WorldWideScience

Sample records for model quality scores

  1. Longitudinal beta regression models for analyzing health-related quality of life scores over time

    Directory of Open Access Journals (Sweden)

    Hunger Matthias

    2012-09-01

    Full Text Available Abstract Background Health-related quality of life (HRQL has become an increasingly important outcome parameter in clinical trials and epidemiological research. HRQL scores are typically bounded at both ends of the scale and often highly skewed. Several regression techniques have been proposed to model such data in cross-sectional studies, however, methods applicable in longitudinal research are less well researched. This study examined the use of beta regression models for analyzing longitudinal HRQL data using two empirical examples with distributional features typically encountered in practice. Methods We used SF-6D utility data from a German older age cohort study and stroke-specific HRQL data from a randomized controlled trial. We described the conceptual differences between mixed and marginal beta regression models and compared both models to the commonly used linear mixed model in terms of overall fit and predictive accuracy. Results At any measurement time, the beta distribution fitted the SF-6D utility data and stroke-specific HRQL data better than the normal distribution. The mixed beta model showed better likelihood-based fit statistics than the linear mixed model and respected the boundedness of the outcome variable. However, it tended to underestimate the true mean at the upper part of the distribution. Adjusted group means from marginal beta model and linear mixed model were nearly identical but differences could be observed with respect to standard errors. Conclusions Understanding the conceptual differences between mixed and marginal beta regression models is important for their proper use in the analysis of longitudinal HRQL data. Beta regression fits the typical distribution of HRQL data better than linear mixed models, however, if focus is on estimating group mean scores rather than making individual predictions, the two methods might not differ substantially.

  2. Data Quality in the Human and Environmental Health Sciences: Using Statistical Confidence Scoring to Improve QSAR/QSPR Modeling.

    Science.gov (United States)

    Steinmetz, Fabian P; Madden, Judith C; Cronin, Mark T D

    2015-08-24

    A greater number of toxicity data are becoming publicly available allowing for in silico modeling. However, questions often arise as to how to incorporate data quality and how to deal with contradicting data if more than a single datum point is available for the same compound. In this study, two well-known and studied QSAR/QSPR models for skin permeability and aquatic toxicology have been investigated in the context of statistical data quality. In particular, the potential benefits of the incorporation of the statistical Confidence Scoring (CS) approach within modeling and validation. As a result, robust QSAR/QSPR models for the skin permeability coefficient and the toxicity of nonpolar narcotics to Aliivibrio fischeri assay were created. CS-weighted linear regression for training and CS-weighted root-mean-square error (RMSE) for validation were statistically superior compared to standard linear regression and standard RMSE. Strategies are proposed as to how to interpret data with high and low CS, as well as how to deal with large data sets containing multiple entries.

  3. Genetic models for breed quality and navel development scores and its associations with growth traits in beef cattle.

    Science.gov (United States)

    Boligon, A A; De Vargas, L; Silveira, D D; Roso, V M; Campos, G S; Vaz, R Z; Souza, F R P

    2016-12-01

    Estimation and prediction ability of linear and threshold models for yearling breed quality score (BQ) and navel development score at weaning (WN) and yearling (YN), considering variances, heritabilities, and rank correlations based on the breeding values predicted for bulls, were compared. Furthermore, it was determined whether BQ, WN, and YN are genetically associated with growth traits (BWG: birth to weaning weight gain, WH: weaning height, WYG: weaning to yearling weight gain, YH: yearling height) to field data of Nelore cattle. For BQ, similar heritabilities were estimated using linear (0.14 ± 0.01) and threshold (0.15 ± 0.02) models. For navel development scores, higher heritability was estimated with threshold (WN 0.22 ± 0.03; YN 0.42 ± 0.03) rather than linear (WN 0.16 ± 0.01; YN 0.29 ± 0.01) models. Rank correlations between sires breeding values predicted for visual scores with linear and threshold models ranging from 0.53 to 0.98, indicating that different sires would be selected using these models, mainly for higher selection intensities. The BQ showed little genetic variability and was not associated with WH and YH. However, low and positive genetic correlations were obtained between BQ with BWG (0.27 ± 0.02) and WYG (0.25 ± 0.02). In general, they are expected low genetic gains for BQ as correlated response to selection based on any of the growth traits studied. The WN showed higher genetic correlation with BWG (0.63 ± 0.02) and WH (0.53 ± 0.02) rather than WYG (-0.06 ± 0.02) and YH (0.26 ± 0.02), indicating that selection for increased growth at weaning (height and weight gain) should lead to longer and most pendulous navels at this age. Weak genetic correlations were obtained between yearling navel and growth traits.

  4. Credit Scoring Modeling

    Directory of Open Access Journals (Sweden)

    Siana Halim

    2014-01-01

    Full Text Available It is generally easier to predict defaults accurately if a large data set (including defaults is available for estimating the prediction model. This puts not only small banks, which tend to have smaller data sets, at disadvantage. It can also pose a problem for large banks that began to collect their own historical data only recently, or banks that recently introduced a new rating system. We used a Bayesian methodology that enables banks with small data sets to improve their default probability. Another advantage of the Bayesian method is that it provides a natural way for dealing with structural differences between a bank’s internal data and additional, external data. In practice, the true scoring function may differ across the data sets, the small internal data set may contain information that is missing in the larger external data set, or the variables in the two data sets are not exactly the same but related. Bayesian method can handle such kind of problem.

  5. Incorporating Learning Characteristics into Automatic Essay Scoring Models: What Individual Differences and Linguistic Features Tell Us about Writing Quality

    Science.gov (United States)

    Crossley, Scott A.; Allen, Laura K.; Snow, Erica L.; McNamara, Danielle S.

    2016-01-01

    This study investigates a novel approach to automatically assessing essay quality that combines natural language processing approaches that assess text features with approaches that assess individual differences in writers such as demographic information, standardized test scores, and survey results. The results demonstrate that combining text…

  6. Incorporating Quality Scores in Meta-Analysis

    Science.gov (United States)

    Ahn, Soyeon; Becker, Betsy Jane

    2011-01-01

    This paper examines the impact of quality-score weights in meta-analysis. A simulation examines the roles of study characteristics such as population effect size (ES) and its variance on the bias and mean square errors (MSEs) of the estimators for several patterns of relationship between quality and ES, and for specific patterns of systematic…

  7. Body Movement Music Score – Introduction of a newly developed model for the analysis and description of body qualities, movement and music in music therapy

    Directory of Open Access Journals (Sweden)

    Hanna Agnieszka Skrzypek

    2017-01-01

    Full Text Available Background In music therapy, there is a range of music therapy concepts that, in addition to music, describe and analyse the body and movement. A model that equally examines the body, movement and music has not been developed. The Body Movement Music Score (BMMS is a newly developed and evaluated music therapy model for analysing body qualities, movement, playing style of musical instruments and music and to describe body behaviour and body expression, movement behaviour and movement expression, playing behaviour and musical expression in music therapy treatment. The basis for the development of the Body Movement Music Score was the evaluation of the analytical movement model Emotorics-Emotive Body Movement Mind Paradigm (Emotorics-EBMMP by Yona Shahar Levy for the analysis and description of the emotive-motor behaviour and movement expression of schizophrenic patients in music therapy treatment. Participants and procedure The application of the Body Movement Music Score is presented in a videotaped example from the music therapy treatment of one schizophrenic patient. Results The results of applying the Body Movement Music Score are presented in the form of Body Qualities I Analysis, Body Qualities II Analysis, Movement Analysis, Playing Style Analysis and Music Analysis Profiles. Conclusions The Body Movement Music Score has been developed and evaluated for the music therapy treatment of schizophrenic patients. For the development of the model, a proof of reliability is necessary to verify the reliability and limitations of the model in practice and show that the Body Movement Music Score could be used for both practical and clinical work, for documentation purposes and to impact research in music therapy.

