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Sample records for activity score based

  1. AADS--an automated active site identification, docking, and scoring protocol for protein targets based on physicochemical descriptors.

    PubMed

    Singh, Tanya; Biswas, D; Jayaram, B

    2011-10-24

    We report here a robust automated active site detection, docking, and scoring (AADS) protocol for proteins with known structures. The active site finder identifies all cavities in a protein and scores them based on the physicochemical properties of functional groups lining the cavities in the protein. The accuracy realized on 620 proteins with sizes ranging from 100 to 600 amino acids with known drug active sites is 100% when the top ten cavity points are considered. These top ten cavity points identified are then submitted for an automated docking of an input ligand/candidate molecule. The docking protocol uses an all atom energy based Monte Carlo method. Eight low energy docked structures corresponding to different locations and orientations of the candidate molecule are stored at each cavity point giving 80 docked structures overall which are then ranked using an effective free energy function and top five structures are selected. The predicted structure and energetics of the complexes agree quite well with experiment when tested on a data set of 170 protein-ligand complexes with known structures and binding affinities. The AADS methodology is implemented on an 80 processor cluster and presented as a freely accessible, easy to use tool at http://www.scfbio-iitd.res.in/dock/ActiveSite_new.jsp . PMID:21877713

  2. Modeling complexity in pathologist workload measurement: the Automatable Activity-Based Approach to Complexity Unit Scoring (AABACUS).

    PubMed

    Cheung, Carol C; Torlakovic, Emina E; Chow, Hung; Snover, Dale C; Asa, Sylvia L

    2015-03-01

    Pathologists provide diagnoses relevant to the disease state of the patient and identify specific tissue characteristics relevant to response to therapy and prognosis. As personalized medicine evolves, there is a trend for increased demand of tissue-derived parameters. Pathologists perform increasingly complex analyses on the same 'cases'. Traditional methods of workload assessment and reimbursement, based on number of cases sometimes with a modifier (eg, the relative value unit (RVU) system used in the United States), often grossly underestimate the amount of work needed for complex cases and may overvalue simple, small biopsy cases. We describe a new approach to pathologist workload measurement that aligns with this new practice paradigm. Our multisite institution with geographically diverse partner institutions has developed the Automatable Activity-Based Approach to Complexity Unit Scoring (AABACUS) model that captures pathologists' clinical activities from parameters documented in departmental laboratory information systems (LISs). The model's algorithm includes: 'capture', 'export', 'identify', 'count', 'score', 'attribute', 'filter', and 'assess filtered results'. Captured data include specimen acquisition, handling, analysis, and reporting activities. Activities were counted and complexity units (CUs) generated using a complexity factor for each activity. CUs were compared between institutions, practice groups, and practice types and evaluated over a 5-year period (2008-2012). The annual load of a clinical service pathologist, irrespective of subspecialty, was ∼40,000 CUs using relative benchmarking. The model detected changing practice patterns and was appropriate for monitoring clinical workload for anatomical pathology, neuropathology, and hematopathology in academic and community settings, and encompassing subspecialty and generalist practices. AABACUS is objective, can be integrated with an LIS and automated, is reproducible, backwards compatible

  3. An affinity-based scoring scheme for predicting DNA-binding activities of modularly assembled zinc-finger proteins

    PubMed Central

    Sander, Jeffry D.; Zaback, Peter; Joung, J. Keith; Voytas, Daniel F.; Dobbs, Drena

    2009-01-01

    Zinc-finger proteins (ZFPs) have long been recognized for their potential to manipulate genetic information because they can be engineered to bind novel DNA targets. Individual zinc-finger domains (ZFDs) bind specific DNA triplet sequences; their apparent modularity has led some groups to propose methods that allow virtually any desired DNA motif to be targeted in vitro. In practice, however, ZFPs engineered using this ‘modular assembly’ approach do not always function well in vivo. Here we report a modular assembly scoring strategy that both identifies combinations of modules least likely to function efficiently in vivo and provides accurate estimates of their relative binding affinities in vitro. Predicted binding affinities for 53 ‘three-finger’ ZFPs, computed based on energy contributions of the constituent modules, were highly correlated (r = 0.80) with activity levels measured in bacterial two-hybrid assays. Moreover, Kd values for seven modularly assembled ZFPs and their intended targets, measured using fluorescence anisotropy, were also highly correlated with predictions (r = 0.91). We propose that success rates for ZFP modular assembly can be significantly improved by exploiting the score-based strategy described here. PMID:19056825

  4. Estimating Decision Indices Based on Composite Scores

    ERIC Educational Resources Information Center

    Knupp, Tawnya Lee

    2009-01-01

    The purpose of this study was to develop an IRT model that would enable the estimation of decision indices based on composite scores. The composite scores, defined as a combination of unidimensional test scores, were either a total raw score or an average scale score. Additionally, estimation methods for the normal and compound multinomial models…

  5. Modelling Cost-Effectiveness of Biologic Treatments Based on Disease Activity Scores for the Management of Rheumatoid Arthritis in Spain

    PubMed Central

    Beresniak, Ariel; Ariza-Ariza, Rafael; Garcia-Llorente, Jose Francisco; Ramirez-Arellano, Antonio; Dupont, Danielle

    2011-01-01

    Background. The objective of this simulation model was to assess the cost-effectiveness of different biological treatment strategies based on levels of disease activity in Spain, in patients with moderate to severe active RA and an insufficient response to at least one anti-TNF agent. Methods. Clinically meaningful effectiveness criteria were defined using DAS28 scores: remission and Low Disease Activity State (LDAS) thresholds. Monte-Carlo simulations were conducted to assess cost-effectiveness over 2 years of four biological sequential strategies composed of anti-TNF agents (adalimumab, infliximab), abatacept or rituximab, in patients with moderate to severe active RA and an insufficient response to etanercept as first biological agent. Results. The sequential strategy including etanercept, abatacept and adalimumab appeared more efficacious over 2 years (102 days in LDAS) compared to the same sequence including rituximab as second biological option (82 days in LDAS). Cost-effectiveness ratios showed lower costs per day in LDAS with abatacept (427 €) compared to rituximab as second biological option (508 €). All comparisons were confirmed when using remission criteria. Conclusion. Model results suggest that in patients with an insufficient response to anti-TNF agents, the biological sequences including abatacept appear more efficacious and cost-effective than similar sequences including rituximab or cycled anti-TNF agents. PMID:21785694

  6. Pharmacophore-Based Similarity Scoring for DOCK

    PubMed Central

    2015-01-01

    Pharmacophore modeling incorporates geometric and chemical features of known inhibitors and/or targeted binding sites to rationally identify and design new drug leads. In this study, we have encoded a three-dimensional pharmacophore matching similarity (FMS) scoring function into the structure-based design program DOCK. Validation and characterization of the method are presented through pose reproduction, crossdocking, and enrichment studies. When used alone, FMS scoring dramatically improves pose reproduction success to 93.5% (∼20% increase) and reduces sampling failures to 3.7% (∼6% drop) compared to the standard energy score (SGE) across 1043 protein–ligand complexes. The combined FMS+SGE function further improves success to 98.3%. Crossdocking experiments using FMS and FMS+SGE scoring, for six diverse protein families, similarly showed improvements in success, provided proper pharmacophore references are employed. For enrichment, incorporating pharmacophores during sampling and scoring, in most cases, also yield improved outcomes when docking and rank-ordering libraries of known actives and decoys to 15 systems. Retrospective analyses of virtual screenings to three clinical drug targets (EGFR, IGF-1R, and HIVgp41) using X-ray structures of known inhibitors as pharmacophore references are also reported, including a customized FMS scoring protocol to bias on selected regions in the reference. Overall, the results and fundamental insights gained from this study should benefit the docking community in general, particularly researchers using the new FMS method to guide computational drug discovery with DOCK. PMID:25229837

  7. Do Examinees Understand Score Reports for Alternate Methods of Scoring Computer Based Tests?

    ERIC Educational Resources Information Center

    Whittaker, Tiffany A.; Williams, Natasha J.; Dodd, Barbara G.

    2011-01-01

    This study assessed the interpretability of scaled scores based on either number correct (NC) scoring for a paper-and-pencil test or one of two methods of scoring computer-based tests: an item pattern (IP) scoring method and a method based on equated NC scoring. The equated NC scoring method for computer-based tests was proposed as an alternative…

  8. Scores Based on Dangerous Responses to Multiple-Choice Items.

    ERIC Educational Resources Information Center

    Grosse, Martin E.

    1986-01-01

    Scores based on the number of correct answers were compared with scores based on dangerous responses to items in the same multiple choice test developed by American Board of Orthopaedic Surgery. Results showed construct validity for both sets of scores. However, both scores were redundant when evaluated by correlation coefficient. (Author/JAZ)

  9. Vinardo: A Scoring Function Based on Autodock Vina Improves Scoring, Docking, and Virtual Screening

    PubMed Central

    Villarreal, Marcos A.

    2016-01-01

    Autodock Vina is a very popular, and highly cited, open source docking program. Here we present a scoring function which we call Vinardo (Vina RaDii Optimized). Vinardo is based on Vina, and was trained through a novel approach, on state of the art datasets. We show that the traditional approach to train empirical scoring functions, using linear regression to optimize the correlation of predicted and experimental binding affinities, does not result in a function with optimal docking capabilities. On the other hand, a combination of scoring, minimization, and re-docking on carefully curated training datasets allowed us to develop a simplified scoring function with optimum docking performance. This article provides an overview of the development of the Vinardo scoring function, highlights its differences with Vina, and compares the performance of the two scoring functions in scoring, docking and virtual screening applications. Vinardo outperforms Vina in all tests performed, for all datasets analyzed. The Vinardo scoring function is available as an option within Smina, a fork of Vina, which is freely available under the GNU Public License v2.0 from http://smina.sf.net. Precompiled binaries, source code, documentation and a tutorial for using Smina to run the Vinardo scoring function are available at the same address. PMID:27171006

  10. Standardized Computer-based Organized Reporting of EEG: SCORE

    PubMed Central

    Beniczky, Sándor; Aurlien, Harald; Brøgger, Jan C; Fuglsang-Frederiksen, Anders; Martins-da-Silva, António; Trinka, Eugen; Visser, Gerhard; Rubboli, Guido; Hjalgrim, Helle; Stefan, Hermann; Rosén, Ingmar; Zarubova, Jana; Dobesberger, Judith; Alving, Jørgen; Andersen, Kjeld V; Fabricius, Martin; Atkins, Mary D; Neufeld, Miri; Plouin, Perrine; Marusic, Petr; Pressler, Ronit; Mameniskiene, Ruta; Hopfengärtner, Rüdiger; Emde Boas, Walter; Wolf, Peter

    2013-01-01

    The electroencephalography (EEG) signal has a high complexity, and the process of extracting clinically relevant features is achieved by visual analysis of the recordings. The interobserver agreement in EEG interpretation is only moderate. This is partly due to the method of reporting the findings in free-text format. The purpose of our endeavor was to create a computer-based system for EEG assessment and reporting, where the physicians would construct the reports by choosing from predefined elements for each relevant EEG feature, as well as the clinical phenomena (for video-EEG recordings). A working group of EEG experts took part in consensus workshops in Dianalund, Denmark, in 2010 and 2011. The faculty was approved by the Commission on European Affairs of the International League Against Epilepsy (ILAE). The working group produced a consensus proposal that went through a pan-European review process, organized by the European Chapter of the International Federation of Clinical Neurophysiology. The Standardised Computer-based Organised Reporting of EEG (SCORE) software was constructed based on the terms and features of the consensus statement and it was tested in the clinical practice. The main elements of SCORE are the following: personal data of the patient, referral data, recording conditions, modulators, background activity, drowsiness and sleep, interictal findings, “episodes” (clinical or subclinical events), physiologic patterns, patterns of uncertain significance, artifacts, polygraphic channels, and diagnostic significance. The following specific aspects of the neonatal EEGs are scored: alertness, temporal organization, and spatial organization. For each EEG finding, relevant features are scored using predefined terms. Definitions are provided for all EEG terms and features. SCORE can potentially improve the quality of EEG assessment and reporting; it will help incorporate the results of computer-assisted analysis into the report, it will make

  11. [The NAS system: Nursing Activities Score in mobile technology].

    PubMed

    Catalan, Vanessa Menezes; Silveira, Denise Tolfo; Neutzling, Agnes Ludwig; Martinato, Luísa Helena Machado; Borges, Gilberto Cabral de Mello

    2011-12-01

    The objective of this study was to present the computerized structure that enables the use of the Nursing Activities Score (NAS) in mobile technology. It is a project for the development of technology production based on software engineering, founded on the theory of systems development life cycle. The NAS system was built in two modules: the search module, which is accessed using a personal computer (PC), and Data Collection module, which is accessed through a mobile device (Smartphone). The NAS system was constructed to allow other forms, in addition to the NAS tool, to be included in the future. Thus, it is understood that the development of the NAS will bring nurses closer to mobile technology and facilitate their accessibility to the data of the instrument relating to patients, thus assisting in decision-making and in staffing to provide nursing care. PMID:22241201

  12. Effect of object identification algorithms on feature based verification scores

    NASA Astrophysics Data System (ADS)

    Weniger, Michael; Friederichs, Petra

    2015-04-01

    Many modern spatial verification techniques rely on feature identification algorithms. We study the importance of the choice of algorithm and its parameters for the resulting scores. SAL is used as an example to show that these choices have a statistically significant impact on the distributions of object dependent scores. Non-continuous operators used for feature identification are identified as the underlying reason for the observed stability issues, with implications for many feature based verification techniques.

  13. A coronary heart disease risk score based on patient-reported information.

    PubMed

    Mainous, Arch G; Koopman, Richelle J; Diaz, Vanessa A; Everett, Charles J; Wilson, Peter W F; Tilley, Barbara C

    2007-05-01

    To develop a simple, patient self-report-based coronary heart disease (CHD) risk score for adults without previously diagnosed CHD (Personal Heart Early Assessment Risk Tool [HEART] score), the Atherosclerosis Risk In Communities (ARIC) Study, a prospective cohort of subjects aged 45 to 64 years at baseline, was used to develop a measure for 10-year risk of CHD (n = 14,343). Variables evaluated for inclusion were age, history of diabetes mellitus, history of hypercholesterolemia, history of hypertension, family history of CHD, smoking, physical activity, and body mass index. The 10-year risk of CHD events was defined as myocardial infarction, fatal CHD, or cardiac procedure. The new measure was compared with the Framingham Risk Score (FRS) and European Systematic Coronary Risk Evaluation (SCORE). The Personal HEART score for men included age, diabetes, hypertension, hypercholesterolemia, smoking, physical activity, and family history. In men, the area under the receiver-operator characteristic curve for predicting 10-year CHD for the Personal HEART score (0.65) was significantly different from that for the FRS (0.69, p = 0.03), but not for the European SCORE (0.62, p = 0.12). The Personal HEART score for women included age, diabetes, hypertension, hypercholesterolemia, smoking, and body mass index. The area under the curve for the Personal HEART score (0.79) for women was not significantly different from that for the FRS (0.81, p = 0.42) and performed better than the European SCORE (0.69, p = 0.01). In conclusion, the Personal HEART score identifies 10-year risk for CHD based on self-report data, is similar in predictive ability to the FRS and European SCORE, and has the potential for easy self-assessment. PMID:17478150

  14. Why mental arithmetic counts: brain activation during single digit arithmetic predicts high school math scores.

    PubMed

    Price, Gavin R; Mazzocco, Michèle M M; Ansari, Daniel

    2013-01-01

    Do individual differences in the brain mechanisms for arithmetic underlie variability in high school mathematical competence? Using functional magnetic resonance imaging, we correlated brain responses to single digit calculation with standard scores on the Preliminary Scholastic Aptitude Test (PSAT) math subtest in high school seniors. PSAT math scores, while controlling for PSAT Critical Reading scores, correlated positively with calculation activation in the left supramarginal gyrus and bilateral anterior cingulate cortex, brain regions known to be engaged during arithmetic fact retrieval. At the same time, greater activation in the right intraparietal sulcus during calculation, a region established to be involved in numerical quantity processing, was related to lower PSAT math scores. These data reveal that the relative engagement of brain mechanisms associated with procedural versus memory-based calculation of single-digit arithmetic problems is related to high school level mathematical competence, highlighting the fundamental role that mental arithmetic fluency plays in the acquisition of higher-level mathematical competence. PMID:23283330

  15. Engineering Student Self-Assessment through Confidence-Based Scoring

    ERIC Educational Resources Information Center

    Yuen-Reed, Gigi; Reed, Kyle B.

    2015-01-01

    A vital aspect of an answer is the confidence that goes along with it. Misstating the level of confidence one has in the answer can have devastating outcomes. However, confidence assessment is rarely emphasized during typical engineering education. The confidence-based scoring method described in this study encourages students to both think about…

  16. Do medical students’ scores using different assessment instruments predict their scores in clinical reasoning using a computer-based simulation?

    PubMed Central

    Fida, Mariam; Kassab, Salah Eldin

    2015-01-01

    Purpose The development of clinical problem-solving skills evolves over time and requires structured training and background knowledge. Computer-based case simulations (CCS) have been used for teaching and assessment of clinical reasoning skills. However, previous studies examining the psychometric properties of CCS as an assessment tool have been controversial. Furthermore, studies reporting the integration of CCS into problem-based medical curricula have been limited. Methods This study examined the psychometric properties of using CCS software (DxR Clinician) for assessment of medical students (n=130) studying in a problem-based, integrated multisystem module (Unit IX) during the academic year 2011–2012. Internal consistency reliability of CCS scores was calculated using Cronbach’s alpha statistics. The relationships between students’ scores in CCS components (clinical reasoning, diagnostic performance, and patient management) and their scores in other examination tools at the end of the unit including multiple-choice questions, short-answer questions, objective structured clinical examination (OSCE), and real patient encounters were analyzed using stepwise hierarchical linear regression. Results Internal consistency reliability of CCS scores was high (α=0.862). Inter-item correlations between students’ scores in different CCS components and their scores in CCS and other test items were statistically significant. Regression analysis indicated that OSCE scores predicted 32.7% and 35.1% of the variance in clinical reasoning and patient management scores, respectively (P<0.01). Multiple-choice question scores, however, predicted only 15.4% of the variance in diagnostic performance scores (P<0.01), while students’ scores in real patient encounters did not predict any of the CCS scores. Conclusion Students’ scores in OSCE are the most important predictors of their scores in clinical reasoning and patient management using CCS. However, real patient

  17. Scoring functions for fragment-based drug discovery.

    PubMed

    Wang, Jui-Chih; Lin, Jung-Hsin

    2015-01-01

    Fragment-based drug design represents a challenge for computational drug design because almost inevitably fragments will be weak binders to the biomolecular targets of a specific disease, and the performances of the scoring functions for weak binders are usually poorer than those for the stronger binders. This protocol describes how to predict the binding modes and binding affinities of fragments towards their binding partner with our refined AutoDock scoring function incorporating a quantum chemical charge model, namely, the restrained electrostatic potential (RESP) model. This scoring function was calibrated by robust regression analysis and has been demonstrated to perform well for general classes of protein-ligand interactions and for weak binders (with root-mean square of error of about 2.1 kcal/mol). PMID:25709036

  18. Local immunization strategy based on the scores of nodes

    NASA Astrophysics Data System (ADS)

    Liu, Yang; Deng, Yong; Wei, Bo

    2016-01-01

    The problem of finding a better immunization strategy for controlling the spreading of the epidemic with limited resources has attracted much attention because of its great theoretical significance and wide application. In this paper, we propose a successful immunization strategy only depending on local information. Our strategy initializes the scores of nodes with the values of their degree and recalculates the score of a certain immunized node based on its local information, and then replaces the certain immunized node with its nonimmunized higher-score neighbor. To test the effectiveness of the proposed strategy, we conduct the experiments on several synthetic networks and real-world networks. The results show that the proposed strategy outperforms the existing well-known local strategies, even the degree centrality targeted strategy.

  19. Score-based likelihood ratios for handwriting evidence.

    PubMed

    Hepler, Amanda B; Saunders, Christopher P; Davis, Linda J; Buscaglia, JoAnn

    2012-06-10

    Score-based approaches for computing forensic likelihood ratios are becoming more prevalent in the forensic literature. When two items of evidential value are entangled via a scorefunction, several nuances arise when attempting to model the score behavior under the competing source-level propositions. Specific assumptions must be made in order to appropriately model the numerator and denominator probability distributions. This process is fairly straightforward for the numerator of the score-based likelihood ratio, entailing the generation of a database of scores obtained by pairing items of evidence from the same source. However, this process presents ambiguities for the denominator database generation - in particular, how best to generate a database of scores between two items of different sources. Many alternatives have appeared in the literature, three of which we will consider in detail. They differ in their approach to generating denominator databases, by pairing (1) the item of known source with randomly selected items from a relevant database; (2) the item of unknown source with randomly generated items from a relevant database; or (3) two randomly generated items. When the two items differ in type, perhaps one having higher information content, these three alternatives can produce very different denominator databases. While each of these alternatives has appeared in the literature, the decision of how to generate the denominator database is often made without calling attention to the subjective nature of this process. In this paper, we compare each of the three methods (and the resulting score-based likelihood ratios), which can be thought of as three distinct interpretations of the denominator proposition. Our goal in performing these comparisons is to illustrate the effect that subtle modifications of these propositions can have on inferences drawn from the evidence evaluation procedure. The study was performed using a data set composed of cursive writing

  20. From scores to face templates: a model-based approach.

    PubMed

    Mohanty, Pranab; Sarkar, Sudeep; Kasturi, Rangachar

    2007-12-01

    Regeneration of templates from match scores has security and privacy implications related to any biometric authentication system. We propose a novel paradigm to reconstruct face templates from match scores using a linear approach. It proceeds by first modeling the behavior of the given face recognition algorithm by an affine transformation. The goal of the modeling is to approximate the distances computed by a face recognition algorithm between two faces by distances between points, representing these faces, in an affine space. Given this space, templates from an independent image set (break-in) are matched only once with the enrolled template of the targeted subject and match scores are recorded. These scores are then used to embed the targeted subject in the approximating affine (non-orthogonal) space. Given the coordinates of the targeted subject in the affine space, the original template of the targeted subject is reconstructed using the inverse of the affine transformation. We demonstrate our ideas using three, fundamentally different, face recognition algorithms: Principal Component Analysis (PCA) with Mahalanobis cosine distance measure, Bayesian intra-extrapersonal classifier (BIC), and a feature-based commercial algorithm. To demonstrate the independence of the break-in set with the gallery set, we select face templates from two different databases: Face Recognition Grand Challenge (FRGC) and Facial Recognition Technology (FERET) Database (FERET). With an operational point set at 1 percent False Acceptance Rate (FAR) and 99 percent True Acceptance Rate (TAR) for 1,196 enrollments (FERET gallery), we show that at most 600 attempts (score computations) are required to achieve a 73 percent chance of breaking in as a randomly chosen target subject for the commercial face recognition system. With similar operational set up, we achieve a 72 percent and 100 percent chance of breaking in for the Bayesian and PCA based face recognition systems, respectively. With

  1. Liver Stiffness Measurement-Based Scoring System for Significant Inflammation Related to Chronic Hepatitis B

    PubMed Central

    Hong, Mei-Zhu; Zhang, Ru-Mian; Chen, Guo-Liang; Huang, Wen-Qi; Min, Feng; Chen, Tian; Xu, Jin-Chao; Pan, Jin-Shui

    2014-01-01

    Objectives Liver biopsy is indispensable because liver stiffness measurement alone cannot provide information on intrahepatic inflammation. However, the presence of fibrosis highly correlates with inflammation. We constructed a noninvasive model to determine significant inflammation in chronic hepatitis B patients by using liver stiffness measurement and serum markers. Methods The training set included chronic hepatitis B patients (n = 327), and the validation set included 106 patients; liver biopsies were performed, liver histology was scored, and serum markers were investigated. All patients underwent liver stiffness measurement. Results An inflammation activity scoring system for significant inflammation was constructed. In the training set, the area under the curve, sensitivity, and specificity of the fibrosis-based activity score were 0.964, 91.9%, and 90.8% in the HBeAg(+) patients and 0.978, 85.0%, and 94.0% in the HBeAg(−) patients, respectively. In the validation set, the area under the curve, sensitivity, and specificity of the fibrosis-based activity score were 0.971, 90.5%, and 92.5% in the HBeAg(+) patients and 0.977, 95.2%, and 95.8% in the HBeAg(−) patients. The liver stiffness measurement-based activity score was comparable to that of the fibrosis-based activity score in both HBeAg(+) and HBeAg(−) patients for recognizing significant inflammation (G ≥3). Conclusions Significant inflammation can be accurately predicted by this novel method. The liver stiffness measurement-based scoring system can be used without the aid of computers and provides a noninvasive alternative for the prediction of chronic hepatitis B-related significant inflammation. PMID:25360742

  2. Implementation of the Simple Endoscopic Activity Score in Crohn's Disease

    PubMed Central

    Koutroumpakis, Efstratios; Katsanos, Konstantinos H.

    2016-01-01

    Simple Endoscopic Score for Crohn's Disease (SES-CD) was developed as an attempt to simplify Crohn's Disease Endoscopic Index of Severity (CDEIS). Since it was constructed from CDEIS, SES-CD performs comparably but also carries similar limitations. Several studies have utilized SES-CD scoring to describe disease severity or response to therapy. Some of them used SES-CD score as a continuous variable while others utilized certain cutoff values to define severity grades. All SES-CD cutoff values reported in published clinical trials were empirically selected by experts. Although in most of the studies that used SEC-CD scoring to define disease severity, a score <3 reflected inactive disease, no study is using score 0 to predefine inactivity. Studies applying SES-CD to define response to treatment used score 0. There is no optimal SES-CD cut-off for endoscopic remission. The quantification of mucosal healing using SES-CD scoring has not been standardized yet. As the definition of mucosal healing by SES-CD is unset, the concept of deep remission is also still evolving. Serum and fecal biomarkers as well as new radiologic imaging techniques are complementary to SES-CD. Current practice as well as important changes in endoscopy should be taken into consideration when defining SES-CD cutoffs. The optimal timing of SES-CD scoring to assess mucosal healing is not defined yet. To conclude, SES-CD represents a valuable tool. However, a consensus agreement on its optimal use is required. PMID:27184635

  3. Inertia based functional scoring of the shoulder in clinical practice.

    PubMed

    Körver, R J P; Heyligers, I C; Samijo, S K; Grimm, B

    2014-02-01

    Shoulder-related dysfunction is the second most common musculoskeletal disorder and is responsible for an increasing burden on health-care systems. Commonly used clinical outcome scores suffer from subjectivity, pain dominance and a ceiling effect. Objective functional measurement has been identified as a relevant issue in clinical rehabilitation. In recognition of this goal simple techniques for routine clinical application have been investigated with some success. Inertia based motion analysis (IMA) is a new generation of objective outcome assessment tool; it can produce objective movement parameters while being fast, cheap and easy to operate. This study investigates if a simple IMA shoulder test is suitable as a functional outcome measure for routine clinical follow-up. We measured 100 healthy subjects and 50 patients with confirmed unilateral shoulder pathology. Two motion tasks were performed on both shoulders and two simple motion parameters based on angular rate and acceleration were calculated. Patients were also assessed by the disability of arm, shoulder and hand (DASH) and the simple shoulder test. IMA produced high intra- (ICC = 0.94) and inter-assessor reliability (ICC = 0.90). Asymmetry was >3 times higher in patients than in healthy controls (p < 0.01). Healthy and pathological subjects could be distinguished with high diagnostic sensitivity (>84.0%) and specificity (>81.0%). There was a weak correlation between the IMA shoulder score and the clinical questionnaires (Pearson R < 0.25), as it may add an objective functional dimension to outcome assessment. The fast assessment (t < 5 min) of a simple motion task makes it workable for routine clinical follow-up. The IMA shoulder test adds objective information on functional capacity to the clinical scores and may help the physician in his decision-making, follow-up of treatment, effect of training and possibly lead to the development of new therapeutic interventions. PMID:24398361

  4. BgN-Score and BsN-Score: Bagging and boosting based ensemble neural networks scoring functions for accurate binding affinity prediction of protein-ligand complexes

    PubMed Central

    2015-01-01

    Background Accurately predicting the binding affinities of large sets of protein-ligand complexes is a key challenge in computational biomolecular science, with applications in drug discovery, chemical biology, and structural biology. Since a scoring function (SF) is used to score, rank, and identify drug leads, the fidelity with which it predicts the affinity of a ligand candidate for a protein's binding site has a significant bearing on the accuracy of virtual screening. Despite intense efforts in developing conventional SFs, which are either force-field based, knowledge-based, or empirical, their limited predictive power has been a major roadblock toward cost-effective drug discovery. Therefore, in this work, we present novel SFs employing a large ensemble of neural networks (NN) in conjunction with a diverse set of physicochemical and geometrical features characterizing protein-ligand complexes to predict binding affinity. Results We assess the scoring accuracies of two new ensemble NN SFs based on bagging (BgN-Score) and boosting (BsN-Score), as well as those of conventional SFs in the context of the 2007 PDBbind benchmark that encompasses a diverse set of high-quality protein families. We find that BgN-Score and BsN-Score have more than 25% better Pearson's correlation coefficient (0.804 and 0.816 vs. 0.644) between predicted and measured binding affinities compared to that achieved by a state-of-the-art conventional SF. In addition, these ensemble NN SFs are also at least 19% more accurate (0.804 and 0.816 vs. 0.675) than SFs based on a single neural network that has been traditionally used in drug discovery applications. We further find that ensemble models based on NNs surpass SFs based on the decision-tree ensemble technique Random Forests. Conclusions Ensemble neural networks SFs, BgN-Score and BsN-Score, are the most accurate in predicting binding affinity of protein-ligand complexes among the considered SFs. Moreover, their accuracies are even higher

  5. Toward Development of a Fibromyalgia Responder Index and Disease Activity Score: OMERACT Module Update

    PubMed Central

    Mease, PJ; Clauw, DJ; Christensen, R; Crofford, L; Gendreau, M; Martin, SA; Simon, L; Strand, V; Williams, DA; Arnold, LM

    2012-01-01

    Following development of the core domain set for fibromyalgia (FM) in OMERACT 7–9, the FM working group has progressed toward the development of an FM responder index and a disease activity score based on these domains, utilizing outcome indices of these domains from archived randomized clinical trials (RCTs) in FM. Possible clinical domains that could be included in a responder index and disease activity score include: pain, fatigue, sleep disturbance, cognitive dysfunction, mood disturbance, tenderness, stiffness, and functional impairment. Outcome measures for these domains demonstrate good to adequate psychometric properties, although measures of cognitive dysfunction need to be further developed. The approach used in the development of responder indices and disease activity scores for rheumatoid arthritis and ankylosing spondylitis represent heuristic models for our work, but FM is challenging in that there is no clear algorithm of treatment that defines disease activity based on treatment decisions, nor are there objective markers that define thresholds of severity or response to treatment. The process of developing candidate dichotomous responder definitions and continuous quantitative disease activity measures is described, as is participant discussion that transpired at OMERACT 10. Final results of this work will be published in a separate manuscript pending completion of analyses. PMID:21724721

  6. Correlation between clinical and MRI disease activity scores in axial spondyloarthritis.

    PubMed

    MacKay, James W; Aboelmagd, Sharief; Gaffney, J Karl

    2015-09-01

    Magnetic resonance (MR) imaging-based disease activity scores (DAS) in axial spondyloarthritis (axSpA) are rarely employed in the normal clinical setting, whereas clinical DAS are used routinely to monitor disease activity and set thresholds for biologic treatment. The objectives of this study were to evaluate the correlation between MR and clinical DAS in a general axSpA outpatient population and to assess the difference in MR DAS in individuals with high and low clinical DAS. This was a prospective, cross-sectional observational study. Forty participants with axSpA who presented for MR of the whole spine and sacroiliac joints as part of ongoing management were included. Completion of Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Ankylosing Spondylitis Disease Activity Score (ASDAS) was performed at the time of MR examination. MR images were scored by two independent observers using the Spondyloarthritis Research Consortium of Canada (SPARCC) MR DAS. There were weak, non-significant correlations between total SPARCC score and BASDAI (r = 0.18, p = 0.26), ASDAS using erythrocyte sedimentation rate (ASDAS-ESR) (r = 0.31, p = 0.07) and ASDAS using C-reactive protein level (ASDAS-CRP) (r = 0.31, p = 0.05). There was no significant difference in the SPARCC score of participants with high and low clinical DAS. MR DAS may provide information about disease activity not provided by the current standard of clinical DAS and may be considered as a useful adjunct in clinical practice. PMID:25894437

  7. Auditory Short-Term Memory Activation during Score Reading

    PubMed Central

    Simoens, Veerle L.; Tervaniemi, Mari

    2013-01-01

    Performing music on the basis of reading a score requires reading ahead of what is being played in order to anticipate the necessary actions to produce the notes. Score reading thus not only involves the decoding of a visual score and the comparison to the auditory feedback, but also short-term storage of the musical information due to the delay of the auditory feedback during reading ahead. This study investigates the mechanisms of encoding of musical information in short-term memory during such a complicated procedure. There were three parts in this study. First, professional musicians participated in an electroencephalographic (EEG) experiment to study the slow wave potentials during a time interval of short-term memory storage in a situation that requires cross-modal translation and short-term storage of visual material to be compared with delayed auditory material, as it is the case in music score reading. This delayed visual-to-auditory matching task was compared with delayed visual-visual and auditory-auditory matching tasks in terms of EEG topography and voltage amplitudes. Second, an additional behavioural experiment was performed to determine which type of distractor would be the most interfering with the score reading-like task. Third, the self-reported strategies of the participants were also analyzed. All three parts of this study point towards the same conclusion according to which during music score reading, the musician most likely first translates the visual score into an auditory cue, probably starting around 700 or 1300 ms, ready for storage and delayed comparison with the auditory feedback. PMID:23326487

  8. Auditory short-term memory activation during score reading.

    PubMed

    Simoens, Veerle L; Tervaniemi, Mari

    2013-01-01

    Performing music on the basis of reading a score requires reading ahead of what is being played in order to anticipate the necessary actions to produce the notes. Score reading thus not only involves the decoding of a visual score and the comparison to the auditory feedback, but also short-term storage of the musical information due to the delay of the auditory feedback during reading ahead. This study investigates the mechanisms of encoding of musical information in short-term memory during such a complicated procedure. There were three parts in this study. First, professional musicians participated in an electroencephalographic (EEG) experiment to study the slow wave potentials during a time interval of short-term memory storage in a situation that requires cross-modal translation and short-term storage of visual material to be compared with delayed auditory material, as it is the case in music score reading. This delayed visual-to-auditory matching task was compared with delayed visual-visual and auditory-auditory matching tasks in terms of EEG topography and voltage amplitudes. Second, an additional behavioural experiment was performed to determine which type of distractor would be the most interfering with the score reading-like task. Third, the self-reported strategies of the participants were also analyzed. All three parts of this study point towards the same conclusion according to which during music score reading, the musician most likely first translates the visual score into an auditory cue, probably starting around 700 or 1300 ms, ready for storage and delayed comparison with the auditory feedback. PMID:23326487

  9. Functional Independence Score in Haemophilia: a new performance-based instrument to measure disability.

    PubMed

    Poonnoose, P M; Manigandan, C; Thomas, R; Shyamkumar, N K; Kavitha, M L; Bhattacharji, S; Srivastava, A

    2005-11-01

    Morbidity in haemophilia has been described predominantly in terms of musculoskeletal dysfunction and assessed by the clinical and radiological joint scores. These scores document changes in a particular joint, but do not reflect the impact of these changes on the individual in terms of his overall musculoskeletal function. Several self-assessment instruments have been used to measure musculoskeletal function but none have been specifically validated for use in haemophilia. In order to objectively assess musculoskeletal function of patients with haemophilia, we developed Functional Independence Score in Hemophilia (FISH), a performance-based instrument. FISH measures the patient's independence in performing seven activities under three categories: self-care (grooming and eating, bathing and dressing), transfers (chair and floor) and mobility (walking and step climbing). Each function is graded from 1 to 4 depending on the amount of assistance needed in performing the function. We evaluated 35 patients who were over 10 years old and had had at least three major bleeds per year. All subjects were scored for clinical (World Federation of Hemophilia, WFH score) and radiological changes (Pettersson's score). Functional independence of the patient was assessed using the Stanford Health Assessment Questionnaire (HAQ) and the FISH. Correlation of the FISH score was modest with both the WFH clinical score (r = -0.68) and the radiological score (r = -0.44). While there was good correlation between FISH and HAQ (r = -0.90), FISH had better internal consistency than HAQ (Cronbach's alpha 0.83 vs. 0.66). FISH appears to be a promising disease-specific instrument for assessing overall musculoskeletal function in haemophilia. It requires evaluation in different patient populations. PMID:16236109

  10. Fruit classification based on weighted score-level feature fusion

    NASA Astrophysics Data System (ADS)

    Kuang, Hulin; Hang Chan, Leanne Lai; Liu, Cairong; Yan, Hong

    2016-01-01

    We describe an object classification method based on weighted score-level feature fusion using learned weights. Our method is able to recognize 20 object classes in a customized fruit dataset. Although the fusion of multiple features is commonly used to distinguish variable object classes, the optimal combination of features is not well defined. Moreover, in these methods, most parameters used for feature extraction are not optimized and the contribution of each feature to an individual class is not considered when determining the weight of the feature. Our algorithm relies on optimizing a single feature during feature selection and learning the weight of each feature for an individual class from the training data using a linear support vector machine before the features are linearly combined with the weights at the score level. The optimal single feature is selected using cross-validation. The optimal combination of features is explored and tested experimentally using a customized fruit dataset with 20 object classes and a variety of complex backgrounds. The experiment results show that the proposed feature fusion method outperforms four state-of-the-art fruit classification algorithms and improves the classification accuracy when compared with some state-of-the-art feature fusion methods.

  11. "Score the Core" Web-based pathologist training tool improves the accuracy of breast cancer IHC4 scoring.

    PubMed

    Engelberg, Jesse A; Retallack, Hanna; Balassanian, Ronald; Dowsett, Mitchell; Zabaglo, Lila; Ram, Arishneel A; Apple, Sophia K; Bishop, John W; Borowsky, Alexander D; Carpenter, Philip M; Chen, Yunn-Yi; Datnow, Brian; Elson, Sarah; Hasteh, Farnaz; Lin, Fritz; Moatamed, Neda A; Zhang, Yanhong; Cardiff, Robert D

    2015-11-01

    Hormone receptor status is an integral component of decision-making in breast cancer management. IHC4 score is an algorithm that combines hormone receptor, HER2, and Ki-67 status to provide a semiquantitative prognostic score for breast cancer. High accuracy and low interobserver variance are important to ensure the score is accurately calculated; however, few previous efforts have been made to measure or decrease interobserver variance. We developed a Web-based training tool, called "Score the Core" (STC) using tissue microarrays to train pathologists to visually score estrogen receptor (using the 300-point H score), progesterone receptor (percent positive), and Ki-67 (percent positive). STC used a reference score calculated from a reproducible manual counting method. Pathologists in the Athena Breast Health Network and pathology residents at associated institutions completed the exercise. By using STC, pathologists improved their estrogen receptor H score and progesterone receptor and Ki-67 proportion assessment and demonstrated a good correlation between pathologist and reference scores. In addition, we collected information about pathologist performance that allowed us to compare individual pathologists and measures of agreement. Pathologists' assessment of the proportion of positive cells was closer to the reference than their assessment of the relative intensity of positive cells. Careful training and assessment should be used to ensure the accuracy of breast biomarkers. This is particularly important as breast cancer diagnostics become increasingly quantitative and reproducible. Our training tool is a novel approach for pathologist training that can serve as an important component of ongoing quality assessment and can improve the accuracy of breast cancer prognostic biomarkers. PMID:26410019

  12. Reliability of Accelerometer Scores for Measuring Sedentary and Physical Activity Behaviors in Persons With Multiple Sclerosis.

    PubMed

    Klaren, Rachel E; Hubbard, Elizabeth A; Zhu, Weimo; Motl, Robert W

    2016-04-01

    This brief research note examined the reliability of scores from an accelerometer as measures of sedentary and physical activity behaviors in persons with multiple sclerosis (MS). The analysis was performed on a combined data set from 2 previous longitudinal investigations of physical activity in MS. We focused on the number of days required to reliably estimate sedentary behavior, based on time spent in sedentary behavior per day and number of sedentary breaks, number of long sedentary bouts, and average length of sedentary bouts per day. We further examined the number of days required to reliably estimate physical activity behavior, based on time spent in light and moderate-to-vigorous physical activity and average length of activity bouts per day. Between 4-6 days of monitoring and 3-7 days of monitoring were necessary for good reliability of scores from all sedentary outcomes and physical activity outcomes, respectively. These results should guide research and practice examining sedentary and physical activity behaviors using accelerometry in persons with MS. PMID:27078272

  13. Average Rank-Based Score to Measure Deregulation of Molecular Pathway Gene Sets

    PubMed Central

    Zhang, Wei

    2011-01-01

    Background Deregulation of biological pathways has been shown to be involved in the turmorigenesis of a variety of cancers. The co-regulation of pathways in tumor and normal tissues has not been studied in a systematic manner. Results In this study we propose a novel statistic named AR-score (average rank based score) to measure pathway activities based on microarray gene expression profiles. We calculate and compare the AR-scores of pathways in microarray datasets containing expression profiles for a wide range of cancer types as well as the corresponding normal tissues. We find that many pathways undergo significant activity changes in tumors with respect to normal tissues. AR-scores for a small subset of pathways are capable of distinguishing tumor from normal tissues or classifying tumor subtypes. In normal tissues many pathways are highly correlated in their activities, whereas their correlations reduce significantly in tumors and cancer cell lines. The co-expression of genes in the same pathways was also significantly perturbed in tumors. Conclusions The co-regulation of genes in the same pathways and co-regulation of different pathways are significantly perturbed in tumors versus normal tissues. Our method provides a useful tool for better understanding the mechanistic changes in tumors, which can also be used for exploring other biological problems. PMID:22096597

  14. Development of the Knowledge-based & Empirical Combined Scoring Algorithm (KECSA) to Score Protein-Ligand Interactions

    PubMed Central

    Zheng, Zheng

    2013-01-01

    We describe a novel knowledge-based protein-ligand scoring function that employs a new definition for the reference state, allowing us to relate a statistical potential to a Lennard-Jones (LJ) potential. In this way, the LJ potential parameters were generated from protein-ligand complex structural data contained in the PDB. Forty-nine types of atomic pairwise interactions were derived using this method, which we call the knowledge-based and empirical combined scoring algorithm (KECSA). Two validation benchmarks were introduced to test the performance of KECSA. The first validation benchmark included two test sets that address the training-set and enthalpy/entropy of KECSA The second validation benchmark suite included two large-scale and five small-scale test sets to compare the reproducibility of KECSA with respect to two empirical score functions previously developed in our laboratory (LISA and LISA+), as well as to other well-known scoring methods. Validation results illustrate that KECSA shows improved performance in all test sets when compared with other scoring methods especially in its ability to minimize the RMSE. LISA and LISA+ displayed similar performance using the correlation coefficient and Kendall τ as the metric of quality for some of the small test sets. Further pathways for improvement are discussed which would KECSA more sensitive to subtle changes in ligand structure. PMID:23560465

  15. Prediction of State Mandated Assessment Mathematics Scores from Computer Based Mathematics and Reading Preview Assessments

    ERIC Educational Resources Information Center

    Costa-Guerra, Boris

    2012-01-01

    The study sought to understand whether MAPs computer based assessment of math and language skills using MAPs reading scores can predict student scores on the NMSBA. A key question was whether or not the prediction can be improved by including student language skill scores. The study explored the effectiveness of computer based preview assessments…

  16. Customer Credit Scoring Method Based on the SVDD Classification Model with Imbalanced Dataset

    NASA Astrophysics Data System (ADS)

    Tian, Bo; Nan, Lin; Zheng, Qin; Yang, Lei

    Customer credit scoring is a typical class of pattern classification problem with imbalanced dataset. A new customer credit scoring method based on the support vector domain description (SVDD) classification model was proposed in this paper. Main techniques of customer credit scoring were reviewed. The SVDD model with imbalanced dataset was analyzed and the predication method of customer credit scoring based on the SVDD model was proposed. Our experimental results confirm that our approach is effective in ranking and classifying customer credit.

  17. Nursing Activities Score: nursing work load in a burns Intensive Care Unit1

    PubMed Central

    Camuci, Marcia Bernadete; Martins, Júlia Trevisan; Cardeli, Alexandrina Aparecida Maciel; Robazzi, Maria Lúcia do Carmo Cruz

    2014-01-01

    Objective to evaluate the nursing work load in a Burns Intensive Care Unit according to the Nursing Activities Score. Method an exploratory, descriptive cross-sectional study with a quantitative approach. The Nursing Activities Score was used for data collection between October 2011 and May 2012, totalling 1,221 measurements, obtained from 50 patients' hospital records. Data for qualitative variables was described in tables; for the quantitative variables, calculations using statistical measurements were used. Results the mean score for the Nursing Activities Score was 70.4% and the median was 70.3%, corresponding to the percentage of the time spent on direct care to the patient in 24 hours. Conclusion the Nursing Activities Score provided information which involves the process of caring for patients hospitalized in a Burns Intensive Care Unit, and indicated that there is a high work load for the nursing team of the sector studied. PMID:26107842

  18. A Bad Idea: National Standards Based on Test Scores

    ERIC Educational Resources Information Center

    Baker, Keith

    2010-01-01

    The justification for national standards is that test scores predict a nation's future economic success. There is no evidence that supports this assumption. There is evidence that it is wrong. For more than half a century, reformers have been trying to fix our schools with little success. The obvious conclusion is that something that can't be…

  19. Genetic Parameter Estimates Among Scale Activity Score and Farrowing Disposition with Reproductive Traits in Swine

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Scale activity score (SA) at 5 months of age ranged from 1 to 5. Farrowing disposition score (FD) ranged from 1 to 3. Reproductive traits included age at puberty (AP), number born alive (NBA), number born dead (NBD), litter birth weight (LBW), average birth weight (ABW), number weaned adjusted for c...

  20. SCORE/ACE Counselor Handbook. Service Corps of Retired Executives. Active Corps of Executives.

    ERIC Educational Resources Information Center

    Landsverk, Arvel; And Others

    This counselor handbook is intended to help Service Corps of Retired Executives/Active Corps of Executives (SCORE/ACE) counselors to plan and conduct counseling services more effectively. Included in the introductory section are an overview of the SCORE/ACE counseling program, a discussion of what the counselor does, directions for completing…

  1. Clinical Implication of Inflammation-Based Prognostic Score in Pancreatic Cancer

    PubMed Central

    Yamada, Suguru; Fujii, Tsutomu; Yabusaki, Norimitsu; Murotani, Kenta; Iwata, Naoki; Kanda, Mitsuro; Tanaka, Chie; Nakayama, Goro; Sugimoto, Hiroyuki; Koike, Masahiko; Fujiwara, Michitaka; Kodera, Yasuhiro

    2016-01-01

    Abstract A variety of systemic inflammation-based prognostic scores have been explored; however, there has been no study to clarify which score could best reflect survival in resected pancreatic cancer patients. Between 2002 and 2014, 379 consecutive patients who underwent curative resection of pancreatic cancer were enrolled. The Glasgow Prognostic Score (GPS), modified GPS (mGPS), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), prognostic index (PI), and prognostic nutritional index (PNI) scores for each patient were calculated. Survival of each score was evaluated, and correlations between the score selected on the basis of the prognostic significance and various clinicopathological factors were analyzed. In the analysis of the GPS, the median survival time (MST) was 28.1 months for score 0, 25.6 for score 1, and 17.0 for score 2. As for mGPS, the MST was 25.8 months for score 0, 27.7 for score 1, and 17.0 for score 2. Both scores were found to be significant. On the contrary, there were no statistical differences in MST between various scores obtained using the NLR, PLR, PI, or PNI. Multivariate analysis revealed that lymph node metastasis, positive peritoneal washing cytology, and a GPS score of 2 were significant prognostic factors. There was also statistically significant correlation between the GPS score and tumor location (head), tumor size (≥2.0 cm), bile duct invasion, and duodenal invasion. Our study demonstrated that the GPS could be an independent predictive marker and was superior to other inflammation-based prognostic scores in patients with resected pancreatic cancer. PMID:27149487

  2. Graphlet signature-based scoring method to estimate protein–ligand binding affinity

    PubMed Central

    Singh, Omkar; Sawariya, Kunal; Aparoy, Polamarasetty

    2014-01-01

    Over the years, various computational methodologies have been developed to understand and quantify receptor–ligand interactions. Protein–ligand interactions can also be explained in the form of a network and its properties. The ligand binding at the protein-active site is stabilized by formation of new interactions like hydrogen bond, hydrophobic and ionic. These non-covalent interactions when considered as links cause non-isomorphic sub-graphs in the residue interaction network. This study aims to investigate the relationship between these induced sub-graphs and ligand activity. Graphlet signature-based analysis of networks has been applied in various biological problems; the focus of this work is to analyse protein–ligand interactions in terms of neighbourhood connectivity and to develop a method in which the information from residue interaction networks, i.e. graphlet signatures, can be applied to quantify ligand affinity. A scoring method was developed, which depicts the variability in signatures adopted by different amino acids during inhibitor binding, and was termed as GSUS (graphlet signature uniqueness score). The score is specific for every individual inhibitor. Two well-known drug targets, COX-2 and CA-II and their inhibitors, were considered to assess the method. Residue interaction networks of COX-2 and CA-II with their respective inhibitors were used. Only hydrogen bond network was considered to calculate GSUS and quantify protein–ligand interaction in terms of graphlet signatures. The correlation of the GSUS with pIC50 was consistent in both proteins and better in comparison to the Autodock results. The GSUS scoring method was better in activity prediction of molecules with similar structure and diverse activity and vice versa. This study can be a major platform in developing approaches that can be used alone or together with existing methods to predict ligand affinity from protein–ligand complexes. PMID:26064572

  3. 42 CFR 414.1275 - Value-based payment modifier quality-tiering scoring methodology.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... beneficiary risk scores. (2) The following value-based payment modifier percentages apply to the CY 2016... value-based payment modifier that have an attributed beneficiary population with an average risk score... 42 Public Health 3 2014-10-01 2014-10-01 false Value-based payment modifier...

  4. Direct and indirect costs associated with ankylosing spondylitis and related disease activity scores in Turkey.

    PubMed

    Akkoç, Nurullah; Direskeneli, Haner; Erdem, Hakan; Gül, Ahmet; Kabasakal, Yasemin; Kiraz, Sedat; Balkan Tezer, Dilara; Hacıbedel, Başak; Hamuryudan, Vedat

    2015-09-01

    This study assessed quality of life, direct and indirect healthcare costs related to ankylosing spondylitis (AS). This study included 650 prevalent AS patients visiting seven centers at tertiary healthcare institutions in Turkey who were interviewed using a standard questionnaire to determine annual direct and indirect healthcare costs. Eligible patients were age ≥18 years with AS for at least 12 months. Direct costs were categorized as inpatient, outpatient and pharmacy, and AS-related consultation. Indirect costs were categorized as workday loss, additional AS-related costs, and caregiver costs. Clinical outcome measures were obtained, including Patients' Global Disease Activity (Pt-GDA); visual analog scale (Pain-VAS) for pain; Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Functional Index (BASFI), and Metrology Index (BASMI) scores, and EuroQoL 5 dimension (EQ-5D) health status survey scores. Mean (€,335.20) and median (€5,671.00) annual costs per patient were calculated. Pharmacy costs (€4,032.73) were highest among overall expenditures, followed by additional AS-related consultation (€2,480.38), outpatient (€225.02), and inpatient costs (€29.98). Over half of AS patients (54.8 %) experienced work loss. Related average annual costs were €414.16, based on income level. 10.3 % of AS patients incurred an additional €2,008.07 in 1 year. 6.8 % of patients required caregivers and incurred €778.70 in average annual patient paid costs. Mean Pt-GDA, Pain-VAS, EQ-5D, BASDAI, BASFI, and BASMI scores were 4.4, 40.5, 62.7, 3.6, 3.1, and 2.9, respectively. Direct and indirect AS-related costs are high and represent a considerable economic burden on Turkish AS patients. PMID:25749712

  5. Natural history of alkaptonuria revisited: analyses based on scoring systems.

    PubMed

    Ranganath, Lakshminarayan R; Cox, Trevor F

    2011-12-01

    Increased circulating homogentisic acid in body fluids occurs in alkaptonuria (AKU) due to lack of enzyme homogentisate dioxygenase leading in turn to conversion of HGA to a pigmented melanin-like polymer, known as ochronosis. The tissue damage in AKU is due to ochronosis. A potential treatment, a drug called nitisinone, to decrease formation of HGA is available. However, deploying nitisinone effectively requires its administration at the most optimal time in the natural history. AKU has a long apparent latent period before overt ochronosis develops. The rate of change of ochronosis and its consequences over time following its recognition has not been fully described in any quantitative manner. Two potential tools are described that were used to quantitate disease burden in AKU. One tool describes scoring the clinical features that includes clinical assessments, investigations and questionnaires in 15 patients with AKU. The second tool describes a scoring system that only includes items obtained from questionnaires in 44 people with AKU. Analysis of the data reveals distinct phases of the disease, a pre-ochronotic phase and an ochronotic phase. The ochronotic phase appears to demonstrate an earlier slower progression followed by a rapidly progressive phase. The rate of change of the disease will have implications for monitoring the course of the disease as well as decide on the most appropriate time that treatment should be started for it to be effective either in prevention or arrest of the disease. PMID:21748407

  6. Z-Score-Based Modularity for Community Detection in Networks

    PubMed Central

    Miyauchi, Atsushi; Kawase, Yasushi

    2016-01-01

    Identifying community structure in networks is an issue of particular interest in network science. The modularity introduced by Newman and Girvan is the most popular quality function for community detection in networks. In this study, we identify a problem in the concept of modularity and suggest a solution to overcome this problem. Specifically, we obtain a new quality function for community detection. We refer to the function as Z-modularity because it measures the Z-score of a given partition with respect to the fraction of the number of edges within communities. Our theoretical analysis shows that Z-modularity mitigates the resolution limit of the original modularity in certain cases. Computational experiments using both artificial networks and well-known real-world networks demonstrate the validity and reliability of the proposed quality function. PMID:26808270

  7. Z-Score-Based Modularity for Community Detection in Networks.

    PubMed

    Miyauchi, Atsushi; Kawase, Yasushi

    2016-01-01

    Identifying community structure in networks is an issue of particular interest in network science. The modularity introduced by Newman and Girvan is the most popular quality function for community detection in networks. In this study, we identify a problem in the concept of modularity and suggest a solution to overcome this problem. Specifically, we obtain a new quality function for community detection. We refer to the function as Z-modularity because it measures the Z-score of a given partition with respect to the fraction of the number of edges within communities. Our theoretical analysis shows that Z-modularity mitigates the resolution limit of the original modularity in certain cases. Computational experiments using both artificial networks and well-known real-world networks demonstrate the validity and reliability of the proposed quality function. PMID:26808270

  8. Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons

    PubMed Central

    Dyagilev, Kirill; Saria, Suchi

    2015-01-01

    Sepsis is one of the leading causes of death in the United States. Early administration of treatment has been shown to decrease sepsis-related mortality and morbidity. Existing scoring systems such as the Acute Physiology and Chronic Health Evaluation (APACHE II) and Sequential Organ Failure Assessment scores (SOFA) achieve poor sensitivity in distinguishing between the different stages of sepsis. Recently, we proposed the Disease Severity Score Learning (DSSL) framework that automatically derives a severity score from data based on clinical comparisons – pairs of disease states ordered by their severity. In this paper, we test the feasibility of using DSSL to develop a sepsis severity score. We show that the learned score significantly outperforms APACHE-II and SOFA in distinguishing between the different stages of sepsis. Additionally, the learned score is sensitive to changes in severity leading up to septic shock and post treatment administration. PMID:26958288

  9. Association of a Dietary Score with Incident Type 2 Diabetes: The Dietary-Based Diabetes-Risk Score (DDS)

    PubMed Central

    Dominguez, Ligia J.; Bes-Rastrollo, Maira; Basterra-Gortari, Francisco Javier; Gea, Alfredo; Barbagallo, Mario; Martínez-González, Miguel A.

    2015-01-01

    Background Strong evidence supports that dietary modifications may decrease incident type 2 diabetes mellitus (T2DM). Numerous diabetes risk models/scores have been developed, but most do not rely specifically on dietary variables or do not fully capture the overall dietary pattern. We prospectively assessed the association of a dietary-based diabetes-risk score (DDS), which integrates optimal food patterns, with the risk of developing T2DM in the SUN (“Seguimiento Universidad de Navarra”) longitudinal study. Methods We assessed 17,292 participants initially free of diabetes, followed-up for a mean of 9.2 years. A validated 136-item FFQ was administered at baseline. Taking into account previous literature, the DDS positively weighted vegetables, fruit, whole cereals, nuts, coffee, low-fat dairy, fiber, PUFA, and alcohol in moderate amounts; while it negatively weighted red meat, processed meats and sugar-sweetened beverages. Energy-adjusted quintiles of each item (with exception of moderate alcohol consumption that received either 0 or 5 points) were used to build the DDS (maximum: 60 points). Incident T2DM was confirmed through additional detailed questionnaires and review of medical records of participants. We used Cox proportional hazards models adjusted for socio-demographic and anthropometric parameters, health-related habits, and clinical variables to estimate hazard ratios (HR) of T2DM. Results We observed 143 T2DM confirmed cases during follow-up. Better baseline conformity with the DDS was associated with lower incidence of T2DM (multivariable-adjusted HR for intermediate (25–39 points) vs. low (11–24) category 0.43 [95% confidence interval (CI) 0.21, 0.89]; and for high (40–60) vs. low category 0.32 [95% CI: 0.14, 0.69]; p for linear trend: 0.019). Conclusions The DDS, a simple score exclusively based on dietary components, showed a strong inverse association with incident T2DM. This score may be applicable in clinical practice to improve

  10. Embedding IRT in Structural Equation Models: A Comparison with Regression Based on IRT Scores

    ERIC Educational Resources Information Center

    Lu, Irene R. R.; Thomas, D. Roland; Zumbo, Bruno D.

    2005-01-01

    This article reviews the problems associated with using item response theory (IRT)-based latent variable scores for analytical modeling, discusses the connection between IRT and structural equation modeling (SEM)-based latent regression modeling for discrete data, and compares regression parameter estimates obtained using predicted IRT scores and…

  11. Standards-Based Grading: History Adjusted True Score

    ERIC Educational Resources Information Center

    Hooper, Jay; Cowell, Ryan

    2014-01-01

    There has been much research and discussion on the principles of standards-based grading, and there is a growing consensus of best practice. Even so, the actual process of implementing standards-based grading at a school or district level can be a significant challenge. There are very practical questions that remain unclear, such as how the grades…

  12. Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm.

    PubMed

    Beketayev, Kenes; Runco, Mark A

    2016-05-01

    Divergent thinking (DT) tests are useful for the assessment of creative potentials. This article reports the semantics-based algorithmic (SBA) method for assessing DT. This algorithm is fully automated: Examinees receive DT questions on a computer or mobile device and their ideas are immediately compared with norms and semantic networks. This investigation compared the scores generated by the SBA method with the traditional methods of scoring DT (i.e., fluency, originality, and flexibility). Data were collected from 250 examinees using the "Many Uses Test" of DT. The most important finding involved the flexibility scores from both scoring methods. This was critical because semantic networks are based on conceptual structures, and thus a high SBA score should be highly correlated with the traditional flexibility score from DT tests. Results confirmed this correlation (r = .74). This supports the use of algorithmic scoring of DT. The nearly-immediate computation time required by SBA method may make it the method of choice, especially when it comes to moderate- and large-scale DT assessment investigations. Correlations between SBA scores and GPA were insignificant, providing evidence of the discriminant and construct validity of SBA scores. Limitations of the present study and directions for future research are offered. PMID:27298632

  13. Scoring Divergent Thinking Tests by Computer With a Semantics-Based Algorithm

    PubMed Central

    Beketayev, Kenes; Runco, Mark A.

    2016-01-01

    Divergent thinking (DT) tests are useful for the assessment of creative potentials. This article reports the semantics-based algorithmic (SBA) method for assessing DT. This algorithm is fully automated: Examinees receive DT questions on a computer or mobile device and their ideas are immediately compared with norms and semantic networks. This investigation compared the scores generated by the SBA method with the traditional methods of scoring DT (i.e., fluency, originality, and flexibility). Data were collected from 250 examinees using the “Many Uses Test” of DT. The most important finding involved the flexibility scores from both scoring methods. This was critical because semantic networks are based on conceptual structures, and thus a high SBA score should be highly correlated with the traditional flexibility score from DT tests. Results confirmed this correlation (r = .74). This supports the use of algorithmic scoring of DT. The nearly-immediate computation time required by SBA method may make it the method of choice, especially when it comes to moderate- and large-scale DT assessment investigations. Correlations between SBA scores and GPA were insignificant, providing evidence of the discriminant and construct validity of SBA scores. Limitations of the present study and directions for future research are offered. PMID:27298632

  14. Application of a computed tomography based cystic fibrosis scoring system to chest tomosynthesis

    NASA Astrophysics Data System (ADS)

    Söderman, Christina; Johnsson, Åse; Vikgren, Jenny; Rystedt, Hans; Ivarsson, Jonas; Rossi Norrlund, Rauni; Nyberg Andersson, Lena; Bâth, Magnus

    2013-03-01

    In the monitoring of progression of lung disease in patients with cystic fibrosis (CF), recurrent computed tomography (CT) examinations are often used. The relatively new imaging technique chest tomosynthesis (CTS) may be an interesting alternative in the follow-up of these patients due to its visualization of the chest in slices at radiation doses and costs significantly lower than is the case with CT. A first step towards introducing CTS imaging in the diagnostics of CF patients is to establish a scoring system appropriate for evaluating the severity of CF pulmonary disease based on findings in CTS images. Previously, several such CF scoring systems based on CT imaging have been published. The purpose of the present study was to develop a CF scoring system for CTS, by starting from an existing scoring system dedicated for CT images and making modifications regarded necessary to make it appropriate for use with CTS images. In order to determine any necessary changes, three thoracic radiologists independently used a scoring system dedicated for CT on both CT and CTS images from CF patients. The results of the scoring were jointly evaluated by all the observers, which lead to suggestions for changes to the scoring system. Suggested modifications include excluding the scoring of air trapping and doing the scoring of the findings in quadrants of the image instead of in each lung lobe.

  15. Comparison of "E-Rater"[R] Automated Essay Scoring Model Calibration Methods Based on Distributional Targets

    ERIC Educational Resources Information Center

    Zhang, Mo; Williamson, David M.; Breyer, F. Jay; Trapani, Catherine

    2012-01-01

    This article describes two separate, related studies that provide insight into the effectiveness of "e-rater" score calibration methods based on different distributional targets. In the first study, we developed and evaluated a new type of "e-rater" scoring model that was cost-effective and applicable under conditions of absent human rating and…

  16. The Criterion-Related Validity of a Computer-Based Approach for Scoring Concept Maps

    ERIC Educational Resources Information Center

    Clariana, Roy B.; Koul, Ravinder; Salehi, Roya

    2006-01-01

    This investigation seeks to confirm a computer-based approach that can be used to score concept maps (Poindexter & Clariana, 2004) and then describes the concurrent criterion-related validity of these scores. Participants enrolled in two graduate courses (n=24) were asked to read about and research online the structure and function of the heart…

  17. The relationship between an inflammation‐based prognostic score (Glasgow Prognostic Score) and changes in serum biochemical variables in patients with advanced lung and gastrointestinal cancer

    PubMed Central

    Brown, D J F; Milroy, R; Preston, T; McMillan, D C

    2007-01-01

    Background The Glasgow Prognostic Score (GPS), an inflammation‐based prognostic score formed from standard thresholds of C reactive protein (CRP) and albumin, has prognostic value in patients with advanced cancer. Little is known about the general biochemical disturbance associated with the systemic inflammatory response in cancer. Aim To examine the relationship between the GPS and blood biochemistry in patients with advanced lung and gastrointestinal cancer. Methods The GPS (albumin <35 g/l = 1 and CRP >10 mg/l = 1 combined to form a prognostic score of 0 (normal) and 1 or 2 (abnormal)) and a variety of biochemical variables were examined in patients (n = 50) with advanced lung or gastrointestinal cancer and in a healthy control group (n = 13). Results The GPS was normal in all the controls, but abnormal in 78% of the cancer group. Serum levels of sodium, chloride, creatine kinase, zinc and vitamin D were lower in the cancer group (all p<0.01), whereas levels of calcium, copper (both p<0.05), alkaline phosphatase, γ‐glutamyl transferase (both p<0.001) and lactate dehydrogenase (p<0.10) were raised. In the patient group, with increasing GPS, there was a median reduction in Karnofsky Performance Status (25%), haemoglobin (22%), sodium (3%), zinc (15%) and survival (93%, all p<0.05) and a median increase in white cell count (129%), alkaline phosphatase (217%), γ‐glutamyl transferase (371%) and lactate dehydrogenase (130%, all p<0.05). CRP levels were strongly and similarly correlated with alkaline phosphatase and γ‐glutamyl transferase, accounting for more than 25% of the variation in their activities. Conclusion Several correlations were seen between biochemical variables and increasing GPS. In particular, chronic activation of the systemic inflammatory response in cancer was associated with increase in γ‐glutamyl transferase and alkaline phosphatase activity in patients with advanced lung and gastrointestinal cancer. PMID:16644880

  18. Discriminative likelihood score weighting based on acoustic-phonetic classification for speaker identification

    NASA Astrophysics Data System (ADS)

    Suh, Youngjoo; Kim, Hoirin

    2014-12-01

    In this paper, a new discriminative likelihood score weighting technique is proposed for speaker identification. The proposed method employs a discriminative weighting of frame-level log-likelihood scores with acoustic-phonetic classification in the Gaussian mixture model (GMM)-based speaker identification. Experiments performed on the Aurora noise-corrupted TIMIT database showed that the proposed approach provides meaningful performance improvement with an overall relative error reduction of 15.8% over the maximum likelihood-based baseline GMM approach.

  19. High accuracy operon prediction method based on STRING database scores.

    PubMed

    Taboada, Blanca; Verde, Cristina; Merino, Enrique

    2010-07-01

    We present a simple and highly accurate computational method for operon prediction, based on intergenic distances and functional relationships between the protein products of contiguous genes, as defined by STRING database (Jensen,L.J., Kuhn,M., Stark,M., Chaffron,S., Creevey,C., Muller,J., Doerks,T., Julien,P., Roth,A., Simonovic,M. et al. (2009) STRING 8-a global view on proteins and their functional interactions in 630 organisms. Nucleic Acids Res., 37, D412-D416). These two parameters were used to train a neural network on a subset of experimentally characterized Escherichia coli and Bacillus subtilis operons. Our predictive model was successfully tested on the set of experimentally defined operons in E. coli and B. subtilis, with accuracies of 94.6 and 93.3%, respectively. As far as we know, these are the highest accuracies ever obtained for predicting bacterial operons. Furthermore, in order to evaluate the predictable accuracy of our model when using an organism's data set for the training procedure, and a different organism's data set for testing, we repeated the E. coli operon prediction analysis using a neural network trained with B. subtilis data, and a B. subtilis analysis using a neural network trained with E. coli data. Even for these cases, the accuracies reached with our method were outstandingly high, 91.5 and 93%, respectively. These results show the potential use of our method for accurately predicting the operons of any other organism. Our operon predictions for fully-sequenced genomes are available at http://operons.ibt.unam.mx/OperonPredictor/. PMID:20385580

  20. Estimates of genetic parameters among scale activity scores, growth, and fatness in pigs

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Genetic parameters for scale activity score were estimated from generations 5, 6, and 7 of a randomly selected, composite population composed of Duroc, Large White, and two sources of Landrace (n = 2,186). At approximately 156 d of age, pigs were weighed (WT) and ultrasound backfat measurements (BF1...

  1. Objective Functional Assessment After a Head Injury Using Movement and Activity in Physical Space Scores: A Case Report

    PubMed Central

    Farnsworth, James L.; McElhiney, Danielle; David, Shannon; Sinha, Gaurav; Ragan, Brian G.

