical depressive symptomatology. This notion emphasizes the need to target even mild depressive symptoms in the treatment of postpartum anxiety disorders. The outcomes also underline that the severity of anxious symptomatology, reflected by avoidance behaviour in company, puts the mother-infant bond at risk.

Depressive Symptoms and Their Interactions With Emotions and Personality Traits Over Time: Interaction Networks in a Psychiatric Clinic.

PubMed

Semino, Laura N; Marksteiner, Josef; Brauchle, Gernot; Danay, Erik

2017-04-13

Associations between depression, personality traits, and emotions are complex and reciprocal. The aim of this study is to explore these interactions in dynamical networks and in a linear way over time depending on the severity of depression. Participants included 110 patients with depressive symptoms (DSM-5 criteria) who were recruited between October 2015 and February 2016 during their inpatient stay in a general psychiatric hospital in Hall in Tyrol, Austria. The patients filled out the Beck Depression Inventory-II, a German emotional competence questionnaire (Emotionale Kompetenz Fragebogen), Positive and Negative Affect Schedule, and the German versions of the Big Five Inventory-short form and State-Trait-Anxiety-Depression Inventory regarding symptoms, emotions, and personality during their inpatient stay and at a 3-month follow-up by mail. Network and regression analyses were performed to explore interactions both in a linear and a dynamical way at baseline and 3 months later. Regression analyses showed that emotions and personality traits gain importance for the prediction of depressive symptoms with decreasing symptomatology at follow-up (personality: baseline, adjusted R2 = 0.24, P < .001; follow-up, adjusted R2 = 0.65, P < .001). Network analyses additionally showed that the interaction network of depression, emotions, and personality traits is significantly denser and more interconnected (network comparison test: P = .03) at follow-up than at baseline, meaning that with decreased symptoms interconnections get stronger. During depression, personality traits and emotions are walled off and not strongly interconnected with depressive symptoms in networks. With decreasing depressive symptomatology, interfusing of these areas begins and interconnections become stronger. This finding has practical implications for interventions in an acute depressive state and with decreased symptoms. The network approach offers a new perspective on interactions and is a way to make the complexity of these interactions more tangible. © Copyright 2017 Physicians Postgraduate Press, Inc.

Postnatal depression screening in a paediatric primary care setting in Italy.

PubMed

Clavenna, Antonio; Seletti, Elena; Cartabia, Massimo; Didoni, Anna; Fortinguerra, Filomena; Sciascia, Teresa; Brivio, Luca; Malnis, Daniela; Bonati, Maurizio

2017-01-25

Postnatal depression is a non-psychotic depressive disorder that begins within 4 weeks of childbirth and occurs in 13% of mothers and 10% of fathers. A prospective study with the aim to evaluate the prevalence of postnatal depression by screening parents with the Edinburgh Postnatal Depression Scale (EPDS) in the Italian paediatric primary care setting was performed. Mothers and fathers of infants born between 1 February and 31 July 2012, living in Italy's Milan-1 local health unit area, represented the target population of this pilot study. Parents attending well-child visits at any of the family paediatricians' offices between 60 to 90 days postpartum were asked to participate in the screening and to fill out the EPDS questionnaire. A cut-off score of 12 was used to identify parents with postnatal depression symptoms. Maternal and paternal socio-demographic variables and information concerning pregnancy and delivery were also collected. To investigate the association between screening positivity (dependent variable) and socio-demographic variables and factors related to pregnancy and delivery, a Pearson's χ2 test was used. Moreover, a stepwise multivariate logistic regression was carried out to evaluate the risk factors that most influence the probability of suffering from postnatal depression. In all, 126 out of 2706 (4.7%, 95% CI 3.9-5.5%) mothers and 24 out of 1420 (1.7%, 95% CI 1.0-2.4%) fathers were found to be positive for depressive symptoms. Women with mood disorders and anxiety during pregnancy were at increased risk of postpartum depression (OR 22.9, 95% CI 12.1-43.4). Only 11 mothers (8.7%) positive to EPDS screening attended a psychiatric service, and for 8 of them the diagnosis of postnatal depression was confirmed. The prevalence of postnatal depression was lower than previously reported. Routine screening resulted ineffective, since few mothers found positive for depression symptoms decided to attend psychiatric services.

Digital spatial data for observed, predicted, and misclassification errors for observations in the training dataset for nitrate and arsenic concentrations in basin-fill aquifers in the Southwest Principal Aquifers study area

USGS Publications Warehouse

McKinney, Tim S.; Anning, David W.

2012-01-01

This product "Digital spatial data for observed, predicted, and misclassification errors for observations in the training dataset for nitrate and arsenic concentrations in basin-fill aquifers in the Southwest Principal Aquifers study area" is a 1:250,000-scale point spatial dataset developed as part of a regional Southwest Principal Aquifers (SWPA) study (Anning and others, 2012). The study examined the vulnerability of basin-fill aquifers in the southwestern United States to nitrate contamination and arsenic enrichment. Statistical models were developed by using the random forest classifier algorithm to predict concentrations of nitrate and arsenic across a model grid that represents local- and basin-scale measures of source, aquifer susceptibility, and geochemical conditions.

The relationship between parental depressive symptoms, family type, and adolescent functioning.

PubMed

Sieh, Dominik Sebastian; Sieh, Dominik Sebstian; Visser-Meily, Johanna Maria Augusta; Meijer, Anne Marie

2013-01-01

It is evident that parental depressive symptoms negatively influence adolescent behavior and various psychosocial outcomes. Certain family types like families with a chronically ill parent and single parent families are more vulnerable to parental depressive symptoms. However, the relationship between these symptoms, family type, and adolescent functioning remains largely unclear. This study examined relations between self-report of parental depressive symptoms and adolescent functioning in 86 two-parent families including a parent with a chronic medical condition, 94 families with healthy single parents, and 69 families with 2 healthy parents (comparison group). Parents completed the Beck Depression Inventory. Adolescents filled in the Youth Self-Report measuring problem behavior, and other instruments measuring psychosocial outcomes (stress, grade point average, school problems, and self-esteem). Multilevel analyses were used to examine the effects of family type, parental depressive symptoms, adolescents' gender and age, and interaction effects on adolescent functioning. The results indicated that adolescents with chronically ill and single parents had a lower grade point average (p<.01) than the comparison group. Adolescents of single parents reported more internalizing problems (p<.01) and externalizing problems (p<.05) than children from the other family types. Parental depressive symptoms were strongly related to child report of stress (p<.001). Adolescents of depressed chronically ill parents were particularly vulnerable to internalizing problems (interaction effect, p<.05). Older children and girls, and especially older girls, displayed more internalizing problems and stress. It can be concluded that growing up with a chronically ill parent in a family with 2 parents may have less impact on adolescent problem behavior than growing up in a single parent family. Health practitioners are encouraged to be attentive to the unique and combined influence of family type and parental depressive symptoms on adolescent functioning. Older and female adolescents deserve particular attention.

Meta-cognitive beliefs as a mediator for the relationship between Cloninger's temperament and character dimensions and depressive and anxiety symptoms among healthy subjects.

PubMed

Gawęda, Łukasz; Kokoszka, Andrzej

2014-05-01

Previous studies suggest that temperament and character may impact depression and anxiety through dysfunctional cognition. This study targets the mediating role of meta-cognitive beliefs in the relationship between Cloninger's temperament and character dimensions and symptoms of depression and anxiety. One hundred and sixty-one healthy subjects filled out Cloninger's Temperament Character Inventory (TCI), a Metacognitions Questionnaire (MCQ), the Beck Depression Inventory (BDI) and the State and Trait Anxiety Inventory (STAI). Correlation and mediation analyses according to Baron and Kenny's method were performed. Harm avoidance (HA) and self-directedness (SD) were related to depression and anxiety. HA was related to negative beliefs about uncontrollability of thoughts and to beliefs about cognitive confidence. SD was associated with the same types of meta-cognitive beliefs and with general negative beliefs. Cooperativeness (CO) was related to positive beliefs about worry, beliefs about cognitive confidence and to general negative beliefs. Self-transcendence (ST) was related to all types of meta-cognitive beliefs. Mediation analysis revealed that the relationship between HA and depression and anxiety is partially mediated by certain types of meta-cognitive beliefs. The same results were obtained for the relationship between SD and depression and anxiety. General negative beliefs fully mediated the relationship between CO and depression and the relationship between ST and anxiety. Meta-cognitive beliefs mediate the relationship between temperament and character dimension and depressive and anxiety symptoms, thus providing further evidence for the meta-cognitive theory of emotional disorders as presented by Wells and Matthews (Behav Res Ther 1996;32:867-870). Copyright © 2014 Elsevier Inc. All rights reserved.

Systematically evaluating read-across prediction and performance using a local validity approach characterized by chemical structure and bioactivity information

EPA Science Inventory

Read-across is a popular data gap filling technique within category and analogue approaches for regulatory purposes. Acceptance of read-across remains an ongoing challenge with several efforts underway for identifying and addressing uncertainties. Here we demonstrate an algorithm...

Psilocybin for treatment-resistant depression: fMRI-measured brain mechanisms.

PubMed

Carhart-Harris, Robin L; Roseman, Leor; Bolstridge, Mark; Demetriou, Lysia; Pannekoek, J Nienke; Wall, Matthew B; Tanner, Mark; Kaelen, Mendel; McGonigle, John; Murphy, Kevin; Leech, Robert; Curran, H Valerie; Nutt, David J

2017-10-13

Psilocybin with psychological support is showing promise as a treatment model in psychiatry but its therapeutic mechanisms are poorly understood. Here, cerebral blood flow (CBF) and blood oxygen-level dependent (BOLD) resting-state functional connectivity (RSFC) were measured with functional magnetic resonance imaging (fMRI) before and after treatment with psilocybin (serotonin agonist) for treatment-resistant depression (TRD). Quality pre and post treatment fMRI data were collected from 16 of 19 patients. Decreased depressive symptoms were observed in all 19 patients at 1-week post-treatment and 47% met criteria for response at 5 weeks. Whole-brain analyses revealed post-treatment decreases in CBF in the temporal cortex, including the amygdala. Decreased amygdala CBF correlated with reduced depressive symptoms. Focusing on a priori selected circuitry for RSFC analyses, increased RSFC was observed within the default-mode network (DMN) post-treatment. Increased ventromedial prefrontal cortex-bilateral inferior lateral parietal cortex RSFC was predictive of treatment response at 5-weeks, as was decreased parahippocampal-prefrontal cortex RSFC. These data fill an important knowledge gap regarding the post-treatment brain effects of psilocybin, and are the first in depressed patients. The post-treatment brain changes are different to previously observed acute effects of psilocybin and other 'psychedelics' yet were related to clinical outcomes. A 'reset' therapeutic mechanism is proposed.

[Factor structure of symptoms in the Kraków Depression inventory (KID) IO "C1"].

PubMed

Modrzejewska, Renata; Bomba, Jacek; Beauvale, Andrzej

2010-01-01

The aim of this article is partial empirical verification of the depression image theoretical concept underlying the KID IO"C1" construction, and also, a check of the questionnaire's factor relevancy. KID results of a study of an untreated population sample of 17-year-olds were analysed statistically. Out of 1823 questionnaires, 1349 were included in the analysis (560 filled in by boys and 789 girls by girls). Of these, 499 respondents received a screening diagnosis of depression. 474 sheets were rejected at random to standardise the distribution of the overall scale results. In search of the presence of a general factor and to verify the legitimacy of the division of depressive symptoms according to the clinical criterion, factor analyses were conducted using the principal components method with oblimin, quatrimax and varimax rotations separately and jointly for both sexes. The following new factors were identified: I--pessimism, II--mood instability, III--difficulty in learning, IV--self-destruction, V--fear of the future, VI--eating problems. The analyses conducted only partially confirm the validity ofa clinical-picture based questionnaire. A non-compliance of a number of factors with the assumed questionnaire scales emerges. A non-uniform symptomatic depression image in late adolescence phase is confirmed. Two factors stand out decidedly: self-destructive behaviours and eating problems.

Likelihood-based gene annotations for gap filling and quality assessment in genome-scale metabolic models

DOE PAGES

Benedict, Matthew N.; Mundy, Michael B.; Henry, Christopher S.; ...

2014-10-16

Genome-scale metabolic models provide a powerful means to harness information from genomes to deepen biological insights. With exponentially increasing sequencing capacity, there is an enormous need for automated reconstruction techniques that can provide more accurate models in a short time frame. Current methods for automated metabolic network reconstruction rely on gene and reaction annotations to build draft metabolic networks and algorithms to fill gaps in these networks. However, automated reconstruction is hampered by database inconsistencies, incorrect annotations, and gap filling largely without considering genomic information. Here we develop an approach for applying genomic information to predict alternative functions for genesmore » and estimate their likelihoods from sequence homology. We show that computed likelihood values were significantly higher for annotations found in manually curated metabolic networks than those that were not. We then apply these alternative functional predictions to estimate reaction likelihoods, which are used in a new gap filling approach called likelihood-based gap filling to predict more genomically consistent solutions. To validate the likelihood-based gap filling approach, we applied it to models where essential pathways were removed, finding that likelihood-based gap filling identified more biologically relevant solutions than parsimony-based gap filling approaches. We also demonstrate that models gap filled using likelihood-based gap filling provide greater coverage and genomic consistency with metabolic gene functions compared to parsimony-based approaches. Interestingly, despite these findings, we found that likelihoods did not significantly affect consistency of gap filled models with Biolog and knockout lethality data. This indicates that the phenotype data alone cannot necessarily be used to discriminate between alternative solutions for gap filling and therefore, that the use of other information is necessary to obtain a more accurate network. All described workflows are implemented as part of the DOE Systems Biology Knowledgebase (KBase) and are publicly available via API or command-line web interface.« less

Likelihood-Based Gene Annotations for Gap Filling and Quality Assessment in Genome-Scale Metabolic Models

PubMed Central

Benedict, Matthew N.; Mundy, Michael B.; Henry, Christopher S.; Chia, Nicholas; Price, Nathan D.

2014-01-01

Genome-scale metabolic models provide a powerful means to harness information from genomes to deepen biological insights. With exponentially increasing sequencing capacity, there is an enormous need for automated reconstruction techniques that can provide more accurate models in a short time frame. Current methods for automated metabolic network reconstruction rely on gene and reaction annotations to build draft metabolic networks and algorithms to fill gaps in these networks. However, automated reconstruction is hampered by database inconsistencies, incorrect annotations, and gap filling largely without considering genomic information. Here we develop an approach for applying genomic information to predict alternative functions for genes and estimate their likelihoods from sequence homology. We show that computed likelihood values were significantly higher for annotations found in manually curated metabolic networks than those that were not. We then apply these alternative functional predictions to estimate reaction likelihoods, which are used in a new gap filling approach called likelihood-based gap filling to predict more genomically consistent solutions. To validate the likelihood-based gap filling approach, we applied it to models where essential pathways were removed, finding that likelihood-based gap filling identified more biologically relevant solutions than parsimony-based gap filling approaches. We also demonstrate that models gap filled using likelihood-based gap filling provide greater coverage and genomic consistency with metabolic gene functions compared to parsimony-based approaches. Interestingly, despite these findings, we found that likelihoods did not significantly affect consistency of gap filled models with Biolog and knockout lethality data. This indicates that the phenotype data alone cannot necessarily be used to discriminate between alternative solutions for gap filling and therefore, that the use of other information is necessary to obtain a more accurate network. All described workflows are implemented as part of the DOE Systems Biology Knowledgebase (KBase) and are publicly available via API or command-line web interface. PMID:25329157

Effect of propofol versus sodium thiopental on electroconvulsive therapy in major depressive disorder: a randomized double-blind controlled clinical trial.

PubMed

Purtuloğlu, Tark; Özdemir, Barbaros; Erdem, Murat; Deniz, Süleyman; Balkç, Adem; Ünlü, Gazi; Öznur, Taner

2013-03-01

To compare propofol and sodium thiopental as anesthetic agents for electroconvulsive therapy (ECT) in major depression with respect to clinical effect. Participants were composed of 96 patients with depression who were administered either propofol or sodium thiopental as an anesthetic agent for bilateral ECT. The Hamilton Depression Rating Scale was administered at baseline and after 6 treatments. Algorithm-based charge dosing was used. There was a statistically significant difference between the groups regarding postintervention Hamilton Depression Rating Scale score. The preintervention mean (SD) scores in the propofol group and the sodium thiopental group were 37.3 (2.2) and 36.7 (1.2), respectively. The postintervention mean (SD) scores in the propofol group and the sodium thiopental group were 10.7 (1.8) and 13.4 (3.3), respectively. No correlation was found between clinical response and age, weight, and body mass index. There was no association between the groups' seizure time and duration of recovery. In conclusion, propofol may improve major depressive disorder more than sodium thiopental in patients who are receiving ECT.

Abnormal early dynamic individual patterns of functional networks in low gamma band for depression recognition.

PubMed

Bi, Kun; Chattun, Mahammad Ridwan; Liu, Xiaoxue; Wang, Qiang; Tian, Shui; Zhang, Siqi; Lu, Qing; Yao, Zhijian

2018-06-13

The functional networks are associated with emotional processing in depression. The mapping of dynamic spatio-temporal brain networks is used to explore individual performance during early negative emotional processing. However, the dysfunctions of functional networks in low gamma band and their discriminative potentialities during early period of emotional face processing remain to be explored. Functional brain networks were constructed from the MEG recordings of 54 depressed patients and 54 controls in low gamma band (30-48 Hz). Dynamic connectivity regression (DCR) algorithm analyzed the individual change points of time series in response to emotional stimuli and constructed individualized spatio-temporal patterns. The nodal characteristics of patterns were calculated and fed into support vector machine (SVM). Performance of the classification algorithm in low gamma band was validated by dynamic topological characteristics of individual patterns in comparison to alpha and beta band. The best discrimination accuracy of individual spatio-temporal patterns was 91.01% in low gamma band. Individual temporal patterns had better results compared to group-averaged temporal patterns in all bands. The most important discriminative networks included affective network (AN) and fronto-parietal network (FPN) in low gamma band. The sample size is relatively small. High gamma band was not considered. The abnormal dynamic functional networks in low gamma band during early emotion processing enabled depression recognition. The individual information processing is crucial in the discovery of abnormal spatio-temporal patterns in depression during early negative emotional processing. Individual spatio-temporal patterns may reflect the real dynamic function of subjects while group-averaged data may neglect some individual information. Copyright © 2018. Published by Elsevier B.V.

Utopia and Hellas basins, Mars: Twins separated at birth

NASA Astrophysics Data System (ADS)

Searls, Mindi L.; Banerdt, W. Bruce; Phillips, Roger J.

2006-08-01

Using topography and gravity data as constraints, we formulate spherical harmonic thin elastic-shell models to determine the subsurface structure of the Hellas and Utopia basins. For Hellas, we show that our model is consistent with the elastic thickness results of McGovern et al. (2002, 2004). The thin elastic lithosphere at the time of formation implies that Hellas is close to isostatic. Since Utopia formed earlier, we argue that an isostatic assumption is justified for the Utopia basin before it was filled. From this supposition, we derive a system of equations that allows us to solve for the amount of fill, the prefill topography, and the amount of flexure due to the fill within the Utopia basin. An analysis of the parameter space shows that the fill density and the amount of fill is strongly dependent on the elastic thickness at the time of infilling. A thinner elastic lithosphere favors a denser fill, while a thicker lithosphere will allow for less dense material. Likewise, larger crustal thickness values lead to smaller fill density values. The presence of quasi-circular depressions, interpreted as impact craters, within the Utopia basin indicates that the majority of the material within Utopia was deposited prior to 4.04-4.11 Ga. The early timing for the deposition combined with the heat imparted by the basin forming event argues for a thinner lithosphere which could, in turn, suggest fill densities that are more consistent with a volcanic load than with pure sediment or ice-rich material. These results are supported using an alternative method of determining the amount of fill and flexure within Utopia. This model assumes that Hellas and Utopia were initially identical and that the only difference in their subsequent evolution was the addition of material in the Utopia basin. The volume of material needed to fill Utopia is immense (on the order of 50 million km3 or more). The high density obtained for the fill requires that it contain a large igneous component, the source of which is problematic. Relaxing the isostatic assumption to a reasonable degree perturbs the density bound only slightly.

Convergence in Patient-Therapist Therapeutic Alliance Ratings and Its Relation to Outcome in Chronic Depression Treatment

PubMed Central

Laws, Holly B.; Constantino, Michael J.; Sayer, Aline G.; Klein, Daniel N.; Kocsis, James H.; Manber, Rachel; Markowitz, John C.; Rothbaum, Barbara O.; Steidtmann, Dana; Thase, Michael E.; Arnow, Bruce A.

2016-01-01

Objective This study tested whether discrepancy between patients' and therapists' ratings of the therapeutic alliance, as well as convergence in their alliance ratings over time, predicted outcome in chronic depression treatment. Method Data derived from a controlled trial of partial or non-responders to open-label pharmacotherapy subsequently randomized to 12 weeks of algorithm-driven pharmacotherapy alone or pharmacotherapy plus psychotherapy (Kocsis et al., 2009). The current study focused on the psychotherapy conditions (N = 357). Dyadic multilevel modeling was used to assess alliance discrepancy and alliance convergence over time as predictors of two depression measures: one pharmacotherapist-rated (Quick Inventory of Depressive Symptoms-Clinician; QIDS-C), the other blind interviewer-rated (Hamilton Rating Scale for Depression; HAMD). Results Patients' and therapists' alliance ratings became more similar, or convergent, over the course of psychotherapy. Higher alliance convergence was associated with greater reductions in QIDS-C depression across psychotherapy. Alliance convergence was not significantly associated with declines in HAMD depression; however, greater alliance convergence was related to lower HAMD scores at 3-month follow-up. Conclusions The results partially support the hypothesis that increasing patient-therapist consensus on alliance quality during psychotherapy may improve treatment and longer-term outcomes. PMID:26829714

Algorithm-guided treatment of depression reduces treatment costs--results from the randomized controlled German Algorithm Project (GAPII).

PubMed

Ricken, Roland; Wiethoff, Katja; Reinhold, Thomas; Schietsch, Kathrin; Stamm, Thomas; Kiermeir, Julia; Neu, Peter; Heinz, Andreas; Bauer, Michael; Adli, Mazda

2011-11-01

The German Algorithm Project, Phase 2 (GAP2) revealed that a standardized stepwise treatment regimen (SSTR) results in better treatment outcomes than treatment as usual (TAU) in depressed inpatients. The objective of this study was a health economic evaluation of SSTR based on a cost effectiveness analysis (CEA). GAP2 was a randomized controlled study with 148 patients. In an intention to treat (ITT) analysis direct treatment costs for study duration (SD) and total time in hospital (TTH; enrolment to discharge) were calculated based on daily hospital charges followed by a CEA to calculate cost expenditure per remitted patient. Treatment costs in SSTR compared to TAU were significantly lower for SD (SSTR: 10 830 € ± 8 632 €, TAU: 15 202 € ± 12 483 €; p = 0.026) and did not differ significantly for TTH (SSTR: 21 561 € ± 16 162 €; TAU: 18 248 € ± 13 454; p = 0.208). CEA revealed that the costs per remission in SSTR were significantly lower for SD (SSTR: 20 035 € ± 15 970 €; SSTR: 38 793 € ± 31 853 €; p<0.0001) and TTH (SSTR: 31 285 € ± 23 451 €; TAU: 38 581 € ± 28 449 €, p = 0.041). Indirect costs were not assessed. Different dropout rates in TAU and SSTR complicated interpretation of data. An SSTR-based algorithm results in a superior cost effectiveness at no significant extra costs. Implementation of treatment algorithms in inpatient-care may help reduce treatment costs. Copyright © 2011 Elsevier B.V. All rights reserved.

Machine vision guided sensor positioning system for leaf temperature assessment

NASA Technical Reports Server (NTRS)

Kim, Y.; Ling, P. P.; Janes, H. W. (Principal Investigator)

2001-01-01

A sensor positioning system was developed for monitoring plants' well-being using a non-contact sensor. Image processing algorithms were developed to identify a target region on a plant leaf. A novel algorithm to recover view depth was developed by using a camera equipped with a computer-controlled zoom lens. The methodology has improved depth recovery resolution over a conventional monocular imaging technique. An algorithm was also developed to find a maximum enclosed circle on a leaf surface so the conical field-of-view of an infrared temperature sensor could be filled by the target without peripheral noise. The center of the enclosed circle and the estimated depth were used to define the sensor 3-D location for accurate plant temperature measurement.

The prevalence of depression and the accuracy of depression screening tools in migraine patients.

PubMed

Amoozegar, Farnaz; Patten, Scott B; Becker, Werner J; Bulloch, Andrew G M; Fiest, Kirsten M; Davenport, W Jeptha; Carroll, Christopher R; Jette, Nathalie

2017-09-01

Migraine and depression are common comorbid conditions. The purpose of this study was to assess how well the Patient Health Questionnaire (PHQ-9) and the Hospital Anxiety and Depression Scale (HADS) perform as depression screening tools in patients with migraine. Three hundred consecutive migraine patients were recruited from a large headache center. The PHQ-9 and HADS were self-administered and validated against the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-IV, a gold standard for the diagnosis of depression. Sensitivity, specificity, positive predictive value, negative predictive value and receiver-operator characteristic curves were calculated for the PHQ-9 and HADS. At the traditional cut-point of 10, the PHQ-9 demonstrated 82.0% sensitivity and 79.9% specificity. At a cut-point of 8, the HADS demonstrated 86.5% sensitivity and specificity. The PHQ-9 algorithm performed poorly (53.8% sensitivity, 94.9% specificity). The point prevalence of depression in this study was 25.0% (95% CI 19.0-31.0), and 17.0% of patients had untreated depression. In this study, the PHQ-9 and HADS performed well in migraine patients attending a headache clinic, but optimal cut-points to screen for depression vary depending on the goals of the assessment. Also, migraine patients attending a headache clinic have a high prevalence of depression and many are inadequately treated. Future studies are needed to confirm these findings and to evaluate the impact of depression screening. Copyright © 2017 Elsevier Inc. All rights reserved.

An effective approach for gap-filling continental scale remotely sensed time-series

PubMed Central

Weiss, Daniel J.; Atkinson, Peter M.; Bhatt, Samir; Mappin, Bonnie; Hay, Simon I.; Gething, Peter W.

2014-01-01

The archives of imagery and modeled data products derived from remote sensing programs with high temporal resolution provide powerful resources for characterizing inter- and intra-annual environmental dynamics. The impressive depth of available time-series from such missions (e.g., MODIS and AVHRR) affords new opportunities for improving data usability by leveraging spatial and temporal information inherent to longitudinal geospatial datasets. In this research we develop an approach for filling gaps in imagery time-series that result primarily from cloud cover, which is particularly problematic in forested equatorial regions. Our approach consists of two, complementary gap-filling algorithms and a variety of run-time options that allow users to balance competing demands of model accuracy and processing time. We applied the gap-filling methodology to MODIS Enhanced Vegetation Index (EVI) and daytime and nighttime Land Surface Temperature (LST) datasets for the African continent for 2000–2012, with a 1 km spatial resolution, and an 8-day temporal resolution. We validated the method by introducing and filling artificial gaps, and then comparing the original data with model predictions. Our approach achieved R2 values above 0.87 even for pixels within 500 km wide introduced gaps. Furthermore, the structure of our approach allows estimation of the error associated with each gap-filled pixel based on the distance to the non-gap pixels used to model its fill value, thus providing a mechanism for including uncertainty associated with the gap-filling process in downstream applications of the resulting datasets. PMID:25642100

Diagnostic Accuracy Comparison of Artificial Immune Algorithms for Primary Headaches.

PubMed

Çelik, Ufuk; Yurtay, Nilüfer; Koç, Emine Rabia; Tepe, Nermin; Güllüoğlu, Halil; Ertaş, Mustafa

2015-01-01

The present study evaluated the diagnostic accuracy of immune system algorithms with the aim of classifying the primary types of headache that are not related to any organic etiology. They are divided into four types: migraine, tension, cluster, and other primary headaches. After we took this main objective into consideration, three different neurologists were required to fill in the medical records of 850 patients into our web-based expert system hosted on our project web site. In the evaluation process, Artificial Immune Systems (AIS) were used as the classification algorithms. The AIS are classification algorithms that are inspired by the biological immune system mechanism that involves significant and distinct capabilities. These algorithms simulate the specialties of the immune system such as discrimination, learning, and the memorizing process in order to be used for classification, optimization, or pattern recognition. According to the results, the accuracy level of the classifier used in this study reached a success continuum ranging from 95% to 99%, except for the inconvenient one that yielded 71% accuracy.

Heavy mineral analyses as a powerful tool in fluvial geomorphology

NASA Astrophysics Data System (ADS)

von Suchodoletz, Hans; Gärtner, Andreas; Faust, Dominik

2014-05-01

The Marneuli depression is a tectonic sub-basin of the Transcaucasian depression in eastern Georgia, filled with several decametres of fluvial, lacustrine and aeolian Quaternary sediments. In order to reconstruct past landscape evolution of the region we studied Late Quaternary fluvial sediments found along several rivers that flow through that depression. Whereas Holocene river sediments could generally easily be assigned to corresponding rivers, this was not always the case for older fluvial sediments. For this reason, we studied the heavy mineral contents of five recent rivers and of four sedimentary deposits of potential precursors. A total of 4088 analysed heavy mineral grains enabled us to set up the characteristic heavy mineral distribution pattern for each sample. Using these data, we were able to reconstruct the most likely source areas of the Late Pleistocene fluvial sediments and to link them with the catchment areas of recent rivers. This allowed us to identify and to substantiate significant Late Quaternary river diversions that could at least partly be assigned to ongoing tectonic processes.

Autonomy-connectedness mediates sex differences in symptoms of psychopathology

PubMed Central

Bekker, Marrie H. J.; van Assen, Marcel A. L. M.

2017-01-01

Objectives This study aimed to examine if autonomy-connectedness, capacity for self-governance under the condition of connectedness, would mediate sex differences in symptoms of various mental disorders (depression, anxiety, eating disorders, antisocial personality disorder). Method Participants (N = 5,525) from a representative community sample in the Netherlands filled out questionnaires regarding the variables under study. Results Autonomy-connectedness (self-awareness, SA; sensitivity to others, SO; capacity for managing new situations, CMNS) fully mediated the sex differences in depression and anxiety, and partly in eating disorder -(drive for thinness, bulimia, and body dissatisfaction) and anti-social personality disorder characteristics. The mediations followed the expected sex-specific patterns. SO related positively to the internalizing disorder indices, and negatively to the anti-social personality disorder. SA related negatively to all disorder indices; and CMNS to all internalizing disorder indices, but positively to the anti-social personality disorder. Conclusion Treatment of depression, anxiety, but also eating disorders and the antisocial personality disorder may benefit from a stronger focus on autonomy strengthening. PMID:28771498

Autonomy-connectedness mediates sex differences in symptoms of psychopathology.

PubMed

Bekker, Marrie H J; van Assen, Marcel A L M

2017-01-01

This study aimed to examine if autonomy-connectedness, capacity for self-governance under the condition of connectedness, would mediate sex differences in symptoms of various mental disorders (depression, anxiety, eating disorders, antisocial personality disorder). Participants (N = 5,525) from a representative community sample in the Netherlands filled out questionnaires regarding the variables under study. Autonomy-connectedness (self-awareness, SA; sensitivity to others, SO; capacity for managing new situations, CMNS) fully mediated the sex differences in depression and anxiety, and partly in eating disorder -(drive for thinness, bulimia, and body dissatisfaction) and anti-social personality disorder characteristics. The mediations followed the expected sex-specific patterns. SO related positively to the internalizing disorder indices, and negatively to the anti-social personality disorder. SA related negatively to all disorder indices; and CMNS to all internalizing disorder indices, but positively to the anti-social personality disorder. Treatment of depression, anxiety, but also eating disorders and the antisocial personality disorder may benefit from a stronger focus on autonomy strengthening.

Lining seam elimination algorithm and surface crack detection in concrete tunnel lining

NASA Astrophysics Data System (ADS)

Qu, Zhong; Bai, Ling; An, Shi-Quan; Ju, Fang-Rong; Liu, Ling

2016-11-01

Due to the particularity of the surface of concrete tunnel lining and the diversity of detection environments such as uneven illumination, smudges, localized rock falls, water leakage, and the inherent seams of the lining structure, existing crack detection algorithms cannot detect real cracks accurately. This paper proposed an algorithm that combines lining seam elimination with the improved percolation detection algorithm based on grid cell analysis for surface crack detection in concrete tunnel lining. First, check the characteristics of pixels within the overlapping grid to remove the background noise and generate the percolation seed map (PSM). Second, cracks are detected based on the PSM by the accelerated percolation algorithm so that the fracture unit areas can be scanned and connected. Finally, the real surface cracks in concrete tunnel lining can be obtained by removing the lining seam and performing percolation denoising. Experimental results show that the proposed algorithm can accurately, quickly, and effectively detect the real surface cracks. Furthermore, it can fill the gap in the existing concrete tunnel lining surface crack detection by removing the lining seam.

Patients’ Opinions about Knowing Their Risk for Depression and What to Do about It. The PredictD-Qualitative Study

PubMed Central

Bellón, Juan Á.; Moreno-Peral, Patricia; Moreno-Küstner, Berta; Motrico, Emma; Aiarzagüena, José M.; Fernández, Anna; Fernández-Alonso, Carmen; Montón-Franco, Carmen; Rodríguez-Bayón, Antonina; Ballesta-Rodríguez, María Isabel; Rüntel-Geidel, Ariadne; Payo-Gordón, Janire; Serrano-Blanco, Antoni; Oliván-Blázquez, Bárbara; Araujo, Luz; Muñoz-García, María del Mar; King, Michael; Nazareth, Irwin; Amezcua, Manuel

2014-01-01

Background The predictD study developed and validated a risk algorithm for predicting the onset of major depression in primary care. We aimed to explore the opinion of patients about knowing their risk for depression and the values and criteria upon which these opinions are based. Methods A maximum variation sample of patients was taken, stratified by city, age, gender, immigrant status, socio-economic status and lifetime depression. The study participants were 52 patients belonging to 13 urban health centres in seven different cities around Spain. Seven Focus Groups (FGs) were given held with primary care patients, one for each of the seven participating cities. Results The results showed that patients generally welcomed knowing their risk for depression. Furthermore, in light of available evidence several patients proposed potential changes in their lifestyles to prevent depression. Patients generally preferred to ask their General Practitioners (GPs) for advice, though mental health specialists were also mentioned. They suggested that GPs undertake interventions tailored to each patient, from a “patient-centred” approach, with certain communication skills, and giving advice to help patients cope with the knowledge that they are at risk of becoming depressed. Conclusions Patients are pleased to be informed about their risk for depression. We detected certain beliefs, attitudes, values, expectations and behaviour among the patients that were potentially useful for future primary prevention programmes on depression. PMID:24646951

Patients' opinions about knowing their risk for depression and what to do about it. The predictD-qualitative study.

PubMed

Bellón, Juan Á; Moreno-Peral, Patricia; Moreno-Küstner, Berta; Motrico, Emma; Aiarzagüena, José M; Fernández, Anna; Fernández-Alonso, Carmen; Montón-Franco, Carmen; Rodríguez-Bayón, Antonina; Ballesta-Rodríguez, María Isabel; Runte-Geidel, Ariadne; Rüntel-Geidel, Ariadne; Payo-Gordón, Janire; Serrano-Blanco, Antoni; Oliván-Blázquez, Bárbara; Araujo, Luz; Muñoz-García, María del Mar; King, Michael; Nazareth, Irwin; Amezcua, Manuel

2014-01-01

The predictD study developed and validated a risk algorithm for predicting the onset of major depression in primary care. We aimed to explore the opinion of patients about knowing their risk for depression and the values and criteria upon which these opinions are based. A maximum variation sample of patients was taken, stratified by city, age, gender, immigrant status, socio-economic status and lifetime depression. The study participants were 52 patients belonging to 13 urban health centres in seven different cities around Spain. Seven Focus Groups (FGs) were given held with primary care patients, one for each of the seven participating cities. The results showed that patients generally welcomed knowing their risk for depression. Furthermore, in light of available evidence several patients proposed potential changes in their lifestyles to prevent depression. Patients generally preferred to ask their General Practitioners (GPs) for advice, though mental health specialists were also mentioned. They suggested that GPs undertake interventions tailored to each patient, from a "patient-centred" approach, with certain communication skills, and giving advice to help patients cope with the knowledge that they are at risk of becoming depressed. Patients are pleased to be informed about their risk for depression. We detected certain beliefs, attitudes, values, expectations and behaviour among the patients that were potentially useful for future primary prevention programmes on depression.

Differential relationships between social adversity and depressive symptoms by HIV-status and racial/ethnic identity

PubMed Central

Williamson, Timothy J.; Mahmood, Zanjbeel; Kuhn, Taylor P.; Thames, April D.

2016-01-01

Objective Historically marginalized groups are likely to be exposed to social adversity, which predicts important mental health outcomes (e.g., depression). Despite the well-established relationship between adversity and poor health, few studies have examined how adversity differentially predicts mental health among people living with multiple, co-occurring marginalized identities or statuses. The current study fills this gap by examining whether relationships between social adversity and depressive symptoms differed between those living with or without a stigmatized disease (i.e., HIV) and/or marginalized racial/ethnic identity (i.e., African American). Method A community sample of men and women (n = 149) completed questionnaires assessing demographics and depressive symptoms. Additionally, a composite index of social adversity was derived from measures of perceived discrimination, socioeconomic status, financial restriction to receiving medical care, and perceived neighborhood characteristics. Multiple regression was used to test whether relationships between adversity and depressive symptoms differed as a function of HIV-status and racial/ethnic identity. Results A significant three-way interaction between social adversity, HIV-status, and racial/ethnic identity indicated that there was a direct relationship between adversity and depressive symptoms for HIV-positive (HIV+) African Americans but not for HIV-negative (HIV-) African Americans, HIV+ Caucasians, or HIV- Caucasians. Further, HIV+ African Americans evidenced a significantly greater relationship between adversity and depressive symptoms, as compared to HIV- African Americans but not as compared to other groups. Conclusions The findings suggest that HIV+ African Americans may be at risk for higher depressive symptoms amidst adversity, highlighting the importance of evaluating intersectional identities/statuses in the context of mental health. PMID:27929330

Differential relationships between social adversity and depressive symptoms by HIV status and racial/ethnic identity.