  8. Classification and Prioritization of Strategic Plans in Balanced Score Card (BSC Model by Fuzzy Quality Function Deployment and Zero-One Goal Programming (ZOGP

    Directory of Open Access Journals (Sweden)

    mehdi pourmostafa

    2012-02-01

    Full Text Available Due to continuous changes in organizational environment, there is no warranty for long term survival in the market. Currently, those organizations can succeed that are agile and able to rapidly respond to environmental requirements. In this research a model has been proposed for applying proper strategies for achieving long term organizational success. The proposed model is an integration of Balanced Score Card (BSC approach, Fuzzy Quality Function Development (FQFD and Zero-One Goal Programming (ZOGP. In fact by BSC, appropriate strategic plans can be designed and prioritized by FQFD. Then, based on multiple objectives and existing problem constraints, feasible strategic plans are identified by ZOGP. Findings imply that decision making techniques can be well utilized in designing BSC through a structured methodology make improvement in all aspects and have a positive influence on organization's performance in long term .   Keywords : B alanced Score Card , Fuzzy Quality Function Development, Zero-One Goal Programming, Strategic plans

  9. Quality scores for 32,000 genomes

    DEFF Research Database (Denmark)

    Land, Miriam L.; Hyatt, Doug; Jun, Se-Ran

    2014-01-01

    or not applicable. The scores highlighted organisms for which commonly used tools do not perform well. This information can be used to improve tools and to serve a broad group of users as more diverse organisms are sequenced. Unexpectedly, the comparison of predicted tRNAs across 15,000 high quality genomes showed......Background More than 80% of the microbial genomes in GenBank are of ‘draft’ quality (12,553 draft vs. 2,679 finished, as of October, 2013). We have examined all the microbial DNA sequences available for complete, draft, and Sequence Read Archive genomes in GenBank as well as three other major...... public databases, and assigned quality scores for more than 30,000 prokaryotic genome sequences. Results Scores were assigned using four categories: the completeness of the assembly, the presence of full-length rRNA genes, tRNA composition and the presence of a set of 102 conserved genes in prokaryotes...

  10. MODELING CREDIT RISK THROUGH CREDIT SCORING

    OpenAIRE

    Adrian Cantemir CALIN; Oana Cristina POPOVICI

    2014-01-01

    Credit risk governs all financial transactions and it is defined as the risk of suffering a loss due to certain shifts in the credit quality of a counterpart. Credit risk literature gravitates around two main modeling approaches: the structural approach and the reduced form approach. In addition to these perspectives, credit risk assessment has been conducted through a series of techniques such as credit scoring models, which form the traditional approach. This paper examines the evolution of...

  11. Confidence scores for prediction models

    DEFF Research Database (Denmark)

    Gerds, Thomas Alexander; van de Wiel, MA

    2011-01-01

    In medical statistics, many alternative strategies are available for building a prediction model based on training data. Prediction models are routinely compared by means of their prediction performance in independent validation data. If only one data set is available for training and validation......, then rival strategies can still be compared based on repeated bootstraps of the same data. Often, however, the overall performance of rival strategies is similar and it is thus difficult to decide for one model. Here, we investigate the variability of the prediction models that results when the same...... to distinguish rival prediction models with similar prediction performances. Furthermore, on the subject level a confidence score may provide useful supplementary information for new patients who want to base a medical decision on predicted risk. The ideas are illustrated and discussed using data from cancer...

  12. Scoring Models of Bank Credit Policy Management

    OpenAIRE

    Aida Hanic; Emina Zunic; Adnan Dzelihodzic

    2013-01-01

    The aim of this paper is to present how credit scoring models can be used in financial institutions, in this case in banks, in order to simplify credit lending. Unlike traditional models of credit analysis, scoring models provides valuation based on numerical score who represent clients’ possibility to fulfil their obligation. Using credit scoring models, bank can create a numerical snapshot of consumers risk profile. One of the most important characteristic of scoring models is objectivity w...

  13. Structural Equation Modelling with Three Schemes Estimation of Score Factors on Partial Least Square (Case Study: The Quality Of Education Level SMA/MA in Sumenep Regency)

    Science.gov (United States)

    Anekawati, Anik; Widjanarko Otok, Bambang; Purhadi; Sutikno

    2017-06-01

    Research in education often involves a latent variable. Statistical analysis technique that has the ability to analyze the pattern of relationship among latent variables as well as between latent variables and their indicators is Structural Equation Modeling (SEM). SEM partial least square (PLS) was developed as an alternative if these conditions are met: the theory that underlying the design of the model is weak, does not assume a certain scale measurement, the sample size should not be large and the data does not have the multivariate normal distribution. The purpose of this paper is to compare the results of modeling of the educational quality in high school level (SMA/MA) in Sumenep Regency with structural equation modeling approach partial least square with three schemes estimation of score factors. This paper is a result of explanatory research using secondary data from Sumenep Education Department and Badan Pusat Statistik (BPS) Sumenep which was data of Sumenep in the Figures and the District of Sumenep in the Figures for the year 2015. The unit of observation in this study were districts in Sumenep that consists of 18 districts on the mainland and 9 districts in the islands. There were two endogenous variables and one exogenous variable. Endogenous variables are the quality of education level of SMA/MA (Y1) and school infrastructure (Y2), whereas exogenous variable is socio-economic condition (X1). In this study, There is one improved model which represented by model from path scheme because this model is a consistent, all of its indicators are valid and its the value of R-square increased which is: Y1=0.651Y2. In this model, the quality of education influenced only by the school infrastructure (0.651). The socio-economic condition did not affect neither the school infrastructure nor the quality of education. If the school infrastructure increased 1 point, then the quality of education increased 0.651 point. The quality of education had an R2 of 0

  14. Bayesian Model Averaging for Propensity Score Analysis

    Science.gov (United States)

    Kaplan, David; Chen, Jianshen

    2013-01-01

    The purpose of this study is to explore Bayesian model averaging in the propensity score context. Previous research on Bayesian propensity score analysis does not take into account model uncertainty. In this regard, an internally consistent Bayesian framework for model building and estimation must also account for model uncertainty. The…

  15. Bayesian Model Averaging for Propensity Score Analysis.

    Science.gov (United States)

    Kaplan, David; Chen, Jianshen

    2014-01-01

    This article considers Bayesian model averaging as a means of addressing uncertainty in the selection of variables in the propensity score equation. We investigate an approximate Bayesian model averaging approach based on the model-averaged propensity score estimates produced by the R package BMA but that ignores uncertainty in the propensity score. We also provide a fully Bayesian model averaging approach via Markov chain Monte Carlo sampling (MCMC) to account for uncertainty in both parameters and models. A detailed study of our approach examines the differences in the causal estimate when incorporating noninformative versus informative priors in the model averaging stage. We examine these approaches under common methods of propensity score implementation. In addition, we evaluate the impact of changing the size of Occam's window used to narrow down the range of possible models. We also assess the predictive performance of both Bayesian model averaging propensity score approaches and compare it with the case without Bayesian model averaging. Overall, results show that both Bayesian model averaging propensity score approaches recover the treatment effect estimates well and generally provide larger uncertainty estimates, as expected. Both Bayesian model averaging approaches offer slightly better prediction of the propensity score compared with the Bayesian approach with a single propensity score equation. Covariate balance checks for the case study show that both Bayesian model averaging approaches offer good balance. The fully Bayesian model averaging approach also provides posterior probability intervals of the balance indices.

  16. dBBQs: dataBase of Bacterial Quality scores.

    Science.gov (United States)

    Wanchai, Visanu; Patumcharoenpol, Preecha; Nookaew, Intawat; Ussery, David

    2017-12-28

    It is well-known that genome sequencing technologies are becoming significantly cheaper and faster. As a result of this, the exponential growth in sequencing data in public databases allows us to explore ever growing large collections of genome sequences. However, it is less known that the majority of available sequenced genome sequences in public databases are not complete, drafts of varying qualities. We have calculated quality scores for around 100,000 bacterial genomes from all major genome repositories and put them in a fast and easy-to-use database. Prokaryotic genomic data from all sources were collected and combined to make a non-redundant set of bacterial genomes. The genome quality score for each was calculated by four different measurements: assembly quality, number of rRNA and tRNA genes, and the occurrence of conserved functional domains. The dataBase of Bacterial Quality scores (dBBQs) was designed to store and retrieve quality scores. It offers fast searching and download features which the result can be used for further analysis. In addition, the search results are shown in interactive JavaScript chart framework using DC.js. The analysis of quality scores across major public genome databases find that around 68% of the genomes are of acceptable quality for many uses. dBBQs (available at http://arc-gem.uams.edu/dbbqs ) provides genome quality scores for all available prokaryotic genome sequences with a user-friendly Web-interface. These scores can be used as cut-offs to get a high-quality set of genomes for testing bioinformatics tools or improving the analysis. Moreover, all data of the four measurements that were combined to make the quality score for each genome, which can potentially be used for further analysis. dBBQs will be updated regularly and is freely use for non-commercial purpose.