    2014-01-01

    Objective: To describe the potential benefit of using a global positioning system (GPS) and accelerometry as an objective functional-activity measure after concussion by creating Movement and Activity in Physical Space (MAPS) scores. Background: A 21-year-old female soccer player suffered a blow to the back of the head from an opponent's shoulder during an away match. No athletic trainer was present. She played the remainder of the match and reported to the athletic training facility the next day for evaluation. Differential Diagnosis: Concussion. Treatment: The athlete was removed from all athletic activities. Her symptoms were monitored based on the Zurich guidelines. She was also instructed to wear an accelerometer on her hip and to carry an on-person GPS receiver at all times for 10 days. Her total symptom scores for the 4 symptomatic days were 82, 39, 49, and 36. Her mean MAPS functional score for symptomatic days 3 through 5 was 900.9 and for asymptomatic days 6 through 11 was 2734.9. Uniqueness: We monitored the patient's function during the concussion-recovery process using an on-person GPS receiver and accelerometer to calculate personalized MAPS scores. This novel approach to measuring function after injury may provide a useful complementary tool to help with return-to-play decisions. Conclusions: An on-person GPS receiver and accelerometer were used to observe the patient's physical activity in a free-living environment, allowing for an objective measure of function during recovery. Her MAPS scores were low while she was symptomatic and increased as she became asymptomatic. We saw the expected inverse relationship between symptoms and function. In situations where accuracy of reported symptoms may be a concern, this measure may provide a way to verify the validity of, or raise doubts about, self-reported symptoms. PMID:24840582

  2. A New, Improved Hybrid Scoring Function for Molecular Docking and Scoring Based on AutoDock and AutoDock Vina.

    PubMed

    Tanchuk, Vsevolod Yu; Tanin, Volodymyr O; Vovk, Andriy I; Poda, Gennady

    2016-04-01

    Automated docking is one of the most important tools for structure-based drug design that allows prediction of ligand binding poses and also provides an estimate of how well small molecules fit in the binding site of a protein. A new scoring function based on AutoDock and AutoDock Vina has been introduced. The new hybrid scoring function is a linear combination of the two scoring function components derived from a multiple linear regression fitting procedure. The scoring function was built on a training set of 2412 protein-ligand complexes from pdbbind database (www.pdbbind.org.cn, version 2012). A test set of 313 complexes that appeared in the 2013 version was used for validation purposes. The new hybrid scoring function performed better than the original functions, both on training and test sets of protein-ligand complexes, as measured by the non-parametric Pearson correlation coefficient, R, mean absolute error (MAE), and root-mean-square error (RMSE) between the experimental binding affinities and the docking scores. The function also gave one of the best results among more than 20 scoring functions tested on the core set of the pdbbind database. The new AutoDock hybrid scoring function will be implemented in modified version of AutoDock. PMID:26643167

  3. Audio-digital recordings used for independent confirmation of site-based MADRS interview scores.

    PubMed

    Targum, Steven D; Pendergrass, J Cara; Toner, Chelsea; Asgharnejad, Mahnaz; Burch, Daniel J

    2014-11-01

    Signal detection requires ratings reliability throughout a clinical trial. The confirmation of site-based rater scores by a second, independent and blinded rater is a reasonable metric of ratings reliability. We used audio-digital pens to record site-based interviews of the Montgomery-Asberg Depression Rating Scale (MADRS) in a double-blind, placebo controlled trial of a novel antidepressant in treatment resistant depressed patients. Blinded, site-independent raters generated "dual" scores that revealed high correlations between site-based and site-independent raters (r=0.940 for all ratings) and high sensitivity, specificity, predictive values, and kappa coefficients for treatment response and non-response outcomes using the site-based rater scores as the standard. The blinded raters achieved an 89.4% overall accuracy and 0.786 kappa for matching the treatment response or non-response outcomes of the site-based raters. A limitation of this method is that independent ratings depend on the quality of site-based interviews and patient responses to the site-based interviewers. Nonetheless, this quality assurance strategy may have broad applicability for studies that use subjective measures and wherever ratings reliability is a concern. "Dual" scoring of recorded site-based ratings can be a relatively unobtrusive surveillance strategy to confirm scores and to identify and remediate rater "outliers" during a study. PMID:25239474

  4. Does body mass index (BMI) influence the Ankylosing Spondylitis Disease Activity Score in axial spondyloarthritis?

    PubMed Central

    Rubio Vargas, Roxana; van den Berg, Rosaline; van Lunteren, Miranda; Ez-Zaitouni, Zineb; Bakker, Pauline A C; Dagfinrud, Hanne; Ramonda, Roberta; Landewé, Robert; Molenaar, Esmeralda; van Gaalen, Floris A; van der Heijde, Désirée

    2016-01-01

    Objective Obesity is associated with elevated C reactive protein (CRP) levels. The Ankylosing Spondylitis Disease Activity Score (ASDAS) combines patient-reported outcomes (PROs) and CRP. We evaluated the effect of body mass index (BMI) on CRP and on ASDAS, and studied if ASDAS can be used in obese axial spondyloarthritis (axSpA) patients to assess disease activity. Methods Baseline data of patients with chronic back pain of short duration included in the SPondyloArthritis Caught Early (SPACE) cohort were used. Collected data included BMI and ASDAS. Patients were classified according to the ASAS axSpA classification criteria and BMI (overweight ≥25 and obese ≥30). Correlation and linear regression analyses were performed to assess the relation between BMI and ASDAS. Linear regression models were performed to assess if age or gender were effect modifiers in the relation between BMI and CRP, and between BMI and ASDAS. Results In total, 428 patients were analysed (n=168 axSpA; n=260 no-axSpA). The mean age was 31.1 years, 36.9% were male, 26.4% were overweight and 13.3% obese, median CRP was 3 mg/L and the mean ASDAS was 2.6. Gender was the only factor modifying the relationship between BMI and CRP as BMI had an influence on CRP only in females (β=0.35; p<0.001). Correlations between BMI and CRP or PROs were generally weak, and only significant for CRP in female patients. BMI was not related to ASDAS in axSpA patients. Conclusions ASDAS is not affected by BMI in axSpA patients. Therefore, based on our data it is not necessary to take BMI in consideration when assessing disease activity using ASDAS in axSpA patients. PMID:27403336

  5. WHO MPOWER tobacco control scores in the Eastern Mediterranean countries based on the 2011 report.

    PubMed

    Heydari, Gh; Talischi, F; Algouhmani, H; Lando, H A; Ahmady, A Ebn

    2013-04-01

    The aim of this cross-sectional study was to quantify the implementation of MPOWER tobacco control policies among Eastern Mediterranean Region countries. Information was obtained from the 2011 WHO MPOWER report. A checklist was designed and its scoring was agreed by Iranian and international tobacco control specialists. Seven questions were scored from 0-4 and 3 from 0-3. The 22 countries were ranked by their total score on a scale of 0 to 37. The highest scores were achieved by the Islamic Republic of Iran, Egypt and Jordan 29, 28 and 26 respectively. Twelve of the countries (55%) scored more than half of the possible score (19). The lowest and highest scores for all countries summed were on sections related to banning smoking in public places (18) and tobacco advertising bans (66) respectively. Compliance with smoke-free policies was especially low. MPOWER programmes are accepted in the Region but there is considerable room for improvement. Input from countries based on their successes and challenges is needed to strengthen the programmes. PMID:23882955

  6. The ABC (age, biomarkers, clinical history) stroke risk score: a biomarker-based risk score for predicting stroke in atrial fibrillation

    PubMed Central

    Hijazi, Ziad; Lindbäck, Johan; Alexander, John H.; Hanna, Michael; Held, Claes; Hylek, Elaine M.; Lopes, Renato D.; Oldgren, Jonas; Siegbahn, Agneta; Stewart, Ralph A.H.; White, Harvey D.; Granger, Christopher B.; Wallentin, Lars

    2016-01-01

    Aims Atrial fibrillation (AF) is associated with an increased risk of stroke, which is currently estimated by clinical characteristics. The cardiac biomarkers N-terminal fragment B-type natriuretic peptide (NT-proBNP) and cardiac troponin high-sensitivity (cTn-hs) are independently associated with risk of stroke in AF. Our objective was to develop and validate a new biomarker-based risk score to improve prognostication of stroke in patients with AF. Methods and results A new risk score was developed and internally validated in 14 701 patients with AF and biomarkers levels determined at baseline, median follow-up of 1.9 years. Biomarkers and clinical variables significantly contributing to predicting stroke or systemic embolism were assessed by Cox-regression and each variable obtained a weight proportional to the model coefficients. External validation was performed in 1400 patients with AF, median follow-up of 3.4 years. The most important predictors were prior stroke/transient ischaemic attack, NT-proBNP, cTn-hs, and age, which were included in the ABC (Age, Biomarkers, Clinical history) stroke risk score. The ABC-stroke score was well calibrated and yielded higher c-indices than the widely used CHA2DS2-VASc score in both the derivation cohort (0.68 vs. 0.62, P < 0.001) and the external validation cohort (0.66 vs. 0.58, P < 0.001). Moreover, the ABC-stroke score consistently provided higher c-indices in several important subgroups. Conclusion A novel biomarker-based risk score for predicting stroke in AF was successfully developed and internally validated in a large cohort of patients with AF and further externally validated in an independent AF cohort. The ABC-stroke score performed better than the presently used clinically based risk score and may provide improved decision support in AF. ClinicalTrials. gov identifier NCT00412984, NCT00799903. PMID:26920728

  7. Predicting Disease-Related Subnetworks for Type 1 Diabetes Using a New Network Activity Score

    PubMed Central

    Gao, Shouguo; Jia, Shuang; Hessner, Martin J.

    2012-01-01

    Abstract In this study we investigated the advantage of including network information in prioritizing disease genes of type 1 diabetes (T1D). First, a naïve Bayesian network (NBN) model was developed to integrate information from multiple data sources and to define a T1D-involvement probability score (PS) for each individual gene. The algorithm was validated using known functional candidate genes as a benchmark. Genes with higher PS were found to be more likely to appear in T1D-related publications. Next a new network activity metric was proposed to evaluate the T1D relevance of protein-protein interaction (PPI) subnetworks. The metric considered the contribution both from individual genes and from network topological characteristics. The predictions were confirmed by several independent datasets, including a genome wide association study (GWAS), and two large-scale human gene expression studies. We found that novel candidate genes in the T1D subnetworks showed more significant associations with T1D than genes predicted using PS alone. Interestingly, most novel candidates were not encoded within the human leukocyte antigen (HLA) region, and their expression levels showed correlation with disease only in cohorts with low-risk HLA genotypes. The results suggested the importance of mapping disease gene networks in dissecting the genetics of complex diseases, and offered a general approach to network-based disease gene prioritization from multiple data sources. PMID:22917479

  8. Φ-score: A cell-to-cell phenotypic scoring method for sensitive and selective hit discovery in cell-based assays

    PubMed Central

    Guyon, Laurent; Lajaunie, Christian; fer, Frédéric; bhajun, Ricky; sulpice, Eric; pinna, Guillaume; campalans, Anna; radicella, J. Pablo; rouillier, Philippe; mary, Mélissa; combe, Stéphanie; obeid, Patricia; vert, Jean-Philippe; gidrol, Xavier

    2015-01-01

    Phenotypic screening monitors phenotypic changes induced by perturbations, including those generated by drugs or RNA interference. Currently-used methods for scoring screen hits have proven to be problematic, particularly when applied to physiologically relevant conditions such as low cell numbers or inefficient transfection. Here, we describe the Φ-score, which is a novel scoring method for the identification of phenotypic modifiers or hits in cell-based screens. Φ-score performance was assessed with simulations, a validation experiment and its application to gene identification in a large-scale RNAi screen. Using robust statistics and a variance model, we demonstrated that the Φ-score showed better sensitivity, selectivity and reproducibility compared to classical approaches. The improved performance of the Φ-score paves the way for cell-based screening of primary cells, which are often difficult to obtain from patients in sufficient numbers. We also describe a dedicated merging procedure to pool scores from small interfering RNAs targeting the same gene so as to provide improved visualization and hit selection. PMID:26382112

  9. Computing posterior probabilities for score-based alignments using ppALIGN.

    PubMed

    Wolfsheimer, Stefan; Hartmann, Alexander; Rabus, Ralf; Nuel, Gregory

    2012-01-01

    Score-based pairwise alignments are widely used in bioinformatics in particular with molecular database search tools, such as the BLAST family. Due to sophisticated heuristics, such algorithms are usually fast but the underlying scoring model unfortunately lacks a statistical description of the reliability of the reported alignments. In particular, close to gaps, in low-score or low-complexity regions, a huge number of alternative alignments arise which results in a decrease of the certainty of the alignment. ppALIGN is a software package that uses hidden Markov Model techniques to compute position-wise reliability of score-based pairwise alignments of DNA or protein sequences. The design of the model allows for a direct connection between the scoring function and the parameters of the probabilistic model. For this reason it is suitable to analyze the outcomes of popular score based aligners and search tools without having to choose a complicated set of parameters. By contrast, our program only requires the classical score parameters (the scoring function and gap costs). The package comes along with a library written in C++, a standalone program for user defined alignments (ppALIGN) and another program (ppBLAST) which can process a complete result set of BLAST. The main algorithms essentially exhibit a linear time complexity (in the alignment lengths), and they are hence suitable for on-line computations. We have also included alternative decoding algorithms to provide alternative alignments. ppALIGN is a fast program/library that helps detect and quantify questionable regions in pairwise alignments. Due to its structure, the input/output interface it can to be connected to other post-processing tools. Empirically, we illustrate its usefulness in terms of correctly predicted reliable regions for sequences generated using the ROSE model for sequence evolution, and identify sensor-specific regions in the denitrifying betaproteobacterium Aromatoleum aromaticum. PMID

  10. Developing points-based risk-scoring systems in the presence of competing risks.

    PubMed

    Austin, Peter C; Lee, Douglas S; D'Agostino, Ralph B; Fine, Jason P

    2016-09-30

    Predicting the occurrence of an adverse event over time is an important issue in clinical medicine. Clinical prediction models and associated points-based risk-scoring systems are popular statistical methods for summarizing the relationship between a multivariable set of patient risk factors and the risk of the occurrence of an adverse event. Points-based risk-scoring systems are popular amongst physicians as they permit a rapid assessment of patient risk without the use of computers or other electronic devices. The use of such points-based risk-scoring systems facilitates evidence-based clinical decision making. There is a growing interest in cause-specific mortality and in non-fatal outcomes. However, when considering these types of outcomes, one must account for competing risks whose occurrence precludes the occurrence of the event of interest. We describe how points-based risk-scoring systems can be developed in the presence of competing events. We illustrate the application of these methods by developing risk-scoring systems for predicting cardiovascular mortality in patients hospitalized with acute myocardial infarction. Code in the R statistical programming language is provided for the implementation of the described methods. © 2016 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd. PMID:27197622

  11. A comparison of psychiatrists' clinical-impression-based and social workers' computer-generated GAF scores.

    PubMed

    Harel, Tamar Zohar; Smith, Donald W; Rowles, J Mark

    2002-03-01

    The authors studied the utility of the DSM-IV Global Assessment of Functioning (GAF) scale for improving interdisciplinary communication about patient care. Discharge GAF scores for 165 discharged inpatients were computer generated by 13 trained unit social workers and derived by eight psychiatrists on the basis of their clinical impressions. Differences between the scores obtained by the two disciplinary groups were tested by using the paired t test and the nonparametric signed-rank test. Agreement between scores for various GAF categories was tested with kappa agreement indexes. Interdisciplinary agreement on discharge GAF scores was observed across diagnostic categories and across most categories of length of stay. The results suggest that social workers, after receiving systematic training in computer-based GAF reports, can provide reasonable assessments of clients' functioning. PMID:11875231

  12. Physical Activity Level Improves the Predictive Accuracy of Cardiovascular Disease Risk Score: The ATTICA Study (2002–2012)

    PubMed Central

    Georgousopoulou, Ekavi N.; Panagiotakos, Demosthenes B.; Bougatsas, Dimitrios; Chatzigeorgiou, Michael; Kavouras, Stavros A.; Chrysohoou, Christina; Skoumas, Ioannis; Tousoulis, Dimitrios; Stefanadis, Christodoulos; Pitsavos, Christos

    2016-01-01

    Background: Although physical activity (PA) has long been associated with cardiovascular disease (CVD), assessment of PA status has never been used as a part of CVD risk prediction tools. The aim of the present work was to examine whether the inclusion of PA status in a CVD risk model improves its predictive accuracy. Methods: Data from the 10-year follow-up (2002–2012) of the n = 2020 participants (aged 18–89 years) of the ATTICA prospective study were used to test the research hypothesis. The HellenicSCORE (that incorporates age, sex, smoking, total cholesterol, and systolic blood pressure levels) was calculated to estimate the baseline 10-year CVD risk; assessment of PA status was based on the International Physical Activity Questionnaire. The estimated CVD risk was tested against the observed 10-year incidence (i.e., development of acute coronary syndromes, stroke, or other CVD according to the World Health Organization [WHO]-International Classification of Diseases [ICD]-10 criteria). Changes in the predictive ability of the nested CVD risk model that contained the HellenicSCORE plus PA assessment were evaluated using Harrell's C and net reclassification index. Results: Both HellenicSCORE and PA status were predictors of future CVD events (P < 0.05). However, the estimating classification bias of the model that included only the HellenicSCORE was significantly reduced when PA assessment was included (Harrel's C = 0.012, P = 0.032); this reduction remained significant even when adjusted for diabetes mellitus and dietary habits (P < 0.05). Conclusions: CVD risk scores seem to be more accurate by incorporating individuals’ PA status; thus, may be more effective tools in primary prevention by efficiently allocating CVD candidates. PMID:27076890

  13. Determining the Scoring Validity of a Co-Constructed CEFR-Based Rating Scale

    ERIC Educational Resources Information Center

    Deygers, Bart; Van Gorp, Koen

    2015-01-01

    Considering scoring validity as encompassing both reliable rating scale use and valid descriptor interpretation, this study reports on the validation of a CEFR-based scale that was co-constructed and used by novice raters. The research questions this paper wishes to answer are (a) whether it is possible to construct a CEFR-based rating scale with…

  14. An Exploration of the Base Rate Scores of the Millon Clinical Multiaxial Inventory-III

    ERIC Educational Resources Information Center

    Grove, William M.; Vrieze, Scott I.

    2009-01-01

    The Millon Clinical Multiaxial Inventory (3rd ed.; MCMI-III) is a widely used psychological assessment of clinical and personality disorders. Unlike typical tests, the MCMI-III uses a base-rate score transformation to incorporate prior probabilities of disorder (i.e., base rates) in test output and diagnostic thresholds. The authors describe the…

  15. 42 CFR 414.1275 - Value-based payment modifier quality-tiering scoring methodology.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 42 Public Health 3 2013-10-01 2013-10-01 false Value-based payment modifier quality-tiering scoring methodology. 414.1275 Section 414.1275 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES (CONTINUED) MEDICARE PROGRAM (CONTINUED) PAYMENT FOR PART B MEDICAL AND OTHER HEALTH SERVICES Value-Based...

  16. On the lack of comonotonicity between likert scores and Rasch-based measures.

    PubMed

    Bertoli-Barsotti, Lucio

    2005-01-01

    The Rating Scale Model (RSM) and the Partial Credit Model (PCM) are fairly well-known examples of Rasch models for polytomously scored items. In addition to a number of threshold parameters, both the models contain two scalar parameters characterizing item and person location on a common interval-level scale. The rank order of items and persons defined by the Likert summative scores (i.e. the raw total scores) is compared with that obtained from the Rasch-based measures (i.e. the maximum likelihood estimates of person and item parameters). It is proved that: 1) the property of comonotonicity between Likert summative scores and Rasch-based measures holds for both the person and item parameters of the RSM; 2) the property of comonotonicity between Likert summative scores and Rasch-based measures holds for the PCM only with reference to the person parameters; 3) violations of comonotonicity are possible, for particular datasets, for the item parameters of the PCM. PMID:15701945

  17. Using the EZ-Diffusion Model to Score a Single-Category Implicit Association Test of Physical Activity

    PubMed Central

    Rebar, Amanda L.; Ram, Nilam; Conroy, David E.

    2014-01-01

    Objective The Single-Category Implicit Association Test (SC-IAT) has been used as a method for assessing automatic evaluations of physical activity, but measurement artifact or consciously-held attitudes could be confounding the outcome scores of these measures. The objective of these two studies was to address these measurement concerns by testing the validity of a novel SC-IAT scoring technique. Design Study 1 was a cross-sectional study, and study 2 was a prospective study. Method In study 1, undergraduate students (N = 104) completed SC-IATs for physical activity, flowers, and sedentary behavior. In study 2, undergraduate students (N = 91) completed a SC-IAT for physical activity, self-reported affective and instrumental attitudes toward physical activity, physical activity intentions, and wore an accelerometer for two weeks. The EZ-diffusion model was used to decompose the SC-IAT into three process component scores including the information processing efficiency score. Results In study 1, a series of structural equation model comparisons revealed that the information processing score did not share variability across distinct SC-IATs, suggesting it does not represent systematic measurement artifact. In study 2, the information processing efficiency score was shown to be unrelated to self-reported affective and instrumental attitudes toward physical activity, and positively related to physical activity behavior, above and beyond the traditional D-score of the SC-IAT. Conclusions The information processing efficiency score is a valid measure of automatic evaluations of physical activity. PMID:25484621

  18. Accelerating the scoring module of mass spectrometry-based peptide identification using GPUs

    PubMed Central

    2014-01-01

    Background Tandem mass spectrometry-based database searching is currently the main method for protein identification in shotgun proteomics. The explosive growth of protein and peptide databases, which is a result of genome translations, enzymatic digestions, and post-translational modifications (PTMs), is making computational efficiency in database searching a serious challenge. Profile analysis shows that most search engines spend 50%-90% of their total time on the scoring module, and that the spectrum dot product (SDP) based scoring module is the most widely used. As a general purpose and high performance parallel hardware, graphics processing units (GPUs) are promising platforms for speeding up database searches in the protein identification process. Results We designed and implemented a parallel SDP-based scoring module on GPUs that exploits the efficient use of GPU registers, constant memory and shared memory. Compared with the CPU-based version, we achieved a 30 to 60 times speedup using a single GPU. We also implemented our algorithm on a GPU cluster and achieved an approximately favorable speedup. Conclusions Our GPU-based SDP algorithm can significantly improve the speed of the scoring module in mass spectrometry-based protein identification. The algorithm can be easily implemented in many database search engines such as X!Tandem, SEQUEST, and pFind. A software tool implementing this algorithm is available at http://www.comp.hkbu.edu.hk/~youli/ProteinByGPU.html PMID:24773593

  19. Association of a multibiomarker disease activity score at multiple time-points with radiographic progression in rheumatoid arthritis: results from the SWEFOT trial

    PubMed Central

    Hambardzumyan, Karen; Bolce, Rebecca J; Saevarsdottir, Saedis; Forslind, Kristina; Wallman, Johan K; Cruickshank, Scott E; Sasso, Eric H; Chernoff, David; van Vollenhoven, Ronald F

    2016-01-01

    Objectives In rheumatoid arthritis (RA), predictive biomarkers for subsequent radiographic progression (RP) could improve therapeutic choices for individual patients. We previously showed that the multibiomarker disease activity (MBDA) score in patients with newly diagnosed RA identified patients at risk for RP. We evaluated the MBDA score at multiple time-points as a predictor of RP during 2 years of follow-up. Methods A subset of patients with RA (N=220) from the Swedish Farmacotherapy (SWEFOT) trial were analysed for MBDA score, disease activity score of 28 joints (DAS28), C reactive protein (CRP) and erythrocyte sedimentation rate (ESR) at baseline (BL), month 3 and year 1, for predicting RP based on modified Sharp/van der Heijde scores at BL, year 1 and year 2. Results Patients with persistently low MBDA (<30) scores or those with a decrease from moderate (30–44) to low MBDA scores, did not develop RP during 2 years of follow-up. The highest risk for RP during 2 years of follow-up (42%) was observed among patients with persistently high (>44) MBDA scores. Among methotrexate non-responders with a high MBDA score at BL or month 3, significantly more of those who received triple therapy had RP at year 2 compared with those who received antitumour necrosis factor therapy. Conclusions Measuring the MBDA score both before and during treatment in RA was useful for the assessment of individual patient risk for RP during 2 years of follow-up. In comparison with low CRP, ESR or DAS28, a low MBDA score at any time-point was associated with numerically lower proportions of RP. Trial registration number NCT00764725. PMID:26958364

  20. Electrocardiogram-based scoring system for predicting secondary pulmonary hypertension: A cross-sectional study

    PubMed Central

    Palamaner Subash Shantha, Ghanshyam; Patel, Nimesh Kirit; Boruah, Pranjal; Nanavaty, Sukrut; Chandran, Sindu; Sethi, Arjinder; Sheth, Jignesh

    2014-01-01

    Objectives In this study, we have developed an electrocardiogram-based scoring system to predict secondary pulmonary hypertension. Design A cross-sectional study. Setting Single tertiary-care hospital in Scranton, Pennsylvania, USA. Participants Five hundred and fifty-two consecutive patients undergoing right heart catheterization between 2006 and 2009. Main outcome measures Surface electrocardiogram was assessed for R-wave in lead V1 ≥ 6mm, R-wave in V6 ≤ 3mm, S-wave in V6 ≥ 3mm, right atrial enlargement, right axis deviation and left atrial enlargement. Pulmonary hypertension was defined as mean pulmonary artery pressure ≥25 mmHg, determined by right heart catheterization. Results A total of 297 (54%) patients in the study cohort had pulmonary hypertension. In total, 332 patients from the study cohort formed the development cohort and the remaining 220 patients formed the validation cohort. In the development cohort, based on log odds ratios of association, RAE, LAE, RAD, R-wave in V1 ≥ 6 mm were assigned scores of 5, 2, 2 and 1, respectively, to form a 10-point scoring system “Scranton PHT (SP) score”. SP scores of 5 points and 7 points in DC showed C-statistic of 0.83 and 0.89, respectively, for discriminating pulmonary hypertension. C-statistic for RAE alone was significantly lower compared to an SP score of 7 (0.83 vs. 0.89, P = 0.021). The reliability of SP score in the validation cohort was acceptable. Conclusion SP score provides a good point-of-care tool to predict pulmonary hypertension in patients with clinical suspicion of it. PMID:25396053

  1. 3D face recognition based on the hierarchical score-level fusion classifiers

    NASA Astrophysics Data System (ADS)

    Mráček, Štěpán.; Váša, Jan; Lankašová, Karolína; Drahanský, Martin; Doležel, Michal

    2014-05-01

    This paper describes the 3D face recognition algorithm that is based on the hierarchical score-level fusion clas-sifiers. In a simple (unimodal) biometric pipeline, the feature vector is extracted from the input data and subsequently compared with the template stored in the database. In our approachm, we utilize several feature extraction algorithms. We use 6 different image representations of the input 3D face data. Moreover, we are using Gabor and Gauss-Laguerre filter banks applied on the input image data that yield to 12 resulting feature vectors. Each representation is compared with corresponding counterpart from the biometric database. We also add the recognition based on the iso-geodesic curves. The final score-level fusion is performed on 13 comparison scores using the Support Vector Machine (SVM) classifier.

  2. Optimal query-based relevance feedback in medical image retrieval using score fusion-based classification.

    PubMed

    Behnam, Mohammad; Pourghassem, Hossein

    2015-04-01

    In this paper, a new content-based medical image retrieval (CBMIR) framework using an effective classification method and a novel relevance feedback (RF) approach are proposed. For a large-scale database with diverse collection of different modalities, query image classification is inevitable due to firstly, reducing the computational complexity and secondly, increasing influence of data fusion by removing unimportant data and focus on the more valuable information. Hence, we find probability distribution of classes in the database using Gaussian mixture model (GMM) for each feature descriptor and then using the fusion of obtained scores from the dependency probabilities, the most relevant clusters are identified for a given query. Afterwards, visual similarity of query image and images in relevant clusters are calculated. This method is performed separately on all feature descriptors, and then the results are fused together using feature similarity ranking level fusion algorithm. In the RF level, we propose a new approach to find the optimal queries based on relevant images. The main idea is based on density function estimation of positive images and strategy of moving toward the aggregation of estimated density function. The proposed framework has been evaluated on ImageCLEF 2005 database consisting of 10,000 medical X-ray images of 57 semantic classes. The experimental results show that compared with the existing CBMIR systems, our framework obtains the acceptable performance both in the image classification and in the image retrieval by RF. PMID:25246167

  3. Feature and score fusion based multiple classifier selection for iris recognition.

    PubMed

    Islam, Md Rabiul

    2014-01-01

    The aim of this work is to propose a new feature and score fusion based iris recognition approach where voting method on Multiple Classifier Selection technique has been applied. Four Discrete Hidden Markov Model classifiers output, that is, left iris based unimodal system, right iris based unimodal system, left-right iris feature fusion based multimodal system, and left-right iris likelihood ratio score fusion based multimodal system, is combined using voting method to achieve the final recognition result. CASIA-IrisV4 database has been used to measure the performance of the proposed system with various dimensions. Experimental results show the versatility of the proposed system of four different classifiers with various dimensions. Finally, recognition accuracy of the proposed system has been compared with existing N hamming distance score fusion approach proposed by Ma et al., log-likelihood ratio score fusion approach proposed by Schmid et al., and single level feature fusion approach proposed by Hollingsworth et al. PMID:25114676

  4. Feature and Score Fusion Based Multiple Classifier Selection for Iris Recognition

    PubMed Central

    Islam, Md. Rabiul

    2014-01-01

    The aim of this work is to propose a new feature and score fusion based iris recognition approach where voting method on Multiple Classifier Selection technique has been applied. Four Discrete Hidden Markov Model classifiers output, that is, left iris based unimodal system, right iris based unimodal system, left-right iris feature fusion based multimodal system, and left-right iris likelihood ratio score fusion based multimodal system, is combined using voting method to achieve the final recognition result. CASIA-IrisV4 database has been used to measure the performance of the proposed system with various dimensions. Experimental results show the versatility of the proposed system of four different classifiers with various dimensions. Finally, recognition accuracy of the proposed system has been compared with existing N hamming distance score fusion approach proposed by Ma et al., log-likelihood ratio score fusion approach proposed by Schmid et al., and single level feature fusion approach proposed by Hollingsworth et al. PMID:25114676

  5. Fuzzy weighted average based on left and right scores in Malaysia tourism industry

    NASA Astrophysics Data System (ADS)

    Kamis, Nor Hanimah; Abdullah, Kamilah; Zulkifli, Muhammad Hazim; Sahlan, Shahrazali; Mohd Yunus, Syaizzal

    2013-04-01

    Tourism is known as an important sector to the Malaysian economy including economic generator, creating business and job offers. It is reported to bring in almost RM30 billion of the national income, thanks to intense worldwide promotion by Tourism Malaysia. One of the well-known attractions in Malaysia is our beautiful islands. The islands continue to be developed into tourist spots and attracting a continuous number of tourists. Chalets, luxury bungalows and resorts quickly develop along the coastlines of popular islands like Tioman, Redang, Pangkor, Perhentian, Sibu and so many others. In this study, we applied Fuzzy Weighted Average (FWA) method based on left and right scores in order to determine the criteria weights and to select the best island in Malaysia. Cost, safety, attractive activities, accommodation and scenery are five main criteria to be considered and five selected islands in Malaysia are taken into accounts as alternatives. The most important criteria that have been considered by the tourist are defined based on criteria weights ranking order and the best island in Malaysia is then determined in terms of FWA values. This pilot study can be used as a reference to evaluate performances or solving any selection problems, where more criteria, alternatives and decision makers will be considered in the future.

  6. Non-localization and localization ROC analyses using clinically based scoring

    NASA Astrophysics Data System (ADS)

    Paquerault, Sophie; Samuelson, Frank W.; Myers, Kyle J.; Smith, Robert C.

    2009-02-01

    We are investigating the potential for differences in study conclusions when assessing the estimated impact of a computer-aided detection (CAD) system on readers' performance. The data utilized in this investigation were derived from a multi-reader multi-case observer study involving one hundred mammographic background images to which fixed-size and fixed-intensity Gaussian signals were added, generating a low- and high-intensity signal sets. The study setting allowed CAD assessment in two situations: when CAD sensitivity was 1) superior or 2) lower than the average reader. Seven readers were asked to review each set in the unaided and CAD-aided reading modes, mark and rate their findings. Using this data, we studied the effect on study conclusion of three clinically-based receiver operating characteristic (ROC) scoring definitions. These scoring definitions included both location-specific and non-location-specific rules. The results showed agreement in the estimated impact of CAD on the overall reader performance. In the study setting where CAD sensitivity is superior to the average reader, the mean difference in AUC between the CAD-aided read and unaided read was 0.049 (95%CIs: -0.027; 0.130) for the image scoring definition that is based on non-location-specific rules, and 0.104 (95%CIs: 0.036; 0.174) and 0.090 (95%CIs: 0.031; 0.155) for image scoring definitions that are based on location-specific rules. The increases in AUC were statistically significant for the location-specific scoring definitions. It was further observed that the variance on these estimates was reduced when using the location-specific scoring definitions compared to that using a non-location-specific scoring definition. In the study setting where CAD sensitivity is equivalent or lower than the average reader, the mean differences in AUC are slightly above 0.01 for all image scoring definitions. These increases in AUC were not statistical significant for any of the image scoring definitions

  7. A Generalizability Approach To Evaluating the Reliability of Testlet-Based Test Scores.

    ERIC Educational Resources Information Center

    Lee, Guemin; Frisbie, David A.

    Previous studies have indicated that the reliability of test scores composed of testlets might be overestimated by conventional item-based reliability estimation methods (R. Thorndike, 1953; A. Anastasi, 1988; S. Sireci, D. Thissen, and H. Wainer, 1991; H. Wainer and D. Thissen, 1996). This study used generalizability theory to investigate the…

  8. 42 CFR 412.165 - Performance scoring under the Hospital Value-Based Purchasing (VBP) Program.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 42 Public Health 2 2014-10-01 2014-10-01 false Performance scoring under the Hospital Value-Based Purchasing (VBP) Program. 412.165 Section 412.165 Public Health CENTERS FOR MEDICARE & MEDICAID SERVICES, DEPARTMENT OF HEALTH AND HUMAN SERVICES MEDICARE PROGRAM PROSPECTIVE PAYMENT SYSTEMS FOR INPATIENT HOSPITAL SERVICES Adjustments to the...

  9. Detecting determinism with improved sensitivity in time series: Rank-based nonlinear predictability score

    NASA Astrophysics Data System (ADS)

    Naro, Daniel; Rummel, Christian; Schindler, Kaspar; Andrzejak, Ralph G.

    2014-09-01

    The rank-based nonlinear predictability score was recently introduced as a test for determinism in point processes. We here adapt this measure to time series sampled from time-continuous flows. We use noisy Lorenz signals to compare this approach against a classical amplitude-based nonlinear prediction error. Both measures show an almost identical robustness against Gaussian white noise. In contrast, when the amplitude distribution of the noise has a narrower central peak and heavier tails than the normal distribution, the rank-based nonlinear predictability score outperforms the amplitude-based nonlinear prediction error. For this type of noise, the nonlinear predictability score has a higher sensitivity for deterministic structure in noisy signals. It also yields a higher statistical power in a surrogate test of the null hypothesis of linear stochastic correlated signals. We show the high relevance of this improved performance in an application to electroencephalographic (EEG) recordings from epilepsy patients. Here the nonlinear predictability score again appears of higher sensitivity to nonrandomness. Importantly, it yields an improved contrast between signals recorded from brain areas where the first ictal EEG signal changes were detected (focal EEG signals) versus signals recorded from brain areas that were not involved at seizure onset (nonfocal EEG signals).

  10. Comparing Several Human and Computer-Based Methods for Scoring Concept Maps and Essays

    ERIC Educational Resources Information Center

    Koul, Ravinder; Clariana, Roy B.; Salehi, Roya

    2005-01-01

    This article reports the results of an investigation of the convergent criterion-related validity of two computer-based tools for scoring concept maps and essays as part of the ongoing formative evaluation of these tools. In pairs, participants researched a science topic online and created a concept map of the topic. Later, participants…

  11. Relationships between Inquiry-Based Teaching and Physical Science Standardized Test Scores

    ERIC Educational Resources Information Center

    Tretter, Thomas R.; Jones, M. Gail

    2003-01-01

    This exploratory case study investigates relationships between use of an inquiry-based instructional style and student scores on standardized multiple-choice tests. The study takes the form of a case study of physical science classes taught by one of the authors over a span of four school years. The first 2 years were taught using traditional…

  12. Apgar-score in children prenatally exposed to antiepileptic drugs: a population-based cohort study

    PubMed Central

    Christensen, Jakob; Pedersen, Henrik Søndergaard; Kjaersgaard, Maiken Ina Siegismund; Parner, Erik Thorlund; Vestergaard, Mogens; Sørensen, Merete Juul; Olsen, Jørn; Bech, Bodil Hammer; Pedersen, Lars Henning

    2015-01-01

    Objectives It is unknown if prenatal exposure to antiepileptic drugs (AEDs) increases the risk of low Apgar score in offspring. Setting Population-based study using health registers in Denmark. Participants We identified all 677 021 singletons born in Denmark from 1997 to 2008 and linked the Apgar score from the Medical Birth Register with information on the women's prescriptions for AEDs during pregnancy from the Danish Register of Medicinal Product Statistics. We used the Danish National Hospital Registry to identify mothers diagnosed with epilepsy before birth of the child. Results were adjusted for smoking and maternal age. Results Among 2906 children exposed to AEDs, 55 (1.9%) were born with an Apgar score ≤7 as compared with 8797 (1.3%) children among 674 115 pregnancies unexposed to AEDs (adjusted relative risk (aRR)=1.41 (95% CI 1.07 to 1.85). When analyses were restricted to the 2215 children born of mothers with epilepsy, the aRR of having a low Apgar score associated with AED exposure was 1.34 (95% CI 0.90 to 2.01) When assessing individual AEDs, we found increased, unadjusted RR for exposure to carbamazepine (RR=1.86 (95% CI 1.01 to 3.42)), valproic acid (RR=1.85 (95% CI 1.04 to 3.30)) and topiramate (RR=2.97 (95% CI 1.26 to 7.01)) when compared to unexposed children. Conclusions Prenatal exposure to AEDs was associated with increased risk of being born with a low Apgar score, but the absolute risk of a low Apgar score was <2%. Risk associated with individual AEDs indicate that the increased risk is not a class effect, but that there may be particularly high risks of a low Apgar score associated with certain AEDs. PMID:26359281

  13. Psychometric characteristics of simulation-based assessment in anaesthesia and accuracy of self-assessed scores.

    PubMed

    Weller, J M; Robinson, B J; Jolly, B; Watterson, L M; Joseph, M; Bajenov, S; Haughton, A J; Larsen, P D

    2005-03-01

    The purpose of this study was to define the psychometric properties of a simulation-based assessment of anaesthetists. Twenty-one anaesthetic trainees took part in three highly standardised simulations of anaesthetic emergencies. Scenarios were videotaped and rated independently by four judges. Trainees also assessed their own performance in the simulations. Results were analysed using generalisability theory to determine the influence of subject, case and judge on the variance in judges' scores and to determine the number of cases and judges required to produce a reliable result. Self-assessed scores were compared to the mean score of the judges. The results suggest that 12-15 cases are required to rank trainees reliably on their ability to manage simulated crises. Greater reliability is gained by increasing the number of cases than by increasing the number of judges. There was modest but significant correlation between self-assessed scores and external assessors' scores (rho = 0.321; p = 0.01). At the lower levels of performance, trainees consistently overrated their performance compared to those performing at higher levels (p = 0.0001). PMID:15710009

  14. Multi-view score fusion for content-based mammogram retrieval

    NASA Astrophysics Data System (ADS)

    Dhahbi, Sami; Barhoumi, Walid; Zagrouba, Ezzeddine

    2015-12-01

    Screening mammography provides two views for each breast: Medio-Lateral Oblique (MLO) and Cranial-Caudal (CC) views. However, current content based image retrieval (CBIR) systems analyze each view independently, in spite of their complementarities. To further improve the retrieval performance, this paper introduces a two-view CBIR system that combines retrieval results of MLO and CC views. First, we computed the similarity scores between MLO (resp. CC) ROIs in the database and the MLO (resp. CC) query ROI. These ROIs are characterized using curvelet moments. Then, a new linear weighted sum scheme combines MLO and CC scores; it assigns weights for each view according to the distribution of the classes of its neighbors. The ROIs having the highest fused scores are displayed to the radiologist and used to compute the malignancy likelihood of the lesion. Experiments performed on mammograms from the Digital Database for Screening Mammography (DDSM) show the effectiveness of the proposed method.

  15. Effect of Different Score Reports of Web-Based Formative Test on Students' Self-Regulated Learning

    ERIC Educational Resources Information Center

    Zou, Xiaoling; Zhang, Xuning

    2013-01-01

    A new score report based on a mechanism of formative assessment and feedback is developed to offer individual testees not only their final scores but also their sub-scale scores, their percentile position, as well as corresponding feedback on self-regulation strategies. Structural equation modeling is adopted in the confirmatory factor analysis to…

  16. Predicting Arterial Injuries after Penetrating Brain Trauma Based on Scoring Signs from Emergency CT Studies

    PubMed Central

    Bodanapally, Uttam K; Krejza, Jaroslaw; Saksobhavivat, Nitima; Jaffray, Paul M; Sliker, Clint W; Miller, Lisa A; Shanmuganathan, Kathirkamanathan; Dreizin, David

    2014-01-01

    Summary The objective of this study was to determine the accuracy of individual radiologists in detection of vascular injury in patients after penetrating brain injury (PBI) based on head CT findings at admission. We retrospectively evaluated 54 PBI patients who underwent admission head CT and digital subtraction angiography (DSA), used here as a reference standard. Two readers reviewed the CT images to determine the presence or absence of the 29 CT variables of injury profile and quantified selected variables. Four experienced trauma radiologists and one neuroradiologist assigned their own specific scores for each CT variable, a high score indicative of a high probability of artery injury. A sixth set consisted of the average score obtained from the five sets, generated by five experts. Receiver operating characteristic (ROC) curves were constructed for each set to assess the diagnostic performance of an individual radiologist in predicting an underlying vascular injury. The area under ROC curve (AUC) was higher for CT scores obtained from the sixth set (average of five sets of scores) of variable rank score 0.75 (95% CI 0.62-0.88) and for the rest of the data sets, the value ranged from 0.70 (95% CI 0.56-0.84) to 0.74 (95% CI 0.6-0.88). In conclusion, radiologists may be able to recommend DSA with a fair accuracy rate in selected patients, deemed ‘high-risk' for developing intracranial vascular injuries after PBI based on admission CT studies. A better approach needs to be developed to reduce the false positive rate to avoid unnecessary emergency DSA. PMID:24750698

  17. The Comparison of Accuracy Scores on the Paper and Pencil Testing vs. Computer-Based Testing

    ERIC Educational Resources Information Center

    Retnawati, Heri

    2015-01-01

    This study aimed to compare the accuracy of the test scores as results of Test of English Proficiency (TOEP) based on paper and pencil test (PPT) versus computer-based test (CBT). Using the participants' responses to the PPT documented from 2008-2010 and data of CBT TOEP documented in 2013-2014 on the sets of 1A, 2A, and 3A for the Listening and…

  18. Gene expression-based risk score in diffuse large B-cell lymphoma.

    PubMed

    Bret, Caroline; Klein, Bernard; Moreaux, Jérôme

    2012-12-01

    Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma and displays heterogeneous clinical and molecular characteristics. In this study, high throughput gene expression profiling of DLBCL tumor samples was used to design a 12-gene expression-based risk score (GERS) predictive for patient's overall survival. GERS allowed identifying a high-risk group comprising 46,4% of the DLBCL patients in two independent cohorts (n=414 and n=69). GERS was shown to be an independent predictor of survival when compared to the previously published prognostic factors, including the International Prognostic Index (IPI). GERS displayed a prognostic value in germinal-center B-cell-like subgroup (GCB) and activated B cell-like (ABC) molecular subgroups of patients as well as in DLBCL patients treated with cyclophosphamide, doxorubicin, vincristine and prednisone (CHOP) or rituximab-CHOP (R-CHOP) regimens. Combination of GERS and IPI lead to a potent prognostic classification of DLBCL patients. Finally, a genomic instability gene signature was highlighted in gene expression profiles of patients belonging to the high-risk GERS-defined group. PMID:23482333

  19. DAS28 score vs. ultrasound examination for assessment of rheumatoid arthritis disease activity: comparison and discussion of pros and cons

    PubMed Central

    Dura, Marta; Blumfield, Einat; Węgierska, Małgorzata; Żuchowski, Pawel; Wilińska-Jankowska, Arnika; Jeka, Sławomir

    2015-01-01

    Rheumatoid arthritis (RA) is a chronic systemic connective tissue disease which is characterized by symetrical multiple joints involvement and extra-articular symptoms. Current EULAR diagnostic criteria for RA include disease activity parameters, such as erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP), which are used to calculate disease activity scores, including DAS and DAS28. Recently attempts have been made to assess disease activity using imaging diagnostic modalities, such as magnetic resonance imaging (MRI) and ultrasonography (US). Due to significant progress in therapy effectiveness and early RA diagnosis possibility, imaging modalities become increasingly meaningful and many clinical trials confirm their usefulness. However, there are no consistent criteria for objective assessment of therapy effectiveness based on US. Moreover, it is not US availability that limits its common use, but rather significant variability between operators. This is why US remains only an additional tool to assess therapy efficacy with regard to DAS/DAS28 index.

  20. A Score Based on Screening Tests to Differentiate Mild Cognitive Impairment from Subjective Memory Complaints

    PubMed Central

    de Gobbi Porto, Fábio Henrique; Spíndola, Lívia; de Oliveira, Maira Okada; Figuerêdo do Vale, Patrícia Helena; Orsini, Marco; Nitrini, Ricardo; Dozzi Brucki, Sonia Maria

    2013-01-01

    It is not easy to differentiate patients with mild cognitive impairment (MCI) from subjective memory complainers (SMC). Assessments with screening cognitive tools are essential, particularly in primary care where most patients are seen. The objective of this study was to evaluate the diagnostic accuracy of screening cognitive tests and to propose a score derived from screening tests. Elderly subjects with memory complaints were evaluated using the Mini Mental State Examination (MMSE) and the Brief Cognitive Battery (BCB). We added two delayed recalls in the MMSE (a delayed recall and a late-delayed recall, LDR), and also a phonemic fluency test of letter P fluency (LPF). A score was created based on these tests. The diagnoses were made on the basis of clinical consensus and neuropsychological testing. Receiver operating characteristic curve analyses were used to determine area under the curve (AUC), the sensitivity and specificity for each test separately and for the final proposed score. MMSE, LDR, LPF and delayed recall of BCB scores reach statistically significant differences between groups (P=0.000, 0.03, 0.001 and 0.01, respectively). Sensitivity, specificity and AUC were MMSE: 64%, 79% and 0.75 (cut off <29); LDR: 56%, 62% and 0.62 (cut off <3); LPF: 71%, 71% and 0.71 (cut off <14); delayed recall of BCB: 56%, 82% and 0.68 (cut off <9). The proposed score reached a sensitivity of 88% and 76% and specificity of 62% and 75% for cut off over 1 and over 2, respectively. AUC were 0.81. In conclusion, a score created from screening tests is capable of discriminating MCI from SMC with moderate to good accurancy. PMID:24147213

  1. QualComp: a new lossy compressor for quality scores based on rate distortion theory

    PubMed Central

    2013-01-01

    Background Next Generation Sequencing technologies have revolutionized many fields in biology by reducing the time and cost required for sequencing. As a result, large amounts of sequencing data are being generated. A typical sequencing data file may occupy tens or even hundreds of gigabytes of disk space, prohibitively large for many users. This data consists of both the nucleotide sequences and per-base quality scores that indicate the level of confidence in the readout of these sequences. Quality scores account for about half of the required disk space in the commonly used FASTQ format (before compression), and therefore the compression of the quality scores can significantly reduce storage requirements and speed up analysis and transmission of sequencing data. Results In this paper, we present a new scheme for the lossy compression of the quality scores, to address the problem of storage. Our framework allows the user to specify the rate (bits per quality score) prior to compression, independent of the data to be compressed. Our algorithm can work at any rate, unlike other lossy compression algorithms. We envisage our algorithm as being part of a more general compression scheme that works with the entire FASTQ file. Numerical experiments show that we can achieve a better mean squared error (MSE) for small rates (bits per quality score) than other lossy compression schemes. For the organism PhiX, whose assembled genome is known and assumed to be correct, we show that it is possible to achieve a significant reduction in size with little compromise in performance on downstream applications (e.g., alignment). Conclusions QualComp is an open source software package, written in C and freely available for download at https://sourceforge.net/projects/qualcomp. PMID:23758828

  2. Proposal for a New Prognostic Score for Linac-Based Radiosurgery in Cerebral Arteriovenous Malformations

    SciTech Connect

    Milker-Zabel, Stefanie; Kopp-Schneider, Annette; Wiesbauer, Hannah; Schlegel, Wolfgang; Huber, Peter; Debus, Juergen; Zabel-du Bois, Angelika

    2012-06-01

    Purpose: We evaluate patient-, angioma-, and treatment-specific factors for successful obliteration of cerebral arteriovenous malformations (AVM) to develop a new appropriate score to predict patient outcome after linac-based radiosurgery (RS). Methods and Materials: This analysis in based on 293 patients with cerebral AVM. Mean age at treatment was 38.8 years (4-73 years). AVM classification according Spetzler-Martin was 55 patients Grade I (20.5%), 114 Grade II (42.5%), 79 Grade III (29.5%), 19 Grade IV (7.1%), and 1 Grade V (0.4%). Median maximum AVM diameter was 3.0 cm (range, 0.3-10 cm). Median dose prescribed to the 80% isodose was 18 Gy (range, 12-22 Gy). Eighty-five patients (29.1%) had prior partial embolization; 141 patients (51.9%) experienced intracranial hemorrhage before RS. Median follow-up was 4.2 years. Results: Age at treatment, maximum diameter, nidus volume, and applied dose were significant factors for successful obliteration. Under presumption of proportional hazard in the dose range between 12 and 22 Gy/80% isodose, an increase of obliteration rate of approximately 25% per Gy was seen. On the basis of multivariate analysis, a prediction score was calculated including AVM maximum diameter and age at treatment. The prediction error up to the time point 8 years was 0.173 for the Heidelberg score compared with the Kaplan-Meier value of 0.192. An increase of the score of 1 point results in a decrease of obliteration chance by a factor of 0.447. Conclusion: The proposed score is linac-based radiosurgery-specific and easy to handle to predict patient outcome. Further validation on an independent patient cohort is necessary.

  3. Comparison of chiropractic student scores before and after utilizing active learning techniques in a classroom setting

    PubMed Central

    Guagliardo, Joseph G.; Hoiriis, Kathryn T.

    2013-01-01

    Objective We report the differences in final examination scores achieved by students at the culmination of two different teaching strategies in an introductory skills course. Methods Multiple choice examination scores from six consecutive academic calendar sessions over 18 months (n = 503) were compared. Two groups were used: Cohort A (n = 290) represented students who were enrolled in the course 3 consecutive academic sessions before an instructional change and Cohort B (n = 213) included students who were enrolled in 3 consecutive academic sessions following the instructional change, which included a more active learning format. Statistical analyses used were 2-tailed independent t-test, one-way ANOVA, Tukey's honestly significant difference (HSD), and effect size. Results The 2-tailed independent t-test revealed a significant difference between the two groups (t = −3.71, p < .001; 95% confidence interval [CI] 1.29–4.20). Significant difference was found in the highest performing subgroup compared to the lowest performing subgroup in Cohort A (F = 3.343, p = .037). For Cohort A subgroups 1 and 2, Tukey's HSD was p < .028. In Cohort B, no difference was found among subgroups (F = 1.912, p = .150, HSD p > .105). Conclusion Compared to previous versions of the same course taught by the same instructor, the students in the new course design performed better, suggesting that using active learning techniques helps improve student achievement. PMID:23964739

  4. Systems view of adipogenesis via novel omics-driven and tissue-specific activity scoring of network functional modules.

    PubMed

    Nassiri, Isar; Lombardo, Rosario; Lauria, Mario; Morine, Melissa J; Moyseos, Petros; Varma, Vijayalakshmi; Nolen, Greg T; Knox, Bridgett; Sloper, Daniel; Kaput, Jim; Priami, Corrado

    2016-01-01

    The investigation of the complex processes involved in cellular differentiation must be based on unbiased, high throughput data processing methods to identify relevant biological pathways. A number of bioinformatics tools are available that can generate lists of pathways ranked by statistical significance (i.e. by p-value), while ideally it would be desirable to functionally score the pathways relative to each other or to other interacting parts of the system or process. We describe a new computational method (Network Activity Score Finder - NASFinder) to identify tissue-specific, omics-determined sub-networks and the connections with their upstream regulator receptors to obtain a systems view of the differentiation of human adipocytes. Adipogenesis of human SBGS pre-adipocyte cells in vitro was monitored with a transcriptomic data set comprising six time points (0, 6, 48, 96, 192, 384 hours). To elucidate the mechanisms of adipogenesis, NASFinder was used to perform time-point analysis by comparing each time point against the control (0 h) and time-lapse analysis by comparing each time point with the previous one. NASFinder identified the coordinated activity of seemingly unrelated processes between each comparison, providing the first systems view of adipogenesis in culture. NASFinder has been implemented into a web-based, freely available resource associated with novel, easy to read visualization of omics data sets and network modules. PMID:27385551

  5. Systems view of adipogenesis via novel omics-driven and tissue-specific activity scoring of network functional modules

    PubMed Central

    Nassiri, Isar; Lombardo, Rosario; Lauria, Mario; Morine, Melissa J.; Moyseos, Petros; Varma, Vijayalakshmi; Nolen, Greg T.; Knox, Bridgett; Sloper, Daniel; Kaput, Jim; Priami, Corrado

    2016-01-01

    The investigation of the complex processes involved in cellular differentiation must be based on unbiased, high throughput data processing methods to identify relevant biological pathways. A number of bioinformatics tools are available that can generate lists of pathways ranked by statistical significance (i.e. by p-value), while ideally it would be desirable to functionally score the pathways relative to each other or to other interacting parts of the system or process. We describe a new computational method (Network Activity Score Finder - NASFinder) to identify tissue-specific, omics-determined sub-networks and the connections with their upstream regulator receptors to obtain a systems view of the differentiation of human adipocytes. Adipogenesis of human SBGS pre-adipocyte cells in vitro was monitored with a transcriptomic data set comprising six time points (0, 6, 48, 96, 192, 384 hours). To elucidate the mechanisms of adipogenesis, NASFinder was used to perform time-point analysis by comparing each time point against the control (0 h) and time-lapse analysis by comparing each time point with the previous one. NASFinder identified the coordinated activity of seemingly unrelated processes between each comparison, providing the first systems view of adipogenesis in culture. NASFinder has been implemented into a web-based, freely available resource associated with novel, easy to read visualization of omics data sets and network modules. PMID:27385551

  6. Systems view of adipogenesis via novel omics-driven and tissue-specific activity scoring of network functional modules

    NASA Astrophysics Data System (ADS)

    Nassiri, Isar; Lombardo, Rosario; Lauria, Mario; Morine, Melissa J.; Moyseos, Petros; Varma, Vijayalakshmi; Nolen, Greg T.; Knox, Bridgett; Sloper, Daniel; Kaput, Jim; Priami, Corrado

    2016-07-01

    The investigation of the complex processes involved in cellular differentiation must be based on unbiased, high throughput data processing methods to identify relevant biological pathways. A number of bioinformatics tools are available that can generate lists of pathways ranked by statistical significance (i.e. by p-value), while ideally it would be desirable to functionally score the pathways relative to each other or to other interacting parts of the system or process. We describe a new computational method (Network Activity Score Finder - NASFinder) to identify tissue-specific, omics-determined sub-networks and the connections with their upstream regulator receptors to obtain a systems view of the differentiation of human adipocytes. Adipogenesis of human SBGS pre-adipocyte cells in vitro was monitored with a transcriptomic data set comprising six time points (0, 6, 48, 96, 192, 384 hours). To elucidate the mechanisms of adipogenesis, NASFinder was used to perform time-point analysis by comparing each time point against the control (0 h) and time-lapse analysis by comparing each time point with the previous one. NASFinder identified the coordinated activity of seemingly unrelated processes between each comparison, providing the first systems view of adipogenesis in culture. NASFinder has been implemented into a web-based, freely available resource associated with novel, easy to read visualization of omics data sets and network modules.

  7. Lack of utility of risk score and gynecological examination for screening for sexually transmitted infections in sexually active adolescents

    PubMed Central

    Guimarães, Eleuse MB; Guimarães, Mark DC; Vieira, Maria Aparecida S; Bontempo, Nádia M; Seixas, Mirian SS; Garcia, Mônica SD; Daud, Lyana ES; Côrtes, Rejane LM; Alves, Maria de Fátima C

    2009-01-01

    Background Sexually transmitted infections constitute the main health risk among adolescents. In developing countries the diagnosis and treatment of cervical infections is based on the syndromic approach. In this study we estimated the prevalence of Chlamydia trachomatis and Neisseria gonorrhoeae among female adolescents from a Health Sector of the city of Goiânia, Brazil, and validated cervicitis diagnosis using World Health Organization/Ministry of Health risk score and gynecological examination. Methods A cross-sectional community-based sample of 914 15- to 19-year-old female teenagers was randomly selected and referred to the local Family Health Program. Of these, 472 (51.6%) were sexually active and gynecological examinations were carried out for 427. Endocervical samples were collected to perform the polymerase chain reaction for C. trachomatis and N. gonorrhoeae. Performance of risk score, the presence of mucopurulent discharge, friability, ectopia and pain during cervical maneuver were compared with the presence of C. trachomatis or N. gonorrhoeae or both. Results The prevalence of C. trachomatis and N. gonorrhoeae was 14.5% and 2.1%, respectively. The risk score had a specificity of 31.9% (95% confidence interval, 21.2 to 44.2) and a positive predictive value of 20.8% (95% confidence interval, 13.5 to 29.7). Friability was the component of the gynecological examination that presented the best performance with a sensitivity of 43.5%, specificity of 81.0%, and 30.6% of positive predictive value. Conclusion The prevalence of infection by C. trachomatis and N. gonorrhoeae was high among these sexually active adolescents. The syndromic approach is clearly inadequate for screening and treating these infections in this population. Therefore, the implantation of other strategies to control these infections among adolescents is urgently required. PMID:19284575

  8. Performance characteristics of the simplified version of ankylosing spondylitis disease activity score (SASDAS).

    PubMed

    Solmaz, Dilek; Yildirim, Tulay; Avci, Okan; Tomas, Nazmiye; Akar, Servet

    2016-07-01

    Various types of disease activity measures are available for axial spondyloarthritis (axSpA), and there is no gold standard for all individual patients. The ankylosing spondylitis disease activity score (ASDAS) is highly discriminatory, sensitive to change, and associated with structural progression. A simplified version of the ASDAS (SASDAS) was proposed and found to be a simple and practical tool to assess disease activity. Our aim was to test the performance characteristics of the SASDAS and compare it with validated tools. In total, 97 consecutive ankylosing spondylitis (AS) patients were included in the study. Disease activity was assessed by the ASDAS-erythrocyte sedimentation rate (ESR), ASDAS-C-reactive protein (CRP), bath ankylosing spondylitis disease activity index (BASDAI), and SASDAS. The relationship among these activity indices and the level of agreement of various activity categories were tested. There was a strong correlation between the SASDAS and other activity indices, including the BASDAI (r = 0.916, p < 0.001), ASDAS-CRP (r = 0.847, p < 0.001), and ASDAS-ESR (r = 0.942, p < 0.001). Although the agreement between the ASDAS-ESR and SASDAS was good (weighted kappa of 0.744 and total agreement of 77 %), there was moderate agreement between the ASDAS-CRP and SASDAS (weighted kappa of 0.579 and total agreement of 66 %). The disagreement was particularly striking in "moderate" and "high disease activity" states. Approximately 40 % of patients classified as moderate activity according to the ASDAS-ESR and 45 % according to the ASDAS-CRP were differentially categorized by the SASDAS. The results of the present analysis suggest that the simplified version of the ASDAS-ESR should be further validated in various settings and populations due to a questionable level of agreement between the ASDAS-CRP and SASDAS. PMID:26670454

  9. The effects of calculator-based laboratories on standardized test scores

    NASA Astrophysics Data System (ADS)

    Stevens, Charlotte Bethany Rains

    Nationwide, the goal of providing a productive science and math education to our youth in today's educational institutions is centering itself around the technology being utilized in these classrooms. In this age of digital technology, educational software and calculator-based laboratories (CBL) have become significant devices in the teaching of science and math for many states across the United States. Among the technology, the Texas Instruments graphing calculator and Vernier Labpro interface, are among some of the calculator-based laboratories becoming increasingly popular among middle and high school science and math teachers in many school districts across this country. In Tennessee, however, it is reported that this type of technology is not regularly utilized at the student level in most high school science classrooms, especially in the area of Physical Science (Vernier, 2006). This research explored the effect of calculator based laboratory instruction on standardized test scores. The purpose of this study was to determine the effect of traditional teaching methods versus graphing calculator teaching methods on the state mandated End-of-Course (EOC) Physical Science exam based on ability, gender, and ethnicity. The sample included 187 total tenth and eleventh grade physical science students, 101 of which belonged to a control group and 87 of which belonged to the experimental group. Physical Science End-of-Course scores obtained from the Tennessee Department of Education during the spring of 2005 and the spring of 2006 were used to examine the hypotheses. The findings of this research study suggested the type of teaching method, traditional or calculator based, did not have an effect on standardized test scores. However, the students' ability level, as demonstrated on the End-of-Course test, had a significant effect on End-of-Course test scores. This study focused on a limited population of high school physical science students in the middle Tennessee

  10. New Morbidity and Comorbidity Scores based on the Structure of the ICD-10.

    PubMed

    Stausberg, Jürgen; Hagn, Stefan

    2015-01-01

    Measures of morbidity and comorbidity are frequently used for the control of confounding, particularly in health services research. Several proposals for those measures are defined with ICD-coded diagnoses available in hospital routine data. However, a measure that makes use of the ICD structure is missing. Objective of this work was to elaborate the power of the ICD structure for defining morbidity and comorbidity measures. Routine data from three German hospitals with inpatients discharged 2008 were used for model development; routine data from 36 German hospitals with inpatients admitted and discharged 2010 were used for model evaluation. Two different risk models were developed, one based on ICD-10 chapters, the other based on ICD-10 groups. The models were transformed into sum scores using whole-number weights. Models and scores were compared with the Charlson Index and the Elixhauser Comorbidities using the receiver operating characteristic. Dependent variable was hospital death. Logistic regression was used to derive the new models. Charlson Index and Elixhauser Comorbidities were mapped to the German ICD-10. According to the receiver operating characteristic, the quality of the measures based on the structure of the ICD-10 was superior compared with the Charlson Index and the Elixhauser Comorbidities. The best result was achieved with the measure based on ICD-10-groups with an area under curve of 0.910 (95% confidence interval = 0.907-0.913). The sum scores showed a comparable performance. The developed new measures may be used to control for confounding. PMID:26656501

  11. New Morbidity and Comorbidity Scores based on the Structure of the ICD-10

    PubMed Central

    Stausberg, Jürgen; Hagn, Stefan

    2015-01-01

    Measures of morbidity and comorbidity are frequently used for the control of confounding, particularly in health services research. Several proposals for those measures are defined with ICD-coded diagnoses available in hospital routine data. However, a measure that makes use of the ICD structure is missing. Objective of this work was to elaborate the power of the ICD structure for defining morbidity and comorbidity measures. Routine data from three German hospitals with inpatients discharged 2008 were used for model development; routine data from 36 German hospitals with inpatients admitted and discharged 2010 were used for model evaluation. Two different risk models were developed, one based on ICD-10 chapters, the other based on ICD-10 groups. The models were transformed into sum scores using whole-number weights. Models and scores were compared with the Charlson Index and the Elixhauser Comorbidities using the receiver operating characteristic. Dependent variable was hospital death. Logistic regression was used to derive the new models. Charlson Index and Elixhauser Comorbidities were mapped to the German ICD-10. According to the receiver operating characteristic, the quality of the measures based on the structure of the ICD-10 was superior compared with the Charlson Index and the Elixhauser Comorbidities. The best result was achieved with the measure based on ICD-10-groups with an area under curve of 0.910 (95% confidence interval = 0.907–0.913). The sum scores showed a comparable performance. The developed new measures may be used to control for confounding. PMID:26656501

  12. A Comparison of Systemic Inflammation-Based Prognostic Scores in Patients on Regular Hemodialysis

    PubMed Central

    Kato, Akihiko; Tsuji, Takayuki; Sakao, Yukitoshi; Ohashi, Naro; Yasuda, Hideo; Fujimoto, Taiki; Takita, Takako; Furuhashi, Mitsuyoshi; Kumagai, Hiromichi

    2013-01-01

    Background/Aims Systemic inflammation-based prognostic scores have prognostic power in patients with cancer, independently of tumor stage and site. Although inflammatory status is associated with mortality in hemodialysis (HD) patients, it remains to be determined as to whether these composite scores are useful in predicting clinical outcomes. Methods We calculated the 6 prognostic scores [Glasgow prognostic score (GPS), modified GPS (mGPS), neutrophil-lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), prognostic index (PI) and prognostic nutritional index (PNI), which have been established as a useful scoring system in cancer patients. We enrolled 339 patients on regular HD (age: 64 ± 13 years; time on HD: 129 ± 114 months; males/females = 253/85) and followed them for 42 months. The area under the receiver-operating characteristics curve was used to determine which scoring system was more predictive of mortality. Results Elevated GPS, mGPS, NLR, PLR, PI and PNI were all associated with total mortality, independent of covariates. If GPS was raised, mGPS, NLR, PLR and PI were also predictive of all-cause mortality and/or hospitalization. GPS and PNI were associated with poor nutritional status. Using overall mortality as an endpoint, the area under the curve (AUC) was significant for a GPS of 0.701 (95% CI: 0.637-0.765; p < 0.01) and for a PNI of 0.616 (95% CI: 0.553-0.768; p = 0.01). However, AUC for hypoalbuminemia (<3.5 g/dl) was comparable to that of GPS (0.695, 95% CI: 0.632-0.759; p < 0.01). Conclusion GPS, based on serum albumin and highly sensitive C-reactive protein, has the most prognostic power for mortality prediction among the prognostic scores in HD patients. However, as the determination of serum albumin reflects mortality similarly to GPS, other composite combinations are needed to provide additional clinical utility beyond that of albumin alone in HD patients. PMID:24403910

  13. Fast and Rigorous Computation of Gene and Pathway Scores from SNP-Based Summary Statistics

    PubMed Central

    Rueedi, Rico; Kutalik, Zoltán; Bergmann, Sven

    2016-01-01

    Integrating single nucleotide polymorphism (SNP) p-values from genome-wide association studies (GWAS) across genes and pathways is a strategy to improve statistical power and gain biological insight. Here, we present Pascal (Pathway scoring algorithm), a powerful tool for computing gene and pathway scores from SNP-phenotype association summary statistics. For gene score computation, we implemented analytic and efficient numerical solutions to calculate test statistics. We examined in particular the sum and the maximum of chi-squared statistics, which measure the strongest and the average association signals per gene, respectively. For pathway scoring, we use a modified Fisher method, which offers not only significant power improvement over more traditional enrichment strategies, but also eliminates the problem of arbitrary threshold selection inherent in any binary membership based pathway enrichment approach. We demonstrate the marked increase in power by analyzing summary statistics from dozens of large meta-studies for various traits. Our extensive testing indicates that our method not only excels in rigorous type I error control, but also results in more biologically meaningful discoveries. PMID:26808494

  14. Comparison of tobacco control policies in the Eastern Mediterranean countries based on Tobacco Control Scale scores.

    PubMed

    Heydari, G; Talischi, F; Masjedi, M R; Alguomani, H; Joossens, L; Ghafari, M

    2012-08-01

    This cross-sectional survey aimed to provide an overview of tobacco control strategies in the countries of the Eastern Mediterranean Region (EMR). A questionnaire to collate data on implementation of 6 major policies was developed based on the previously published Tobacco Control Scale and using MPOWER measures of the WHO Tobacco Free Initiative and the Tobacco Atlas. Only 3 of the 21 countries scored higher than 50 out of 100: Islamic Republic of Iran (61), Jordan (55) and Egypt (51) More than half of countries scored less than 26. Highest scores were achieved by Afghanistan in cigarette pricing, Oman in smoking bans in public places, Islamic Republic of Iran in budgeting, prohibition of advertisements and health warnings against smoking and Syrian Arab Republic, Tunisia and Kuwait in tobacco cessation programmes. The low mean total score in EMR countries (29.7) compared with European countries (47.2) highlights the need for better future planning and policy-making for tobacco control in the Region. PMID:23057368

  15. Fast and Rigorous Computation of Gene and Pathway Scores from SNP-Based Summary Statistics.

    PubMed

    Lamparter, David; Marbach, Daniel; Rueedi, Rico; Kutalik, Zoltán; Bergmann, Sven

    2016-01-01

    Integrating single nucleotide polymorphism (SNP) p-values from genome-wide association studies (GWAS) across genes and pathways is a strategy to improve statistical power and gain biological insight. Here, we present Pascal (Pathway scoring algorithm), a powerful tool for computing gene and pathway scores from SNP-phenotype association summary statistics. For gene score computation, we implemented analytic and efficient numerical solutions to calculate test statistics. We examined in particular the sum and the maximum of chi-squared statistics, which measure the strongest and the average association signals per gene, respectively. For pathway scoring, we use a modified Fisher method, which offers not only significant power improvement over more traditional enrichment strategies, but also eliminates the problem of arbitrary threshold selection inherent in any binary membership based pathway enrichment approach. We demonstrate the marked increase in power by analyzing summary statistics from dozens of large meta-studies for various traits. Our extensive testing indicates that our method not only excels in rigorous type I error control, but also results in more biologically meaningful discoveries. PMID:26808494

  16. Numeric score-based conditional and overall change-in-status indices for ordered categorical data.

    PubMed

    Lyles, Robert H; Kupper, Lawrence L; Barnhart, Huiman X; Martin, Sandra L

    2015-11-30

    Planned interventions and/or natural conditions often effect change on an ordinal categorical outcome (e.g., symptom severity). In such scenarios, it is sometimes desirable to assign a priori scores to observed changes in status, typically giving higher weight to changes of greater magnitude. We define change indices for such data based upon a multinomial model for each row of a c × c table, where the rows represent the baseline status categories. We distinguish an index designed to assess conditional changes within each baseline category from two others designed to capture overall change. One of these overall indices measures expected change across a target population. The other is scaled to capture the proportion of total possible change in the direction indicated by the data, so that it ranges from -1 (when all subjects finish in the least favorable category) to +1 (when all finish in the most favorable category). The conditional assessment of change can be informative regardless of how subjects are sampled into the baseline categories. In contrast, the overall indices become relevant when subjects are randomly sampled at baseline from the target population of interest, or when the investigator is able to make certain assumptions about the baseline status distribution in that population. We use a Dirichlet-multinomial model to obtain Bayesian credible intervals for the conditional change index that exhibit favorable small-sample frequentist properties. Simulation studies illustrate the methods, and we apply them to examples involving changes in ordinal responses for studies of sleep deprivation and activities of daily living. PMID:26137898

  17. An Empirical Comparison of Tree-Based Methods for Propensity Score Estimation

    PubMed Central

    Watkins, Stephanie; Jonsson-Funk, Michele; Brookhart, M Alan; Rosenberg, Steven A; O'Shea, T Michael; Daniels, Julie

    2013-01-01

    Objective To illustrate the use of ensemble tree-based methods (random forest classification [RFC] and bagging) for propensity score estimation and to compare these methods with logistic regression, in the context of evaluating the effect of physical and occupational therapy on preschool motor ability among very low birth weight (VLBW) children. Data Source We used secondary data from the Early Childhood Longitudinal Study Birth Cohort (ECLS-B) between 2001 and 2006. Study Design We estimated the predicted probability of treatment using tree-based methods and logistic regression (LR). We then modeled the exposure-outcome relation using weighted LR models while considering covariate balance and precision for each propensity score estimation method. Principal Findings Among approximately 500 VLBW children, therapy receipt was associated with moderately improved preschool motor ability. Overall, ensemble methods produced the best covariate balance (Mean Squared Difference: 0.03–0.07) and the most precise effect estimates compared to LR (Mean Squared Difference: 0.11). The overall magnitude of the effect estimates was similar between RFC and LR estimation methods. Conclusion Propensity score estimation using RFC and bagging produced better covariate balance with increased precision compared to LR. Ensemble methods are a useful alterative to logistic regression to control confounding in observational studies. PMID:23701015

  18. 12 CFR Appendix H to Part 222 - Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... Score Disclosure Exception Notices H Appendix H to Part 222 Banks and Banking FEDERAL RESERVE SYSTEM..., App. H Appendix H to Part 222—Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception... form H-1 is for use in complying with the general risk-based pricing notice requirements in §...