PubMed

Williamson, Timothy J; Mahmood, Zanjbeel; Kuhn, Taylor P; Thames, April D

2017-02-01

Historically marginalized groups are likely to be exposed to social adversity, which predicts important mental health outcomes (e.g., depression). Despite the well-established relationship between adversity and poor health, few studies have examined how adversity differentially predicts mental health among people living with multiple, co-occurring marginalized identities or statuses. The current study fills this gap by examining whether relationships between social adversity and depressive symptoms differed between those living with or without a stigmatized disease (i.e., HIV) and/or marginalized racial/ethnic identity (i.e., African American). A community sample of men and women (N = 149) completed questionnaires assessing demographics and depressive symptoms. Additionally, a composite index of social adversity was derived from measures of perceived discrimination, socioeconomic status, financial restriction to receiving medical care, and perceived neighborhood characteristics. Multiple regression was used to test whether relationships between adversity and depressive symptoms differed as a function of HIV status and racial/ethnic identity. A significant 3-way interaction between social adversity, HIV status, and racial/ethnic identity indicated that there was a direct relationship between adversity and depressive symptoms for HIV-positive (HIV+) African Americans but not for HIV-negative (HIV-) African Americans, HIV+ Caucasians, or HIV- Caucasians. Further, HIV+ African Americans evidenced a significantly greater relationship between adversity and depressive symptoms compared with HIV- African Americans, but not compared with other groups. The findings suggest that HIV+ African Americans may be at risk for higher depressive symptoms amid adversity, highlighting the importance of evaluating intersectional identities/statuses in the context of mental health. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

[Effects of combined application of nitrogen and phosphorus on diurnal variation of photosynthesis at grain-filling stage and grain yield of super high-yielding wheat].

PubMed

Zhao, Hai-bo; Lin, Qi; Liu, Yi-guo; Jiang, Wen; Liu, Jian-jun; Zhai, Yan-ju

2010-10-01

Taking super high-yielding wheat cultivar Jimai 22 as test material, a field experiment was conducted to study the effects of combined application of nitrogen (N) and phosphorus (P) on the diurnal variation of photosynthesis at grain-filling stage and the grain yield of the cultivar. In treatments CK (without N and P application) and low N/P application (225 kg N x hm(-2) and 75 kg P x hm(-2)), the diurnal variation of net photosynthetic rate (Pn) was presented as double-peak curve, and there existed obvious midday depression of photosynthesis. Under reasonable application of N/P (300 kg N x hm(-2) and 150 kg P x hm(-2), treatment N2P2), the midday depression of photosynthesis weakened or even disappeared. Stomatal and non-stomatal limitations could be the causes of the midday depression. Increasing N and P supply increased the Pn, stomatal conductance (Gs), stomatal limitation value (Ls), and transpiration rate (Tr). Fertilizer P had less effects on the photosynthesis, compared with fertilizer N. When the P supply was over 150 kg x hm(-2), the increment of Pn was alleviated and even decreased. Among the fertilization treatments, treatment N2P2 had the highest Pn, Gs, and water use efficiency, being significantly different from CK. It appeared that fertilizer N had greater regulatory effect on the diurnal variation of photosynthesis, compared with fertilizer P, while the combined application of N and P had significant co-effect on the Pn, Gs, and Tr. A combined application of 300 kg N x hm(-2) and 150 kg P x hm(-2) benefited the enhancement of Pn and grain yield.

Geomorphology of Titan's polar terrains: Using the landscape's topographic form to constrain surface processes

NASA Astrophysics Data System (ADS)

Birch, S. P.; Hayes, A. G., Jr.; Dietrich, W. E.; Howard, A. D.; Malaska, M. J.; Moore, J. M.; Mastrogiuseppe, M.; White, O. L.; Hofgartner, J. D.; Soderblom, J. M.; Barnes, J. W.; Bristow, C.; Kirk, R. L.; Turtle, E. P.; Wood, C. A.; Stofan, E. R.

2015-12-01

Driven by an expansive atmosphere, Titan's lakes, seas and accompanied hydrological cycle hold vast amounts of information regarding the history and evolution of Titan. To understand these features, we constructed a geomorphologic map of Titan's polar terrains using a combination of the Cassini SAR, ISS, VIMS, and topographic datasets. In combining SAR, ISS, and VIMS imagery with topographic data, our geomorphic map reveals a stratigraphic sequence from which we infer formation processes. In mapping both the South and North poles with the same morphologic units, we conclude that processes that dominated the North Pole also operated in the South. Large seas, which are currently methane/ethane filled in the North and dry in the South, characterize both poles. The current day dichotomy may result only from differing initial conditions. Regions removed from the mare are dominated by smooth, undulating plains, bounded by moderately dissected uplands that are discretized into observable drainage basins. These plains contain the highest density of filled and empty lake depressions, which appear morphologically distinct from the larger mare. The thicknesses of these undulating plains are retrieved from the depths of the embedded empty depressions that are up to 800 m deep. The development of such large deposits and the surrounding hillslopes can be explained by the presence of previously vast polar oceans. Larger liquid bodies would have allowed for a sustained accumulation of soluble and insoluble sediments from Titan's lower latitudes. Two plausible evolutionary scenarios include seas that were slightly larger, followed by tectonic uplift, or oceans that were much larger, that have since lost most of their volume over time to methane photolysis. In either scenario, thick sedimentary deposits of soluble materials are required to have been emplaced prior to the formation of the small lake depressions.

DIABETES, DEPRESSION, AND DEATH: A RANDOMIZED CONTROLLED TRIAL OF A DEPRESSION TREATMENT PROGRAM FOR OLDER ADULTS BASED IN PRIMARY CARE (PROSPECT)

PubMed Central

Bogner, Hillary R; Morales, Knashawn H; Post, Edward P; Bruce, Martha L

2009-01-01

OBJECTIVE Our a priori hypothesis was that depressed patients with diabetes in practices implementing a depression management program would have a decreased risk of mortality compared to depressed patients with diabetes in usual care practices. RESEARCH DESIGN AND METHODS Multi-site practice-randomized controlled trial PROSPECT (Prevention of Suicide in Primary Care Elderly: Collaborative Trial) with patient recruitment from 5/99-8/01 and supplemented with a search of the National Death Index. Twenty primary care practices participated from New York City, Philadelphia, and Pittsburgh. In all, 584 participants who were identified though a two-stage, age-stratified (60-74; 75+) depression screening of randomly sampled patients and were classified as depressed with complete information on diabetes status are included in these analyses. Of all the 584 participants, 123 (21.2%) reported a history of diabetes. A depression care manager worked with primary care physicians to provide algorithm-based care. Vital status was assessed at 5 years. RESULTS After a median follow-up of 52.0 months, 110 depressed patients had died. Depressed patients with diabetes in the Intervention Condition were less likely to have died during the 5-year follow-up interval than were depressed persons with diabetes in Usual Care after accounting for baseline differences among patients (adjusted hazard ratio 0.49, 95% CI [0.24, 0.98]). CONCLUSIONS Older depressed primary care patients with diabetes in practices implementing depression care management were less likely to die over the course of a 5-year interval than were depressed patients with diabetes in usual care practices. PMID:17717284

Parameters of Solidifying Mixtures Transporting at Underground Ore Mining

NASA Astrophysics Data System (ADS)

Golik, Vladimir; Dmitrak, Yury

2017-11-01

The article is devoted to the problem of providing mining enterprises with solidifying filling mixtures at underground mining. The results of analytical studies using the data of foreign and domestic practice of solidifying mixtures delivery to stopes are given. On the basis of experimental practice the parameters of transportation of solidifying filling mixtures are given with an increase in their quality due to the effect of vibration in the pipeline. The mechanism of the delivery process and the procedure for determining the parameters of the forced oscillations of the pipeline, the characteristics of the transporting processes, the rigidity of the elastic elements of pipeline section supports and the magnitude of vibrator' driving force are detailed. It is determined that the quality of solidifying filling mixtures can be increased due to the rational use of technical resources during the transportation of mixtures, and as a result the mixtures are characterized by a more even distribution of the aggregate. The algorithm for calculating the parameters of the pipe vibro-transport of solidifying filling mixtures can be in demand in the design of mineral deposits underground mining technology.

Two-leg ladder systems with dipole–dipole Fermion interactions

NASA Astrophysics Data System (ADS)

Mosadeq, Hamid; Asgari, Reza

2018-05-01

The ground-state phase diagram of a two-leg fermionic dipolar ladder with inter-site interactions is studied using density matrix renormalization group (DMRG) techniques. We use a state-of-the-art implementation of the DMRG algorithm and finite size scaling to simulate large system sizes with high accuracy. We also consider two different model systems and explore stable phases in half and quarter filling factors. We find that in the half filling, the charge and spin gaps emerge in a finite value of the dipole–dipole and on-site interactions. In the quarter filling case, s-wave superconducting state, charge density wave, homogenous insulating and phase separation phases occur depend on the interaction values. Moreover, in the dipole–dipole interaction, the D-Mott phase emerges when the hopping terms along the chain and rung are the same, whereas, this phase has been only proposed for the anisotropic Hubbard model. In the half filling case, on the other hand, there is either charge-density wave or charged Mott order phase depends on the orientation of the dipole moments of the particles with respect to the ladder geometry.

Synthesis design of artificial magnetic metamaterials using a genetic algorithm.

PubMed

Chen, P Y; Chen, C H; Wang, H; Tsai, J H; Ni, W X

2008-08-18

In this article, we present a genetic algorithm (GA) as one branch of artificial intelligence (AI) for the optimization-design of the artificial magnetic metamaterial whose structure is automatically generated by computer through the filling element methodology. A representative design example, metamaterials with permeability of negative unity, is investigated and the optimized structures found by the GA are presented. It is also demonstrated that our approach is effective for the synthesis of functional magnetic and electric metamaterials with optimal structures. This GA-based optimization-design technique shows great versatility and applicability in the design of functional metamaterials.

Linear and nonlinear pattern selection in Rayleigh-Benard stability problems

NASA Technical Reports Server (NTRS)

Davis, Sanford S.

1993-01-01

A new algorithm is introduced to compute finite-amplitude states using primitive variables for Rayleigh-Benard convection on relatively coarse meshes. The algorithm is based on a finite-difference matrix-splitting approach that separates all physical and dimensional effects into one-dimensional subsets. The nonlinear pattern selection process for steady convection in an air-filled square cavity with insulated side walls is investigated for Rayleigh numbers up to 20,000. The internalization of disturbances that evolve into coherent patterns is investigated and transient solutions from linear perturbation theory are compared with and contrasted to the full numerical simulations.

Stochastic series expansion simulation of the t -V model

NASA Astrophysics Data System (ADS)

Wang, Lei; Liu, Ye-Hua; Troyer, Matthias

2016-04-01

We present an algorithm for the efficient simulation of the half-filled spinless t -V model on bipartite lattices, which combines the stochastic series expansion method with determinantal quantum Monte Carlo techniques widely used in fermionic simulations. The algorithm scales linearly in the inverse temperature, cubically with the system size, and is free from the time-discretization error. We use it to map out the finite-temperature phase diagram of the spinless t -V model on the honeycomb lattice and observe a suppression of the critical temperature of the charge-density-wave phase in the vicinity of a fermionic quantum critical point.

Effects of high-order correlations on personalized recommendations for bipartite networks

NASA Astrophysics Data System (ADS)

Liu, Jian-Guo; Zhou, Tao; Che, Hong-An; Wang, Bing-Hong; Zhang, Yi-Cheng

2010-02-01

In this paper, we introduce a modified collaborative filtering (MCF) algorithm, which has remarkably higher accuracy than the standard collaborative filtering. In the MCF, instead of the cosine similarity index, the user-user correlations are obtained by a diffusion process. Furthermore, by considering the second-order correlations, we design an effective algorithm that depresses the influence of mainstream preferences. Simulation results show that the algorithmic accuracy, measured by the average ranking score, is further improved by 20.45% and 33.25% in the optimal cases of MovieLens and Netflix data. More importantly, the optimal value λ depends approximately monotonously on the sparsity of the training set. Given a real system, we could estimate the optimal parameter according to the data sparsity, which makes this algorithm easy to be applied. In addition, two significant criteria of algorithmic performance, diversity and popularity, are also taken into account. Numerical results show that as the sparsity increases, the algorithm considering the second-order correlation can outperform the MCF simultaneously in all three criteria.

Coping with perceived weight discrimination: testing a theoretical model for examining the relationship between perceived weight discrimination and depressive symptoms in a representative sample of individuals with obesity.

PubMed

Spahlholz, J; Pabst, A; Riedel-Heller, S G; Luck-Sikorski, C

2016-12-01

The association between obesity and perceived weight discrimination has been investigated in several studies. Although there is evidence that perceived weight discrimination is associated with negative outcomes on psychological well-being, there is a lack of research examining possible buffering effects of coping strategies in dealing with experiences of weight discrimination. The present study aims to fill that gap. We examined the relationship between perceived weight discrimination and depressive symptoms and tested whether problem-solving strategies and/or avoidant coping strategies mediated this effect. Using structural equation modeling, we analyzed representative cross-sectional data of n=484 German-speaking individuals with obesity (BMI⩾30 kg m -2 ), aged 18 years and older. Results revealed a direct effect of perceived weight discrimination on depressive symptoms. Further, the data supported a mediational linkage for avoidant coping strategies, not for problem-solving strategies. Higher scores of perceived weight discrimination experiences were associated with both coping strategies, but only avoidant coping strategies were positively linked to more symptoms of depression. Perceived weight discrimination was associated with increased depressive symptoms both directly and indirectly through situational coping strategies. Avoidant coping has the potential to exacerbate depressive symptoms, whereas problem-solving strategies were ineffective in dealing with experiences of weight discrimination. We emphasize the importance of coping strategies in dealing with experiences of weight discrimination and the need to distinguish between using a strategy and benefiting from it without detriment.

Forgiveness, Ego-Integrity, and Depressive Symptoms in Community-Dwelling and Residential Elderly Adults.

PubMed

Dezutter, Jessie; Toussaint, Loren; Leijssen, Mia

2016-09-01

This study aimed first, to investigate the relation between forgivingness and depressive symptoms in elderly individuals and second, to explore whether the developmental task of integrity/despair is a possible underlying process in this relation. Both aims were studied in a sample of community-dwelling elderly individuals as well as in a sample of residential elderly individuals. Community-dwelling elderly individuals (n = 280, M = 75.98 years) and residential elderly individuals (n = 205, M = 83.20 years) in Belgium filled out questionnaires on forgivingness, depressive symptoms, and the developmental task of integrity/despair. Structural equation modeling was used to test the mediational role of integrity/despair in the relation between forgivingness and depression in both samples. Furthermore, multigroup analyses tested the convergence of the mediational models in the community-dwelling elderly individuals and the residential elderly individuals. Forgivingness and depression were negatively associated in both residential elderly individuals and community-dwelling elderly individuals. The developmental task of finding integrity and avoiding despair showed to be a significant mediator in this relationship. Framed within a life-span perspective, we showed that the developmental task of finding a balance between integrity and despair is an important intrapersonal mechanism through which forgivingness is related with depressed feelings for residential as well as community-dwelling elderly individuals. © The Author 2014. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

[Gender aspects in female and male physicians : Occupational and psychosocial stress].

PubMed

Beschoner, P; Braun, M; Schönfeldt-Lecuona, C; Freudenmann, R W; von Wietersheim, J

2016-10-01

International studies have shown that physicians have an elevated risk of developing depression or burnout syndrome. Gender aspects with regard to occupation are discussed in German politics and society. Currently, there is little data comparing female and male physicians with regard to stress at work, depression, and burnout. Are there differences between male and female physicians with respect to psychosocial strain, emotional exhaustion, and depression? In different cross-sectional studies, anaesthetists, psychiatrists and dentists filled out a questionnaire containing questions on personal data, occupation, past medical history and medication intake. Additional standardized questionnaires (Beck Depression Inventory (BDI) and Maslach Burnout Inventory (MBI)) were performed. The return rate was 51.8 % (n = 3782). Male and female physicians vary significantly in social data, participation in the job, and health status. Female physicians are on average not married (p < 0.001) and have significantly fewer children (p < 0.05). Leading positions are mostly held by male physicians (p < 0.001); female physicians more often work in part-time jobs (p < 0.001). Female physicians reached higher scores of emotional exhaustion (MBI) (p < 0.01) and depression (BDI) (p < 0.001). The study shows big differences between male and female physicians with respect to their occupation, personal life, and psychosocial wellbeing. Female physicians more often report burnout and depression. Causes might be family and job strain, gender aspects in hierarchy, as well as different recognition and interpretation of symptoms.

Value-Based Benefit Design to Improve Medication Adherence for Employees with Anxiety or Depression.

PubMed

Reid, Kimberly J; Aguilar, Kathleen M; Thompson, Eric; Miller, Ross M

2015-01-01

Through reduced out-of-pocket costs and wellness offerings, value-based benefit design (VBBD) is a promising strategy to improve medication adherence and other health-related outcomes across populations. There is limited evidence, however, of the effectiveness of these policy-level changes among individuals with anxiety or depression. To assess the impact of a multifaceted VBBD policy that incorporates waived copayments, wellness offerings, and on-site services on medication adherence among plan members with anxiety or depression, and to explore how this intervention and its resulting improved adherence affects other health-related outcomes. A retrospective longitudinal pre/post design was utilized to measure outcomes before and after the VBBD policy change. Repeated measures statistical regression models with correlated error terms were utilized to evaluate outcomes among employees of a self-insured global health company and their spouses (N = 529) who had anxiety or depression after the VBBD policy change. A multivariable linear regression model was chosen as the best fit to evaluate a change in medication possession ratio (MPR) after comparing parameters for several distributions. The repeated measures multivariable regression models were adjusted for baseline MPR and potential confounders, including continuous age, sex, continuous modified Charlson Comorbidity Index, and the continuous number of prescriptions filled that year. The outcomes were assessed for the 1 year before the policy change (January 1, 2011, through December 31, 2011) and for 2 years after the change (January 1, 2012, through December 31, 2013). The primary outcome was a change in MPR. The secondary outcomes included healthcare utilization, medical or pharmacy costs, the initiation of medication, generic medication use, and employee absenteeism (the total number of sick days). The implementation of the VBBD strategy was associated with a significant increase in average MPR (0.65 vs 0.61 in the pre-VBBD period; P = .004), the initiation of new medications for anxiety or depression (31.4% vs 29.5%, respectively; P = .033), and the filling of generic medications for anxiety or depression (85.1% vs 80.5%, respectively; P <.001). A multivariable adjusted analysis revealed a 0.05 increase in MPR after the benefit enhancement (P = .002). Healthcare utilization, costs, and absenteeism were not statistically different before and after the VBBD policy change. The VBBD strategy was associated with improved medication adherence and cost-conscious medication use. Future analyses should explore whether these trends persist over time, and if they can further impact healthcare utilization, cost, and absenteeism.

Beck's cognitive theory and the response style theory of depression in adolescents with and without mild to borderline intellectual disability.

PubMed

Weeland, Martine M; Nijhof, Karin S; Otten, R; Vermaes, Ignace P R; Buitelaar, Jan K

2017-10-01

This study tests the validity of Beck's cognitive theory and Nolen-Hoeksema's response style theory of depression in adolescents with and without MBID. The relationship between negative cognitive errors (Beck), response styles (Nolen-Hoeksema) and depressive symptoms was examined in 135 adolescents using linear regression. The cognitive error 'underestimation of the ability to cope' was more prevalent among adolescents with MBID than among adolescents with average intelligence. This was the only negative cognitive error that predicted depressive symptoms. There were no differences between groups in the prevalence of the three response styles. In line with the theory, ruminating was positively and problem-solving was negatively related to depressive symptoms. Distractive response styles were not related to depressive symptoms. The relationship between response styles, cognitive errors and depressive symptoms were similar for both groups. The main premises of both theories of depression are equally applicable to adolescents with and without MBID. The cognitive error 'Underestimation of the ability to cope' poses a specific risk factor for developing a depression for adolescents with MBID and requires special attention in treatment and prevention of depression. WHAT THIS PAPER ADDS?: Despite the high prevalence of depression among adolescents with MBID, little is known about the etiology and cognitive processes that play a role in the development of depression in this group. The current paper fills this gap in research by examining the core tenets of two important theories on the etiology of depression (Beck's cognitive theory and Nolen-Hoeksema's response style theory) in a clinical sample of adolescents with and without MBID. This paper demonstrated that the theories are equally applicable to adolescents with MBID, as to adolescents with average intellectual ability. However, the cognitive bias 'underestimation of the ability to cope' was the only cognitive error related to depressive symptoms, and was much more prevalent among adolescents with MBID than among adolescents with average intellectual ability. This suggests that underestimating one's coping skills may be a unique risk factor for depression among adolescents with MBID. This knowledge is important in understanding the causes and perpetuating mechanisms of depression in adolescents with MBID, and for the development of prevention- and treatment programs for adolescents with MBID. Copyright © 2017 Elsevier Ltd. All rights reserved.

Toni Morrison's Beloved: a journey through the pain of grief.

PubMed

Pass, Olivia McNeely

2006-01-01

This paper elucidates the structure of Toni Morrison's novel, Beloved, using the framework of human emotions in response to grieving and death as developed by Elisabeth Kubler-Ross. Through her studies of terminally ill patients, Kubler-Ross identified five stages when approaching death: denial and isolation, anger, bargaining, depression and acceptance. These stages accurately fill the process that the character Sethe experiences in the novel as she learns to accept her daughter's death.

Albuquerque, NM, USA

NASA Technical Reports Server (NTRS)

1991-01-01

Albuquerque, NM (35.0N, 106.5W) is situated on the edge of the Rio Grande River and flood plain which cuts across the image. The reddish brown surface of the Albuquerque Basin is a fault depression filled with ancient alluvial fan and lake bed sediments. On the slopes of the Manzano Mountains to the east of Albuquerque, juniper and other timber of the Cibola National Forest can be seen as contrasting dark tones of vegetation.

Success rates in smoking cessation: Psychological preparation plays a critical role and interacts with other factors such as psychoactive substances.

PubMed

Joly, Bertrand; Perriot, Jean; d'Athis, Philippe; Chazard, Emmanuel; Brousse, Georges; Quantin, Catherine

2017-01-01

The aim of this study was to identify factors associated with the results of smoking cessation attempts. Data were collected in Clermont-Ferrand from a smoking cessation clinic between 1999 and 2009 (1,361 patients). Smoking cessation was considered a success when patients were abstinent 6 months after the beginning of cessation. Multivariate logistic regression was used to investigate the association between abstinence and different factors. The significant factors were a history of depression (ORadjusted = 0.57, p = 0.003), state of depression at the initial consultation (ORa = 0.64, p = 0.005), other psychoactive substances (ORa = 0.52, p<0.0001), heart, lung and Ear-Nose-Throat diseases (ORa = 0.65, p = 0.005), age (ORa = 1.04, p<0.0001), the Richmond test (p<0.0001; when the patient's motivation went from insufficient to moderate, the frequency of abstinence was twice as high) and the Prochaska algorithm (p<0.0001; when the patient went from the 'pre-contemplation' to the 'contemplation' level, the frequency of success was four times higher). A high score in the Richmond test had a greater impact on success with increasing age (significant interaction: p = 0.01). In exclusive smokers, the contemplation level in the Prochaska algorithm was enough to obtain a satisfactory abstinence rate (65.5%) whereas among consumers of other psychoactive substances, it was necessary to reach the preparation level in the Prochaska algorithm to achieve a success rate greater than 50% (significant interaction: p = 0.02). The psychological preparation of the smoker plays a critical role. The management of smoking cessation must be personalized, especially for consumers of other psychoactive substances and/or smokers with a history of depression.

The Health Informatics Trial Enhancement Project (HITE): Using routinely collected primary care data to identify potential participants for a depression trial

PubMed Central

2010-01-01

Background Recruitment to clinical trials can be challenging. We identified anonymous potential participants to an existing pragmatic randomised controlled depression trial to assess the feasibility of using routinely collected data to identify potential trial participants. We discuss the strengths and limitations of this approach, assess its potential value, report challenges and ethical issues encountered. Methods Swansea University's Health Information Research Unit's Secure Anonymised Information Linkage (SAIL) database of routinely collected health records was interrogated, using Structured Query Language (SQL). Read codes were used to create an algorithm of inclusion/exclusion criteria with which to identify suitable anonymous participants. Two independent clinicians rated the eligibility of the potential participants' identified. Inter-rater reliability was assessed using the kappa statistic and inter-class correlation. Results The study population (N = 37263) comprised all adults registered at five general practices in Swansea UK. Using the algorithm 867 anonymous potential participants were identified. The sensitivity and specificity results > 0.9 suggested a high degree of accuracy from the algorithm. The inter-rater reliability results indicated strong agreement between the confirming raters. The Intra Class Correlation Coefficient (Cronbach's Alpha) > 0.9, suggested excellent agreement and Kappa coefficient > 0.8; almost perfect agreement. Conclusions This proof of concept study showed that routinely collected primary care data can be used to identify potential participants for a pragmatic randomised controlled trial of folate augmentation of antidepressant therapy for the treatment of depression. Further work will be needed to assess generalisability to other conditions and settings and the inclusion of this approach to support Electronic Enhanced Recruitment (EER). PMID:20398303

Late-life depression in Peru, Mexico and Venezuela: the 10/66 population-based study.

PubMed

Guerra, Mariella; Ferri, Cleusa P; Sosa, Ana Luisa; Salas, Aquiles; Gaona, Ciro; Gonzales, Victor; de la Torre, Gabriela Rojas; Prince, Martin

2009-12-01

The proportion of the global population aged 60 and over is increasing, more so in Latin America than any other region. Depression is common among elderly people and an important cause of disability worldwide. To estimate the prevalence and correlates of late-life depression, associated disability and access to treatment in five locations in Latin America. A one-phase cross-sectional survey of 5886 people aged 65 and over from urban and rural locations in Peru and Mexico and an urban site in Venezuela. Depression was identified according to DSM-IV and ICD-10 criteria, Geriatric Mental State-Automated Geriatric Examination for Computer Assisted Taxonomy (GMS-AGECAT) algorithm and EURO-D cut-off point. Poisson regression was used to estimate the independent associations of sociodemographic characteristics, economic circumstances and health status with ICD-10 depression. For DSM-IV major depression overall prevalence varied between 1.3% and 2.8% by site, for ICD-10 depressive episode between 4.5% and 5.1%, for GMS-AGECAT depression between 30.0% and 35.9% and for EURO-D depression between 26.1% and 31.2%; therefore, there was a considerable prevalence of clinically significant depression beyond that identified by ICD-10 and DSM-IV diagnostic criteria. Most older people with depression had never received treatment. Limiting physical impairments and a past history of depression were the two most consistent correlates of the ICD-10 depressive episode. The treatment gap poses a significant challenge for Latin American health systems, with their relatively weak primary care services and reliance on private specialists; local treatment trials could establish the cost-effectiveness of mental health investment in the government sector.

A lane line segmentation algorithm based on adaptive threshold and connected domain theory

NASA Astrophysics Data System (ADS)

Feng, Hui; Xu, Guo-sheng; Han, Yi; Liu, Yang

2018-04-01

Before detecting cracks and repairs on road lanes, it's necessary to eliminate the influence of lane lines on the recognition result in road lane images. Aiming at the problems caused by lane lines, an image segmentation algorithm based on adaptive threshold and connected domain is proposed. First, by analyzing features like grey level distribution and the illumination of the images, the algorithm uses Hough transform to divide the images into different sections and convert them into binary images separately. It then uses the connected domain theory to amend the outcome of segmentation, remove noises and fill the interior zone of lane lines. Experiments have proved that this method could eliminate the influence of illumination and lane line abrasion, removing noises thoroughly while maintaining high segmentation precision.

Density implications of shift compensation postprocessing in holographic storage systems

NASA Astrophysics Data System (ADS)

Menetrier, Laure; Burr, Geoffrey W.

2003-02-01

We investigate the effect of data page misregistration, and its subsequent correction in postprocessing, on the storage density of holographic data storage systems. A numerical simulation is used to obtain the bit-error rate as a function of hologram aperture, page misregistration, pixel fill factors, and Gaussian additive intensity noise. Postprocessing of simulated data pages is performed by a nonlinear pixel shift compensation algorithm [Opt. Lett. 26, 542 (2001)]. The performance of this algorithm is analyzed in the presence of noise by determining the achievable areal density. The impact of inaccurate measurements of page misregistration is also investigated. Results show that the shift-compensation algorithm can provide almost complete immunity to page misregistration, although at some penalty to the baseline areal density offered by a system with zero tolerance to misalignment.

Self-Avoiding Walks over Adaptive Triangular Grids

NASA Technical Reports Server (NTRS)

Heber, Gerd; Biswas, Rupak; Gao, Guang R.; Saini, Subhash (Technical Monitor)

1998-01-01

In this paper, we present a new approach to constructing a "self-avoiding" walk through a triangular mesh. Unlike the popular approach of visiting mesh elements using space-filling curves which is based on a geometric embedding, our approach is combinatorial in the sense that it uses the mesh connectivity only. We present an algorithm for constructing a self-avoiding walk which can be applied to any unstructured triangular mesh. The complexity of the algorithm is O(n x log(n)), where n is the number of triangles in the mesh. We show that for hierarchical adaptive meshes, the algorithm can be easily parallelized by taking advantage of the regularity of the refinement rules. The proposed approach should be very useful in the run-time partitioning and load balancing of adaptive unstructured grids.

Automatic comparison of striation marks and automatic classification of shoe prints

NASA Astrophysics Data System (ADS)

Geradts, Zeno J.; Keijzer, Jan; Keereweer, Isaac

1995-09-01

A database for toolmarks (named TRAX) and a database for footwear outsole designs (named REBEZO) have been developed on a PC. The databases are filled with video-images and administrative data about the toolmarks and the footwear designs. An algorithm for the automatic comparison of the digitized striation patterns has been developed for TRAX. The algorithm appears to work well for deep and complete striation marks and will be implemented in TRAX. For REBEZO some efforts have been made to the automatic classification of outsole patterns. The algorithm first segments the shoeprofile. Fourier-features are selected for the separate elements and are classified with a neural network. In future developments information on invariant moments of the shape and rotation angle will be included in the neural network.

Examining the factors that are correlated with mindfulness with a focus on attention deficit hyperactivity symptoms.

PubMed

Yavuz, Burcu Goksan; Yavuz, Mesut; Onal, Arzu

2018-05-18

We hypothesized that attention deficit hyperactivity symptoms would negatively correlate with the level of mindfulness. Seventy-six subjects referred to the outpatient psychiatry unit and 32 healthy control subjects filled out the Mindful Attention Awareness Scale (MAAS), the Depression Anxiety Stress Scale (DASS), the Adult ADHD Self-Report Scale (ASRS), and the Wender Utah Rating Scale (WURS). Patients scored higher on ADH symptoms compared to controls (p ≤ .001). Higher scores on the ASRS and WURS revealed lower mindfulness in the study group (p ≤ .001). WURS, DASS depression, ASRS attention subscale-based scores (p < .05) were significant predictors on MAAS scores. Besides emotional symptoms ADH symptoms had a significant predictive value on mindfulness. © 2018 Wiley Periodicals, Inc.

Sprayed skin turbine component

DOEpatents

Allen, David B

2013-06-04

Fabricating a turbine component (50) by casting a core structure (30), forming an array of pits (24) in an outer surface (32) of the core structure, depositing a transient liquid phase (TLP) material (40) on the outer surface of the core structure, the TLP containing a melting-point depressant, depositing a skin (42) on the outer surface of the core structure over the TLP material, and heating the assembly, thus forming both a diffusion bond and a mechanical interlock between the skin and the core structure. The heating diffuses the melting-point depressant away from the interface. Subsurface cooling channels (35) may be formed by forming grooves (34) in the outer surface of the core structure, filling the grooves with a fugitive filler (36), depositing and bonding the skin (42), then removing the fugitive material.

A multi-scale segmentation approach to filling gaps in Landsat ETM+ SLC-off images

USGS Publications Warehouse

Maxwell, S.K.; Schmidt, Gail L.; Storey, James C.

2007-01-01

On 31 May 2003, the Landsat Enhanced Thematic Plus (ETM+) Scan Line Corrector (SLC) failed, causing the scanning pattern to exhibit wedge-shaped scan-to-scan gaps. We developed a method that uses coincident spectral data to fill the image gaps. This method uses a multi-scale segment model, derived from a previous Landsat SLC-on image (image acquired prior to the SLC failure), to guide the spectral interpolation across the gaps in SLC-off images (images acquired after the SLC failure). This paper describes the process used to generate the segment model, provides details of the gap-fill algorithm used in deriving the segment-based gap-fill product, and presents the results of the gap-fill process applied to grassland, cropland, and forest landscapes. Our results indicate this product will be useful for a wide variety of applications, including regional-scale studies, general land cover mapping (e.g. forest, urban, and grass), crop-specific mapping and monitoring, and visual assessments. Applications that need to be cautious when using pixels in the gap areas include any applications that require per-pixel accuracy, such as urban characterization or impervious surface mapping, applications that use texture to characterize landscape features, and applications that require accurate measurements of small or narrow landscape features such as roads, farmsteads, and riparian areas.

Cardiovascular disease in persons with depressive and anxiety disorders.

PubMed

Vogelzangs, Nicole; Seldenrijk, Adrie; Beekman, Aartjan T F; van Hout, Hein P J; de Jonge, Peter; Penninx, Brenda W J H

2010-09-01

Associations between depression, and possibly anxiety, with cardiovascular disease have been established in the general population and among heart patients. This study examined whether cardiovascular disease was more prevalent among a large cohort of depressed and/or anxious persons. In addition, the role of specific clinical characteristics of depressive and anxiety disorders in the association with cardiovascular disease was explored. Baseline data from the Netherlands Study of Depression and Anxiety were used, including persons with a current (i.e. past year) or remitted DSM-IV depressive or anxiety disorder (N=2315) and healthy controls (N=492). Additional clinical characteristics (subtype, duration, severity, and psychoactive medication) were assessed. Cardiovascular disease (stroke and coronary heart disease) was assessed using algorithms based on self-report and medication use. Persons with current anxiety disorders showed an about three-fold increased prevalence of coronary heart disease (OR anxiety only=2.70, 95%CI=1.31-5.56; OR comorbid anxiety/depression=3.54, 95%CI=1.79-6.98). No associations were found for persons with depressive disorders only or remitted disorders, nor for stroke. Severity of depressive and anxiety symptoms--but no other clinical characteristics--most strongly indicated increased prevalence of coronary heart disease. Cross-sectional design. Within this large psychopathology-based cohort study, prevalence of coronary heart disease was especially increased among persons with anxiety disorders. Increased prevalence of coronary heart disease among depressed persons was largely owing to comorbid anxiety. Anxiety-alone as well as comorbid to depressive disorders-as risk indicator of coronary heart disease deserves more attention in both research and clinical practice. 2010 Elsevier B.V. All rights reserved.

Treatment of facial lipoatrophy with polymethylmethacrylate among patients with human immunodeficiency virus/acquired immunodeficiency syndrome (HIV/AIDS): impact on the quality of life.

PubMed

Quintas, Rodrigo C S; de França, Emmanuel R; de Petribú, Kátia C L; Ximenes, Ricardo A A; Quintas, Lóren F F M; Cavalcanti, Ernando L F; Kitamura, Marco A P; Magalhães, Kássia A A; Paiva, Késsia C F; Filho, Demócrito B Miranda

2014-04-01

The lipodystrophy syndrome is characterized by selective loss of subcutaneous fat on the face and extremities (lipoatrophy) and/or accumulation of fat around the neck, abdomen, and thorax (lipohypertrophy). The aim of this study has been to assess the impact of polymethylmethacrylate facial treatment on quality of life, self-perceived facial image, and the severity of depressive symptoms in patients living with HIV/AIDS. A non-randomized before and after interventional study was developed. Fifty-one patients underwent facial filling. The self-perceived quality of life, facial image, and degree of depressive symptoms were measured by the Short-Form 36 and HIV/AIDS--Targeted quality of life questionnaires, by a visual analogue scale and by the Beck depression inventory, respectively, before and three months after treatment. Six of the eight domains of Short-Form 36 and eight of the nine dimensions of the HIV/AIDS--Targeted quality of life questionnaires, together with the visual analogue scale and by the Beck depression inventory scores, revealed a statistically significant improvement. The only adverse effects registered were edema and ecchymosis. The treatment of facial lipoatrophy improved the self-perceived quality of life and facial image as well as any depressive symptoms among patients with HIV/AIDS. © 2014 The International Society of Dermatology.

Effect of a 16-week Pilates exercise program on the ego resiliency and depression in elderly women

PubMed Central

Roh, Su Yeon

2016-01-01

This study aims to examine the effect of a 16-week Pilates exercise program on the ego resiliency and depression in elderly women. Before participating in Pilates exercise programs, researcher explained the purpose and the intention of the research to elderly women who were willing to participate in this research. A total of 148 elderly women agreed to participate in the program and they filled in ego resiliency and depression questionnaires. Then, the elderly participated in the 16-week Pilates exercise program and completed the same questionnaires afterwards. Collected data was analyzed by the SPSS ver. 20.0 program and results of paired t-test were as follows; there were statistically significant differences in all subvariables of the ego resiliency such as self-confidence (t=7.770, P<0.001), communication efficiency (t=2.690, P<0.01), optimistic trait (t=1.996, P<0.05), and anger management (t=4.525, P<0.001) after elderly women participated in the 16-week Pilates exercise program, there was a statistically significant difference in depression of elderly women who participated in the 16-week Pilates exercise program (t=−6.506, P<0.001) which was statistically lower than before their participation in the program. Consequently, participating in the Pilates exercise program can help improve the ego-resiliency and alleviate depression of the elderly women. PMID:27807531

Effect of a 16-week Pilates exercise program on the ego resiliency and depression in elderly women.

PubMed

Roh, Su Yeon

2016-10-01

This study aims to examine the effect of a 16-week Pilates exercise program on the ego resiliency and depression in elderly women. Before participating in Pilates exercise programs, researcher explained the purpose and the intention of the research to elderly women who were willing to participate in this research. A total of 148 elderly women agreed to participate in the program and they filled in ego resiliency and depression questionnaires. Then, the elderly participated in the 16-week Pilates exercise program and completed the same questionnaires afterwards. Collected data was analyzed by the SPSS ver. 20.0 program and results of paired t -test were as follows; there were statistically significant differences in all subvariables of the ego resiliency such as self-confidence ( t =7.770, P <0.001), communication efficiency ( t =2.690, P <0.01), optimistic trait ( t =1.996, P <0.05), and anger management ( t =4.525, P <0.001) after elderly women participated in the 16-week Pilates exercise program, there was a statistically significant difference in depression of elderly women who participated in the 16-week Pilates exercise program ( t =-6.506, P <0.001) which was statistically lower than before their participation in the program. Consequently, participating in the Pilates exercise program can help improve the ego-resiliency and alleviate depression of the elderly women.