  17. ITC Guidelines on Quality Control in Scoring, Test Analysis, and Reporting of Test Scores

    Science.gov (United States)

    Allalouf, Avi

    2014-01-01

    The Quality Control (QC) Guidelines are intended to increase the efficiency, precision, and accuracy of the scoring, analysis, and reporting process of testing. The QC Guidelines focus on large-scale testing operations where multiple forms of tests are created for use on set dates. However, they may also be used for a wide variety of other testing…

  18. Modelling the predictive performance of credit scoring

    Directory of Open Access Journals (Sweden)

    Shi-Wei Shen

    2013-07-01

    Research purpose: The purpose of this empirical paper was to examine the predictive performance of credit scoring systems in Taiwan. Motivation for the study: Corporate lending remains a major business line for financial institutions. However, in light of the recent global financial crises, it has become extremely important for financial institutions to implement rigorous means of assessing clients seeking access to credit facilities. Research design, approach and method: Using a data sample of 10 349 observations drawn between 1992 and 2010, logistic regression models were utilised to examine the predictive performance of credit scoring systems. Main findings: A test of Goodness of fit demonstrated that credit scoring models that incorporated the Taiwan Corporate Credit Risk Index (TCRI, micro- and also macroeconomic variables possessed greater predictive power. This suggests that macroeconomic variables do have explanatory power for default credit risk. Practical/managerial implications: The originality in the study was that three models were developed to predict corporate firms’ defaults based on different microeconomic and macroeconomic factors such as the TCRI, asset growth rates, stock index and gross domestic product. Contribution/value-add: The study utilises different goodness of fits and receiver operator characteristics during the examination of the robustness of the predictive power of these factors.

  19. Formation of borrower’s bank credit scoring integrated model

    Directory of Open Access Journals (Sweden)

    O.V. Lysenok

    2017-03-01

    Full Text Available The article proposes the borrower’s bank credit scoring model that is of particular relevance in an unstable world and Ukrainian financial markets. The essence of this integrated model is the consistent definition of indicators, which analyze the financial and economic situation and development of scoring that allows to calculate overall index, that is, the integral factor of credit scoring level of the bank to calculate which one uses the formed set of factors characterizing riskiness, profitability and liquidity of the banking institution. The author determines the factors according to their functional purpose; the former ones are divided into four groups: capital adequacy, loan portfolio quality, profitability and liquidity. Each group consists of four indicators; each indicator is assigned thresholds to determine the appropriate credit scoring level of the bank for one or another direction. The higher is the value of the integral factor, the more efficient and less risky is the financial and economic activity of banks and the higher is their credit scoring level. The study concludes that the proposed model for bank credit scoring differs with its transparency and clarity due to use in its implementation only public information. The disadvantages include the presence of the subjective factor in assigning a certain number of points based on expert and normative methods.

  20. Cognitive reserve is a determinant of health-related quality of life in patients with cirrhosis, independent of covert hepatic encephalopathy and model for end-stage liver disease score.

    Science.gov (United States)

    Patel, Ankit V; Wade, James B; Thacker, Leroy R; Sterling, Richard K; Siddiqui, Muhammad S; Stravitz, R Todd; Sanyal, Arun J; Luketic, Velimir; Puri, Puneet; Fuchs, Michael; Matherly, Scott; White, Melanie B; Unser, Ariel; Heuman, Douglas M; Bajaj, Jasmohan S

    2015-05-01

    Covert hepatic encephalopathy (CHE) is associated with cognitive dysfunction, which affects daily function and health-related quality of life (HRQOL) in patients with cirrhosis. The effects of CHE and liver disease are determined by cognitive reserve—the ability of the brain to cope with increasing damage while continuing to function—and are assessed by composite intelligence quotient (IQ) scores. We examined cognitive reserve as a determinant of HRQOL in patients with cirrhosis. We performed a prospective study of 118 outpatients with cirrhosis without overt HE (age, 56 y). We studied cognition using the standard paper-pencil battery; patients with below-normal results for more than 2 tests were considered to have CHE. We also assessed HRQOL (using the sickness impact profile [SIP]), psychosocial and physical scores (a high score indicates reduced HRQOL), model for end-stage liver disease (MELD) scores, and cognitive reserve (using the Barona Index, a validated IQ analysis, based on age, race, education, residence area, and occupation). Cognitive reserve was divided into average and high groups (109), and MELD and SIP scores were compared. We performed regression analyses, using total SIP score and psychosocial and physical dimensions as outcomes, with cognitive reserve, CHE, and MELD score as predictors. Study participants had average MELD scores of 9, and 14 years of education; 81% were white, 63% were urban residents, their mean IQ was 108 ± 8, and 54% had average cognitive reserve (the remaining 46% had high reserves). CHE was diagnosed in 49% of patients. Cognitive reserve was lower in patients with CHE (109) than without (105; P = .02). Cognitive reserve correlated with total SIP and psychosocial score (both r = -0.4; P cognitive reserve had a better HRQOL, despite similar MELD scores. In regression analyses, cognitive reserve was a significant predictor of total SIP (P cognitive reserve is associated with a better HRQOL in patients with cirrhosis

  1. Advanced empirical estimate of information value for credit scoring models

    Directory of Open Access Journals (Sweden)

    Martin Řezáč

    2011-01-01

    Full Text Available Credit scoring, it is a term for a wide spectrum of predictive models and their underlying techniques that aid financial institutions in granting credits. These methods decide who will get credit, how much credit they should get, and what further strategies will enhance the profitability of the borrowers to the lenders. Many statistical tools are avaiable for measuring quality, within the meaning of the predictive power, of credit scoring models. Because it is impossible to use a scoring model effectively without knowing how good it is, quality indexes like Gini, Kolmogorov-Smirnov statisic and Information value are used to assess quality of given credit scoring model. The paper deals primarily with the Information value, sometimes called divergency. Commonly it is computed by discretisation of data into bins using deciles. One constraint is required to be met in this case. Number of cases have to be nonzero for all bins. If this constraint is not fulfilled there are some practical procedures for preserving finite results. As an alternative method to the empirical estimates one can use the kernel smoothing theory, which allows to estimate unknown densities and consequently, using some numerical method for integration, to estimate value of the Information value. The main contribution of this paper is a proposal and description of the empirical estimate with supervised interval selection. This advanced estimate is based on requirement to have at least k, where k is a positive integer, observations of socres of both good and bad client in each considered interval. A simulation study shows that this estimate outperform both the empirical estimate using deciles and the kernel estimate. Furthermore it shows high dependency on choice of the parameter k. If we choose too small value, we get overestimated value of the Information value, and vice versa. Adjusted square root of number of bad clients seems to be a reasonable compromise.

  2. Automatic ECG quality scoring methodology: mimicking human annotators.

    Science.gov (United States)

    Johannesen, Lars; Galeotti, Loriano

    2012-09-01

    An algorithm to determine the quality of electrocardiograms (ECGs) can enable inexperienced nurses and paramedics to record ECGs of sufficient diagnostic quality. Previously, we proposed an algorithm for determining if ECG recordings are of acceptable quality, which was entered in the PhysioNet Challenge 2011. In the present work, we propose an improved two-step algorithm, which first rejects ECGs with macroscopic errors (signal absent, large voltage shifts or saturation) and subsequently quantifies the noise (baseline, powerline or muscular noise) on a continuous scale. The performance of the improved algorithm was evaluated using the PhysioNet Challenge database (1500 ECGs rated by humans for signal quality). We achieved a classification accuracy of 92.3% on the training set and 90.0% on the test set. The improved algorithm is capable of detecting ECGs with macroscopic errors and giving the user a score of the overall quality. This allows the user to assess the degree of noise and decide if it is acceptable depending on the purpose of the recording.

  3. Semiparametric Copula Models for Biometric Score Level

    NARCIS (Netherlands)

    Caselli, M.

