Analysis of soybean production and import trends and its import factors in Indonesia
NASA Astrophysics Data System (ADS)
Ningrum, I. H.; Irianto, H.; Riptanti, E. W.
2018-03-01
This study aims to analyze the factors affecting soybean imports in Indonesia and to know the trend and projection of Indonesian soybean production as well as the import in 2016-2020. The basic method used in this research is the description analysis method. The data used are secondary data in the form of time series data from 1979-2015. Methods of data analysis using simultaneous equations model with 2SLS (Two Stage Least Square) method and Trend analysis. The results showed that the factors affecting soybean imports in Indonesia are consumption and production. Consumption has positive effect while production is negatively affected. The percentage changed in soybean imports is greater than the percentage change in consumption and production of soybeans. Consumption is positively influenced by imports and production, while production is influenced positively by consumption and negative by imports. The production trend of soybean in 2016-2020 has a tendency to increase with a percentage of 11.18% per year. Production in 2016 is projected at 1.110.537 tons while in 2020 it will increase to 1,721,350 tons. The import trend in 2016-2020 has a tendency to increase with an average percentage of 4.13% per year. Import in 2016 is projected at 2.224.188 tons while in 2020 it will increase to 2.611.270 tons.
Listening as a Method of Learning a Foreign Language at the Non-Language Faculty of the University
ERIC Educational Resources Information Center
Kondrateva, Irina G.; Safina, Minnisa S.; Valeev, Agzam A.
2016-01-01
Learning a foreign language is becoming an increasingly important with Russia's integration into the world community. In this regard, increased requirements for the educational process and the development of new innovative teaching methods meet the requirements of the time. One of the important aspects of learning a foreign language is listening…
Shutdown Dose Rate Analysis Using the Multi-Step CADIS Method
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ibrahim, Ahmad M.; Peplow, Douglas E.; Peterson, Joshua L.
2015-01-01
The Multi-Step Consistent Adjoint Driven Importance Sampling (MS-CADIS) hybrid Monte Carlo (MC)/deterministic radiation transport method was proposed to speed up the shutdown dose rate (SDDR) neutron MC calculation using an importance function that represents the neutron importance to the final SDDR. This work applied the MS-CADIS method to the ITER SDDR benchmark problem. The MS-CADIS method was also used to calculate the SDDR uncertainty resulting from uncertainties in the MC neutron calculation and to determine the degree of undersampling in SDDR calculations because of the limited ability of the MC method to tally detailed spatial and energy distributions. The analysismore » that used the ITER benchmark problem compared the efficiency of the MS-CADIS method to the traditional approach of using global MC variance reduction techniques for speeding up SDDR neutron MC calculation. Compared to the standard Forward-Weighted-CADIS (FW-CADIS) method, the MS-CADIS method increased the efficiency of the SDDR neutron MC calculation by 69%. The MS-CADIS method also increased the fraction of nonzero scoring mesh tally elements in the space-energy regions of high importance to the final SDDR.« less
Radiographic methods of wear analysis in total hip arthroplasty.
Rahman, Luthfur; Cobb, Justin; Muirhead-Allwood, Sarah
2012-12-01
Polyethylene wear is an important factor in failure of total hip arthroplasty (THA). With increasing numbers of THAs being performed worldwide, particularly in younger patients, the burden of failure and revision arthroplasty is increasing, as well, along with associated costs and workload. Various radiographic methods of measuring polyethylene wear have been developed to assist in deciding when to monitor patients more closely and when to consider revision surgery. Radiographic methods that have been developed to measure polyethylene wear include manual and computer-assisted plain radiography, two- and three-dimensional techniques, and radiostereometric analysis. Some of these methods are important in both clinical and research settings. CT has the potential to provide additional information on component orientation and enables assessment of periprosthetic osteolysis, which is an important consequence of polyethylene wear.
ERIC Educational Resources Information Center
Eryilmaz, Ali
2015-01-01
The aim of the present study is investigate that the effectiveness of a teaching method which is based on subjective well-being increasing activities and engagement increasing activities, has been developed for university students in the present study. The method of the present study is a mixed method. Thus, the most important feature of it has…
Graves, Tabitha A.; Royle, J. Andrew; Kendall, Katherine C.; Beier, Paul; Stetz, Jeffrey B.; Macleod, Amy C.
2012-01-01
Using multiple detection methods can increase the number, kind, and distribution of individuals sampled, which may increase accuracy and precision and reduce cost of population abundance estimates. However, when variables influencing abundance are of interest, if individuals detected via different methods are influenced by the landscape differently, separate analysis of multiple detection methods may be more appropriate. We evaluated the effects of combining two detection methods on the identification of variables important to local abundance using detections of grizzly bears with hair traps (systematic) and bear rubs (opportunistic). We used hierarchical abundance models (N-mixture models) with separate model components for each detection method. If both methods sample the same population, the use of either data set alone should (1) lead to the selection of the same variables as important and (2) provide similar estimates of relative local abundance. We hypothesized that the inclusion of 2 detection methods versus either method alone should (3) yield more support for variables identified in single method analyses (i.e. fewer variables and models with greater weight), and (4) improve precision of covariate estimates for variables selected in both separate and combined analyses because sample size is larger. As expected, joint analysis of both methods increased precision as well as certainty in variable and model selection. However, the single-method analyses identified different variables and the resulting predicted abundances had different spatial distributions. We recommend comparing single-method and jointly modeled results to identify the presence of individual heterogeneity between detection methods in N-mixture models, along with consideration of detection probabilities, correlations among variables, and tolerance to risk of failing to identify variables important to a subset of the population. The benefits of increased precision should be weighed against those risks. The analysis framework presented here will be useful for other species exhibiting heterogeneity by detection method.
Implicity restarted Arnoldi/Lanczos methods for large scale eigenvalue calculations
NASA Technical Reports Server (NTRS)
Sorensen, Danny C.
1996-01-01
Eigenvalues and eigenfunctions of linear operators are important to many areas of applied mathematics. The ability to approximate these quantities numerically is becoming increasingly important in a wide variety of applications. This increasing demand has fueled interest in the development of new methods and software for the numerical solution of large-scale algebraic eigenvalue problems. In turn, the existence of these new methods and software, along with the dramatically increased computational capabilities now available, has enabled the solution of problems that would not even have been posed five or ten years ago. Until very recently, software for large-scale nonsymmetric problems was virtually non-existent. Fortunately, the situation is improving rapidly. The purpose of this article is to provide an overview of the numerical solution of large-scale algebraic eigenvalue problems. The focus will be on a class of methods called Krylov subspace projection methods. The well-known Lanczos method is the premier member of this class. The Arnoldi method generalizes the Lanczos method to the nonsymmetric case. A recently developed variant of the Arnoldi/Lanczos scheme called the Implicitly Restarted Arnoldi Method is presented here in some depth. This method is highlighted because of its suitability as a basis for software development.
Providing Evidence in the Moral Domain
ERIC Educational Resources Information Center
Cooper, Diane L.; Liddell, Debora L.; Davis, Tiffany J.; Pasquesi, Kira
2012-01-01
In this era of increased accountability, it is important to consider how student affairs researches and assesses the outcomes of efforts to increase moral competence. This article examines both qualitative and quantitative inquiry methods for measuring moral development. The authors review the instrumentation and methods typically used to measure…
Interventions to Improve Communication
Paul, Rhea
2008-01-01
SYNOPSIS It is clear that children with autism benefit from intensive, early intervention that focuses on increasing the frequency, form, and function of communicative acts. Intervention methods that draw from a range of philosophies and make use of varying degrees of adult direction have been shown to be effective in increasing language and communicative behaviors, although direct comparisons among methods, controlled studies with random assignment to treatments, and long-term outcome studies are, as yet, lacking. Available evidence shows that highly structured behavioral methods have important positive consequences for these children, particularly in eliciting first words. However, the limitation of these methods in maintenance and generalization of skills suggests that many children with autism will need to have these methods supplemented with less adult-directed activities to increase communicative initiation and to carry over learned skills to new settings and communication partners. A review of programs aimed at language development in high functioning children with ASD points out the importance of thinking beyond words and sentences to the social functions of communication and language use when developing interventions. Although a range of adult-mediated programs are reviewed here, providing opportunities for mediated peer interactions with trained peers in natural settings appears to be especially important in maximizing the effects of this intervention. PMID:18775373
NASA Astrophysics Data System (ADS)
Pakmanesh, M. R.; Shamanian, M.
2018-02-01
In this study, the optimization of pulsed Nd:YAG laser welding parameters was done on the lap-joint of a 316L stainless steel foil with the aim of reducing weld defects through response surface methodology. For this purpose, the effects of peak power, pulse-duration, and frequency were investigated. The most important weld defects seen in this method include underfill and undercut. By presenting a second-order polynomial, the above-mentioned statistical method was managed to be well employed to balance the welding parameters. The results showed that underfill increased with the increased power and reduced frequency, it first increased and then decreased with the increased pulse-duration; and the most important parameter affecting it was the power, whose effect was 65%. The undercut increased with the increased power, pulse-duration, and frequency; and the most important parameter affecting it was the power, whose effect was 64%. Finally, by superimposing different responses, improved conditions were presented to attain a weld with no defects.
Mousazadeh, Yalda; Jannati, Ali; Jabbari Beiramy, Hossein; AsghariJafarabadi, Mohammad; Ebadi, Ali
2013-01-01
Background: Hospitals as key actors in health systems face growing pressures especially cost cutting and search for costeffective ways to resources management. Downsizing is one of these ways. This study was conducted to identify advantages and disadvantages of different methods of hospital' downsizing. Methods:The search was conducted in databases of Medlib, SID, Pub Med, Science Direct and Google Scholar Meta search engine by keywords of Downsizing, Hospital Downsizing, Hospital Rightsizing, Hospital Restructuring, Staff Downsizing, Hospital Merging, Hospital Reorganization and the Persian equivalents. Resulted 815 articles were studied and refined step by step. Finally, 27 articles were selected for analysis. Results: Five hospital downsizing methods were identified during searching. These methods were reducing the number of employees and beds, outsourcing, integration of hospital units, and the combination of these methods. The most important benefits were cost reduction, increasing patient satisfaction, increasing home care and outpatient services. The most important disadvantage included reducing access, reducing the rate of hospital admissions and increasing employees’ workload and dissatisfaction. Conclusion: Each downsizing method has strengths and weaknesses. Using different methods of downsizing, according to circumstances and applying appropriate interventions after implementation, is necessary for promotion. PMID:24688978
Importance of mixed methods in pragmatic trials and dissemination and implementation research.
Albright, Karen; Gechter, Katherine; Kempe, Allison
2013-01-01
With increased attention to the importance of translating research to clinical practice and policy, recent years have seen a proliferation of particular types of research, including pragmatic trials and dissemination and implementation research. Such research seeks to understand how and why interventions function in real-world settings, as opposed to highly controlled settings involving conditions not likely to be repeated outside the research study. Because understanding the context in which interventions are implemented is imperative for effective pragmatic trials and dissemination and implementation research, the use of mixed methods is critical to understanding trial results and the success or failure of implementation efforts. This article discusses a number of dimensions of mixed methods research, utilizing at least one qualitative method and at least one quantitative method, that may be helpful when designing projects or preparing grant proposals. Although the strengths and emphases of qualitative and quantitative approaches differ substantially, methods may be combined in a variety of ways to achieve a deeper level of understanding than can be achieved by one method alone. However, researchers must understand when and how to integrate the data as well as the appropriate order, priority, and purpose of each method. The ability to demonstrate an understanding of the rationale for and benefits of mixed methods research is increasingly important in today's competitive funding environment, and many funding agencies now expect applicants to include mixed methods in proposals. The increasing demand for mixed methods research necessitates broader methodological training and deepened collaboration between medical, clinical, and social scientists. Although a number of challenges to conducting and disseminating mixed methods research remain, the potential for insight generated by such work is substantial. Copyright © 2013 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.
Umesh P. Agarwal; Rajai Atalla
2010-01-01
Vibrational spectroscopy is an important tool in modern chemistry. In the past two decades, thanks to significant improvements in instrumentation and the development of new interpretive tools, it has become increasingly important for studies of lignin. This chapter presents the three important instrumental methods-Raman spectroscopy, infrared (IR) spectroscopy, and...
Bioanalytical method transfer considerations of chromatographic-based assays.
Williard, Clark V
2016-07-01
Bioanalysis is an important part of the modern drug development process. The business practice of outsourcing and transferring bioanalytical methods from laboratory to laboratory has increasingly become a crucial strategy for successful and efficient delivery of therapies to the market. This chapter discusses important considerations when transferring various types of chromatographic-based assays in today's pharmaceutical research and development environment.
A practical method to rapidly dissolve metallic stents.
Bradshaw, Scott H; Kennedy, Lloyd; Dexter, David F; Veinot, John P
2009-01-01
Metallic stents are commonly used in many clinical applications including peripheral vascular disease intervention, biliary obstruction, endovascular repair of aneurysms, and percutaneous coronary interventions. In the examination of vascular stent placement, it is important to determine if the stent is open or has become obstructed. This is increasingly important in the era of drug-eluting stent usage in coronary arteries. We describe a practical, rapid and cost-effective method to dissolve most metallic stents leaving the vascular and luminal tissues intact. This practical method may replace the laborious and expensive plastic embedding methods currently utilized.
Critical Appraisal of Mixed Methods Studies
ERIC Educational Resources Information Center
Heyvaert, Mieke; Hannes, Karin; Maes, Bea; Onghena, Patrick
2013-01-01
In several subdomains of the social, behavioral, health, and human sciences, research questions are increasingly answered through mixed methods studies, combining qualitative and quantitative evidence and research elements. Accordingly, the importance of including those primary mixed methods research articles in systematic reviews grows. It is…
Multiscale Space-Time Computational Methods for Fluid-Structure Interactions
2015-09-13
prescribed fully or partially, is from an actual locust, extracted from high-speed, multi-camera video recordings of the locust in a wind tunnel . We use...With creative methods for coupling the fluid and structure, we can increase the scope and efficiency of the FSI modeling . Multiscale methods, which now...play an important role in computational mathematics, can also increase the accuracy and efficiency of the computer modeling techniques. The main
Long-Term Changes in Nitrogen Budgets and Retention in the Elbe Estuary
NASA Astrophysics Data System (ADS)
Eisele, Annika; van Beusekom, Justus E. E.; Wirtz, Kai
2016-04-01
Eutrophication remains one of the major factors influencing the ecological state of coastal ecosystems. Coastal eutrophication is in turn intimately linked to riverine nutrient loads. At the freshwater side of the estuary, nutrient loads can easily be quantified but estuarine processes including organic matter import from the sea and loss factors like denitrification can modify the actual nutrient loads reaching the coastal seas. We quantified and localized nutrient retention processes by analyzing changes of nutrient concentrations along the estuary and constructing nutrient budgets. Two methods -the Officer method based on conservative mixing and a new method based on changes in nitrogen concentrations along the freshwater part of the estuary- were compared using long term records for the Elbe River, a major European waterway. Nutrient budgets and dynamics reveal that nutrient retention processes in the water column play a substantial role in the Elbe River. Overall, ~25 mio mol/day N are imported into the Elbe estuary and ~20 mio mol/day DIN is exported, with obvious variations depending on river discharge and season. A nitrogen loss of about 20% falls within the range found in other studies. Whereas in the 1980s a significant part of the nitrogen input was retained by the estuary, in the 1990s and 2000s most of the imported total nitrogen was exported as DIN. At present, the retention of nitrogen -presumably due to increased denitrification- increases again. As these long-term changes in the retention capacity of the Elbe were supported by both methods, the calibrated station-based approach can now be used to calculate nutrient budgets in estuaries where no or only few transect data are available, such as the Weser and Ems estuary. Our presentation will finally discuss the possible impact of increased phytoplankton import from the Elbe River and increased import of suspended matter from the North Sea ecosystem on estuarine nitrogen dynamics.
Membrane proteins structures: A review on computational modeling tools.
Almeida, Jose G; Preto, Antonio J; Koukos, Panagiotis I; Bonvin, Alexandre M J J; Moreira, Irina S
2017-10-01
Membrane proteins (MPs) play diverse and important functions in living organisms. They constitute 20% to 30% of the known bacterial, archaean and eukaryotic organisms' genomes. In humans, their importance is emphasized as they represent 50% of all known drug targets. Nevertheless, experimental determination of their three-dimensional (3D) structure has proven to be both time consuming and rather expensive, which has led to the development of computational algorithms to complement the available experimental methods and provide valuable insights. This review highlights the importance of membrane proteins and how computational methods are capable of overcoming challenges associated with their experimental characterization. It covers various MP structural aspects, such as lipid interactions, allostery, and structure prediction, based on methods such as Molecular Dynamics (MD) and Machine-Learning (ML). Recent developments in algorithms, tools and hybrid approaches, together with the increase in both computational resources and the amount of available data have resulted in increasingly powerful and trustworthy approaches to model MPs. Even though MPs are elementary and important in nature, the determination of their 3D structure has proven to be a challenging endeavor. Computational methods provide a reliable alternative to experimental methods. In this review, we focus on computational techniques to determine the 3D structure of MP and characterize their binding interfaces. We also summarize the most relevant databases and software programs available for the study of MPs. Copyright © 2017 Elsevier B.V. All rights reserved.
Patricia Negreros-Castilloa; Laura K. Snookb; Carl W. Mize
2003-01-01
Honduras or bigleaf mahogany (Swietenia macrophylla King) is the most commercially important timber species in the Neotropics, but it often does not regenerate successfully after harvesting. Effective methods are needed to sustain or increase mahogany yields by increasing regeneration. This study evaluates the effects of three treatments (slash, fell and burn; slash,...
Sigurdsson, Gardar; Yannopoulos, Demetris; McKnite, Scott H; Lurie, Keith G
2003-06-01
Recent advances in cardiopulmonary resuscitation have shed light on the importance of cardiorespiratory interactions during shock and cardiac arrest. This review focuses on recently published studies that evaluate factors that determine preload during chest compression, methods that can augment preload, and the detrimental effects of hyperventilation and interrupting chest compressions. Refilling of the ventricles, so-called ventricular preload, is diminished during cardiovascular collapse and resuscitation from cardiac arrest. In light of the potential detrimental effects and challenges of large-volume fluid resuscitations, other methods have increasing importance. During cardiac arrest, active decompression of the chest and impedance of inspiratory airflow during the recoil of the chest work by increasing negative intrathoracic pressure and, hence, increase refilling of the ventricles and increase cardiac preload, with improvement in survival. Conversely, increased frequency of ventilation has detrimental effects on coronary perfusion pressure and survival rates in cardiac arrest and severe shock. Prolonged interruption of chest compressions for delivering single-rescuer ventilation or analyzing rhythm before shock delivery is associated with decreased survival rate. Cardiorespiratory interactions are of profound importance in states of cardiovascular collapse in which increased negative intrathoracic pressure during decompression of the chest has a favorable effect and increased intrathoracic pressure with ventilation has a detrimental effect on survival rate.
Comparison of green method for chitin deacetylation
NASA Astrophysics Data System (ADS)
Anwar, Muslih; Anggraeni, Ayu Septi; Amin, M. Harisuddin Al
2017-03-01
Developing highly environmentally friendly and cost-effective approaches for the chitosan production has paramount important in the future technology. Deacetylation process is one of the most importing steps to classify the quality of chitosan. This research aimed to study the best method for deacetylation of chitin considered by several factors like the concentration of base, temperature, time and reaction method. From the green chemistry point of view, conventional refluxing method relatively wasted energy compared to another method such as maceration, grinding and sonication. The degree of deacetylation (DD) of chitosan was studied by sonication, resulted in slightly increasing of DD from 73.14 to 73.28% during the time from 0.5 h to 1 h. Deacetylation of chitin with various sodium hydroxide concentration 60, 70 and 80% gave 73.14, 76.36 and 77.88% of DD, respectively. Variation of temperature at 40, 60, and 80 °C was slightly affected on increasing DD from 67.53, 72.84 and 73.14%, respectively. The DD of chitosan significantly increased from 60.19, 74.27 and 81.20% respectively correspondent to varying NaOH concentration 60, 70 and 80% using the maceration method. Solid phase grinding method for half hour resulted in 79.49% of DD. The application of ultrasound grinding method not only was enhanced toward the deacetylation but also favoured the depolymerization process. Moreover, maceration for 7 days with 80% NaOH can be as an alternative method.
Özge, C; Toros, F; Bayramkaya, E; Çamdeviren, H; Şaşmaz, T
2006-01-01
Background The purpose of this study is to evaluate the most important sociodemographic factors on smoking status of high school students using a broad randomised epidemiological survey. Methods Using in‐class, self administered questionnaire about their sociodemographic variables and smoking behaviour, a representative sample of total 3304 students of preparatory, 9th, 10th, and 11th grades, from 22 randomly selected schools of Mersin, were evaluated and discriminative factors have been determined using appropriate statistics. In addition to binary logistic regression analysis, the study evaluated combined effects of these factors using classification and regression tree methodology, as a new statistical method. Results The data showed that 38% of the students reported lifetime smoking and 16.9% of them reported current smoking with a male predominancy and increasing prevalence by age. Second hand smoking was reported at a 74.3% frequency with father predominance (56.6%). The significantly important factors that affect current smoking in these age groups were increased by household size, late birth rank, certain school types, low academic performance, increased second hand smoking, and stress (especially reported as separation from a close friend or because of violence at home). Classification and regression tree methodology showed the importance of some neglected sociodemographic factors with a good classification capacity. Conclusions It was concluded that, as closely related with sociocultural factors, smoking was a common problem in this young population, generating important academic and social burden in youth life and with increasing data about this behaviour and using new statistical methods, effective coping strategies could be composed. PMID:16891446
Roff, E J; Hosking, S L; Barnes, D A
2001-05-01
The recommended contour line (CL) location with the Heidelberg Retina Tomograph (HRT) is on the inner edge of Elschnig's scleral ring. This study investigated HRT parameter reproducibility when: (i) the CL size is altered relative to Elschnig's ring; (ii) the CL is either redrawn or imported between images. Using the HRT, seven 10 degrees images were acquired for 10 normal volunteers and 10 primary open angle glaucoma (POAG) subjects. A CL was drawn on one image for each subject using Elschnig's scleral ring for reference and imported into subsequent images. The CL diameter was then (a) increased by 50 microns; (b) increased by 100 microns; and (c) decreased by 50 microns. To investigate the effect of the method of contour line transfer between images a CL was: (1) defined for one image and imported to 6 subsequent images; (2) drawn separately for each image. Parameter variability improved as the size of the CL increased for the normal group relative to Elschnig's ring but was unchanged in the POAG group. The export/import function (method 1) resulted in better parameter reproducibility than the redrawing method for both groups. The exporting and importing function resulted in better parameter variability for both subject groups and should be used for transferring CLs across images for the same subject. Increasing the overall CL size relative to Elschnig's scleral ring improved the reproducibility of the measured parameters in the normal group. No significant difference in parameter variability was observed for the POAG group. This suggests that the reproducibility of HRT images are affected more by the variation in topography between images than change in CL definition.
Preventing HIV transmission in Chinese internal migrants: a behavioral approach.
Liu, Xiaona; Erasmus, Vicki; Sun, Xinying; Cai, Rui; Shi, Yuhui; Richardus, Jan Hendrik
2014-01-01
This study is a step towards a behavioral intervention to prevent HIV transmission among Chinese internal migrants. To explore important and changeable determinants of condom use and inspect effective and feasible methods to increase condom use for the target population, we conducted a three-round web-based Delphi study among a panel of 62 experts between October 2012 and March 2013. The panelists were purposely selected using a stepwise procedure to represent topic-related areas of expertise. The response rate per round ranges from 21% to 81%. The panelists identified 19 possible determinants of condom use and reported 16 intervention methods they considered successful. They agreed that attitude towards condom use was the most important and changeable determinant, while applying behavioral theory, increasing sexual education and condom access, performing worksite health promotion, detecting risk factors, and working closely with relevant organizations and the government were effective and feasible methods to increase condom use among internal migrants in China. In conclusion, results of this study highlight the importance of attitude in changing condom use and underscore the need to apply behavior theory and integrate multiple educational approaches for developing behavioral HIV prevention interventions targeting internal migrants in China.
Infusing Active Learning into the Research Methods Unit
ERIC Educational Resources Information Center
Bluestone, Cheryl
2007-01-01
The research methods unit of survey psychology classes introduces important concepts of scientific reasoning and fluency, making it an ideal course in which to deliver enhanced curricula. To increase interest and engagement, the author developed an expanded research methods and statistics module to give students the opportunity to explore…
Buu, Anne; Williams, L Keoki; Yang, James J
2018-03-01
We propose a new genome-wide association test for mixed binary and continuous phenotypes that uses an efficient numerical method to estimate the empirical distribution of the Fisher's combination statistic under the null hypothesis. Our simulation study shows that the proposed method controls the type I error rate and also maintains its power at the level of the permutation method. More importantly, the computational efficiency of the proposed method is much higher than the one of the permutation method. The simulation results also indicate that the power of the test increases when the genetic effect increases, the minor allele frequency increases, and the correlation between responses decreases. The statistical analysis on the database of the Study of Addiction: Genetics and Environment demonstrates that the proposed method combining multiple phenotypes can increase the power of identifying markers that may not be, otherwise, chosen using marginal tests.
Dissemination of psychosocial treatments for anxiety: the importance of taking a broad perspective.
Taylor, Steven; Abramowitz, Jonathan S
2013-12-01
Dissemination methods are used to increase the likelihood that a given treatment or form of clinical practice is implemented by clinicians in the community. Therapist training in treatment methods is an important component of dissemination. Successful dissemination also requires that roadblocks to treatment implementation are identified and circumvented, such as misconceptions that clinicians might hold about a given treatment. The present article offers a commentary on the papers included in the special issue on treatment dissemination for anxiety disorders. Most papers focus on issues concerning the training and education of clinicians with regard to exposure therapy. Training and education is an important step but should be part of a broad, multifaceted approach. There are several other important methods of treatment dissemination, including methods developed and implemented with success by the pharmaceutical industry, might also be used to disseminate psychosocial therapies. Optimal dissemination likely requires a broad perspective in which multiple dissemination methods are considered for implementation. Copyright © 2013 Elsevier Ltd. All rights reserved.
Analysis of Endocrine Disrupting Pesticides by Capillary GC with Mass Spectrometric Detection
Matisová, Eva; Hrouzková, Svetlana
2012-01-01
Endocrine disrupting chemicals, among them many pesticides, alter the normal functioning of the endocrine system of both wildlife and humans at very low concentration levels. Therefore, the importance of method development for their analysis in food and the environment is increasing. This also covers contributions in the field of ultra-trace analysis of multicomponent mixtures of organic pollutants in complex matrices. With this fact conventional capillary gas chromatography (CGC) and fast CGC with mass spectrometric detection (MS) has acquired a real importance in the analysis of endocrine disrupting pesticide (EDP) residues. This paper provides an overview of GC methods, including sample preparation steps, for analysis of EDPs in a variety of matrices at ultra-trace concentration levels. Emphasis is put on separation method, mode of MS detection and ionization and obtained limits of detection and quantification. Analysis time is one of the most important aspects that should be considered in the choice of analytical methods for routine analysis. Therefore, the benefits of developed fast GC methods are important. PMID:23202677
Culvert roughness elements for native Utah fish passage : phase II.
DOT National Transportation Integrated Search
2012-04-01
Native fishes have become an increasingly important concern when designing fish passable culverts. Many operational culverts constrict waterways which increase velocities and prevent upstream passage of small fish species. The current method to ensur...
State-of-the-art measurements in human body composition: A moving frontier of clinical importance.
Gallagher, D; Shaheen, I; Zafar, K
2008-01-01
The measurement of human body composition allows for the estimation of body tissues, organs, and their distributions in living persons without inflicting harm. From a nutritional perspective, the interest in body composition has increased multi-fold with the global increase in the prevalence of obesity and its complications. The latter has driven in part the need for improved measurement methods with greater sensitivity and precision. There is no single gold standard for body-composition measurements in-vivo. All methods incorporate assumptions that do not apply in all individuals and the more accurate models are derived by using a combination of measurements, thereby reducing the importance of each assumption. This review will discuss why the measurement of body composition or human phenotyping is important; discuss new areas where the measurement of body composition (human phenotyping) is recognized as having important application; and will summarize recent advances made in new methodology. Reference will also be made to areas we cannot yet measure due to the lack of appropriate measurement methodologies, most especially measurements methods that provide information on kinetic states (not just static state) and metabolic function.
State-of-the-art measurements in human body composition: A moving frontier of clinical importance
Gallagher, D.; Shaheen, I.; Zafar, K.
2010-01-01
The measurement of human body composition allows for the estimation of body tissues, organs, and their distributions in living persons without inflicting harm. From a nutritional perspective, the interest in body composition has increased multi-fold with the global increase in the prevalence of obesity and its complications. The latter has driven in part the need for improved measurement methods with greater sensitivity and precision. There is no single gold standard for body-composition measurements in-vivo. All methods incorporate assumptions that do not apply in all individuals and the more accurate models are derived by using a combination of measurements, thereby reducing the importance of each assumption. This review will discuss why the measurement of body composition or human phenotyping is important; discuss new areas where the measurement of body composition (human phenotyping) is recognized as having important application; and will summarize recent advances made in new methodology. Reference will also be made to areas we cannot yet measure due to the lack of appropriate measurement methodologies, most especially measurements methods that provide information on kinetic states (not just static state) and metabolic function. PMID:21234275
The Effect of Tuition Increases on Business Student Decisions
ERIC Educational Resources Information Center
Godek, John; Murray, Kyle B.; Karns, Gary
2015-01-01
Tuition increases have become all too common as states have cut spending to public institutions and private schools face declining enrollments. As such, understanding the effects of various methods of framing tuition increases is an important, but infrequently researched topic. The authors examine different ways to frame tuition increases…
ERIC Educational Resources Information Center
Lahey, Benjamin B.; D'Onofrio, Brian M.; Waldman, Irwin D.
2009-01-01
Epidemiology uses strong sampling methods and study designs to test refutable hypotheses regarding the causes of important health, mental health, and social outcomes. Epidemiologic methods are increasingly being used to move developmental psychopathology from studies that catalogue correlates of child and adolescent mental health to designs that…
Comprehensive methods for earlier detection and monitoring of forest decline
Jennifer Pontius; Richard Hallett
2014-01-01
Forested ecosystems are threatened by invasive pests, pathogens, and unusual climatic events brought about by climate change. Earlier detection of incipient forest health problems and a quantitatively rigorous assessment method is increasingly important. Here, we describe a method that is adaptable across tree species and stress agents and practical for use in the...
Triangulation, Respondent Validation, and Democratic Participation in Mixed Methods Research
ERIC Educational Resources Information Center
Torrance, Harry
2012-01-01
Over the past 10 years or so the "Field" of "Mixed Methods Research" (MMR) has increasingly been exerting itself as something separate, novel, and significant, with some advocates claiming paradigmatic status. Triangulation is an important component of mixed methods designs. Triangulation has its origins in attempts to validate research findings…
Evidence-based practice: the importance of education and leadership.
Johansson, Birgitta; Fogelberg-Dahm, Marie; Wadensten, Barbro
2010-01-01
To describe evidence-based practice among head nurses and to explore whether number of years of duty is associated with such activities. Further to evaluate the effects of education on evidence-based practice and perceived support from immediate superiors. Registered nurses in Sweden are required by law to perform care based on research findings and best experiences. In order to achieve this, evidence-based practice (EBP) is of key importance. All 168 head nurses at two hospitals were asked to participate. Ninety-nine (59%) completed the survey. Data were collected using a study-specific web-based questionnaire. The majority reported a positive attitude towards EBP, but also a lack of time for EBP activities. A greater number of years as a head nurse was positively correlated with research utilization. Education in research methods and perceived support from immediate superiors were statistically and significantly associated with increased EBP activities. The present study highlights the value of education in research methods and the importance of supportive leadership. Education is an important factor in the employment of head nurses. We recommend interventions to create increased support for EBP among management, the goal being to deliver high-quality care and increase patient satisfaction.
Intentions to use contraceptives in Pakistan: implications for behavior change campaigns
2010-01-01
Background Since 1990-91, traditional method use has increased at a faster rate in Pakistan than modern method use. The importance of hormonal methods or the IUD has diminished and that of traditional methods has increased in the method mix. There is a need to identify factors motivating and deterring the adoption of specific family planning methods among married men and women in Pakistan. Methods In addition to social and demographic characteristics of respondents, a representative household survey collected information on psychological correlates of family planning behavior from 1,788 non-pregnant wives and 1,805 husbands with not-pregnant wives. Males and females were from separate households. Principal components analysis was conducted to identify the underlying constructs that were important for each gender. Multinomial logistic regression analysis was conducted to determine the correlates of male and female intentions to use contraceptive methods. Results Amongst women, the perception that her in-laws support family planning use was the strongest determinant of her intentions to use contraceptive methods. A woman's belief in the importance of spacing children and her perception that a choice of methods and facilities with competent staff were available were also powerful drivers of her intentions to use contraceptive methods. The strongest obstacle to a woman's forming an intention to use contraceptive methods was her belief that family planning decisions were made by the husband and fertility was determined by God's will. Fears that family planning would harm a woman's womb lowered a woman's intentions to use methods requiring procedures, such as the IUD and female sterilization. The perception that a responsible, caring, husband uses family planning to improve the standard of living of his family and to protect his wife's health was the most important determinant of a man's intention to use condoms. A husband's lack of self-efficacy in being able to discuss family planning with his wife was the strongest driver of the intention to use withdrawal. A man's fear that contraceptives would make a woman sterile and harm her womb lowered his intention to use modern contraceptive methods. Conclusions These findings highlight the importance of having secondary target audiences such as mothers-in-law and husbands in family planning behavior change campaigns implemented in Pakistan. Campaigns that stress the importance of child spacing are likely to have an impact. Client perceptions of the quality of care are important determinants of intentions to use contraceptive methods in Pakistan. Client concerns that the IUD and sterilization procedures might harm a woman's womb and cause sterility should be addressed. The findings suggest that there is a need to assess the actual quality of service delivery in Pakistan. PMID:20673374
Differentiated protection method in passive optical networks based on OPEX
NASA Astrophysics Data System (ADS)
Zhang, Zhicheng; Guo, Wei; Jin, Yaohui; Sun, Weiqiang; Hu, Weisheng
2011-12-01
Reliable service delivery becomes more significant due to increased dependency on electronic services all over society and the growing importance of reliable service delivery. As the capability of PON increasing, both residential and business customers may be included in a PON. Meanwhile, OPEX have been proven to be a very important factor of the total cost for a telecommunication operator. Thus, in this paper, we present the partial protection PON architecture and compare the operational expenditures (OPEX) of fully duplicated protection and partly duplicated protection for ONUs with different distributed fiber length, reliability requirement and penalty cost per hour. At last, we propose a differentiated protection method to minimize OPEX.
Lin, Tracy Kuo; Teymourian, Yasmin; Tursini, Maitri Shila
2018-04-14
Studies find that economic, political, and social globalization - as well as trade liberalization specifically - influence the prevalence of overweight and obesity in countries through increasing the availability and affordability of unhealthful food. However, what are the mechanisms that connect globalization, trade liberalization, and rising average body mass index (BMI)? We suggest that the various sub-components of globalization interact, leading individuals in countries that experience higher levels of globalization to prefer, import, and consume more imported sugar and processed food products than individuals in countries that experience lower levels of globalization. This study codes the amount of sugar and processed food imports in 172 countries from 1995 to 2010 using the United Nations Comtrade dataset. We employ country-specific fixed effects (FE) models, with robust standard errors, to examine the relationship between sugar and processed foods imports, globalization, and average BMI. To highlight further the relationship between the sugar and processed food import and average BMI, we employ a synthetic control method to calculate a counterfactual average BMI in Fiji. We find that sugar and processed food imports are part of the explanation to increasing average BMI in countries; after controlling for globalization and general imports and exports, sugar and processed food imports have a statistically and substantively significant effect in increasing average BMI. In the case of Fiji, the increased prevalence of obesity is associated with trade agreements and increased imports of sugar and processed food. The counterfactual estimates suggest that sugar and processed food imports are associated with a 0.5 increase in average BMI in Fiji.
Picking a Fight with Water, and Water Lost ... an Electron
NASA Astrophysics Data System (ADS)
Herr, Jonathan D.
The global need for energy is increasing, as is the importance of producing energy by green and renewable methodologies. This document outlines a research program dedicated to investigating a possible source for this form of energy generation and storage: solar fuels. The photon-induced splitting of water into molecular hydrogen and oxygen is currently hindered by large overpotentials from the oxidation half-reaction of water-splitting. This study concentrated on fundamental models of water-spitting chemistry, using a physical and computational chemistry analysis. The oxidation was first explored via ab initio electronic structure calculations of bare cationic water clusters, comprised of 2 to 21 molecules, in order to determine key electronic interactions that facilitate oxidation. Deeper understanding of these interactions could serve as guides for the development of viable water oxidation catalysts (WOC) designed to reduce overpotentials. The cationic water cluster study was followed by an investigation into hydrated copper (I) clusters, which acted as precursor models for real WOCs. Analyzing how the copper ion perturbed the properties of water clusters led to important electronic considerations for the development of WOCs, such as copper-water interactions that go beyond simple electrostatics. The importance of diagnostic thermodynamic properties, as well as anharmonic characteristics being persistent throughout oxidized water clusters, necessitated the use of quantum and classical molecular dynamics (MD) routines. Therefore, two new methods for accelerating computationally demanding classical and quantum MD methods were developed to increase their accessibility. The first method utilized a new form of electronic extrapolation - a linear prediction routine incorporating a Burg minimization - to decrease the iterations required for solving the electronic equations throughout the dynamics. The second method utilized a multiple-timestepping description of the potential energy term in the path integral molecular dynamics (PIMD) formalism. This method led to reductions of computational time by allowing the use of less computationally laborious methods for portions of the simulation and resulted in negligible increase of error. The determination of the fundamental driving forces within water oxidation and the development of acceleration techniques for important electronic structure methods will help drive progress into fully solar-initiated water oxidation.
Research of test fault diagnosis method for micro-satellite PSS
NASA Astrophysics Data System (ADS)
Wu, Haichao; Wang, Jinqi; Yang, Zhi; Yan, Meizhi
2017-11-01
Along with the increase in the number of micro-satellite and the shortening of the product's lifecycle, negative effects of satellite ground test failure become more and more serious. Real-time and efficient fault diagnosis becomes more and more necessary. PSS plays an important role in the satellite ground test's safety and reliability as one of the most important subsystems that guarantees the safety of micro-satellite energy. Take test fault diagnosis method of micro-satellite PSS as research object. On the basis of system features of PSS and classic fault diagnosis methods, propose a kind of fault diagnosis method based on the layered and loose coupling way. This article can provide certain reference for fault diagnosis methods research of other subsystems of micro-satellite.
Cost Optimization in E-Learning-Based Education Systems: Implementation and Learning Sequence
ERIC Educational Resources Information Center
Fazlollahtabar, Hamed; Yousefpoor, Narges
2009-01-01
Increasing the effectiveness of e-learning has become one of the most practically and theoretically important issues within both educational engineering and information system fields. The development of information technologies has contributed to growth in online training as an important education method. The online training environment enables…
Behavioural Phenotypes and Special Educational Needs: Is Aetiology Important in the Classroom?
ERIC Educational Resources Information Center
Reilly, C.
2012-01-01
Background: A number of genetic conditions with associated intellectual disability and/or special educational needs have increasingly well-defined behavioural phenotypes. Thus, the concept of "behavioural phenotype" and aetiology of intellectual disability may be important with regard to school-based interventions. Method: The evidence for…
Strategy to increase Barangan Banana production in Kabupaten Deli Serdang
NASA Astrophysics Data System (ADS)
Adhany, I.; Chalil, D.; Ginting, R.
2018-02-01
This study was conducted to analyze internal and external factors in increasing Barangan Banana production in Kabupaten Deli Serdang. Samples were determined by snowball sampling technique and purposive sampling method. Using SWOT analysis method, this study found that there were 6 internal strategic factors and 9 external strategic factors. Among that strategic factors, support for production facilities appears as the most important internal strategic factor, while the demand for Barangan Banana. as the most important external strategic factor. Based on the importance and existing condition of these strategic factors, using support for production facilities and realization of supporting facilities with farming experience are the strategies covering strength-opportunity (SO), organizing mentoring to meet the demand for Barangan Banana are the strategies covering weakness-opportunity (WO), making use of funding support and subsidies to widen the land, using tissue culture seeds and facilities and infrastructures are the strategies covering strength-threat (ST), increas the funding support to widen the land, the use of tissue culture seeds and facilities and infrastructures are the strategies covering weakness-threat (WT) are discussed and proposed to increase Barangan Banana productivity in Kabupaten Deli Serdang.
Evolving neural networks through augmenting topologies.
Stanley, Kenneth O; Miikkulainen, Risto
2002-01-01
An important question in neuroevolution is how to gain an advantage from evolving neural network topologies along with weights. We present a method, NeuroEvolution of Augmenting Topologies (NEAT), which outperforms the best fixed-topology method on a challenging benchmark reinforcement learning task. We claim that the increased efficiency is due to (1) employing a principled method of crossover of different topologies, (2) protecting structural innovation using speciation, and (3) incrementally growing from minimal structure. We test this claim through a series of ablation studies that demonstrate that each component is necessary to the system as a whole and to each other. What results is significantly faster learning. NEAT is also an important contribution to GAs because it shows how it is possible for evolution to both optimize and complexify solutions simultaneously, offering the possibility of evolving increasingly complex solutions over generations, and strengthening the analogy with biological evolution.
Research on Visualization Design Method in the Field of New Media Software Engineering
NASA Astrophysics Data System (ADS)
Deqiang, Hu
2018-03-01
In the new period of increasingly developed science and technology, with the increasingly fierce competition in the market and the increasing demand of the masses, new design and application methods have emerged in the field of new media software engineering, that is, the visualization design method. Applying the visualization design method to the field of new media software engineering can not only improve the actual operation efficiency of new media software engineering but more importantly the quality of software development can be enhanced by means of certain media of communication and transformation; on this basis, the progress and development of new media software engineering in China are also continuously promoted. Therefore, the application of visualization design method in the field of new media software engineering is analysed concretely in this article from the perspective of the overview of visualization design methods and on the basis of systematic analysis of the basic technology.
Wang, ShaoPeng; Zhang, Yu-Hang; Lu, Jing; Cui, Weiren; Hu, Jerry; Cai, Yu-Dong
2016-01-01
The development of biochemistry and molecular biology has revealed an increasingly important role of compounds in several biological processes. Like the aptamer-protein interaction, aptamer-compound interaction attracts increasing attention. However, it is time-consuming to select proper aptamers against compounds using traditional methods, such as exponential enrichment. Thus, there is an urgent need to design effective computational methods for searching effective aptamers against compounds. This study attempted to extract important features for aptamer-compound interactions using feature selection methods, such as Maximum Relevance Minimum Redundancy, as well as incremental feature selection. Each aptamer-compound pair was represented by properties derived from the aptamer and compound, including frequencies of single nucleotides and dinucleotides for the aptamer, as well as the constitutional, electrostatic, quantum-chemical, and space conformational descriptors of the compounds. As a result, some important features were obtained. To confirm the importance of the obtained features, we further discussed the associations between them and aptamer-compound interactions. Simultaneously, an optimal prediction model based on the nearest neighbor algorithm was built to identify aptamer-compound interactions, which has the potential to be a useful tool for the identification of novel aptamer-compound interactions. The program is available upon the request. PMID:26955638
Wang, ShaoPeng; Zhang, Yu-Hang; Lu, Jing; Cui, Weiren; Hu, Jerry; Cai, Yu-Dong
2016-01-01
The development of biochemistry and molecular biology has revealed an increasingly important role of compounds in several biological processes. Like the aptamer-protein interaction, aptamer-compound interaction attracts increasing attention. However, it is time-consuming to select proper aptamers against compounds using traditional methods, such as exponential enrichment. Thus, there is an urgent need to design effective computational methods for searching effective aptamers against compounds. This study attempted to extract important features for aptamer-compound interactions using feature selection methods, such as Maximum Relevance Minimum Redundancy, as well as incremental feature selection. Each aptamer-compound pair was represented by properties derived from the aptamer and compound, including frequencies of single nucleotides and dinucleotides for the aptamer, as well as the constitutional, electrostatic, quantum-chemical, and space conformational descriptors of the compounds. As a result, some important features were obtained. To confirm the importance of the obtained features, we further discussed the associations between them and aptamer-compound interactions. Simultaneously, an optimal prediction model based on the nearest neighbor algorithm was built to identify aptamer-compound interactions, which has the potential to be a useful tool for the identification of novel aptamer-compound interactions. The program is available upon the request.
Hill, Mary C.; Ely, D. Matthew; Tiedeman, Claire; O'Brien, Grady M.; D'Agnese, Frank A.; Faunt, Claudia C.
2001-01-01
When a model is calibrated by nonlinear regression, calculated diagnostic statistics and measures of uncertainty provide a wealth of information about many aspects of the system. This report presents a method of ranking the likely importance of existing observation locations using measures of prediction uncertainty. It is suggested that continued monitoring is warranted at more important locations, and unwarranted or less warranted at less important locations. The report develops the methodology and then demonstrates it using the hydraulic-head observation locations of a three-layer model of the Death Valley regional flow system. The predictions of interest are subsurface transport from beneath Yucca Mountain and 14 Underground Test Areas. The advective component of transport is considered because it is the component most affected by the system dynamics represented by the scale model being used. The problem is addressed using the capabilities of the U.S. Geological Survey computer program MODFLOW-2000, with its ADVective-Travel Observation (ADV) Package, and an additional computer program developed for this work. The methods presented in this report are used in three ways. (1) The ratings for individual observations are obtained by manipulating the measures of prediction uncertainty, and do not involve recalibrating the model. In this analysis, observation locations are each omitted individually and the resulting increase in uncertainty in the predictions is calculated. The uncertainty is quantified as standard deviations on the simulated advective transport. The increase in uncertainty is quantified as the percent increase in the standard deviations caused by omitting the one observation location from the calculation of standard deviations. In general, observation locations associated with larger increases are rated as more important. (2) Ratings for largely geographically based groups are obtained using a straightforward extension of the method used for individual observation locations. This analysis is needed where observations are clustered to determine whether the area is important to the predictions of interest. (3) Finally, the method is used to evaluate omitting a set of 100 observation locations. The locations were selected because they had low individual ratings and were not one of the few locations at which hydraulic heads from deep in the system were measured. The major results of the three analyses, when applied to the three-layer DVRFS ground-water flow system, are described in the following paragraphs. The discussion is labeled using the numbers 1 to 3 to clearly relate it to the three ways the method is used, as listed above. (1) The individual observation location analysis indicates that three observation locations are most important. They are located in Emigrant Valley, Oasis Valley, and Beatty. Of importance is that these and other observations shown to be important by this analysis are far from the travel paths considered. This displays the importance of the regional setting within which the transport occurs, the importance of including some sites throughout the area in the monitoring network, and the importance of including sites in these areas in particular. The method considered in this report indicates that the 19 observation locations that reflect hydraulic heads deeper in the system (in model layers 1, 2, and 3) are not very important. This appears to be because the locations of these observations are in the vicinity of shallow observation locations that also generally are rated as low importance, and because the model layers are hydraulically well connected vertically. The value of deep observations to testing conceptual models, however, is stressed. As a result, the deep observations are rated higher than is consistent with the results of the analysis presented, and none of these observations are omitted in the scenario discussed under (3) below. (2) The geographic grouping of th
MEDICAL EXPENDITURE RISK AND HOUSEHOLD PORTFOLIO CHOICE
Goldman, Dana
2013-01-01
Medical expenses are an increasingly important contributor to household financial risk. We examine the effect of medical expenditure risk on the willingness of Medicare beneficiaries to hold risky assets. Using a discrete factor maximum likelihood method to address the endogeneity of insurance choices, we find that having a moderately protective Medigap or employer supplemental policy increases risky asset holding by 7.1 percentage points relative to those without supplemental coverage, while participation in a highly protective Medicare HMO increases risky asset holding by 13.0 percentage points. Our results highlight an important link between the availability of health insurance and financial behavior. PMID:23997424
Modern methods for the quality management of high-rate melt solidification
NASA Astrophysics Data System (ADS)
Vasiliev, V. A.; Odinokov, S. A.; Serov, M. M.
2016-12-01
The quality management of high-rate melt solidification needs combined solution obtained by methods and approaches adapted to a certain situation. Technological audit is recommended to estimate the possibilities of the process. Statistical methods are proposed with the choice of key parameters. Numerical methods, which can be used to perform simulation under multifactor technological conditions, and an increase in the quality of decisions are of particular importance.
Ozge, C; Toros, F; Bayramkaya, E; Camdeviren, H; Sasmaz, T
2006-08-01
The purpose of this study is to evaluate the most important sociodemographic factors on smoking status of high school students using a broad randomised epidemiological survey. Using in-class, self administered questionnaire about their sociodemographic variables and smoking behaviour, a representative sample of total 3304 students of preparatory, 9th, 10th, and 11th grades, from 22 randomly selected schools of Mersin, were evaluated and discriminative factors have been determined using appropriate statistics. In addition to binary logistic regression analysis, the study evaluated combined effects of these factors using classification and regression tree methodology, as a new statistical method. The data showed that 38% of the students reported lifetime smoking and 16.9% of them reported current smoking with a male predominancy and increasing prevalence by age. Second hand smoking was reported at a 74.3% frequency with father predominance (56.6%). The significantly important factors that affect current smoking in these age groups were increased by household size, late birth rank, certain school types, low academic performance, increased second hand smoking, and stress (especially reported as separation from a close friend or because of violence at home). Classification and regression tree methodology showed the importance of some neglected sociodemographic factors with a good classification capacity. It was concluded that, as closely related with sociocultural factors, smoking was a common problem in this young population, generating important academic and social burden in youth life and with increasing data about this behaviour and using new statistical methods, effective coping strategies could be composed.
Student Attitudes to Traditional and Online Methods of Delivery
ERIC Educational Resources Information Center
Wong, Lily; Fong, Michelle
2014-01-01
Rapid developments in education technology have provided educators and students new options in a constantly changing, competitive teaching and learning environment. As the number of online teaching resources continue to increase, research into student attitudes toward traditional and online methods of delivery is important in order to determine…
Genotypic Detection of Antibiotic Resistance in "Escherichia Coli.": A Classroom Exercise
ERIC Educational Resources Information Center
Longtin, Sarah; Guilfoile, Patrick; Asper, Andrea
2004-01-01
Bacterial antibiotic resistance remains a problem of clinical importance. Current microbiological methods for determining antibiotic resistance are based on culturing bacteria, and may require up to 48 hours to complete. Molecular methods are increasingly being developed to speed the identification of antibiotic resistance and to determine its…
[Methods for measuring skin aging].
Zieger, M; Kaatz, M
2016-02-01
Aging affects human skin and is becoming increasingly important with regard to medical, social and aesthetic issues. Detection of intrinsic and extrinsic components of skin aging requires reliable measurement methods. Modern techniques, e.g., based on direct imaging, spectroscopy or skin physiological measurements, provide a broad spectrum of parameters for different applications.
Positioning Higher Education for the Knowledge Based Economy
ERIC Educational Resources Information Center
St. George, Elizabeth
2006-01-01
This article questions the assumption that increasing competition among higher education institutions is the best method of achieving a strong higher education sector in developing countries. It notes that there has been increasing emphasis on the importance of higher education institutions for sustainable development, particularly because of…
Students' Interest in Geoscience Topics, Contexts and Methods
ERIC Educational Resources Information Center
Hemmer, Ingrid; Bayrhuber, Horst; Haubler, Peter; Hemmer, Michael; Hlawatsch, Sylke; Hoffmann, Lore; Raffelsiefer, Marion
2007-01-01
Geoscience topics are playing an increasingly important role with regard to the future of our planet. Consequently, they have been moving into the educational foreground because of their societal relevance. The question is, however: Are pupils interested in these topics? This is important didactically, for interest is both a prerequisite and a…
A Review of Large-Scale "How Much Information?" Inventories: Variations, Achievements and Challenges
ERIC Educational Resources Information Center
Hilbert, Martin
2015-01-01
Introduction: Pressed by the increasing social importance of digital information, including the current attention given to the "big data paradigm", several research projects have taken up the challenge to quantify the amount of technologically mediated information. Method: This meta-study reviews the eight most important inventories in a…
Approaches to measuring cultural diversity in recreation
Chieh-Lu Li; James D. Absher; Yi-Chung Hsu; Alan R. Graefe
2008-01-01
Measuring cultural diversity in recreation has become an important topic because of the increasing coverage of and interest in ethnicity and cross-cultural aspects of recreation. Introducing theories and methods from established disciplines other than leisure studies/recreation and park studies is necessary to understand this important issue. In this article, we first...
Tsochatzis, Emmanouil D; Bladenopoulos, Konstantinos; Papageorgiou, Maria
2012-06-01
Tocotrienols and tocopherols (tocols) are important phytochemical compounds with antioxidant activity and potential benefits for human health. Among cereals, barley is a good source of tocols. In the present study the effect of two cultivation methods, organic and conventional, on the tocol content in 12 Greek barley varieties was investigated. A validated reverse phase high-performance liquid chromatography method (RP-HPLC) with fluorescence detection (excitation at 292 nm, emission at 335 nm) was applied along with direct solvent extraction with acetonitrile at a 1:30 (w/v) sample/solvent ratio for tocol quantification. The results showed statistically significant differences (P < 0.05) between the two cultivation methods (except for δ-tocopherol) as well as among varieties. In the case of organic cultivation the four homologues of tocotrienol (α-, β + γ- and δ-) increased, by 3.05-37.14% for α-tocotrienol, 15.51-41.09% for (β + γ)-tocotrienol and 30.45-196.61% for δ-tocotrienol, while those of tocopherol (α- and β + γ- but not δ-) decreased, by 5.90-36.34% for α-tocopherol and 2.84-46.49% for (β + γ)-tocopherol. A simple correlation analysis between tocols revealed a good correlation between (β + γ)-tocotrienol and δ-tocotrienol. Although there was a significant decrease in the important α-tocopherol in the varieties studied under organic cultivation, there was an overall increase in tocotrienol content. The cultivation method (organic or conventional) had an important effect on tocotrienol and tocopherol concentrations in barley. An overall increase in total tocol content and a clear increment in the tocotrienol/tocopherol ratio were observed. Copyright © 2012 Society of Chemical Industry.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Baer, Donald R.; Shutthanandan, Vaithiyalingam
Nano-sized objects are increasingly important as biomaterials and their surfaces play critical roles in determining their beneficial or deleterious behaviors in biological systems. Important characteristics of nanomaterials that impact their application in many areas are described with a strong focus on the importance of particle surfaces and surface characterization. Understanding aspects of the inherent nature of nano-objects and the important role that surfaces play in these applications is a universal need for any research or product development using such materials in biological applications. The role of surface analysis methods in collecting critical information about the nature of particle surfaces andmore » physicochemical properties of nano-objects is described along with the importance of including sample history and analysis results in a record of provenance information regarding specific batches of nano-objects.« less
Ex Post Facto Monte Carlo Variance Reduction
DOE Office of Scientific and Technical Information (OSTI.GOV)
Booth, Thomas E.