Building Scientific Confidence in the Development and Evaluation of Read-Across - GenRA: Evaluating local validity for read-across prediction using chemical and biological information (SOT/QSAR conference)

EPA Science Inventory

Read-across remains a popular data gap filling technique within category and analogue approaches for regulatory purposes. Acceptance of read-across is an ongoing challenge with several efforts underway for identifying and addressing uncertainties. Here we demonstrate an algorithm...

Temperament and character profiles of Japanese university students with depressive episodes and ideas of suicide or self-harm: a PHQ-9 screening study.

PubMed

Mitsui, Nobuyuki; Asakura, Satoshi; Shimizu, Yusuke; Fujii, Yutaka; Kako, Yuki; Tanaka, Teruaki; Oba, Koji; Inoue, Takeshi; Kusumi, Ichiro

2013-11-01

The aim of our study was to reveal the personality traits of individuals with major and other depressive episodes among the young adult population. Furthermore, character traits of individuals with ideas of suicide or self-harm were also investigated in this study. The subjects of this study were 1421 university students who completed the Patient Health Questionnaire (PHQ-9) and the Temperament and Character Inventory (TCI). The subjects were divided into three separate groups: the major depressive episode group (N = 41), the other depressive episode group (N = 97), and the non-depressive controls (N = 1283). This separation was achieved using the PHQ-9 algorithm diagnosis. We compared the TCI scores using an analysis of variance. Moreover, the Cochran-Armitage trend test was used to determine the diagnosis, ideas of suicide or self-harm, and analysis of character profiles. The major depressive episode group had significantly higher HA (P < 0.001), lower RD (P < 0.001), lower SD (P < 0.001), and lower C (P < 0.001) scores than non-depressive controls. The other depressive episode group had significantly higher HA scores (P < 0.001) and lower SD scores (P < 0.001) than non-depressive controls. The Cochran-Armitage trend test revealed that the prevalence of depressive episodes decreased as the character profiles matured (χ(2)(trend) = 57.2, P < 0.0001). The same tendency was observed in individuals who had ideas of suicide or self-harm (χ(2)(trend) = 49.3, P < 0.0001). High HA and low SD scores were common personality traits among young adults with major depressive episodes. Furthermore, the immaturity of character profiles was clearly associated with depressive episodes and ideas of suicide or self-harm. Copyright © 2013 Elsevier Inc. All rights reserved.

Primary care practice characteristics associated with the quality of care received by patients with depression and comorbid chronic conditions.

PubMed

Menear, Matthew; Duhoux, Arnaud; Roberge, Pasquale; Fournier, Louise

2014-01-01

This study aimed to identify primary care practice characteristics associated with the quality of depression care in patients with comorbid chronic medical and/or psychiatric conditions. Using data from cross-sectional organizational and patient surveys conducted within 61 primary care clinics in Quebec, Canada, the relationships between primary care practice characteristics, comorbidity profile, and the recognition and minimally adequate treatment of depression were assessed using multilevel logistic regression analysis with 824 adults with past-year depression and comorbid chronic conditions. Likelihood of depression recognition was higher in clinics where accessibility of mental health professionals was not viewed to be a major barrier to depression care [odds ratio (OR)=1.61; 95% confidence interval (CI) 1.13-2.30]. Four practice characteristics were associated with minimal treatment adequacy: greater use of treatment algorithms for depression (OR=1.77; 95% CI=1.18-2.65), high value given to teamwork (OR=2.48; 95% CI=1.40-4.38), having at least one general practitioner at the clinic devote significant time in practice to mental health (OR=1.54; 95% CI=1.07-2.21) and low perceived barriers to depression care due to inadequate payment models (OR=2.12; 95% CI=1.30-3.46). Several primary care practice characteristics significantly influence the quality of care provided to patients with depression and comorbid chronic conditions and should be targeted in quality improvement efforts. Copyright © 2014 Elsevier Inc. All rights reserved.

Inter-Wire Antiferromagnetic Exchange Interaction in Ni/Si-Ferromagnetic/Semiconductor Nanocomposites

NASA Astrophysics Data System (ADS)

Granitzer, P.; Rumpf, K.; Hofmayer, M.; Krenn, H.; Pölt, P.; Reichmann, A.; Hofer, F.

2007-04-01

A matrix of mesoporous silicon offering an array of quasi 1-dimensional oriented pores of high aspect ratio perpendicular to the sample surface has been produced. This porous silicon (PS) skeleton is filled with Ni in a further process-step to achieve ferromagnetic metallic nanostructures within the channels. This produced silicon based nanocomposite is compatible with state-of-the-art silicon technology. Beside the vertical magnetic surface anisotropy of this Ni-filled composite the nearly monodisperse distribution of pore diameters and its regular arrangement in a quasi 2-dimensional lattice provides novel magnetic phenomena like a depression of the magnetization curve at magnetic fields beyond 2T, which can be interpreted as a field induced antiferromagnetic exchange interaction between Ni-wires which is strongly influenced by magnetostrictive stresses at the Ni/Si-interface. 2007 American Institute of Physics

Cost sharing and branded antidepressant initiation among patients treated with generics.

PubMed

Buxbaum, Jason D; Chernew, Michael E; Bonafede, Machaon; Vlahiotis, Anna; Walter, Deborah; Mucha, Lisa; Fendrick, A Mark

2018-04-01

To determine the relationship between consumer cost sharing for branded antidepressants and the initiation of branded therapy among patients with major depressive disorder (MDD) filling a prescription for generic MDD medication.  Retrospective cross-sectional analyses. Patients aged 18 to 64 years with MDD who filled a generic antidepressant were identified in commercial claims data for 2012 to 2014. For each year-specific analysis, an average cost-sharing index for branded antidepressants at the level of the plan was computed. Multivariable models were used to estimate the relationship between plan-level cost sharing for branded antidepressant medications and the filling of branded prescriptions, with demographic and clinical variables as covariates. For patients with MDD filling a generic prescription, increases in branded cost sharing were associated with significant decreases in the likelihood of filling a branded antidepressant in each year (P <.001). Results in 2012 imply that a shift from the 0th to 90th percentile in the branded cost-sharing index corresponded with a 9.5% decrease in the relative likelihood of a branded fill among patients receiving a generic antidepressant. The corresponding figures for 2013 and 2014 were 9.3% and 3.5%, respectively. In MDD, patients and clinicians who dutifully adhere to guidelines requiring a trial of first-line medication may ultimately require therapy with alternate agents to achieve adequate disease control. A "reward the good soldier" benefit design would lower cost sharing for higher-tier evidence-based therapies when clinically indicated. Results suggest that narrowing the gap in cost sharing between branded and generic medications following a trial of a generic agent might improve access to second-line treatment in MDD.

Predicting relapse in major depressive disorder using patient-reported outcomes of depressive symptom severity, functioning, and quality of life in the Individual Burden of Illness Index for Depression (IBI-D).

PubMed

Ishak, Waguih William; Greenberg, Jared M; Cohen, Robert M

2013-10-01

Patients with Major Depressive Disorder (MDD) often experience unexpected relapses, despite achieving remission. This study examines the utility of a single multidimensional measure that captures variance in patient-reported Depressive Symptom Severity, Functioning, and Quality of Life (QOL), in predicting MDD relapse. Complete data from remitted patients at the completion of 12 weeks of citalopram in the STAR*D study were used to calculate the Individual Burden of Illness index for Depression (IBI-D), and predict subsequent relapse at six (n=956), nine (n=778), and twelve months (n=479) using generalized linear models. Depressive Symptom Severity, Functioning, and QOL were all predictors of subsequent relapse. Using Akaike information criteria (AIC), the IBI-D provided a good model for relapse even when Depressive Symptom Severity, Functioning, and QOL were combined in a single model. Specifically, an increase of one in the IBI-D increased the odds ratio of relapse by 2.5 at 6 months (β=0.921 ± 0.194, z=4.76, p<2 × 10(-6)), by 2.84 at 9 months (β=1.045 ± 0.22, z=4.74, p<2.2 × 10(-6)), and by 4.1 at 12 months (β=1.41 ± 0.29, z=4.79, p<1.7 × 10(-6)). Self-report poses a risk to measurement precision. Using highly valid and reliable measures could mitigate this risk. The IBI-D requires time and effort for filling out the scales and index calculation. Technological solutions could help ease these burdens. The sample suffered from attrition. Separate analysis of dropouts would be helpful. Incorporating patient-reported outcomes of Functioning and QOL in addition to Depressive Symptom Severity in the IBI-D is useful in assessing the full burden of illness and in adequately predicting relapse, in MDD. © 2013 Elsevier B.V. All rights reserved.

Dropout from exercise randomized controlled trials among people with depression: A meta-analysis and meta regression.

PubMed

Stubbs, Brendon; Vancampfort, Davy; Rosenbaum, Simon; Ward, Philip B; Richards, Justin; Soundy, Andrew; Veronese, Nicola; Solmi, Marco; Schuch, Felipe B

2016-01-15

Exercise has established efficacy in improving depressive symptoms. Dropouts from randomized controlled trials (RCT's) pose a threat to the validity of this evidence base, with dropout rates varying across studies. We conducted a systematic review and meta-analysis to investigate the prevalence and predictors of dropout rates among adults with depression participating in exercise RCT's. Three authors identified RCT's from a recent Cochrane review and conducted updated searches of major electronic databases from 01/2013 to 08/2015. We included RCT's of exercise interventions in people with depression (including major depressive disorder (MDD) and depressive symptoms) that reported dropout rates. A random effects meta-analysis and meta regression were conducted. Overall, 40 RCT's were included reporting dropout rates across 52 exercise interventions including 1720 people with depression (49.1 years (range=19-76 years), 72% female (range=0-100)). The trim and fill adjusted prevalence of dropout across all studies was 18.1% (95%CI=15.0-21.8%) and 17.2% (95%CI=13.5-21.7, N=31) in MDD only. In MDD participants, higher baseline depressive symptoms (β=0.0409, 95%CI=0.0809-0.0009, P=0.04) predicted greater dropout, whilst supervised interventions delivered by physiotherapists (β=-1.2029, 95%CI=-2.0967 to -0.3091, p=0.008) and exercise physiologists (β=-1.3396, 95%CI=-2.4478 to -0.2313, p=0.01) predicted lower dropout. A comparative meta-analysis (N=29) established dropout was lower in exercise than control conditions (OR=0.642, 95%CI=0.43-0.95, p=0.02). Exercise is well tolerated by people with depression and drop out in RCT's is lower than control conditions. Thus, exercise is a feasible treatment, in particular when delivered by healthcare professionals with specific training in exercise prescription. Copyright © 2015 Elsevier B.V. All rights reserved.

The Relationship between Parental Depressive Symptoms, Family Type, and Adolescent Functioning

PubMed Central

Sieh, Dominik Sebstian; Visser-Meily, Johanna Maria Augusta; Meijer, Anne Marie

2013-01-01

It is evident that parental depressive symptoms negatively influence adolescent behavior and various psychosocial outcomes. Certain family types like families with a chronically ill parent and single parent families are more vulnerable to parental depressive symptoms. However, the relationship between these symptoms, family type, and adolescent functioning remains largely unclear. This study examined relations between self-report of parental depressive symptoms and adolescent functioning in 86 two-parent families including a parent with a chronic medical condition, 94 families with healthy single parents, and 69 families with 2 healthy parents (comparison group). Parents completed the Beck Depression Inventory. Adolescents filled in the Youth Self-Report measuring problem behavior, and other instruments measuring psychosocial outcomes (stress, grade point average, school problems, and self-esteem). Multilevel analyses were used to examine the effects of family type, parental depressive symptoms, adolescents' gender and age, and interaction effects on adolescent functioning. The results indicated that adolescents with chronically ill and single parents had a lower grade point average (p<.01) than the comparison group. Adolescents of single parents reported more internalizing problems (p<.01) and externalizing problems (p<.05) than children from the other family types. Parental depressive symptoms were strongly related to child report of stress (p<.001). Adolescents of depressed chronically ill parents were particularly vulnerable to internalizing problems (interaction effect, p<.05). Older children and girls, and especially older girls, displayed more internalizing problems and stress. It can be concluded that growing up with a chronically ill parent in a family with 2 parents may have less impact on adolescent problem behavior than growing up in a single parent family. Health practitioners are encouraged to be attentive to the unique and combined influence of family type and parental depressive symptoms on adolescent functioning. Older and female adolescents deserve particular attention. PMID:24260457

Practice-based learning and systems-based practice: detection and treatment monitoring of generalized anxiety and depression in primary care.

PubMed

Zupancic, Melanie; Yu, Siegfried; Kandukuri, Rajeev; Singh, Shilpa; Tumyan, Anna

2010-09-01

Quality assurance/quality improvement projects are an important part of professional development in graduate medical education. The purpose of our quality improvement study was to evaluate whether (1) the Generalized Anxiety Disorder (GAD-7) scale questionnaire increases detection of anxiety and (2) the Quick Inventory for Depressive Symptomatology Self Report (QIDS-SR) increases detection of depression in a primary care setting. We also aimed to determine whether monitoring patients with depression or generalized anxiety using the QIDS-SR and GAD-7 scales influences treatment changes in the primary care setting. Patients seen in a general internal medicine clinic between August 2008 and March 2009 were asked to fill out the QID-SR questionnaire and GAD-7 as part of a resident quality improvement project. We measured the prevalence of anxiety and depression during 6 months prior to the use of the GAD-7 and QIDS-SR instruments during the intervention period. We also compared the frequency of treatment changes initiated both 12 months prior to and during the intervention period. The aforementioned measures were performed with use of a retrospective chart review. The prevalence of anxiety was 15.2% in the pre-intervention period and 33.3% in the intervention period, and the prevalence of depression was 38.9% in the prescreening period and 54.8% during the screening period (P value for both was <0.001). The change in anxiety therapy was 21.6% in the prescreening period and 62.2% in the screening period (P  =  .028). The change in depression therapy was 23.2% in the pre-intervention period and 52.1% in the intervention period (P  =  .025). Routine screening for depression and anxiety may help clinicians detect previously undiagnosed anxiety and depression and also may facilitate identification of needed treatment changes. Further work is needed to determine whether routine screening improves patient outcomes.

An algorithm for treating flat areas and depressions in digital elevation models using linear interpolation

EPA Science Inventory

Digital elevation model (DEM) data are essential to hydrological applications and have been widely used to calculate a variety of useful topographic characteristics, e.g., slope, flow direction, flow accumulation area, stream channel network, topographic index, and others. Excep...

Mental state and its psychophysical conditions in patients with acute leukaemia treated with bone marrow transplantation.

PubMed

Warchala, Anna; Wojtyna, Ewa; Krysta, Krzysztof

2015-09-01

Acute leukaemia and bone marrow transplantation (BMT) as a method of its treatment are great psychological stressors, which are responsible for anxiety and depression in the group of patients. The aim of the study was to assess the patients' mental state and its psychophysical predictors before and after BMT. The study was of a longitudinal and self-descriptive character. The questionnaires: LOT-R, AIS, Mini-Mac, CECS, RSCL and HADS were filled by 60 patients with acute leukaemia before and after BMT. There were no essential statistical differences between the severity of anxiety and depression before and after BMT but the pattern and the power of various mental state predictors changed in the course of the hospitalization. Anxiety before transplantation was greater when the psychological stress and the strategy of "anxious preoccupation" were stronger and the strategy of "fighting spirit" and the level of generalized optimism were weaker. The factors explained 51% variations of anxiety before transplantation. After BMT 77% variations of anxiety were explained, which were associated with a high level of distress at the end of the hospitalization, higher level of anxiety before transplantation, weaker strategy of "fighting spirit" before transplantation and stronger strategy of "anxious preoccupation" after BMT. Before transplantation 36% variations of depression were explained and estimated as weaker "fighting spirit" and worse "global life quality". The essential predictors of depressive symptoms after transplantation, explained by 81% variations of depression, were weaker "fighting spirit" before transplantation, stronger "anxious preoccupation" after transplantation, worse "global life quality" after transplantation and higher level of anxious and depressive symptoms on admission to hospital. The psychological and pharmacological interventions, which reduce anxiety, depression and "anxious preoccupation" as well as enhance "fighting spirit", should be introduced before BMT to improve the patients' mental state.

Psychiatric comorbidities and photophobia in patients with migraine.

PubMed

Seidel, Stefan; Beisteiner, Roland; Manecke, Maike; Aslan, Tuna Stefan; Wöber, Christian

2017-12-01

Based on recent findings and our own impressions we took a closer look at the relationship between (inter)ictal photophobia and psychometric variables in migraine patients with photophobia. For this study we included 29 (27 female) migraine patients and 31 (18 female) controls with a mean age of 31.6 ± 12.5 years and 24.0 ± 4.1 years, respectively. All participants filled out the Depression Anxiety Stress Scale (DASS). Interictal photophobia in patients was significantly higher than photophobia in controls (p = .001). Patients showed statistically significantly higher levels of depressive symptoms (p < .001), anxiety symptoms (p < .001) and stress (p < .001) than controls. Among all participants, (interictal) photophobia correlated positively with age (rho = .318, p = .013) as well as with the levels of depressive symptoms (rho = .459, p < .001), anxiety symptoms (rho = .346, p = .008) and stress (rho = .368, p = .005), but not with gender. In the patients, ictal photophobia correlated positively with age (rho = .473, p = .01) and interictal photophobia (rho = .423, p = .022). Linear regression analysis revealed only a trend towards statistical significance for (interictal) photophobia as a predictor for the level of depressive symptoms (rho = .457, p = 0.056) in the whole sample. Considering higher levels of photophobia in depression and the comorbidity of migraine and depression, it might be possible that depression contributes to interictal photophobia in patients with migraine. The same may be true for anxiety and stress. Both are also related to migraine and their possible impact on photophobia in migraine may be explained by pupillary dysfunction.

Stress, anxiety, and depression among medical students in a multiethnic setting.

PubMed

Kulsoom, Bibi; Afsar, Nasir Ali

2015-01-01

Contemporary literature suggests that medical education might adversely affect students' mental health. Alfaisal University in Riyadh, Saudi Arabia is a developing institution; hence, there has been a concern regarding the mental well-being of the students. This study was designed to assess the traits of depression, anxiety, and stress among students in relation to potential underlying reasons. All 575 medical students across the 5 years of study participated by filling out the Depression, Anxiety, and Stress Scale-21 (DASS-21) questionnaire anonymously twice. Firstly, 2-3 weeks before a major examination (pre-examination), and secondly, during regular classes (post-examination). Correlation was sought regarding sex, year of scholarship, attendance of a premedical university preparatory program (UPP), housing, and smoking. Subjective comments from students were also obtained. A total of 76.8% and 74.9% of students participated in pre-and post-examination groups, respectively. The majority were the children of expatriate workers in Saudi Arabia, and included Arabs, South Asians, and North Americans. Prevalence of depression, anxiety, and stress was high (43%, 63%, and 41%, respectively) which reduced (to 30%, 47%, and 30%, respectively) to some extent after examinations. Saudis and those who had attended UPP had higher DASS-21 scores. Smoking and female sex predicted higher levels of "baseline" depression, anxiety, or stress. The students perceived the curriculum and schedule to be the primary causes of their high DASS-21 scores. The students had high "baseline" traits of depression, anxiety, and stress, and these were higher if an examination was near, especially among Saudis and those who had attended UPP. Smoking and female sex predicted higher levels of "baseline" depression, anxiety, or stress. Students suggested that study burden and a busy schedule were the major reasons for their high DASS-21 scores.

The effect of improvisational music therapy on the treatment of depression: protocol for a randomised controlled trial.

PubMed

Erkkilä, Jaakko; Gold, Christian; Fachner, Jörg; Ala-Ruona, Esa; Punkanen, Marko; Vanhala, Mauno

2008-06-28

Music therapy is frequently offered to individuals suffering from depression. Despite the lack of research into the effects of music therapy on this population, anecdotal evidence suggests that the results are rather promising. The aim of this study is to examine whether improvisational, psychodynamically orientated music therapy in an individual setting helps reduce symptoms of depression and improve other health-related outcomes. In particular, attention will be given to mediator agents, such as musical expression and interaction in the sessions, as well as to the explanatory potential of EEG recordings in investigating emotion related music perception of individuals with depression. 85 adults (18-50 years of age) with depression (ICD-10: F 32 or F33) will be randomly assigned to an experimental or a control condition. All participants will receive standard care, but the experimental group will be offered biweekly sessions of improvisational music therapy over a period of 3 months. A blind assessor will measure outcomes before testing, after 3 months, and after 6 months. This study aims to fill a gap in knowledge as to whether active (improvisational) music therapy applied to people with depression improves their condition. For the first time in this context, the mediating processes, such as changes in musical expression and interaction during the course of therapy, will be objectively investigated, and it is expected that the results will provide new insights into these processes. Furthermore, the findings are expected to reveal whether music related emotional experiences, as measured by EEG, can be utilized in assessing a depressive client's improvement in the therapy. The size and the comprehensiveness of the study are sufficient for generalizing its findings to clinical practice as well as to further music therapy research. ISRCTN84185937.

Precursors of social emotional functioning among full-term and preterm infants at 12 months: Early infant withdrawal behavior and symptoms of maternal depression.

PubMed

Moe, Vibeke; Braarud, Hanne Cecilie; Wentzel-Larsen, Tore; Slinning, Kari; Vannebo, Unni Tranaas; Guedeney, Antoine; Heimann, Mikael; Rostad, Anne Margrethe; Smith, Lars

2016-08-01

This study forms part of a longitudinal investigation of early infant social withdrawal, maternal symptoms of depression and later child social emotional functioning. The sample consisted of a group of full-term infants (N=238) and their mothers, and a group of moderately premature infants (N=64) and their mothers. At 3 months, the infants were observed with the Alarm Distress Baby Scale (ADBB) and the mothers completed the Edinburgh Postnatal Depression Scale (EPDS). At 12 months, the mothers filled out questionnaires about the infants' social emotional functioning (Infant Toddler Social Emotional Assessment and the Ages and Stages Questionnaire-Social Emotional). At 3 months, as we have previously shown, the premature infants had exhibited more withdrawal behavior and their mothers reported elevated maternal depressive symptoms as compared with the full-born group. At 12 months the mothers of the premature infants reported more child internalizing behavior. These data suggest that infant withdrawal behavior as well as maternal depressive mood may serve as sensitive indices of early risk status. Further, the results suggest that early maternal depressive symptoms are a salient predictor of later child social emotional functioning. However, neither early infant withdrawal behavior, nor gestational age, did significantly predict social emotional outcome at 12 months. It should be noted that the differences in strength of the relations between ADBB and EPDS, respectively, to the outcome at 12 months was modest. An implication of the study is that clinicians should be aware of the complex interplay between early infant withdrawal and signs of maternal postpartum depression in planning ports of entry for early intervention. Copyright © 2016 Elsevier Inc. All rights reserved.

From loss to loneliness: The relationship between bereavement and depressive symptoms.

PubMed

Fried, Eiko I; Bockting, Claudi; Arjadi, Retha; Borsboom, Denny; Amshoff, Maximilian; Cramer, Angélique O J; Epskamp, Sacha; Tuerlinckx, Francis; Carr, Deborah; Stroebe, Margaret

2015-05-01

Spousal bereavement can cause a rise in depressive symptoms. This study empirically evaluates 2 competing explanations concerning how this causal effect is brought about: (a) a traditional latent variable explanation, in which loss triggers depression which then leads to symptoms; and (b) a novel network explanation, in which bereavement directly affects particular depression symptoms which then activate other symptoms. We used data from the Changing Lives of Older Couples (CLOC) study and compared depressive symptomatology, assessed via the 11-item Center for Epidemiologic Studies Depression Scale (CES-D), among those who lost their partner (N = 241) with a still-married control group (N = 274). We modeled the effect of partner loss on depressive symptoms either as an indirect effect through a latent variable, or as a direct effect in a network constructed through a causal search algorithm. Compared to the control group, widow(er)s' scores were significantly higher for symptoms of loneliness, sadness, depressed mood, and appetite loss, and significantly lower for happiness and enjoyed life. The effect of partner loss on these symptoms was not mediated by a latent variable. The network model indicated that bereavement mainly affected loneliness, which in turn activated other depressive symptoms. The direct effects of spousal loss on particular symptoms are inconsistent with the predictions of latent variable models, but can be explained from a network perspective. The findings support a growing body of literature showing that specific adverse life events differentially affect depressive symptomatology, and suggest that future studies should examine interventions that directly target such symptoms. (c) 2015 APA, all rights reserved).

Associations of early childhood adversities with mental disorders, psychological functioning, and suitability for psychotherapy in adulthood.

PubMed

Heinonen, Erkki; Knekt, Paul; Härkänen, Tommi; Virtala, Esa; Lindfors, Olavi

2018-06-01

Childhood adversities frequently precede adulthood depression and anxiety. Yet, how they impact needed treatment duration, type or focus in these common disorders, is unclear. For developing more individualized and precise interventions, we investigated whether specific early adversities associate with patients' distinct psychiatric problems, psychological vulnerabilities, and suitability for psychotherapy. A total of 221 depressed and anxious adult outpatients (excluding psychotic, severe personality, bipolar, and substance abuse disorders) referred from community, student, occupational, and private healthcare services filled the Childhood Family Atmosphere Questionnaire (CFAQ). They also filled self-reports on interpersonal behavior and problems, perceived competence, dispositional optimism, sense of coherence, defenses, and psychiatric history. Clinicians assessed the patients' symptomatology, personality, object relations, cognitive performance, and psychotherapy suitability. Regression analyses were conducted. Childhood adversities predicted both worse current psychological functioning (e.g., interpersonal problems), and better clinician-rated capacities for benefiting from psychotherapy (e.g. self-reflection, capacity for interaction). Parental problems had the most numerous negative associations to psychological functioning. Best capacities for psychotherapy were predicted by recollected family unhappiness. Associations with psychiatric criteria were, however, largely non-significant. In conclusion, for psychosocial treatment planning, patients' early adversities may indicate both vulnerability and resources. As childhood adversities are frequent among treatment-seekers, further studies examining how early adversities predict psychotherapy outcome are needed. Copyright © 2018. Published by Elsevier B.V.

[Tinnitus: algorithm of diagnostics and clinical management].

PubMed

Boiko, N V

Hearing of sound, or tinnitus, can be a symptom of different diseases. The differential diagnosis should be based on the identification of subgroups with confirmed causes of the disease. Subjective and objective tinnitus groups should be isolated. Objective tinnitus can be vascular or muscular. In making a diagnosis of tinnitus, it is important to know its characteristics, laterality, circumstances of onset, duration, comorbidity with other symptoms: headache, hearing decline, dizziness, depression, etc. Urgent diagnostic and treatment measures are needed after the identification of 'red flags': acute pulsatile tinnitus, in particular after the brain injury, combination of tinnitus with acute hearing loss and depression.

Social capital - a mixed blessing for women? A cross-sectional study of different forms of social relations and self-rated depression in Moscow.

PubMed

Ferlander, Sara; Stickley, Andrew; Kislitsyna, Olga; Jukkala, Tanya; Carlson, Per; Mäkinen, Ilkka Henrik

2016-07-22

Depression is a major health problem worldwide, especially among women. The condition has been related to a number of factors, such as alcohol consumption, economic situation and, more recently, to social capital. However, there have been relatively few studies about the social capital-depression relationship in Eastern Europe. This paper aims to fill this gap by examining the association between different forms of social capital and self-rated depression in Moscow. Differences between men and women will also be examined, with a special focus on women. Data was obtained from the Moscow Health Survey, which was conducted in 2004 with 1190 Muscovites aged 18 years or above. For depression, a single-item self-reported measure was used. Social capital was operationalised through five questions about different forms of social relations. Logistic regression analysis was undertaken to estimate the association between social capital and self-rated depression, separately for men and women. More women (48 %) than men (36 %) reported that they had felt depressed during the last year. An association was found between social capital and reported depression only among women. Women who were divorced or widowed or who had little contact with relatives had higher odds of reporting depression than those with more family contact. Women who regularly engaged with people from different age groups outside of their families were also more likely to report depression than those with less regular contact. Social capital can be a mixed blessing for women. Different forms of social relations can lead to different health outcomes, both positive and negative. Although the family is important for women's mental health in Moscow, extra-familial relations across age groups can be mentally distressing. This suggests that even though social capital can be a valuable resource for mental health, some of its forms can be mentally deleterious to maintain, especially for women. More research is needed on both sides to social capital. A special focus should be placed on bridging social relations among women in order to better understand the complex association between social capital and depression in Russia and elsewhere.

Automatic Correction Algorithm of Hyfrology Feature Attribute in National Geographic Census

NASA Astrophysics Data System (ADS)

Li, C.; Guo, P.; Liu, X.

2017-09-01

A subset of the attributes of hydrologic features data in national geographic census are not clear, the current solution to this problem was through manual filling which is inefficient and liable to mistakes. So this paper proposes an automatic correction algorithm of hydrologic features attribute. Based on the analysis of the structure characteristics and topological relation, we put forward three basic principles of correction which include network proximity, structure robustness and topology ductility. Based on the WJ-III map workstation, we realize the automatic correction of hydrologic features. Finally, practical data is used to validate the method. The results show that our method is highly reasonable and efficient.

Error-proofing test system of industrial components based on image processing

NASA Astrophysics Data System (ADS)

Huang, Ying; Huang, Tao

2018-05-01

Due to the improvement of modern industrial level and accuracy, conventional manual test fails to satisfy the test standards of enterprises, so digital image processing technique should be utilized to gather and analyze the information on the surface of industrial components, so as to achieve the purpose of test. To test the installation parts of automotive engine, this paper employs camera to capture the images of the components. After these images are preprocessed including denoising, the image processing algorithm relying on flood fill algorithm is used to test the installation of the components. The results prove that this system has very high test accuracy.

Automated Breast Ultrasound for Ductal Pattern Reconstruction: Ground Truth File Generation and CADe Evaluation

NASA Astrophysics Data System (ADS)

Manousaki, D.; Panagiotopoulou, A.; Bizimi, V.; Haynes, M. S.; Love, S.; Kallergi, M.

2017-11-01

The purpose of this study was the generation of ground truth files (GTFs) of the breast ducts from 3D images of the Invenia™ Automated Breast Ultrasound System (ABUS) system (GE Healthcare, Little Chalfont, UK) and the application of these GTFs for the optimization of the imaging protocol and the evaluation of a computer aided detection (CADe) algorithm developed for automated duct detection. Six lactating, nursing volunteers were scanned with the ABUS before and right after breastfeeding their infants. An expert in breast ultrasound generated rough outlines of the milk-filled ducts in the transaxial slices of all image volumes and the final GTFs were created by using thresholding and smoothing tools in ImageJ. In addition, a CADe algorithm automatically segmented duct like areas and its results were compared to the expert’s GTFs by estimating true positive fraction (TPF) or % overlap. The CADe output differed significantly from the expert’s but both detected a smaller than expected volume of the ducts due to insufficient contrast (ducts were partially filled with milk), discontinuities, and artifacts. GTFs were used to modify the imaging protocol and improve the CADe method. In conclusion, electronic GTFs provide a valuable tool in the optimization of a tomographic imaging system, the imaging protocol, and the CADe algorithms. Their generation, however, is an extremely time consuming, strenuous process, particularly for multi-slice examinations, and alternatives based on phantoms or simulations are highly desirable.

Dissecting the determinants of depressive disorders outcome: an in depth analysis of two clinical cases

PubMed Central

Serretti, Alessandro; Calati, Raffaella; Oasi, Osmano; De Ronchi, Diana; Colombo, Cristina

2007-01-01

Clinicians face everyday the complexity of depression. Available pharmacotherapies and psychotherapies improve patients suffering in a large part of subjects, however up to half of patients do not respond to treatment. Clinicians may forecast to a good extent if a given patient will respond or not, based on a number of data and sensations that emerge from face to face assessment. Conversely, clinical predictors of non response emerging from literature are largely unsatisfactory. Here we try to fill this gap, suggesting a comprehensive assessment of patients that may overcome the limitation of standardized assessments and detecting the factors that plausibly contribute to so marked differences in depressive disorders outcome. For this aim we present and discuss two clinical cases. Mr. A was an industrial manager who came to psychiatric evaluation with a severe depressive episode. His employment was demanding and the depressive episode undermined his capacity to manage it. Based on standardized assessment, Mr. A condition appeared severe and potentially dramatic. Mrs. B was a housewife who came to psychiatric evaluation with a moderate depressive episode. Literature predictors would suggest Mrs. B state as associated with a more favourable outcome. However the clinician impression was not converging with the standardized assessment and in fact the outcome will reverse the prediction based on the initial formal standard evaluation. Although the present report is based on two clinical cases and no generalizability is possible, a more detailed analysis of personality, temperament, defense mechanisms, self esteem, intelligence and social adjustment may allow to formalize the clinical impressions used by clinicians for biologic and pharmacologic studies. PMID:17286859

The temporal dynamics of cortisol and affective states in depressed and non-depressed individuals.

PubMed

Booij, Sanne H; Bos, Elisabeth H; de Jonge, Peter; Oldehinkel, Albertine J

2016-07-01

Cortisol levels have been related to mood disorders at the group level, but not much is known about how cortisol relates to affective states within individuals over time. We examined the temporal dynamics of cortisol and affective states in depressed and non-depressed individuals in daily life. Specifically, we addressed the direction and timing of the effects, as well as individual differences. Thirty depressed and non-depressed participants (aged 20-50 years) filled out questionnaires regarding their affect and sampled saliva three times a day for 30 days in their natural environment. They were pair-matched on age, gender, smoking behavior and body mass index. The multivariate time series (T=90) of every participant were analyzed using vector autoregressive (VAR) modeling to assess lagged effects of cortisol on affect, and vice versa. Contemporaneous effects were assessed using the residuals of the VAR models. Impulse response function analysis was used to examine the timing of effects. For 29 out of 30 participants, a VAR model could be constructed. A significant relationship between cortisol and positive or negative affect was found for the majority of the participants, but the direction, sign, and timing of the relationship varied among individuals. This approach proves to be a valuable addition to traditional group designs, because our results showed that daily life fluctuations in cortisol can influence affective states, and vice versa, but not in all individuals and in varying ways. Future studies may examine whether these individual differences relate to susceptibility for or progression of mood disorders. Copyright © 2016 Elsevier Ltd. All rights reserved.

[State and trait anxiety level and increase of depression among mothers of children with attention deficit hyperactivity disorder and conduct disorder. pilot study].

PubMed

Wolafnczyk, Tomasz; Wolafnczyk, Tomasz; Kolakowski, Artur; Pisula, Agnieszka; Liwska, Monika; Zlotkowska, Malgorzata; Srebnicki, Tomasz; Bryliska, Anita

2014-01-01

To evaluate anxiety level (as a trait and as a state) and the intensity of depressive symptoms in mothers of children with hyperkinetic disorder (HD) and with and without comorbid conduct disorder (CD); to determine the relationship between the intensity of anxiety and depression and intensity of symptoms of HD. Beck Depression Inventory (BDI) and STAI questionnaire to measure state-trait anxiety were filled by 24 mothers of children with HD and 26 mothers of children without HD. Mothers of children with HD were also asked to complete the Conners Questionnaire for Parents and Teachers (IOWA). Teachers were asked to complete the Conners Questionnaire for Teachers (RCTS). 75% of HD subjects had a comorbid CD, in comparison with 19.2 % in the control group. No significant differences were found between the mothers of children with HD and the control group in the results of BDI scale and STAI questionnaire in anxiety state and anxiety trait subscales. The difference was found between mothers of children with CD and without CD in anxiety-state subscale in STAI questionnaire. No correlations were found between the number of depressive symptoms, anxiety as a state and as a trait and the results of Conners IOWA and RCTS. The presence of HD in children does not correlate with the level of depression and anxiety in their mothers. There is a relationship between the presence of CD in children and elevated levels of state anxiety in their mothers.

The development of peripartum depressive symptoms is associated with gene polymorphisms of MAOA, 5-HTT and COMT.

PubMed

Doornbos, Bennard; Dijck-Brouwer, D A Janneke; Kema, Ido P; Tanke, Marit A C; van Goor, Saskia A; Muskiet, Frits A J; Korf, Jakob

2009-10-01

Polymorphisms of monoamine-related genes have been associated with depression following life events. The peripartum is a physiologically and psychologically challenging period, characterized by fluctuations in depressive symptoms, therefore facilitating prospective investigations in this gene x environment (G x E) interaction. Eighty nine pregnant women filled in two Edinburgh Postpartum Depression Scale (EPDS) questionnaires during pregnancy and two in the postpartum period. MAOA, COMT and 5-HTT polymorphisms were analyzed. We found a significant interaction between the development of depressive symptoms in the course of pregnancy and polymorphisms in 5-HTT (p=0.019); MAOA (p=0.044) and COMT (p=0.026), and MAOA x COMT (p<0.001). Particularly, women carrying the combination of low activity variants of MAOA and COMT showed increased EPDS scores at week 36 of pregnancy and 6 weeks postpartum, but not during early pregnancy or 12 weeks postpartum. We found that MAOA in combination with COMT appears to regulate not only the stress response in laboratory experiments, but also seems to influence the stress-evoked onset of mood during normal, mild, stressful events, such as experienced in the peripartum period. These findings support the GxE concept for depression, but they underline the complexity of this concept, as the cumulating effects of these polymorphic genes (i.e. MAOA+COMT) might be needed and the effects of these polymorphic genes becomes apparent in special environmental or physiological conditions (i.e. the peripartum period). We therefore suggest that G x E interactions become especially noticeable from longitudinal study designs in specific physiological or social challenging periods.

ASSESSING THE SLEEP QUALITY AND DEPRESSION-ANXIETY-STRESS IN IRRITABLE BOWEL SYNDROME PATIENTS.

PubMed

Baniasadi, Nadieh; Dehesh, Mohammad Moein; Mohebbi, Elham; Hayatbakhsh Abbasi, Mahdy; Oghabian, Zohreh

2017-01-01

Irritable bowel syndrome (IBS) is one of the most common functional gastrointestinal disorders with chronic abdominal pain and altered bowel habit without any organic reason. Sleep disorders may be associated to IBS. We aimed to assess sleep disturbances and depression-anxiety-stress in IBS patients. In this analytical cross sectional study from November 2013 to May 2014, A total of 123 IBS patients were recruited by simple random sampling. IBS was diagnosed using ROME-III criteria. Demographic and basic data were driven from all patients then Pittsburg Sleep Quality Index questionnaire was utilized to estimate sleep quality and DASS (depression anxiety stress scale) questionnaire was filled out for depression, anxiety and stress. The mean age of patients was 29±9, where 48 cases (39%) were male. Twelve cases (10%) had a background disease. Types of IBS in patients were included 38% diarrhea, 42% constipation and 20% mixed. From all IBS patients 87 (71%) cases had depression, 97 (79%) patients stress, 94 (76%) patients had anxiety. Seventy-six (62%) cases of IBS patients had poor sleep quality. Simultaneously employing predictors demonstrate that gender, background disease, and type of IBS did not statistically significant. On the other hand, depression (P=0.034, OR=2.35), anxiety (P=0.011, OR=3.022), and stress (P=0.029, OR=2.77) were significantly effect on sleep quality in poor sleepers. Many of IBS patients is suffering from poor sleep quality. It seems that sleep disorder should be considered and treated in this patients.