    2016-01-01

    In biometric recognition systems, biometric samples (images of faces, finger- prints, voices, gaits, etc.) of people are compared and classifiers (matchers) indicate the level of similarity between any pair of samples by a score. If two samples of the same person are compared, a genuine score is

  4. Model for predicting the injury severity score.

    Science.gov (United States)

    Hagiwara, Shuichi; Oshima, Kiyohiro; Murata, Masato; Kaneko, Minoru; Aoki, Makoto; Kanbe, Masahiko; Nakamura, Takuro; Ohyama, Yoshio; Tamura, Jun'ichi

    2015-07-01

    To determine the formula that predicts the injury severity score from parameters that are obtained in the emergency department at arrival. We reviewed the medical records of trauma patients who were transferred to the emergency department of Gunma University Hospital between January 2010 and December 2010. The injury severity score, age, mean blood pressure, heart rate, Glasgow coma scale, hemoglobin, hematocrit, red blood cell count, platelet count, fibrinogen, international normalized ratio of prothrombin time, activated partial thromboplastin time, and fibrin degradation products, were examined in those patients on arrival. To determine the formula that predicts the injury severity score, multiple linear regression analysis was carried out. The injury severity score was set as the dependent variable, and the other parameters were set as candidate objective variables. IBM spss Statistics 20 was used for the statistical analysis. Statistical significance was set at P  Watson ratio was 2.200. A formula for predicting the injury severity score in trauma patients was developed with ordinary parameters such as fibrin degradation products and mean blood pressure. This formula is useful because we can predict the injury severity score easily in the emergency department.

  5. NCACO-score: An effective main-chain dependent scoring function for structure modeling

    Directory of Open Access Journals (Sweden)

    Dong Xiaoxi

    2011-05-01

    Full Text Available Abstract Background Development of effective scoring functions is a critical component to the success of protein structure modeling. Previously, many efforts have been dedicated to the development of scoring functions. Despite these efforts, development of an effective scoring function that can achieve both good accuracy and fast speed still presents a grand challenge. Results Based on a coarse-grained representation of a protein structure by using only four main-chain atoms: N, Cα, C and O, we develop a knowledge-based scoring function, called NCACO-score, that integrates different structural information to rapidly model protein structure from sequence. In testing on the Decoys'R'Us sets, we found that NCACO-score can effectively recognize native conformers from their decoys. Furthermore, we demonstrate that NCACO-score can effectively guide fragment assembly for protein structure prediction, which has achieved a good performance in building the structure models for hard targets from CASP8 in terms of both accuracy and speed. Conclusions Although NCACO-score is developed based on a coarse-grained model, it is able to discriminate native conformers from decoy conformers with high accuracy. NCACO is a very effective scoring function for structure modeling.

  6. High Framingham risk score decreases quality of life in adults

    Directory of Open Access Journals (Sweden)

    Christian Yosaputra

    2010-04-01

    Full Text Available Cardiovascular disease (CVD risk factors, such as diabetes, hypertension, hypercholesterolemia, smoking, and obesity tend to occur together in the general population. Increasing prevalence of multiple CVD risk factors has been related to increased risk of death from coronary heart disease and stroke. Studies have suggested that people with several risk factors of CVD may have impaired health-related quality of life. The objective of this study was to assess the association of CVD risk factors with quality of life (QOL among adults aged 40 to 65 years. A cross-sectional study was conducted involving 220 subjects 40 - 65 years of age at a health center. The CVD risk factors were assessed using the Framingham risk score that is the standard instrument for assessment of the risk of a first cardiac event. The risk factors assessed were age, smoking, blood pressure, total cholesterol and high density lipoprotein cholesterol concentrations. QOL was assessed by means of the WHOQOL-BREF instrument that had been prevalidated. The results of the study showed that 28.2% of subjects were smokers, 56.4% had stage 1 hypertension, 42.8% high total cholesterol and 13.6% low HDL cholesterol. The high risk group amounted to 45.5% and 42.3% constitued an intermediate risk group. High CVD risk scores were significantly associated with a low QOL for all domains (physical, psychological, social and environment (p=0.000. Preventing or reducing the multiple CVD risk factors to improve QOL is necessary among adults.

  7. Plasma Ascorbic Acid, A Priori Diet Quality Score, and Incident Hypertension: A Prospective Cohort Study.

    Science.gov (United States)

    Buijsse, Brian; Jacobs, David R; Steffen, Lyn M; Kromhout, Daan; Gross, Myron D

    2015-01-01

    Vitamin C may reduce risk of hypertension, either in itself or by marking a healthy diet pattern. We assessed whether plasma ascorbic acid and the a priori diet quality score relate to incident hypertension and whether they explain each other's predictive abilities. Data were from 2884 black and white adults (43% black, mean age 35 years) initially hypertension-free in the Coronary Artery Risk Development in Young Adults Study (study year 10, 1995-1996). Plasma ascorbic acid was assessed at year 10 and the diet quality score at year 7. Eight-hundred-and-forty cases of hypertension were documented between years 10 and 25. After multiple adjustments, each 12-point (1 SD) higher diet quality score at year 7 related to mean 3.7 μmol/L (95% CI 2.9 to 4.6) higher plasma ascorbic acid at year 10. In separate multiple-adjusted Cox regression models, the hazard ratio of hypertension per 19.6-μmol/L (1 SD) higher ascorbic acid was 0.85 (95% CI 0.79-0.92) and per 12-points higher diet score 0.86 (95% CI 0.79-0.94). These hazard ratios changed little with mutual adjustment of ascorbic acid and diet quality score for each other, or when adjusted for anthropometric variables, diabetes, and systolic blood pressure at year 10. Intake of dietary vitamin C and several food groups high in vitamin C content were inversely related to hypertension, whereas supplemental vitamin C was not. In conclusion, plasma ascorbic acid and the a priori diet quality score independently predict hypertension. This suggests that hypertension risk is reduced by improving overall diet quality and/or vitamin C status. The inverse association seen for dietary but not for supplemental vitamin C suggests that vitamin C status is preferably improved by eating foods rich in vitamin C, in addition to not smoking and other dietary habits that prevent ascorbic acid from depletion.

  8. Time to rethink sleep quality: PSQI scores reflect sleep quality on workdays.

    Science.gov (United States)

    Pilz, Luísa K; Keller, Lena Katharina; Lenssen, David; Roenneberg, Till

    2018-02-06

    The Pittsburgh Sleep Quality Index (PSQI) is the most common measure of sleep quality. Its questions refer to "usual" sleep habits during the last month. Considering how different sleep-wake behavior can be between work- and work-free days, we hypothesized that sleep quality should show similar differences.We investigated these potential differences in a cross-sectional online study using the original and two adapted versions of the PSQI that replaced "usual" by explicitly referring to sleep on work- or work-free days. Additionally, we investigated how these scores relate to chronotype and social jetlag assessed by the Munich ChronoType Questionnaire. Participants were recruited online, they had to be older than 18 years, following regular weekly work schedules, and should not be shift workers.All the questionnaires were filled out online. Repeated-measures analysis of variance was used to compare the three different versions of the PSQI (usual, work, work-free). To find out if PSQI score differences could be predicted by chronotype and/or social jetlag a mediation analysis was carried out.Workday PSQI scores were similar to the original "usual" scores, 2 points higher than the PSQI score on work-free days and above the cut-off designating poor sleep quality. PSQI components and time variables also differed between workdays and work-free days. Chronotype correlated with the difference between PSQI scores on workdays and on work-free days, an association mediated by social jetlag.Our results suggest that the original PSQI predominantly reports sleep quality on workdays and that work schedules may affect sleep quality. The mediation of social jetlag on the association of chronotype and PSQI score differences could mean that not chronotype per se, but rather the collision of an individuals´ chronotype with fixed work schedules explains the differences between sleep on workdays and work-free days.Understanding how sleep quality differs between workdays and work

  9. ABOUT PSYCHOLOGICAL VARIABLES IN APPLICATION SCORING MODELS

    Directory of Open Access Journals (Sweden)

    Pablo Rogers

    2015-01-01

    Full Text Available The purpose of this study is to investigate the contribution of psychological variables and scales suggested by Economic Psychology in predicting individuals’ default. Therefore, a sample of 555 individuals completed a self-completion questionnaire, which was composed of psychological variables and scales. By adopting the methodology of the logistic regression, the following psychological and behavioral characteristics were found associated with the group of individuals in default: a negative dimensions related to money (suffering, inequality and conflict; b high scores on the self-efficacy scale, probably indicating a greater degree of optimism and over-confidence; c buyers classified as compulsive; d individuals who consider it necessary to give gifts to children and friends on special dates, even though many people consider this a luxury; e problems of self-control identified by individuals who drink an average of more than four glasses of alcoholic beverage a day.