The variance in Monte Carlo particle transport calculations is often dominated by a few particles whose importance increases manyfold on a single transport step. This paper describes a novel variance reduction method that uses a large importance change as a trigger to resample the offending transport step. That is, the method is employed only after (ex post facto) a random walk attempts a transport step that would otherwise introduce a large variance in the calculation.Improvements in two Monte Carlo transport calculations are demonstrated empirically using an ex post facto method. First, the method is shown to reduce the variance inmore » a penetration problem with a cross-section window. Second, the method empirically appears to modify a point detector estimator from an infinite variance estimator to a finite variance estimator.« less
Econometric Model of Rice Policy Based On Presidential Instruction
NASA Astrophysics Data System (ADS)
Abadi Sembiring, Surya; Hutauruk, Julia
2018-01-01
The objective of research is to build an econometric model based on Presidential Instruction rice policy. The data was monthly time series from March 2005 to September 2009. Rice policy model specification using simultaneous equation, consisting of 14 structural equations and four identity equation, which was estimated using Two Stages Least Squares (2SLS) method. The results show that: (1) an increase of government purchasing price of dried harvest paddy has a positive impact on to increase in total rice production and community rice stock, (2) an increase community rice stock lead to decrease the rice imports, (3) an increase of the realization of the distribution of subsidized ZA fertilizers and the realization of the distribution of subsidized NPK fertilizers has a positive impact on to increase in total rice production and community rice stock and to reduce rice imports, (4) the price of the dried harvest paddy is highly responsive to the water content of dried harvest paddy both the short run and long run, (5) the quantity of rice imported is highly responsive to the imported rice price, both short run and long run.
E-learning: controlling costs and increasing value.
Walsh, Kieran
2015-04-01
E-learning now accounts for a substantial proportion of medical education provision. This progress has required significant investment and this investment has in turn come under increasing scrutiny so that the costs of e-learning may be controlled and its returns maximised. There are multiple methods by which the costs of e-learning can be controlled and its returns maximised. This short paper reviews some of those methods that are likely to be most effective and that are likely to save costs without compromising quality. Methods might include accessing free or low-cost resources from elsewhere; create short learning resources that will work on multiple devices; using open source platforms to host content; using in-house faculty to create content; sharing resources between institutions; and promoting resources to ensure high usage. Whatever methods are used to control costs or increase value, it is most important to evaluate the impact of these methods.
Improved sampling and analysis of images in corneal confocal microscopy.
Schaldemose, E L; Fontain, F I; Karlsson, P; Nyengaard, J R
2017-10-01
Corneal confocal microscopy (CCM) is a noninvasive clinical method to analyse and quantify corneal nerve fibres in vivo. Although the CCM technique is in constant progress, there are methodological limitations in terms of sampling of images and objectivity of the nerve quantification. The aim of this study was to present a randomized sampling method of the CCM images and to develop an adjusted area-dependent image analysis. Furthermore, a manual nerve fibre analysis method was compared to a fully automated method. 23 idiopathic small-fibre neuropathy patients were investigated using CCM. Corneal nerve fibre length density (CNFL) and corneal nerve fibre branch density (CNBD) were determined in both a manual and automatic manner. Differences in CNFL and CNBD between (1) the randomized and the most common sampling method, (2) the adjusted and the unadjusted area and (3) the manual and automated quantification method were investigated. The CNFL values were significantly lower when using the randomized sampling method compared to the most common method (p = 0.01). There was not a statistical significant difference in the CNBD values between the randomized and the most common sampling method (p = 0.85). CNFL and CNBD values were increased when using the adjusted area compared to the standard area. Additionally, the study found a significant increase in the CNFL and CNBD values when using the manual method compared to the automatic method (p ≤ 0.001). The study demonstrated a significant difference in the CNFL values between the randomized and common sampling method indicating the importance of clear guidelines for the image sampling. The increase in CNFL and CNBD values when using the adjusted cornea area is not surprising. The observed increases in both CNFL and CNBD values when using the manual method of nerve quantification compared to the automatic method are consistent with earlier findings. This study underlines the importance of improving the analysis of the CCM images in order to obtain more objective corneal nerve fibre measurements. © 2017 The Authors Journal of Microscopy © 2017 Royal Microscopical Society.
Germovsek, Eva; Barker, Charlotte I S; Sharland, Mike; Standing, Joseph F
2018-04-19
Pharmacokinetic/pharmacodynamic (PKPD) modeling is important in the design and conduct of clinical pharmacology research in children. During drug development, PKPD modeling and simulation should underpin rational trial design and facilitate extrapolation to investigate efficacy and safety. The application of PKPD modeling to optimize dosing recommendations and therapeutic drug monitoring is also increasing, and PKPD model-based dose individualization will become a core feature of personalized medicine. Following extensive progress on pediatric PK modeling, a greater emphasis now needs to be placed on PD modeling to understand age-related changes in drug effects. This paper discusses the principles of PKPD modeling in the context of pediatric drug development, summarizing how important PK parameters, such as clearance (CL), are scaled with size and age, and highlights a standardized method for CL scaling in children. One standard scaling method would facilitate comparison of PK parameters across multiple studies, thus increasing the utility of existing PK models and facilitating optimal design of new studies.
Cyberprints: Identifying Cyber Attackers by Feature Analysis
ERIC Educational Resources Information Center
Blakely, Benjamin A.
2012-01-01
The problem of attributing cyber attacks is one of increasing importance. Without a solid method of demonstrating the origin of a cyber attack, any attempts to deter would-be cyber attackers are wasted. Existing methods of attribution make unfounded assumptions about the environment in which they will operate: omniscience (the ability to gather,…
Examining the Effectiveness of the Remote Observation of Graduate Interns
ERIC Educational Resources Information Center
Hartshorne, Richard; Heafner, Tina; Petty, Teresa
2011-01-01
With teacher shortages in both general and critical needs areas and constricting operating budgets, it is important for Colleges of Education to develop methods of providing alternative certification programs to reach larger segments of the population. One method of increasing the scope of potential preservice teachers is through the development…
ERIC Educational Resources Information Center
Weis, Lois; Jenkins, Heather; Stich, Amy
2009-01-01
Evidenced in several now classic reviews of the field, much has been made of theoretical and methodological "difference" with regard to research in the sociology of education. Although such renditions often constitute important intellectual contributions, the authors suggest that it is increasingly important to read across theoretical and…
ERIC Educational Resources Information Center
Hart, Melanie A.
2005-01-01
With an increase concern for childhood obesity, many individuals and organizations are emphasizing the importance of quality physical education. The need for quality physical education at the elementary level is extremely important as research has shown a relationship between the performance of fundamental movement skills and children's body…
The Importance of Production Frequency in Therapy for Childhood Apraxia of Speech
ERIC Educational Resources Information Center
Edeal, Denice Michelle; Gildersleeve-Neumann, Christina Elke
2011-01-01
Purpose: This study explores the importance of production frequency during speech therapy to determine whether more practice of speech targets leads to increased performance within a treatment session, as well as to motor learning, in the form of generalization to untrained words. Method: Two children with childhood apraxia of speech were treated…
Quality of Life and its Measurement: Important Principles and Guidelines
ERIC Educational Resources Information Center
Verdugo, M. A.; Schalock, R. L.; Keith, K. D.; Stancliffe, R. J.
2005-01-01
Background: The importance of the valid assessment of quality of life (QOL) is heightened with the increased use of the QOL construct as a basis for policies and practices in the field of intellectual disability (ID). Method: This article discusses the principles that should guide the measurement process, the major interrogatories (i.e. who, what,…
Baldrian, Petr; López-Mondéjar, Rubén
2014-02-01
Molecular methods for the analysis of biomolecules have undergone rapid technological development in the last decade. The advent of next-generation sequencing methods and improvements in instrumental resolution enabled the analysis of complex transcriptome, proteome and metabolome data, as well as a detailed annotation of microbial genomes. The mechanisms of decomposition by model fungi have been described in unprecedented detail by the combination of genome sequencing, transcriptomics and proteomics. The increasing number of available genomes for fungi and bacteria shows that the genetic potential for decomposition of organic matter is widespread among taxonomically diverse microbial taxa, while expression studies document the importance of the regulation of expression in decomposition efficiency. Importantly, high-throughput methods of nucleic acid analysis used for the analysis of metagenomes and metatranscriptomes indicate the high diversity of decomposer communities in natural habitats and their taxonomic composition. Today, the metaproteomics of natural habitats is of interest. In combination with advanced analytical techniques to explore the products of decomposition and the accumulation of information on the genomes of environmentally relevant microorganisms, advanced methods in microbial ecophysiology should increase our understanding of the complex processes of organic matter transformation.
Forecasting electricity usage using univariate time series models
NASA Astrophysics Data System (ADS)
Hock-Eam, Lim; Chee-Yin, Yip
2014-12-01
Electricity is one of the important energy sources. A sufficient supply of electricity is vital to support a country's development and growth. Due to the changing of socio-economic characteristics, increasing competition and deregulation of electricity supply industry, the electricity demand forecasting is even more important than before. It is imperative to evaluate and compare the predictive performance of various forecasting methods. This will provide further insights on the weakness and strengths of each method. In literature, there are mixed evidences on the best forecasting methods of electricity demand. This paper aims to compare the predictive performance of univariate time series models for forecasting the electricity demand using a monthly data of maximum electricity load in Malaysia from January 2003 to December 2013. Results reveal that the Box-Jenkins method produces the best out-of-sample predictive performance. On the other hand, Holt-Winters exponential smoothing method is a good forecasting method for in-sample predictive performance.
Alcorta, M Duque; Alvarez, P Chanca; Cabetas, R Nuñez; Martín, Mj Alcaide; Valero, M; Candela, C Gómez
2018-06-01
The global health community has recognized the role of food and nutrition in health maintenance and disease prevention. Undernutrition is an important problem in clinical circles but it is still not highly considered by specialists. It is well known the consequences of undernutrition on the immunological systems. Furthermore, the main consequences are an increase of morbidity-mortality rates, postoperative complications, length of stay and number of hospital early readmissions. These are all reasons to lead to increase health-care financial costs. The total assistance quality could be improved by the arrangement of an automatic detection system of undernutrition. In our hospital, we use the screening tool "CONtrolling NUTritional status" (CONUT). To measure albumin, the laboratory could use bromocresol green (BCG) and bromocresol purple (BCP) method. The aim of this study is to evaluate the CONNUT tool to classify patients using two different albumin methods to measure. The albumin and cholesterol performed in Advia 2400 analyzer using bromocresol green and purple methods to measure albumin. The total lymphocytes performed in Advia 2120. We calculate CONNUT index and classify the patients based on nutritional status. When we classified our patients based on nutritional status (CONNUT), 28% were misclassified, almost in moderate and severe groups. This is very important because this tool generates a multidisciplinary action to the patient. Therefore, in the Clinical Laboratory we have to know the methods we use, the validity of these methods in future tools/index and the management and outcome of the patients. Copyright © 2018 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.
An integrated miRNA functional screening and target validation method for organ morphogenesis.
Rebustini, Ivan T; Vlahos, Maryann; Packer, Trevor; Kukuruzinska, Maria A; Maas, Richard L
2016-03-16
The relative ease of identifying microRNAs and their increasing recognition as important regulators of organogenesis motivate the development of methods to efficiently assess microRNA function during organ morphogenesis. In this context, embryonic organ explants provide a reliable and reproducible system that recapitulates some of the important early morphogenetic processes during organ development. Here we present a method to target microRNA function in explanted mouse embryonic organs. Our method combines the use of peptide-based nanoparticles to transfect specific microRNA inhibitors or activators into embryonic organ explants, with a microRNA pulldown assay that allows direct identification of microRNA targets. This method provides effective assessment of microRNA function during organ morphogenesis, allows prioritization of multiple microRNAs in parallel for subsequent genetic approaches, and can be applied to a variety of embryonic organs.
Qualitative methods in environmental health research.
Brown, Phil
2003-01-01
Public health researchers increasingly turn to qualitative methods either on their own or in combination with quantitative methods. Qualitative methods are especially important to community environmental health research, as they provide a way to produce community narratives that give voice to individuals and characterize the community in a full and complex fashion. This article first traces the legacy of qualitative research in environmental health, then uses a case study of the author's experiences studying the Woburn, Massachusetts, childhood leukemia cluster to provide personal and scholarly insights on qualitative approaches. That material then informs a discussion of important components of qualitative methods in environmental health research, including flexible study design, access, trust, empathy, and personal shifts in the researcher's worldview, bias, and the nature of the researcher's roles. A concluding discussion addresses issues in funding policy and research practices. PMID:14594634
Nanoscale thermal transport: Theoretical method and application
NASA Astrophysics Data System (ADS)
Zeng, Yu-Jia; Liu, Yue-Yang; Zhou, Wu-Xing; Chen, Ke-Qiu
2018-03-01
With the size reduction of nanoscale electronic devices, the heat generated by the unit area in integrated circuits will be increasing exponentially, and consequently the thermal management in these devices is a very important issue. In addition, the heat generated by the electronic devices mostly diffuses to the air in the form of waste heat, which makes the thermoelectric energy conversion also an important issue for nowadays. In recent years, the thermal transport properties in nanoscale systems have attracted increasing attention in both experiments and theoretical calculations. In this review, we will discuss various theoretical simulation methods for investigating thermal transport properties and take a glance at several interesting thermal transport phenomena in nanoscale systems. Our emphasizes will lie on the advantage and limitation of calculational method, and the application of nanoscale thermal transport and thermoelectric property. Project supported by the Nation Key Research and Development Program of China (Grant No. 2017YFB0701602) and the National Natural Science Foundation of China (Grant No. 11674092).
A Review of Microwave-Assisted Reactions for Biodiesel Production
Nomanbhay, Saifuddin; Ong, Mei Yin
2017-01-01
The conversion of biomass into chemicals and biofuels is an active research area as trends move to replace fossil fuels with renewable resources due to society’s increased concern towards sustainability. In this context, microwave processing has emerged as a tool in organic synthesis and plays an important role in developing a more sustainable world. Integration of processing methods with microwave irradiation has resulted in a great reduction in the time required for many processes, while the reaction efficiencies have been increased markedly. Microwave processing produces a higher yield with a cleaner profile in comparison to other methods. The microwave processing is reported to be a better heating method than the conventional methods due to its unique thermal and non-thermal effects. This paper provides an insight into the theoretical aspects of microwave irradiation practices and highlights the importance of microwave processing. The potential of the microwave technology to accomplish superior outcomes over the conventional methods in biodiesel production is presented. A green process for biodiesel production using a non-catalytic method is still new and very costly because of the supercritical condition requirement. Hence, non-catalytic biodiesel conversion under ambient pressure using microwave technology must be developed, as the energy utilization for microwave-based biodiesel synthesis is reported to be lower and cost-effective. PMID:28952536
A Review of Microwave-Assisted Reactions for Biodiesel Production.
Nomanbhay, Saifuddin; Ong, Mei Yin
2017-06-15
The conversion of biomass into chemicals and biofuels is an active research area as trends move to replace fossil fuels with renewable resources due to society's increased concern towards sustainability. In this context, microwave processing has emerged as a tool in organic synthesis and plays an important role in developing a more sustainable world. Integration of processing methods with microwave irradiation has resulted in a great reduction in the time required for many processes, while the reaction efficiencies have been increased markedly. Microwave processing produces a higher yield with a cleaner profile in comparison to other methods. The microwave processing is reported to be a better heating method than the conventional methods due to its unique thermal and non-thermal effects. This paper provides an insight into the theoretical aspects of microwave irradiation practices and highlights the importance of microwave processing. The potential of the microwave technology to accomplish superior outcomes over the conventional methods in biodiesel production is presented. A green process for biodiesel production using a non-catalytic method is still new and very costly because of the supercritical condition requirement. Hence, non-catalytic biodiesel conversion under ambient pressure using microwave technology must be developed, as the energy utilization for microwave-based biodiesel synthesis is reported to be lower and cost-effective.
Presgrave, Octavio; Caldeira, Cristiane; Moura, Wlamir; Cruz, Mayara; Méier, Gisele; Dos Santos, Elisabete; Boas, Maria H V
2015-03-01
Many Brazilian researchers have long been interested in the development and use of alternative methods. Most of their research groups work in isolation, due to the lack of funding for collaborative studies. Despite these problems, since the Third World Congress on Alternatives and Animal Use in the Life Sciences, Brazilian researchers have strongly participated, not only by presenting posters and oral presentations, but also by being involved in the World Congress Committees. The Brazilian Center for the Validation of Alternative Methods (BraCVAM) must play an important role in the development and validation of alternative methods, through the active participation of the National Network of Alternative Methods (ReNaMA). In Brazil, Law 11,794/2008 regulates the use of animals in experimentation and education, and Law 9,605/1998 clearly states that use of the original animal test is not permitted, if an alternative method is available. Therefore, given the current legal framework, it is very important that all the Ministries involved with animal use, and the organisations responsible for funding researchers, strive to increase the financial support of those groups that are involved in the development and use of alternative methods in Brazil. 2015 FRAME.
ERIC Educational Resources Information Center
Giltrow, David
1978-01-01
One practical method which development film makers can adopt to increase comprehension of important scenes is to eliminate extraneous background information by putting it out of focus, or by shooting against plain backgrounds. (Author/STS)
Effective strategies for comprehensive corridor management
DOT National Transportation Integrated Search
2004-10-01
Despite the increasing importance of comprehensive corridor management at the state and local government level, questions remain regarding effective methods for developing and implementing corridor management plans. Further insight is also needed int...
Increase in Self-Injury as a Method of Self-Harm in Ghent, Belgium: 1987-2013
Vancayseele, Nikita; Portzky, Gwendolyn; van Heeringen, Kees
2016-01-01
Background Self-harm is a major health care problem and changes in its prevalence and characteristics can have important implications for suicide prevention. The objective was to describe trends in the epidemiology of self-harm based on emergency department (A&E departments) visits over a 26-year period in Ghent, Belgium. Methods We analyzed data on all self-harm presentations from the three large general hospitals in Ghent between 1987 and 2013. We investigated trends in prevalence (events by year per 100.000), methods and alcohol use. Results Rates of self-harm steadily decreased during the 26-year study period. In general female rates of self-harm were higher than male rates. The mean patient age was 35 years. The most commonly used method of self-harm was self-poisoning by means of an overdose of medication (80.8%), followed by cutting (10.2%) and hanging (4.2%). Psychotropics (including antidepressants, benzodiazepines, barbiturates and other tranquilizers) were the most frequently used drugs (74.5%). A proportional increase in the use of self-injurious methods in self-harm was highly significant, more specifically in the use of hanging, jumping from heights and the use of other violent methods such as the use of firearms, jumping before a moving object or other traffic related injury. Conclusion This epidemiological study showed an increase in the use of high-lethality methods in self-harm which has important implications for suicide prevention. As restrictions in the availability of these methods are difficult or impossible to achieve, prevention programmes will have to emphasize the role of thorough psychosocial assessment and adequate follow-up care of self-harm patients. PMID:27249421
NASA Technical Reports Server (NTRS)
Lundberg, J. B.; Feulner, M. R.; Abusali, P. A. M.; Ho, C. S.
1991-01-01
The method of modified back differences, a technique that significantly reduces the numerical integration errors associated with crossing shadow boundaries using a fixed-mesh multistep integrator without a significant increase in computer run time, is presented. While Hubbard's integral approach can produce significant improvements to the trajectory solution, the interpolation method provides the best overall results. It is demonstrated that iterating on the point mass term correction is also important for achieving the best overall results. It is also shown that the method of modified back differences can be implemented with only a small increase in execution time.
A guide to large-scale RNA sample preparation.
Baronti, Lorenzo; Karlsson, Hampus; Marušič, Maja; Petzold, Katja
2018-05-01
RNA is becoming more important as an increasing number of functions, both regulatory and enzymatic, are being discovered on a daily basis. As the RNA boom has just begun, most techniques are still in development and changes occur frequently. To understand RNA functions, revealing the structure of RNA is of utmost importance, which requires sample preparation. We review the latest methods to produce and purify a variation of RNA molecules for different purposes with the main focus on structural biology and biophysics. We present a guide aimed at identifying the most suitable method for your RNA and your biological question and highlighting the advantages of different methods. Graphical abstract In this review we present different methods for large-scale production and purification of RNAs for structural and biophysical studies.
Wininger, Austin E; Fischer, James P; Likine, Elive F; Gudeman, Andrew S; Brinker, Alexander R; Ryu, Jonathan; Maupin, Kevin A; Lunsford, Shatoria; Whipple, Elizabeth C; Loder, Randall T; Kacena, Melissa A
2017-12-01
In academia, authorship is considered a currency and is important for career advancement. As the Journal of Bone and Mineral Research (JBMR) is the highest-ranked journal in the field of bone, muscle, and mineral metabolism and is the official publication of the American Society for Bone and Mineral Research, we sought to examine authorship changes over JBMR's 30-year history. Two bibliometric methods were used to collect the data. The "decade method" included all published manuscripts throughout 1 year in each decade over the past 30 years starting with the inaugural year, yielding 746 manuscripts for analysis. The "random method" examined 10% of published manuscripts from each of the 30 years, yielding 652 manuscripts for analysis. Using both methods, the average number of authors per manuscript, numerical location of the corresponding author, number of collaborating institutions, number of collaborating countries, number of printed manuscript pages, and the number of times each manuscript was cited all significantly increased between 1986 and 2015 (p < 10 -4 ). Using the decade method, there was a significant increase in the percentage of female first authors over time from 35.8% in 1986 to 47.7% in 2015 (p = 0.02), and this trend was confirmed using the random method. The highest percentage of female first authors in 2015 was in Europe (60.0%), and Europe also had the most dramatic increase in female first authors over time (more than double in 2015 compared with 1986). Likewise, the overall number of female corresponding authors significantly increased during the past 30 years. With the increasing demands of publishing in academic medicine, understanding changes in publishing characteristics over time and by geographical region is important. These findings highlight JBMR's authorship trends over the past 30 years and demonstrate those countries having the most changes and where challenges still exist. © 2017 American Society for Bone and Mineral Research. © 2017 American Society for Bone and Mineral Research.
The Use of Mixed Methods for Therapeutic Massage Research
Porcino, Antony Joseph; Verhoef, Marja J.
2010-01-01
Mixed methods research is the integration of quantitative and qualitative components in a research project. Whether you are reading or designing a mixed methods research project, it is important to be familiar with both qualitative and quantitative research methods and the specific purposes for which they are brought together in a study: triangulation, complementarity, expansion, initiation, or development. In addition, decisions need to be made about the sequencing and the priority or importance of each qualitative and quantitative component relative to the other components, and the point or points at which the various qualitative and quantitative components will be integrated. Mixed methods research is increasingly being recognized for its ability to bring multiple points of view to a research project, taking advantage of the strengths of each of the quantitative and qualitative components to explain or resolve complex phenomena or results. This ability becomes critical when complex healing systems such as therapeutic massage are being studied. Complex healing systems may have multiple physiologic effects, often reflected in changes throughout the patient’s body. Additionally, the patient’s experience of the treatment may be an important outcome. PMID:21589698
Advances in the application of genetic manipulation methods to apicomplexan parasites.
Suarez, C E; Bishop, R P; Alzan, H F; Poole, W A; Cooke, B M
2017-10-01
Apicomplexan parasites such as Babesia, Theileria, Eimeria, Cryptosporidium and Toxoplasma greatly impact animal health globally, and improved, cost-effective measures to control them are urgently required. These parasites have complex multi-stage life cycles including obligate intracellular stages. Major gaps in our understanding of the biology of these relatively poorly characterised parasites and the diseases they cause severely limit options for designing novel control methods. Here we review potentially important shared aspects of the biology of these parasites, such as cell invasion, host cell modification, and asexual and sexual reproduction, and explore the potential of the application of relatively well-established or newly emerging genetic manipulation methods, such as classical transfection or gene editing, respectively, for closing important gaps in our knowledge of the function of specific genes and proteins, and the biology of these parasites. In addition, genetic manipulation methods impact the development of novel methods of control of the diseases caused by these economically important parasites. Transient and stable transfection methods, in conjunction with whole and deep genome sequencing, were initially instrumental in improving our understanding of the molecular biology of apicomplexan parasites and paved the way for the application of the more recently developed gene editing methods. The increasingly efficient and more recently developed gene editing methods, in particular those based on the CRISPR/Cas9 system and previous conceptually similar techniques, are already contributing to additional gene function discovery using reverse genetics and related approaches. However, gene editing methods are only possible due to the increasing availability of in vitro culture, transfection, and genome sequencing and analysis techniques. We envisage that rapid progress in the development of novel gene editing techniques applied to apicomplexan parasites of veterinary interest will ultimately lead to the development of novel and more efficient methods for disease control. Published by Elsevier Ltd.
Video-Stimulated Accounts: Young Children Accounting for Interactional Matters in Front of Peers
ERIC Educational Resources Information Center
Theobald, Maryanne
2012-01-01
Research in the early years places increasing importance on participatory methods to engage children. The playback of video-recording to stimulate conversation is a research method that enables children's accounts to be heard and attends to a participatory view. During video-stimulated sessions, participants watch an extract of video-recording of…
Spectral analysis of charcoal on soils: Implications for wildland fire severity mapping methods
Alistair M. S. Smith; Jan U. H. Eitel; Andrew T. Hudak
2010-01-01
Recent studies in the Western United States have supported climate scenarios that predict a higher occurrence of large and severe wildfires. Knowledge of the severity is important to infer long-term biogeochemical, ecological, and societal impacts, but understanding the sensitivity of any severity mapping method to variations in soil type and increasing charcoal (char...
NASA Astrophysics Data System (ADS)
Cheremkhin, Pavel A.; Evtikhiev, Nikolay N.; Krasnov, Vitaly V.; Rodin, Vladislav G.; Starikov, Sergey N.
2015-01-01
Digital holography is technique which includes recording of interference pattern with digital photosensor, processing of obtained holographic data and reconstruction of object wavefront. Increase of signal-to-noise ratio (SNR) of reconstructed digital holograms is especially important in such fields as image encryption, pattern recognition, static and dynamic display of 3D scenes, and etc. In this paper compensation of photosensor light spatial noise portrait (LSNP) for increase of SNR of reconstructed digital holograms is proposed. To verify the proposed method, numerical experiments with computer generated Fresnel holograms with resolution equal to 512×512 elements were performed. Simulation of shots registration with digital camera Canon EOS 400D was performed. It is shown that solo use of the averaging over frames method allows to increase SNR only up to 4 times, and further increase of SNR is limited by spatial noise. Application of the LSNP compensation method in conjunction with the averaging over frames method allows for 10 times SNR increase. This value was obtained for LSNP measured with 20 % error. In case of using more accurate LSNP, SNR can be increased up to 20 times.
Incentive program to strengthen motivation for increasing physical activity via conjoint analysis.
Matsushita, Munehiro; Harada, Kazuhiro; Arao, Takashi
2017-01-01
Objectives Promoting physical activity is a key public health issue. Incentive programs have attracted attention as a technique for promoting physical activity. For the use of effective incentives, there is a need to clarify the most effective incentive program conditions for the promotion of physical activity. Therefore, the present study used the conjoint analysis to examine the effective incentive program conditions for strengthening the motivation to increase physical activity.Methods Data on 1,998 subjects (aged 40-74) were analyzed. The main variables in this study were physical activity (IPAQ-Short Form) and the strengthening of motivation to increase physical activity. The incentive programs that were implemented, comprised four factors: 1) cash equivalents (1,000 yen, 2,000 yen, and 3,000 yen); 2) duration between increase in physical activity and receipt of the incentive (1, 2, or 3 months); 3) method to record the physical activity (recording sheet, recording website, and automatic pedometer recording); and 4) lottery (yes or no). Eleven incentive programs were created, which was the minimum number required for comparison of these factors and levels. The average importance of each of the four factors was calculated to compare their contributions to the strengthening of the motivation to increase physical activity. The utility of each level was also calculated to compare their contributions to the strengthening of motivation. All statistics were stratified by age (≤65 years and 65+ years) and physical activity (<150 min/week, 150+ min/week) for additional analysis.Results Cash incentives and the lottery ranked equally on average importance, followed by duration and recording methods. Utility was higher for each factor, as follows: 1) more valuable cash incentives, 2) shorter duration, 3) automatic pedometer recording, and 4) no lottery. There was no notable difference in the average importance and utility of age and physical activity.Conclusions The results of this study suggest that no lottery and more valuable incentives were important for improving the effectiveness of incentive programs in increasing physical activity. Moreover, these two factors would be important regardless of age and physical activity levels. Further intervention studies on incentive programs for increasing physical activity considering the present results are needed.
On importance assessment of aging multi-state system
NASA Astrophysics Data System (ADS)
Frenkel, Ilia; Khvatskin, Lev; Lisnianski, Anatoly
2017-01-01
Modern high-tech equipment requires precise temperature control and effective cooling below the ambient temperature. Greater cooling efficiencies will allow equipment to be operated for longer periods without overheating, providing a greater return on investment and increased in availability of the equipment. This paper presents application of the Lz-transform method to importance assessment of aging multi-state water-cooling system used in one of Israeli hospitals. The water cooling system consists of 3 principal sub-systems: chillers, heat exchanger and pumps. The performance of the system and the sub-systems is measured by their produced cooling capacity. Heat exchanger is an aging component. Straightforward Markov method applied to solve this problem will require building of a system model with numerous numbers of states and solving a corresponding system of multiple differential equations. Lz-transform method, which is used for calculation of the system elements importance, drastically simplified the solution. Numerical example is presented to illustrate the described approach.
U.S. Students Study Abroad in the Middle East/North Africa: Factors Influencing Growing Numbers
ERIC Educational Resources Information Center
Lane-Toomey, Cara K.; Lane, Shannon R.
2013-01-01
The political events of the last decade and the Arab Spring have made it more important than ever for Americans to understand the language, culture, and history of the Middle East/North Africa (MENA) region. Study abroad is one important method that can significantly increase American students' understanding of the Arabic language and the culture…
Trust-aware recommendation for improving aggregate diversity
NASA Astrophysics Data System (ADS)
Liu, Haifeng; Bai, Xiaomei; Yang, Zhuo; Tolba, Amr; Xia, Feng
2015-10-01
Recommender systems are becoming increasingly important and prevalent because of the ability of solving information overload. In recent years, researchers are paying increasing attention to aggregate diversity as a key metric beyond accuracy, because improving aggregate recommendation diversity may increase long tails and sales diversity. Trust is often used to improve recommendation accuracy. However, how to utilize trust to improve aggregate recommendation diversity is unexplored. In this paper, we focus on solving this problem and propose a novel trust-aware recommendation method by incorporating time factor into similarity computation. The rationale underlying the proposed method is that, trustees with later creation time of trust relation can bring more diverse items to recommend to their trustors than other trustees with earlier creation time of trust relation. Through relevant experiments on publicly available dataset, we demonstrate that the proposed method outperforms the baseline method in terms of aggregate diversity while maintaining almost the same recall.
Annealed importance sampling with constant cooling rate
NASA Astrophysics Data System (ADS)
Giovannelli, Edoardo; Cardini, Gianni; Gellini, Cristina; Pietraperzia, Giangaetano; Chelli, Riccardo
2015-02-01
Annealed importance sampling is a simulation method devised by Neal [Stat. Comput. 11, 125 (2001)] to assign weights to configurations generated by simulated annealing trajectories. In particular, the equilibrium average of a generic physical quantity can be computed by a weighted average exploiting weights and estimates of this quantity associated to the final configurations of the annealed trajectories. Here, we review annealed importance sampling from the perspective of nonequilibrium path-ensemble averages [G. E. Crooks, Phys. Rev. E 61, 2361 (2000)]. The equivalence of Neal's and Crooks' treatments highlights the generality of the method, which goes beyond the mere thermal-based protocols. Furthermore, we show that a temperature schedule based on a constant cooling rate outperforms stepwise cooling schedules and that, for a given elapsed computer time, performances of annealed importance sampling are, in general, improved by increasing the number of intermediate temperatures.
[Diagnosing imported helminthiasis].
Pardo, Javier; Pérez-Arellano, José Luis; Galindo, Inmaculada; Belhassen, Moncef; Cordero, Miguel; Muro, Antonio
2007-05-01
In recent years, there has been an increase in cases of imported helminthiasis in Spain because of two complementary causes: immigration and international travel. Although the prevalence of helminthiasis is high in the immigrant population, the risk of transmission to the Spanish population is low. In this review, we provide clues to aid in the diagnosis of the helminthiasis, highlighting the geographic characteristics, clinical findings and analytical results of the most frequent types. The low sensitivity of the classic parasitological diagnostic test, mainly in tissue helminthiasis, is described. In addition, the advantages and limitations of the common serological methods for detecting related circulating antigens and antibodies are presented. Certain molecular methods used in the diagnosis of imported helminthiasis and the best strategies for screening of this condition are discussed.
Assessing the direct effects of streamflow on recreation: a literature review
Brown, Thomas C.; Taylor, Jonathan G.; Shelby, Bo
1991-01-01
A variety of methods have been used to learn about the relation between streamflow and recreation quality. Regardless of method, nearly all studies found a similar nonlinear relation of recreation to flow, with quality increasing with flow to a point, and then decreasing for further increases in flow. Points of minimum, optimum, and maximum flow differ across rivers and activities. Knowledge of the effects of streamflow on recreation, for the variety of relevant activities and skill levels, is an important ingredient in the determination of wise streamflow policies.
The historical biogeography of Mammalia
Springer, Mark S.; Meredith, Robert W.; Janecka, Jan E.; Murphy, William J.
2011-01-01
Palaeobiogeographic reconstructions are underpinned by phylogenies, divergence times and ancestral area reconstructions, which together yield ancestral area chronograms that provide a basis for proposing and testing hypotheses of dispersal and vicariance. Methods for area coding include multi-state coding with a single character, binary coding with multiple characters and string coding. Ancestral reconstruction methods are divided into parsimony versus Bayesian/likelihood approaches. We compared nine methods for reconstructing ancestral areas for placental mammals. Ambiguous reconstructions were a problem for all methods. Important differences resulted from coding areas based on the geographical ranges of extant species versus the geographical provenance of the oldest fossil for each lineage. Africa and South America were reconstructed as the ancestral areas for Afrotheria and Xenarthra, respectively. Most methods reconstructed Eurasia as the ancestral area for Boreoeutheria, Euarchontoglires and Laurasiatheria. The coincidence of molecular dates for the separation of Afrotheria and Xenarthra at approximately 100 Ma with the plate tectonic sundering of Africa and South America hints at the importance of vicariance in the early history of Placentalia. Dispersal has also been important including the origins of Madagascar's endemic mammal fauna. Further studies will benefit from increased taxon sampling and the application of new ancestral area reconstruction methods. PMID:21807730
ERIC Educational Resources Information Center
Gosliner, Wendi
2014-01-01
Background: This study assessed associations between selective school-level factors and students' consumption of fruits and vegetables at school. Better understanding of school factors associated with increased produce consumption is especially important, as students are served more produce items at school. Methods: This cross-sectional study…
Novel DNPH-based method for determination of protein carbonylation in muscle and meat.
Soglia, Francesca; Petracci, Massimiliano; Ertbjerg, Per
2016-04-15
Protein oxidation is considered an ongoing deteriorative process during storage of fresh and processed meat. Carbonyl compounds have traditionally been detected spectrophotometrically after derivatization with 2,4-dinitrophenylhydrazine (DNPH) to form protein-bound hydrazones with absorbance at 370 nm. Here we describe a novel DNPH-based method to quantify protein carbonylation in muscle and meat. The additional steps of the novel method aimed at increasing the protein solubility and inducing protein unfolding before labeling with DNPH. Compared to the traditional method, the new procedure reflected an increased protein carbonylation level measuring overall two to fourfold more carbonyls in muscles from different species as well as in soluble, salt-soluble and insoluble protein fractions. The study suggested that protein unfolding is a more important phenomenon than solubilization for increased DNPH labeling. The novel method resulted in three to fourfold larger carbonyl content determined in chicken, pork and beef (2.8, 3.6 and 3.1 nmol/mg of protein, respectively). Copyright © 2015 Elsevier Ltd. All rights reserved.
Factors influencing notching and necrosis of Dracaena deremensis Warneckii foliage
DOE Office of Scientific and Technical Information (OSTI.GOV)
Conover, C.A.; Poole, R.T.
1973-01-01
Quality of Dracaena deremensis Warneckii Engler. cuttings imported from Puerto Rico deteriorated during propagation and growing in commercial nurseries in Apopka, Florida. Foliage became necrotic with reddish brown spots occurring along edges, particularly in the white areas. As plants increased in size, notches occurred in the leaves. Tissue analyses indicated that Ca and Cu content decreased, F increased and Mg, Fe, Zn and Mn increased then decreased with time from importation. To determine possible method of alleviating the notching and necrosis, three 3x2x2 factorial experiments were established in 3 shade levels. Varying rates of boron, Osmocote (18-6-12) and Perk, amore » micronutrient blend, were applied to rooted Warneckii. Osmocote and Perk levels had no effect on necrosis or notching. Increasing light increased necrosis and increasing B decreased no. of notched leaves of plants grown under 80% shade. 11 references, 4 tables.« less
Path Integral Monte Carlo Simulations of Warm Dense Matter and Plasmas
DOE Office of Scientific and Technical Information (OSTI.GOV)
Militzer, Burkhard
2018-01-13
New path integral Monte Carlo simulation (PIMC) techniques will be developed and applied to derive the equation of state (EOS) for the regime of warm dense matter and dense plasmas where existing first-principles methods cannot be applied. While standard density functional theory has been used to accurately predict the structure of many solids and liquids up to temperatures on the order of 10,000 K, this method is not applicable at much higher temperature where electronic excitations become important because the number of partially occupied electronic orbitals reaches intractably large numbers and, more importantly, the use of zero-temperature exchange-correlation functionals introducesmore » an uncontrolled approximation. Here we focus on PIMC methods that become more and more efficient with increasing temperatures and still include all electronic correlation effects. In this approach, electronic excitations increase the efficiency rather than reduce it. While it has commonly been assumed such methods can only be applied to elements without core electrons like hydrogen and helium, we recently showed how to extend PIMC to heavier elements by performing the first PIMC simulations of carbon and water plasmas [Driver, Militzer, Phys. Rev. Lett. 108 (2012) 115502]. Here we propose to continue this important development to extend the reach of PIMC simulations to yet heavier elements and also lower temperatures. The goal is to provide a robust first-principles simulation method that can accurately and efficiently study materials with excited electrons at solid-state densities in order to access parts of the phase diagram such the regime of warm dense matter and plasmas where so far only more approximate, semi-analytical methods could be applied.« less
Verbal and physical abuse against nurses in Turkey.
Celik, S S; Celik, Y; Ağirbaş, I; Uğurluoğlu, O
2007-12-01
This study of verbal and physical abuse against nurses in Turkey aimed to describe prevalence, sources, important effects on work, family and social life of the nurses, coping methods and factors. A sample of 622 nurses working in eight hospitals located in the capital city of Turkey was surveyed using verbal and physical abuse questionnaires. The prevalence of verbal and physical abuse against nurses in the sample of this study were found to be as 91.1% and 33.0% respectively. Colleagues were found to be the most important source of verbally abusive behaviours while patients and patients' relatives were the important sources of physically abusive behaviours. Disturbed mental health, decreased job performance and headache were the more frequently reported negative effects of verbal and physical abuses on nurses. The most common reactions against abusive behaviours were anger, helplessness, humiliation and depression. It is interesting to find that 'did nothing' was the most reported coping method with verbal abuse. The findings also suggested that working in inpatient units and increasing work experience in the nursing profession were statistically significant variables increasing the likelihood of being abused physically. All the results on sources, negative effects, feelings and coping methods on verbally and physically abusive behaviours lead us to discuss that lower working status and power of the nurses at the work, poor working conditions in healthcare settings and insufficient administrative mechanisms as well as law and regulations against the abusers are the important factors forcing the nurses to work in an inappropriate work environment in Turkey.
ERIC Educational Resources Information Center
Bray, Paula; Bundy, Anita C.; Ryan, Monique M.; North, Kathryn N.
2010-01-01
Measurement of quality of life is becoming increasingly important in health care. Self-reported quality of life is the preferred method of gathering this information, but children are often excluded from this process, their input being replaced by parent-proxy report. This feasibility study tested assessment of "daily" quality-of-life by a…
Validation of OVERFLOW for Supersonic Retropropulsion
NASA Technical Reports Server (NTRS)
Schauerhamer, Guy
2012-01-01
The goal is to softly land high mass vehicles (10s of metric tons) on Mars. Supersonic Retropropulsion (SRP) is a potential method of deceleration. Current method of supersonic parachutes does not scale past 1 metric ton. CFD is of increasing importance since flight and experimental data at these conditions is difficult to obtain. CFD must first be validated at these conditions.
M. D. Brinckman; J. F. Munsell
2009-01-01
Interest in wood-based bio-energy production systems is increasing. Multiscalar, mixed-method approaches focusing on both biophysical and social aspects of procurable feedstock are needed. Family forests will likely play an important role in supplying forest-based biomass. However, access depends in large part on the management trends among family forest owners. This...
ERIC Educational Resources Information Center
Arnold, Nike
2013-01-01
The ability to make effective use of technology is becoming increasingly important for prospective language teachers. As a result, many teacher preparation programs include some form of training in computer assisted language learning (CALL). This study focuses on one component of such training, the textbooks used in methods courses, and employs…
van der Sluijs, Winfried; Miller, Martine; MacGregor, Andy; Sharp, Clare; Amos, Amanda; Best, Catherine; Stead, Martine; Eadie, Douglas; Pearce, Jamie; Frank, John; Haw, Sally
2016-01-01
Introduction: As further restrictions have been placed on tobacco advertising and promotions, point-of-sale (PoS) displays of cigarettes in shops have become an increasingly important source of young people’s exposure to tobacco products. This study explored the relationship between PoS displays of cigarettes and brand awareness among secondary school students in Scotland. Methods: Cross-sectional school surveys (n = 1406) and focus groups (n = 86) were conducted with S2 (13–14 years) and S4 (15–16 years) students in four schools of differing socioeconomic status in 2013, prior to the PoS display ban in large shops. Adjusted negative binomial regression analysis examined associations between brand awareness and exposure variables (visiting tobacco retailers, noticing displays of tobacco products). Results: Students visiting small shops more frequently (relative rate ratio [RRR] 1.19, 95% confidence interval [CI] 1.01–1.41) and those who noticed cigarette displays in small shops (RRR 1.24, 95% CI 1.03–1.51) and large supermarkets (RRR 1.15, 95% CI 1.01–1.30) had higher brand awareness. The focus groups supported these findings. Participants described PoS tobacco displays as being eye-catching, colorful and potentially attractive to young people. Conclusions: This mixed-methods study showed that higher cigarette brand awareness was significantly associated with regularly visiting small shops and noticing PoS displays in small and large shops, even when students’ smoking status, smoking in their social networks, leisure activities, and demographics were included as confounding variables. This highlights the importance of PoS displays of tobacco products in increasing brand awareness, which is known to increase youth smoking susceptibility, and thus the importance of implementing PoS display bans in all shops. Implications: As increasing restrictions have been placed on tobacco promotion in many countries, PoS displays of cigarettes in shops have become an important source of young people’s exposure to tobacco products and marketing. This mixed-methods study showed that prior to the PoS display ban in Scotland, and controlling for other factors, 13- and 15-year olds who regularly visited small shops and those who noticed PoS displays in small and large shops, had a higher awareness of cigarette brands. This highlights the importance of PoS displays in increasing youth brand awareness, which increases smoking susceptibility, and thus the need for comprehensive bans on PoS displays which cover all shops. PMID:26883750
GStream: Improving SNP and CNV Coverage on Genome-Wide Association Studies
Alonso, Arnald; Marsal, Sara; Tortosa, Raül; Canela-Xandri, Oriol; Julià, Antonio
2013-01-01
We present GStream, a method that combines genome-wide SNP and CNV genotyping in the Illumina microarray platform with unprecedented accuracy. This new method outperforms previous well-established SNP genotyping software. More importantly, the CNV calling algorithm of GStream dramatically improves the results obtained by previous state-of-the-art methods and yields an accuracy that is close to that obtained by purely CNV-oriented technologies like Comparative Genomic Hybridization (CGH). We demonstrate the superior performance of GStream using microarray data generated from HapMap samples. Using the reference CNV calls generated by the 1000 Genomes Project (1KGP) and well-known studies on whole genome CNV characterization based either on CGH or genotyping microarray technologies, we show that GStream can increase the number of reliably detected variants up to 25% compared to previously developed methods. Furthermore, the increased genome coverage provided by GStream allows the discovery of CNVs in close linkage disequilibrium with SNPs, previously associated with disease risk in published Genome-Wide Association Studies (GWAS). These results could provide important insights into the biological mechanism underlying the detected disease risk association. With GStream, large-scale GWAS will not only benefit from the combined genotyping of SNPs and CNVs at an unprecedented accuracy, but will also take advantage of the computational efficiency of the method. PMID:23844243
Method of transition from 3D model to its ontological representation in aircraft design process
NASA Astrophysics Data System (ADS)
Govorkov, A. S.; Zhilyaev, A. S.; Fokin, I. V.
2018-05-01
This paper proposes the method of transition from a 3D model to its ontological representation and describes its usage in the aircraft design process. The problems of design for manufacturability and design automation are also discussed. The introduced method is to aim to ease the process of data exchange between important aircraft design phases, namely engineering and design control. The method is also intended to increase design speed and 3D model customizability. This requires careful selection of the complex systems (CAD / CAM / CAE / PDM), providing the basis for the integration of design and technological preparation of production and more fully take into account the characteristics of products and processes for their manufacture. It is important to solve this problem, as investment in the automation define the company's competitiveness in the years ahead.
ERIC Educational Resources Information Center
Unsal, Alaaddin; Ayranci, Unal
2008-01-01
Background: To determine the factors affecting the prevalence of depression and also to present some pertinent comments concerning prevention of depression among high school students. This study was deemed important and relevant due to the increasing importance of depression among high school students. Methods: A sample of students aged 14-19…
Microphytobenthos in ecotoxicology: a review of the use of marine benthic diatoms in bioassays.
Araújo, Cristiano V M; Blasco, Julián; Moreno-Garrido, Ignacio
2010-08-01
Contamination in coastal zones is an increasing problem that adversely affects biological diversity and the functioning of coastal ecosystems. Sediment is an important compartment of these zones since large quantities of diverse contaminants can accumulate there. Whole-sediment toxicity assays are of increasing importance, and several assay methods using mainly invertebrates have been developed. However, an important part of the benthic community, the microphytobenthos (represented principally by benthic diatoms and cyanobacteria), has surprisingly been neglected. Recently, comprehensive studies have been conducted using benthic marine microalgae with the object of establishing a toxicity assay method for sediment samples. The main results published to date in the literature and obtained by our own team have been compiled and are discussed in this review. The value and feasibility of using certain organisms of the microphytobenthos group in ecotoxicology studies are also discussed, and a sediment quality guideline based on multivariate procedure has been derived from data obtained in previous studies. Finally, future perspectives for research in this field are discussed. Copyright 2010 Elsevier Ltd. All rights reserved.
Innovative Use of Quality Management Methods for Product Improvement
NASA Astrophysics Data System (ADS)
Midor, Katarzyna; Žarnovský, Jozef
2016-12-01
Organisations constantly look for new, innovative solutions and methods which could be used to improve their efficiency and increase the quality of their products. Identifying the causes for returns is an important issue for modern companies, as returns are the cause for the increase in production costs and, most importantly, the loss of credibility in the eyes of the client. Therefore, for the company to be able to sustain or strengthen its position on the market, it has to follow the rules of quality management. Especially important is the rule of constant improvement. This rule is primarily connected with preventing errors and defects from occurring at all the stages of the production process. To achieve that, one must, among other things, use quality management tools. The article presents an analysis of causes for returns of a vibrating screen produced by a company which manufactures machinery and equipment for the extractive industry, using quality management tools such as the Ishikawa diagram and Pareto analysis. The analysis allowed for the identification of the causes of client returns which could not be previously identified, and proposing solutions for them.
Optimizing Fungal DNA Extraction Methods from Aerosol Filters
NASA Astrophysics Data System (ADS)
Jimenez, G.; Mescioglu, E.; Paytan, A.
2016-12-01
Fungi and fungal spores can be picked up from terrestrial ecosystems, transported long distances, and deposited into marine ecosystems. It is important to study dust-borne fungal communities, because they can stay viable and effect the ambient microbial populations, which are key players in biogeochemical cycles. One of the challenges of studying dust-borne fungal populations is that aerosol samples contain low biomass, making extracting good quality DNA very difficult. The aim of this project was to increase DNA yield by optimizing DNA extraction methods. We tested aerosol samples collected from Haifa, Israel (polycarbonate filter), Monterey Bay, CA (quartz filter) and Bermuda (quartz filter). Using the Qiagen DNeasy Plant Kit, we tested the effect of altering bead beating times and incubation times, adding three freeze and thaw steps, initially washing the filters with buffers for various lengths of time before using the kit, and adding a step with 30 minutes of sonication in 65C water. Adding three freeze/thaw steps, adding a sonication step, washing with a phosphate buffered saline overnight, and increasing incubation time to two hours, in that order, resulted in the highest increase in DNA for samples from Israel (polycarbonate). DNA yield of samples from Monterey (quart filter) increased about 5 times when washing with buffers overnight (phosphate buffered saline and potassium phophate buffer), adding a sonication step, and adding three freeze and thaw steps. Samples collected in Bermuda (quartz filter) had the highest increase in DNA yield from increasing incubation to 2 hours, increasing bead beating time to 6 minutes, and washing with buffers overnight (phosphate buffered saline and potassium phophate buffer). Our results show that DNA yield can be increased by altering various steps of the Qiagen DNeasy Plant Kit protocol, but different types of filters collected at different sites respond differently to alterations. These results can be used as preliminary results to continue developing fungi DNA extraction methods. Developing these methods will be important as dust storms are predicted to increase due to increased draughts and anthropogenic activity, and the fungal communities of these dust-storms are currently relatively understudied.
NASA Astrophysics Data System (ADS)
Sullivan, Patrick F.; Pattison, Robert R.; Brownlee, Annalis H.; Cahoon, Sean M. P.; Hollingsworth, Teresa N.
2016-11-01
Boreal forests are critical sinks in the global carbon cycle. However, recent studies have revealed increasing frequency and extent of wildfires, decreasing landscape greenness, increasing tree mortality and declining growth of black and white spruce in boreal North America. We measured ring widths from a large set of increment cores collected across a vast area of interior Alaska and examined implications of data processing decisions for apparent trends in black and white spruce growth. We found that choice of detrending method had important implications for apparent long-term growth trends and the strength of climate-growth correlations. Trends varied from strong increases in growth since the Industrial Revolution, when ring widths were detrended using single-curve regional curve standardization (RCS), to strong decreases in growth, when ring widths were normalized by fitting a horizontal line to each ring width series. All methods revealed a pronounced growth peak for black and white spruce centered near 1940. Most detrending methods showed a decline from the peak, leaving recent growth of both species near the long-term mean. Climate-growth analyses revealed negative correlations with growing season temperature and positive correlations with August precipitation for both species. Multiple-curve RCS detrending produced the strongest and/or greatest number of significant climate-growth correlations. Results provide important historical context for recent growth of black and white spruce. Growth of both species might decline with future warming, if not mitigated by increasing precipitation. However, widespread drought-induced mortality is probably not imminent, given that recent growth was near the long-term mean.
Synthesis and characterization of LiFePO4/C cathode materials by sol-gel method.
Liu, Shuxin; Yin, Hengbo; Wang, Haibin; Wang, Hong
2014-09-01
The carbon coated LiFePO4 cathode materials (LiFePO4/C) were successfully synthesized by sol-gel method with glucose, citric acid and PEG-4000 as dispersant and carbon source, respectively. The microstructure and grain size of LiFePO4/C composite were characterized by X-ray diffraction, Raman spectroscopy, transmission electron microscopy. The results showed that the carbon source and calcination temperature had important effect on the graphitization degree of carbon; the carbon decomposed by citric acid had higher graphitization degree; with calcination temperature rising, the graphitization degree of carbon increased and the particles size increased. The graphitization degree and grain size were very important for improving the electrochemical performance of LiFePO4 cathode materials, according to the experimental results, the sample LFP-700 (LFP-C) which was synthesized with citric acid as dispersant at 700 degree C had lower polarization and larger discharge capacity.
Parameter optimization of flux-aided backing-submerged arc welding by using Taguchi method
NASA Astrophysics Data System (ADS)
Pu, Juan; Yu, Shengfu; Li, Yuanyuan
2017-07-01
Flux-aided backing-submerged arc welding has been conducted on D36 steel with thickness of 20 mm. The effects of processing parameters such as welding current, voltage, welding speed and groove angle on welding quality were investigated by Taguchi method. The optimal welding parameters were predicted and the individual importance of each parameter on welding quality was evaluated by examining the signal-to-noise ratio and analysis of variance (ANOVA) results. The importance order of the welding parameters for the welding quality of weld bead was: welding current > welding speed > groove angle > welding voltage. The welding quality of weld bead increased gradually with increasing welding current and welding speed and decreasing groove angle. The optimum values of the welding current, welding speed, groove angle and welding voltage were found to be 1050 A, 27 cm/min, 40∘ and 34 V, respectively.
Illicit cigarette trade in Thailand.
Pavananunt, Pirudee
2011-11-01
The sale and consumption of illicit tobacco increases consumption, impacts public health, reduces tax revenue and provides an argument against tax increases. Thailand has some of the best tobacco control policies in Southeast Asia with one of the highest tobacco tax rates, but illicit trade has the potential to undermine these policies and needs investigating. Two approaches were used to assess illicit trade between 1991 and 2006: method 1, comparison of tobacco used based on tobacco taxes paid and survey data, and method 2, discrepancies between export data from countries exporting tobacco to Thailand and Thai official data regarding imports. A three year average was used to smooth differences due to lags between exports and imports. For 1991-2006, the estimated manufactured cigarette consumption from survey data was considerably lower than sales tax paid, so method 1 did not provide evidence of cigarette tax avoidance. Using method 2 the trade difference between reported imports and exports, indicates 10% of cigarettes consumed in Thailand (242 million packs per year) between 2004 and 2006 were illicit. The loss of revenue amounted to 4,508 million Baht (2002 prices) in the same year, that was 14% of the total cigarette tax revenue. Cigarette excise tax rates had a negative relationship with consumption trends but no relation with the level of illicit trade. There is a need for improved policies against smuggling to combat the rise in illicit tobacco consumption. Regional coordination and implementation of protocols on illicit trade would help reduce incentives for illegal tax avoidance.