Social problem-solving, perceived stress, depression and life-satisfaction in patients suffering from tension type and migraine headaches.

PubMed

Eskin, Mehmet; Akyol, Ali; Çelik, Emine Yilmaz; Gültekin, Bülent Kadri

2013-08-01

This study aimed at investigating social problem solving, perceived stress, depression, and life-satisfaction in patients with tension type and migraine headaches. Forty-nine migraine and 42 tension type headache patients (n = 91) consenting to participate were compared to a total of 49 matched healthy control group. Participants filled in a questionnaire consisting self-report measures of problem solving, perceived stress, depression and life satisfaction. They were also asked about headache duration, frequency, pain severity, psychiatric treatment and sense of control in one's life. T-tests, chi-square, analysis of variance, logistic regression analysis and Pearson product moment correlation coefficient procedures were used to analyze the data. Tension type headache patients reported having had more frequent headaches than the migraine patients but migraine patients reported having had more intense pain than the tension type headache patients. Instances of psychiatric treatment were more common among tension type headache patients than the migraine and the control group. Compared to the healthy controls, headache patients displayed a deficiency in problem solving, higher levels of perceived stress and depression. Levels of problem solving skills in headache patients were related inversely to depression, perceived stress and the number of negative life events but problem solving skills of headache patients was related positively to life-satisfaction. The findings from this study suggested that cognitive behavioral problem solving therapy or training might be a viable option for reducing levels of stress and depression, and to increase life-satisfaction in patients suffering from primary headache. © 2013 The Scandinavian Psychological Associations.

The Effect of Postpartum Depression and Current Mental Health Problems of the Mother on Child Behaviour at Eight Years.

PubMed

Closa-Monasterolo, R; Gispert-Llaurado, M; Canals, J; Luque, V; Zaragoza-Jordana, M; Koletzko, B; Grote, V; Weber, M; Gruszfeld, D; Szott, K; Verduci, E; ReDionigi, A; Hoyos, J; Brasselle, G; Escribano Subías, J

2017-07-01

Background Maternal postpartum depression (PPD) could affect children's emotional development, increasing later risk of child psychological problems. The aim of our study was to assess the association between child's emotional and behavioural problems and mother's PPD, considering maternal current mental health problems (CMP). Methods This is a secondary analysis from the EU-Childhood Obesity Project (NCT00338689). Women completed the Edinburgh Postnatal Depression Scale (EPDS) at, 2, 3 and 6 months after delivery and the General Health Questionnaire (GHQ-12) to assess CMP once the children reached the age of 8 years. EPDS scores > 10 were defined as PPD and GHQ-12 scores > 2 were defined as CMP. The psychological problems of the children at the age of eight were collected by mothers through the Child's Behaviour Checklist (CBCL). Results 473, 474 and 459 mothers filled in GHQ-12 and CBCL tests at 8 years and EPDS at 2, 3 and 6 months, respectively. Anxiety and depression was significantly increased by maternal EPDS. Children whose mothers had both PPD and CMP exhibited the highest levels of psychological problems, followed by those whose mothers who had only CMP and only PPD. PPD and CMP had a significant effect on child's total psychological problems (p = 0.033, p < 0.001, respectively). Children whose mothers had PPD did not differ from children whose mothers did not have any depression. Conclusions Maternal postpartum depression and current mental health problems, separately and synergistically, increase children's psychological problems at 8 years.

Assessing mood symptoms through heartbeat dynamics: An HRV study on cardiosurgical patients.

PubMed

Gentili, Claudio; Messerotti Benvenuti, Simone; Palomba, Daniela; Greco, Alberto; Scilingo, Enzo Pasquale; Valenza, Gaetano

2017-12-01

Heart Rate Variability (HRV) is reduced both in depression and in coronary heart disease (CHD) suggesting common pathophysiological mechanisms for the two disorders. Within CHD, cardiac surgery patients (CSP) with postoperative depression are at greater risk of adverse cardiac events. Therefore, CSP would especially benefit from depression early diagnosis. Here we tested whether HRV-multi-feature analysis discriminates CSP with or without depression and provides an effective estimation of symptoms severity. Thirty-one patients admitted to cardiac rehabilitation after first-time cardiac surgery were recruited. Depressive symptoms were assessed with the Center for Epidemiologic Studies Depression Scale (CES-D). HRV features in time, frequency, and nonlinear domains were extracted from 5-min-ECG recordings at rest and used as predictors of "least absolute shrinkage and selection" (LASSO) operator regression model to estimate patients' CES-D score and to predict depressive state. The model significantly predicted the CES-D score in all subjects (the total explained variance of CES-D score was 89.93%). Also it discriminated depressed and non-depressed CSP with 86.75% accuracy. Seven of the ten most informative metrics belonged to non-linear-domain. A higher number of patients evaluated also with a structured clinical interview would help to generalize the present findings. To our knowledge this is the first study using a multi-feature approach to evaluate depression in CSP. The high informative power of HRV-nonlinear metrics suggests their possible pathophysiological role both in depression and in CHD. The high-accuracy of the algorithm at single-subject level opens to its translational use as screening tool in clinical practice. Copyright © 2017 Elsevier Ltd. All rights reserved.

Health, Social, and Economic Variables Associated with Depression Among Older People in Low and Middle Income Countries: World Health Organization Study on Global AGEing and Adult Health.

PubMed

Brinda, Ethel M; Rajkumar, Anto P; Attermann, Jǿrn; Gerdtham, Ulf G; Enemark, Ulrika; Jacob, Kuruthukulangara S

2016-12-01

Although depression among older people is an important public health problem worldwide, systematic studies evaluating its prevalence and determinants in low and middle income countries (LMICs) are sparse. The biopsychosocial model of depression and prevailing socioeconomic hardships for older people in LMICs have provided the impetus to determine the prevalence of geriatric depression; to study its associations with health, social, and economic variables; and to investigate socioeconomic inequalities in depression prevalence in LMICs. The authors accessed the World Health Organization Study on Global AGEing and Adult Health Wave 1 data that studied nationally representative samples from six large LMICs (N = 14,877). A computerized algorithm derived depression diagnoses. The authors assessed hypothesized associations using survey multivariate logistic regression models for each LMIC and pooled their risk estimates by meta-analyses and investigated related socioeconomic inequalities using concentration indices. Cross-national prevalence of geriatric depression was 4.7% (95% CI: 1.9%-11.9%). Female gender, illiteracy, poverty, indebtedness, past informal-sector occupation, bereavement, angina, and stroke had significant positive associations, whereas pension support and health insurance showed significant negative associations with geriatric depression. Pro-poor inequality of geriatric depression were documented in five LMICs. Socioeconomic factors and related inequalities may predispose, precipitate, or perpetuate depression amongolder people in LMICs. Relative absence of health safety net places socioeconomically disadvantaged older people in LMICs at risk. The need for population-based public health interventions and policies to prevent and to manage geriatric depression effectively in LMICs cannot be overemphasized. Copyright © 2016 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

Interactive associations of depression and sleep apnea with adverse clinical outcomes after acute myocardial infarction

PubMed Central

Hayano, Junichiro; Carney, Robert M.; Watanabe, Eiichi; Kawai, Kiyohiro; Kodama, Itsuo; Stein, Phyllis K.; Watkins, Lana L.; Freedland, Kenneth E.; Blumenthal, James A.

2012-01-01

Objective Depression and sleep apnea (SA) are common among patients after acute myocardial infarction (AMI), and both are associated with increased risk for adverse outcomes. We tested the hypothesis that there is an interaction between depression and SA in relation to prognosis in post-AMI patients. Methods Participants were 337 depressed and 379 nondepressed post-AMI patients who participated in a substudy of the Enhancing Recovery in Coronary Heart Disease (ENRICHD) clinical trial. SA was identified from Holter ECG at the entry by an algorithm that detects cyclic variation of heart rate. Results During a median follow-up of 25 months, 43 (6.0%) of patients died and 83 (11.6%) either died or experienced a recurrent AMI. Among 94 patients with both depression and SA, these endpoints occurred in 20 (21.3%) and 25 (26.6%), the prevalence that was 6.9 and 3.9 times higher than predicted probabilities by ENRICHD clinical risk scores (P <.001 for both). In the patients with depression alone, SA alone, or neither, the frequencies did not differ significantly from the predicted probability. Although both depression and SA predicted death and the combined endpoint, we observed depression by SA interactions (P = .03 and .02). SA independently predicted these endpoints in depressed (P <.001 and P = .001), but not in nondepressed patients (P = .73 and .84). Similarly, depression independently predicted these endpoints in SA (P <.001 for both), but not in non-SA patients (P = .61 and .12). Conclusion The combination of depression and SA estimated by CVHR is associated with long-term adverse clinical outcomes after AMI. PMID:23023681

Symptoms of depression in survivors of severe sepsis: a prospective cohort study of older Americans.

PubMed

Davydow, Dimitry S; Hough, Catherine L; Langa, Kenneth M; Iwashyna, Theodore J

2013-09-01

To examine if incident severe sepsis is associated with increased risk of subsequent depressive symptoms and to assess which patient characteristics are associated with increased risk of depressive symptoms. Prospective longitudinal cohort study. Population-based cohort of older U.S. adults interviewed as part of the Health and Retirement Study (1998-2006). A total of 439 patients who survived 471 hospitalizations for severe sepsis and completed at least one follow-up interview. Depressive symptoms were assessed with a modified version of the Center for Epidemiologic Studies Depression Scale. Severe sepsis was identified using a validated algorithm in Medicare claims. The point prevalence of substantial depressive symptoms was 28% at a median of 1.2 years before sepsis, and remained 28% at a median of 0.9 years after sepsis. Neither incident severe sepsis (relative risk [RR]: 1.00; 95% confidence interval [CI]: 0.73, 1.34) nor severe sepsis-related clinical characteristics were significantly associated with subsequent depressive symptoms. These results were robust to potential threats from missing data or alternative outcome definitions. After adjustment, presepsis substantial depressive symptoms (RR: 2.20; 95% CI: 1.66, 2.90) and worse postsepsis functional impairment (RR: 1.08 per new limitation; 95% CI: 1.03, 1.13) were independently associated with substantial depressive symptoms after sepsis. The prevalence of substantial depressive symptoms in severe sepsis survivors is high but is not increased relative to their presepsis levels. Identifying this large subset of severe sepsis survivors at increased risk for major depression, and beginning interventions before hospital discharge, may improve outcomes. Copyright © 2013 American Association for Geriatric Psychiatry. Published by Elsevier Inc. All rights reserved.

Image-based modeling of the flow transition from a Berea rock matrix to a propped fracture

NASA Astrophysics Data System (ADS)

Sanematsu, P.; Willson, C. S.; Thompson, K. E.

2013-12-01

In the past decade, new technologies and advances in horizontal hydraulic fracturing to extract oil and gas from tight rocks have raised questions regarding the physics of the flow and transport processes that occur during production. Many of the multi-dimensional details of flow from the rock matrix into the fracture and within the proppant-filled fracture are still unknown, which leads to unreliable well production estimations. In this work, we use x-ray computed micro tomography (XCT) to image 30/60 CarboEconoprop light weight ceramic proppant packed between berea sandstone cores (6 mm in diameter and ~2 mm in height) under 4000 psi (~28 MPa) loading stress. Image processing and segmentation of the 6 micron voxel resolution tomography dataset into solid and void space involved filtering with anisotropic diffusion (AD), segmentation using an indicator kriging (IK) algorithm, and removal of noise using a remove islands and holes program. Physically-representative pore network structures were generated from the XCT images, and a representative elementary volume (REV) was analyzed using both permeability and effective porosity convergence. Boundary conditions were introduced to mimic the flow patterns that occur when fluid moves from the matrix into the proppant-filled fracture and then downstream within the proppant-filled fracture. A smaller domain, containing Berea and proppants close to the interface, was meshed using an in-house unstructured meshing algorithm that allows different levels of refinement. Although most of this domain contains proppants, the Berea section accounted for the majority of the elements due to mesh refinement in this region of smaller pores. A finite element method (FEM) Stokes flow model was used to provide more detailed insights on the flow transition from rock matrix to fracture. Results using different pressure gradients are used to describe the flow transition from the Berea rock matrix to proppant-filled fracture.

Parallel Newton-Krylov-Schwarz algorithms for the transonic full potential equation

NASA Technical Reports Server (NTRS)

Cai, Xiao-Chuan; Gropp, William D.; Keyes, David E.; Melvin, Robin G.; Young, David P.

1996-01-01

We study parallel two-level overlapping Schwarz algorithms for solving nonlinear finite element problems, in particular, for the full potential equation of aerodynamics discretized in two dimensions with bilinear elements. The overall algorithm, Newton-Krylov-Schwarz (NKS), employs an inexact finite-difference Newton method and a Krylov space iterative method, with a two-level overlapping Schwarz method as a preconditioner. We demonstrate that NKS, combined with a density upwinding continuation strategy for problems with weak shocks, is robust and, economical for this class of mixed elliptic-hyperbolic nonlinear partial differential equations, with proper specification of several parameters. We study upwinding parameters, inner convergence tolerance, coarse grid density, subdomain overlap, and the level of fill-in in the incomplete factorization, and report their effect on numerical convergence rate, overall execution time, and parallel efficiency on a distributed-memory parallel computer.

The Normalized-Rate Iterative Algorithm: A Practical Dynamic Spectrum Management Method for DSL

NASA Astrophysics Data System (ADS)

Statovci, Driton; Nordström, Tomas; Nilsson, Rickard

2006-12-01

We present a practical solution for dynamic spectrum management (DSM) in digital subscriber line systems: the normalized-rate iterative algorithm (NRIA). Supported by a novel optimization problem formulation, the NRIA is the only DSM algorithm that jointly addresses spectrum balancing for frequency division duplexing systems and power allocation for the users sharing a common cable bundle. With a focus on being implementable rather than obtaining the highest possible theoretical performance, the NRIA is designed to efficiently solve the DSM optimization problem with the operators' business models in mind. This is achieved with the help of two types of parameters: the desired network asymmetry and the desired user priorities. The NRIA is a centralized DSM algorithm based on the iterative water-filling algorithm (IWFA) for finding efficient power allocations, but extends the IWFA by finding the achievable bitrates and by optimizing the bandplan. It is compared with three other DSM proposals: the IWFA, the optimal spectrum balancing algorithm (OSBA), and the bidirectional IWFA (bi-IWFA). We show that the NRIA achieves better bitrate performance than the IWFA and the bi-IWFA. It can even achieve performance almost as good as the OSBA, but with dramatically lower requirements on complexity. Additionally, the NRIA can achieve bitrate combinations that cannot be supported by any other DSM algorithm.

An Asymptotically-Optimal Sampling-Based Algorithm for Bi-directional Motion Planning

PubMed Central

Starek, Joseph A.; Gomez, Javier V.; Schmerling, Edward; Janson, Lucas; Moreno, Luis; Pavone, Marco

2015-01-01

Bi-directional search is a widely used strategy to increase the success and convergence rates of sampling-based motion planning algorithms. Yet, few results are available that merge both bi-directional search and asymptotic optimality into existing optimal planners, such as PRM*, RRT*, and FMT*. The objective of this paper is to fill this gap. Specifically, this paper presents a bi-directional, sampling-based, asymptotically-optimal algorithm named Bi-directional FMT* (BFMT*) that extends the Fast Marching Tree (FMT*) algorithm to bidirectional search while preserving its key properties, chiefly lazy search and asymptotic optimality through convergence in probability. BFMT* performs a two-source, lazy dynamic programming recursion over a set of randomly-drawn samples, correspondingly generating two search trees: one in cost-to-come space from the initial configuration and another in cost-to-go space from the goal configuration. Numerical experiments illustrate the advantages of BFMT* over its unidirectional counterpart, as well as a number of other state-of-the-art planners. PMID:27004130

Sparse array angle estimation using reduced-dimension ESPRIT-MUSIC in MIMO radar.

PubMed

Zhang, Chaozhu; Pang, Yucai

2013-01-01

Sparse linear arrays provide better performance than the filled linear arrays in terms of angle estimation and resolution with reduced size and low cost. However, they are subject to manifold ambiguity. In this paper, both the transmit array and receive array are sparse linear arrays in the bistatic MIMO radar. Firstly, we present an ESPRIT-MUSIC method in which ESPRIT algorithm is used to obtain ambiguous angle estimates. The disambiguation algorithm uses MUSIC-based procedure to identify the true direction cosine estimate from a set of ambiguous candidate estimates. The paired transmit angle and receive angle can be estimated and the manifold ambiguity can be solved. However, the proposed algorithm has high computational complexity due to the requirement of two-dimension search. Further, the Reduced-Dimension ESPRIT-MUSIC (RD-ESPRIT-MUSIC) is proposed to reduce the complexity of the algorithm. And the RD-ESPRIT-MUSIC only demands one-dimension search. Simulation results demonstrate the effectiveness of the method.

A Coordinated Control Architecture for Disaster Response Robots

DTIC Science & Technology

2016-01-01

to use these same algorithms to provide navigation Odometry for the vehicle motions when the robot is driving. Visual Odometry The YouTube link... depressed the accelerator pedal. We relied on the fact that the vehicle quickly comes to rest when the accelerator pedal is not being pressed. The

The QOL-DASS Model to Estimate Overall Quality of Life and General Subjective Health.

PubMed

Mazaheri, Mehrdad

2011-01-01

In Order to find how rating the WHOQOL-BREF and DASS scales are combined to produce an overall measure of quality of life and satisfaction with health rating, a QOL-DASS model was designed; and the strength of this hypothesized model was examined using the structural equation modeling. Participants included a sample of 103 voluntary males who were divided into two groups of unhealthy (N=55) and healthy (N=48). To assess satisfaction and negative emotions of depression, anxiety and stress among the participants, they were asked to fill out the WHOQOL-BREF and The Depression Anxiety Stress Scale (DASS-42). Our findings on running the hypothesized model of QOL-DASS indicated that the proposed model of QOL-DASS fitted the data well for the both healthy and unhealthy groups. Our findings with CFA to evaluate the hypothesized model of QOL-DASS indicated that the different satisfaction domain ratings and the negative emotions of depression, anxiety and stress as the observed variables can represent the underlying constructs of general health and quality of life on both healthy and unhealthy groups.

Complex Geologic History of Triton

NASA Technical Reports Server (NTRS)

1989-01-01

Part of the complex geologic history of icy Triton, Neptune's largest satellite, is shown in this Voyager 2 photo, which has a resolution of 900 meters (2,700 feet) per picture element. The photo was received as part of a Triton-mapping sequence between 3:30 and 5:30 a.m. (PDT). This view is about 500 kilometers (300 miles) across. It encompasses two depressions, possibly old impact basins, that have been extensively modified by flooding, melting, faulting, and collapse. Several episodes of filling and partial removal of material appear to have occurred. The rough area in the middle of the bottom depression probably marks the most recent eruption of material. Only a few impact craters dot the area, which shows the dominance of internally driven geologic processes on Triton.

JPL manages the Voyager project for NASA's Office of Space Science.

Closed-loop multiple-scattering imaging with sparse seismic measurements

NASA Astrophysics Data System (ADS)

Berkhout, A. J. Guus

2018-03-01

In the theoretical situation of noise-free, complete data volumes (`perfect data'), seismic data matrices are fully filled and multiple-scattering operators have the minimum-phase property. Perfect data allow direct inversion methods to be successful in removing surface and internal multiple scattering. Moreover, under these perfect data conditions direct source wavefields realize complete illumination (no irrecoverable shadow zones) and, therefore, primary reflections (first-order response) can provide us with the complete seismic image. However, in practice seismic measurements always contain noise and we never have complete data volumes at our disposal. We actually deal with sparse data matrices that cannot be directly inverted. The message of this paper is that in practice multiple scattering (including source ghosting) must not be removed but must be utilized. It is explained that in the real world we badly need multiple scattering to fill the illumination gaps in the subsurface. It is also explained that the proposed multiple-scattering imaging algorithm gives us the opportunity to decompose both the image and the wavefields into order-based constituents, making the multiple scattering extension easy to apply. Last but not least, the algorithm allows us to use the minimum-phase property to validate and improve images in an objective way.

Depth map occlusion filling and scene reconstruction using modified exemplar-based inpainting

NASA Astrophysics Data System (ADS)

Voronin, V. V.; Marchuk, V. I.; Fisunov, A. V.; Tokareva, S. V.; Egiazarian, K. O.

2015-03-01

RGB-D sensors are relatively inexpensive and are commercially available off-the-shelf. However, owing to their low complexity, there are several artifacts that one encounters in the depth map like holes, mis-alignment between the depth and color image and lack of sharp object boundaries in the depth map. Depth map generated by Kinect cameras also contain a significant amount of missing pixels and strong noise, limiting their usability in many computer vision applications. In this paper, we present an efficient hole filling and damaged region restoration method that improves the quality of the depth maps obtained with the Microsoft Kinect device. The proposed approach is based on a modified exemplar-based inpainting and LPA-ICI filtering by exploiting the correlation between color and depth values in local image neighborhoods. As a result, edges of the objects are sharpened and aligned with the objects in the color image. Several examples considered in this paper show the effectiveness of the proposed approach for large holes removal as well as recovery of small regions on several test images of depth maps. We perform a comparative study and show that statistically, the proposed algorithm delivers superior quality results compared to existing algorithms.

[Exploring the clinical characters of Shugan Jieyu capsule through text mining].

PubMed

Pu, Zheng-Ping; Xia, Jiang-Ming; Xie, Wei; He, Jin-Cai

2017-09-01

The study was main to explore the clinical characters of Shugan Jieyu capsule through text mining. The data sets of Shugan Jieyu capsule were downloaded from CMCC database by the method of literature retrieved from May 2009 to Jan 2016. Rules of Chinese medical patterns, diseases, symptoms and combination treatment were mined out by data slicing algorithm, and they were demonstrated in frequency tables and two dimension based network. Then totally 190 literature were recruited. The outcomess suggested that SC was most frequently correlated with liver Qi stagnation. Primary depression, depression due to brain disease, concomitant depression followed by physical diseases, concomitant depression followed by schizophrenia and functional dyspepsia were main diseases treated by Shugan Jieyu capsule. Symptoms like low mood, psychic anxiety, somatic anxiety and dysfunction of automatic nerve were mainy relieved bv Shugan Jieyu capsule.For combination treatment. Shugan Jieyu capsule was most commonly used with paroxetine, sertraline and fluoxetine. The research suggested that syndrome types and mining results of Shugan Jieyu capsule were almost the same as its instructions. Syndrome of malnutrition of heart spirit was the potential Chinese medical pattern of Shugan Jieyu capsule. Primary comorbid anxiety and depression, concomitant comorbid anxiety and depression followed by physical diseases, and postpartum depression were potential diseases treated by Shugan Jieyu capsule.For combination treatment, Shugan Jieyu capsule was most commonly used with paroxetine, sertraline and fluoxetine. Copyright© by the Chinese Pharmaceutical Association.

[Collaborative and stepped care for depression: Development of a model project within the Hamburg Network for Mental Health (psychenet.de)].

PubMed

Härter, Martin; Heddaeus, Daniela; Steinmann, Maya; Schreiber, Robert; Brettschneider, Christian; König, Hans-Helmut; Watzke, Birgit

2015-04-01

Depression is one of the most widespread mental disorders in Germany and causes a great suffering and involves high costs. Guidelines recommend stepped and interdisciplinary collaborative care models for the treatment of depression. Stepped and collaborative care models are described regarding their efficacy and cost-effectiveness. A current model project within the Hamburg Network for Mental Health exemplifies how guideline-based stepped diagnostics and treatment incorporating innovative low-intensity interventions are implemented by a large network of health care professionals and clinics. An accompanying evaluation using a cluster randomized controlled design assesses depressive symptom reduction and cost-effectiveness for patients treated within "Health Network Depression" ("Gesundheitsnetz Depression", a subproject of psychenet.de) compared with patients treated in routine care. Over 90 partners from inpatient and outpatient treatment have been successfully involved in recruiting over 600 patients within the stepped care model. Communication in the network was greatly facilitated by the use of an innovative online tool for the supply and reservation of treatment capacities. The participating professionals profit from the improved infrastructure and the implementation of advanced training and quality circle work. New treatment models can greatly improve the treatment of depression owing to their explicit reference to guidelines, the establishment of algorithms for diagnostics and treatment, the integration of practices and clinics, in addition to the implementation of low-intensity treatment alternatives. These models could promote the development of a disease management program for depression.

A metal artifact reduction algorithm in CT using multiple prior images by recursive active contour segmentation

PubMed Central

Nam, Haewon

2017-01-01

We propose a novel metal artifact reduction (MAR) algorithm for CT images that completes a corrupted sinogram along the metal trace region. When metal implants are located inside a field of view, they create a barrier to the transmitted X-ray beam due to the high attenuation of metals, which significantly degrades the image quality. To fill in the metal trace region efficiently, the proposed algorithm uses multiple prior images with residual error compensation in sinogram space. Multiple prior images are generated by applying a recursive active contour (RAC) segmentation algorithm to the pre-corrected image acquired by MAR with linear interpolation, where the number of prior image is controlled by RAC depending on the object complexity. A sinogram basis is then acquired by forward projection of the prior images. The metal trace region of the original sinogram is replaced by the linearly combined sinogram of the prior images. Then, the additional correction in the metal trace region is performed to compensate the residual errors occurred by non-ideal data acquisition condition. The performance of the proposed MAR algorithm is compared with MAR with linear interpolation and the normalized MAR algorithm using simulated and experimental data. The results show that the proposed algorithm outperforms other MAR algorithms, especially when the object is complex with multiple bone objects. PMID:28604794

Detecting depression stigma on social media: A linguistic analysis.

PubMed

Li, Ang; Jiao, Dongdong; Zhu, Tingshao

2018-05-01

Efficient detection of depression stigma in mass media is important for designing effective stigma reduction strategies. Using linguistic analysis methods, this paper aims to build computational models for detecting stigma expressions in Chinese social media posts (Sina Weibo). A total of 15,879 Weibo posts with keywords were collected and analyzed. First, a content analysis was conducted on all 15,879 posts to determine whether each of them reflected depression stigma or not. Second, using four algorithms (Simple Logistic Regression, Multilayer Perceptron Neural Networks, Support Vector Machine, and Random Forest), two groups of classification models were built based on selected linguistic features; one for differentiating between posts with and without depression stigma, and one for differentiating among posts with three specific types of depression stigma. First, 967 of 15,879 posts (6.09%) indicated depression stigma. 39.30%, 15.82%, and 14.99% of them endorsed the stigmatizing view that "People with depression are unpredictable", "Depression is a sign of personal weakness", and "Depression is not a real medical illness", respectively. Second, the highest F-Measure value for differentiating between stigma and non-stigma reached 75.2%. The highest F-Measure value for differentiating among three specific types of stigma reached 86.2%. Due to the limited and imbalanced dataset of Chinese Weibo posts, the findings of this study might have limited generalizability. This paper confirms that incorporating linguistic analysis methods into online detection of stigma can be beneficial to improve the performance of stigma reduction programs. Copyright © 2018 Elsevier B.V. All rights reserved.

The measurement of cognitive reactivity to sad mood in patients remitted from major depressive disorder.

PubMed

Figueroa, Caroline A; Mocking, Roel J T; Mahmoud, Gelera A; Koeter, Maarten W; Bockting, Claudi L; van der Does, Willem; Ruhe, Henricus G; Schene, Aart H

2018-02-27

Cognitive reactivity (CR) to sad mood is a risk factor for major depressive disorder (MDD). CR is usually measured by assessing change on the Dysfunctional Attitudes Scale (DAS-change) after sad mood-induction. It has, however, been suggested that the versions of the DAS (A/B) are not interchangeable, impacting the reliability and validity of the change score. The Leiden Index of Depression Sensitivity-Revised (LEIDS-R) is an alternative self-report measure of CR. Studies examining the relationship between LEIDS-R and DAS-change have shown mixed results. We examined whether scores of these CR measures differed between remitted MDD and controls, the relationship between these CR measures, and the effect of order of DAS administration on DAS-change. Cross-sectional design with two groups (remitted MDD and controls). Sixty-eight MDD patients remitted from ≥2 previous episodes, not taking antidepressants, and 43 never-depressed controls participated in a mood-induction and filled in the DAS-A/B in randomized order before and after mood-induction, and LEIDS-R separately. LEIDS-R scores and pre-mood-induction DAS scores were significantly higher in remitted MDD than controls (p < .001, Cohen's d = 1.48; p = .001, Cohen's d = 0.66, respectively). DAS-change did not differ between these groups (p = .67, Cohen's d = 0.08). LEIDS-R correlated with DAS-change (r = .30, p = .042), but only in the group that filled in DAS-B before DAS-A. In remitted MDD, DAS-change was dependent on the order of DAS versions before and after mood-induction (10.6 ± 19.0 vs. -1.2 ± 10.5, for order B-A and A-B, respectively), with a significant group × order interaction (p = .012). Existing DAS versions are not interchangeable, which compromises the usefulness of mood-inductions in clinical practice. The LEIDS-R seems a valid measure of cognitive vulnerability to depression. Clinical implications: Cognitive reactivity (CR) is a risk factor of depressive recurrence. The current measurement of CR, by assessing change on the Dysfunctional Attitudes Scale (DAS) after mood-induction, is not reliable. The Leiden Index Depression Sensitivity-Revised (LEIDS-R) is an alternative CR measure. In contrast to mood-induction, it reliably assesses depression vulnerability. The use of mood-inductions for clinical/research purposes is unnecessary. We were not able to examine the effect of previous treatment, which could have affected results as psychological treatments probably have differential effects on CR. Examining un-medicated patients may have led to selection of a sample not completely representative for the general MDD population. We did not administer both parallel versions of the DAS (A/B) before and after mood-induction. This might have provided better understanding of their differential sensitivity to change. © 2018 The Authors. British Journal of Clinical Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society.

Sprint interval training (SIT) substantially reduces depressive symptoms in major depressive disorder (MDD): A randomized controlled trial.

PubMed

Minghetti, Alice; Faude, Oliver; Hanssen, Henner; Zahner, Lukas; Gerber, Markus; Donath, Lars

2018-07-01

Continuous aerobic exercise training (CAT) is considered a complementary treatment option in patients with major depressive disorder (MDD). Intermittent exercise training protocols, such as sprint interval training (SIT) have gained increasing popularity, but no studies on depressive symptoms following SIT in patients with MDD are available. Fifty-nine in-patients with MDD were randomly assigned to a SIT or CAT group. Medication was counterbalanced in both intervention arms. Both intervention groups received 3 weekly training sessions for 4-weeks (12 sessions in total). SIT comprised 25 bouts of 30 seconds at 80% of maximal power, whereas CAT consisted of 20 minutes of physical activity at 60% of maximal power. The training protocols were isocalorically designed. Maximal bicycle ergometer exercise testing yielded maximal and submaximal physical fitness parameters. The Beck-Depression-Inventory-II (BDI-II) was filled out by the patients before and after the intervention period. BDI-II scores substantially decreased in both groups with an effect size pointing towards a large effect (p < 0.001, η p ² = 0.70) while submaximal (0.07 < d < 0.89) and maximal (0.05 < d < 0.85) fitness variables improved in both groups. Short-term SIT leads to similar results as CAT in patients with MDD and can be regarded as a time-efficient and promising exercise-based treatment strategy. Copyright © 2018 Elsevier B.V. All rights reserved.

Quality of life and coping strategies of outpatients with a depressive disorder in maintenance therapy - a cross-sectional study.

PubMed

Holubova, Michaela; Prasko, Jan; Ociskova, Marie; Grambal, Ales; Slepecky, Milos; Marackova, Marketa; Kamaradova, Dana; Zatkova, Marta

2018-01-01

The quality of life (QoL) is a multidimensional view that represents all aspects of patient well-being in various areas of patient life. Specific coping strategies may be connected to both the QoL and the severity of mental disorder. The aim of this investigation was to examine the relationship between the QoL and the coping strategies of outpatients with a depressive disorder. Eighty-two outpatients, who met the criteria of the International Classification of Diseases, Tenth Revision, for a depressive disorder, were enrolled in the cross-sectional study. Data on sociodemographic and clinical variables were obtained from the medical records. Individuals filled the following standardized questionnaires: Quality of Life Satisfaction and Enjoyment Questionnaire, Stress Coping Style Questionnaire, and Clinical Global Impression. Multiple regression analyses with backward elimination were performed to discover the most influential factors contributing to QoL. The participants with a depressive disorder showed an overuse of negative coping strategies, especially escape tendency and resignation. A positive self-instruction strategy was used by the patients less often. The coping strategies were significantly associated with the QoL. A more frequent use of positive coping strategies had a positive association with the QoL. The main factors related to QoL were the subjective severity of the disorder, employment, and positive coping strategies. The study confirmed the relationship between QoL and the coping strategies of outpatients with a depressive disorder.

Quality of life and coping strategies of outpatients with a depressive disorder in maintenance therapy – a cross-sectional study

PubMed Central

Holubova, Michaela; Prasko, Jan; Ociskova, Marie; Grambal, Ales; Slepecky, Milos; Marackova, Marketa; Kamaradova, Dana; Zatkova, Marta

2018-01-01

Background The quality of life (QoL) is a multidimensional view that represents all aspects of patient well-being in various areas of patient life. Specific coping strategies may be connected to both the QoL and the severity of mental disorder. The aim of this investigation was to examine the relationship between the QoL and the coping strategies of outpatients with a depressive disorder. Methods Eighty-two outpatients, who met the criteria of the International Classification of Diseases, Tenth Revision, for a depressive disorder, were enrolled in the cross-sectional study. Data on sociodemographic and clinical variables were obtained from the medical records. Individuals filled the following standardized questionnaires: Quality of Life Satisfaction and Enjoyment Questionnaire, Stress Coping Style Questionnaire, and Clinical Global Impression. Multiple regression analyses with backward elimination were performed to discover the most influential factors contributing to QoL. Results The participants with a depressive disorder showed an overuse of negative coping strategies, especially escape tendency and resignation. A positive self-instruction strategy was used by the patients less often. The coping strategies were significantly associated with the QoL. A more frequent use of positive coping strategies had a positive association with the QoL. The main factors related to QoL were the subjective severity of the disorder, employment, and positive coping strategies. Conclusion The study confirmed the relationship between QoL and the coping strategies of outpatients with a depressive disorder. PMID:29339924

The Haw River Sites: Archaeological Investigations at Two Stratified Sites in the North Carolina Piedmont. Volume II.

DTIC Science & Technology

1982-04-01

area of irregular shape. The area was filled with a mixture of tan alluvial sand and red clay. The irregular outline of the depression would suggest...suggests possible association of skinning racks. In the Navajo case (Binford and Bertram 1977) the use of the ax was greatly facilited by the suspension...llIlllllllllhll IIIIIIIIIIIIIIfllfllf mh•hE h E 1.5 MICROCOPY RESOLUTION TEST CHART NATIONAL BUREAU OF STANDA r I9. A IU ... . ... ... *II l .. .. .... . . I

Gas Filled RF Resonator Hadron Beam Monitor for Intense Neutrino Beam Experiments

DOE Office of Scientific and Technical Information (OSTI.GOV)

Yonehara, Katsuya; Abrams, Robert; Dinkel, Holly

MW-class beam facilities are being considered all over the world to produce an intense neutrino beam for fundamental particle physics experiments. A radiation-robust beam monitor system is required to diagnose the primary and secondary beam qualities in high-radiation environments. We have proposed a novel gas-filled RF-resonator hadron beam monitor in which charged particles passing through the resonator produce ionized plasma that changes the permittivity of the gas. The sensitivity of the monitor has been evaluated in numerical simulation. A signal manipulation algorithm has been designed. A prototype system will be constructed and tested by using a proton beam at themore » MuCool Test Area at Fermilab.« less

Structural peculiarities of the sedimentary cover of the MAR crest depressions (5°-8°N) in the Equatorial Atlantics

NASA Astrophysics Data System (ADS)

Skolotnev, S. G.; Tsukanov, N. V.; Turko, N. N.; Peyve, A. A.

2003-04-01

The analysis of the bottom relief structure investigated with multibeam SIMRAD 12S and sedimentary cover of depressions investigeted with PARASAUND in the MAR crest zone near Sierra-Leone Fault (22 Cruise of the RV "Akademik Nikolay Strachov", and 10 Cruise of the RV "Akademik Ioffe") point on the complicated character of the tectonic activity distribution in this region. The left-lateral displacements of the rift velley and the absence of transform faults are typical for this region. Two extremely deep rift depressions (up to 5000 m) are located in the rift valley: one on 5°54'N latitude (Markov depression) and the other on 5°46'N latitude. About 40 m sediments cover their bottom. On contary, in the depression located parallel to the rift valley directly to the west from the two mentioned rift depressions the sedimentary cover is absent and bottom has very dissected, apparently volcanic, relief. In the MAR crest zone in 20 miles to the south-west from the Markov and 5°46'N depressions one can see a system of depressions oriented both parallel and oblique to the rift valley. There are filled by the sediments of different thickness. The sedimentary cover of these depressions often is tired and deformed by diapir and horst uplifts. Dredging data show, that basalts, which represent, according to their petro-geo-chemical characteristics the enriched MORB basalts and alkaline basalts compose these uplifts. Irregular distribution and character of composition of the sediments in the depressions of crest zone of the MAR segment under consideration along with high volcanic activity outside the axial spreding zone show that tectonic and volcanic activity in this area are distributed all over the crest zone. The complicated character of this activity is obviosly caused by two reasons. From one hand it may be a deep mantle plum, as inferred from basalt composition and from the other hand it may be the lithosphere blocks displacements along the left-lateral strike slips.