  19. Genetic scores based on risk-associated single nucleotide polymorphisms (SNPs) can reveal inherited risk of renal cell carcinoma

    PubMed Central

    Chen, Haitao; Lin, Xiaolin; Yu, Yang; Gou, Yuancheng; Hou, Jiangang; Jiang, Deke; Na, Rong; Wang, Xiang; Ding, Qiang; Xu, Jianfeng

    2016-01-01

    The objective of this study was to evaluate whether renal cell carcinoma (RCC) risk-associated single nucleotide polymorphisms (SNPs) could reflect the individual inherited risks of RCC. A total of 346 RCC patients and 1,130 controls were recruited in this case-control study. Genetic scores were calculated for each individual based on the odds ratios and frequencies of risk-associated SNPs. Four SNPs were significantly associated with RCC in Chinese population. Two genetic score models were established, genetic score 1 (rs10054504, rs7023329 and rs718314) and genetic score 2 (rs10054504, rs7023329 and rs1049380). For genetic score 1, the individual likelihood of RCC with low (<0.8), medium (0.8-1.2) and high (≥1.2) genetic score 1 was 15.61%, 22.25% and 33.92% respectively (P-trend=6.88×10−7). For genetic score 2, individual with low (<0.8), medium (0.8-1.2) and high (≥1.2) genetic score 2 would have likelihood of RCC as 14.39%, 24.54% and 36.48%, respectively (P-trend=1.27×10−10). The area under the receiver operating curve (AUC) of genetic score 1 was 0.626, and AUC of genetic score 2 was 0.658. We concluded that genetic score can reveal personal risk and inherited risk of RCC, especially when family history is not available. PMID:27229762

  20. The East London glaucoma prediction score: web-based validation of glaucoma risk screening tool

    PubMed Central

    Stephen, Cook; Benjamin, Longo-Mbenza

    2013-01-01

    AIM It is difficult for Optometrists and General Practitioners to know which patients are at risk. The East London glaucoma prediction score (ELGPS) is a web based risk calculator that has been developed to determine Glaucoma risk at the time of screening. Multiple risk factors that are available in a low tech environment are assessed to provide a risk assessment. This is extremely useful in settings where access to specialist care is difficult. Use of the calculator is educational. It is a free web based service. Data capture is user specific. METHOD The scoring system is a web based questionnaire that captures and subsequently calculates the relative risk for the presence of Glaucoma at the time of screening. Three categories of patient are described: Unlikely to have Glaucoma; Glaucoma Suspect and Glaucoma. A case review methodology of patients with known diagnosis is employed to validate the calculator risk assessment. RESULTS Data from the patient records of 400 patients with an established diagnosis has been captured and used to validate the screening tool. The website reports that the calculated diagnosis correlates with the actual diagnosis 82% of the time. Biostatistics analysis showed: Sensitivity = 88%; Positive predictive value = 97%; Specificity = 75%. CONCLUSION Analysis of the first 400 patients validates the web based screening tool as being a good method of screening for the at risk population. The validation is ongoing. The web based format will allow a more widespread recruitment for different geographic, population and personnel variables. PMID:23550097

  1. Correlation of Paraoxonase Status with Disease Activity Score and Systemic Inflammation in Rheumatoid Arthritic Patients

    PubMed Central

    Bindal, Usha Dudeja; Siddiqui, Merajul Haque; Sharma, Dilutpal

    2016-01-01

    Introduction Despite, various preventive efforts on conventional cardiovascular disease (CVD) risk factors, the incidence of CVD in rheumatoid arthritis (RA) patients increases continuously. To solve this conundrum one needs more investigations. Aim The present study was conducted to evaluate the plasma paraoxonase (PON) activity along with the markers of systemic inflammation, oxidative stress and disease activity score-28 (DAS28) in RA patients and clarify their role in determining the probability of RA patients to develop future CVD risk. Materials and Methods Plasma PON, total antioxidant activity (TAA), C-reactive protein (CRP), synovial interleukin-6 (IL-6) and erythrocyte malondialdehyde (MDA) levels were estimated in 40 RA patients aged 40-55 years aged and 40 age-matched healthy controls. The data obtained were compared statistically by using Student’s t-test and Pearson correlation test. Results Besides dyslipidaemia, marked reduction in plasma PON and TAA (p< 0.05) were observed in RA patients as compared with that of healthy controls. Erythrocyte MDA, plasma CRP and synovial IL-6 levels were increased significantly (p<0.05) in RA patients. PON was negatively correlated with MDA (r = - 0.672; p < 0.001), CRP (r = -0.458; p<0.05), IL-6 (r = -0.426; p<0.05) and DAS28 (r = -0.598; p < 0.001), and positively correlated with HDL cholesterol (r = 0.648; p<0.001) and TAA (r = 0.608; p< 0.001) levels in RA patients. Conclusion Alteration in PON activity might contribute to the progression of future CVD risk in RA patients, which may result from interplay of several confounding factors, such as inflammation, oxidative stress and dyslipidaemia. Furthermore, plasma PON activity, CRP and TAA levels could be considered as non-traditional factors to predict CVD risk. Thus, it is suggested that future drugs could be developed to target the non-traditional risk factors in RA patients. PMID:27134854

  2. Clinical effect of Kudiezi injection on renal function based on propensity score.

    PubMed

    Zhang, Zhao-kang; Yang, Wei; Liu, Huan; Zeng, Xian-bin; Zhuang, Yan; Xie, Yan-ming

    2015-07-01

    To explore the effect of Kudiezi injection on renal function in the real world, in order to provide the basis for the clinical medication safety. Patient aged between 18-80 were selected from 18 large hospitals information system (HIS) databases established by clinical research institute for basic traditional Chinese medicine of China academy of Chinese medical sciences. The patients who were treated with Kudiezi injection (24 225 cases) were defined as the exposed group, whereas those who were not treated with Kudiezi injection (14,191 cases) were defined as the non-exposed group. The propensity score method was used to balance the confounding factors. Classic logistic regression, GBM weighted propensity score logistic regression, GBM propensity score weighted logistic regression with covariate and sensitivity analysis were adopted to study the effect of Kudiezi injection on renal function. The results showed no significant difference in the possibility in abnormality in serum creatinine (Scr) (P = 0.940, 0.679, 0.834) and urea nitrogen (BUN) (P = 0, 0.045, 0.164) between both groups. Therefore, the existing data indicated no damage of Kudiezi injection on renal function. Because this study is a retrospective study based on the real world, there may be unknown confounding factors and potential bias. Therefore, further studies shall be conducted to monitor whether Kudiezi injection causes damage on renal function, in order to ensure the clinical medication safety. PMID:26697696

  3. An interval-valued intuitionistic fuzzy TOPSIS method based on an improved score function.

    PubMed

    Bai, Zhi-yong

    2013-01-01

    This paper proposes an improved score function for the effective ranking order of interval-valued intuitionistic fuzzy sets (IVIFSs) and an interval-valued intuitionistic fuzzy TOPSIS method based on the score function to solve multicriteria decision-making problems in which all the preference information provided by decision-makers is expressed as interval-valued intuitionistic fuzzy decision matrices where each of the elements is characterized by IVIFS value and the information about criterion weights is known. We apply the proposed score function to calculate the separation measures of each alternative from the positive and negative ideal solutions to determine the relative closeness coefficients. According to the values of the closeness coefficients, the alternatives can be ranked and the most desirable one(s) can be selected in the decision-making process. Finally, two illustrative examples for multicriteria fuzzy decision-making problems of alternatives are used as a demonstration of the applications and the effectiveness of the proposed decision-making method. PMID:24459449

  4. Structure-Based Consensus Scoring Scheme for Selecting Class A Aminergic GPCR Fragments.

    PubMed

    Kelemen, Ádám A; Kiss, Róbert; Ferenczy, György G; Kovács, László; Flachner, Beáta; Lőrincz, Zsolt; Keserű, György M

    2016-02-22

    Aminergic G-protein coupled receptors (GPRCs) represent well-known targets of central nervous-system related diseases. In this study a structure-based consensus virtual screening scheme was developed for designing targeted fragment libraries against class A aminergic GPCRs. Nine representative aminergic GPCR structures were selected by first clustering available X-ray structures and then choosing the one in each cluster that performs best in self-docking calculations. A consensus scoring protocol was developed using known promiscuous aminergic ligands and decoys as a training set. The consensus score (FrACS-fragment aminergic consensus score) calculated for the optimized protein ensemble showed improved enrichments in most cases as compared to stand-alone structures. Retrospective validation was carried out on public screening data for aminergic targets (5-HT1 serotonin receptor, TA1 trace-amine receptor) showing 8-17-fold enrichments using an ensemble of aminergic receptor structures. The performance of the structure based FrACS in combination with our ligand-based prefilter (FrAGS) was investigated both in a retrospective validation on the ChEMBL database and in a prospective validation on an in-house fragment library. In prospective validation virtual fragment hits were tested on 5-HT6 serotonin receptors not involved in the development of FrACS. Six out of the 36 experimentally tested fragments exhibited remarkable antagonist efficacies, and 4 showed IC50 values in the low micromolar or submicromolar range in a cell-based assay. Both retrospective and prospective validations revealed that the methodology is suitable for designing focused class A GPCR fragment libraries from large screening decks, commercial compound collections, or virtual databases. PMID:26760056

  5. Evidence-Based Decision about Test Scoring Rules in Clinical Anatomy Multiple-Choice Examinations

    ERIC Educational Resources Information Center

    Severo, Milton; Gaio, A. Rita; Povo, Ana; Silva-Pereira, Fernanda; Ferreira, Maria Amélia

    2015-01-01

    In theory the formula scoring methods increase the reliability of multiple-choice tests in comparison with number-right scoring. This study aimed to evaluate the impact of the formula scoring method in clinical anatomy multiple-choice examinations, and to compare it with that from the number-right scoring method, hoping to achieve an…

  6. Countries’ Biomedical Publications and Attraction Scores. A PubMed-based assessment

    PubMed Central

    Xu, Qinyi; Boggio, Andrea; Ballabeni, Andrea

    2015-01-01

    Studying publication volumes at the country level is key to understanding and improving a country’s research system. PubMed is a public search engine of publications in all life sciences areas. Here, we show how this search engine can be used to assess the outputs of life science-related research by country. We have measured the numbers of publications during different time periods based on the country of affiliation of the first authors. Moreover, we have designed scores, which we have named Attraction Scores, to appraise the relative focus either toward particular types of studies, such as clinical trials or reviews, or toward specific research areas, such as public health and pharmacogenomics, or toward specific topics, for instance embryonic stem cells; we have also investigated a possible use of these Attraction Scores in connection with regulatory policies. We have weighed the statistics against general indicators such as country populations and gross domestic products (GDP). During the 5-year period 2008-2012, the United States was the country with the highest number of publications and Denmark the one with the highest number of publications per capita. Among the 40 countries with the highest GDPs, Israel had the highest publications-to-GDP ratio. Among the 20 countries with the most publications, Japan had the highest Attraction Score for induced pluripotent stem (iPS) cells and Italy the highest proportion of review publications. More than 50% of publications in English were from countries in which English is not the primary language. We show an assorted and extensive collection of rankings and charts that will inform scholars and policymakers in studying and improving the research systems both at the national and international level. PMID:26401263

  7. Development of an Antibiotic Spectrum Score Based on Veterans Affairs Culture and Susceptibility Data for the Purpose of Measuring Antibiotic De-Escalation: A Modified Delphi Approach

    PubMed Central

    Madaras-Kelly, Karl; Jones, Makoto; Remington, Richard; Hill, Nicole; Huttner, Benedikt; Samore, Matthew

    2016-01-01

    OBJECTIVE Development of a numerical score to measure the microbial spectrum of antibiotic regimens (spectrum score) and method to identify antibiotic de-escalation events based on application of the score. DESIGN Web-based modified Delphi method. PARTICIPANTS Physician and pharmacist antimicrobial stewards practicing in the United States recruited through infectious diseases–focused listservs. METHODS Three Delphi rounds investigated: organisms and antibiotics to include in the spectrum score, operationalization of rules for the score, and de-escalation measurement. A 4-point ordinal scale was used to score antibiotic susceptibility for organism-antibiotic domain pairs. Antibiotic regimen scores, which represented combined activity of antibiotics in a regimen across all organism domains, were used to compare antibiotic spectrum administered early (day 2) and later (day 4) in therapy. Changes in spectrum score were calculated and compared with Delphi participants’ judgments on de-escalation with 20 antibiotic regimen vignettes and with non-Delphi steward judgments on de-escalation of 300 pneumonia regimen vignettes. Method sensitivity and specificity to predict expert de-escalation status were calculated. RESULTS Twenty-four participants completed all Delphi rounds. Expert support for concepts utilized in metric development was identified. For vignettes presented in the Delphi, the sign of change in score correctly classified de-escalation in all vignettes except those involving substitution of oral antibiotics. The sensitivity and specificity of the method to identify de-escalation events as judged by non-Delphi stewards were 86.3% and 96.0%, respectively. CONCLUSIONS Identification of de-escalation events based on an algorithm that measures microbial spectrum of antibiotic regimens generally agreed with steward judgments of de-escalation status. PMID:25111918

  8. Parents' differential treatment and adolescents' delinquent behaviors: direct and indirect effects of difference-score and perception-based measures.

    PubMed

    Jensen, Alexander C; Whiteman, Shawn D

    2014-08-01

    A body of work reveals that parents' differential treatment (PDT) is linked to adolescents' adjustment. To date, researchers have generally used 1 of 2 different methods of assessing PDT-difference scores or perception-based measures-yet have largely failed to consider whether these measures index similar or distinct aspects of PDT. The current study examined these distinctions and the conceptual and empirical links between these 2 approaches by assessing the direct and indirect associations (difference scores via perceptions) of PDT and adolescents' delinquency and substance use. Furthermore, we explored whether these within-family differences were moderated by between-family differences in levels of parenting. Data were analyzed from 282 adolescent sibling pairs (N = 564; older siblings, M = 17.17 years old, SD = .94; younger siblings, M = 14.52 years old, SD = 1.27). Results from structural equation models revealed that for youth in affectively mild (low in conflict and intimacy) and intense families (high in conflict and intimacy), difference scores and perceptions were uniquely and directly linked to adjustment, such that less favored treatment and the perception of less favored treatment was linked to greater participation in delinquent activities and substance use. In addition, in several instances, difference scores for youth in affectively mild and intense families were indirectly linked to delinquency and substance use through the perception of PDT. Discussion focuses on the distinctions and links between these 2 approaches within the social comparison theory framework and the greater context of family levels of conflict and intimacy. PMID:24821522

  9. Parents’ Differential Treatment and Adolescents’ Delinquent Behaviors: Direct and Indirect Effects of Difference Score- and Perception-Based Measures

    PubMed Central

    Jensen, Alexander C.; Whiteman, Shawn D.

    2014-01-01

    A body of work reveals that parents’ differential treatment (PDT) is linked to adolescents’ adjustment. To date, researchers have generally used one of two different methods of assessing PDT--difference scores or perception-based measures--yet, have largely failed to consider whether these measures index similar or distinct aspects of PDT. The current study examined these distinctions and the conceptual and empirical links between these two approaches by assessing the direct and indirect associations (difference scores via perceptions) of PDT and adolescents’ delinquency and substance use. Furthermore, we explored whether these within-family differences were moderated by between-family differences in levels of parenting. Data were analyzed from 282 adolescent sibling pairs (N = 564; older siblings, M = 17.17 years old, SD = .94; younger siblings, M = 14.52 years old, SD = 1.27). Results from structural equation models revealed that for youth in affectively mild (low in conflict and intimacy) and intense families (high in conflict and intimacy), difference scores and perceptions were uniquely and directly linked to adjustment, such that less favored treatment and the perception of less favored treatment was linked to greater participation in delinquent activities and substance use. Additionally, in several instances difference scores for youth in affectively mild and intense families were indirectly linked to delinquency and substance use through the perception of PDT. Discussion focuses on the distinctions and links between these two approaches within the Social Comparison Theory framework and the greater context of family levels of conflict and intimacy. PMID:24821522

  10. Team-based learning on a third-year pediatric clerkship improves NBME subject exam blood disorder scores

    PubMed Central

    Saudek, Kris; Treat, Robert

    2015-01-01

    Purpose At our institution, speculation amongst medical students and faculty exists as to whether team-based learning (TBL) can improve scores on high-stakes examinations over traditional didactic lectures. Faculty with experience using TBL developed and piloted a required TBL blood disorders (BD) module for third-year medical students on their pediatric clerkship. The purpose of this study is to analyze the BD scores from the NBME subject exams before and after the introduction of the module. Methods We analyzed institutional and national item difficulties for BD items from the NBME pediatrics content area item analysis reports from 2011 to 2014 before (pre) and after (post) the pilot (October 2012). Total scores of 590 NBME subject examination students from examinee performance profiles were analyzed pre/post. t-Tests and Cohen's d effect sizes were used to analyze item difficulties for institutional versus national scores and pre/post comparisons of item difficulties and total scores. Results BD scores for our institution were 0.65 (±0.19) compared to 0.62 (±0.15) nationally (P=0.346; Cohen's d=0.15). The average of post-consecutive BD scores for our students was 0.70 (±0.21) compared to examinees nationally [0.64 (±0.15)] with a significant mean difference (P=0.031; Cohen's d=0.43). The difference in our institutions pre [0.65 (±0.19)] and post [0.70 (±0.21)] BD scores trended higher (P=0.391; Cohen's d=0.27). Institutional BD scores were higher than national BD scores for both pre and post, with an effect size that tripled from pre to post scores. Institutional BD scores increased after the use of the TBL module, while overall exam scores remained steadily above national norms. Conclusions Institutional BD scores were higher than national BD scores for both pre and post, with an effect size that tripled from pre to post scores. Institutional BD scores increased after the use of the TBL module, while overall exam scores remained steadily above national

  11. Alternative Methods to Curriculum-Based Measurement for Written Expression: Implications for Reliability and Validity of the Scores

    ERIC Educational Resources Information Center

    Merrigan, Teresa E.

    2012-01-01

    The purpose of the current study was to evaluate the psychometric properties of alternative approaches to administering and scoring curriculum-based measurement for written expression. Specifically, three response durations (3, 5, and 7 minutes) and six score types (total words written, words spelled correctly, percent of words spelled correctly,…

  12. Symmetric dimethylarginine (SDMA) serum levels in rheumatoid arthritis: correlations with insulin resistance and disease activity scores.

    PubMed

    Dimitroulas, Theodoros; Hodson, James; Sandoo, Aamer; Smith, Jacqueline; Kitas, George D

    2015-09-01

    Vascular abnormalities predisposing to atherosclerosis are present in patients with rheumatoid arthritis (RA) and associate with excess cardiovascular risk. Symmetric dimethylarginine (SDMA), an endogenous inhibitor of nitric oxide (NO) synthase activity, has been recognised as novel risk factor for endothelial dysfunction and cardiovascular disease. We aimed to compare SDMA levels in RA patients and controls and to investigate whether they are influenced by demographic, inflammatory or metabolic factors. Serum SDMA levels were measured in 197 RA individuals [median age: 67 years (quartiles: 59-3), 153 (78 %) females] and 82 controls [median age: 44 years [quartiles: 33-55, 50 (61 %) females]. Routine biochemistry tests, lipid profile, glycemic profile [glucose, insulin, homeostasis model assessment (HOMA-IR), quantitative insulin sensitivity check index (QUICKI)], as well as inflammatory markers were measured in all patients. Paired analysis was employed for the comparison of SDMA in two groups and multivariable regression models were performed to identify predictors of SDMA in the RA cohort. SDMA was significantly lower in RA than control patients in both unpaired and paired analyses (P < 0.001 and P = 0.005, respectively), with the magnitude of the difference being similar in both models. QUICKI (P = 0.005) and disease activity score-28 (P = 0.007) were positively related to SDMA in the RA cohort, whilst a negative correlation with renal function (eGFR) was detected (P = 0.005). The molecular explanation of lower serum SDMA is unclear, but the established relationships with indices of disease activity and insulin resistance, may underline the pathogenetic role of the L-arginine/NO pathway dysregulation in the development of atherosclerosis in RA. The biological and clinical importance of SDMA in RA remains to be evaluated in clinical and experimental studies. PMID:25772817

  13. SCMPSP: Prediction and characterization of photosynthetic proteins based on a scoring card method

    PubMed Central

    2015-01-01

    Background Photosynthetic proteins (PSPs) greatly differ in their structure and function as they are involved in numerous subprocesses that take place inside an organelle called a chloroplast. Few studies predict PSPs from sequences due to their high variety of sequences and structues. This work aims to predict and characterize PSPs by establishing the datasets of PSP and non-PSP sequences and developing prediction methods. Results A novel bioinformatics method of predicting and characterizing PSPs based on scoring card method (SCMPSP) was used. First, a dataset consisting of 649 PSPs was established by using a Gene Ontology term GO:0015979 and 649 non-PSPs from the SwissProt database with sequence identity <= 25%.- Several prediction methods are presented based on support vector machine (SVM), decision tree J48, Bayes, BLAST, and SCM. The SVM method using dipeptide features-performed well and yielded - a test accuracy of 72.31%. The SCMPSP method uses the estimated propensity scores of 400 dipeptides - as PSPs and has a test accuracy of 71.54%, which is comparable to that of the SVM method. The derived propensity scores of 20 amino acids were further used to identify informative physicochemical properties for characterizing PSPs. The analytical results reveal the following four characteristics of PSPs: 1) PSPs favour hydrophobic side chain amino acids; 2) PSPs are composed of the amino acids prone to form helices in membrane environments; 3) PSPs have low interaction with water; and 4) PSPs prefer to be composed of the amino acids of electron-reactive side chains. Conclusions The SCMPSP method not only estimates the propensity of a sequence to be PSPs, it also discovers characteristics that further improve understanding of PSPs. The SCMPSP source code and the datasets used in this study are available at http://iclab.life.nctu.edu.tw/SCMPSP/. PMID:25708243

  14. Image Analysis-Based Approaches for Scoring Mouse Models of Colitis.

    PubMed

    Rogers, R; Eastham-Anderson, J; DeVoss, J; Lesch, J; Yan, D; Xu, M; Solon, M; Hotzel, K; Diehl, L; Webster, J D

    2016-01-01

    Mouse models of inflammatory bowel disease are critical for basic and translational research that is advancing the understanding and treatment of this disease. Assessment of these mouse models frequently relies on histologic endpoints. In recent years, whole slide imaging and digital pathology-based image analysis platforms have become increasingly available for implementation into the pathology workflow. These automated image analysis approaches allow for nonbiased quantitative assessment of histologic endpoints. In this study, the authors sought to develop an image analysis workflow using a commercially available image analysis platform that requires minimal training in image analysis or programming, and this workflow was used to score 2 mouse models of colitis that are primarily characterized by immune cell infiltrates in the lamina propria. Although the software was unable to accurately and consistently segment hematoxylin and eosin-stained sections, automated quantification of CD3 immunolabeling resulted in strong correlations with the pathologist's score in all studies and allowed for the identification of 8 of the 9 differences among treatment groups that were identified by the pathologist. These results demonstrate not only the ability to incorporate solutions based on image analysis into the pathologist's workflow but also the importance of immunohistochemical or histochemical surrogates for the incorporation of image analysis in histologic assessments. PMID:25907770

  15. An exploration of the base rate scores of the Millon Clinical Multiaxial Inventory-III.

    PubMed

    Grove, William M; Vrieze, Scott I

    2009-03-01

    The Millon Clinical Multiaxial Inventory (3rd ed.; MCMI-III) is a widely used psychological assessment of clinical and personality disorders. Unlike typical tests, the MCMI-III uses a base-rate score transformation to incorporate prior probabilities of disorder (i.e., base rates) in test output and diagnostic thresholds. The authors describe the base rate transformation and contend that its supporting documentation in the MCMI-III manual is incomplete and fails to meet interdisciplinary test documentation standards. They show that the MCMI-III's base rate transformation is not optimal, and they derive an optimal alternative transformation using Bayes' theorem. Bayes transformation formulae for 7 exponential family distributions are given. The authors discuss the effect of the base rate transformation and further argue that the MCMI-III's use of a single base rate per diagnostic category is ill-advised. They argue that base rates differ among clinical settings and that tests like the MCMI-III should flexibly incorporate a base rate of disorder pertinent to the examinee's characteristics, such as demographics, chief complaint, clinical history, or other variables. They explain how this can readily be accomplished. (PsycINFO Database Record (c) 2009 APA, all rights reserved). PMID:19290766

  16. Is anterior cruciate ligament surgery technique important in rehabilitation and activity scores?

    PubMed Central

    Kilinc, Bekir Eray; Kara, Adnan; Celik, Haluk; Oc, Yunus; Camur, Savas

    2016-01-01

    To compare the two different anterior cruciate ligament surgery techniques’ effect in rehabilitation and activity performance. Fifty-five patients were evaluated. Twenty-seven patients with transtibial technique (TT), 28 with anatomic single-bundle technique (AT) included. Tegner Activity Scale (TAS) was performed at preoperation and follow-up. The returning time of the sport and work was evaluated at follow-up. Single-leg hop test was performed at follow-up. Outcomes were compared between the two groups. The determined length difference between the operated knee and the intact knee was compared between the two groups. Average age of TT and AT was 27.9±6.4 yr, 28.3±6 yr, respectively. There was a significant difference between the two groups in duration of returning to sport. TT group had higher duration to return to sport (P<0.01). No difference between the two groups in duration of returning to work (P>0.05). There was a significant difference between the two groups. TT group had significantly higher values than AT group (P<0.01). No difference in TAS between the two techniques at preoperation and at last follow-up (P>0.05). The increase of TAS in patients who had AT was higher than the patients who had TT (P>0.05). No difference in single-leg hop test at 55%–65%, 65%–75%, and 85%–95% level (P>0.05). In this test at 75%–85% TT group had higher values than AT group (P<0.05), AT group had higher values at 95%–105% level (P<0.05). Good short and long-term knee outcome scores depend on rehabilitation protocol after surgery. Surgery technique should provide the adequate stability in rehabilitation period. AT obtains better outcomes in rehabilitation. PMID:27419120

  17. A Validity-Based Approach to Quality Control and Assurance of Automated Scoring

    ERIC Educational Resources Information Center

    Bejar, Isaac I.

    2011-01-01

    Automated scoring of constructed responses is already operational in several testing programmes. However, as the methodology matures and the demand for the utilisation of constructed responses increases, the volume of automated scoring is likely to increase at a fast pace. Quality assurance and control of the scoring process will likely be more…

  18. The effect of routine hoof trimming on locomotion score, ruminating time, activity, and milk yield of dairy cows.

    PubMed

    Van Hertem, T; Parmet, Y; Steensels, M; Maltz, E; Antler, A; Schlageter-Tello, A A; Lokhorst, C; Romanini, C E B; Viazzi, S; Bahr, C; Berckmans, D; Halachmi, I

    2014-01-01

    The objective of this study was to quantify the effect of hoof trimming on cow behavior (ruminating time, activity, and locomotion score) and performance (milk yield) over time. Data were gathered from a commercial dairy farm in Israel where routine hoof trimming is done by a trained hoof trimmer twice per year on the entire herd. In total, 288 cows spread over 6 groups with varying production levels were used for the analysis. Cow behavior was measured continuously with a commercial neck activity logger and a ruminating time logger (HR-Tag, SCR Engineers Ltd., Netanya, Israel). Milk yield was recorded during each milking session with a commercial milk flow sensor (Free Flow, SCR Engineers Ltd.). A trained observer assigned on the spot 5-point locomotion scores during 19 nighttime milking occasions between 22 October 2012 and 4 February 2013. Behavioral and performance data were gathered from 1wk before hoof trimming until 1wk after hoof trimming. A generalized linear mixed model was used to statistically test all main and interactive effects of hoof trimming, parity, lactation stage, and hoof lesion presence on ruminating time, neck activity, milk yield, and locomotion score. The results on locomotion scores show that the proportional distribution of cows in the different locomotion score classes changes significantly after trimming. The proportion of cows with a locomotion score ≥3 increases from 14% before to 34% directly after the hoof trimming. Two months after the trimming, the number of cows with a locomotion score ≥3 reduced to 20%, which was still higher than the baseline values 2wk before the trimming. The neck activity level was significantly reduced 1d after trimming (380±6 bits/d) compared with before trimming (389±6 bits/d). Each one-unit increase in locomotion score reduced cow activity level by 4.488 bits/d. The effect of hoof trimming on ruminating time was affected by an interaction effect with parity. The effect of hoof trimming on

  19. Fusion of Scores in a Detection Context Based on Alpha Integration.

    PubMed

    Soriano, Antonio; Vergara, Luis; Ahmed, Bouziane; Salazar, Addisson

    2015-09-01

    We present a new method for fusing scores corresponding to different detectors (two-hypotheses case). It is based on alpha integration, which we have adapted to the detection context. Three optimization methods are presented: least mean square error, maximization of the area under the ROC curve, and minimization of the probability of error. Gradient algorithms are proposed for the three methods. Different experiments with simulated and real data are included. Simulated data consider the two-detector case to illustrate the factors influencing alpha integration and demonstrate the improvements obtained by score fusion with respect to individual detector performance. Two real data cases have been considered. In the first, multimodal biometric data have been processed. This case is representative of scenarios in which the probability of detection is to be maximized for a given probability of false alarm. The second case is the automatic analysis of electroencephalogram and electrocardiogram records with the aim of reproducing the medical expert detections of arousal during sleeping. This case is representative of scenarios in which probability of error is to be minimized. The general superior performance of alpha integration verifies the interest of optimizing the fusing parameters. PMID:26161815

  20. Performance of an Adipokine Pathway-Based Multilocus Genetic Risk Score for Prostate Cancer Risk Prediction

    PubMed Central

    Ribeiro, Ricardo J. T.; Monteiro, Cátia P. D.; Azevedo, Andreia S. M.; Cunha, Virgínia F. M.; Ramanakumar, Agnihotram V.; Fraga, Avelino M.; Pina, Francisco M.; Lopes, Carlos M. S.; Medeiros, Rui M.; Franco, Eduardo L.

    2012-01-01

    Few biomarkers are available to predict prostate cancer risk. Single nucleotide polymorphisms (SNPs) tend to have weak individual effects but, in combination, they have stronger predictive value. Adipokine pathways have been implicated in the pathogenesis. We used a candidate pathway approach to investigate 29 functional SNPs in key genes from relevant adipokine pathways in a sample of 1006 men eligible for prostate biopsy. We used stepwise multivariate logistic regression and bootstrapping to develop a multilocus genetic risk score by weighting each risk SNP empirically based on its association with disease. Seven common functional polymorphisms were associated with overall and high-grade prostate cancer (Gleason≥7), whereas three variants were associated with high metastatic-risk prostate cancer (PSA≥20 ng/mL and/or Gleason≥8). The addition of genetic variants to age and PSA improved the predictive accuracy for overall and high-grade prostate cancer, using either the area under the receiver-operating characteristics curves (P<0.02), the net reclassification improvement (P<0.001) and integrated discrimination improvement (P<0.001) measures. These results suggest that functional polymorphisms in adipokine pathways may act individually and cumulatively to affect risk and severity of prostate cancer, supporting the influence of adipokine pathways in the pathogenesis of prostate cancer. Use of such adipokine multilocus genetic risk score can enhance the predictive value of PSA and age in estimating absolute risk, which supports further evaluation of its clinical significance. PMID:22792137

  1. Handedness and behavioural inhibition system/behavioural activation system (BIS/BAS) scores: A replication and extension of Wright, Hardie, and Wilson (2009).

    PubMed

    Beaton, Alan A; Kaack, Imogen H; Corr, Philip J

    2015-01-01

    The Annett Hand Preference Questionnaire (AHPQ) as modified by Briggs and Nebes was administered along with Carver and White's behavioural inhibition system (BIS) and behavioural activation system (BAS) scale and a shortened form of the Big Five personality questionnaire to 92 university students. After eliminating the data from five respondents who reported having changed handedness and one outlier, there was a significant sex difference in mean BIS scores, with females (n = 43) scoring higher than males (n = 43). Replicating the results of Wright, Hardie and Wilson, non-right-handers (n = 36) had significantly higher mean BIS score than right-handers (n = 50). Controlling for sex of participant, neuroticism and BAS sub-scale scores in hierarchical regression analyses left this BIS effect substantially unaffected. There was no handedness or sex difference on any of the three BAS sub-scales. Further analyses revealed no association between strength, as distinct from direction, of handedness and BIS (or BAS) scores. The findings are discussed with reference to recent developments in reinforcement sensitivity theory on which BIS/BAS variables are based. PMID:25697855

  2. Motif-based success scores in coauthorship networks are highly sensitive to author name disambiguation

    NASA Astrophysics Data System (ADS)

    Klosik, David F.; Bornholdt, Stefan; Hütt, Marc-Thorsten

    2014-09-01

    Following the work of Krumov et al. [Eur. Phys. J. B 84, 535 (2011), 10.1140/epjb/e2011-10746-5] we revisit the question whether the usage of large citation datasets allows for the quantitative assessment of social (by means of coauthorship of publications) influence on the progression of science. Applying a more comprehensive and well-curated dataset containing the publications in the journals of the American Physical Society during the whole 20th century we find that the measure chosen in the original study, a score based on small induced subgraphs, has to be used with caution, since the obtained results are highly sensitive to the exact implementation of the author disambiguation task.

  3. The Use of Simulated Annealing in Chromosome Reconstruction Experiments Based on Binary Scoring

    PubMed Central

    Cuticchia, A. J.; Arnold, J.; Timberlake, W. E.

    1992-01-01

    We present a method of combinatorial optimization, simulated annealing, to order clones in a library with respect to their position along a chromosome. This ordering method relies on scoring each clone for the presence or absence of specific target sequences, thereby assigning a digital signature to each clone. Specifically, we consider the hybridization of oligonucleotide probes to a clone to constitute the signature. In that the degree of clonal overlap is reflected in the similarity of their signatures, it is possible to construct maps based on the minimization of the differences in signatures across a reconstructed chromosome. Our simulations show that with as few as 30 probes and a clonal density of 4.5 genome equivalents, it is possible to assemble a small eukaryotic chromosome into 33 contiguous blocks of clones (contigs). With higher clonal densities and more probes, this number can be reduced to less than 5 contigs per chromosome. PMID:1427046

  4. Evaluation of a novel scoring and grading model for VP-based exams in postgraduate nurse education.

    PubMed

    Forsberg, Elenita; Ziegert, Kristina; Hult, Håkan; Fors, Uno

    2015-12-01

    For Virtual Patient-based exams, several scoring and grading methods have been proposed, but none have yet been validated. The aim of this study was to evaluate a new scoring and grading model for VP-based exams in postgraduate paediatric nurse education. The same student group of 19 students performed a VP-based exam in three consecutive courses. When using the scoring and grading assessment model, which contains a deduction system for unnecessary or unwanted actions, a progression was found in the three courses: 53% of the students passed the first exam, 63% the second and 84% passed the final exam. The most common reason for deduction of points was due to students asking too many interview questions or ordering too many laboratory tests. The results showed that the new scoring model made it possible to judge the students' clinical reasoning process as well as their progress. PMID:25979799

  5. The Relationship Between Hospital Value-Based Purchasing Program Scores and Hospital Bond Ratings.

    PubMed

    Rangnekar, Anooja; Johnson, Tricia; Garman, Andrew; O'Neil, Patricia

    2015-01-01

    Tax-exempt hospitals and health systems often borrow long-term debt to fund capital investments. Lenders use bond ratings as a standard metric to assess whether to lend funds to a hospital. Credit rating agencies have historically relied on financial performance measures and a hospital's ability to service debt obligations to determine bond ratings. With the growth in pay-for-performance-based reimbursement models, rating agencies are expanding their hospital bond rating criteria to include hospital utilization and value-based purchasing (VBP) measures. In this study, we evaluated the relationship between the Hospital VBP domains--Clinical Process of Care, Patient Experience of Care, Outcome, and Medicare Spending per Beneficiary (MSPB)--and hospital bond ratings. Given the historical focus on financial performance, we hypothesized that hospital bond ratings are not associated with any of the Hospital VBP domains. This was a retrospective, cross-sectional study of all hospitals that were rated by Moody's for fiscal year 2012 and participated in the Centers for Medicare & Medicaid Services' VBP program as of January 2014 (N = 285). Of the 285 hospitals in the study, 15% had been assigned a bond rating of Aa, and 46% had been assigned an A rating. Using a binary logistic regression model, we found an association between MSPB only and bond ratings, after controlling for other VBP and financial performance scores; however, MSPB did not improve the overall predictive accuracy of the model. Inclusion of VBP scores in the methodology used to determine hospital bond ratings is likely to affect hospital bond ratings in the near term. PMID:26554267

  6. Everyone Gains: Extracurricular Activities in High School and Higher SAT® Scores. Research Report No. 2005-2

    ERIC Educational Resources Information Center

    Everson, Howard T.; Millsap, Roger E.

    2005-01-01

    This report presents evidence that links participation in extracurricular activities (ECAs) in high school with higher SAT Reasoning Test™ (SAT®) scores. Using structural equation models (SEMs) with latent means, we analyzed data from a national sample of college-bound high school students. A series of structural equation models--isolating the…

  7. In silico structure-based screening of versatile P-glycoprotein inhibitors using polynomial empirical scoring functions.

    PubMed

    Shityakov, Sergey; Förster, Carola

    2014-01-01

    P-glycoprotein (P-gp) is an ATP (adenosine triphosphate)-binding cassette transporter that causes multidrug resistance of various chemotherapeutic substances by active efflux from mammalian cells. P-gp plays a pivotal role in limiting drug absorption and distribution in different organs, including the intestines and brain. Thus, the prediction of P-gp-drug interactions is of vital importance in assessing drug pharmacokinetic and pharmacodynamic properties. To find the strongest P-gp blockers, we performed an in silico structure-based screening of P-gp inhibitor library (1,300 molecules) by the gradient optimization method, using polynomial empirical scoring (POLSCORE) functions. We report a strong correlation (r (2)=0.80, F=16.27, n=6, P<0.0157) of inhibition constants (Kiexp or pKiexp; experimental Ki or negative decimal logarithm of Kiexp) converted from experimental IC50 (half maximal inhibitory concentration) values with POLSCORE-predicted constants (KiPOLSCORE or pKiPOLSCORE), using a linear regression fitting technique. The hydrophobic interactions between P-gp and selected drug substances were detected as the main forces responsible for the inhibition effect. The results showed that this scoring technique might be useful in the virtual screening and filtering of databases of drug-like compounds at the early stage of drug development processes. PMID:24711707

  8. In silico structure-based screening of versatile P-glycoprotein inhibitors using polynomial empirical scoring functions

    PubMed Central

    Shityakov, Sergey; Förster, Carola

    2014-01-01

    P-glycoprotein (P-gp) is an ATP (adenosine triphosphate)-binding cassette transporter that causes multidrug resistance of various chemotherapeutic substances by active efflux from mammalian cells. P-gp plays a pivotal role in limiting drug absorption and distribution in different organs, including the intestines and brain. Thus, the prediction of P-gp–drug interactions is of vital importance in assessing drug pharmacokinetic and pharmacodynamic properties. To find the strongest P-gp blockers, we performed an in silico structure-based screening of P-gp inhibitor library (1,300 molecules) by the gradient optimization method, using polynomial empirical scoring (POLSCORE) functions. We report a strong correlation (r2=0.80, F=16.27, n=6, P<0.0157) of inhibition constants (Kiexp or pKiexp; experimental Ki or negative decimal logarithm of Kiexp) converted from experimental IC50 (half maximal inhibitory concentration) values with POLSCORE-predicted constants (KiPOLSCORE or pKiPOLSCORE), using a linear regression fitting technique. The hydrophobic interactions between P-gp and selected drug substances were detected as the main forces responsible for the inhibition effect. The results showed that this scoring technique might be useful in the virtual screening and filtering of databases of drug-like compounds at the early stage of drug development processes. PMID:24711707

  9. Poisson Approximation-Based Score Test for Detecting Association of Rare Variants.

    PubMed

    Fang, Hongyan; Zhang, Hong; Yang, Yaning

    2016-07-01

    Genome-wide association study (GWAS) has achieved great success in identifying genetic variants, but the nature of GWAS has determined its inherent limitations. Under the common disease rare variants (CDRV) hypothesis, the traditional association analysis methods commonly used in GWAS for common variants do not have enough power for detecting rare variants with a limited sample size. As a solution to this problem, pooling rare variants by their functions provides an efficient way for identifying susceptible genes. Rare variant typically have low frequencies of minor alleles, and the distribution of the total number of minor alleles of the rare variants can be approximated by a Poisson distribution. Based on this fact, we propose a new test method, the Poisson Approximation-based Score Test (PAST), for association analysis of rare variants. Two testing methods, namely, ePAST and mPAST, are proposed based on different strategies of pooling rare variants. Simulation results and application to the CRESCENDO cohort data show that our methods are more powerful than the existing methods. PMID:27346734

  10. The Impact of Different Scoring Rubrics for Grading Virtual Patient-Based Exams

    ERIC Educational Resources Information Center

    Fors, Uno G. H.; Gunning, William T.

    2014-01-01

    Virtual patient cases (VPs) are used for healthcare education and assessment. Most VP systems track user interactions to be used for assessment. Few studies have investigated how virtual exam cases should be scored and graded. We have applied eight different scoring models on a data set from 154 students. Issues studied included the impact of…

  11. Speed-Accuracy Response Models: Scoring Rules Based on Response Time and Accuracy

    ERIC Educational Resources Information Center

    Maris, Gunter; van der Maas, Han

    2012-01-01

    Starting from an explicit scoring rule for time limit tasks incorporating both response time and accuracy, and a definite trade-off between speed and accuracy, a response model is derived. Since the scoring rule is interpreted as a sufficient statistic, the model belongs to the exponential family. The various marginal and conditional distributions…

  12. Avoiding and Correcting Bias in Score-Based Latent Variable Regression with Discrete Manifest Items

    ERIC Educational Resources Information Center

    Lu, Irene R. R.; Thomas, D. Roland

    2008-01-01

    This article considers models involving a single structural equation with latent explanatory and/or latent dependent variables where discrete items are used to measure the latent variables. Our primary focus is the use of scores as proxies for the latent variables and carrying out ordinary least squares (OLS) regression on such scores to estimate…

  13. Walk Score®

    PubMed Central

    Brown, Scott C.; Pantin, Hilda; Lombard, Joanna; Toro, Matthew; Huang, Shi; Plater-Zyberk, Elizabeth; Perrino, Tatiana; Perez-Gomez, Gianna; Barrera-Allen, Lloyd; Szapocznik, José

    2013-01-01

    Background Walk Score® is a nationally and publicly available metric of neighborhood walkability based on proximity to amenities (e.g., retail, food, schools). However, few studies have examined the relationship of Walk Score to walking behavior. Purpose To examine the relationship of Walk Score to walking behavior in a sample of recent Cuban immigrants, who overwhelmingly report little choice in their selection of neighborhood built environments when they arrive in the U.S. Methods Participants were 391 recent healthy Cuban immigrants (M age=37.1 years) recruited within 90 days of arrival in the U.S., and assessed within 4 months of arrival (M=41.0 days in the U.S.), who resided throughout Miami-Dade County FL. Data on participants’ addresses, walking and sociodemographics were collected prospectively from 2008 to 2010. Analyses conducted in 2011 examined the relationship of Walk Score for each participant’s residential address in the U.S. to purposive walking, controlling for age, gender, education, BMI, days in the U.S., and habitual physical activity level in Cuba. Results For each 10-point increase in Walk Score, adjusting for covariates, there was a significant 19% increase in the likelihood of purposive walking, a 26% increase in the likelihood of meeting physical activity recommendations by walking, and 27% more minutes walked in the previous week. Conclusions Results suggest that Walk Score is associated with walking in a sample of recent immigrants who initially had little choice in where they lived in the U.S. These results support existing guidelines indicating that mixed land use (such as parks and restaurants near homes) should be included when designing walkable communities. PMID:23867028

  14. DDA: A Novel Network-Based Scoring Method to Identify Disease–Disease Associations

    PubMed Central

    Suratanee, Apichat; Plaimas, Kitiporn

    2015-01-01

    Categorizing human diseases provides higher efficiency and accuracy for disease diagnosis, prognosis, and treatment. Disease–disease association (DDA) is a precious information that indicates the large-scale structure of complex relationships of diseases. However, the number of known and reliable associations is very small. Therefore, identification of DDAs is a challenging task in systems biology and medicine. Here, we developed a novel network-based scoring algorithm called DDA to identify the relationships between diseases in a large-scale study. Our method is developed based on a random walk prioritization in a protein–protein interaction network. This approach considers not only whether two diseases directly share associated genes but also the statistical relationships between two different diseases using known disease-related genes. Predicted associations were validated by known DDAs from a database and literature supports. The method yielded a good performance with an area under the curve of 71% and outperformed other standard association indices. Furthermore, novel DDAs and relationships among diseases from the clusters analysis were reported. This method is efficient to identify disease–disease relationships on an interaction network and can also be generalized to other association studies to further enhance knowledge in medical studies. PMID:26673408

  15. A new prognostic score based on the systemic inflammatory response in patients with inoperable non-small-cell lung cancer

    PubMed Central

    Zhu, Lizhen; Li, Xiaofen; Shen, Yanwei; Cao, Ying; Fang, Xuefeng; Chen, Jiaqi; Yuan, Ying

    2016-01-01

    Purpose Pretreatment systemic inflammatory response has been confirmed to have prognostic value in patients with inoperable non-small-cell lung cancer (NSCLC). Increasing studies show that the modified Glasgow prognostic score (mGPS), a prognostic score based on C-reactive protein (CRP) and albumin, is a prognostic factor in these patients. This study was aimed at recognizing possible prognostic factors and new prognostic scores of inoperable NSCLC based on pretreatment systemic inflammatory response. Patients and methods We retrospectively reviewed the clinicopathological data of 105 patients with inoperable NSCLC who received first-line chemotherapy as initial treatment. Univariate and multivariate analyses of progression-free survival (PFS) and overall survival (OS) for prognostic factors and scores were performed. Results The serum CRP, lactate dehydrogenase (LDH), cancer antigen 125 (CA125), and pathological type were independent pretreatment prognostic factors for PFS and OS. A new score was assembled by CRP, LDH, and CA125. In multivariate analysis, when the mGPS and the new score were covariates, only the new score retained independent prognostic value for both PFS (P<0.001; hazard ratio =2.12; 95% confidence interval: 1.60–2.82) and OS (P<0.001; hazard ratio =1.82; 95% confidence interval: 1.33–2.48). Conclusion The new score based on pretreatment serum level of CRP, LDH, and CA125, indicates the prognosis of both PFS and OS in patients with inoperable NSCLC who were treated with first-line systemic chemotherapy, and it was found to be more effective than mGPS. PMID:27540301

  16. Thioredoxin 1 in Prostate Tissue Is Associated with Gleason Score, Erythrocyte Antioxidant Enzyme Activity, and Dietary Antioxidants

    PubMed Central

    Vance, Terrence M.; Azabdaftari, Gissou; Pop, Elena A.; Lee, Sang Gil; Su, L. Joseph; Fontham, Elizabeth T. H.; Bensen, Jeannette T.; Steck, Susan E.; Arab, Lenore; Mohler, James L.; Chen, Ming-Hui; Koo, Sung I.; Chun, Ock K.

    2015-01-01

    Background. Prostate cancer is the most common noncutaneous cancer and second leading cause of cancer-related mortality in men in the US. Growing evidence suggests that oxidative stress is involved in prostate cancer. Methods. In this study, thioredoxin 1 (Trx 1), an enzyme and subcellular indicator of redox status, was measured in prostate biopsy tissue from 55 men from the North Carolina-Louisiana Prostate Cancer Project. A pathologist blindly scored levels of Trx 1. The association between Trx 1 and the Gleason score, erythrocyte antioxidant enzyme activity, and dietary antioxidant intake was determined using Fisher's exact test. Results. Trx 1 levels in benign prostate tissue in men with incident prostate cancer were positively associated with the Gleason score (P = 0.01) and inversely associated with dietary antioxidant intake (P = 0.03). In prostate cancer tissue, Trx 1 levels were associated with erythrocyte glutathione peroxidase activity (P = 0.01). No association was found for other erythrocyte enzymes. Greater Gleason score of malignant tissue corresponds to a greater difference in Trx 1 levels between malignant and benign tissue (P = 0.04). Conclusion. These results suggest that the redox status of prostate tissue is associated with prostate cancer grade and both endogenous and exogenous antioxidants. PMID:26357575

  17. Thioredoxin 1 in Prostate Tissue Is Associated with Gleason Score, Erythrocyte Antioxidant Enzyme Activity, and Dietary Antioxidants.

    PubMed

    Vance, Terrence M; Azabdaftari, Gissou; Pop, Elena A; Lee, Sang Gil; Su, L Joseph; Fontham, Elizabeth T H; Bensen, Jeannette T; Steck, Susan E; Arab, Lenore; Mohler, James L; Chen, Ming-Hui; Koo, Sung I; Chun, Ock K

    2015-01-01

    Background. Prostate cancer is the most common noncutaneous cancer and second leading cause of cancer-related mortality in men in the US. Growing evidence suggests that oxidative stress is involved in prostate cancer. Methods. In this study, thioredoxin 1 (Trx 1), an enzyme and subcellular indicator of redox status, was measured in prostate biopsy tissue from 55 men from the North Carolina-Louisiana Prostate Cancer Project. A pathologist blindly scored levels of Trx 1. The association between Trx 1 and the Gleason score, erythrocyte antioxidant enzyme activity, and dietary antioxidant intake was determined using Fisher's exact test. Results. Trx 1 levels in benign prostate tissue in men with incident prostate cancer were positively associated with the Gleason score (P = 0.01) and inversely associated with dietary antioxidant intake (P = 0.03). In prostate cancer tissue, Trx 1 levels were associated with erythrocyte glutathione peroxidase activity (P = 0.01). No association was found for other erythrocyte enzymes. Greater Gleason score of malignant tissue corresponds to a greater difference in Trx 1 levels between malignant and benign tissue (P = 0.04). Conclusion. These results suggest that the redox status of prostate tissue is associated with prostate cancer grade and both endogenous and exogenous antioxidants. PMID:26357575

  18. Prediction of 18-month survival in patients with primary myelodysplastic syndrome. A regression model and scoring system based on the combination of chromosome findings and the Bournemouth score.

    PubMed

    Parlier, V; van Melle, G; Beris, P; Schmidt, P M; Tobler, A; Haller, E; Bellomo, M J

    1995-06-01

    The predictive potential of six selected factors was assessed in 72 patients with primary myelodysplastic syndrome using univariate and multivariate logistic regression analysis of survival at 18 months. Factors were age (above median of 69 years), dysplastic features in the three myeloid bone marrow cell lineages, presence of chromosome defects, all metaphases abnormal, double or complex chromosome defects (C23), and a Bournemouth score of 2, 3, or 4 (B234). In the multivariate approach, B234 and C23 proved to be significantly associated with a reduction in the survival probability. The similarity of the regression coefficients associated with these two factors means that they have about the same weight. Consequently, the model was simplified by counting the number of factors (0, 1, or 2) present in each patient, thus generating a scoring system called the Lausanne-Bournemouth score (LB score). The LB score combines the well-recognized and easy-to-use Bournemouth score (B score) with the chromosome defect complexity, C23 constituting an additional indicator of patient outcome. The predicted risk of death within 18 months calculated from the model is as follows: 7.1% (confidence interval: 1.7-24.8) for patients with an LB score of 0, 60.1% (44.7-73.8) for an LB score of 1, and 96.8% (84.5-99.4) for an LB score of 2. The scoring system presented here has several interesting features. The LB score may improve the predictive value of the B score, as it is able to recognize two prognostic groups in the intermediate risk category of patients with B scores of 2 or 3. It has also the ability to identify two distinct prognostic subclasses among RAEB and possibly CMML patients. In addition to its above-described usefulness in the prognostic evaluation, the LB score may bring new insights into the understanding of evolution patterns in MDS. We used the combination of the B score and chromosome complexity to define four classes which may be considered four possible states of

  19. A physics-based scoring function for protein structural decoys: Dynamic testing on targets of CASP-ROLL

    NASA Astrophysics Data System (ADS)

    Ruiz-Blanco, Yasser B.; Marrero-Ponce, Yovani; García, Yamila; Puris, Amilkar; Bello, Rafael; Green, James; Sotomayor-Torres, Clivia M.

    2014-08-01

    Most successful structure prediction strategies use knowledge-based functions for global optimization, in spite of their intrinsic limited potential to create new folds, while physics-based approaches are often employed only during structure refinement steps. We here propose a physics-based scoring potential intended to perform global searches of the conformational space. We introduce a dynamic test to evaluate the discrimination power of our function, and compare it with predictions of targets from the CASP-ROLL competition. Results demonstrate that this dynamic test is able to generate 3D models which outrank 59% (according GDT_TS score) of models generated with ab initio structure prediction servers.

  20. An acoustic feature-based similarity scoring system for speech rehabilitation assistance.

    PubMed

    Syauqy, Dahnial; Wu, Chao-Min; Setyawati, Onny

    2016-08-01

    The purpose of this study is to develop a tool to assist speech therapy and rehabilitation, which focused on automatic scoring based on the comparison of the patient's speech with another normal speech on several aspects including pitch, vowel, voiced-unvoiced segments, strident fricative and sound intensity. The pitch estimation employed the use of cepstrum-based algorithm for its robustness; the vowel classification used multilayer perceptron (MLP) to classify vowel from pitch and formants; and the strident fricative detection was based on the major peak spectral intensity, location and the pitch existence in the segment. In order to evaluate the performance of the system, this study analyzed eight patient's speech recordings (four males, four females; 4-58-years-old), which had been recorded in previous study in cooperation with Taipei Veterans General Hospital and Taoyuan General Hospital. The experiment result on pitch algorithm showed that the cepstrum method had 5.3% of gross pitch error from a total of 2086 frames. On the vowel classification algorithm, MLP method provided 93% accuracy (men), 87% (women) and 84% (children). In total, the overall results showed that 156 tool's grading results (81%) were consistent compared to 192 audio and visual observations done by four experienced respondents. Implication for Rehabilitation Difficulties in communication may limit the ability of a person to transfer and exchange information. The fact that speech is one of the primary means of communication has encouraged the needs of speech diagnosis and rehabilitation. The advances of technology in computer-assisted speech therapy (CAST) improve the quality, time efficiency of the diagnosis and treatment of the disorders. The present study attempted to develop tool to assist speech therapy and rehabilitation, which provided simple interface to let the assessment be done even by the patient himself without the need of particular knowledge of speech processing while at the

  1. Efficacies of surgical treatments based on Harris hip score in elderly patients with femoral neck fracture

    PubMed Central

    Liang, Chengwei; Yang, Fengjian; Lin, Weilong; Fan, Yongqian

    2015-01-01

    Aim: To compare the efficacies of four surgical treatments, i.e., total hip arthroplasty (THA), internal fixation (IF), hemiarthroplasty (HA), and artificial femoral head replacement (artificial FHR), by performing a network meta-analysis based on Harris hip score (HHS) in elderly patients with femoral neck fracture. Methods: In strict accordance with specific inclusion and exclusion criteria, randomized controlled trails (RCTs) were screened and selected from a larger group of studies that were retrieved through a comprehensive search of scientific literature databases, further complimented by manual search. The resultant high-quality data from final selected studies were analyzed using Stata 12.0 software. Results: A total of 3680 studies were initially retrieved from database search, and 15 RCTs were eventually incorporated into this meta-analysis, containing 1781 elderly patients who had undergone various surgical treatments for femoral neck fracture (THA group = 604; HA group = 604; IF group = 495; artificial FHR group = 78). Our major result revealed a statistically significant difference in HHS of femoral neck fracture when HA and IF groups were compared with THA. No differences were detected in the HHS of femoral neck fracture undergoing artificial FHR and THA. The surface under the cumulative ranking curves (SUCRA) value of HHS, in elderly patients with femoral neck fracture after surgery, revealed that IF has the highest value. Conclusions: The current network meta-analysis results suggest that IF is the superlative surgical procedure for femoral neck fracture patients, and IF significantly improves the HHS in femoral neck fracture patients. PMID:26221216

  2. Visualization and probability-based scoring of structural variants within repetitive sequences

    PubMed Central

    Halper-Stromberg, Eitan; Steranka, Jared; Burns, Kathleen H.; Sabunciyan, Sarven; Irizarry, Rafael A.

    2014-01-01

    Motivation: Repetitive sequences account for approximately half of the human genome. Accurately ascertaining sequences in these regions with next generation sequencers is challenging, and requires a different set of analytical techniques than for reads originating from unique sequences. Complicating the matter are repetitive regions subject to programmed rearrangements, as is the case with the antigen-binding domains in the Immunoglobulin (Ig) and T-cell receptor (TCR) loci. Results: We developed a probability-based score and visualization method to aid in distinguishing true structural variants from alignment artifacts. We demonstrate the usefulness of this method in its ability to separate real structural variants from false positives generated with existing upstream analysis tools. We validated our approach using both target-capture and whole-genome experiments. Capture sequencing reads were generated from primary lymphoid tumors, cancer cell lines and an EBV-transformed lymphoblast cell line over the Ig and TCR loci. Whole-genome sequencing reads were from a lymphoblastoid cell-line. Availability: We implement our method as an R package available at https://github.com/Eitan177/targetSeqView. Code to reproduce the figures and results are also available. Contact: ehalper2@jhmi.edu Supplementary information: Supplementary data are available at Bioinformatics online. PMID:24501098

  3. Reconstruction based finger-knuckle-print verification with score level adaptive binary fusion.

    PubMed

    Gao, Guangwei; Zhang, Lei; Yang, Jian; Zhang, Lin; Zhang, David

    2013-12-01

    Recently, a new biometrics identifier, namely finger knuckle print (FKP), has been proposed for personal authentication with very interesting results. One of the advantages of FKP verification lies in its user friendliness in data collection. However, the user flexibility in positioning fingers also leads to a certain degree of pose variations in the collected query FKP images. The widely used Gabor filtering based competitive coding scheme is sensitive to such variations, resulting in many false rejections. We propose to alleviate this problem by reconstructing the query sample with a dictionary learned from the template samples in the gallery set. The reconstructed FKP image can reduce much the enlarged matching distance caused by finger pose variations; however, both the intra-class and inter-class distances will be reduced. We then propose a score level adaptive binary fusion rule to adaptively fuse the matching distances before and after reconstruction, aiming to reduce the false rejections without increasing much the false acceptances. Experimental results on the benchmark PolyU FKP database show that the proposed method significantly improves the FKP verification accuracy. PMID:24043391

  4. Error Rates in Measuring Teacher and School Performance Based on Student Test Score Gains. NCEE 2010-4004

    ERIC Educational Resources Information Center

    Schochet, Peter Z.; Chiang, Hanley S.

    2010-01-01

    This paper addresses likely error rates for measuring teacher and school performance in the upper elementary grades using value-added models applied to student test score gain data. Using realistic performance measurement system schemes based on hypothesis testing, we develop error rate formulas based on OLS and Empirical Bayes estimators.…

  5. Generalization of the Lord-Wingersky Algorithm to Computing the Distribution of Summed Test Scores Based on Real-Number Item Scores

    ERIC Educational Resources Information Center

    Kim, Seonghoon

    2013-01-01

    With known item response theory (IRT) item parameters, Lord and Wingersky provided a recursive algorithm for computing the conditional frequency distribution of number-correct test scores, given proficiency. This article presents a generalized algorithm for computing the conditional distribution of summed test scores involving real-number item…

  6. Apgar score

    MedlinePlus

    ... the baby's: Breathing effort Heart rate Muscle tone Reflexes Skin color Each category is scored with 0, ... scores 2 for muscle tone. Grimace response or reflex irritability is a term describing response to stimulation, ...

  7. Increased correlation coefficient between the written test score and tutors’ performance test scores after training of tutors for assessment of medical students during problem-based learning course in Malaysia

    PubMed Central

    Jaiprakash, Heethal; Min, Aung Ko Ko; Ghosh, Sarmishtha

    2016-01-01

    This paper is aimed at finding if there was a change of correlation between the written test score and tutors’ performance test scores in the assessment of medical students during a problem-based learning (PBL) course in Malaysia. This is a cross-sectional observational study, conducted among 264 medical students in two groups from November 2010 to November 2012. The first group’s tutors did not receive tutor training; while the second group’s tutors were trained in the PBL process. Each group was divided into high, middle and low achievers based on their end-of-semester exam scores. PBL scores were taken which included written test scores and tutors’ performance test scores. Pearson correlation coefficient was calculated between the two kinds of scores in each group. The correlation coefficient between the written scores and tutors’ scores in group 1 was 0.099 (p<0.001) and for group 2 was 0.305 (p<0.001). The higher correlation coefficient in the group where tutors received the PBL training reinforces the importance of tutor training before their participation in the PBL course. PMID:26838577

  8. Increased correlation coefficient between the written test score and tutors' performance test scores after training of tutors for assessment of medical students during problem-based learning course in Malaysia.

    PubMed

    Jaiprakash, Heethal; Min, Aung Ko Ko; Ghosh, Sarmishtha

    2016-03-01

    This paper is aimed at finding if there was a change of correlation between the written test score and tutors' performance test scores in the assessment of medical students during a problem-based learning (PBL) course in Malaysia. This is a cross-sectional observational study, conducted among 264 medical students in two groups from November 2010 to November 2012. The first group's tutors did not receive tutor training; while the second group's tutors were trained in the PBL process. Each group was divided into high, middle and low achievers based on their end-of-semester exam scores. PBL scores were taken which included written test scores and tutors' performance test scores. Pearson correlation coefficient was calculated between the two kinds of scores in each group. The correlation coefficient between the written scores and tutors' scores in group 1 was 0.099 (p<0.001) and for group 2 was 0.305 (p<0.001). The higher correlation coefficient in the group where tutors received the PBL training reinforces the importance of tutor training before their participation in the PBL course. PMID:26838577

  9. Measurement Properties of the Smartphone-Based B-B Score in Current Shoulder Pathologies

    PubMed Central

    Pichonnaz, Claude; Duc, Cyntia; Gleeson, Nigel; Ancey, Céline; Jaccard, Hervé; Lécureux, Estelle; Farron, Alain; Jolles, Brigitte M.; Aminian, Kamiar

    2015-01-01

    This study is aimed at the determination of the measurement properties of the shoulder function B-B Score measured with a smartphone. This score measures the symmetry between sides of a power-related metric for two selected movements, with 100% representing perfect symmetry. Twenty healthy participants, 20 patients with rotator cuff conditions, 23 with fractures, 22 with capsulitis, and 23 with shoulder instabilities were measured twice across a six-month interval using the B-B Score and shoulder function questionnaires. The discriminative power, responsiveness, diagnostic power, concurrent validity, minimal detectable change (MDC), minimal clinically important improvement (MCII), and patient acceptable symptom state (PASS) were evaluated. Significant differences with the control group and significant baseline—six-month differences were found for the rotator cuff condition, fracture, and capsulitis patient groups. The B-B Score was responsive and demonstrated excellent diagnostic power, except for shoulder instability. The correlations with clinical scores were generally moderate to high, but lower for instability. The MDC was 18.1%, the MCII was 25.2%, and the PASS was 77.6. No floor effect was observed. The B-B Score demonstrated excellent measurement properties in populations with rotator cuff conditions, proximal humerus fractures, and capsulitis, and can thus be used as a routine test to evaluate those patients. PMID:26506355

  10. Measurement properties of the smartphone-based B-B Score in current shoulder pathologies.

    PubMed

    Pichonnaz, Claude; Duc, Cyntia; Gleeson, Nigel; Ancey, Céline; Jaccard, Hervé; Lécureux, Estelle; Farron, Alain; Jolles, Brigitte M; Aminian, Kamiar

    2015-01-01

    This study is aimed at the determination of the measurement properties of the shoulder function B-B Score measured with a smartphone. This score measures the symmetry between sides of a power-related metric for two selected movements, with 100% representing perfect symmetry. Twenty healthy participants, 20 patients with rotator cuff conditions, 23 with fractures, 22 with capsulitis, and 23 with shoulder instabilities were measured twice across a six-month interval using the B-B Score and shoulder function questionnaires. The discriminative power, responsiveness, diagnostic power, concurrent validity, minimal detectable change (MDC), minimal clinically important improvement (MCII), and patient acceptable symptom state (PASS) were evaluated. Significant differences with the control group and significant baseline-six-month differences were found for the rotator cuff condition, fracture, and capsulitis patient groups. The B-B Score was responsive and demonstrated excellent diagnostic power, except for shoulder instability. The correlations with clinical scores were generally moderate to high, but lower for instability. The MDC was 18.1%, the MCII was 25.2%, and the PASS was 77.6. No floor effect was observed. The B-B Score demonstrated excellent measurement properties in populations with rotator cuff conditions, proximal humerus fractures, and capsulitis, and can thus be used as a routine test to evaluate those patients. PMID:26506355

  11. Montreal Cognitive Assessment (MoCA)-Italian version: regression based norms and equivalent scores.

    PubMed

    Conti, Silvia; Bonazzi, Stefano; Laiacona, Marcella; Masina, Marco; Coralli, Mirco Vanelli

    2015-02-01

    The Montreal Cognitive Assessment (MoCA) is a brief cognitive screening instrument developed by Nasreddine et al. to detect mild cognitive impairment, a high-risk condition for Alzheimer's disease and other forms of dementia. In this study we report normative data on the MoCA-Italian version, collected on a sample of 225 Italian healthy subjects ranged in age between 60 and 80 years, and in formal education from 5 to 23 years. The global normal cognition was established in accordance with the Mini-Mental State Examination score and with the Prose Memory Test score (Spinnler and Tognoni, Ital J Neurol Sci 6:25-27, 1987). None of the participants had a history of psychiatric, neurological, cerebrovascular disorders or brain injury or took drugs affecting cognition. Linear regression analysis was performed to evaluate the potential effect of age, education and sex on the MoCA total performance score. We provide correction grids to adjust raw scores and equivalent scores with cut-off value to allow comparison between MoCA performance and others neuropsychological test scores that can be administered on the same subject. PMID:25139107

  12. Is the association of continuous metabolic syndrome risk score with body mass index independent of physical activity? The CASPIAN-III study

    PubMed Central

    Heshmat, Ramin; shafiee, Gita; Kelishadi, Roya; Babaki, Amir Eslami Shahr; Motlagh, Mohammad Esmaeil; Arefirad, Tahereh; Ardalan, Gelayol; Ataie-Jafari, Asal; Asayesh, Hamid; Mohammadi, Rasool

    2015-01-01

    BACKGROUND/OBJECTIVES Although the association of body mass index (BMI) with metabolic syndrome (MetS) is well documented, there is little knowledge on the independent and joint associations of BMI and physical activity with MetS risk based on a continuous scoring system. This study was designed to explore the effect of physical activity on interactions between excess body weight and continuous metabolic syndrome (cMetS) in a nationwide survey of Iranian children and adolescents. SUBJECTS/METHODS Data on 5,625 school students between 10 and 18 years of age were analyzed. BMI percentiles, screen time activity (STA), leisure time physical activity (LTPA) levels, and components of cMetS risk score were extracted. Standardized residuals (z-scores) were calculated for MetS components. Linear regression models were used to study the interactions between different combinations of cMetS, LTPA, and BMI percentiles. RESULTS Overall, 984 (17.5%) subjects were underweight, whereas 501 (8.9%) and 451 (8%) participants were overweight and obese, respectively. All standardized values for cMetS components, except fasting blood glucose level, were directly correlated with BMI percentiles in all models (P-trend < 0.001); these associations were independent of STA and LTPA levels. Linear associations were also observed among LTPA and standardized residuals for blood pressure, high-density lipoprotein, and waist circumference (P-trend < 0.01). CONCLUSIONS Our findings suggest that BMI percentiles are associated with cMetS risk score independent of LTPA and STA levels. PMID:26244080

  13. An Evidence-Based Medicine Curriculum Improves General Surgery Residents' Standardized Test Scores in Research and Statistics

    PubMed Central

    Trickey, Amber W.; Crosby, Moira E.; Singh, Monika; Dort, Jonathan M.

    2014-01-01

    Background The application of evidence-based medicine to patient care requires unique skills of the physician. Advancing residents' abilities to accurately evaluate the quality of evidence is built on understanding of fundamental research concepts. The American Board of Surgery In-Training Examination (ABSITE) provides a relevant measure of surgical residents' knowledge of research design and statistics. Objective We implemented a research education curriculum in an independent academic medical center general residency program, and assessed the effect on ABSITE scores. Methods The curriculum consisted of five 1-hour monthly research and statistics lectures. The lectures were presented before the 2012 and 2013 examinations. Forty residents completing ABSITE examinations from 2007 to 2013 were included in the study. Two investigators independently identified research-related item topics from examination summary reports. Correct and incorrect responses were compared precurriculum and postcurriculum. Regression models were calculated to estimate improvement in postcurriculum scores, adjusted for individuals' scores over time and postgraduate year level. Results Residents demonstrated significant improvement in postcurriculum examination scores for research and statistics items. Correct responses increased 27% (P < .001). Residents were 5 times more likely to achieve a perfect score on research and statistics items postcurriculum (P < .001). Conclusions Residents at all levels demonstrated improved research and statistics scores after receiving the curriculum. Because the ABSITE includes a wide spectrum of research topics, sustained improvements suggest a genuine level of understanding that will promote lifelong evaluation and clinical application of the surgical literature. PMID:26140115

  14. A Novel and Validated Inflammation-Based Score (IBS) Predicts Survival in Patients With Hepatocellular Carcinoma Following Curative Surgical Resection

    PubMed Central

    Fu, Yi-Peng; Ni, Xiao-Chun; Yi, Yong; Cai, Xiao-Yan; He, Hong-Wei; Wang, Jia-Xing; Lu, Zhu-Feng; Han, Xu; Cao, Ya; Zhou, Jian; Fan, Jia; Qiu, Shuang-Jian

    2016-01-01

    Abstract As chronic inflammation is involved in the pathogenesis and progression of hepatocellular carcinoma (HCC), we investigated the prognostic accuracy of a cluster of inflammatory scores, including the Glasgow Prognostic Score, modified Glasgow Prognostic Score, platelet to lymphocyte ratio, Prognostic Nutritional Index, Prognostic Index, and a novel Inflammation-Based Score (IBS) integrated preoperative and postoperative neutrophil to lymphocyte ratio in 2 independent cohorts. Further, we aimed to formulate an effective prognostic nomogram for HCC after hepatectomy. Prognostic value of inflammatory scores and Barcelona Clinic Liver Cancer (BCLC) stage were studied in a training cohort of 772 patients with HCC underwent hepatectomy. Independent predictors of survival identified in multivariate analysis were validated in an independent set of 349 patients with an overall similar clinical feature. In both training and validation cohorts, IBS, microscopic vascular invasion, and BCLC stage emerged as independent factors of overall survival (OS) and recurrence-free survival (RFS). The predictive capacity of the IBS in both OS and RFS appeared superior to that of the other inflammatory scores in terms of C-index. Additionally, the formulated nomogram comprised IBS resulted in more accurate prognostic prediction compared with BCLC stage alone. IBS is a novel and validated prognostic indicator of HCC after curative resection, and a robust HCC nomogram including IBS was developed to predict survival for patients after hepatectomy. PMID:26886627

  15. Investigating the importance of Delaunay-based definition of atomic interactions in scoring of protein-protein docking results.

    PubMed

    Jafari, Rahim; Sadeghi, Mehdi; Mirzaie, Mehdi

    2016-05-01

    The approaches taken to represent and describe structural features of the macromolecules are of major importance when developing computational methods for studying and predicting their structures and interactions. This study attempts to explore the significance of Delaunay tessellation for the definition of atomic interactions by evaluating its impact on the performance of scoring protein-protein docking prediction. Two sets of knowledge-based scoring potentials are extracted from a training dataset of native protein-protein complexes. The potential of the first set is derived using atomic interactions extracted from Delaunay tessellated structures. The potential of the second set is calculated conventionally, that is, using atom pairs whose interactions were determined by their separation distances. The scoring potentials were tested against two different docking decoy sets and their performances were compared. The results show that, if properly optimized, the Delaunay-based scoring potentials can achieve higher success rate than the usual scoring potentials. These results and the results of a previous study on the use of Delaunay-based potentials in protein fold recognition, all point to the fact that Delaunay tessellation of protein structure can provide a more realistic definition of atomic interaction, and therefore, if appropriately utilized, may be able to improve the accuracy of pair potentials. PMID:27060891

  16. A multiple model SNR/RCS likelihood ratio score for radar-based feature-aided tracking

    NASA Astrophysics Data System (ADS)

    Slocumb, Benjamin J.; Klusman, Michael E., III

    2005-09-01

    Most approaches to data association in target tracking use a likelihood-ratio based score for measurement-to-track and track-to-track matching. The classical approach uses a likelihood ratio based on kinematic data. Feature-aided tracking uses non-kinematic data to produce an "auxiliary score" that augments the kinematic score. This paper develops a nonkinematic likelihood ratio score based on statistical models for the signal-to-noise (SNR) and radar cross section (RCS) for use in narrowband radar tracking. The formulation requires an estimate of the target mean RCS, and a key challenge is the tracking of the mean RCS through significant "jumps" due to aspect dependencies. A novel multiple model approach is used track through the RCS jumps. Three solution are developed: one based on an α-filter, a second based on the median filter, and the third based on an IMM filter with a median pre-filter. Simulation results are presented that show the effectiveness of the multiple model approach for tracking through RCS transitions due to aspect-angle changes.