ILLICIT CIGARETTE TRADE IN THAILAND
Pavananunt, Pirudee
2012-01-01
The sale and consumption of illicit tobacco increases consumption, impacts public health, reduces tax revenue and provides an argument against tax increases. Thailand has some of the best tobacco control policies in Southeast Asia with one of the highest tobacco tax rates, but illicit trade has the potential to undermine these policies and needs investigating. Two approaches were used to assess illicit trade between 1991 and 2006: method 1, comparison of tobacco used based on tobacco taxes paid and survey data, and method 2, discrepancies between export data from countries exporting tobacco to Thailand and Thai official data regarding imports. A three year average was used to smooth differences due to lags between exports and imports. For 1991–2006, the estimated manufactured cigarette consumption from survey data was considerably lower than sales tax paid, so method 1 did not provide evidence of cigarette tax avoidance. Using method 2 the trade difference between reported imports and exports, indicates 10% of cigarettes consumed in Thailand (242 million packs per year) between 2004 and 2006 were illicit. The loss of revenue amounted to 4,508 million Baht (2002 prices) in the same year, that was 14% of the total cigarette tax revenue. Cigarette excise tax rates had a negative relationship with consumption trends but no relation with the level of illicit trade. There is a need for improved policies against smuggling to combat the rise in illicit tobacco consumption. Regional coordination and implementation of protocols on illicit trade would help reduce incentives for illegal tax avoidance. PMID:22299425
NASA Astrophysics Data System (ADS)
Chen, Xinjia; Lacy, Fred; Carriere, Patrick
2015-05-01
Sequential test algorithms are playing increasingly important roles for quick detecting network intrusions such as portscanners. In view of the fact that such algorithms are usually analyzed based on intuitive approximation or asymptotic analysis, we develop an exact computational method for the performance analysis of such algorithms. Our method can be used to calculate the probability of false alarm and average detection time up to arbitrarily pre-specified accuracy.
MRSA infections in Norway: A study of the temporal evolution, 2006-2015
Bjørnholt, Jørgen Vildershøj; Leegaard, Truls Michael; Moen, Aina E. Fossum; de Blasio, Birgitte Freiesleben
2017-01-01
Background Norway has one of the lowest prevalences of methicillin-resistant Staphylococcus aureus (MRSA) infections in the world. This study exploits the extensive data on MRSA infections in the Norwegian surveillance system to investigate the important factors defining the MRSA epidemiology. Methods We performed a quasi-Poisson regression of the monthly notification rate (NR) of MRSA infections reported from January 2006 to December 2015, comparing the time trend among people with an immigrant vs. Norwegian background and domestic vs. imported infections, stratified by age groups. Findings A total of 5289 MRSA infections were reported during the study period, of which 2255 (42·6%) were acquired in Norway, 1370 (25·9%) abroad, and 1664 (31·5%) with an unknown place of acquisition. Overall, the monthly NR increased significantly from 2006 to 2015 (+0·8% each month). The monthly increase in immigrants (+1·3%) was steeper than that in people with a Norwegian background (+0·6%). There was a significant growth (+0·4%) in the rate of domestically acquired infections, however, the NR of infections acquired abroad increased faster (+0·8%). For both imported and domestic infections, the increase occurred in persons aged < 70 years. Interpretation Our analysis suggests that immigration and importation, especially among persons aged < 40 years, represent important factors for the increasing notification rate of MRSA infections in Norway. PMID:28640901
1993-08-01
identify a method to improve the effectiveness of the current survey process to increase the response rate of the patients being sampled. As health care... consumer must have adequate representation to provide meaningful information for decision making by the health care organization. Background of the...the Total Quality Management (TQM) philosophy into the health care industry has increased the importance of listening to the customer (Matthews, 1992
Promoting protein crystallization using a plate with simple geometry.
Chen, Rui-Qing; Yin, Da-Chuan; Liu, Yong-Ming; Lu, Qin-Qin; He, Jin; Liu, Yue
2014-03-01
Increasing the probability of obtaining protein crystals in crystallization screening is always an important goal for protein crystallography. In this paper, a new method called the cross-diffusion microbatch (CDM) method is presented, which aims to efficiently promote protein crystallization and increase the chance of obtaining protein crystals. In this method, a very simple crystallization plate was designed in which all crystallization droplets are in one sealed space, so that a variety of volatile components from one droplet can diffuse into any other droplet via vapour diffusion. Crystallization screening and reproducibility tests indicate that this method could be a potentially powerful technique in practical protein crystallization screening. It can help to obtain crystals with higher probability and at a lower cost, while using a simple and easy procedure.
Black, Stuart; Ferrell, Jack R
2017-02-07
Carbonyl compounds present in bio-oils are known to be responsible for bio-oil property changes upon storage and during upgrading. Specifically, carbonyls cause an increase in viscosity (often referred to as 'aging') during storage of bio-oils. As such, carbonyl content has previously been used as a method of tracking bio-oil aging and condensation reactions with less variability than viscosity measurements. Additionally, carbonyls are also responsible for coke formation in bio-oil upgrading processes. Given the importance of carbonyls in bio-oils, accurate analytical methods for their quantification are very important for the bio-oil community. Potentiometric titration methods based on carbonyl oximation have long been used for the determination of carbonyl content in pyrolysis bio-oils. Here, we present a modification of the traditional carbonyl oximation procedures that results in less reaction time, smaller sample size, higher precision, and more accurate carbonyl determinations. While traditional carbonyl oximation methods occur at room temperature, the Faix method presented here occurs at an elevated temperature of 80 °C.
Leveraging modern climatology to increase adaptive capacity across protected area networks
Davison, J.E.; Graumlich, L.J.; Rowland, E.L.; Pederson, G.T.; Breshears, D.D.
2012-01-01
Human-driven changes in the global environment pose an increasingly urgent challenge for the management of ecosystems that is made all the more difficult by the uncertain future of both environmental conditions and ecological responses. Land managers need strategies to increase regional adaptive capacity, but relevant and rapid assessment approaches are lacking. To address this need, we developed a method to assess regional protected area networks across biophysically important climatic gradients often linked to biodiversity and ecosystem function. We plot the land of the southwestern United States across axes of historical climate space, and identify landscapes that may serve as strategic additions to current protected area portfolios. Considering climate space is straightforward, and it can be applied using a variety of relevant climate parameters across differing levels of land protection status. The resulting maps identify lands that are climatically distinct from existing protected areas, and may be utilized in combination with other ecological and socio-economic information essential to collaborative landscape-scale decision-making. Alongside other strategies intended to protect species of special concern, natural resources, and other ecosystem services, the methods presented herein provide another important hedging strategy intended to increase the adaptive capacity of protected area networks. ?? 2011 Elsevier Ltd.
Mormul, Roger P; Mormul, Tayla D S; Santos, Gustavo M B; Santana, Ana R A
2017-05-01
Biodiversity decline has been the focus of discussions in the last decade, especially on the amphibian species decline. After a scientometric analysis using international databases, we found that the number of peer-reviewed articles considering education practices related to the theme increased along with the number of ecological researches. However, the increase in ecological researches is much higher than the increase in publications of education practices. Studies suggest that conservation attitudes are important and that education practices are an important tool for improving human perceptions on this subject. In this sense, increase the publication of projects and programs results related to local education practices in international journals could help the dissemination of efficient methods for conservation, as well as facilitating access to information internationally, since species decline, especially for amphibians, is a global concern. Then, we suggest that educational practices, at least when related to conservation, should follow a more standardized protocol, and be published in international journals, as the efficiency of such practices should be evaluated and methods once published could help other nations to improve their ecological literacy.
McGarty, Arlene M; Melville, Craig A
2018-02-01
There is a need increase our understanding of what factors affect physical activity participation in children with intellectual disabilities (ID) and develop effective methods to overcome barriers and increase activity levels. This study aimed to systematically review parental perceptions of facilitators and barriers to physical activity for children with ID. A systematic search of Embase, Medline, ERIC, Web of Science, and PsycINFO was conducted (up to and including August, 2017) to identify relevant papers. A meta-ethnography approach was used to synthesise qualitative and quantitative results through the generation of third-order themes and a theoretical model. Ten studies were included, which ranged from weak to strong quality. Seventy-one second-order themes and 12 quantitative results were extracted. Five third-order themes were developed: family, child factors, inclusive programmes and facilities, social motivation, and child's experiences of physical activity. It is theorised that these factors can be facilitators or barriers to physical activity, depending on the information and education of relevant others, e.g. parents and coaches. Parents have an important role in supporting activity in children with ID. Increasing the information and education given to relevant others could be an important method of turning barriers into facilitators. Copyright © 2017 Elsevier Ltd. All rights reserved.
An efficient higher order family of root finders
NASA Astrophysics Data System (ADS)
Petkovic, Ljiljana D.; Rancic, Lidija; Petkovic, Miodrag S.
2008-06-01
A one parameter family of iterative methods for the simultaneous approximation of simple complex zeros of a polynomial, based on a cubically convergent Hansen-Patrick's family, is studied. We show that the convergence of the basic family of the fourth order can be increased to five and six using Newton's and Halley's corrections, respectively. Since these corrections use the already calculated values, the computational efficiency of the accelerated methods is significantly increased. Further acceleration is achieved by applying the Gauss-Seidel approach (single-step mode). One of the most important problems in solving nonlinear equations, the construction of initial conditions which provide both the guaranteed and fast convergence, is considered for the proposed accelerated family. These conditions are computationally verifiable; they depend only on the polynomial coefficients, its degree and initial approximations, which is of practical importance. Some modifications of the considered family, providing the computation of multiple zeros of polynomials and simple zeros of a wide class of analytic functions, are also studied. Numerical examples demonstrate the convergence properties of the presented family of root-finding methods.
Teaching method validation in the clinical laboratory science curriculum.
Moon, Tara C; Legrys, Vicky A
2008-01-01
With the Clinical Laboratory Improvement Amendment's (CLIA) final rule, the ability of the Clinical Laboratory Scientist (CLS) to perform method validation has become increasingly important. Knowledge of the statistical methods and procedures used in method validation is imperative for clinical laboratory scientists. However, incorporating these concepts in a CLS curriculum can be challenging, especially at a time of limited resources. This paper provides an outline of one approach to addressing these topics in lecture courses and integrating them in the student laboratory and the clinical practicum for direct application.
Fish genome manipulation and directional breeding.
Ye, Ding; Zhu, ZuoYan; Sun, YongHua
2015-02-01
Aquaculture is one of the fastest developing agricultural industries worldwide. One of the most important factors for sustainable aquaculture is the development of high performing culture strains. Genome manipulation offers a powerful method to achieve rapid and directional breeding in fish. We review the history of fish breeding methods based on classical genome manipulation, including polyploidy breeding and nuclear transfer. Then, we discuss the advances and applications of fish directional breeding based on transgenic technology and recently developed genome editing technologies. These methods offer increased efficiency, precision and predictability in genetic improvement over traditional methods.
Optimized Design of Spacer in Electrodialyzer Using CFD Simulation Method
NASA Astrophysics Data System (ADS)
Jia, Yuxiang; Yan, Chunsheng; Chen, Lijun; Hu, Yangdong
2018-06-01
In this study, the effects of length-width ratio and diversion trench of the spacer on the fluid flow behavior in an electrodialyzer have been investigated through CFD simulation method. The relevant information, including the pressure drop, velocity vector distribution and shear stress distribution, demonstrates the importance of optimized design of the spacer in an electrodialysis process. The results show width of the diversion trench has a great effect on the fluid flow compared with length. Increase of the diversion trench width could strength the fluid flow, but also increase the pressure drop. Secondly, the dead zone of the fluid flow decreases with increase of length-width ratio of the spacer, but the pressure drop increases with the increase of length-width ratio of the spacer. So the appropriate length-width ratio of the space should be moderate.
Ullah, Md Ahsan; Kim, Ki-Hyun; Szulejko, Jan E; Cho, Jinwoo
2014-04-11
The production of short-chained volatile fatty acids (VFAs) by the anaerobic bacterial digestion of sewage (wastewater) affords an excellent opportunity to alternative greener viable bio-energy fuels (i.e., microbial fuel cell). VFAs in wastewater (sewage) samples are commonly quantified through direct injection (DI) into a gas chromatograph with a flame ionization detector (GC-FID). In this study, the reliability of VFA analysis by the DI-GC method has been examined against a thermal desorption (TD-GC) method. The results indicate that the VFA concentrations determined from an aliquot from each wastewater sample by the DI-GC method were generally underestimated, e.g., reductions of 7% (acetic acid) to 93.4% (hexanoic acid) relative to the TD-GC method. The observed differences between the two methods suggest the possibly important role of the matrix effect to give rise to the negative biases in DI-GC analysis. To further explore this possibility, an ancillary experiment was performed to examine bias patterns of three DI-GC approaches. For instance, the results of the standard addition (SA) method confirm the definite role of matrix effect when analyzing wastewater samples by DI-GC. More importantly, their biases tend to increase systematically with increasing molecular weight and decreasing VFA concentrations. As such, the use of DI-GC method, if applied for the analysis of samples with a complicated matrix, needs a thorough validation to improve the reliability in data acquisition. Copyright © 2014 Elsevier B.V. All rights reserved.
Increasing influence of heat stress on French maize yields from the 1960s to the 2030s
Hawkins, Ed; Fricker, Thomas E; Challinor, Andrew J; Ferro, Christopher A T; Kit Ho, Chun; Osborne, Tom M
2013-01-01
Improved crop yield forecasts could enable more effective adaptation to climate variability and change. Here, we explore how to combine historical observations of crop yields and weather with climate model simulations to produce crop yield projections for decision relevant timescales. Firstly, the effects on historical crop yields of improved technology, precipitation and daily maximum temperatures are modelled empirically, accounting for a nonlinear technology trend and interactions between temperature and precipitation, and applied specifically for a case study of maize in France. The relative importance of precipitation variability for maize yields in France has decreased significantly since the 1960s, likely due to increased irrigation. In addition, heat stress is found to be as important for yield as precipitation since around 2000. A significant reduction in maize yield is found for each day with a maximum temperature above 32 °C, in broad agreement with previous estimates. The recent increase in such hot days has likely contributed to the observed yield stagnation. Furthermore, a general method for producing near-term crop yield projections, based on climate model simulations, is developed and utilized. We use projections of future daily maximum temperatures to assess the likely change in yields due to variations in climate. Importantly, we calibrate the climate model projections using observed data to ensure both reliable temperature mean and daily variability characteristics, and demonstrate that these methods work using retrospective predictions. We conclude that, to offset the projected increased daily maximum temperatures over France, improved technology will need to increase base level yields by 12% to be confident about maintaining current levels of yield for the period 2016–2035; the current rate of yield technology increase is not sufficient to meet this target. PMID:23504849
Assessment of polar climate change using satellite technology
NASA Technical Reports Server (NTRS)
Hall, Dorothy K.
1988-01-01
Using results of selected studies, this paper highlights some of the problems that exist in the remote sensing of snow and ice, and demonstrates the importance of remote sensing for the study of snow and ice in determining the effect of temperature increase, due to the atmospheric CO2 increase, on the cryospheric features. Evidence obtained from NOAA, Nimbus, and other satellites, that may already indicate a global or at least a regional warming, includes an increase in permafrost temperature in northern Alaska and the retreat of many of the world's small glaciers in the last 100 years. It is emphasized that remote sensing is of major importance as the method of obtaining data for monitoring future changes in cryospheric features.
A new battery-charging method suggested by molecular dynamics simulations.
Abou Hamad, Ibrahim; Novotny, M A; Wipf, D O; Rikvold, P A
2010-03-20
Based on large-scale molecular dynamics simulations, we propose a new charging method that should be capable of charging a lithium-ion battery in a fraction of the time needed when using traditional methods. This charging method uses an additional applied oscillatory electric field. Our simulation results show that this charging method offers a great reduction in the average intercalation time for Li(+) ions, which dominates the charging time. The oscillating field not only increases the diffusion rate of Li(+) ions in the electrolyte but, more importantly, also enhances intercalation by lowering the corresponding overall energy barrier.
Endobronchial Ultrasound (EBUS) - Update 2017.
Darwiche, Kaid; Özkan, Filiz; Wolters, Celina; Eisenmann, Stephan
2018-02-01
Endobronchial ultrasound (EBUS) has revolutionized the diagnosis of lung cancer over the last decade. This minimally invasive diagnostic method has also become increasingly important in the case of other diseases such as sarcoidosis, thereby helping to avoid unnecessary diagnostic interventions. This review article provides an update regarding EBUS and discusses current and future developments of this method. © Georg Thieme Verlag KG Stuttgart · New York.
Computer simulation and implementation of defected ground structure on a microstrip antenna
NASA Astrophysics Data System (ADS)
Adrian, H.; Rambe, A. H.; Suherman
2018-03-01
Defected Ground Structure (DGS) is a method reducing etching area on antenna ground to form desirable antenna’s ground field. This paper reports the method impact on microstrip antennas working on 1800 and 2400 MHz. These frequencies are important as many radio network applications such mobile phones and wireless devices working on these channels. The assessments were performed by simulating and fabricating the evaluated antennas. Both simulation data and implementation measurements show that DGS successfully improves antenna performances by increasing bandwidth up to 19%, reducing return loss up to 109% and increasing gain up to 33%.
[Bias of results in clinical research due to method of informed consent].
Appels, C W Y
2007-03-24
Research ethics committees increasingly demand that investigators use an opt-in method (prior informed consent) to recruit their potential participants. Recent research has shown that opt-in systems of recruitment increase the response bias and reduce response rates. People willing to participate seem to find it burdensome to opt in. In contrast to this, public concern about an opt-out approach is minimal and will probably be outweighed by the potential harm caused by biased results from opt-in approaches. Concerns about protecting the rights of the individual should not override the importance of recruiting patients in medical research.
The sensitivity of relative toxicity rankings by the USF/NASA test method to some test variables
NASA Technical Reports Server (NTRS)
Hilado, C. J.; Labossiere, L. A.; Leon, H. A.; Kourtides, D. A.; Parker, J. A.; Hsu, M.-T. S.
1976-01-01
Pyrolysis temperature and the distance between the source and sensor of effluents are two important variables in tests for relative toxicity. Modifications of the USF/NASA toxicity screening test method to increase the upper temperature limit of pyrolysis, reduce the distance between the sample and the test animals, and increase the chamber volume available for animal occupancy, did not significantly alter rankings of relative toxicity of four representative materials. The changes rendered some differences no longer significant, but did not reverse any rankings. The materials studied were cotton, wool, aromatic polyamide, and polybenzimidazole.
Improving Hospital Discharge Planning for Elderly Patients
Potthoff, Sandra; Kane, Robert L.; Franco, Sheila J.
1997-01-01
Hospital discharge planning has become increasingly important in an era of prospective payment and managed care. Given the changes in tasks, decisions, and environments involved, it is important to identify how to move such planning from an art to an empirically based decisionmaking process. The authors use a decision-sciences framework to review the state-of-the-art of hospital discharge planning and to suggest methods for improvement. PMID:10345406
Aerobic conditioning for team sport athletes.
Stone, Nicholas M; Kilding, Andrew E
2009-01-01
Team sport athletes require a high level of aerobic fitness in order to generate and maintain power output during repeated high-intensity efforts and to recover. Research to date suggests that these components can be increased by regularly performing aerobic conditioning. Traditional aerobic conditioning, with minimal changes of direction and no skill component, has been demonstrated to effectively increase aerobic function within a 4- to 10-week period in team sport players. More importantly, traditional aerobic conditioning methods have been shown to increase team sport performance substantially. Many team sports require the upkeep of both aerobic fitness and sport-specific skills during a lengthy competitive season. Classic team sport trainings have been shown to evoke marginal increases/decreases in aerobic fitness. In recent years, aerobic conditioning methods have been designed to allow adequate intensities to be achieved to induce improvements in aerobic fitness whilst incorporating movement-specific and skill-specific tasks, e.g. small-sided games and dribbling circuits. Such 'sport-specific' conditioning methods have been demonstrated to promote increases in aerobic fitness, though careful consideration of player skill levels, current fitness, player numbers, field dimensions, game rules and availability of player encouragement is required. Whilst different conditioning methods appear equivalent in their ability to improve fitness, whether sport-specific conditioning is superior to other methods at improving actual game performance statistics requires further research.
Logan, Rachel G; Thompson, Erika L; Vamos, Cheryl A; Griner, Stacey B; Vázquez-Otero, Coralia; Daley, Ellen M
2018-06-23
Objective To assess LARC use trends among college women (18-24 years) and identify groups that have increased LARC use. Methods Data were extracted from the National College Health Assessment-II (NCHA-II) fall 2008-2013 surveys. Logistic regression statistics were used to assess LARC use. Results Although LARC use increased from 2008 to 2013 (aOR = 2.62; 95% CI 2.23-3.07), less than half of the sample (44%) reported using contraception at last vaginal sex. Only 2.5% of college women in this study reported using a LARC method; of LARC users, 90% reported using an intrauterine device. Nearly all sociodemographic factors were significantly associated with increases in LARC use including: age, sexual orientation, and insurance status. Conclusions LARC use significantly increased among college women. However, less effective methods such as condoms and short-acting reversible contraceptives are used more frequently. Promoting LARC use for women who desire to effectively prevent pregnancy can reduce unintended pregnancy and improve health outcomes for women while in college. Future work should examine the importance of individual and lifestyle factors that influence college women's decision to choose a LARC method and seek to eliminate barriers to college women choosing a contraceptive method they believe works best for them.
DNA-COMPACT: DNA COMpression Based on a Pattern-Aware Contextual Modeling Technique
Li, Pinghao; Wang, Shuang; Kim, Jihoon; Xiong, Hongkai; Ohno-Machado, Lucila; Jiang, Xiaoqian
2013-01-01
Genome data are becoming increasingly important for modern medicine. As the rate of increase in DNA sequencing outstrips the rate of increase in disk storage capacity, the storage and data transferring of large genome data are becoming important concerns for biomedical researchers. We propose a two-pass lossless genome compression algorithm, which highlights the synthesis of complementary contextual models, to improve the compression performance. The proposed framework could handle genome compression with and without reference sequences, and demonstrated performance advantages over best existing algorithms. The method for reference-free compression led to bit rates of 1.720 and 1.838 bits per base for bacteria and yeast, which were approximately 3.7% and 2.6% better than the state-of-the-art algorithms. Regarding performance with reference, we tested on the first Korean personal genome sequence data set, and our proposed method demonstrated a 189-fold compression rate, reducing the raw file size from 2986.8 MB to 15.8 MB at a comparable decompression cost with existing algorithms. DNAcompact is freely available at https://sourceforge.net/projects/dnacompact/for research purpose. PMID:24282536
Analytical Modeling of Acoustic Phonon-Limited Mobility in Strained Graphene Nanoribbons
NASA Astrophysics Data System (ADS)
Yousefvand, Ali; Ahmadi, Mohammad T.; Meshginqalam, Bahar
2017-11-01
Recent advances in graphene nanoribbon-based electronic devices encourage researchers to develop modeling and simulation methods to explore device physics. On the other hand, increasing the operating speed of nanoelectronic devices has recently attracted significant attention, and the modification of acoustic phonon interactions because of their important effect on carrier mobility can be considered as a method for carrier mobility optimization which subsequently enhances the device speed. Moreover, strain has an important influence on the electronic properties of the nanoelectronic devices. In this paper, the acoustic phonons mobility of armchair graphene nanoribbons ( n-AGNRs) under uniaxial strain is modeled analytically. In addition, strain, width and temperature effects on the acoustic phonon mobility of strained n-AGNRs are investigated. An increment in the strained AGNR acoustic phonon mobility by increasing the ribbon width is reported. Additionally, two different behaviors for the acoustic phonon mobility are verified by increasing the applied strain in 3 m, 3 m + 2 and 3 m + 1 AGNRs. Finally, the temperature effect on the modeled AGNR phonon mobility is explored, and mobility reduction by raising the temperature is reported.
Automated seed localization from CT datasets of the prostate.
Brinkmann, D H; Kline, R W
1998-09-01
With the increasing utilization of permanent brachytherapy implants for treating carcinoma of the prostate, the importance of accurate post-treatment dose calculation also increases for assessing patient outcome and planning future treatments. An automatic method for seed localization of permanent brachytherapy implants, using CT datasets of the prostate, has been developed and tested on a phantom using an actual patient planned seed distribution. This method was also compared to results with the three-film technique for three patient datasets. The automatic method is as accurate or more accurate than the three film technique for 1 mm, 3 mm, and 5 mm contiguous CT slices, and eliminates the inter- and intra-observer variability of the manual methods. The automated method improves the localization of brachytherapy seeds while reducing the time required for the user to input information, and is demonstrated to be less operator dependent, less time consuming, and potentially more accurate than the three-film technique.
Measurement of company effectiveness using analytic network process method
NASA Astrophysics Data System (ADS)
Goran, Janjić; Zorana, Tanasić; Borut, Kosec
2017-07-01
The sustainable development of an organisation is monitored through the organisation's performance, which beforehand incorporates all stakeholders' requirements in its strategy. The strategic management concept enables organisations to monitor and evaluate their effectiveness along with efficiency by monitoring of the implementation of set strategic goals. In the process of monitoring and measuring effectiveness, an organisation can use multiple-criteria decision-making methods as help. This study uses the method of analytic network process (ANP) to define the weight factors of the mutual influences of all the important elements of an organisation's strategy. The calculation of an organisation's effectiveness is based on the weight factors and the degree of fulfilment of the goal values of the strategic map measures. New business conditions influence the changes in the importance of certain elements of an organisation's business in relation to competitive advantage on the market, and on the market, increasing emphasis is given to non-material resources in the process of selection of the organisation's most important measures.
Fuzzy method of recognition of high molecular substances in evidence-based biology
NASA Astrophysics Data System (ADS)
Olevskyi, V. I.; Smetanin, V. T.; Olevska, Yu. B.
2017-10-01
Nowadays modern requirements to achieving reliable results along with high quality of researches put mathematical analysis methods of results at the forefront. Because of this, evidence-based methods of processing experimental data have become increasingly popular in the biological sciences and medicine. Their basis is meta-analysis, a method of quantitative generalization of a large number of randomized trails contributing to a same special problem, which are often contradictory and performed by different authors. It allows identifying the most important trends and quantitative indicators of the data, verification of advanced hypotheses and discovering new effects in the population genotype. The existing methods of recognizing high molecular substances by gel electrophoresis of proteins under denaturing conditions are based on approximate methods for comparing the contrast of electrophoregrams with a standard solution of known substances. We propose a fuzzy method for modeling experimental data to increase the accuracy and validity of the findings of the detection of new proteins.
Recursive regularization for inferring gene networks from time-course gene expression profiles
Shimamura, Teppei; Imoto, Seiya; Yamaguchi, Rui; Fujita, André; Nagasaki, Masao; Miyano, Satoru
2009-01-01
Background Inferring gene networks from time-course microarray experiments with vector autoregressive (VAR) model is the process of identifying functional associations between genes through multivariate time series. This problem can be cast as a variable selection problem in Statistics. One of the promising methods for variable selection is the elastic net proposed by Zou and Hastie (2005). However, VAR modeling with the elastic net succeeds in increasing the number of true positives while it also results in increasing the number of false positives. Results By incorporating relative importance of the VAR coefficients into the elastic net, we propose a new class of regularization, called recursive elastic net, to increase the capability of the elastic net and estimate gene networks based on the VAR model. The recursive elastic net can reduce the number of false positives gradually by updating the importance. Numerical simulations and comparisons demonstrate that the proposed method succeeds in reducing the number of false positives drastically while keeping the high number of true positives in the network inference and achieves two or more times higher true discovery rate (the proportion of true positives among the selected edges) than the competing methods even when the number of time points is small. We also compared our method with various reverse-engineering algorithms on experimental data of MCF-7 breast cancer cells stimulated with two ErbB ligands, EGF and HRG. Conclusion The recursive elastic net is a powerful tool for inferring gene networks from time-course gene expression profiles. PMID:19386091
NASA Astrophysics Data System (ADS)
Chen, Lei; Ma, Ning; Park, Yeonju; Jin, Sila; Hwang, Hoon; Jiang, Dayu; Jung, Young Mee
2018-05-01
In this paper, we introduced Raman spectroscopy techniques that were based on the traditional Fe3 + determination method with phenanthroline as a probe. Interestingly, surface-enhanced Raman spectroscopy (SERS)-based approach exhibited excellent sensitivities to phenanthroline. Different detection mechanisms were observed for the RR and SERS techniques, in which the RR intensity increased with increasing Fe3 + concentration due to the observation of the RR effect of the phenanthroline-Fe2 + complex, whereas the SERS intensity increased with decreasing Fe3 + concentration due to the observation of the SERS effect of the uncomplexed phenanthroline. More importantly, the determination sensitivity was substantially improved in the presence of a SERS-active substrate, giving a detection limit as low as 0.001 μg/mL, which is 20 times lower than the limit of the UV-vis and RR methods. Furthermore, the proposed SERS method was free from other ions interference and can be used quality and sensitivity for the determination of the city tap water.
Ghaffar, Abdul; Pongpanich, Sathirakorn; Ghaffar, Najma; Chapman, Robert Sedgwick; Mureed, Sheh
2015-01-01
Objectives: To identify, and compare relative importance of, factors associated with antenatal care (ANC) utilization in rural Balochistan, toward framing a policy to increase such utilization. Methods: This cross sectional study was conducted among 513 pregnant women in Jhal Magsi District, Balochistan, in 2011. A standardized interviewer-administered questionnaire was used. Predisposing, enabling, and reinforcing factors were evaluated with generalized linear models (Poisson distribution and log link). Results: Prevalence of any ANC was only 14.4%. Predisposing, enabling, and reinforcing factors were all important determinants of ANC utilization. Reinforcing factors were clearly most important, husband’s support for ANC was more important than support from other community members. Among predisposing factors, higher income, education, occupation, and better knowledge regarding benefits of ANC were positively and statistically significantly associated with ANC However increased number of children showed negative association. Complications free pregnancy showed positive significant association with ANC at public health facility among enabling factors. Conclusion: It is very important to increase antenatal care utilization in the study area and similar areas. Policy to achieve this should focus on enhancing support from the husband. PMID:26150867
Mitigation of greenhouse gases emissions impact and their influence on terrestrial ecosystem.
NASA Astrophysics Data System (ADS)
Wójcik Oliveira, K.; Niedbała, G.
2018-05-01
Nowadays, one of the most important challenges faced by the humanity in the current century is the increasing temperature on Earth, caused by a growing emission of greenhouse gases into the atmosphere. Terrestrial ecosystems, as an important component of the carbon cycle, play an important role in the sequestration of carbon, which is a chance to improve the balance of greenhouse gases. Increasing CO2 absorption by terrestrial ecosystems is one way to reduce the atmospheric CO2 emissions. Sequestration of CO2 by terrestrial ecosystems is not yet fully utilized method of mitigating CO2 emission to the atmosphere. Terrestrial ecosystems, especially forests, are essential for the regulation of CO2 content in the atmosphere and more attention should be paid to seeking the natural processes of CO2 sequestration.
Convergence and Efficiency of Adaptive Importance Sampling Techniques with Partial Biasing
NASA Astrophysics Data System (ADS)
Fort, G.; Jourdain, B.; Lelièvre, T.; Stoltz, G.
2018-04-01
We propose a new Monte Carlo method to efficiently sample a multimodal distribution (known up to a normalization constant). We consider a generalization of the discrete-time Self Healing Umbrella Sampling method, which can also be seen as a generalization of well-tempered metadynamics. The dynamics is based on an adaptive importance technique. The importance function relies on the weights (namely the relative probabilities) of disjoint sets which form a partition of the space. These weights are unknown but are learnt on the fly yielding an adaptive algorithm. In the context of computational statistical physics, the logarithm of these weights is, up to an additive constant, the free-energy, and the discrete valued function defining the partition is called the collective variable. The algorithm falls into the general class of Wang-Landau type methods, and is a generalization of the original Self Healing Umbrella Sampling method in two ways: (i) the updating strategy leads to a larger penalization strength of already visited sets in order to escape more quickly from metastable states, and (ii) the target distribution is biased using only a fraction of the free-energy, in order to increase the effective sample size and reduce the variance of importance sampling estimators. We prove the convergence of the algorithm and analyze numerically its efficiency on a toy example.
ERIC Educational Resources Information Center
Fiester, Kenneth
1977-01-01
Describes various energy-related projects and legislation, with new job estimates, to improve or design buildings and methods to reduce the annual growth in energy consumption by reducing gasoline consumption, cutting oil imports, increasing coal production, insulating buildings, and installing solar energy devices. (MF)
ERIC Educational Resources Information Center
Stone, David; Buell, James; Naeger, Nicholas
2011-01-01
Recent press coverage of the decrease in worldwide honeybee population (Kaplan 2010) has significantly increased public awareness of its ecological and economic importance. In addition, honeybees' social nature, novel method of gender determination, distinctive caste system, and behaviorally and chemically based language make them immediately…
Measurement of pheromone concentration using a portable electroantennogram
Kevin W. Thorpe; Alexei A. Sharov; Ksenia S. Tcheslavskaia
2003-01-01
Mating disruption is an increasingly important tactic against the gypsy moth in the United States. Since the full implementation of the federal Slow-the-Spread of the Gypsy Moth program in 2000, mating disruption has become the predominant method used.
Gall-ID: Tools for genotyping gall-causing phytopathogenic bacteria
USDA-ARS?s Scientific Manuscript database
Understanding the population structure and genetic diversity of plant pathogens, as well as the effect of agricultural practices on pathogen evolution, are important for disease management. Developments in molecular methods have contributed to increasing the resolution for accurate pathogen identifi...
A Spike Cocktail Approach to Improve Microbial Performance Monitoring for Water Reuse
Water reuse, via either centralized treatment of traditional wastewater or decentralized treatment and on-site reuse, is becoming an increasingly important element of sustainable water management. Despite advances in waterborne pathogen detection methods, low and highly variable ...
Assessment of cardiac fibrosis: a morphometric method comparison for collagen quantification.
Schipke, Julia; Brandenberger, Christina; Rajces, Alexandra; Manninger, Martin; Alogna, Alessio; Post, Heiner; Mühlfeld, Christian
2017-04-01
Fibrotic remodeling of the heart is a frequent condition linked to various diseases and cardiac dysfunction. Collagen quantification is an important objective in cardiac fibrosis research; however, a variety of different histological methods are currently used that may differ in accuracy. Here, frequently applied collagen quantification techniques were compared. A porcine model of early stage heart failure with preserved ejection fraction was used as an example. Semiautomated threshold analyses were imprecise, mainly due to inclusion of noncollagen structures or failure to detect certain collagen deposits. In contrast, collagen assessment by automated image analysis and light microscopy (LM)-stereology was more sensitive. Depending on the quantification method, the amount of estimated collagen varied and influenced intergroup comparisons. PicroSirius Red, Masson's trichrome, and Azan staining protocols yielded similar results, whereas the measured collagen area increased with increasing section thickness. Whereas none of the LM-based methods showed significant differences between the groups, electron microscopy (EM)-stereology revealed a significant collagen increase between cardiomyocytes in the experimental group, but not at other localizations. In conclusion, in contrast to the staining protocol, section thickness and the quantification method being used directly influence the estimated collagen content and thus, possibly, intergroup comparisons. EM in combination with stereology is a precise and sensitive method for collagen quantification if certain prerequisites are considered. For subtle fibrotic alterations, consideration of collagen localization may be necessary. Among LM methods, LM-stereology and automated image analysis are appropriate to quantify fibrotic changes, the latter depending on careful control of algorithm and comparable section staining. NEW & NOTEWORTHY Direct comparison of frequently applied histological fibrosis assessment techniques revealed a distinct relation of measured collagen and utilized quantification method as well as section thickness. Besides electron microscopy-stereology, which was precise and sensitive, light microscopy-stereology and automated image analysis proved to be appropriate for collagen quantification. Moreover, consideration of collagen localization might be important in revealing minor fibrotic changes. Copyright © 2017 the American Physiological Society.
Life cycle management of analytical methods.
Parr, Maria Kristina; Schmidt, Alexander H
2018-01-05
In modern process management, the life cycle concept gains more and more importance. It focusses on the total costs of the process from invest to operation and finally retirement. Also for analytical procedures an increasing interest for this concept exists in the recent years. The life cycle of an analytical method consists of design, development, validation (including instrumental qualification, continuous method performance verification and method transfer) and finally retirement of the method. It appears, that also regulatory bodies have increased their awareness on life cycle management for analytical methods. Thus, the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH), as well as the United States Pharmacopeial Forum discuss the enrollment of new guidelines that include life cycle management of analytical methods. The US Pharmacopeia (USP) Validation and Verification expert panel already proposed a new General Chapter 〈1220〉 "The Analytical Procedure Lifecycle" for integration into USP. Furthermore, also in the non-regulated environment a growing interest on life cycle management is seen. Quality-by-design based method development results in increased method robustness. Thereby a decreased effort is needed for method performance verification, and post-approval changes as well as minimized risk of method related out-of-specification results. This strongly contributes to reduced costs of the method during its life cycle. Copyright © 2017 Elsevier B.V. All rights reserved.
The value of health professions education: the importance of understanding the learner perspective.
Sandars, John; Walsh, Kieran
2016-07-01
The value of health professions education (HPE), with increasing demand for value resultant on financial constraint, has come under increasing scrutiny. An essential aspect for critical consideration is the extent to which the value ascribed by the learner differs from that of the HPE provider, especially in relation to the learning Methods and assessment of the HPE curriculum. The challenge of reconciling the tensions and differing perspectives of the learners and HPE providers can be met through co-production of the curriculum. The focus of the co-production approach is the recognition of the importance of diversity and social justice.
[Mobilization of obese patients : Increasing demands on personnel and equipment].
Klarmann, S; Klocke, J
2017-02-01
The number of overweight people in Germany is constantly increasing, thus, forcing nurses and therapists to adjust to new challenges in patient care. Therefore, it is necessary to redefine the methods and goals in treating obese people. Working in an interprofessional team, using state of the art techniques, seems to be of crucial importance in facing the complex treatment that is associated with these patients. The occupational safety and health of personnel is of utmost importance.In this article, the problems associated with patient care and consequences for medical staff are considered. Finally, possibilities to facilitate work in treating obese patients are discussed.
[Current status of gene test market].
Ohtani, Shinichi
2002-12-01
The technological innovation of the gene analysis makes the adaptation range of the gene test in clinical diagnosis expand. Then, gene test has popularized increasingly around the infection disease for clinical inspection. Also in the field of clinical inspection, the increase of the importance of clinical application and the inspection item new year by year have appeared with the functional analysis of a gene. Moreover, the new test method and automation analysis equipment tend to be developed by progress of gene-analysis technology, and it is going to be introduced. The spread of gene test and development of a gene test market have an important possibility of activating the present clinical inspection field.
Polgár, L; Soós, P; Lajkó, E; Láng, O; Merkely, B; Kőhidai, L
2018-06-01
Thrombogenesis plays an important role in today's morbidity and mortality. Antithrombotics are among the most frequently prescribed drugs. Thorough knowledge of platelet function is needed for optimal clinical care. Platelet adhesion is a separate subprocess of platelet thrombus formation; still, no well-standardized technique for the isolated measurement of platelet adhesion exists. Impedimetry is one of the most reliable, state-of-art techniques to analyze cell adhesion, proliferation, viability, and cytotoxicity. We propose impedimetry as a feasible novel method for the isolated measurement of 2 significant platelet functions: adhesion and spreading. Laboratory reference platelet agonists (epinephrine, ADP, and collagen) were applied to characterize platelet functions by impedimetry using the xCELLigence SP system. Platelet samples were obtained from 20 healthy patients under no drug therapy. Standard laboratory parameters and clinical patient history were also analyzed. Epinephrine and ADP increased platelet adhesion in a concentration-dependent manner, while collagen tended to have a negative effect. Serum sodium and calcium levels and age had a negative correlation with platelet adhesion induced by epinephrine and ADP, while increased immunoreactivity connected with allergic diseases was associated with increased platelet adhesion induced by epinephrine and ADP. ADP increased platelet spreading in a concentration-dependent manner. Impedimetry proved to be a useful and sensitive method for the qualitative and quantitated measurement of platelet adhesion, even differentiating between subgroups of a healthy population. This novel technique is offered as an important method in the further investigation of platelet function. © 2018 John Wiley & Sons Ltd.
ERIC Educational Resources Information Center
Cakir, Nevin Kozcu
2017-01-01
Today, with the development of science and technology and its rapid progress, the importance attached to science education has increased. This increase in interest has led to the development of the methods, techniques, and approaches that enable the students to be active, question and construct knowledge. The 5E learning model is one of them, and…
Some challenges with statistical inference in adaptive designs.
Hung, H M James; Wang, Sue-Jane; Yang, Peiling
2014-01-01
Adaptive designs have generated a great deal of attention to clinical trial communities. The literature contains many statistical methods to deal with added statistical uncertainties concerning the adaptations. Increasingly encountered in regulatory applications are adaptive statistical information designs that allow modification of sample size or related statistical information and adaptive selection designs that allow selection of doses or patient populations during the course of a clinical trial. For adaptive statistical information designs, a few statistical testing methods are mathematically equivalent, as a number of articles have stipulated, but arguably there are large differences in their practical ramifications. We pinpoint some undesirable features of these methods in this work. For adaptive selection designs, the selection based on biomarker data for testing the correlated clinical endpoints may increase statistical uncertainty in terms of type I error probability, and most importantly the increased statistical uncertainty may be impossible to assess.
NASA Astrophysics Data System (ADS)
Habek, Nikola; Kordić, Milan; Jurenec, Franjo; Dugandžić, Aleksandra
2018-03-01
The activation of brown adipose tissue (BAT) after cold exposure leads to heat production. However, the activation of BAT activity after a meal as part of diet induced thermogenesis is still controversial. A possible reason is that measuring BAT activity by positron emission tomography-computed tomography (PET CT) via accumulation of radiotracer fludeoxyglucose (18F-FDG), which competes with an increase in glucose concentration after a meal, fails as the method of choice. In this study, activity of BAT was determined by infrared thermography. Activation of BAT 30 min after a meal increases glucose consumption, decreases plasma glucose concentration, and leads to changes of body temperature (diet-induced thermogenesis). Detecting pathophysiological changes in BAT activity after a meal by infrared thermography, a non-invasive more sensitive method, will be of great importance for people with increased body weight and diabetes mellitus type 2.
Computer-Assisted Learning Applications in Health Educational Informatics: A Review.
Shaikh, Faiq; Inayat, Faisal; Awan, Omer; Santos, Marlise D; Choudhry, Adnan M; Waheed, Abdul; Kajal, Dilkash; Tuli, Sagun
2017-08-10
Computer-assisted learning (CAL) as a health informatics application is a useful tool for medical students in the era of expansive knowledge bases and the increasing need for and the consumption of automated and interactive systems. As the scope and breadth of medical knowledge expand, the need for additional learning outside of lecture hours is becoming increasingly important. CAL can be an impactful adjunct to conventional methods that currently exist in the halls of learning. There is an increasing body of literature that suggests that CAL should be a commonplace and the recommended method of learning for medical students. Factors such as technical issues that hinder the performance of CAL are also evaluated. We conclude by encouraging the use of CAL by medical students as a highly beneficial method of learning that complements and enhances lectures and provides intuitive, interactive modulation of a self-paced curriculum based on the individual's academic abilities.
NASA Astrophysics Data System (ADS)
Koskelo, Antti I.; Fisher, Thomas R.; Utz, Ryan M.; Jordan, Thomas E.
2012-07-01
SummaryBaseflow separation methods are often impractical, require expensive materials and time-consuming methods, and/or are not designed for individual events in small watersheds. To provide a simple baseflow separation method for small watersheds, we describe a new precipitation-based technique known as the Sliding Average with Rain Record (SARR). The SARR uses rainfall data to justify each separation of the hydrograph. SARR has several advantages such as: it shows better consistency with the precipitation and discharge records, it is easier and more practical to implement, and it includes a method of event identification based on precipitation and quickflow response. SARR was derived from the United Kingdom Institute of Hydrology (UKIH) method with several key modifications to adapt it for small watersheds (<50 km2). We tested SARR on watersheds in the Choptank Basin on the Delmarva Peninsula (US Mid-Atlantic region) and compared the results with the UKIH method at the annual scale and the hydrochemical method at the individual event scale. Annually, SARR calculated a baseflow index that was ˜10% higher than the UKIH method due to the finer time step of SARR (1 d) compared to UKIH (5 d). At the watershed scale, hydric soils were an important driver of the annual baseflow index likely due to increased groundwater retention in hydric areas. At the event scale, SARR calculated less baseflow than the hydrochemical method, again because of the differences in time step (hourly for hydrochemical) and different definitions of baseflow. Both SARR and hydrochemical baseflow increased with event size, suggesting that baseflow contributions are more important during larger storms. To make SARR easy to implement, we have written a MatLab program to automate the calculations which requires only daily rainfall and daily flow data as inputs.
Lifshits, A M
1979-01-01
General characteristics of the multivariate statistical analysis (MSA) is given. Methodical premises and criteria for the selection of an adequate MSA method applicable to pathoanatomic investigations of the epidemiology of multicausal diseases are presented. The experience of using MSA with computors and standard computing programs in studies of coronary arteries aterosclerosis on the materials of 2060 autopsies is described. The combined use of 4 MSA methods: sequential, correlational, regressional, and discriminant permitted to quantitate the contribution of each of the 8 examined risk factors in the development of aterosclerosis. The most important factors were found to be the age, arterial hypertension, and heredity. Occupational hypodynamia and increased fatness were more important in men, whereas diabetes melitus--in women. The registration of this combination of risk factors by MSA methods provides for more reliable prognosis of the likelihood of coronary heart disease with a fatal outcome than prognosis of the degree of coronary aterosclerosis.
Tian, Yuting; Zhao, Yingting; Huang, Jijun; Zeng, Hongliang; Zheng, Baodong
2016-04-15
Various drying methods play important roles in the preservation of foods. However, how the different drying methods affect the quality of some foods is not clear. This paper evaluates the effects of hot air, vacuum, microwave, and microwave vacuum drying techniques on important qualities and volatile compounds of whole shiitake (Lentinus edodes) mushrooms. These four drying methods resulted in a significantly (p<0.05) increase in the content of total free amino acids and the relative content of sulfur compounds of dried products. Microwave vacuum drying helped to maintain larger amounts of taste-active amino acids, and improved nutrient retention and color attributes. Furthermore, the uniform honeycomb network created by microwave vacuum drying along with a less collapsed structure of dried samples can be used to explain the observed high rehydration ratio. Therefore, microwave vacuum drying should be a potential method for obtaining high-quality dried mushrooms. Copyright © 2015 Elsevier Ltd. All rights reserved.
Obesity and hormonal contraceptive efficacy.
Robinson, Jennifer A; Burke, Anne E
2013-09-01
Obesity is a major public health concern affecting an increasing proportion of reproductive-aged women. Avoiding unintended pregnancy is of major importance, given the increased risks associated with pregnancy, but obesity may affect the efficacy of hormonal contraceptives by altering how these drugs are absorbed, distributed, metabolized or eliminated. Limited data suggest that long-acting, reversible contraceptives maintain excellent efficacy in obese women. Some studies demonstrating altered pharmacokinetic parameters and increased failure rates with combined oral contraceptives, the contraceptive patch and emergency contraceptive pills suggest decreased efficacy of these methods. It is unclear whether bariatric surgery affects hormonal contraceptive efficacy. Obese women should be offered the full range of contraceptive options, with counseling that balances the risks and benefits of each method, including the risk of unintended pregnancy.
Effects of large-angle Coulomb collisions on inertial confinement fusion plasmas.
Turrell, A E; Sherlock, M; Rose, S J
2014-06-20
Large-angle Coulomb collisions affect the rates of energy and momentum exchange in a plasma, and it is expected that their effects will be important in many plasmas of current research interest, including in inertial confinement fusion. Their inclusion is a long-standing problem, and the first fully self-consistent method for calculating their effects is presented. This method is applied to "burn" in the hot fuel in inertial confinement fusion capsules and finds that the yield increases due to an increase in the rate of temperature equilibration between electrons and ions which is not predicted by small-angle collision theories. The equilibration rate increases are 50%-100% for number densities of 10(30) m(-3) and temperatures around 1 keV.
A Bright Future for Evolutionary Methods in Drug Design.
Le, Tu C; Winkler, David A
2015-08-01
Most medicinal chemists understand that chemical space is extremely large, essentially infinite. Although high-throughput experimental methods allow exploration of drug-like space more rapidly, they are still insufficient to fully exploit the opportunities that such large chemical space offers. Evolutionary methods can synergistically blend automated synthesis and characterization methods with computational design to identify promising regions of chemical space more efficiently. We describe how evolutionary methods are implemented, and provide examples of published drug development research in which these methods have generated molecules with increased efficacy. We anticipate that evolutionary methods will play an important role in future drug discovery. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Couture, Aaron Joseph
This report documents aspects of direct and indirect neutron capture. The importance of neutron capture rates and methods to determine them are presented. The following conclusions are drawn: direct neutron capture measurements remain a backbone of experimental study; work is being done to take increased advantage of indirect methods for neutron capture; both instrumentation and facilities are making new measurements possible; more work is needed on the nuclear theory side to understand what is needed furthest from stability.
ERIC Educational Resources Information Center
Rodgers, Lindsay D.
2011-01-01
The following paper examined the effects of a new method of teaching for remedial mathematics, named the hybrid model of instruction. Due to increasing importance of high stakes testing, the study sought to determine if this method of instruction, that blends traditional teaching and problem-based learning, had different learning effects on…
Price Analysis on Commercial Item Purchases Within the Department of the Navy
2015-04-30
has advised 20 students , seven of whom worked on acquisition and contracting-related projects. Dr. Gera’s research is in networks, publishing 32...commercial item procurements. The importance of market research and price analysis methods has increased because of this change (Gera & Maddox, 2013...require that pricing be discussed in the market research reports (p. 54). The FAR identifies market research as a method for determining price
Fernandes, Richard; Carey, Conn; Hynes, James; Papkovsky, Dmitri
2013-01-01
The importance of food safety has resulted in a demand for a more rapid, high-throughput method for total viable count (TVC). The industry standard for TVC determination (ISO 4833:2003) is widely used but presents users with some drawbacks. The method is materials- and labor-intensive, requiring multiple agar plates per sample. More importantly, the method is slow, with 72 h typically required for a definitive result. Luxcel Biosciences has developed the GreenLight Model 960, a microtiter plate-based assay providing a rapid high-throughput method of aerobic bacterial load assessment through analysis of microbial oxygen consumption. Results are generated in 1-12 h, depending on microbial load. The mix and measure procedure allows rapid detection of microbial oxygen consumption and equates oxygen consumption to microbial load (CFU/g), providing a simple, sensitive means of assessing the microbial contamination levels in foods (1). As bacteria in the test sample grow and respire, they deplete O2, which is detected as an increase in the GreenLight probe signal above the baseline level (2). The time required to reach this increase in signal can be used to calculate the CFU/g of the original sample, based on a predetermined calibration. The higher the initial microbial load, the earlier this threshold is reached (1).
Halley, Meghan C; Rendle, Katharine A S; Gillespie, Katherine A; Stanley, Katherine M; Frosch, Dominick L
2015-12-01
The last 15 years have witnessed considerable progress in the development of decision support interventions (DESIs). However, fundamental questions about design and format of delivery remain. An exploratory, randomized mixed-method crossover study was conducted to compare a DVD- and Web-based DESI. Randomized participants used either the Web or the DVD first, followed by the alternative format. Participants completed a questionnaire to assess decision-specific knowledge at baseline and a questionnaire and structured qualitative interview after viewing each format. Tracking software was used to capture Web utilization. Transcripts were analyzed using integrated inductive and deductive approaches. Quantitative data were analyzed using exploratory bivariate and multivariate analyses. Exploratory knowledge analyses suggest that both formats increased knowledge, with limited evidence that the DVD increased knowledge more than the Web. Format preference varied across participants: 44% preferred the Web, 32% preferred the DVD and 24% preferred 'both'. Patient discussions of preferences for DESI information structure and the importance of a patients' stage of a given decision suggest these characteristics may be important factors underlying variation in utilization, format preferences and knowledge outcomes. Our results suggest that both DESI formats effectively increase knowledge. Patients' perceptions of these two formats further suggest that there may be no single 'best' format for all patients. These results have important implications for understanding why different DESI formats might be preferable to and more effective for different patients. Further research is needed to explore the relationship between these factors and DESI utilization outcomes across diverse patient populations. © 2014 John Wiley & Sons Ltd.
Assessment of the Status of Measles Elimination in the United States, 2001-2014.
Gastañaduy, Paul A; Paul, Prabasaj; Fiebelkorn, Amy Parker; Redd, Susan B; Lopman, Ben A; Gambhir, Manoj; Wallace, Gregory S
2017-04-01
We assessed the status of measles elimination in the United States using outbreak notification data. Measles transmissibility was assessed by estimation of the reproduction number, R, the average number of secondary cases per infection, using 4 methods; elimination requires maintaining R at <1. Method 1 estimates R as 1 minus the proportion of cases that are imported. Methods 2 and 3 estimate R by fitting a model of the spread of infection to data on the sizes and generations of chains of transmission, respectively. Method 4 assesses transmissibility before public health interventions, by estimating R for the case with the earliest symptom onset in each cluster (Rindex). During 2001-2014, R and Rindex estimates obtained using methods 1-4 were 0.72 (95% confidence interval (CI): 0.68, 0.76), 0.66 (95% CI: 0.62, 0.70), 0.45 (95% CI: 0.40, 0.49), and 0.63 (95% CI: 0.57, 0.69), respectively. Year-to-year variability in the values of R and Rindex and an increase in transmissibility in recent years were noted with all methods. Elimination of endemic measles transmission is maintained in the United States. A suggested increase in measles transmissibility since elimination warrants continued monitoring and emphasizes the importance of high measles vaccination coverage throughout the population. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health 2017. This work is written by (a) US Government employee(s) and is in the public domain in the US.
METHODS FOR DEVELOPING THE NEXT GENERATION OF AQUATIC LIFE CRITERIA
New experiments and studies are being conducted on selected criteria uncertainties that cannot be addressed with current knowledge, including the importance of dietary metal exposure to toxic response and the significance of increased toxicity from photo-activation of PAHs in nat...