Effect of Mindfulness-Based Stress Reduction on Anxiety, Depression and Stress in Women With Multiple Sclerosis

PubMed Central

Kolahkaj, Bentolhoda; Zargar, Fatemeh

2015-01-01

Background: Studies suggest that mindfulness-based interventions can improve anxiety, depression and stress in patients with multiple sclerosis (MS). However, no study investigated the effectiveness of this method in patients with a combination of problems such as depression, anxiety and stress simultaneously. However, comorbidities of depression and anxiety in MS are prevalent. Objectives: This study aimed to assess the effects of mindfulness-based stress reduction (MBRS) on anxiety, depression and stress in women with multiple sclerosis. Patients and Methods: This randomized controlled clinical trial was performed in 2013 in Ahvaz MS Society. Forty eight patients were selected by convenient sampling and randomly assigned in experimental and control groups. The patients in the two groups filled out depression, anxiety and stress scale (DASS-21) at initiation of study, 8 weeks later and 1 month after the end of intervention. The experimental group received 8 sessions of MBRS, while the control group treated as usual. Finally, data of 40 patients analyzed using t-test, chi square and repeated measures analysis of variance. Results: In the MBSR group, the mean depression, anxiety and stress were reduced significantly (P < 0.001). The mean depression score was 8.35 ± 1.78 before the intervention and reduced to 4.80 ± 0.83 and 4.45 ± 0.60 after the intervention and follow-up (P < 0.001). Also the mean anxiety score was 8.90 ± 1.97 before the intervention, which was significantly reduced to 4.70 ± 1.38 and 4.55 ± 0.99 after the intervention and follow-up (P < 0.001). The mean stress score was also 8.80 ± 2.35 before treatment and 4.80 ± 1.67 and 4.70 ± 1.34 after the intervention and follow-up (P < 0.001). Conclusions: This study showed that MBSR training can reduce mean depression, anxiety and stress scores in patients with MS. These findings suggest that MBSR is useful for psychological problems such as depression, anxiety and stress in patients with MS. PMID:26835467

Hydrological connectivity in the karst critical zone: an integrated approach

NASA Astrophysics Data System (ADS)

Chen, X.; Zhang, Z.; Soulsby, C.; Cheng, Q.; Binley, A. M.; Tao, M.

2017-12-01

Spatial heterogeneity in the subsurface is high, evidenced by specific landform features (sinkholes, caves etc.) and resulting in high variability of hydrological processes in space and time. This includes complex exchange of various flow sources (e.g. hillslope springs and depression aquifers) and fast conduit flow and slow fracture flow. In this paper we integrate various "state-of-the-art" methods to understand the structure and function of this understudied critical zone environment. Geophysical, hydrometric and hydrogeochemical tools are used to characterize the hydrological connectivity of the cockpit karst critical zone in a small catchment of Chenqi, Guizhou province, China. Geophysical surveys, using electrical resistivity tomography (ERT), identified the complex conduit networks that link flows between hillslopes and depressions. Statistical time series analysis of water tables and discharge responses at hillslope springs and in depression wells and underground channels showed different threshold responses of hillslope and depression flows. This reflected the differing relative contribution of fast and slow flow paths during rainfall events of varying magnitude in the hillslope epikarst and depression aquifer in dry and wet periods. This showed that the hillslope epikarst receives a high proportion of rainfall recharge and is thus a main water resource in the catchment during the drought period. In contrast, the depression aquifer receives fast, concentrated hillslope flows during large rainfall events during the wet period, resulting in the filling of depression conduits and frequent flooding. Hydrological tracer studies using water temperatures and stable water isotopes (δD and δ18O) corroborated this and provided quantitative information of the mixing proportions of various flow sources and insights into water travel times. This revealed how higher contributions of event "new" water (from hillslope springs and depression conduits displaces "old" pre-event water primarily from low permeability fissures and fractures), particularly during heavy rainfall. As the various water sources have contrasting water quality characteristics, these mixing and exchange processes have important implications for understanding and managing water quality in karst waters.

Improving compliance in depression: a systematic review of narrative reviews.

PubMed

Bollini, P; Pampallona, S; Kupelnick, B; Tibaldi, G; Munizza, C

2006-06-01

Narrative reviews represent a popular source of information for clinicians, especially where the evidence on a given subject is sparse and analogies from other fields of medicine may help in filling the information gap. Unfortunately, narrative reviews often follow less stringent criteria for information selection and appraisal than systematic reviews, potentially leading to incomplete or biased recommendations. The objective of the present study was to examine the quality of the recommendations provided by narrative reviews on how to improve patient adherence to pharmacological treatment of unipolar depressive disorders. We sought to locate all narrative review papers addressing adherence to treatment in unipolar depressive disorders. In order to do so, we searched Medline and PsychInfo from 1980 to December 2003, using the following keywords: review, depressive disorders, treatment, dropout, patient compliance and adherence. We inspected the title and the abstract, whenever available to identify the relevant reviews and obtained a full copy of the publications in this subset, and read the articles to identify further relevant reviews. These were in turn copied and reviewed, until no further references were found. We identified 23 reviews, providing a total of 87 recommendations. The most common recommendation was for patient education (19 times), patient-physician empathy/alliance (14 times), and education of family (nine times). Reviewers' recommendations were based on the literature on depression 54 times, and on other medical conditions 17 times. A critical appraisal of the evidence base of the recommendations showed that randomized controlled trials or meta-analyses were quoted to support the recommendations only 23% of the times, while important interventions of proven efficacy in the field of depression or in other chronic conditions (e.g. medication clinics, training of nurses, psychological treatment, and telephone follow-up) were not mentioned. Narrative reviews on adherence to pharmacological treatment of depressive disorders suffer not only from the limited availability of good quality evidence, but also from an incomplete critical appraisal of available evidence on interventions both for depression and for other chronic disorders.

The Effect of Sleep Health Behavioral Education on the Depression of Pregnant Women With Sleep Disorders: A Randomized Control Trial

PubMed Central

Rezaei, Elham; Behboodi Moghadam, Zahra; Hagani, Hamid

2015-01-01

Background: About 79% of the pregnant women experience sleep disorders and 70% of pregnant women experience some symptoms of the depression. Physiologic, hormonal, and physical changes of pregnancy can predispose mothers to depression these disorders before, during, and after childbirth and might be aggravated by neglecting health behavior. Health behavior education might be useful for the management of depression in pregnant women. Objectives: This study aimed to evaluate the effect of sleep health behavioral education on the improvement of depression in pregnant women with sleep disorders. Patients and Methods: This study was a randomized clinical trial, performed on 96 pregnant women with sleep disorder diagnosed according to the Pittsburgh Sleep Quality Index. Tools for data collection included demographic questionnaire and Beck's Depression Inventory (BDI). Easy and accessible sampling was done. Participants were randomly (simple) allocated to intervention and control groups. In intervention group, sleep health behavior education was presented during a four-hour session held in weeks 22, 23, 24, and 25; then the patients were followed up to fill out the BDIQ in follow-up session at weeks 29 and 33 of pregnancy. The control group received no intervention and only received routine prenatal care. The results were assessed by Chi-square tests, independent-samples t-test, and Fischer’s exact-test by SPSS 16. Results: A statistically significant change was reported in the severity of depression in pregnant women with sleep disorders in the intervention group in comparison to the control group at weeks 29 (P < 0.000) and 33 (P < 0.00). Conclusions: Sleep health behavioral education improves depression in pregnant women who are experiencing insomnia. Findings from this study add support to the reported effectiveness of sleep health behavioral education in the prenatal care and clinical management of insomnia in pregnancy. PMID:25763271

Evaluation of the level of depression among medical students from Poland, Portugal and Germany.

PubMed

Seweryn, Mariusz; Tyrała, Kinga; Kolarczyk-Haczyk, Aleksandra; Bonk, Magdalena; Bulska, Weronika; Krysta, Krzysztof

2015-09-01

Depression is a serious illness affecting health, family and professional life of many people of all sectors of society. It also concerns students, regardless of their geographical location. The Beck Depression Inventory (BDI) is a proper tool to brief check of the level of depression because it has high correlation with depression. The aim of this study was to assess and compare the level of depression among medical students from Poland, Portugal and Germany. Students from different countries were asked to fill in an electronic form containing the BDI. The form was created separately for each country, using official translation of the BDI, approved by the competent psychiatric association. Google Drive software was used for the electronic form, and Stat soft Statistica v10 software for statistical analysis. There were statistically significant differences (p<0.05) in terms of average score of the BDI and of the proportion of the scores more than 10 points of medical and technology students among kinds of studies and countries. The average score of the BDI of medical students: Poland: 13.76±9.99 points; Germany: 8.49±7.64 points; Portugal: 7.37±7.67 points. The average score of the BDI of technology students: Poland: 12.42±9.66 points; Germany: 10.51±8.49 points; Portugal: 9.25±8.97 points. The proportion of the scores more than 10 points of medical students: Poland 56.32% (285/506) Germany 34.92% (154/441) Portugal 26.03% (82/315). The proportion of the scores more than 10 points of technology students: Poland 55.01% (368/669) Germany 43.82% (156/356) Portugal 37.57% (136/362). The highest depression score among medical and technology students according the BDI was found in Poland. A proper monitoring of depression is required, as well as rapid and appropriate help for those who suffer from it.

Sink detection on tilted terrain for automated identification of glacial cirques

NASA Astrophysics Data System (ADS)

Prasicek, Günther; Robl, Jörg; Lang, Andreas

2016-04-01

Glacial cirques are morphologically distinct but complex landforms and represent a vital part of high mountain topography. Their distribution, elevation and relief are expected to hold information on (1) the extent of glacial occupation, (2) the mechanism of glacial cirque erosion, and (3) how glacial in concert with periglacial processes can limit peak altitude and mountain range height. While easily detectably for the expert's eye both in nature and on various representations of topography, their complicated nature makes them a nemesis for computer algorithms. Consequently, manual mapping of glacial cirques is commonplace in many mountain landscapes worldwide, but consistent datasets of cirque distribution and objectively mapped cirques and their morphometrical attributes are lacking. Among the biggest problems for algorithm development are the complexity in shape and the great variability of cirque size. For example, glacial cirques can be rather circular or longitudinal in extent, exist as individual and composite landforms, show prominent topographic depressions or can entirely be filled with water or sediment. For these reasons, attributes like circularity, size, drainage area and topology of landform elements (e.g. a flat floor surrounded by steep walls) have only a limited potential for automated cirque detection. Here we present a novel, geomorphometric method for automated identification of glacial cirques on digital elevation models that exploits their genetic bowl-like shape. First, we differentiate between glacial and fluvial terrain employing an algorithm based on a moving window approach and multi-scale curvature, which is also capable of fitting the analysis window to valley width. We then fit a plane to the valley stretch clipped by the analysis window and rotate the terrain around the center cell until the plane is level. Doing so, we produce sinks of considerable size if the clipped terrain represents a cirque, while no or only very small sinks develop on other valley stretches. We normalize sink area by window size for sink classification, apply this method to the Sawtooth Mountains, Idaho, and to Fiordland, New Zealand, and compare the results to manually mapped reference cirques. Results indicate that false negatives are produced only in very rugged terrain and false positives occur in rare cases, when valleys are strongly curved in longitudinal direction.

The Role of Ring Current on Slot Region Penetration

NASA Technical Reports Server (NTRS)

Fok, Mei-Ching; Elkington, Scot

2006-01-01

During magnetic quiet times, the inner belt, slot region and the outer belt are well defined regions. However, during some major storms, outer belt particles penetrate inward and significantly fill the slot region. In some extreme events, the outer belt particles travel through the slot and create a new belt in the inner region that persists from months to years. In this paper, we examine the role of the ring current on this radiation belt penetration into the slot region. The storm-time intensification of the ring current produces strong magnetic depression in the inner magnetosphere. This perturbation and its fluctuation enhance the radial transport and diffusion of the outer radiation belt particles. We perform kinetic and test-particle calculations to quantitatively assess the effects of the ring current field on filling of the slot region. Simulation results during major storms will be presented and discussed.

Automatic external filling for the ion source gas bottle of a Van de Graaff accelerator

NASA Astrophysics Data System (ADS)

Strivay, D.; Bastin, T.; Dehove, C.; Dumont, P. D.; Marchal, A.; Garnir, H.; Weber, G.

1997-09-01

We describe a fully automatic system we developed to fill, from an external gas bottle, the ion source terminal gas storage bottle of a 2 MV Van de Graaff accelerator without depressing the 25 bar insulating gas. The system is based on a programmable automate ordering electropneumatical valves. The only manual operation is the connection of the external gas cylinder. The time needed for a gas change is reduced to typically 15 min (depending on the residual pressure wished for the gas removed from the terminal bottle). To check this system we study the ionic composition of the ion beam delivered by our accelerator after different gas changes. The switching magnet of our accelerator was used to analyse the ionic composition of the accelerated beams in order to verify the degree of elimination of the previous gases in the system.

Prevalence and factors associated with depression symptoms among school-going adolescents in Central Uganda.

PubMed

Nalugya-Sserunjogi, Joyce; Rukundo, Godfrey Zari; Ovuga, Emilio; Kiwuwa, Steven M; Musisi, Seggane; Nakimuli-Mpungu, Etheldreda

2016-01-01

Depression in adolescents constitutes a global public health concern. However, data on its prevalence and associated factors are limited in low income countries like Uganda. Using a cross-sectional descriptive study design, 519 adolescent students in 4 secondary schools in Mukono district, Uganda, were randomly selected after meeting study criteria. The 4 school types were: boarding mixed (boys and girls) school; day mixed school; girls' only boarding school; and, boys' only boarding school. The 519 participants filled out standardized questionnaires regarding their socio-demographic characteristics and health history. They were then screened for depression using the Children Depression Inventory (CDI) and those with a cut-off of 19 were administered the Mini International Neuro-Psychiatric Interview for Children and Adolescents 2.0 (MINI-KID), to ascertain the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM IV) diagnostic types of depression and any co morbidity. Logistic regression analyses were used to assess factors associated with significant depression symptoms (a score of 19 or more on the CDI). There were 301 (58 %) boys and 218 (42 %) girls with age range 14-16 years and a mean age of 16 years (SD 2.18). Of 519 participants screened with the CDI, 109 (21 %) had significant depression symptoms. Of the 109 participants with significant depression symptoms, only 74 were evaluated with the MINI-KID and of these, 8 (11 %) met criteria for major depression and 6 (8 %) met criteria for dysthymia. Therefore, among participants that were assessed with both the CDI and the MINI-KID (n = 484), the prevalence of depressive disorders was 2.9 %. In this sample, 15 (3.1 %) reported current suicidal ideation. In the logistic regression analyses, significant depression symptoms were associated with single-sex schools, loss of parents and alcohol consumption. This is a cross-sectional study therefore, causal relationships are difficult to establish. Limited resources and the lack of collateral information precluded the assessment of a number of potential factors that could be associated with adolescent depression. The MINI-KID was administered to only 74 out of 109 students who scored ≥19 on the CDI since 35 students could not be traced again due to limited resources at the time. Significant depression symptoms are prevalent among school-going adolescents and may progress to full-blown depressive disorders. Culturally sensitive psychological interventions to prevent and treat depression among school-going adolescents are urgently needed.

Investigating Hydrogeologic Controls on Sandhill Wetlands in Covered Karst with 2D Resistivity and Ground Penetrating Radar

NASA Astrophysics Data System (ADS)

Downs, C. M.; Nowicki, R. S.; Rains, M. C.; Kruse, S.

2015-12-01

In west-central Florida, wetland and lake distribution is strongly controlled by karst landforms. Sandhill wetlands and lakes are sand-filled upland basins whose water levels are groundwater driven. Lake dimensions only reach wetland edges during extreme precipitation events. Current wetland classification schemes are inappropriate for identifying sandhill wetlands due to their unique hydrologic regime and ecologic expression. As a result, it is difficult to determine whether or not a wetland is impacted by groundwater pumping, development, and climate change. A better understanding of subsurface structures and how they control the hydrologic regime is necessary for development of an identification and monitoring protocol. Long-term studies record vegetation diversity and distribution, shallow ground water levels and surface water levels. The overall goals are to determine the hydrologic controls (groundwater, seepage, surface water inputs). Most recently a series of geophysical surveys was conducted at select sites in Hernando and Pasco County, Florida. Electrical resistivity and ground penetrating radar were employed to image sand-filled basins and the top of the limestone bedrock and stratigraphy of wetland slopes, respectively. The deepest extent of these sand-filled basins is generally reflected in topography as shallow depressions. Resistivity along inundated wetlands suggests the pools are surface expressions of the surficial aquifer. However, possible breaches in confining clay layers beneath topographic highs between depressions are seen in resistivity profiles as conductive anomalies and in GPR as interruptions in otherwise continuous horizons. These data occur at sites where unconfined and confined water levels are in agreement, suggesting communication between shallow and deep groundwater. Wetland plants are observed outside the historic wetland boundary at many sites, GPR profiles show near-surface layers dipping towards the wetlands at a shallower angle than the slope. Wetlands plants are often found where these layers are truncated by the slope suggesting seepage of unconfined aquifer and a new wetland boundary.

Relief of Expressed Suicidal Intent by ECT: A Consortium for Research in ECT Study

PubMed Central

Kellner, Charles H.; Fink, Max; Knapp, Rebecca; Petrides, Georgios; Husain, Mustafa; Rummans, Teresa; Mueller, Martina; Bernstein, Hilary; Rasmussen, Keith; O'Connor, Kevin; Smith, Glenn; Rush, A. John; Biggs, Melanie; McClintock, Shawn; Bailine, Samuel; Malur, Chitra

2013-01-01

Objective This study assessed the incidence, severity, and course of expressed suicidal intent in depressed patients who were treated with ECT. The data are from the first phase of an ongoing, collaborative multicenter study, the overall aim of which was to compare continuation ECT with pharmacotherapy in the prevention of relapse after a successful course of ECT. Method Suicidal intent, as expressed by patients during an interview, was scored at baseline and before each ECT session with item 3 on the 24-item Hamilton Depression Rating Scale in 444 patients with unipolar depression. Results One hundred thirty-one patients (29.5%) reported suicidal thoughts and acts (score of 3 or 4) at baseline. Scores decreased to 0 after 1 week (three ECT sessions) in 38.2% of the patients, after 2 weeks (six ECT sessions) in 61.1%, and in 80.9% at the end of the course of treatment. Conclusions Expressed suicidal intent in depressed patients was rapidly relieved with ECT. Evidence-based treatment algorithms for major depressive mood disorders should include dichotomization according to suicide risk, as assessed by interview. For patients at risk, ECT should be considered earlier than at its conventional “last resort” position. PMID:15863801

Gender differences in patients with dizziness and unsteadiness regarding self-perceived disability, anxiety, depression, and its associations

PubMed Central

2012-01-01

Background It is known that anxiety and depression influence the level of disability experienced by persons with vertigo, dizziness or unsteadiness. Because higher prevalence rates of disabling dizziness have been found in women and some studies reported a higher level of psychiatric distress in female patients our primary aim was to explore whether women and men with vertigo, dizziness or unsteadiness differ regarding self-perceived disability, anxiety and depression. Secondly we planned to investigate the associations between disabling dizziness and anxiety and depression. Method Patients were recruited from a tertiary centre for vertigo and balance disorders. Participants rated their global disability as mild, moderate or severe. They filled out the Dizziness Handicap Inventory and the two subscales of the Hospital Anxiety Depression Scale (HADS). The HADS was analysed 1) by calculating the median values, 2) by estimating the prevalence rates of abnormal anxiety/depression based on recommended cut-off criteria. Mann-Whitney U-tests, Chi-square statistics and odds ratios (OR) were calculated to compare the observations in both genders. Significance values were adjusted with respect to multiple comparisons. Results Two-hundred and two patients (124 women) mean age (standard deviation) of 49.7 (13.5) years participated. Both genders did not differ significantly in the mean level of self-perceived disability, anxiety, depression and symptom severity. There was a tendency of a higher prevalence of abnormal anxiety and depression in men (23.7%; 28.9%) compared to women (14.5%; 15.3%). Patients with abnormal depression felt themselves 2.75 (95% CI: 1.31-5.78) times more severely disabled by dizziness and unsteadiness than patients without depression. In men the OR was 8.2 (2.35-28.4). In women chi-square statistic was not significant. The ORs (95% CI) of abnormal anxiety and severe disability were 4.2 (1.9-8.9) in the whole sample, 8.7 (2.5-30.3) in men, and not significant in women. Conclusions In men with vertigo, dizziness or unsteadiness emotional distress and its association with self-perceived disability should not be underestimated. Longitudinal surveys with specific pre-defined co-variables of self-perceived disability, anxiety and depression are needed to clarify the influence of gender on disability, anxiety and depression in patients with vertigo, dizziness or unsteadiness. PMID:22436559

Unsymmetric ordering using a constrained Markowitz scheme

DOE Office of Scientific and Technical Information (OSTI.GOV)

Amestoy, Patrick R.; Xiaoye S.; Pralet, Stephane

2005-01-18

We present a family of ordering algorithms that can be used as a preprocessing step prior to performing sparse LU factorization. The ordering algorithms simultaneously achieve the objectives of selecting numerically good pivots and preserving the sparsity. We describe the algorithmic properties and challenges in their implementation. By mixing the two objectives we show that we can reduce the amount of fill-in in the factors and reduce the number of numerical problems during factorization. On a set of large unsymmetric real problems, we obtained the median reductions of 12% in the factorization time, of 13% in the size of themore » LU factors, of 20% in the number of operations performed during the factorization phase, and of 11% in the memory needed by the multifrontal solver MA41-UNS. A byproduct of this ordering strategy is an incomplete LU-factored matrix that can be used as a preconditioner in an iterative solver.« less

Automatic mesh refinement and parallel load balancing for Fokker-Planck-DSMC algorithm

NASA Astrophysics Data System (ADS)

Küchlin, Stephan; Jenny, Patrick

2018-06-01

Recently, a parallel Fokker-Planck-DSMC algorithm for rarefied gas flow simulation in complex domains at all Knudsen numbers was developed by the authors. Fokker-Planck-DSMC (FP-DSMC) is an augmentation of the classical DSMC algorithm, which mitigates the near-continuum deficiencies in terms of computational cost of pure DSMC. At each time step, based on a local Knudsen number criterion, the discrete DSMC collision operator is dynamically switched to the Fokker-Planck operator, which is based on the integration of continuous stochastic processes in time, and has fixed computational cost per particle, rather than per collision. In this contribution, we present an extension of the previous implementation with automatic local mesh refinement and parallel load-balancing. In particular, we show how the properties of discrete approximations to space-filling curves enable an efficient implementation. Exemplary numerical studies highlight the capabilities of the new code.

Distance-based over-segmentation for single-frame RGB-D images

NASA Astrophysics Data System (ADS)

Fang, Zhuoqun; Wu, Chengdong; Chen, Dongyue; Jia, Tong; Yu, Xiaosheng; Zhang, Shihong; Qi, Erzhao

2017-11-01

Over-segmentation, known as super-pixels, is a widely used preprocessing step in segmentation algorithms. Oversegmentation algorithm segments an image into regions of perceptually similar pixels, but performs badly based on only color image in the indoor environments. Fortunately, RGB-D images can improve the performances on the images of indoor scene. In order to segment RGB-D images into super-pixels effectively, we propose a novel algorithm, DBOS (Distance-Based Over-Segmentation), which realizes full coverage of super-pixels on the image. DBOS fills the holes in depth images to fully utilize the depth information, and applies SLIC-like frameworks for fast running. Additionally, depth features such as plane projection distance are extracted to compute distance which is the core of SLIC-like frameworks. Experiments on RGB-D images of NYU Depth V2 dataset demonstrate that DBOS outperforms state-ofthe-art methods in quality while maintaining speeds comparable to them.

Mapping ionospheric observations using combined techniques for Europe region

NASA Astrophysics Data System (ADS)

Tomasik, Lukasz; Gulyaeva, Tamara; Stanislawska, Iwona; Swiatek, Anna; Pozoga, Mariusz; Dziak-Jankowska, Beata

An k nearest neighbours algorithm (KNN) was used for filling the gaps of the missing F2-layer critical frequency is proposed and applied. This method uses TEC data calculated from EGNOS Vertical Delay Estimate (VDE ≈0.78 TECU) and several GNSS stations and its spatial correlation whit data from selected ionosondes. For mapping purposes two-dimensional similarity function in KNN method was proposed.

Efficiency enhancement of optimized Latin hypercube sampling strategies: Application to Monte Carlo uncertainty analysis and meta-modeling

NASA Astrophysics Data System (ADS)

Rajabi, Mohammad Mahdi; Ataie-Ashtiani, Behzad; Janssen, Hans

2015-02-01

The majority of literature regarding optimized Latin hypercube sampling (OLHS) is devoted to increasing the efficiency of these sampling strategies through the development of new algorithms based on the combination of innovative space-filling criteria and specialized optimization schemes. However, little attention has been given to the impact of the initial design that is fed into the optimization algorithm, on the efficiency of OLHS strategies. Previous studies, as well as codes developed for OLHS, have relied on one of the following two approaches for the selection of the initial design in OLHS: (1) the use of random points in the hypercube intervals (random LHS), and (2) the use of midpoints in the hypercube intervals (midpoint LHS). Both approaches have been extensively used, but no attempt has been previously made to compare the efficiency and robustness of their resulting sample designs. In this study we compare the two approaches and show that the space-filling characteristics of OLHS designs are sensitive to the initial design that is fed into the optimization algorithm. It is also illustrated that the space-filling characteristics of OLHS designs based on midpoint LHS are significantly better those based on random LHS. The two approaches are compared by incorporating their resulting sample designs in Monte Carlo simulation (MCS) for uncertainty propagation analysis, and then, by employing the sample designs in the selection of the training set for constructing non-intrusive polynomial chaos expansion (NIPCE) meta-models which subsequently replace the original full model in MCSs. The analysis is based on two case studies involving numerical simulation of density dependent flow and solute transport in porous media within the context of seawater intrusion in coastal aquifers. We show that the use of midpoint LHS as the initial design increases the efficiency and robustness of the resulting MCSs and NIPCE meta-models. The study also illustrates that this relative improvement decreases with increasing number of sample points and input parameter dimensions. Since the computational time and efforts for generating the sample designs in the two approaches are identical, the use of midpoint LHS as the initial design in OLHS is thus recommended.

Opioid/NMDA receptors blockade reverses the depressant-like behavior of foot shock stress in the mouse forced swimming test.

PubMed

Haj-Mirzaian, Arya; Ostadhadi, Sattar; Kordjazy, Nastaran; Dehpour, Ahmad Reza; Ejtemaei Mehr, Shahram

2014-07-15

Opioid and glutamatergic receptors have a key role in depression following stress. In this study, we assessed opioid and glutamatergic receptors interaction with the depressant-like behavior of acute foot-shock stress in the mouse forced swimming test. Stress was induced by intermittent foot shock stimulation during 30min and swim periods were afterwards conducted by placing mice in separated glass cylinders filled with water for 6min. The immobility time during the last 4min of the test was considered. Acute foot-shock stress significantly increased the immobility time of mice compared to non-stressed control group (P≤0.01). Administration of non-selective opioid receptors antagonist, naltrexone (1 and 2mg/kg, i.p.), and the selective non-competitive NMDA receptor antagonist, MK-801 (0.05mg/kg, i.p.), and the selective serotonin reuptake inhibitor, fluoxetine (5mg/kg), significantly reduced the immobility time in stressed animals (P≤0.01). Lower doses of MK-801 (0.01mg/kg), naltrexone (0.3mg/kg), NMDA (75mg/kg) and morphine(5mg/kg) had no effect on foot-shock stressed mice. Combined treatment of sub-effective doses of naltrexone and MK-801 significantly showed an antidepressant-like effect (P≤0.001). On the other hand, co-administration of non-effective doses of NMDA and morphine with effective doses of naltrexone and MK-801 reversed the anti-immobility effect of these drugs. Taken together, we have for the first time demonstrated the possible role of opioid/NMDA receptors signaling in the depressant-like effect of foot-shock stress, and proposed the use of drugs that act like standard anti-depressants in stress-induced depression. Copyright © 2014. Published by Elsevier B.V.

Increasing the acceptance of internet-based mental health interventions in primary care patients with depressive symptoms. A randomized controlled trial.

PubMed

Ebert, D D; Berking, M; Cuijpers, P; Lehr, D; Pörtner, M; Baumeister, H

2015-05-01

Internet-based interventions (IBI) are effective in treating depression. However, uptake rates in routine care are still limited. Hence, this study aimed to (1) assess the acceptance of IBIs in primary care patients with depressive symptoms and to (2) examine the effects of a brief acceptance facilitating intervention in the form of an informational video on patients' acceptance of IBIs. Primary care patients (N=128) with Minor or Major Depression were randomly assigned to an intervention (IG) or control group (CG). Patients in the IG were shown a brief informational video about IBIs before receiving a questionnaire that assessed their acceptance of IBIs and other secondary outcomes. Patients of the CG filled out the questionnaire immediately. Baseline acceptance of IBIs in the CG was high for 6.3%, moderate for 53.1% and low for 40.6% of patients. Acceptance of IBIs was significantly higher in the IG when compared to the CG (d=.71, 95%-CI:.09-2.91). Except for social influence and the general attitude towards psychological treatment, all secondary outcomes were also significantly improved (e.g. effort- (d=.40) and performance-expectancy: d=.65; knowledge about Internet interventions d=.35). Depression of the participants was only assessed using a self-report measure (PHQ-9). Primary care patients' acceptance of IBIs for depressive symptoms was low but could be increased significantly using a brief acceptance facilitating intervention on the basis of an informational video. Future studies should further examine the potential of acceptance facilitating interventions for patients and health care providers to exploit the public health impact of IBIs. Copyright © 2015 Elsevier B.V. All rights reserved.

Obesity and its relation to depressive symptoms and sedentary lifestyle in middle-aged women.

PubMed

Blümel, Juan E; Chedraui, Peter; Aedo, Sócrates; Fica, Juan; Mezones-Holguín, Edward; Barón, Germán; Bencosme, Ascanio; Benítez, Zully; Bravo, Luz M; Calle, Andrés; Flores, Daniel; Espinoza, María T; Gómez, Gustavo; Hernández-Bueno, José A; Laribezcoa, Fiorella; Martino, Mabel; Lima, Selva; Monterrosa, Alvaro; Mostajo, Desiree; Ojeda, Eliana; Onatra, William; Sánchez, Hugo; Tserotas, Konstatinos; Vallejo, María S; Witis, Silvina; Zúñiga, María C

2015-01-01

The prevalence of obesity increases during female mid-life and although many factors have been identified, data from Latin America is lacking. To assess factors related to obesity among middle-aged women and determine the association with depressive symptoms, sedentary lifestyle and other factors. A total of 6079 women aged 40-59 years of 11 Latin American countries were asked to fill out the Goldberg Anxiety and Depression Scale, the Menopause Rating Scale, the Athens Insomnia Scale, the Pittsburgh Sleep Quality Index and a general questionnaire containing personal socio-demographic data, anthropometric measures and lifestyle information. Obesity was defined as a body mass index (BMI) ≥30 kg/m(2). Obesity was observed in 18.5% and sedentary lifestyle in 63.9%. A 55.5% presented vasomotor symptoms, 12.2% had severe menopausal symptoms and 13.2% used hormone therapy for the menopause. Prevalence of depressive symptoms was 46.5% and anxiety 59.7%. Our logistic regression model found that significant factors associated to obesity included: arterial hypertension (OR: 1.87), depressive symptoms (OR: 1.57), sedentary lifestyle (OR: 1.50) diabetes mellitus (OR: 1.34), higher number of individuals living at home (OR: 1.31), sleep problems (OR:1.22), anxiety (OR: 1.21), having a stable partner (OR: 1.20), parity (OR: 1.16) and vasomotor symptoms (OR:1.14). A lower risk for obesity was found among women using hormonal contraceptives (OR: 0.69). Obesity in middle-aged women is the consequence of the interaction of multiple factors. It was associated to hypertension, depressive symptoms, sedentary lifestyle, climacteric symptoms and other factors. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Acculturation matters in the relation between ambivalence over emotional expressions and well-being among Chinese American breast cancer survivors.

PubMed

Tsai, William; Lu, Qian

2017-10-01

Ambivalence over emotional expression (AEE) is the inner conflict of desiring emotion expression and fearing consequence of emotion expression. Few studies to date have examined the effects of AEE within an ethnic group that prioritizes emotional self-control. The present study examined the associations between AEE and well-being (viz., quality of life and depressive symptoms) as a function of acculturation among a sample of Chinese American breast cancer survivors. Ninety-six Chinese breast cancer survivors (M age  = 54.64 years old, SD = 7.98) were recruited from Southern California. Participants filled out a paper-pen questionnaire containing the Ambivalence over Emotional Expression Questionnaire (AEQ), the Functional Assessment of Cancer Therapy-Breast (FACT-B), and the Center for Epidemiologic Studies Depression Scale-Short Form (CESD-10). Acculturation was a statistically significant moderator of the relations between AEE and depressive symptoms, and a statistically marginally significant moderator of the relations between AEE and quality of life. Simple slopes revealed that AEE was negatively associated with quality of life (B = -.45, p < .001) and depressive symptoms (B = .20, p < .001) for women with high acculturation, but not associated for women with low acculturation (Bs = -.15 and .04, ps > .05, for quality of life and depressive symptoms, respectively). These results suggest that less acculturated Chinese breast cancer survivors are protected by Chinese cultural values of emotional self-control and restraint, and thus do not experience the detrimental effects of AEE on their depressive symptoms and quality of life. Implications are discussed.

Explaining mental health disparities for non-monosexual women: abuse history and risky sex, or the burdens of non-disclosure?

PubMed

Persson, Tonje J; Pfaus, James G; Ryder, Andrew G

2015-03-01

Research has found that non-monosexual women report worse mental health than their heterosexual and lesbian counterparts. The reasons for these mental health discrepancies are unclear. This study investigated whether higher levels of child abuse and risky sexual behavior, and lower levels of sexual orientation disclosure, may help explain elevated symptoms of depression and anxiety among non-monosexual women. Participants included 388 women living in Canada (Mean age = 24.40, SD = 6.40, 188 heterosexual, 53 mostly heterosexual, 64 bisexual, 32 mostly lesbian, 51 lesbian) who filled out the Beck Depression and Anxiety Inventories as part of an online study running from April 2011 to February 2014. Participants were collapsed into non-monosexual versus monosexual categories. Non-monosexual women reported more child abuse, risky sexual behavior, less sexual orientation disclosure, and more symptoms of depression and anxiety than monosexual women. Statistical mediation analyses, using conditional process modeling, revealed that sexual orientation disclosure and risky sexual behavior uniquely, but not sequentially, mediated the relation between sexual orientation, depression and anxiety. Sexual orientation disclosure and risky sexual behavior were both associated with depression and anxiety. Childhood abuse did not moderate depression, anxiety, or risky sexual behavior. Findings indicate that elevated levels of risky sexual behavior and deflated levels of sexual orientation disclosure may in part explain mental health disparities among non-monosexual women. Results highlight potential targets for preventive interventions aimed at decreasing negative mental health outcomes for non-monosexual women, such as public health campaigns targeting bisexual stigma and the development of sex education programs for vulnerable sexual minority women, such as those defining themselves as bisexual, mostly heterosexual, or mostly lesbian. Copyright © 2014 Elsevier Ltd. All rights reserved.

Geophysical Investigations on a Suspected Quarternary Volcanic Structure in North Eastern Bavaria, Germany

NASA Astrophysics Data System (ADS)

Geiss, E.; Rohrmüller, J.; Wassermann, J.; Hackl, M.; Kirscher, U.; Bachtadse, V.

2012-04-01

Recent geophysical studies on a small scale morphological depression northwest of the Zelezná hurka scoria cone (Eisenbühl, 49.99°N/12.45°E) near the village of Mytina (Czech Republic) revealed the presence of a maar-diatreme, filled with volcanic material and covered by alluvium. Reported Ar/Ar ages of 288 ± 17 ka imply that formation of the Mytina maar and emplacement of the Zelezná hurka might represent the youngest volcanic event in Central Europe, east of the volcanic Eifel province. If the interpretation that both the Mytina maar and the Zelezná hurka scoria cone are situated on the NW-SE striking Tachov Fault Zone south of the Cheb basin is correct, similar volcanic structures can be assumed to the west of the Czech-German border only a couple of km away from Mytina. Here we report the results of a combined gravity, magnetic, geoelectric and seismic survey carried out across a topographic depression situated along strike of the Tachov Fault Zone near the town of Neualbenreuth, eastern Bavaria. The local gravity field was determined at 120 data points covering roughly 10 square km. The Bouguer and topographically corrected gravity data show a very distinct isometric low of -2.84 mgals in an area of ~300x400m which coincides with the topographic depression in the center of the studied area. The resulting model of the density distribution in the underground is consistent with a maar-diatreme with rather low density rocks in the central vent. The structure has been modelled in 3D using IGMAS software. Geoelectrical measurements indicate low resistivity in the vent and higher porosity in the vent filling. However, magnetic data and seismic profiles across the postulated maar-diatreme do not strengthen our hypothesis and are inconclusive.

Sedimentary framework of Penobscot Bay, Maine

USGS Publications Warehouse

Knebel, Harley J.; Scanlon, Kathryn M.

1985-01-01

Analyses of seismic-reflection profiles, along with previously collected sediment samples and geologic information from surrounding coastal areas, outline the characteristics, distribution, and history of the strata that accumulated within Penobscot Bay, Maine, during the complex period of glaciation, crustal movement, and sea-level change since late Wisconsinan time. Sediments that overlie the rugged, glacially eroded surface of Paleozoic bedrock range in thickness from near zero to more than 50 m and consist of four distinct units.Massive to partly stratified, coarse-grained drift forms thin (< 15 m) isolated patches along the walls and floors of bedrock troughs and constitutes a thick (up to 30 m), hummocky end moraine in the central part of the bay. The drift was deposited by the last ice sheet between 12,700 and 13,500 years ago during deglaciation and coastal submergence (due to crustal depression).Well-stratified, fine-grained glaciomarine deposits are concentrated in bedrock depressions beneath the main passages of the bay. During the period of ice retreat and marine submergence, these sediments settled to the sea floor, draped the irregular underlying surface of bedrock or drift, and accumulated without disturbance by physical or biologic processes.Heterogeneous fluvial deposits fill ancestral channels of the Penobscot River beneath the head of the bay. The channels were incised during a −40 m postglacial low stand of sea level (due to crustal rebound) and later were filled as base level was increased during Holocene time.Muddy marine sediments, which are homogeneous to weakly stratified and rich in organic matter, blanket older deposits within bathymetric depressions in the middle and lower reaches of the bay and cover a pronounced, gently dipping, erosional unconformity in the upper reach. These sediments were deposited during the Holocene transgression as sea level approached its present position and the bay became deeper.Late Wisconsinan and Holocene sedimentation in Penobscot Bay has smoothed the sea floor, but it has not completely obscured the ice-sculptured bedrock topography.

[Epidemiology and associated factors with depression among people suffering from epilepsy: A transversal French study in a tertiary center].