  10. Building "e-rater"® Scoring Models Using Machine Learning Methods. Research Report. ETS RR-16-04

    Science.gov (United States)

    Chen, Jing; Fife, James H.; Bejar, Isaac I.; Rupp, André A.

    2016-01-01

    The "e-rater"® automated scoring engine used at Educational Testing Service (ETS) scores the writing quality of essays. In the current practice, e-rater scores are generated via a multiple linear regression (MLR) model as a linear combination of various features evaluated for each essay and human scores as the outcome variable. This…

  11. SPOILAGE BACTERIA AND QUALITY INDEX METHOD SCORE IN REARED GILTHEAD SEABREAM

    Directory of Open Access Journals (Sweden)

    A. Panebianco

    2008-12-01

    Full Text Available A model to predict the Quality Index Method (QIM score increase during the storage was set for Sparus aurata. In this regard, 126 specimens were analysed during the storage in ice, enumerating the spoilage bacteria in Iron Agar as well as evaluating the QIM. The growth curves and the observed QIM scores were used to calculate (fitting method the terms a and b which relate the bacterial growth to the predicted QIM values. The presumptive Pseudomonas better explains the QIM trends; furthermore the model was validated with regard to other QIM curves obtained during a temperature fluctuating storage, introducing into the predictive system the secondary model for Shewanella spp. (Dalgard, 1995 and Rasmussen et al. (2002. In this case, the model produced a good estimation of the observed QIM.

  12. Integrating Seasonal Oscillations into Basel II Behavioural Scoring Models

    Directory of Open Access Journals (Sweden)

    Goran Klepac

    2007-09-01

    Full Text Available The article introduces a new methodology of temporal influence measurement (seasonal oscillations, temporal patterns for behavioural scoring development purposes. The paper shows how significant temporal variables can be recognised and then integrated into the behavioural scoring models in order to improve model performance. Behavioural scoring models are integral parts of the Basel II standard on Internal Ratings-Based Approaches (IRB. The IRB approach much more precisely reflects individual risk bank profile.A solution of the problem of how to analyze and integrate macroeconomic and microeconomic factors represented in time series into behavioural scorecard models will be shown in the paper by using the REF II model.

  13. Trained-user opinion about Welfare Quality measures and integrated scoring of dairy cattle welfare.

    Science.gov (United States)

    de Graaf, S; Ampe, B; Winckler, C; Radeski, M; Mounier, L; Kirchner, M K; Haskell, M J; van Eerdenburg, F J C M; des Roches, A de Boyer; Andreasen, S N; Bijttebier, J; Lauwers, L; Verbeke, W; Tuyttens, F A M

    2017-08-01

    The Welfare Quality (WQ) protocol for on-farm dairy cattle welfare assessment describes 27 measures and a stepwise method for integrating values for these measures into 11 criteria scores, grouped further into 4 principle scores and finally into an overall welfare categorization with 4 levels. We conducted an online survey to examine whether trained users' opinions of the WQ protocol for dairy cattle correspond with the integrated scores (criteria, principles, and overall categorization) calculated according to the WQ protocol. First, the trained users' scores (n = 8-15) for reliability and validity and their ranking of the importance of all measures for herd welfare were compared with the degree of actual effect of these measures on the WQ integrated scores. Logistic regression was applied to identify the measures that affected the WQ overall welfare categorization into the "not classified" or "enhanced" categories for a database of 491 European herds. The smallest multivariate model maintaining the highest percentage of both sensitivity and specificity for the "enhanced" category contained 6 measures, whereas the model for "not classified" contained 4 measures. Some of the measures that were ranked as least important by trained users (e.g., measures relating to drinkers) had the highest influence on the WQ overall welfare categorization. Conversely, measures rated as most important by the trained users (e.g., lameness and mortality) had a lower effect on the WQ overall category. In addition, trained users were asked to allocate criterion and overall welfare scores to 7 focal herds selected from the database (n = 491 herds). Data on all WQ measures for these focal herds relative to all other herds in the database were provided. The degree to which expert scores corresponded to each other, the systematic difference, and the correspondence between median trained-user opinion and the WQ criterion scores were then tested. The level of correspondence between expert

  14. Key performance indicators score (KPIs-score) based on clinical and laboratorial parameters can establish benchmarks for internal quality control in an ART program.

    Science.gov (United States)

    Franco, José G; Petersen, Claudia G; Mauri, Ana L; Vagnini, Laura D; Renzi, Adriana; Petersen, Bruna; Mattila, M C; Comar, Vanessa A; Ricci, Juliana; Dieamant, Felipe; Oliveira, João Batista A; Baruffi, Ricardo L R

    2017-06-01

    KPIs have been employed for internal quality control (IQC) in ART. However, clinical KPIs (C-KPIs) such as age, AMH and number of oocytes collected are never added to laboratory KPIs (L-KPIs), such as fertilization rate and morphological quality of the embryos for analysis, even though the final endpoint is the evaluation of clinical pregnancy rates. This paper analyzed if a KPIs-score strategy with clinical and laboratorial parameters could be used to establish benchmarks for IQC in ART cycles. In this prospective cohort study, 280 patients (36.4±4.3years) underwent ART. The total KPIs-score was obtained by the analysis of age, AMH (AMH Gen II ELISA/pre-mixing modified, Beckman Coulter Inc.), number of metaphase-II oocytes, fertilization rates and morphological quality of the embryonic lot. The total KPIs-score (C-KPIs+L-KPIs) was correlated with the presence or absence of clinical pregnancy. The relationship between the C-KPIs and L-KPIs scores was analyzed to establish quality standards, to increase the performance of clinical and laboratorial processes in ART. The logistic regression model (LRM), with respect to pregnancy and total KPIs-score (280 patients/102 clinical pregnancies), yielded an odds ratio of 1.24 (95%CI = 1.16-1.32). There was also a significant difference (pperformed to assess quality standards. This total KPIs-score could set up benchmarks for clinical pregnancy. Moreover, IQC can use C-KPIs and L-KPIs scores to detect problems in the clinical-laboratorial interface.

  15. Modelling Meat Quality Attributes.

    OpenAIRE

    Farrell, Terence C.

    2001-01-01

    Recent meat demand models incorporate demand functions for cuts of meat rather than whole carcasses. However, parameters for “meat quality” are seldom included in such models. Modelling difficulty arises as meat cuts are heterogeneous in their quality attributes. Meat quality may be assessed by measurement of attributes including tenderness, juiciness and flavour. Cooking method and cooking time are the two primary factors that affect meat-eating quality. The purpose of this paper is to show ...

  16. Supersparse Linear Integer Models for Optimized Medical Scoring Systems

    OpenAIRE

    Ustun, Berk; Rudin, Cynthia

    2015-01-01

    Scoring systems are linear classification models that only require users to add, subtract and multiply a few small numbers in order to make a prediction. These models are in widespread use by the medical community, but are difficult to learn from data because they need to be accurate and sparse, have coprime integer coefficients, and satisfy multiple operational constraints. We present a new method for creating data-driven scoring systems called a Supersparse Linear Integer Model (SLIM). SLIM...

  17. A Soft Intelligent Risk Evaluation Model for Credit Scoring Classification

    Directory of Open Access Journals (Sweden)

    Mehdi Khashei

    2015-09-01

    Full Text Available Risk management is one of the most important branches of business and finance. Classification models are the most popular and widely used analytical group of data mining approaches that can greatly help financial decision makers and managers to tackle credit risk problems. However, the literature clearly indicates that, despite proposing numerous classification models, credit scoring is often a difficult task. On the other hand, there is no universal credit-scoring model in the literature that can be accurately and explanatorily used in all circumstances. Therefore, the research for improving the efficiency of credit-scoring models has never stopped. In this paper, a hybrid soft intelligent classification model is proposed for credit-scoring problems. In the proposed model, the unique advantages of the soft computing techniques are used in order to modify the performance of the traditional artificial neural networks in credit scoring. Empirical results of Australian credit card data classifications indicate that the proposed hybrid model outperforms its components, and also other classification models presented for credit scoring. Therefore, the proposed model can be considered as an appropriate alternative tool for binary decision making in business and finance, especially in high uncertainty conditions.

  18. Semiparametric copula models for biometric score level fusion

    NARCIS (Netherlands)

    Susyanto, N.