Screencasts: Formative Assessment for Mathematical Thinking
ERIC Educational Resources Information Center
Soto, Melissa; Ambrose, Rebecca
2016-01-01
Increased attention to reasoning and justification in mathematics classrooms requires the use of more authentic assessment methods. Particularly important are tools that allow teachers and students opportunities to engage in formative assessment practices such as gathering data, interpreting understanding, and revising thinking or instruction.…
Characterizing Navigation in Interactive Learning Environments
ERIC Educational Resources Information Center
Liang, Hai-Ning; Sedig, Kamran
2009-01-01
Interactive learning environments (ILEs) are increasingly used to support and enhance instruction and learning experiences. ILEs maintain and display information, allowing learners to interact with this information. One important method of interacting with information is navigation. Often, learners are required to navigate through the information…
Getting Ready for the Jobs of the Future.
ERIC Educational Resources Information Center
Cetron, Marvin J.
1983-01-01
Workers must be retrained to fill the new jobs created by technology. Twenty-one occupations expected to become increasingly important are described. Competent teachers must be attracted to vocational education, and teaching methods must be updated. Education must equip people to change. (RM)
Self-optimizing Monte Carlo method for nuclear well logging simulation
NASA Astrophysics Data System (ADS)
Liu, Lianyan
1997-09-01
In order to increase the efficiency of Monte Carlo simulation for nuclear well logging problems, a new method has been developed for variance reduction. With this method, an importance map is generated in the regular Monte Carlo calculation as a by-product, and the importance map is later used to conduct the splitting and Russian roulette for particle population control. By adopting a spatial mesh system, which is independent of physical geometrical configuration, the method allows superior user-friendliness. This new method is incorporated into the general purpose Monte Carlo code MCNP4A through a patch file. Two nuclear well logging problems, a neutron porosity tool and a gamma-ray lithology density tool are used to test the performance of this new method. The calculations are sped up over analog simulation by 120 and 2600 times, for the neutron porosity tool and for the gamma-ray lithology density log, respectively. The new method enjoys better performance by a factor of 4~6 times than that of MCNP's cell-based weight window, as per the converged figure-of-merits. An indirect comparison indicates that the new method also outperforms the AVATAR process for gamma-ray density tool problems. Even though it takes quite some time to generate a reasonable importance map from an analog run, a good initial map can create significant CPU time savings. This makes the method especially suitable for nuclear well logging problems, since one or several reference importance maps are usually available for a given tool. Study shows that the spatial mesh sizes should be chosen according to the mean-free-path. The overhead of the importance map generator is 6% and 14% for neutron and gamma-ray cases. The learning ability towards a correct importance map is also demonstrated. Although false-learning may happen, physical judgement can help diagnose with contributon maps. Calibration and analysis are performed for the neutron tool and the gamma-ray tool. Due to the fact that a very good initial importance map is always available after the first point has been calculated, high computing efficiency is maintained. The availability of contributon maps provides an easy way of understanding the logging measurement and analyzing for the depth of investigation.
Campbell, M J
1983-01-01
I describe methods of analysing possible aetiological factors in a follow-up survey, all of which are possible to carry out using the statistical package GENSTAT. A high haemoglobin level carried a significantly increased risk of ischaemic heart disease, and a low one an increased risk of cancer. Smoking was also an important factor. The increased risk was reasonably constant over time. Sugar intake and Quetelet's index did not significantly affect the relative risk.
Perception of mathematics teachers on cooperative learning method in the 21st century
NASA Astrophysics Data System (ADS)
Taufik, Nurshahira Alwani Mohd; Maat, Siti Mistima
2017-05-01
Mathematics education is one of the branches to be mastered by students to help them compete with the upcoming challenges that are very challenging. As such, all parties should work together to help increase student achievement in Mathematics education in line with the Malaysian Education Blueprint (MEB) 2010-2025. Teaching methods play a very important role in attracting and fostering student understanding and interested in learning Mathematics. Therefore, this study was conducted to identify the perceptions of teachers in carrying out cooperative methods in the teaching and learning of mathematics. Participants of this study involving 4 teachers who teach Mathematics in primary schools around the state of Negeri Sembilan. Interviews are used as a method for gathering data. The findings indicate that cooperative methods help increasing interest and understanding in the teaching and learning of mathematics. In conclusion, the teaching methods affect the interest and understanding of students in the learning of Mathematics in the classroom.
Lee, Chang-Ro; Lee, Jung Hun; Park, Kwang Seung; Jeong, Byeong Chul; Lee, Sang Hee
2015-01-01
The increase of methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus (VRE) poses a worldwide and serious health threat. Although new antibiotics, such as daptomycin and linezolid, have been developed for the treatment of infections of Gram-positive pathogens, the emergence of daptomycin-resistant and linezolid-resistant strains during therapy has now increased clinical treatment failures. In the past few years, studies using quantitative proteomic methods have provided a considerable progress in understanding antibiotic resistance mechanisms. In this review, to understand the resistance mechanisms to four clinically important antibiotics (methicillin, vancomycin, linezolid, and daptomycin) used in the treatment of Gram-positive pathogens, we summarize recent advances in studies on resistance mechanisms using quantitative proteomic methods, and also examine proteins playing an important role in the bacterial mechanisms of resistance to the four antibiotics. Proteomic researches can identify proteins whose expression levels are changed in the resistance mechanism to only one antibiotic, such as LiaH in daptomycin resistance and PrsA in vancomycin resistance, and many proteins simultaneously involved in resistance mechanisms to various antibiotics. Most of resistance-related proteins, which are simultaneously associated with resistance mechanisms to several antibiotics, play important roles in regulating bacterial envelope biogenesis, or compensating for the fitness cost of antibiotic resistance. Therefore, proteomic data confirm that antibiotic resistance requires the fitness cost and the bacterial envelope is an important factor in antibiotic resistance. PMID:26322035
NASA Astrophysics Data System (ADS)
Cenglin, Yao
The car sales enterprises could continuously boost sales and expand customer groups, an important method is to enhance the customer satisfaction. The customer satisfaction of car sales enterprises (4S enterprises) depends on many factors. By using the grey relational analysis method, we could perfectly combine various factors in terms of customer satisfaction. And through the vertical contrast, car sales enterprises could find specific factors which will improve customer satisfaction, thereby increase sales volume and benefits. Gray relational analysis method has become a kind of good method and means to analyze and evaluate the enterprises.
Statistical methods for nuclear material management
DOE Office of Scientific and Technical Information (OSTI.GOV)
Bowen W.M.; Bennett, C.A.
1988-12-01
This book is intended as a reference manual of statistical methodology for nuclear material management practitioners. It describes statistical methods currently or potentially important in nuclear material management, explains the choice of methods for specific applications, and provides examples of practical applications to nuclear material management problems. Together with the accompanying training manual, which contains fully worked out problems keyed to each chapter, this book can also be used as a textbook for courses in statistical methods for nuclear material management. It should provide increased understanding and guidance to help improve the application of statistical methods to nuclear material managementmore » problems.« less
Improved method in distance teaching of physics
NASA Astrophysics Data System (ADS)
Gustafsson, Peter
2004-03-01
Results of introducing cooperative working methods on a distance learning course in physics are reported. This has increased the throughput of students in the course as measured in the number of ECTS points generated by the students. There is no significant indication that students more experienced in academic studies manage to complete the course more often than those with less experience. In student groups where the cooperative concept was fully realized a larger gain of knowledge was achieved, as measured by the force concept inventory test. Hence, it is important for the tutor to monitor activities in the groups by follow-up questions during the course and to stress the importance of all students participating actively.
Measuring Patient Preferences: An Overview of Methods with a Focus on Discrete Choice Experiments.
Hazlewood, Glen S
2018-05-01
There is increasing recognition of the importance of patient preferences and methodologies to measure them. In this article, methods to quantify patient preferences are reviewed, with a focus on discrete choice experiments. In a discrete choice experiment, patients are asked to choose between 2 or more treatments. The results can be used to quantify the relative importance of treatment outcomes and/or other considerations relevant to medical decision making. Conducting and interpreting a discrete choice experiment requires multiple steps and an understanding of the potential biases that can arise, which we review in this article with examples in rheumatic diseases. Copyright © 2018 Elsevier Inc. All rights reserved.
Declining incidence of imported malaria in the Netherlands, 2000-2007
2010-01-01
Background To describe the epidemiology and trends of imported malaria in the Netherlands from 2000 through 2007. Methods Based on national surveillance data regarding all reported infections of imported malaria, diagnosed 2000 through 2007, incidence and trends of imported malaria in the Netherlands were estimated. Travellers statistics were used to estimate incidence, and data on malaria chemoprophylaxis prescriptions were used to estimate the number of unprotected travellers. Results Importation of malaria to the Netherlands is declining even as more travellers visit malaria-endemic countries. On average, 82% were acquired in sub-Saharan Africa, and 75% were caused by Plasmodium falciparum. The overall incidence in imported falciparum malaria fell from 21.5 to 6.6/10,000 of unprotected travellers. The percentage of unprotected travellers rose from 47% to 52% of all travellers. The incidence of imported falciparum infections is greatest from Middle and West Africa, and decreased from 121.3 to 36.5/10,000 travellers. The import of malaria from this region by immigrants visiting friends and relatives (VFR) decreased from 138 infections in 2000, to 69 infections in 2007. Conclusion The annual number of imported malaria shows a continuing declining trend, even with an increasing number of travellers visiting malaria endemic countries. VFR import less malaria than previously, and contribute largely to the declining incidence seen. The decline is not readily explained by increased use of chemoprophylaxis and may reflect a reduced risk of infection due to decreasing local malaria transmission as observed in some malaria endemic areas. Nevertheless, the increasing number of unprotected travellers remains worrisome. PMID:21029424
DOE Office of Scientific and Technical Information (OSTI.GOV)
Clarke, Peter; Varghese, Philip; Goldstein, David
We extend a variance reduced discrete velocity method developed at UT Austin [1, 2] to gas mixtures with large mass ratios and flows with trace species. The mixture is stored as a collection of independent velocity distribution functions, each with a unique grid in velocity space. Different collision types (A-A, A-B, B-B, etc.) are treated independently, and the variance reduction scheme is formulated with different equilibrium functions for each separate collision type. The individual treatment of species enables increased focus on species important to the physics of the flow, even if the important species are present in trace amounts. Themore » method is verified through comparisons to Direct Simulation Monte Carlo computations and the computational workload per time step is investigated for the variance reduced method.« less
Measuring use of electronic health record functionality using system audit information.
Bowes, Watson A
2010-01-01
Meaningful and efficient methods for measuring Electronic Health Record (EHR) adoption and functional usage patterns have recently become important for hospitals, clinics, and health care networks in the United State due to recent government initiatives to increase EHR use. To date, surveys have been the method of choice to measure EHR adoption. This paper describes another method for measuring EHR adoption which capitalizes on audit logs, which are often common components of modern EHRs. An Audit Data Mart is described which identified EHR functionality within 836 Departments, within 22 Hospitals and 170 clinics at Intermountain Healthcare, a large integrated delivery system. The Audit Data Mart successfully identified important and differing EHR functional usage patterns. These patterns were useful in strategic planning, tracking EHR implementations, and will likely be utilized to assist in documentation of "Meaningful Use" of EHR functionality.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Anthony Leonard; Phillippe Chatelain; Michael Rebel
Heavy ground vehicles, especially those involved in long-haul freight transportation, consume a significant part of our nation's energy supply. it is therefore of utmost importance to improve their efficiency, both to reduce emissions and to decrease reliance on imported oil. At highway speeds, more than half of the power consumed by a typical semi truck goes into overcoming aerodynamic drag, a fraction which increases with speed and crosswind. Thanks to better tools and increased awareness, recent years have seen substantial aerodynamic improvements by the truck industry, such as tractor/trailer height matching, radiator area reduction, and swept fairings. However, there remainsmore » substantial room for improvement as understanding of turbulent fluid dynamics grows. The group's research effort focused on vortex particle methods, a novel approach for computational fluid dynamics (CFD). Where common CFD methods solve or model the Navier-Stokes equations on a grid which stretches from the truck surface outward, vortex particle methods solve the vorticity equation on a Lagrangian basis of smooth particles and do not require a grid. They worked to advance the state of the art in vortex particle methods, improving their ability to handle the complicated, high Reynolds number flow around heavy vehicles. Specific challenges that they have addressed include finding strategies to accurate capture vorticity generation and resultant forces at the truck wall, handling the aerodynamics of spinning bodies such as tires, application of the method to the GTS model, computation time reduction through improved integration methods, a closest point transform for particle method in complex geometrics, and work on large eddy simulation (LES) turbulence modeling.« less
Hughson, Richard L; Peterson, Sean D; Yee, Nicholas J; Greaves, Danielle K
2017-11-01
Pulse contour analysis of the noninvasive finger arterial pressure waveform provides a convenient means to estimate cardiac output (Q̇). The method has been compared with standard methods under a range of conditions but never before during spaceflight. We compared pulse contour analysis with the Modelflow algorithm to estimates of Q̇ obtained by rebreathing during preflight baseline testing and during the final month of long-duration spaceflight in nine healthy male astronauts. By Modelflow analysis, stroke volume was greater in supine baseline than seated baseline or inflight. Heart rate was reduced in supine baseline so that there were no differences in Q̇ by Modelflow estimate between the supine (7.02 ± 1.31 l/min, means ± SD), seated (6.60 ± 1.95 l/min), or inflight (5.91 ± 1.15 l/min) conditions. In contrast, rebreathing estimates of Q̇ increased from seated baseline (4.76 ± 0.67 l/min) to inflight (7.00 ± 1.39 l/min, significant interaction effect of method and spaceflight, P < 0.001). Pulse contour analysis utilizes a three-element Windkessel model that incorporates parameters dependent on aortic pressure-area relationships that are assumed to represent the entire circulation. We propose that a large increase in vascular compliance in the splanchnic circulation invalidates the model under conditions of spaceflight. Future spaceflight research measuring cardiac function needs to consider this important limitation for assessing absolute values of Q̇ and stroke volume. NEW & NOTEWORTHY Noninvasive assessment of cardiac function during human spaceflight is an important tool to monitor astronaut health. This study demonstrated that pulse contour analysis of finger arterial blood pressure to estimate cardiac output failed to track the 46% increase measured by a rebreathing method. These results strongly suggest that alternative methods not dependent on pulse contour analysis are required to track cardiac function in spaceflight. Copyright © 2017 the American Physiological Society.
Method for Predicting the Energy Characteristics of Li-Ion Cells Designed for High Specific Energy
NASA Technical Reports Server (NTRS)
Bennett, William, R.
2012-01-01
Novel electrode materials with increased specific capacity and voltage performance are critical to the NASA goals for developing Li-ion batteries with increased specific energy and energy density. Although performance metrics of the individual electrodes are critically important, a fundamental understanding of the interactions of electrodes in a full cell is essential to achieving the desired performance, and for establishing meaningful goals for electrode performance in the first place. This paper presents design considerations for matching positive and negative electrodes in a viable design. Methods for predicting cell-level performance, based on laboratory data for individual electrodes, are presented and discussed.
Volume measurement of the leg with the depth camera for quantitative evaluation of edema
NASA Astrophysics Data System (ADS)
Kiyomitsu, Kaoru; Kakinuma, Akihiro; Takahashi, Hiroshi; Kamijo, Naohiro; Ogawa, Keiko; Tsumura, Norimichi
2017-02-01
Volume measurement of the leg is important in the evaluation of leg edema. Recently, method for measurement by using a depth camera is proposed. However, many depth cameras are expensive. Therefore, we propose a method using Microsoft Kinect. We obtain a point cloud of the leg by Kinect Fusion technique and calculate the volume. We measured the volume of leg for three healthy students during three days. In each measurement, the increase of volume was confirmed from morning to evening. It is known that the volume of leg is increased in doing office work. Our experimental results meet this expectation.
Beckman, Robert A.; Chen, Cong
2013-01-01
Predictive biomarkers are important to the future of oncology; they can be used to identify patient populations who will benefit from therapy, increase the value of cancer medicines, and decrease the size and cost of clinical trials while increasing their chance of success. But predictive biomarkers do not always work. When unsuccessful, they add cost, complexity, and time to drug development. This perspective describes phases 2 and 3 development methods that efficiently and adaptively check the ability of a biomarker to predict clinical outcomes. In the end, the biomarker is emphasized to the extent that it can actually predict. PMID:23489587
Piezoelectric PVF2 Polymer Films and Devices.
1981-11-01
techniques and methods have been increasingly applied in the field of nondestructive testing and evaluation ( NDE ) of mate- rials and structures, and...numerous types of acoustic testing devices have been developed. The importance of acoustics in NDE efforts is expected to increase in the future. Thus...already found commercial applications outside the field of ultra- sonic transducers and NDE . Among the strong piezoelectrics, it has a unique set of
Determination of Carbonyl Functional Groups in Bio-oils by Potentiometric Titration: The Faix Method
DOE Office of Scientific and Technical Information (OSTI.GOV)
Black, Stuart; Ferrell, Jack R.
We know that carbonyl compounds, present in bio-oils, are responsible for bio-oil property changes upon storage and during upgrading. Specifically, carbonyls cause an increase in viscosity (often referred to as 'aging') during storage of bio-oils. As such, carbonyl content has previously been used as a method of tracking bio-oil aging and condensation reactions with less variability than viscosity measurements. In addition, carbonyls are also responsible for coke formation in bio-oil upgrading processes. Given the importance of carbonyls in bio-oils, accurate analytical methods for their quantification are very important for the bio-oil community. Potentiometric titration methods based on carbonyl oximation havemore » long been used for the determination of carbonyl content in pyrolysis bio-oils. Here, we present a modification of the traditional carbonyl oximation procedures that results in less reaction time, smaller sample size, higher precision, and more accurate carbonyl determinations. And while traditional carbonyl oximation methods occur at room temperature, the Faix method presented here occurs at an elevated temperature of 80 degrees C.« less
Determination of Carbonyl Functional Groups in Bio-oils by Potentiometric Titration: The Faix Method
Black, Stuart; Ferrell, Jack R.
2017-02-07
We know that carbonyl compounds, present in bio-oils, are responsible for bio-oil property changes upon storage and during upgrading. Specifically, carbonyls cause an increase in viscosity (often referred to as 'aging') during storage of bio-oils. As such, carbonyl content has previously been used as a method of tracking bio-oil aging and condensation reactions with less variability than viscosity measurements. In addition, carbonyls are also responsible for coke formation in bio-oil upgrading processes. Given the importance of carbonyls in bio-oils, accurate analytical methods for their quantification are very important for the bio-oil community. Potentiometric titration methods based on carbonyl oximation havemore » long been used for the determination of carbonyl content in pyrolysis bio-oils. Here, we present a modification of the traditional carbonyl oximation procedures that results in less reaction time, smaller sample size, higher precision, and more accurate carbonyl determinations. And while traditional carbonyl oximation methods occur at room temperature, the Faix method presented here occurs at an elevated temperature of 80 degrees C.« less
The structure of MgO-SiO2 glasses at elevated pressure.
Wilding, Martin; Guthrie, Malcolm; Kohara, Shinji; Bull, Craig L; Akola, Jaakko; Tucker, Matt G
2012-06-06
The magnesium silicate system is an important geophysical analogue and neutron diffraction data from glasses formed in this system may also provide an initial framework for understanding the structure-dependent properties of related liquids that are important during planetary formation. Neutron diffraction data collected in situ for a single composition (38 mol% SiO(2)) magnesium silicate glass sample shows local changes in structure as pressure is increased from ambient conditions to 8.6 GPa at ambient temperature. A method for obtaining the fully corrected, total structure factor, S(Q), has been developed that allows accurate structural characterization as this weakly scattering glass sample is compressed. The measured S(Q) data indicate changes in chemical ordering with pressure and the real-space transforms show an increase in Mg-O coordination number and a distortion of the local environment around magnesium ions. We have used reverse Monte Carlo methods to compare the high pressure and ambient pressure structures and also compare the high pressure form with a more silica-poor glass (Mg(2)SiO(4)) that represents the approach to a more dense, void-free and topologically ordered structure. The Mg-O coordination number increases with pressure and we also find that the degree of continuous connectivity of Si-O bonds increases via a collapse of interstices.
NASA Astrophysics Data System (ADS)
Rath-Nagel, S.
1981-03-01
Systems analyses were carried out by the International Energy Agency for the participating 15 countries in order to work out strategies and scenarios for lessening the dependence on imported oil and for developing new energy technologies. MARKAL model computations show the technology and energy mixes necessary for achieving a reduction of oil imports by two thirds over the next 40 years. The scenario 'high social security' examines the projected rise in energy consumption, the development of oil substitutes, the increase in alternative heating sources, the development of markets for liquid energy products, the demand for gas, and the relative usage of various energy generation methods. The recommended strategy involves as the most important points an increase in coal consumption, greater nuclear energy reliance and development of alternative technologies.
Determination of excipient based solubility increases using the CheqSol method.
Etherson, Kelly; Halbert, Gavin; Elliott, Moira
2014-04-25
Aqueous solubility is an essential characteristic assessed during drug development to determine a compound's drug-likeness since solubility plays an important pharmaceutical role. However, nearly half of the drug candidates discovered today display poor water solubility; therefore methods have to be applied to increase solubility. Solubility determination using the CheqSol method is a novel rapid solubility screening technique for ionisable compounds. The aim of this study is to determine if the CheqSol method can be employed to determine solubility increases of four test drugs (ibuprofen, gliclazide, atenolol and propranolol) induced by non-ionising excipients such as hydroxypropyl-β-cyclodextrin and poloxamers 407 and 188. CheqSol assays were performed for the drugs alone or in combination with varying solubiliser concentrations. The measured intrinsic solubility of all four drugs increased with all the excipients tested in an excipient concentration dependent manner providing results consistent with previous literature. The results demonstrate that it may be possible to use this method to determine the solubility increases induced by non-ionic solubilising excipients with results that are comparable to standard equilibrium based solubility techniques. Since the technique is automated and requires only small drug quantities it may serve as a useful solubility or formulation screening tool providing more detailed physicochemical information than multiwell plate or similar visual systems. Copyright © 2014. Published by Elsevier B.V.
10 best resources on ... mixed methods research in health systems.
Ozawa, Sachiko; Pongpirul, Krit
2014-05-01
Mixed methods research has become increasingly popular in health systems. Qualitative approaches are often used to explain quantitative results and help to develop interventions or survey instruments. Mixed methods research is especially important in low- and middle-income country (LMIC) settings, where understanding social, economic and cultural contexts are essential to assess health systems performance. To provide researchers and programme managers with a guide to mixed methods research in health systems, we review the best resources with a focus on LMICs. We selected 10 best resources (eight peer-reviewed articles and two textbooks) based on their importance and frequency of use (number of citations), comprehensiveness of content, usefulness to readers and relevance to health systems research in resource-limited contexts. We start with an overview on mixed methods research and discuss resources that are useful for a better understanding of the design and conduct of mixed methods research. To illustrate its practical applications, we provide examples from various countries (China, Vietnam, Kenya, Tanzania, Zambia and India) across different health topics (tuberculosis, malaria, HIV testing and healthcare costs). We conclude with some toolkits which suggest what to do when mixed methods findings conflict and provide guidelines for evaluating the quality of mixed methods research.
Jonathan W. Long; Alvin L. Medina; Daniel G. Neary
2012-01-01
Channel morphology has become an increasingly important subject for analyzing the health of rivers and associated fish populations, particularly since the popularization of channel classification and assessment methods. Morphological data can help to evaluate the flows of sediment and water that influence aquatic and riparian habitat. Channel classification systems,...
Background/Question/Methods Due to the interactive effects of urbanization and climate variability, managing impacts on watershed hydrology and biogeochemical processing has become increasingly important, particularly due to the enhanced potential for eutrophication and hypoxia i...
Microbial Diversity and Host-specific Sequences of Canadian Goose Feces
Methods to assess the impact of goose fecal contamination are needed as the result of the increasing number of Canada goose (Branta canadensis) nearby North American inland waters. However, there is little information on goose fecal microbial communities, which is important for t...
Localization of diffusion sources in complex networks with sparse observations
NASA Astrophysics Data System (ADS)
Hu, Zhao-Long; Shen, Zhesi; Tang, Chang-Bing; Xie, Bin-Bin; Lu, Jian-Feng
2018-04-01
Locating sources in a large network is of paramount importance to reduce the spreading of disruptive behavior. Based on the backward diffusion-based method and integer programming, we propose an efficient approach to locate sources in complex networks with limited observers. The results on model networks and empirical networks demonstrate that, for a certain fraction of observers, the accuracy of our method for source localization will improve as the increase of network size. Besides, compared with the previous method (the maximum-minimum method), the performance of our method is much better with a small fraction of observers, especially in heterogeneous networks. Furthermore, our method is more robust against noise environments and strategies of choosing observers.
Computerized system for recognition of autism on the basis of gene expression microarray data.
Latkowski, Tomasz; Osowski, Stanislaw
2015-01-01
The aim of this paper is to provide a means to recognize a case of autism using gene expression microarrays. The crucial task is to discover the most important genes which are strictly associated with autism. The paper presents an application of different methods of gene selection, to select the most representative input attributes for an ensemble of classifiers. The set of classifiers is responsible for distinguishing autism data from the reference class. Simultaneous application of a few gene selection methods enables analysis of the ill-conditioned gene expression matrix from different points of view. The results of selection combined with a genetic algorithm and SVM classifier have shown increased accuracy of autism recognition. Early recognition of autism is extremely important for treatment of children and increases the probability of their recovery and return to normal social communication. The results of this research can find practical application in early recognition of autism on the basis of gene expression microarray analysis. Copyright © 2014 Elsevier Ltd. All rights reserved.
Mosley, Garrett L; Nguyen, Phuong; Wu, Benjamin M; Kamei, Daniel T
2016-08-07
The lateral-flow immunoassay (LFA) is a well-established diagnostic technology that has recently seen significant advancements due in part to the rapidly expanding fields of paper diagnostics and paper-fluidics. As LFA-based diagnostics become more complex, it becomes increasingly important to quantitatively determine important parameters during the design and evaluation process. However, current experimental methods for determining these parameters have certain limitations when applied to LFA systems. In this work, we describe our novel methods of combining paper and radioactive measurements to determine nanoprobe molarity, the number of antibodies per nanoprobe, and the forward and reverse rate constants for nanoprobe binding to immobilized target on the LFA test line. Using a model LFA system that detects for the presence of the protein transferrin (Tf), we demonstrate the application of our methods, which involve quantitative experimentation and mathematical modeling. We also compare the results of our rate constant experiments with traditional experiments to demonstrate how our methods more appropriately capture the influence of the LFA environment on the binding interaction. Our novel experimental approaches can therefore more efficiently guide the research process for LFA design, leading to more rapid advancement of the field of paper-based diagnostics.
A laboratory study of nonlinear changes in the directionality of extreme seas
NASA Astrophysics Data System (ADS)
Latheef, M.; Swan, C.; Spinneken, J.
2017-03-01
This paper concerns the description of surface water waves, specifically nonlinear changes in the directionality. Supporting calculations are provided to establish the best method of directional wave generation, the preferred method of directional analysis and the inputs on which such a method should be based. These calculations show that a random directional method, in which the phasing, amplitude and direction of propagation of individual wave components are chosen randomly, has benefits in achieving the required ergodicity. In terms of analysis procedures, the extended maximum entropy principle, with inputs based upon vector quantities, produces the best description of directionality. With laboratory data describing the water surface elevation and the two horizontal velocity components at a single point, several steep sea states are considered. The results confirm that, as the steepness of a sea state increases, the overall directionality of the sea state reduces. More importantly, it is also shown that the largest waves become less spread or more unidirectional than the sea state as a whole. This provides an important link to earlier descriptions of deterministic wave groups produced by frequency focusing, helps to explain recent field observations and has important practical implications for the design of marine structures and vessels.
Groundwater Nitrate Contamination Risk Assessment in Canicattì area (Sicily)
NASA Astrophysics Data System (ADS)
Pisciotta, Antonino; Cusimano, Gioacchino; Favara, Rocco
2010-05-01
Groundwaters play a dominant role in the Sicily, because as most part of Mediterranean countries this island is interested by the phenomenon of desertification and the quality of the groundwater reservoir is one of the most important aim for the management policy strategies. During last decade most of the Italian regions the nitrate levels in river and groundwaters have increased gradually over mainly as a consequence of large-scale agricultural application of manure and fertilizers, thereby threatening drinking water quality. The excessive use of chemicals and fertilizers increases the risk to pollution of surface and groundwater from diffuse source, an important reflex to human health and the environment. The studied area is located in Canicattì (central Sicily, Italy), the current land use (grape, olive grove and almond) is the main source of groundwater pollution. In order to investigate the effect of the over farming on the groundwater quality we report the study on the potential risk of contamination from nitrate of agricultural origin through the join of the application of two parametric methods: the IPNOA method (the intrinsic nitrate contamination risk from Agricultural sources) applied to define the Nitrate Vulnerable Zones and the SINTACS method applied to determine the aquifer vulnerability to contamination.
Simulating trait evolution for cross-cultural comparison.
Nunn, Charles L; Arnold, Christian; Matthews, Luke; Borgerhoff Mulder, Monique
2010-12-12
Cross-cultural anthropologists have increasingly used phylogenetic methods to study cultural variation. Because cultural behaviours can be transmitted horizontally among socially defined groups, however, it is important to assess whether phylogeny-based methods--which were developed to study vertically transmitted traits among biological taxa--are appropriate for studying group-level cultural variation. Here, we describe a spatially explicit simulation model that can be used to generate data with known degrees of horizontal donation. We review previous results from this model showing that horizontal transmission increases the type I error rate of phylogenetically independent contrasts in studies of correlated evolution. These conclusions apply to cases in which two traits are transmitted as a pair, but horizontal transmission may be less problematic when traits are unlinked. We also use the simulation model to investigate whether measures of homology (the consistency index and the retention index) can detect horizontal transmission of cultural traits. Higher rates of evolutionary change have a stronger depressive impact on measures of homology than higher rates of horizontal transmission; thus, low consistency or retention indices are not necessarily indicative of 'ethnogenesis'. Collectively, these studies demonstrate the importance of using simulations to assess the validity of methods in cross-cultural research.
Ciobanu, Marcel; Popovici, Iuliana; Zhao, Jie; Stoica, Ilie-Adrian
2015-12-01
The percentage compositions of soil herbivorous, bacterivorous and fungivorous nematodes in forests, grasslands and scrubs in Romania was analysed. Percentages of nematode abundance, biomass and metabolic footprint methods were used to evaluate the patterns and relative size of herbivory, bacterial- and fungal-mediated channels in organic and mineral soil horizons. Patterns and magnitudes of herbivore, bacterivore and fungivore energy pathways differed for a given ecosystem type and soil depth according to the method used. The relevance of herbivore energy channel increased with soil depth due to higher contribution of root-feeders. Ectoparasites, sedentary parasites and epidermal cell and root hair feeders were the most important contributors to the total biomass and metabolic footprints of herbivores. Metabolic footprint method revealed the general dominance of bacterial-based energy channel in all five types of ecosystems. The influence of altitude and climatic factors on percentages of abundance, biomass and metabolic footprints of herbivores, bacterivores and fungivores decreased with soil depth, whereas the influence of humus content, cation-exchange capacity and base saturation increased. Vegetation, altitude, climate and soil physico-chemical characteristics are important factors that influenced the abundance, biomass and metabolic footprints of herbivores, bacterivores and fungivores.
Ciobanu, Marcel; Popovici, Iuliana; Zhao, Jie; Stoica, Ilie-Adrian
2015-01-01
The percentage compositions of soil herbivorous, bacterivorous and fungivorous nematodes in forests, grasslands and scrubs in Romania was analysed. Percentages of nematode abundance, biomass and metabolic footprint methods were used to evaluate the patterns and relative size of herbivory, bacterial- and fungal-mediated channels in organic and mineral soil horizons. Patterns and magnitudes of herbivore, bacterivore and fungivore energy pathways differed for a given ecosystem type and soil depth according to the method used. The relevance of herbivore energy channel increased with soil depth due to higher contribution of root-feeders. Ectoparasites, sedentary parasites and epidermal cell and root hair feeders were the most important contributors to the total biomass and metabolic footprints of herbivores. Metabolic footprint method revealed the general dominance of bacterial-based energy channel in all five types of ecosystems. The influence of altitude and climatic factors on percentages of abundance, biomass and metabolic footprints of herbivores, bacterivores and fungivores decreased with soil depth, whereas the influence of humus content, cation-exchange capacity and base saturation increased. Vegetation, altitude, climate and soil physico-chemical characteristics are important factors that influenced the abundance, biomass and metabolic footprints of herbivores, bacterivores and fungivores. PMID:26620189
NASA Astrophysics Data System (ADS)
Ciobanu, Marcel; Popovici, Iuliana; Zhao, Jie; Stoica, Ilie-Adrian
2015-12-01
The percentage compositions of soil herbivorous, bacterivorous and fungivorous nematodes in forests, grasslands and scrubs in Romania was analysed. Percentages of nematode abundance, biomass and metabolic footprint methods were used to evaluate the patterns and relative size of herbivory, bacterial- and fungal-mediated channels in organic and mineral soil horizons. Patterns and magnitudes of herbivore, bacterivore and fungivore energy pathways differed for a given ecosystem type and soil depth according to the method used. The relevance of herbivore energy channel increased with soil depth due to higher contribution of root-feeders. Ectoparasites, sedentary parasites and epidermal cell and root hair feeders were the most important contributors to the total biomass and metabolic footprints of herbivores. Metabolic footprint method revealed the general dominance of bacterial-based energy channel in all five types of ecosystems. The influence of altitude and climatic factors on percentages of abundance, biomass and metabolic footprints of herbivores, bacterivores and fungivores decreased with soil depth, whereas the influence of humus content, cation-exchange capacity and base saturation increased. Vegetation, altitude, climate and soil physico-chemical characteristics are important factors that influenced the abundance, biomass and metabolic footprints of herbivores, bacterivores and fungivores.
NASA Astrophysics Data System (ADS)
Bluszcz, Anna
2017-03-01
The trends of the society for the continuous growth, combined with the demographic changes, today have led to the important ecological problems on a global scale, which include, among others: the increased use of non-renewable natural resources, an increase of the greenhouse gas emissions, contamination of soil, water, air and the progressive degradation of ecosystems. In the face of such serious threats the global initiatives of all countries are important to limit the results of the excessive consumption. The aim of the article is to present the methods of measurement of the consumption level of natural resources by the societies and the examination of relationships between the level of development of the societies and the use of resources. The popular measure - the ecological footprint - was used as a measurement method for the consumption of the today's generations in relation to the regenerative possibilities of the natural environment. On the other hand, as the assessment method for the level of development of societies - the Human Development Index (HDI), including three basic areas: the life expectancy, GDP level per capita and education was used. The results of the research indicate that the current trend of the unlimited consumption of the highly developed countries takes place at the expense of the future generations.
[Diagnosis of tropical malaria by express-methods].
Popov, A F; Nikiforov, N D; Ivanis, V A; Barkun, S P; Sanin, B I; Fed'kina, L I
2004-01-01
An examination of a thick blood drop and of blood smear for the presence of plasmodia is a classic and indisputable diagnostic test for tropic malaria. However, express-methods, based on the immune-enzyme analysis, have been introduced into the health-care practice primarily in developing and underdeveloped countries. The diagnosis of tropic malaria by using the discussed methods enables, in the non-laboratory settings, a rapid and reliable detection of PI. falciparum in blood. This is important because an untimely diagnosis of tropic malaria increases the risk of the lethal outcome.
Empirical study on impact of demographic and economic changes on pension cost
NASA Astrophysics Data System (ADS)
Yusof, Shaira; Ibrahim, Rose Irnawaty
2014-06-01
A continuation of the same financial standard of living after retirement as before is very importance to retired person. The pension provider has a responsibility to ensure their employees receive the sufficient benefit after retirement and regularly monitor the factors that cause insufficient funds to pay benefit to retirees. Insufficient funds may be due to increased in pension cost. Some of the factors that increase the cost of pensions are changes in mortality rates and interest rates. This study will used these two factors to determine their sensitivity to pension cost. Two methods which are Accrued Benefit Cost Method and Projected Benefit Cost Method will be used to estimate pension cost. Interest rates has a inversely related to pension cost while mortality rates has a directly related to pension cost.
Analyzing silver concentration in soil using laser-induced breakdown spectroscopy
NASA Astrophysics Data System (ADS)
Prasetyo, S.; Isnaeni; Zaitun; Mitchell, K.; Suliyanti, M. M.; Herbani, Y.
2018-03-01
Determination of concentration of heavy metal ions in soil, such as silver, is very important to study soil pollution levels. Several techniques have been developed to determine silver ion concentration in soil. In this paper, we utilized laser-induced breakdown spectroscopy (LIBS) to study silver concentration in soil. We used four different data analysis methods to calculate silver concentration. In this case, we prepared soil samples with different silver ion concentrations from 400 ppm to 1000 ppm. Our analysis was focused on the 843.15 nm silver atomic absorption line. We found that plasma intensity increased as silver concentration increased. Our findings were based on our analysis using four different analysis methods. We believe that these analysis methods are able to calculate silver concentration in soil using LIBS.
Development OF A Multi-Scale Framework for Mapping Global Evapotranspiration
NASA Technical Reports Server (NTRS)
Hain, Christopher R.; Anderson, Martha C.; Schull, Mitchell; Neale, Christopher; Zhan, Xiwu
2017-01-01
As the worlds water resources come under increasing tension due to dual stressors of climate change and population growth, accurate knowledge of water consumption through evapotranspiration (ET) over a range in spatial scales will be critical in developing adaptation strategies. Remote sensing methods for monitoring consumptive water use (e.g, ET) are becoming increasingly important, especially in areas of significant water and food insecurity. One method to estimate ET from satellite-based methods, the Atmosphere Land Exchange Inverse (ALEXI) model uses the change in mid-morning land surface temperature to estimate the partitioning of sensible and latent heat fluxes which are then used to estimate daily ET. This presentation will outline several recent enhancements to the ALEXI modeling system, with a focus on global ET and drought monitoring.
Modification of the Genome of Domestic Animals.
Lotti, Samantha N; Polkoff, Kathryn M; Rubessa, Marcello; Wheeler, Matthew B
2017-07-03
In the past few years, new technologies have arisen that enable higher efficiency of gene editing. With the increase ease of using gene editing technologies, it is important to consider the best method for transferring new genetic material to livestock animals. Microinjection is a technique that has proven to be effective in mice but is less efficient in large livestock animals. Over the years, a variety of methods have been used for cloning as well as gene transfer including; nuclear transfer, sperm mediated gene transfer (SMGT), and liposome-mediated DNA transfer. This review looks at the different success rate of these methods and how they have evolved to become more efficient. As well as gene editing technologies, including Zinc-finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs), and the most recent clustered regulatory interspaced short palindromic repeats (CRISPRs). Through the advancements in gene-editing technologies, generating transgenic animals is now more accessible and affordable. The goals of producing transgenic animals are to 1) increase our understanding of biology and biomedical science; 2) increase our ability to produce more efficient animals; and 3) produce disease resistant animals. ZFNs, TALENs, and CRISPRs combined with gene transfer methods increase the possibility of achieving these goals.
Novel method of measuring the mental workload of anaesthetists during clinical practice.
Byrne, A J; Oliver, M; Bodger, O; Barnett, W A; Williams, D; Jones, H; Murphy, A
2010-12-01
Cognitive overload has been recognized as a significant cause of error in industries such as aviation and measuring mental workload has become a key method of improving safety. The aim of this study was to pilot the use of a new method of measuring mental workload in the operating theatre using a previously published methodology. The mental workload of the anaesthetists was assessed by measuring their response times to a wireless vibrotactile device and the NASA TLX subjective workload score during routine surgical procedures. Primary task workload was inferred from the phase of anaesthesia. Significantly increased response time was associated with the induction phase of anaesthesia compared with maintenance/emergence, non-consultant grade, and during more complex cases. Increased response was also associated with self-reported mental load, physical load, and frustration. These findings are consistent with periods of increased mental workload and with the findings of other studies using similar techniques. These findings confirm the importance of mental workload to the performance of anaesthetists and suggest that increased mental workload is likely to be a common problem in clinical practice. Although further studies are required, the method described may be useful for the measurement of the mental workload of anaesthetists.
Palamara, Gian Marco; Childs, Dylan Z; Clements, Christopher F; Petchey, Owen L; Plebani, Marco; Smith, Matthew J
2014-01-01
Understanding and quantifying the temperature dependence of population parameters, such as intrinsic growth rate and carrying capacity, is critical for predicting the ecological responses to environmental change. Many studies provide empirical estimates of such temperature dependencies, but a thorough investigation of the methods used to infer them has not been performed yet. We created artificial population time series using a stochastic logistic model parameterized with the Arrhenius equation, so that activation energy drives the temperature dependence of population parameters. We simulated different experimental designs and used different inference methods, varying the likelihood functions and other aspects of the parameter estimation methods. Finally, we applied the best performing inference methods to real data for the species Paramecium caudatum. The relative error of the estimates of activation energy varied between 5% and 30%. The fraction of habitat sampled played the most important role in determining the relative error; sampling at least 1% of the habitat kept it below 50%. We found that methods that simultaneously use all time series data (direct methods) and methods that estimate population parameters separately for each temperature (indirect methods) are complementary. Indirect methods provide a clearer insight into the shape of the functional form describing the temperature dependence of population parameters; direct methods enable a more accurate estimation of the parameters of such functional forms. Using both methods, we found that growth rate and carrying capacity of Paramecium caudatum scale with temperature according to different activation energies. Our study shows how careful choice of experimental design and inference methods can increase the accuracy of the inferred relationships between temperature and population parameters. The comparison of estimation methods provided here can increase the accuracy of model predictions, with important implications in understanding and predicting the effects of temperature on the dynamics of populations. PMID:25558365
Novel method of measurement of radon exhalation from building materials.
Awhida, A; Ujić, P; Vukanac, I; Đurašević, M; Kandić, A; Čeliković, I; Lončar, B; Kolarž, P
2016-11-01
In the era of the energy saving policy (i.e. more air tight doors and windows), the radon exhaled from building materials tends to increase its concentration in indoor air, which increases the importance of the measurement of radon exhalation from building materials. This manuscript presents a novel method of the radon exhalation measurement using only a HPGe detector or any other gamma spectrometer. Comparing it with the already used methods of radon exhalation measurements, this method provides the measurement of the emanation coefficient, the radon diffusion length and the radon exhalation rate, all within the same measurement, which additionally defines material's radon protective properties. Furthermore it does not necessitate additional equipment for radon or radon exhalation measurement, which simplifies measurement technique, and thus potentially facilitates introduction of legal obligation for radon exhalation determination in building materials. Copyright © 2016 Elsevier Ltd. All rights reserved.
Baker, Duncan G L; Eddy, Tyler D; McIver, Reba; Schmidt, Allison L; Thériault, Marie-Hélène; Boudreau, Monica; Courtenay, Simon C; Lotze, Heike K
2016-01-01
Coastal ecosystems are among the most productive yet increasingly threatened marine ecosystems worldwide. Particularly vegetated habitats, such as eelgrass (Zostera marina) beds, play important roles in providing key spawning, nursery and foraging habitats for a wide range of fauna. To properly assess changes in coastal ecosystems and manage these critical habitats, it is essential to develop sound monitoring programs for foundation species and associated assemblages. Several survey methods exist, thus understanding how different methods perform is important for survey selection. We compared two common methods for surveying macrofaunal assemblages: beach seine netting and underwater visual census (UVC). We also tested whether assemblages in shallow nearshore habitats commonly sampled by beach seines are similar to those of nearby eelgrass beds often sampled by UVC. Among five estuaries along the Southern Gulf of St. Lawrence, Canada, our results suggest that the two survey methods yield comparable results for species richness, diversity and evenness, yet beach seines yield significantly higher abundance and different species composition. However, sampling nearshore assemblages does not represent those in eelgrass beds despite considerable overlap and close proximity. These results have important implications for how and where macrofaunal assemblages are monitored in coastal ecosystems. Ideally, multiple survey methods and locations should be combined to complement each other in assessing the entire assemblage and full range of changes in coastal ecosystems, thereby better informing coastal zone management.
NASA Astrophysics Data System (ADS)
Sordillo, Laura A.; Sordillo, Peter P.; Budansky, Yury; Pu, Yang; Alfano, R. R.
2015-03-01
Histologic grade is a very important, but underappreciated, parameter of breast cancer aggressiveness. Despite its importance, it has historically not been included as one of the criteria for staging of this cancer. In this study, spectral fluorescence profiles from patients with breast carcinoma were acquired. Ratios of emission peaks at 340 over 440,460 nm from biomolecules in malignant and normal samples were calculated. Cancerous over normal ratios (double ratio (DR) method) were evaluated with respect to tumor characteristics. Increased tryptophan content in breast cancer tissues correlates strongly with high grade, but not with lymph node metastases, estrogen receptor, progesterone receptor or Her-2-Neu receptor status.
Ultrasonic Phased Array Simulations of Welded Components at NASA
NASA Technical Reports Server (NTRS)
Roth, D. J.; Tokars, R. P.; Martin, R. E.; Rauser, R. W.; Aldrin, J. C.
2009-01-01
Comprehensive and accurate inspections of welded components have become of increasing importance as NASA develops new hardware such as Ares rocket segments for future exploration missions. Simulation and modeling will play an increasing role in the future for nondestructive evaluation in order to better understand the physics of the inspection process, to prove or disprove the feasibility for an inspection method or inspection scenario, for inspection optimization, for better understanding of experimental results, and for assessment of probability of detection. This study presents simulation and experimental results for an ultrasonic phased array inspection of a critical welded structure important for NASA future exploration vehicles. Keywords: nondestructive evaluation, computational simulation, ultrasonics, weld, modeling, phased array
Ultrasonic Phased Array Inspection Simulations of Welded Components at NASA
NASA Technical Reports Server (NTRS)
Roth, D. J.; Tokars, R. P.; Martin, R. E.; Rauser, R. W.; Aldrin, J. C.; Schumacher, E. J.
2009-01-01
Comprehensive and accurate inspections of welded components have become of increasing importance as NASA develops new hardware such as Ares rocket segments for future exploration missions. Simulation and modeling will play an increased role in the future for nondestructive evaluation in order to better understand the physics of the inspection process and help explain the experimental results. It will also help to prove or disprove the feasibility for an inspection method or inspection scenario, help optimize inspections, and allow to a first approximation limits of detectability. This study presents simulation and experimental results for an ultrasonic phased array inspection of a critical welded structure important for NASA future exploration vehicles.
Kekeunou, Sévilor; Weise, Stephan; Messi, Jean; Tamò, Manuel
2006-01-01
Background Zonocerus variegatus (Linnaeus, 1758) (Orthoptera: Pyrgomorphidae) is known as an agricultural pest in West and Central Africa. However, its importance in the agricultural production system in Cameroon has not been investigated. The study assesses farmers' perception on the importance of Z. variegatus in the agricultural production systems of the humid forest zone of Southern Cameroon. Methods Research was carried out in 5 villages of each of three Agro-Ecological, Cultural and Demographic Blocks (AECD-Blocks) of the Forest Margin Benchmark Area (FMBA). In each village, a semi-structured survey was used; male and female groups of farmers were interviewed separately. Results Z. variegatus is present throughout the humid forest zone of Southern Cameroon, where it is ranked as the third most economically important insect pest of agriculture. In the farmers' opinion, Z. variegatus is a polyphagous insect with little impact on young perennial crops. The length of the pre-farming fallow does not affect Z. variegatus pest pressure in the following crops. The increased impact of the grasshopper observed today in the fields, compared to what existed 10 years ago is as a result of deforestation and increase in surface of herbaceous fallow. The damage caused by Z. variegatus is higher in fields adjacent to C. odorata and herbaceous fallows than in those adjacent to forests and shrubby fallows. The fight against this grasshopper is often done through physical methods carried out by hand, for human consumption. The farmers highlight low usage of the chemical methods and a total absence of biological and ecological methods. Conclusion Farmers' perception have contributed to understanding the status of Z. variegatus in the humid forest zone of Southern Cameroon. The results are in general similar to those obtained in other countries. PMID:16573815
Gene expression complex networks: synthesis, identification, and analysis.
Lopes, Fabrício M; Cesar, Roberto M; Costa, Luciano Da F
2011-10-01
Thanks to recent advances in molecular biology, allied to an ever increasing amount of experimental data, the functional state of thousands of genes can now be extracted simultaneously by using methods such as cDNA microarrays and RNA-Seq. Particularly important related investigations are the modeling and identification of gene regulatory networks from expression data sets. Such a knowledge is fundamental for many applications, such as disease treatment, therapeutic intervention strategies and drugs design, as well as for planning high-throughput new experiments. Methods have been developed for gene networks modeling and identification from expression profiles. However, an important open problem regards how to validate such approaches and its results. This work presents an objective approach for validation of gene network modeling and identification which comprises the following three main aspects: (1) Artificial Gene Networks (AGNs) model generation through theoretical models of complex networks, which is used to simulate temporal expression data; (2) a computational method for gene network identification from the simulated data, which is founded on a feature selection approach where a target gene is fixed and the expression profile is observed for all other genes in order to identify a relevant subset of predictors; and (3) validation of the identified AGN-based network through comparison with the original network. The proposed framework allows several types of AGNs to be generated and used in order to simulate temporal expression data. The results of the network identification method can then be compared to the original network in order to estimate its properties and accuracy. Some of the most important theoretical models of complex networks have been assessed: the uniformly-random Erdös-Rényi (ER), the small-world Watts-Strogatz (WS), the scale-free Barabási-Albert (BA), and geographical networks (GG). The experimental results indicate that the inference method was sensitive to average degree
Energy Efficiency and Demand Response for Residential Applications
NASA Astrophysics Data System (ADS)
Wellons, Christopher J., II
The purpose of this thesis is to analyze the costs, feasibility and benefits of implementing energy efficient devices and demand response programs to a residential consumer environment. Energy efficiency and demand response are important for many reasons, including grid stabilization. With energy demand increasing, as the years' pass, the drain on the grid is going up. There are two key solutions to this problem, increasing supply by building more power plants and decreasing demand during peak periods, by increasing participation in demand response programs and by upgrading residential and commercial customers to energy efficient devices, to lower demand throughout the day. This thesis focuses on utilizing demand response methods and energy efficient device to reduce demand. Four simulations were created to analyze these methods. These simulations show the importance of energy efficiency and demand response participation to help stabilize the grid, integrate more alternative energy resources, and reduce emissions from fossil fuel generating facilities. The results of these numerical analyses show that demand response and energy efficiency can be beneficial to consumers and utilities. With demand response being the most beneficial to the utility and energy efficiency, specifically LED lighting, providing the most benefits to the consumer.
The Effect of Spiritual Intelligence Training on Job Satisfaction of Psychiatric Nurses.
Heydari, Abbas; Meshkinyazd, Ali; Soudmand, Parvaneh
2017-04-01
Objective: Nurses are the most important staff in the health care system, thus, their job satisfaction is important in nursing management. The present study aimed at determining the impact of teaching spiritual intelligence on the job satisfaction of psychiatric nurses. Method: The participants were divided into 2 groups by random allocation. Data were collected in 3 stages of before intervention, 4 weeks, and 8 weeks post intervention using Brayfield & Rother Job Satisfaction Questionnaire. Results: The results of this study revealed that the mean score of job satisfaction in the experimental group was 65.5±9.9 in the pre intervention stage, which increased to 69.8±6.3 one month after the intervention and to 72.5±8.9 in 2 months after the intervention, and it was significantly more than that of the control group. Conclusion: The job satisfaction rate of the control group decreased admirably in both 1 month and 2 months after the intervention stage. Thus, spiritual intelligence training is an effective method to increase job satisfaction, and it is suggested that managers consider spiritual intelligence training to increase job satisfaction in nurses.
An overview of meta-analysis for clinicians.
Lee, Young Ho
2018-03-01
The number of medical studies being published is increasing exponentially, and clinicians must routinely process large amounts of new information. Moreover, the results of individual studies are often insufficient to provide confident answers, as their results are not consistently reproducible. A meta-analysis is a statistical method for combining the results of different studies on the same topic and it may resolve conflicts among studies. Meta-analysis is being used increasingly and plays an important role in medical research. This review introduces the basic concepts, steps, advantages, and caveats of meta-analysis, to help clinicians understand it in clinical practice and research. A major advantage of a meta-analysis is that it produces a precise estimate of the effect size, with considerably increased statistical power, which is important when the power of the primary study is limited because of a small sample size. A meta-analysis may yield conclusive results when individual studies are inconclusive. Furthermore, meta-analyses investigate the source of variation and different effects among subgroups. In summary, a meta-analysis is an objective, quantitative method that provides less biased estimates on a specific topic. Understanding how to conduct a meta-analysis aids clinicians in the process of making clinical decisions.
Godény, Sándor
2012-01-22
In Hungary, financing of healthcare has decreased relative to the GDP, while the health status of the population is still ranks among the worst in the European Union. Since healthcare financing is not expected to increase, the number of practicing doctors per capita is continuously decreasing. In the coming years, it is an important question that in this situation what methods can be used to prevent further deterioration of the health status of the Hungarian population, and within this is the role of the quality approach, and different methods of quality management. In the present and the forthcoming two articles those standpoints will be summarized which support the need for the integration of quality assurance in the everyday medical practice. In the first part the importance of quality thinking, quality management, quality assurance, necessity of quality measurement and improvement, furthermore, advantages of the quality systems will be discussed.
Shi, Baoli; Wang, Yue; Jia, Lina
2011-02-11
Inverse gas chromatography (IGC) is an important technique for the characterization of surface properties of solid materials. A standard method of surface characterization is that the surface dispersive free energy of the solid stationary phase is firstly determined by using a series of linear alkane liquids as molecular probes, and then the acid-base parameters are calculated from the dispersive parameters. However, for the calculation of surface dispersive free energy, generally, two different methods are used, which are Dorris-Gray method and Schultz method. In this paper, the results calculated from Dorris-Gray method and Schultz method are compared through calculating their ratio with their basic equations and parameters. It can be concluded that the dispersive parameters calculated with Dorris-Gray method will always be larger than the data calculated with Schultz method. When the measuring temperature increases, the ratio increases large. Compared with the parameters in solvents handbook, it seems that the traditional surface free energy parameters of n-alkanes listed in the papers using Schultz method are not enough accurate, which can be proved with a published IGC experimental result. © 2010 Elsevier B.V. All rights reserved.
Assessing the impact of planted forests on the global forest economy
Joseph Buongiorno; Shushuai Zhu
2014-01-01
Background: Planted forests are increasingly important in world forestry, natural resources conservation, and climate change policies. There is great interest in their potential for carbon sequestration and conservation of natural forests while they remain an essential source of fuelwood and industrial roundwood. Methods:...
Physiological attributes of 11 Northwest conifer species
Ronni L. Korol
2001-01-01
The quantitative description and simulation of the fundamental processes that characterize forest growth are increasing in importance in forestry research. Predicting future forest growth, however, is compounded by the various combinations of temperature, humidity, precipitation, and atmospheric carbon dioxide concentration that may occur. One method of integrating new...