  17. The Effects of Activating Prior Topic and Metacognitive Knowledge on Text Comprehension Scores

    ERIC Educational Resources Information Center

    Kostons, Danny; van der Werf, Greetje

    2015-01-01

    Background: Research on prior knowledge activation has consistently shown that activating learners' prior knowledge has beneficial effects on learning. If learners activate their prior knowledge, this activated knowledge serves as a framework for establishing relationships between the knowledge they already possess and new information provided to…

  18. Development and validation of a visual body condition scoring system for dairy goats with picture-based training.

    PubMed

    Vieira, A; Brandão, S; Monteiro, A; Ajuda, I; Stilwell, G

    2015-09-01

    Body condition scoring (BCS) is the most widely used method to assess changes in body fat reserves, which reflects its high potential to be included in on-farm welfare assessment protocols. Currently used scoring systems in dairy goats require animal restraint for body palpation. In this study, the Animal Welfare Indicators project (AWIN) proposes to overcome this constraint by developing a scoring system based only on visual assessment. The AWIN visual body condition scoring system highlights representative animals from 3 categories: very thin, normal, and very fat, and was built from data sets with photographs of animals scored by a commonly used 6-point scoring system that requires palpation in 2 anatomical regions. Development of the AWIN scoring system required 3 steps: (1) identification and validation of a body region of interest; (2) sketching the region from photographs; and (3) creation of training material. The scoring system's reliability was statistically confirmed. An initial study identified features in the rump region from which we could compute a set of body measurements (i.e., measures based on anatomical references of the rump region) that showed a strong correlation with the assigned BCS. To validate the result, we collected a final data set from 171 goats. To account for variability in animal size and camera position, we mapped a subset of features to a standard template and aligned all the rump images before computing the body measurements. Scientific illustrations were created from the aligned images of animals identified as representative of each category to increase clarity and reproducibility. For training material, we created sketches representing the threshold between consecutive categories. Finally, we conducted 2 field reliability studies. In the first test, no training was given to 4 observers, whereas in the second, training using the threshold images was delivered to the same observers. In the first experiment, interobserver results

  19. Evaluation of the Mayo Clinic Phenotype-Based Genotype Predictor Score in Patients with Clinically Diagnosed Hypertrophic Cardiomyopathy

    PubMed Central

    Murphy, Sinead L.; Anderson, Jason H.; Kapplinger, Jamie D.; Kruisselbrink, Teresa M.; Gersh, Bernard J.; Ommen, Steve R.; Ackerman, Michael J.; Bos, J. Martijn

    2016-01-01

    Genetic testing for hypertrophic cardiomyopathy (HCM) can provide an important clinical marker for disease outcome and family screening. This study set out to validate our recently developed phenotype-based HCM genotype predictor score. Patients clinically diagnosed with HCM and evaluated by genetic counselors comprised the study cohort. Genotype score was derived based on clinical and echocardio-graphic variables. Total score was correlated with the yield of genetic testing. Of 564 HCM patients, 198 sought genetic testing (35 %; 55 % male; mean age at diagnosis, 50 ±20 years). Of these, 101 patients (51 %) were genotype positive for a HCM-associated genetic mutation (55 % male; mean age at diagnosis, 42 ± 18 years). Cochran-Armitage analysis showed similar, statistically significant trends of increased yields for higher genotype scores for both the original and study cohort. Validated by the current study, this scoring system provides an easy-to-use, clinical tool to aid in determining the likelihood of a positive HCM genetic test. PMID:26914223

  20. Nonlinear scoring functions for similarity-based ligand docking and binding affinity prediction.

    PubMed

    Brylinski, Michal

    2013-11-25

    A common strategy for virtual screening considers a systematic docking of a large library of organic compounds into the target sites in protein receptors with promising leads selected based on favorable intermolecular interactions. Despite a continuous progress in the modeling of protein-ligand interactions for pharmaceutical design, important challenges still remain, thus the development of novel techniques is required. In this communication, we describe eSimDock, a new approach to ligand docking and binding affinity prediction. eSimDock employs nonlinear machine learning-based scoring functions to improve the accuracy of ligand ranking and similarity-based binding pose prediction, and to increase the tolerance to structural imperfections in the target structures. In large-scale benchmarking using the Astex/CCDC data set, we show that 53.9% (67.9%) of the predicted ligand poses have RMSD of <2 Å (<3 Å). Moreover, using binding sites predicted by recently developed eFindSite, eSimDock models ligand binding poses with an RMSD of 4 Å for 50.0-39.7% of the complexes at the protein homology level limited to 80-40%. Simulations against non-native receptor structures, whose mean backbone rearrangements vary from 0.5 to 5.0 Å Cα-RMSD, show that the ratio of docking accuracy and the estimated upper bound is at a constant level of ∼0.65. Pearson correlation coefficient between experimental and predicted by eSimDock Ki values for a large data set of the crystal structures of protein-ligand complexes from BindingDB is 0.58, which decreases only to 0.46 when target structures distorted to 3.0 Å Cα-RMSD are used. Finally, two case studies demonstrate that eSimDock can be customized to specific applications as well. These encouraging results show that the performance of eSimDock is largely unaffected by the deformations of ligand binding regions, thus it represents a practical strategy for across-proteome virtual screening using protein models. eSimDock is freely

  1. Rapid shape-based ligand alignment and virtual screening method based on atom/feature-pair similarities and volume overlap scoring.

    PubMed

    Sastry, G Madhavi; Dixon, Steven L; Sherman, Woody

    2011-10-24

    Shape-based methods for aligning and scoring ligands have proven to be valuable in the field of computer-aided drug design. Here, we describe a new shape-based flexible ligand superposition and virtual screening method, Phase Shape, which is shown to rapidly produce accurate 3D ligand alignments and efficiently enrich actives in virtual screening. We describe the methodology, which is based on the principle of atom distribution triplets to rapidly define trial alignments, followed by refinement of top alignments to maximize the volume overlap. The method can be run in a shape-only mode or it can include atom types or pharmacophore feature encoding, the latter consistently producing the best results for database screening. We apply Phase Shape to flexibly align molecules that bind to the same target and show that the method consistently produces correct alignments when compared with crystal structures. We then illustrate the effectiveness of the method for identifying active compounds in virtual screening of eleven diverse targets. Multiple parameters are explored, including atom typing, query structure conformation, and the database conformer generation protocol. We show that Phase Shape performs well in database screening calculations when compared with other shape-based methods using a common set of actives and decoys from the literature. PMID:21870862

  2. Prediction of nucleic acid binding probability in proteins: a neighboring residue network based score.

    PubMed

    Miao, Zhichao; Westhof, Eric

    2015-06-23

    We describe a general binding score for predicting the nucleic acid binding probability in proteins. The score is directly derived from physicochemical and evolutionary features and integrates a residue neighboring network approach. Our process achieves stable and high accuracies on both DNA- and RNA-binding proteins and illustrates how the main driving forces for nucleic acid binding are common. Because of the effective integration of the synergetic effects of the network of neighboring residues and the fact that the prediction yields a hierarchical scoring on the protein surface, energy funnels for nucleic acid binding appear on protein surfaces, pointing to the dynamic process occurring in the binding of nucleic acids to proteins. PMID:25940624

  3. Prediction of nucleic acid binding probability in proteins: a neighboring residue network based score

    PubMed Central

    Miao, Zhichao; Westhof, Eric

    2015-01-01

    We describe a general binding score for predicting the nucleic acid binding probability in proteins. The score is directly derived from physicochemical and evolutionary features and integrates a residue neighboring network approach. Our process achieves stable and high accuracies on both DNA- and RNA-binding proteins and illustrates how the main driving forces for nucleic acid binding are common. Because of the effective integration of the synergetic effects of the network of neighboring residues and the fact that the prediction yields a hierarchical scoring on the protein surface, energy funnels for nucleic acid binding appear on protein surfaces, pointing to the dynamic process occurring in the binding of nucleic acids to proteins. PMID:25940624

  4. Transferable scoring function based on semiempirical quantum mechanical PM6-DH2 method: CDK2 with 15 structurally diverse inhibitors.

    PubMed

    Dobeš, Petr; Fanfrlík, Jindřich; Rezáč, Jan; Otyepka, Michal; Hobza, Pavel

    2011-03-01

    A semiempirical quantum mechanical PM6-DH2 method accurately covering the dispersion interaction and H-bonding was used to score fifteen structurally diverse CDK2 inhibitors. The geometries of all the complexes were taken from the X-ray structures and were reoptimised by the PM6-DH2 method in continuum water. The total scoring function was constructed as an estimate of the binding free energy, i.e., as a sum of the interaction enthalpy, interaction entropy and the corrections for the inhibitor desolvation and deformation energies. The applied scoring function contains a clear thermodynamical terms and does not involve any adjustable empirical parameter. The best correlations with the experimental inhibition constants (ln K (i)) were found for bare interaction enthalpy (r (2) = 0.87) and interaction enthalpy corrected for ligand desolvation and deformation energies (r (2) = 0.77); when the entropic term was considered, however, the correlation becomes worse but still acceptable (r (2) = 0.52). The resulting correlation based on the PM6-DH2 scoring function is better than previously published function based on various docking/scoring, SAR studies or advanced QM/MM approach, however, the robustness is limited by number of available experimental data used in the correlation. Since a very similar correlation between the experimental and theoretical results was found also for a different system of the HIV-1 protease, the suggested scoring function based on the PM6-DH2 method seems to be applicable in drug design, even if diverse protein-ligand complexes have to be ranked. PMID:21286784

  5. The External Validity of Scores Based on the Two-Parameter Logistic Model: Some Comparisons between IRT and CTT

    ERIC Educational Resources Information Center

    Ferrando, Pere J.; Chico, Eliseo

    2007-01-01

    A theoretical advantage of item response theory (IRT) models is that trait estimates based on these models provide more test information than any other type of test score. It is still unclear, however, whether using IRT trait estimates improves external validity results in comparison with the results that can be obtained by using simple raw…

  6. Predictive Power of School Based Assessment Scores on Students' Achievement in Junior Secondary Certificate Examination (JSCE) in English and Mathematics

    ERIC Educational Resources Information Center

    Opara, Ijeoma M.; Onyekuru, Bruno U.; Njoku, Joyce U.

    2015-01-01

    The study investigated the predictive power of school based assessment scores on students' achievement in Junior Secondary Certificate Examination (JSCE) in English and Mathematics. Two hypotheses tested at 0.05 level of significance guided the study. The study adopted an ex-post facto research design. A sample of 250 students were randomly drawn…

  7. 16 CFR Appendix B to Part 698 - Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 16 Commercial Practices 1 2014-01-01 2014-01-01 false Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices B Appendix B to Part 698 Commercial Practices FEDERAL TRADE COMMISSION THE FAIR CREDIT REPORTING ACT MODEL FORMS AND DISCLOSURES Pt. 698, App. B Appendix B to Part...

  8. 16 CFR Appendix B to Part 698 - Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 16 Commercial Practices 1 2013-01-01 2013-01-01 false Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices B Appendix B to Part 698 Commercial Practices FEDERAL TRADE COMMISSION THE FAIR CREDIT REPORTING ACT MODEL FORMS AND DISCLOSURES Pt. 698, App. B Appendix B to Part...

  9. 16 CFR Appendix B to Part 698 - Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 16 Commercial Practices 1 2012-01-01 2012-01-01 false Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices B Appendix B to Part 698 Commercial Practices FEDERAL TRADE COMMISSION THE FAIR CREDIT REPORTING ACT MODEL FORMS AND DISCLOSURES Pt. 698, App. B Appendix B to Part...

  10. From Perception to Practice: The Impact of Teachers' Scoring Experience on Performance-based Instruction and Classroom Assessment.

    ERIC Educational Resources Information Center

    Goldberg, Gail Lynn; Roswell, Barbara Sherr

    2000-01-01

    Studied the impact of experience scoring the Maryland School Performance Assessment tasks on teachers' instructional and classroom assessment practice. Interview data, questionnaires, classroom observation, and classroom artifacts from approximately 5 teacher-scorers demonstrated that teachers' appropriation of performance-based instruction may be…

  11. Target Practice: Reader Response Theory and Teachers' Interpretations of Students' SAT 10 Scores in Data-Based Professional Development

    ERIC Educational Resources Information Center

    Atkinson, Becky M.

    2012-01-01

    The study reported in this article examines how teachers read and respond to their students' Stanford Achievement Test 10 (SAT 10) scores with the goal of investigating the assumption that data-based teaching practice is more "objective" and less susceptible to divergent teacher interpretation. The study uses reader response theory to frame…

  12. Effect of Clinically Discriminating, Evidence-Based Checklist Items on the Reliability of Scores from an Internal Medicine Residency OSCE

    ERIC Educational Resources Information Center

    Daniels, Vijay J.; Bordage, Georges; Gierl, Mark J.; Yudkowsky, Rachel

    2014-01-01

    Objective structured clinical examinations (OSCEs) are used worldwide for summative examinations but often lack acceptable reliability. Research has shown that reliability of scores increases if OSCE checklists for medical students include only clinically relevant items. Also, checklists are often missing evidence-based items that high-achieving…

  13. The new large-area wide-angle ground-based cosmic-ray and gamma-ray detector SCORE

    NASA Astrophysics Data System (ADS)

    Tluczykont, Martin; Hampf, Daniel; Horns, Dieter; Kneiske, Tanja; Rowell, Gavin

    We propose to explore the so-far poorly measured cosmic-ray and gamma-ray sky (accelerator sky) in the energy range from 10 TeV to 1 EeV with the new large-area (10 square-km) wide-angle (1 sr) air Cherenkov detector SCORE (Study for a Cosmic ORigin Explorer). The SCORE detector concept is based on non-imaging Cherenkov light-front sampling with sensitive large-area (order of square-m) detector modules, distributed over an array covering a total area of at least 10 square-kilometers. The lateral intensity and arrival-time distribu-tions will be sampled with high sensitivity up to large distances from the shower core. An extension of the SCORE detector to HiSCORE (Hundred Square-km Cosmic ORigin Explorer) is planned. With SCORE (and HiSCORE) fundamental physics questions can be addressed, including the origin of charged Galactic cosmic rays, diffuse gamma-ray emission from the Galactic plane and the local super-cluster, attenuation by Galactic interstellar radiaton fields and the cosmic microwave background and studies of possible effects on this attenuation by photon/axion conversion, hidden-sector photon oscillations or violation of Lorentz invariance. Further motivations are spectral and chemical composition measurements of charged cosmic rays from 100 TeV to 1 EeV and independent measurements of the proton-proton inelastic cross-section overlapping with and exceeding LHC energies. First simulations show that already SCORE has the potential to be competitive with existing and planned experiments above 10 TeV and outperforming above 100 TeV. The physics moti-vations, the detector concept / performance expectations and the status of our project will be presented.

  14. Scoring Concept Maps: An Expert Map-Based Scheme Weighted for Relationships.

    ERIC Educational Resources Information Center

    Rye, James A.; Rubba, Peter A.

    2002-01-01

    Scores student-constructed concept maps (n=17) that emerged from post-instructional interviews about chlorofluorocarbons against a teacher-expert map using a scheme weighted for relationships. Supports the recommendations of others to use expert referents and emphasize concept relationships in assessing concept maps. (Author/MM)

  15. Combining Propensity Score Matching and Group-Based Trajectory Analysis in an Observational Study

    ERIC Educational Resources Information Center

    Haviland, Amelia; Nagin, Daniel S.; Rosenbaum, Paul R.

    2007-01-01

    In a nonrandomized or observational study, propensity scores may be used to balance observed covariates and trajectory groups may be used to control baseline or pretreatment measures of outcome. The trajectory groups also aid in characterizing classes of subjects for whom no good matches are available and to define substantively interesting groups…

  16. A Survey of Attitudes towards the Clinical Application of Systemic Inflammation Based Prognostic Scores in Cancer

    PubMed Central

    Watt, David G.; Roxburgh, Campbell S.; White, Mark; Chan, Juen Zhik; Horgan, Paul G.; McMillan, Donald C.

    2015-01-01

    Introduction. The systemic inflammatory response (SIR) plays a key role in determining nutritional status and survival of patients with cancer. A number of objective scoring systems have been shown to have prognostic value; however, their application in routine clinical practice is not clear. The aim of the present survey was to examine the range of opinions internationally on the routine use of these scoring systems. Methods. An online survey was distributed to a target group consisting of individuals worldwide who have reported an interest in systemic inflammation in patients with cancer. Results. Of those invited by the survey (n = 238), 65% routinely measured the SIR, mainly for research and prognostication purposes and clinically for allocation of adjuvant therapy or palliative chemotherapy. 40% reported that they currently used the Glasgow Prognostic Score/modified Glasgow Prognostic Score (GPS/mGPS) and 81% reported that a measure of systemic inflammation should be incorporated into clinical guidelines, such as the definition of cachexia. Conclusions. The majority of respondents routinely measured the SIR in patients with cancer, mainly using the GPS/mGPS for research and prognostication purposes. The majority reported that a measure of the SIR should be adopted into clinical guidelines. PMID:26504363

  17. Experimenting with a Computer Essay-Scoring Program Based on ESL Student Writing Scripts

    ERIC Educational Resources Information Center

    Coniam, David

    2009-01-01

    This paper describes a study of the computer essay-scoring program BETSY. While the use of computers in rating written scripts has been criticised in some quarters for lacking transparency or lack of fit with how human raters rate written scripts, a number of essay rating programs are available commercially, many of which claim to offer comparable…

  18. An Assessment of Statistical Process Control-Based Approaches for Charting Student Evaluation Scores

    ERIC Educational Resources Information Center

    Ding, Xin; Wardell, Don; Verma, Rohit

    2006-01-01

    We compare three control charts for monitoring data from student evaluations of teaching (SET) with the goal of improving student satisfaction with teaching performance. The two charts that we propose are a modified "p" chart and a z-score chart. We show that these charts overcome some of the shortcomings of the more traditional charts…

  19. An Inmate Classification System Based on PCL: SV Factor Scores in a Sample of Prison Inmates

    ERIC Educational Resources Information Center

    Wogan, Michael; Mackenzie, Marci

    2007-01-01

    Psychopaths represent a significant management challenge in a prison population. A sample of ninety-five male inmates from three medium security prisons was tested using the Hare Psychopathy Checklist: Screening Version (PCL:SV). Using traditional criteria, 22% of the inmates were classified as psychopaths. Scores on the two factor dimensions of…

  20. Beyond Correctness: Development and Validation of Concept-Based Categorical Scoring Rubrics for Diagnostic Purposes

    ERIC Educational Resources Information Center

    Arieli-Attali, Meirav; Liu, Ying

    2016-01-01

    Diagnostic assessment approaches intend to provide fine-grained reports of what students know and can do, focusing on their areas of strengths and weaknesses. However, current application of such diagnostic approaches is limited by the scoring method for item responses; important diagnostic information, such as type of errors and strategy use is…

  1. Meditation Breath Attention Scores (MBAS): Development and investigation of an internet-based assessment of focused attention during meditation practice.

    PubMed

    Frewen, Paul; Hargraves, Heather; DePierro, Jonathan; D'Andrea, Wendy; Flodrowski, Les

    2016-07-01

    Meditation Breath Attention Scores (MBAS) represent a self-report, state measure of focused attention (FA) during the practice of meditation. The MBAS assessment procedure involves sounding a bell at periodic intervals during meditation practice, at which times participants indicate if they were attending toward breathing (scored 1) or if instead they had become distracted (e.g., by mind wandering; scored 0); scores are then tallied to yield participants' MBAS for that meditation. The current study developed and evaluated a fully automated and Internet-based version of MBAS in 1,101 volunteers. Results suggested that: (a) MBAS are internally consistent across bell rings; (b) MBAS total scores exhibit a non-normal distribution identifying subgroups of participants with particularly poor or robust FA during meditation; (c) MBAS decrease linearly with the duration of meditation practices, indicating that participants tend to experience less FA later as opposed to earlier in the meditation; (d) in the case of eyes-open meditation, MBAS are higher when the amount of time between bells is shorter; (e) MBAS correlate with various self-reported subjective experiences occurring during meditation; and (f) MBAS are weakly associated with higher trait mindful "acting with awareness," lesser ADHD-related symptoms of inattentiveness, and estimated minutes of meditation practiced in the past month. In sum, results provide further support for the construct validity of MBAS and serve to further characterize the dynamics of individual differences in FA during meditation. (PsycINFO Database Record PMID:27078182

  2. AP Potential™ Expectancy Tables Based on PSAT/NMSQT® and SAT® Scores on the 2015-16 Redesigned Scales. Statistical Report 2016-2

    ERIC Educational Resources Information Center

    Ewing, Maureen; Wyatt, Jeffrey N.; Smith, Kara

    2016-01-01

    Historically, AP Potential™ has used PSAT/NMSQT® scores to identify students who are likely to earn a 3 or higher on a specific AP® Exam--based on research showing moderate to strong relationships between PSAT/NMSQT scores and AP Exam scores (Camara & Millsap, 1998; Ewing, Camara & Millsap, 2006; Zhang, Patel & Ewing, 2014a). For most…

  3. A magnetic resonance imaging-based prognostic scoring system to predict outcome in transplant-eligible patients with multiple myeloma

    PubMed Central

    Mai, Elias K.; Hielscher, Thomas; Kloth, Jost K.; Merz, Maximilian; Shah, Sofia; Raab, Marc S.; Hillengass, Michaela; Wagner, Barbara; Jauch, Anna; Hose, Dirk; Weber, Marc-André; Delorme, Stefan; Goldschmidt, Hartmut; Hillengass, Jens

    2015-01-01

    Diffuse and focal bone marrow infiltration patterns detected by magnetic resonance imaging have been shown to be of prognostic significance in all stages of monoclonal plasma cell disorders and have, therefore, been incorporated into the definition of the disease. The aim of this retrospective analysis was to develop a rapidly evaluable prognostic scoring system, incorporating the most significant information acquired from magnetic resonance imaging. Therefore, the impact of bone marrow infiltration patterns on progression-free and overall survival in 161 transplant-eligible myeloma patients was evaluated. Compared to salt and pepper/minimal diffuse infiltration, moderate/severe diffuse infiltration had a negative prognostic impact on both progression-free survival (P<0.001) and overall survival (P=0.003). More than 25 focal lesions on whole-body magnetic resonance imaging or more than seven on axial magnetic resonance imaging were associated with an adverse prognosis (progression-free survival: P=0.001/0.003 and overall survival: P=0.04/0.02). A magnetic resonance imaging-based prognostic scoring system, combining grouped diffuse and focal infiltration patterns, was formulated and is applicable to whole-body as well as axial magnetic resonance imaging. The score identified high-risk patients with median progression-free and overall survival of 23.4 and 55.9 months, respectively (whole-body-based). Multivariate analyses demonstrated that the magnetic resonance imaging-based prognostic score stage III (high-risk) and adverse cytogenetics are independent prognostic factors for both progression-free and overall survival (whole-body-based, progression-free survival: hazard ratio=3.65, P<0.001; overall survival: hazard ratio=5.19, P=0.005). In conclusion, we suggest a magnetic resonance imaging-based prognostic scoring system which is a robust, easy to assess and interpret parameter summarizing significant magnetic resonance imaging findings in transplant

  4. Aggregate entropy scoring for quantifying activity across endpoints with irregular correlation structure.

    PubMed

    Zhang, Guozhu; Marvel, Skylar; Truong, Lisa; Tanguay, Robert L; Reif, David M

    2016-07-01

    Robust computational approaches are needed to characterize systems-level responses to chemical perturbations in environmental and clinical toxicology applications. Appropriate characterization of response presents a methodological challenge when dealing with diverse phenotypic endpoints measured using in vivo systems. In this article, we propose an information-theoretic method named Aggregate Entropy (AggE) and apply it to scoring multiplexed, phenotypic endpoints measured in developing zebrafish (Danio rerio) across a broad concentration-response profile for a diverse set of 1060 chemicals. AggE accurately identified chemicals with significant morphological effects, including single-endpoint effects and multi-endpoint responses that would have been missed by univariate methods, while avoiding putative false-positives that confound traditional methods due to irregular correlation structure. By testing AggE in a variety of high-dimensional real and simulated datasets, we have characterized its performance and suggested implementation parameters that can guide its application across a wide range of experimental scenarios. PMID:27132190

  5. A Prognostic Model Using Inflammation- and Nutrition-Based Scores in Patients With Metastatic Gastric Adenocarcinoma Treated With Chemotherapy.

    PubMed

    Hsieh, Meng-Che; Wang, Shih-Hor; Chuah, Seng-Kee; Lin, Yu-Hung; Lan, Jui; Rau, Kun-Ming

    2016-04-01

    The outcomes of patients with metastatic gastric cancer (mGC) are poor. Recent studies have identified the prognostic impact of inflammatory response and nutritional status on survival for patients with gastric cancer. This study aims to create a prognostic model using inflammatory- and nutrition-based scores to predict survival in patients with mGC treated with chemotherapy.After institutional review board approval, patients who had mGC and were treated with chemotherapy from 2007 to 2012 at Kaohsiung Chang Gung Memorial Hospital were retrospectively reviewed. Significantly predictive factors were identified by multivariate Cox regression analyses. Based on these variables, a prognostic model using inflammatory- and nutrition-based scores was constructed to predict survival. Kaplan-Meier curves were plotted to estimate overall survival. The c-statistic values with 95% confidence interval (CI) were also calculated to access their predicting performances.Our study consisted of 256 patients with a median age of 60 years and a median follow-up visit of 18.5 months. Multivariate analyses showed that neutrophil to lymphocyte ratio (NLR), modified Glasgow prognostic score (mGPS), and Patient-Generated Subjective Global Assessment (PG-SGA) were independently related to survival. After computing these scores, patients were classified into favorable-, intermediate-, and poor-risk groups. The median overall survival were 27.6 versus 13.2 versus 8.2 months in favorable, intermediate, and poor-risk groups, respectively. The 2-year survival rate was 52% versus 16% versus 3% in favorable-, intermediate-, and poor-risk groups, respectively. (P < 0.001). The c-statistic value of our model at 2 years is 0.8 (95% CI, 0.75-0.86).NLR, mGPS, and PG-SGA were independently related to survival. Our prognostic model using inflammatory- and nutrition-based scores could provide prognostic information to patients and physicians. PMID:27124056

  6. A Prognostic Model Using Inflammation- and Nutrition-Based Scores in Patients With Metastatic Gastric Adenocarcinoma Treated With Chemotherapy

    PubMed Central

    Hsieh, Meng-Che; Wang, Shih-Hor; Chuah, Seng-Kee; Lin, Yu-Hung; Lan, Jui; Rau, Kun-Ming

    2016-01-01

    Abstract The outcomes of patients with metastatic gastric cancer (mGC) are poor. Recent studies have identified the prognostic impact of inflammatory response and nutritional status on survival for patients with gastric cancer. This study aims to create a prognostic model using inflammatory- and nutrition-based scores to predict survival in patients with mGC treated with chemotherapy. After institutional review board approval, patients who had mGC and were treated with chemotherapy from 2007 to 2012 at Kaohsiung Chang Gung Memorial Hospital were retrospectively reviewed. Significantly predictive factors were identified by multivariate Cox regression analyses. Based on these variables, a prognostic model using inflammatory- and nutrition-based scores was constructed to predict survival. Kaplan-Meier curves were plotted to estimate overall survival. The c-statistic values with 95% confidence interval (CI) were also calculated to access their predicting performances. Our study consisted of 256 patients with a median age of 60 years and a median follow-up visit of 18.5 months. Multivariate analyses showed that neutrophil to lymphocyte ratio (NLR), modified Glasgow prognostic score (mGPS), and Patient-Generated Subjective Global Assessment (PG-SGA) were independently related to survival. After computing these scores, patients were classified into favorable-, intermediate-, and poor-risk groups. The median overall survival were 27.6 versus 13.2 versus 8.2 months in favorable, intermediate, and poor-risk groups, respectively. The 2-year survival rate was 52% versus 16% versus 3% in favorable-, intermediate-, and poor-risk groups, respectively. (P < 0.001). The c-statistic value of our model at 2 years is 0.8 (95% CI, 0.75–0.86). NLR, mGPS, and PG-SGA were independently related to survival. Our prognostic model using inflammatory- and nutrition-based scores could provide prognostic information to patients and physicians. PMID:27124056

  7. Clinical performance of two visual scoring systems in detecting and assessing activity status of occlusal caries in primary teeth.

    PubMed

    Braga, M M; Ekstrand, K R; Martignon, S; Imparato, J C P; Ricketts, D N J; Mendes, F M

    2010-01-01

    This study aimed to compare the clinical performance of two sets of visual scoring criteria for detecting caries severity and assessing caries activity status in occlusal surfaces. Two visual scoring systems--the Nyvad criteria (NY) and the ICDAS-II including an adjunct system for lesion activity assessment (ICDAS-LAA)--were compared using 763 primary molars of 139 children aged 3-12 years. The examinations were performed by 2 calibrated examiners. A subsample (n = 50) was collected after extraction and histology with 0.1% red methyl dye was performed to validate lesion depth and activity. The reproducibility of the indices was calculated (kappa test) and ROC analysis was performed to assess their validity and related parameters were compared using McNemar's test. The association between the indices and with the histological examination was evaluated using Spearman's correlation coefficient (r(s)). Visual criteria showed excellent reproducibility both regarding severity (NY: 0.94; ICDAS-II: 0.91) and activity (NY: 0.90; LAA: 0.91). The NY and LAA showed good association in caries activity assessment (r(s) = 0.88; 95% CI = 0.86-0.89; p < 0.001). Nevertheless, considering only cavitated lesions, this association was not significant (p > 0.05). Concerning the severity, both indices presented similar validity parameters. At D2 threshold, the sensitivity was higher for NY (NY = 0.87; ICDAS = 0.61, p < 0.05). Regarding activity status, NY showed higher specificities and accuracies. In conclusion, NY and ICDAS-II criteria are comparable and present good reproducibility and validity to detect caries lesions and estimate their severities, but the LAA seems to overestimate the caries activity assessment of cavitated lesions compared to NY. PMID:20530964

  8. Scored Discussions.

    ERIC Educational Resources Information Center

    Zola, John

    1992-01-01

    Suggests a classroom strategy to help students learn to analyze and discuss significant issues from history and current policy debates. Describes scored discussions in which small groups of students receive points for participation. Provides an example of a discussion on gold mining. Includes an agenda. Explores uses of scored discussions and…

  9. Scoring Package

    National Institute of Standards and Technology Data Gateway

    NIST Scoring Package (PC database for purchase)   The NIST Scoring Package (Special Database 1) is a reference implementation of the draft Standard Method for Evaluating the Performance of Systems Intended to Recognize Hand-printed Characters from Image Data Scanned from Forms.

  10. Combinatorial Consensus Scoring for Ligand-Based Virtual Fragment Screening: A Comparative Case Study for Serotonin 5-HT(3)A, Histamine H(1), and Histamine H(4) Receptors.

    PubMed

    Schultes, Sabine; Kooistra, Albert J; Vischer, Henry F; Nijmeijer, Saskia; Haaksma, Eric E J; Leurs, Rob; de Esch, Iwan J P; de Graaf, Chris

    2015-05-26

    In the current study we have evaluated the applicability of ligand-based virtual screening (LBVS) methods for the identification of small fragment-like biologically active molecules using different similarity descriptors and different consensus scoring approaches. For this purpose, we have evaluated the performance of 14 chemical similarity descriptors in retrospective virtual screening studies to discriminate fragment-like ligands of three membrane-bound receptors from fragments that are experimentally determined to have no affinity for these proteins (true inactives). We used a complete fragment affinity data set of experimentally determined ligands and inactives for two G protein-coupled receptors (GPCRs), the histamine H1 receptor (H1R) and the histamine H4 receptor (H4R), and one ligand-gated ion channel (LGIC), the serotonin receptor (5-HT3AR), to validate our retrospective virtual screening studies. We have exhaustively tested consensus scoring strategies that combine the results of multiple actives (group fusion) or combine different similarity descriptors (similarity fusion), and for the first time systematically evaluated different combinations of group fusion and similarity fusion approaches. Our studies show that for these three case study protein targets both consensus scoring approaches can increase virtual screening enrichments compared to single chemical similarity search methods. Our cheminformatics analyses recommend to use a combination of both group fusion and similarity fusion for prospective ligand-based virtual fragment screening. PMID:25815783

  11. Tumor budding score based on 10 high-power fields is a promising basis for a standardized prognostic scoring system in stage II colorectal cancer.

    PubMed

    Horcic, Milo; Koelzer, Viktor H; Karamitopoulou, Eva; Terracciano, Luigi; Puppa, Giacomo; Zlobec, Inti; Lugli, Alessandro

    2013-05-01

    Tumor budding is recognized by the World Health Organization as an additional prognostic factor in colorectal cancer but remains unreported in diagnostic work due to the absence of a standardized scoring method. This study aims to assess the most prognostic and reproducible scoring systems for tumor budding in colorectal cancer. Tumor budding on pancytokeratin-stained whole tissue sections from 105 well-characterized stage II patients was scored by 3 observers using 7 methods: Hase, Nakamura, Ueno, Wang (conventional and rapid method), densest high-power field, and 10 densest high-power fields. The predictive value for clinicopathologic features, the prognostic significance, and interobserver variability of each scoring method was analyzed. Pancytokeratin staining allowed accurate evaluation of tumor buds. Interobserver agreement for 3 observers was excellent for densest high-power field (intraclass correlation coefficient, 0.83) and 10 densest high-power fields (intraclass correlation coefficient, 0.91). Agreement was moderate to substantial for the conventional Wang method (κ = 0.46-0.62) and moderate for the rapid method (κ = 0.46-0.58). For Nakamura, moderate agreement (κ = 0.41-0.52) was reached, whereas concordance was fair to moderate for Ueno (κ = 0.39-0.56) and Hase (κ = 0.29-0.51). The Hase, Ueno, densest high-power field, and 10 densest high-power field methods identified a significant association of tumor budding with tumor border configuration. In multivariate analysis, only tumor budding as evaluated in densest high-power field and 10 densest high-power fields had significant prognostic effects on patient survival (P < .01), with high prognostic accuracy over the full 10-year follow-up. Scoring tumor buds in 10 densest high-power fields is a promising method to identify stage II patients at high risk for recurrence in daily diagnostics; it is highly reproducible, accounts for heterogeneity, and has a strong predictive value for adverse outcome

  12. Risk of Pathologic Upgrading or Locally Advanced Disease in Early Prostate Cancer Patients Based on Biopsy Gleason Score and PSA: A Population-Based Study of Modern Patients

    SciTech Connect

    Caster, Joseph M.; Falchook, Aaron D.; Hendrix, Laura H.; Chen, Ronald C.

    2015-06-01

    Purpose: Radiation oncologists rely on available clinical information (biopsy Gleason score and prostate-specific antigen [PSA]) to determine the optimal treatment regimen for each prostate cancer patient. Existing published nomograms correlating clinical to pathologic extent of disease were based on patients treated in the 1980s and 1990s at select academic institutions. We used the Surveillance, Epidemiology, and End Results (SEER) database to examine pathologic outcomes (Gleason score and cancer stage) in early prostate cancer patients based on biopsy Gleason score and PSA concentration. Methods and Materials: This analysis included 25,858 patients whose cancer was diagnosed between 2010 and 2011, with biopsy Gleason scores of 6 to 7 and clinical stage T1 to T2 disease, who underwent radical prostatectomy. In subgroups based on biopsy Gleason score and PSA level, we report the proportion of patients with pathologically advanced disease (positive surgical margin or pT3-T4 disease) or whose Gleason score was upgraded. Logistic regression was used to examine factors associated with pathologic outcomes. Results: For patients with biopsy Gleason score 6 cancers, 84% of those with PSA <10 ng/mL had surgical T2 disease with negative margins; this decreased to 61% in patients with PSA of 20 to 29.9 ng/mL. Gleason score upgrading was seen in 43% (PSA: <10 ng/mL) to 61% (PSA: 20-29.9 ng/mL) of biopsy Gleason 6 patients. Patients with biopsy Gleason 7 cancers had a one-third (Gleason 3 + 4; PSA: <10 ng/mL) to two-thirds (Gleason 4 + 3; PSA: 20-29.9 ng/mL) probability of having pathologically advanced disease. Gleason score upgrading was seen in 11% to 19% of patients with biopsy Gleason 4 + 3 cancers. Multivariable analysis showed that higher PSA and older age were associated with Gleason score upgrading and pathologically advanced disease. Conclusions: This is the first population-based study to examine pathologic extent of disease and pathologic Gleason score

  13. A New Scoring Function for Molecular Docking Based on AutoDock and AutoDock Vina.

    PubMed

    Tanchuk, Vsevolod Yu; Tanin, Volodymyr O; Vovk, Andriy I; Poda, Gennady

    2015-01-01

    Molecular docking of small molecules in the protein binding sites is the most widely used computational technique in modern structure-based drug discovery. Although accurate prediction of binding modes of small molecules can be achieved in most cases, estimation of their binding affinities remains mediocre at best. As an attempt to improve the correlation between the inhibitory constants, pKi, and scoring, we created a new, hybrid scoring function. The new function is a linear combination of the terms of the scoring functions of AutoDock and AutoDock Vina. It was trained on 2,412 protein-ligand complexes from the PDBbind database (www.pdbbind.org.cn, version 2012) and validated on a set of 313 complexes released in the 2013 version as a test set. The new function was included in a modified version of AutoDock. The hybrid scoring function showed a statistically significant improvement in both training and test sets in terms of correlation with and root mean square and mean absolute errors in prediction of pKi values. It was also tested on the CSAR 2014 Benchmark Exercise dataset (team T) and produced reasonably good results. PMID:26302746

  14. Prealbumin/CRP Based Prognostic Score, a New Tool for Predicting Metastasis in Patients with Inoperable Gastric Cancer

    PubMed Central

    Esfahani, Ali; Makhdami, Nima; Faramarzi, Elnaz; Asghari Jafarabadi, Mohammad; Ostadrahimi, Alireza; Ghayour Nahand, Mousa; Ghoreishi, Zohreh

    2016-01-01

    Background. There is a considerable dissimilarity in the survival duration of the patients with gastric cancer. We aimed to assess the systemic inflammatory response (SIR) and nutritional status of these patients before the commencement of chemotherapy to find the appropriate prognostic factors and define a new score for predicting metastasis. Methods. SIR was assessed using Glasgow Prognostic Score (GPS). Then a score was defined as prealbumin/CRP based prognostic score (PCPS) to be compared with GPS for predicting metastasis and nutritional status. Results. 71 patients with gastric cancer were recruited in the study. 87% of patients had malnutrition. There was a statistical difference between those with metastatic (n = 43) and those with nonmetastatic (n = 28) gastric cancer according to levels of prealbumin and CRP; however they were not different regarding patient generated subjective global assessment (PG-SGA) and GPS. The best cut-off value for prealbumin was determined at 0.20 mg/dL and PCPS could predict metastasis with 76.5% sensitivity, 63.6% specificity, and 71.4% accuracy. Metastatic and nonmetastatic gastric cancer patients were different in terms of PCPS (P = 0.005). Conclusion. PCPS has been suggested for predicting metastasis in patients with gastric cancer. Future studies with larger sample size have been warranted. PMID:26904109

  15. Prealbumin/CRP Based Prognostic Score, a New Tool for Predicting Metastasis in Patients with Inoperable Gastric Cancer.

    PubMed

    Esfahani, Ali; Makhdami, Nima; Faramarzi, Elnaz; Asghari Jafarabadi, Mohammad; Ostadrahimi, Alireza; Ghayour Nahand, Mousa; Ghoreishi, Zohreh

    2016-01-01

    Background. There is a considerable dissimilarity in the survival duration of the patients with gastric cancer. We aimed to assess the systemic inflammatory response (SIR) and nutritional status of these patients before the commencement of chemotherapy to find the appropriate prognostic factors and define a new score for predicting metastasis. Methods. SIR was assessed using Glasgow Prognostic Score (GPS). Then a score was defined as prealbumin/CRP based prognostic score (PCPS) to be compared with GPS for predicting metastasis and nutritional status. Results. 71 patients with gastric cancer were recruited in the study. 87% of patients had malnutrition. There was a statistical difference between those with metastatic (n = 43) and those with nonmetastatic (n = 28) gastric cancer according to levels of prealbumin and CRP; however they were not different regarding patient generated subjective global assessment (PG-SGA) and GPS. The best cut-off value for prealbumin was determined at 0.20 mg/dL and PCPS could predict metastasis with 76.5% sensitivity, 63.6% specificity, and 71.4% accuracy. Metastatic and nonmetastatic gastric cancer patients were different in terms of PCPS (P = 0.005). Conclusion. PCPS has been suggested for predicting metastasis in patients with gastric cancer. Future studies with larger sample size have been warranted. PMID:26904109

  16. Students Score!

    ERIC Educational Resources Information Center

    Harris-Frederick, Cynthia

    2000-01-01

    Describes how one teacher used peer review to help students understand state content standards. Students held one another accountable for the basics, then she assessed the core content of their work. To get students thinking about standards-based learning, she used a pizza activity. Next, students created rubrics for assessing book reports and…

  17. Advanced Taste Sensors Based on Artificial Lipids with Global Selectivity to Basic Taste Qualities and High Correlation to Sensory Scores

    PubMed Central

    Kobayashi, Yoshikazu; Habara, Masaaki; Ikezazki, Hidekazu; Chen, Ronggang; Naito, Yoshinobu; Toko, Kiyoshi

    2010-01-01

    Effective R&D and strict quality control of a broad range of foods, beverages, and pharmaceutical products require objective taste evaluation. Advanced taste sensors using artificial-lipid membranes have been developed based on concepts of global selectivity and high correlation with human sensory score. These sensors respond similarly to similar basic tastes, which they quantify with high correlations to sensory score. Using these unique properties, these sensors can quantify the basic tastes of saltiness, sourness, bitterness, umami, astringency and richness without multivariate analysis or artificial neural networks. This review describes all aspects of these taste sensors based on artificial lipid, ranging from the response principle and optimal design methods to applications in the food, beverage, and pharmaceutical markets. PMID:22319306

  18. Validity of PALMS GPS Scoring of Active and Passive Travel Compared to SenseCam

    PubMed Central

    Carlson, Jordan A.; Jankowska, Marta M.; Meseck, Kristin; Godbole, Suneeta; Natarajan, Loki; Raab, Fredric; Demchak, Barry; Patrick, Kevin; Kerr, Jacqueline

    2014-01-01

    Purpose To assess validity of the Personal Activity Location Measurement System (PALMS) for deriving time spent walking/running, bicycling, and in vehicle, using SenseCam as the comparison. Methods 40 adult cyclists wore a Qstarz BT-Q1000XT GPS data logger and SenseCam (camera worn around neck capturing multiple images every minute) for a mean of 4 days. PALMS used distance and speed between GPS points to classify whether each minute was part of a trip (yes/no), and if so, the trip mode (walking/running, bicycling, in vehicle). SenseCam images were annotated to create the same classifications (i.e., trip yes/no and mode). 2×2 contingency tables and confusion matrices were calculated at the minute-level for PALMS vs. SenseCam classifications. Mixed-effects linear regression models estimated agreement (mean differences and intraclass correlations [ICCs]) between PALMS and SenseCam with regards to minutes/day in each mode. Results Minute-level sensitivity, specificity, and negative predictive value were ≥88%, and positive predictive value was ≥75% for non mode-specific trip detection. 72–80% of outdoor walking/running minutes, 73% of bicycling minutes, and 74–76% of in-vehicle minutes were correctly classified by PALMS. For minutes/day, PALMS had a mean bias (i.e., amount of over or under estimation) of 2.4–3.1 minutes (11–15%) for walking/running, 2.3–2.9 minutes (7–9%) for bicycling, and 4.3–5 minutes (15–17%) for vehicle time. ICCs were ≥.80 for all modes. Conclusions PALMS has validity for processing GPS data to objectively measure time walking/running, bicycling, and in vehicle in population studies. Assessing travel patterns is one of many valuable applications of GPS in physical activity research that can improve our understanding of the determinants and health outcomes of active transportation as well as its impact on physical activity. PMID:25010407

  19. Predicting GED Scores on the Bases of Expectancy, Valence, Intelligence, and Pretest Skill Levels with the Disadvantaged.

    ERIC Educational Resources Information Center

    Moore, Ray T.; Davies, Jon A.

    1984-01-01

    Prediction of General Educational Development (GED) scores from motivational variables derived from Vroom's expectancy-valence theorem was hypothesized. The Tests of Adult Basic Education score, General Aptitude Test Battery score, MD1 expectancy subscale score, and Minnesota Multiphasic Personality Inventory defensiveness score accounted for…

  20. Inflammation-based scores do not predict post-transplant recurrence of hepatocellular carcinoma in patients within Milan criteria.

    PubMed

    Parisi, Ioanna; Tsochatzis, Emmanuel; Wijewantha, Hasitha; Rodríguez-Perálvarez, Manuel; De Luca, Laura; Manousou, Pinelopi; Fatourou, Evangelia; Pieri, Giulia; Papastergiou, Vassilios; Davies, Neil; Yu, Dominic; Luong, TuVinh; Dhillon, Amar Paul; Thorburn, Douglas; Patch, David; O'Beirne, James; Meyer, Tim; Burroughs, Andrew K

    2014-11-01

    Increased preoperative inflammation scores, such as neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and inflammation-based index (IBI) have been related to post-transplant HCC recurrence. We evaluated the association between inflammation-based scores (NLR, PLR, IBI) and post-LT HCC recurrence as well as tumor necrosis after transarterial embolization. 150 consecutive patients who underwent transplantation for HCC within the Milan criteria between 1996 and 2010 were included; data regarding inflammatory markers, patient and tumor characteristics were analyzed. NLR, PLR, and IBI were not significantly associated with post-LT HCC recurrence or worse overall survival. Increased NLR and PLR were associated with complete tumor necrosis in the subset of patients who received preoperative transarterial embolization (P < 0.05). Cox regression analysis revealed that absence of neoadjuvant transarterial therapy (OR = 4.33, 95% CI = 1.28-14.64; P = 0.02) and no fulfillment of the Milan criteria in the explanted liver (OR = 3.34, 95% CI = 1.08-10.35; P = 0.04) were independently associated with post-LT HCC recurrence inflammation-based scores did not predict HCC recurrence post-LT in our group of patients. NLR and PLR were associated with better response to TAE, as this was recorded histologically in the explanted liver. Histological fulfillment of the Milan criteria and absence of neoadjuvant transarterial treatment were significantly associated with post-LT HCC recurrence. PMID:25088400

  1. Job level risk assessment using task level ACGIH hand activity level TLV scores: a pilot study.

    PubMed

    Drinkaus, Phillip; Sesek, Richard; Bloswick, Donald S; Mann, Clay; Bernard, Thomas

    2005-01-01

    Existing upper extremity musculoskeletal disorder analytical tools are primarily intended for single or mono-task jobs. However, many jobs contain more than 1 task and some include job rotation. This case/control study investigates methods of modifying an existing tool, the American Conference of Governmental Industrial Hygienists (ACGIH) Hand Activity Level (HAL) Threshold Limit Value (TLV), to assess the upper extremity risk of multi-task jobs. Various methods of combining the task differences and ratios into a job level assessment were explored. Two methods returned significant odds ratios, (p < .05) of 18.0 (95% CI 1.8-172) and 12.0 (95% CI 1.2-120). These results indicate that a modified ACGIH HAL TLV may provide insight into the work-related risk of multi-task jobs. Further research is needed to optimize this process. PMID:16219155

  2. An Adaptive Algebra Test: A Testlet-Based, Hierarchically-Structured Test with Validity-Based Scoring. Technical Report No. 90-92.

    ERIC Educational Resources Information Center

    Wainer, Howard; And Others

    The initial development of a testlet-based algebra test was previously reported (Wainer and Lewis, 1990). This account provides the details of this excursion into the use of hierarchical testlets and validity-based scoring. A pretest of two 15-item hierarchical testlets was carried out in which examinees' performance on a 4-item subset of each…

  3. A scoring function based on solvation thermodynamics for protein structure prediction

    PubMed Central

    Du, Shiqiao; Harano, Yuichi; Kinoshita, Masahiro; Sakurai, Minoru

    2012-01-01

    We predict protein structure using our recently developed free energy function for describing protein stability, which is focused on solvation thermodynamics. The function is combined with the current most reliable sampling methods, i.e., fragment assembly (FA) and comparative modeling (CM). The prediction is tested using 11 small proteins for which high-resolution crystal structures are available. For 8 of these proteins, sequence similarities are found in the database, and the prediction is performed with CM. Fairly accurate models with average Cα root mean square deviation (RMSD) ∼ 2.0 Å are successfully obtained for all cases. For the rest of the target proteins, we perform the prediction following FA protocols. For 2 cases, we obtain predicted models with an RMSD ∼ 3.0 Å as the best-scored structures. For the other case, the RMSD remains larger than 7 Å. For all the 11 target proteins, our scoring function identifies the experimentally determined native structure as the best structure. Starting from the predicted structure, replica exchange molecular dynamics is performed to further refine the structures. However, we are unable to improve its RMSD toward the experimental structure. The exhaustive sampling by coarse-grained normal mode analysis around the native structures reveals that our function has a linear correlation with RMSDs < 3.0 Å. These results suggest that the function is quite reliable for the protein structure prediction while the sampling method remains one of the major limiting factors in it. The aspects through which the methodology could further be improved are discussed.

  4. An Automatic Assessment System of Diabetic Foot Ulcers Based on Wound Area Determination, Color Segmentation, and Healing Score Evaluation

    PubMed Central

    Wang, Lei; Pedersen, Peder C.; Strong, Diane M.; Tulu, Bengisu; Agu, Emmanuel; Ignotz, Ron; He, Qian

    2015-01-01

    Background: For individuals with type 2 diabetes, foot ulcers represent a significant health issue. The aim of this study is to design and evaluate a wound assessment system to help wound clinics assess patients with foot ulcers in a way that complements their current visual examination and manual measurements of their foot ulcers. Methods: The physical components of the system consist of an image capture box, a smartphone for wound image capture and a laptop for analyzing the wound image. The wound image assessment algorithms calculate the overall wound area, color segmented wound areas, and a healing score, to provide a quantitative assessment of the wound healing status both for a single wound image and comparisons of subsequent images to an initial wound image. Results: The system was evaluated by assessing foot ulcers for 12 patients in the Wound Clinic at University of Massachusetts Medical School. As performance measures, the Matthews correlation coefficient (MCC) value for the wound area determination algorithm tested on 32 foot ulcer images was .68. The clinical validity of our healing score algorithm relative to the experienced clinicians was measured by Krippendorff’s alpha coefficient (KAC) and ranged from .42 to .81. Conclusion: Our system provides a promising real-time method for wound assessment based on image analysis. Clinical comparisons indicate that the optimized mean-shift-based algorithm is well suited for wound area determination. Clinical evaluation of our healing score algorithm shows its potential to provide clinicians with a quantitative method for evaluating wound healing status. PMID:26253144

  5. Audit of therapeutic interventions in inpatient children using two scores: are they evidence-based in developing countries?

    PubMed Central

    Carreazo, Nilton Y; Bada, Carlos A; Chalco, Juan P; Huicho, Luis

    2004-01-01

    Background The evidence base of clinical interventions in paediatric hospitals of developing countries has not been formally assessed. We performed this study to determine the proportion of evidence-based therapeutic interventions in a paediatric referral hospital of a developing country Methods The medical records of 167 patients admitted in one-month period were revised. Primary diagnosis and primary therapeutic interventions were determined for each patient. A systematic search was performed to assess the level of evidence for each intervention. Therapeutic interventions were classified using the Ellis score and the Oxford Centre for Evidence Based Medicine Levels of Evidence Results Any dehydration due to diarrhoea (59 cases) and pneumonia (42 cases) were the most frequent diagnoses. Based on Ellis score, level I evidence supported the primary therapeutic intervention in 21%, level II in 73% and level III in 6% cases. Using the Oxford classification 16%, 8%, 1% and 75% therapeutic interventions corresponded to grades A, B, C, and D recommendations, respectively. Overall, according to Ellis score, 94% interventions were evidence based. However, out of the total, 75% interventions were based on expert opinion or basic sciences. Most children with mild to moderate dehydration (52 cases) were inappropriately treated with slow intravenous fluids, and most children with non-complicated community acquired pneumonia (42 cases) received intravenous antibiotics Conclusions Most interventions were inappropriate, despite the availability of effective therapy for several of them. Diarrhoeal dehydration and community acquired pneumonia were the most common diagnoses and were inappropriately managed. Existing effective interventions for dehydration and pneumonia need to be put into practice at referral hospitals of developing countries. For the remaining problems, there is the need to conduct appropriate clinical studies. Caution must be taken when assigning the level of

  6. Reliable Change Indices and Standardized Regression-Based Change Score Norms for Evaluating Neuropsychological Change in Children with Epilepsy

    PubMed Central

    Busch, Robyn M.; Lineweaver, Tara T.; Ferguson, Lisa; Haut, Jennifer S.

    2015-01-01

    Reliable change index scores (RCIs) and standardized regression-based change score norms (SRBs) permit evaluation of meaningful changes in test scores following treatment interventions, like epilepsy surgery, while accounting for test-retest reliability, practice effects, score fluctuations due to error, and relevant clinical and demographic factors. Although these methods are frequently used to assess cognitive change after epilepsy surgery in adults, they have not been widely applied to examine cognitive change in children with epilepsy. The goal of the current study was to develop RCIs and SRBs for use in children with epilepsy. Sixty-three children with epilepsy (age range 6–16; M=10.19, SD=2.58) underwent comprehensive neuropsychological evaluations at two time points an average of 12 months apart. Practice adjusted RCIs and SRBs were calculated for all cognitive measures in the battery. Practice effects were quite variable across the neuropsychological measures, with the greatest differences observed among older children, particularly on the Children’s Memory Scale and Wisconsin Card Sorting Test. There was also notable variability in test-retest reliabilities across measures in the battery, with coefficients ranging from 0.14 to 0.92. RCIs and SRBs for use in assessing meaningful cognitive change in children following epilepsy surgery are provided for measures with reliability coefficients above 0.50. This is the first study to provide RCIs and SRBs for a comprehensive neuropsychological battery based on a large sample of children with epilepsy. Tables to aid in evaluating cognitive changes in children who have undergone epilepsy surgery are provided for clinical use. An excel sheet to perform all relevant calculations is also available to interested clinicians or researchers. PMID:26043163

  7. Ethnic differences in maternal dietary patterns are largely explained by socio-economic score and integration score: a population-based study

    PubMed Central

    Sommer, Christine; Sletner, Line; Jenum, Anne K.; Mørkrid, Kjersti; Andersen, Lene F.; Birkeland, Kåre I.; Mosdøl, Annhild

    2013-01-01

    Background The impact of socio-economic position and integration level on the observed ethnic differences in dietary habits has received little attention. Objectives To identify and describe dietary patterns in a multi-ethnic population of pregnant women, to explore ethnic differences in odds ratio (OR) for belonging to a dietary pattern, when adjusted for socio-economic status and integration level and to examine whether the dietary patterns were reflected in levels of biomarkers related to obesity and hyperglycaemia. Design This cross-sectional study was a part of the STORK Groruddalen study. In total, 757 pregnant women, of whom 59% were of a non-Western origin, completed a food frequency questionnaire in gestational week 28±2. Dietary patterns were extracted through cluster analysis using Ward's method. Results Four robust clusters were identified where cluster 4 was considered the healthier dietary pattern and cluster 1 the least healthy. All non-European women as compared to Europeans had higher OR for belonging to the unhealthier dietary patterns 1–3 vs. cluster 4. Women from the Middle East and Africa had the highest OR, 21.5 (95% CI 10.6–43.7), of falling into cluster 1 vs. 4 as compared to Europeans. The ORs decreased substantially after adjusting for socio-economic score and integration score. A non-European ethnic origin, low socio-economic and integration scores, conduced higher OR for belonging to clusters 1, 2, and 3 as compared to cluster 4. Significant differences in fasting and 2-h glucose, fasting insulin, glycosylated haemoglobin (HbA1c), insulin resistance (HOMA-IR), and total cholesterol were observed across the dietary patterns. After adjusting for ethnicity, differences in fasting insulin (p=0.015) and HOMA-IR (p=0.040) across clusters remained significant, despite low power. Conclusion The results indicate that socio-economic and integration level may explain a large proportion of the ethnic differences in dietary patterns. PMID

  8. [Assessment of Cachexia in Head and Neck Cancer Patients Based on a Modified Glasgow Prognostic Score].

    PubMed

    Matsuzuka, Takashi; Suzuki, Masahiro; Saijoh, Satoshi; Ikeda, Masakazu; Imaizumi, Mitsumasa; Nomoto, Yukio; Matsui, Takamichi; Tada, Yasuhiro; Omori, Koichi

    2016-02-01

    We retrospectively analyzed 54 patients who died of head and neck squamous cell caricinoma regarding the process and duration of cachexia using the modified Glasgow Prognostic Score (mGPS). The patients were classified as having cachexia when the serum albumin level was less than 3.5 mg/dL and the C-reactive protein (CRP) level was more than 0.5 mg/dL. The number of patients with cachexia was eight (8%) at the first visit and 50 (93%) at the time of death. In the 50 patients, the median and average time of having cachexia was 59 and 95 days, respectively. Thirty-two of the 50 patients (64%) died within three months after the presence of cachexia was confirmed. In this study, the time of having cachexia was so short, then the policy of care should be converted from aggressive into supportive in patients classified as having cachexia. mGPS would be an accurate assessment tool for cachexia and ascertain the end stage of head and neck cancer patients. PMID:27149710

  9. A Population-Based Comparison of Ciren and Nass Cases Using Similarity Scoring

    PubMed Central

    Stitzel, Joel D.; Kilgo, Patrick; Schmotzer, Brian; Gabler, H. Clay; Meredith, J. Wayne

    2007-01-01

    The Crash Injury Research and Engineering Network (CIREN) provides significant details on injuries, and data on patient outcomes that is unavailable in the National Automotive Sampling System (NASS). However, CIREN cases are selected from specific Level I trauma centers with different inclusion criteria than those used for NASS, and the assertion that a given case is similar to the population of NASS cases is often made qualitatively. A robust, quantitative method is needed to compare CIREN to weighted NASS populations. This would greatly improve the usefulness and applicability of research conducted with data from the CIREN database. Our objective is to outline and demonstrate the utility of such a system to compare CIREN and NASS cases. This study applies the Mahalanobis distance metric methodology to determine similarity between CIREN and NASS/CDS cases. The Mahalanobis distance method is a multivariate technique for population comparison. Independent variables considered were total delta V, age, weight, height, maximum AIS, ISS, model year, gender, maximum intrusion, number of lower and upper extremity injuries, and number of head and chest injuries. The technique provides a unit-independent quantitative score which can be used to identify similarity of CIREN and NASS cases. Weighted NASS data and CIREN data were obtained for the years 2001–2005. NASS cases with Maximum AIS 3 resulted in a subset of 1,869 NASS cases, and 2,819 CIREN cases. PMID:18184504

  10. A new approach for automatic sleep scoring: Combining Taguchi based complex-valued neural network and complex wavelet transform.

    PubMed

    Peker, Musa

    2016-06-01

    Automatic classification of sleep stages is one of the most important methods used for diagnostic procedures in psychiatry and neurology. This method, which has been developed by sleep specialists, is a time-consuming and difficult process. Generally, electroencephalogram (EEG) signals are used in sleep scoring. In this study, a new complex classifier-based approach is presented for automatic sleep scoring using EEG signals. In this context, complex-valued methods were utilized in the feature selection and classification stages. In the feature selection stage, features of EEG data were extracted with the help of a dual tree complex wavelet transform (DTCWT). In the next phase, five statistical features were obtained. These features are classified using complex-valued neural network (CVANN) algorithm. The Taguchi method was used in order to determine the effective parameter values in this CVANN. The aim was to develop a stable model involving parameter optimization. Different statistical parameters were utilized in the evaluation phase. Also, results were obtained in terms of two different sleep standards. In the study in which a 2nd level DTCWT and CVANN hybrid model was used, 93.84% accuracy rate was obtained according to the Rechtschaffen & Kales (R&K) standard, while a 95.42% accuracy rate was obtained according to the American Academy of Sleep Medicine (AASM) standard. Complex-valued classifiers were found to be promising in terms of the automatic sleep scoring and EEG data. PMID:26787511

  11. Screening and Scoring of Antimicrobial and Biological Activities of Italian Vulnerary Plants against Major Oral Pathogenic Bacteria

    PubMed Central

    Ferrazzano, Gianmaria F.; Roberto, Lia; Catania, Maria Rosaria; Chiaviello, Angela; De Natale, Antonino; Roscetto, Emanuela; Pinto, Gabriele; Pollio, Antonino; Ingenito, Aniello; Palumbo, Giuseppe

    2013-01-01

    This study aims to evaluate the activity of Italian vulnerary plants against the most important oral pathogenic bacteria. This estimate was accomplished through a fivefold process: (a) a review of ethnobotanical and microbiological data concerning the Italian vulnerary plants; (b) the development of a scoring system to rank the plants; (c) the comparative assessment of microbiological properties; (d) the assessment of potential cytotoxic effects on keratinocyte-like cells and gingival fibroblasts in culture by XTT cell viability assay; (e) clinical evaluation of the most suitable plant extract as antibacterial agent in a home-made mouthwash. The study assays hexane (H), ethanol (E), and water (W) extracts from 72 plants. The agar diffusion method was used to evaluate the activity against Streptococcus mutans, Streptococcus sobrinus, Lactobacillus casei, and Actinomyces viscosus. Twenty-two plants showed appreciable activity. The extracts showing the strongest antibacterial power were those from Cotinus coggygria Scop., Equisetum hyemale L., Helichrysum litoreum Guss, Juniperus communis L., and Phyllitis scolopendrium (L.) Newman subsp. scolopendrium. The potential cytotoxic effect of these extracts was assessed. On the basis of these observations, a mouth-rinse containing the ethanolic extract of H. litoreum has been tested in vivo, resulting in reduction of the salivary concentration of S. mutans. PMID:24302963

  12. Screening and Scoring of Antimicrobial and Biological Activities of Italian Vulnerary Plants against Major Oral Pathogenic Bacteria.

    PubMed

    Ferrazzano, Gianmaria F; Roberto, Lia; Catania, Maria Rosaria; Chiaviello, Angela; De Natale, Antonino; Roscetto, Emanuela; Pinto, Gabriele; Pollio, Antonino; Ingenito, Aniello; Palumbo, Giuseppe

    2013-01-01

    This study aims to evaluate the activity of Italian vulnerary plants against the most important oral pathogenic bacteria. This estimate was accomplished through a fivefold process: (a) a review of ethnobotanical and microbiological data concerning the Italian vulnerary plants; (b) the development of a scoring system to rank the plants; (c) the comparative assessment of microbiological properties; (d) the assessment of potential cytotoxic effects on keratinocyte-like cells and gingival fibroblasts in culture by XTT cell viability assay; (e) clinical evaluation of the most suitable plant extract as antibacterial agent in a home-made mouthwash. The study assays hexane (H), ethanol (E), and water (W) extracts from 72 plants. The agar diffusion method was used to evaluate the activity against Streptococcus mutans, Streptococcus sobrinus, Lactobacillus casei, and Actinomyces viscosus. Twenty-two plants showed appreciable activity. The extracts showing the strongest antibacterial power were those from Cotinus coggygria Scop., Equisetum hyemale L., Helichrysum litoreum Guss, Juniperus communis L., and Phyllitis scolopendrium (L.) Newman subsp. scolopendrium. The potential cytotoxic effect of these extracts was assessed. On the basis of these observations, a mouth-rinse containing the ethanolic extract of H. litoreum has been tested in vivo, resulting in reduction of the salivary concentration of S. mutans. PMID:24302963

  13. Psychometric Properties of Scores from the Web-based LibQUAL+ Study of Perceptions of Library Service Quality.

    ERIC Educational Resources Information Center

    Cook, Colleen; Thompson, Bruce

    2001-01-01

    Investigated the psychometric integrity of scores from the LibQUAL+ evaluation of perceived library service quality conducted by ARL (Association of Research Libraries). Examines score structure, score reliability, score correlation and concurrent validity coefficients, scale means, and scale standardized norms, and considers the potential of the…

  14. Impact on house staff evaluation scores when changing from a Dreyfus- to a Milestone-based evaluation model: one internal medicine residency program's findings

    PubMed Central

    Friedman, Karen A.; Balwan, Sandy; Cacace, Frank; Katona, Kyle; Sunday, Suzanne; Chaudhry, Saima

    2014-01-01

    Purpose As graduate medical education (GME) moves into the Next Accreditation System (NAS), programs must take a critical look at their current models of evaluation and assess how well they align with reporting outcomes. Our objective was to assess the impact on house staff evaluation scores when transitioning from a Dreyfus-based model of evaluation to a Milestone-based model of evaluation. Milestones are a key component of the NAS. Method We analyzed all end of rotation evaluations of house staff completed by faculty for academic years 2010–2011 (pre-Dreyfus model) and 2011–2012 (post-Milestone model) in one large university-based internal medicine residency training program. Main measures included change in PGY-level average score; slope, range, and separation of average scores across all six Accreditation Council for Graduate Medical Education (ACGME) competencies. Results Transitioning from a Dreyfus-based model to a Milestone-based model resulted in a larger separation in the scores between our three post-graduate year classes, a steeper progression of scores in the PGY-1 class, a wider use of the 5-point scale on our global end of rotation evaluation form, and a downward shift in the PGY-1 scores and an upward shift in the PGY-3 scores. Conclusions For faculty trained in both models of assessment, the Milestone-based model had greater discriminatory ability as evidenced by the larger separation in the scores for all the classes, in particular the PGY-1 class. PMID:25425408

  15. Species Identification in Malaise Trap Samples by DNA Barcoding Based on NGS Technologies and a Scoring Matrix

    PubMed Central

    Morinière, Jérôme; Cancian de Araujo, Bruno; Hausmann, Axel; Balke, Michael; Hendrich, Lars; Doczkal, Dieter; Arvidsson, Samuel; Haszprunar, Gerhard

    2016-01-01

    The German Barcoding initiatives BFB and GBOL have generated a reference library of more than 16,000 metazoan species, which is now ready for applications concerning next generation molecular biodiversity assessments. To streamline the barcoding process, we have developed a meta-barcoding pipeline: We pre-sorted a single malaise trap sample (obtained during one week in August 2014, southern Germany) into 12 arthropod orders and extracted DNA from pooled individuals of each order separately, in order to facilitate DNA extraction and avoid time consuming single specimen selection. Aliquots of each ordinal-level DNA extract were combined to roughly simulate a DNA extract from a non-sorted malaise sample. Each DNA extract was amplified using four primer sets targeting the CO1-5’ fragment. The resulting PCR products (150-400bp) were sequenced separately on an Illumina Mi-SEQ platform, resulting in 1.5 million sequences and 5,500 clusters (coverage ≥10; CD-HIT-EST, 98%). Using a total of 120,000 DNA barcodes of identified, Central European Hymenoptera, Coleoptera, Diptera, and Lepidoptera downloaded from BOLD we established a reference sequence database for a local CUSTOM BLAST. This allowed us to identify 529 Barcode Index Numbers (BINs) from our sequence clusters derived from pooled Malaise trap samples. We introduce a scoring matrix based on the sequence match percentages of each amplicon in order to gain plausibility for each detected BIN, leading to 390 high score BINs in the sorted samples; whereas 268 of these high score BINs (69%) could be identified in the combined sample. The results indicate that a time consuming presorting process will yield approximately 30% more high score BINs compared to the non-sorted sample in our case. These promising results indicate that a fast, efficient and reliable analysis of next generation data from malaise trap samples can be achieved using this pipeline. PMID:27191722

  16. A Propensity Score Matching Study of Participation in Community Activities: A Path to Positive Outcomes for Youth in New Zealand?

    ERIC Educational Resources Information Center

    O'Connor, Seini; Jose, Paul E.

    2012-01-01

    Extracurricular activities are important in many young people's lives and have been associated with positive academic, psychological, and social outcomes. However, most previous research has been limited to school-based activities in the North American context. This study expands existing literature by analyzing longitudinal data from more than…

  17. A scoring system based on artificial neural network for predicting 10-year survival in stage II A colon cancer patients after radical surgery

    PubMed Central

    Jiang, Wu; Lu, Shi-Xun; Lu, Zhen-Hai; Li, Pei-Xing; Yun, Jing-Ping; Zhang, Rong-Xin; Pan, Zhi-Zhong; Wan, De-Sen

    2016-01-01

    Nearly 20% patients with stage II A colon cancer will develop recurrent disease post-operatively. The present study aims to develop a scoring system based on Artificial Neural Network (ANN) model for predicting 10-year survival outcome. The clinical and molecular data of 117 stage II A colon cancer patients from Sun Yat-sen University Cancer Center were used for training set and test set; poor pathological grading (score 49), reduced expression of TGFBR2 (score 33), over-expression of TGF-β (score 45), MAPK (score 32), pin1 (score 100), β-catenin in tumor tissue (score 50) and reduced expression of TGF-β in normal mucosa (score 22) were selected as the prognostic risk predictors. According to the developed scoring system, the patients were divided into 3 subgroups, which were supposed with higher, moderate and lower risk levels. As a result, for the 3 subgroups, the 10-year overall survival (OS) rates were 16.7%, 62.9% and 100% (P < 0.001); and the 10-year disease free survival (DFS) rates were 16.7%, 61.8% and 98.8% (P < 0.001) respectively. It showed that this scoring system for stage II A colon cancer could help to predict long-term survival and screen out high-risk individuals for more vigorous treatment. PMID:27008710

  18. Methodological Quality Appraisal of 27 Korean Guidelines Using a Scoring Guide Based on the AGREE II Instrument and a Web-based Evaluation

    PubMed Central

    2016-01-01

    This study evaluated the methodological quality of CPGs using the Korean AGREE II scoring guide and a web-based appraisal system and was conducted by qualified appraisers. A total of 27 Korean CPGs were assessed under 6 domains and 23 items on the AGREE II instrument using the Korean scoring guide. The domain scores of the 27 guidelines were as following: the mean domain score was 82.7% (median 84.7%, ranging from 55.6% to 97.2%) for domain 1 (scope and purpose); 53.4% (median 56.9%, ranging from 11.1% to 95.8%) for domain 2 (stakeholder involvement); 63.0% (median 71.4%, ranging from 13.5% to 90.6%) for domain 3 (rigor of development); 88.9% (median 91.7%, ranging from 58.3% to 100.0%) for domain 4 (clarity of presentation); 30.1% (median 27.1%, ranging from 3.1% to 67.7%) for domain 5 (applicability); and 50.2% (median 58.3%, ranging from 0.0% to 93.8%) for domain 6 (editorial independence). Three domains including scope and purpose, rigor of development, and clarity of presentation were rated at more than 60% of the scaled domain score. Three domains including stakeholder involvement, applicability, and editorial independence were rated at less than 60% of the scaled domain score. Finally, of the 27 guidelines, 18 (66.7%) were rated at more than 60% of the scaled domain score for rigor of development and were categorized as high-quality guidelines. PMID:27134487

  19. Methodological Quality Appraisal of 27 Korean Guidelines Using a Scoring Guide Based on the AGREE II Instrument and a Web-based Evaluation.

    PubMed

    Chang, Sung-Goo; Kim, Dong-Ik; Shin, Ein-Soon; Jang, Ji-Eun; Yeon, Ji-Yun; Lee, Yoon-Seong

    2016-05-01

    This study evaluated the methodological quality of CPGs using the Korean AGREE II scoring guide and a web-based appraisal system and was conducted by qualified appraisers. A total of 27 Korean CPGs were assessed under 6 domains and 23 items on the AGREE II instrument using the Korean scoring guide. The domain scores of the 27 guidelines were as following: the mean domain score was 82.7% (median 84.7%, ranging from 55.6% to 97.2%) for domain 1 (scope and purpose); 53.4% (median 56.9%, ranging from 11.1% to 95.8%) for domain 2 (stakeholder involvement); 63.0% (median 71.4%, ranging from 13.5% to 90.6%) for domain 3 (rigor of development); 88.9% (median 91.7%, ranging from 58.3% to 100.0%) for domain 4 (clarity of presentation); 30.1% (median 27.1%, ranging from 3.1% to 67.7%) for domain 5 (applicability); and 50.2% (median 58.3%, ranging from 0.0% to 93.8%) for domain 6 (editorial independence). Three domains including scope and purpose, rigor of development, and clarity of presentation were rated at more than 60% of the scaled domain score. Three domains including stakeholder involvement, applicability, and editorial independence were rated at less than 60% of the scaled domain score. Finally, of the 27 guidelines, 18 (66.7%) were rated at more than 60% of the scaled domain score for rigor of development and were categorized as high-quality guidelines. PMID:27134487

  20. Capturing, Codifying and Scoring Complex Data for Innovative, Computer-Based Items.

    ERIC Educational Resources Information Center

    Luecht, Richard M.

    The Microsoft Certification Program (MCP) includes many new computer-based item types, based on complex cases involving the Windows 2000 (registered) operating system. This Innovative Item Technology (IIT) has presented challenges beyond traditional psychometric considerations such as capturing and storing the relevant response data from…

  1. Meaning-Based Scoring: A Systemic Functional Linguistics Model for Automated Test Tasks

    ERIC Educational Resources Information Center

    Gleason, Jesse

    2014-01-01

    Communicative approaches to language teaching that emphasize the importance of speaking (e.g., task-based language teaching) require innovative and evidence-based means of assessing oral language. Nonetheless, research has yet to produce an adequate assessment model for oral language (Chun 2006; Downey et al. 2008). Limited by automatic speech…

  2. Integrating Authentic Assessment with Competence-Based Learning in Vocational Education: The Protocol Portfolio Scoring

    ERIC Educational Resources Information Center

    Sluijsmans, Dominique M. A.; Straetmans, Gerard J. J. M.; van Merrienboer, Jeroen J. G.

    2008-01-01

    This article describes how competence-based learning (CBL) can be organised in vocational education by integrating elements from a holistic instructional design model with recent ideas on assessment. A curriculum based on this model is pre-eminently suitable for an assessment approach emphasising that proof of competence is gathered by having…

  3. Estimating Classification Accuracy for Complex Decision Rules Based on Multiple Scores

    ERIC Educational Resources Information Center

    Douglas, Karen M.; Mislevy, Robert J.

    2010-01-01

    Important decisions about students are made by combining multiple measures using complex decision rules. Although methods for characterizing the accuracy of decisions based on a single measure have been suggested by numerous researchers, such methods are not useful for estimating the accuracy of decisions based on multiple measures. This study…

  4. Reproducibility of the NEPTUNE descriptor-based scoring system on whole-slide images and histologic and ultrastructural digital images.