    2016-01-01

    In biometric recognition, biometric samples (images of faces, fingerprints, voices, gaits, etc.) of people are compared and matchers (classifiers) indicate the level of similarity between any pair of samples by a score. If we model the joint distribution of all scores by a (semiparametric) Gaussian

  19. Building a Scoring Model for Small and Medium Enterprises

    Directory of Open Access Journals (Sweden)

    Răzvan Constantin CARACOTA

    2010-09-01

    Full Text Available The purpose of the paper is to produce a scoring model for small and medium enterprises seeking financing through a bank loan. To analyze the loan application, scoring system developed for companies is as follows: scoring quantitative factors and scoring qualitative factors. We have estimated the probability of default using logistic regression. Regression coefficients determination was made with a solver in Excel using five ratios as input data. Analyses and simulations were conducted on a sample of 113 companies, all accepted for funding. Based on financial information obtained over two years, 2007 and 2008, we could establishe and appreciate the default value.

  20. Significance of chick quality score in broiler production

    NARCIS (Netherlands)

    Ven, van de L.J.F.; Wagenberg, van A.V.; Uitdehaag, K.A.; Groot Koerkamp, P.W.G.; Kemp, B.; Brand, van den H.

    2012-01-01

    The quality of day old chicks is crucial for profitable broiler production, but a difficult trait to define. In research, both qualitative and quantitative measures are used with variable predictive value for subsequent performance. In hatchery practice, chick quality is judged on a binomial scale,

  1. Possibilities of the Statistical Scoring Models' Application at Lithuanian Banks

    OpenAIRE

    Dzidzevičiūtė, Laima

    2013-01-01

    The goal of this dissertation is to develop the rating system of Lithuanian companies based on the statistical scoring model and assess the possibilities of this system‘s application at Lithuanian banks. The dissertation consists of three Chapters. Development and application peculiarities of rating systems based on statistical scoring models are described in the first Chapter. In the second Chapter the results of the survey of commercial banks and foreign bank branches, operating in the coun...

  2. Does segmentation always improve model performance in credit scoring?

    OpenAIRE

    Bijak, Katarzyna; Thomas, Lyn C.

    2012-01-01

    Credit scoring allows for the credit risk assessment of bank customers. A single scoring model (scorecard) can be developed for the entire customer population, e.g. using logistic regression. However, it is often expected that segmentation, i.e. dividing the population into several groups and building separate scorecards for them, will improve the model performance. The most common statistical methods for segmentation are the two-step approaches, where logistic regression follows Classificati...

  3. ReQON: a Bioconductor package for recalibrating quality scores from next-generation sequencing data

    Directory of Open Access Journals (Sweden)

    Cabanski Christopher R

    2012-09-01

    Full Text Available Abstract Background Next-generation sequencing technologies have become important tools for genome-wide studies. However, the quality scores that are assigned to each base have been shown to be inaccurate. If the quality scores are used in downstream analyses, these inaccuracies can have a significant impact on the results. Results Here we present ReQON, a tool that recalibrates the base quality scores from an input BAM file of aligned sequencing data using logistic regression. ReQON also generates diagnostic plots showing the effectiveness of the recalibration. We show that ReQON produces quality scores that are both more accurate, in the sense that they more closely correspond to the probability of a sequencing error, and do a better job of discriminating between sequencing errors and non-errors than the original quality scores. We also compare ReQON to other available recalibration tools and show that ReQON is less biased and performs favorably in terms of quality score accuracy. Conclusion ReQON is an open source software package, written in R and available through Bioconductor, for recalibrating base quality scores for next-generation sequencing data. ReQON produces a new BAM file with more accurate quality scores, which can improve the results of downstream analysis, and produces several diagnostic plots showing the effectiveness of the recalibration.

  4. Validation of the Six Sigma Z-score for the quality assessment of clinical laboratory timeliness.

    Science.gov (United States)

    Ialongo, Cristiano; Bernardini, Sergio

    2017-10-17

    The International Federation of Clinical Chemistry and Laboratory Medicine has introduced in recent times the turnaround time (TAT) as mandatory quality indicator for the postanalytical phase. Classic TAT indicators, namely, average, median, 90th percentile and proportion of acceptable test (PAT), are in use since almost 40 years and to date represent the mainstay for gauging the laboratory timeliness. In this study, we investigated the performance of the Six Sigma Z-score, which was previously introduced as a device for the quantitative assessment of timeliness. A numerical simulation was obtained modeling the actual TAT data set using the log-logistic probability density function. Five thousand replicates for each size of the artificial TAT random sample (n=20, 50, 250 and 1000) were generated, and different laboratory conditions were simulated manipulating the PDF in order to generate more or less variable data. The Z-score and the classic TAT indicators were assessed for precision (%CV), robustness toward right-tailing (precision at different sample variability), sensitivity and specificity. Z-score showed sensitivity and specificity comparable to PAT (≈80% with n≥250), but superior precision that ranged within 20% by moderately small sized samples (n≥50); furthermore, Z-score was less affected by the value of the cutoff used for setting the acceptable TAT, as well as by the sample variability that reflected into the magnitude of right-tailing. The Z-score was a valid indicator of laboratory timeliness and a suitable device to improve as well as to maintain the achieved quality level.

  5. Oral health-related quality-of-life scores differ by socioeconomic status and caries experience.

    Science.gov (United States)

    Chaffee, Benjamin W; Rodrigues, Priscila Humbert; Kramer, Paulo Floriani; Vítolo, Márcia Regina; Feldens, Carlos Alberto

    2017-06-01

    (i) Quantify the relative association between child dental caries experience and maternal-reported child oral health-related quality of life (OHRQoL); (ii) examine whether that association differed according to family socioeconomic status (SES); and (iii) explore whether absolute OHRQoL varied by family SES at similar levels of child caries experience. This study was a cross-sectional analysis of children in southern Brazil (n=456, mean age: 38 months) participating in an existing health centre-based intervention study. OHRQoL impact was quantified as mean score on the Brazilian Early Childhood Oral Health Impact Scale (ECOHIS) and compared over categories of caries experience (dmft: 0, dmft: 1-4, dmft: ≥5). Adjusted ECOHIS ratios between caries categories were calculated using regression modelling, overall and within socioeconomic strata defined by maternal education, social class and household income. Caries prevalence (dmft >0) was 39.7%, mean ECOHIS score was 2.0 (SD: 3.5), and 44.3% of mothers reported OHRQoL impact (ECOHIS score >0). Increasing child caries experience was associated with worsening child and family quality of life: ECOHIS scores were 3.0 times greater (95% CI: 2.0, 4.4) for children with dmft ≥5 vs dmft=0, a pattern that persisted regardless of family socioeconomic status (P for interaction: all >0.3). However, adjusted for dental status and sociodemographic characteristics, mean ECOHIS scores were lower when reported by mothers of less educational attainment (ratio: 0.7; 95% CI: 0.5, 1.0), lower social class (ratio: 0.7; 95% CI: 0.5, 1.0) or in lower income households (ratio: 0.8; 95% CI: 0.6, 1.3). Dental caries was associated with negative child and family experiences and lower OHRQoL across all social groups; yet, families facing greater disadvantage may report lesser quality-of-life impact at the same level of disease experience. Thus, subjective quality-of-life measures may differ under varying social contexts, with possible

  6. A Human Capital Model of Educational Test Scores

    DEFF Research Database (Denmark)

    McIntosh, James; D. Munk, Martin

    Latent class Poisson count models are used to analyze a sample of Danish test score results from a cohort of individuals born in 1954-55 and tested in 1968. The procedure takes account of unobservable effects as well as excessive zeros in the data. The bulk of unobservable effects are uncorrelated...... with observable parental attributes and, thus, are environmental rather than genetic in origin. We show that the test scores measure manifest or measured ability as it has evolved over the life of the respondent and is, thus, more a product of the human capital formation process than some latent or fundamental...... measure of pure cognitive ability. We find that variables which are not closely associated with traditional notions of intelligence explain a significant proportion of the variation in test scores. This adds to the complexity of interpreting test scores and suggests that school culture, attitudes...