Risk assessment increasingly relies more heavily on mode of action, thus the identification of human bioindicators of disease becomes all the more important. Genomic methods represent a tool for both mode of action determination and bioindicator identification. The Mechanistic In...
DOT National Transportation Integrated Search
2001-05-31
The safety of operators and passengers is a primary concern of transit systems and has become an increasingly important issue to transit bus operators themselves. Many transit agencies have experienced incidents of assaults against their bus operator...
OPEN PATH TUNABLE DIODE LASER ABSORPTION SPECTROSCOPY FOR ACQUISITION OF FUGITIVE EMISSION FLUX DATA
Air pollutant emission from unconfined sources is an increasingly important environmental issue. The U.S. EPA has developed a gorund-based optical remote sensing method that enables direct measurement of fugitive emission flux from large area sources. Open-path Fourier transfor...
Agricultural residues are efficient abrasive tools for weed control
USDA-ARS?s Scientific Manuscript database
Non-chemical control of weeds is one of the most important needs of organic agricultural production and, ironically, herbicide resistant crops. There is a knowledge gap regarding alternative control methods that reduce the use of herbicides. This need for alternatives is motivated by increased consu...
"I Finally Get It!": Developing Mathematical Understanding during Teacher Education
ERIC Educational Resources Information Center
Holm, Jennifer; Kajander, Ann
2012-01-01
A deep conceptual understanding of elementary mathematics as appropriate for teaching is increasingly thought to be an important aspect of elementary teacher capacity. This study explores preservice teachers' initial mathematical understandings and how these understandings developed during a mathematics methods course for upper elementary…
An Action Learning Method for Increased Innovation Capability in Organisations
ERIC Educational Resources Information Center
Olsson, Annika; Wadell, Carl; Odenrick, Per; Norell Bergendahl, Margareta
2010-01-01
Product innovation in highly complex and technological areas, such as medical technology, puts high requirements on the innovation capability of an organisation. Previous research and publications have highlighted organisational issues and learning matters as important and necessary for the development of innovation capability. Action learning…
USDA-ARS?s Scientific Manuscript database
Micrometeorological methods and ecosystem-scale energy and mass flux density measurements have become increasingly important in soil, agricultural, and environmental sciences. For many scientists without formal training in atmospheric science, these techniques are relatively inaccessible. Eddy cov...
Assessing Medication Effects in the MTA Study Using Neuropsychological Outcomes
ERIC Educational Resources Information Center
Epstein, Jeffery N.; Conners, C. Keith; Hervey, Aaron S.; Tonev, Simon T.; Arnold, L. Eugene; Abikoff, Howard B.; Elliott, Glen; Greenhill, Laurence L.; Hechtman, Lily; Hoagwood, Kimberly; Hinshaw, Stephen P.; Hoza, Betsy; Jensen, Peter S.; March, John S.; Newcorn, Jeffrey H.; Pelham, William E.; Severe, Joanne B.; Swanson, James M.; Wells, Karen; Vitiello, Benedetto; Wigal, Timothy
2006-01-01
Background: While studies have increasingly investigated deficits in reaction time (RT) and RT variability in children with attention deficit/hyperactivity disorder (ADHD), few studies have examined the effects of stimulant medication on these important neuropsychological outcome measures. Methods: 316 children who participated in the Multimodal…
Effects of a hydrodynamic process on extraction of carotenoids from tomato
USDA-ARS?s Scientific Manuscript database
We evaluated a proprietary sonoporation method that was introduced with the hope of increasing accessibility of phytonutrients in fruits and vegetables. Two important commodities were selected: tomato, a major source of carotenoids, notably lycopene, in the diet of the Western world; and Citrus, o...
Quantitative Risk Mapping of Urban Gas Pipeline Networks Using GIS
NASA Astrophysics Data System (ADS)
Azari, P.; Karimi, M.
2017-09-01
Natural gas is considered an important source of energy in the world. By increasing growth of urbanization, urban gas pipelines which transmit natural gas from transmission pipelines to consumers, will become a dense network. The increase in the density of urban pipelines will influence probability of occurring bad accidents in urban areas. These accidents have a catastrophic effect on people and their property. Within the next few years, risk mapping will become an important component in urban planning and management of large cities in order to decrease the probability of accident and to control them. Therefore, it is important to assess risk values and determine their location on urban map using an appropriate method. In the history of risk analysis of urban natural gas pipeline networks, the pipelines has always been considered one by one and their density in urban area has not been considered. The aim of this study is to determine the effect of several pipelines on the risk value of a specific grid point. This paper outlines a quantitative risk assessment method for analysing the risk of urban natural gas pipeline networks. It consists of two main parts: failure rate calculation where the EGIG historical data are used and fatal length calculation that involves calculation of gas release and fatality rate of consequences. We consider jet fire, fireball and explosion for investigating the consequences of gas pipeline failure. The outcome of this method is an individual risk and is shown as a risk map.
Family planning in the teen population.
Hillard, P J
1993-12-01
As an increasing percentage of adolescents reach their sexual debut at younger ages, effective contraceptive methods, which will decrease the risks of unintended pregnancies and sexually transmitted diseases (STDs), become even more critical. Contraceptive methods which are less 'compliance-dependent', such as the implantable subdermal levonorgestrel and the injectable depot formulation of medroxyprogesterone acetate, are popular in adolescents but careful counseling before method selection and on-going counseling when side-effects are experienced are necessary and essential. The use of condoms to decrease the risks of STDs will continue to be important for adolescents, and it remains to be seen what impact the long-term methods will have on effective condom use. Adolescents' access to abortions when contraceptive methods fail, or when no method is used, is being challenged with state laws which mandate parental notification or permission. A greater knowledge about the option of emergency contraception could potentially lead to increased use of this method, particularly when the option of medications such as RU486 becomes available. The potential for a reduction in unintended pregnancies in adolescents, and a reduced need for abortions is a welcome prospect.
Selenium analysis in waters. Part 2: Speciation methods.
LeBlanc, Kelly L; Kumkrong, Paramee; Mercier, Patrick H J; Mester, Zoltán
2018-06-21
In aquatic ecosystems, there is often no correlation between the total concentration of selenium present in the water column and the toxic effects observed in that environment. This is due, in part, to the variation in the bioavailability of different selenium species to organisms at the base of the aquatic food chain. The first part of this review (Kumkrong et al., 2018) discusses regulatory framework and standard methodologies for selenium analysis in waters. In this second article, we are reviewing the state of speciation analysis and importance of speciation data for decision makers in industry and regulators. We look in detail at fractionation methods for speciation, including the popular selective sequential hydride generation. We examine advantages and limitations of these methods, in terms of achievable detection limits and interferences from other matrix species, as well as the potential to over- or under-estimate operationally-defined fractions based on the various conversion steps involved in fractionation processes. Additionally, we discuss methods of discrete speciation (through separation methods), their importance in analyzing individual selenium species, difficulties associated with their implementation, as well as ways to overcome these difficulties. We also provide a brief overview of biological treatment methods for the remediation of selenium-contaminated waters. We discuss the importance of selenium speciation in the application of these methods and their potential to actually increase the bioavailability of selenium despite decreasing its total waterborne concentration. Copyright © 2018. Published by Elsevier B.V.
Statistics for wildlifers: how much and what kind?
Johnson, D.H.; Shaffer, T.L.; Newton, W.E.
2001-01-01
Quantitative methods are playing increasingly important roles in wildlife ecology and, ultimately, management. This change poses a challenge for wildlife practitioners and students who are not well-educated in mathematics and statistics. Here we give our opinions on what wildlife biologists should know about statistics, while recognizing that not everyone is inclined mathematically. For those who are, we recommend that they take mathematics coursework at least through calculus and linear algebra. They should take statistics courses that are focused conceptually , stressing the Why rather than the How of doing statistics. For less mathematically oriented wildlifers, introductory classes in statistical techniques will furnish some useful background in basic methods but may provide little appreciation of when the methods are appropriate. These wildlifers will have to rely much more on advice from statisticians. Far more important than knowing how to analyze data is an understanding of how to obtain and recognize good data. Regardless of the statistical education they receive, all wildlife biologists should appreciate the importance of controls, replication, and randomization in studies they conduct. Understanding these concepts requires little mathematical sophistication, but is critical to advancing the science of wildlife ecology.
de Irala, Jokin; Lopez del Burgo, Cristina; Lopez de Fez, Carmen M; Arredondo, Jorge; Mikolajczyk, Rafael T; Stanford, Joseph B
2007-06-27
Informed consent in family planning includes knowledge of mechanism of action. Some methods of family planning occasionally work after fertilization. Knowing about postfertilization effects may be important to some women before choosing a certain family planning method. The objective of this survey is to explore women's attitudes towards postfertilization effects of family planning methods, and beliefs and characteristics possibly associated with those attitudes. Cross-sectional survey in a sample of 755 potentially fertile women, aged 18-49, from Primary Care Health Centres in Pamplona, Spain. Participants were given a 30-item, self-administered, anonymous questionnaire about family planning methods and medical and surgical abortion. Logistic regression was used to identify variables associated with women's attitudes towards postfertilization effects. The response rate was 80%. The majority of women were married, held an academic degree and had no children. Forty percent of women would not consider using a method that may work after fertilization but before implantation and 57% would not consider using one that may work after implantation. While 35.3% of the sample would stop using a method if they learned that it sometimes works after fertilization, this percentage increased to 56.3% when referring to a method that sometimes works after implantation. Women who believe that human life begins at fertilization and those who consider it is important to distinguish between natural and induced embryo loss were less likely to consider the use of a method with postfertilization effects. Information about potential postfertilization effects of family planning methods may influence women's acceptance and choice of a particular family planning method. Additional studies in other populations are necessary to evaluate whether these beliefs are important to those populations.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Wagner, John C; Peplow, Douglas E.; Mosher, Scott W
2014-01-01
This paper presents a new hybrid (Monte Carlo/deterministic) method for increasing the efficiency of Monte Carlo calculations of distributions, such as flux or dose rate distributions (e.g., mesh tallies), as well as responses at multiple localized detectors and spectra. This method, referred to as Forward-Weighted CADIS (FW-CADIS), is an extension of the Consistent Adjoint Driven Importance Sampling (CADIS) method, which has been used for more than a decade to very effectively improve the efficiency of Monte Carlo calculations of localized quantities, e.g., flux, dose, or reaction rate at a specific location. The basis of this method is the development ofmore » an importance function that represents the importance of particles to the objective of uniform Monte Carlo particle density in the desired tally regions. Implementation of this method utilizes the results from a forward deterministic calculation to develop a forward-weighted source for a deterministic adjoint calculation. The resulting adjoint function is then used to generate consistent space- and energy-dependent source biasing parameters and weight windows that are used in a forward Monte Carlo calculation to obtain more uniform statistical uncertainties in the desired tally regions. The FW-CADIS method has been implemented and demonstrated within the MAVRIC sequence of SCALE and the ADVANTG/MCNP framework. Application of the method to representative, real-world problems, including calculation of dose rate and energy dependent flux throughout the problem space, dose rates in specific areas, and energy spectra at multiple detectors, is presented and discussed. Results of the FW-CADIS method and other recently developed global variance reduction approaches are also compared, and the FW-CADIS method outperformed the other methods in all cases considered.« less
Terahertz time-domain spectroscopy of chondroitin sulfate
Shi, Changcheng; Ma, Yuting; Zhang, Jin; Wei, Dongshan; Wang, Huabin; Peng, Xiaoyu; Tang, Mingjie; Yan, Shihan; Zuo, Guokun; Du, Chunlei; Cui, Hongliang
2018-01-01
Chondroitin sulfate (CS), derived from cartilage tissues, is an important type of biomacromolecule. In this paper, the terahertz time-domain spectroscopy (THz-TDS) was investigated as a potential method for content detection of CS. With the increase of the CS content, the THz absorption coefficients of the CS/polyethylene mixed samples linearly increase. The refractive indices of the mixed samples also increase when the CS content increases. The extinction coefficient of CS demonstrates the THz frequency dependence to be approximately the power of 1.4, which can be explained by the effects of CS granular solids on THz scattering. PMID:29541526
Air Pollution Forecasts: An Overview
Bai, Lu; Wang, Jianzhou; Lu, Haiyan
2018-01-01
Air pollution is defined as a phenomenon harmful to the ecological system and the normal conditions of human existence and development when some substances in the atmosphere exceed a certain concentration. In the face of increasingly serious environmental pollution problems, scholars have conducted a significant quantity of related research, and in those studies, the forecasting of air pollution has been of paramount importance. As a precaution, the air pollution forecast is the basis for taking effective pollution control measures, and accurate forecasting of air pollution has become an important task. Extensive research indicates that the methods of air pollution forecasting can be broadly divided into three classical categories: statistical forecasting methods, artificial intelligence methods, and numerical forecasting methods. More recently, some hybrid models have been proposed, which can improve the forecast accuracy. To provide a clear perspective on air pollution forecasting, this study reviews the theory and application of those forecasting models. In addition, based on a comparison of different forecasting methods, the advantages and disadvantages of some methods of forecasting are also provided. This study aims to provide an overview of air pollution forecasting methods for easy access and reference by researchers, which will be helpful in further studies. PMID:29673227
Air Pollution Forecasts: An Overview.
Bai, Lu; Wang, Jianzhou; Ma, Xuejiao; Lu, Haiyan
2018-04-17
Air pollution is defined as a phenomenon harmful to the ecological system and the normal conditions of human existence and development when some substances in the atmosphere exceed a certain concentration. In the face of increasingly serious environmental pollution problems, scholars have conducted a significant quantity of related research, and in those studies, the forecasting of air pollution has been of paramount importance. As a precaution, the air pollution forecast is the basis for taking effective pollution control measures, and accurate forecasting of air pollution has become an important task. Extensive research indicates that the methods of air pollution forecasting can be broadly divided into three classical categories: statistical forecasting methods, artificial intelligence methods, and numerical forecasting methods. More recently, some hybrid models have been proposed, which can improve the forecast accuracy. To provide a clear perspective on air pollution forecasting, this study reviews the theory and application of those forecasting models. In addition, based on a comparison of different forecasting methods, the advantages and disadvantages of some methods of forecasting are also provided. This study aims to provide an overview of air pollution forecasting methods for easy access and reference by researchers, which will be helpful in further studies.
The effect of alkaline pretreatment methods on cellulose structure and accessibility
Bali, Garima; Meng, Xianzhi; Deneff, Jacob I.; ...
2014-11-24
The effects of different alkaline pretreatments on cellulose structural features and accessibility are compared and correlated with the enzymatic hydrolysis of Populus. The pretreatments are shown to modify polysaccharides and lignin content to enhance the accessibility for cellulase enzymes. The highest increase in the cellulose accessibility was observed in dilute sodium hydroxide, followed by methods using ammonia soaking and lime (Ca(OH) 2). The biggest increase of cellulose accessibility occurs during the first 10 min of pretreatment, with further increases at a slower rate as severity increases. Low temperature ammonia soaking at longer residence times dissolved a major portion of hemicellulosemore » and exhibited higher cellulose accessibility than high temperature soaking. Moreover, the most significant reduction of degree of polymerization (DP) occurred for dilute sodium hydroxide (NaOH) and ammonia pretreated Populus samples. The study thus identifies important cellulose structural features and relevant parameters related to biomass recalcitrance.« less
Review of the Methods for Production of Spherical Ti and Ti Alloy Powder
NASA Astrophysics Data System (ADS)
Sun, Pei; Fang, Zhigang Zak; Zhang, Ying; Xia, Yang
2017-10-01
Spherical titanium alloy powder is an important raw material for near-net-shape fabrication via a powder metallurgy (PM) manufacturing route, as well as feedstock for powder injection molding, and additive manufacturing (AM). Nevertheless, the cost of Ti powder including spherical Ti alloy has been a major hurdle that prevented PM Ti from being adopted for a wide range of applications. Especially with the increasing importance of powder-bed based AM technologies, the demand for spherical Ti powder has brought renewed attention on properties and cost, as well as on powder-producing processes. The performance of Ti components manufactured from powder has a strong dependence on the quality of powder, and it is therefore crucial to understand the properties and production methods of powder. This article aims to provide a cursory review of the basic techniques of commercial and emerging methods for making spherical Ti powder. The advantages as well as limitations of different methods are discussed.
Neural image analysis in the process of quality assessment: domestic pig oocytes
NASA Astrophysics Data System (ADS)
Boniecki, P.; Przybył, J.; Kuzimska, T.; Mueller, W.; Raba, B.; Lewicki, A.; Przybył, K.; Zaborowicz, M.; Koszela, K.
2014-04-01
The questions related to quality classification of animal oocytes are explored by numerous scientific and research centres. This research is important, particularly in the context of improving the breeding value of farm animals. The methods leading to the stimulation of normal development of a larger number of fertilised animal oocytes in extracorporeal conditions are of special importance. Growing interest in the techniques of supported reproduction resulted in searching for new, increasingly effective methods for quality assessment of mammalian gametes and embryos. Progress in the production of in vitro animal embryos in fact depends on proper classification of obtained oocytes. The aim of this paper was the development of an original method for quality assessment of oocytes, performed on the basis of their graphical presentation in the form of microscopic digital images. The classification process was implemented on the basis of the information coded in the form of microphotographic pictures of the oocytes of domestic pig, using the modern methods of neural image analysis.
Clinically significant change in stroke volume in pulmonary hypertension.
van Wolferen, Serge A; van de Veerdonk, Marielle C; Mauritz, Gert-Jan; Jacobs, Wouter; Marcus, J Tim; Marques, Koen M J; Bronzwaer, Jean G F; Heymans, Martijn W; Boonstra, Anco; Postmus, Pieter E; Westerhof, Nico; Vonk Noordegraaf, Anton
2011-05-01
Stroke volume is probably the best hemodynamic parameter because it reflects therapeutic changes and contains prognostic information in pulmonary hypertension (PH). Stroke volume directly reflects right ventricular function in response to its load, without the correction of compensatory increased heart rate as is the case for cardiac output. For this reason, stroke volume, which can be measured noninvasively, is an important hemodynamic parameter to monitor during treatment. However, the extent of change in stroke volume that constitutes a clinically significant change is unknown. The aim of this study was to determine the minimal important difference (MID) in stroke volume in PH. One hundred eleven patients were evaluated at baseline and after 1 year of follow-up with a 6-min walk test (6MWT) and cardiac MRI. Using the anchor-based method with 6MWT as the anchor, and the distribution-based method, the MID of stroke volume change could be determined. After 1 year of treatment, there was, on average, a significant increase in stroke volume and 6MWT. The change in stroke volume was related to the change in 6MWT. Using the anchor-based method, an MID of 10 mL in stroke volume was calculated. The distribution-based method resulted in an MID of 8 to 12 mL. Both methods showed that a 10-mL change in stroke volume during follow-up should be considered as clinically relevant. This value can be used to interpret changes in stroke volume during clinical follow-up in PH.
The art and science of knowledge synthesis.
Tricco, Andrea C; Tetzlaff, Jennifer; Moher, David
2011-01-01
To review methods for completing knowledge synthesis. We discuss how to complete a broad range of knowledge syntheses. Our article is intended as an introductory guide. Many groups worldwide conduct knowledge syntheses, and some methods are applicable to most reviews. However, variations of these methods are apparent for different types of reviews, such as realist reviews and mixed-model reviews. Review validity is dependent on the validity of the included primary studies and the review process itself. Steps should be taken to avoid bias in the conduct of knowledge synthesis. Transparency in reporting will help readers assess review validity and applicability, increasing its utility. Given the magnitude of the literature, the increasing demands on knowledge syntheses teams, and the diversity of approaches, continuing efforts will be important to increase the efficiency, validity, and applicability of systematic reviews. Future research should focus on increasing the uptake of knowledge synthesis, how best to update reviews, the comparability between different types of reviews (eg, rapid vs. comprehensive reviews), and how to prioritize knowledge synthesis topics. Copyright © 2011 Elsevier Inc. All rights reserved.
Automatic pickup of arrival time of channel wave based on multi-channel constraints
NASA Astrophysics Data System (ADS)
Wang, Bao-Li
2018-03-01
Accurately detecting the arrival time of a channel wave in a coal seam is very important for in-seam seismic data processing. The arrival time greatly affects the accuracy of the channel wave inversion and the computed tomography (CT) result. However, because the signal-to-noise ratio of in-seam seismic data is reduced by the long wavelength and strong frequency dispersion, accurately timing the arrival of channel waves is extremely difficult. For this purpose, we propose a method that automatically picks up the arrival time of channel waves based on multi-channel constraints. We first estimate the Jaccard similarity coefficient of two ray paths, then apply it as a weight coefficient for stacking the multichannel dispersion spectra. The reasonableness and effectiveness of the proposed method is verified in an actual data application. Most importantly, the method increases the degree of automation and the pickup precision of the channel-wave arrival time.
Uncovering the spatial structure of mobility networks
NASA Astrophysics Data System (ADS)
Louail, Thomas; Lenormand, Maxime; Picornell, Miguel; García Cantú, Oliva; Herranz, Ricardo; Frias-Martinez, Enrique; Ramasco, José J.; Barthelemy, Marc
2015-01-01
The extraction of a clear and simple footprint of the structure of large, weighted and directed networks is a general problem that has relevance for many applications. An important example is seen in origin-destination matrices, which contain the complete information on commuting flows, but are difficult to analyze and compare. We propose here a versatile method, which extracts a coarse-grained signature of mobility networks, under the form of a 2 × 2 matrix that separates the flows into four categories. We apply this method to origin-destination matrices extracted from mobile phone data recorded in 31 Spanish cities. We show that these cities essentially differ by their proportion of two types of flows: integrated (between residential and employment hotspots) and random flows, whose importance increases with city size. Finally, the method allows the determination of categories of networks, and in the mobility case, the classification of cities according to their commuting structure.
Iterative CT reconstruction using coordinate descent with ordered subsets of data
NASA Astrophysics Data System (ADS)
Noo, F.; Hahn, K.; Schöndube, H.; Stierstorfer, K.
2016-04-01
Image reconstruction based on iterative minimization of a penalized weighted least-square criteria has become an important topic of research in X-ray computed tomography. This topic is motivated by increasing evidence that such a formalism may enable a significant reduction in dose imparted to the patient while maintaining or improving image quality. One important issue associated with this iterative image reconstruction concept is slow convergence and the associated computational effort. For this reason, there is interest in finding methods that produce approximate versions of the targeted image with a small number of iterations and an acceptable level of discrepancy. We introduce here a novel method to produce such approximations: ordered subsets in combination with iterative coordinate descent. Preliminary results demonstrate that this method can produce, within 10 iterations and using only a constant image as initial condition, satisfactory reconstructions that retain the noise properties of the targeted image.
Performance index and meta-optimization of a direct search optimization method
NASA Astrophysics Data System (ADS)
Krus, P.; Ölvander, J.
2013-10-01
Design optimization is becoming an increasingly important tool for design, often using simulation as part of the evaluation of the objective function. A measure of the efficiency of an optimization algorithm is of great importance when comparing methods. The main contribution of this article is the introduction of a singular performance criterion, the entropy rate index based on Shannon's information theory, taking both reliability and rate of convergence into account. It can also be used to characterize the difficulty of different optimization problems. Such a performance criterion can also be used for optimization of the optimization algorithms itself. In this article the Complex-RF optimization method is described and its performance evaluated and optimized using the established performance criterion. Finally, in order to be able to predict the resources needed for optimization an objective function temperament factor is defined that indicates the degree of difficulty of the objective function.
Barolin, Gerhard S
2003-01-01
Group-therapy and autogenic training in combination show mutual potentiation. Our results have proved the hypothesis to be true and we have also been able to explain it by an analysis of the neurophysiological and psychological findings concerning both methods. Our "model" has proved to be very economical in time and can be easily applied. It needs basic psychotherapeutical education but no special additive schooling. It is particularly well employed in rehabilitation patients, elderly patients and geronto-rehabilitation patients. As numbers of such patients are steadily increasing, it could soon become highly important, and in the technically dominated medicine of today, the particularly communicative component that we postulate in integrated psychotherapy could also grow in importance. By combining the two methods, it is not method that is at the centre of our endeavours but the patient.
[Evaluation of the Global Research Architecture Regarding Diabetic Retinopathy].
Schöffel, N; Wahrlich, N; Groneberg, D A; Bundschuh, M; Ohlendorf, D; Bendels, M H K
2017-02-01
Aims and Scope: Diabetic retinopathy (DR) is of major scientific and socioeconomic interest in most of the industrialized countries due to increasing prevalence. This interest is reflected by a marked increase in the number of publications since the 1990 s. It is therefore difficult for a single author to obtain an overview of the topic. Material and Methods: The total number of published items on DR was determined in the Web of Science database. All bibliometric data were collected for the period 1900 to 2008 (search term:"diabet* retinopath*" and "diabet* macul*"). A number of different scientometric methods were applied in accordance with the NewQIS protocol, e.g. state of the art visualisation techniques such as density equalising maps and network diagrams. Results: A total of 15,624 publications were identified. The U. S. A. leads in the overall number of publications (4,689). The most productive and the most prolific institutions, authors and publications are all in the U. S. A. The University of Wisconsin (i.e. Ronald Klein and his wife Barbara Eden Kobrin Klein) have established an international network with a large number of institutions publishing important work. Nevertheless, many other important institutions can be identified, e.g. the Joslin Diabetes Center, which has published many articles on VEGF. Conclusion: The results reveal that the scientific interest on the topic DR is continuously increasing. International collaboration is of growing importance in this field. Georg Thieme Verlag KG Stuttgart · New York.
Method for determiantion of the frequency-contrast characteristics of electronic-optic systems
NASA Astrophysics Data System (ADS)
Mardirossian, Garo; Zhekov, Zhivko
The frequency-contrast characteristics is an important criterion to judge the quality of electronic-optic systems, which boast an increasing application in space research, astronomy, martial art etc. The paper provides a brief description of the methods for determining the frequency-contrast characteristics of optic systems, developed at the Space Research Institute of the Bulgarian Academy of Science. The suggested methods have been used to develop a couple of electronic-optic systems participated in the designed ground-based and aerospace scientific-research equipment. Based on the obtained practical results, the conclusion was made that the methods provide to obtain sufficiently precise data, which coincide well with the results, obtained when using other methods.
Design and Implementation of 3D Model Data Management System Based on SQL
NASA Astrophysics Data System (ADS)
Li, Shitao; Zhang, Shixin; Zhang, Zhanling; Li, Shiming; Jia, Kun; Hu, Zhongxu; Ping, Liang; Hu, Youming; Li, Yanlei
CAD/CAM technology plays an increasingly important role in the machinery manufacturing industry. As an important means of production, the accumulated three-dimensional models in many years of design work are valuable. Thus the management of these three-dimensional models is of great significance. This paper gives detailed explanation for a method to design three-dimensional model databases based on SQL and to implement the functions such as insertion, modification, inquiry, preview and so on.
Liu, Rong
2017-01-01
Obtaining a fast and reliable decision is an important issue in brain-computer interfaces (BCI), particularly in practical real-time applications such as wheelchair or neuroprosthetic control. In this study, the EEG signals were firstly analyzed with a power projective base method. Then we were applied a decision-making model, the sequential probability ratio testing (SPRT), for single-trial classification of motor imagery movement events. The unique strength of this proposed classification method lies in its accumulative process, which increases the discriminative power as more and more evidence is observed over time. The properties of the method were illustrated on thirteen subjects' recordings from three datasets. Results showed that our proposed power projective method outperformed two benchmark methods for every subject. Moreover, with sequential classifier, the accuracies across subjects were significantly higher than that with nonsequential ones. The average maximum accuracy of the SPRT method was 84.1%, as compared with 82.3% accuracy for the sequential Bayesian (SB) method. The proposed SPRT method provides an explicit relationship between stopping time, thresholds, and error, which is important for balancing the time-accuracy trade-off. These results suggest SPRT would be useful in speeding up decision-making while trading off errors in BCI. PMID:29348781
Best practice in forensic entomology--standards and guidelines.
Amendt, Jens; Campobasso, Carlo P; Gaudry, Emmanuel; Reiter, Christian; LeBlanc, Hélène N; Hall, Martin J R
2007-03-01
Forensic entomology, the use of insects and other arthropods in forensic investigations, is becoming increasingly more important in such investigations. To ensure its optimal use by a diverse group of professionals including pathologists, entomologists and police officers, a common frame of guidelines and standards is essential. Therefore, the European Association for Forensic Entomology has developed a protocol document for best practice in forensic entomology, which includes an overview of equipment used for collection of entomological evidence and a detailed description of the methods applied. Together with the definitions of key terms and a short introduction to the most important methods for the estimation of the minimum postmortem interval, the present paper aims to encourage a high level of competency in the field of forensic entomology.
Spectrally resolved far-fields of terahertz quantum cascade lasers.
Brandstetter, Martin; Schönhuber, Sebastian; Krall, Michael; Kainz, Martin A; Detz, Hermann; Zederbauer, Tobias; Andrews, Aaron M; Strasser, Gottfried; Unterrainer, Karl
2016-10-31
We demonstrate a convenient and fast method to measure the spectrally resolved far-fields of multimode terahertz quantum cascade lasers by combining a microbolometer focal plane array with an FTIR spectrometer. Far-fields of fundamental TM0 and higher lateral order TM1 modes of multimode Fabry-Pérot type lasers have been distinguished, which very well fit to the results obtained by a 3D finite-element simulation. Furthermore, multimode random laser cavities have been investigated, analyzing the contribution of each single laser mode to the total far-field. The presented method is thus an important tool to gain in-depth knowledge of the emission properties of multimode laser cavities at terahertz frequencies, which become increasingly important for future sensing applications.
Epidemiology and detection as options for control of viral and parasitic foodborne disease.
Jaykus, L. A.
1997-01-01
Human enteric viruses and protozoal parasites are important causes of emerging food and waterborne disease. Epidemiologic investigation and detection of the agents in clinical, food, and water specimens, which are traditionally used to establish the cause of disease outbreaks, are either cumbersome, expensive, and frequently unavailable or unattempted for the important food and waterborne enteric viruses and protozoa. However, the recent introduction of regulatory testing mandates, alternative testing strategies, and increased epidemiologic surveillance for food and waterborne disease should significantly improve the ability to detect and control these agents. We discuss new methods of investigating foodborne viral and parasitic disease and the future of these methods in recognizing, identifying, and controlling disease agents. PMID:9366607
Recent progress in chemical and chemoenzymatic synthesis of carbohydrates.
Muthana, Saddam; Cao, Hongzhi; Chen, Xi
2009-12-01
The important roles that carbohydrates play in biological processes and their potential application in diagnosis, therapeutics, and vaccine development have made them attractive synthetic targets. Despite ongoing challenges, tremendous progresses have been made in recent years for the synthesis of carbohydrates. The chemical glycosylation methods have become more sophisticated and the synthesis of oligosaccharides has become more predictable. Simplified one-pot glycosylation strategy and automated synthesis are increasingly used to obtain biologically important glycans. On the other hand, chemoenzymatic synthesis continues to be a powerful alternative for obtaining complex carbohydrates. This review highlights recent progress in chemical and chemoenzymatic synthesis of carbohydrates with a particular focus on the methods developed for the synthesis of oligosaccharides, polysaccharides, glycolipids, and glycosylated natural products.
Recent Progress in Chemical and Chemoenzymatic Synthesis of Carbohydrates
Muthana, Saddam; Cao, Hongzhi; Chen, Xi
2011-01-01
Summary The important roles that carbohydrates play in biological processes and their potential application in diagnosis, therapeutics, and vaccine development have made them attractive synthetic targets. Despite ongoing challenges, tremendous progresses have been made in recent years for the synthesis of carbohydrates. The chemical glycosylation methods have become more sophisticated and the synthesis of oligosaccharides has become more predictable. Simplified one-pot glycosylation strategy and automated synthesis are increasingly used to obtain biologically important glycans. On the other hand, chemoenzymatic synthesis continues to be a powerful alternative for obtaining complex carbohydrates. This review highlights recent progress in chemical and chemoenzymatic synthesis of carbohydrates with a particular focus on the methods developed for the synthesis of oligosaccharides, polysaccharides, glycolipids, and glycosylated natural products. PMID:19833544
ACOG Committee Opinion Number 542: Access to emergency contraception.
2012-11-01
Emergency contraception includes contraceptive methods used to prevent pregnancy in the first few days after unprotected intercourse, sexual assault, or contraceptive failure. Although the U.S. Food and Drug Administration approved the first dedicated product for emergency contraception in 1998, numerous barriers to access to emergency contraception remain. The purpose of this Committee Opinion is to examine the barriers to the use of oral emergency contraception methods and to highlight the importance of increasing access.
Using the Nudge and Shove Methods to Adjust Item Difficulty Values.
Royal, Kenneth D
2015-01-01
In any examination, it is important that a sufficient mix of items with varying degrees of difficulty be present to produce desirable psychometric properties and increase instructors' ability to make appropriate and accurate inferences about what a student knows and/or can do. The purpose of this "teaching tip" is to demonstrate how examination items can be affected by the quality of distractors, and to present a simple method for adjusting items to meet difficulty specifications.
Three decision-making aids: brainstorming, nominal group, and Delphi technique.
McMurray, A R
1994-01-01
The methods of brainstorming, Nominal Group Technique, and the Delphi technique can be important resources for nursing staff development educators who wish to expand their decision-making skills. Staff development educators may find opportunities to use these methods for such tasks as developing courses, setting departmental goals, and forecasting trends for planning purposes. Brainstorming, Nominal Group Technique, and the Delphi technique provide a structured format that helps increase the quantity and quality of participant responses.
Research and Implementation of Tibetan Word Segmentation Based on Syllable Methods
NASA Astrophysics Data System (ADS)
Jiang, Jing; Li, Yachao; Jiang, Tao; Yu, Hongzhi
2018-03-01
Tibetan word segmentation (TWS) is an important problem in Tibetan information processing, while abbreviated word recognition is one of the key and most difficult problems in TWS. Most of the existing methods of Tibetan abbreviated word recognition are rule-based approaches, which need vocabulary support. In this paper, we propose a method based on sequence tagging model for abbreviated word recognition, and then implement in TWS systems with sequence labeling models. The experimental results show that our abbreviated word recognition method is fast and effective and can be combined easily with the segmentation model. This significantly increases the effect of the Tibetan word segmentation.
[Enzymatic analysis of the quality of foodstuffs].
Kolesnov, A Iu
1997-01-01
Enzymatic analysis is an independent and separate branch of enzymology and analytical chemistry. It has become one of the most important methodologies used in food analysis. Enzymatic analysis allows the quick, reliable determination of many food ingredients. Often these contents cannot be determined by conventional methods, or if methods are available, they are determined only with limited accuracy. Today, methods of enzymatic analysis are being increasingly used in the investigation of foodstuffs. Enzymatic measurement techniques are used in industry, scientific and food inspection laboratories for quality analysis. This article describes the requirements of an optimal analytical method: specificity, sample preparation, assay performance, precision, sensitivity, time requirement, analysis cost, safety of reagents.
Discerning trends in multiplex immunoassay technology with potential for resource-limited settings.
Gordon, Julian; Michel, Gerd
2012-04-01
In the search for more powerful tools for diagnoses of endemic diseases in resource-limited settings, we have been analyzing technologies with potential applicability. Increasingly, the process focuses on readily accessible bodily fluids combined with increasingly powerful multiplex capabilities to unambiguously diagnose a condition without resorting to reliance on a sophisticated reference laboratory. Although these technological advances may well have important implications for the sensitive and specific detection of disease, to date their clinical utility has not been demonstrated, especially in resource-limited settings. Furthermore, many emerging technological developments are in fields of physics or engineering, which are not readily available to or intelligible to clinicians or clinical laboratory scientists. This review provides a look at technology trends that could have applicability to high-sensitivity multiplexed immunoassays in resource-limited settings. Various technologies are explained and assessed according to potential for reaching relevant limits of cost, sensitivity, and multiplex capability. Frequently, such work is reported in technical journals not normally read by clinical scientists, and the authors make enthusiastic claims for the potential of their technology while ignoring potential pitfalls. Thus it is important to draw attention to technical hurdles that authors may not be publicizing. Immunochromatographic assays, optical methods including those involving waveguides, electrochemical methods, magnetorestrictive methods, and field-effect transistor methods based on nanotubes, nanowires, and nanoribbons reveal possibilities as next-generation technologies.
[Nanotechnology, nanomedicine and nanopharmacology].
Fernández, Pedro Lorenzo
2007-01-01
Based on Nanotechnology methods, Nanomedicine and Nanotecnology will obtain significant advances in areas such as Diagnostic, Regenerative Medicine and pharmacological Therapeutics. With nanotechnology-based drug delivery systems,important improvement on pharmacokinetics of drugs will take place, due to increased solubility, protection against decrease in drug effects due to excessive metabolism and subsequent increase of bioavailability. Improvement on pharmacodynamic parameters will occur also due to increased drug concentration in target tissues. Also the use of Nanotechnology in the modern pharmacology will serve for a more accurate control of doses, which will decrease significantly drug toxicity.
Teacher Networks in Philadelphia: Landscape, Engagement, and Value
ERIC Educational Resources Information Center
Schiff, Daniel; Herzog, Liza; Farley-Ripple, Elizabeth; Iannuccilli, Lauren Thum
2015-01-01
Teacher collaboration has become an increasingly important lever for school improvement efforts. This is especially true in high need urban districts, which struggle with capacity building in the face of significant teacher turnover, major shifts in curriculum and instruction, and scarce resources. This paper employs a mixed methods approach to…
Implementing a Modular Research-Supported Treatment in Child Welfare: Effects and Obstacles
ERIC Educational Resources Information Center
Schuler, Brittany R.; Lee, Bethany R.; Kolivoski, Karen M.; Attman, Nicole P.; Lindsey, Michael A.
2016-01-01
Objective: Increasing rates of mental health needs in child welfare clients highlight the importance of training child welfare workers in effective mental health interventions. This pilot study evaluates the effects of training public child welfare workers and interns in modularized research-supported treatments (RSTs). Methods: We compared…
Providing Counseling for Individuals with Alzheimer's Disease and Their Caregivers
ERIC Educational Resources Information Center
Granello, Paul F.; Fleming, Matthew S.
2008-01-01
Alzheimer's disease is a progressive condition that results in brain wasting and eventual death. With its increasing diagnosis rate, counselors will likely acquire clients with Alzheimer's disease or their caregivers. Important background information and several practical counseling methods are provided that may assist counselors working with this…
Mass Education: Its Importance in India
ERIC Educational Resources Information Center
Mathias, T. A.
1975-01-01
Citing wrong priorities and methods and lack of conviction as reasons for illiteracy in India increasing by about 15 per cent in the first 24 years of independence, the author calls for emphasis on primary and adult education, some of it informal, as in the Satellite Instructional Television Experiment. (JT)
USDA-ARS?s Scientific Manuscript database
Emerging Campylobacter spp. and arcobacters have been increasingly isolated from human clinical samples, food and the environment. Unambiguous species identification of such organisms is of obvious importance in epidemiological studies, but is also necessary to accurately assess their host range and...
Learning Sorting Algorithms through Visualization Construction
ERIC Educational Resources Information Center
Cetin, Ibrahim; Andrews-Larson, Christine
2016-01-01
Recent increased interest in computational thinking poses an important question to researchers: What are the best ways to teach fundamental computing concepts to students? Visualization is suggested as one way of supporting student learning. This mixed-method study aimed to (i) examine the effect of instruction in which students constructed…
Solar irradiance has been increasingly recognized as an important determinant of bleaching in coral reefs, but measurements of solar radiation exposure within coral reefs have been relatively limited. Solar irradiance and diffuse down welling attenuation coefficients (Kd, m-1) we...
Challenging Cancer at the Grass Roots.
ERIC Educational Resources Information Center
Casto, James E.
1997-01-01
The National Cancer Institute created the Appalachia Leadership Initiative on Cancer, composed of four similar projects that focus on increasing screening for cervical and breast cancer among low-income, older women. The program relies on community coalitions that develop innovative grass roots methods to spread the message about the importance of…
Processing can alter the properties of peanut extract preparations.
USDA-ARS?s Scientific Manuscript database
As peanut allergy is an increasing public health risk, affecting over 1% of the United States and United Kingdom school children; it is important that methods and reagents for accurate diagnosis of food allergy, and detection of allergenic foods are reliable and consistent. Given that most current e...
Real-Time Collaboration of Virtual Laboratories through the Internet
ERIC Educational Resources Information Center
Jara, Carlos A.; Candelas, Francisco A.; Torres, Fernando; Dormido, Sebastian; Esquembre, Francisco; Reinoso, Oscar
2009-01-01
Web-based learning environments are becoming increasingly popular in higher education. One of the most important web-learning resources is the virtual laboratory (VL), which gives students an easy way for training and learning through the Internet. Moreover, on-line collaborative communication represents a practical method to transmit the…
First Principles of Attitudinal Change: A Review of Principles, Methods and Strategies
ERIC Educational Resources Information Center
Mueller, Chad; Lim, Jieun; Watson, Sunnie Lee
2017-01-01
Knowing how to effectively design attitudinal change instruction for various learning settings is essential for instructional designers. However, the research on instructional design for attitudinal change instruction has been relatively dispersed and lacks cohesion, despite its increasing importance. The purposes of this paper are to (1) reignite…
Preparation of Youth Sport Coaches: An Educational Application of Sport Psychology.
ERIC Educational Resources Information Center
Smoll, Frank L.; Smith, Ronald E.
1981-01-01
Sport psychology has become increasingly important in the development of athletic programs intended to promote healthy physical and psychological development of young participants. In an effort to develop appropriate methods of training coaches to meet the children's needs more fully, behavioral guidelines and assessments are devised and…
Managing Abiotic Factors of Compost to Increase Soilborne Disease Suppression
ERIC Educational Resources Information Center
Griffin, Deirdre E.
2012-01-01
Soilborne pathogens can devastate crops, causing economic losses for farmers due to reduced yields and expensive management practices. Fumigants and fungicides have harmful impacts on the surrounding environment and can be toxic to humans. Therefore, alternative methods of disease management are important. The disease suppressive abilities of…
Applying Meta-Analysis to Structural Equation Modeling
ERIC Educational Resources Information Center
Hedges, Larry V.
2016-01-01
Structural equation models play an important role in the social sciences. Consequently, there is an increasing use of meta-analytic methods to combine evidence from studies that estimate the parameters of structural equation models. Two approaches are used to combine evidence from structural equation models: A direct approach that combines…
Efforts are increasingly being made to classify the world’s wetland resources, an important ecosystem and habitat that is diminishing in abundance. There are multiple remote sensing classification methods, including a suite of nonparametric classifiers such as decision-tree...
Using Video-Stimulated Recall to Understand the Reflections of History Teachers
ERIC Educational Resources Information Center
Martinelle, Robert D.
2017-01-01
Calls for history teachers to adopt inquiry methods continue to go unabated in educational research and curricular initiatives. In recent years, there has been increased recognition of the important role teacher reflection plays in managing the uncertainty that accompanies such pedagogy in history classrooms. Accordingly, this dissertation was…
Suicides in Adolescents: Benefit/Harm Balance of Antidepressants
ERIC Educational Resources Information Center
Saz, Ulas Eylem; Arslan, Mehmet Tayyip; Egemen, Ayten
2007-01-01
Introduction: Depression is an important cause of suicide in adolescents. It has been speculated that antidepressants themselves can increase the risk of suicide. Method: Cases of adolescents admitted to the Ege University Pediatric Emergency Department in Turkey due to suicide attempt were assessed. Results: Nine of 13 suicide attempts during…
Teaching Information Systems Development via Process Variants
ERIC Educational Resources Information Center
Tan, Wee-Kek; Tan, Chuan-Hoo
2010-01-01
Acquiring the knowledge to assemble an integrated Information System (IS) development process that is tailored to the specific needs of a project has become increasingly important. It is therefore necessary for educators to impart to students this crucial skill. However, Situational Method Engineering (SME) is an inherently complex process that…
Visual Training for Sustainable Forest Management
ERIC Educational Resources Information Center
Aik, Chong-Tek; Tway, Duane C.
2004-01-01
It is increasingly important for timber companies to train managers in the principles and practices of sustainable forest management. One of the most effective ways to conduct such training is through use of visual training methods. This is partly because visual representations encode large amounts of information and help learners to grasp…
Teaching Competencies Efficiently through the Internet--A Practical Example
ERIC Educational Resources Information Center
Caniels, Marjolein C. J.
2005-01-01
Universities increasingly adopt innovative teaching models, which focus on the development of skills instead of the reproduction of knowledge. These new teaching models emphasise the importance of knowledge application and the development of competencies. Yet, using these teaching methods usually implies a high assessment burden for lecturers.…
Faculty Development on Online Instructional Methods: A Protocol for Counselor Educators
ERIC Educational Resources Information Center
Cicco, Gina
2013-01-01
This article will address the importance of properly training faculty members to teach online courses within graduate counseling programs. The number of online course offerings among graduate education programs is steadily increasing across colleges and universities. This trend is of particular interest for counselor educators because counseling…
A Cognitive Diagnosis Model for Continuous Response
ERIC Educational Resources Information Center
Minchen, Nathan D.; de la Torre, Jimmy; Liu, Ying
2017-01-01
Nondichotomous response models have been of greater interest in recent years due to the increasing use of different scoring methods and various performance measures. As an important alternative to dichotomous scoring, the use of continuous response formats has been found in the literature. To assess finer-grained skills or attributes and to…
Direct Instruction with Playful Skill Extensions: Action Research in Emergent Literacy Development
ERIC Educational Resources Information Center
Keaton, Jean M.; Palmer, Barbara C.; Nicholas, Karen R.; Lake, Vickie E.
2007-01-01
Direct instruction teaching methods have been found to promote the acquisition of literacy in developing readers. Equally important, learning strategies that allow children to construct knowledge through active participation increase their motivation for reading and writing. This action research was designed to explore the effectiveness of direct…
Be the Data: Embodied Visual Analytics
ERIC Educational Resources Information Center
Chen, Xin; Self, Jessica Zeitz; House, Leanna; Wenskovitch, John; Sun, Maoyuan; Wycoff, Nathan; Evia, Jane Robertson; Leman, Scotland; North, Chris
2018-01-01
With the rise of big data, it is becoming increasingly important to educate groups of students at many educational levels about data analytics. In particular, students without a strong mathematical background may have an unenthusiastic attitude towards high-dimensional data and find it challenging to understand relevant complex analytical methods,…
Health Literacy Predicts Cardiac Knowledge Gains in Cardiac Rehabilitation Participants
ERIC Educational Resources Information Center
Mattson, Colleen C.; Rawson, Katherine; Hughes, Joel W.; Waechter, Donna; Rosneck, James
2015-01-01
Objective: Health literacy is increasingly recognised as a potentially important patient characteristic related to patient education efforts. We evaluated whether health literacy would predict gains in knowledge after completion of patient education in cardiac rehabilitation. Method: This was a re-post observational analysis study design based on…
ERIC Educational Resources Information Center
Moehle, Matthew R.
2011-01-01
As teacher education programs further emphasize clinical experiences, the role of university student teaching supervisor becomes increasingly important, as does research on supervision practices. Practitioners and researchers in the fields of positive psychology, management, and teacher education have argued that mentors who employ characteristics…
Readability of Self-Report Measures of Depression and Anxiety
ERIC Educational Resources Information Center
McHugh, R. Kathryn; Behar, Evelyn
2009-01-01
As the demand for accountability in service provision settings increases, the need for valid methods for assessing clinical outcomes is of particular importance. Self-report measures of functioning are particularly useful in the assessment of psychological functioning, but a vital factor in their validity and transportability is the reading level…
ERIC Educational Resources Information Center
McCaslin, N. L.
Evaluation is important to public education and training programs if the United States is to be competitive in a global economy. Six major factors have had an impact on evaluation efforts: decreased financial resources, increased public dissatisfaction, changed management approaches, enhanced evaluation methods and procedures, redesigned…
Moreno-Vilet, Lorena; Bostyn, Stéphane; Flores-Montaño, Jose-Luis; Camacho-Ruiz, Rosa-María
2017-12-15
Agave fructans are increasingly important in food industry and nutrition sciences as a potential ingredient of functional food, thus practical analysis tools to characterize them are needed. In view of the importance of the molecular weight on the functional properties of agave fructans, this study has the purpose to optimize a method to determine their molecular weight distribution by HPLC-SEC for industrial application. The optimization was carried out using a simplex method. The optimum conditions obtained were at column temperature of 61.7°C using tri-distilled water without salt, adjusted pH of 5.4 and a flow rate of 0.36mL/min. The exclusion range is from 1 to 49 of polymerization degree (180-7966Da). This proposed method represents an accurate and fast alternative to standard methods involving multiple-detection or hydrolysis of fructans. The industrial applications of this technique might be for quality control, study of fractionation processes and determination of purity. Copyright © 2017 Elsevier Ltd. All rights reserved.
Ngamwonglumlert, Luxsika; Devahastin, Sakamon; Chiewchan, Naphaporn
2017-10-13
Natural colorants from plant-based materials have gained increasing popularity due to health consciousness of consumers. Among the many steps involved in the production of natural colorants, pigment extraction is one of the most important. Soxhlet extraction, maceration, and hydrodistillation are conventional methods that have been widely used in industry and laboratory for such a purpose. Recently, various non-conventional methods, such as supercritical fluid extraction, pressurized liquid extraction, microwave-assisted extraction, ultrasound-assisted extraction, pulsed-electric field extraction, and enzyme-assisted extraction have emerged as alternatives to conventional methods due to the advantages of the former in terms of smaller solvent consumption, shorter extraction time, and more environment-friendliness. Prior to the extraction step, pretreatment of plant materials to enhance the stability of natural pigments is another important step that must be carefully taken care of. In this paper, a comprehensive review of appropriate pretreatment and extraction methods for chlorophylls, carotenoids, betalains, and anthocyanins, which are major classes of plant pigments, is provided by using pigment stability and extraction yield as assessment criteria.
Secure software practices among Malaysian software practitioners: An exploratory study
NASA Astrophysics Data System (ADS)
Mohamed, Shafinah Farvin Packeer; Baharom, Fauziah; Deraman, Aziz; Yahya, Jamaiah; Mohd, Haslina
2016-08-01
Secure software practices is increasingly gaining much importance among software practitioners and researchers due to the rise of computer crimes in the software industry. It has become as one of the determinant factors for producing high quality software. Even though its importance has been revealed, its current practice in the software industry is still scarce, particularly in Malaysia. Thus, an exploratory study is conducted among software practitioners in Malaysia to study their experiences and practices in the real-world projects. This paper discusses the findings from the study, which involved 93 software practitioners. Structured questionnaire is utilized for data collection purpose whilst statistical methods such as frequency, mean, and cross tabulation are used for data analysis. Outcomes from this study reveal that software practitioners are becoming increasingly aware on the importance of secure software practices, however, they lack of appropriate implementation, which could affect the quality of produced software.
Methods to determine intestinal permeability and bacterial translocation during liver disease
Wang, Lirui; Llorente, Cristina; Hartmann, Phillipp; Yang, An-Ming; Chen, Peng; Schnabl, Bernd
2015-01-01
Liver disease is often times associated with increased intestinal permeability. A disruption of the gut barrier allows microbial products and viable bacteria to translocate from the intestinal lumen to extraintestinal organs. The majority of the venous blood from the intestinal tract is drained into the portal circulation, which is part of the dual hepatic blood supply. The liver is therefore the first organ in the body to encounter not only absorbed nutrients, but also gut-derived bacteria and pathogen associated molecular patterns (PAMPs). Chronic exposure to increased levels of PAMPs has been linked to disease progression during early stages and to infectious complications during late stages of liver disease (cirrhosis). It is therefore important to assess and monitor gut barrier dysfunction during hepatic disease. We review methods to assess intestinal barrier disruption and discuss advantages and disadvantages. We will in particular focus on methods that we have used to measure increased intestinal permeability and bacterial translocation during experimental liver disease models. PMID:25595554
Dynamics of spiral patterns in gas discharge detected by optical method
NASA Astrophysics Data System (ADS)
Yang, Fan; Wang, Mingyi; Liu, Shuhua
2016-09-01
The dynamics behavior of spiral patterns is investigated in gas discharge using optical method. Rich kinks of spiral patterns are obtained and the formation and evolution process is investigated. The process of pattern formation is breakdown -> hexagon -> bee comb-like -> strip -> spiral -> chaos. Spiral pattern always formed after the strip pattern. It is found that the temperature of the water electrodes plays an important role in the spiral patterns formation. When it exceeds 20°C no spiral has been obtained. The discharge current waveform and the emission spectrum of the discharge have been measured when the filaments self-organized in spiral pattern. Electron excited temperature of forming spiral pattern is calculated using intensity ratio method. It is found that the electron excited temperature of spiral pattern increase as the power supply frequency increased. Relation between wavelength and discharge parameter has been measured. It shows that the wavelength of spiral pattern increases as the discharge gap increases, and decreases as the air ratio mixed in argon increases. Accompanying measurements proved that the wavelength is approximately linear to the square root of the spiral rotating period .This work has useful reference value for studying pattern dynamics.
Nutritional ecology of ursids: A review of newer methods and management implications
Robbins, Charles T.; Schwartz, Charles C.; Felicetti, L.A.
2004-01-01
The capability to understand the nutritional ecology of free-ranging bears has increased dramatically in the last 20 years. Advancements have occurred because (1) managers and biologists recognized the need to link habitat quality, productivity, and variability with bear movements, home ranges, and demographic parameters like reproductive output, survival, and population growth, and (2) several research teams are using new methods to build on the results of earlier field studies. Our ability to couple new field methods and empirical field research with controlled experiments using captive bears has been central to our increased understanding of bear nutrition. Newer methods include the use of stable isotopes to quantify assimilated diet and nutrient flows within ecosystems, bioelectrical impedance to measure body composition, and naturally occurring mercury to estimate fish intake. Controlled experiments using captive bears have been integral to developing methods, isolating specific variables by controlling the environment, and providing additional nutritional understanding necessary to interpret field observations. We review new methods and apply our increased understanding of bear nutritional ecology to 3 management issues: (1) the importance of salmon (Oncorhynchus spp.) to brown bears (Ursus arctos) in the Pacific Northwest, (2) the consequences of the closure of the Yellowstone garbage dumps to grizzly bears, and (3) the relocation of problem bears.
The problem of estimating recent genetic connectivity in a changing world.