    PubMed

    Barisoni, Laura; Troost, Jonathan P; Nast, Cynthia; Bagnasco, Serena; Avila-Casado, Carmen; Hodgin, Jeffrey; Palmer, Matthew; Rosenberg, Avi; Gasim, Adil; Liensziewski, Chrysta; Merlino, Lino; Chien, Hui-Ping; Chang, Anthony; Meehan, Shane M; Gaut, Joseph; Song, Peter; Holzman, Lawrence; Gibson, Debbie; Kretzler, Matthias; Gillespie, Brenda W; Hewitt, Stephen M

    2016-07-01

    The multicenter Nephrotic Syndrome Study Network (NEPTUNE) digital pathology scoring system employs a novel and comprehensive methodology to document pathologic features from whole-slide images, immunofluorescence and ultrastructural digital images. To estimate inter- and intra-reader concordance of this descriptor-based approach, data from 12 pathologists (eight NEPTUNE and four non-NEPTUNE) with experience from training to 30 years were collected. A descriptor reference manual was generated and a webinar-based protocol for consensus/cross-training implemented. Intra-reader concordance for 51 glomerular descriptors was evaluated on jpeg images by seven NEPTUNE pathologists scoring 131 glomeruli three times (Tests I, II, and III), each test following a consensus webinar review. Inter-reader concordance of glomerular descriptors was evaluated in 315 glomeruli by all pathologists; interstitial fibrosis and tubular atrophy (244 cases, whole-slide images) and four ultrastructural podocyte descriptors (178 cases, jpeg images) were evaluated once by six and five pathologists, respectively. Cohen's kappa for inter-reader concordance for 48/51 glomerular descriptors with sufficient observations was moderate (0.40based on similar pathologic features improved concordance. Concordance was independent of years of experience, and increased with webinar cross-training. Excellent concordance was achieved for interstitial fibrosis and tubular atrophy. Moderate-to-excellent concordance was achieved for all ultrastructural podocyte descriptors, with good-to-excellent concordance for descriptors commonly used in clinical practice, foot process effacement, and microvillous transformation. NEPTUNE digital pathology scoring system enables novel morphologic profiling of renal structures. For all histologic and ultrastructural descriptors tested with

  5. Impact of Inadequate Empirical Therapy on the Mortality of Patients with Bloodstream Infections: a Propensity Score-Based Analysis

    PubMed Central

    Retamar, Pilar; Portillo, María M.; López-Prieto, María Dolores; Rodríguez-López, Fernando; de Cueto, Marina; García, María V.; Gómez, María J.; del Arco, Alfonso; Muñoz, Angel; Sánchez-Porto, Antonio; Torres-Tortosa, Manuel; Martín-Aspas, Andrés; Arroyo, Ascensión; García-Figueras, Carolina; Acosta, Federico; Corzo, Juan E.; León-Ruiz, Laura; Escobar-Lara, Trinidad

    2012-01-01

    The impact of the adequacy of empirical therapy on outcome for patients with bloodstream infections (BSI) is key for determining whether adequate empirical coverage should be prioritized over other, more conservative approaches. Recent systematic reviews outlined the need for new studies in the field, using improved methodologies. We assessed the impact of inadequate empirical treatment on the mortality of patients with BSI in the present-day context, incorporating recent methodological recommendations. A prospective multicenter cohort including all BSI episodes in adult patients was performed in 15 hospitals in Andalucía, Spain, over a 2-month period in 2006 to 2007. The main outcome variables were 14- and 30-day mortality. Adjusted analyses were performed by multivariate analysis and propensity score-based matching. Eight hundred one episodes were included. Inadequate empirical therapy was administered in 199 (24.8%) episodes; mortality at days 14 and 30 was 18.55% and 22.6%, respectively. After controlling for age, Charlson index, Pitt score, neutropenia, source, etiology, and presentation with severe sepsis or shock, inadequate empirical treatment was associated with increased mortality at days 14 and 30 (odds ratios [ORs], 2.12 and 1.56; 95% confidence intervals [95% CI], 1.34 to 3.34 and 1.01 to 2.40, respectively). The adjusted ORs after a propensity score-based matched analysis were 3.03 and 1.70 (95% CI, 1.60 to 5.74 and 0.98 to 2.98, respectively). In conclusion, inadequate empirical therapy is independently associated with increased mortality in patients with BSI. Programs to improve the quality of empirical therapy in patients with suspicion of BSI and optimization of definitive therapy should be implemented. PMID:22005999

  6. Development of a Korean Diet Score (KDS) and its application assessing adherence to Korean healthy diet based on the Korean Food Guide Wheels.

    PubMed

    Lee, Myoungsook; Chae, Soo Wan; Cha, Youn-Soo; Cho, Mi Sook; Oh, Hea Young; Kim, Mi Kyung

    2013-02-01

    The most critical point in the assessment of adherence to dietary guidelines is the development of a practical definition for adherence, such as a dietary pattern score. The purpose of this study was to develop the Korean Diet Score (KDS) based on the Korean Food Balance Wheel and to examine the association of KDS with various lifestyle characteristics and biochemical factors. The dietary data of 5,320 subjects from the 4th Korean National Health and Nutritional Examination Survey were used for the final analysis. The food guide was composed of six food group categories; 'grain dishes', 'fish and meat dishes', 'vegetable dishes', 'fruits', 'milk' and 'oils and sugars'. Based on the recommended serving numbers for each group, the scores measuring adherence to this food guide were calculated from the dietary information from the 24-hour dietary recall questionnaire, and then its correlation with various characteristics was assessed. KDS was significantly associated with several clinical, lifestyle and socioeconomic factors as well as diagnosed disease history. The higher quintile group of KDS showed a significantly lower level in fasting blood glucose, systolic blood pressure, triglycerides, current smoking and drinking as well as higher leisure time activity, house income and education. Furthermore, the KDS quintile group of women was inversely associated with hypertension, osteoporosis and diabetes. A higher KDS quintile was characterized with a higher intake of several critical nutrients, such as Ca, Fe and vitamins as well as a desirable nutrition balance such as the ratio of macronutrients. Our results demonstrate that KDS is a beneficial tool in assessing the adherence to a healthy diet based on the Korean dietary guidelines. We suggest that KDS could be a useful indicator for evaluating the dietary balance of the Korean population. PMID:23424060

  7. Young Zanzibari Children with Iron Deficiency, Iron Deficiency Anemia, Stunting, or Malaria Have Lower Motor Activity Scores and Spend Less Time in Locomotion

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Motor activity improves cognitive and social-emotional development through a child’s exploration of his or her physical and social environment. This study assessed anemia, iron deficiency, hemoglobin (Hb), length-for-age Z-score (LAZ), and malaria infection as predictors of motor activity in 771 chi...

  8. A Network-Based Target Overlap Score for Characterizing Drug Combinations: High Correlation with Cancer Clinical Trial Results

    PubMed Central

    Ligeti, Balázs; Pénzváltó, Zsófia; Vera, Roberto; Győrffy, Balázs; Pongor, Sándor

    2015-01-01

    Drug combinations are highly efficient in systemic treatment of complex multigene diseases such as cancer, diabetes, arthritis and hypertension. Most currently used combinations were found in empirical ways, which limits the speed of discovery for new and more effective combinations. Therefore, there is a substantial need for efficient and fast computational methods. Here, we present a principle that is based on the assumption that perturbations generated by multiple pharmaceutical agents propagate through an interaction network and can cause unexpected amplification at targets not immediately affected by the original drugs. In order to capture this phenomenon, we introduce a novel Target Overlap Score (TOS) that is defined for two pharmaceutical agents as the number of jointly perturbed targets divided by the number of all targets potentially affected by the two agents. We show that this measure is correlated with the known effects of beneficial and deleterious drug combinations taken from the DCDB, TTD and Drugs.com databases. We demonstrate the utility of TOS by correlating the score to the outcome of recent clinical trials evaluating trastuzumab, an effective anticancer agent utilized in combination with anthracycline- and taxane- based systemic chemotherapy in HER2-receptor (erb-b2 receptor tyrosine kinase 2) positive breast cancer. PMID:26047322

  9. Grading as a Reform Effort: Do Standards-Based Grades Converge with Test Scores?

    ERIC Educational Resources Information Center

    Welsh, Megan E.; D'Agostino, Jerome V.; Kaniskan, Burcu

    2013-01-01

    Standards-based progress reports (SBPRs) require teachers to grade students using the performance levels reported by state tests and are an increasingly popular report card format. They may help to increase teacher familiarity with state standards, encourage teachers to exclude nonacademic factors from grades, and/or improve communication with…

  10. Inquiry-Based Instruction in Geometry: The Impact on End of Course Geometry Test Scores

    ERIC Educational Resources Information Center

    Lewis, Betty

    2009-01-01

    Research examining instruction in geometry and standardized tests suggests that students have difficulty grasping geometry concepts and developing problem solving skills. The purpose of this study was to examine the relationship between the use of inquiry-based strategies in a geometry class and achievement on the end of course test (EOCT) and to…

  11. The Effects of Judgment-Based Stratum Classifications on the Efficiency of Stratum Scored CATs.

    ERIC Educational Resources Information Center

    Finney, Sara J.; Smith, Russell W.; Wise, Steven L.

    Two operational item pools were used to investigate the performance of stratum computerized adaptive tests (CATs) when items were assigned to strata based on empirical estimates of item difficulty or human judgments of item difficulty. Items from the first data set consisted of 54 5-option multiple choice items from a form of the ACT mathematics…

  12. Gender Differences in Mathematics Achievement and Retention Scores: A Case of Problem-Based Learning Method

    ERIC Educational Resources Information Center

    Ajai, John T.; Imoko, Benjamin I.

    2015-01-01

    This study was undertaken to assess gender differences in mathematics achievement and retention by using Problem-Based Learning (PBL). The design of the study was pre-posttest quasi-experimental. Four hundred and twenty eight senior secondary one (SS I) students using multistage sampling from ten grant-aided and government schools were involved in…

  13. Evidence-Based Standard Setting: Establishing a Validity Framework for Cut Scores

    ERIC Educational Resources Information Center

    McClarty, Katie Larsen; Way, Walter D.; Porter, Andrew C.; Beimers, Jennifer N.; Miles, Julie A.

    2013-01-01

    Performance standards are a powerful way to communicate K-12 student achievement (e.g., proficiency) and are the cornerstone of standards-based reform. As education reform shifts the focus to college and career readiness, approaches for setting performance standards need to be revised. We argue that the focus on assessing student readiness can…

  14. Pre-Service Teachers' Constructivist Teaching Scores Based on Their Learning Styles

    ERIC Educational Resources Information Center

    Kablan, Zeynel; Kaya, Sibel

    2014-01-01

    This study examined the relationship between pre-service teachers' constructivist teaching and their learning styles based on Kolb's Experiential Learning Theory. The Learning Styles Inventory-3 was administered at the beginning of the semester to determine preferred learning style. The Constructivist Teaching Evaluation Form was filled…

  15. Grounding the Argument-Based Framework for Validating Score Interpretations and Uses

    ERIC Educational Resources Information Center

    Oller, John W., Jr.

    2012-01-01

    Kane's argument-based framework is summarized and examined. He implicitly appeals to the backgrounded concepts of fairness and justice. From there it is a short distance to grounding the whole system in the mundane notion of truth. In fact, valid argument systems must depend on representations that are "true" by virtue of agreement with purported…

  16. Risk-based priority scoring for Brookhaven National Laboratory environmental restoration programs

    SciTech Connect

    Morris, S.C.; Meinhold, A.F.

    1995-05-01

    This report describes the process of estimating the risk associated with environmental restoration programs under the Brookhaven National Laboratory Office of Environmental Restoration. The process was part of an effort across all Department of Energy facilities to provide a consistent framework to communicate risk information about the facilities to senior managers in the DOE Office of Environmental Management to foster understanding of risk activities across programs. the risk evaluation was a qualitative exercise. Categories considered included: Public health and safety; site personnel safety and health; compliance; mission impact; cost-effective risk management; environmental protection; inherent worker risk; environmental effects of clean-up; and social, cultural, political, and economic impacts.

  17. Target-specific support vector machine scoring in structure-based virtual screening: computational validation, in vitro testing in kinases, and effects on lung cancer cell proliferation.

    PubMed

    Li, Liwei; Khanna, May; Jo, Inha; Wang, Fang; Ashpole, Nicole M; Hudmon, Andy; Meroueh, Samy O

    2011-04-25

    We assess the performance of our previously reported structure-based support vector machine target-specific scoring function across 41 targets, 40 among them from the Directory of Useful Decoys (DUD). The area under the curve of receiver operating characteristic plots (ROC-AUC) revealed that scoring with SVM-SP resulted in consistently better enrichment over all target families, outperforming Glide and other scoring functions, most notably among kinases. In addition, SVM-SP performance showed little variation among protein classes, exhibited excellent performance in a test case using a homology model, and in some cases showed high enrichment even with few structures used to train a model. We put SVM-SP to the test by virtual screening 1125 compounds against two kinases, EGFR and CaMKII. Among the top 25 EGFR compounds, three compounds (1-3) inhibited kinase activity in vitro with IC₅₀ of 58, 2, and 10 μM. In cell cultures, compounds 1-3 inhibited nonsmall cell lung carcinoma (H1299) cancer cell proliferation with similar IC₅₀ values for compound 3. For CaMKII, one compound inhibited kinase activity in a dose-dependent manner among 20 tested with an IC₅₀ of 48 μM. These results are encouraging given that our in-house library consists of compounds that emerged from virtual screening of other targets with pockets that are different from typical ATP binding sites found in kinases. In light of the importance of kinases in chemical biology, these findings could have implications in future efforts to identify chemical probes of kinases within the human kinome. PMID:21438548

  18. KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials

    PubMed Central

    2010-01-01

    Background Identification of novel drug targets and their inhibitors is a major challenge in the field of drug designing and development. Diaminopimelic acid (DAP) pathway is a unique lysine biosynthetic pathway present in bacteria, however absent in mammals. This pathway is vital for bacteria due to its critical role in cell wall biosynthesis. One of the essential enzymes of this pathway is dihydrodipicolinate synthase (DHDPS), considered to be crucial for the bacterial survival. In view of its importance, the development and prediction of potent inhibitors against DHDPS may be valuable to design effective drugs against bacteria, in general. Results This paper describes a methodology for predicting novel/potent inhibitors against DHDPS. Here, quantitative structure activity relationship (QSAR) models were trained and tested on experimentally verified 23 enzyme's inhibitors having inhibitory value (Ki) in the range of 0.005-22(mM). These inhibitors were docked at the active site of DHDPS (1YXD) using AutoDock software, which resulted in 11 energy-based descriptors. For QSAR modeling, Multiple Linear Regression (MLR) model was engendered using best four energy-based descriptors yielding correlation values R/q2 of 0.82/0.67 and MAE of 2.43. Additionally, Support Vector Machine (SVM) based model was developed with three crucial descriptors selected using F-stepping remove-one approach, which enhanced the performance by attaining R/q2 values of 0.93/0.80 and MAE of 1.89. To validate the performance of QSAR models, external cross-validation procedure was adopted which accomplished high training/testing correlation values (q2/r2) in the range of 0.78-0.83/0.93-0.95. Conclusions Our results suggests that ligand-receptor binding interactions for DHDPS employing QSAR modeling seems to be a promising approach for prediction of antibacterial agents. To serve the experimentalist to develop novel/potent inhibitors, a webserver "KiDoQ" has been developed http

  19. Perception and Practice: The Impact of Teachers' Scoring Experience on Performance-Based Instruction and Classroom Assessment.

    ERIC Educational Resources Information Center

    Goldberg, Gail Lynn; Roswell, Barbara Sherr

    Teachers' reactions to the administration and scoring of the Maryland School Performance Assessment Program tests (MSPAP) were studied, focusing on their direct and indirect exposure to tasks and evaluative criteria through the experience of scoring the MSPAP. Since its inception in 1991, the MSPAP has been scored in-state by certified teachers…

  20. Temporal changes in bias of body mass index scores based on self-reported height and weight

    PubMed Central

    Stommel, M; Osier, N

    2013-01-01

    Objectives: To investigate temporal changes in the bias associated with self-reported (as opposed to measured) body mass index (BMI) and explore the relationship of such bias to changing social attitudes towards obesity. Methods: Using data from the National Health and Nutrition Examination Survey covering two time periods, 1988–1994 and 2005–2008, discrepancy scores between self-reported vs measured BMI were generated. Changes in the sensitivity of BMI categories based on self-reports were examined for six weight groups, both for the US adult population as a whole and major demographic groups. Linear regression models were used to examine temporal changes in average bias, as well as attitudes about weight within each weight category and by demographic group. Results: Between 2005–2008 and 1988–1994, the bias towards underestimation of a person's BMI based on interview responses has declined among obese individuals, a trend evident in virtually all demographic subgroups explored. Conversely, most demographic groups showed little change in the extent of bias among underweight and normal-weight individuals. Although the 2005–2008 survey respondents underestimated their measured BMI more than the 1988–1994 respondents, this shift can be entirely explained by the increased prevalence of obesity in more recent years. In fact, obese individuals in 2005–2008 were less likely to overreport their height and underreport their weight than their counterparts in the 1988–1994. Evidence from responses to questions about ideal weight and desire to lose weight point in the direction of a shift in social attitudes, which may make it easier to ‘admit' to greater weight in surveys. Conclusion: Over the past 20 years, the bias in self-reported height and weight has declined leading to more accurate BMI categorizations based on self-report. This change is likely to affect efforts to find correction factors to adjust BMI scores based on self-reported height and weight

  1. Iterative Knowledge-Based Scoring Functions Derived from Rigid and Flexible Decoy Structures: Evaluation with the 2013 and 2014 CSAR Benchmarks.

    PubMed

    Yan, Chengfei; Grinter, Sam Z; Merideth, Benjamin Ryan; Ma, Zhiwei; Zou, Xiaoqin

    2016-06-27

    In this study, we developed two iterative knowledge-based scoring functions, ITScore_pdbbind(rigid) and ITScore_pdbbind(flex), using rigid decoy structures and flexible decoy structures, respectively, that were generated from the protein-ligand complexes in the refined set of PDBbind 2012. These two scoring functions were evaluated using the 2013 and 2014 CSAR benchmarks. The results were compared with the results of two other scoring functions, the Vina scoring function and ITScore, the scoring function that we previously developed from rigid decoy structures for a smaller set of protein-ligand complexes. A graph-based method was developed to evaluate the root-mean-square deviation between two conformations of the same ligand with different atom names and orders due to different file preparations, and the program is freely available. Our study showed that the two new scoring functions developed from the larger training set yielded significantly improved performance in binding mode predictions. For binding affinity predictions, all four scoring functions showed protein-dependent performance. We suggest the development of protein-family-dependent scoring functions for accurate binding affinity prediction. PMID:26389744

  2. Development of a Food Group-Based Diet Score and Its Association with Bone Mineral Density in the Elderly: The Rotterdam Study

    PubMed Central

    de Jonge, Ester A. L.; Kiefte-de Jong, Jessica C.; de Groot, Lisette C. P. G. M.; Voortman, Trudy; Schoufour, Josje D.; Zillikens, M. Carola; Hofman, Albert; Uitterlinden, André G.; Franco, Oscar H.; Rivadeneira, Fernando

    2015-01-01

    No diet score exists that summarizes the features of a diet that is optimal for bone mineral density (BMD) in the elderly. Our aims were (a) to develop a BMD-Diet Score reflecting a diet that may be beneficial for BMD based on the existing literature, and (b) to examine the association of the BMD-Diet Score and the Healthy Diet Indicator, a score based on guidelines of the World Health Organization, with BMD in Dutch elderly participating in a prospective cohort study, the Rotterdam Study (n = 5144). Baseline dietary intake, assessed using a food frequency questionnaire, was categorized into food groups. Food groups that were consistently associated with BMD in the literature were included in the BMD-Diet Score. BMD was measured repeatedly and was assessed using dual energy X-ray absorptiometry. The BMD-Diet Score considered intake of vegetables, fruits, fish, whole grains, legumes/beans and dairy products as “high-BMD” components and meat and confectionary as “low-BMD” components. After adjustment, the BMD-Diet Score was positively associated with BMD (β (95% confidence interval) = 0.009 (0.005, 0.012) g/cm2 per standard deviation). This effect size was approximately three times as large as has been observed for the Healthy Diet Indicator. The food groups included in our BMD-Diet Score could be considered in the development of future dietary guidelines for healthy ageing. PMID:26295256

  3. Development of a Food Group-Based Diet Score and Its Association with Bone Mineral Density in the Elderly: The Rotterdam Study.

    PubMed

    de Jonge, Ester A L; Kiefte-de Jong, Jessica C; de Groot, Lisette C P G M; Voortman, Trudy; Schoufour, Josje D; Zillikens, M Carola; Hofman, Albert; Uitterlinden, André G; Franco, Oscar H; Rivadeneira, Fernando

    2015-08-01

    No diet score exists that summarizes the features of a diet that is optimal for bone mineral density (BMD) in the elderly. Our aims were (a) to develop a BMD-Diet Score reflecting a diet that may be beneficial for BMD based on the existing literature, and (b) to examine the association of the BMD-Diet Score and the Healthy Diet Indicator, a score based on guidelines of the World Health Organization, with BMD in Dutch elderly participating in a prospective cohort study, the Rotterdam Study (n = 5144). Baseline dietary intake, assessed using a food frequency questionnaire, was categorized into food groups. Food groups that were consistently associated with BMD in the literature were included in the BMD-Diet Score. BMD was measured repeatedly and was assessed using dual energy X-ray absorptiometry. The BMD-Diet Score considered intake of vegetables, fruits, fish, whole grains, legumes/beans and dairy products as "high-BMD" components and meat and confectionary as "low-BMD" components. After adjustment, the BMD-Diet Score was positively associated with BMD (β (95% confidence interval) = 0.009 (0.005, 0.012) g/cm(2) per standard deviation). This effect size was approximately three times as large as has been observed for the Healthy Diet Indicator. The food groups included in our BMD-Diet Score could be considered in the development of future dietary guidelines for healthy ageing. PMID:26295256

  4. A rapid method to score stream reaches based on the overall performance of their main ecological functions.

    PubMed

    Rowe, David K; Parkyn, Stephanie; Quinn, John; Collier, Kevin; Hatton, Chris; Joy, Michael K; Maxted, John; Moore, Stephen

    2009-06-01

    A method was developed to score the ecological condition of first- to third-order stream reaches in the Auckland region of New Zealand based on the performance of their key ecological functions. Such a method is required by consultants and resource managers to quantify the reduction in ecological condition of a modified stream reach relative to its unmodified state. This is a fundamental precursor for the determination of fair environmental compensation for achieving no-net-loss in overall stream ecological value. Field testing and subsequent use of the method indicated that it provides a useful measure of ecological condition related to the performance of stream ecological functions. It is relatively simple to apply compared to a full ecological study, is quick to use, and allows identification of the degree of impairment of each of the key ecological functions. The scoring system was designed so that future improvements in the measurement of stream functions can be incorporated into it. Although the methodology was specifically designed for Auckland streams, the principles can be readily adapted to other regions and stream types. PMID:19434446

  5. Prognostic value of scores based on malnutrition or systemic inflammatory response in patients with metastatic or recurrent gastric cancer.

    PubMed

    Sachlova, Milana; Majek, Ondrej; Tucek, Stepan

    2014-01-01

    Cancer patients are frequently affected by malnutrition and weight loss, which affects their prognosis, length of hospital stay, health care costs, quality of life and survival. Our aim was to assess the prognostic value of different scores based on malnutrition or systemic inflammatory response in 91 metastatic or recurrent gastric cancer patients considered for palliative chemotherapy at the Masaryk Memorial Cancer Institute. We investigated their overall survival according to the following measures: Onodera's Prognostic Nutritional Index (OPNI), Glasgow Prognostic Score (GPS), nutritional risk indicator (NRI), Cancer Cachexia Study Group (CCSG), as previously defined, and a simple preadmission weight loss. The OPNI, GPS, and CCSG provided very significant prognostic values for survival (log-rank test P value < 0.001). For example, the median survival for patients with GPS 0 was 12.3 mo [95% confidence interval (CI): 7.7-16.7], whereas the median survival for patients with GPS 2 was only 2.9 mo (95% CI: 1.9-4.8). A significantly worse survival of malnourished patients was also suggested by a multivariate model. The values of GPS, OPNI, and CCSG represent useful tools for the evaluation of patients' prognosis and should be part of a routine evaluation of patients to provide a timely nutrition support. PMID:25356861

  6. Do estimates of cost-utility based on the EQ-5D differ from those based on the mapping of utility scores?

    PubMed Central

    Barton, Garry R; Sach, Tracey H; Jenkinson, Claire; Avery, Anthony J; Doherty, Michael; Muir, Kenneth R

    2008-01-01

    Background Mapping has been used to convert scores from condition-specific measures into utility scores, and to produce estimates of cost-effectiveness. We sought to compare the QALY gains, and incremental cost per QALY estimates, predicted on the basis of mapping to those based on actual EQ-5D scores. Methods In order to compare 4 different interventions 389 individuals were asked to complete both the EQ-5D and the Western Ontartio and McMaster Universities Osteoarthritis Index (WOMAC) at baseline, 6, 12, and 24 months post-intervention. Using baseline data various mapping models were developed, where WOMAC scores were used to predict the EQ-5D scores. The performance of these models was tested by predicting the EQ-5D post-intervention scores. The preferred model (that with the lowest mean absolute error (MAE)) was used to predict the EQ-5D scores, at all time points, for individuals who had complete WOMAC and EQ-5D data. The mean QALY gain associated with each intervention was calculated, using both actual and predicted EQ-5D scores. These QALY gains, along with previously estimated changes in cost, were also used to estimate the actual and predicted incremental cost per QALY associated with each of the four interventions. Results The EQ-5D and the WOMAC were completed at baseline by 348 individuals, and at all time points by 259 individuals. The MAE in the preferred model was 0.129, and the mean QALY gains for each of the four interventions was predicted to be 0.006, 0.058, 0.058, and 0.136 respectively, compared to the actual mean QALY gains of 0.087, 0.081, 0.120, and 0.149. The most effective intervention was estimated to be associated with an incremental cost per QALY of £6,068, according to our preferred model, compared to £13,154 when actual data was used. Conclusion We found that actual QALY gains, and incremental cost per QALY estimates, differed from those predicted on the basis of mapping. This suggests that though mapping may be of value in

  7. Population-standardized genetic risk score: the SNP-based method of choice for inherited risk assessment of prostate cancer.

    PubMed

    Conran, Carly A; Na, Rong; Chen, Haitao; Jiang, Deke; Lin, Xiaoling; Zheng, S Lilly; Brendler, Charles B; Xu, Jianfeng

    2016-01-01

    Several different approaches are available to clinicians for determining prostate cancer (PCa) risk. The clinical validity of various PCa risk assessment methods utilizing single nucleotide polymorphisms (SNPs) has been established; however, these SNP-based methods have not been compared. The objective of this study was to compare the three most commonly used SNP-based methods for PCa risk assessment. Participants were men (n = 1654) enrolled in a prospective study of PCa development. Genotypes of 59 PCa risk-associated SNPs were available in this cohort. Three methods of calculating SNP-based genetic risk scores (GRSs) were used for the evaluation of individual disease risk such as risk allele count (GRS-RAC), weighted risk allele count (GRS-wRAC), and population-standardized genetic risk score (GRS-PS). Mean GRSs were calculated, and performances were compared using area under the receiver operating characteristic curve (AUC) and positive predictive value (PPV). All SNP-based methods were found to be independently associated with PCa (all P < 0.05; hence their clinical validity). The mean GRSs in men with or without PCa using GRS-RAC were 55.15 and 53.46, respectively, using GRS-wRAC were 7.42 and 6.97, respectively, and using GRS-PS were 1.12 and 0.84, respectively (all P < 0.05 for differences between patients with or without PCa). All three SNP-based methods performed similarly in discriminating PCa from non-PCa based on AUC and in predicting PCa risk based on PPV (all P > 0.05 for comparisons between the three methods), and all three SNP-based methods had a significantly higher AUC than family history (all P < 0.05). Results from this study suggest that while the three most commonly used SNP-based methods performed similarly in discriminating PCa from non-PCa at the population level, GRS-PS is the method of choice for risk assessment at the individual level because its value (where 1.0 represents average population risk) can be easily interpreted regardless

  8. Population-standardized genetic risk score: the SNP-based method of choice for inherited risk assessment of prostate cancer

    PubMed Central

    Conran, Carly A; Na, Rong; Chen, Haitao; Jiang, Deke; Lin, Xiaoling; Zheng, S Lilly; Brendler, Charles B; Xu, Jianfeng

    2016-01-01

    Several different approaches are available to clinicians for determining prostate cancer (PCa) risk. The clinical validity of various PCa risk assessment methods utilizing single nucleotide polymorphisms (SNPs) has been established; however, these SNP-based methods have not been compared. The objective of this study was to compare the three most commonly used SNP-based methods for PCa risk assessment. Participants were men (n = 1654) enrolled in a prospective study of PCa development. Genotypes of 59 PCa risk-associated SNPs were available in this cohort. Three methods of calculating SNP-based genetic risk scores (GRSs) were used for the evaluation of individual disease risk such as risk allele count (GRS-RAC), weighted risk allele count (GRS-wRAC), and population-standardized genetic risk score (GRS-PS). Mean GRSs were calculated, and performances were compared using area under the receiver operating characteristic curve (AUC) and positive predictive value (PPV). All SNP-based methods were found to be independently associated with PCa (all P < 0.05; hence their clinical validity). The mean GRSs in men with or without PCa using GRS-RAC were 55.15 and 53.46, respectively, using GRS-wRAC were 7.42 and 6.97, respectively, and using GRS-PS were 1.12 and 0.84, respectively (all P < 0.05 for differences between patients with or without PCa). All three SNP-based methods performed similarly in discriminating PCa from non-PCa based on AUC and in predicting PCa risk based on PPV (all P > 0.05 for comparisons between the three methods), and all three SNP-based methods had a significantly higher AUC than family history (all P < 0.05). Results from this study suggest that while the three most commonly used SNP-based methods performed similarly in discriminating PCa from non-PCa at the population level, GRS-PS is the method of choice for risk assessment at the individual level because its value (where 1.0 represents average population risk) can be easily interpreted regardless

  9. A new extranodal scoring system based on the prognostically relevant extranodal sites in diffuse large B-cell lymphoma, not otherwise specified treated with chemoimmunotherapy.

    PubMed

    Hwang, Hee Sang; Yoon, Dok Hyun; Suh, Cheolwon; Huh, Jooryung

    2016-08-01

    Extranodal involvement is a well-known prognostic factor in patients with diffuse large B-cell lymphomas (DLBCL). Nevertheless, the prognostic impact of the extranodal scoring system included in the conventional international prognostic index (IPI) has been questioned in an era where rituximab treatment has become widespread. We investigated the prognostic impacts of individual sites of extranodal involvement in 761 patients with DLBCL who received rituximab-based chemoimmunotherapy. Subsequently, we established a new extranodal scoring system based on extranodal sites, showing significant prognostic correlation, and compared this system with conventional scoring systems, such as the IPI and the National Comprehensive Cancer Network-IPI (NCCN-IPI). An internal validation procedure, using bootstrapped samples, was also performed for both univariate and multivariate models. Using multivariate analysis with a backward variable selection, we found nine extranodal sites (the liver, lung, spleen, central nervous system, bone marrow, kidney, skin, adrenal glands, and peritoneum) that remained significant for use in the final model. Our newly established extranodal scoring system, based on these sites, was better correlated with patient survival than standard scoring systems, such as the IPI and the NCCN-IPI. Internal validation by bootstrapping demonstrated an improvement in model performance of our modified extranodal scoring system. Our new extranodal scoring system, based on the prognostically relevant sites, may improve the performance of conventional prognostic models of DLBCL in the rituximab era and warrants further external validation using large study populations. PMID:27167532

  10. A Genetic Risk Score for Thyroid Peroxidase Antibodies Associates With Clinical Thyroid Disease in Community-Based Populations

    PubMed Central

    Schultheiss, Ulla T.; Teumer, Alexander; Medici, Marco; Li, Yong; Daya, Natalie; Chaker, Layal; Homuth, Georg; Uitterlinden, Andre G.; Nauck, Matthias; Hofman, Albert; Selvin, Elizabeth; Völzke, Henry; Peeters, Robin P.

    2015-01-01

    Context: Antibodies against thyroid peroxidase (TPOAbs) are detected in 90% of all patients with Hashimoto thyroiditis, the most common cause of hypothyroidism. Hypothyroidism is associated with a range of adverse outcomes. The current knowledge of its genetic underpinnings is limited. Objective: The purpose of this study was to identify novel genetic variants associated with TPOAb concentrations and positivity using genome-wide association data and to characterize their association with thyroid function and disease. Design, Setting, and Participants: We studied European ancestry participants of 3 independent prospective population-based studies: Atherosclerosis Risk In Communities study (n = 7524), Study of Health in Pomerania (n = 3803), and Study of Health in Pomerania-TREND (n = 887). Exposure: Single nucleotide polymorphisms (SNPs), individually and combined into a genetic risk score (GRS), were examined. Main Outcomes: The main outcomes were TPOAb concentrations and positivity, thyroid hormone concentrations (TSH, free T4), and clinical thyroid diseases (subclinical and overt hypothyroidism and goiter). Results: Significantly associated single nucleotide polymorphisms (P < 5 · 10−8) mapped into 4 genomic regions not previously implicated for TPOAbs (RERE, extended HLA region) and into 5 previously described loci. A higher Genetic Risk Score (GRS) based on these 9 SNPs showed strong and graded associations with higher TPOAb, TSH, and lower free T4 concentrations (P < .001). Compared with individuals in the lowest GRS quartile, those in the highest quartile had 1.80-fold higher odds of subclinical hypothyroidism (95% confidence interval, 1.27–2.55) and 1.89-fold higher odds of overt hypothyroidism (95% confidence interval, 1.24–2.87). Conclusion: The identification of 4 novel genetic loci associated with TPOAb concentrations and positivity gives further insight into the genetic underpinnings of hypothyroidism. A GRS showed strong and graded associations

  11. Association Between Low IQ Scores and Early Mortality in Men and Women: Evidence From a Population-Based Cohort Study.

    PubMed

    Maenner, Matthew J; Greenberg, Jan S; Mailick, Marsha R

    2015-05-01

    Lower (versus higher) IQ scores have been shown to increase the risk of early mortality, however, the underlying mechanisms are poorly understood and previous studies underrepresent individuals with intellectual disability (ID) and women. This study followed one third of all senior-year students (approximately aged 17) attending public high school in Wisconsin, U.S. in 1957 (n  =  10,317) until 2011. Men and women with the lowest IQ test scores (i.e., IQ scores ≤ 85) had increased rates of mortality compared to people with the highest IQ test scores, particularly for cardiovascular disease. Importantly, when educational attainment was held constant, people with lower IQ test scores did not have higher mortality by age 70 than people with higher IQ test scores. Individuals with lower IQ test scores likely experience multiple disadvantages throughout life that contribute to increased risk of early mortality. PMID:25928436

  12. A pilot study on the application of a symptom-based score for the diagnosis of cow’s milk protein allergy

    PubMed Central

    Steenhout, Philippe; Grathwohl, Dominik

    2014-01-01

    Objective: A challenge is the recommended test to diagnose cow’s milk protein allergy. However, many parents and physicians prefer to not challenge because the procedure may cause (severe) symptoms. In clinical routine, diagnostic testing is only available for IgE-mediated allergy. The aim of this study was to test the diagnostic accuracy of a symptom-based score to select infants at risk of having cow’s milk protein allergy. Methods: A symptom-based score was developed and consensus was reached that a score of ≥12 would select infants at risk of cow’s milk protein allergy. Diagnosis of cow’s milk protein allergy was demonstrated with a positive challenge after 1-month elimination diet. Results: An open challenge was performed in 85/116 (73%) infants suspected of cow’s milk protein allergy based on a symptom-based score ≥ 12 and was positive in 59/85 (69%). Although “a challenge test” was planned in the protocol, 27% of the parents refused the challenge. The mean decrease after 1 month of elimination diet with an extensive hydrolysate was −8.07 (95% confidence interval = −8.74, −7.40). If the symptom-based score during the elimination diet decreased to 6 or lower, 80% of the infants had a positive challenge test. If the symptom-based score remained >7, the challenge test was positive in only 48% (p < 0.001). Conclusion: In daily practice, a symptom-based score of ≥12 is a useful tool to select infants at risk of cow’s milk protein allergy. If an elimination diet reduces the symptom-based score to ≤6, the challenge test is positive in 80%. PMID:26770708

  13. The reliability of a novel magnetic resonance imaging-based tool for the evaluation of forefoot bursae in patients with rheumatoid arthritis: the FFB score

    PubMed Central

    King, Leonard; Thomas, Matthew; Roemer, Frank; Culliford, David; Bowen, Catherine J.; Arden, Nigel K.; Edwards, Christopher J.

    2014-01-01

    Objective. The aim of this study was to determine the reliability of an MRI-based score that evaluates forefoot bursae (FFBs) in patients with RA. Methods. Items for inclusion, grading criteria and MRI sequences were determined iteratively. The score was evaluated in 30 patients with established RA. Reader agreement was evaluated using the percentage of exact/close agreement, Bland–Altman plots, kappa and intraclass correlation coefficient analyses. Results. The FFB score assesses nine forefoot regions and contains four items: presence, shape, enhancement and magnetic resonance characteristics. The FFB score showed moderate to good intra- and interreader agreement (κ range = 0.5–0.9 and 0.47–0.87, respectively). Conclusion. The FFB score is adequately reliable in the evaluation of bursa-like lesions of the forefoot in patients with RA. PMID:24907157

  14. MicroRNAfold: pre-microRNA secondary structure prediction based on modified NCM model with thermodynamics-based scoring strategy.

    PubMed

    Han, Dianwei; Zhang, Jun; Tang, Guiliang

    2012-01-01

    An accurate prediction of the pre-microRNA secondary structure is important in miRNA informatics. Based on a recently proposed model, nucleotide cyclic motifs (NCM), to predict RNA secondary structure, we propose and implement a Modified NCM (MNCM) model with a physics-based scoring strategy to tackle the problem of pre-microRNA folding. Our microRNAfold is implemented using a global optimal algorithm based on the bottom-up local optimal solutions. Our experimental results show that microRNAfold outperforms the current leading prediction tools in terms of True Negative rate, False Negative rate, Specificity, and Matthews coefficient ratio. PMID:23155762

  15. The Healthy Weights Initiative: a community-based obesity reduction program with positive impact on depressed mood scores

    PubMed Central

    Lemstra, Mark Edgar; Rogers, Marla Rochelle

    2016-01-01

    Objectives The risk for many chronic diseases increases with obesity. In addition to these, the risk for depression also increases. Exercise interventions for weight loss among those who are not overweight or obese have shown a moderate effect on depression, but few studies have looked at those with obesity. The objectives of this study were to determine 1) the prevalence of depressed mood in obese participants as determined by the Beck Depression Inventory II at baseline and follow-up; 2) the change in depressed mood between those who completed the program and those who did not; and 3) the differences between those whose depressed mood was alleviated after the program and those who continued to have depressed mood. Methods Depressed mood scores were calculated at baseline and follow-up for those who completed the program and for those who quit. Among those who completed the program, chi-squares were used to determine the differences between those who no longer had depressed mood and those who still had depressed mood at the end of the program, and regression analysis was used to determine the independent risk factors for still having depressed mood at program completion. Results Depressed mood prevalence decreased from 45.7% to 11.7% (P<0.000) from baseline to follow-up among those who completed the program and increased from 44.8% to 55.6% (P<0.000) among those who quit. After logistic regression, a score of <40 in general health increased the risk of still having depressed mood upon program completion (odds ratio [OR] 3.39; 95% CI 1.18–9.72; P=0.023). Conclusion Treating depressed mood among obese adults through a community-based, weight-loss program based on evidence may be an adjunct to medical treatment. More research is needed. PMID:27257395

  16. Nutritional Quality of Breakfast and Physical Activity Independently Predict the Literacy and Numeracy Scores of Children after Adjusting for Socioeconomic Status

    ERIC Educational Resources Information Center

    O'Dea, Jennifer A.; Mugridge, Anna C.

    2012-01-01

    Health-related behaviors [physical activity (PA), nutritional quality of breakfast and sleep]; personal variables (self-esteem, attitudes to PA and gender) and socioeconomic status (SES) (school SES and parental education), were examined in relation to literacy and numeracy scores of 824 grade 3-7 children. Participants completed a questionnaire,…

  17. The Impact of Four-Year Participation in Music and/or Athletic Activities in South Dakota Public High Schools on GPA and ACT Scores

    ERIC Educational Resources Information Center

    Jones, Patrick S.

    2010-01-01

    Finding the key to success for high school students has long been the goal for both school personnel and parents. This study examined the impact of four-year participation in music and/or athletics activities in South Dakota public high schools on student GPA and ACT scores. The data in this study were collected from five Class A high schools…

  18. Role of Adjuvant Radiotherapy in Left-Sided Pancreatic Cancer-Population-Based Analysis with Propensity Score Matching.

    PubMed

    Lim, Yu Jin; Kim, Kyubo; Chie, Eui Kyu; Kim, BoKyong; Ha, Sung W

    2015-12-01

    This population-based study evaluated the survival impact of postoperative radiotherapy (PORT) in left-sided pancreatic cancer. The Surveillance, Epidemiology, and End Results (SEER) database was used to identify patients with surgically resected left-sided pancreatic adenocarcinoma from 2004 to 2010. Propensity score matching was conducted to compare PORT and non-PORT groups. A total of 445 patients were identified, and PORT was performed in 180 (40 %) patients. In the unmatched population, there were no significant differences in overall survival (OS) (P = 0.197) and cause-specific survival (CSS) (P = 0.379) between the PORT and non-PORT groups. After propensity score matching, the patients treated with PORT had longer median OS (P = 0.012) and CSS (P = 0.039) than the non-PORT group. In propensity-adjusted multivariate analysis, non-receipt of PORT was a poor prognostic factor in OS (hazard ratio [HR] 1.39, 95 % confidence interval [CI] 1.08-1.79), and CSS (HR 1.31, 95 % CI 1.01-1.71). The log odds of positive lymph nodes (LOODS) (≥-0.73) was also associated with worse OS (P = 0.003) and CSS (P = 0.001). In left-sided pancreatic cancer, considering the addition of PORT is a reasonable option as in pancreatic head cancer. The LOODS was suggested as a strong predictive indicator of the patients' prognoses. PMID:26376994

  19. Anomalous diffusion in the evolution of soccer championship scores: Real data, mean-field analysis, and an agent-based model

    NASA Astrophysics Data System (ADS)

    da Silva, Roberto; Vainstein, Mendeli H.; Gonçalves, Sebastián; Paula, Felipe S. F.

    2013-08-01

    Statistics of soccer tournament scores based on the double round robin system of several countries are studied. Exploring the dynamics of team scoring during tournament seasons from recent years we find evidences of superdiffusion. A mean-field analysis results in a drift velocity equal to that of real data but in a different diffusion coefficient. Along with the analysis of real data we present the results of simulations of soccer tournaments obtained by an agent-based model which successfully describes the final scoring distribution [da Silva , Comput. Phys. Commun.CPHCBZ0010-465510.1016/j.cpc.2012.10.030 184, 661 (2013)]. Such model yields random walks of scores over time with the same anomalous diffusion as observed in real data.

  20. qPCR based mRNA quality score show intact mRNA after heat stabilization

    PubMed Central

    Karlsson, Oskar; Segerström, Lova; Sjöback, Robert; Nylander, Ingrid; Borén, Mats

    2016-01-01

    Analysis of multiple analytes from biological samples can be challenging as different analytes require different preservation measures. Heat induced enzymatic inactivation is an efficient way to preserve proteins and their modifications in biological samples but RNA quality, as measured by RIN value, has been a concern in such samples. Here, we investigate the effect of heat stabilization compared with standard snap freezing on RNA quality using two RNA extraction protocols, QiaZol with and without urea pre-solubilization, and two RNA quality measurements: RIN value, as defined by the Agilent Bioanalyzer, and an alternative qPCR based method. DNA extraction from heat stabilized brain samples was also examined. The snap frozen samples had RIN values about 1 unit higher than heat stabilized samples for the direct QiaZol extraction but equal with stabilized samples using urea pre-solubilization. qPCR based RNA quality measurement showed no difference in quality between snap frozen and heat inactivated samples. The probable explanation for this discrepancy is that the RIN value is an indirect measure based on rRNA, while the qPCR score is based on actual measurement of mRNA quality. The DNA yield from heat stabilized brain tissue samples was significantly increased, compared to the snap frozen tissue, without any effects on purity or quality. Hence, heat stabilization of tissues opens up the possibility for a two step preservation protocol, where proteins and their modifications can be preserved in the first heat based step, while in a second step, using standard RNA preservation strategies, mRNA be preserved. This collection strategy will enable biobanking of samples where the ultimate analysis is not determined without loss of sample quality. PMID:27077049

  1. qPCR based mRNA quality score show intact mRNA after heat stabilization.

    PubMed

    Karlsson, Oskar; Segerström, Lova; Sjöback, Robert; Nylander, Ingrid; Borén, Mats

    2016-03-01

    Analysis of multiple analytes from biological samples can be challenging as different analytes require different preservation measures. Heat induced enzymatic inactivation is an efficient way to preserve proteins and their modifications in biological samples but RNA quality, as measured by RIN value, has been a concern in such samples. Here, we investigate the effect of heat stabilization compared with standard snap freezing on RNA quality using two RNA extraction protocols, QiaZol with and without urea pre-solubilization, and two RNA quality measurements: RIN value, as defined by the Agilent Bioanalyzer, and an alternative qPCR based method. DNA extraction from heat stabilized brain samples was also examined. The snap frozen samples had RIN values about 1 unit higher than heat stabilized samples for the direct QiaZol extraction but equal with stabilized samples using urea pre-solubilization. qPCR based RNA quality measurement showed no difference in quality between snap frozen and heat inactivated samples. The probable explanation for this discrepancy is that the RIN value is an indirect measure based on rRNA, while the qPCR score is based on actual measurement of mRNA quality. The DNA yield from heat stabilized brain tissue samples was significantly increased, compared to the snap frozen tissue, without any effects on purity or quality. Hence, heat stabilization of tissues opens up the possibility for a two step preservation protocol, where proteins and their modifications can be preserved in the first heat based step, while in a second step, using standard RNA preservation strategies, mRNA be preserved. This collection strategy will enable biobanking of samples where the ultimate analysis is not determined without loss of sample quality. PMID:27077049

  2. NPPD: A Protein-Protein Docking Scoring Function Based on Dyadic Differences in Networks of Hydrophobic and Hydrophilic Amino Acid Residues

    PubMed Central

    Shih, Edward S. C.; Hwang, Ming-Jing

    2015-01-01

    Protein-protein docking (PPD) predictions usually rely on the use of a scoring function to rank docking models generated by exhaustive sampling. To rank good models higher than bad ones, a large number of scoring functions have been developed and evaluated, but the methods used for the computation of PPD predictions remain largely unsatisfactory. Here, we report a network-based PPD scoring function, the NPPD, in which the network consists of two types of network nodes, one for hydrophobic and the other for hydrophilic amino acid residues, and the nodes are connected when the residues they represent are within a certain contact distance. We showed that network parameters that compute dyadic interactions and those that compute heterophilic interactions of the amino acid networks thus constructed allowed NPPD to perform well in a benchmark evaluation of 115 PPD scoring functions, most of which, unlike NPPD, are based on some sort of protein-protein interaction energy. We also showed that NPPD was highly complementary to these energy-based scoring functions, suggesting that the combined use of conventional scoring functions and NPPD might significantly improve the accuracy of current PPD predictions. PMID:25811640

  3. Hospital-based injury data in Malawi: strategies for data collection and feasibility of trauma scoring tools.

    PubMed

    Samuel, Jonathan C; Akinkuotu, Adesola; Baloyi, Paul; Villaveces, Andres; Charles, Anthony; Lee, Clara N; Miller, William; Hoffman, Irving F; Muyco, Arturo P

    2010-04-01

    Injury is a major cause of morbidity and mortality in developing countries. Utilizing a partnership between Kamuzu Central Hospital (KCH) and the University of North Carolina Departments of Surgery, we describe an approach to injury surveillance, examine the utility of trauma scoring systems, and outline steps necessary before such scoring systems can be reliably instituted in a resource-constrained setting. PMID:20305105

  4. Biologic score and mortality based on a 30-year mortality follow-up: radiation effects research foundation adult health study.

    PubMed

    Kasagi, Fumiyoshi; Yamada, Michiko; Sasaki, Hideo; Fujita, Shoichiro

    2009-08-01

    This study aimed to test whether scored biologic functions can predict individual life expectancies and to investigate the disease-related and time-related differences in evaluated associations. A biologic score was defined as the first principal component score of the five physiological tests. Study participants were 4,871 people aged 35-74 years at baseline examination in 1970-1972 and followed until the end of 1999. We evaluated the prognostic value of the biologic score by Cox proportional hazard analysis. In all age and sex groups, increasing trends of mortality for all diseases by increment of biologic score were observed after adjustment for potential risk factors. The validity of the biologic score was significant throughout the entire study period. Each disease except cancer showed a significant association with biologic score at baseline examination. In conclusion, the biologic score is a valid predictor of life span in this large-scale prospective study of middle-aged and elderly Japanese. PMID:19435953

  5. Development of new risk score for pre-test probability of obstructive coronary artery disease based on coronary CT angiography.

    PubMed

    Fujimoto, Shinichiro; Kondo, Takeshi; Yamamoto, Hideya; Yokoyama, Naoyuki; Tarutani, Yasuhiro; Takamura, Kazuhisa; Urabe, Yoji; Konno, Kumiko; Nishizaki, Yuji; Shinozaki, Tomohiro; Kihara, Yasuki; Daida, Hiroyuki; Isshiki, Takaaki; Takase, Shinichi

    2015-09-01

    Existing methods to calculate pre-test probability of obstructive coronary artery disease (CAD) have been established using selected high-risk patients who were referred to conventional coronary angiography. The purpose of this study is to develop and validate our new method for pre-test probability of obstructive CAD using patients who underwent coronary CT angiography (CTA), which could be applicable to a wider range of patient population. Using consecutive 4137 patients with suspected CAD who underwent coronary CTA at our institution, a multivariate logistic regression model including clinical factors as covariates calculated the pre-test probability (K-score) of obstructive CAD determined by coronary CTA. The K-score was compared with the Duke clinical score using the area under the curve (AUC) for the receiver-operating characteristic curve. External validation was performed by an independent sample of 319 patients. The final model included eight significant predictors: age, gender, coronary risk factor (hypertension, diabetes mellitus, dyslipidemia, smoking), history of cerebral infarction, and chest symptom. The AUC of the K-score was significantly greater than that of the Duke clinical score for both derivation (0.736 vs. 0.699) and validation (0.714 vs. 0.688) data sets. Among patients who underwent coronary CTA, newly developed K-score had better pre-test prediction ability of obstructive CAD compared to Duke clinical score in Japanese population. PMID:24770610

  6. Dual energy x-ray imaging and scoring of coronary calcium: physics-based digital phantom and clinical studies

    NASA Astrophysics Data System (ADS)

    Zhou, Bo; Wen, Di; Nye, Katelyn; Gilkeson, Robert C.; Wilson, David L.

    2016-03-01

    Coronary artery calcification (CAC) as assessed with CT calcium score is the best biomarker of coronary artery disease. Dual energy x-ray provides an inexpensive, low radiation-dose alternative. A two shot system (GE Revolution-XRd) is used, raw images are processed with a custom algorithm, and a coronary calcium image (DECCI) is created, similar to the bone image, but optimized for CAC visualization, not lung visualization. In this report, we developed a physicsbased, digital-phantom containing heart, lung, CAC, spine, ribs, pulmonary artery, and adipose elements, examined effects on DECCI, suggested physics-inspired algorithms to improve CAC contrast, and evaluated the correlation between CT calcium scores and a proposed DE calcium score. In simulation experiment, Beam hardening from increasing adipose thickness (2cm to 8cm) reduced Cg by 19% and 27% in 120kVp and 60kVp images, but only reduced Cg by <7% in DECCI. If a pulmonary artery moves or pulsates with blood filling between exposures, it can give rise to a significantly confounding PA signal in DECCI similar in amplitude to CAC. Observations suggest modifications to DECCI processing, which can further improve CAC contrast by a factor of 2 in clinical exams. The DE score had the best correlation with "CT mass score" among three commonly used CT scores. Results suggest that DE x-ray is a promising tool for imaging and scoring CAC, and there still remains opportunity for further DECCI processing improvements.

  7. School-Based Assessments in High-Stakes Examinations in Bhutan: A Question of Trust? Exploring Inconsistencies between External Exam Scores, School-Based Assessments, Detailed Teacher Ratings, and Student Self-Ratings

    ERIC Educational Resources Information Center

    Luyten, Hans; Dolkar, Dechen

    2010-01-01

    This study explores the validity of school-based assessments when they serve to supplement scores on central tests in high-stakes examinations. The school-based continuous assessment (CA) marks are compared to the marks scored on the central written Bhutan Certificate of Secondary Education (BCSE) examination, to detailed teacher ratings of…

  8. Proposing Melasma Severity Index: A New, More Practical, Office-based Scoring System for Assessing the Severity of Melasma

    PubMed Central

    Majid, Imran; Haq, Inaamul; Imran, Saher; Keen, Abid; Aziz, Khalid; Arif, Tasleem

    2016-01-01

    Background: Melasma Area and Severity Index (MASI), the scoring system in melasma, needs to be refined. Aims and Objectives: To propose a more practical scoring system, named as Melasma Severity Index (MSI), for assessing the disease severity and treatment response in melasma. Materials and Methods: Four dermatologists were trained to calculate MASI and also the proposed MSI scores. For MSI, the formula used was 0.4 (a × p2) l + 0.4 (a × p2) r + 0.2 (a × p2) n where “a” stands for area, “p” for pigmentation, “l” for left face, “r” for right face, and “n” for nose. On a single day, 30 enrolled patients were randomly examined by each trained dermatologist and their MASI and MSI scores were calculated. Next, each rater re-examined every 6th patient for repeat MASI and MSI scoring to assess intra- and inter-rater reliability of MASI and MSI scores. Validity was assessed by comparing the individual scores of each rater with objective data from mexameter and ImageJ software. Results: Inter-rater reliability, as assessed by intraclass correlation coefficient, was significantly higher for MSI (0.955) as compared to MASI (0.816). Correlation of scores with objective data by Spearman's correlation revealed higher rho values for MSI than for MASI for all raters. Limitations: Sample population belonged to a single ethnic group. Conclusions: MSI is simpler and more practical scoring system for melasma. PMID:26955093

  9. Grouped to Achieve: Are There Benefits to Assigning Students to Heterogeneous Cooperative Learning Groups Based on Pre-Test Scores?

    NASA Astrophysics Data System (ADS)

    Werth, Arman Karl

    Cooperative learning has been one of the most widely used instructional practices around the world since the early 1980's. Small learning groups have been in existence since the beginning of the human race. These groups have grown in their variance and complexity overtime. Classrooms are getting more diverse every year and instructors need a way to take advantage of this diversity to improve learning. The purpose of this study was to see if heterogeneous cooperative learning groups based on student achievement can be used as a differentiated instructional strategy to increase students' ability to demonstrate knowledge of science concepts and ability to do engineering design. This study includes two different groups made up of two different middle school science classrooms of 25-30 students. These students were given an engineering design problem to solve within cooperative learning groups. One class was put into heterogeneous cooperative learning groups based on student's pre-test scores. The other class was grouped based on random assignment. The study measured the difference between each class's pre-post gains, student's responses to a group interaction form and interview questions addressing their perceptions of the makeup of their groups. The findings of the study were that there was no significant difference between learning gains for the treatment and comparison groups. There was a significant difference between the treatment and comparison groups in student perceptions of their group's ability to stay on task and manage their time efficiently. Both the comparison and treatment groups had a positive perception of the composition of their cooperative learning groups.

  10. The Clinical Performance of an Office-Based Risk Scoring System for Fatal Cardiovascular Diseases in North-East of Iran

    PubMed Central

    Sepanlou, Sadaf G.; Malekzadeh, Reza; Poustchi, Hossein; Sharafkhah, Maryam; Ghodsi, Saeed; Malekzadeh, Fatemeh; Etemadi, Arash; Pourshams, Akram; Pharoah, Paul D.; Abnet, Christian C.; Brennan, Paul; Boffetta, Paolo; Dawsey, Sanford M.; Kamangar, Farin

    2015-01-01

    Background Cardiovascular diseases (CVD) are becoming major causes of death in developing countries. Risk scoring systems for CVD are needed to prioritize allocation of limited resources. Most of these risk score algorithms have been based on a long array of risk factors including blood markers of lipids. However, risk scoring systems that solely use office-based data, not including laboratory markers, may be advantageous. In the current analysis, we validated the office-based Framingham risk scoring system in Iran. Methods The study used data from the Golestan Cohort in North-East of Iran. The following risk factors were used in the development of the risk scoring method: sex, age, body mass index, systolic blood pressure, hypertension treatment, current smoking, and diabetes. Cardiovascular risk functions for prediction of 10-year risk of fatal CVDs were developed. Results A total of 46,674 participants free of CVD at baseline were included. Predictive value of estimated risks was examined. The resulting Area Under the ROC Curve (AUC) was 0.774 (95% CI: 0.762-0.787) in all participants, 0.772 (95% CI: 0.753-0.791) in women, and 0.763 (95% CI: 0.747-0.779) in men. AUC was higher in urban areas (0.790, 95% CI: 0.766-0.815). The predicted and observed risks of fatal CVD were similar in women. However, in men, predicted probabilities were higher than observed. Conclusion The AUC in the current study is comparable to results of previous studies while lipid profile was replaced by body mass index to develop an office-based scoring system. This scoring algorithm is capable of discriminating individuals at high risk versus low risk of fatal CVD. PMID:26011607

  11. The Impact of Individual Ability, Favorable Team Member Scores, and Student Perception of Course Importance on Student Preference of Team-Based Learning and Grading Methods

    ERIC Educational Resources Information Center

    Su, Allan Yen-Lun

    2007-01-01

    This study explores the impact of individual ability and favorable team member scores on student preference of team-based learning and grading methods, and examines the moderating effects of student perception of course importance on student preference of team-based learning and grading methods. The author also investigates the relationship…

  12. 12 CFR Appendix H to Part 222 - Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 12 Banks and Banking 3 2012-01-01 2012-01-01 false Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices H Appendix H to Part 222 Banks and Banking FEDERAL... (REGULATION V) Pt. 222, App. H Appendix H to Part 222—Appendix H—Model Forms for Risk-Based Pricing and...

  13. Reliability and Determinants of Self-Evaluation of Breathing Questionnaire (SEBQ) Score: A Symptoms-Based Measure of Dysfunctional Breathing.

    PubMed

    Mitchell, A J; Bacon, C J; Moran, R W

    2016-03-01

    Dysfunctional breathing is characterised by an abnormal breathing pattern leading to respiratory symptoms. The 25-item Self Evaluation of Breathing Questionnaire (SEBQ) has been developed to measure breathing-related symptoms and their severity but lacks thorough evaluation. To determine reproducibility, internal consistency and predictors of SEBQ score, 180 participants completed an online SEBQ with additional demographic and lifestyle questions. Two weeks later, 155 of those repeated SEBQ. Test-retest correlation of the SEBQ was high [intraclass correlation coefficient (3, 1) = 0.89; 95 % CI 0.85-0.92]. There was no difference in SEBQ score between test and retest (15.1 (11.6) [mean (SD)] versus 14.7 (12.4); P = 0.4) and the score showed a typical error (standard error of measurement) of 4.0. Internal consistency was high (Cronbach's α = 0.93), and a single factor structure for items was shown. Smoking status, reported respiratory disease, recent respiratory illness and female gender were positively-associated predictors of SEBQ score, and together explained 25.6 % of score variance (P ≤ 0.001). The SEBQ has high test-retest reproducibility and its score may be predicted by current smoking, chronic respiratory disease, recent respiratory illness and female gender, thus may be a useful clinical screening tool for dysfunctional breathing. PMID:26400252

  14. A study of the effect of a visual arts-based program on the scores of Jefferson scale for physician empathy

    PubMed Central

    2013-01-01

    Background The effect of visual arts interventions on development of empathy has not been quantitatively investigated. A study was conducted on the effect of a visual arts-based program on the scores of the Jefferson Scale for Physician Empathy (JSPE). Methods A total of 110 clerks (n = 92) and first-year postgraduate residents (PGY1s) (n = 18) participating in the program were recruited into this study. The 4-hr program covered the subjects of learning to interpret paintings, interpreting paintings relating to medicine, illness and human suffering, the related-topics of humanitarianism and the other humanities fields and values and meaning. The JSPE was completed at the beginning (pretest) and the end (posttest) of the program. Results There was no significant difference between the pretest and posttest JSPE scores. The average of the scores for the pretest was lower in the subgroup of PGY1s than the subgroup of clerks (p = 0.0358). An increased but not significantly mean posttest JESPE score was noted for the subgroup of PGY1s. Neither the females nor the males had higher posttest JSPE scores than the pretest scores. Conclusions Although using a structured visual arts-based program as an intervention may be useful to enhance medical students’ empathy, our results failed to show a positive effect on the JSPE Scores for a group of clerks and PGY1s. This suggests that further experimental studies are needed if quantitative evaluation of the effectiveness of visual-arts based programs on empathy is to be investigated. PMID:24156472

  15. A Novel and Validated Inflammation-Based Score (IBS) Predicts Survival in Patients With Hepatocellular Carcinoma Following Curative Surgical Resection: A STROBE-Compliant Article.

    PubMed

    Fu, Yi-Peng; Ni, Xiao-Chun; Yi, Yong; Cai, Xiao-Yan; He, Hong-Wei; Wang, Jia-Xing; Lu, Zhu-Feng; Han, Xu; Cao, Ya; Zhou, Jian; Fan, Jia; Qiu, Shuang-Jian

    2016-02-01

    As chronic inflammation is involved in the pathogenesis and progression of hepatocellular carcinoma (HCC), we investigated the prognostic accuracy of a cluster of inflammatory scores, including the Glasgow Prognostic Score, modified Glasgow Prognostic Score, platelet to lymphocyte ratio, Prognostic Nutritional Index, Prognostic Index, and a novel Inflammation-Based Score (IBS) integrated preoperative and postoperative neutrophil to lymphocyte ratio in 2 independent cohorts. Further, we aimed to formulate an effective prognostic nomogram for HCC after hepatectomy.Prognostic value of inflammatory scores and Barcelona Clinic Liver Cancer (BCLC) stage were studied in a training cohort of 772 patients with HCC underwent hepatectomy. Independent predictors of survival identified in multivariate analysis were validated in an independent set of 349 patients with an overall similar clinical feature.In both training and validation cohorts, IBS, microscopic vascular invasion, and BCLC stage emerged as independent factors of overall survival (OS) and recurrence-free survival (RFS). The predictive capacity of the IBS in both OS and RFS appeared superior to that of the other inflammatory scores in terms of C-index. Additionally, the formulated nomogram comprised IBS resulted in more accurate prognostic prediction compared with BCLC stage alone.IBS is a novel and validated prognostic indicator of HCC after curative resection, and a robust HCC nomogram including IBS was developed to predict survival for patients after hepatectomy. PMID:26886627

  16. Derivation and Cross-Validation of Cutoff Scores for Patients With Schizophrenia Spectrum Disorders on WAIS-IV Digit Span-Based Performance Validity Measures.

    PubMed

    Glassmire, David M; Toofanian Ross, Parnian; Kinney, Dominique I; Nitch, Stephen R

    2016-06-01

    Two studies were conducted to identify and cross-validate cutoff scores on the Wechsler Adult Intelligence Scale-Fourth Edition Digit Span-based embedded performance validity (PV) measures for individuals with schizophrenia spectrum disorders. In Study 1, normative scores were identified on Digit Span-embedded PV measures among a sample of patients (n = 84) with schizophrenia spectrum diagnoses who had no known incentive to perform poorly and who put forth valid effort on external PV tests. Previously identified cutoff scores resulted in unacceptable false positive rates and lower cutoff scores were adopted to maintain specificity levels ≥90%. In Study 2, the revised cutoff scores were cross-validated within a sample of schizophrenia spectrum patients (n = 96) committed as incompetent to stand trial. Performance on Digit Span PV measures was significantly related to Full Scale IQ in both studies, indicating the need to consider the intellectual functioning of examinees with psychotic spectrum disorders when interpreting scores on Digit Span PV measures. PMID:25997434

  17. The impact of individual ability, favorable team member scores, and student perception of course importance on student preference of team-based learning and grading methods.

    PubMed

    Su, Allan Yen-Lun

    2007-01-01

    This study explores the impact of individual ability and favorable team member scores on student preference of team-based learning and grading methods, and examines the moderating effects of student perception of course importance on student preference of team-based learning and grading methods. The author also investigates the relationship between student perception of course importance and their responses to social loafing. Results indicate that individual ability on the preference of team-based learning was affected by the three levels of favorable team member scores. For students with a low level of individual ability, the preference for team-based learning was significant among students with each of three levels of favorable team member scores (p < .05). However, the team-based learning and grading methods was not significant (p > .05). The findings also reveal a negative correlation between student perception of course importance and their responses to social loafing (p < .05). Findings note the importance of teachers' grading methods, student perceptions of course importance as well as individual ability and favorable team member scores in the team selection process to promote student attitude toward team-based learning. PMID:18229513

  18. N-terminal pro b-type natriuretic peptide (NT-pro-BNP) –based score can predict in-hospital mortality in patients with heart failure

    PubMed Central

    Huang, Ya-Ting; Tseng, Yuan-Teng; Chu, Tung-Wei; Chen, John; Lai, Min-Yu; Tang, Woung-Ru; Shiao, Chih-Chung

    2016-01-01

    Serum N-terminal pro b-type natriuretic peptide (NT-pro-BNP) testing is recommended in the patients with heart failure (HF). We hypothesized that NT-pro-BNP, in combination with other clinical factors in terms of a novel NT-pro BNP-based score, may provide even better predictive power for in-hospital mortality among patients with HF. A retrospective study enrolled adult patients with hospitalization-requiring HF who fulfilled the predefined criteria during the period from January 2011 to December 2013. We proposed a novel scoring system consisting of several independent predictors including NT-pro-BNP for predicting in-hospital mortality, and then compared the prognosis-predictive power of the novel NT-pro BNP-based score with other prognosis-predictive scores. A total of 269 patients were enrolled in the current study. Factors such as “serum NT-pro-BNP level above 8100 mg/dl,” “age above 79 years,” “without taking angiotensin converting enzyme inhibitors/angiotensin receptor blocker,” “without taking beta-blocker,” “without taking loop diuretics,” “with mechanical ventilator support,” “with non-invasive ventilator support,” “with vasopressors use,” and “experience of cardio-pulmonary resuscitation” were found as independent predictors. A novel NT-pro BNP-based score composed of these risk factors was proposed with excellent predictability for in-hospital mortality. The proposed novel NT-pro BNP-based score was extremely effective in predicting in-hospital mortality in HF patients. PMID:27411951

  19. N-terminal pro b-type natriuretic peptide (NT-pro-BNP) -based score can predict in-hospital mortality in patients with heart failure.

    PubMed

    Huang, Ya-Ting; Tseng, Yuan-Teng; Chu, Tung-Wei; Chen, John; Lai, Min-Yu; Tang, Woung-Ru; Shiao, Chih-Chung

    2016-01-01

    Serum N-terminal pro b-type natriuretic peptide (NT-pro-BNP) testing is recommended in the patients with heart failure (HF). We hypothesized that NT-pro-BNP, in combination with other clinical factors in terms of a novel NT-pro BNP-based score, may provide even better predictive power for in-hospital mortality among patients with HF. A retrospective study enrolled adult patients with hospitalization-requiring HF who fulfilled the predefined criteria during the period from January 2011 to December 2013. We proposed a novel scoring system consisting of several independent predictors including NT-pro-BNP for predicting in-hospital mortality, and then compared the prognosis-predictive power of the novel NT-pro BNP-based score with other prognosis-predictive scores. A total of 269 patients were enrolled in the current study. Factors such as "serum NT-pro-BNP level above 8100 mg/dl," "age above 79 years," "without taking angiotensin converting enzyme inhibitors/angiotensin receptor blocker," "without taking beta-blocker," "without taking loop diuretics," "with mechanical ventilator support," "with non-invasive ventilator support," "with vasopressors use," and "experience of cardio-pulmonary resuscitation" were found as independent predictors. A novel NT-pro BNP-based score composed of these risk factors was proposed with excellent predictability for in-hospital mortality. The proposed novel NT-pro BNP-based score was extremely effective in predicting in-hospital mortality in HF patients. PMID:27411951

  20. Performance of the Finnish Diabetes Risk Score and a Simplified Finnish Diabetes Risk Score in a Community-Based, Cross-Sectional Programme for Screening of Undiagnosed Type 2 Diabetes Mellitus and Dysglycaemia in Madrid, Spain: The SPREDIA-2 Study

    PubMed Central

    Burgos-Lunar, C.; Lahoz, C.; Mostaza, J. M.; Abánades-Herranz, J. C.; Laguna-Cuesta, F.; Estirado-de Cabo, E.; García-Iglesias, F.; González-Alegre, T.; Fernández-Puntero, B.; Montesano-Sánchez, L.; Vicent-López, D.; Cornejo-del Río, V.; Fernández-García, P. J.; Sánchez-Arroyo, V.; Sabín-Rodríguez, C.; López-López, S.; Patrón-Barandio, P.; Gómez-Campelo, P.

    2016-01-01

    Aim To evaluate the performance of the Finnish Diabetes Risk Score (FINDRISC) and a simplified FINDRISC score (MADRISC) in screening for undiagnosed type 2 diabetes mellitus (UT2DM) and dysglycaemia. Methods A population-based, cross-sectional, descriptive study was carried out with participants with UT2DM, ranged between 45–74 years and lived in two districts in the north of metropolitan Madrid (Spain). The FINDRISC and MADRISC scores were evaluated using the area under the receiver operating characteristic curve method (ROC-AUC). Four different gold standards were used for UT2DM and any dysglycaemia, as follows: fasting plasma glucose (FPG), oral glucose tolerance test (OGTT), HbA1c, and OGTT or HbA1c. Dysglycaemia and UT2DM were defined according to American Diabetes Association criteria. Results The study population comprised 1,426 participants (832 females and 594 males) with a mean age of 62 years (SD = 6.1). When HbA1c or OGTT criteria were used, the prevalence of UT2DM was 7.4% (10.4% in men and 5.2% in women; p<0.01) and the FINDRISC ROC-AUC for UT2DM was 0.72 (95% CI, 0.69–0.74). The optimal cut-off point was ≥13 (sensitivity = 63.8%, specificity = 65.1%). The ROC-AUC of MADRISC was 0.76 (95% CI, 0.72–0.81) with ≥13 as the optimal cut-off point (sensitivity = 84.8%, specificity = 54.6%). FINDRISC score ≥12 for detecting any dysglycaemia offered the best cut-off point when HbA1c alone or OGTT and HbA1c were the criteria used. Conclusions FINDRISC proved to be a useful instrument in screening for dysglycaemia and UT2DM. In the screening of UT2DM, the simplified MADRISC performed as well as FINDRISC. PMID:27441722

  1. Protein Alpha Shape (PAS) Dock: a new gaussian-based score function suitable for docking in homology modelled protein structures.

    PubMed

    Tøndel, Kristin; Anderssen, Endre; Drabløs, Finn

    2006-03-01

    Protein Alpha Shape (PAS) Dock is a new empirical score function suitable for virtual library screening using homology modelled protein structures. Here, the score function is used in combination with the geometry search method Tabu search. A description of the protein binding site is generated using gaussian property fields like in Protein Alpha Shape Similarity Analysis (PASSA). Gaussian property fields are also used to describe the ligand properties. The overlap between the receptor and ligand hydrophilicity and lipophilicity fields is maximised, while minimising steric clashes. Gaussian functions introduce a smoothing of the property fields. This makes the score function robust against small structural variations, and therefore suitable for use with homology models. This also makes it less critical to include protein flexibility in the docking calculations. We use a fast and simplified version of the score function in the geometry search, while a more detailed version is used for the final prediction of the binding free energies. This use of a two-level scoring makes PAS-Dock computationally efficient, and well suited for virtual screening. The PAS-Dock score function is trained on 218 X-ray structures of protein- ligand complexes with experimental binding affinities. The performance of PAS-Dock is compared to two other docking methods, AutoDock and MOE-Dock, with respect to both accuracy and computational efficiency. According to this study, PAS-Dock is more computationally efficient than both AutoDock and MOE-Dock, and gives a better prediction of the free energies of binding. PAS-Dock is also more robust against structural variations than AutoDock. PMID:16652207

  2. Validation of WHO classification-based Prognostic Scoring System (WPSS) for myelodysplastic syndromes and comparison with the revised International Prognostic Scoring System (IPSS-R). A study of the International Working Group for Prognosis in Myelodysplasia (IWG-PM).