PubMed

Vallée, C; Biraben, A; Nica, A; Loiseau, M

2018-03-07

The occurrence of depression in people with epilepsy is almost twice as common as in the general population. Furthermore, depression is the first cause of lower quality of life among those patients. Which is why the main goal of this study was to assess the epidemiology of depression and its associated factors among the patients from the tertiary department of epileptology in Rennes. The subjects were included prospectively and consecutively at the moment of their consultation or hospitalisation in the department. Personal data about the socio-economic status and the type of epilepsy was collected. The subjects filled validated self-assessment of depression (NDDIE), anxiety (GAD-7) and quality of life (QOLIE-10). Thanks to the NDDIE, the patients were divided into: "depressed" and "not depressed"; and the two groups were compared with univariate and multivariate models. Of the 322 patients followed-up in the department between the 17th of June and the 9th of September 2016 223 of them were included in the study. According to the NDDIE, 22.6% suffered from depression; according to the GAD-7, 46.4% suffered from anxiety. In the "depressed" group, 82% were not under anti-depressant medication. In the univariate model, depression was associated with: anxiety, suicidal ideations, lower quality of life, vague nervus stimulation treatment, anticonvulsant benzodiazepine medication or psychiatric medication, and last of all bitherapy or polytherapy antiepileptic medication compared to monotherapy. In the multivariate model, depression was significantly related to anxiety (OR: 8.86 [3.00; 26.19] p=0.0001), suicidal ideas (OR: 7.43 [2.93; 18.81] p<0.0001), anticonvulsant benzodiazepine medication (OR: 3.31 [1.16; 9.49] p=0.0255), and lower quality of life (OR: 1.09 [1.02; 1.17] p=0.0087). Generalised epilepsy was a protective factor with uni and multivariate models (OR: 0.34 [0.11; 1.00] p=0.0492). In the tertiary epileptic department of Rennes, more than 20% of patients with epilepsy suffered from depression during the inclusion period according to the NDDIE. Among those "depressed" subjects, fewer than one out of five seemed to receive proper psychiatric care. Which is why this study highlights the importance of interdisciplinary cooperation between neurologists and psychiatrists in order to aim at better management of epileptic patients as a whole. Copyright © 2018 L'Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

A real time QRS detection using delay-coordinate mapping for the microcontroller implementation.

PubMed

Lee, Jeong-Whan; Kim, Kyeong-Seop; Lee, Bongsoo; Lee, Byungchae; Lee, Myoung-Ho

2002-01-01

In this article, we propose a new algorithm using the characteristics of reconstructed phase portraits by delay-coordinate mapping utilizing lag rotundity for a real-time detection of QRS complexes in ECG signals. In reconstructing phase portrait the mapping parameters, time delay, and mapping dimension play important roles in shaping of portraits drawn in a new dimensional space. Experimentally, the optimal mapping time delay for detection of QRS complexes turned out to be 20 ms. To explore the meaning of this time delay and the proper mapping dimension, we applied a fill factor, mutual information, and autocorrelation function algorithm that were generally used to analyze the chaotic characteristics of sampled signals. From these results, we could find the fact that the performance of our proposed algorithms relied mainly on the geometrical property such as an area of the reconstructed phase portrait. For the real application, we applied our algorithm for designing a small cardiac event recorder. This system was to record patients' ECG and R-R intervals for 1 h to investigate HRV characteristics of the patients who had vasovagal syncope symptom and for the evaluation, we implemented our algorithm in C language and applied to MIT/BIH arrhythmia database of 48 subjects. Our proposed algorithm achieved a 99.58% detection rate of QRS complexes.

New perspectives on the geometry of the Albuquerque Basin, Rio Grande rift, New Mexico: Insights from geophysical models of rift-fill thickness

USGS Publications Warehouse

Grauch, V. J.; Connell, Sean D.

2013-01-01

Discrepancies among previous models of the geometry of the Albuquerque Basin motivated us to develop a new model using a comprehensive approach. Capitalizing on a natural separation between the densities of mainly Neogene basin fill (Santa Fe Group) and those of older rocks, we developed a three-dimensional (3D) geophysical model of syn-rift basin-fill thickness that incorporates well data, seismic-reflection data, geologic cross sections, and other geophysical data in a constrained gravity inversion. Although the resulting model does not show structures directly, it elucidates important aspects of basin geometry. The main features are three, 3–5-km-deep, interconnected structural depressions, which increase in size, complexity, and segmentation from north to south: the Santo Domingo, Calabacillas, and Belen subbasins. The increase in segmentation and complexity may reflect a transition of the Rio Grande rift from well-defined structural depressions in the north to multiple, segmented basins within a broader region of crustal extension to the south. The modeled geometry of the subbasins and their connections differs from a widely accepted structural model based primarily on seismic-reflection interpretations. Key elements of the previous model are an east-tilted half-graben block on the north separated from a west-tilted half-graben block on the south by a southwest-trending, scissor-like transfer zone. Instead, we find multiple subbasins with predominantly easterly tilts for much of the Albuquerque Basin, a restricted region of westward tilting in the southwestern part of the basin, and a northwesterly trending antiform dividing subbasins in the center of the basin instead of a major scissor-like transfer zone. The overall eastward tilt indicated by the 3D geophysical model generally conforms to stratal tilts observed for the syn-rift succession, implying a prolonged eastward tilting of the basin during Miocene time. An extensive north-south synform in the central part of the Belen subbasin suggests a possible path for the ancestral Rio Grande during late Miocene or early Pliocene time. Variations in rift-fill thickness correspond to pre-rift structures in several places, suggesting that a better understanding of pre-rift history may shed light on debates about structural inheritance within the rift.

icoshift: A versatile tool for the rapid alignment of 1D NMR spectra

NASA Astrophysics Data System (ADS)

Savorani, F.; Tomasi, G.; Engelsen, S. B.

2010-02-01

The increasing scientific and industrial interest towards metabonomics takes advantage from the high qualitative and quantitative information level of nuclear magnetic resonance (NMR) spectroscopy. However, several chemical and physical factors can affect the absolute and the relative position of an NMR signal and it is not always possible or desirable to eliminate these effects a priori. To remove misalignment of NMR signals a posteriori, several algorithms have been proposed in the literature. The icoshift program presented here is an open source and highly efficient program designed for solving signal alignment problems in metabonomic NMR data analysis. The icoshift algorithm is based on correlation shifting of spectral intervals and employs an FFT engine that aligns all spectra simultaneously. The algorithm is demonstrated to be faster than similar methods found in the literature making full-resolution alignment of large datasets feasible and thus avoiding down-sampling steps such as binning. The algorithm uses missing values as a filling alternative in order to avoid spectral artifacts at the segment boundaries. The algorithm is made open source and the Matlab code including documentation can be downloaded from www.models.life.ku.dk.

Application of temporal moments and other signal processing algorithms to analysis of ultrasonic signals through melting wax

DOE PAGES

Lau, Sarah J.; Moore, David G.; Stair, Sarah L.; ...

2016-01-01

Ultrasonic analysis is being explored as a way to capture events during melting of highly dispersive wax. Typical events include temperature changes in the material, phase transition of the material, surface flows and reformations, and void filling as the material melts. Melt tests are performed with wax to evaluate the usefulness of different signal processing algorithms in capturing event data. Several algorithm paths are being pursued. The first looks at changes in the velocity of the signal through the material. This is only appropriate when the changes from one ultrasonic signal to the next can be represented by a linearmore » relationship, which is not always the case. The second tracks changes in the frequency content of the signal. The third algorithm tracks changes in the temporal moments of a signal over a full test. This method does not require that the changes in the signal be represented by a linear relationship, but attaching changes in the temporal moments to physical events can be difficult. This study describes the algorithm paths applied to experimental data from ultrasonic signals as wax melts and explores different ways to display the results.« less

Automatic detection of zebra crossings from mobile LiDAR data

NASA Astrophysics Data System (ADS)

Riveiro, B.; González-Jorge, H.; Martínez-Sánchez, J.; Díaz-Vilariño, L.; Arias, P.

2015-07-01

An algorithm for the automatic detection of zebra crossings from mobile LiDAR data is developed and tested to be applied for road management purposes. The algorithm consists of several subsequent processes starting with road segmentation by performing a curvature analysis for each laser cycle. Then, intensity images are created from the point cloud using rasterization techniques, in order to detect zebra crossing using the Standard Hough Transform and logical constrains. To optimize the results, image processing algorithms are applied to the intensity images from the point cloud. These algorithms include binarization to separate the painting area from the rest of the pavement, median filtering to avoid noisy points, and mathematical morphology to fill the gaps between the pixels in the border of white marks. Once the road marking is detected, its position is calculated. This information is valuable for inventorying purposes of road managers that use Geographic Information Systems. The performance of the algorithm has been evaluated over several mobile LiDAR strips accounting for a total of 30 zebra crossings. That test showed a completeness of 83%. Non-detected marks mainly come from painting deterioration of the zebra crossing or by occlusions in the point cloud produced by other vehicles on the road.

BILATERAL HYDRONEPHROSIS IN A SUGAR GLIDER (PETAURUS BREVICEPS).

PubMed

Cusack, Lara; Schnellbacher, Rodney; Howerth, Elizabeth W; Jiménez, David A; Mayer, Joerg; Divers, Stephen

2016-09-01

An adult, intact male sugar glider ( Petaurus breviceps ) presented for acute caudal abdominal swelling. Treatment by the referring veterinarian included aspiration of urine from the swelling. On physical examination, mild depression, pale mucus membranes, and caudal abdominal swelling were noted. Focused ultrasonographic assessment revealed a fluid-filled caudal abdominal structure and subjective bladder wall thickening. The following day, the sugar glider was severely depressed. Hematology results included hypoglycemia, hyperkalemia, hyponatremia, and azotemia. Ultrasonography revealed bilateral hydronephrosis and hydroureter. Despite supportive care, the animal died. Postmortem examination confirmed bilateral ureteral dilation, renal petechial hemorrhage, and dilation of the right renal pelvis. Submucosal edema, hemorrhage, and lymphoplasmacytic infiltration of the urinary bladder, ureters, and renal pelvises were noted. Hyperplasia of the urinary bladder and ureteral epithelium, coupled with inflammation, may have caused functional obstruction leading to bilateral hydronephrosis and hydroureter. This is the first reported case of hydronephrosis in a marsupial.

Perceived Discrimination and Reported Delay of Pharmacy Prescriptions and Medical Tests

PubMed Central

Van Houtven, Courtney Harold; Voils, Corrine I; Oddone, Eugene Z; Weinfurt, Kevin P; Friedman, Joëlle Y; Schulman, Kevin A; Bosworth, Hayden B

2005-01-01

BACKGROUND Access to health care varies according to a person's race and ethnicity. Delaying treatment is one measure of access with important health consequences. OBJECTIVE Determine whether perceptions of unfair treatment because of race or ethnicity are associated with reported treatment delays, controlling for economic constraints, self-reported health, depression, and demographics. DESIGN Cross-sectional, observational study. PARTICIPANTS A randomly selected community sample of 181 blacks, 148 Latinos, and 193 whites in Durham County, NC. MEASUREMENTS A phone survey conducted in 2002 to assess discrimination, trust in medical care, quality of care, and access to care. Treatment delays were measured by whether or not a person reported delaying or forgoing filling a prescription and delaying or forgoing having a medical test/treatment in the past 12 months. Perceived discrimination was measured as unfair treatment in health care and as racism in local health care institutions. RESULTS The odds of delaying filling prescriptions were significantly higher (odds ratio (OR)=2.02) for persons who perceived unfair treatment, whereas the odds of delaying tests or treatments were significantly higher (OR=2.42) for persons who thought racism was a problem in health care locally. People with self-reported depression and people who reported not working had greater odds of delaying both types of care. CONCLUSIONS A prospective cohort study with both personal and macro measures of discrimination, as well as more refined measures of treatment delays, would help us better understand the relationship between perceived discrimination and treatment delays. PMID:16050850

Insulin resistance is associated with depression risk in polycystic ovary syndrome.

PubMed

Greenwood, Eleni A; Pasch, Lauri A; Cedars, Marcelle I; Legro, Richard S; Eisenberg, Esther; Huddleston, Heather G

2018-06-13

To test the hypothesis that insulin resistance is associated with depression risk in polycystic ovary syndrome (PCOS). Secondary analysis of data from a multicenter randomized trial. Multicenter university-based clinical practices. Seven hundred thirty-eight women with PCOS by modified Rotterdam criteria seeking pregnancy enrolled in a randomized clinical trial comparing clomiphene citrate versus letrozole. The Primary Care Evaluation of Mental Disorders Patient Health Questionnaire was self-administered to identify depression using a validated algorithm at enrollment. Demographic and anthropometric data were collected, and serum assays were performed. Insulin resistance was estimated using the homeostatic model of insulin resistance (HOMA-IR), with a cutoff of >2.2 considered abnormal. Demographic, endocrine, and metabolic parameters associated with depression. In a univariate logistic regression analysis, elevated HOMA-IR was associated with 2.3-fold increased odds of depression (odds ratio [OR] = 2.32; 95% confidence interval [CI], 1.28-4.21). This association remained significant after controlling for age and body mass index (adjusted OR [aOR] = 2.23; 95% CI, 1.11-4.46) and in a model including additional potential confounders (aOR = 2.03; 95% CI, 1.00-4.16). Insulin resistance has a strong and independent association with depression in PCOS and may serve as a physiologic mediator. Our findings corroborate a growing body of evidence linking insulin resistance to depressed mood. The association between insulin resistance and depressed mood warrants further investigation to elucidate mechanisms and identify potential therapeutic targets. Copyright © 2018 American Society for Reproductive Medicine. All rights reserved.

A nationwide population-based study of depression in Brazil.

PubMed

Munhoz, Tiago N; Nunes, Bruno P; Wehrmeister, Fernando C; Santos, Iná S; Matijasevich, Alicia

2016-03-01

The state of mental health of the population is considered to be an important and essential component of public health. Depression is the mental disorder with greatest prevalence in several countries around the world. This was a nationwide Brazilian survey with household-based interviews. The sampling process was at random and cluster-based, and performed in three stages: census tracts, households and individuals. One inhabitant aged ≥18 years was selected per household. Individuals at greater risk of depression were identified through the Patient Health Questionnaire-9 (PHQ-9) algorithm, which uses internationally accepted diagnostic criteria. All analyses took into account sample weights. A total of 60,202 individuals were evaluated and the prevalence of positive screening for depression was 4.1% (95% CI: 3.8-4.4%). After adjustments for potential confounding factors, depression was found to be greater among women, individuals aged either 40-59 years or 80 years or over, individuals living in urban areas, those with lower educational level, smokers, and among individuals with arterial hypertension, diabetes and heart disorders. Skin colour, marital status and alcohol abuse were not associated with depression. Characteristics of respondents and non-respondents in the sample could not be compared because data about non-respondents was not available. The prevalence of positive screening for depression in Brazil was similar to other studies conducted worldwide. In Brazil, this proportion reflects a considerable absolute number of people with greater risk of depression (≈5.5 million) that may require adequate management through the health system and services. Copyright © 2015 Elsevier B.V. All rights reserved.

In a randomized, double-blind clinical trial, adjuvant atorvastatin improved symptoms of depression and blood lipid values in patients suffering from severe major depressive disorder.

PubMed

Haghighi, Mohammad; Khodakarami, Saeed; Jahangard, Leila; Ahmadpanah, Mohammad; Bajoghli, Hafez; Holsboer-Trachsler, Edith; Brand, Serge

2014-11-01

The administration of statins seems to be a promising new avenue in the treatment of patients suffering from major depressive disorder (MDD), though patients suffering from severe MDD remain unstudied in this respect. The aim of the present study was therefore to investigate, in a randomized double-blind clinical trial, the influence of adjuvant atorvastatin on symptoms of depression in patients with MDD. A total of 60 patients suffering from MDD (mean age: 32.25 years; 53% males) received a standard medication of 40 mg/d citalopram. Next, patients were randomly assigned either to the atorvastatin group (20 mg/d) or to the placebo group. Blood lipid values were assessed at baseline and on completion of the study 12 weeks later. Experts rated depressive symptoms via Hamilton Depression Rating Scales (HDRS) at baseline and 3, 6 and 12 weeks later. HDRS scores decreased over time; the significant Time by Group interaction showed that symptoms of depression decreased more in the atorvastatin than in the placebo group. Compared to the placebo group, in the atorvastatin group cholesterol, triglyceride, and Low Density Lipids (LDL) significantly decreased, and High Density Lipids (HDL) significantly increased over time. HDRS scores and blood lipid values were generally not associated. The pattern of results suggests that adjuvant atorvastatin favorably influences symptoms of depression among patients with severe MDD. Given that after 12 weeks of monotherapy and adjuvant atorvastatin patients were still moderately to severely depressed, more powerful treatment algorithms such as augmentation and change of medication are highly recommended. Copyright © 2014 Elsevier Ltd. All rights reserved.

A hemispheric climatology of monsoon depressions

NASA Astrophysics Data System (ADS)

Hurley, J. V.; Boos, W.

2012-12-01

Monsoon depressions are large (1000-2000 km diameter) cyclonic low pressure systems having organized deep convection, best known for forming in the Bay of Bengal and migrating northwest over northern India in the monsoon trough. About 3 to 5 of these systems occur during each monsoon season, contributing about half of the Indian summer rainfall. Despite their importance as a precipitation source, their dynamics are poorly constrained. Furthermore, although they do occur elsewhere, such as around Australia and in the southern Indian Ocean, there does not exist a collective inventory of these systems outside of the Bay of Bengal region. Here we present a climatology of monsoon depressions produced from the ERA-Interim Reanalysis. Feature tracks are identified using an automated tracking algorithm (K. Hodges' TRACK code) applied to the 850 hPa relative vorticity field for local summer, 1989 to 2003. Using criteria based on relative vorticity and sea level pressure, cyclonic low pressure systems are separated into different intensity categories, one of which corresponds to the definition for monsoon depressions used by the India Meteorological Department. The resultant distribution of storms obtained for the Bay of Bengal region compares well with a previously compiled climatology of monsoon depressions that was limited to the region surrounding India. Having validated our ability to identify monsoon depressions in their classic genesis region near India, we then extend the methods to include the western Pacific, Australia, and the southern Indian Ocean. Track distributions and composite structures of monsoon depressions for these different regions will be presented.

A systematic review including meta-analysis of work environment and depressive symptoms.

PubMed

Theorell, Töres; Hammarström, Anne; Aronsson, Gunnar; Träskman Bendz, Lil; Grape, Tom; Hogstedt, Christer; Marteinsdottir, Ina; Skoog, Ingmar; Hall, Charlotte

2015-08-01

Depressive symptoms are potential outcomes of poorly functioning work environments. Such symptoms are frequent and cause considerable suffering for the employees as well as financial loss for the employers. Accordingly good prospective studies of psychosocial working conditions and depressive symptoms are valuable. Scientific reviews of such studies have pointed at methodological difficulties but still established a few job risk factors. Those reviews were published some years ago. There is need for an updated systematic review using the GRADE system. In addition, gender related questions have been insufficiently reviewed. Inclusion criteria for the studies published 1990 to June 2013: 1. European and English speaking countries. 2. Quantified results describing the relationship between exposure (psychosocial or physical/chemical) and outcome (standardized questionnaire assessment of depressive symptoms or interview-based clinical depression). 3. Prospective or comparable case-control design with at least 100 participants. 4. Assessments of exposure (working conditions) and outcome at baseline and outcome (depressive symptoms) once again after follow-up 1-5 years later. 5. Adjustment for age and adjustment or stratification for gender. Studies filling inclusion criteria were subjected to assessment of 1.) relevance and 2.) quality using predefined criteria. Systematic review of the evidence was made using the GRADE system. When applicable, meta-analysis of the magnitude of associations was made. Consistency of findings was examined for a number of possible confounders and publication bias was discussed. Fifty-nine articles of high or medium high scientific quality were included. Moderately strong evidence (grade three out of four) was found for job strain (high psychological demands and low decision latitude), low decision latitude and bullying having significant impact on development of depressive symptoms. Limited evidence (grade two) was shown for psychological demands, effort reward imbalance, low support, unfavorable social climate, lack of work justice, conflicts, limited skill discretion, job insecurity and long working hours. There was no differential gender effect of adverse job conditions on depressive symptoms There is substantial empirical evidence that employees, both men and women, who report lack of decision latitude, job strain and bullying, will experience increasing depressive symptoms over time. These conditions are amenable to organizational interventions.

Exploring the association between whole blood Omega-3 Index, DHA, EPA, DHA, AA and n-6 DPA, and depression and self-esteem in adolescents of lower general secondary education.

PubMed

van der Wurff, I S M; von Schacky, C; Bergeland, T; Leontjevas, R; Zeegers, M P; Kirschner, P A; de Groot, R H M

2018-03-16

Depression is common in adolescents and long-chain polyunsaturated fatty acids (LCPUFA) are suggested to be associated with depression. However, research in adolescents is limited. Furthermore, self-esteem has never been studied in relation to LCPUFA. The objective here was to determine associations of depression and self-esteem with eicosapentaenoic acid (EPA), docosahexaenoic acid (DHA), Omega-3 Index (O3I), n-6 docosapentaenoic acid (n-6 DPA, also called Osbond acid, ObA), n-3 docosapentaenoic acid (DPA), and arachidonic acid (AA) concentrations in blood of adolescents attending lower general secondary education (LGSE). Baseline cross-sectional data from a krill oil supplementation trial in adolescents attending LGSE with an O3I ≤ 5% were analysed using regression models built with the BayesFactor package in R. Fatty acids and O3I were determined in blood. Participants filled out the Centre for Epidemiologic Studies Depression (CES-D) scale and the Rosenberg Self-Esteem scale (RSE). Scores indicative of depression (CES-D ≥ 16) were found in 29.4% of the respondents. Of all fatty acids, we found extreme evidence [Bayes factor (BF) > 100] for a weak negative association between ObA and depression score [- 0.16; 95% credible interval (CI) - 0.28 to - 0.04; BF 10  = 245], and substantial evidence for a weak positive association between ObA and self-esteem score (0.09; 95% CI, - 0.03 to 0.20; BF 10  = 4). When all fatty acids were put in one model as predictors of CES-D or RSE, all of the 95% CI contained 0, i.e., no significant association. No evidence was found for associations of DHA, EPA and O3I with depression or self-esteem scores in LGSE adolescents with O3I ≤ 5%. The associations of higher ObA status with lower depression and higher self-esteem scores warrant more research.

An Optimal Schedule for Urban Road Network Repair Based on the Greedy Algorithm

PubMed Central

Lu, Guangquan; Xiong, Ying; Wang, Yunpeng

2016-01-01

The schedule of urban road network recovery caused by rainstorms, snow, and other bad weather conditions, traffic incidents, and other daily events is essential. However, limited studies have been conducted to investigate this problem. We fill this research gap by proposing an optimal schedule for urban road network repair with limited repair resources based on the greedy algorithm. Critical links will be given priority in repair according to the basic concept of the greedy algorithm. In this study, the link whose restoration produces the ratio of the system-wide travel time of the current network to the worst network is the minimum. We define such a link as the critical link for the current network. We will re-evaluate the importance of damaged links after each repair process is completed. That is, the critical link ranking will be changed along with the repair process because of the interaction among links. We repair the most critical link for the specific network state based on the greedy algorithm to obtain the optimal schedule. The algorithm can still quickly obtain an optimal schedule even if the scale of the road network is large because the greedy algorithm can reduce computational complexity. We prove that the problem can obtain the optimal solution using the greedy algorithm in theory. The algorithm is also demonstrated in the Sioux Falls network. The problem discussed in this paper is highly significant in dealing with urban road network restoration. PMID:27768732

Scheduling Algorithms for Maximizing Throughput with Zero-Forcing Beamforming in a MIMO Wireless System

NASA Astrophysics Data System (ADS)

Foronda, Augusto; Ohta, Chikara; Tamaki, Hisashi

Dirty paper coding (DPC) is a strategy to achieve the region capacity of multiple input multiple output (MIMO) downlink channels and a DPC scheduler is throughput optimal if users are selected according to their queue states and current rates. However, DPC is difficult to implement in practical systems. One solution, zero-forcing beamforming (ZFBF) strategy has been proposed to achieve the same asymptotic sum rate capacity as that of DPC with an exhaustive search over the entire user set. Some suboptimal user group selection schedulers with reduced complexity based on ZFBF strategy (ZFBF-SUS) and proportional fair (PF) scheduling algorithm (PF-ZFBF) have also been proposed to enhance the throughput and fairness among the users, respectively. However, they are not throughput optimal, fairness and throughput decrease if each user queue length is different due to different users channel quality. Therefore, we propose two different scheduling algorithms: a throughput optimal scheduling algorithm (ZFBF-TO) and a reduced complexity scheduling algorithm (ZFBF-RC). Both are based on ZFBF strategy and, at every time slot, the scheduling algorithms have to select some users based on user channel quality, user queue length and orthogonality among users. Moreover, the proposed algorithms have to produce the rate allocation and power allocation for the selected users based on a modified water filling method. We analyze the schedulers complexity and numerical results show that ZFBF-RC provides throughput and fairness improvements compared to the ZFBF-SUS and PF-ZFBF scheduling algorithms.

The Texas medication algorithm project: clinical results for schizophrenia.

PubMed

Miller, Alexander L; Crismon, M Lynn; Rush, A John; Chiles, John; Kashner, T Michael; Toprac, Marcia; Carmody, Thomas; Biggs, Melanie; Shores-Wilson, Kathy; Chiles, Judith; Witte, Brad; Bow-Thomas, Christine; Velligan, Dawn I; Trivedi, Madhukar; Suppes, Trisha; Shon, Steven

2004-01-01

In the Texas Medication Algorithm Project (TMAP), patients were given algorithm-guided treatment (ALGO) or treatment as usual (TAU). The ALGO intervention included a clinical coordinator to assist the physicians and administer a patient and family education program. The primary comparison in the schizophrenia module of TMAP was between patients seen in clinics in which ALGO was used (n = 165) and patients seen in clinics in which no algorithms were used (n = 144). A third group of patients, seen in clinics using an algorithm for bipolar or major depressive disorder but not for schizophrenia, was also studied (n = 156). The ALGO group had modestly greater improvement in symptoms (Brief Psychiatric Rating Scale) during the first quarter of treatment. The TAU group caught up by the end of 12 months. Cognitive functions were more improved in ALGO than in TAU at 3 months, and this difference was greater at 9 months (the final cognitive assessment). In secondary comparisons of ALGO with the second TAU group, the greater improvement in cognitive functioning was again noted, but the initial symptom difference was not significant.

Distance descending ordering method: An O(n) algorithm for inverting the mass matrix in simulation of macromolecules with long branches

NASA Astrophysics Data System (ADS)

Xu, Xiankun; Li, Peiwen

2017-11-01

Fixman's work in 1974 and the follow-up studies have developed a method that can factorize the inverse of mass matrix into an arithmetic combination of three sparse matrices-one of them is positive definite and needs to be further factorized by using the Cholesky decomposition or similar methods. When the molecule subjected to study is of serial chain structure, this method can achieve O (n) time complexity. However, for molecules with long branches, Cholesky decomposition about the corresponding positive definite matrix will introduce massive fill-in due to its nonzero structure. Although there are several methods can be used to reduce the number of fill-in, none of them could strictly guarantee for zero fill-in for all molecules according to our test, and thus cannot obtain O (n) time complexity by using these traditional methods. In this paper we present a new method that can guarantee for no fill-in in doing the Cholesky decomposition, which was developed based on the correlations between the mass matrix and the geometrical structure of molecules. As a result, the inverting of mass matrix will remain the O (n) time complexity, no matter the molecule structure has long branches or not.

Filling quality of the reports of adverse drug reactions received at the Pharmacovigilance Centre of São Paulo (Brazil): missing information hinders the analysis of suspected associations.

PubMed

Ribeiro, Adalton; Lima, Silvana; Zampieri, Maria-Elisa; Peinado, Mirtes; Figueras, Albert

2017-12-01

The completeness and accuracy of the reports of suspected adverse drug reactions is important in pharmacovigilance. The aim of the present study was to analyze the quality of the information included in the reports sent to the Pharmacovigilance Centre of São Paulo (Brazil). A sample of 999 reports received from January 2013 to December 2014 was selected. The quality of the filled information was evaluated according to a 'sufficiency' criterion to apply the Karch-Lasagna causality algorithm. There were 820 reports from manufacturers and 179 from health centres. Only 4.4% (44) were fully filled, thus allowing the adequate analysis of the causal relationship between the suspected medication and the adverse event. In 30% of the reports from manufacturers, the information about the critical variables was lacking or incomplete, preventing the adequate evaluation of the report. It was also noted that the reports' poor filling quality was not related with less severity or with old and well-known medicines. The poor quality of the information included in the reports received by this centre, especially those sent by pharmaceutical manufacturers, hampers the identification of potential safety signals. Measures to improve the quality of the reports must be urgently adopted.

Stigmatizing Reactions to Intimate Partner Violence Disclosure and Depression: Examining the Mediating Role of Coping Strategies

PubMed Central

Overstreet, Nicole M.; Willie, Tiara C.; Sullivan, Tami P.

2017-01-01

Objective Despite increased attention to the relation between negative social reactions to intimate partner violence (IPV) disclosure and poorer mental health outcomes for victims, research has yet to examine whether certain types of negative social reactions are associated with poorer mental health outcomes more so than others. Further, research is scarce on potential mediators of this relationship. To fill these gaps, the current study examines whether stigmatizing reactions to IPV disclosure, such as victim-blaming responses and minimizing experiences of IPV, are a specific type of negative social reaction that exerts greater influence on women’s depressive symptoms than general negative reactions, such as being angry at the perpetrators of IPV. We also examine avoidance coping as a key mediator of this relationship. Methods A cross sectional correlational study was conducted to examine these relationships. Participants were 212 women from an urban northeast community who indicated being physically victimized by their male partner in the past six months. Results Findings from a multiple regression analysis showed that stigmatizing reactions, not general negative reactions, predicted women’s depressive symptoms. In addition, a multiple mediation analysis revealed that avoidance coping strategies, but not approach coping strategies, significantly accounted for the relationship between stigmatizing social reactions and women’s depressive symptoms. Conclusions Findings have implications for improving support from informal and formal sources and subsequently, IPV exposed women’s psychological well-being. PMID:27296052

A qualitative study of the acceptability of routine screening of postnatal women using the Edinburgh Postnatal Depression Scale.

PubMed Central

Shakespeare, Judy; Blake, Fiona; Garcia, Jo

2003-01-01

BACKGROUND: Screening for postnatal depression using the Edinburgh Postnatal Depression Scale (EPDS) has been widely recommended and implemented in primary care, although little is known about how acceptable it is to women. AIM: To explore the acceptability to women of postnatal screening by health visitors with the EPDS. DESIGN OF STUDY: Qualitative interview study. SETTING: Postnatal patients from 22 general practices within the area of Oxford City Primary Care Group. METHOD: Thirty-nine postnatal women from a purposive sample were interviewed, chosen on the basis of different general practices, EPDS results at eight weeks and eight months postnatal, and whether 'listening visits' were received. The interviews were analysed using the constant comparative method. RESULTS: Just over half of the women interviewed found screening with the EPDS less than acceptable, whatever their postnatal emotional health. The main themes identified were problems with the process of screening and, in particular, the venue, the personal intrusion of screening and stigma. The women interviewed had a clear preference for talking about how they felt, rather than filling out a questionnaire. CONCLUSION: For this sample, routine screening with the EPDS was less than acceptable for the majority of women. This is of concern, as universal screening with the EPDS for the detection of postnatal depression is already recommended and widespread in primary care. PMID:14601337

Inverse steptoes in Las Bombas volcano, as an evidence of explosive volcanism in a solidified lava flow field. Southern Mendoza-Argentina

NASA Astrophysics Data System (ADS)

Risso, Corina; Prezzi, Claudia; Orgeira, María Julia; Nullo, Francisco; Margonari, Liliana; Németh, Karoly

2015-11-01

Here we describe the unusual genesis of steptoes in Las Bombas volcano- Llancanelo Volcanic Field (LVF) (Pliocene - Quaternary), Mendoza, Argentina. Typically, a steptoe forms when a lava flow envelops a hill, creating a well-defined stratigraphic relationship between the older hill and the younger lava flow. In the Llancanelo Volcanic Field, we find steptoes formed with an apparent normal stratigraphic relationship but an inverse age-relationship. Eroded remnants of scoria cones occur in ;circular depressions; in the lava field. To express the inverse age-relationship between flow fields and depression-filled cones here we define this landforms as inverse steptoes. Magnetometric analysis supports this inverse age relationship, indicating reverse dipolar magnetic anomalies in the lava field and normal dipolar magnetization in the scoria cones (e.g. La Bombas). Negative Bouguer anomalies calculated for Las Bombas further support the interpretation that the scoria cones formed by secondary fracturing on already solidified basaltic lava flows. Advanced erosion and mass movements in the inner edge of the depressions created a perfectly excavated circular depression enhancing the ;crater-like; architecture of the preserved landforms. Given the unusual genesis of the steptoes in LVF, we prefer the term inverse steptoe for these landforms. The term steptoe is a geomorphological name that has genetic implications, indicating an older hill and a younger lava flow. Here the relationship is reversed.

[Exploring the relationship between internalized stigma, insight and depression for inpatients with schizophrenia].

PubMed

Bouvet, C; Bouchoux, A

2015-10-01

Recent studies on insight in people with schizophrenia showed that insight level is linked with treatment compliance. Therefore, many therapies are aimed at increasing the insight level, such as psycho-education. However, insight level is also probably linked with depression level. So, improving insight is at risk of increasing the level of depression. Nevertheless, results on this topic are not consensual in the scientific literature. Presumably, this could be due to the concept of insight itself, although we could hypothesise that some confounding variables are implied in the interaction between insight and depression, such as internalized stigma. to test the hypothesis that the relationship between insight and depression is mediated by internalized stigma in people with schizophrenia. Sixty-two patients with schizophrenia (DSM-IV or ICD-10) recruited in mental health services in Île de France (75% male), aged 20 to 64 years (m=38.71, σ=0. 43), filled in questionnaires assessing internalized stigma (ISMI), depression (CDSS and BDI) and insight (SAIQ, Q8, IS), after giving their written informed consent. Correlations between insight, depression and different variables were made (Hypothesis 1). Then we ran multiple regressions and partial correlations to test the internalized stigma mediation (Hypothesis 2). Insight, internalized stigma and depression are statistically significantly correlated with each scales used (except Q8). Insight is correlated with depressed mood (correlations between IS and CDSS: r=0.27, P=0.04, and BDI, r=0.40, P=0.001). We also found negative correlations between SAIQ and CDSS (r=-0.35, P=0.005) and the BDI (r=-0.4265, P=0.000) which means that good insight is linked with depression. This result validates our hypothesis 1. The statistic tests reveal other complementary results: the association between insight and depression is mediated by the level of internalized stigma: when ISMI is controlled, the correlation between insight and depression decreased moderately with CDSS and with small intensity with SAIQ, but clearly. So, ISMI is probably a mediating variable between IS and BDI-CDSS. In conclusion, internalized stigma could be a mediating variable between insight and depression. This validates our second hypothesis. Our results suggest that the relationship between insight and depression is mediated by internalized stigma. Patients with good insight who internalize stigma seem to be more depressed than those who don't. This result could have important consequences in clinical practice: improving insight level should be completed by a specific attention to the level and evolution of internalized stigma to avoid increasing depression. Further studies need to be conducted to confirm these results. Copyright © 2014 L’Encéphale, Paris. Published by Elsevier Masson SAS. All rights reserved.

Predicting missing values in a home care database using an adaptive uncertainty rule method.

PubMed

Konias, S; Gogou, G; Bamidis, P D; Vlahavas, I; Maglaveras, N

2005-01-01

Contemporary literature illustrates an abundance of adaptive algorithms for mining association rules. However, most literature is unable to deal with the peculiarities, such as missing values and dynamic data creation, that are frequently encountered in fields like medicine. This paper proposes an uncertainty rule method that uses an adaptive threshold for filling missing values in newly added records. A new approach for mining uncertainty rules and filling missing values is proposed, which is in turn particularly suitable for dynamic databases, like the ones used in home care systems. In this study, a new data mining method named FiMV (Filling Missing Values) is illustrated based on the mined uncertainty rules. Uncertainty rules have quite a similar structure to association rules and are extracted by an algorithm proposed in previous work, namely AURG (Adaptive Uncertainty Rule Generation). The main target was to implement an appropriate method for recovering missing values in a dynamic database, where new records are continuously added, without needing to specify any kind of thresholds beforehand. The method was applied to a home care monitoring system database. Randomly, multiple missing values for each record's attributes (rate 5-20% by 5% increments) were introduced in the initial dataset. FiMV demonstrated 100% completion rates with over 90% success in each case, while usual approaches, where all records with missing values are ignored or thresholds are required, experienced significantly reduced completion and success rates. It is concluded that the proposed method is appropriate for the data-cleaning step of the Knowledge Discovery process in databases. The latter, containing much significance for the output efficiency of any data mining technique, can improve the quality of the mined information.

Application of 3D Electrical Resistivity Tomography As A Tool for Mapping Subsurface Cavities in a Kaolin Mining Site at Kankara in North Central Nigeria.

NASA Astrophysics Data System (ADS)

Eshimiakhe, D.; Jimoh, R.

2017-12-01

A Kaolin mining site at Dajin Gwanma in north central Nigeria was investigated to determine the possibility of using 3D ERT to detect subsurface voids created due to mining of kaolin deposit and to perhaps suggest areas prone to subsidence. This study was undertaken on conceptual resistivity model that subsurface voids characterized by higher or lower resistivity than the host, depending on weather the void is in-filled water or not. The data collection was carried out with Terrameter SAS 4000 and ES 464 electrode selector equipment. Dipole-dipole configuration at electrode spacing of 5m was used to acquire the data along parallel profiles laid at equal interval in the study area. While the acquired data along each profile were inverted with 2D algorithm, a script file was created to collate the 2D data set into a 3D format and subsequently inverted using 3D algorithm. A volumetric resistivity model block of the study area was also created using the voxler 4 software. The results show that the voids are characterized by high resistivity (950Ωm-2500Ωm) at depth of between 0-4m and low resistivity (10Ωm-100Ωm) at a depth of 5-30m indicating both air-filled and water-filled voids respectively. The study shows that the voids increase in dimension with depth in NW-SE direction, suggesting that the voids are trending most probably along vertical bedrock joints. It also suggest that voids may overtime grow large enough that the overlying top soil can no longer bridge it, leading to its collapse.