  7. Diet Quality Scores of Australian Adults Who Have Completed the Healthy Eating Quiz.

    Science.gov (United States)

    Williams, Rebecca L; Rollo, Megan E; Schumacher, Tracy; Collins, Clare E

    2017-08-15

    Higher scores obtained using diet quality and variety indices are indicators of more optimal food and nutrient intakes and lower chronic disease risk. The aim of this paper is to describe the overall diet quality and variety in a sample of Australian adults who completed an online diet quality self-assessment tool, the Healthy Eating Quiz. The Healthy Eating Quiz takes approximately five minutes to complete online and computes user responses into a total diet quality score (out of a maximum of 73 points) and then categorizes them into the following groups: 'needs work' (eating quiz scores were higher in those aged 45-75 years compared to 16-44 years ( p Eating Quiz data indicates that individuals receiving feedback on how to improve their score can improve their diet quality, there is a need for further nutrition promotion interventions in Australian adults.

  8. Developing a high-quality scoring function for membrane protein structures based on specific inter-residue interactions

    Science.gov (United States)

    Heim, Andrew J.; Li, Zhijun

    2012-03-01

    Membrane proteins are of particular biological and pharmaceutical importance, and computational modeling and structure prediction approaches play an important role in studies of membrane proteins. Developing an accurate model quality assessment program is of significance to the structure prediction of membrane proteins. Few such programs are proposed that can be applied to a broad range of membrane protein classes and perform with high accuracy. We developed a new model scoring function Interaction-based Quality assessment (IQ), based on the analysis of four types of inter-residue interactions within the transmembrane domains of helical membrane proteins. This function was tested using three high-quality model sets: all 206 models of GPCR Dock 2008, all 284 models of GPCR Dock 2010, and all 92 helical membrane protein models of the HOMEP set. For all three sets, the scoring function can select the native structures among all of the models with the success rates of 93, 85, and 100% respectively. For comparison, these three model sets were also adopted for a recently published model assessment program for membrane protein structures, ProQM, which gave the success rates of 85, 79, and 92% separately. These results suggested that IQ outperforms ProQM when only the transmembrane regions of the models are considered. This scoring function should be useful for the computational modeling of membrane proteins.

  9. Low Quality of Basic Caregiving Environments in Child Care: Actual Reality or Artifact of Scoring?

    Science.gov (United States)

    Norris, Deborah J.; Guss, Shannon

    2016-01-01

    Quality Rating Improvement Systems (QRIS) frequently include the Infant-Toddler Environment Rating Scale-Revised (ITERS-R) as part of rating and improving child care quality. However, studies utilizing the ITERS-R consistently report low quality, especially for basic caregiving items. This research examined whether the low scores reflected the…

  10. Changes in Diet Quality Scores and Risk of Cardiovascular Disease Among US Men and Women.

    Science.gov (United States)

    Sotos-Prieto, Mercedes; Bhupathiraju, Shilpa N; Mattei, Josiemer; Fung, Teresa T; Li, Yanping; Pan, An; Willett, Walter C; Rimm, Eric B; Hu, Frank B

    2015-12-08

    Adherence to several diet quality scores, including the Alternative Healthy Eating Index, Alternative Mediterranean Diet score, and Dietary Approach to Stop Hypertension, has been associated with lower risk of cardiovascular disease (CVD), but little is known about how changes in these scores over time influence subsequent CVD risk. We analyzed the association between 4-year changes in the 3 diet quality scores (Alternative Healthy Eating Index, Alternative Mediterranean Diet score, and Dietary Approach to Stop Hypertension) and subsequent cardiovascular disease (CVD) risk among 29 343 men in the Health Professionals Follow-up Study and 51 195 women in the Nurses' Health Study (1986-2010). During 1 394 702 person-years of follow-up, we documented 11 793 CVD cases. Compared with participants whose diet quality remained relatively stable in each 4-year period, those with the greatest improvement in diet quality scores had a 7% to 8% lower CVD risk in the subsequent 4-year period (pooled hazard ratio, 0.92 [95% confidence interval (CI), 0.87-0.99] for the Alternative Healthy Eating Index; 0.93 [95% CI, 0.85-1.02] for the Alternative Mediterranean Diet score; and 0.93 [95% CI, 0.87-0.99] for the Dietary Approach to Stop Hypertension; all P for trend the long term, increasing the diet scores from baseline to the first 4-year follow-up was associated with lower CVD risk during the next 20 years (7% [95% CI, 1-12] for the Alternative Healthy Eating Index, and 9% [95% CI, 3-14] for the Alternative Mediterranean Diet score). A decrease in diet quality scores was associated with significantly elevated risk of CVD in subsequent time periods. Improving adherence to diet quality scores over time is associated with significantly lower CVD risk in both the short term and long term. © 2015 American Heart Association, Inc.

  11. Rating the quality of intensive care units: is it a function of the intensive care unit scoring system?

    Science.gov (United States)

    Glance, Laurent G; Osler, Turner M; Dick, Andrew

    2002-09-01

    Intensive care units (ICUs) use severity-adjusted mortality measures such as the standardized mortality ratio to benchmark their performance. Prognostic scoring systems such as Acute Physiology and Chronic Health Evaluation (APACHE) II, Simplified Acute Physiology Score II, and Mortality Probability Model II0 permit performance-based comparisons of ICUs by adjusting for severity of disease and case mix. Whether different risk-adjustment methods agree on the identity of ICU quality outliers within a single database has not been previously investigated. The objective of this study was to determine whether the identity of ICU quality outliers depends on the ICU scoring system used to calculate the standardized mortality ratio. Retrospective cohort study of 16,604 patients from 32 hospitals based on the outcomes database (Project IMPACT) created by the Society of Critical Care Medicine. The ICUs were a mixture of medical, surgical, and mixed medical-surgical ICUs in urban and nonurban settings. Standardized mortality ratios for each ICU were calculated using APACHE II, Simplified Acute Physiology Score II, and Mortality Probability Model II. ICU quality outliers were defined as ICUs whose standardized mortality ratio was statistically different from 1. Kappa analysis was used to determine the extent of agreement between the scoring systems on the identity of hospital quality outliers. The intraclass correlation coefficient was calculated to estimate the reliability of standardized mortality ratios obtained using the three risk-adjustment methods. Kappa analysis showed fair to moderate agreement among the three scoring systems in identifying ICU quality outliers; the intraclass correlation coefficient suggested moderate to substantial agreement between the scoring systems. The majority of ICUs were classified as high-performance ICUs by all three scoring systems. All three scoring systems exhibited good discrimination and poor calibration in this data set. APACHE II

  12. Geographically Weighted Logistic Regression Applied to Credit Scoring Models

    Directory of Open Access Journals (Sweden)

    Pedro Henrique Melo Albuquerque

    Full Text Available Abstract This study used real data from a Brazilian financial institution on transactions involving Consumer Direct Credit (CDC, granted to clients residing in the Distrito Federal (DF, to construct credit scoring models via Logistic Regression and Geographically Weighted Logistic Regression (GWLR techniques. The aims were: to verify whether the factors that influence credit risk differ according to the borrower’s geographic location; to compare the set of models estimated via GWLR with the global model estimated via Logistic Regression, in terms of predictive power and financial losses for the institution; and to verify the viability of using the GWLR technique to develop credit scoring models. The metrics used to compare the models developed via the two techniques were the AICc informational criterion, the accuracy of the models, the percentage of false positives, the sum of the value of false positive debt, and the expected monetary value of portfolio default compared with the monetary value of defaults observed. The models estimated for each region in the DF were distinct in their variables and coefficients (parameters, with it being concluded that credit risk was influenced differently in each region in the study. The Logistic Regression and GWLR methodologies presented very close results, in terms of predictive power and financial losses for the institution, and the study demonstrated viability in using the GWLR technique to develop credit scoring models for the target population in the study.