    PubMed

    Della Porta, M G; Tuechler, H; Malcovati, L; Schanz, J; Sanz, G; Garcia-Manero, G; Solé, F; Bennett, J M; Bowen, D; Fenaux, P; Dreyfus, F; Kantarjian, H; Kuendgen, A; Levis, A; Cermak, J; Fonatsch, C; Le Beau, M M; Slovak, M L; Krieger, O; Luebbert, M; Maciejewski, J; Magalhaes, S M M; Miyazaki, Y; Pfeilstöcker, M; Sekeres, M A; Sperr, W R; Stauder, R; Tauro, S; Valent, P; Vallespi, T; van de Loosdrecht, A A; Germing, U; Haase, D; Greenberg, P L; Cazzola, M

    2015-07-01

    A risk-adapted treatment strategy is mandatory for myelodysplastic syndromes (MDS). We refined the World Health Organization (WHO)-classification-based Prognostic Scoring System (WPSS) by determining the impact of the newer clinical and cytogenetic features, and we compared its prognostic power to that of the revised International Prognostic Scoring System (IPSS-R). A population of 5326 untreated MDS was considered. We analyzed single WPSS parameters and confirmed that the WHO classification and severe anemia provide important prognostic information in MDS. A strong correlation was found between the WPSS including the new cytogenetic risk stratification and WPSS adopting original criteria. We then compared WPSS with the IPSS-R prognostic system. A highly significant correlation was found between the WPSS and IPSS-R risk classifications. Discrepancies did occur among lower-risk patients in whom the number of dysplastic hematopoietic lineages as assessed by morphology did not reflect the severity of peripheral blood cytopenias and/or increased marrow blast count. Moreover, severe anemia has higher prognostic weight in the WPSS versus IPSS-R model. Overall, both systems well represent the prognostic risk of MDS patients defined by WHO morphologic criteria. This study provides relevant in formation for the implementation of risk-adapted strategies in MDS. PMID:25721895

  3. East Feliciana Parish Schools Embrace Place-Based Education as a Way To Lift Scores on Louisiana's High-Stakes Tests. Rural Trust Featured Project.

    ERIC Educational Resources Information Center

    Null, Elizabeth Higgins

    East Feliciana Parish (Louisiana) has raised achievement scores by involving students in hands-on projects related to community needs and resources. Project Connect, a hands-on science and math program begun by the Delta Rural Systemic Initiative, has expanded into a comprehensive place-based program. In response to new state standards, teams of…

  4. 12 CFR Appendix H to Part 222 - Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 12 Banks and Banking 3 2013-01-01 2013-01-01 false Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices H Appendix H to Part 222 Banks and Banking FEDERAL... REPORTING (REGULATION V) Pt. 222, App. H Appendix H to Part 222—Appendix H—Model Forms for...

  5. 12 CFR Appendix H to Part 222 - Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 12 Banks and Banking 3 2014-01-01 2014-01-01 false Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices H Appendix H to Part 222 Banks and Banking FEDERAL... REPORTING (REGULATION V) Pt. 222, App. H Appendix H to Part 222—Appendix H—Model Forms for...

  6. 12 CFR Appendix H to Part 1022 - Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices

    Code of Federal Regulations, 2012 CFR

    2012-01-01

    ... 12 Banks and Banking 8 2012-01-01 2012-01-01 false Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices H Appendix H to Part 1022 Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION FAIR CREDIT REPORTING (REGULATION V) Pt. 1022, App. H Appendix H to Part...

  7. 12 CFR Appendix H to Part 1022 - Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices

    Code of Federal Regulations, 2014 CFR

    2014-01-01

    ... 12 Banks and Banking 8 2014-01-01 2014-01-01 false Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices H Appendix H to Part 1022 Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION FAIR CREDIT REPORTING (REGULATION V) Pt. 1022, App. H Appendix H to Part...

  8. 12 CFR Appendix H to Part 1022 - Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices

    Code of Federal Regulations, 2013 CFR

    2013-01-01

    ... 12 Banks and Banking 8 2013-01-01 2013-01-01 false Appendix H-Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices H Appendix H to Part 1022 Banks and Banking BUREAU OF CONSUMER FINANCIAL PROTECTION FAIR CREDIT REPORTING (REGULATION V) Pt. 1022, App. H Appendix H to Part...

  9. GE FRST Evaluation Report: How Well Does a Statistically-Based Natural Language Processing System Score Natural Language Constructed-Responses?

    ERIC Educational Resources Information Center

    Burstein, Jill C.; Kaplan, Randy M.

    There is a considerable interest at Educational Testing Service (ETS) to include performance-based, natural language constructed-response items on standardized tests. Such items can be developed, but the projected time and costs required to have these items scored by human graders would be prohibitive. In order for ETS to include these types of…

  10. Assessing the Impact of School-Based Health Centers on Academic Achievement and College Preparation Efforts: Using Propensity Score Matching to Assess School-Level Data in California

    ERIC Educational Resources Information Center

    Bersamin, Melina; Garbers, Samantha; Gaarde, Jenna; Santelli, John

    2016-01-01

    This study examines the association between school-based health center (SBHC) presence and school-wide measures of academic achievement and college preparation efforts. Publicly available educational and demographic data from 810 California public high schools were linked to a list of schools with an SBHC. Propensity score matching, a method to…

  11. Classification of current scoring functions.

    PubMed

    Liu, Jie; Wang, Renxiao

    2015-03-23

    Scoring functions are a class of computational methods widely applied in structure-based drug design for evaluating protein-ligand interactions. Dozens of scoring functions have been published since the early 1990s. In literature, scoring functions are typically classified as force-field-based, empirical, and knowledge-based. This classification scheme has been quoted for more than a decade and is still repeatedly quoted by some recent publications. Unfortunately, it does not reflect the recent progress in this field. Besides, the naming convention used for describing different types of scoring functions has been somewhat jumbled in literature, which could be confusing for newcomers to this field. Here, we express our viewpoint on an up-to-date classification scheme and appropriate naming convention for current scoring functions. We propose that they can be classified into physics-based methods, empirical scoring functions, knowledge-based potentials, and descriptor-based scoring functions. We also outline the major difference and connections between different categories of scoring functions. PMID:25647463

  12. Litter Control Achievement - Ohio 4-H Club Score Sheet [and] Activity Guides 1 through 7. 4-H Pilot Program 918.

    ERIC Educational Resources Information Center

    Ohio State Univ., Columbus. Cooperative Extension Service.

    Seven activity guides, evaluation sheet, and club scoresheet have been prepared for Ohio 4-H clubs' litter education program. Topics of the seven activity guides include: (1) general guidelines and types of activities; (2) little known facts about waste/litter; (3) guidelines for a walking tour; (4) fact sheet (questionnaire) related to garbage;…

  13. Structure Coefficients versus Scoring Coefficients as Bases for Interpreting Emergent Variables in Multiple Regression and Related Techniques.

    ERIC Educational Resources Information Center

    Harris, Richard J.

    Interpretation of emergent variables on the basis of structure coefficients (zero order correlations between original and emergent variables) is potentially very misleading and should be avoided in favor of interpretation on the basis of scoring coefficients. This is most apparent in multiple regression analysis and its special case, two-group…

  14. Ultrasonic Elastography Research Based on a Multicenter Study: Adding Strain Ratio after 5-Point Scoring Evaluation or Not

    PubMed Central

    Yao, Ji-Yi; Li, Lu-Jing; Peng, Yu-lan; Wang, Yi; Liu, Li-sha; Xiao, Ying; Liu, Shou-jun; Wu, Chang-jun; Jiang, Yu-xin; Parajuly, Shyam Sundar; Xu, Ping; Hao, Yi; Li, Jing; Luo, Bao-Ming; Zhi, Hui

    2016-01-01

    Background This study aimed to confirm whether strain ratio should be added after evaluation of lesions with 5-point elasticity scoring for differentiating benign and malignant breast lesions on ultrasonographic elastography(UE). Materials and Methods From June 2010 to March 2012, 1080 consecutive female patients with breast lesions were recruited into a multicenter retrospective study, which involved 8 centers across China. Each institutional ethic review board approved the study, and all the patients gave written informed consent. All the patients underwent the UE procedure and the strain ratios were calculated and the final diagnosis was made by histological findings. The sensitivity, specificity, accuracy, PPV and NPV were calculated for each of the two evaluation systems and the areas under the ROC curve were compared. Results The strain ratios of benign lesions (mean, 2.6±2.0) and malignant lesions (mean,7.9±5.8) were significantly different (p <0.01). When the cutoff point was 3.01, strain ratio method had 79.8% sensitivity, 82.8% specificity, and 81.3% accuracy, while the 5-point scoring method had 93.1% sensitivity, 73.0% specificity, and 76.8% accuracy. The areas under the ROC curve with the strain ratio method and 5-point scoring method were 0.863 and 0.865, respectively(p>0.05). The strain ratio method shows better a diagnosis performance of the lesions with elasticity score 3 and 4. Conclusions Although the two UE methods have similar diagnostic performance, separate calculation of the strain ratios seems compulsory, especially for the large solid breast lesions and the lesions with elasticity score 3 and 4. PMID:26863208

  15. One-Year Mortality in Older Patients with Cancer: Development and External Validation of an MNA-Based Prognostic Score

    PubMed Central

    Bourdel-Marchasson, Isabelle; Diallo, Abou; Bellera, Carine; Blanc-Bisson, Christelle; Durrieu, Jessica; Germain, Christine; Mathoulin-Pélissier, Simone; Soubeyran, Pierre; Rainfray, Muriel; Fonck, Mariane; Doussau, Adelaïde

    2016-01-01

    Purpose The MNA (Mini Nutritional Assessment) is known as a prognosis factor in older population. We analyzed the prognostic value for one-year mortality of MNA items in older patients with cancer treated with chemotherapy as the basis of a simplified prognostic score. Methods The prospective derivation cohort included 606 patients older than 70 years with an indication of chemotherapy for cancers. The endpoint to predict was one-year mortality. The 18 items of the Full MNA, age, gender, weight loss, cancer origin, TNM, performance status and lymphocyte count were considered to construct the prognostic model. MNA items were analyzed with a backward step-by-step multivariate logistic regression and other items were added in a forward step-by-step regression. External validation was performed on an independent cohort of 229 patients. Results At one year 266 deaths had occurred. Decreased dietary intake (p = 0.0002), decreased protein-rich food intake (p = 0.025), 3 or more prescribed drugs (p = 0.023), calf circumference <31cm (p = 0.0002), tumor origin (p<0.0001), metastatic status (p = 0.0007) and lymphocyte count <1500/mm3 (0.029) were found to be associated with 1-year mortality in the final model and were used to construct a prognostic score. The area under curve (AUC) of the score was 0.793, which was higher than the Full MNA AUC (0.706). The AUC of the score in validation cohort (229 subjects, 137 deaths) was 0.698. Conclusion Key predictors of one-year mortality included cancer cachexia clinical features, comorbidities, the origin and the advanced status of the tumor. The prognostic value of this model combining a subset of MNA items and cancer related items was better than the full MNA, thus providing a simple score to predict 1-year mortality in older patients with an indication of chemotherapy. PMID:26859298

  16. Development of risk-based trading farm scoring system to assist with the control of bovine tuberculosis in cattle in England and Wales.

    PubMed

    Adkin, A; Brouwer, A; Simons, R R L; Smith, R P; Arnold, M E; Broughan, J; Kosmider, R; Downs, S H

    2016-01-01

    Identifying and ranking cattle herds with a higher risk of being or becoming infected on known risk factors can help target farm biosecurity, surveillance schemes and reduce spread through animal trading. This paper describes a quantitative approach to develop risk scores, based on the probability of infection in a herd with bovine tuberculosis (bTB), to be used in a risk-based trading (RBT) scheme in England and Wales. To produce a practical scoring system the risk factors included need to be simple and quick to understand, sufficiently informative and derived from centralised national databases to enable verification and assess compliance. A logistic regression identified herd history of bTB, local bTB prevalence, herd size and movements of animals onto farms in batches from high risk areas as being significantly associated with the probability of bTB infection on farm. Risk factors were assigned points using the estimated odds ratios to weight them. The farm risk score was defined as the sum of these individual points yielding a range from 1 to 5 and was calculated for each cattle farm that was trading animals in England and Wales at the start of a year. Within 12 months, of those farms tested, 30.3% of score 5 farms had a breakdown (sensitivity). Of farms scoring 1-4 only 5.4% incurred a breakdown (1-specificity). The use of this risk scoring system within RBT has the potential to reduce infected cattle movements; however, there are cost implications in ensuring that the information underpinning any system is accurate and up to date. PMID:26678120

  17. A Point-Scoring System for the Clinical Diagnosis of Sjögren's Syndrome Based on Quantified SPECT Imaging of Salivary Gland

    PubMed Central

    Chen, Jing; Zhao, Xia; Liu, Haixia; Zhou, Sheng; Yang, Yunqiang; Li, Shouxin; Xianyu, Zhiqun; Han, Yunfeng; Shen, Guifen; Li, Jinming; Ye, Cong; Sun, Wei; Dong, Lingli

    2016-01-01

    Objective To establish a point-scoring diagnostic system for Sjögren's syndrome (SS) based on quantified SPECT imaging of salivary gland, and evaluate its feasibility and performance compared with 2002 AECG criteria and 2012 ACR criteria. Methods 213 patients with suspected SS enrolled in this study. The related clinical data of all patients were collected. All patients were evaluated and grouped on a clinical basis and posttreatment follow-up by rheumatology specialists as the unified standard (SS group with 149 cases and nSS group with 64 cases). From SPECT imaging of salivary gland, Tmax, UImax, Ts and EFs were derived for bilateral parotid and submandibular glands, and compared between the groups. A point-scoring diagnostic system for SS was established based on the quantified SPECT imaging of salivary gland. We estimated the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy for the new diagnostic system, compared with 2002 AECG criteria and 2012 ACR criteria. Results When 7.0 was used as the cut-off point, the sensitivity, specificity, PPV, NPV and accuracy for the new point-scoring system in diagnosing SS were 89.93% (134/149), 93.75% (60/64), 97.10% (134/138), 80.00% (60/75) and 91.08% (194/213), respectively. The new point-scoring diagnostic system based on quantified SPECT imaging of salivary gland keeps the specificity comparatively to 2002 AECG criteria and 2012 ACR criteria, but improves the sensitivity significantly (P<0.01). Conclusion The new point-scoring diagnostic system for SS based on quantified SPECT imaging of salivary gland may be superior to 2002 AECG criteria and 2012 ACR criteria, with higher sensitivity and similar specificity in the diagnosis of SS. Additionally, it also has good feasibility in the clinical settings. PMID:27195488

  18. High Scores but Low Skills

    ERIC Educational Resources Information Center

    Liu, Liqun; Neilson, William S.

    2011-01-01

    In this paper college admissions are based on test scores and students can exert two types of effort: real learning and exam preparation. The former improves skills but the latter is more effective in raising test scores. In this setting the students with the lowest skills are no longer the ones with the lowest aptitude, but instead are the ones…

  19. My Favorite American Monument. Kindergarten Activity. Schools of California Online Resources for Education (SCORE): Connecting California's Classrooms to the World.

    ERIC Educational Resources Information Center

    Pardes, Lupita

    For this kindergarten classroom activity, students are asked to pretend they have just won a trip to four historical sites: (1) Lincoln Memorial; (2) Mount Rushmore; (3) White House; and (4) Statue of Liberty. The activity instructs the students to keep a journal of the trip (taken via the Internet) so that a presentation can be given to the class…

  20. Rocks: A Concrete Activity That Introduces Normal Distribution, Sampling Error, Central Limit Theorem and True Score Theory

    ERIC Educational Resources Information Center

    Van Duzer, Eric

    2011-01-01

    This report introduces a short, hands-on activity that addresses a key challenge in teaching quantitative methods to students who lack confidence or experience with statistical analysis. Used near the beginning of the course, this activity helps students develop an intuitive insight regarding a number of abstract concepts which are key to…

  1. Growth of Islam. Seventh Grade Activity. Schools of California Online Resources for Education (SCORE): Connecting California's Classrooms to the World.

    ERIC Educational Resources Information Center

    Houson, Judy

    This seventh grade activity asks students to gather data that will help them understand and appreciate the Islamic way of life and to learn to feel comfortable living with a Muslim family in Syria during the second semester of the school year. The activity states each student will be interviewed by a Fulbright official, expected to keep a…

  2. How Much Structuring Is Beneficial with Regard to Examination Scores? A Prospective Study of Three Forms of Active Learning

    ERIC Educational Resources Information Center

    Reinhardt, Claus H.; Rosen, Evelyne N.

    2012-01-01

    Many studies have demonstrated a superiority of active learning forms compared with traditional lecture. However, there is still debate as to what degree structuring is necessary with regard to high exam outcomes. Seventy-five students from a premedical school were randomly attributed to an active lecture group, a cooperative group, or a…

  3. Let's Go! Kindergarten Activity. Schools of California Online Resources for Education (SCORE): Connecting California's Classrooms to the World.

    ERIC Educational Resources Information Center

    Kiesner, Eileen

    In this colorfully illustrated kindergarten activity, students read (and re-read) "My Blue Suitcase" (Sharon Katz), as an introduction to traveling. The book uses all of the basic forms of transportation and forms the transportation lesson outline. The activity gives the students the task of learning about each mode of transportation: land, sea,…

  4. Obsessive–compulsive symptoms in a large population-based twin-family sample are predicted by clinically based polygenic scores and by genome-wide SNPs

    PubMed Central

    den Braber, A; Zilhão, N R; Fedko, I O; Hottenga, J-J; Pool, R; Smit, D J A; Cath, D C; Boomsma, D I

    2016-01-01

    Variation in obsessive–compulsive symptoms (OCS) has a heritable basis, with genetic association studies starting to yield the first suggestive findings. We contribute to insights into the genetic basis of OCS by performing an extensive series of genetic analyses in a homogeneous, population-based sample from the Netherlands. First, phenotypic and genetic longitudinal correlations over a 6-year period were estimated by modeling OCS data from twins and siblings. Second, polygenic risk scores (PRS) for 6931 subjects with genotype and OCS data were calculated based on meta-analysis results from IOCDF-GC, to investigate their predictive value. Third, the contribution of measured single nucleotide polymorphisms (SNPs) to the heritability was estimated using random-effects modeling. Last, we performed an exploratory genome-wide association study (GWAS) of OCS, testing for SNP- and for gene-based associations. Stability in OCS (test–retest correlation 0.63) was mainly explained by genetic stability. The PRS based on clinical samples predicted OCS in our population-based twin-family sample. SNP-based heritability was estimated at 14%. GWAS revealed one SNP (rs8100480), located within the MEF2BNB gene, associated with OCS (P=2.56 × 10−8). Additional gene-based testing resulted in four significantly associated genes, which are located in the same chromosomal region on chromosome 19p13.11: MEF2BNB, RFXANK, MEF2BNB-MEF2B and MEF2B. Thus, common genetic variants explained a significant proportion of OCS trait variation. Genes significantly associated with OCS are expressed in the brain and involved in development and control of immune system functions (RFXANK) and regulation of gene expression of muscle-specific genes (MEF2BNB). MEF2BNB also showed a suggestive association with OCD in an independent case–control study, suggesting a role for this gene in the development of OCS. PMID:26859814

  5. Obsessive-compulsive symptoms in a large population-based twin-family sample are predicted by clinically based polygenic scores and by genome-wide SNPs.

    PubMed

    den Braber, A; Zilhão, N R; Fedko, I O; Hottenga, J-J; Pool, R; Smit, D J A; Cath, D C; Boomsma, D I

    2016-01-01

    Variation in obsessive-compulsive symptoms (OCS) has a heritable basis, with genetic association studies starting to yield the first suggestive findings. We contribute to insights into the genetic basis of OCS by performing an extensive series of genetic analyses in a homogeneous, population-based sample from the Netherlands. First, phenotypic and genetic longitudinal correlations over a 6-year period were estimated by modeling OCS data from twins and siblings. Second, polygenic risk scores (PRS) for 6931 subjects with genotype and OCS data were calculated based on meta-analysis results from IOCDF-GC, to investigate their predictive value. Third, the contribution of measured single nucleotide polymorphisms (SNPs) to the heritability was estimated using random-effects modeling. Last, we performed an exploratory genome-wide association study (GWAS) of OCS, testing for SNP- and for gene-based associations. Stability in OCS (test-retest correlation 0.63) was mainly explained by genetic stability. The PRS based on clinical samples predicted OCS in our population-based twin-family sample. SNP-based heritability was estimated at 14%. GWAS revealed one SNP (rs8100480), located within the MEF2BNB gene, associated with OCS (P=2.56 × 10(-8)). Additional gene-based testing resulted in four significantly associated genes, which are located in the same chromosomal region on chromosome 19p13.11: MEF2BNB, RFXANK, MEF2BNB-MEF2B and MEF2B. Thus, common genetic variants explained a significant proportion of OCS trait variation. Genes significantly associated with OCS are expressed in the brain and involved in development and control of immune system functions (RFXANK) and regulation of gene expression of muscle-specific genes (MEF2BNB). MEF2BNB also showed a suggestive association with OCD in an independent case-control study, suggesting a role for this gene in the development of OCS. PMID:26859814

  6. The effects of police contact on trajectories of violence: a group-based, propensity score matching analysis.

    PubMed

    Ward, Jeffrey T; Krohn, Marvin D; Gibson, Chris L

    2014-02-01

    This study uses a life course framework to investigate how police contacts may serve as a potential turning point in a violent crime trajectory. Drawing on the central ideas from deterrence and labeling theories, we determine whether individuals on different violent offending trajectories increase or decrease their offending following a police contact. Analyzing nine waves of data from the Rochester Youth Development Study, an integrated propensity score matching and latent class growth model was used. First, three violent trajectory groups emerged including high offenders, non-offenders, and low offenders. Second, after accounting for selection bias using propensity score matching procedures, experiencing a police contact increased the likelihood of future violent offending for the entire sample and for those who were on a low violent-offending trajectory specifically. These findings are interpreted as partial support for labeling theory. Limitations of the study and directions for future research are discussed. PMID:24142447

  7. Impact of structured verbal feedback module in medical education: A questionnaire- and test score-based analysis

    PubMed Central

    Aggarwal, Meenakshi; Singh, Sonia; Sharma, Anu; Singh, Poonam; Bansal, Priya

    2016-01-01

    Introduction: Feedback is a divalent bond between the supplier (teacher) and the recipient (student). The strength of the bond depends on the instructional design of the feedback. Feedback is central to medical education in promoting self-directed learning in students. In the present study, a structured verbal feedback module was prepared, implemented, and evaluated. Methods: The study was done on 280 students from four consecutive batches (2011 to 2014) of the 1st year MBBS students exposed to different types and modes of feedback. Analysis was done using student feedback questionnaire for the perception of students to verbal feedback. Quantitative analysis using post hoc test and ANOVA for the impact of type of feedback (verbal or written) and effect of modes (individual or group) of verbal feedback on test score performance were done. Result: In this study, ≥95% of the students preferred verbal feedback of both positive and negative attributes in student questionnaires. It was observed that verbal feedback sessions made a difference of up to 2–2.4 grade points in the mean score of batch when compared to the written feedback. The initial mean test score (T1) of 2011 + 2012 and 2013 + 2014 was not statistically significant (P = 0.113). But, in all subsequent tests (T2, T3, and T4), there was a statistically significant difference in the mean test scores (P = 0.000). Conclusion: (1) Students prefer verbal one-to-one feedback over written feedback. (2) Verbal feedback changes learning process and causes sustained improvement in learning strategies. PMID:27563592

  8. Evaluating the Consistency of Angoff-Based Cut Scores Using Subsets of Items within a Generalizability Theory Framework

    ERIC Educational Resources Information Center

    Kannan, Priya; Sgammato, Adrienne; Tannenbaum, Richard J.; Katz, Irvin R.

    2015-01-01

    The Angoff method requires experts to view every item on the test and make a probability judgment. This can be time consuming when there are large numbers of items on the test. In this study, a G-theory framework was used to determine if a subset of items can be used to make generalizable cut-score recommendations. Angoff ratings (i.e.,…

  9. Effects of Ankle–Foot Orthoses on Functional Recovery after Stroke: A Propensity Score Analysis Based on Japan Rehabilitation Database

    PubMed Central

    2015-01-01

    Objectives The purpose of the present study was to investigate potential effects of ankle–foot orthoses (AFOs) on the functional recovery of post-acute stroke patients following rehabilitation. Subjects and Methods This study is a retrospective cohort study. Participants were in-hospital stroke patients registered in the Japan Rehabilitation Database between 2005 and 2012. A total of 1862 patients were eligible after applying exclusion criteria. Propensity score analysis was applied to adjust for potential bias and to create two comparable groups. An additional subset analysis focused on Functional Independence Measure (FIM) scores on admission. Results In this sample, 30.7% of 1863 eligible patients were prescribed AFOs. Propensity score matched analysis showed that patients with AFOs had significantly higher scores than those without them for discharge FIM (mean: 91.3 vs 85.8; p=0.02), FIM gain (mean: 28.9 vs 23.5; p<0.001), and FIM efficiency (mean: 0.27 vs 0.22; p<0.001). Inverse probability weighting analysis showed similar results. In the subset analysis, patients with AFOs had significantly higher discharge FIM compared with those without them in the low admission FIM subgroup only. In addition, patients with AFOs performed independent exercise more than those without them (p<0.001). Conclusions These data suggest that stroke survivors may have better functional recovery if they are prescribed an AFO than if they are not prescribed an AFO. The use of AFOs is considered to be a feasible option to improve functional recovery of stroke rehabilitation patients. PMID:25837720

  10. Consumption of Low-Calorie Sweeteners among U.S. Adults Is Associated with Higher Healthy Eating Index (HEI 2005) Scores and More Physical Activity

    PubMed Central

    Drewnowski, Adam; Rehm, Colin D.

    2014-01-01

    The possibility that low-calorie sweeteners (LCS) promote lower quality diets and, therefore, weight gain has been noted as a cause for concern. Data from a representative sample of 22,231 adults were obtained from five cycles of the National Health and Nutrition Examination Survey (1999–2008 NHANES). A single 24-hour recall was used to identify consumers of LCS beverages, foods and tabletop sweeteners. Diet quality was assessed using the Healthy Eating Index 2005 (HEI 2005) and its multiple subscores. Health behaviors of interest were physical activity, smoking and alcohol use. LCS consumers had higher HEI 2005 scores than did non-consumers, largely explained by better SoFAAS subscores (solid fats, added sugar and alcohol). LCS consumers had better HEI subscores for vegetables, whole grains and low-fat dairy, but worse subscores for saturated fat and sodium compared to non-consumers. Similar trends were observed for LCS beverages, tabletop LCS and LCS foods. Consumers of LCS were less likely to smoke and were more likely to engage in recreational physical activity. LCS use was associated with higher HEI 2005 scores, lower consumption of empty calories, less smoking and more physical activity. PMID:25329967

  11. Visual scoring of non-cavitated caries lesions and clinical trial efficiency, testing xylitol in caries active adults

    PubMed Central

    Brown, JP; Amaechi, BT; Bader, JD; Gilbert, GH; Makhija, SK; Lozano-Pineda, J; Leo, MC; Chuhe, C; Vollmer, WM

    2013-01-01

    Objectives To better understand the effectiveness of xylitol in caries prevention in adults, and to attempt improved clinical trial efficiency. Methods As part of the Xylitol for Adult Caries Trial (X-ACT), non-cavitated and cavitated caries lesions were assessed in subjects who were experiencing the disease. The trial was a test of the effectiveness of 5 grams/day of xylitol, consumed by dissolving in the mouth five 1 gram lozenges spaced across each day, compared with a sucralose placebo. For this analysis, seeking trial efficiency, 538 subjects aged 21–80, with complete data for four dental examinations were selected from the 691 randomized into the three year trial, conducted at three sites. Acceptable inter and intra examiner reliability before and during the trial was quantified using the kappa statistic. Results The mean annualized non-cavitated plus cavitated lesion transition scores in coronal and root surfaces, from sound to carious favoured xylitol over placebo, during the three cumulative periods of 12, 24, and 33 months, but these clinically and statistically non-significant differences declined in magnitude over time. Restricting the present assessment to those subjects with a higher baseline lifetime caries experience showed possible but inconsistent benefit. Conclusions There was no clear and clinically relevant preventive effect of xylitol on caries in adults with adequate fluoride exposure when non-cavitated plus cavitated lesions were assessed. This conformed to the X-ACT trial result assessing cavitated lesions. Including non-cavitated lesion assessment in this full scale, placebo controlled, multi site, randomized, double blinded clinical trial in adults experiencing dental caries, did not achieve added trial efficiency or demonstrate practical benefit of xylitol. Trial Registration ClinicalTrials.Gov NCT00393055 PMID:24205951

  12. Post-docking virtual screening of diverse binding pockets: comparative study using DOCK, AMMOS, X-Score and FRED scoring functions.

    PubMed

    Pencheva, Tania; Soumana, Oumarou Samna; Pajeva, Ilza; Miteva, Maria A

    2010-06-01

    Most of the benchmark studies on docking-scoring methods reported in the last decade conclude that no single scoring function performs well across different protein targets. In this study a comparison of thirteen commonly used force field and empirical scoring functions as implemented in DOCK, AMMOS, X-Score and FRED is carried out on five proteins with diverse binding pockets. The performance is analyzed in relation to the physicochemical properties of the binding sites. The solvation effects are considered via the Generalized Born/Surface Area (GBSA) solvation method for one of the assessed scoring functions. We examined the ability of these scoring functions to discriminate between active and inactive compounds over receptor-based focused libraries. Our results demonstrated that the employed here empirical scoring functions were more appropriate for the pocket of predominant hydrophobic nature while the force field scoring functions performed better on the mixed or polar pockets. PMID:20227800

  13. Predictors of Intravesical Recurrence After Radical Nephroureterectomy for Upper Urinary Tract Urothelial Carcinoma: An Inflammation-Based Prognostic Score

    PubMed Central

    Cho, Yang Hyun; Seo, Young Ho; Chung, Seung Jun; Hwang, Insang; Yu, Ho Song; Kim, Sun-Ouck; Jung, Seung Il; Kang, Taek Won; Kwon, Dong Deuk; Park, Kwangsung; Hwang, Jun Eul; Heo, Suk Hee; Kim, Geun Soo

    2014-01-01

    Purpose Systemic inflammatory responses, which are defined in terms of the Glasgow prognostic score (GPS), have been reported to be independent predictors of unfavorable outcomes in various human cancers. We assessed the utility of the GPS as a predictor of intravesical recurrence after radical nephroureterectomy (RNU) in upper urinary tract carcinoma (UTUC). Materials and Methods We collected data for 147 UTUC patients with no previous history of bladder cancer who underwent RNU from 2004 to 2012. Associations between perioperative clinicopathological variables and intravesical recurrence were analyzed by using univariate and multivariate Cox regression models. Results Overall, 71 of 147 patients (48%) developed intravesical recurrence, including 21 patients (30%) diagnosed with synchronous bladder tumor. In the univariate analysis, performance status, diabetes mellitus (DM), serum albumin, C-reactive protein, GPS, and synchronous bladder tumor were associated with intravesical recurrence. In the multivariate analysis, performance status (hazard ratio [HR], 2.33; 95% confidence interval [CI], 1.41-3.85; p=0.001), DM (HR, 2.04; 95% CI, 1.21-3.41; p=0.007), cortical thinning (HR, 2.01; 95% CI, 1.08-3.71; p=0.026), and GPS (score of 1: HR, 6.86; 95% CI, 3.69-12.7; p=0.001; score of 2: HR, 5.96; 95% CI, 3.10-11.4; p=0.001) were independent predictors of intravesical recurrence. Conclusions Our results suggest that the GPS as well as performance status, DM, and cortical thinning are associated with intravesical recurrence after RNU. Thus, more careful follow-up, coupled with postoperative intravesical therapy to avoid bladder recurrence, should be considered in these patients. PMID:25045443

  14. Using activity-based costing in surgery.

    PubMed

    Grandlich, Cheryl

    2004-01-01

    ACTIVITY-BASED COSTING is an accounting technique that allows organizations to determine actual costs associated with their services based on the resources they consume. THIS TECHNIQUE can be used in a variety of ways, including targeting high-cost activities, forecasting financial baselines, and supporting resource allocation. FOUR STEPS should be followed when applying activity-based costing to surgical procedures. THIS ARTICLE explores how Froedtert Memorial Lutheran Hospital, Milwaukee, used activity-based costing. PMID:14763586

  15. Physical activity assessed with three different methods and the Framingham Risk Score on 10-year coronary heart disease risk

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Physical activity (PA) protects against coronary heart disease (CHD) by favorably altering several CHD risk factors. In order to best understand the true nature of the relationship between PA and CHD, the impact different PA assessment methods have on the relationships must first be clarified. The p...

  16. Score level fusion scheme based on adaptive local Gabor features for face-iris-fingerprint multimodal biometric

    NASA Astrophysics Data System (ADS)

    He, Fei; Liu, Yuanning; Zhu, Xiaodong; Huang, Chun; Han, Ye; Chen, Ying

    2014-05-01

    A multimodal biometric system has been considered a promising technique to overcome the defects of unimodal biometric systems. We have introduced a fusion scheme to gain a better understanding and fusion method for a face-iris-fingerprint multimodal biometric system. In our case, we use particle swarm optimization to train a set of adaptive Gabor filters in order to achieve the proper Gabor basic functions for each modality. For a closer analysis of texture information, two different local Gabor features for each modality are produced by the corresponding Gabor coefficients. Next, all matching scores of the two Gabor features for each modality are projected to a single-scalar score via a trained, supported, vector regression model for a final decision. A large-scale dataset is formed to validate the proposed scheme using the Facial Recognition Technology database-fafb and CASIA-V3-Interval together with FVC2004-DB2a datasets. The experimental results demonstrate that as well as achieving further powerful local Gabor features of multimodalities and obtaining better recognition performance by their fusion strategy, our architecture also outperforms some state-of-the-art individual methods and other fusion approaches for face-iris-fingerprint multimodal biometric systems.

  17. Propensity Score-Based Approaches to Confounding by Indication in Individual Patient Data Meta-Analysis: Non-Standardized Treatment for Multidrug Resistant Tuberculosis

    PubMed Central

    Fox, Gregory J.; Benedetti, Andrea; Mitnick, Carole D.; Pai, Madhukar; Menzies, Dick

    2016-01-01

    Background In the absence of randomized clinical trials, meta-analysis of individual patient data (IPD) from observational studies may provide the most accurate effect estimates for an intervention. However, confounding by indication remains an important concern that can be addressed by incorporating individual patient covariates in different ways. We compared different analytic approaches to account for confounding in IPD from patients treated for multi-drug resistant tuberculosis (MDR-TB). Methods Two antibiotic classes were evaluated, fluoroquinolones—considered the cornerstone of effective MDR-TB treatment—and macrolides, which are known to be safe, yet are ineffective in vitro. The primary outcome was treatment success against treatment failure, relapse or death. Effect estimates were obtained using multivariable and propensity-score based approaches. Results Fluoroquinolone antibiotics were used in 28 included studies, within which 6,612 patients received a fluoroquinolone and 723 patients did not. Macrolides were used in 15 included studies, within which 459 patients received this class of antibiotics and 3,670 did not. Both standard multivariable regression and propensity score-based methods resulted in similar effect estimates for early and late generation fluoroquinolones, while macrolide antibiotics use was associated with reduced treatment success. Conclusions In this individual patient data meta-analysis, standard multivariable and propensity-score based methods of adjusting for individual patient covariates for observational studies yielded produced similar effect estimates. Even when adjustment is made for potential confounding, interpretation of adjusted estimates must still consider the potential for residual bias. PMID:27022741

  18. Initial dosing regimen of vancomycin to achieve early therapeutic plasma concentration in critically ill patients with MRSA infection based on APACHE II score.

    PubMed

    Imaura, Masaharu; Yokoyama, Haruko; Kohata, Yuji; Kanai, Riichiro; Kohyama, Tomoki; Idemitsu, Wataru; Maki, Yuichi; Igarashi, Takashi; Takahashi, Hiroyuki; Kanno, Hiroshi; Yamada, Yasuhiko

    2016-06-01

    It is essential to assure the efficacy of antimicrobials at the initial phase of therapy. However, increasing the volume of distribution (Vd) of hydrophilic antimicrobials in critically ill patients leads to reduced antimicrobial concentration in plasma and tissue, which may adversely affect the efficacy of that therapy. The aim of the present study was to establish a theoretical methodology for setting an appropriate level for initial vancomycin therapy in individual patients based on Acute Physiology and Chronic Health Evaluation (APACHE) II score. We obtained data from patients who received intravenous vancomycin for a suspected or definitively diagnosed Gram-positive bacterial infection within 72 h after admission to the intensive care unit. The Vd and elimination half-life (t 1/2) of vancomycin values were calculated using the Bayesian method, and we investigated the relationship between them and APACHE II score. There were significant correlations between APACHE II scores and Vd/actual body weight (ABW), as well as t 1/2 (r = 0.58, p < 0.05 and r = 0.74, p < 0.01, respectively). Our results suggested that the Vd and t 1/2 of vancomycin could be estimated using the following regression equations using APACHE II score.[Formula: see text] [Formula: see text]We found that APACHE II score was a useful index for predicting the Vd and t 1/2 of vancomycin, and used that to establish an initial vancomycin dosing regimen comprised of initial dose and administration interval for individual patients. PMID:25502612

  19. Elevated high-mobility group B1 levels in active adult-onset Still's disease associated with systemic score and skin rash.

    PubMed

    Jung, Ju-Yang; Suh, Chang-Hee; Sohn, Seonghyang; Nam, Jin-Young; Kim, Hyoun-Ah

    2016-08-01

    High-mobility group box-1 (HMGB1) is a nuclear protein, and such prototypical damage-associated molecular patterns mediate the immune response in the noninfectious inflammatory response. Adult-onset Still's disease (AOSD) is a systemic inflammatory disorder involved in the dysregulation of innate immunity. We investigated the serum HMGB1 level in patients with AOSD and evaluated its clinical significance. Blood samples were collected from 40 patients with active AOSD and 40 healthy controls (HC). Of the patients with AOSD, follow-up samples were collected from 16 patients after a resolution of AOSD disease activity. Serum HMGB1 levels in patients with AOSD were higher than those of the HC (10.0 ± 5.85 vs. 5.15 ± 1.79 ng/mL, p < 0.001). Serum HMGB1 levels were found to be correlated with C-reactive protein (CRP) and the systemic score. The AOSD patient who had a sore throat showed a higher serum HMGB1 level than those patients who did not, and the patient with a skin rash had higher levels than the patients without. In addition, the serum HMGB1 levels were decreased after the resolution of disease activity in the AOSD patients who were followed up. The serum HMGB1 levels were elevated in AOSD patients compared to the HC and were correlated with both CRP and the systemic score. The HMGB1 levels were associated with skin rash and a sore throat in AOSD patients. After the resolution of disease activity, serum HMGB1 levels were found to have decreased. PMID:27225247

  20. In early returns scoring scores big.

    PubMed

    Butman, Samuel M

    2016-07-01

    A scoring or cutting balloon is always useful in preventing slippage during therapy of in-stent restenosis. A drug-coated scoring balloon for in-stent restenosis may be an alternative to a drug-coated balloon Definitive comparison trials are needed and likely to help define their exact role in patients with in-stent restenosis. PMID:27400636

  1. Scoring function for DNA-drug docking of anticancer and antiparasitic compounds based on spectral moments of 2D lattice graphs for molecular dynamics trajectories.

    PubMed

    Pérez-Montoto, Lázaro G; Santana, Lourdes; González-Díaz, Humberto

    2009-11-01

    We introduce here a new class of invariants for MD trajectories based on the spectral moments pi(k)(L) of the Markov matrix associated to lattice network-like (LN) graph representations of Molecular Dynamics (MD) trajectories. The procedure embeds the MD energy profiles on a 2D Cartesian coordinates system using simple heuristic rules. At the same time, we associate the LN with a Markov matrix that describes the probabilities of passing from one state to other in the new 2D space. We construct this type of LNs for 422 MD trajectories obtained in DNA-drug docking experiments of 57 furocoumarins. The combined use of psoralens+ultraviolet light (UVA) radiation is known as PUVA therapy. PUVA is effective in the treatment of skin diseases such as psoriasis and mycosis fungoides. PUVA is also useful to treat human platelet (PTL) concentrates in order to eliminate Leishmania spp. and Trypanosoma cruzi. Both are parasites that cause Leishmaniosis (a dangerous skin and visceral disease) and Chagas disease, respectively; and may circulate in blood products collected from infected donors. We included in this study both lineal (psoralens) and angular (angelicins) furocoumarins. In the study, we grouped the LNs on two sets; set1: DNA-drug complex MD trajectories for active compounds and set2: MD trajectories of non-active compounds or no-optimal MD trajectories of active compounds. We calculated the respective pi(k)(L) values for all these LNs and used them as inputs to train a new classifier that discriminate set1 from set2 cases. In training series the model correctly classifies 79 out of 80 (specificity=98.75%) set1 and 226 out of 238 (Sensitivity=94.96%) set2 trajectories. In independent validation series the model correctly classifies 26 out of 26 (specificity=100%) set1 and 75 out of 78 (sensitivity=96.15%) set2 trajectories. We propose this new model as a scoring function to guide DNA-docking studies in the drug design of new coumarins for anticancer or antiparasitic

  2. Greater Independence in Activities of Daily Living is Associated with Higher Health-Related Quality of Life Scores in Nursing Home Residents with Dementia

    PubMed Central

    Chan, Charice S.; Slaughter, Susan E.; Jones, C. Allyson; Wagg, Adrian S.

    2015-01-01

    Health-related quality of life (HRQL) for nursing home residents is important, however, the concept of quality of life is broad, encompasses many domains and is difficult to assess in people with dementia. Basic activities of daily living (ADL) are measured routinely in nursing homes using the Resident Assessment Instrument-Minimum Data Set Version 2.0 (RAI-MDS) and Functional Independence Measure (FIM) instrument. We examined the relationship between HRQL and ADL to assess the future possibility of ADL dependency level serving as a surrogate measure of HRQL in residents with dementia. To assess ADL, measures derived from the RAI-MDS and FIM data were gathered for 111 residents at the beginning of our study and at 6-month follow-up. Higher scores for independence in ADL were correlated with higher scores for a disease-specific HRQL measure, the Quality of Life—Alzheimer’s Disease Scale. Preliminary evidence suggests that FIM-assessed ADL is associated with HRQL for these residents. The associations of the dressing and toileting items with HRQL were particularly strong. This finding suggests the importance of ADL function in HRQL. The RAI-MDS ADL scales should be used with caution to evaluate HRQL.

  3. Randomization to plant-based dietary approaches leads to larger short-term improvements in Dietary Inflammatory Index scores and macronutrient intake compared with diets that contain meat.

    PubMed

    Turner-McGrievy, Gabrielle M; Wirth, Michael D; Shivappa, Nitin; Wingard, Ellen E; Fayad, Raja; Wilcox, Sara; Frongillo, Edward A; Hébert, James R

    2015-02-01

    Studies have examined nutrient differences among people following different plant-based diets. However, all of these studies have been observational. The aim of the present study was to examine differences in nutrient intake and Dietary Inflammatory Index (DII) scores among overweight and obese (body mass index 25.0-49.9 kg/m(2)) adults randomized to receive dietary instruction on a vegan (n = 12), vegetarian (n = 13), pescovegetarian (n = 13), semivegetarian (n = 13), or omnivorous (n = 12) diet during a 6-month randomized controlled trial. Nutrient intake, nutrient adequacy, and DII score were assessed via two 24-hour dietary recalls (Automated Self-Administered 24-Hour Dietary Recall) at baseline and at 2 and 6 months. Differences in nutrient intake and the DII were examined using general linear models with follow-up tests at each time point. We hypothesized that individuals randomized to the vegan diet would have lower DII scores and greater improvements in fiber, carbohydrate, fat, saturated fat, and cholesterol at both 2 and 6 months as compared with the other 4 diets. Participants randomized to the vegan diet had significantly greater changes in most macronutrients at both time points, including fat and saturated fat, as well as cholesterol and, at 2 months, fiber, as compared with most of the other diet groups (Ps < .05). Vegan, vegetarian, and pescovegetarian participants all saw significant improvements in the DII score as compared with semivegetarian participants at 2 months (Ps < .05) with no differences at 6 months. Given the greater impact on macronutrients and the DII during the short term, finding ways to provide support for adoption and maintenance of plant-based dietary approaches, such as vegan and vegetarian diets, should be given consideration. PMID:25532675

  4. Characteristics and Behavioral Outcomes for Youth in Group Care and Family-Based Care: A Propensity Score Matching Approach Using National Data

    PubMed Central

    James, Sigrid; Roesch, Scott; Zhang, Jin Jin

    2013-01-01

    This study aimed to answer two questions: (a) Given expected differences in children who are placed in group care compared to those in family-based settings, is it possible to match children on baseline characteristics? (b) Are there differences in behavioral outcomes for youth with episodes in group care versus those in family-based care? Using data from the National Survey of Child and Adolescent Well-Being, the study sample included 1,191 children with episodes in out-of-home care (n = 254 youth with group care episodes; n = 937 youth with episodes in family-based care and no group care). Conditioning variables were identified, which distinguished between the two groups of youth. Using propensity score matching, all youth placed into group care were matched on the propensity score with family-based care youth. Behavioral outcomes at 36 months, as measured by the Child Behavior Checklist, were compared for the matched sample. Of the total 254 youth with group care episodes, 157 could be matched to youth with episodes in family-based care. No significant differences remained between the two groups in the matched sample, and findings revealed no significant differences in longitudinal behavioral outcomes. PMID:24273403

  5. A clinical prognostic scoring system for resectable gastric cancer to predict survival and benefit from paclitaxel- or oxaliplatin-based adjuvant chemotherapy

    PubMed Central

    Qian, Jing; Qian, Yingying; Wang, Jian; Gu, Bing; Pei, Dong; He, Shaohua; Zhu, Fang; Røe, Oluf Dimitri; Xu, Jin; Liu, Lianke; Gu, Yanhong; Guo, Renhua; Yin, Yongmei; Shu, Yongqian; Chen, Xiaofeng

    2016-01-01

    Background Gastrectomy with D2 lymphadenectomy is a standard procedure of curative resection for gastric cancer (GC). The aim of this study was to develop a simple and reliable prognostic scoring system for GC treated with D2 gastrectomy combined with adjuvant chemotherapy. Methods A prognostic scoring system was established based on clinical and laboratory data from 579 patients with localized GC without distant metastasis treated with D2 gastrectomy and adjuvant chemotherapy. Results From the multivariate model for overall survival (OS), five factors were selected for the scoring system: ≥50% metastatic lymph node rate, positive lymphovascular invasion, pathologic TNM Stage II or III, ≥5 ng/mL preoperative carcinoembryonic antigen level, and <110 g/L preoperative hemoglobin. Two models were derived using different methods. Model A identified low- and high-risk patients for OS (P<0.001), while Model B differentiated low-, intermediate-, and high-risk patients for OS (P<0.001). Stage III patients in the low-risk group had higher survival probabilities than Stage II patients. Both Model A (area under the curve [AUC]: 0.74, 95% confidence interval [CI]: 0.69–0.78) and Model B (AUC: 0.79, 95% CI: 0.72–0.83) were better predictors compared with the pathologic TNM classification (AUC: 0.62, 95% CI: 0.59–0.71, P<0.001). Adjuvant paclitaxel- or oxaliplatin-based or triple chemotherapy showed significantly better outcomes in patients classified as high risk, but not in those with low and intermediate risk. Conclusion A clinical three-tier prognostic risk scoring system was established to predict OS of GC treated with D2 gastrectomy and adjuvant chemotherapy. The potential advantage of this scoring system is that it can identify high-risk patients in Stage II or III who may benefit from paclitaxel- or oxaliplatin-based regimens. Prospective studies are needed to confirm these results before they are applied clinically. PMID:26966350

  6. Are the Best Scores the Best Scores for Predicting College Success?

    ERIC Educational Resources Information Center

    Patterson, Brian F.; Mattern, Krista D.; Swerdzewski, Peter

    2012-01-01

    The College Board's SAT[R] Score Choice[TM] policy allows students to choose which set(s) of scores to send to colleges and universities to which they plan to apply. Based on data gathered before the implementation of that policy, the following study evaluated the predictive validity of the various sets of SAT scores. The value of five score sets…

  7. Activity Based Curriculum for Elementary Education. Additional Activities, K-6.

    ERIC Educational Resources Information Center

    Wichita Public Schools, KS.

    This elementary curriculum is a vehicle to provide manipulative activities that reinforce academic skills through meaningful, relevant, activity-based awareness of modern society. The twenty-six activity plans included in the curriculum place a major emphasis upon realistic or concrete experiences that deal with the manipulation and exploration of…

  8. Regression-Based Norms for a Bi-factor Model for Scoring the Brief Test of Adult Cognition by Telephone (BTACT)

    PubMed Central

    Gurnani, Ashita S.; John, Samantha E.; Gavett, Brandon E.

    2015-01-01

    The current study developed regression-based normative adjustments for a bi-factor model of the The Brief Test of Adult Cognition by Telephone (BTACT). Archival data from the Midlife Development in the United States-II Cognitive Project were used to develop eight separate linear regression models that predicted bi-factor BTACT scores, accounting for age, education, gender, and occupation-alone and in various combinations. All regression models provided statistically significant fit to the data. A three-predictor regression model fit best and accounted for 32.8% of the variance in the global bi-factor BTACT score. The fit of the regression models was not improved by gender. Eight different regression models are presented to allow the user flexibility in applying demographic corrections to the bi-factor BTACT scores. Occupation corrections, while not widely used, may provide useful demographic adjustments for adult populations or for those individuals who have attained an occupational status not commensurate with expected educational attainment. PMID:25724515

  9. Population-Based Questionnaire Survey on Health Effects of Aircraft Noise on Residents Living around U.S. Airfields in the RYUKYUS—PART II: AN Analysis of the Discriminant Score and the Factor Score

    NASA Astrophysics Data System (ADS)

    HIRAMATSU, K.; MATSUI, T.; MIYAKITA, T.; ITO, A.; TOKUYAMA, T.; OSADA, Y.; YAMAMOTO, T.

    2002-02-01

    Discriminant function values of psychosomatics and neurosis are calculated using the 12 scale scores of the Todai Health Index, a general health questionnaire, obtained in the survey done around the Kadena and Futenma U.S. airfields in Okinawa, Japan. The total number of answers available for the analysis is 6301. Factor analysis is applied to the 12 scale scores by means of the principal factor method, and Oblimin rotation is done because the factors extracted are considered likely to correlate with each other to a greater or lesser extent. The logistic regression analysis is made with the independent variables of discriminant function (DF) values and factor scores and with the dependent variables of Ldn, age (six levels), sex, occupation (four categories) and the interaction of age and sex. Results indicate that the odds ratio of the DF values regarding psychosomatic disorder and of the score of somatic factor have clear dose-response relationship. The odds ratios of the DF value of neurosis and of the score of the mental factor increase in the area where noise exposure is very intense.

  10. ‘Errors’ and omissions in paper-based early warning scores: the association with changes in vital signs—a database analysis

    PubMed Central

    Clifton, David A; Clifton, Lei; Sandu, Dona-Maria; Smith, G B; Tarassenko, Lionel; Vollam, Sarah A; Watkinson, Peter J

    2015-01-01

    Objectives To understand factors associated with errors using an established paper-based early warning score (EWS) system. We investigated the types of error, where they are most likely to occur, and whether ‘errors’ can predict subsequent changes in patient vital signs. Methods Retrospective analysis of prospectively collected early warning system database from a single large UK teaching hospital. Results 16 795 observation sets, from 200 postsurgical patients, were collected. Incomplete observation sets were more likely to contain observations which should have led to an alert than complete observation sets (15.1% vs 7.6%, p<0.001), but less likely to have an alerting score correctly calculated (38.8% vs 30.0%, p<0.001). Mis-scoring was much more common when leaving a sequence of three or more consecutive observation sets with aggregate scores of 0 (55.3%) than within the sequence (3.0%, p<0.001). Observation sets that ‘incorrectly’ alerted were more frequently followed by a correctly alerting observation set than error-free non-alerting observation sets (14.7% vs 4.2%, p<0.001). Observation sets that ‘incorrectly’ did not alert were more frequently followed by an observation set that did not alert than error-free alerting observation sets (73.2% vs 45.8%, p<0.001). Conclusions Missed alerts are particularly common in incomplete observation sets and when a patient first becomes unstable. Observation sets that ‘incorrectly’ alert or ‘incorrectly’ do not alert are highly predictive of the next observation set, suggesting that clinical staff detect both deterioration and improvement in advance of the EWS system by using information not currently encoded within it. Work is urgently needed to understand how best to capture this information. PMID:26141302

  11. Single-sample expression-based chemo-sensitivity score improves survival associations independently from genomic mutations for ovarian cancer Patients.

    PubMed

    Zimmermann, Michael T; Jiang, Guoqian; Wang, Chen

    2016-01-01

    Platinum-based chemotherapies are first-line treatments for ovarian cancer (OC) patients. Although chemotherapy has a high initial response rate, some patients exhibit inherent chemo-resistance. With advancements of molecular and genomic profiling, it is of high interest to identify molecular and genomic signatures predictive of chemo- sensitivity priori to treatment initiation in order to better personalize care decisions. Previous efforts have made use of mRNA expression levels of selected genes responsible for repairing DNA damage, under the hypothesis that chemo efficacy is associated with their proficiency. However, the resulting scores have been difficult to interpret. In this study, we designed a single-sample based approach known as eCARD to investigate chemo-sensitivity in ovarian cancer patients from The Cancer Genome Atlas. We demonstrated that the proposed single-sample based approach can lead to a molecular-based chemo-sensitivity score predictive of prognosis, which validates in 5 independent cohorts, and associates with increasing mutation burden and likelihood of BRCA1/2 mutation. PMID:27570657

  12. Who Is Worst Off? Developing a Severity-scoring Model of Complex Emergency Affected Countries in Order to Ensure Needs Based Funding

    PubMed Central

    Eriksson, Anneli; Ohlsén, Ylva Kristina; Garfield, Richard; von Schreeb, Johan

    2015-01-01

    Background: Disasters affect close to 400 million people each year. Complex Emergencies (CE) are a category of disaster that affects nearly half of the 400 million and often last for several years. To support the people affected by CE, humanitarian assistance is provided with the aim of saving lives and alleviating suffering. It is widely agreed that funding for this assistance should be needs-based. However, to date, there is no model or set of indicators that quantify and compare needs from one CE to another. In an effort to support needs-based and transparent funding of humanitarian assistance, the aim of this study is to develop a model that distinguishes between levels of severity among countries affected by CE. Methods: In this study, severity serves as a predictor for level of need. The study focuses on two components of severity: vulnerability and exposure. In a literature and Internet search we identified indicators that characterize vulnerability and exposure to CE. Among the more than 100 indicators identified, a core set of six was selected in an expert ratings exercise. Selection was made based on indicator availability and their ability to characterize preexisting or underlying vulnerabilities (four indicators) or to quantify exposure to a CE (two indicators). CE from 50 countries were then scored using a 3-tiered score (Low-Moderate, High, Critical).  Results: The developed model builds on the logic of the Utstein template. It scores severity based on the readily available value of four vulnerability and four exposure indicators. These are 1) GNI per capita, PPP, 2) Under-five mortality rate, per 1 000 live births, 3) Adult literacy rate, % of people ages 15 and above, 4) Underweight, % of population under 5 years, and 5) number of persons and proportion of population affected, and 6) number of uprooted persons and proportion of population uprooted. Conclusion: The model can be used to derive support for transparent, needs-based funding of

  13. Predicting Outcome after Traumatic Brain Injury: Development of Prognostic Scores Based on the IMPACT and the APACHE II

    PubMed Central

    Siironen, Jari; Kivisaari, Riku; Hernesniemi, Juha; Skrifvars, Markus B.

    2014-01-01

    Abstract Prediction models are important tools for heterogeneity adjustment in clinical trials and for the evaluation of quality of delivered care to patients with traumatic brain injury (TBI). We sought to improve the predictive performance of the IMPACT (International Mission for Prognosis and Analysis of Clinical Trials) prognostic model by combining it with the APACHE II (Acute Physiology and Chronic Health Evaluation II) for 6-month outcome prediction in patients with TBI treated in the intensive care unit. A total of 890 patients with TBI admitted to a large urban level 1 trauma center in 2009–2012 comprised the study population. The IMPACT and the APACHE II scores were combined using binary logistic regression. A randomized, split-sample technique with secondary bootstrapping was used for model development and internal validation. Model performance was assessed by discrimination (by area under the curve [AUC]), calibration, precision, and net reclassification improvement (NRI). Overall 6-month mortality was 22% and unfavorable neurological outcome 47%. The predictive power of the new combined IMPACT–APACHE II models was significantly superior, compared to the original IMPACT models (AUC, 0.81–0.82 vs. 0.84–0.85; p<0.05) for 6-month mortality prediction, but not for unfavorable outcome prediction (AUC, 0.81–0.82 vs. 0.83; p>0.05). However, NRI showed a significant improvement in risk stratification of patients with unfavorable outcome by the IMPACT–APACHE II models, compared to the original models (NRI, 5.4–23.2%; p<0.05). Internal validation using split-sample and resample bootstrap techniques yielded equivalent results, indicating low grade of overestimation. Our findings show that by combining the APACHE II with the IMPACT, improved 6-month outcome predictive performance is achieved. This may be applicable for heterogeneity adjustment in forthcoming TBI studies. PMID:24836936

  14. A Genomic Score Prognostic of Outcome in Trauma Patients

    PubMed Central

    Warren, H Shaw; Elson, Constance M; Hayden, Douglas L; Schoenfeld, David A; Cobb, J Perren; Maier, Ronald V; Moldawer, Lyle L; Moore, Ernest E; Harbrecht, Brian G; Pelak, Kimberly; Cuschieri, Joseph; Herndon, David N; Jeschke, Marc G; Finnerty, Celeste C; Brownstein, Bernard H; Hennessy, Laura; Mason, Philip H; Tompkins, Ronald G

    2009-01-01

    Traumatic injuries frequently lead to infection, organ failure, and death. Health care providers rely on several injury scoring systems to quantify the extent of injury and to help predict clinical outcome. Physiological, anatomical, and clinical laboratory analytic scoring systems (Acute Physiology and Chronic Health Evaluation [APACHE], Injury Severity Score [ISS]) are utilized, with limited success, to predict outcome following injury. The recent development of techniques for measuring the expression level of all of a person’s genes simultaneously may make it possible to develop an injury scoring system based on the degree of gene activation. We hypothesized that a peripheral blood leukocyte gene expression score could predict outcome, including multiple organ failure, following severe blunt trauma. To test such a scoring system, we measured gene expression of peripheral blood leukocytes from patients within 12 h of traumatic injury. cRNA derived from whole blood leukocytes obtained within 12 h of injury provided gene expression data for the entire genome that were used to create a composite gene expression score for each patient. Total blood leukocytes were chosen because they are active during inflammation, which is reflective of poor outcome. The gene expression score combines the activation levels of all the genes into a single number which compares the patient’s gene expression to the average gene expression in uninjured volunteers. Expression profiles from healthy volunteers were averaged to create a reference gene expression profile which was used to compute a difference from reference (DFR) score for each patient. This score described the overall genomic response of patients within the first 12 h following severe blunt trauma. Regression models were used to compare the association of the DFR, APACHE, and ISS scores with outcome. We hypothesized that patients with a total gene response more different from uninjured volunteers would tend to have poorer

  15. Smoothing Methods for Estimating Test Score Distributions.

    ERIC Educational Resources Information Center

    Kolen, Michael J.

    1991-01-01

    Estimation/smoothing methods that are flexible enough to fit a wide variety of test score distributions are reviewed: kernel method, strong true-score model-based method, and method that uses polynomial log-linear models. Applications of these methods include describing/comparing test score distributions, estimating norms, and estimating…

  16. 7 CFR 4280.316 - Application scoring.

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... 7 Agriculture 15 2011-01-01 2011-01-01 false Application scoring. 4280.316 Section 4280.316... Program § 4280.316 Application scoring. Applications will be scored based on the criteria specified in this section using only the information submitted in the application. The total available points...

  17. Developing Score Reports for Cognitive Diagnostic Assessments

    ERIC Educational Resources Information Center

    Roberts, Mary Roduta; Gierl, Mark J.

    2010-01-01

    This paper presents a framework to provide a structured approach for developing score reports for cognitive diagnostic assessments ("CDAs"). Guidelines for reporting and presenting diagnostic scores are based on a review of current educational test score reporting practices and literature from the area of information design. A sample diagnostic…

  18. Marketing Education Assessment Guide. Performance-Based Activities with Authentic Assessments Instruments.

    ERIC Educational Resources Information Center

    Everett, Donna R.

    This guide presents performance-based authentic assessment ideas, samples, and suggestions to help marketing teachers and students respond to changes and pressures from outside the classroom. It contains 21 activities, each accompanied by a method of authentic assessment. In most cases, the authentic assessment method is a scoring device. The…

  19. Fingerprinting of music scores

    NASA Astrophysics Data System (ADS)

    Irons, Jonathan; Schmucker, Martin

    2004-06-01

    Publishers of sheet music are generally reluctant in distributing their content via the Internet. Although online sheet music distribution's advantages are numerous the potential risk of Intellectual Property Rights (IPR) infringement, e.g. illegal online distributions, disables any innovation propensity. While active protection techniques only deter external risk factors, additional technology is necessary to adequately treat further risk factors. For several media types including music scores watermarking technology has been developed, which ebeds information in data by suitable data modifications. Furthermore, fingerprinting or perceptual hasing methods have been developed and are being applied especially for audio. These methods allow the identification of content without prior modifications. In this article we motivate the development of watermarking and fingerprinting technologies for sheet music. Outgoing from potential limitations of watermarking methods we explain why fingerprinting methods are important for sheet music and address potential applications. Finally we introduce a condept for fingerprinting of sheet music.

  20. Translation, Validation and Cross-Cultural Adaptation of a Simplified-Chinese Version of the Tegner Activity Score in Chinese Patients with Anterior Cruciate Ligament Injury

    PubMed Central

    Zhang, Dongxia; Jiang, Yanfang; Yang, Jie; Feng, Tao; Gong, Xi; Wang, Jianquan; Ao, Yingfang

    2016-01-01

    Aims To translate the English version of Tegner Activity Score into a Simplified-Chinese version (Tegner-C) and evaluate its psychometric properties. Methods Tegner-C was cross-culturally adapted according to established guidelines. The validity and reliability of Tegner-C were assessed in 78 participants, with 19–20 participants in each of the four groups: before anterior cruciate ligament reconstruction (pre-ACLR) group, 2–3 months after ACLR group, 3–12 months after ACLR group, and healthy control group. Each participant was asked to complete the Tegner-C and Chinese version of International Knee Documentation Committee Subjective Knee Form (IKDC-SKF-C) twice, with an interval of 5±2 days. Intra-class correlation coefficient (ICC2, 1) was used to assess the reliability and Spearman’s rank correlation was used for construct validity. Results The ICC2,1 was higher than 0.90 for all groups except in the pre-ACLR group, for which the ICC2,1 was 0.71 (0.41, 0.87) (All with p<0.001). The absolute reliability as evaluated by the smallest detectable change was 0.43, 2.12, 0.89, and 0.44 for the healthy control group, pre-ACLR group, 2–3 months after ACLR group, and 3–12 months after ACLR group, respectively. Neither a ceiling effect nor a floor effect was observed for any group. Significant difference was observed for both Tegner-C and IKDC-SKF-C scores between the control and the other three groups (all with p<0.001), and between pre-ACLR and the 2–3 months after ACLR group (p<0.001). Conclusions Tegner-C demonstrated comparable psychometric properties to the original English version and thus is reliable and valid for Chinese-speaking patients with ACL injury. PMID:27186880

  1. Data base management systems activities

    NASA Technical Reports Server (NTRS)

    1983-01-01

    The Data Management System-1100 is designed to operate in conjunction with the UNIVAC 1100 Series Operating System on any 1100 Series computer. DMS-1100 is divided into the following four major software components: (1) Data Definition Languages (DDL); (2) Data Management Routine (DMR); (3) Data Manipulation Languages (DML); and (4) Data Base Utilities (DBU). These software components are described in detail.

  2. The Apgar Score.

    PubMed

    2015-10-01

    The Apgar score provides an accepted and convenient method for reporting the status of the newborn infant immediately after birth and the response to resuscitation if needed. The Apgar score alone cannot be considered as evidence of, or a consequence of, asphyxia; does not predict individual neonatal mortality or neurologic outcome; and should not be used for that purpose. An Apgar score assigned during resuscitation is not equivalent to a score assigned to a spontaneously breathing infant. The American Academy of Pediatrics and the American College of Obstetricians and Gynecologists encourage use of an expanded Apgar score reporting form that accounts for concurrent resuscitative interventions. PMID:26416932

  3. Test and Score Data Summary for TOEFL[R] Internet-Based and Paper-Based Tests. January 2008-December 2008 Test Data

    ERIC Educational Resources Information Center

    Educational Testing Service, 2008

    2008-01-01

    The Test of English as a Foreign Language[TM], better known as TOEFL[R], is designed to measure the English-language proficiency of people whose native language is not English. TOEFL scores are accepted by more than 6,000 colleges, universities, and licensing agencies in 130 countries. The test is also used by governments, and scholarship and…

  4. An Auto-Scoring Mechanism for Evaluating Problem-Solving Ability in a Web-Based Learning Environment

    ERIC Educational Resources Information Center

    Chiou, Chuang-Kai; Hwang, Gwo-Jen; Tseng, Judy C. R.

    2009-01-01

    The rapid development of computer and network technologies has attracted researchers to investigate strategies for and the effects of applying information technologies in learning activities; simultaneously, learning environments have been developed to record the learning portfolios of students seeking web information for problem-solving. Although…

  5. Assessment of Disease Activity in Small Bowel Crohn's Disease: Comparison between Endoscopy and Magnetic Resonance Enterography Using MRIA and Modified MRIA Score

    PubMed Central

    Scardapane, Arnaldo; Ambrosi, Annalisa; Salinaro, Emanuela; Mancini, Maria Elisabetta; Principi, Mariabeatrice; Di Leo, Alfredo; Lorusso, Filomenamila; Stabile Ianora, Amato Antonio; Angelelli, Giuseppe

    2015-01-01

    Objectives. To retrospectively compare the results of the MRIA (magnetic resonance index of activity) with a modified MRIA (mMRIA), which was calculated excluding from MRIA formula the data of relative contrast enhancement (RCE). Materials and Methods. MR-E and corresponding endoscopic records of 100 patients were reviewed. MRIA, mMRIA, and SES endoscopic index were calculated for all the patients. Namely, MRIA was calculated as follows: (1.5 × wall thickening + 0.02 × RCE + 5 × intramural edema + 10 × ulcers), while mMRIA was calculated with the modified formula (1.5 × wall thickening + 5 × intramural edema + 10 × ulcers). Results. Mean MRIA and mMRIA values were 19.3 and 17.68, respectively (p < 0.0001). A significant correlation (p < 0.0001) was observed between MRIA and mMRIA scores and between both MR indexes and SES (p < 0.0001). Conclusions. mMRIA was comparable to MRIA in the evaluation of disease activity in Crohn's disease. PMID:26759554

  6. The scoring of movements in sleep.

    PubMed

    Walters, Arthur S; Lavigne, Gilles; Hening, Wayne; Picchietti, Daniel L; Allen, Richard P; Chokroverty, Sudhansu; Kushida, Clete A; Bliwise, Donald L; Mahowald, Mark W; Schenck, Carlos H; Ancoli-Israel, Sonia

    2007-03-15

    The International Classification of Sleep Disorders (ICSD-2) has separated sleep-related movement disorders into simple, repetitive movement disorders (such as periodic limb movements in sleep [PLMS], sleep bruxism, and rhythmic movement disorder) and parasomnias (such as REM sleep behavior disorder and disorders of partial arousal, e.g., sleep walking, confusional arousals, night terrors). Many of the parasomnias are characterized by complex behaviors in sleep that appear purposeful, goal directed and voluntary but are outside the conscious awareness of the individual and therefore inappropriate. All of the sleep-related movement disorders described here have specific polysomnographic findings. For the purposes of developing and/or revising specifications and polysomnographic scoring rules, the AASM Scoring Manual Task Force on Movements in Sleep reviewed background literature and executed evidence grading of 81 relevant articles obtained by a literature search of published articles between 1966 and 2004. Subsequent evidence grading identified limited evidence for reliability and/or validity for polysomnographic scoring criteria for periodic limb movements in sleep, REM sleep behavior disorder, and sleep bruxism. Published scoring criteria for rhythmic movement disorder, excessive fragmentary myoclonus, and hypnagogic foot tremor/alternating leg muscle activation were empirical and based on descriptive studies. The literature review disclosed no published evidence defining clinical consequences of excessive fragmentary myoclonus or hypnagogic foot tremor/alternating leg muscle activation. Because of limited or absent evidence for reliability and/or validity, a standardized RAND/UCLA consensus process was employed for recommendation of specific rules for the scoring of sleep-associated movements. PMID:17557425

  7. 16 CFR Appendix B to Part 698 - Model Forms for Risk-Based Pricing and Credit Score Disclosure Exception Notices

    Code of Federal Regulations, 2011 CFR

    2011-01-01

    ... contains two model forms for risk-based pricing notices and three model forms for use in connection with... the shading or color contained in the model forms. iv. Use of a different form of graphical... sequence of the forms. Persons making revisions with that effect will lose the benefit of the safe...

  8. Analysis of Scores on the Career Development Inventory; Employer-Based Career Education. Technical Report No. 37.

    ERIC Educational Resources Information Center

    Seyfarth, John T.; And Others

    The report analyzes the values of the Career Development Inventory (CDI) as a means of assessing the vocational maturity of the 44 students in the Appalachia Educational Laboratory's Employer-Based Career Education (AEL/EBCE) program. The test instrument measures attitudinal and cognitive skills which correspond with program goals, and was…

  9. A Psychometric Approach to the Development of a 5E Lesson Plan Scoring Instrument for Inquiry-Based Teaching

    ERIC Educational Resources Information Center

    Goldston, M. Jenice; Dantzler, John; Day, Jeanelle; Webb, Brenda

    2013-01-01

    This research centers on the psychometric examination of the structure of an instrument, known as the 5E Lesson Plan (5E ILPv2) rubric for inquiry-based teaching. The instrument is intended to measure an individual's skill in developing written 5E lesson plans for inquiry teaching. In stage one of the instrument's development, an exploratory…

  10. Setting Passing Scores on Passage-Based Tests: A Comparison of Traditional and Single-Passage Bookmark Methods

    ERIC Educational Resources Information Center

    Skaggs, Gary; Hein, Serge F.; Awuor, Risper

    2007-01-01

    In this study, a variation of the bookmark standard setting procedure for passage-based tests is proposed in which separate ordered item booklets are created for the items associated with each passage. This variation is compared to the traditional bookmark procedure for a fifth-grade reading test. The results showed that the single-passage…

  11. Rationale and study protocol for the supporting children’s outcomes using rewards, exercise and skills (SCORES) group randomized controlled trial: A physical activity and fundamental movement skills intervention for primary schools in low-income communities

    PubMed Central

    2012-01-01

    Background Many Australian children are insufficiently active to accrue health benefits and physical activity (PA) levels are consistently lower among youth of low socio-economic position. PA levels decline dramatically during adolescence and evidence suggests that competency in a range of fundamental movement skills (FMS) may serve as a protective factor against this trend. Methods/design The Supporting Children’s Outcomes Using Rewards Exercise and Skills (SCORES) intervention is a multi-component PA and FMS intervention for primary schools in low-income communities, which will be evaluated using a group randomized controlled trial. The socio-ecological model provided a framework for the 12-month intervention, which includes the following components: teacher professional learning, student leadership workshops (including leadership accreditation and rewards, e.g., stickers, water bottles), PA policy review, PA equipment packs, parental engagement via newsletters, FMS homework and a parent evening, and community partnerships with local sporting organizations. Outcomes will be assessed at baseline, 6- and 12-months. The primary outcomes are PA (accelerometers), FMS (Test of Gross Motor Development II) and cardiorespiratory fitness (multi-stage fitness test). Secondary outcomes include body mass index [using weight (kg)/height (m2)], perceived competence, physical self-esteem, and resilience. Individual and environmental mediators of behavior change (e.g. social support and enjoyment) will also be assessed. The System for Observing Fitness Instruction Time will be used to assess the impact of the intervention on PA within physical education lessons. Statistical analyses will follow intention-to-treat principles and hypothesized mediators of PA behavior change will be explored. Discussion SCORES is an innovative primary school-based PA and FMS intervention designed to support students attending schools in low-income communities to be more skilled and active. The

  12. Mapping health assessment questionnaire disability index (HAQ-DI) score, pain visual analog scale (VAS), and disease activity score in 28 joints (DAS28) onto the EuroQol-5D (EQ-5D) utility score with the KORean Observational study Network for Arthritis (KORONA) registry data.