Samarasin, Pasan; Shuter, Brian J; Wright, Stephen I; Rodd, F Helen
2017-02-01
Accurate understanding of population connectivity is important to conservation because dispersal can play an important role in population dynamics, microevolution, and assessments of extirpation risk and population rescue. Genetic methods are increasingly used to infer population connectivity because advances in technology have made them more advantageous (e.g., cost effective) relative to ecological methods. Given the reductions in wildlife population connectivity since the Industrial Revolution and more recent drastic reductions from habitat loss, it is important to know the accuracy of and biases in genetic connectivity estimators when connectivity has declined recently. Using simulated data, we investigated the accuracy and bias of 2 common estimators of migration (movement of individuals among populations) rate. We focused on the timing of the connectivity change and the magnitude of that change on the estimates of migration by using a coalescent-based method (Migrate-n) and a disequilibrium-based method (BayesAss). Contrary to expectations, when historically high connectivity had declined recently: (i) both methods over-estimated recent migration rates; (ii) the coalescent-based method (Migrate-n) provided better estimates of recent migration rate than the disequilibrium-based method (BayesAss); (iii) the coalescent-based method did not accurately reflect long-term genetic connectivity. Overall, our results highlight the problems with comparing coalescent and disequilibrium estimates to make inferences about the effects of recent landscape change on genetic connectivity among populations. We found that contrasting these 2 estimates to make inferences about genetic-connectivity changes over time could lead to inaccurate conclusions. © 2016 Society for Conservation Biology.
Predictors of Nutrition Information Comprehension in Adulthood
Miller, Lisa M. Soederberg; Gibson, Tanja N.; Applegate, Elizabeth A.
2009-01-01
Objective The goal of the present study was to examine relationships among several predictors of nutrition comprehension. We were particularly interested in exploring whether nutrition knowledge or motivation moderated the effects of attention on comprehension across a wide age range of adults. Methods Ninety-three participants, ages 18 to 80, completed measures of nutrition knowledge and motivation and then read nutrition information (from which attention allocation was derived) and answered comprehension questions. Results In general, predictor variables were highly intercorrelated. However, knowledge, but not motivation, had direct effects on comprehension accuracy. In contrast, motivation influenced attention, which in turn influenced accuracy. Results also showed that comprehension accuracy decreased- and knowledge increased -with age. When knowledge was statistically controlled, age declines in comprehension increased. Conclusion Knowledge is an important predictor of nutrition information comprehension and its role increases in later life. Motivation is also important; however, its effects on comprehension differ from knowledge. Practice Implications Health educators and clinicians should consider cognitive skills such as knowledge as well as motivation and age of patients when deciding how to best convey health information. The increased role of knowledge among older adults suggests that lifelong educational efforts may have important payoffs in later life. PMID:19854605
Visualizing Phylogenetic Treespace Using Cartographic Projections
NASA Astrophysics Data System (ADS)
Sundberg, Kenneth; Clement, Mark; Snell, Quinn
Phylogenetic analysis is becoming an increasingly important tool for biological research. Applications include epidemiological studies, drug development, and evolutionary analysis. Phylogenetic search is a known NP-Hard problem. The size of the data sets which can be analyzed is limited by the exponential growth in the number of trees that must be considered as the problem size increases. A better understanding of the problem space could lead to better methods, which in turn could lead to the feasible analysis of more data sets. We present a definition of phylogenetic tree space and a visualization of this space that shows significant exploitable structure. This structure can be used to develop search methods capable of handling much larger datasets.
Paroxysmal atrial fibrillation prediction method with shorter HRV sequences.
Boon, K H; Khalil-Hani, M; Malarvili, M B; Sia, C W
2016-10-01
This paper proposes a method that predicts the onset of paroxysmal atrial fibrillation (PAF), using heart rate variability (HRV) segments that are shorter than those applied in existing methods, while maintaining good prediction accuracy. PAF is a common cardiac arrhythmia that increases the health risk of a patient, and the development of an accurate predictor of the onset of PAF is clinical important because it increases the possibility to stabilize (electrically) and prevent the onset of atrial arrhythmias with different pacing techniques. We investigate the effect of HRV features extracted from different lengths of HRV segments prior to PAF onset with the proposed PAF prediction method. The pre-processing stage of the predictor includes QRS detection, HRV quantification and ectopic beat correction. Time-domain, frequency-domain, non-linear and bispectrum features are then extracted from the quantified HRV. In the feature selection, the HRV feature set and classifier parameters are optimized simultaneously using an optimization procedure based on genetic algorithm (GA). Both full feature set and statistically significant feature subset are optimized by GA respectively. For the statistically significant feature subset, Mann-Whitney U test is used to filter non-statistical significance features that cannot pass the statistical test at 20% significant level. The final stage of our predictor is the classifier that is based on support vector machine (SVM). A 10-fold cross-validation is applied in performance evaluation, and the proposed method achieves 79.3% prediction accuracy using 15-minutes HRV segment. This accuracy is comparable to that achieved by existing methods that use 30-minutes HRV segments, most of which achieves accuracy of around 80%. More importantly, our method significantly outperforms those that applied segments shorter than 30 minutes. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.
Perceived Dual Method Responsibilities by Relationship Type Among African-American Male Adolescents.
Gilliam, Melissa; Woodhams, Elisabeth; Sipsma, Heather; Hill, Brandon
2017-03-01
To describe the extent to which African-American male adolescents perceive responsibility for contraception and condom use and to understand the perceived importance of dual method use for respondents in casual versus committed relationships. Data were collected using surveys informed by formative focus group sessions. Participants included African-American male high-school students aged 14-19 years from the Chicago's South Side. Respondents were surveyed regarding contraceptive behavioral intentions and perceived importance of dual method use. Responses were compared by relationship type. Logistic regression modeling was used to determine the association between contraception responsibility and perceiving dual method protection as important for each sexual relationship type. Sample included 348 young men (mean age: 16.1 years; mean age at first sex: 13.8 years). Among those who had heard of condoms (99.4%) and withdrawal (90.4%), most reported liking these methods (83.7% and 53.9%). Participants were more likely to report greater responsibility within a committed relationship for all perceived contraceptive responsibilities (e.g., going with partner to get contraception). Participants were more likely to engage in conversation about pregnancy prevention with a committed partner. Among sexually active respondents, perceived contraceptive responsibility was associated with perceiving dual protection as very important (odds ratio = 1.58; 95% confidence interval = 1.05-2.38). Respondents felt partially responsible for pregnancy prevention, particularly within committed relationships, and were open to using dual protection. However, many respondents had low levels of contraception knowledge. These findings indicate that male African-American adolescents might benefit from increased education and support around contraception methods and condom use. Copyright © 2016 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.
Exploiting the potential of vector control for disease prevention.
Townson, H; Nathan, M B; Zaim, M; Guillet, P; Manga, L; Bos, R; Kindhauser, M
2005-12-01
Although vector control has proven highly effective in preventing disease transmission, it is not being used to its full potential, thereby depriving disadvantaged populations of the benefits of well tried and tested methods. Following the discovery of synthetic residual insecticides in the 1940s, large-scale programmes succeeded in bringing many of the important vector-borne diseases under control. By the late 1960s, most vector-borne diseases--with the exception of malaria in Africa--were no longer considered to be of primary public health importance. The result was that control programmes lapsed, resources dwindled, and specialists in vector control disappeared from public health units. Within two decades, many important vector-borne diseases had re-emerged or spread to new areas. The time has come to restore vector control to its key role in the prevention of disease transmission, albeit with an increased emphasis on multiple measures, whether pesticide-based or involving environmental modification, and with a strengthened managerial and operational capacity. Integrated vector management provides a sound conceptual framework for deployment of cost-effective and sustainable methods of vector control. This approach allows for full consideration of the complex determinants of disease transmission, including local disease ecology, the role of human activity in increasing risks of disease transmission, and the socioeconomic conditions of affected communities.
Exploiting the potential of vector control for disease prevention.
Townson, H.; Nathan, M. B.; Zaim, M.; Guillet, P.; Manga, L.; Bos, R.; Kindhauser, M.
2005-01-01
Although vector control has proven highly effective in preventing disease transmission, it is not being used to its full potential, thereby depriving disadvantaged populations of the benefits of well tried and tested methods. Following the discovery of synthetic residual insecticides in the 1940s, large-scale programmes succeeded in bringing many of the important vector-borne diseases under control. By the late 1960s, most vector-borne diseases--with the exception of malaria in Africa--were no longer considered to be of primary public health importance. The result was that control programmes lapsed, resources dwindled, and specialists in vector control disappeared from public health units. Within two decades, many important vector-borne diseases had re-emerged or spread to new areas. The time has come to restore vector control to its key role in the prevention of disease transmission, albeit with an increased emphasis on multiple measures, whether pesticide-based or involving environmental modification, and with a strengthened managerial and operational capacity. Integrated vector management provides a sound conceptual framework for deployment of cost-effective and sustainable methods of vector control. This approach allows for full consideration of the complex determinants of disease transmission, including local disease ecology, the role of human activity in increasing risks of disease transmission, and the socioeconomic conditions of affected communities. PMID:16462987
Kepp, Kasper P
2015-10-01
Fast and accurate computation of protein stability is increasingly important for e.g. protein engineering and protein misfolding diseases, but no consensus methods exist for important proteins such as globins, and performance may depend on the type of structural input given. This paper reports benchmarking of six protein stability calculators (POPMUSIC 2.1, I-Mutant 2.0, I-Mutant 3.0, CUPSAT, SDM, and mCSM) against 134 experimental stability changes for mutations of sperm-whale myoglobin. Six different high-resolution structures were used to test structure sensitivity that may impair protein calculations. The trend accuracy of the methods decreased as I-Mutant 2.0 (R=0.64-0.65), SDM (R=0.57-0.60), POPMUSIC2.1 (R=0.54-0.57), I-Mutant 3.0 (R=0.53-0.55), mCSM (R=0.35-0.47), and CUPSAT (R=0.25-0.48). The mean signed errors increased as SDM
Fron Chabouis, Hélène; Chabouis, Francis; Gillaizeau, Florence; Durieux, Pierre; Chatellier, Gilles; Ruse, N Dorin; Attal, Jean-Pierre
2014-01-01
Operative clinical trials are often small and open-label. Randomization is therefore very important. Stratification and minimization are two randomization options in such trials. The first aim of this study was to compare stratification and minimization in terms of predictability and balance in order to help investigators choose the most appropriate allocation method. Our second aim was to evaluate the influence of various parameters on the performance of these techniques. The created software generated patients according to chosen trial parameters (e.g., number of important prognostic factors, number of operators or centers, etc.) and computed predictability and balance indicators for several stratification and minimization methods over a given number of simulations. Block size and proportion of random allocations could be chosen. A reference trial was chosen (50 patients, 1 prognostic factor, and 2 operators) and eight other trials derived from this reference trial were modeled. Predictability and balance indicators were calculated from 10,000 simulations per trial. Minimization performed better with complex trials (e.g., smaller sample size, increasing number of prognostic factors, and operators); stratification imbalance increased when the number of strata increased. An inverse correlation between imbalance and predictability was observed. A compromise between predictability and imbalance still has to be found by the investigator but our software (HERMES) gives concrete reasons for choosing between stratification and minimization; it can be downloaded free of charge. This software will help investigators choose the appropriate randomization method in future two-arm trials.
Maes, W H; Steppe, K
2012-08-01
As evaporation of water is an energy-demanding process, increasing evapotranspiration rates decrease the surface temperature (Ts) of leaves and plants. Based on this principle, ground-based thermal remote sensing has become one of the most important methods for estimating evapotranspiration and drought stress and for irrigation. This paper reviews its application in agriculture. The review consists of four parts. First, the basics of thermal remote sensing are briefly reviewed. Second, the theoretical relation between Ts and the sensible and latent heat flux is elaborated. A modelling approach was used to evaluate the effect of weather conditions and leaf or vegetation properties on leaf and canopy temperature. Ts increases with increasing air temperature and incoming radiation and with decreasing wind speed and relative humidity. At the leaf level, the leaf angle and leaf dimension have a large influence on Ts; at the vegetation level, Ts is strongly impacted by the roughness length; hence, by canopy height and structure. In the third part, an overview of the different ground-based thermal remote sensing techniques and approaches used to estimate drought stress or evapotranspiration in agriculture is provided. Among other methods, stress time, stress degree day, crop water stress index (CWSI), and stomatal conductance index are discussed. The theoretical models are used to evaluate the performance and sensitivity of the most important methods, corroborating the literature data. In the fourth and final part, a critical view on the future and remaining challenges of ground-based thermal remote sensing is presented.
Lopez-Martin, Manuel; Carro, Belen; Sanchez-Esguevillas, Antonio; Lloret, Jaime
2017-08-26
The purpose of a Network Intrusion Detection System is to detect intrusive, malicious activities or policy violations in a host or host's network. In current networks, such systems are becoming more important as the number and variety of attacks increase along with the volume and sensitiveness of the information exchanged. This is of particular interest to Internet of Things networks, where an intrusion detection system will be critical as its economic importance continues to grow, making it the focus of future intrusion attacks. In this work, we propose a new network intrusion detection method that is appropriate for an Internet of Things network. The proposed method is based on a conditional variational autoencoder with a specific architecture that integrates the intrusion labels inside the decoder layers. The proposed method is less complex than other unsupervised methods based on a variational autoencoder and it provides better classification results than other familiar classifiers. More important, the method can perform feature reconstruction, that is, it is able to recover missing features from incomplete training datasets. We demonstrate that the reconstruction accuracy is very high, even for categorical features with a high number of distinct values. This work is unique in the network intrusion detection field, presenting the first application of a conditional variational autoencoder and providing the first algorithm to perform feature recovery.
Carro, Belen; Sanchez-Esguevillas, Antonio
2017-01-01
The purpose of a Network Intrusion Detection System is to detect intrusive, malicious activities or policy violations in a host or host’s network. In current networks, such systems are becoming more important as the number and variety of attacks increase along with the volume and sensitiveness of the information exchanged. This is of particular interest to Internet of Things networks, where an intrusion detection system will be critical as its economic importance continues to grow, making it the focus of future intrusion attacks. In this work, we propose a new network intrusion detection method that is appropriate for an Internet of Things network. The proposed method is based on a conditional variational autoencoder with a specific architecture that integrates the intrusion labels inside the decoder layers. The proposed method is less complex than other unsupervised methods based on a variational autoencoder and it provides better classification results than other familiar classifiers. More important, the method can perform feature reconstruction, that is, it is able to recover missing features from incomplete training datasets. We demonstrate that the reconstruction accuracy is very high, even for categorical features with a high number of distinct values. This work is unique in the network intrusion detection field, presenting the first application of a conditional variational autoencoder and providing the first algorithm to perform feature recovery. PMID:28846608
ERIC Educational Resources Information Center
Andewelt, Roger B.
The recent increased awareness of the importance to our economy of innovation and the development of new technologies has been coupled with the crafting of new legislation to increase the level of intellectual property protection available to innovators. Because one of the key methods of encouraging the efficient use of intellectual property is…
Trends in technology, trade and consumption likely to impact on microbial food safety.
Quested, T E; Cook, P E; Gorris, L G M; Cole, M B
2010-05-30
Current and potential future trends in technology, consumption and trade of food that may impact on food-borne disease are analysed and the key driving factors identified focusing on the European Union and, to a lesser extent, accounting for the United States and global issues. Understanding of factors is developed using system-based methods and their impact is discussed in relation to current events and predictions of future trends. These factors come from a wide range of spheres relevant to food and include political, economic, social, technological, regulatory and environmental drivers. The degree of certainty in assessing the impact of important driving factors is considered in relation to food-borne disease. The most important factors driving an increase in the burden of food-borne disease in the next few decades were found to be the anticipated doubling of the global demand for food and of the international trade in food next to a significantly increased consumption of certain high-value food commodities such as meat and poultry and fresh produce. A less important factor potentially increasing the food-borne disease burden would be the increased demand for convenience foods. Factors that may contribute to a reduction in the food-borne disease burden were identified as the ability of governments around the world to take effective regulatory measures as well as the development and use of new food safety technologies and detection methods. The most important factor in reducing the burden of food-borne disease was identified as our ability to first detect and investigate a food safety issue and then to develop effective control measures. Given the global scale of impact on food safety that current and potentially future trends have, either by potentially increasing or decreasing the food-borne disease burden, it is concluded that a key role is fulfilled by intergovernmental organisations and by international standard setting bodies in coordinating the establishment and rolling-out of effective measures that, on balance, help ensure long-term consumer protection and fair international trade. Copyright 2010 Elsevier B.V. All rights reserved.
Biosensors for rapid and sensitive detection of Staphylococcus aureus in food.
Rubab, Momna; Shahbaz, Hafiz Muhammad; Olaimat, Amin N; Oh, Deog-Hwan
2018-05-15
Foodborne illness outbreaks caused by the consumption of food contaminated with harmful bacteria has drastically increased in the past decades. Therefore, detection of harmful bacteria in the food has become an important factor for the recognition and prevention of problems associated with food safety and public health. Staphylococcus aureus is one of the most commonly isolated foodborne pathogen and it is considered as a major cause of foodborne illnesses worldwide. A number of different methods have been developed for the detection and identification of S. aureus in food samples. However, some of these methods are laborious and time-consuming and are not suitable for on-site applications. Therefore, it is highly important to develop rapid and more approachable detection methods. In the last decade, biosensors have gained popularity as an attractive alternative method and now considered as one of most rapid and on-site applicable methods. An overview of the biosensor based methods used for the detection of S. aureus is presented herein. This review focuses on the state-of-the-art biosensor methods towards the detection and quantification of S. aureus, and discusses the most commonly used biosensor methods based on the transducing mode, such as electrochemical, optical, and mass-based biosensors. Copyright © 2018 Elsevier B.V. All rights reserved.
Gaym, Asheber
2012-10-01
Voluntary surgical contraception is the most widely utilized method of contraception in the world. High effectiveness, low complication rates and reduced cost in the long term make them the ideal contraceptive choice to diverse group of clients including clients from low resource settings. To assess the current status of utilization and effectiveness of voluntary surgical contraception in Africa and suggest possible future roles in contraceptive method choice. A review of available literature on voluntary surgical contraception and synthesis of information under relevant headings. Despite very high total fertility rates in most countries of Africa, surgical contraceptives still contribute to a very small proportion ofcontraceptive method choice in the continent. Client profile and acceptability studies indicate a large unmet need for permanent contraception in the continent. Lack of information, misconceptions and weak health systems (particularly surgical care) are the major impediments to increasing availability of surgical contraception. Lack of knowledge and low levels of motivation among health care providers may also be significant barriers to access. Ihcreasing availability of information on the safety and effectiveness of these methods to both health care providers and the general population can increase demand and acceptability. Delegating service provision to appropriately trained non-physician providers at primary care settings can assist in increasing accessibility of these important family planning methods.
Ulutas, Murat; Cinar, Kadir; Secer, Mehmet
2015-07-01
Delivery of hydatid cysts, especially large ones, without rupture is very important and there is still no 100% successful method. After the hydatid cyst was reached, starting near the surface working around the cyst toward the base, a Foley probe was advanced and, in the region of desired dissection, the balloon of the Foley probe was inflated, and adhesion bands were freed to allow dissection. We believe our balloon-aided dissection technique is a method that increases the chances of delivering hydatid cysts, with no calcification and secondary infection, without rupture.
Mapping the Carbon Footprint of Nations.
Kanemoto, Keiichiro; Moran, Daniel; Hertwich, Edgar G
2016-10-04
Life cycle thinking asks companies and consumers to take responsibility for emissions along their entire supply chain. As the world economy becomes more complex it is increasingly difficult to connect consumers and other downstream users to the origins of their greenhouse gas (GHG) emissions. Given the important role of subnational entities-cities, states, and companies-in GHG abatement efforts, it would be advantageous to better link downstream users to facilities and regulators who control primary emissions. We present a new spatially explicit carbon footprint method for establishing such connections. We find that for most developed countries the carbon footprint has diluted and spread: for example, since 1970 the U.S. carbon footprint has grown 23% territorially, and 38% in consumption-based terms, but nearly 200% in spatial extent (i.e., the minimum area needed to contain 90% of emissions). The rapidly growing carbon footprints of China and India, however, do not show such a spatial expansion of their consumption footprints in spite of their increasing participation in the world economy. In their case, urbanization concentrates domestic pollution and this offsets the increasing importance of imports.
Rodrigues, João Fabrício Mota; Coelho, Marco Túlio Pacheco
2016-01-01
Sampling the biodiversity is an essential step for conservation, and understanding the efficiency of sampling methods allows us to estimate the quality of our biodiversity data. Sex ratio is an important population characteristic, but until now, no study has evaluated how efficient are the sampling methods commonly used in biodiversity surveys in estimating the sex ratio of populations. We used a virtual ecologist approach to investigate whether active and passive capture methods are able to accurately sample a population's sex ratio and whether differences in movement pattern and detectability between males and females produce biased estimates of sex-ratios when using these methods. Our simulation allowed the recognition of individuals, similar to mark-recapture studies. We found that differences in both movement patterns and detectability between males and females produce biased estimates of sex ratios. However, increasing the sampling effort or the number of sampling days improves the ability of passive or active capture methods to properly sample sex ratio. Thus, prior knowledge regarding movement patterns and detectability for species is important information to guide field studies aiming to understand sex ratio related patterns.
Rodrigues, João Fabrício Mota; Coelho, Marco Túlio Pacheco
2016-01-01
Sampling the biodiversity is an essential step for conservation, and understanding the efficiency of sampling methods allows us to estimate the quality of our biodiversity data. Sex ratio is an important population characteristic, but until now, no study has evaluated how efficient are the sampling methods commonly used in biodiversity surveys in estimating the sex ratio of populations. We used a virtual ecologist approach to investigate whether active and passive capture methods are able to accurately sample a population’s sex ratio and whether differences in movement pattern and detectability between males and females produce biased estimates of sex-ratios when using these methods. Our simulation allowed the recognition of individuals, similar to mark-recapture studies. We found that differences in both movement patterns and detectability between males and females produce biased estimates of sex ratios. However, increasing the sampling effort or the number of sampling days improves the ability of passive or active capture methods to properly sample sex ratio. Thus, prior knowledge regarding movement patterns and detectability for species is important information to guide field studies aiming to understand sex ratio related patterns. PMID:27441554
Categorizing document by fuzzy C-Means and K-nearest neighbors approach
NASA Astrophysics Data System (ADS)
Priandini, Novita; Zaman, Badrus; Purwanti, Endah
2017-08-01
Increasing of technology had made categorizing documents become important. It caused by increasing of number of documents itself. Managing some documents by categorizing is one of Information Retrieval application, because it involve text mining on its process. Whereas, categorization technique could be done both Fuzzy C-Means (FCM) and K-Nearest Neighbors (KNN) method. This experiment would consolidate both methods. The aim of the experiment is increasing performance of document categorize. First, FCM is in order to clustering training documents. Second, KNN is in order to categorize testing document until the output of categorization is shown. Result of the experiment is 14 testing documents retrieve relevantly to its category. Meanwhile 6 of 20 testing documents retrieve irrelevant to its category. Result of system evaluation shows that both precision and recall are 0,7.
Countertransference. Its continued importance in psychiatric education
Rao, Nyapati R.; Meinzer, Arthur E.; Berman, Sheldon S.
1997-01-01
Psychotherapy is likely to play a minor or nonexistent role in the future general psychiatrist's training and practice. However, the component skills of recognition and management of the countertransference will remain important. Because psychotherapy training and supervision have been the venues for countertransference learning, the field is in danger of losing its teaching laboratory and hence losing these skills. The authors examine the concept of countertransference and discuss its importance in four increasingly significant areas: managed care, psychopharmacological treatment, emergency intervention, and the management of professional boundaries regarding sexual misconduct. Methods are discussed for enhancing residents' countertransference skills through supervision, training groups, and the resident's personal psychotherapy. PMID:9058556
Jensen, Jacob S; Egebo, Max; Meyer, Anne S
2008-05-28
Accomplishment of fast tannin measurements is receiving increased interest as tannins are important for the mouthfeel and color properties of red wines. Fourier transform mid-infrared spectroscopy allows fast measurement of different wine components, but quantification of tannins is difficult due to interferences from spectral responses of other wine components. Four different variable selection tools were investigated for the identification of the most important spectral regions which would allow quantification of tannins from the spectra using partial least-squares regression. The study included the development of a new variable selection tool, iterative backward elimination of changeable size intervals PLS. The spectral regions identified by the different variable selection methods were not identical, but all included two regions (1485-1425 and 1060-995 cm(-1)), which therefore were concluded to be particularly important for tannin quantification. The spectral regions identified from the variable selection methods were used to develop calibration models. All four variable selection methods identified regions that allowed an improved quantitative prediction of tannins (RMSEP = 69-79 mg of CE/L; r = 0.93-0.94) as compared to a calibration model developed using all variables (RMSEP = 115 mg of CE/L; r = 0.87). Only minor differences in the performance of the variable selection methods were observed.
NASA Astrophysics Data System (ADS)
Mohammadimanesh, F.; Salehi, B.; Mahdianpari, M.; Homayouni, S.
2016-06-01
Polarimetric Synthetic Aperture Radar (PolSAR) imagery is a complex multi-dimensional dataset, which is an important source of information for various natural resources and environmental classification and monitoring applications. PolSAR imagery produces valuable information by observing scattering mechanisms from different natural and man-made objects. Land cover mapping using PolSAR data classification is one of the most important applications of SAR remote sensing earth observations, which have gained increasing attention in the recent years. However, one of the most challenging aspects of classification is selecting features with maximum discrimination capability. To address this challenge, a statistical approach based on the Fisher Linear Discriminant Analysis (FLDA) and the incorporation of physical interpretation of PolSAR data into classification is proposed in this paper. After pre-processing of PolSAR data, including the speckle reduction, the H/α classification is used in order to classify the basic scattering mechanisms. Then, a new method for feature weighting, based on the fusion of FLDA and physical interpretation, is implemented. This method proves to increase the classification accuracy as well as increasing between-class discrimination in the final Wishart classification. The proposed method was applied to a full polarimetric C-band RADARSAT-2 data set from Avalon area, Newfoundland and Labrador, Canada. This imagery has been acquired in June 2015, and covers various types of wetlands including bogs, fens, marshes and shallow water. The results were compared with the standard Wishart classification, and an improvement of about 20% was achieved in the overall accuracy. This method provides an opportunity for operational wetland classification in northern latitude with high accuracy using only SAR polarimetric data.
Decomposition of the drivers of the U.S. hospital spending growth, 2001–2009
2014-01-01
Background United States health care spending rose rapidly in the 2000s, after a period of temporary slowdown in the 1990s. However, the description of the overall trend and the understanding of the underlying drivers of this trend are very limited. This study investigates how well historical hospital cost/revenue drivers explain the recent hospital spending trend in the 2000s, and how important each of these drivers is. Methods We used aggregated time series data to describe the trend in total hospital spending, price, and quantity between 2001 and 2009. We used the Oaxaca-Blinder method to investigate the relative importance of major hospital cost/spending drivers (derived from the literature) in explaining the change in hospital spending patterns between 2001 and 2007. We assembled data from Medicare Cost Reports, American Hospital Association annual surveys, Prospective Payment System (PPS) Impact Files, Medicare Provider Analysis and Review (MedPAR) Medicare claims data, InterStudy reports, National Health Expenditure data, and Area Resource Files. Results Aggregated time series trends show that high hospital spending between 2001 and 2009 appears to be driven by higher payment per unit of hospital output, not by increased utilization. Results using the Oaxaca-Blinder regression decomposition method indicate that changes in historically important spending drivers explain a limited 30% of unit-payment growth, but a higher 60% of utilization growth. Hospital staffing and labor-related costs, casemix, and demographics are the most important drivers of higher hospital revenue, utilization, and unit-payment. Technology is associated with lower utilization, higher unit payment, and limited increases in total revenue. Market competition, primarily because of increased managed care concentration, moderates total revenue growth by driving lower unit payment. Conclusions Much of the rapidly rising hospital spending growth in the 2000s in the United States is driven by factors not commonly known or well measured. Future studies need to explore new factors and dynamics that drive longer-term hospital spending growth in recent years, particularly through the channel of higher prices. PMID:24886580
NASA Astrophysics Data System (ADS)
Chaljub, E. O.; Bard, P.; Tsuno, S.; Kristek, J.; Moczo, P.; Franek, P.; Hollender, F.; Manakou, M.; Raptakis, D.; Pitilakis, K.
2009-12-01
During the last decades, an important effort has been dedicated to develop accurate and computationally efficient numerical methods to predict earthquake ground motion in heterogeneous 3D media. The progress in methods and increasing capability of computers have made it technically feasible to calculate realistic seismograms for frequencies of interest in seismic design applications. In order to foster the use of numerical simulation in practical prediction, it is important to (1) evaluate the accuracy of current numerical methods when applied to realistic 3D applications where no reference solution exists (verification) and (2) quantify the agreement between recorded and numerically simulated earthquake ground motion (validation). Here we report the results of the Euroseistest verification and validation project - an ongoing international collaborative work organized jointly by the Aristotle University of Thessaloniki, Greece, the Cashima research project (supported by the French nuclear agency, CEA, and the Laue-Langevin institute, ILL, Grenoble), and the Joseph Fourier University, Grenoble, France. The project involves more than 10 international teams from Europe, Japan and USA. The teams employ the Finite Difference Method (FDM), the Finite Element Method (FEM), the Global Pseudospectral Method (GPSM), the Spectral Element Method (SEM) and the Discrete Element Method (DEM). The project makes use of a new detailed 3D model of the Mygdonian basin (about 5 km wide, 15 km long, sediments reach about 400 m depth, surface S-wave velocity is 200 m/s). The prime target is to simulate 8 local earthquakes with magnitude from 3 to 5. In the verification, numerical predictions for frequencies up to 4 Hz for a series of models with increasing structural and rheological complexity are analyzed and compared using quantitative time-frequency goodness-of-fit criteria. Predictions obtained by one FDM team and the SEM team are close and different from other predictions (consistent with the ESG2006 exercise which targeted the Grenoble Valley). Diffractions off the basin edges and induced surface-wave propagation mainly contribute to differences between predictions. The differences are particularly large in the elastic models but remain important also in models with attenuation. In the validation, predictions are compared with the recordings by a local array of 19 surface and borehole accelerometers. The level of agreement is found event-dependent. For the largest-magnitude event the agreement is surprisingly good even at high frequencies.
Volberg, Gregor; Goldhacker, Markus; Hanslmayr, Simon
2016-01-01
Abstract The method of loci is one, if not the most, efficient mnemonic encoding strategy. This spatial mnemonic combines the core cognitive processes commonly linked to medial temporal lobe (MTL) activity: spatial and associative memory processes. During such processes, fMRI studies consistently demonstrate MTL activity, while electrophysiological studies have emphasized the important role of theta oscillations (3–8 Hz) in the MTL. However, it is still unknown whether increases or decreases in theta power co-occur with increased BOLD signal in the MTL during memory encoding. To investigate this question, we recorded EEG and fMRI separately, while human participants used the spatial method of loci or the pegword method, a similarly associative but nonspatial mnemonic. The more effective spatial mnemonic induced a pronounced theta power decrease source localized to the left MTL compared with the nonspatial associative mnemonic strategy. This effect was mirrored by BOLD signal increases in the MTL. Successful encoding, irrespective of the strategy used, elicited decreases in left temporal theta power and increases in MTL BOLD activity. This pattern of results suggests a negative relationship between theta power and BOLD signal changes in the MTL during memory encoding and spatial processing. The findings extend the well known negative relation of alpha/beta oscillations and BOLD signals in the cortex to theta oscillations in the MTL. PMID:28101523
Jiryaee, Nasrin; Siadat, Zahra Dana; Zamani, Ahmadreza; Taleban, Roya
2015-10-01
Designing an intervention to increase physical activity is important to be based on the health care settings resources and be acceptable by the subject group. This study was designed to assess and compare the effect of the goal setting strategy with a group education method on increasing the physical activity of mothers of children aged 1 to 5. Mothers who had at least one child of 1-5 years were randomized into two groups. The effect of 1) goal-setting strategy and 2) group education method on increasing physical activity was assessed and compared 1 month and 3 months after the intervention. Also, the weight, height, body mass index (BMI), waist and hip circumference, and well-being were compared between the two groups before and after the intervention. Physical activity level increased significantly after the intervention in the goal-setting group and it was significantly different between the two groups after intervention (P < 0.05). BMI, waist circumference, hip circumference, and well-being score were significantly different in the goal-setting group after the intervention. In the group education method, only the well-being score improved significantly (P < 0.05). Our study presented the effects of using the goal-setting strategy to boost physical activity, improving the state of well-being and decreasing BMI, waist, and hip circumference.
Committee Opinion No 707: Access to Emergency Contraception.
2017-07-01
Emergency contraception refers to contraceptive methods used to prevent pregnancy in the first few days after unprotected intercourse, sexual assault, or contraceptive failure. Although the U.S. Food and Drug Administration approved the first dedicated product for emergency contraception in 1998, numerous barriers to emergency contraception remain. The purpose of this Committee Opinion is to examine barriers to the use of emergency contraception, emphasize the importance of increasing access, and review new methods of emergency contraception and limitations in efficacy in special populations.
Committee Opinion No. 707 Summary: Access to Emergency Contraception.
2017-07-01
Emergency contraception refers to contraceptive methods used to prevent pregnancy in the first few days after unprotected intercourse, sexual assault, or contraceptive failure. Although the U.S. Food and Drug Administration approved the first dedicated product for emergency contraception in 1998, numerous barriers to emergency contraception remain. The purpose of this Committee Opinion is to examine barriers to the use of emergency contraception, emphasize the importance of increasing access, and review new methods of emergency contraception and limitations in efficacy in special populations.
Recurrent fuzzy ranking methods
NASA Astrophysics Data System (ADS)
Hajjari, Tayebeh
2012-11-01
With the increasing development of fuzzy set theory in various scientific fields and the need to compare fuzzy numbers in different areas. Therefore, Ranking of fuzzy numbers plays a very important role in linguistic decision-making, engineering, business and some other fuzzy application systems. Several strategies have been proposed for ranking of fuzzy numbers. Each of these techniques has been shown to produce non-intuitive results in certain case. In this paper, we reviewed some recent ranking methods, which will be useful for the researchers who are interested in this area.
Advanced MRI Methods for Assessment of Chronic Liver Disease
Taouli, Bachir; Ehman, Richard L.; Reeder, Scott B.
2010-01-01
MRI plays an increasingly important role for assessment of patients with chronic liver disease. MRI has numerous advantages, including lack of ionizing radiation and the possibility of performing multiparametric imaging. With recent advances in technology, advanced MRI methods such as diffusion-, perfusion-weighted MRI, MR elastography, chemical shift based fat-water separation and MR spectroscopy can now be applied to liver imaging. We will review the respective roles of these techniques for assessment of chronic liver disease. PMID:19542391
A Principled Approach to the Specification of System Architectures for Space Missions
NASA Technical Reports Server (NTRS)
McKelvin, Mark L. Jr.; Castillo, Robert; Bonanne, Kevin; Bonnici, Michael; Cox, Brian; Gibson, Corrina; Leon, Juan P.; Gomez-Mustafa, Jose; Jimenez, Alejandro; Madni, Azad
2015-01-01
Modern space systems are increasing in complexity and scale at an unprecedented pace. Consequently, innovative methods, processes, and tools are needed to cope with the increasing complexity of architecting these systems. A key systems challenge in practice is the ability to scale processes, methods, and tools used to architect complex space systems. Traditionally, the process for specifying space system architectures has largely relied on capturing the system architecture in informal descriptions that are often embedded within loosely coupled design documents and domain expertise. Such informal descriptions often lead to misunderstandings between design teams, ambiguous specifications, difficulty in maintaining consistency as the architecture evolves throughout the system development life cycle, and costly design iterations. Therefore, traditional methods are becoming increasingly inefficient to cope with ever-increasing system complexity. We apply the principles of component-based design and platform-based design to the development of the system architecture for a practical space system to demonstrate feasibility of our approach using SysML. Our results show that we are able to apply a systematic design method to manage system complexity, thus enabling effective data management, semantic coherence and traceability across different levels of abstraction in the design chain. Just as important, our approach enables interoperability among heterogeneous tools in a concurrent engineering model based design environment.
Scheduling and Pricing for Expected Ramp Capability in Real-Time Power Markets
DOE Office of Scientific and Technical Information (OSTI.GOV)
Ela, Erik; O'Malley, Mark
2016-05-01
Higher variable renewable generation penetrations are occurring throughout the world on different power systems. These resources increase the variability and uncertainty on the system which must be accommodated by an increase in the flexibility of the system resources in order to maintain reliability. Many scheduling strategies have been discussed and introduced to ensure that this flexibility is available at multiple timescales. To meet variability, that is, the expected changes in system conditions, two recent strategies have been introduced: time-coupled multi-period market clearing models and the incorporation of ramp capability constraints. To appropriately evaluate these methods, it is important to assessmore » both efficiency and reliability. But it is also important to assess the incentive structure to ensure that resources asked to perform in different ways have the proper incentives to follow these directions, which is a step often ignored in simulation studies. We find that there are advantages and disadvantages to both approaches. We also find that look-ahead horizon length in multi-period market models can impact incentives. This paper proposes scheduling and pricing methods that ensure expected ramps are met reliably, efficiently, and with associated prices based on true marginal costs that incentivize resources to do as directed by the market. Case studies show improvements of the new method.« less
Comparison of Predicted and Measured Attenuation of Turbine Noise from a Static Engine Test
NASA Technical Reports Server (NTRS)
Chien, Eugene W.; Ruiz, Marta; Yu, Jia; Morin, Bruce L.; Cicon, Dennis; Schwieger, Paul S.; Nark, Douglas M.
2007-01-01
Aircraft noise has become an increasing concern for commercial airlines. Worldwide demand for quieter aircraft is increasing, making the prediction of engine noise suppression one of the most important fields of research. The Low-Pressure Turbine (LPT) can be an important noise source during the approach condition for commercial aircraft. The National Aeronautics and Space Administration (NASA), Pratt & Whitney (P&W), and Goodrich Aerostructures (Goodrich) conducted a joint program to validate a method for predicting turbine noise attenuation. The method includes noise-source estimation, acoustic treatment impedance prediction, and in-duct noise propagation analysis. Two noise propagation prediction codes, Eversman Finite Element Method (FEM) code [1] and the CDUCT-LaRC [2] code, were used in this study to compare the predicted and the measured turbine noise attenuation from a static engine test. In this paper, the test setup, test configurations and test results are detailed in Section II. A description of the input parameters, including estimated noise modal content (in terms of acoustic potential), and acoustic treatment impedance values are provided in Section III. The prediction-to-test correlation study results are illustrated and discussed in Section IV and V for the FEM and the CDUCT-LaRC codes, respectively, and a summary of the results is presented in Section VI.
[Value-based medicine in ophthalmology].
Hirneiss, C; Neubauer, A S; Tribus, C; Kampik, A
2006-06-01
Value-based medicine (VBM) unifies costs and patient-perceived value (improvement in quality of life, length of life, or both) of an intervention. Value-based ophthalmology is of increasing importance for decisions in eye care. The methods of VBM are explained and definitions for a specific terminology in this field are given. The cost-utility analysis as part of health care economic analyses is explained. VBM exceeds evidence-based medicine by incorporating parameters of cost and benefits from an ophthalmological intervention. The benefit of the intervention is defined as an increase or maintenance of visual quality of life and can be determined by utility analysis. The time trade-off method is valid and reliable for utility analysis. The resources expended for the value gained in VBM are measured with cost-utility analysis in terms of cost per quality-adjusted life years gained (euros/QALY). Numerous cost-utility analyses of different ophthalmological interventions have been published. The fundamental instrument of VBM is cost-utility analysis. The results in cost per QALY allow estimation of cost effectiveness of an ophthalmological intervention. Using the time trade-off method for utility analysis allows the comparison of ophthalmological cost-utility analyses with those of other medical interventions. VBM is important for individual medical decision making and for general health care.
Phase transition of Surprise optimization in community detection
NASA Astrophysics Data System (ADS)
Xiang, Ju; Tang, Yan-Ni; Gao, Yuan-Yuan; Liu, Lang; Hao, Yi; Li, Jian-Ming; Zhang, Yan; Chen, Shi
2018-02-01
Community detection is one of important issues in the research of complex networks. In literatures, many methods have been proposed to detect community structures in the networks, while they also have the scope of application themselves. In this paper, we investigate an important measure for community detection, Surprise (Aldecoa and Marín, Sci. Rep. 3 (2013) 1060), by focusing on the critical points in the merging and splitting of communities. We firstly analyze the critical behavior of Surprise and give the phase diagrams in community-partition transition. The results show that the critical number of communities for Surprise has a super-exponential increase with the increase of the link-density difference, while it is close to that of Modularity for small difference between inter- and intra-community link densities. By directly optimizing Surprise, we experimentally test the results on various networks, following a series of comparisons with other classical methods, and further find that the heterogeneity of networks could quicken the splitting of communities. On the whole, the results show that Surprise tends to split communities due to various reasons such as the heterogeneity in link density, degree and community size, and it thus exhibits higher resolution than other methods, e.g., Modularity, in community detection. Finally, we provide several approaches for enhancing Surprise.
Bass, Sarah Bauerle; Gordon, Thomas F.; Ruzek, Sheryl Burt; Wolak, Caitlin; Ruggieri, Dominique; Mora, Gabriella; Rovito, Michael J.; Britto, Johnson; Parameswaran, Lalitha; Abedin, Zainab; Ward, Stephanie; Paranjape, Anuradha; Lin, Karen; Meyer, Brian; Pitts, Khaliah
2017-01-01
African Americans have higher colorectal cancer (CRC) mortality than White Americans and yet have lower rates of CRC screening. Increased screening aids in early detection and higher survival rates. Coupled with low literacy rates, the burden of CRC morbidity and mortality is exacerbated in this population, making it important to develop culturally and literacy appropriate aids to help low-literacy African Americans make informed decisions about CRC screening. This article outlines the development of a low-literacy computer touch-screen colonoscopy decision aid using an innovative marketing method called perceptual mapping and message vector modeling. This method was used to mathematically model key messages for the decision aid, which were then used to modify an existing CRC screening tutorial with different messages. The final tutorial was delivered through computer touch-screen technology to increase access and ease of use for participants. Testing showed users were not only more comfortable with the touch-screen technology but were also significantly more willing to have a colonoscopy compared with a “usual care group.” Results confirm the importance of including participants in planning and that the use of these innovative mapping and message design methods can lead to significant CRC screening attitude change. PMID:23132838
Zurek, Eva; Grochala, Wojciech
2014-11-27
Experimental studies of compressed matter are now routinely conducted at pressures exceeding 1 mln atm (100 GPa) and occasionally they even surpass 10 mln atm (1 TPa). The structure and properties of solids that have been so significantly squeezed differ considerably from those know at ambient pressures (1 atm), often times leading to new and unexpected physics. Chemical reactivity is also substantially altered in the extreme pressure regime. In this feature paper we describe how synergy between theory and experiment can pave the road towards new experimental discoveries. Because chemical rules-of-thumb established at 1 atm often fail to predict themore » structures of solids under high pressure, automated crystal structure prediction (CSP) methods have been increasingly employed. After outlining the most important CSP techniques, we showcase a few examples from the recent literature that exemplify just how useful theory can be as an aid in the interpretation of experimental data, describe exciting theoretical predictions that are guiding experiment, and discuss when the computational methods that are currently routinely employed fail. Lastly, we forecast important problems that will be targeted by theory as theoretical methods undergo rapid development, along with the simultaneous increase of computational power.« less
Giang, Kim Bao; Chung, Le Hong; Minh, Hoang Van; Kien, Vu Duy; Giap, Vu Van; Hinh, Nguyen Duc; Cuong, Nguyen Manh; Manh, Pham Duc; Duc, Ha Anh; Yang, Jui-Chen
2016-01-01
Graphic health warnings (GHW) on tobacco packages have proven to be effective in increasing quit attempts among smokers and reducing initial smoking among adolescents. This research aimed to examine the relative importance of different attributes of graphic health warnings on tobacco packages in Viet Nam. A discrete choice experimental (DCE) design was applied with a conditional logit model. In addition, a ranking method was used to list from the least to the most dreadful GHW labels. With the results from DCE model, graphic type was shown to be the most important attribute, followed by cost and coverage area of GHW. The least important attribute was position of the GHW. Among 5 graphic types (internal lung cancer image, external damaged teeth, abstract image, human suffering image and text), the image of lung cancer was found to have the strongest influence on both smokers and non-smokers. With ranking method, the image of throat cancer and heart diseases were considered the most dreadful images. GHWs should be designed with these attributes in mind, to maximise influence on purchase among both smokers and non-smokers.
Learning to recognize rat social behavior: Novel dataset and cross-dataset application.
Lorbach, Malte; Kyriakou, Elisavet I; Poppe, Ronald; van Dam, Elsbeth A; Noldus, Lucas P J J; Veltkamp, Remco C
2018-04-15
Social behavior is an important aspect of rodent models. Automated measuring tools that make use of video analysis and machine learning are an increasingly attractive alternative to manual annotation. Because machine learning-based methods need to be trained, it is important that they are validated using data from different experiment settings. To develop and validate automated measuring tools, there is a need for annotated rodent interaction datasets. Currently, the availability of such datasets is limited to two mouse datasets. We introduce the first, publicly available rat social interaction dataset, RatSI. We demonstrate the practical value of the novel dataset by using it as the training set for a rat interaction recognition method. We show that behavior variations induced by the experiment setting can lead to reduced performance, which illustrates the importance of cross-dataset validation. Consequently, we add a simple adaptation step to our method and improve the recognition performance. Most existing methods are trained and evaluated in one experimental setting, which limits the predictive power of the evaluation to that particular setting. We demonstrate that cross-dataset experiments provide more insight in the performance of classifiers. With our novel, public dataset we encourage the development and validation of automated recognition methods. We are convinced that cross-dataset validation enhances our understanding of rodent interactions and facilitates the development of more sophisticated recognition methods. Combining them with adaptation techniques may enable us to apply automated recognition methods to a variety of animals and experiment settings. Copyright © 2017 Elsevier B.V. All rights reserved.
van der Sluijs, Winfried; Haseen, Farhana; Miller, Martine; MacGregor, Andy; Sharp, Clare; Amos, Amanda; Best, Catherine; Stead, Martine; Eadie, Douglas; Pearce, Jamie; Frank, John; Haw, Sally
2016-10-01
As further restrictions have been placed on tobacco advertising and promotions, point-of-sale (PoS) displays of cigarettes in shops have become an increasingly important source of young people's exposure to tobacco products. This study explored the relationship between PoS displays of cigarettes and brand awareness among secondary school students in Scotland. Cross-sectional school surveys (n = 1406) and focus groups (n = 86) were conducted with S2 (13-14 years) and S4 (15-16 years) students in four schools of differing socioeconomic status in 2013, prior to the PoS display ban in large shops. Adjusted negative binomial regression analysis examined associations between brand awareness and exposure variables (visiting tobacco retailers, noticing displays of tobacco products). Students visiting small shops more frequently (relative rate ratio [RRR] 1.19, 95% confidence interval [CI] 1.01-1.41) and those who noticed cigarette displays in small shops (RRR 1.24, 95% CI 1.03-1.51) and large supermarkets (RRR 1.15, 95% CI 1.01-1.30) had higher brand awareness. The focus groups supported these findings. Participants described PoS tobacco displays as being eye-catching, colorful and potentially attractive to young people. This mixed-methods study showed that higher cigarette brand awareness was significantly associated with regularly visiting small shops and noticing PoS displays in small and large shops, even when students' smoking status, smoking in their social networks, leisure activities, and demographics were included as confounding variables. This highlights the importance of PoS displays of tobacco products in increasing brand awareness, which is known to increase youth smoking susceptibility, and thus the importance of implementing PoS display bans in all shops. As increasing restrictions have been placed on tobacco promotion in many countries, PoS displays of cigarettes in shops have become an important source of young people's exposure to tobacco products and marketing. This mixed-methods study showed that prior to the PoS display ban in Scotland, and controlling for other factors, 13- and 15-year olds who regularly visited small shops and those who noticed PoS displays in small and large shops, had a higher awareness of cigarette brands. This highlights the importance of PoS displays in increasing youth brand awareness, which increases smoking susceptibility, and thus the need for comprehensive bans on PoS displays which cover all shops. © The Author 2016. Published by Oxford University Press on behalf of the Society for Research on Nicotine and Tobacco.
Estimating Fuel Bed Loadings in Masticated Areas
Sharon Hood; Ros Wu
2006-01-01
Masticated fuel treatments that chop small trees, shrubs, and dead woody material into smaller pieces to reduce fuel bed depth are used increasingly as a mechanical means to treat fuels. Fuel loading information is important to monitor changes in fuels. The commonly used planar intercept method however, may not correctly estimate fuel loadings because masticated fuels...
Popcorn and a Movie--Opening Diversity Conversations across the State
ERIC Educational Resources Information Center
Ingram, Patreese D.
2013-01-01
Building the cultural competencies of Extension educators to work effectively with increasingly diverse audiences has become an important goal and a timely focus for professional development. Yet reduced budgets and reductions in staff are challenging the ability to provide professional development in the traditional face-to-face delivery method.…
The Evaluation of a Training and Employment Program: Discussion on Design
ERIC Educational Resources Information Center
Bustos, Antonio; Arostegui, Jose Luis
2012-01-01
Universities in Europe have been playing an increasingly important role in the institutional evaluation of political and social systems for the last thirty years. Their major contribution to those processes of accountability has been to add methods and safeguards of evaluative research. In this paper we report an illustration of how evaluative…
USDA-ARS?s Scientific Manuscript database
Starch, glycogen, maltooligosaccharides, and other alpha-1,4- and alpha-1,6-linked glucose carbohydrates exclusive of resistant starch are collectively termed "dietary starch." This nutritionally important fraction is increasingly measured for use in diet formulation for animals, as it can have posi...
Looking at Movies and Cartoons: Eye-Tracking Evidence from Williams Syndrome and Autism
ERIC Educational Resources Information Center
Riby, D.; Hancock, P. J. B.
2009-01-01
Background: Autism and Williams syndrome (WS) are neuro-developmental disorders associated with distinct social phenotypes. While individuals with autism show a lack of interest in socially important cues, individuals with WS often show increased interest in socially relevant information. Methods: The current eye-tracking study explores how…
Conjoint Analysis for Mobile Devices for Ubiquitous Learning in Higher Education: The Korean Case
ERIC Educational Resources Information Center
Lee, Hyeongjik
2013-01-01
Despite the increasing importance of mobile devices in education, the essential features of these devices for ubiquitous learning have not been empirically addressed. This study empirically investigated the necessary conditions for using mobile devices as an educational tool for ubiquitous learning in higher education by a conjoint method. The…
Social Justice Advocacy among Graduate Students: An Empirical Investigation
ERIC Educational Resources Information Center
Linnemeyer, Rachel McQuown
2009-01-01
Although social justice advocacy has increasingly been acknowledged as important in the field of psychology (e.g., Goodman et al., 2004; Toporek et al., 2006a, Vera & Speight, 2003), there is a dearth of empirical research examining social justice advocacy across graduate psychology students. This mixed-methods study examined demographic and…
Biomass utilization modeling on the Bitterroot National Forest
Robin P. Silverstein; Dan Loeffler; J. Greg Jones; Dave E. Calkin; Hans R. Zuuring; Martin Twer
2006-01-01
Utilization of small-sized wood (biomass) from forests as a potential source of renewable energy is an increasingly important aspect of fuels management on public lands as an alternative to traditional disposal methods (open burning). The potential for biomass utilization to enhance the economics of treating hazardous forest fuels was examined on the Bitterroot...
A Competitive and Experiential Assignment in Search Engine Optimization Strategy
ERIC Educational Resources Information Center
Clarke, Theresa B.; Clarke, Irvine, III
2014-01-01
Despite an increase in ad spending and demand for employees with expertise in search engine optimization (SEO), methods for teaching this important marketing strategy have received little coverage in the literature. Using Bloom's cognitive goals hierarchy as a framework, this experiential assignment provides a process for educators who may be new…
Attitudes, Norms, and the Effect of Social Connectedness on Adolescent Sexual Risk Intention
ERIC Educational Resources Information Center
Cederbaum, Julie A.; Rodriguez, Aubrey J.; Sullivan, Kathrine; Gray, Kandice
2017-01-01
Background: Risky sexual behaviors put adolescents at increased risk of adverse outcomes. Parents, school-based adults, and peers play important roles in influencing these sex intentions. Methods: This work explored the influence of parent-child sex communication on adolescent attitudes, perceived norms, and intentions to have sex, including the…
Evaluating Rater Accuracy in Rater-Mediated Assessments Using an Unfolding Model
ERIC Educational Resources Information Center
Wang, Jue; Engelhard, George, Jr.; Wolfe, Edward W.
2016-01-01
The number of performance assessments continues to increase around the world, and it is important to explore new methods for evaluating the quality of ratings obtained from raters. This study describes an unfolding model for examining rater accuracy. Accuracy is defined as the difference between observed and expert ratings. Dichotomous accuracy…
The Effectiveness of Community Practice Interventions: A Review of the Literature
ERIC Educational Resources Information Center
Ohmer, Mary L.; Korr, Wynne S.
2006-01-01
Objective: Evidence-based practice is becoming increasingly important in social work and community practice. The authors reviewed existing research to assess the level of evidence available to guide community practice. Method: The authors conducted a review of the literature on community practice intervention research from 1985 to 2002 using…
The Best Science Books & A-V Materials for Children.
ERIC Educational Resources Information Center
O'Connell, Susan M., Ed.; And Others
Some scientists and science educators believe that the most effective strategy for raising science literacy among future workers and voters is to focus on the youngest members of the public. The reviews in this publication were undertaken to increase public understanding and appreciation of the importance and promise of the methods of science in…
ERIC Educational Resources Information Center
Elmore, Donald E.; Guayasamin, Ryann C.; Kieffer, Madeleine E.
2010-01-01
As computational modeling plays an increasingly central role in biochemical research, it is important to provide students with exposure to common modeling methods in their undergraduate curriculum. This article describes a series of computer labs designed to introduce undergraduate students to energy minimization, molecular dynamics simulations,…
Higher Education Finance Reform in the Czech Republic: Transitions in Thought and Practice
ERIC Educational Resources Information Center
McMullen, Matthew S.