Painful Bladder Filling and Painful Urgency Are Distinct Characteristics in Men and Women with Urologic Chronic Pelvic Pain Syndromes – A MAPP Research Network Study

PubMed Central

Lai, H. Henry; Krieger, John N.; Pontari, Michel A.; Buchwald, Dedra; Hou, Xiaoling; Landis, J. Richard

2015-01-01

Purpose To describe bladder-associated symptoms in patients with urologic chronic pelvic pain syndromes (UCPPS) and to correlate these symptoms with urologic, non-urologic, psychosocial, and quality of life measures. Methods Participants were 233 women and 191 men with interstitial cystitis/bladder pain syndrome or chronic prostatitis/chronic pelvic pain syndrome in a multi-center study. They completed a battery of measures, including items asking if their pain worsened with bladder filling (“painful filling”) or if their urge to urinate was due to pain, pressure, or discomfort (“painful urgency”). Participants were categorized into 3 groups: 1) “both” painful filling and painful urgency, 2) “either” painful filling or painful urgency, or 3) “neither.” Results Seventy-five percent of men and 88% of women were categorized as “both” or “either.” These bladder characteristics were associated with more severe urologic symptoms (increased pain, frequency, urgency), higher somatic symptom burden, depression, and worse quality of life (all p<0.01, 3-group trend test). A gradient effect was observed across groups (both > either > neither). Compared to those in the “neither” group, men categorized as “both” or “either” reported more frequent UCPPS symptom flares, catastrophizing, and irritable bowel syndrome, and women categorized as “both” or “either” were more likely to have negative affect and chronic fatigue syndrome. Conclusions Men and women with bladder symptoms characterized as painful filling or painful urgency had more severe urologic symptoms, more generalized symptoms, and worse quality of life than participants who reported neither characteristic, suggesting that these symptom characteristics might represent important subsets of UCPPS patients. PMID:26192257

Classifying depression patients and normal subjects using machine learning techniques and nonlinear features from EEG signal.

PubMed

Hosseinifard, Behshad; Moradi, Mohammad Hassan; Rostami, Reza

2013-03-01

Diagnosing depression in the early curable stages is very important and may even save the life of a patient. In this paper, we study nonlinear analysis of EEG signal for discriminating depression patients and normal controls. Forty-five unmedicated depressed patients and 45 normal subjects were participated in this study. Power of four EEG bands and four nonlinear features including detrended fluctuation analysis (DFA), higuchi fractal, correlation dimension and lyapunov exponent were extracted from EEG signal. For discriminating the two groups, k-nearest neighbor, linear discriminant analysis and logistic regression as the classifiers are then used. Highest classification accuracy of 83.3% is obtained by correlation dimension and LR classifier among other nonlinear features. For further improvement, all nonlinear features are combined and applied to classifiers. A classification accuracy of 90% is achieved by all nonlinear features and LR classifier. In all experiments, genetic algorithm is employed to select the most important features. The proposed technique is compared and contrasted with the other reported methods and it is demonstrated that by combining nonlinear features, the performance is enhanced. This study shows that nonlinear analysis of EEG can be a useful method for discriminating depressed patients and normal subjects. It is suggested that this analysis may be a complementary tool to help psychiatrists for diagnosing depressed patients. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Altered amygdala and hippocampus effective connectivity in mild cognitive impairment patients with depression: a resting-state functional MR imaging study with granger causality analysis

PubMed Central

Zhang, Xin Yuan; Wang, Yun Fei; Liu, Ya; Zheng, Gang; Lu, Guang Ming; Zhang, Long Jiang; Han, Ying

2017-01-01

Neuroimaging studies have demonstrated that the major depression disorder would increase the risk of dementia in the older with amnestic cognitive impairment. We used granger causality analysis algorithm to explore the amygdala- and hippocampus-based directional connectivity patterns in 12 patients with major depression disorder and amnestic cognitive impairment (mean age: 69.5 ± 10.3 years), 13 amnestic cognitive impairment patients (mean age: 72.7 ± 8.5 years) and 14 healthy controls (mean age: 64.7 ± 7.0 years). Compared with amnestic cognitive impairment patients and control groups respectively, the patients with both major depression disorder and amnestic cognitive impairment displayed increased effective connectivity from the right amygdala to the right lingual and calcarine gyrus, as well as to the bilateral supplementary motor areas. Meanwhile, the patients with both major depression disorder and amnestic cognitive impairment had enhanced effective connectivity from the left superior parietal gyrus, superior and middle occipital gyrus to the left hippocampus, the z values of which was also correlated with the scores of mini-mental state examination and auditory verbal learning test-immediate recall. Our findings indicated that the directional effective connectivity of right amygdala - occipital-parietal lobe – left hippocampus might be the pathway by which major depression disorder inhibited the brain activity in patients with amnestic cognitive impairment. PMID:28212570

Altered amygdala and hippocampus effective connectivity in mild cognitive impairment patients with depression: a resting-state functional MR imaging study with granger causality analysis.

PubMed

Zheng, Li Juan; Yang, Gui Fen; Zhang, Xin Yuan; Wang, Yun Fei; Liu, Ya; Zheng, Gang; Lu, Guang Ming; Zhang, Long Jiang; Han, Ying

2017-04-11

Neuroimaging studies have demonstrated that the major depression disorder would increase the risk of dementia in the older with amnestic cognitive impairment. We used granger causality analysis algorithm to explore the amygdala- and hippocampus-based directional connectivity patterns in 12 patients with major depression disorder and amnestic cognitive impairment (mean age: 69.5 ± 10.3 years), 13 amnestic cognitive impairment patients (mean age: 72.7 ± 8.5 years) and 14 healthy controls (mean age: 64.7 ± 7.0 years). Compared with amnestic cognitive impairment patients and control groups respectively, the patients with both major depression disorder and amnestic cognitive impairment displayed increased effective connectivity from the right amygdala to the right lingual and calcarine gyrus, as well as to the bilateral supplementary motor areas. Meanwhile, the patients with both major depression disorder and amnestic cognitive impairment had enhanced effective connectivity from the left superior parietal gyrus, superior and middle occipital gyrus to the left hippocampus, the z values of which was also correlated with the scores of mini-mental state examination and auditory verbal learning test-immediate recall. Our findings indicated that the directional effective connectivity of right amygdala - occipital-parietal lobe - left hippocampus might be the pathway by which major depression disorder inhibited the brain activity in patients with amnestic cognitive impairment.

A psychometric evaluation of the clinician-rated Quick Inventory of Depressive Symptomatology (QIDS-C16) in patients with bipolar disorder.

PubMed

Bernstein, Ira H; Rush, A John; Suppes, Trisha; Trivedi, Madhukar H; Woo, Ada; Kyutoku, Yasushi; Crismon, M Lynn; Dennehy, Ellen; Carmody, Thomas J

2009-06-01

The clinician-rated, 16-item Quick Inventory of Depressive Symptomatology (QIDS-C16) has been extensively evaluated in patients with major depressive disorder (MDD). This report assesses the psychometric properties of the QIDS-C16 in outpatients with bipolar disorder (BD, N = 405) and MDD (N = 547) and in bipolar patients in the depressed phase only (BD-D) (N = 99) enrolled in the Texas Medication Algorithm Project (TMAP) using classical test theory (CTT) and the Samejima graded item response theory (IRT) model. Values of coefficient alpha were very similar in BD, MDD, and BD-D groups at baseline (alpha = 0.80-0.81) and at exit (alpha = 0.82-0.85). The QIDS-C16 was unidimensional for all three groups. MDD and BD-D patients (n = 99) had comparable symptom levels. The BD-D patients (n = 99) had the most, and bipolar patients in the manic phase had the least depressive symptoms at baseline. IRT analyses indicated that the QIDS-C16 was most sensitive to the measurement of depression for both MDD patients and for BD-D patients in the average range. The QIDS-C16 is suitable for use with patients with BD and can be used as an outcome measure in trials enrolling both BD and MDD patients. John Wiley & Sons, Ltd

Impact of iterative metal artifact reduction on diagnostic image quality in patients with dental hardware.

PubMed

Weiß, Jakob; Schabel, Christoph; Bongers, Malte; Raupach, Rainer; Clasen, Stephan; Notohamiprodjo, Mike; Nikolaou, Konstantin; Bamberg, Fabian

2017-03-01

Background Metal artifacts often impair diagnostic accuracy in computed tomography (CT) imaging. Therefore, effective and workflow implemented metal artifact reduction algorithms are crucial to gain higher diagnostic image quality in patients with metallic hardware. Purpose To assess the clinical performance of a novel iterative metal artifact reduction (iMAR) algorithm for CT in patients with dental fillings. Material and Methods Thirty consecutive patients scheduled for CT imaging and dental fillings were included in the analysis. All patients underwent CT imaging using a second generation dual-source CT scanner (120 kV single-energy; 100/Sn140 kV in dual-energy, 219 mAs, gantry rotation time 0.28-1/s, collimation 0.6 mm) as part of their clinical work-up. Post-processing included standard kernel (B49) and an iterative MAR algorithm. Image quality and diagnostic value were assessed qualitatively (Likert scale) and quantitatively (HU ± SD) by two reviewers independently. Results All 30 patients were included in the analysis, with equal reconstruction times for iMAR and standard reconstruction (17 s ± 0.5 vs. 19 s ± 0.5; P > 0.05). Visual image quality was significantly higher for iMAR as compared with standard reconstruction (3.8 ± 0.5 vs. 2.6 ± 0.5; P < 0.0001, respectively) and showed improved evaluation of adjacent anatomical structures. Similarly, HU-based measurements of degree of artifacts were significantly lower in the iMAR reconstructions as compared with the standard reconstruction (0.9 ± 1.6 vs. -20 ± 47; P < 0.05, respectively). Conclusion The tested iterative, raw-data based reconstruction MAR algorithm allows for a significant reduction of metal artifacts and improved evaluation of adjacent anatomical structures in the head and neck area in patients with dental hardware.

Split-plot designs for robotic serial dilution assays.

PubMed

Buzas, Jeffrey S; Wager, Carrie G; Lansky, David M

2011-12-01

This article explores effective implementation of split-plot designs in serial dilution bioassay using robots. We show that the shortest path for a robot to fill plate wells for a split-plot design is equivalent to the shortest common supersequence problem in combinatorics. We develop an algorithm for finding the shortest common supersequence, provide an R implementation, and explore the distribution of the number of steps required to implement split-plot designs for bioassay through simulation. We also show how to construct collections of split plots that can be filled in a minimal number of steps, thereby demonstrating that split-plot designs can be implemented with nearly the same effort as strip-plot designs. Finally, we provide guidelines for modeling data that result from these designs. © 2011, The International Biometric Society.

Can Depression be Diagnosed by Response to Mother's Face? A Personalized Attachment-Based Paradigm for Diagnostic fMRI

PubMed Central

Zhang, Xian; Yaseen, Zimri S.; Galynker, Igor I.; Hirsch, Joy; Winston, Arnold

2011-01-01

Objective Objective measurement of depression remains elusive. Depression has been associated with insecure attachment, and both have been associated with changes in brain reactivity in response to viewing standard emotional and neutral faces. In this study, we developed a method to calculate predicted scores for the Beck Depression Inventory II (BDI-II) using personalized stimuli: fMRI imaging of subjects viewing pictures of their own mothers. Methods 28 female subjects ages 18–30 (14 healthy controls and 14 unipolar depressed diagnosed by MINI psychiatric interview) were scored on the Beck Depression Inventory II (BDI-II) and the Adult Attachment Interview (AAI) coherence of mind scale of global attachment security. Subjects viewed pictures of Mother (M), Friend (F) and Stranger (S), during functional magnetic resonance imaging (fMRI). Using a principal component regression method (PCR), a predicted Beck Depression Inventory II (BDI-II) score was obtained from activity patterns in the paracingulate gyrus (Brodmann area 32) and compared to clinical diagnosis and the measured BDI-II score. The same procedure was performed for AAI coherence of mind scores. Results Activity patterns in BA-32 identified depressed subjects. The categorical agreement between the derived BDI-II score (using the standard clinical cut-score of 14 on the BDI-II) and depression diagnosis by MINI psychiatric interview was 89%, with sensitivity 85.7% and specificity 92.8%. Predicted and measured BDI-II scores had a correlation of 0.55. Prediction of attachment security was not statistically significant. Conclusions Brain activity in response to viewing one's mother may be diagnostic of depression. Functional magnetic resonance imaging using personalized paradigms has the potential to provide objective assessments, even when behavioral measures are not informative. Further, fMRI based diagnostic algorithms may enhance our understanding of the neural mechanisms of depression by identifying distinctive neural features of the illness. PMID:22180777

Experimental determination of pore shapes using phase retrieval from q -space NMR diffraction

NASA Astrophysics Data System (ADS)

Demberg, Kerstin; Laun, Frederik Bernd; Bertleff, Marco; Bachert, Peter; Kuder, Tristan Anselm

2018-05-01

This paper presents an approach to solving the phase problem in nuclear magnetic resonance (NMR) diffusion pore imaging, a method that allows imaging the shape of arbitrary closed pores filled with an NMR-detectable medium for investigation of the microstructure of biological tissue and porous materials. Classical q -space imaging composed of two short diffusion-encoding gradient pulses yields, analogously to diffraction experiments, the modulus squared of the Fourier transform of the pore image which entails an inversion problem: An unambiguous reconstruction of the pore image requires both magnitude and phase. Here the phase information is recovered from the Fourier modulus by applying a phase retrieval algorithm. This allows omitting experimentally challenging phase measurements using specialized temporal gradient profiles. A combination of the hybrid input-output algorithm and the error reduction algorithm was used with dynamically adapting support (shrinkwrap extension). No a priori knowledge on the pore shape was fed to the algorithm except for a finite pore extent. The phase retrieval approach proved successful for simulated data with and without noise and was validated in phantom experiments with well-defined pores using hyperpolarized xenon gas.

Automated segmentation and feature extraction of product inspection items

NASA Astrophysics Data System (ADS)

Talukder, Ashit; Casasent, David P.

1997-03-01

X-ray film and linescan images of pistachio nuts on conveyor trays for product inspection are considered. The final objective is the categorization of pistachios into good, blemished and infested nuts. A crucial step before classification is the separation of touching products and the extraction of features essential for classification. This paper addresses new detection and segmentation algorithms to isolate touching or overlapping items. These algorithms employ a new filter, a new watershed algorithm, and morphological processing to produce nutmeat-only images. Tests on a large database of x-ray film and real-time x-ray linescan images of around 2900 small, medium and large nuts showed excellent segmentation results. A new technique to detect and segment dark regions in nutmeat images is also presented and tested on approximately 300 x-ray film and approximately 300 real-time linescan x-ray images with 95-97 percent detection and correct segmentation. New algorithms are described that determine nutmeat fill ratio and locate splits in nutmeat. The techniques formulated in this paper are of general use in many different product inspection and computer vision problems.

Experimental determination of pore shapes using phase retrieval from q-space NMR diffraction.

PubMed

Demberg, Kerstin; Laun, Frederik Bernd; Bertleff, Marco; Bachert, Peter; Kuder, Tristan Anselm

2018-05-01

This paper presents an approach to solving the phase problem in nuclear magnetic resonance (NMR) diffusion pore imaging, a method that allows imaging the shape of arbitrary closed pores filled with an NMR-detectable medium for investigation of the microstructure of biological tissue and porous materials. Classical q-space imaging composed of two short diffusion-encoding gradient pulses yields, analogously to diffraction experiments, the modulus squared of the Fourier transform of the pore image which entails an inversion problem: An unambiguous reconstruction of the pore image requires both magnitude and phase. Here the phase information is recovered from the Fourier modulus by applying a phase retrieval algorithm. This allows omitting experimentally challenging phase measurements using specialized temporal gradient profiles. A combination of the hybrid input-output algorithm and the error reduction algorithm was used with dynamically adapting support (shrinkwrap extension). No a priori knowledge on the pore shape was fed to the algorithm except for a finite pore extent. The phase retrieval approach proved successful for simulated data with and without noise and was validated in phantom experiments with well-defined pores using hyperpolarized xenon gas.

Comparison of various contact algorithms for poroelastic tissues.

PubMed

Galbusera, Fabio; Bashkuev, Maxim; Wilke, Hans-Joachim; Shirazi-Adl, Aboulfazl; Schmidt, Hendrik

2014-01-01

Capabilities of the commercial finite element package ABAQUS in simulating frictionless contact between two saturated porous structures were evaluated and compared with those of an open source code, FEBio. In ABAQUS, both the default contact implementation and another algorithm based on an iterative approach requiring script programming were considered. Test simulations included a patch test of two cylindrical slabs in a gapless contact and confined compression conditions; a confined compression test of a porous cylindrical slab with a spherical porous indenter; and finally two unconfined compression tests of soft tissues mimicking diarthrodial joints. The patch test showed almost identical results for all algorithms. On the contrary, the confined and unconfined compression tests demonstrated large differences related to distinct physical and boundary conditions considered in each of the three contact algorithms investigated in this study. In general, contact with non-uniform gaps between fluid-filled porous structures could be effectively simulated with either ABAQUS or FEBio. The user should be aware of the parameter definitions, assumptions and limitations in each case, and take into consideration the physics and boundary conditions of the problem of interest when searching for the most appropriate model.

DOE Office of Scientific and Technical Information (OSTI.GOV)

Lau, Sarah J.; Moore, David G.; Stair, Sarah L.

Ultrasonic analysis is being explored as a way to capture events during melting of highly dispersive wax. Typical events include temperature changes in the material, phase transition of the material, surface flows and reformations, and void filling as the material melts. Melt tests are performed with wax to evaluate the usefulness of different signal processing algorithms in capturing event data. Several algorithm paths are being pursued. The first looks at changes in the velocity of the signal through the material. This is only appropriate when the changes from one ultrasonic signal to the next can be represented by a linearmore » relationship, which is not always the case. The second tracks changes in the frequency content of the signal. The third algorithm tracks changes in the temporal moments of a signal over a full test. This method does not require that the changes in the signal be represented by a linear relationship, but attaching changes in the temporal moments to physical events can be difficult. This study describes the algorithm paths applied to experimental data from ultrasonic signals as wax melts and explores different ways to display the results.« less

A compressed sensing method with analytical results for lidar feature classification

NASA Astrophysics Data System (ADS)

Allen, Josef D.; Yuan, Jiangbo; Liu, Xiuwen; Rahmes, Mark

2011-04-01

We present an innovative way to autonomously classify LiDAR points into bare earth, building, vegetation, and other categories. One desirable product of LiDAR data is the automatic classification of the points in the scene. Our algorithm automatically classifies scene points using Compressed Sensing Methods via Orthogonal Matching Pursuit algorithms utilizing a generalized K-Means clustering algorithm to extract buildings and foliage from a Digital Surface Models (DSM). This technology reduces manual editing while being cost effective for large scale automated global scene modeling. Quantitative analyses are provided using Receiver Operating Characteristics (ROC) curves to show Probability of Detection and False Alarm of buildings vs. vegetation classification. Histograms are shown with sample size metrics. Our inpainting algorithms then fill the voids where buildings and vegetation were removed, utilizing Computational Fluid Dynamics (CFD) techniques and Partial Differential Equations (PDE) to create an accurate Digital Terrain Model (DTM) [6]. Inpainting preserves building height contour consistency and edge sharpness of identified inpainted regions. Qualitative results illustrate other benefits such as Terrain Inpainting's unique ability to minimize or eliminate undesirable terrain data artifacts.

Long Valley Caldera Lake and reincision of Owens River Gorge

USGS Publications Warehouse

Hildreth, Wes; Fierstein, Judy

2016-12-16

Owens River Gorge, today rimmed exclusively in 767-ka Bishop Tuff, was first cut during the Neogene through a ridge of Triassic granodiorite to a depth as great as its present-day floor and was then filled to its rim by a small basaltic shield at 3.3 Ma. The gorge-filling basalt, 200 m thick, blocked a 5-km-long reach of the upper gorge, diverting the Owens River southward around the shield into Rock Creek where another 200-m-deep gorge was cut through the same basement ridge. Much later, during Marine Isotope Stage (MIS) 22 (~900–866 ka), a piedmont glacier buried the diversion and deposited a thick sheet of Sherwin Till atop the basalt on both sides of the original gorge, showing that the basalt-filled reach had not, by then, been reexcavated. At 767 ka, eruption of the Bishop Tuff blanketed the landscape with welded ignimbrite, deeply covering the till, basalt, and granodiorite and completely filling all additional reaches of both Rock Creek canyon and Owens River Gorge. The ignimbrite rests directly on the basalt and till along the walls of Owens Gorge, but nowhere was it inset against either, showing that the basalt-blocked reach had still not been reexcavated. Subsidence of Long Valley Caldera at 767 ka produced a steep-walled depression at least 700 m deeper than the precaldera floor of Owens Gorge, which was beheaded at the caldera’s southeast rim. Caldera collapse reoriented proximal drainages that had formerly joined east-flowing Owens River, abruptly reversing flow westward into the caldera. It took 600,000 years of sedimentation in the 26-km-long, usually shallow, caldera lake to fill the deep basin and raise lake level to its threshold for overflow. Not until then did reestablishment of Owens River Gorge begin, by incision of the gorge-filling ignimbrite.

Melancholic depression prediction by identifying representative features in metabolic and microarray profiles with missing values.

PubMed

Nie, Zhi; Yang, Tao; Liu, Yashu; Li, Qingyang; Narayan, Vaibhav A; Wittenberg, Gayle; Ye, Jieping

2015-01-01

Recent studies have revealed that melancholic depression, one major subtype of depression, is closely associated with the concentration of some metabolites and biological functions of certain genes and pathways. Meanwhile, recent advances in biotechnologies have allowed us to collect a large amount of genomic data, e.g., metabolites and microarray gene expression. With such a huge amount of information available, one approach that can give us new insights into the understanding of the fundamental biology underlying melancholic depression is to build disease status prediction models using classification or regression methods. However, the existence of strong empirical correlations, e.g., those exhibited by genes sharing the same biological pathway in microarray profiles, tremendously limits the performance of these methods. Furthermore, the occurrence of missing values which are ubiquitous in biomedical applications further complicates the problem. In this paper, we hypothesize that the problem of missing values might in some way benefit from the correlation between the variables and propose a method to learn a compressed set of representative features through an adapted version of sparse coding which is capable of identifying correlated variables and addressing the issue of missing values simultaneously. An efficient algorithm is also developed to solve the proposed formulation. We apply the proposed method on metabolic and microarray profiles collected from a group of subjects consisting of both patients with melancholic depression and healthy controls. Results show that the proposed method can not only produce meaningful clusters of variables but also generate a set of representative features that achieve superior classification performance over those generated by traditional clustering and data imputation techniques. In particular, on both datasets, we found that in comparison with the competing algorithms, the representative features learned by the proposed method give rise to significantly improved sensitivity scores, suggesting that the learned features allow prediction with high accuracy of disease status in those who are diagnosed with melancholic depression. To our best knowledge, this is the first work that applies sparse coding to deal with high feature correlations and missing values, which are common challenges in many biomedical applications. The proposed method can be readily adapted to other biomedical applications involving incomplete and high-dimensional data.

The effect of improvisational music therapy on the treatment of depression: protocol for a randomised controlled trial

PubMed Central

Erkkilä, Jaakko; Gold, Christian; Fachner, Jörg; Ala-Ruona, Esa; Punkanen, Marko; Vanhala, Mauno

2008-01-01

Background Music therapy is frequently offered to individuals suffering from depression. Despite the lack of research into the effects of music therapy on this population, anecdotal evidence suggests that the results are rather promising. The aim of this study is to examine whether improvisational, psychodynamically orientated music therapy in an individual setting helps reduce symptoms of depression and improve other health-related outcomes. In particular, attention will be given to mediator agents, such as musical expression and interaction in the sessions, as well as to the explanatory potential of EEG recordings in investigating emotion related music perception of individuals with depression. Methods 85 adults (18–50 years of age) with depression (ICD-10: F 32 or F33) will be randomly assigned to an experimental or a control condition. All participants will receive standard care, but the experimental group will be offered biweekly sessions of improvisational music therapy over a period of 3 months. A blind assessor will measure outcomes before testing, after 3 months, and after 6 months. Discussion This study aims to fill a gap in knowledge as to whether active (improvisational) music therapy applied to people with depression improves their condition. For the first time in this context, the mediating processes, such as changes in musical expression and interaction during the course of therapy, will be objectively investigated, and it is expected that the results will provide new insights into these processes. Furthermore, the findings are expected to reveal whether music related emotional experiences, as measured by EEG, can be utilized in assessing a depressive client's improvement in the therapy. The size and the comprehensiveness of the study are sufficient for generalizing its findings to clinical practice as well as to further music therapy research. Trial registration ISRCTN84185937 PMID:18588701

An algorithm for automated ROI definition in water or epoxy-filled NEMA NU-2 image quality phantoms.

PubMed

Pierce, Larry A; Byrd, Darrin W; Elston, Brian F; Karp, Joel S; Sunderland, John J; Kinahan, Paul E

2016-01-08

Drawing regions of interest (ROIs) in positron emission tomography/computed tomography (PET/CT) scans of the National Electrical Manufacturers Association (NEMA) NU-2 Image Quality (IQ) phantom is a time-consuming process that allows for interuser variability in the measurements. In order to reduce operator effort and allow batch processing of IQ phantom images, we propose a fast, robust, automated algorithm for performing IQ phantom sphere localization and analysis. The algorithm is easily altered to accommodate different configurations of the IQ phantom. The proposed algorithm uses information from both the PET and CT image volumes in order to overcome the challenges of detecting the smallest spheres in the PET volume. This algorithm has been released as an open-source plug-in to the Osirix medical image viewing software package. We test the algorithm under various noise conditions, positions within the scanner, air bubbles in the phantom spheres, and scanner misalignment conditions. The proposed algorithm shows run-times between 3 and 4 min and has proven to be robust under all tested conditions, with expected sphere localization deviations of less than 0.2 mm and variations of PET ROI mean and maximum values on the order of 0.5% and 2%, respectively, over multiple PET acquisitions. We conclude that the proposed algorithm is stable when challenged with a variety of physical and imaging anomalies, and that the algorithm can be a valuable tool for those who use the NEMA NU-2 IQ phantom for PET/CT scanner acceptance testing and QA/QC.

Patterns of deformation and volcanic flows associated with lithospheric loading by large volcanoes on Venus

NASA Technical Reports Server (NTRS)

Mcgovern, Patrick J.; Solomon, Sean C.

1993-01-01

Magellan radar imaging and topography data are now available for a number of volcanoes on Venus greater than 100 km in radius. These data can be examined to reveal evidence of the flexural response of the lithosphere to the volcanic load. On Venus, erosion and sediment deposition are negligible, so tectonic evidence of deformation around large volcanoes should be evident except where buried by very young flows. Radar images reveal that most tectonic features and flow units on the flanks of these volcanoes have predominantly radial orientations. However, both Tepev Mons in Bell Regio and Sapas Mons in Atla Regio exhibit circumferential graben on their flanks. In addition, images reveal several flow units with an annular character around the north and west flanks of Tepev Mons. This pattern most likely results from ponding of flows in an annular flexural moat. Maat Mons in Atla Regio and Sif Mons in Eistla Regio are examples of volcanoes that lack circumferential graben and annular flows; discernible flow units and fractures on these constructs appear to be predominantly radial. Altimetry data can also provide evidence of flexural response. Tepev Mons is partially encircled by depressions that may be sections of a flexural moat that has not been completely filled. The locations of these depressions generally coincide with the annular flows described above. There is weaker evidence for such depressions around Maat Mons as well. The lack of circumferential tectonic features around most volcanoes on Venus might be explained by gradual moat filling and coverage by radial flows. The depressions around Tepev (and possible Maat) may indicate that this process is currently continuing. We use analytic models of plate flexure in an axisymmetric geometry to constrain the elastic plate thickness supporting Tepev Mons. If we consider the outer radius of the ponded flows to be the edge of a moat, we find that models with elastic plate thickness of 10-20 km fit best. Finite element models of a volcanic load detached from the underlying lithosphere predict overthrusting and radial normal faulting at the volcano's edge. Such a mechanism for the formation of radial rift zones on Venus volcanoes would make such features analogous to structures on the flanks of volcanoes on Earth.

Modeling Active Aging and Explicit Memory: An Empirical Study.

PubMed

Ponce de León, Laura Ponce; Lévy, Jean Pierre; Fernández, Tomás; Ballesteros, Soledad

2015-08-01

The rapid growth of the population of older adults and their concomitant psychological status and health needs have captured the attention of researchers and health professionals. To help fill the void of literature available to social workers interested in mental health promotion and aging, the authors provide a model for active aging that uses psychosocial variables. Structural equation modeling was used to examine the relationships among the latent variables of the state of explicit memory, the perception of social resources, depression, and the perception of quality of life in a sample of 184 older adults. The results suggest that explicit memory is not a direct indicator of the perception of quality of life, but it could be considered an indirect indicator as it is positively correlated with perception of social resources and negatively correlated with depression. These last two variables influenced the perception of quality of life directly, the former positively and the latter negatively. The main outcome suggests that the perception of social support improves explicit memory and quality of life and reduces depression in active older adults. The findings also suggest that gerontological professionals should design memory training programs, improve available social resources, and offer environments with opportunities to exercise memory.

Reduced memory specificity predicts the acquisition of problem solving skills in psychoeducation.

PubMed

Van Daele, Tom; Van den Bergh, Omer; Van Audenhove, Chantal; Raes, Filip; Hermans, Dirk

2013-03-01

Research has shown that overgeneral autobiographical memory (OGM) is a valid predictor for the course of depression. It is not known, however, whether OGM also moderates information uptake and consolidation in a psychoeducation program to prevent stress, anxiety and depression. The present study was designed to investigate whether the Autobiographical Memory Test (AMT; Williams, & Broadbent, 1986) is a valid predictor for the actual unfolding of skills learned through psychoeducation. The questionnaire included primarily the AMT and the Stress Anxiety Depression Means-Ends Problem Solving Questionnaire (SAD-MEPS). It was filled in prior to and after the psychoeducational course by 23 participants. Correlations were calculated for the AMT at baseline and the differences between the pre and post measurements on the SAD-MEPS. Significant correlations were observed between the number of specific responses and the changes in the number of relevant means (r = .49, p < .01). The sample size was rather small, but several checks were able to reduce the chance of spurious findings. These findings may have important implications for the guidance to and the setup of psychoeducational interventions. Suggestions include screening and memory specificity training prior to course commencement. Copyright © 2011 Elsevier Ltd. All rights reserved.

Radio frequency tank eigenmode sensor for propellant quantity gauging

NASA Technical Reports Server (NTRS)

Zimmerli, Gregory A. (Inventor)

2013-01-01

A method for measuring the quantity of fluid in a tank may include the steps of selecting a match between a measured set of electromagnetic eigenfrequencies and a simulated plurality of sets of electromagnetic eigenfrequencies using a matching algorithm, wherein the match is one simulated set of electromagnetic eigenfrequencies from the simulated plurality of sets of electromagnetic eigenfrequencies, and determining the fill level of the tank based upon the match.

The U.S. Geological Survey Modular Ground-Water Model - PCGN: A Preconditioned Conjugate Gradient Solver with Improved Nonlinear Control

USGS Publications Warehouse

Naff, Richard L.; Banta, Edward R.

2008-01-01

The preconditioned conjugate gradient with improved nonlinear control (PCGN) package provides addi-tional means by which the solution of nonlinear ground-water flow problems can be controlled as compared to existing solver packages for MODFLOW. Picard iteration is used to solve nonlinear ground-water flow equations by iteratively solving a linear approximation of the nonlinear equations. The linear solution is provided by means of the preconditioned conjugate gradient algorithm where preconditioning is provided by the modi-fied incomplete Cholesky algorithm. The incomplete Cholesky scheme incorporates two levels of fill, 0 and 1, in which the pivots can be modified so that the row sums of the preconditioning matrix and the original matrix are approximately equal. A relaxation factor is used to implement the modified pivots, which determines the degree of modification allowed. The effects of fill level and degree of pivot modification are briefly explored by means of a synthetic, heterogeneous finite-difference matrix; results are reported in the final section of this report. The preconditioned conjugate gradient method is coupled with Picard iteration so as to efficiently solve the nonlinear equations associated with many ground-water flow problems. The description of this coupling of the linear solver with Picard iteration is a primary concern of this document.

Applications of Space-Filling-Curves to Cartesian Methods for CFD

NASA Technical Reports Server (NTRS)

Aftosmis, Michael J.; Berger, Marsha J.; Murman, Scott M.

2003-01-01

The proposed paper presents a variety novel uses of Space-Filling-Curves (SFCs) for Cartesian mesh methods in 0. While these techniques will be demonstrated using non-body-fitted Cartesian meshes, most are applicable on general body-fitted meshes -both structured and unstructured. We demonstrate the use of single O(N log N) SFC-based reordering to produce single-pass (O(N)) algorithms for mesh partitioning, multigrid coarsening, and inter-mesh interpolation. The intermesh interpolation operator has many practical applications including warm starts on modified geometry, or as an inter-grid transfer operator on remeshed regions in moving-body simulations. Exploiting the compact construction of these operators, we further show that these algorithms are highly amenable to parallelization. Examples using the SFC-based mesh partitioner show nearly linear speedup to 512 CPUs even when using multigrid as a smoother. Partition statistics are presented showing that the SFC partitions are, on-average, within 10% of ideal even with only around 50,000 cells in each subdomain. The inter-mesh interpolation operator also has linear asymptotic complexity and can be used to map a solution with N unknowns to another mesh with M unknowns with O(max(M,N)) operations. This capability is demonstrated both on moving-body simulations and in mapping solutions to perturbed meshes for finite-difference-based gradient design methods.

Implementation of a rational pharmacotherapy intervention for inpatients at a psychiatric department.

PubMed

Sorensen, Lene; Nielsen, Bent; Stage, Kurt B; Brøsen, Kim; Damkier, Per

2008-01-01

The objective of the study was to develop, implement and evaluate two treatment algorithms for schizophrenia and depression at a psychiatric hospital department. The treatment algorithms were based on available literature and developed in collaboration between psychiatrists, clinical pharmacologists and a clinical pharmacist. The treatment algorithms were introduced at a meeting for all psychiatrists, reinforced by the project psychiatrists in the daily routine and used for educational purposes of young doctors and medical students. A quantitative pre-post evaluation was conducted using data from medical charts, and qualitative information was collected by interviews. In general, no significant differences were found when comparing outcomes from 104 charts from the baseline period with 96 charts from the post-intervention period. Most of the patients (65% in the post-intervention period) admitted during the data collection periods did not receive any medication changes. Of the patients undergoing medication changes in the post-intervention period, 56% followed the algorithms, and 70% of the patients admitted to the psychiatric hospital department for the first time had their medications changed according to the algorithms. All of the 10 interviewed doctors found the algorithms useful. The treatment algorithms were successfully implemented with a high degree of satisfaction among the interviewed doctors. The majority of patients admitted to the psychiatric hospital department for the first time had their medications changed according to the algorithms.

Cognitive and Behavioral Skills Exercises Completed by Patients with Major Depression During Smartphone Cognitive Behavioral Therapy: Secondary Analysis of a Randomized Controlled Trial

PubMed Central

Horikoshi, Masaru; Fujita, Hirokazu; Tsujino, Naohisa; Jinnin, Ran; Kako, Yuki; Ogawa, Sei; Sato, Hirotoshi; Kitagawa, Nobuki; Shinagawa, Yoshihiro; Ikeda, Yoshio; Imai, Hissei; Tajika, Aran; Ogawa, Yusuke; Akechi, Tatsuo; Yamada, Mitsuhiko; Shimodera, Shinji; Watanabe, Norio; Inagaki, Masatoshi; Hasegawa, Akio

2018-01-01

Background A strong and growing body of evidence has demonstrated the effectiveness of cognitive behavioral therapy (CBT), either face-to-face, in person, or as self-help via the Internet, for depression. However, CBT is a complex intervention consisting of several putatively effective components, and how each component may or may not contribute to the overall effectiveness of CBT is poorly understood. Objective The aim of this study was to investigate how the users of smartphone CBT use and benefit from various components of the program. Methods This is a secondary analysis from a 9-week, single-blind, randomized controlled trial that has demonstrated the effectiveness of adjunctive use of smartphone CBT (Kokoro-App) over antidepressant pharmacotherapy alone among patients with drug-resistant major depressive disorder (total n=164, standardized mean difference in depression severity at week 9=0.40, J Med Internet Res). Kokoro-App consists of three cognitive behavioral skills of self-monitoring, behavioral activation, and cognitive restructuring, with corresponding worksheets to fill in. All activities of the participants learning each session of the program and completing each worksheet were uploaded onto Kokoro-Web, which each patient could use for self-check. We examined what use characteristics differentiated the more successful users of the CBT app from the less successful ones, split at the median of change in depression severity. Results A total of 81 patients with major depression were allocated to the smartphone CBT. On average, they completed 7.0 (standard deviation [SD] 1.4) out of 8 sessions of the program; it took them 10.8 (SD 4.2) days to complete one session, during which they spent 62 min (SD 96) on the app. There were no statistically significant differences in the number of sessions completed, time spent for the program, or the number of completed self-monitoring worksheets between the beneficiaries and the nonbeneficiaries. However, the former completed more behavioral activation tasks, engaged in different types of activities, and also filled in more cognitive restructuring worksheets than the latter. Activities such as “test-drive a new car,” “go to a coffee shop after lunch,” or “call up an old friend” were found to be particularly rewarding. All cognitive restructuring strategies were found to significantly decrease the distress level, with “What would be your advice to a friend who has a similar problem?” found more helpful than some other strategies. Conclusions The CBT program offered via smartphone and connected to the remote server is not only effective in alleviating depression but also opens a new avenue in gathering information of what and how each participant may utilize the program. The activities and strategies found useful in this analysis will provide valuable information in brush-ups of the program itself and of mobile health (mHealth) in general. Trial Registration Japanese Clinical Trials Registry UMIN CTR 000013693; https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ ctr_view.cgi?recptno=R000015984 (Archived by WebCite at http://www.webcitation.org/6u6pxVwik) PMID:29326098

Ottawa, Quebec Province, Canada and Glaciated Landscape

NASA Image and Video Library

1973-06-22

SL2-05-380 (22 June 1973) --- Ottawa, in the province of Ontario, (46.5N, 75.5W) is the capital of Canada and can be seen near the bottom of this scene on the Ottawa River. The region shown lies within the Canadian Shield. The glaciated surface of the land is underlain by lower Precambrian granite and sedimentary rock. Long fractures within these crystalline rocks have, in places, been carved out by glacial action. The resultant depressions are often water filled bogs and lakes. Photo credit: NASA

South San Francisco Bay, California

USGS Publications Warehouse

Dartnell, Peter; Gibbons, Helen

2007-01-01

View eastward. Elevations in mapped area color coded: purple (approx 15 m below sea level) to red-orange (approx 90 m above sea level). South San Francisco Bay is very shallow, with a mean water depth of 2.7 m (8.9 ft). Trapezoidal depression near San Mateo Bridge is where sediment has been extracted for use in cement production and as bay fill. Land from USGS digital orthophotographs (DOQs) overlaid on USGS digital elevation models (DEMs). Distance across bottom of image approx 11 km (7 mi); vertical exaggeration 1.5X.