    PubMed

    Kim, Hye-Lin; Kim, Dam; Jang, Eun Jin; Lee, Min-Young; Song, Hyun Jin; Park, Sun-Young; Cho, Soo-Kyung; Sung, Yoon-Kyoung; Choi, Chan-Bum; Won, Soyoung; Bang, So-Young; Cha, Hoon-Suk; Choe, Jung-Yoon; Chung, Won Tae; Hong, Seung-Jae; Jun, Jae-Bum; Kim, Jinseok; Kim, Seong-Kyu; Kim, Tae-Hwan; Kim, Tae-Jong; Koh, Eunmi; Lee, Hwajeong; Lee, Hye-Soon; Lee, Jisoo; Lee, Shin-Seok; Lee, Sung Won; Park, Sung-Hoon; Shim, Seung-Cheol; Yoo, Dae-Hyun; Yoon, Bo Young; Bae, Sang-Cheol; Lee, Eui-Kyung

    2016-04-01

    The aim of this study was to estimate the mapping model for EuroQol-5D (EQ-5D) utility values using the health assessment questionnaire disability index (HAQ-DI), pain visual analog scale (VAS), and disease activity score in 28 joints (DAS28) in a large, nationwide cohort of rheumatoid arthritis (RA) patients in Korea. The KORean Observational study Network for Arthritis (KORONA) registry data on 3557 patients with RA were used. Data were randomly divided into a modeling set (80 % of the data) and a validation set (20 % of the data). The ordinary least squares (OLS), Tobit, and two-part model methods were employed to construct a model to map to the EQ-5D index. Using a combination of HAQ-DI, pain VAS, and DAS28, four model versions were examined. To evaluate the predictive accuracy of the models, the root-mean-square error (RMSE) and mean absolute error (MAE) were calculated using the validation dataset. A model that included HAQ-DI, pain VAS, and DAS28 produced the highest adjusted R (2) as well as the lowest Akaike information criterion, RMSE, and MAE, regardless of the statistical methods used in modeling set. The mapping equation of the OLS method is given as EQ-5D = 0.95-0.21 × HAQ-DI-0.24 × pain VAS/100-0.01 × DAS28 (adjusted R (2) = 57.6 %, RMSE = 0.1654 and MAE = 0.1222). Also in the validation set, the RMSE and MAE were shown to be the smallest. The model with HAQ-DI, pain VAS, and DAS28 showed the best performance, and this mapping model enabled the estimation of an EQ-5D value for RA patients in whom utility values have not been measured. PMID:26849891

  13. Proposal for a New Score-Based Approach To Improve Efficiency of Diagnostic Laboratory Workflow for Acute Bacterial Meningitis in Adults.

    PubMed

    Lagi, Filippo; Bartalesi, Filippo; Pecile, Patrizia; Biagioli, Tiziana; Caldini, Anna Lucia; Fanelli, Alessandra; Giannazzo, Giuseppe; Grifoni, Stefano; Massacesi, Luca; Bartoloni, Alessandro; Rossolini, Gian Maria

    2016-07-01

    Microbiological tests on cerebrospinal fluid (CSF) utilize a common urgent-care procedure that does not take into account the chemical and cytological characteristics of the CSF, resulting sometimes in an unnecessary use of human and diagnostic resources. The aim of this study was to retrospectively validate a simple scoring system (bacterial meningitis-Careggi score [BM-CASCO]) based on blood and CSF sample chemical/cytological parameters for evaluating the probability of acute bacterial meningitis (ABM) in adults. BM-CASCO (range, 0 to 6) was defined by the following parameters: CSF cell count, CSF protein levels, CSF lactate levels, CSF glucose-to-serum glucose ratio, and peripheral neutrophil count. BM-CASCO was retrospectively calculated for 784 cases of suspected ABM in adult subjects observed during a four-and-a-half-year-period (2010 to 2014) at the emergency department (ED) of a large tertiary-care teaching hospital in Italy. Among the 28 confirmed ABM cases (3.5%), Streptococcus pneumoniae was the most frequent cause (16 cases). All ABM cases showed a BM-CASCO value of ≥3. Most negative cases (591/756) exhibited a BM-CASCO value of ≤1, which was adopted in our laboratory as a cutoff to not proceed with urgent microbiological analysis of CSF in cases of suspected ABM in adults. During a subsequent 1-year follow-up, the introduction of the BM-CASCO in the diagnostic workflow of ABM in adults resulted in a significant decrease in unnecessary microbiological analysis, with no false negatives. In conclusion, BM-CASCO appears to be an accurate and simple scoring system for optimization of the microbiological diagnostic workflow of ABM in adults. PMID:27170017

  14. Automatic classification of lung tumour heterogeneity according to a visual-based score system in dynamic contrast enhanced CT sequences

    NASA Astrophysics Data System (ADS)

    Bevilacqua, Alessandro; Baiocco, Serena

    2016-03-01

    Computed tomography (CT) technologies have been considered for a long time as one of the most effective medical imaging tools for morphological analysis of body parts. Contrast Enhanced CT (CE-CT) also allows emphasising details of tissue structures whose heterogeneity, inspected through visual analysis, conveys crucial information regarding diagnosis and prognosis in several clinical pathologies. Recently, Dynamic CE-CT (DCE-CT) has emerged as a promising technique to perform also functional hemodynamic studies, with wide applications in the oncologic field. DCE-CT is based on repeated scans over time performed after intravenous administration of contrast agent, in order to study the temporal evolution of the tracer in 3D tumour tissue. DCE-CT pushes towards an intensive use of computers to provide automatically quantitative information to be used directly in clinical practice. This requires that visual analysis, representing the gold-standard for CT image interpretation, gains objectivity. This work presents the first automatic approach to quantify and classify the lung tumour heterogeneities based on DCE-CT image sequences, so as it is performed through visual analysis by experts. The approach developed relies on the spatio-temporal indices we devised, which also allow exploiting temporal data that enrich the knowledge of the tissue heterogeneity by providing information regarding the lesion status.

  15. Association between the French nutritional guideline-based score and 6-year anthropometric changes in a French middle-aged adult cohort.

    PubMed

    Kesse-Guyot, Emmanuelle; Castetbon, Katia; Estaquio, Carla; Czernichow, Sébastien; Galan, Pilar; Hercberg, Serge

    2009-09-15

    In light of increasing obesity among the elderly, understanding the role of nutritional guidelines in preventing weight gain is of major importance. The authors evaluated the impact of the French Programme National Nutrition Santé (PNNS)-Guideline Score (GS) (maximum score, 15 points) on anthropometric changes in a large population-based study. Subjects in the present analysis (n = 3,531) were participants in the SUplémentation en VItamines et Minéraux AntioXydants (SU.VI.MAX) study (1994-2002) and had available data for estimating the PNNS-GS and anthropometric data at baseline and 6 years later. Data were analyzed by using multivariate linear regression models for the association with anthropometric changes and multiple logistic regression to estimate odds ratios of becoming overweight or obese. The authors found a significant negative association between PNNS-GS and changes in markers of anthropometry. In addition, better adherence to the PNNS-GS was associated with a lower incidence of overweight (odds ratio = 0.93, 95% confidence interval: 0.88, 0.99) and obesity (odds ratio = 0.89, 95% confidence interval: 0.80, 0.99) after a 6-year follow-up period. These observations support the role of nutritional guidelines in prevention of age-related weight increase and development of obesity. PMID:19656810

  16. Computer-Aided Quantification of Interstitial Lung Disease from High Resolution Computed Tomography Images in Systemic Sclerosis: Correlation with Visual Reader-Based Score and Physiologic Tests

    PubMed Central

    Salaffi, Fausto; Carotti, Marina; Bosello, Silvia; Bichisecchi, Elisabetta; Giuseppetti, Gianmarco; Ferraccioli, Gianfranco

    2015-01-01

    Objective. To evaluate the performance of a computerized-aided method (CaM) for quantification of interstitial lung disease (ILD) in patients with systemic sclerosis and to determine its correlation with the conventional visual reader-based score (CoVR) and the pulmonary function tests (PFTs). Methods. Seventy-nine patients were enrolled. All patients underwent chest high resolution computed tomography (HRCT) scored by two radiologists adopting the CoVR. All HRCT images were then analysed by a CaM using a DICOM software. The relationships among the lung segmentation analysis, the readers, and the PFTs results were calculated using linear regression analysis and Pearson's correlation. Receiver operating curve analysis was performed for determination of CaM extent threshold. Results. A strong correlation between CaM and CoVR was observed (P < 0.0001). The CaM showed a significant negative correlation with forced vital capacity (FVC) (P < 0.0001) and the single breath carbon monoxide diffusing capacity of the lung (DLco) (P < 0.0001). A CaM optimal extent threshold of 20% represented the best compromise between sensitivity (75.6%) and specificity (97.4%). Conclusions. CaM quantification of SSc-ILD can be useful in the assessment of extent of lung disease and may provide reliable tool in daily clinical practice and clinical trials. PMID:25629053

  17. Validating the Interpretations and Uses of Test Scores

    ERIC Educational Resources Information Center

    Kane, Michael T.

    2013-01-01

    To validate an interpretation or use of test scores is to evaluate the plausibility of the claims based on the scores. An argument-based approach to validation suggests that the claims based on the test scores be outlined as an argument that specifies the inferences and supporting assumptions needed to get from test responses to score-based…

  18. A Multi-Criteria Decision Analysis based methodology for quantitatively scoring the reliability and relevance of ecotoxicological data.

    PubMed

    Isigonis, Panagiotis; Ciffroy, Philippe; Zabeo, Alex; Semenzin, Elena; Critto, Andrea; Giove, Silvio; Marcomini, Antonio

    2015-12-15

    Ecotoxicological data are highly important for risk assessment processes and are used for deriving environmental quality criteria, which are enacted for assuring the good quality of waters, soils or sediments and achieving desirable environmental quality objectives. Therefore, it is of significant importance the evaluation of the reliability of available data for analysing their possible use in the aforementioned processes. The thorough analysis of currently available frameworks for the assessment of ecotoxicological data has led to the identification of significant flaws but at the same time various opportunities for improvement. In this context, a new methodology, based on Multi-Criteria Decision Analysis (MCDA) techniques, has been developed with the aim of analysing the reliability and relevance of ecotoxicological data (which are produced through laboratory biotests for individual effects), in a transparent quantitative way, through the use of expert knowledge, multiple criteria and fuzzy logic. The proposed methodology can be used for the production of weighted Species Sensitivity Weighted Distributions (SSWD), as a component of the ecological risk assessment of chemicals in aquatic systems. The MCDA aggregation methodology is described in detail and demonstrated through examples in the article and the hierarchically structured framework that is used for the evaluation and classification of ecotoxicological data is shortly discussed. The methodology is demonstrated for the aquatic compartment but it can be easily tailored to other environmental compartments (soil, air, sediments). PMID:26298253

  19. Active material based active sealing technology: Part 1. Active seal requirements vs. active material actuator properties

    NASA Astrophysics Data System (ADS)

    Henry, Christopher P.; Carter, William; Herrera, Guillermo A.; McKnight, Geoffrey P.; Browne, Alan L.; Johnson, Nancy L.; Bazzi, Imad F.

    2010-04-01

    Current seals used for vehicle closures/swing panels are essentially flexible, frequently hollow structures whose designs are constrained by numerous requirements, many of them competing, including door closing effort (both air bind and seal compression), sound isolation, prevention of water leaks, and accommodation of variations in vehicle build. This paper documents the first portion of a collaborative research study/exploration of the feasibility of and approaches for using active materials with shape and stiffness changing attributes to produce active seal technologies, seals with improved performance. An important design advantage of an active material approach compared to previous active seal technologies is the distribution of active material regions throughout the seal length, which would enable continued active function even with localized failure. Included as a major focus of this study was the assessment of polymeric active materials because of their potential ease of integration into the current seal manufacturing process. In Part 1 of this study, which is documented in this paper, potential materials were evaluated in terms of their cost, activation mechanisms, and mechanical and actuation properties. Based on these properties, simple designs were proposed and utilized to help determine which materials are best suited for active seals. Shape memory alloys (SMA) and electroactive polymers (EAP) were judged to be the most promising.

  20. Why activity-based costing works.

    PubMed

    Gabram, S G; Mendola, R A; Rozenfeld, J; Gamelli, R L

    1997-01-01

    With advancing technology and the quest for delineating the true cost of a procedure or diagnostic test, cost accounting techniques are being re-explored in the health care setting. Activity-based costing (ABC), adopted from other businesses, is one such example that has applications in the health industry. The purpose of this paper is to enhance the understanding of health care costs among physician providers, emphasizing a new approach--activity-based costing. PMID:10169347

  1. Home Energy Score

    SciTech Connect

    2011-12-16

    The Home Energy Score allows a homeowner to compare her or his home's energy consumption to that of other homes, similar to a vehicle's mile-per-gallon rating. A home energy assessor will collect energy information during a brief home walk-through and then score that home on a scale of 1 to 10.

  2. SCORE - A DESCRIPTION.

    ERIC Educational Resources Information Center

    SLACK, CHARLES W.

    REINFORCEMENT AND ROLE-REVERSAL TECHNIQUES ARE USED IN THE SCORE PROJECT, A LOW-COST PROGRAM OF DELINQUENCY PREVENTION FOR HARD-CORE TEENAGE STREET CORNER BOYS. COMMITTED TO THE BELIEF THAT THE BOYS HAVE THE POTENTIAL FOR ETHICAL BEHAVIOR, THE SCORE WORKER FOLLOWS B.F. SKINNER'S THEORY OF OPERANT CONDITIONING AND REINFORCES THE DELINQUENT'S GOOD…

  3. Assessing the Impact of School Based Health Centers on Academic Achievement and College Preparation Efforts: Using Propensity Score Matching to Assess School-Level Data in California

    PubMed Central

    Bersamin, Melina; Garbers, Samantha; Gaarde, Jenna; Santelli, John

    2016-01-01

    This study examines the association between School-Based Health Center (SBHC) presence and school-wide measures of academic achievement and college preparation efforts. Publicly available educational and demographic data from 810 California public high schools were linked to a list of schools with an SBHC. Propensity score matching, a method to reduce bias inherent in non-randomized control studies, was used to select comparison schools. Regression analyses, controlling for proportion of English Language Learners, was conducted for each outcome including: proportion of students participating in three College Board Exams, graduation rates, and meeting University graduation requirements. Findings suggest that SBHC presence is positively associated with college preparation outcomes, but not with academic achievement outcomes (graduation rates or meeting state graduation requirements). Future research must examine underlying mechanisms supporting this association, such as school connectedness. Additional research should explore the role that SBHC staff could have in supporting college preparation efforts. PMID:27009589

  4. Assessing the Impact of School-Based Health Centers on Academic Achievement and College Preparation Efforts: Using Propensity Score Matching to Assess School-Level Data in California.

    PubMed

    Bersamin, Melina; Garbers, Samantha; Gaarde, Jenna; Santelli, John

    2016-08-01

    This study examines the association between school-based health center (SBHC) presence and school-wide measures of academic achievement and college preparation efforts. Publicly available educational and demographic data from 810 California public high schools were linked to a list of schools with an SBHC. Propensity score matching, a method to reduce bias inherent in nonrandomized control studies, was used to select comparison schools. Regression analyses, controlling for proportion of English-language learners, were conducted for each outcome including proportion of students participating in three College Board exams, graduation rates, and meeting university graduation requirements. Findings suggest that SBHC presence is positively associated with college preparation outcomes but not with academic achievement outcomes (graduation rates or meeting state graduation requirements). Future research must examine underlying mechanisms supporting this association, such as school connectedness. Additional research should explore the role that SBHC staff could have in supporting college preparation efforts. PMID:27009589

  5. Tracking time interval changes of pulmonary nodules on follow-up 3D CT images via image-based risk score of lung cancer

    NASA Astrophysics Data System (ADS)

    Kawata, Y.; Niki, N.; Ohmatsu, H.; Kusumoto, M.; Tsuchida, T.; Eguchi, K.; Kaneko, M.; Moriyama, N.

    2013-03-01

    In this paper, we present a computer-aided follow-up (CAF) scheme to support physicians to track interval changes of pulmonary nodules on three dimensional (3D) CT images and to decide the treatment strategies without making any under or over treatment. Our scheme involves analyzing CT histograms to evaluate the volumetric distribution of CT values within pulmonary nodules. A variational Bayesian mixture modeling framework translates the image-derived features into an image-based risk score for predicting the patient recurrence-free survival. Through applying our scheme to follow-up 3D CT images of pulmonary nodules, we demonstrate the potential usefulness of the CAF scheme which can provide the trajectories that can characterize time interval changes of pulmonary nodules.

  6. Automated determination of wakefulness and sleep in rats based on non-invasively acquired measures of movement and respiratory activity

    PubMed Central

    Zeng, Tao; Mott, Christopher; Mollicone, Daniel; Sanford, Larry D.

    2012-01-01

    The current standard for monitoring sleep in rats requires labor intensive surgical procedures and the implantation of chronic electrodes which have the potential to impact behavior and sleep. With the goal of developing a non-invasive method to determine sleep and wakefulness, we constructed a non-contact monitoring system to measure movement and respiratory activity using signals acquired with pulse Doppler radar and from digitized video analysis. A set of 23 frequency and time-domain features were derived from these signals and were calculated in 10 s epochs. Based on these features, a classification method for automated scoring of wakefulness, non-rapid eye movement sleep (NREM) and REM in rats was developed using a support vector machine (SVM). We then assessed the utility of the automated scoring system in discriminating wakefulness and sleep by comparing the results to standard scoring of wakefulness and sleep based on concurrently recorded EEG and EMG. Agreement between SVM automated scoring based on selected features and visual scores based on EEG and EMG were approximately 91% for wakefulness, 84% for NREM and 70% for REM. The results indicate that automated scoring based on non-invasively acquired movement and respiratory activity will be useful for studies requiring discrimination of wakefulness and sleep. However, additional information or signals will be needed to improve discrimination of NREM and REM episodes within sleep. PMID:22178621

  7. Reporting Valid and Reliable Overall Scores and Domain Scores

    ERIC Educational Resources Information Center

    Yao, Lihua

    2010-01-01

    In educational assessment, overall scores obtained by simply averaging a number of domain scores are sometimes reported. However, simply averaging the domain scores ignores the fact that different domains have different score points, that scores from those domains are related, and that at different score points the relationship between overall…

  8. [Trauma scores: reproducibility and reliability].

    PubMed

    Waydhas, C; Nast-Kolb, D; Trupka, A; Kerim-Sade, C; Kanz, G; Zoller, J; Schweiberer, L

    1992-02-01

    The inter-rater reliability of the Injury Severity Score (ISS) and the Polytraumaschlüssel (PTS) [multiple trauma code] was studied using diagnosis sheets filled in for 107 multiple injured patients. The scoring was performed by eight physicians with different levels of qualification. The scores for individual patients varied widely depending on the scorer, with extremes differing from the mean by about 80% and 70% for the ISS and PTS, respectively. The mean ISS and PTS for the whole study population also varied significantly between the scorers (P less than 0.0001, one-way analysis of variance). Raters with experience in trauma scoring calculated significantly higher scores (P less than 0.01, t-test) Neither the ISS nor the PTS seem reliable enough to describe injury severity in an individual patient. Treatment decisions must not be based on such grounds. Even for larger groups, caution must be exercised in comparison of different populations of multiple traumatized patients. PMID:1570531

  9. Scoring functions for prediction of protein-ligand interactions.

    PubMed

    Wang, Jui-Chih; Lin, Jung-Hsin

    2013-01-01

    The scoring functions for protein-ligand interactions plays central roles in computational drug design, virtual screening of chemical libraries for new lead identification, and prediction of possible binding targets of small chemical molecules. An ideal scoring function for protein-ligand interactions is expected to be able to recognize the native binding pose of a ligand on the protein surface among decoy poses, and to accurately predict the binding affinity (or binding free energy) so that the active molecules can be discriminated from the non-active ones. Due to the empirical nature of most, if not all, scoring functions for protein-ligand interactions, the general applicability of empirical scoring functions, especially to domains far outside training sets, is a major concern. In this review article, we will explore the foundations of different classes of scoring functions, their possible limitations, and their suitable application domains. We also provide assessments of several scoring functions on weakly-interacting protein-ligand complexes, which will be useful information in computational fragment-based drug design or virtual screening. PMID:23016847

  10. Promoting an active form of learning out-of-class via answering online "study questions" leads to higher than expected exam scores in General Biology.

    PubMed

    Gibson, Susan I

    2015-01-01

    A rising need for workers in science, technology, engineering and mathematics (STEM) fields has fueled interest in improving teaching within STEM disciplines. Numerous studies have demonstrated the benefits of active learning approaches on student learning outcomes. However, many of these studies have been conducted in experimental, rather than real-life class, settings. In addition, most of these studies have focused on in-class active learning exercises. This study tested the effects of answering questions outside of class on exam performance for General Biology students at the University of Minnesota. An online database of 1,020 multiple-choice questions covering material from the first half of the course was generated. Students in seven course sections (with an average of ∼265 students per section) were given unlimited access to the online study questions. These students made extensive use of the online questions, with students answering an average of 1,323 questions covering material from the half of the semester for which the questions were available. After students answered a set of questions, they were shown the correct answers for those questions. More specific feedback describing how to arrive at the correct answer was provided for the 73% of the questions for which the correct answers were not deemed to be self-explanatory. The extent to which access to the online study questions improved student learning outcomes was assessed by comparing the performance on exam questions of students in the seven course sections with access to the online study questions with the performance of students in course sections without access to the online study questions. Student performance was analyzed for a total of 89 different exams questions that were not included in the study questions, but that covered the same material covered by the study questions. Each of these 89 questions was used on one to five exams given to students in course sections that had access to the

  11. Promoting an active form of learning out-of-class via answering online “study questions” leads to higher than expected exam scores in General Biology

    PubMed Central

    2015-01-01

    A rising need for workers in science, technology, engineering and mathematics (STEM) fields has fueled interest in improving teaching within STEM disciplines. Numerous studies have demonstrated the benefits of active learning approaches on student learning outcomes. However, many of these studies have been conducted in experimental, rather than real-life class, settings. In addition, most of these studies have focused on in-class active learning exercises. This study tested the effects of answering questions outside of class on exam performance for General Biology students at the University of Minnesota. An online database of 1,020 multiple-choice questions covering material from the first half of the course was generated. Students in seven course sections (with an average of ∼265 students per section) were given unlimited access to the online study questions. These students made extensive use of the online questions, with students answering an average of 1,323 questions covering material from the half of the semester for which the questions were available. After students answered a set of questions, they were shown the correct answers for those questions. More specific feedback describing how to arrive at the correct answer was provided for the 73% of the questions for which the correct answers were not deemed to be self-explanatory. The extent to which access to the online study questions improved student learning outcomes was assessed by comparing the performance on exam questions of students in the seven course sections with access to the online study questions with the performance of students in course sections without access to the online study questions. Student performance was analyzed for a total of 89 different exams questions that were not included in the study questions, but that covered the same material covered by the study questions. Each of these 89 questions was used on one to five exams given to students in course sections that had access to the

  12. The relation of autologous serum and plasma skin test results with urticarial activity score, sex and age in patients with chronic urticaria

    PubMed Central

    Aktar, Sirac; Akdeniz, Necmettin; Calka, Omer; Karadag, Ayse Serap

    2015-01-01

    Introduction Some previous studies reported autoimmunity as an etiologic factor in chronic urticaria (CU), but the results of some autoimmunity tests in these studies are conflicting. Aim To concretize whether there was any relation of autologous serum skin test (ASST) and autologous plasma skin test (APST) results with sex, age and urticarial activity score (UAS) in patients with CU. Material and methods Fifty patients with CU and twenty healthy subjects admitted to our dermatology clinic were included in the present study. The ASST and APST were applied to all individuals. Results The positiveness rates of ASST and APST were significantly higher in the patient group than controls (p = 0.027, p = 0.001, respectively). Among patients, the APST positiveness rate (72%) was significantly (p < 0.05) higher than ASST (46%). It was seen that 48% of patients with negative ASST results had positive APST. However, no patient with negative APST results had positive ASST. There were significant (p < 0.05) relations of the tests’ positiveness rates with sex and old age but with UAS. The diameter of the erythematous papule was remarkably (p < 0.05) larger in APST than ASST and also significantly (p < 0.05) larger in females compared to males in both tests (p < 0.05). It was positively increased with old age (p < 0.05). Conclusions We can suggest that APST is more sensitive than ASST in the assessment of autoimmunity in CU. A high positiveness rate of APST results may be attributed to high numbers of autoantibodies and coagulation factors present in plasma that might probably play a role in etiopathogenesis of CU. PMID:26161057

  13. Can Score Databanks Help Teaching?

    PubMed Central

    Almeida, Alessandro; Barral-Netto, Manoel

    2011-01-01

    Background Basic courses in most medical schools assess students' performance by conferring scores. The objective of this work is to use a large score databank for the early identification of students with low performance and to identify course trends based on the mean of students' grades. Methodology/Principal Findings We studied scores from 2,398 medical students registered in courses over a period of 10 years. Students in the first semester were grouped into those whose ratings remained in the lower quartile in two or more courses (low-performance) and students who had up to one course in the lower quartile (high-performance). ROC curves were built, aimed at the identification of a cut-off average score in the first semesters that would be able to predict low performances in future semesters. Moreover, to follow the long-term pattern of each course, the mean of all scores conferred in a semester was compared to the overall course mean obtained by averaging 10 years of data. Individuals in the low-performance group had a higher risk of being in the lower quartile of at least one course in the second semester (relative risk 3.907; 95% CI: 3.378–4.519) and in the eighth semester (relative risk 2.873; 95% CI: 2.495–3.308). The prediction analysis revealed that an average score of 7.188 in the first semester could identify students that presented scores below the lower quartiles in both the second and eighth semesters (p<0.0001 for both AUC). When scores conferred by single courses were compared over time, three time-trend patterns emerged: low variation, upward trend and erratic pattern. Conclusion/Significance An early identification of students with low performance may be useful in promoting pedagogical strategies for these individuals. Evaluation of the time trend of scores conferred by courses may help departments monitoring changes in personnel and methodology that may affect a student's performance. PMID:21246033

  14. Activated, coal-based carbon foam

    DOEpatents

    Rogers, Darren Kenneth; Plucinski, Janusz Wladyslaw

    2004-12-21

    An ablation resistant, monolithic, activated, carbon foam produced by the activation of a coal-based carbon foam through the action of carbon dioxide, ozone or some similar oxidative agent that pits and/or partially oxidizes the carbon foam skeleton, thereby significantly increasing its overall surface area and concurrently increasing its filtering ability. Such activated carbon foams are suitable for application in virtually all areas where particulate or gel form activated carbon materials have been used. Such an activated carbon foam can be fabricated, i.e. sawed, machined and otherwise shaped to fit virtually any required filtering location by simple insertion and without the need for handling the "dirty" and friable particulate activated carbon foam materials of the prior art.

  15. Activated, coal-based carbon foam

    SciTech Connect

    Rogers, Darren Kenneth; Plucinski, Janusz Wladyslaw

    2009-06-09

    An ablation resistant, monolithic, activated, carbon foam produced by the activation of a coal-based carbon foam through the action of carbon dioxide, ozone or some similar oxidative agent that pits and/or partially oxidizes the carbon foam skeleton, thereby significantly increasing its overall surface area and concurrently increasing its filtering ability. Such activated carbon foams are suitable for application in virtually all areas where particulate or gel form activated carbon materials have been used. Such an activated carbon foam can be fabricated, i.e. sawed, machined and otherwise shaped to fit virtually any required filtering location by simple insertion and without the need for handling the "dirty" and friable particulate activated carbon foam materials of the prior art.

  16. Discriminate protein decoys from native by using a scoring function based on ubiquitous Phi and Psi angles computed for all atom.

    PubMed

    Mishra, Avdesh; Iqbal, Sumaiya; Hoque, Md Tamjidul

    2016-06-01

    The success of solving the protein folding and structure prediction problems in molecular and structural biology relies on an accurate energy function. With the rapid advancement in the computational biology and bioinformatics fields, there is a growing need of solving unknown fold and structure faster and thus an accurate energy function is indispensable. To address this need, we develop a new potential function, namely 3DIGARS3.0, which is a linearly weighted combination of 3DIGARS, mined accessible surface area (ASA) and ubiquitously computed Phi (uPhi) and Psi (uPsi) energies - optimized by a Genetic Algorithm (GA). We use a dataset of 4332 protein-structures to generate uPhi and uPsi based score libraries to be used within the core 3DIGARS method. The optimized weight of each component is obtained by applying Genetic Algorithm based optimization on three challenging decoy sets. The improved 3DIGARS3.0 outperformed state-of-the-art methods significantly based on a set of independent test datasets. PMID:27029514

  17. Validity Evidence based on Internal Structure of Scores of the Emotional Quotient-Inventory: Youth Version Short (EQ-i: YV-S) in a Spanish Sample.

    PubMed

    Esnaola, Igor; Freeman, John; Sarasa, Marta; Fernández-Zabala, Arantza; Axpe, Inge

    2016-01-01

    The purpose of this study was to analyze the reliability and validity evidence of scores on the Spanish version of EQ-i: YV-S in Spanish adolescents. The total sample was comprised of 508 participants from Grades 7 to 12, 241 males (47.4%) and 267 females (52.6%), each of whom completed the questionnaires on two separate occasions. Three [intrapersonal (α = .83, CR = .86, and McDonald Omega = .86), stress management (α = .83, CR = .86, and McDonald Omega = .85) and adaptability (α = .82, CR = .85, and McDonald Omega = .85)] of the four scales had acceptable internal consistency. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were used with FACTOR and EQS version 6.1 software to examine validity evidence based on internal structure drawn from the scores on the EQ-i: YV-S, supporting the multidimensionality of the questionnaire. Three models were tested; the best fit to the data was the hierarchical model (S-Bχ2 / df = 2.11, CFI = .93 and RMSEA = .047), which hypothesized that the four specific factors (interpersonal, intrapersonal, stress management, and adaptability) were explained with a second-order factor, Emotional-Social-Intelligence (ESI). Finally, significant positive correlations were found between general self-concept and EQ-i: YV-S [interpersonal (r = .153, p < .001), intrapersonal (r = .235, p < .001), stress management (r = .145, p < .001), adaptability (r = .311, p < .001) and ESI (r = .360, p < .001)]; ESI showed significant direct power prediction of the general self-concept (.52) as demonstrated through structural equation modeling. PMID:26972848

  18. Prediction of Large Joint Destruction in Patients With Rheumatoid Arthritis Using 18F-FDG PET/CT and Disease Activity Score

    PubMed Central

    Suto, Takahito; Okamura, Koichi; Yonemoto, Yukio; Okura, Chisa; Tsushima, Yoshito; Takagishi, Kenji

    2016-01-01

    Abstract The assessments of joint damage in patients with rheumatoid arthritis (RA) are mainly restricted to small joints in the hands and feet. However, the development of arthritis in RA patients often involves the large joints, such as the shoulder, elbow, hip, knee, and ankle. Few studies have been reported regarding the degree of large joint destruction in RA patients. 18F-fluorodeoxyglucose positron emission tomography combined with computed tomography (FDG-PET/CT) visualizes the disease activity in large joints affected by RA. In this study, the associations between destruction of the large joints and the findings of FDG-PET/CT as well as laboratory parameters were investigated, and factors associated with large joint destruction after the administration of biological therapy were identified in RA patients. A total of 264 large joints in 23 RA patients (6 men and 17 women; mean age of 66.9 ± 7.9 years) were assessed in this study. FDG-PET/CT was performed at baseline and 6 months after the initiation of biological therapy. The extent of FDG uptake in large joints (shoulder, elbow, wrist, hip, knee, and ankle) was analyzed using the maximum standardized uptake value (SUVmax). Radiographs of the 12 large joints per patient obtained at baseline and after 2 years were assessed according to Larsen's method. A logistic regression analysis was performed to determine the factors most significantly contributing to the progression of joint destruction within 2 years. Radiographic progression of joint destruction was detected in 33 joints. The SUVmax at baseline and 6 months, and the disease activity score (DAS) 28-erythrocyte sedimentation rate (ESR) at 6, 12, and 24 months were significantly higher in the group with progressive joint destruction. The SUVmax at baseline and DAS28-ESR at 6 months were found to be factors associated with joint destruction at 2 years (P < 0.05). The FDG uptake in the joints with destruction was higher than that observed in the

  19. The Youth Throwing Score

    PubMed Central

    Ahmad, Christopher S.; Padaki, Ajay S.; Noticewala, Manish Suresh; Makhni, Eric Chugh; Popkin, Charles Aaron

    2016-01-01

    Objectives: Epidemic levels of shoulder and elbow injuries have been reported in youth and adolescent baseball players. Despite the concerning frequency of these injuries, no instrument has been validated to assess upper extremity injury in this patient population. The purpose of this study was to validate an upper extremity assessment tool specifically designed for youth baseball players. We hypothesize this tool will be reliable, responsive and valid. Methods: The Youth Throwing Score (YTS) was constructed by a multidisciplinary healthcare provider team in addition to baseball coaches as a tool to assess upper extremity injury in 10 to 18 year old baseball players. The instrument was comprised of a demographics section and a 14 item assessment of pain, fatigue and psychosocial health. The 14 items were scored from 1 to 5 and weighted equally, with higher scores reflecting fewer symptoms and less functional disability. The psychometric properties, including the test-retest reliability, internal consistency, and responsiveness were calculated. Additionally, the Pearson correlation coefficient to 4 validated outcomes was determined. Results: A pilot form of the instrument was administered to 25 players to assess comprehension and mean item importance. Pilot analysis resulted in none of the 14 items receiving less than a 3 out of 5 mean athlete importance rating and the final instrument read at a Flesch-Kincaid level of 4.1, appropriate for patients age 9 and older. A total of 223 players completed the Youth Throwing Score, with an average player age of 14.3 ± 2.7 years old. The players self-assigned injury status, resulting in an average survey score of 59.7 ± 8.4 for the 148 players ‘playing without pain,’ 42.0 ± 11.5 for the 60 players ‘playing with pain,’ and 40.4 ± 10.5 for the 15 players ‘not playing due to pain.’ Players playing without pain scored significantly higher than those playing with pain (p < .001). The scoring tiers of the Youth

  20. Nutrient Density Scores.

    ERIC Educational Resources Information Center

    Dickinson, Annette; Thompson, William T.

    1979-01-01

    Announces a nutrient density food scoring system called the Index of Nutritional Quality (INQ). It expresses the ratio between the percent RDA of a nutrient and the percent daily allowance of calories in a food. (Author/SA)

  1. Volleyball Scoring Systems.

    ERIC Educational Resources Information Center

    Calhoun, William; Dargahi-Noubary, G. R.; Shi, Yixun

    2002-01-01

    The widespread interest in sports in our culture provides an excellent opportunity to catch students' attention in mathematics and statistics classes. One mathematically interesting aspect of volleyball, which can be used to motivate students, is the scoring system. (MM)

  2. Histopathological differences utilizing the nonalcoholic fatty liver disease activity score criteria in diabetic (type 2 diabetes mellitus) and non-diabetic patients with nonalcoholic fatty liver disease

    PubMed Central

    Puchakayala, Bharat K; Verma, Siddharth; Kanwar, Pushpjeet; Hart, John; Sanivarapu, Raghavendra R; Mohanty, Smruti R

    2015-01-01

    AIM: To study clinical and histopathological features of nonalcoholic fatty liver disease (NAFLD) in patients with and without type 2 diabetes mellitus (T2DM) using updated nonalcoholic steatohepatitis clinical research network (NASH-CRN) grading system. METHODS: We retrospectively analyzed data of 235 patients with biopsy proven NAFLD with and without T2DM. This database was utilized in the previously published study comparing ethnicity outcomes in NAFLD by the same corresponding author. The pathology database from University of Chicago was utilized for enrolling consecutive patients who met the criteria for NAFLD and their detailed clinical and histopathology findings were obtained for comparison. The relevant clinical profile of patients was collected from the Electronic Medical Records around the time of liver biopsy and the histology was read by a single well-trained histopathologist. The updated criteria for type 2 diabetes have been utilized for analysis. Background data of patients with NASH and NAFLD has been included. The mean differences were compared using χ2 and t-test along with regression analysis to evaluate the predictors of NASH and advanced fibrosis. RESULTS: Patients with NAFLD and T2DM were significantly older (49.9 vs 43.0, P < 0.01), predominantly female (71.4 vs 56.3, P < 0.02), had higher rate of metabolic syndrome (88.7 vs 36.4, P < 0.01), had significantly higher aspartate transaminase (AST)/alanine transaminase (ALT) ratio (0.94 vs 0.78, P < 0.01) and Fib-4 index (1.65 vs 1.06, P < 0.01) as markers of NASH, showed higher mean NAFLD activity score (3.5 vs 3.0, P = 0.03) and higher mean fibrosis score (1.2 vs 0.52, P < 0.01) compared to patients with NAFLD without T2DM. Furthermore, advanced fibrosis (32.5 vs 12.0, P < 0.01) and ballooning (27.3 vs 13.3, P < 0.01) was significantly higher among patients with NAFLD and T2DM compared to patients with NAFLD without T2DM. On multivariate analysis, T2DM was independently associated with NASH

  3. Fatty acid composition in serum correlates with that in the liver and non-alcoholic fatty liver disease activity scores in mice fed a high-fat diet.

    PubMed

    Wang, Xing-He; Li, Chun-Yan; Muhammad, Ishfaq; Zhang, Xiu-Ying

    2016-06-01

    In this study, we investigated the correlation between the serum fatty acid composition and hepatic steatosis, inflammation, hepatocellular ballooning scores, and liver fatty acids composition in mice fed a high-fat diet. Livers were collected for non-alcoholic fatty liver disease score analysis. Fatty acid compositions were analysed by gas chromatography. Correlations were determined by Pearson correlation coefficient. Exposed to a high-fat diet, mice developed fatty liver disease with varying severity without fibrosis. The serum fatty acid variation became more severe with prolonged exposure to a high-fat diet. This variation also correlated significantly with the variation in livers, with the types of fatty acids corresponding to liver steatosis, inflammation, and hepatocellular ballooning scores. Results of this study lead to the following hypothesis: the extent of serum fatty acid variation may be a preliminary biomarker of fatty liver disease caused by high-fat intake. PMID:27179602

  4. The Relationship between Criterion-Based Levels of Oral Proficiency and Norm-Referenced Scores of General Proficiency in English as a Second Language.

    ERIC Educational Resources Information Center

    Reed, Daniel J.

    1992-01-01

    Presents data from validation study of American Council on Teaching of Foreign Languages (ACTFL) Oral Proficiency (OPI). Distinctness of OPI ratings from scores generated by Test of English as a Foreign Language and one other examination is assessed on basis of comparisons among 70 sets of scores from students of English as Second Language who…

  5. The Objective Borderline Method (OBM): A Probability-Based Model for Setting up an Objective Pass/Fail Cut-Off Score in Medical Programme Assessments

    ERIC Educational Resources Information Center

    Shulruf, Boaz; Turner, Rolf; Poole, Phillippa; Wilkinson, Tim

    2013-01-01

    The decision to pass or fail a medical student is a "high stakes" one. The aim of this study is to introduce and demonstrate the feasibility and practicality of a new objective standard-setting method for determining the pass/fail cut-off score from borderline grades. Three methods for setting up pass/fail cut-off scores were compared: the…

  6. An Easy and Useful Noninvasive Score Based on α-1-acid Glycoprotein and C-Reactive Protein for Diagnosis of Patients with Hepatocellular Carcinoma Associated with Hepatitis C Virus Infection.

    PubMed

    Omran, Mohamed M; Emran, Tarek M; Farid, Khaled; Eltaweel, Fathy M; Omar, Mona A; Bazeed, Fagr B

    2016-01-01

    This study aimed to evaluate the diagnostic value of α-1-acid glycoprotein (AGP) and C-reactive protein (CRP) and develop a predictive score to improve the diagnosis of hepatocellular carcinoma (HCC). AGP and CRP were measured in serum of 53 HCC patients and 20 liver cirrhosis (LC) patients, in addition to 15 healthy individuals. Area under receiver-operating characteristic curves (AUCs) was used to create a predictive score comprising AGP, CRP, alpha fetoprotein, and albumin. The diagnostic performances of score was determined and compared with AFP alone for the diagnosis of HCC. The combination of AGP, albumin, CRP, and AFP had AUC 0.92 and sensitivity 85% which was higher than AFP alone. The odds ratio of having HCC was 8.4 for AGP, 5.8 for CRP, 12.5 for AFP and 6.5 for albumin. Our score predicted HCC with an OR of 50.6 for HCC. The AUC of score in HCC with single tumor, absent vascular invasion and CLIP score (0-1) were 0.9, 0.9, 0.82, respectively, compared with 0.71, 0.71, 0.68, respectively, for AFP. In conclusion, a non-invasive and simple score based on AGP, CRP, AFP, and albumin could improve the accuracy of HCC diagnosis. PMID:26685049

  7. Sample classroom activities based on climate science

    NASA Astrophysics Data System (ADS)

    Miler, T.

    2009-09-01

    We present several activities developed for the middle school education based on a climate science. The first activity was designed to teach about the ocean acidification. A simple experiment can prove that absorption of CO2 in water increases its acidity. A liquid pH indicator is suitable for the demonstration in a classroom. The second activity uses data containing coordinates of a hurricane position. Pupils draw a path of a hurricane eye in a tracking chart (map of the Atlantic ocean). They calculate an average speed of the hurricane, investigate its direction and intensity development. The third activity uses pictures of the Arctic ocean on September when ice extend is usually the lowest. Students measure the ice extend for several years using a square grid printed on a plastic foil. Then they plot a graph and discuss the results. All these activities can be used to improve the natural science education and increase the climate change literacy.

  8. Oswestry Disability Index Scoring Made Easy

    PubMed Central

    Mehra, A; Baker, D; Disney, S; Pynsent, PB

    2008-01-01

    INTRODUCTION Low back pain effects up to 80% of the population at some time during their active life. Questionnaires are available to help measure pain and disability. The Oswestry Disability Index (ODI) is the most commonly used outcome measure for low back pain. The aim of this study was to see if training in completing the ODI forms improved the scoring accuracy. PATIENTS AND METHODS The last 100 ODI forms completed in a hospital's spinal clinic were reviewed retrospectively and errors in the scoring were identified. Staff members involved in scoring the questionnaire were made aware of the errors and the correct method of scoring explained. A chart was created with all possible scores to aid the staff with scoring. A prospective audit on 50 questionnaires was subsequently performed. RESULTS The retrospective study showed that 33 of the 100 forms had been incorrectly scored. All questionnaires where one or more sections were not completed by the patient were incorrectly scored. A scoring chart was developed and staff training was implemented. This reduced the error rate to 14% in the prospective audit. CONCLUSIONS Clinicians applying outcome measures should read the appropriate literature to ensure they understand the scoring system. Staff must then be given adequate training in the application of the questionnaires. PMID:18598595

  9. A Novel Risk Score to the Prediction of 10-year Risk for Coronary Artery Disease Among the Elderly in Beijing Based on Competing Risk Model

    PubMed Central

    Liu, Long; Tang, Zhe; Li, Xia; Luo, Yanxia; Guo, Jin; Li, Haibin; Liu, Xiangtong; Tao, Lixin; Yan, Aoshuang; Guo, Xiuhua

    2016-01-01

    Abstract The study aimed to construct a risk prediction model for coronary artery disease (CAD) based on competing risk model among the elderly in Beijing and develop a user-friendly CAD risk score tool. We used competing risk model to evaluate the risk of developing a first CAD event. On the basis of the risk factors that were included in the competing risk model, we constructed the CAD risk prediction model with Cox proportional hazard model. Time-dependent receiver operating characteristic (ROC) curve and time-dependent area under the ROC curve (AUC) were used to evaluate the discrimination ability of the both methods. Calibration plots were applied to assess the calibration ability and adjusted for the competing risk of non-CAD death. Net reclassification index (NRI) and integrated discrimination improvement (IDI) were applied to quantify the improvement contributed by the new risk factors. Internal validation of predictive accuracy was performed using 1000 times of bootstrap re-sampling. Of the 1775 participants without CAD at baseline, 473 incident cases of CAD were documented for a 20-year follow-up. Time-dependent AUCs for men and women at t = 10 years were 0.841 [95% confidence interval (95% CI): 0.806–0.877], 0.804 (95% CI: 0.768–0.839) in Fine and Gray model, 0.784 (95% CI: 0.738–0.830), 0.733 (95% CI: 0.692–0.775) in Cox proportional hazard model. The competing risk model was significantly superior to Cox proportional hazard model on discrimination and calibration. The cut-off values of the risk score that marked the difference between low-risk and high-risk patients were 34 points for men and 30 points for women, which have good sensitivity and specificity. A sex-specific multivariable risk factor algorithm-based competing risk model has been developed on the basis of an elderly Chinese cohort, which could be applied to predict an individual's risk and provide a useful guide to identify the groups at a high risk for CAD among the Chinese

  10. Increasing Active Student Responding in a University Applied Behavior Analysis Course: The Effect of Daily Assessment and Response Cards on End of Week Quiz Scores

    ERIC Educational Resources Information Center

    Malanga, Paul R.; Sweeney, William J.

    2008-01-01

    The study compared the effects of daily assessment and response cards on average weekly quiz scores in an introduction to applied behavior analysis course. An alternating treatments design (Kazdin 1982, "Single-case research designs." New York: Oxford University Press; Cooper et al. 2007, "Applied behavior analysis." Upper Saddle River:…

  11. Space based astronomy: Teacher's guide with activities

    NASA Technical Reports Server (NTRS)

    Rosenberg, Carla B. (Editor); Weiler, Edward; Morrow, Cherilyn; Bacon, Pamela M.; Thorne, Muriel; Blanchard, Paul A.; Howard, Sethane; Pengra, Patricia R.; Brown, Deborah A.; Winrich, Ralph

    1994-01-01

    This curriculum guide uses hands-on activities to help students and teachers understand the significance of space-based astronomy - astronomical observations made from outer space. The guide contains few of the traditional activities found in many astronomy guides such as constellation studies, lunar phases, and planetary orbits. Instead, it tells the story of why it is important to observe celestial objects from outer space and how to study the entire electromagnetic spectrum. The guide begins with a survey of astronomy related NASA spacecraft. This is followed by a collection of activities in four units: (1) the atmospheric filter; (2) the electromagnetic spectrum; (3) collecting electromagnetic radiation; and (4) down to Earth. A curriculum index identifies the curriculum areas each activity addresses. The guide concludes with a glossary, reference list, a NASA Resources list, and an evaluation card. It is designed for students in grades 5 through 8.

  12. [The diagnostic scores for deep venous thrombosis].

    PubMed

    Junod, A

    2015-08-26

    Seven diagnostic scores for the deep venous thrombosis (DVT) of lower limbs are analyzed and compared. Two features make this exer- cise difficult: the problem of distal DVT and of their proximal extension and the status of patients, whether out- or in-patients. The most popular score is the Wells score (1997), modi- fied in 2003. It includes one subjective ele- ment based on clinical judgment. The Primary Care score 12005), less known, has similar pro- perties, but uses only objective data. The pre- sent trend is to associate clinical scores with the dosage of D-Dimers to rule out with a good sensitivity the probability of TVP. For the upper limb DVT, the Constans score (2008) is available, which can also be coupled with D-Dimers testing (Kleinjan). PMID:26502582

  13. The Utility of Curriculum-Based Measurement within a Multitiered Framework: Establishing Cut Scores as Predictors of Student Performance on the Alaska Standards-Based Assessment

    ERIC Educational Resources Information Center

    Legg, David E.

    2013-01-01

    The purpose of this study was to explore the relationship between student performance on Reading Curriculum-based Measures (R-CBM) and student performance on the Alaska's standards based assessment (SBA) administered to students in Studied School District (SSD) Grade 3 through Grade 5 students in the Studied School District as required by…

  14. A home-based nutrition and physical activity intervention for grandparents raising grandchildren: a pilot study.

    PubMed

    Kicklighter, Jana R; Whitley, Deborah M; Kelley, Susan J; Lynch, Judith E; Melton, Tamara S

    2009-04-01

    Five African American grandparents raising their grandchildren participated in a home-based nutrition and physical activity intervention. The primary goals were to increase grandparents' knowledge and skills in selecting and preparing healthy foods and to increase the grandparents' and grandchildren's physical activity levels. Results revealed that grandparents' concerns regarding their chronic diseases and desire to prevent health problems in their grandchildren served as motivators. Following the intervention, grandparents scored higher on nutrition and physical activity knowledge and their self-efficacy improved, although most health status indicators remained unchanged. Self-reported changes included walking more, reading food labels, and switching to a healthier type of fat. PMID:21184365

  15. DNA-based control of protein activity

    PubMed Central

    Engelen, W.; Janssen, B. M. G.

    2016-01-01

    DNA has emerged as a highly versatile construction material for nanometer-sized structures and sophisticated molecular machines and circuits. The successful application of nucleic acid based systems greatly relies on their ability to autonomously sense and act on their environment. In this feature article, the development of DNA-based strategies to dynamically control protein activity via oligonucleotide triggers is discussed. Depending on the desired application, protein activity can be controlled by directly conjugating them to an oligonucleotide handle, or expressing them as a fusion protein with DNA binding motifs. To control proteins without modifying them chemically or genetically, multivalent ligands and aptamers that reversibly inhibit their function provide valuable tools to regulate proteins in a noncovalent manner. The goal of this feature article is to give an overview of strategies developed to control protein activity via oligonucleotide-based triggers, as well as hurdles yet to be taken to obtain fully autonomous systems that interrogate, process and act on their environments by means of DNA-based protein control. PMID:26812623

  16. DNA-based control of protein activity.

    PubMed

    Engelen, W; Janssen, B M G; Merkx, M

    2016-03-01

    DNA has emerged as a highly versatile construction material for nanometer-sized structures and sophisticated molecular machines and circuits. The successful application of nucleic acid based systems greatly relies on their ability to autonomously sense and act on their environment. In this feature article, the development of DNA-based strategies to dynamically control protein activity via oligonucleotide triggers is discussed. Depending on the desired application, protein activity can be controlled by directly conjugating them to an oligonucleotide handle, or expressing them as a fusion protein with DNA binding motifs. To control proteins without modifying them chemically or genetically, multivalent ligands and aptamers that reversibly inhibit their function provide valuable tools to regulate proteins in a noncovalent manner. The goal of this feature article is to give an overview of strategies developed to control protein activity via oligonucleotide-based triggers, as well as hurdles yet to be taken to obtain fully autonomous systems that interrogate, process and act on their environments by means of DNA-based protein control. PMID:26812623

  17. Esthetic outcome of implant-based reconstructions in augmented bone: comparison of autologous and allogeneic bone block grafting with the pink esthetic score (PES)

    PubMed Central

    2014-01-01

    Introduction To determine the esthetic outcome of implant-based reconstructions after autologous and allogeneic bone grafting. Methods From 2003 to 2009, 67 patients underwent alveolar ridge augmentation and were enrolled in the study, 41 meet the inclusion criteria and 31 agreed to take part in the study. Patients were 18-69 years old (mean: 49.3 ± 13.8 years), and predominantly female. Patients received bone block grafts either autologous (n = 48) (AUBB) or allografts (ABB) (n = 19). Implants were inserted 4-7 months (autografts) or 5-6 months (allografts) after bone grafting. The Pink Esthetic Score (PES) as well as radiographic and subjective assessments were employed for the outcome analysis. The PES was assessed twice within one month based on digital photographic images that were randomly rearranged between evaluations by three independent, experienced investigators. Results Across all observations and investigators, the average PES was 7.5 ± 2.6 without differences between implants inserted in auto- and allografted bone, respectively. Patients assessed the allograft procedures as less painful and would have repeated it more often. The intra-rater reliability was excellent (correlation coefficients 0.7-0.9). The inter-observer agreement was lower (correlation coefficients 0.6-0.8). Conclusions Bone grafting with ABB allografts yields equivalent results to autologous grafting, and patients appreciate the omission of bone harvesting. The PES is a reliable method but should be performed by the same individual. PMID:24885136

  18. Scoring from Contests

    PubMed Central

    Penn, Elizabeth Maggie

    2014-01-01

    This article presents a new model for scoring alternatives from “contest” outcomes. The model is a generalization of the method of paired comparison to accommodate comparisons between arbitrarily sized sets of alternatives in which outcomes are any division of a fixed prize. Our approach is also applicable to contests between varying quantities of alternatives. We prove that under a reasonable condition on the comparability of alternatives, there exists a unique collection of scores that produces accurate estimates of the overall performance of each alternative and satisfies a well-known axiom regarding choice probabilities. We apply the method to several problems in which varying choice sets and continuous outcomes may create problems for standard scoring methods. These problems include measuring centrality in network data and the scoring of political candidates via a “feeling thermometer.” In the latter case, we also use the method to uncover and solve a potential difficulty with common methods of rescaling thermometer data to account for issues of interpersonal comparability. PMID:24748759

  19. Automated Essay Scoring

    ERIC Educational Resources Information Center

    Dikli, Semire

    2006-01-01

    The impacts of computers on writing have been widely studied for three decades. Even basic computers functions, i.e. word processing, have been of great assistance to writers in modifying their essays. The research on Automated Essay Scoring (AES) has revealed that computers have the capacity to function as a more effective cognitive tool (Attali,…

  20. Developing Scoring Algorithms

    Cancer.gov

    We developed scoring procedures to convert screener responses to estimates of individual dietary intake for fruits and vegetables, dairy, added sugars, whole grains, fiber, and calcium using the What We Eat in America 24-hour dietary recall data from the 2003-2006 NHANES.

  1. Syncopation and the Score

    PubMed Central

    Song, Chunyang; Simpson, Andrew J. R.; Harte, Christopher A.; Pearce, Marcus T.; Sandler, Mark B.

    2013-01-01

    The score is a symbolic encoding that describes a piece of music, written according to the conventions of music theory, which must be rendered as sound (e.g., by a performer) before it may be perceived as music by the listener. In this paper we provide a step towards unifying music theory with music perception in terms of the relationship between notated rhythm (i.e., the score) and perceived syncopation. In our experiments we evaluated this relationship by manipulating the score, rendering it as sound and eliciting subjective judgments of syncopation. We used a metronome to provide explicit cues to the prevailing rhythmic structure (as defined in the time signature). Three-bar scores with time signatures of 4/4 and 6/8 were constructed using repeated one-bar rhythm-patterns, with each pattern built from basic half-bar rhythm-components. Our manipulations gave rise to various rhythmic structures, including polyrhythms and rhythms with missing strong- and/or down-beats. Listeners (N = 10) were asked to rate the degree of syncopation they perceived in response to a rendering of each score. We observed higher degrees of syncopation in time signatures of 6/8, for polyrhythms, and for rhythms featuring a missing down-beat. We also found that the location of a rhythm-component within the bar has a significant effect on perceived syncopation. Our findings provide new insight into models of syncopation and point the way towards areas in which the models may be improved. PMID:24040323

  2. Plant-based active photoprotectants for sunscreens.

    PubMed

    Cefali, L C; Ataide, J A; Moriel, P; Foglio, M A; Mazzola, P G

    2016-08-01

    Excessive exposure to the sun's radiation is the major exogenous mediator of skin damage, which accelerates skin ageing and increases the risk of developing skin cancer. Compounds with photoprotectant activity are extremely useful for decreasing the effect of ultraviolet (UV) radiation on the skin; however, numerous sun filters, especially organic sunscreens, are allergenic. Therefore, the development of formulations containing plant extracts, which may be potentially safer, is extensively being explored. Plant-based cosmetics are commonly used to avoid skin ageing because they contain antioxidant agents that minimize free radical activity, and numerous studies have investigated the skin-protectant effects of related plant species. In addition to their antioxidant properties, plant-based cosmetics protect the skin against solar radiation because they contain polyphenols such as flavonoids and carotenoids. Therefore, this study aims to present a review of plant species commonly used in sunscreens to protect the skin against damage due to sunlight exposure. PMID:26919163

  3. Lunar base activities and the lunar environment

    NASA Technical Reports Server (NTRS)

    Vondrak, Richard R.

    1992-01-01

    The Moon is an attractive site for astronomical observatories and other facilities because of the absence of a substantial lunar atmosphere and the stability of the lunar surface. The present lunar atmosphere is sufficiently transparent that there is no significant image distortion due to absorption or refraction. This thin atmosphere results from a combination of small sources and prompt losses. The major source that has been identified is the solar wind, whose total mass input into the lunar atmosphere is approximately 50 gm/sec. The major components of the solar wind are light elements (H and He) that promptly escape from the lunar surface by exospheric evaporation (Jeans' escape). The principal atmospheric loss mechanism for heavier gases is photoionization within a period of weeks to months, followed by immediate loss to the solar wind. Lunar base activities will modify the lunar atmosphere if gas is released at a larger rate than that now occurring naturally. Possible gas sources are rocket exhaust, processing of lunar materials, venting of pressurized volumes, and astronaut life support systems. For even modest lunar base activity, such sources will substantially exceed natural sources, although effects are expected to be localized and transient. The Apollo database serves as a useful reference for both measurements of the natural lunar environment and its modification by lunar base activities.

  4. Predicting Active Users' Personality Based on Micro-Blogging Behaviors

    PubMed Central

    Hao, Bibo; Guan, Zengda; Zhu, Tingshao

    2014-01-01

    Because of its richness and availability, micro-blogging has become an ideal platform for conducting psychological research. In this paper, we proposed to predict active users' personality traits through micro-blogging behaviors. 547 Chinese active users of micro-blogging participated in this study. Their personality traits were measured by the Big Five Inventory, and digital records of micro-blogging behaviors were collected via web crawlers. After extracting 845 micro-blogging behavioral features, we first trained classification models utilizing Support Vector Machine (SVM), differentiating participants with high and low scores on each dimension of the Big Five Inventory. The classification accuracy ranged from 84% to 92%. We also built regression models utilizing PaceRegression methods, predicting participants' scores on each dimension of the Big Five Inventory. The Pearson correlation coefficients between predicted scores and actual scores ranged from 0.48 to 0.54. Results indicated that active users' personality traits could be predicted by micro-blogging behaviors. PMID:24465462

  5. Predicting active users' personality based on micro-blogging behaviors.

    PubMed

    Li, Lin; Li, Ang; Hao, Bibo; Guan, Zengda; Zhu, Tingshao

    2014-01-01

    Because of its richness and availability, micro-blogging has become an ideal platform for conducting psychological research. In this paper, we proposed to predict active users' personality traits through micro-blogging behaviors. 547 Chinese active users of micro-blogging participated in this study. Their personality traits were measured by the Big Five Inventory, and digital records of micro-blogging behaviors were collected via web crawlers. After extracting 839 micro-blogging behavioral features, we first trained classification models utilizing Support Vector Machine (SVM), differentiating participants with high and low scores on each dimension of the Big Five Inventory [corrected]. The classification accuracy ranged from 84% to 92%. We also built regression models utilizing PaceRegression methods, predicting participants' scores on each dimension of the Big Five Inventory. The Pearson correlation coefficients between predicted scores and actual scores ranged from 0.48 to 0.54. Results indicated that active users' personality traits could be predicted by micro-blogging behaviors. PMID:24465462

  6. The Relation between Factor Score Estimates, Image Scores, and Principal Component Scores

    ERIC Educational Resources Information Center

    Velicer, Wayne F.

    1976-01-01

    Investigates the relation between factor score estimates, principal component scores, and image scores. The three methods compared are maximum likelihood factor analysis, principal component analysis, and a variant of rescaled image analysis. (RC)

  7. Is scoring system of computed tomography based metric parameters can accurately predicts shock wave lithotripsy stone-free rates and aid in the development of treatment strategies?

    PubMed Central

    Badran, Yasser Ali; Abdelaziz, Alsayed Saad; Shehab, Mohamed Ahmed; Mohamed, Hazem Abdelsabour Dief; Emara, Absel-Aziz Ali; Elnabtity, Ali Mohamed Ali; Ghanem, Maged Mohammed; ELHelaly, Hesham Abdel Azim

    2016-01-01

    Objective: The objective was to determine the predicting success of shock wave lithotripsy (SWL) using a combination of computed tomography based metric parameters to improve the treatment plan. Patients and Methods: Consecutive 180 patients with symptomatic upper urinary tract calculi 20 mm or less were enrolled in our study underwent extracorporeal SWL were divided into two main groups, according to the stone size, Group A (92 patients with stone ≤10 mm) and Group B (88 patients with stone >10 mm). Both groups were evaluated, according to the skin to stone distance (SSD) and Hounsfield units (≤500, 500–1000 and >1000 HU). Results: Both groups were comparable in baseline data and stone characteristics. About 92.3% of Group A rendered stone-free, whereas 77.2% were stone-free in Group B (P = 0.001). Furthermore, in both group SWL success rates was a significantly higher for stones with lower attenuation <830 HU than with stones >830 HU (P < 0.034). SSD were statistically differences in SWL outcome (P < 0.02). Simultaneous consideration of three parameters stone size, stone attenuation value, and SSD; we found that stone-free rate (SFR) was 100% for stone attenuation value <830 HU for stone <10 mm or >10 mm but total number SWL sessions and shock waves required for the larger stone group were higher than in the smaller group (P < 0.01). Furthermore, SFR was 83.3% and 37.5% for stone <10 mm, mean HU >830, SSD 90 mm and SSD >120 mm, respectively. On the other hand, SFR was 52.6% and 28.57% for stone >10 mm, mean HU >830, SSD <90 mm and SSD >120 mm, respectively. Conclusion: Stone size, stone density (HU), and SSD is simple to calculate and can be reported by radiologists to applying combined score help to augment predictive power of SWL, reduce cost, and improving of treatment strategies. PMID:27141192

  8. Updated Genetic Score Based on 34 Confirmed Type 2 Diabetes Loci Is Associated With Diabetes Incidence and Regression to Normoglycemia in the Diabetes Prevention Program

    PubMed Central

    Hivert, Marie-France; Jablonski, Kathleen A.; Perreault, Leigh; Saxena, Richa; McAteer, Jarred B.; Franks, Paul W.; Hamman, Richard F.; Kahn, Steven E.; Haffner, Steven; Meigs, James B.; Altshuler, David; Knowler, William C.; Florez, Jose C.

    2011-01-01

    OBJECTIVE Over 30 loci have been associated with risk of type 2 diabetes at genome-wide statistical significance. Genetic risk scores (GRSs) developed from these loci predict diabetes in the general population. We tested if a GRS based on an updated list of 34 type 2 diabetes–associated loci predicted progression to diabetes or regression toward normal glucose regulation (NGR) in the Diabetes Prevention Program (DPP). RESEARCH DESIGN AND METHODS We genotyped 34 type 2 diabetes–associated variants in 2,843 DPP participants at high risk of type 2 diabetes from five ethnic groups representative of the U.S. population, who had been randomized to placebo, metformin, or lifestyle intervention. We built a GRS by weighting each risk allele by its reported effect size on type 2 diabetes risk and summing these values. We tested its ability to predict diabetes incidence or regression to NGR in models adjusted for age, sex, ethnicity, waist circumference, and treatment assignment. RESULTS In multivariate-adjusted models, the GRS was significantly associated with increased risk of progression to diabetes (hazard ratio [HR] = 1.02 per risk allele [95% CI 1.00–1.05]; P = 0.03) and a lower probability of regression to NGR (HR = 0.95 per risk allele [95% CI 0.93–0.98]; P < 0.0001). At baseline, a higher GRS was associated with a lower insulinogenic index (P < 0.001), confirming an impairment in β-cell function. We detected no significant interaction between GRS and treatment, but the lifestyle intervention was effective in the highest quartile of GRS (P < 0.0001). CONCLUSIONS A high GRS is associated with increased risk of developing diabetes and lower probability of returning to NGR in high-risk individuals, but a lifestyle intervention attenuates this risk. PMID:21378175

  9. Use of Renal Replacement Therapy May Influence Graft Outcomes following Liver Transplantation for Acute Liver Failure: A Propensity-Score Matched Population-Based Retrospective Cohort Study

    PubMed Central

    Knight, Stephen R.; Oniscu, Gabriel C.; Devey, Luke; Simpson, Kenneth J.; Wigmore, Stephen J.; Harrison, Ewen M.

    2016-01-01

    Introduction Acute kidney injury is associated with a poor prognosis in acute liver failure but little is known of outcomes in patients undergoing transplantation for acute liver failure who require renal replacement therapy. Methods A retrospective analysis of the United Kingdom Transplant Registry was performed (1 January 2001–31 December 2011) with patient and graft survival determined using Kaplan-Meier methods. Cox proportional hazards models were used together with propensity-score based full matching on renal replacement therapy use. Results Three-year patient and graft survival for patients receiving renal replacement therapy were 77.7% and 72.6% compared with 85.1% and 79.4% for those not requiring renal replacement therapy (P<0.001 and P = 0.009 respectively, n = 725). In a Cox proportional hazards model, renal replacement therapy was a predictor of both patient death (hazard ratio (HR) 1.59, 95% CI 1.01–2.50, P = 0.044) but not graft loss (HR 1.39, 95% CI 0.92–2.10, P = 0.114). In groups fully matched on baseline covariates, those not receiving renal replacement therapy with a serum creatinine greater than 175μmol/L had a significantly worse risk of graft failure than those receiving renal replacement therapy. Conclusion In patients being transplanted for acute liver failure, use of renal replacement therapy is a strong predictor of patient death and graft loss. Those not receiving renal replacement therapy with an elevated serum creatinine may be at greater risk of early graft failure than those receiving renal replacement therapy. A low threshold for instituting renal replacement therapy may therefore be beneficial. PMID:26930637

  10. Effects of Adolescent Childbearing on Maternal Depression and Problem Behaviors: A Prospective, Population-Based Study Using Risk-Set Propensity Scores

    PubMed Central

    Murray, Joseph; Xiong, Shuangyan; Stepp, Stephanie D.; Keenan, Kate E.

    2016-01-01

    Adolescent mothers are reportedly at risk for depression and problem behaviors in the postpartum period, but studies have rarely considered developmental context and have yet to disentangle the effects of childbearing on adolescent functioning from selection effects that are associated with early pregnancy. The current study examined changes in adolescent depression, conduct problems and substance use (alcohol, tobacco and marijuana) across the peripartum period using risk-set propensity scores derived from a population-based, prospective study that began in childhood (the Pittsburgh Girls Study, PGS). Each of 147 childbearing adolescents (ages 12–19) was matched with two same-age, non-childbearing adolescents (n = 294) on pregnancy propensity using 15 time-varying risk variables derived from sociodemographic, psychopathology, substance use, family, peer and neighborhood domains assessed in the PGS wave prior to each pregnancy (T1). Postpartum depression and problem behaviors were assessed within the first 6 months following delivery (T2); data gathered from the non-childbearing adolescent controls spanned the same interval. Within the childbearing group, conduct problems and marijuana use reduced from T1 to T2, but depression severity and frequency of alcohol or tobacco use showed no change. When change was compared across the matched groups, conduct problems showed a greater reduction among childbearing adolescents. Relative to non-childbearing adolescents who reported more frequent substance use with time, childbearing adolescents reported no change in alcohol use and less frequent use of marijuana across the peripartum period. There were no group differences in patterns of change for depression severity and tobacco use. The results do not support the notion that adolescent childbearing represents a period of heightened risk for depression or problem behaviors. PMID:27176826

  11. Association between hyperglycaemic crisis and long-term major adverse cardiovascular events: a nationwide population-based, propensity score-matched, cohort study

    PubMed Central

    Chang, Li-Hsin; Lin, Liang-Yu; Tsai, Ming-Tsun; How, Chorng-Kuang; Chiang, Jen-Huai; Hsieh, Vivian Chia-Rong; Hu, Sung-Yuan; Hsieh, Ming-Shun

    2016-01-01

    Objective Hyperglycaemic crisis was associated with significant intrahospital morbidity and mortality. However, the association between hyperglycaemic crisis and long-term cardiovascular outcomes remained unknown. This study aimed to investigate the association between hyperglycaemic crisis and subsequent long-term major adverse cardiovascular events (MACEs). Participants and methods This population-based cohort study was conducted using data from Taiwan's National Health Insurance Research Database for the period of 1996–2012. A total of 2171 diabetic patients with hyperglycaemic crisis fit the inclusion criteria. Propensity score matching was used to match the baseline characteristics of the study cohort to construct a comparison cohort which comprised 8684 diabetic patients without hyperglycaemic crisis. The risk of long-term MACEs was compared between the two cohorts. Results Six hundred and seventy-six MACEs occurred in the study cohort and the event rate was higher than that in the comparison cohort (31.1% vs 24.1%, p<0.001). Patients with hyperglycaemic crisis were associated with a higher risk of long-term MACEs even after adjusting for all baseline characteristics and medications (adjusted HR=1.76, 95% CI 1.62 to 1.92, p<0.001). Acute myocardial infarction had the highest adjusted HR (adjusted HR=2.19, 95% CI 1.75 to 2.75, p<0.001) in the four types of MACEs, followed by congestive heart failure (adjusted HR=1.97, 95% CI 1.70 to 2.28, p<0.001). Younger patients with hyperglycaemic crisis had a higher risk of MACEs than older patients (adjusted HR=2.69 for patients aged 20–39 years vs adjusted HR=1.58 for patients aged >65 years). Conclusions Hyperglycaemic crisis was significantly associated with long-term MACEs, especially in the young population. Further prospective longitudinal study should be conducted for validation. PMID:27554106

  12. Effects of Adolescent Childbearing on Maternal Depression and Problem Behaviors: A Prospective, Population-Based Study Using Risk-Set Propensity Scores.

    PubMed

    Hipwell, Alison E; Murray, Joseph; Xiong, Shuangyan; Stepp, Stephanie D; Keenan, Kate E

    2016-01-01

    Adolescent mothers are reportedly at risk for depression and problem behaviors in the postpartum period, but studies have rarely considered developmental context and have yet to disentangle the effects of childbearing on adolescent functioning from selection effects that are associated with early pregnancy. The current study examined changes in adolescent depression, conduct problems and substance use (alcohol, tobacco and marijuana) across the peripartum period using risk-set propensity scores derived from a population-based, prospective study that began in childhood (the Pittsburgh Girls Study, PGS). Each of 147 childbearing adolescents (ages 12-19) was matched with two same-age, non-childbearing adolescents (n = 294) on pregnancy propensity using 15 time-varying risk variables derived from sociodemographic, psychopathology, substance use, family, peer and neighborhood domains assessed in the PGS wave prior to each pregnancy (T1). Postpartum depression and problem behaviors were assessed within the first 6 months following delivery (T2); data gathered from the non-childbearing adolescent controls spanned the same interval. Within the childbearing group, conduct problems and marijuana use reduced from T1 to T2, but depression severity and frequency of alcohol or tobacco use showed no change. When change was compared across the matched groups, conduct problems showed a greater reduction among childbearing adolescents. Relative to non-childbearing adolescents who reported more frequent substance use with time, childbearing adolescents reported no change in alcohol use and less frequent use of marijuana across the peripartum period. There were no group differences in patterns of change for depression severity and tobacco use. The results do not support the notion that adolescent childbearing represents a period of heightened risk for depression or problem behaviors. PMID:27176826

  13. The genetics of alcohol dependence: Twin and SNP-based heritability, and genome-wide association study based on AUDIT scores.