2004-01-01
Higher education in the Czech Republic is going through an important transition, both politically and economically. New methods of financing university operations are necessary during the transition to a market economy as government funds are increasingly being drawn to other areas. Government and academic officials have worked together in the…
A Method of Cross-Level Frequent Pattern Mining for Web-Based Instruction
ERIC Educational Resources Information Center
Huang, Yueh-Min; Chen, Juei-Nan; Cheng, Shu-Chen
2007-01-01
Due to the rise of e-Learning, more and more useful learning materials are open to public access. Therefore, an appropriate learning suggestion mechanism is an important tool to enable learners to work more efficiently. A smoother learning process increases the learning effect, avoiding unnecessarily difficult concepts and disorientation during…
The Role of Outdoor Adventure Education in Facilitating Groupwork in Higher Education
ERIC Educational Resources Information Center
Cooley, Sam J.; Burns, Victoria E.; Cumming, Jennifer
2015-01-01
Groupwork is an increasingly popular method of learning in higher education and the ability to work effectively with others is important for academic success and employability. This systematic review investigated the use of outdoor adventure education (OAE) in facilitating the development of transferable groupwork skills in higher education. The…
ERIC Educational Resources Information Center
Wells, Robert D.; And Others
Prenatal appointment keeping is an important predictor of birth outcomes, yet many pregnant adolescents miss an excessive number of appointments. Since effective strategies for increasing appointment keeping require costly staff time, methods to predict relative risk for noncompliance with appointments might help delineate a circumscribed…
The Empirical Review of Meta-Analysis Published in Korea
ERIC Educational Resources Information Center
Park, Sunyoung; Hong, Sehee
2016-01-01
Meta-analysis is a statistical method that is increasingly utilized to combine and compare the results of previous primary studies. However, because of the lack of comprehensive guidelines for how to use meta-analysis, many meta-analysis studies have failed to consider important aspects, such as statistical programs, power analysis, publication…
Life-cycle inventory of manufacturing hardwood lumber in Southeastern US
Richard D. Bergman; Scott A. Bowe
2012-01-01
Environmental impacts associated with the building industry have become of increasing importance. Materials and energy consumed during manufacture of building materials such as lumber affect a buildingâs environmental performance. This study determined environmental impacts of manufacturing hardwood lumber in the southeastern US using the life-cycle inventory method....
Training in a Clozapine Clinic for Psychiatry Residents: A Plea and Suggestions for Implementation
ERIC Educational Resources Information Center
Freudenreich, Oliver; Henderson, David C.; Sanders, Kathy M.; Goff, Donald C.
2013-01-01
Objective: The authors sought to develop a model educational clinic and curriculum for psychiatric residents, to increase knowledge and comfort about clozapine prescribing. This matters because clozapine is an important evidence-based treatment for refractory schizophrenia that remains underutilized in clinical practice. Method: This is a…
Computer-Based Assessment of Complex Problem Solving: Concept, Implementation, and Application
ERIC Educational Resources Information Center
Greiff, Samuel; Wustenberg, Sascha; Holt, Daniel V.; Goldhammer, Frank; Funke, Joachim
2013-01-01
Complex Problem Solving (CPS) skills are essential to successfully deal with environments that change dynamically and involve a large number of interconnected and partially unknown causal influences. The increasing importance of such skills in the 21st century requires appropriate assessment and intervention methods, which in turn rely on adequate…
ERIC Educational Resources Information Center
Lee, In Heok
2012-01-01
Researchers in career and technical education often ignore more effective ways of reporting and treating missing data and instead implement traditional, but ineffective, missing data methods (Gemici, Rojewski, & Lee, 2012). The recent methodological, and even the non-methodological, literature has increasingly emphasized the importance of…
Test Design with Cognition in Mind
ERIC Educational Resources Information Center
Gorin, Joanna S.
2006-01-01
One of the primary themes of the National Research Council's 2001 book "Knowing What Students Know" was the importance of cognition as a component of assessment design and measurement theory (NRC, 2001). One reaction to the book has been an increased use of sophisticated statistical methods to model cognitive information available in test data.…
Teacher Training: Music Methods for an Internationalized Approach to Instruction
ERIC Educational Resources Information Center
VanAlstine, Sharri
2016-01-01
How can music teachers and students connect with music and cultures in an honest and meaningful manner? Can music instruction increase intercultural skills and international-mindedness? If these initiatives are important, pre-service teachers need to know how to address these issues in their classroom content and pedagogy. In an effort to assist…
School Psychologists and the Assessment of Culturally and Linguistically Diverse Students
ERIC Educational Resources Information Center
Vega, Desireé; Lasser, Jon; Afifi, Amanda F. M.
2016-01-01
In recent years, school psychologists have increasingly recognized the importance of using valid and reliable methods to assess culturally and linguistically diverse (CLD) students for special education eligibility. However, little is known about their assessment practices or preparation in this area. To address these questions, a Web-based survey…
Life-Cycle Inventory Analysis of Manufacturing Redwood Decking
Richard D. Bergman; Han-Sup Han; Elaine Oneil; Ivan L. Eastin
2012-01-01
Green building has become increasingly important. Therefore, consumers and builders often take into account the environmental attributes of a building material. This study determined the environmental attributes associated with manufacturing 38-mm à 138-mm (nominal 2 à 6) redwood decking in northern California using the life-cycle inventory method. Primary data...
Organizational Approach to the Ergonomic Examination of E-Learning Modules
ERIC Educational Resources Information Center
Lavrov, Evgeniy; Kupenko, Olena; Lavryk, Tetiana; Barchenko, Natalia
2013-01-01
With a significant increase in the number of e-learning resources the issue of quality is of current importance. An analysis of existing scientific and methodological literature shows the variety of approaches, methods and tools to evaluate e-learning materials. This paper proposes an approach based on the procedure for estimating parameters of…
AM-OER: An Agile Method for the Development of Open Educational Resources
ERIC Educational Resources Information Center
Arimoto, Maurício M.; Barroca, Leonor; Barbosa, Ellen F.
2016-01-01
Open Educational Resources have emerged as important elements of education in the contemporary society, promoting life-long and personalized learning that transcends social, economic and geographical barriers. To achieve the potential of OERs and bring impact on education, it is necessary to increase their development and supply. However, one of…
Introduction to Probability, Part 1 - Basic Concepts. Student Text. Revised Edition.
ERIC Educational Resources Information Center
Blakeslee, David W.; And Others
This book is designed to introduce the reader to some fundamental ideas about probability. The mathematical theory of probability plays an increasingly important role in science, government, industry, business, and economics. An understanding of the basic concepts of probability is essential for the study of statistical methods that are widely…
Co-Constructing Practice in an Online ESOL Literacy Methods Course
ERIC Educational Resources Information Center
Peercy, Megan Madigan; DeStefano, Megan; Kidwell, Tabitha; Ramirez, Rebekah
2016-01-01
Understanding how online approaches to teacher education can support teacher candidates (TCs) in the central work of teaching, that of engaging in practice with learners, has become increasingly important. This study is aligned with scholarship in core practices, which asserts that opportunities to examine, engage in and reflect upon the…
Enhancing Student Engagement in Student Experience Surveys: A Mixed Methods Study
ERIC Educational Resources Information Center
Webber, Martin; Lynch, Siobhan; Oluku, Jennifer
2013-01-01
Background: Measuring the student experience is becoming increasingly important in higher education in the UK. Student experience surveys are used as indicators of quality and form the basis of rankings of higher education institutions. They are also used by them as tools to assist their quality enhancement initiatives. However, these surveys…
Action Learning--An Experiential Tool for Solving Organizational Issues
ERIC Educational Resources Information Center
Kinsey, Sharon B.
2011-01-01
Action Learning can be effectively used in both large and small businesses and organizations by employees, stakeholders, or volunteers through this "learning by doing" approach to evaluate an issue or issues of importance to the organization. First developed in the 1940s, Action Learning has increasingly been used as a method to explore questions…
Peer Group Mentoring Programmes in Finnish Higher Education--Mentors' Perspectives
ERIC Educational Resources Information Center
Skaniakos, Terhi; Penttinen, Leena; Lairio, Marjatta
2014-01-01
Peer mentoring is one of the most important guidance practices for first-year students entering higher education and academic life. We are interested in mentors' roles and apply the ideas of group counseling in order to increase the understanding of peer mentoring. Other aspects of guidance--content, methods, and collaboration--are approached on…
The Importance of Neurological and Cognitive Research for Reading Instruction.
ERIC Educational Resources Information Center
MacRae-Campbell, Linda
New views of intelligence and cognitive learning styles highlight ways to increase educational effectiveness by improving instructional methods. Research shows that both hemispheres of the brain play a role in learning, but evidence indicates that one hemisphere may be more aroused than the other in the case of a particular child. Individuals with…
Lithography of Polymer Nanostructures on Glass for Teaching Polymer Chemistry and Physics
ERIC Educational Resources Information Center
Sahar-Halbany, Adi; Vance, Jennifer M.; Drain, Charles Michael
2011-01-01
As nanolithography becomes increasingly important in technology and daily life, a variety of inexpensive and creative methods toward communicating the concepts underpinning these processes in the classroom are necessary. An experiment is described that uses simple CD-Rs, C-clamps, an oven, and a freezer to provide concrete examples and insights…
A Unifying Framework for Teaching Nonparametric Statistical Tests
ERIC Educational Resources Information Center
Bargagliotti, Anna E.; Orrison, Michael E.
2014-01-01
Increased importance is being placed on statistics at both the K-12 and undergraduate level. Research divulging effective methods to teach specific statistical concepts is still widely sought after. In this paper, we focus on best practices for teaching topics in nonparametric statistics at the undergraduate level. To motivate the work, we…
Mixed Methods Research: Taking a Broader View
ERIC Educational Resources Information Center
Stewart, Tricia J.; Palermo-Biggs, Michelle
2013-01-01
For school districts, the increasing importance of using data for continuous improvement has become part of the educational landscape under accountability. In many ways, educators have become inundated with data but not always in ways that provide them with a full picture to adequately weigh decisions for their specific context. One way to use…
USDA-ARS?s Scientific Manuscript database
Enhancing the nutritional quality of crops is of international importance, and multiple methods have been utilized to increase the nutrient content of legume seeds. Because nutrients mobilized from source leaves to growing reproductive sink tissues greatly contribute to the final composition of the ...
School Furniture Development: An Evaluation. Educational Studies and Documents No. 16.
ERIC Educational Resources Information Center
Scriven (F.B.) and Associates, London (England).
Unesco is playing an increasingly important role in helping developing countries adapt school furniture in line with educational methods and goals. This publication includes an independent evaluation of Unesco's school furniture projects in Sri Lanka and Tunisia. For purposes of comparison, evaluation of a furniture project carried out by the…
The Importance of Games in Teaching Foreign Languages to Children
ERIC Educational Resources Information Center
Alpar, Melek
2013-01-01
In teaching French as a foreign language, there is a constant development from traditional methods to action-oriented approaches. This development has arisen as a result of students' needs and of innovations in technology. Particularly in the last decade, there has been increasing interest in teaching foreign languages to children. Because of…
Setting Priorities for Gerontological Social Work Research: A National Delphi Study
ERIC Educational Resources Information Center
Burnette, Denise; Morrow-Howell, Nancy; Chen, Li-Mei
2003-01-01
Purpose: An increasingly important task for all disciplines involved in aging research is to identify and prioritize areas for investigation. This article reports the results of a national Delphi study on setting research priorities for gerontological social work. Design and Methods: Delphi methodology, a structured process for eliciting and…
NASA Astrophysics Data System (ADS)
Hattori, Katsuhiro; Ohta, Takayuki; Oda, Akinori; Kousaka, Hiroyuki
2018-01-01
Substrate temperature is one of the important parameters that affect the quality of deposited films. The monitoring of the substrate temperature is an important technique of controlling the deposition process precisely. In this study, the Si substrate temperature in high-power pulse magnetron sputtering (HPPMS) was measured by a noncontact method based on optical low-coherence interferometry (LCI). The measurement was simultaneously performed using an LCI system and a thermocouple (TC) as a contact measurement method. The difference in measured value between the LCI system and the TC was about 7.4 °C. The reproducibilities of measurement for the LCI system and TC were ±0.7 and ±2.0 °C, respectively. The heat influx from the plasma to the substrate was estimated using the temporal variation of substrate temperature and increased from 19.7 to 160.0 mW/cm2 with increasing target applied voltage. The major factor for the enhancement of the heat influx would be charged species such as ions and electrons owing to the high ionization degree of sputtered metal particles in HPPMS.
Methods for recovering precious metals from industrial waste
NASA Astrophysics Data System (ADS)
Canda, L.; Heput, T.; Ardelean, E.
2016-02-01
The accelerated rate of industrialization increases the demand for precious metals, while high quality natural resources are diminished quantitatively, with significant operating costs. Precious metals recovery can be successfully made from waste, considered to be secondary sources of raw material. In recent years, concerns and interest of researchers for more increasing efficient methods to recover these metals, taking into account the more severe environmental protection legislation. Precious metals are used in a wide range of applications, both in electronic and communications equipment, spacecraft and jet aircraft engines and for mobile phones or catalytic converters. The most commonly recovered precious metals are: gold from jewellery and electronics, silver from X- ray films and photographic emulsions, industrial applications (catalysts, batteries, glass/mirrors), jewellery; platinum group metals from catalytic converters, catalysts for the refining of crude oil, industrial catalysts, nitric acid manufacturing plant, the carbon-based catalyst, e-waste. An important aspect is the economic viability of recycling processes related to complex waste flows. Hydrometallurgical and pyrometallurgical routes are the most important ways of processing electrical and electronic equipment waste. The necessity of recovering precious metals has opened new opportunities for future research.
Modelling utility-scale wind power plants. Part 1: Economics
NASA Astrophysics Data System (ADS)
Milligan, Michael R.
1999-10-01
As the worldwide use of wind turbine generators continues to increase in utility-scale applications, it will become increasingly important to assess the economic and reliability impact of these intermittent resources. Although the utility industry in the United States appears to be moving towards a restructured environment, basic economic and reliability issues will continue to be relevant to companies involved with electricity generation. This article is the first of two which address modelling approaches and results obtained in several case studies and research projects at the National Renewable Energy Laboratory (NREL). This first article addresses the basic economic issues associated with electricity production from several generators that include large-scale wind power plants. An important part of this discussion is the role of unit commitment and economic dispatch in production cost models. This paper includes overviews and comparisons of the prevalent production cost modelling methods, including several case studies applied to a variety of electric utilities. The second article discusses various methods of assessing capacity credit and results from several reliability-based studies performed at NREL.
Advances in Homology Protein Structure Modeling
Xiang, Zhexin
2007-01-01
Homology modeling plays a central role in determining protein structure in the structural genomics project. The importance of homology modeling has been steadily increasing because of the large gap that exists between the overwhelming number of available protein sequences and experimentally solved protein structures, and also, more importantly, because of the increasing reliability and accuracy of the method. In fact, a protein sequence with over 30% identity to a known structure can often be predicted with an accuracy equivalent to a low-resolution X-ray structure. The recent advances in homology modeling, especially in detecting distant homologues, aligning sequences with template structures, modeling of loops and side chains, as well as detecting errors in a model, have contributed to reliable prediction of protein structure, which was not possible even several years ago. The ongoing efforts in solving protein structures, which can be time-consuming and often difficult, will continue to spur the development of a host of new computational methods that can fill in the gap and further contribute to understanding the relationship between protein structure and function. PMID:16787261
Fan, Ming; Kuwahara, Hiroyuki; Wang, Xiaolei; Wang, Suojin; Gao, Xin
2015-11-01
Parameter estimation is a challenging computational problem in the reverse engineering of biological systems. Because advances in biotechnology have facilitated wide availability of time-series gene expression data, systematic parameter estimation of gene circuit models from such time-series mRNA data has become an important method for quantitatively dissecting the regulation of gene expression. By focusing on the modeling of gene circuits, we examine here the performance of three types of state-of-the-art parameter estimation methods: population-based methods, online methods and model-decomposition-based methods. Our results show that certain population-based methods are able to generate high-quality parameter solutions. The performance of these methods, however, is heavily dependent on the size of the parameter search space, and their computational requirements substantially increase as the size of the search space increases. In comparison, online methods and model decomposition-based methods are computationally faster alternatives and are less dependent on the size of the search space. Among other things, our results show that a hybrid approach that augments computationally fast methods with local search as a subsequent refinement procedure can substantially increase the quality of their parameter estimates to the level on par with the best solution obtained from the population-based methods while maintaining high computational speed. These suggest that such hybrid methods can be a promising alternative to the more commonly used population-based methods for parameter estimation of gene circuit models when limited prior knowledge about the underlying regulatory mechanisms makes the size of the parameter search space vastly large. © The Author 2015. Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.
Briss, P A; Zaza, S; Pappaioanou, M; Fielding, J; Wright-De Agüero, L; Truman, B I; Hopkins, D P; Mullen, P D; Thompson, R S; Woolf, S H; Carande-Kulis, V G; Anderson, L; Hinman, A R; McQueen, D V; Teutsch, S M; Harris, J R
2000-01-01
Systematic reviews and evidence-based recommendations are increasingly important for decision making in health and medicine. Over the past 20 years, information on the science of synthesizing research results has exploded. However, some approaches to systematic reviews of the effectiveness of clinical preventive services and medical care may be less appropriate for evaluating population-based interventions. Furthermore, methods for linking evidence to recommendations are less well developed than methods for synthesizing evidence. The Guide to Community Preventive Services: Systematic Reviews and Evidence-Based Recommendations (the Guide) will evaluate and make recommendations on population-based and public health interventions. This paper provides an overview of the Guide's process to systematically review evidence and translate that evidence into recommendations. The Guide reviews evidence on effectiveness, the applicability of effectiveness data, (i.e., the extent to which available effectiveness data is thought to apply to additional populations and settings), the intervention's other effects (i.e., important side effects), economic impact, and barriers to implementation of interventions. The steps for obtaining and evaluating evidence into recommendations involve: (1) forming multidisciplinary chapter development teams, (2) developing a conceptual approach to organizing, grouping, selecting and evaluating the interventions in each chapter; (3) selecting interventions to be evaluated; (4) searching for and retrieving evidence; (5) assessing the quality of and summarizing the body of evidence of effectiveness; (6) translating the body of evidence of effectiveness into recommendations; (7) considering information on evidence other than effectiveness; and (8) identifying and summarizing research gaps. Systematic reviews of and evidence-based recommendations for population-health interventions are challenging and methods will continue to evolve. However, using an evidence-based approach to identify and recommend effective interventions directed at specific public health goals may reduce errors in how information is collected and interpreted, identify important gaps in current knowledge thus guiding further research, and enhance the Guide users' ability to assess whether recommendations are valid and prudent from their own perspectives. Over time, all of these advantages could help to increase agreement regarding appropriate community health strategies and help to increase their implementation.
Application of random forests methods to diabetic retinopathy classification analyses.
Casanova, Ramon; Saldana, Santiago; Chew, Emily Y; Danis, Ronald P; Greven, Craig M; Ambrosius, Walter T
2014-01-01
Diabetic retinopathy (DR) is one of the leading causes of blindness in the United States and world-wide. DR is a silent disease that may go unnoticed until it is too late for effective treatment. Therefore, early detection could improve the chances of therapeutic interventions that would alleviate its effects. Graded fundus photography and systemic data from 3443 ACCORD-Eye Study participants were used to estimate Random Forest (RF) and logistic regression classifiers. We studied the impact of sample size on classifier performance and the possibility of using RF generated class conditional probabilities as metrics describing DR risk. RF measures of variable importance are used to detect factors that affect classification performance. Both types of data were informative when discriminating participants with or without DR. RF based models produced much higher classification accuracy than those based on logistic regression. Combining both types of data did not increase accuracy but did increase statistical discrimination of healthy participants who subsequently did or did not have DR events during four years of follow-up. RF variable importance criteria revealed that microaneurysms counts in both eyes seemed to play the most important role in discrimination among the graded fundus variables, while the number of medicines and diabetes duration were the most relevant among the systemic variables. We have introduced RF methods to DR classification analyses based on fundus photography data. In addition, we propose an approach to DR risk assessment based on metrics derived from graded fundus photography and systemic data. Our results suggest that RF methods could be a valuable tool to diagnose DR diagnosis and evaluate its progression.
Adenosine Monophosphate-Based Detection of Bacterial Spores
NASA Technical Reports Server (NTRS)
Kern, Roger G.; Chen, Fei; Venkateswaran, Kasthuri; Hattori, Nori; Suzuki, Shigeya
2009-01-01
A method of rapid detection of bacterial spores is based on the discovery that a heat shock consisting of exposure to a temperature of 100 C for 10 minutes causes the complete release of adenosine monophosphate (AMP) from the spores. This method could be an alternative to the method described in the immediately preceding article. Unlike that method and related prior methods, the present method does not involve germination and cultivation; this feature is an important advantage because in cases in which the spores are those of pathogens, delays involved in germination and cultivation could increase risks of infection. Also, in comparison with other prior methods that do not involve germination, the present method affords greater sensitivity. At present, the method is embodied in a laboratory procedure, though it would be desirable to implement the method by means of a miniaturized apparatus in order to make it convenient and economical enough to encourage widespread use.
Enhancement of wind stress evaluation method under storm conditions
NASA Astrophysics Data System (ADS)
Chen, Yingjian; Yu, Xiping
2016-12-01
Wind stress is an important driving force for many meteorological and oceanographical processes. However, most of the existing methods for evaluation of the wind stress, including various bulk formulas in terms of the wind speed at a given height and formulas relating the roughness height of the sea surface with wind conditions, predict an ever-increasing tendency of the wind stress coefficient as the wind speed increases, which is inconsistent with the field observations under storm conditions. The wave boundary layer model, which is based on the momentum and energy conservation, has the advantage to take into account the physical details of the air-sea interaction process, but is still invalid under storm conditions without a modification. By including the energy dissipation due to the presence of sea spray, which is speculated to be an important aspect of the air-sea interaction under storm conditions, the wave boundary layer model is improved in this study. The improved model is employed to estimate the wind stress caused by an idealized tropical cyclone motion. The computational results show that the wind stress coefficient reaches its maximal value at a wind speed of about 40 m/s and decreases as the wind speed further increases. This is in fairly good agreement with the field data.
Polyakov, Nikolay E; Kispert, Lowell D
2015-09-05
Since carotenoids are highly hydrophobic, air- and light-sensitive hydrocarbon compounds, developing methods for increasing their bioavailability and stability towards irradiation and reactive oxygen species is an important goal. Application of inclusion complexes of "host-guest" type with polysaccharides and oligosaccharides such as arabinogalactan, cyclodextrins and glycyrrhizin minimizes the disadvantages of carotenoids when these compounds are used in food processing (colors and antioxidant capacity) as well as for production of therapeutic formulations. Cyclodextrin complexes which have been used demonstrated enhanced storage stability but suffered from poor solubility. Polysaccharide and oligosaccharide based inclusion complexes play an important role in pharmacology by providing increased solubility and stability of lipophilic drugs. In addition they are used as drug delivery systems to increase absorption rate and bioavailability of the drugs. In this review we summarize the existing data on preparation methods, analysis, and chemical reactivity of carotenoids in inclusion complexes with cyclodextrin, arabinogalactan and glycyrrhizin. It was demonstrated that incorporation of carotenoids into the "host" macromolecule results in significant changes in their physical and chemical properties. In particular, polysaccharide complexes show enhanced photostability of carotenoids in water solutions. A significant decrease in the reactivity towards metal ions and reactive oxygen species in solution was also detected. Copyright © 2015 Elsevier Ltd. All rights reserved.
The great importance of normalization of LC-MS data for highly-accurate non-targeted metabolomics.
Mizuno, Hajime; Ueda, Kazuki; Kobayashi, Yuta; Tsuyama, Naohiro; Todoroki, Kenichiro; Min, Jun Zhe; Toyo'oka, Toshimasa
2017-01-01
The non-targeted metabolomics analysis of biological samples is very important to understand biological functions and diseases. LC combined with electrospray ionization-based MS has been a powerful tool and widely used for metabolomic analyses. However, the ionization efficiency of electrospray ionization fluctuates for various unexpected reasons such as matrix effects and intraday variations of the instrument performances. To remove these fluctuations, normalization methods have been developed. Such techniques include increasing the sensitivity, separating co-eluting components and normalizing the ionization efficiencies. Normalization techniques allow simultaneously correcting of the ionization efficiencies of the detected metabolite peaks and achieving quantitative non-targeted metabolomics. In this review paper, we focused on these normalization methods for non-targeted metabolomics by LC-MS. Copyright © 2016 John Wiley & Sons, Ltd.
NASA Astrophysics Data System (ADS)
Randeberg, Lise Lyngsnes; Skallerud, Bjørn; Langlois, Neil E. I.; Haugen, Olav Anton; Svaasand, Lars Othar
Forensic medicine is a field of medicine where technology plays an increasingly important role in securing and evaluating evidence in, for example, child abuse cases and cases of domestic violence. Methods from chemistry and biological sciences have found a wide application within forensic medicine. Optical technologies like microscopy are also widely used. Despite this, in vivo or post mortem optical diagnostics by spectroscopy have traditionally not had an important role in clinical or forensic examinations. Forensic medical optics as a field might include all kinds of optical analysis for use within forensic science. This includes everything from microscopic techniques to methods for examination of evidence from a crime scene. This chapter will, however, focus on the use of optical diagnostics for examining skin, with a focus on identification, characterization and age determination of minor traumatic injuries like skin bruises.
Physicochemical characterization of modified clay based composites obtained by a novel method
NASA Astrophysics Data System (ADS)
Kalra, Swati; Dudi, D.; Singh, G. P.; Verma, S. K.; Bhojak, N.
2018-05-01
Material science is one of the important fields where, absorption spectra of lanthanide ions have been a subject of several investigations because of their possible use as laser materials, diagnostic tools and sensors. Study of absorption spectra in visible and near infrared regions yields useful information regarding energy and intensity parameters, and nature and probabilities of transitions. Chemical physics provides fundamental tool to develop lanthanide chemistry, which has been increasingly significant in the last few years due to the wide variety of potential applications of their complexes in many important areas of biology and medicines. The present work describes the development of a novel method of composite preparation based on clay and its physiochemical characterization. Simultaneous measurement of some thermal properties has made study more useful. Results match with accepted models.
DOE Office of Scientific and Technical Information (OSTI.GOV)
Schaefer, Bastian; Goedecker, Stefan, E-mail: stefan.goedecker@unibas.ch
2016-07-21
An analysis of the network defined by the potential energy minima of multi-atomic systems and their connectivity via reaction pathways that go through transition states allows us to understand important characteristics like thermodynamic, dynamic, and structural properties. Unfortunately computing the transition states and reaction pathways in addition to the significant energetically low-lying local minima is a computationally demanding task. We here introduce a computationally efficient method that is based on a combination of the minima hopping global optimization method and the insight that uphill barriers tend to increase with increasing structural distances of the educt and product states. This methodmore » allows us to replace the exact connectivity information and transition state energies with alternative and approximate concepts. Without adding any significant additional cost to the minima hopping global optimization approach, this method allows us to generate an approximate network of the minima, their connectivity, and a rough measure for the energy needed for their interconversion. This can be used to obtain a first qualitative idea on important physical and chemical properties by means of a disconnectivity graph analysis. Besides the physical insight obtained by such an analysis, the gained knowledge can be used to make a decision if it is worthwhile or not to invest computational resources for an exact computation of the transition states and the reaction pathways. Furthermore it is demonstrated that the here presented method can be used for finding physically reasonable interconversion pathways that are promising input pathways for methods like transition path sampling or discrete path sampling.« less
A Method for Evaluating Information Security Governance (ISG) Components in Banking Environment
NASA Astrophysics Data System (ADS)
Ula, M.; Ula, M.; Fuadi, W.
2017-02-01
As modern banking increasingly relies on the internet and computer technologies to operate their businesses and market interactions, the threats and security breaches have highly increased in recent years. Insider and outsider attacks have caused global businesses lost trillions of Dollars a year. Therefore, that is a need for a proper framework to govern the information security in the banking system. The aim of this research is to propose and design an enhanced method to evaluate information security governance (ISG) implementation in banking environment. This research examines and compares the elements from the commonly used information security governance frameworks, standards and best practices. Their strength and weakness are considered in its approaches. The initial framework for governing the information security in banking system was constructed from document review. The framework was categorized into three levels which are Governance level, Managerial level, and technical level. The study further conducts an online survey for banking security professionals to get their professional judgment about the ISG most critical components and the importance for each ISG component that should be implemented in banking environment. Data from the survey was used to construct a mathematical model for ISG evaluation, component importance data used as weighting coefficient for the related component in the mathematical model. The research further develops a method for evaluating ISG implementation in banking based on the mathematical model. The proposed method was tested through real bank case study in an Indonesian local bank. The study evidently proves that the proposed method has sufficient coverage of ISG in banking environment and effectively evaluates the ISG implementation in banking environment.
Glavatskiĭ, A Ia; Guzhovskaia, N V; Lysenko, S N; Kulik, A V
2005-12-01
The authors proposed a possible preoperative diagnostics of the degree of supratentorial brain gliom anaplasia using statistical analysis methods. It relies on a complex examination of 934 patients with I-IV degree anaplasias, which had been treated in the Institute of Neurosurgery from 1990 to 2004. The use of statistical analysis methods for differential diagnostics of the degree of brain gliom anaplasia may optimize a diagnostic algorithm, increase reliability of obtained data and in some cases avoid carrying out irrational operative intrusions. Clinically important signs for the use of statistical analysis methods directed to preoperative diagnostics of brain gliom anaplasia have been defined
Simplified Identification of mRNA or DNA in Whole Cells
NASA Technical Reports Server (NTRS)
Almeida, Eduardo; Kadambi, Geeta
2007-01-01
A recently invented method of detecting a selected messenger ribonucleic acid (mRNA) or deoxyribonucleic acid (DNA) sequence offers two important advantages over prior such methods: it is simpler and can be implemented by means of compact equipment. The simplification and miniaturization achieved by this invention are such that this method is suitable for use outside laboratories, in field settings in which space and power supplies may be limited. The present method is based partly on hybridization of nucleic acid, which is a powerful technique for detection of specific complementary nucleic acid sequences and is increasingly being used for detection of changes in gene expression in microarrays containing thousands of gene probes.
Utilization of bone impedance for age estimation in postmortem cases.
Ishikawa, Noboru; Suganami, Hideki; Nishida, Atsushi; Miyamori, Daisuke; Kakiuchi, Yasuhiro; Yamada, Naotake; Wook-Cheol, Kim; Kubo, Toshikazu; Ikegaya, Hiroshi
2015-11-01
In the field of Forensic Medicine the number of unidentified cadavers has increased due to natural disasters and international terrorism. The age estimation is very important for identification of the victims. The degree of sagittal closure is one of such age estimation methods. However it is not widely accepted as a reliable method for age estimation. In this study, we have examined whether measuring impedance value (z-values) of the sagittal suture of the skull is related to the age in men and women and discussed the possibility to use bone impedance for age estimation. Bone impedance values increased with aging and decreased after the age of 64.5. Then we compared age estimation through the conventional visual method and the proposed bone impedance measurement technique. It is suggested that the bone impedance measuring technique may be of value to forensic science as a method of age estimation. Copyright © 2015 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.
Saving in cycles: how to get people to save more money.
Tam, Leona; Dholakia, Utpal
2014-02-01
Low personal savings rates are an important social issue in the United States. We propose and test one particular method to get people to save more money that is based on the cyclical time orientation. In contrast to conventional, popular methods that encourage individuals to ignore past mistakes, focus on the future, and set goals to save money, our proposed method frames the savings task in cyclical terms, emphasizing the present. Across the studies, individuals who used our proposed cyclical savings method, compared with individuals who used a linear savings method, provided an average of 74% higher savings estimates and saved an average of 78% more money. We also found that the cyclical savings method was more efficacious because it increased implementation planning and lowered future optimism regarding saving money.
Nondestructive DNA extraction from museum specimens.
Hofreiter, Michael
2012-01-01
Natural history museums around the world hold millions of animal and plant specimens that are potentially amenable to genetic analyses. With more and more populations and species becoming extinct, the importance of these specimens for phylogenetic and phylogeographic analyses is rapidly increasing. However, as most DNA extraction methods damage the specimens, nondestructive extraction methods are useful to balance the demands of molecular biologists, morphologists, and museum curators. Here, I describe a method for nondestructive DNA extraction from bony specimens (i.e., bones and teeth). In this method, the specimens are soaked in extraction buffer, and DNA is then purified from the soaking solution using adsorption to silica. The method reliably yields mitochondrial and often also nuclear DNA. The method has been adapted to DNA extraction from other types of specimens such as arthropods.
NASA Astrophysics Data System (ADS)
Leiserson, Mark D. M.; Tatar, Diana; Cowen, Lenore J.; Hescott, Benjamin J.
A new method based on a mathematically natural local search framework for max cut is developed to uncover functionally coherent module and BPM motifs in high-throughput genetic interaction data. Unlike previous methods which also consider physical protein-protein interaction data, our method utilizes genetic interaction data only; this becomes increasingly important as high-throughput genetic interaction data is becoming available in settings where less is known about physical interaction data. We compare modules and BPMs obtained to previous methods and across different datasets. Despite needing no physical interaction information, the BPMs produced by our method are competitive with previous methods. Biological findings include a suggested global role for the prefoldin complex and a SWR subcomplex in pathway buffering in the budding yeast interactome.
Leiserson, Mark D M; Tatar, Diana; Cowen, Lenore J; Hescott, Benjamin J
2011-11-01
A new method based on a mathematically natural local search framework for max cut is developed to uncover functionally coherent module and BPM motifs in high-throughput genetic interaction data. Unlike previous methods, which also consider physical protein-protein interaction data, our method utilizes genetic interaction data only; this becomes increasingly important as high-throughput genetic interaction data is becoming available in settings where less is known about physical interaction data. We compare modules and BPMs obtained to previous methods and across different datasets. Despite needing no physical interaction information, the BPMs produced by our method are competitive with previous methods. Biological findings include a suggested global role for the prefoldin complex and a SWR subcomplex in pathway buffering in the budding yeast interactome.
Niu, Chenqi; Xu, Yuancong; Zhang, Chao; Zhu, Pengyu; Huang, Kunlun; Luo, Yunbo; Xu, Wentao
2018-05-01
As genetically modified (GM) technology develops and genetically modified organisms (GMOs) become more available, GMOs face increasing regulations and pressure to adhere to strict labeling guidelines. A singleplex detection method cannot perform the high-throughput analysis necessary for optimal GMO detection. Combining the advantages of multiplex detection and droplet digital polymerase chain reaction (ddPCR), a single universal primer-multiplex-ddPCR (SUP-M-ddPCR) strategy was proposed for accurate broad-spectrum screening and quantification. The SUP increases efficiency of the primers in PCR and plays an important role in establishing a high-throughput, multiplex detection method. Emerging ddPCR technology has been used for accurate quantification of nucleic acid molecules without a standard curve. Using maize as a reference point, four heterologous sequences ( 35S, NOS, NPTII, and PAT) were selected to evaluate the feasibility and applicability of this strategy. Surprisingly, these four genes cover more than 93% of the transgenic maize lines and serve as preliminary screening sequences. All screening probes were labeled with FAM fluorescence, which allows the signals from the samples with GMO content and those without to be easily differentiated. This fiveplex screening method is a new development in GMO screening. Utilizing an optimal amplification assay, the specificity, limit of detection (LOD), and limit of quantitation (LOQ) were validated. The LOD and LOQ of this GMO screening method were 0.1% and 0.01%, respectively, with a relative standard deviation (RSD) < 25%. This method could serve as an important tool for the detection of GM maize from different processed, commercially available products. Further, this screening method could be applied to other fields that require reliable and sensitive detection of DNA targets.
Identification of sewage leaks by active remote-sensing methods
NASA Astrophysics Data System (ADS)
Goldshleger, Naftaly; Basson, Uri
2016-04-01
The increasing length of sewage pipelines, and concomitant risk of leaks due to urban and industrial growth and development is exposing the surrounding land to contamination risk and environmental harm. It is therefore important to locate such leaks in a timely manner, to minimize the damage. Advances in active remote sensing Ground Penetrating Radar (GPR) and Frequency Domain Electromagnetic (FDEM) technologies was used to identify leaking potentially responsible for pollution and to identify minor spills before they cause widespread damage. This study focused on the development of these electromagnetic methods to replace conventional acoustic methods for the identification of leaks along sewage pipes. Electromagnetic methods provide an additional advantage in that they allow mapping of the fluid-transport system in the subsurface. Leak-detection systems using GPR and FDEM are not limited to large amounts of water, but enable detecting leaks of tens of liters per hour, because they can locate increases in environmental moisture content of only a few percentage along the pipes. The importance and uniqueness of this research lies in the development of practical tools to provide a snapshot and monitoring of the spatial changes in soil moisture content up to depths of about 3-4 m, in open and paved areas, at relatively low cost, in real time or close to real time. Spatial measurements performed using GPR and FDEM systems allow monitoring many tens of thousands of measurement points per hectare, thus providing a picture of the spatial situation along pipelines and the surrounding. The main purpose of this study was to develop a method for detecting sewage leaks using the above-proposed geophysical methods, since their contaminants can severely affect public health. We focused on identifying, locating and characterizing such leaks in sewage pipes in residential and industrial areas.
Uncertainties in the deprojection of the observed bar properties
DOE Office of Scientific and Technical Information (OSTI.GOV)
Zou, Yanfei; Shen, Juntai; Li, Zhao-Yu, E-mail: jshen@shao.ac.cn
2014-08-10
In observations, it is important to deproject the two fundamental quantities characterizing a bar, i.e., its length (a) and ellipticity (e), to face-on values before any careful analyses. However, systematic estimation on the uncertainties of the commonly used deprojection methods is still lacking. Simulated galaxies are well suited in this study. We project two simulated barred galaxies onto a two-dimensional (2D) plane with different bar orientations and disk inclination angles (i). Bar properties are measured and deprojected with the popular deprojection methods in the literature. Generally speaking, deprojection uncertainties increase with increasing i. All of the deprojection methods behave badlymore » when i is larger than 60°, due to the vertical thickness of the bar. Thus, future statistical studies of barred galaxies should exclude galaxies more inclined than 60°. At moderate inclination angles (i ≤ 60°), 2D deprojection methods (analytical and image stretching), and Fourier-based methods (Fourier decomposition and bar-interbar contrast) perform reasonably well with uncertainties ∼10% in both the bar length and ellipticity, whereas the uncertainties of the one-dimensional (1D) analytical deprojection can be as high as 100% in certain extreme cases. We find that different bar measurement methods show systematic differences in the deprojection uncertainties. We further discuss the deprojection uncertainty factors with the emphasis on the most important one, i.e., the three-dimensional structure of the bar itself. We construct two triaxial toy bar models that can qualitatively reproduce the results of the 1D and 2D analytical deprojections; they confirm that the vertical thickness of the bar is the main source of uncertainties.« less
2014-01-01
Linear algebraic concept of subspace plays a significant role in the recent techniques of spectrum estimation. In this article, the authors have utilized the noise subspace concept for finding hidden periodicities in DNA sequence. With the vast growth of genomic sequences, the demand to identify accurately the protein-coding regions in DNA is increasingly rising. Several techniques of DNA feature extraction which involves various cross fields have come up in the recent past, among which application of digital signal processing tools is of prime importance. It is known that coding segments have a 3-base periodicity, while non-coding regions do not have this unique feature. One of the most important spectrum analysis techniques based on the concept of subspace is the least-norm method. The least-norm estimator developed in this paper shows sharp period-3 peaks in coding regions completely eliminating background noise. Comparison of proposed method with existing sliding discrete Fourier transform (SDFT) method popularly known as modified periodogram method has been drawn on several genes from various organisms and the results show that the proposed method has better as well as an effective approach towards gene prediction. Resolution, quality factor, sensitivity, specificity, miss rate, and wrong rate are used to establish superiority of least-norm gene prediction method over existing method. PMID:24386895
[Temperature measurement of DC argon plasma jet].
Yan, Jian-Hua; Pan, Xin-Chao; Ma, Zeng-Yi; Tu, Xin; Cen, Ke-Fa
2008-01-01
The electron temperature of DC arc plasma jet is an important parameter, which determines the characteristics of plasma jet. The measurement of emission spectrum was performed to obtain the spectral intensities of some Ar lines and the method of diagrammatic view of Boltzmann was adopted to calculate the electron temperature. The results indicated that the electron temperature dropped at different speed along with the axes of the plasma jet and rose rapidly when the current was increased, and it also rose when the flowrate of argon was increased.
High-Throughput Sequencing: A Roadmap Toward Community Ecology
Poisot, Timothée; Péquin, Bérangère; Gravel, Dominique
2013-01-01
High-throughput sequencing is becoming increasingly important in microbial ecology, yet it is surprisingly under-used to generate or test biogeographic hypotheses. In this contribution, we highlight how adding these methods to the ecologist toolbox will allow the detection of new patterns, and will help our understanding of the structure and dynamics of diversity. Starting with a review of ecological questions that can be addressed, we move on to the technical and analytical issues that will benefit from an increased collaboration between different disciplines. PMID:23610649
NASA Astrophysics Data System (ADS)
Kireeva, Anastassiya I.; Rudenok, Igor P.
2018-04-01
The profound research and physical applications of interactions of different types of waves with medium are very important. Particularly the most interesting sphere is for complex environments, which may be characterized by the increasing number of methods. Their objective analysis increased because of great applied significance. For the optical range it comes to considering the structure, the dimensions of the spatial inhomogeneity of which are comparable to the wavelength of the radiation.
A Study on Improvement of Machining Precision in a Medical Milling Robot
NASA Astrophysics Data System (ADS)
Sugita, Naohiko; Osa, Takayuki; Nakajima, Yoshikazu; Mori, Masahiko; Saraie, Hidenori; Mitsuishi, Mamoru
Minimal invasiveness and increasing of precision have recently become important issues in orthopedic surgery. The femur and tibia must be cut precisely for successful knee arthroplasty. The recent trend towards Minimally Invasive Surgery (MIS) has increased surgical difficulty since the incision length and open access area are small. In this paper, the result of deformation analysis of the robot and an active compensation method of robot deformation, which is based on an error map, are proposed and evaluated.
Dauer, Lawrence T.; Thornton, Raymond H.; Hay, Jennifer L.; Balter, Rochelle; Williamson, Matthew J.; St. Germain, Jean
2013-01-01
OBJECTIVE As public awareness of medical radiation exposure increases, there has been heightened awareness among patients and physicians of the importance of holistic benefit-and-risk discussions in shared medical decision making. CONCLUSION We examine the rationale for informed consent and risk communication, draw on the literature on the psychology of radiation risk communication to increase understanding, examine methods commonly used to communicate radiation risk, and suggest strategies for improving communication about medical radiation benefits and risk. PMID:21427321
High extinction ratio integrated optical modulator for quantum telecommunication systems
NASA Astrophysics Data System (ADS)
Tronev, A.; Parfenov, M.; Agruzov, P.; Ilichev, I.; Shamray, A.
2018-01-01
A method for increasing the extinction ratio of integrated optical Mach-Zehnder modulators based on LiNbO3 via the photorefractive effect is proposed. The influence of the photorefractive effect on the X- and Y-splitters of intensity modulators is experimentally studied. An increase in the modulator extinction ratio by 17 dB (from 30 to 47 dB) is obtained. It is shown that fabricated modulators with a high extinction ratio are important for quantum key distribution systems.
Lei, Chaoshuai; Li, Junning; Sun, Chencheng; Yang, Hailong; Xia, Tao; Hu, Zijun; Zhang, Yue
2018-03-30
Polymethylsilsesquioxane (PMSQ) aerogels obtained from methyltrimethoxysilane (MTMS) are well-known high-performance porous materials. Highly transparent and hydrophobic PMSQ aerogel would play an important role in transparent vacuum insulation panels. Herein, the co-precursor approach and supercritical modification method were developed to prepare the PMSQ aerogels with high transparency and superhydrophobicity. Firstly, benefiting from the introduction of tetramethoxysilane (TMOS) in the precursor, the pore structure became more uniform and the particle size was decreased. As the TMOS content increased, the light transmittance increased gradually from 54.0% to 81.2%, whereas the contact angle of water droplet decreased from 141° to 99.9°, ascribed to the increase of hydroxyl groups on the skeleton surface. Hence, the supercritical modification method utilizing hexamethyldisilazane was also introduced to enhance the hydrophobic methyl groups on the aerogel's surface. As a result, the obtained aerogels revealed superhydrophobicity with a contact angle of 155°. Meanwhile, the developed surface modification method did not lead to any significant changes in the pore structure resulting in the superhydrophobic aerogel with a high transparency of 77.2%. The proposed co-precursor approach and supercritical modification method provide a new horizon in the fabrication of highly transparent and superhydrophobic PMSQ aerogels.
Experimental infection of rainbow trout with Saprolegnia parasitica
Howe, George E.; Stehly, Guy R.
1998-01-01
A method was developed to experimentally induce saprolegniasis in rainbow trout Oncorhynchus mykiss. The development of a reliable method to produce infected fish is essential to efforts to determine the efficacy of various antifungal treatments. Three methods for inducing saprolegniasis were evaluated in waters containing known concentrations of Saprolegnia parasitica zoospores. These methods included application of the following stressors to fish: (1) abrasion and dewatering, (2) water temperature increase, and (3) a combination of abrasion, dewatering, and temperature increase. Neither physical abrasion nor temperature increase stress alone was effective for inducing saprolegniasis. Only 25.9% of fish stressed by abrasion and dewatering alone became infected. Application of both abrasion and temperature stress, however, induced saprolegniasis in 77.8% of fish tested. Most of these fish became infected after 5 d of stress treatments. No fish became infected or died in the positive control group (not stressed but exposed to S. parasitica zoospores) or the negative control group (not stressed or challenged). This method should enable researchers to induce saprolegniasis in rainbow trout to study its pathogenesis or to test the efficacy of antifungal treatments. In conducting efficacy studies, it is important that therapeutic treatments begin promptly after the first signs of saprolegniasis are observed because the disease can progress very quickly and often results in mortality.
Using containerless methods to develop amorphous pharmaceuticals.
Weber, J K R; Benmore, C J; Suthar, K J; Tamalonis, A J; Alderman, O L G; Sendelbach, S; Kondev, V; Yarger, J; Rey, C A; Byrn, S R
2017-01-01
Many pipeline drugs have low solubility in their crystalline state and require compounding in special dosage forms to increase bioavailability for oral administration. The use of amorphous formulations increases solubility and uptake of active pharmaceutical ingredients. These forms are rapidly gaining commercial importance for both pre-clinical and clinical use. Synthesis of amorphous drugs was performed using an acoustic levitation containerless processing method and spray drying. The structure of the products was investigated using in-situ high energy X-ray diffraction. Selected solvents for processing drugs were investigated using acoustic levitation. The stability of amorphous samples was measured using X-ray diffraction. Samples processed using both spray drying and containerless synthesis were compared. We review methods for making amorphous pharmaceuticals and present data on materials made by containerless processing and spray drying. It was shown that containerless processing using acoustic levitation can be used to make phase-pure forms of drugs that are known to be difficult to amorphize. The stability and structure of the materials was investigated in the context of developing and making clinically useful formulations. Amorphous compounds are emerging as an important component of drug development and for the oral delivery of drugs with low solubility. Containerless techniques can be used to efficiently synthesize small quantities of pure amorphous forms that are potentially useful in pre-clinical trials and for use in the optimization of clinical products. Developing new pharmaceutical products is an essential enterprise to improve patient outcomes. The development and application of amorphous pharmaceuticals to increase absorption is rapidly gaining importance and it provides opportunities for breakthrough research on new drugs. There is an urgent need to solve problems associated with making formulations that are both stable and that provide high bioavailability. This article is part of a Special Issue entitled "Science for Life" Guest Editor: Dr. Austen Angell, Dr. Salvatore Magazù and Dr. Federica Migliardo. Copyright © 2016 Elsevier B.V. All rights reserved.
NASA Astrophysics Data System (ADS)
Pokhrel, Rudra P.; Beamesderfer, Eric R.; Wagner, Nick L.; Langridge, Justin M.; Lack, Daniel A.; Jayarathne, Thilina; Stone, Elizabeth A.; Stockwell, Chelsea E.; Yokelson, Robert J.; Murphy, Shane M.
2017-04-01
A wide range of globally significant biomass fuels were burned during the fourth Fire Lab at Missoula Experiment (FLAME-4). A multi-channel photoacoustic absorption spectrometer (PAS) measured dry absorption at 405, 532, and 660 nm and thermally denuded (250 °C) absorption at 405 and 660 nm. Absorption coefficients were broken into contributions from black carbon (BC), brown carbon (BrC), and lensing following three different methodologies, with one extreme being a method that assumes the thermal denuder effectively removes organics and the other extreme being a method based on the assumption that black carbon (BC) has an Ångström exponent of unity. The methodologies employed provide ranges of potential importance of BrC to absorption but, on average, there was a difference of a factor of 2 in the ratio of the fraction of absorption attributable to BrC estimated by the two methods. BrC absorption at shorter visible wavelengths is of equal or greater importance to that of BC, with maximum contributions of up to 92 % of total aerosol absorption at 405 nm and up to 58 % of total absorption at 532 nm. Lensing is estimated to contribute a maximum of 30 % of total absorption, but typically contributes much less than this. Absorption enhancements and the estimated fraction of absorption from BrC show good correlation with the elemental-carbon-to-organic-carbon ratio (EC / OC) of emitted aerosols and weaker correlation with the modified combustion efficiency (MCE). Previous studies have shown that BrC grows darker (larger imaginary refractive index) as the ratio of black to organic aerosol (OA) mass increases. This study is consistent with those findings but also demonstrates that the fraction of total absorption attributable to BrC shows the opposite trend: increasing as the organic fraction of aerosol emissions increases and the EC / OC ratio decreases.
Banaee, Hadi; Ahmed, Mobyen Uddin; Loutfi, Amy
2013-01-01
The past few years have witnessed an increase in the development of wearable sensors for health monitoring systems. This increase has been due to several factors such as development in sensor technology as well as directed efforts on political and stakeholder levels to promote projects which address the need for providing new methods for care given increasing challenges with an aging population. An important aspect of study in such system is how the data is treated and processed. This paper provides a recent review of the latest methods and algorithms used to analyze data from wearable sensors used for physiological monitoring of vital signs in healthcare services. In particular, the paper outlines the more common data mining tasks that have been applied such as anomaly detection, prediction and decision making when considering in particular continuous time series measurements. Moreover, the paper further details the suitability of particular data mining and machine learning methods used to process the physiological data and provides an overview of the properties of the data sets used in experimental validation. Finally, based on this literature review, a number of key challenges have been outlined for data mining methods in health monitoring systems. PMID:24351646
Banaee, Hadi; Ahmed, Mobyen Uddin; Loutfi, Amy
2013-12-17
The past few years have witnessed an increase in the development of wearable sensors for health monitoring systems. This increase has been due to several factors such as development in sensor technology as well as directed efforts on political and stakeholder levels to promote projects which address the need for providing new methods for care given increasing challenges with an aging population. An important aspect of study in such system is how the data is treated and processed. This paper provides a recent review of the latest methods and algorithms used to analyze data from wearable sensors used for physiological monitoring of vital signs in healthcare services. In particular, the paper outlines the more common data mining tasks that have been applied such as anomaly detection, prediction and decision making when considering in particular continuous time series measurements. Moreover, the paper further details the suitability of particular data mining and machine learning methods used to process the physiological data and provides an overview of the properties of the data sets used in experimental validation. Finally, based on this literature review, a number of key challenges have been outlined for data mining methods in health monitoring systems.
Osmotic dehydration of fruits and vegetables: a review.
Yadav, Ashok Kumar; Singh, Satya Vir
2014-09-01
The main cause of perishability of fruits and vegetables are their high water content. To increase the shelf life of these fruits and vegetables many methods or combination of methods had been tried. Osmotic dehydration is one of the best and suitable method to increase the shelf life of fruits and vegetables. This process is preferred over others due to their vitamin and minerals, color, flavor and taste retention property. In this review different methods, treatments, optimization and effects of osmotic dehydration have been reviewed. Studied showed that combination of different osmotic agents were more effective than sucrose alone due to combination of properties of solutes. During the experiments it was found that optimum osmosis was found at approximately 40 °C, 40 °B of osmotic agent and in near about 132 min. Pretreatments also leads to increase the osmotic process in fruits and vegetables. Mass transfer kinetics study is an important parameter to study osmosis. Solids diffusivity were found in wide range (5.09-32.77 kl/mol) studied by Fick's laws of diffusion. These values vary depending upon types of fruits and vegetables and osmotic agents.
Diaz-Balteiro, L; Belavenutti, P; Ezquerro, M; González-Pachón, J; Ribeiro Nobre, S; Romero, C
2018-05-15
There is an important body of literature using multi-criteria distance function methods for the aggregation of a battery of sustainability indicators in order to obtain a composite index. This index is considered to be a proxy of the sustainability goodness of a natural system. Although this approach has been profusely used in the literature, it is not exempt from difficulties and potential pitfalls. Thus, in this paper, a significant number of critical issues have been identified showing different procedures capable of avoiding, or at least of mitigating, the inherent potential pitfalls associated with each one. The recommendations made in the paper could increase the theoretical soundness of the multi-criteria distance function methods when this type of approach is applied in the sustainability field, thus increasing the accuracy and realism of the sustainability measurements obtained. Copyright © 2018 Elsevier Ltd. All rights reserved.
Tug-of-war lacunarity—A novel approach for estimating lacunarity
NASA Astrophysics Data System (ADS)
Reiss, Martin A.; Lemmerer, Birgit; Hanslmeier, Arnold; Ahammer, Helmut
2016-11-01
Modern instrumentation provides us with massive repositories of digital images that will likely only increase in the future. Therefore, it has become increasingly important to automatize the analysis of digital images, e.g., with methods from pattern recognition. These methods aim to quantify the visual appearance of captured textures with quantitative measures. As such, lacunarity is a useful multi-scale measure of texture's heterogeneity but demands high computational efforts. Here we investigate a novel approach based on the tug-of-war algorithm, which estimates lacunarity in a single pass over the image. We computed lacunarity for theoretical and real world sample images, and found that the investigated approach is able to estimate lacunarity with low uncertainties. We conclude that the proposed method combines low computational efforts with high accuracy, and that its application may have utility in the analysis of high-resolution images.
Experimental studies of forensic odontology to aid in the identification process
Saxena, Susmita; Sharma, Preeti; Gupta, Nitin
2010-01-01
The importance of dental identification is on the increase year after year. With the passage of time, the role of forensic odontology has increased as very often teeth and dental restorations are the only means of identification. Forensic odontology has played a key role in identification of persons in mass disasters (aviation, earthquakes, Tsunamis), in crime investigations, in ethnic studies, and in identification of decomposed and disfigured bodies like that of drowned persons, fire victims, and victims of motor vehicle accidents. The various methods employed in forensic odontology include tooth prints, radiographs, photographic study, rugoscopy, cheiloscopy and molecular methods. Investigative methods applied in forensic odontology are reasonably reliable, yet the shortcomings must be accounted for to make it a more meaningful and relevant procedure. This paper gives an overview of the various experimental studies to aid in the identification processes, discussing their feasibilities and limitations in day-to-day practice. PMID:21731343
Yin, H; Casey, P S; Chow, G M
2012-11-01
Targeted drug delivery has been one of the most important biomedical applications for magnetic particles. Such applications require magnetic particles to have functionalized surfaces/surface coatings that facilitate their incorporation into a polymer matrix to produce a polymer composite. In this paper, nanocrystalline nickel ferrite particles with an oleic acid surface coating were synthesized using a non-hydrolytic sol-gel method and incorporated into a biodegradable polymer matrix, poly(D,L-lactide) PLA prepared using a double emulsion method. As-synthesized nickel ferrite particles had a multi-crystalline structure with chemically adsorbed oleic acid on their surface. After forming the PLA composite, nickel ferrite particles were encapsulated in PLA microspheres. At low nickel ferrite concentrations, composites showed very similar surface charges to that of PLA. The composites were magnetically responsive and increasing the nickel ferrite concentration was found to increase magnetization of the composite.