A framework for comparing different image segmentation methods and its use in studying equivalences between level set and fuzzy connectedness frameworks

PubMed Central

Ciesielski, Krzysztof Chris; Udupa, Jayaram K.

2011-01-01

In the current vast image segmentation literature, there seems to be considerable redundancy among algorithms, while there is a serious lack of methods that would allow their theoretical comparison to establish their similarity, equivalence, or distinctness. In this paper, we make an attempt to fill this gap. To accomplish this goal, we argue that: (1) every digital segmentation algorithm A should have a well defined continuous counterpart MA, referred to as its model, which constitutes an asymptotic of A when image resolution goes to infinity; (2) the equality of two such models MA and MA′ establishes a theoretical (asymptotic) equivalence of their digital counterparts A and A′. Such a comparison is of full theoretical value only when, for each involved algorithm A, its model MA is proved to be an asymptotic of A. So far, such proofs do not appear anywhere in the literature, even in the case of algorithms introduced as digitizations of continuous models, like level set segmentation algorithms. The main goal of this article is to explore a line of investigation for formally pairing the digital segmentation algorithms with their asymptotic models, justifying such relations with mathematical proofs, and using the results to compare the segmentation algorithms in this general theoretical framework. As a first step towards this general goal, we prove here that the gradient based thresholding model M∇ is the asymptotic for the fuzzy connectedness Udupa and Samarasekera segmentation algorithm used with gradient based affinity A∇. We also argue that, in a sense, M∇ is the asymptotic for the original front propagation level set algorithm of Malladi, Sethian, and Vemuri, thus establishing a theoretical equivalence between these two specific algorithms. Experimental evidence of this last equivalence is also provided. PMID:21442014

Clustering with Missing Values: No Imputation Required

NASA Technical Reports Server (NTRS)

Wagstaff, Kiri

2004-01-01

Clustering algorithms can identify groups in large data sets, such as star catalogs and hyperspectral images. In general, clustering methods cannot analyze items that have missing data values. Common solutions either fill in the missing values (imputation) or ignore the missing data (marginalization). Imputed values are treated as just as reliable as the truly observed data, but they are only as good as the assumptions used to create them. In contrast, we present a method for encoding partially observed features as a set of supplemental soft constraints and introduce the KSC algorithm, which incorporates constraints into the clustering process. In experiments on artificial data and data from the Sloan Digital Sky Survey, we show that soft constraints are an effective way to enable clustering with missing values.

Comparative Study of button BPM Trapped Mode Heating

DOE Office of Scientific and Technical Information (OSTI.GOV)

Cameron,P.; Singh, O.

2009-05-04

The combination of short bunches and high currents found in modern light sources and colliders can result in the deposition of tens of watts of power in BPM buttons. The resulting thermal distortion is potentially problematic for maintaining high precision beam position stability, and in the extreme case can result in mechanical damage. We present a simple algorithm that uses the input parameters of beam current, bunch length, button diameter, beampipe aperture, and fill pattern to calculate a relative figure-of-merit for button heating. Data for many of the world's light sources and colliders is compiled in a table. Using themore » algorithm, the table is sorted in order of the relative magnitude of button heating.« less

Report of the first Nimbus-7 SMMR Experiment Team Workshop

NASA Technical Reports Server (NTRS)

Campbell, W. J.; Gloersen, P.

1983-01-01

Preliminary results of sea ice and techniques for calculating sea ice concentration and multiyear fraction from the microwave radiances obtained from the Nimbus-7 SMMR were presented. From these results, it is evident that these groups used different and independent approaches in deriving sea ice emissivities and algorithms. This precluded precise comparisons of their results. A common set of sea ice emissivities were defined for all groups to use for subsequent more careful comparison of the results from the various sea ice parameter algorithms. To this end, three different geographical areas in two different time intervals were defined as typifying SMMR beam-filling conditions for first year sea ice, multiyear sea ice, and open water and to be used for determining the required microwave emissivities.

Integrating digital topology in image-processing libraries.

PubMed

Lamy, Julien

2007-01-01

This paper describes a method to integrate digital topology informations in image-processing libraries. This additional information allows a library user to write algorithms respecting topological constraints, for example, a seed fill or a skeletonization algorithm. As digital topology is absent from most image-processing libraries, such constraints cannot be fulfilled. We describe and give code samples for all the structures necessary for this integration, and show a use case in the form of a homotopic thinning filter inside ITK. The obtained filter can be up to a hundred times as fast as ITK's thinning filter and works for any image dimension. This paper mainly deals of integration within ITK, but can be adapted with only minor modifications to other image-processing libraries.

A Soft Sensor-Based Three-Dimensional (3-D) Finger Motion Measurement System

PubMed Central

Park, Wookeun; Ro, Kyongkwan; Kim, Suin; Bae, Joonbum

2017-01-01

In this study, a soft sensor-based three-dimensional (3-D) finger motion measurement system is proposed. The sensors, made of the soft material Ecoflex, comprise embedded microchannels filled with a conductive liquid metal (EGaln). The superior elasticity, light weight, and sensitivity of soft sensors allows them to be embedded in environments in which conventional sensors cannot. Complicated finger joints, such as the carpometacarpal (CMC) joint of the thumb are modeled to specify the location of the sensors. Algorithms to decouple the signals from soft sensors are proposed to extract the pure flexion, extension, abduction, and adduction joint angles. The performance of the proposed system and algorithms are verified by comparison with a camera-based motion capture system. PMID:28241414

[Communicate instead of stigmatizing - does social contact with a depressed person change attitudes of medical students towards psychiatric disorders? A study of attitudes of medical students to psychiatric patients].

PubMed

Schenner, Manuela; Kohlbauer, Daniela; Günther, Verena

2011-01-01

The aim of the present study was to investigate how attitudes to psychiatric patients of medical students change, when given an opportunity to have social contact with a depressed individual, during their usual psychiatric practical. In the course of their compulsory practical at the University Clinic for General and Social Psychiatry, 127 students additionally participated in an information session in which a person suffering from depression reported on his/her life, illness and experiences with the illness. The control group comprised 98 students who did only the psychiatry practical. Both at the beginning and end of the practical, students filled in a questionnaire, among others, on cognitive and affective dimensions and social distance. The questionnaire was preceded by 4 different case vignettes describing a fictional person (a man/woman suffering from paranoid schizophrenia and a man/woman suffering from unipolar depression). The results of our study show that before students took their practical, female students felt more pro-social and socially closer, but at the same time more fearful, in relation to mentally ill persons than male students. Females also considered psychiatric illnesses as better treatable than males. Basically, students felt socially closer towards depressed persons than towards schizophrenic patients who were also perceived to be more severely ill, more dangerous and more unpredictable. Students with personal contact with a female depressed patient during their practical demonstrated significant reduction of social distance and fear in relation to depressed persons, and in the sense of a generalization effect, there was also a significant reduction in their assessment of the danger and unpredictability of schizophrenic patients. As against this, students who did only their compulsory practical developed an even stronger stereotype of schizophrenic patients as being dangerous and unpredictable. Additionally, contact with a depressed person during practical resulted in a better assessment of the treatability of this illness. Students who participated in the compulsory practical alone reduced their fear towards depressed persons and increased prosocial feelings towards schizophrenic patients. Compared to students who did only the psychiatry practical, additional contact with a depressed person resulted in major changes in attitude, in particular, in relation to the stereotype of schizophrenic patients being "dangerous". Thus, enabling direct contact with patients during psychiatry practical represents a meaningful and effective anti-stigma intervention.

Depression and Anxiety in Greek Male Veterans After Retirement.

PubMed

Kypraiou, Aspa; Sarafis, Pavlos; Tsounis, Andreas; Bitsi, Georgia; Andreanides, Elias; Constantinidis, Theodoros; Kotrotsiou, Evaggelia; Malliarou, Maria

2017-03-01

Retirement is a turning point in human life, resulting in changes to physical and mental health status. The aim of this study was to examine the factors that are related with depression and anxiety symptoms in Greek male veterans after retirement. A total of 502 veterans participated in a cross-sectional study. Beck Depression Inventory for depression assessment and Spielberger Trait Anxiety Inventory for anxiety assessment were used. The Ethics Committee of the Technological Educational Institution of Thessaly granted permission for conducting the research, and informed consent was obtained from all the participants. Questionnaires were filled in electronically using a platform that was made for the specific research. Mean values, standard deviations, Student t test, nonparametric cluster analysis of variance, Pearson's and Spearman's coefficients, and linear regression were conducted, using the Statistical Program for Social Services version 19.0. Severe depression was found in 3.8% of veterans with a mean score of 6.78, whereas 23.2% displayed mild-to-moderate symptoms of depression. Mean score of state anxiety was found to be 36.55 and of trait anxiety 33.60. Veterans who were discharged because of stressful working conditions, those who have a high body mass index, consume regularly alcohol, smoke and were not satisfied by changes in their everyday life after retirement had significantly more symptoms of depression and anxiety, although those who retired because of family problems had significantly more symptoms of depression. Multivariate linear regression analyses indicated that dissatisfaction related to lifestyle changes had statistically significant effect on symptoms of depression and anxiety, and stressful working conditions as a leading cause for retirement had statistically significant effect on depression. Finally, according to linear regression analyses results, those who were satisfied with their professional evolution had 1.80 times lower score in depression scale. The sense of satisfaction derived from fulfilling work-related expectations when finishing a career, with changes in everyday life, and smoking and alcohol reduction, may contribute to a better adjustment during the retirement period. To our knowledge, this was the first study examining depression and anxiety levels in Greek veterans, and the sample size was large, covering a randomly chosen veteran population. On the other, it was a convenient sample, although the study results could not focus on direct-term effects of retirement (up to 3 years of retirement from active service). Primitive data may be used for research directions in the future. Reprint & Copyright © 2017 Association of Military Surgeons of the U.S.

A supplementary functional connectivity microstate attached to the default mode network in depression revealed by resting-state magnetoencephalography.

PubMed

Zhang, Siqi; Tian, Shui; Chattun, Mohammad Ridwan; Tang, Hao; Yan, Rui; Bi, Kun; Yao, Zhijian; Lu, Qing

2018-04-20

Default mode network (DMN) has discernable involvement in the representation of negative, self-referential information in depression. Both increased and decreased resting-state functional connectivity between the anterior and posterior DMN have been observed in depression. These conflicting connectivity differences necessitated further exploration of the resting-state DMN dysfunction in depression. Hence, we investigated the time-varying dynamic interactions within the DMN via functional connectivity microstates in a sub-second level. 25 patients with depression and 25 matched healthy controls were enrolled in the MEG analysis. Spherical K-means algorithms embedded within an iterative optimization frame were applied to sliding windowed correlation matrices, resulting in sub-second alternations of two functional connectivity microstates for groups and highlighting the presence of functional variability. In the power dominant state, depressed patients showed a transient decreased pattern that reflected inter/intra-subnetwork deregulation. A supplementary negatively correlated state simultaneously presented with increased connectivity between the ventromedial prefrontal cortex (vmPFC) and the posterior cingulate cortex (PCC), two core nodes for the anterior and posterior DMN respectively. Additionally, depressed patients stayed longer in the supplementary microstate compared to healthy controls. During the time spent in the supplementary microstate, an attempt to compensate for the aberrant effect of vmPFC on PCC across DMN subnetworks was possibly made to balance the self-related processes disturbed by the dominant pattern. The functional compensation mechanism of the supplementary microstate attached to the dominant disrupted one provided a possible explanation to the existing inconsistent findings between the anterior and posterior DMN in depression. Copyright © 2018 Elsevier Inc. All rights reserved.

Adaptive screening for depression--recalibration of an item bank for the assessment of depression in persons with mental and somatic diseases and evaluation in a simulated computer-adaptive test environment.

PubMed

Forkmann, Thomas; Kroehne, Ulf; Wirtz, Markus; Norra, Christine; Baumeister, Harald; Gauggel, Siegfried; Elhan, Atilla Halil; Tennant, Alan; Boecker, Maren

2013-11-01

This study conducted a simulation study for computer-adaptive testing based on the Aachen Depression Item Bank (ADIB), which was developed for the assessment of depression in persons with somatic diseases. Prior to computer-adaptive test simulation, the ADIB was newly calibrated. Recalibration was performed in a sample of 161 patients treated for a depressive syndrome, 103 patients from cardiology, and 103 patients from otorhinolaryngology (mean age 44.1, SD=14.0; 44.7% female) and was cross-validated in a sample of 117 patients undergoing rehabilitation for cardiac diseases (mean age 58.4, SD=10.5; 24.8% women). Unidimensionality of the itembank was checked and a Rasch analysis was performed that evaluated local dependency (LD), differential item functioning (DIF), item fit and reliability. CAT-simulation was conducted with the total sample and additional simulated data. Recalibration resulted in a strictly unidimensional item bank with 36 items, showing good Rasch model fit (item fit residuals<|2.5|) and no DIF or LD. CAT simulation revealed that 13 items on average were necessary to estimate depression in the range of -2 and +2 logits when terminating at SE≤0.32 and 4 items if using SE≤0.50. Receiver Operating Characteristics analysis showed that θ estimates based on the CAT algorithm have good criterion validity with regard to depression diagnoses (Area Under the Curve≥.78 for all cut-off criteria). The recalibration of the ADIB succeeded and the simulation studies conducted suggest that it has good screening performance in the samples investigated and that it may reasonably add to the improvement of depression assessment. © 2013.

Clinical vs. Self-report Versions of the Quick Inventory of Depressive Symptomatology in a Public Sector Sample

PubMed Central

Bernstein, Ira H.; Rush, A. John; Carmody, Thomas J.; Woo, Ada; Trivedi, Madhukar H.

2007-01-01

Objectives Recent work using classical test theory (CTT) and item response theory (IRT) has found that the self-report (QIDS-SR16) and clinician-rated (QIDS-C16) versions of the 16-item Quick Inventory of Depressive Symptomatology were generally comparable in outpatients with nonpsychotic major depressive disorder (MDD). This report extends this comparison to a less well-educated, more treatment-resistant sample that included more ethnic/racial minorities using IRT and selected classical test analyses. Methods The QIDS-SR16 and QIDS-C16 were obtained in a sample of 441 outpatients with nonpsychotic MDD seen in the public sector in the Texas Medication Algorithm Project (TMAP). The Samejima graded response IRT model was used to compare the QIDS-SR16 and QIDS-C16. Results The nine symptom domains in the QIDS-SR16 and QIDS-C16 related well to overall depression. The slopes of the item response functions a), which index the strength of relationship between overall depression and each symptom, were extremely similar with the two measures. Likewise, the CTT and IRT indices of symptom frequency (item means and locations of the item response functions, bi) were also similar with these two measures. For example, sad mood and difficulty with concentration/decision making were highly related to the overall depression severity with both the QIDS-C16 and QIDS-SR16. Likewise, sleeping difficulties were commonly reported, even though they were not as strongly related to overall magnitude of depression. Conclusion In this less educated, socially disadvantaged sample, differences between the QIDS-C16 and QIDS-SR16 were minor. The QIDS-SR16 is a satisfactory substitute for the more time-consuming QIDS-C16 in a broad range of adult, nonpsychotic, depressed outpatients. PMID:16716351

Clinical vs. self-report versions of the quick inventory of depressive symptomatology in a public sector sample.

PubMed

Bernstein, Ira H; Rush, A John; Carmody, Thomas J; Woo, Ada; Trivedi, Madhukar H

2007-01-01

Recent work using classical test theory (CTT) and item response theory (IRT) has found that the self-report (QIDS-SR(16)) and clinician-rated (QIDS-C(16)) versions of the 16-item quick inventory of depressive symptomatology were generally comparable in outpatients with nonpsychotic major depressive disorder (MDD). This report extends this comparison to a less well-educated, more treatment-resistant sample that included more ethnic/racial minorities using IRT and selected classical test analyses. The QIDS-SR(16) and QIDS-C(16) were obtained in a sample of 441 outpatients with nonpsychotic MDD seen in the public sector in the Texas Medication Algorithm Project (TMAP). The Samejima graded response IRT model was used to compare the QIDS-SR(16) and QIDS-C(16). The nine symptom domains in the QIDS-SR(16) and QIDS-C(16) related well to overall depression. The slopes of the item response functions, a, which index the strength of relationship between overall depression and each symptom, were extremely similar with the two measures. Likewise, the CTT and IRT indices of symptom frequency (item means and locations of the item response functions, b(i) were also similar with these two measures. For example, sad mood and difficulty with concentration/decision making were highly related to the overall depression severity with both the QIDS-C(16) and QIDS-SR(16). Likewise, sleeping difficulties were commonly reported, even though they were not as strongly related to overall magnitude of depression. In this less educated, socially disadvantaged sample, differences between the QIDS-C(16) and QIDS-SR(16) were minor. The QIDS-SR(16) is a satisfactory substitute for the more time-consuming QIDS-C(16) in a broad range of adult, nonpsychotic, depressed outpatients.

What we talk about when we talk about depression: doctor-patient conversations and treatment decision outcomes

PubMed Central

Karasz, Alison; Dowrick, Christopher; Byng, Richard; Buszewicz, Marta; Ferri, Lucia; Hartman, Tim C Olde; van Dulmen, Sandra; van Weel-Baumgarten, Evelyn; Reeve, Joanne

2011-01-01

Background Efforts to address depression in primary care settings have focused on the introduction of care guidelines emphasising pharmacological treatment. To date, physician adherence remains low. Little is known of the types of information exchange or other negotiations in doctor-patient consultations about depression that influence physician decision making about treatment. Aim The study sought to understand conversational influences on physician decision making about treatment for depression. Design A secondary analysis of consultation data collected in other studies. Using a maximum variation sampling strategy, 30 transcripts of primary care consultations about distress or depression were selected from datasets collected in three countries. Transcripts were analysed to discover factors associated with prescription of medication. Method The study employed two qualitative analysis strategies: a micro-analysis approach, which examines how conversation partners shape the dialogue towards pragmatic goals; and a narrative analysis approach of the problem presentation. Results Patients communicated their conceptual representations of distress at the outset of each consultation. Concepts of depression were communicated through the narrative form of the problem presentation. Three types of narratives were identified: those emphasising symptoms, those emphasising life situations, and mixed narratives. Physician decision making regarding medication treatment was strongly associated with the form of the patient’s narrative. Physicians made few efforts to persuade patients to accept biomedical attributions or treatments. Conclusion Results of the study provide insight into why adherence to depression guidelines remains low. Data indicate that patient agendas drive the ‘action’ in consultations about depression. Physicians appear to be guided by common-sense decision-making algorithms emphasising patients’ views and preferences. PMID:22520683

Relationship between cardiac vagal activity and mood congruent memory bias in major depression.

PubMed

Garcia, Ronald G; Valenza, Gaetano; Tomaz, Carlos A; Barbieri, Riccardo

2016-01-15

Previous studies suggest that autonomic reactivity during encoding of emotional information could modulate the neural processes mediating mood-congruent memory. In this study, we use a point-process model to determine dynamic autonomic tone in response to negative emotions and its influence on long-term memory of major depressed subjects. Forty-eight patients with major depression and 48 healthy controls were randomly assigned to either neutral or emotionally arousing audiovisual stimuli. An adaptive point-process algorithm was applied to compute instantaneous estimates of the spectral components of heart rate variability [Low frequency (LF), 0.04-0.15 Hz; High frequency (HF), 0.15-0.4 Hz]. Three days later subjects were submitted to a recall test. A significant increase in HF power was observed in depressed subjects in response to the emotionally arousing stimulus (p=0.03). The results of a multivariate analysis revealed that the HF power during the emotional segment of the stimulus was independently associated with the score of the recall test in depressed subjects, after adjusting for age, gender and educational level (Coef. 0.003, 95%CI, 0.0009-0.005, p=0.008). These results could only be interpreted as responses to elicitation of specific negative emotions, the relationship between HF changes and encoding/recall of positive stimuli should be further examined. Alterations on parasympathetic response to emotion are involved in the mood-congruent cognitive bias observed in major depression. These findings are clinically relevant because it could constitute the mechanism by which depressed patients maintain maladaptive patterns of negative information processing that trigger and sustain depressed mood. Copyright © 2015 Elsevier B.V. All rights reserved.

Pre-Sepsis Depressive Symptoms Are Associated with Incident Cognitive Impairment in Survivors of Severe Sepsis: A Prospective Cohort Study of Older Americans

PubMed Central

Davydow, Dimitry S.; Hough, Catherine L.; Langa, Kenneth M.; Iwashyna, Theodore J.

2012-01-01

Objectives To test the hypothesis that pre-sepsis depressive symptoms are associated with an increased risk of new cognitive impairment in severe sepsis survivors. Design Prospective longitudinal cohort study. Setting Population-based cohort of older U.S. adults interviewed as part of the Health and Retirement Study (1998–2006). Participants 447 patients with normal pre-sepsis cognition who survived 540 hospitalizations for severe sepsis and completed at least one follow-up interview. Measurements Severe sepsis was identified using a validated algorithm in Medicare claims. Depressive symptoms were assessed prospectively with a modified version of the Center for Epidemiologic Studies Depression Scale. Cognitive function was assessed using versions of the Telephone Interview for Cognitive Status (TICS). We used logistic regression with robust standard errors to examine associations between substantial depressive symptoms at any interview before sepsis and incident cognitive impairment (either mild or moderate-to-severe cognitive impairment) at any interview after sepsis. Results The prevalence of substantial depressive symptoms in those with normal cognition before sepsis was 38% (95%Confidence Interval [CI]: 34%, 42%). After severe sepsis, 18% (95%CI: 15%, 20%) of survivors had incident cognitive impairment. In unadjusted analyses, pre-sepsis substantial depressive symptoms were associated with post-sepsis incident cognitive impairment (Odds Ratio [OR] 2.56, 95%CI: 1.53, 4.27). After adjustment for demographics, health-risk behaviors, clinical characteristics of the sepsis episode, and pre-sepsis TICS scores, pre-sepsis substantial depressive symptoms remained the strongest factor associated with post-sepsis incident cognitive impairment (OR 2.58, 95%CI: 1.45, 4.59). Conclusion Pre-sepsis substantial depressive symptoms are independently associated with incident post-sepsis cognitive impairment. Depressed older adults may be particularly at risk for developing cognitive impairment after a serious medical illness. PMID:23176643

Depression care management for adults older than 60 years in primary care clinics in urban China: a cluster-randomised trial.

PubMed

Chen, Shulin; Conwell, Yeates; He, Jin; Lu, Naiji; Wu, Jiayan

2015-04-01

China's national health policy classifies depression as a chronic disease that should be managed in primary care settings. In some high-income countries use of chronic disease management principles and primary care-based collaborative-care models have improved outcomes for late-life depression; however, this approach has not yet been tested in China. We aimed to assess whether use of a collaborative-care depression care management (DCM) intervention could improve outcomes for Chinese adults with depression aged 60 years and older. Between Jan 17, 2011, [corrected] and Nov 30, 2013, we did a cluster-randomised trial in patients from primary care centre clinics in Shangcheng district of Hangzhou city in eastern China. We randomly assigned (1:1) clinics to either DCM (involving training for physicians in use of treatment guidelines, training for primary care nurses to function as care managers, and consultation with psychiatrists as support) or to give enhanced care as usual to all eligible patients aged 60 years and older with major depressive disorder. Clinics were chosen randomly for inclusion from all primary care clinics in the district by computer algorithm and then randomly allocated depression care interventions remotely by computer algorithm. Physicians, study personnel, and patients were not masked to clinic assignment. Our primary outcome was difference in Hamilton Depression Rating Scale (HAMD) score using data for clusters at baseline and 3, 6, and 12 month follow-up in a mixed-effects model of the intention-to-treat population. We originally aimed to analyse outcomes at 24 months, however the difference between groups at 12 months was large and funding was insufficient to continue to 24 months, therefore we decided to end the trial at 12 months. This trial is registered with ClinicalTrials.gov, number NCT01287494. Of 34 primary care clinics in Shangcheng district, 16 were randomly chosen. We randomly assigned eight clinics to the DCM intervention (164 patients enrolled) and eight primary care clinics to enhanced care as usual (162 patients). There were no major differences in baseline demographic and clinical variables between the groups of patients for each intervention. Over the 12 months, patients in clinics assigned to DCM had a significantly greater reduction in HAMD score than did those in practices assigned to enhanced care as usual (estimated between group difference -6·5 [95% CI -7·1 to -5·9]; Cohen's d 0·8 [95% CI 0·8-0·9]; p<0·0001). The intercluster correlation for change in HAMD total score was 0·07 (95% CI 0·06-0·08). There were no study-related adverse events in either group. Clinical outcomes of Chinese adults older than 60 years who had major depression were improved when their primary care clinic used DCM. Primary care-based collaborative management of depression is promising to address this pressing public health need in China. National Institutes of Health, Program for New Century Excellent Talents in Universities of China, Ministry of Education, China. Copyright © 2015 Elsevier Ltd. All rights reserved.

Evolution of Quasiparticle Excitations in a Doped Hubbard Model

NASA Astrophysics Data System (ADS)

Hess, D. W.; Deisz, J. J.; Serene, J. W.

1997-03-01

Self-consistent calculations in the fluctuation exchange approximation for the 2D Hubbard model at half-filling show the evolution of anomalous structure in the self-energy at low energy with decreasing temperature. This structure is inconsistent with a Fermi liquid interpretation of evolving quasiparticle excitations.(J.J. Deisz, D.W. Hess, J.W. Serene, Phys. Rev. Lett. 76), 1312 (1996). Here we present calculations for a doped 2D Hubbard model with U=4t, n = 0.87 and for temperatures down to ~ 0.01t. Unlike the self-energy of the half-filled case, the slope of Re Σ(k_F, \\varepsilon) remains negative and | Im Σ(k_F, \\varepsilon)| shows no anomalous structure and is roughly parabolic at low energy with a very small magnitude at \\varepsilon = 0. In contrast to the `shadows' of antiferromagnetic order observed for half-filling, structure observed in the single-particle spectral function for momenta not on the Fermi surface are consistent with the characteristic depression at \\varepsilon =0 expected for an evolving Fermi liquid.(See e.g.) P.G. Mc Queen, D.W. Hess, J.W. Serene, Phys. Rev. Lett. 71, 129 (1993). No anomalous structure associated with incipient antiferromagnetic order is evident in the momentum distribution function.

Retention time alignment of LC/MS data by a divide-and-conquer algorithm.

PubMed

Zhang, Zhongqi

2012-04-01

Liquid chromatography-mass spectrometry (LC/MS) has become the method of choice for characterizing complex mixtures. These analyses often involve quantitative comparison of components in multiple samples. To achieve automated sample comparison, the components of interest must be detected and identified, and their retention times aligned and peak areas calculated. This article describes a simple pairwise iterative retention time alignment algorithm, based on the divide-and-conquer approach, for alignment of ion features detected in LC/MS experiments. In this iterative algorithm, ion features in the sample run are first aligned with features in the reference run by applying a single constant shift of retention time. The sample chromatogram is then divided into two shorter chromatograms, which are aligned to the reference chromatogram the same way. Each shorter chromatogram is further divided into even shorter chromatograms. This process continues until each chromatogram is sufficiently narrow so that ion features within it have a similar retention time shift. In six pairwise LC/MS alignment examples containing a total of 6507 confirmed true corresponding feature pairs with retention time shifts up to five peak widths, the algorithm successfully aligned these features with an error rate of 0.2%. The alignment algorithm is demonstrated to be fast, robust, fully automatic, and superior to other algorithms. After alignment and gap-filling of detected ion features, their abundances can be tabulated for direct comparison between samples.

A novel community detection method in bipartite networks

NASA Astrophysics Data System (ADS)

Zhou, Cangqi; Feng, Liang; Zhao, Qianchuan

2018-02-01

Community structure is a common and important feature in many complex networks, including bipartite networks, which are used as a standard model for many empirical networks comprised of two types of nodes. In this paper, we propose a two-stage method for detecting community structure in bipartite networks. Firstly, we extend the widely-used Louvain algorithm to bipartite networks. The effectiveness and efficiency of the Louvain algorithm have been proved by many applications. However, there lacks a Louvain-like algorithm specially modified for bipartite networks. Based on bipartite modularity, a measure that extends unipartite modularity and that quantifies the strength of partitions in bipartite networks, we fill the gap by developing the Bi-Louvain algorithm that iteratively groups the nodes in each part by turns. This algorithm in bipartite networks often produces a balanced network structure with equal numbers of two types of nodes. Secondly, for the balanced network yielded by the first algorithm, we use an agglomerative clustering method to further cluster the network. We demonstrate that the calculation of the gain of modularity of each aggregation, and the operation of joining two communities can be compactly calculated by matrix operations for all pairs of communities simultaneously. At last, a complete hierarchical community structure is unfolded. We apply our method to two benchmark data sets and a large-scale data set from an e-commerce company, showing that it effectively identifies community structure in bipartite networks.

REDUCING SUICIDAL IDEATION AND DEPRESSION IN OLDER PRIMARY CARE PATIENTS: 24-MONTH OUTCOMES OF THE PROSPECT STUDY

PubMed Central

Alexopoulos, George S.; Reynolds, Charles F.; Bruce, Martha L.; Katz, Ira R.; Raue, Patrick J.; Mulsant, Benoit H.; Oslin, David; Have, Thomas Ten

2010-01-01

Objective The PROSPECT Study evaluated the impact of a care management intervention on suicidal ideation and depression in older primary care patients. This is the first report of outcomes over a 2-year period. Method The subjects (N=599) were older (>=60 years) patients with major or minor depression selected after screening 9,072 randomly identified patients of 20 primary care practices randomly assigned to the PROSPECT intervention or usual care. The intervention consisted of services of 15 trained care managers, who offered algorithm-based recommendations to physicians and helped patients with treatment adherence over 24 months. Results Intervention patients had a higher likelihood to receive antidepressants and or psychotherapy (84.9–89% vs. 49–59%) and a 2.2 times greater decline in suicidal ideation than usual care patients over 24 months. Treatment response occurred earlier in intervention patients and continued to increase from the 18th to the 24th month, while there was no appreciable increase in usual care patients during the same period. Among patients with major depression, a greater number achieved remission in the intervention than the usual care group at 4 (26.6 vs. 15.2%), 8 (36% vs. 22.5%), and 24 (45.4% vs. 31.5%) months. Patients with minor depression had favorable outcomes regardless of treatment assignment. Conclusions Sustained collaborative care maintains high utilization of antidepressant treatment, reduces suicidal ideation, and improves the outcomes of major depression over two years. These observations suggest that sustained collaborative care increases depression-free days. PMID:19528195

Remission in Depressed Geriatric Primary Care Patients: A Report From the PROSPECT Study

PubMed Central

Alexopoulos, George S.; Katz, Ira R.; Bruce, Martha L.; Heo, Moonseong; Have, Thomas Ten; Raue, Patrick; Bogner, Hillary R.; Schulberg, Herbert C.; Mulsant, Benoit H.; Reynolds, Charles F.

2009-01-01

Objective This study compared time to first remission for elderly depressed patients in primary care for practices that implemented a care management model versus those providing usual care. In addition, it sought to identify risk factors for nonremission that could guide treatment planning and referral to care managers or specialists. Method Prevention of Suicide in Primary Care Elderly: Collaborative Trial (PROSPECT) data were analyzed. Participants were older patients (≥60 years) selected following screening of 9,072 randomly identified primary care patients. The present analysis examined patients with major depression and a 24-item Hamilton Depression Rating Scale score of 18 or greater who were followed for at least 4 months (N=215). Primary care practices were randomly assigned to offer the PROSPECT intervention or usual care. The intervention consisted of services of trained care managers, who offered algorithm-based recommendations to physicians and helped patients with treatment adherence over 18 months. Results First remission occurred earlier and was more common among patients receiving the intervention than among those receiving usual care. For all patients, limitations in physical and emotional functions predicted poor remission rate. Patients experiencing hopelessness were more likely to achieve remission if treated in intervention practices. Similarly, the intervention was more effective in patients with low baseline anxiety. Conclusions Longitudinal assessment of depression, hopelessness, anxiety, and physical and emotional functional limitations in depressed older primary care patients is critical. Patients with prominent symptoms or impairment in these areas may be candidates for care management or mental health care, since they are at risk for remaining depressed and disabled. PMID:15800144

Cost-effectiveness of Collaborative Care for Depression in Human Immunodeficiency Virus Clinics

PubMed Central

Fortney, John C; Gifford, Allen L; Rimland, David; Monson, Thomas; Rodriguez-Barradas, Maria C.; Pyne, Jeffrey M

2015-01-01

Objective To examine the cost-effectiveness of the HITIDES intervention. Design Randomized controlled effectiveness and implementation trial comparing depression collaborative care with enhanced usual care. Setting Three Veterans Health Administration (VHA) HIV clinics in the Southern US. Subjects 249 HIV-infected patients completed the baseline interview; 123 were randomized to the intervention and 126 to usual care. Intervention HITIDES consisted of an off-site HIV depression care team that delivered up to 12 months of collaborative care. The intervention used a stepped-care model for depression treatment and specific recommendations were based on the Texas Medication Algorithm Project and the VA/Department of Defense Depression Treatment Guidelines. Main outcome measure(s) Quality-adjusted life years (QALYs) were calculated using the 12-Item Short Form Health Survey, the Quality of Well Being Scale, and by converting depression-free days to QALYs. The base case analysis used outpatient, pharmacy, patient, and intervention costs. Cost-effectiveness was calculated using incremental cost effectiveness ratios (ICERs) and net health benefit (NHB). ICER distributions were generated using nonparametric bootstrap with replacement sampling. Results The HITIDES intervention was more effective and cost-saving compared to usual care in 78% of bootstrapped samples. The intervention NHB was positive and therefore deemed cost-effective using an ICER threshold of $50,000/QALY. Conclusions In HIV clinic settings this intervention was more effective and cost-saving compared to usual care. Implementation of off-site depression collaborative care programs in specialty care settings may be a strategy that not only improves outcomes for patients, but also maximizes the efficient use of limited healthcare resources. PMID:26102447

Impact of dissociation on treatment of depressive and anxiety spectrum disorders with and without personality disorders

PubMed Central

Prasko, Jan; Grambal, Ales; Kasalova, Petra; Kamardova, Dana; Ociskova, Marie; Holubova, Michaela; Vrbova, Kristyna; Sigmundova, Zuzana; Latalova, Klara; Slepecky, Milos; Zatkova, Marta

2016-01-01

Objective The central goal of the study was to analyze the impact of dissociation on the treatment effectiveness in patients with anxiety/neurotic spectrum and depressive disorders with or without comorbid personality disorders. Methods The research sample consisted of inpatients who were hospitalized in the psychiatric department and met the ICD-10 criteria for diagnosis of depressive disorder, panic disorder, generalized anxiety disorder, mixed anxiety–depressive disorder, agoraphobia, social phobia, obsessive compulsive disorder, posttraumatic stress disorder, adjustment disorders, dissociative/conversion disorders, somatoform disorder, or other anxiety/neurotic spectrum disorder. The participants completed these measures at the start and end of the therapeutic program – Beck Depression Inventory, Beck Anxiety Inventory, a subjective version of Clinical Global Impression-Severity, Sheehan Patient-Related Anxiety Scale, and Dissociative Experience Scale. Results A total of 840 patients with anxiety or depressive spectrum disorders, who were resistant to pharmacological treatment on an outpatient basis and were referred for hospitalization for the 6-week complex therapeutic program, were enrolled in this study. Of them, 606 were statistically analyzed. Data from the remaining 234 (27.86%) patients were not used because of various reasons (103 prematurely finished the program, 131 did not fill in most of the questionnaires). The patients’ mean ratings on all measurements were significantly reduced during the treatment. Also, 67.5% reached at least minimal improvement (42.4% showed moderate and more improvement, 35.3% of the patients reached remission). The patients without comorbid personality disorder improved more significantly in the reduction of depressive symptoms than those with comorbid personality disorder. However, there were no significant differences in change in anxiety levels and severity of the mental issues between the patients with and without personality disorders. Higher degree of dissociation at the beginning of the treatment predicted minor improvement, and also, higher therapeutic change was connected to greater reduction of the dissociation level. Conclusion Dissociation is an important factor that influences the treatment effectiveness in anxiety/depression patients with or without personality disorders resistant to previous treatment. Targeting dissociation in the treatment of these disorders may be beneficial. PMID:27799774

Impact of dissociation on treatment of depressive and anxiety spectrum disorders with and without personality disorders.

PubMed

Prasko, Jan; Grambal, Ales; Kasalova, Petra; Kamardova, Dana; Ociskova, Marie; Holubova, Michaela; Vrbova, Kristyna; Sigmundova, Zuzana; Latalova, Klara; Slepecky, Milos; Zatkova, Marta

2016-01-01

The central goal of the study was to analyze the impact of dissociation on the treatment effectiveness in patients with anxiety/neurotic spectrum and depressive disorders with or without comorbid personality disorders. The research sample consisted of inpatients who were hospitalized in the psychiatric department and met the ICD-10 criteria for diagnosis of depressive disorder, panic disorder, generalized anxiety disorder, mixed anxiety-depressive disorder, agoraphobia, social phobia, obsessive compulsive disorder, posttraumatic stress disorder, adjustment disorders, dissociative/conversion disorders, somatoform disorder, or other anxiety/neurotic spectrum disorder. The participants completed these measures at the start and end of the therapeutic program - Beck Depression Inventory, Beck Anxiety Inventory, a subjective version of Clinical Global Impression-Severity, Sheehan Patient-Related Anxiety Scale, and Dissociative Experience Scale. A total of 840 patients with anxiety or depressive spectrum disorders, who were resistant to pharmacological treatment on an outpatient basis and were referred for hospitalization for the 6-week complex therapeutic program, were enrolled in this study. Of them, 606 were statistically analyzed. Data from the remaining 234 (27.86%) patients were not used because of various reasons (103 prematurely finished the program, 131 did not fill in most of the questionnaires). The patients' mean ratings on all measurements were significantly reduced during the treatment. Also, 67.5% reached at least minimal improvement (42.4% showed moderate and more improvement, 35.3% of the patients reached remission). The patients without comorbid personality disorder improved more significantly in the reduction of depressive symptoms than those with comorbid personality disorder. However, there were no significant differences in change in anxiety levels and severity of the mental issues between the patients with and without personality disorders. Higher degree of dissociation at the beginning of the treatment predicted minor improvement, and also, higher therapeutic change was connected to greater reduction of the dissociation level. Dissociation is an important factor that influences the treatment effectiveness in anxiety/depression patients with or without personality disorders resistant to previous treatment. Targeting dissociation in the treatment of these disorders may be beneficial.