    PubMed

    Mbarek, Hamdi; Milaneschi, Yuri; Fedko, Iryna O; Hottenga, Jouke-Jan; de Moor, Marleen H M; Jansen, Rick; Gelernter, Joel; Sherva, Richard; Willemsen, Gonneke; Boomsma, Dorret I; Penninx, Brenda W; Vink, Jacqueline M

    2015-12-01

    Alcohol dependence (AD) is among the most common and costly public health problems contributing to morbidity and mortality throughout the world. In this study, we investigate the genetic basis of AD in a Dutch population using data from the Netherlands Twin Register (NTR) and the Netherlands Study of Depression and Anxiety (NESDA). The presence of AD was ascertained via the Alcohol Use Disorders Identification Test (AUDIT) applying cut-offs with good specificity and sensitivity in identifying those at risk for AD. Twin-based heritability of AD-AUDIT was estimated using structural equation modeling of data in 7,694 MZ and DZ twin pairs. Variance in AD-AUDIT explained by all SNPs was estimated with genome-wide complex trait analysis (GCTA). A genome-wide association study (GWAS) was performed in 7,842 subjects. GWAS SNP effect concordance analysis was performed between our GWAS and a recent AD GWAS using DSM-IV diagnosis. The twin-based heritability of AD-AUDIT was estimated at 60% (55-69%). GCTA showed that common SNPs jointly capture 33% (SE = 0.12, P = 0.002) of this heritability. In the GWAS, the top hits were positioned within four regions (4q31.1, 2p16.1, 6q25.1, 7p14.1) with the strongest association detected for rs55768019 (P = 7.58 × 10(-7) ). This first GWAS of AD using the AUDIT measure found results consistent with previous genetic studies using DSM diagnosis: concordance in heritability estimates and direction of SNPs effect and overlap with top hits from previous GWAS. Thus, the use of appropriate questionnaires may represent cost-effective strategies to phenotype samples in large-scale biobanks or other population-based datasets. PMID:26365420

  14. Web-based Mindfulness-based Cognitive Therapy for reducing residual depressive symptoms: An open trial and quasi-experimental comparison to propensity score matched controls.

    PubMed

    Dimidjian, Sona; Beck, Arne; Felder, Jennifer N; Boggs, Jennifer M; Gallop, Robert; Segal, Zindel V

    2014-09-18

    Mindfulness-based Cognitive Therapy (MBCT) has been shown to effectively prevent relapse and reduce residual depressive symptoms (RDS), yet it faces barriers to dissemination. The present study examined Mindful Mood Balance (MMB), the first web-based approach to deliver the core content of MBCT. Of the 107 recurrently depressed individuals screened, 100 elected to enroll in the study and received MMB in an 8-session open trial with 6-month follow-up. Outcomes included depressive symptom severity, rumination and mindful awareness, and program engagement. A quasi-experimental comparison between MMB participants and propensity matched case-controls receiving usual depression care (UDC) (N = 100) also was conducted. The full sample and the subgroup with residual depressive symptoms (N = 42) showed significantly reduced depressive severity, which was sustained over six months, and improvement on rumination and mindfulness. Examination of acceptability of MMB indicated that 42% of participants within the full sample and 36% of the RDS subgroup completed all 8 sessions and 53% within the full sample and 50% within the RDS subgroup completed at least 4 sessions, and that participants engaged with daily mindfulness practice. MMB also was associated with significant reduction in RDS severity as compared to quasi-experimental propensity matched controls. Although the use of a non-randomized design, with potential unmeasured differences between groups, and short interval of clinical follow-up were limitations, findings from this study support the web-based delivery of MBCT and suggest clinical benefits for participants with histories of depression and with RDS, relative to those receiving usual care alone. PMID:25461782

  15. NAIS: Nuclear activation-based imaging spectroscopy

    SciTech Connect

    Günther, M. M.; Britz, A.; Harres, K.; Hoffmeister, G.; Nürnberg, F.; Otten, A.; Pelka, A.; Roth, M.; Clarke, R. J.; Vogt, K.

    2013-07-15

    In recent years, the development of high power laser systems led to focussed intensities of more than 10{sup 22} W/cm{sup 2} at high pulse energies. Furthermore, both, the advanced high power lasers and the development of sophisticated laser particle acceleration mechanisms facilitate the generation of high energetic particle beams at high fluxes. The challenge of imaging detector systems is to acquire the properties of the high flux beam spatially and spectrally resolved. The limitations of most detector systems are saturation effects. These conventional detectors are based on scintillators, semiconductors, or radiation sensitive films. We present a nuclear activation-based imaging spectroscopy method, which is called NAIS, for the characterization of laser accelerated proton beams. The offline detector system is a combination of stacked metal foils and imaging plates (IP). After the irradiation of the stacked foils they become activated by nuclear reactions, emitting gamma decay radiation. In the next step, an autoradiography of the activated foils using IPs and an analysis routine lead to a spectrally and spatially resolved beam profile. In addition, we present an absolute calibration method for IPs.

  16. Developing clinical competency in crisis event management: an integrated simulation problem-based learning activity.

    PubMed

    Liaw, S Y; Chen, F G; Klainin, P; Brammer, J; O'Brien, A; Samarasekera, D D

    2010-08-01

    This study aimed to evaluate the integration of a simulation based learning activity on nursing students' clinical crisis management performance in a problem-based learning (PBL) curriculum. It was hypothesized that the clinical performance of first year nursing students who participated in a simulated learning activity during the PBL session would be superior to those who completed the conventional problem-based session. The students were allocated into either simulation with problem-based discussion (SPBD) or problem-based discussion (PBD) for scenarios on respiratory and cardiac distress. Following completion of each scenario, students from both groups were invited to sit an optional individual test involving a systematic assessment and immediate management of a simulated patient facing a crisis event. A total of thirty students participated in the first post test related to a respiratory scenario and thirty-three participated in the second post test related to a cardiac scenario. Their clinical performances were scored using a checklist. Mean test scores for students completing the SPBD were significantly higher than those who completing the PBD for both the first post test (SPBD 20.08, PBD 18.19) and second post test (SPBD 27.56, PBD 23.07). Incorporation of simulation learning activities into problem-based discussion appeared to be an effective educational strategy for teaching nursing students to assess and manage crisis events. PMID:19916052

  17. Automated coronary artery calcium scoring from non-contrast CT using a patient-specific algorithm

    NASA Astrophysics Data System (ADS)

    Ding, Xiaowei; Slomka, Piotr J.; Diaz-Zamudio, Mariana; Germano, Guido; Berman, Daniel S.; Terzopoulos, Demetri; Dey, Damini

    2015-03-01

    Non-contrast cardiac CT is used worldwide to assess coronary artery calcium (CAC), a subclinical marker of coronary atherosclerosis. Manual quantification of regional CAC scores includes identifying candidate regions, followed by thresholding and connected component labeling. We aimed to develop and validate a fully-automated, algorithm for both overall and regional measurement of CAC scores from non-contrast CT using a hybrid multi-atlas registration, active contours and knowledge-based region separation algorithm. A co-registered segmented CT atlas was created from manually segmented non-contrast CT data from 10 patients (5 men, 5 women) and stored offline. For each patient scan, the heart region, left ventricle, right ventricle, ascending aorta and aortic root are located by multi-atlas registration followed by active contours refinement. Regional coronary artery territories (left anterior descending artery, left circumflex artery and right coronary artery) are separated using a knowledge-based region separation algorithm. Calcifications from these coronary artery territories are detected by region growing at each lesion. Global and regional Agatston scores and volume scores were calculated in 50 patients. Agatston scores and volume scores calculated by the algorithm and the expert showed excellent correlation (Agatston score: r = 0.97, p < 0.0001, volume score: r = 0.97, p < 0.0001) with no significant differences by comparison of individual data points (Agatston score: p = 0.30, volume score: p = 0.33). The total time was <60 sec on a standard computer. Our results show that fast accurate and automated quantification of CAC scores from non-contrast CT is feasible.

  18. Young Male Patients with Atrial Fibrillation and CHA2DS2-VASc Score of 1 May Not Need Anticoagulants: A Nationwide Population-Based Study

    PubMed Central

    Chang, Shang-Hung; Lee, Hsin-Fu; Liu, Jia-Rou; See, Lai-Chu; Yeh, Yung-Hsin; Kuo, Chi-Tai

    2016-01-01

    Background It is unclear whether oral anticoagulants are beneficial for atrial fibrillation (AF) patients with low CHA2DS2-VASc score. Age could be important in determining the risk of thromboembolism in low risk AF patients (CHA2DS2-VASc score of 1 for male or 2 for female). Methods The Taiwan National Health Insurance Research Database (NHIRD) was used and 27,521 AF patients with CHA2DS2-VASc score of 1 (male) or 2 (female) not receiving anticoagulants were acquired as the study cohort, which were classified into three age groups: 20–49, 50–64, and 65–74 years. The clinical endpoint was the occurrence of ischemic thromboembolism within one year of follow up. Results During the follow-up of 0.94 ± 0.19 years, 385 (2.19%) male patients experienced ischemic thromboembolism, with annual rate of 2.32%. The annual risk ranged from 1.29%, 2.43% to 2.77% for male patients aged 20–49, 50–64 and 65–74 years respectively. Of the female patients, 218 (2.20%) experienced clinical event with annual rate of 2.32%. The annual risk increased from 1.87%, 2.28% to 2.64% for female patients aged 20–49, 50–64 and 65–74 years respectively. There was no difference in risk between the male patients aged 20–49 years with CHA2DS2-VASc score of 1 and overall male patients with CHA2DS2-VASc score of 0. (P = 0.631) The female patients aged 20–49 years with CHA2DS2-VASc score of 2 was associated with a higher risk of thromboembolic events than overall female patients with CHA2DS2-VASc score of 1 (HR = 1.93; P = 0.008). Conclusions Age is important in determining the risk of thromboembolism in AF patients with single risk factor. In male patients <50 years old with CHA2DS2-VASc score of 1, the risk of ischemic thromboembolism was low. Considering the benefits and the risk of bleeding, oral anticoagulation therapy may not be favorable in these patients. PMID:26986069

  19. Antimicrobial Activity of Carbon-Based Nanoparticles

    PubMed Central

    Maleki Dizaj, Solmaz; Mennati, Afsaneh; Jafari, Samira; Khezri, Khadejeh; Adibkia, Khosro

    2015-01-01

    Due to the vast and inappropriate use of the antibiotics, microorganisms have begun to develop resistance to the commonly used antimicrobial agents. So therefore, development of the new and effective antimicrobial agents seems to be necessary. According to some recent reports, carbon-based nanomaterials such as fullerenes, carbon nanotubes (CNTs) (especially single-walled carbon nanotubes (SWCNTs)) and graphene oxide (GO) nanoparticles show potent antimicrobial properties. In present review, we have briefly summarized the antimicrobial activity of carbon-based nanoparticles together with their mechanism of action. Reviewed literature show that the size of carbon nanoparticles plays an important role in the inactivation of the microorganisms. As major mechanism, direct contact of microorganisms with carbon nanostructures seriously affects their cellular membrane integrity, metabolic processes and morphology. The antimicrobial activity of carbon-based nanostructures may interestingly be investigated in the near future owing to their high surface/volume ratio, large inner volume and other unique chemical and physical properties. In addition, application of functionalized carbon nanomaterials as carriers for the ordinary antibiotics possibly will decrease the associated resistance, enhance their bioavailability and provide their targeted delivery. PMID:25789215

  20. Localizing Region-Based Active Contours

    PubMed Central

    Lankton, Shawn; Tannenbaum, Allen

    2009-01-01

    In this paper, we propose a natural framework that allows any region-based segmentation energy to be re-formulated in a local way. We consider local rather than global image statistics and evolve a contour based on local information. Localized contours are capable of segmenting objects with heterogeneous feature profiles that would be difficult to capture correctly using a standard global method. The presented technique is versatile enough to be used with any global region-based active contour energy and instill in it the benefits of localization. We describe this framework and demonstrate the localization of three well-known energies in order to illustrate how our framework can be applied to any energy. We then compare each localized energy to its global counterpart to show the improvements that can be achieved. Next, an in-depth study of the behaviors of these energies in response to the degree of localization is given. Finally, we show results on challenging images to illustrate the robust and accurate segmentations that are possible with this new class of active contour models. PMID:18854247

  1. Human body contour data based activity recognition.

    PubMed

    Myagmarbayar, Nergui; Yuki, Yoshida; Imamoglu, Nevrez; Gonzalez, Jose; Otake, Mihoko; Yu, Wenwei

    2013-01-01

    This research work is aimed to develop autonomous bio-monitoring mobile robots, which are capable of tracking and measuring patients' motions, recognizing the patients' behavior based on observation data, and providing calling for medical personnel in emergency situations in home environment. The robots to be developed will bring about cost-effective, safe and easier at-home rehabilitation to most motor-function impaired patients (MIPs). In our previous research, a full framework was established towards this research goal. In this research, we aimed at improving the human activity recognition by using contour data of the tracked human subject extracted from the depth images as the signal source, instead of the lower limb joint angle data used in the previous research, which are more likely to be affected by the motion of the robot and human subjects. Several geometric parameters, such as, the ratio of height to weight of the tracked human subject, and distance (pixels) between centroid points of upper and lower parts of human body, were calculated from the contour data, and used as the features for the activity recognition. A Hidden Markov Model (HMM) is employed to classify different human activities from the features. Experimental results showed that the human activity recognition could be achieved with a high correct rate. PMID:24111015

  2. Scoring Dawg Core Breakoff and Retention Mechanism

    NASA Technical Reports Server (NTRS)

    Badescu, Mircea; Sherrit, Stewart; Bar-Cohen, Yoseph; Bao, Xiaoqi; Backes, Paul G.

    2011-01-01

    This novel core break-off and retention mechanism consists of a scoring dawg controlled by a set of two tubes (a drill tube and an inner tube). The drill tube and the inner tube have longitudinal concentric holes. The solution can be implemented in an eccentric tube configuration as well where the tubes have eccentric longitudinal holes. The inner tube presents at the bottom two control surfaces for controlling the orientation of the scoring dawg. The drill tube presents a sunk-in profile on the inside of the wall for housing the scoring dawg. The inner tube rotation relative to the drill tube actively controls the orientation of the scoring dawg and hence its penetration and retrieval from the core. The scoring dawg presents a shaft, two axially spaced arms, and a tooth. The two arms slide on the control surfaces of the inner tube. The tooth, when rotated, can penetrate or be extracted from the core. During drilling, the two tubes move together maintaining the scoring dawg completely outside the core. After the desired drilling depth has been reached the inner tube is rotated relative to the drill tube such that the tooth of the scoring dawg moves toward the central axis. By rotating the drill tube, the scoring dawg can score the core and so reduce its cross sectional area. The scoring dawg can also act as a stress concentrator for breaking the core in torsion or tension. After breaking the core, the scoring dawg can act as a core retention mechanism. For scoring, it requires the core to be attached to the rock. If the core is broken, the dawg can be used as a retention mechanism. The scoring dawg requires a hard-tip insert like tungsten carbide for scoring hard rocks. The relative rotation of the two tubes can be controlled manually or by an additional actuator. In the implemented design solution the bit rotation for scoring was in the same direction as the drilling. The device was tested for limestone cores and basalt cores. The torque required for breaking the

  3. Effects of the Pre-K Program of Kalamazoo County Ready 4s on Kindergarten Entry Test Scores: Estimates Based on Data from the Fall of 2011 and the Fall of 2012. Upjohn Institute Working Paper No. 13-198

    ERIC Educational Resources Information Center

    Bartik, Timothy J.

    2013-01-01

    This paper uses a regression discontinuity model to examine the effects on kindergarten entrance assessments of the Kalamazoo County Ready 4s (KC Ready 4s) program, a half-day pre-K program for four-year-olds in Kalamazoo County, Michigan. The results are based on test scores and other characteristics of up to 220 children participating in KC…

  4. Performance of Fourth-Grade Students in the 2012 NAEP Computer-Based Writing Pilot Assessment: Scores, Text Length, and Use of Editing Tools. Working Paper Series. NCES 2015-119

    ERIC Educational Resources Information Center

    White, Sheida; Kim, Young Yee; Chen, Jing; Liu, Fei

    2015-01-01

    This study examined whether or not fourth-graders could fully demonstrate their writing skills on the computer and factors associated with their performance on the National Assessment of Educational Progress (NAEP) computer-based writing assessment. The results suggest that high-performing fourth-graders (those who scored in the upper 20 percent…

  5. The activity-based anorexia mouse model.

    PubMed

    Klenotich, Stephanie J; Dulawa, Stephanie C

    2012-01-01

    Animals housed with running wheels and subjected to daily food restriction show paradoxical reductions in food intake and increases in running wheel activity. This phenomenon, known as activity-based anorexia (ABA), leads to marked reductions in body weight that can ultimately lead to death. Recently, ABA has been proposed as a model of anorexia nervosa (AN). AN affects about 8 per 100,000 females and has the highest mortality rate among all psychiatric illnesses. Given the reductions in quality of life, high mortality rate, and the lack of pharmacological treatments for AN, a better understanding of the mechanisms underlying AN-like behavior is greatly needed. This chapter provides basic guidelines for conducting ABA experiments using mice. The ABA mouse model provides an important tool for investigating the neurobiological underpinnings of AN-like behavior and identifying novel treatments. PMID:22231828

  6. Activity-Based Protein Profiling of Microbes

    SciTech Connect

    Sadler, Natalie C.; Wright, Aaron T.

    2015-02-01

    Activity-Based Protein Profiling (ABPP) in conjunction with multimodal characterization techniques has yielded impactful findings in microbiology, particularly in pathogen, bioenergy, drug discovery, and environmental research. Using small molecule chemical probes that react irreversibly with specific proteins or protein families in complex systems has provided insights in enzyme functions in central metabolic pathways, drug-protein interactions, and regulatory protein redox, for systems ranging from photoautotrophic cyanobacteria to mycobacteria, and combining live cell or cell extract ABPP with proteomics, molecular biology, modeling, and other techniques has greatly expanded our understanding of these systems. New opportunities for application of ABPP to microbial systems include: enhancing protein annotation, characterizing protein activities in myriad environments, and reveal signal transduction and regulatory mechanisms in microbial systems.

  7. Active-imaging-based underwater navigation

    NASA Astrophysics Data System (ADS)

    Monnin, David; Schmitt, Gwenaël.; Fischer, Colin; Laurenzis, Martin; Christnacher, Frank

    2015-10-01

    Global navigation satellite systems (GNSS) are widely used for the localization and the navigation of unmanned and remotely operated vehicles (ROV). In contrast to ground or aerial vehicles, GNSS cannot be employed for autonomous underwater vehicles (AUV) without the use of a communication link to the water surface, since satellite signals cannot be received underwater. However, underwater autonomous navigation is still possible using self-localization methods which determines the relative location of an AUV with respect to a reference location using inertial measurement units (IMU), depth sensors and even sometimes radar or sonar imaging. As an alternative or a complementary solution to common underwater reckoning techniques, we present the first results of a feasibility study of an active-imaging-based localization method which uses a range-gated active-imaging system and can yield radiometric and odometric information even in turbid water.

  8. Ligand and structure-based approaches for the identification of SIRT1 activators.

    PubMed

    Vyas, Vivek K; Goel, Ashutosh; Ghate, Manjunath; Patel, Palak

    2015-02-25

    SIRT1 is a NAD(+)-dependent deacetylase that involved in various important metabolic pathways. Combined ligand and structure-based approach was utilized for identification of SIRT1 activators. Pharmacophore models were developed using DISCOtech and refined with GASP module of Sybyl X software. Pharmacophore models were composed of two hydrogen bond acceptor (HBA) atoms, two hydrogen bond donor (HBD) sites and one hydrophobic (HY) feature. The pharmacophore models were validated through receiver operating characteristic (ROC) and Güner-Henry (GH) scoring methods. Model-2 was selected as best model among the model 1-3, based on ROC and GH score value, and found reliable in identification of SIRT1 activators. Model-2 (3D search query) was searched against Zinc database. Several compounds with different chemical scaffold were retrieved as hits. Currently, there is no experimental SIRT1 3D structure available, therefore, we modeled SIRT1 protein structure using homology modeling. Compounds with Qfit value of more than 86 were selected for docking study into the SIRT1 homology model to explore the binding mode of retrieved hits in the active allosteric site. Finally, in silico ADMET prediction study was performed with two best docked compounds. Combination of ligand and structure-based modeling methods identified active hits, which may be good lead compounds to develop novel SIRT1 activators. PMID:25595223

  9. Market-based control of active surfaces

    NASA Astrophysics Data System (ADS)

    Berlin, Andrew A.; Hogg, Tad; Jackson, Warren B.

    1998-12-01

    This paper describes a market-based approach to controlling a smart matter-based object transport system, in which an array of distributed air jets applies forces to levitate and control the motion of a planar object. In the smart matter regime, the effects of spatial and temporal variation of operating parameters among a multiplicity of sensor, actuators, and controllers make it desirable for a control strategy to exhibit a minimal dependence on system models, and to be able to arbitrate among conflicting goals. A market-based strategy is introduced that aggregates the control requirements of multiple relatively simple local controllers, each of which seeks to optimize the performance of the system within a limited spatial and temporal range. These local controllers act as the market's consumers, and two sets of distributed air jets act as the producers. Experiments are performed comparing the performance of the market-based strategy to a near-optimal model-derived benchmark, as well as to a hand-tuned PD controller. Results indicate that even though the local controllers in the market are not based on a detailed model of the system dynamics, the market is able to effectively approximate the performance of the model-based benchmark. In certain specialized cases, such as tracking a step trajectory, the performance of the market surpasses the performance of the model-based benchmark by balancing the needs of conflicting control goals. A brief overview of the active surface smart matter prototype being developed at Xerox PARC that is the motivation behind this work is also presented.

  10. A Theory-Based Comparison of the Reliabilities of Fixed-Length and Trials-to-Criterion Scoring of Physical Education Skills Tests.

    ERIC Educational Resources Information Center

    Feldt, Leonard S.; Spray, Judith A.

    1983-01-01

    The reliabilities of two types of measurement plans were compared across six hypothetical distributions of true scores or abilities. The measurement plans were: (1) fixed-length, where the number of trials for all examinees is set in advance; and (2) trials-to-criterion, where examinees must keep trying until they complete a given number of trials…

  11. A comparative study of the Louisiana Graduation Exit Exam science scores and student achievement based on block, modified block, and traditional bell schedules

    NASA Astrophysics Data System (ADS)

    Buczala, Deanna Marie

    The purpose of this study was to investigate the relationships among bell schedules, GEE 21 science scores, and cumulative GPAs. Factors under consideration included teacher perspective, gender, ethnicity and students' at-risk status. The researcher collected data from the Louisiana Department of Education (LDE) targeting seven schools for three types of bell schedules---traditional, modified block, and block. From each school, the cumulative GPAs and GEF 21 science scores of up to 50 randomly selected students were analyzed. The effectiveness of different bells schedules on student achievement has resulted in conflicting data. Some educators feel that block scheduling will provide teachers with more time to engage students in higher-order thinking problems and to better engage them in the content material, thus improving student achievement overall (Gullatt, 2006). Some studies found that block scheduling provides students the opportunity to spend more time examining a subject with greater detail for a longer period of continuous time. Other studies have found that students on traditional schedules outperform block scheduled students on high stakes testing (Veal & Schreiber, 1999). Using a causal-comparative research design, the researcher examined the effect of three different bell schedules on student cumulative GPAS and GEE 21 science scores. The cumulative GPAs for the students were used to determine if there was a difference in the achievement level for students taught using different bell schedules. The GEE 21 science scores were also assessed for possible differences in learning science across various bell schedules.

  12. A Comparative Study of the Louisiana Graduation Exit Exam Science Scores and Student Achievement Based on Block, Modified Block, and Traditional Bell Schedules

    ERIC Educational Resources Information Center

    Buczala, Deanna Marie

    2010-01-01

    The purpose of this study was to investigate the relationships among bell schedules, GEE 21 science scores, and cumulative GPAs. Factors under consideration included teacher perspective, gender, ethnicity and students' at-risk status. The researcher collected data from the Louisiana Department of Education (LDE) targeting seven schools for three…

  13. Genetic predisposition to coronary heart disease and stroke using an additive genetic risk score: a population-based study in Greece

    Technology Transfer Automated Retrieval System (TEKTRAN)

    Objective: To determine the extent to which the risk for incident coronary heart disease (CHD) increases in relation to a genetic risk score (GRS) that additively integrates the influence of high-risk alleles in nine documented single nucleotide polymorphisms (SNPs) for CHD, and to examine whether t...

  14. Model feedback in Bayesian propensity score estimation.

    PubMed

    Zigler, Corwin M; Watts, Krista; Yeh, Robert W; Wang, Yun; Coull, Brent A; Dominici, Francesca

    2013-03-01

    Methods based on the propensity score comprise one set of valuable tools for comparative effectiveness research and for estimating causal effects more generally. These methods typically consist of two distinct stages: (1) a propensity score stage where a model is fit to predict the propensity to receive treatment (the propensity score), and (2) an outcome stage where responses are compared in treated and untreated units having similar values of the estimated propensity score. Traditional techniques conduct estimation in these two stages separately; estimates from the first stage are treated as fixed and known for use in the second stage. Bayesian methods have natural appeal in these settings because separate likelihoods for the two stages can be combined into a single joint likelihood, with estimation of the two stages carried out simultaneously. One key feature of joint estimation in this context is "feedback" between the outcome stage and the propensity score stage, meaning that quantities in a model for the outcome contribute information to posterior distributions of quantities in the model for the propensity score. We provide a rigorous assessment of Bayesian propensity score estimation to show that model feedback can produce poor estimates of causal effects absent strategies that augment propensity score adjustment with adjustment for individual covariates. We illustrate this phenomenon with a simulation study and with a comparative effectiveness investigation of carotid artery stenting versus carotid endarterectomy among 123,286 Medicare beneficiaries hospitlized for stroke in 2006 and 2007. PMID:23379793

  15. Enhancing In Silico Protein-Based Vaccine Discovery for Eukaryotic Pathogens Using Predicted Peptide-MHC Binding and Peptide Conservation Scores

    PubMed Central

    Goodswen, Stephen J.; Kennedy, Paul J.; Ellis, John T.

    2014-01-01

    Given thousands of proteins constituting a eukaryotic pathogen, the principal objective for a high-throughput in silico vaccine discovery pipeline is to select those proteins worthy of laboratory validation. Accurate prediction of T-cell epitopes on protein antigens is one crucial piece of evidence that would aid in this selection. Prediction of peptides recognised by T-cell receptors have to date proved to be of insufficient accuracy. The in silico approach is consequently reliant on an indirect method, which involves the prediction of peptides binding to major histocompatibility complex (MHC) molecules. There is no guarantee nevertheless that predicted peptide-MHC complexes will be presented by antigen-presenting cells and/or recognised by cognate T-cell receptors. The aim of this study was to determine if predicted peptide-MHC binding scores could provide contributing evidence to establish a protein’s potential as a vaccine. Using T-Cell MHC class I binding prediction tools provided by the Immune Epitope Database and Analysis Resource, peptide binding affinity to 76 common MHC I alleles were predicted for 160 Toxoplasma gondii proteins: 75 taken from published studies represented proteins known or expected to induce T-cell immune responses and 85 considered less likely vaccine candidates. The results show there is no universal set of rules that can be applied directly to binding scores to distinguish a vaccine from a non-vaccine candidate. We present, however, two proposed strategies exploiting binding scores that provide supporting evidence that a protein is likely to induce a T-cell immune response–one using random forest (a machine learning algorithm) with a 72% sensitivity and 82.4% specificity and the other, using amino acid conservation scores with a 74.6% sensitivity and 70.5% specificity when applied to the 160 benchmark proteins. More importantly, the binding score strategies are valuable evidence contributors to the overall in silico vaccine

  16. Evolution of Framingham cardiovascular risk score in HIV-infected patients initiating EFV- and LPV/r-based HAART in a Latin American cohort

    PubMed Central

    Cecchini, Diego; Ines Mattioli, Maria; Cassetti, Julia; Chan, Debora; Cassetti, Isabel

    2014-01-01

    Introduction Epidemiological studies suggest that some antiretroviral drugs may contribute to increase cardiovascular risk in HIV-infected patients. However, data from Latin American countries are limited, as impact of HAART on cardiovascular risk remains understudied. In this context, we aimed to evaluate if 10-year Framingham Cardiovascular Risk Score (FCRS) increases in patients following exposure to EFV- and LPV/r-based HAART in a Latin American cohort. Materials and Methods Retrospective 48-week cohort study. We reviewed clinical charts of randomly selected samples of patients initiating (according to national guidelines) EFV first-line HAART and LPV/r first- or second-line (but first PI-based) HAART assisted at a reference HIV centre in Buenos Aires, Argentina (period 2004–2012). Each patient could only be included in one arm. FCRS was calculated according to National Institutes of Health risk assessment tool (http://cvdrisk.nhlbi.nih.gov/). Results A total of 357 patients were included: 249 in EFV arm and 108 in LPV/r arm (80 as first line and 28 as second line, but first PI-based HAART). Baseline characteristics (median, interquartile range): age, 38 (33–45) years; male, 247 (69%); viral load, 98200 (20550–306000) copies/mL; CD4 T-cell count, 115 (60–175) cel/µL; total cholesterol, 159 (135–194) mg/dL; HDL: 39 (31–41) mg/dL; LDL: 94 (72–123) mg/dL; current smoker, 29%; on antihypertensive drugs: 14 (4%), diabetic: 4 (1%). Most frequent accompanying nucleoside reverse transcriptase inhibitors (NRTIs) were 3TC (92%) and zidovudine (AZT; 76%). Baseline FCRS was low, moderate and high for 93%, 7% and 0% of patients on EFV arm and 96.7%, 1.7% and 1.7% on LPV/r arm. On EFV arm, an increase in FCRS category (low to moderate or moderate to high) was observed in 1 patient (0.9%) at 24 weeks and 6 (5,6%) at 48 weeks; 5 (4.7%) decreased category. On LPV/r arm no one varied FCRS category at 24 weeks and 2 (3.4%) increased from low to moderate at 48 weeks

  17. Effectiveness of Automated Chinese Sentence Scoring with Latent Semantic Analysis

    ERIC Educational Resources Information Center

    Liao, Chen-Huei; Kuo, Bor-Chen; Pai, Kai-Chih

    2012-01-01

    Automated scoring by means of Latent Semantic Analysis (LSA) has been introduced lately to improve the traditional human scoring system. The purposes of the present study were to develop a LSA-based assessment system to evaluate children's Chinese sentence construction skills and to examine the effectiveness of LSA-based automated scoring function…

  18. Reliability of Total Test Scores When Considered as Ordinal Measurements

    ERIC Educational Resources Information Center

    Biswas, Ajoy Kumar

    2006-01-01

    This article studies the ordinal reliability of (total) test scores. This study is based on a classical-type linear model of observed score (X), true score (T), and random error (E). Based on the idea of Kendall's tau-a coefficient, a measure of ordinal reliability for small-examinee populations is developed. This measure is extended to large…

  19. Effects of precalving body condition score and prepartum feeding level on production, reproduction, and health parameters in pasture-based transition dairy cows.

    PubMed

    Roche, J R; Meier, S; Heiser, A; Mitchell, M D; Walker, C G; Crookenden, M A; Riboni, M Vailati; Loor, J J; Kay, J K

    2015-10-01

    Precalving feeding level alters postcalving energy balance, dry matter intake, the liver and adipose tissue transcriptome, hepatic lipidosis, and the risk of metabolic diseases in both high-production cows consuming total mixed rations and moderate-production cows grazing pasture. We hypothesized that the reported benefits of a controlled restriction before calving are dependent on precalving body condition score (BCS): low BCS animals would not benefit from reduced feeding levels precalving, but high BCS cows would have metabolic and immunomodulatory profiles indicative of an improved health status. One hundred sixty-one days before calving, 150 cows were allocated randomly to 1 of 6 treatment groups (n = 25) in a 2 × 3 factorial arrangement: 2 precalving BCS categories (4.0 and 5.0; based on a 10-point scale: BCS4 and BCS5, respectively) and 3 levels of energy intake during the 3 wk preceding calving (75, 100, and 125% of estimated requirements). Cows in the BCS4 and BCS5 groups were managed through late lactation to ensure that target calving BCS was achieved at dry off. Cows were then fed to maintain this BCS target until 3 wk before expected calving date, at which point they were managed within their allotted precalving energy intake treatments by offering different allowances of fresh pasture/cow per day. Milk production, body weight, and BCS were measured weekly; blood was sampled weekly before and after calving and on d 0, 1, 2, 3, and 4 relative to calving. Aspirated plasma was assayed for nonesterified fatty acids, β-hydroxybutyrate, total protein, albumin, cholesterol, haptoglobin, IL-1β, IL-6, total antioxidant capacity, and reactive oxygen species. Liver was sampled wk 1, 2, and 4 postcalving for triacylglycerol analysis. Results confirm that precalving BCS and precalving feeding level have both independent and interdependent effects on production and health characteristics of transition dairy cows. Irrespective of precalving BCS, a controlled

  20. Selection criteria for radiofrequency ablation for colorectal liver metastases in the era of effective systemic therapy: a clinical score based proposal

    PubMed Central

    2014-01-01

    Background At present, there are no widely accepted criteria for the use of radiofrequency ablation (RFA) for the treatment of colorectal liver metastases (CLM) in the context of effective modern-agent therapies. We aimed to define selection criteria for patients with liver-limited CLM who may benefit from adding RFA to systemic therapy with respect to long-term disease control. Methods Between 2002 and 2007, 88 consecutive patients received RFA for liver-only CLM during partial remission (PR), stable disease (SD), or progressive disease (PD) after systemic therapy. At a median follow-up of 8.2 years (range 5.2-11.1 years), clinical data were correlated to overall survival (OS) and recurrence-free survival (RFS). Results Poor OS and RFS correlated significantly with PD to systemic therapy before RFA (HR 5.46; p < 0.0001; and HR 6.46; p < 0.0001), number of ≥4 CLM (HR 3.13; p = 0.0005; and HR 1.77; p = 0.0389), and carcinoembryonic antigen (CEA) level of ≥100 ng/ml (HR 1.67; p = 0.032; and HR 1.67; p = 0.044). The presence of four criteria (PR, ≤3 CLM, ≤3 cm maximum size, and CEA ≤100 ng/ml) selected a subgroup (n = 23) with significantly higher probabilities for OS and RFS at 5 years (39% and 22%,respectively) compared to those without any or up 3 of these criteria (0-27% and 0-9%, p < 0.001, respectively). Conclusions A score based on four criteria (response to systemic therapy, ≤3 CLM, ≤3 cm size, low CEA value) may allow to select patients with liver-only CLM for whom additional use of RFA most likely adds benefit in an attempt to achieve long-term disease control. Almost one-fourth of patients fulfilling these four criteria may achieve 5-year survival without disease recurrence following effective systemic plus local RFA treatment. PMID:25016394

  1. Support vector regression scoring of receptor-ligand complexes for rank-ordering and virtual screening of chemical libraries.

    PubMed

    Li, Liwei; Wang, Bo; Meroueh, Samy O

    2011-09-26

    The community structure-activity resource (CSAR) data sets are used to develop and test a support vector machine-based scoring function in regression mode (SVR). Two scoring functions (SVR-KB and SVR-EP) are derived with the objective of reproducing the trend of the experimental binding affinities provided within the two CSAR data sets. The features used to train SVR-KB are knowledge-based pairwise potentials, while SVR-EP is based on physicochemical properties. SVR-KB and SVR-EP were compared to seven other widely used scoring functions, including Glide, X-score, GoldScore, ChemScore, Vina, Dock, and PMF. Results showed that SVR-KB trained with features obtained from three-dimensional complexes of the PDBbind data set outperformed all other scoring functions, including best performing X-score, by nearly 0.1 using three correlation coefficients, namely Pearson, Spearman, and Kendall. It was interesting that higher performance in rank ordering did not translate into greater enrichment in virtual screening assessed using the 40 targets of the Directory of Useful Decoys (DUD). To remedy this situation, a variant of SVR-KB (SVR-KBD) was developed by following a target-specific tailoring strategy that we had previously employed to derive SVM-SP. SVR-KBD showed a much higher enrichment, outperforming all other scoring functions tested, and was comparable in performance to our previously derived scoring function SVM-SP. PMID:21728360

  2. Activity-based costing for electric utilities

    SciTech Connect

    Croyle, D.R.; Schapiro, I.A.; Keglevic, P.M. )

    1992-08-01

    This EPRI report is a primer'' on Activity-Based Costing (ABC). ABC is a cost management aproach which can make an important contribution to understanding and controlling the changing costs in the electric utility industry. It is a method for attributing costs to activities, products and services by better understanding the underlying factors which drive those costs. ABC can help utility managers make better decisions through the application of more accurate process and product cost information and a fuller understanding of which activities add value and which do not. Armed with such information, utility managers are better equipped to address many of the strategic and operating decisions which they routinely face. The report introduces the ABC concept and approach to utility managers and offers insights into how ABC can be and is being used to control costs and improve strategic and operating decisions in electric utilities and other industries. The report (1) describes the ABC approach, (2) discusses the value of ABC to elecuic utilities, (3) identifies potential applications of ABC to current utility issues, (4) describes a step-by-step approach to developing and implementing ABC in the utility environment, and (5) presents a survey of more than 30 electric utilities and several detailed case studies of electric utilities and other companies who have adopted and are using ABC.

  3. Psychometric analysis of the Functional Independence Score in Haemophilia (FISH).

    PubMed

    Poonnoose, P M; Thomas, R; Keshava, S N; Cherian, R S; Padankatti, S; Pazani, D; Kavitha, M L; Devadarasini, M; Bhattacharji, S; Viswabandya, A; John, J A; Macaden, A S; Mathews, V; Srivastava, A

    2007-09-01

    Joint morbidity in haemophilia has traditionally been measured using clinical and radiological scores. There have been no reliable, validated tools for the assessment of functional independence in persons with haemophilia till recently. The Functional Independence Score in Haemophilia (FISH) has been developed as a performance based assessment tool to address this need. The FISH is designed to measure the patient's independence in performing activities of daily living (grooming and eating, bathing and dressing), transfers (chair and floor), and mobility (walking, step climbing and running). On assessment of its psychometric properties in 63 patients with haemophilia (mean age 14 years), FISH was found to have good internal consistency (Cronbach's alpha of 0.85). It had moderate correlation with the World Federation of Hemophilia clinical score (r = -0.61), and a correlation with the Pettersson score of -0.38. It had good correlation with other self-rated functional scores, such as the Stanford Health Assessment Questionnaire (r = -0.75); the Western Ontario and McMaster Universities Osteoarthritis Index (r = -0.66) and the Haemophilia Activities List (HAL) (r = -0.66). It had good reliability with a pooled intra class correlation of 0.98. On assessing responsiveness following treatment of flexion deformities of the knee in 12 patients, the FISH showed significant changes in the score with a standardized responsiveness mean of -1.93. In conclusion, the FISH was found to be a reliable and valid tool with good internal consistency and responsiveness to therapy, for the assessment of functional independence in persons with haemophilia. PMID:17880453

  4. Activity Based Startup Plan for Prototype Vertical Denitration Calciner

    SciTech Connect

    SUTTER, C.S.

    1999-08-31

    Testing activities on the Prototype Vertical Denitration Calciner at PFP were suspended in January 1997 due to the hold on fissile material handling in the facility. The restart of testing activities will require a review through an activity based startup process based upon Integrated Safety Management (ISM) principles to verify readiness. The Activity Based Startup Plan has been developed for this process.

  5. Development and Validation of a Symptom-Based Activity Index for Adults with Eosinophilic Esophagitis

    PubMed Central

    Schoepfer, Alain M.; Straumann, Alex; Panczak, Radoslaw; Coslovsky, Michael; Kuehni, Claudia E.; Maurer, Elisabeth; Haas, Nadine A.; Romero, Yvonne; Hirano, Ikuo; Alexander, Jeffrey A.; Gonsalves, Nirmala; Furuta, Glenn T.; Dellon, Evan S.; Leung, John; Collins, Margaret H.; Bussmann, Christian; Netzer, Peter; Gupta, Sandeep K.; Aceves, Seema S.; Chehade, Mirna; Moawad, Fouad J.; Enders, Felicity T.; Yost, Kathleen J.; Taft, Tiffany H.; Kern, Emily; Zwahlen, Marcel; Safroneeva, Ekaterina

    2015-01-01

    BACKGROUND & AIMS Standardized instruments are needed to assess the activity of eosinophilic esophagitis (EoE), to provide endpoints for clinical trials and observational studies. We aimed to develop and validate a patient-reported outcome (PRO) instrument and score, based on items that could account for variations in patients’ assessments of disease severity. We also evaluated relationships between patients’ assessment of disease severity and EoE-associated endoscopic, histologic, and laboratory findings. METHODS We collected information from 186 patients with EoE in Switzerland and the US (69.4% male; median age, 43 years) via surveys (n = 135), focus groups (n = 27), and semi-structured interviews (n = 24). Items were generated for the instruments to assess biologic activity based on physician input. Linear regression was used to quantify the extent to which variations in patient-reported disease characteristics could account for variations in patients’ assessment of EoE severity. The PRO instrument was prospectively used in 153 adult patients with EoE (72.5% male; median age, 38 years), and validated in an independent group of 120 patients with EoE (60.8% male; median age, 40.5 years). RESULTS Seven PRO factors that are used to assess characteristics of dysphagia, behavioral adaptations to living with dysphagia, and pain while swallowing accounted for 67% of the variation in patients’ assessment of disease severity. Based on statistical consideration and patient input, a 7-day recall period was selected. Highly active EoE, based on endoscopic and histologic findings, was associated with an increase in patient-assessed disease severity. In the validation study, the mean difference between patient assessment of EoE severity and PRO score was 0.13 (on a scale from 0 to 10). CONCLUSIONS We developed and validated an EoE scoring system based on 7 PRO items that assesses symptoms over a 7-day recall period. Clinicaltrials.gov number: NCT00939263. PMID

  6. Operational scores in the diagnosis of chronic hepatitis. A semi-quantitative assessment.

    PubMed

    Stănculeţ, N; Grigoraş, Adriana; Predescu, O; Floarea-Strat, Alina; Luca, Cătălina; Manciuc, Carmen; Dorobăţ, Carmen; Căruntu, Irina Draga

    2012-01-01

    Starting from the quantification of the specific lesions for chronic hepatitis B and C, our study focused on (i) the correspondence between the necroinflammatory activity and the fibrosis stage ascertained through the Ishak scoring system, (ii) the classification overlaps and differences of Ishak vs. METAVIR score. The study group consisted of 202 cases with chronic hepatitis B and 751 cases with chronic hepatitis C, diagnosed based on liver biopsies. The fragments of hepatic tissue were routinely processed and stained with Hematoxylin-Eosin, trichrome Szekely, Gordon-Sweet silver impregnation, and Periodic Acid-Schiff. A semiquantitative evaluation was performed using the Ishak (for hepatitis B and C) and the METAVIR (for hepatitis C) scoring systems. Our results revealed that the comparison between hepatitis B and C, based on the necroinflammatory activity and fibrosis, is able to offer through the numeric values of the Ishak scoring system accurate proofs, which support the aggressivity of hepatitis C, because it develops fibrosis more quickly, even on the background of mild necroinflammatory activity. Also, our data showed that the necroinflammatory activity and the fibrosis are not processes which progress in a consistent pattern. The application of the METAVIR scoring system for the cases with chronic hepatitis C confirmed that there is not a direct correlation between necroinflammation and fibrosis. The Ishak scoring system provides through the wide range of numeric values attributed for the evaluation of necroinflammatory activity and fibrosis far more precise criteria for the appraisal of the degree of damage to the hepatic parenchyma at the time of the diagnosis. Supplementary, the METAVIR scoring system allows for the hepatitis C an assessment of the entire histologic activity, including the interface hepatitis and the associated lobular necrosis components. The scoring systems have unavoidably strengths and weaknesses, but the choice of a specific one

  7. Fingermark evidence evaluation based on automated fingerprint identification system matching scores: the effect of different types of conditioning on likelihood ratios.

    PubMed

    Alberink, Ivo; de Jongh, Arent; Rodriguez, Crystal

    2014-01-01

    In recent studies, the evidential value of the similarity of minutiae configurations of fingermarks and fingerprints, for example expressed by automated fingerprint identification systems (AFIS), is determined by likelihood ratios (LRs). The paper explores whether there is an effect on LRs if conditioning takes place on specified fingers, fingerprints, or fingermarks under competing hypotheses: In addition, an approach is explored where conditioning is asymmetric. Comparisons between fingerprints and simulated fingermarks with eight minutiae are performed to produce similarity score distributions for each type of conditioning, given a fixed AFIS matching algorithm. Both similarity scores and LRs are significantly different if the conditioning changes. Given a common-source scenario, "LRs" resulting from asymmetric conditioning are on average higher. The difference may reach a factor of 2000. As conditioning on a suspect's finger(print) is labor-intensive and requires a cooperating suspect, it is recommended to just condition on the number of minutiae in the fingermark. PMID:24180303

  8. Correlation between vitamin D levels and muscle fatigue risk factors based on physical activity in healthy older adults

    PubMed Central

    Al-Eisa, Einas S; Alghadir, Ahmad H; Gabr, Sami A

    2016-01-01

    Purpose The purpose of this study was to investigate the relationship of serum vitamin D levels with physical activity, obesity, muscle fatigue biomarkers, and total antioxidant capacity (TAC) in healthy older adults. Methods A total of 85 healthy older subjects aged 64–96 years were recruited in this study. Based on estimated energy expenditure scores, the participants were classified into three groups: inactive (n=25), moderate (n=20), and physically active (n=35). Serum 25(OH)D (25-hydroxy vitamin D) levels, metabolic syndrome parameters, TAC activity, muscle fatigue biomarkers (Ca, creatine kinase, lactic acid dehydrogenase, troponin I, hydroxyproline), physical activity, body fatness, and fatigue score (visual analog scale) were estimated using immunoassay techniques and prevalidated questionnaires, respectively. Results Physical activity was estimated in 64.6% of the participants. Males showed higher physical activity (42.5%) compared to females (26.25%). Compared to participants with lower activity, significant reduction in body mass index, waist circumference, hips, fasting blood sugar, triglycerides, total cholesterol, HDL-cholesterol, and LDL-cholesterol were observed in moderate and physically active participants. Also, significant increase in the levels of serum 25(OH)D concentrations, calcium, and TAC activity along with reduction in the levels of muscle fatigue biomarkers: creatine kinase, lactic acid dehydrogenase, troponin I, hydroxyproline, and fatigue scores (visual analog scale) were reported in physically active participants compared to those of lower physical activity. In all participants, serum 25(OH)D concentrations correlated positively with Ca, TAC, physical activity scores, and negatively with body mass index, lipid profile, fatigue scores (visual analog scale), and muscle fatigue biomarkers. Stepwise regression analysis showed that serum 25(OH)D concentrations, physical activity, Ca, TAC, and demographic parameters explained

  9. Effect of a Physical Education-Based Stretching Programme on Sit-and-Reach Score and Its Posterior Reduction in Elementary Schoolchildren

    ERIC Educational Resources Information Center

    Merino-Marban, Rafael; Mayorga-Vega, Daniel; Fernandez-Rodriguez, Emilio; Estrada, Francisco Vera; Viciana, Jesús

    2015-01-01

    The purpose of this study was to examine the effects of a 1-minute stretching programme and 5 weeks of detraining on sit-and-reach score among schoolchildren aged 5-6 years in a physical education setting. Forty-five schoolchildren 5-6 years old from two classes were clustered randomly assigned to an experimental group (n = 23) or a control group…

  10. Return of functional mobility after an open tibial fracture: a sensor-based longitudinal cohort study using the Hamlyn Mobility Score.

    PubMed

    Kwasnicki, R M; Hettiaratchy, S; Okogbaa, J; Lo, B; Yang, G-Z; Darzi, A

    2015-08-01

    In this study we quantified and characterised the return of functional mobility following open tibial fracture using the Hamlyn Mobility Score. A total of 20 patients who had undergone reconstruction following this fracture were reviewed at three-month intervals for one year. An ear-worn movement sensor was used to assess their mobility and gait. The Hamlyn Mobility Score and its constituent kinematic features were calculated longitudinally, allowing analysis of mobility during recovery and between patients with varying grades of fracture. The mean score improved throughout the study period. Patients with more severe fractures recovered at a slower rate; those with a grade I Gustilo-Anderson fracture completing most of their recovery within three months, those with a grade II fracture within six months and those with a grade III fracture within nine months. Analysis of gait showed that the quality of walking continued to improve up to 12 months post-operatively, whereas the capacity to walk, as measured by the six-minute walking test, plateaued after six months. Late complications occurred in two patients, in whom the trajectory of recovery deviated by > 0.5 standard deviations below that of the remaining patients. This is the first objective, longitudinal assessment of functional recovery in patients with an open tibial fracture, providing some clarification of the differences in prognosis and recovery associated with different grades of fracture. PMID:26224831

  11. Automated Essay Scoring versus Human Scoring: A Comparative Study

    ERIC Educational Resources Information Center

    Wang, Jinhao; Brown, Michelle Stallone

    2007-01-01

    The current research was conducted to investigate the validity of automated essay scoring (AES) by comparing group mean scores assigned by an AES tool, IntelliMetric [TM] and human raters. Data collection included administering the Texas version of the WriterPlacer "Plus" test and obtaining scores assigned by IntelliMetric [TM] and by human…

  12. Structure-Activity Relationship of Azaindole-Based Glucokinase Activators.

    PubMed

    Paczal, Attila; Bálint, Balázs; Wéber, Csaba; Szabó, Zoltán B; Ondi, Levente; Theret, Isabelle; De Ceuninck, Frédéric; Bernard, Catherine; Ktorza, Alain; Perron-Sierra, Francoise; Kotschy, András

    2016-01-28

    7-Azaindole has been identified as a novel bidentate anchor point for allosteric glucokinase activators. A systematic investigation around three principal parts of the new small molecule glucokinase activators led to a robust SAR in agreement with structural data that also helped to assess the conformational flexibility of the allosteric activation site. The increase in glucose uptake resulting from glucokinase activation in hepatocytes in vitro translated into the efficient lowering of glucose levels in vivo with the best compounds. PMID:26685731

  13. Booker T. Washington. Kindergarten-Third Grade Activity. Schools of California Online Resources for Education (SCORE): Connecting California's Classrooms to the World.

    ERIC Educational Resources Information Center

    Wahe, Amy

    This illustrated activity for primary students features the life and accomplishments of Booker T. Washington. This educator began his life as a plantation slave and later founded Tuskegee Institute, one of the first colleges that African Americans could attend. The activity tells how Booker T. Washington and his students built the Tuskegee…

  14. Maxillofacial trauma scoring systems.

    PubMed

    Sahni, Vaibhav

    2016-07-01

    The changing complexity of maxillofacial fractures in recent years has created a situation where classical systems of classification of maxillofacial injuries fall short of defining trauma particularly that observed with high-velocity collisions where more than one region of the maxillofacial skeleton is affected. Trauma scoring systems designed specifically for the maxillofacial region are aimed to provide a more accurate assessment of the injury, its prognosis, the possible treatment outcomes, economics, length of hospital stay, and triage. The evolution and logic of such systems along with their merits and demerits are discussed. The author also proposes a new system to aid users in quickly and methodically choosing the system best suited to their needs without having to study a plethora of literature available in order to isolate their choice. PMID:26971084

  15. Olympic Scoring of English Compositions

    ERIC Educational Resources Information Center

    Follman, John; Panther, Edward

    1974-01-01

    Examines empirically the efficacy of utilizing Olympic diving and gymnastic scoring systems for grading graduate students' English compositions. Results indicated that such scoring rules do not produce ratings different in reliability or in level from conventional letter grades. (ED)

  16. Line Lengths and Starch Scores.

    ERIC Educational Resources Information Center

    Moriarty, Sandra E.

    1986-01-01

    Investigates readability of different line lengths in advertising body copy, hypothesizing a normal curve with lower scores for shorter and longer lines, and scores above the mean for lines in the middle of the distribution. Finds support for lower scores for short lines and some evidence of two optimum line lengths rather than one. (SKC)

  17. The Effects of Using Different Procedures to Score Maze Measures

    ERIC Educational Resources Information Center

    Pierce, Rebecca L.; McMaster, Kristen L.; Deno, Stanley L.

    2010-01-01

    The purpose of this study was to examine how different scoring procedures affect interpretation of maze curriculum-based measurements. Fall and spring data were collected from 199 students receiving supplemental reading instruction. Maze probes were scored first by counting all correct maze choices, followed by four scoring variations designed to…

  18. Magnesium Based Materials and their Antimicrobial Activity

    NASA Astrophysics Data System (ADS)

    Robinson, Duane Allan

    The overall goals of this body of work were to characterize the antimicrobial properties of magnesium (Mg) metal and nano-magnesium oxide (nMgO) in vitro, to evaluate the in vitro cytotoxicity of Mg metal, and to incorporate MgO nanoparticles into a polymeric implant coating and evaluate its in vitro antimicrobial properties. In the course of this work it was found that Mg metal, Mg-mesh, and nMgO have in vitro antimicrobial properties that are similar to a bactericidal antibiotic. For Mg metal, the mechanism of this activity appears to be related to an increase in pH (i.e. a more alkaline environment) and not an increase in Mg2+. Given that Mg-mesh is a Mg metal powder, the assumption is that it has the same mechanism of activity as Mg metal. The mechanism of activity for nMgO remains to be elucidated and may be related to a combination of interaction of the nanoparticles with the bacteria and the alkaline pH. It was further demonstrated that supernatants from suspensions of Mg-mesh and nMgO had the same antimicrobial effect as was noted when the particles were used. The supernatant from Mg-mesh and nMgO was also noted to prevent biofilm formation for two Staphylococcus strains. Finally, poly-epsilon-caprolactone (PCL) composites of Mg-mesh (PCL+Mg-mesh) and nMgO (PCL+nMgO) were produced. Coatings applied to screws inhibited growth of Escherichia coli and Pseudomonas aeruginosa and in thin disc format inhibited the growth of Staphylococcus aureus in addition to the E. coli and P. aeruginosa. Pure Mg metal was noted to have some cytotoxic effect on murine fibroblast and osteoblast cell lines, although this effect needs to be characterized further. To address the need for an in vivo model for evaluating implant associated infections, a new closed fracture osteomyelitis model in the femur of the rat was developed. Magnesium, a readily available and inexpensive metal was shown to have antimicrobial properties that appear to be related to its corrosion products and

  19. A Comparison of the Diabetes Risk Score in HIV/AIDS Patients on Highly Active Antiretroviral Therapy (HAART) and HAART-Naïve Patients at the Limbe Regional Hospital, Cameroon

    PubMed Central

    Dimala, Christian Akem; Atashili, Julius; Mbuagbaw, Josephine C.; Wilfred, Akam; Monekosso, Gottlieb L.

    2016-01-01

    Background Highly active antiretroviral therapy (HAART) has been associated with dysglycaemia. However, there is scarce data on the risk of developing diabetes mellitus (DM) in HIV/AIDS patients in Africa. Objectives Primarily to quantify and compare the risk of having diabetes mellitus in HIV/AIDS patients on HAART and HAART-naïve patients in Limbe, Cameroon; and secondarily to determine if there is an association between HAART and increased DM risk. Methods A cross-sectional study was conducted at the Limbe Regional Hospital HIV treatment center between April and June 2013, involving 200 HIV/AIDS patients (100 on first-line HAART regimens for at least 12 months matched by age and gender to 100 HAART-naïve patients). The Diabetes Risk Score (DRS) was calculated using a clinically validated model based on routinely recorded primary care parameters. A DRS ≥ 7% was considered as indicative of an increased risk of developing DM. Results The median DRS was significantly higher in patients on HAART (2.30%) than in HAART-naïve patients (1.62%), p = 0.002. The prevalence of the increased DM risk (DRS ≥ 7%) was significantly higher in patients on HAART, 31% (95% CI: 22.13–41.03) than in HAART-naïve patients, 17% (95% CI: 10.23–25.82), p = 0.020. HAART was significantly associated with an increased DM risk, the odds ratio of the HAART group compared to the HAART-naïve group was 2.19 (95% CI: 1.12–4.30, p = 0.020). However, no association was found after adjusting for BMI-defined overweight, hypertension, age, sex, family history of DM and smoking (Odds ratio = 1.22, 95% CI: 0.42–3.59, p = 0.708). Higher BMI and hypertension accounted for the increased risk of DM in patients on HAART. Also, more than 82% of the participants were receiving or had ever used Zidovudine based HAART regimens. Conclusion HIV/AIDS patients on HAART could be at a greater risk of having DM than HAART-naïve patients as a result of the effect of HAART on risk factors of DM such as BMI

  20. Active X based standards for healthcare integration.

    PubMed

    Greenberg, D S; Welcker, B

    1998-02-01

    With cost pressures brought to the forefront by the growth of managed care, the integration of healthcare information systems is more important than ever. Providers of healthcare information are under increasing pressure to provide timely information to end users in a cost effective manner. Organizations have had to decide between the strong functionality that a multi-vendor 'best of breed' architecture provides and the strong integration provided by a single-vendor solution. As connectivity between systems increased, these interfaces were migrated to work across serial and eventually, network, connections. In addition, the content of the information became standardized through efforts like HL7 and ANSI X12 and Edifact. Although content-based standards go a long way towards facilitating interoperability, there is also quite a bit of work required to connect two systems even when they both adhere to the standard. A key to accomplishing this goal is increasing the connectivity between disparate systems in the healthcare environment. Microsoft is working with healthcare organizations and independent software vendors to bring Microsoft's powerful enterprise object technology, ActiveX, to the healthcare industry. Whilst object orientation has been heralded as the 'next big thing' in computer applications development, Microsoft believe that, in fact, component software is the technology which will provide the greatest benefit to end users. PMID:9600418

  1. You Score With Nutrition

    ERIC Educational Resources Information Center

    Dow, Ruth McNabb

    1976-01-01

    The leader's guide and student activity booklet contain learning activities, ideas, information, games, and resources for nutrition instruction designed to appeal to the interests of teens and pre-teens and to improve their knowledge of nutrition and their eating habits. (MS)

  2. Using Momentary Time Sampling to Estimate Minutes of Physical Activity in Physical Education: Validation of Scores for the System for Observing Fitness Instruction Time

    ERIC Educational Resources Information Center

    Heath, Edward M.; Coleman, Karen J.; Lensegrav, Tera L.; Fallon, Jennifer A.

    2006-01-01

    The System for Observing Fitness Instruction Time (SOFIT) is a direct observation system specifically developed for use during physical education (PE; McKenzie, 1991; McKenzie, Sallis, & Nader, 1991). The purpose of this study was to validate the estimates of time spent in various physical activity intensities obtained with the paper and pencil…

  3. An Adventure to the New World. Fifth Grade Activity. Schools of California Online Resources for Education (SCORE): Connecting California's Classrooms to the World.

    ERIC Educational Resources Information Center

    Boilon, Susan

    This activity plan for fifth graders posits that the student is an agent for the King and Queen and are authorized to make a journey to the New World on behalf of the kingdom. The mission is to claim all land for the monarchy, locate a new trading route across the ocean, look for the Northwest Passage, and bring back gold, silver, spices, new…

  4. The Ancient World Explorer: Space Invaders, Copycats or Independent Inventors? Sixth Grade Activity. Schools of California Online Resources for Education (SCORE): Connecting California's Classrooms to the World.

    ERIC Educational Resources Information Center

    Benoit, Ty

    When archaeologists dig up the artifacts of ancient civilizations, they make discoveries and attempt to find out what life was like for ancient people. Students in the classroom explore the civilizations of the ancient world attempting to answer questions about how people lived thousands of years ago. In this activity for grade 6, students, in…

  5. Orange Juice--From the Tree to the Glass! Second Grade Activity. Schools of California Online Resources for Education (SCORE): Connecting California's Classrooms to the World.

    ERIC Educational Resources Information Center

    Ricchiuti, Linda M.

    The goal of this lesson plan is for second-grade students to understand the steps in how food is made and delivered to the grocery store. Students create a play where each person plays a part in the production and distribution of food. The lesson suggests that the class perform the play on parents' night. It provides five activities for students…

  6. Arctic Animals of Alaska. First Grade Activity. Schools of California Online Resources for Education (SCORE): Connecting California's Classrooms to the World.

    ERIC Educational Resources Information Center

    Boe, Sandra

    The Arctic is covered with ice and snow for most of the year. Animals that live in Alaska's arctic region must be able to survive long winters and very cold temperatures. Surprisingly, many animals live in the harsh, cold climate. This first-grade activity plan helps students learn about the animals of the far north. The plan gives six steps for…

  7. Performance Based Education. Technology Activity Modules.

    ERIC Educational Resources Information Center

    Custer, Rodney L., Ed.

    These Technology Activity Modules are designed to serve as an implementation resource for technology education teachers as they integrate technology education with Missouri's Academic Performance Standards and provide a source of activities and activity ideas that can be used to integrate and reinforce learning across the curriculum. The modules…

  8. Literature-Based Reading Activities. Second Edition.

    ERIC Educational Resources Information Center

    Yopp, Hallie Kay; Yopp, Ruth Helen

    Designed to be used with a wide variety of literature selections in classroom settings, the activities in this book are open-ended, encourage critical thinking and discussion, and serve as springboards for writing. All activities in the book have been classroom tested and many have been the subject of research. Each activity may be used at any…

  9. Association of the interferon signature metric with serological disease manifestations but not global activity scores in multiple cohorts of patients with SLE

    PubMed Central

    Kennedy, William P; Maciuca, Romeo; Wolslegel, Kristen; Tew, Wei; Abbas, Alexander R; Chaivorapol, Christina; Morimoto, Alyssa; McBride, Jacqueline M; Brunetta, Paul; Richardson, Bruce C; Davis, John C; Behrens, Timothy W; Townsend, Michael J

    2015-01-01

    Objectives The interferon (IFN) signature (IS) in patients with systemic lupus erythematosus (SLE) includes over 100 genes induced by type I IFN pathway activation. We developed a method to quantify the IS using three genes—the IS metric (ISM)—and characterised the clinical characteristics of patients with SLE with different ISM status from multiple clinical trials. Methods Blood microarray expression data from a training cohort of patients with SLE confirmed the presence of the IS and identified surrogate genes. We assayed these genes in a quantitative PCR (qPCR) assay, yielding an ISM from the IS. The association of ISM status with clinical disease characteristics was assessed in patients with extrarenal lupus and lupus nephritis from four clinical trials. Results Three genes, HERC5, EPSTI and CMPK2, correlated well with the IS (p>0.96), and composed the ISM qPCR assay. Using the 95th centile for healthy control data, patients with SLE from different studies were classified into two ISM subsets—ISM-Low and ISM-High—that are longitudinally stable over 36 weeks. Significant associations were identified between ISM-High status and higher titres of anti-dsDNA antibodies, presence of anti extractable nuclear antigen autoantibodies, elevated serum B cell activating factor of the tumour necrosis factor family (BAFF) levels, and hypocomplementaemia. However, measures of overall clinical disease activity were similar for ISM-High and ISM-Low groups. Conclusions The ISM is an IS biomarker that divides patients with SLE into two subpopulations—ISM-High and ISM-Low—with differing serological manifestations. The ISM does not distinguish between high and low disease activity, but may have utility in identifying patients more likely to respond to treatment(s) targeting IFN-α. Clinicaltrials.gov registration number NCT00962832. PMID:25861459

  10. Activity Based Startup Plan for Prototype Vertical Denitration Calciner

    SciTech Connect

    SUTTER, C.S.

    1999-08-16

    Testing activities on the Prototype Vertical Denitration Calciner at Plutonium Finish Plant (PFP) were suspended in January 1997 due to the hold on fissile material handling in the facility. The restart of testing activities will require a review through an activity based startup process based upon Integrated Safety Management (ISM) principles to verify readiness. The Activity Based Startup Plan for the Prototype vertical Denitration Calciner has been developed for this process.

  11. Clinical risk scores to guide perioperative management.

    PubMed

    Barnett, Sarah; Moonesinghe, Suneetha Ramani

    2011-08-01

    Perioperative morbidity is associated with reduced long term survival. Comorbid disease, cardiovascular illness, and functional capacity can predispose patients to adverse surgical outcomes. Accurate risk stratification would facilitate informed patient consent and identify those individuals who may benefit from specific perioperative interventions. The ideal clinical risk scoring system would be objective, accurate, economical, simple to perform, based entirely on information available preoperatively, and suitable for patients undergoing both elective and emergency surgery. The POSSUM (Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity) scoring systems are the most widely validated perioperative risk predictors currently utilised; however, their inclusion of intra- and postoperative variables precludes validation for preoperative risk prediction. The Charlson Index has the advantage of consisting exclusively of preoperative variables; however, its validity varies in different patient cohorts. Risk models predicting cardiac morbidity have been extensively studied, despite the relatively uncommon occurrence of postoperative cardiac events. Probably the most widely used cardiac risk score is the Lee Revised Cardiac Risk Index, although it has limited validity in some patient populations and for non-cardiac outcomes. Bespoke clinical scoring systems responding to dynamic changes in population characteristics over time, such as those developed by the American College of Surgeons National Surgical Quality Improvement Program, are more precise, but require considerable resources to implement. The combination of objective clinical variables with information from novel techniques such as cardiopulmonary exercise testing and biomarker assays, may improve the predictive precision of clinical risk scores used to guide perioperative management. PMID:21257993

  12. Banpo Village: Gone but Not Forgotten. Sixth Grade Activity. Revised. Schools of California Online Resources for Education (SCORE): Connecting California's Classrooms to the World.

    ERIC Educational Resources Information Center

    Nguyen, Tim

    Banpo is a village that existed 6,000 years ago near Xi'an in the Shaanxi Province of China. Artifacts unearthed from the Banpo site are all that remains of this prehistoric clan-based community. Five excavations conducted from 1953 to 1957 revealed the remains of 45 houses, 200-odd storage pits, six kilns, 250 tombs, and more than 10,000 stone…

  13. SCORE, A Measurement of Reference Service.

    ERIC Educational Resources Information Center

    Beeler, Richard J.

    The University of Denver Libraries employed SCORE (Service Components Reliability and Efficiency), a cost analysis technique, to measure effectiveness and cost of reference activity. This report examines the results and the problems encountered in application of this methodology. A reference model, designed as a flow chart, was developed by…

  14. FEEDBACK SCORING SYSTEMS FOR REUSABLE KINDERGARTEN WORKBOOKS.

    ERIC Educational Resources Information Center

    GACH, PENELOPE J.; AND OTHERS

    THE DEVELOPMENT OF ECONOMICAL FEEDBACK SCORING SYSTEMS FOR REUSABLE KINDERGARTEN WORKBOOKS IS DESCRIBED. THREE PROTOTYPE SYSTEMS WERE DEVELOPED--(1) A METAL FOIL ACTIVATING AN ELECTRICAL PROBE, (2) A METAL FOIL REACTING WITH A MAGNETIC PROBE, AND (3) INVISIBLE FLUORESCENT INK REVEALED BY THE APPLICATION OF LONGWAVE ULTRAVIOLET LIGHT. (MS)

  15. Creating Stimulating Learning and Thinking Using New Models of Activity-Based Learning and Metacognitive-Based Activities

    ERIC Educational Resources Information Center

    Pang, Katherine

    2010-01-01

    The purpose of this paper is to present a novel way to stimulate learning, creativity, and thinking based on a new understanding of activity-based learning (ABL) and two methods for developing metacognitive-based activities for the classroom. ABL, in this model, is based on the premise that teachers are distillers and facilitators of information…

  16. Recalibration of the SCORE risk chart for the Russian population.

    PubMed

    Jdanov, Dmitri A; Deev, Alexander D; Jasilionis, Domantas; Shalnova, Svetlana A; Shkolnikova, Maria A; Shkolnikov, Vladimir M

    2014-09-01

    Persisting high levels of cardiovascular mortality in Russia present a specific case among developed countries. Application of cardiovascular risk prediction models holds great potential for primary prevention in this country. Using a unique set of cohort follow-up data from Moscow and Saint Petersburg, this study aims to test and recalibrate the Systematic Coronary Risk Evaluation (SCORE) methods for predicting CVD mortality risks in the general population. The study is based on pooled epidemiological cohort data covering the period 1975-2001. The algorithms from the SCORE project were used for the calibration of the SCORE equation for the Moscow and St. Petersburg populations (SCORE-MoSP). Age-specific 10-year cumulative cardiovascular mortality rates were estimated according to the original SCORE-High and SCORE-Low equations and compared to the estimates based on the recalibrated SCORE-MoSP model and observed CVD mortality rates. Ten-year risk prediction charts for CVD mortality were derived and compared using conventional SCORE-High and recalibrated SCORE-MoSP methods. The original SCORE-High model tends to substantially under-estimate 10-year cardiovascular mortality risk for females. The SCORE-MoSP model provided better results which were closer to the observed rates. For males, both the SCORE-High and SCORE-MoSP provided similar estimates which tend to under-estimate CVD mortality risk at younger ages. These differences are also reflected in the risk prediction charts. Using non-calibrated scoring models for Russia may lead to substantial under-estimation of cardiovascular mortality risk in some groups of individuals. Although the SCORE-MoSP provide better results for females, more complex scoring methods involving a wider range of risk factors are needed. PMID:25179794

  17. Trainee Occupational Therapists Scoring the Barthel ADL.

    PubMed

    Martin, Elizabeth; Nugent, Chris; Bond, Raymond; Martin, Suzanne

    2015-09-01

    Within medical applications there are two main types of information design; paper-based and digital information [1]. As technology is constantly changing, information within healthcare management and delivery is continually being transitioned from traditional paper documents to digital and online resources. Activity of Daily Living (ADL) charts are still predominantly paper based and are therefore prone to "human error" [2]. In light of this, an investigation has taken place into the design for reducing the amount of human error, between a paper based ADL, specifically the Barthel Index, and the same ADL created digitally. The digital ADL was developed as an online platform as this offers the best method of data capture for a large group of participants all together [3]. The aim of the study was to evaluate the usability of the Barthel Index ADL in paper format and then reproduce the same ADL digitally. This paper presents the findings of a study involving 26 participants who were familiar with ADL charts, and used three scenarios requiring them to complete both a paper ADL and a digital ADL. An evaluation was undertaken to ascertain if there were any 'human errors' in completing the paper ADL and also to find similarities/differences through using the digital ADL. The results from the study indicated that 22/26 participants agreed that the digital ADL was better, if not the same as a paper based ADL. Further results indicated that participants rate highly the added benefit of the digital ADL being easy to use and also that calculation of assessment scores were performed automatically. Statistically the digital BI offered a 100 % correction rate in the total calculation, in comparison to the paper based BI where it is more common for users to make mathematical calculation errors. Therefore in order to minimise handwriting and calculation errors, the digital BI proved superior than the traditional paper based method. PMID:26250757

  18. Automated Essay Scoring versus Human Scoring: A Correlational Study

    ERIC Educational Resources Information Center

    Wang, Jinhao; Brown, Michelle Stallone

    2008-01-01

    The purpose of the current study was to analyze the relationship between automated essay scoring (AES) and human scoring in order to determine the validity and usefulness of AES for large-scale placement tests. Specifically, a correlational research design was used to examine the correlations between AES performance and human raters' performance.…

  19. Automated Scoring of Constructed-Response Science Items: Prospects and Obstacles

    ERIC Educational Resources Information Center

    Liu, Ou Lydia; Brew, Chris; Blackmore, John; Gerard, Libby; Madhok, Jacquie; Linn, Marcia C.

    2014-01-01

    Content-based automated scoring has been applied in a variety of science domains. However, many prior applications involved simplified scoring rubrics without considering rubrics representing multiple levels of understanding. This study tested a concept-based scoring tool for content-based scoring, c-rater™, for four science items with rubrics…

  20. 24 CFR 92.257 - Faith-based activities.

    Code of Federal Regulations, 2013 CFR

    2013-04-01

    ... 24 Housing and Urban Development 1 2013-04-01 2013-04-01 false Faith-based activities. 92.257... Development HOME INVESTMENT PARTNERSHIPS PROGRAM Project Requirements § 92.257 Faith-based activities. (a) Organizations that are religious or faith-based are eligible, on the same basis as any other organization,...