Deep learning of support vector machines with class probability output networks.
Kim, Sangwook; Yu, Zhibin; Kil, Rhee Man; Lee, Minho
2015-04-01
Deep learning methods endeavor to learn features automatically at multiple levels and allow systems to learn complex functions mapping from the input space to the output space for the given data. The ability to learn powerful features automatically is increasingly important as the volume of data and range of applications of machine learning methods continues to grow. This paper proposes a new deep architecture that uses support vector machines (SVMs) with class probability output networks (CPONs) to provide better generalization power for pattern classification problems. As a result, deep features are extracted without additional feature engineering steps, using multiple layers of the SVM classifiers with CPONs. The proposed structure closely approaches the ideal Bayes classifier as the number of layers increases. Using a simulation of classification problems, the effectiveness of the proposed method is demonstrated. Copyright © 2014 Elsevier Ltd. All rights reserved.
Nessen, Merel A; van der Zwaan, Dennis J; Grevers, Sander; Dalebout, Hans; Staats, Martijn; Kok, Esther; Palmblad, Magnus
2016-05-11
Proteomics methodology has seen increased application in food authentication, including tandem mass spectrometry of targeted species-specific peptides in raw, processed, or mixed food products. We have previously described an alternative principle that uses untargeted data acquisition and spectral library matching, essentially spectral counting, to compare and identify samples without the need for genomic sequence information in food species populations. Here, we present an interlaboratory comparison demonstrating how a method based on this principle performs in a realistic context. We also increasingly challenge the method by using data from different types of mass spectrometers, by trying to distinguish closely related and commercially important flatfish, and by analyzing heavily contaminated samples. The method was found to be robust in different laboratories, and 94-97% of the analyzed samples were correctly identified, including all processed and contaminated samples.
Effects of sounding temperature assimilation on weather forecasting - Model dependence studies
NASA Technical Reports Server (NTRS)
Ghil, M.; Halem, M.; Atlas, R.
1979-01-01
In comparing various methods for the assimilation of remote sounding information into numerical weather prediction (NWP) models, the problem of model dependence for the different results obtained becomes important. The paper investigates two aspects of the model dependence question: (1) the effect of increasing horizontal resolution within a given model on the assimilation of sounding data, and (2) the effect of using two entirely different models with the same assimilation method and sounding data. Tentative conclusions reached are: first, that model improvement as exemplified by increased resolution, can act in the same direction as judicious 4-D assimilation of remote sounding information, to improve 2-3 day numerical weather forecasts. Second, that the time continuous 4-D methods developed at GLAS have similar beneficial effects when used in the assimilation of remote sounding information into NWP models with very different numerical and physical characteristics.
Native T1 mapping of the heart - a pictorial review.
Germain, Philippe; El Ghannudi, Soraya; Jeung, Mi-Young; Ohlmann, Patrick; Epailly, Eric; Roy, Catherine; Gangi, Afshin
2014-01-01
T1 mapping is now a clinically feasible method, providing pixel-wise quantification of the cardiac structure's T1 values. Beyond focal lesions, well depicted by late gadolinium enhancement sequences, it has become possible to discriminate diffuse myocardial alterations, previously not assessable by noninvasive means. The strength of this method includes the high reproducibility and immediate clinical applicability, even without the use of contrast media injection (native or pre-contrast T1). The two most important determinants of native T1 augmentation are (1) edema related to tissue water increase (recent infarction or inflammation) and (2) interstitial space increase related to fibrosis (infarction scar, cardiomyopathy) or to amyloidosis. Conversely, lipid (Anderson-Fabry) or iron overload diseases are responsible for T1 reduction. In this pictorial review, the main features provided by native T1 mapping are discussed and illustrated, with a special focus on the awaited clinical purpose of this unique, promising new method.
NASA Astrophysics Data System (ADS)
Fatrias, D.; Kamil, I.; Meilani, D.
2018-03-01
Coordinating business operation with suppliers becomes increasingly important to survive and prosper under the dynamic business environment. A good partnership with suppliers not only increase efficiency, but also strengthen corporate competitiveness. Associated with such concern, this study aims to develop a practical approach of multi-criteria supplier evaluation using combined methods of Taguchi loss function (TLF), best-worst method (BWM) and VIse Kriterijumska Optimizacija kompromisno Resenje (VIKOR). A new framework of integrative approach adopting these methods is our main contribution for supplier evaluation in literature. In this integrated approach, a compromised supplier ranking list based on the loss score of suppliers is obtained using efficient steps of a pairwise comparison based decision making process. Implemetation to the case problem with real data from crumb rubber industry shows the usefulness of the proposed approach. Finally, a suitable managerial implication is presented.
Study on cord/rubber interface at elevated temperatures by H-pull test method
NASA Astrophysics Data System (ADS)
Jamshidi, M.; Afshar, F.; Mohammadi, N.; Pourmahdian, S.
2005-08-01
Cords are used as reinforcing materials in rubber compounds. To increase cord/rubber interfacial adhesion, they are coated by an adhesive (usually based on resorcinol-formaldehyde-latex). These composites are used in many sectors such as tire and belt industries. Cord/rubber adhesion strength is an important aspect to determine the durability of system. Due to temperature increase during running tires, the adhesion energy becomes different from initial one. To study cord/rubber interface at elevated temperatures, H-adhesion test method was used. H-pull test is a simple method for adhesion evaluation at ambient temperature, so it is usually used for material quality control. In this research, cord/rubber systems were vulcanized at different temperatures and H-adhesion of samples were evaluated at elevated temperatures. Also cord/rubber interface was studied by ATR analyze to determine interfacial interactions kind.
Marketing information goods and services in medical libraries and information centers
Ashrafi-rizi, Hasan; Kazempour, Zahra
2012-01-01
Marketing is one of the essential parts of any business corporation in the modern management. One can see the difference between corporations in gaining their goals, considering their marketing methods. Gaining more advantage or acquiring more funds can be of reasons for marketing, but these are not all the reasons. Perhaps the most important reason for marketing is increasing the customer satisfaction. This, in turn, leads to more willingness in payment and using services. Nowadays, due to rapid growth in ICT, changes in budgets, rapid growth in development and use of knowledge, variety of users and their needs, marketing has become an important factor in any library activities. Libraries are now more responsible in this regard, because marketing is now an important tool in improving users’ satisfaction in using library services. Hence, marketing is now very important for libraries to survive in the increasing pressures of competitive conditions of the information market. This article is tapping on issues such as information marketing, principles of marketing, marketing techniques, developing markets, and marketing skills. Some recommendations are also presented for marketing in libraries. PMID:23555112
Marketing information goods and services in medical libraries and information centers.
Ashrafi-Rizi, Hasan; Kazempour, Zahra
2012-01-01
Marketing is one of the essential parts of any business corporation in the modern management. One can see the difference between corporations in gaining their goals, considering their marketing methods. Gaining more advantage or acquiring more funds can be of reasons for marketing, but these are not all the reasons. Perhaps the most important reason for marketing is increasing the customer satisfaction. This, in turn, leads to more willingness in payment and using services. Nowadays, due to rapid growth in ICT, changes in budgets, rapid growth in development and use of knowledge, variety of users and their needs, marketing has become an important factor in any library activities. Libraries are now more responsible in this regard, because marketing is now an important tool in improving users' satisfaction in using library services. Hence, marketing is now very important for libraries to survive in the increasing pressures of competitive conditions of the information market. This article is tapping on issues such as information marketing, principles of marketing, marketing techniques, developing markets, and marketing skills. Some recommendations are also presented for marketing in libraries.
Prospects of Understanding the Molecular Biology of Disease Resistance in Rice
Arya, Preeti; Kapoor, Ritu; Jaswal, Rajdeep; Sharma, Tilak Raj
2018-01-01
Rice is one of the important crops grown worldwide and is considered as an important crop for global food security. Rice is being affected by various fungal, bacterial and viral diseases resulting in huge yield losses every year. Deployment of resistance genes in various crops is one of the important methods of disease management. However, identification, cloning and characterization of disease resistance genes is a very tedious effort. To increase the life span of resistant cultivars, it is important to understand the molecular basis of plant host–pathogen interaction. With the advancement in rice genetics and genomics, several rice varieties resistant to fungal, bacterial and viral pathogens have been developed. However, resistance response of these varieties break down very frequently because of the emergence of more virulent races of the pathogen in nature. To increase the durability of resistance genes under field conditions, understanding the mechanismof resistance response and its molecular basis should be well understood. Some emerging concepts like interspecies transfer of pattern recognition receptors (PRRs) and transgenerational plant immunitycan be employed to develop sustainable broad spectrum resistant varieties of rice. PMID:29642631
A sub-sampled approach to extremely low-dose STEM
Stevens, A.; Luzi, L.; Yang, H.; ...
2018-01-22
The inpainting of deliberately and randomly sub-sampled images offers a potential means to image specimens at a high resolution and under extremely low-dose conditions (≤1 e -/Å 2) using a scanning transmission electron microscope. We show that deliberate sub-sampling acquires images at least an order of magnitude faster than conventional low-dose methods for an equivalent electron dose. More importantly, when adaptive sub-sampling is implemented to acquire the images, there is a significant increase in the resolution and sensitivity which accompanies the increase in imaging speed. Lastly, we demonstrate the potential of this method for beam sensitive materials and in-situ observationsmore » by experimentally imaging the node distribution in a metal-organic framework.« less
On the use of cartographic projections in visualizing phylo-genetic tree space
2010-01-01
Phylogenetic analysis is becoming an increasingly important tool for biological research. Applications include epidemiological studies, drug development, and evolutionary analysis. Phylogenetic search is a known NP-Hard problem. The size of the data sets which can be analyzed is limited by the exponential growth in the number of trees that must be considered as the problem size increases. A better understanding of the problem space could lead to better methods, which in turn could lead to the feasible analysis of more data sets. We present a definition of phylogenetic tree space and a visualization of this space that shows significant exploitable structure. This structure can be used to develop search methods capable of handling much larger data sets. PMID:20529355
A sub-sampled approach to extremely low-dose STEM
DOE Office of Scientific and Technical Information (OSTI.GOV)
Stevens, A.; Luzi, L.; Yang, H.
The inpainting of deliberately and randomly sub-sampled images offers a potential means to image specimens at a high resolution and under extremely low-dose conditions (≤1 e -/Å 2) using a scanning transmission electron microscope. We show that deliberate sub-sampling acquires images at least an order of magnitude faster than conventional low-dose methods for an equivalent electron dose. More importantly, when adaptive sub-sampling is implemented to acquire the images, there is a significant increase in the resolution and sensitivity which accompanies the increase in imaging speed. Lastly, we demonstrate the potential of this method for beam sensitive materials and in-situ observationsmore » by experimentally imaging the node distribution in a metal-organic framework.« less
An analysis of photovoltaic irrigation system for olive orchards in Greece
NASA Astrophysics Data System (ADS)
Taousanidis, N.; Gavros, K.
2016-11-01
Olive tree cultivation is of major importance in Greece. It has been proved that irrigation of olive orchards increases their production. The classic method followed is diesel pump irrigation. Since Greece favours high insolation the alternative of photovoltaic pumping is proposed. A case study for an olive orchard in Crete is studied with the two alternatives. The photovoltaic pumping system is a direct pumping system as olive trees tolerate even deficit irrigation and storage tank increases the cost. A comparison using the Life Cycle Costing method is proposed. Considerations about climate and economic conditions are taken into account and the study concludes with the profound advantage of the renewable system over the conventional one in strict economic terms.
Olive Tree (Olea europeae L.) Leaves: Importance and Advances in the Analysis of Phenolic Compounds
Abaza, Leila; Taamalli, Amani; Nsir, Houda; Zarrouk, Mokhtar
2015-01-01
Phenolic compounds are becoming increasingly popular because of their potential role in contributing to human health. Experimental evidence obtained from human and animal studies demonstrate that phenolic compounds from Olea europaea leaves have biological activities which may be important in the reduction in risk and severity of certain chronic diseases. Therefore, an accurate profiling of phenolics is a crucial issue. In this article, we present a review work on current treatment and analytical methods used to extract, identify, and/or quantify phenolic compounds in olive leaves. PMID:26783953
National and international veterinary reference laboratories for infectious diseases.
Edwards, S; Alexander, D
1998-08-01
Reference laboratories play an increasingly important role in the harmonisation of laboratory diagnostic tests and the standardisation of veterinary vaccines. This is particularly important in building confidence between international trading partners. The authors review aspects of the organisation, designation and support of reference laboratories for infectious diseases of animals and discuss the principal activities which such laboratories would normally perform. These activities include advice and consultancy, publications and communication, training, research, disease surveillance, maintenance of culture collections, evaluation of reference methods, preparation of reference materials and organisation of inter-laboratory comparisons.
NASA Astrophysics Data System (ADS)
Beam, Margery Elizabeth
The combination of increasing enrollment and the importance of providing transfer students a solid foundation in science calls for science faculty to evaluate teaching methods in rural community colleges. The purpose of this study was to examine and compare the effectiveness of two teaching methods, inquiry teaching methods and didactic teaching methods, applied in a rural community college earth science course. Two groups of students were taught the same content via inquiry and didactic teaching methods. Analysis of quantitative data included a non-parametric ranking statistical testing method in which the difference between the rankings and the median of the post-test scores was analyzed for significance. Results indicated there was not a significant statistical difference between the teaching methods for the group of students participating in the research. The practical and educational significance of this study provides valuable perspectives on teaching methods and student learning styles in rural community colleges.
Nutrition education: a survey of practices and perceptions in undergraduate dietetics education.
Short, Joy E; Chittooran, Mary M
2004-10-01
Electronic mail messages linked to an online survey were sent to 281 directors of didactic and coordinated programs in dietetics to investigate coverage of nutrition education in undergraduate curriculua, perceived importance of topics, and perceived trends. Descriptive statistics and content analysis were performed on responses from 117 programs. Programs addressed nutrition education through a variety of methods and materials. Fifty-three percent (n=62) offered a course dedicated to nutrition education. The most common teaching methods were didactic (88%) and experiential learning (87%). Most of the topics investigated, including those addressed by the Commission on Accreditation for Dietetics Education Accreditation Manual, were viewed as important, very important, or essential. Perceived trends included increased use of technology, theories/models, client-centered education, cultural awareness, and behavior change. Eighty-eight percent of respondents indicated satisfaction with nutrition education curriculum strategies. Dissatisfaction was associated with inadequate time and resources, need for course improvement, and lack of control over experiences. Results may aid in curriculum development.
A general strategy to solve the phase problem in RNA crystallography
Keel, Amanda Y.; Rambo, Robert P.; Batey, Robert T.; Kieft, Jeffrey S.
2007-01-01
SUMMARY X-ray crystallography of biologically important RNA molecules has been hampered by technical challenges, including finding a heavy-atom derivative to obtain high-quality experimental phase information. Existing techniques have drawbacks, severely limiting the rate at which important new structures are solved. To address this need, we have developed a reliable means to localize heavy atoms specifically to virtually any RNA. By solving the crystal structures of thirteen variants of the G·U wobble pair cation binding motif we have identified an optimal version that when inserted into an RNA helix introduces a high-occupancy cation binding site suitable for phasing. This “directed soaking” strategy can be integrated fully into existing RNA and crystallography methods, potentially increasing the rate at which important structures are solved and facilitating routine solving of structures using Cu-Kα radiation. The success of this method has been proven in that it has already been used to solve several novel crystal structures. PMID:17637337
Pfortmueller, Carmen Andrea; Keller, Michael; Mueller, Urs; Zimmermann, Heinz; Exadaktylos, Aristomenis Konstantinos
2013-01-01
Introduction. In this era of high-tech medicine, it is becoming increasingly important to assess patient satisfaction. There are several methods to do so, but these differ greatly in terms of cost, time, and labour and external validity. The aim of this study is to describe and compare the structure and implementation of different methods to assess the satisfaction of patients in an emergency department. Methods. The structure and implementation of the different methods to assess patient satisfaction were evaluated on the basis of a 90-minute standardised interview. Results. We identified a total of six different methods in six different hospitals. The average number of patients assessed was 5012, with a range from 230 (M5) to 20 000 patients (M2). In four methods (M1, M3, M5, and M6), the questionnaire was composed by a specialised external institute. In two methods, the questionnaire was created by the hospital itself (M2, M4).The median response rate was 58.4% (range 9–97.8%). With a reminder, the response rate increased by 60% (M3). Conclusion. The ideal method to assess patient satisfaction in the emergency department setting is to use a patient-based, in-emergency department-based assessment of patient satisfaction, planned and guided by expert personnel. PMID:23984073
T1 and susceptibility contrast at high fields
NASA Astrophysics Data System (ADS)
Neelavalli, Jaladhar
Clinical imaging at high magnetic field strengths (≥ 3Tesla) is sought after primarily due to the increased signal strength available at these fields. This increased SNR can be used to perform: (a) high resolution imaging in the same time as at lower field strengths; (b) the same resolution imaging with much faster acquisition; and (c) functional MR imaging (fMRI), dynamic perfusion and diffusion imaging with increased sensitivity. However they are also associated with increased power deposition (SAR) due to increase in imaging frequency and longer T1 relaxation times. Longer T1s mean longer imaging times for generating good T1 contrast images. On the other hand for faster imaging, at high fields fast spin echo or magnetization prepared sequences are conventionally proposed which are, however, associated with high SAR values. Imaging with low SAR is more and more important as we move towards high fields and particularly for patients with metallic implants like pacemakers or deep brain stimulator. The SAR limit acceptable for these patients is much less than the limit acceptable for normal subjects. A new method is proposed for imaging at high fields with good contrast with simultaneous reduction in power deposition. Further, T1 based contrast optimization problem in FLASH imaging is considered for tissues with different T1s but same spin densities. The solution providing optimal imaging parameters is simplified for quick and easy computation in a clinical setting. The efficacy of the simplification is evaluated and practical limits under which the simplification can be applied are worked out. The phase difference due to variation in magnetic susceptibility property among biological tissues is another unique source of contrast which is different from the conventional T1, T2 and T2* contrast. This susceptibility based phase contrast has become more and more important at high fields, partly due to contrast generation issues due to longer T 1s and shorter T2s and partly because of the invariance of most tissue susceptibilities with field strength. This essentially ensures a constant available phase contrast between tissues across field strengths. In fact, with the increased SNR at high fields, the phase CNR actually increases with field strength which is even better. Susceptibility weighted imaging, which uniquely combines this phase and magnitude information to generate enhanced susceptibility contrast magnitude images, has proven to be an important tool in the study of various neurological conditions like, Alzheimer's, Parkinson's, Huntington's disease and multiple sclerosis even at conventional field strength of 1.5T and should have more applicability at high fields. A major issue in using phase images for susceptibility contrast, directly or as processed SWI magnitude images, is the large scale background phase variations that obscure the local susceptibility based contrast. A novel method is proposed for removing such geometrically induced large scale phase variations using a Fourier Transform based field calculation method. It is shown that the new method is capable of successfully removing the background field effects. It is shown that the new method is not only capable of successfully removing the background field effects but also helps in preserving more local phase information.
Global Transport Networks and Infectious Disease Spread
Tatem, A.J.; Rogers, D.J.; Hay, S.I.
2011-01-01
Air, sea and land transport networks continue to expand in reach, speed of travel and volume of passengers and goods carried. Pathogens and their vectors can now move further, faster and in greater numbers than ever before. Three important consequences of global transport network expansion are infectious disease pandemics, vector invasion events and vector-borne pathogen importation. This review briefly examines some of the important historical examples of these disease and vector movements, such as the global influenza pandemics, the devastating Anopheles gambiae invasion of Brazil and the recent increases in imported Plasmodium falciparum malaria cases. We then outline potential approaches for future studies of disease movement, focussing on vector invasion and vector-borne disease importation. Such approaches allow us to explore the potential implications of international air travel, shipping routes and other methods of transport on global pathogen and vector traffic. PMID:16647974
NASA Astrophysics Data System (ADS)
LI, X.
2017-12-01
Abstract: As human basic and strategic natural resources, Water resources have received an unprecedented challenge under the impacts of global climate change. Analyzing the variation characteristics of runoff and the effect of climate change and human activities on runoff could provide the basis for the reasonable utilization and management of water resources. Taking the Liujiang River Basin as the research object, the discharge data of hydrological station and meteorological data at 24 meteorological stations in the Guangxi Province as the basis, the variation characteristics of runoff and precipitation in the Liujiang River Basin was analyzed, and the quantitatively effect of climate change and human activities on runoff was proposed. The results showed that runoff and precipitation in the Liujiang River Basin had an increasing trend from 1964 to 2006. Using the method of accumulative anomaly and the orderly cluster method, the runoff series was divided into base period and change period. BP - ANN model and sensitivity coefficient method were used for quantifying the influences of climate change and human activities on runoff. We found that the most important factor which caused an increase trend of discharges in the Liujiang River Basin was precipitation. Human activities were also important factors which influenced the intra-annual distribution of runoff. Precipitation had a more sensitive influence to runoff variation than potential evaporation in the Liujiang River Basin. Key words: Liujiang River Basin, climate change, human activities, BP-ANN, sensitivity coefficient method
Enzymatic cycling method using creatine kinase to measure creatine by real-time detection.
Ueda, Shigeru; Sakasegawa, Shin-Ichi
2016-08-01
We have developed a novel enzymatic cycling method that uses creatine kinase (CK) to measure creatine. The method takes advantage of the reversibility of the CK reaction in which the forward (creatine phosphate forming) and reverse reactions are catalyzed in the presence of an excess amount of ATP and IDP, respectively. Real-time detection was accomplished using ADP-dependent glucokinase (ADP-GK) together with glucose-6-phosphate dehydrogenase. ADP, one of the cycling reaction products, was distinguished from IDP by using the nucleotide selectivity of the ADP-GK. The increasing level of ADP was measured from the level of reduced NADP at 340 nm. The method is appropriate for an assay that requires high sensitivity because the rate of increase in absorbance at 340 nm is proportional to the amount of CK present in the reaction mix. We reasoned that the method with CK in combination with creatinine amidohydrolase could be used to assay creatinine, an important marker of kidney function. Our results confirmed the quantitative capability of the assay. Copyright © 2016 Elsevier Inc. All rights reserved.
Computational methods in drug discovery
Leelananda, Sumudu P
2016-01-01
The process for drug discovery and development is challenging, time consuming and expensive. Computer-aided drug discovery (CADD) tools can act as a virtual shortcut, assisting in the expedition of this long process and potentially reducing the cost of research and development. Today CADD has become an effective and indispensable tool in therapeutic development. The human genome project has made available a substantial amount of sequence data that can be used in various drug discovery projects. Additionally, increasing knowledge of biological structures, as well as increasing computer power have made it possible to use computational methods effectively in various phases of the drug discovery and development pipeline. The importance of in silico tools is greater than ever before and has advanced pharmaceutical research. Here we present an overview of computational methods used in different facets of drug discovery and highlight some of the recent successes. In this review, both structure-based and ligand-based drug discovery methods are discussed. Advances in virtual high-throughput screening, protein structure prediction methods, protein–ligand docking, pharmacophore modeling and QSAR techniques are reviewed. PMID:28144341
Computational methods in drug discovery.
Leelananda, Sumudu P; Lindert, Steffen
2016-01-01
The process for drug discovery and development is challenging, time consuming and expensive. Computer-aided drug discovery (CADD) tools can act as a virtual shortcut, assisting in the expedition of this long process and potentially reducing the cost of research and development. Today CADD has become an effective and indispensable tool in therapeutic development. The human genome project has made available a substantial amount of sequence data that can be used in various drug discovery projects. Additionally, increasing knowledge of biological structures, as well as increasing computer power have made it possible to use computational methods effectively in various phases of the drug discovery and development pipeline. The importance of in silico tools is greater than ever before and has advanced pharmaceutical research. Here we present an overview of computational methods used in different facets of drug discovery and highlight some of the recent successes. In this review, both structure-based and ligand-based drug discovery methods are discussed. Advances in virtual high-throughput screening, protein structure prediction methods, protein-ligand docking, pharmacophore modeling and QSAR techniques are reviewed.
Normal tissue complication probability modelling of tissue fibrosis following breast radiotherapy
NASA Astrophysics Data System (ADS)
Alexander, M. A. R.; Brooks, W. A.; Blake, S. W.
2007-04-01
Cosmetic late effects of radiotherapy such as tissue fibrosis are increasingly regarded as being of importance. It is generally considered that the complication probability of a radiotherapy plan is dependent on the dose uniformity, and can be reduced by using better compensation to remove dose hotspots. This work aimed to model the effects of improved dose homogeneity on complication probability. The Lyman and relative seriality NTCP models were fitted to clinical fibrosis data for the breast collated from the literature. Breast outlines were obtained from a commercially available Rando phantom using the Osiris system. Multislice breast treatment plans were produced using a variety of compensation methods. Dose-volume histograms (DVHs) obtained for each treatment plan were reduced to simple numerical parameters using the equivalent uniform dose and effective volume DVH reduction methods. These parameters were input into the models to obtain complication probability predictions. The fitted model parameters were consistent with a parallel tissue architecture. Conventional clinical plans generally showed reducing complication probabilities with increasing compensation sophistication. Extremely homogenous plans representing idealized IMRT treatments showed increased complication probabilities compared to conventional planning methods, as a result of increased dose to areas receiving sub-prescription doses using conventional techniques.
NASA Astrophysics Data System (ADS)
Alsevska, A.; Dilendorfs, V.; Spolitis, S.; Bobrovs, Vj.
2017-12-01
In the paper, the authors compare efficiency of two physical dispersion compensation methods for single channel and 8-channel WDM fibre-optical transmission systems using return-to-zero (RZ) and non-return-to-zero (NRZ) line codes for operation within optical C-band frequencies by means of computer simulations. As one of the most important destructive effects in fibre optical transmission systems (FOTS) is chromatic dispersion (CD), it is very important to reduce its negative effect on a transmitted signal. Dispersion compensation methods that were implemented in the research were dispersion compensating fibre (DCF) and fibre Bragg grating (FBG). The main goal of the paper was to find out which dispersion compensation method (DCF or FBG) provided the highest performance increase for fibre-optical transmission system and provided the longest transmission distance after dispersion compensation was implemented at different locations in the fibre-optical line while RZ or NRZ line codes were used. In the paper the reference point of signal quality for all measurements, which were obtained at the receiver, was BER<10-12.
Preoperative Planning in Orthopaedic Surgery. Current Practice and Evolving Applications.
Atesok, Kivanc; Galos, David; Jazrawi, Laith M; Egol, Kenneth A
2015-12-01
Preoperative planning is an essential prerequisite for the success of orthopaedic procedures. Traditionally, the exercise has involved the written down, step by step "blueprint" of the surgical procedure. Preoperative planning of the technical aspects of the orthopaedic procedure has been performed on hardcopy radiographs using various methods such as copying the radiographic image on tracing papers to practice the planned interventions. This method has become less practical due to variability in radiographic magnification and increasing implementation of digital imaging systems. Advances in technology along with recognition of the importance of surgical safety protocols resulted in widespread changes in orthopaedic preoperative planning approaches. Nowadays, perioperative "briefings" have gained particular importance and novel planning methods have started to integrate into orthopaedic practice. These methods include using software that enables surgeons to perform preoperative planning on digital radiographs and to construct 3D digital models or prototypes of various orthopaedic pathologies from a patient's CT scans to practice preoperatively. Evidence-to-date suggests that preoperative planning and briefings are effective means of favorably influencing the outcomes of orthopaedic procedures.
Cross-Domain Multi-View Object Retrieval via Multi-Scale Topic Models.
Hong, Richang; Hu, Zhenzhen; Wang, Ruxin; Wang, Meng; Tao, Dacheng
2016-09-27
The increasing number of 3D objects in various applications has increased the requirement for effective and efficient 3D object retrieval methods, which attracted extensive research efforts in recent years. Existing works mainly focus on how to extract features and conduct object matching. With the increasing applications, 3D objects come from different areas. In such circumstances, how to conduct object retrieval becomes more important. To address this issue, we propose a multi-view object retrieval method using multi-scale topic models in this paper. In our method, multiple views are first extracted from each object, and then the dense visual features are extracted to represent each view. To represent the 3D object, multi-scale topic models are employed to extract the hidden relationship among these features with respected to varied topic numbers in the topic model. In this way, each object can be represented by a set of bag of topics. To compare the objects, we first conduct topic clustering for the basic topics from two datasets, and then generate the common topic dictionary for new representation. Then, the two objects can be aligned to the same common feature space for comparison. To evaluate the performance of the proposed method, experiments are conducted on two datasets. The 3D object retrieval experimental results and comparison with existing methods demonstrate the effectiveness of the proposed method.
Williamson, Tanja N.; Nystrom, Elizabeth A.; Milly, Paul C.D.
2016-01-01
The Delaware River Basin (DRB) encompasses approximately 0.4 % of the area of the United States (U.S.), but supplies water to 5 % of the population. We studied three forested tributaries to quantify the potential climate-driven change in hydrologic budget for two 25-year time periods centered on 2030 and 2060, focusing on sensitivity to the method of estimating potential evapotranspiration (PET) change. Hydrology was simulated using the Water Availability Tool for Environmental Resources (Williamson et al. 2015). Climate-change scenarios for four Coupled Model Intercomparison Project Phase 5 (CMIP5) global climate models (GCMs) and two Representative Concentration Pathways (RCPs) were used to derive monthly change factors for temperature (T), precipitation (PPT), and PET according to the energy-based method of Priestley and Taylor (1972). Hydrologic simulations indicate a general increase in annual (especially winter) streamflow (Q) as early as 2030 across the DRB, with a larger increase by 2060. This increase in Q is the result of (1) higher winter PPT, which outweighs an annual actual evapotranspiration (AET) increase and (2) (for winter) a major shift away from storage of PPT as snow pack. However, when PET change is evaluated instead using the simpler T-based method of Hamon (1963), the increases in Q are small or even negative. In fact, the change of Q depends as much on PET method as on time period or RCP. This large sensitivity and associated uncertainty underscore the importance of exercising caution in the selection of a PET method for use in climate-change analyses.
Chen, Kevin K; Harty, Jonathan H; Bosco, Joseph A
2017-06-01
The increasing cost of our country's healthcare is not sustainable. To address this crisis, the federal government is transiting healthcare reimbursement from the traditional volume-based system to a value-based system. As such, increasing healthcare value has become an essential point of discussion for all healthcare stakeholders. The purpose of this study is to discuss the importance of healthcare value as a means to achieve this goal of value-based medicine and 3 methods to create value in total joint arthroplasty. These methods are to: (1) improve outcomes greater than the increased costs to achieve this improvement, (2) decrease costs without affecting outcomes, and (3) decrease costs while simultaneously improving outcomes. Following these guidelines will help practitioners thrive in a bundled care environment. Copyright © 2017 Elsevier Inc. All rights reserved.
Application to Noninvasive Measurement of Blood Components Based on Infrared Spectroscopy
NASA Astrophysics Data System (ADS)
Tamura, Kazuto; Ishizawa, Hiroaki; Fujita, Keiichi; Kaneko, Wataru; Morikawa, Tomotaka; Toba, Eiji; Kobayashi, Hideo
Recently, lifestyle diseases (diabetics, hyperlipemia etc.) have been steadily increasing, because change of diet, lack of exercise, increase an alcoholic intake, and increase a stress. It is a matter of vital importance to us. About tens of millions of people in Japan have approached the danger of lifestyle diseases. So they have to do a blood test to make sure that they have controlled physical condition themselves. Therefore, they have to measure blood components again and again. So, they are burden too heavy. This paper describes a new noninvasive measurement of blood components based on optical sensing. This uses Fourier transform infrared spectroscopy of attenuated total reflection. In order to study, the influence of individual difference, the internal standard method was introduced. This paper describes the detail of the internal standard method and its effect to the blood components calibration. Significant improvement was obtained by using the internal standard.
Methods of Economic Valuation of The Health Risks Associated with Nanomaterials
NASA Astrophysics Data System (ADS)
Shalhevet, S.; Haruvy, N.
The worldwide market for nanomaterials is growing rapidly, but relatively little is still known about the potential risks associated with these materials. The potential health hazards associated with exposure to nanomaterials may lead in the future to increased health costs as well as increased economic costs to the companies involved, as has happened in the past in the case of asbestos. Therefore, it is important to make an initial estimate of the potential costs associated with these health hazards, and to prepare ahead with appropriate health insurance for individuals and financial insurance for companies. While several studies have examined the environmental and health hazards of different nanomaterials by performing life cycle impact assessments, so far these studies have concentrated on the cost of production, and did not estimate the economic impact of the health hazards. This paper discusses methods of evaluating the economic impact of potential health hazards on the public. The proposed method is based on using life cycle impact assessment studies of nanomaterials to estimate the DALYs (Disability Adjusted Life Years) associated with the increased probability of these health hazards. The economic valuation of DALY's can be carried out based on the income lost and the costs of medical treatment. The total expected increase in cost depends on the increase in the statistical probability of each disease.
Rihan, Hail Z; Al-Issawi, Mohammed; Fuller, Michael P
2017-07-01
The development stages of conventional cauliflower seeds were studied and the accumulation of dehydrin proteins through the maturation stages was investigated with the aim of identifying methods to improve the viability of artificial seeds of cauliflower. While carbohydrate, ash and lipids increased throughout the development of cauliflower traditional seeds, proteins increased with the development of seed and reached the maximum level after 75 days of pollination, however, the level of protein started to decrease after that. A significant increase in the accumulation of small size dehydrin proteins (12, 17, 26 KDa) was observed during the development of cauliflower seeds. Several experiments were conducted in order to increase the accumulation of important dehydrin proteins in cauliflower microshoots (artificial seeds). Mannitol and ABA (Absisic acid) increased the accumulation of dehydrins in cauliflower microshoots while cold acclimation did not have a significant impact on the accumulation of these proteins. Molybdenum treatments had a negative impact on dehydrin accumulation. Dehydrins have an important role in the drought tolerance of seeds and, therefore, the current research helps to improve the accumulation of these proteins in cauliflower artificial seeds. This in turns improves the quality of these artificial seeds. The current results suggest that dehydrins do not play an important role in cold tolerance of cauliflower artificial seeds. This study could have an important role in improving the understanding of the molecular mechanism of abiotic stress tolerance in plants. Copyright © 2017 Elsevier Masson SAS. All rights reserved.
Sheybani, Roya; Meng, Ellis
2015-01-01
Recombination of electrolysis gases (oxidation of hydrogen and reduction of oxygen) is an important factor in operation efficiency of devices employing electrolysis such as actuators and also unitized regenerative fuel cells. Several methods of improving recombination speed and repeatability were developed for application to electrolysis microactuators with Nafion®-coated catalytic electrodes. Decreasing the electrolysis chamber volume increased the speed, consistency, and repeatability of the gas recombination rate. To further improve recombination performance, methods to increase the catalyst surface area, hydrophobicity, and availability were developed and evaluated. Of these, including in the electrolyte pyrolyzed-Nafion®-coated Pt segments contained in the actuator chamber accelerated recombination by increasing the catalyst surface area and decreasing the gas transport diffusion path. This approach also reduced variability in recombination encountered under varying actuator orientation (resulting in differing catalyst/gas bubble proximity) and increased the rate of recombination by 2.3 times across all actuator orientations. Repeatability of complete recombination for different generated gas volumes was studied through cycling. PMID:26251561
Zhong, Yi; Gross, Herbert
2017-05-01
Freeform surfaces play important roles in improving the imaging performance of off-axis optical systems. However, for some systems with high requirements in specifications, the structure of the freeform surfaces could be very complicated and the number of freeform surfaces could be large. That brings challenges in fabrication and increases the cost. Therefore, to achieve a good initial system with minimum aberrations and reasonable structure before implementing freeform surfaces is essential for optical designers. The already existing initial system design methods are limited to certain types of systems. A universal tool or method to achieve a good initial system efficiently is very important. In this paper, based on the Nodal aberration theory and the system design method using Gaussian Brackets, the initial system design method is extended from rotationally symmetric systems to general non-rotationally symmetric systems. The design steps are introduced and on this basis, two off-axis three-mirror systems are pre-designed using spherical shape surfaces. The primary aberrations are minimized using the nonlinear least-squares solver. This work provides insight and guidance for initial system design of off-axis mirror systems.
NASA Astrophysics Data System (ADS)
Gao, Yu; Ma, Lei; Liu, Jiaxun; Zhuang, Zhuzhou; Huang, Qiuhao; Li, Manchun
2017-04-01
Fragmentation and reduced continuity of habitat patches threaten the environment and biodiversity. Recently, ecological networks are increasingly attracting the attention of researchers as they provide fundamental frameworks for environmental protection. This study suggests a set of procedures to construct an ecological network. First, we proposed a method to construct a landscape resistance surface based on the assessment of habitat quality. Second, to analyze the effect of the resistance surface on corridor simulations, we used three methods to construct resistance surfaces: (1) the method proposed in this paper, (2) the entropy coefficient method, and (3) the expert scoring method. Then, we integrated habitat patches and resistance surfaces to identify potential corridors using graph theory. These procedures were tested in Changzhou, China. Comparing the outputs of using different resistance surfaces demonstrated that: (1) different landscape resistance surfaces contribute to how corridors are identified, but only slightly affect the assessment of the importance of habitat patches and potential corridors; (2) the resistance surface, which is constructed based on habitat quality, is more applicable to corridor simulations; and (3) the assessment of the importance of habitat patches is fundamental for ecological network optimization in the conservation of critical habitat patches and corridors.
Big data and ergonomics methods: A new paradigm for tackling strategic transport safety risks.
Walker, Guy; Strathie, Ailsa
2016-03-01
Big data collected from On-Train Data Recorders (OTDR) has the potential to address the most important strategic risks currently faced by rail operators and authorities worldwide. These risk issues are increasingly orientated around human performance and have proven resistant to existing approaches. This paper presents a number of proof of concept demonstrations to show that long standing ergonomics methods can be driven from big data, and succeed in providing insight into human performance in a novel way. Over 300 ergonomics methods were reviewed and a smaller sub-set selected for proof-of-concept development using real on-train recorder data. From this are derived nine candidate Human Factors Leading Indicators which map on to all of the psychological precursors of the identified risks. This approach has the potential to make use of a significantly underused source of data, and enable rail industry stakeholders to intervene sooner to address human performance issues that, via the methods presented in this paper, are clearly manifest in on-train data recordings. The intersection of psychological knowledge, ergonomics methods and big data creates an important new framework for driving new insights. Copyright © 2015 Elsevier Ltd and The Ergonomics Society. All rights reserved.
Acoustic Treatment Design Scaling Methods. Volume 1; Overview, Results, and Recommendations
NASA Technical Reports Server (NTRS)
Kraft, R. E.; Yu, J.
1999-01-01
Scale model fan rigs that simulate new generation ultra-high-bypass engines at about 1/5-scale are achieving increased importance as development vehicles for the design of low-noise aircraft engines. Testing at small scale allows the tests to be performed in existing anechoic wind tunnels, which provides an accurate simulation of the important effects of aircraft forward motion on the noise generation. The ability to design, build, and test miniaturized acoustic treatment panels on scale model fan rigs representative of the fullscale engine provides not only a cost-savings, but an opportunity to optimize the treatment by allowing tests of different designs. The primary objective of this study was to develop methods that will allow scale model fan rigs to be successfully used as acoustic treatment design tools. The study focuses on finding methods to extend the upper limit of the frequency range of impedance prediction models and acoustic impedance measurement methods for subscale treatment liner designs, and confirm the predictions by correlation with measured data. This phase of the program had as a goal doubling the upper limit of impedance measurement from 6 kHz to 12 kHz. The program utilizes combined analytical and experimental methods to achieve the objectives.
Gao, Yu; Ma, Lei; Liu, Jiaxun; Zhuang, Zhuzhou; Huang, Qiuhao; Li, Manchun
2017-01-01
Fragmentation and reduced continuity of habitat patches threaten the environment and biodiversity. Recently, ecological networks are increasingly attracting the attention of researchers as they provide fundamental frameworks for environmental protection. This study suggests a set of procedures to construct an ecological network. First, we proposed a method to construct a landscape resistance surface based on the assessment of habitat quality. Second, to analyze the effect of the resistance surface on corridor simulations, we used three methods to construct resistance surfaces: (1) the method proposed in this paper, (2) the entropy coefficient method, and (3) the expert scoring method. Then, we integrated habitat patches and resistance surfaces to identify potential corridors using graph theory. These procedures were tested in Changzhou, China. Comparing the outputs of using different resistance surfaces demonstrated that: (1) different landscape resistance surfaces contribute to how corridors are identified, but only slightly affect the assessment of the importance of habitat patches and potential corridors; (2) the resistance surface, which is constructed based on habitat quality, is more applicable to corridor simulations; and (3) the assessment of the importance of habitat patches is fundamental for ecological network optimization in the conservation of critical habitat patches and corridors. PMID:28393879
Nurses' learning styles: promoting better integration of theory into practice.
Frankel, Andrew
In a climate where nurses' roles are expanding, underpinning knowledge is increasingly important. To explore staff preferences for learning and highlight the importance of recognising individual learning styles. A questionnaire was carried out with 61 nurses in an independent health and social care provider, achieving a response rate of 100%. Staff mainly prefer visual or kinaesthetic learning. This indicates the current training programme is not meeting their needs. The learning environment is recognised as having an impact in either encouraging or impeding a positive learning experience. A range of learning theories, concepts and approaches can be used to build and manage effective learning environments. Staff often prefer a visual learning style. Increased emphasis should be given to work-based learning rather than classroom-based teaching methods.
Basics of Antibody Phage Display Technology.
Ledsgaard, Line; Kilstrup, Mogens; Karatt-Vellatt, Aneesh; McCafferty, John; Laustsen, Andreas H
2018-06-09
Antibody discovery has become increasingly important in almost all areas of modern medicine. Different antibody discovery approaches exist, but one that has gained increasing interest in the field of toxinology and antivenom research is phage display technology. In this review, the lifecycle of the M13 phage and the basics of phage display technology are presented together with important factors influencing the success rates of phage display experiments. Moreover, the pros and cons of different antigen display methods and the use of naïve versus immunized phage display antibody libraries is discussed, and selected examples from the field of antivenom research are highlighted. This review thus provides in-depth knowledge on the principles and use of phage display technology with a special focus on discovery of antibodies that target animal toxins.
Method of self-harm in adolescents and young adults and risk of subsequent suicide.
Beckman, Karin; Mittendorfer-Rutz, Ellenor; Waern, Margda; Larsson, Henrik; Runeson, Bo; Dahlin, Marie
2018-03-05
Self-harm is common in youth and an important risk factor for suicide. Certain self-harm methods might indicate a higher risk of suicide. The main aim of this study was to determine whether some methods of self-harm in adolescents (10-17 years) and young adults (18-24 years) are associated with a particularly high risk of suicide. A secondary aim was to ascertain how different self-harm methods might affect the probability of psychiatric follow-up. Five Swedish registers were linked in a national population-based cohort study. All nonfatal self-harm events recorded in specialist health care, excluding psychiatry and primary care services, among 10-24 year olds between 2000 and 2009 were included. Methods were classified as poisoning, cutting/piercing, violent method (gassing, hanging, strangulation/suffocation, drowning, jumping and firearms), other and multiple methods. Hazard Ratios (HR) for suicide were calculated in Cox regression models for each method with poisoning as the reference. Odds Ratios (OR) for psychiatric inpatient care were determined in logistic regression models. Analyses were adjusted for important covariates and stratified by age group and treatment setting (inpatient/outpatient). Among adolescents with initial medical hospitalisation, use of a violent method was associated with a near eightfold increase in HR for suicide compared to self-poisoning in the adjusted analysis [HR 7.8; 95% confidence interval (CI) 3.2-19.0]. Among hospitalised young adult women, adjusted HRs were elevated fourfold for both cutting [4.0 (1.9-8.8)] and violent methods [3.9 (1.5-10.6)]. Method of self-harm did not affect suicide risk in young adult men. Adolescents using violent methods had an increased probability of psychiatric inpatient care following initial treatment for self-harm. Violent self-harm requiring medical hospitalisation may signal particularly high risk of future suicide in adolescents (both sexes) and in young adult women. For the latter group this is the case for cutting requiring hospitalisation as well. © 2018 Association for Child and Adolescent Mental Health.
Toward increased autonomy in the surgical OR: needs, requests, and expectations.
Kranzfelder, Michael; Staub, Christoph; Fiolka, Adam; Schneider, Armin; Gillen, Sonja; Wilhelm, Dirk; Friess, Helmut; Knoll, Alois; Feussner, Hubertus
2013-05-01
The current trend in surgery toward further trauma reduction inevitably leads to increased technological complexity. It must be assumed that this situation will not stay under the sole control of surgeons; mechanical systems will assist them. Certain segments of the work flow will likely have to be taken over by a machine in an automatized or autonomous mode. In addition to the analysis of our own surgical practice, a literature search of the Medline database was performed to identify important aspects, methods, and technologies for increased operating room (OR) autonomy. Robotic surgical systems can help to increase OR autonomy by camera control, application of intelligent instruments, and even accomplishment of automated surgical procedures. However, the important step from simple task execution to autonomous decision making is difficult to realize. Another important aspect is the adaption of the general technical OR environment. This includes adaptive OR setting and context-adaptive interfaces, automated tool arrangement, and optimal visualization. Finally, integration of peri- and intraoperative data consisting of electronic patient record, OR documentation and logistics, medical imaging, and patient surveillance data could increase autonomy. To gain autonomy in the OR, a variety of assistance systems and methodologies need to be incorporated that endorse the surgeon autonomously as a first step toward the vision of cognitive surgery. Thus, we require establishment of model-based surgery and integration of procedural tasks. Structured knowledge is therefore indispensable.
Rapid Global Expansion of Invertebrate Fisheries: Trends, Drivers, and Ecosystem Effects
Anderson, Sean C.; Mills Flemming, Joanna; Watson, Reg; Lotze, Heike K.
2011-01-01
Background Worldwide, finfish fisheries are receiving increasing assessment and regulation, slowly leading to more sustainable exploitation and rebuilding. In their wake, invertebrate fisheries are rapidly expanding with little scientific scrutiny despite increasing socio-economic importance. Methods and Findings We provide the first global evaluation of the trends, drivers, and population and ecosystem consequences of invertebrate fisheries based on a global catch database in combination with taxa-specific reviews. We also develop new methodologies to quantify temporal and spatial trends in resource status and fishery development. Since 1950, global invertebrate catches have increased 6-fold with 1.5 times more countries fishing and double the taxa reported. By 2004, 34% of invertebrate fisheries were over-exploited, collapsed, or closed. New fisheries have developed increasingly rapidly, with a decrease of 6 years (3 years) in time to peak from the 1950s to 1990s. Moreover, some fisheries have expanded further and further away from their driving market, encompassing a global fishery by the 1990s. 71% of taxa (53% of catches) are harvested with habitat-destructive gear, and many provide important ecosystem functions including habitat, filtration, and grazing. Conclusions Our findings suggest that invertebrate species, which form an important component of the basis of marine food webs, are increasingly exploited with limited stock and ecosystem-impact assessments, and enhanced management attention is needed to avoid negative consequences for ocean ecosystems and human well-being. PMID:21408090
Daniels, Rachel; Hamilton, Elizabeth J; Durfee, Katelyn; Ndiaye, Daouda; Wirth, Dyann F; Hartl, Daniel L; Volkman, Sarah K
2015-11-10
Despite decades of eradication efforts, malaria remains a global burden. Recent renewed interest in regional elimination and global eradication has been accompanied by increased genomic information about Plasmodium parasite species responsible for malaria, including characteristics of geographical populations as well as variations associated with reduced susceptibility to anti-malarial drugs. One common genetic variation, single-nucleotide polymorphisms (SNPs), offers attractive targets for parasite genotyping. These markers are useful not only for tracking drug resistance markers but also for tracking parasite populations using markers not under drug or other selective pressures. SNP genotyping methods offer the ability to track drug resistance as well as to fingerprint individual parasites for population surveillance, particularly in response to malaria control efforts in regions nearing elimination status. While informative SNPs have been identified that are agnostic to specific genotyping technologies, high-resolution melting (HRM) analysis is particularly suited to field-based studies. Compared to standard fluorescent-probe based methods that require individual SNPs in a single labeled probe and offer at best 10% sensitivity to detect SNPs in samples that contain multiple genomes (polygenomic), HRM offers 2-5% sensitivity. Modifications to HRM, such as blocked probes and asymmetric primer concentrations as well as optimization of amplification annealing temperatures to bias PCR towards amplification of the minor allele, further increase the sensitivity of HRM. While the sensitivity improvement depends on the specific assay, we have increased detection sensitivities to less than 1% of the minor allele. In regions approaching malaria eradication, early detection of emerging or imported drug resistance is essential for prompt response. Similarly, the ability to detect polygenomic infections and differentiate imported parasite types from cryptic local reservoirs can inform control programs. This manuscript describes modifications to high resolution melting technology that further increase its sensitivity to identify polygenomic infections in patient samples.
The Functionality of Facial Appearance and Its Importance to a Korean Population
Kim, Young Jun; Park, Jang Wan; Kim, Jeong Min; Park, Sun Hyung; Hwang, Jae Ha; Lee, Sam Yong; Shin, Jun Ho
2013-01-01
Background Many people have an interest in the correction of facial scars or deformities caused by trauma. The increasing ability to correct such flaws has been one of the reasons for the increase in the popularity of facial plastic surgery. In addition to its roles in communication, breathing, eating, olfaction and vision, the appearance of the face also plays an important role in human interactions, including during social activities. However, studies on the importance of the functional role of facial appearance. As a function of the face are scare. Therefore, in the present study, we evaluated the importance of the functions of the face in Korea. Methods We conducted an online panel survey of 300 participants (age range, 20-70 years). Each respondent was administered the demographic data form, Facial Function Assessment Scale, Rosenberg Self-Esteem Scale, and standard gamble questionnaires. Results In the evaluation on the importance of facial functions, a normal appearance was considered as important as communication, breathing, speech, and vision. Of the 300 participants, 85% stated that a normal appearance is important in social activities. Conclusions The results of this survey involving a cross-section of the Korean population indicated that a normal appearance was considered one of the principal facial functions. A normal appearance was considered more important than the functions of olfaction and expression. Moreover, a normal appearance was determined to be an important facial function for leading a normal life in Korea. PMID:24286044
A quantitative evaluation of two methods for preserving hair samples
Roon, David A.; Waits, L.P.; Kendall, K.C.
2003-01-01
Hair samples are an increasingly important DNA source for wildlife studies, yet optimal storage methods and DNA degradation rates have not been rigorously evaluated. We tested amplification success rates over a one-year storage period for DNA extracted from brown bear (Ursus arctos) hair samples preserved using silica desiccation and -20C freezing. For three nuclear DNA microsatellites, success rates decreased significantly after a six-month time point, regardless of storage method. For a 1000 bp mitochondrial fragment, a similar decrease occurred after a two-week time point. Minimizing delays between collection and DNA extraction will maximize success rates for hair-based noninvasive genetic sampling projects.
Okada, Morihiro; Miller, Thomas C; Roediger, Julia; Shi, Yun-Bo; Schech, Joseph Mat
2017-09-01
Various animal models are indispensible in biomedical research. Increasing awareness and regulations have prompted the adaptation of more humane approaches in the use of laboratory animals. With the development of easier and faster methodologies to generate genetically altered animals, convenient and humane methods to genotype these animals are important for research involving such animals. Here, we report skin swabbing as a simple and noninvasive method for extracting genomic DNA from mice and frogs for genotyping. We show that this method is highly reliable and suitable for both immature and adult animals. Our approach allows a simpler and more humane approach for genotyping vertebrate animals.
[PRIORITY TECHNOLOGIES OF THE MEDICAL WASTE DISPOSAL SYSTEM].
Samutin, N M; Butorina, N N; Starodubova, N Yu; Korneychuk, S S; Ustinov, A K
2015-01-01
The annual production of waste in health care institutions (HCI) tends to increase because of the growth of health care provision for population. Among the many criteria for selecting the optimal treatment technologies HCI is important to provide epidemiological and chemical safety of the final products. Environmentally friendly method of thermal disinfection of medical waste may be sterilizators of medical wastes intended for hospitals, medical centers, laboratories and other health care facilities that have small and medium volume of processing of all types of waste Class B and C. The most optimal method of centralized disposal of medical waste is a thermal processing method of the collected material.
Increasing Literacy in Quantitative Methods: The Key to the Future of Canadian Psychology
Counsell, Alyssa; Cribbie, Robert A.; Harlow, Lisa. L.
2016-01-01
Quantitative methods (QM) dominate empirical research in psychology. Unfortunately most researchers in psychology receive inadequate training in QM. This creates a challenge for researchers who require advanced statistical methods to appropriately analyze their data. Many of the recent concerns about research quality, replicability, and reporting practices are directly tied to the problematic use of QM. As such, improving quantitative literacy in psychology is an important step towards eliminating these concerns. The current paper will include two main sections that discuss quantitative challenges and opportunities. The first section discusses training and resources for students and presents descriptive results on the number of quantitative courses required and available to graduate students in Canadian psychology departments. In the second section, we discuss ways of improving quantitative literacy for faculty, researchers, and clinicians. This includes a strong focus on the importance of collaboration. The paper concludes with practical recommendations for improving quantitative skills and literacy for students and researchers in Canada. PMID:28042199
Determination of high-strength materials diamond grinding rational modes
NASA Astrophysics Data System (ADS)
Arkhipov, P. V.; Lobanov, D. V.; Rychkov, D. A.; Yanyushkin, A. S.
2018-03-01
The analysis of methods of high-strength materials abrasive processing is carried out. This method made it possible to determine the necessary directions and prospects for the development of shaping combined methods. The need to use metal bonded diamond abrasive tools in combination with a different kind of energy is noted to improve the processing efficiency and reduce the complexity of operations. The complex of experimental research on revealing the importance of mechanical and electrical components of cutting regimes, on the cutting ability of diamond tools, as well as the need to reduce the specific consumption of an abrasive wheel as one of the important economic indicators of the processing process is performed. It is established that combined diamond grinding with simultaneous continuous correction of the abrasive wheel contributes to an increase in the cutting ability of metal bonded diamond abrasive tools when processing high-strength materials by an average of 30% compared to diamond grinding. Particular recommendations on the designation of technological factors are developed depending on specific production problems.