  13. Comparing State SAT Scores Using a Mixture Modeling Approach

    Science.gov (United States)

    Kim, YoungKoung Rachel

    2009-01-01

    Presented at the national conference for AERA (American Educational Research Association) in April 2009. The large variability of SAT taker population across states makes state-by-state comparisons of the SAT scores challenging. Using a mixture modeling approach, therefore, the current study presents a method of identifying subpopulations in terms…

  14. Optimizing Scoring and Sampling Methods for Assessing Built Neighborhood Environment Quality in Residential Areas

    Directory of Open Access Journals (Sweden)

    Joel Adu-Brimpong

    2017-03-01

    Full Text Available Optimization of existing measurement tools is necessary to explore links between aspects of the neighborhood built environment and health behaviors or outcomes. We evaluate a scoring method for virtual neighborhood audits utilizing the Active Neighborhood Checklist (the Checklist, a neighborhood audit measure, and assess street segment representativeness in low-income neighborhoods. Eighty-two home neighborhoods of Washington, D.C. Cardiovascular Health/Needs Assessment (NCT01927783 participants were audited using Google Street View imagery and the Checklist (five sections with 89 total questions. Twelve street segments per home address were assessed for (1 Land-Use Type; (2 Public Transportation Availability; (3 Street Characteristics; (4 Environment Quality and (5 Sidewalks/Walking/Biking features. Checklist items were scored 0–2 points/question. A combinations algorithm was developed to assess street segments’ representativeness. Spearman correlations were calculated between built environment quality scores and Walk Score®, a validated neighborhood walkability measure. Street segment quality scores ranged 10–47 (Mean = 29.4 ± 6.9 and overall neighborhood quality scores, 172–475 (Mean = 352.3 ± 63.6. Walk scores® ranged 0–91 (Mean = 46.7 ± 26.3. Street segment combinations’ correlation coefficients ranged 0.75–1.0. Significant positive correlations were found between overall neighborhood quality scores, four of the five Checklist subsection scores, and Walk Scores® (r = 0.62, p < 0.001. This scoring method adequately captures neighborhood features in low-income, residential areas and may aid in delineating impact of specific built environment features on health behaviors and outcomes.

  15. Fuzzy techniques for subjective workload-score modeling under uncertainties.

    Science.gov (United States)

    Kumar, Mohit; Arndt, Dagmar; Kreuzfeld, Steffi; Thurow, Kerstin; Stoll, Norbert; Stoll, Regina

    2008-12-01

    This paper deals with the development of a computer model to estimate the subjective workload score of individuals by evaluating their heart-rate (HR) signals. The identification of a model to estimate the subjective workload score of individuals under different workload situations is too ambitious a task because different individuals (due to different body conditions, emotional states, age, gender, etc.) show different physiological responses (assessed by evaluating the HR signal) under different workload situations. This is equivalent to saying that the mathematical mappings between physiological parameters and the workload score are uncertain. Our approach to deal with the uncertainties in a workload-modeling problem consists of the following steps: 1) The uncertainties arising due the individual variations in identifying a common model valid for all the individuals are filtered out using a fuzzy filter; 2) stochastic modeling of the uncertainties (provided by the fuzzy filter) use finite-mixture models and utilize this information regarding uncertainties for identifying the structure and initial parameters of a workload model; and 3) finally, the workload model parameters for an individual are identified in an online scenario using machine learning algorithms. The contribution of this paper is to propose, with a mathematical analysis, a fuzzy-based modeling technique that first filters out the uncertainties from the modeling problem, analyzes the uncertainties statistically using finite-mixture modeling, and, finally, utilizes the information about uncertainties for adapting the workload model to an individual's physiological conditions. The approach of this paper, demonstrated with the real-world medical data of 11 subjects, provides a fuzzy-based tool useful for modeling in the presence of uncertainties.

  16. Untrained consumer assessment of the eating quality of beef: 1. A single composite score can predict beef quality grades.

    Science.gov (United States)

    Bonny, S P F; Hocquette, J-F; Pethick, D W; Legrand, I; Wierzbicki, J; Allen, P; Farmer, L J; Polkinghorne, R J; Gardner, G E

    2017-08-01

    Quantifying consumer responses to beef across a broad range of demographics, nationalities and cooking methods is vitally important for any system evaluating beef eating quality. On the basis of previous work, it was expected that consumer scores would be highly accurate in determining quality grades for beef, thereby providing evidence that such a technique could be used to form the basis of and eating quality grading system for beef. Following the Australian MSA (Meat Standards Australia) testing protocols, over 19 000 consumers from Northern Ireland, Poland, Ireland, France and Australia tasted cooked beef samples, then allocated them to a quality grade; unsatisfactory, good-every-day, better-than-every-day and premium. The consumers also scored beef samples for tenderness, juiciness, flavour-liking and overall-liking. The beef was sourced from all countries involved in the study and cooked by four different cooking methods and to three different degrees of doneness, with each experimental group in the study consisting of a single cooking doneness within a cooking method for each country. For each experimental group, and for the data set as a whole, a linear discriminant function was calculated, using the four sensory scores which were used to predict the quality grade. This process was repeated using two conglomerate scores which are derived from weighting and combining the consumer sensory scores for tenderness, juiciness, flavour-liking and overall-liking, the original meat quality 4 score (oMQ4) (0.4, 0.1, 0.2, 0.3) and current meat quality 4 score (cMQ4) (0.3, 0.1, 0.3, 0.3). From the results of these analyses, the optimal weightings of the sensory scores to generate an 'ideal meat quality 4 score (MQ4)' for each country were calculated, and the MQ4 values that reflected the boundaries between the four quality grades were determined. The oMQ4 weightings were far more accurate in categorising European meat samples than the cMQ4 weightings, highlighting that

  17. Trained-user opinion about Welfare Quality measures and integrated scoring of dairy cattle welfare

    NARCIS (Netherlands)

    de Graaf, S; Ampe, B.; Winckler, C.; Radeski, M.; Mounier, L.; Kirchner, M.K.; Haskell, M.J.; van Eerdenburg, F J C M; De Boyer Des Roches, A.; Andreasen, S.N.; Bijttebier, J.; Lauwers, L; Verbeke, W.; Tuyttens, F.A.M.

    2017-01-01

    The Welfare Quality (WQ) protocol for on-farm dairy cattle welfare assessment describes 27 measures and a stepwise method for integrating values for these measures into 11 criteria scores, grouped further into 4 principle scores and finally into an overall welfare categorization with 4 levels. We

  18. Effect of mandibular advancement device on sleep bruxism score and sleep quality.

    Science.gov (United States)

    Solanki, Nehal; Singh, Balendra Pratap; Chand, Pooran; Siddharth, Ramashankar; Arya, Deeksha; Kumar, Lakshya; Tripathi, Suryakant; Jivanani, Hemant; Dubey, Abhishek

    2017-01-01

    The use of mandibular advancement devices (MADs) in the treatment of sleep bruxism is gaining widespread importance. However, the effects of MADs on sleep bruxism scores, sleep quality, and occlusal force are not clear. The purpose of this clinical study was to analyze the effect of MADs on sleep bruxism scores, sleep quality, and occlusal force. This uncontrolled before and after study enrolled 30 participants with sleep bruxism. Outcomes assessed were sleep quality, sleep bruxism scores (sleep bruxism bursts and sleep bruxism episodes/hour), and occlusal force before and after 15 and 30 days of using a MAD. Sleep bruxism scores were assessed by ambulatory polysomnography and sleep quality by using the Pittsburgh sleep quality index (PSQI). Occlusal force was recorded by using a digital gnathodynamometer in the first molar region on both sides. Statistical analysis was done by 1-factor repeated measures ANOVA (α=.05). Statistically significant reductions in sleep bruxism bursts/h, sleep bruxism episodes/h, and PSQI scores were found after 15 and 30 days of using a MAD (Psleep bruxism scores, sleep quality, and reduction in occlusal force in sleep bruxism participants after using MADs. Copyright © 2016 Editorial Council for the Journal of Prosthetic Dentistry. Published by Elsevier Inc. All rights reserved.

  19. Diet Quality Scores of Australian Adults Who Have Completed the Healthy Eating Quiz

    Science.gov (United States)

    Williams, Rebecca L.; Rollo, Megan E.; Schumacher, Tracy; Collins, Clare E.

    2017-01-01

    Higher scores obtained using diet quality and variety indices are indicators of more optimal food and nutrient intakes and lower chronic disease risk. The aim of this paper is to describe the overall diet quality and variety in a sample of Australian adults who completed an online diet quality self-assessment tool, the Healthy Eating Quiz. The Healthy Eating Quiz takes approximately five minutes to complete online and computes user responses into a total diet quality score (out of a maximum of 73 points) and then categorizes them into the following groups: ‘needs work’ (<33), ‘getting there’ (33–38), ‘excellent’ (39–46), or ’outstanding’ (47+). There was a total of 93,252 first-time respondents, of which 76% were female. Over 80% of respondents were between 16–44 years of age. The mean total score was 34.1 ± 9.7 points. Females had a higher total score than males (p < 0.001) and vegetarians had higher total scores than non-vegetarians (p < 0.001). Healthy eating quiz scores were higher in those aged 45–75 years compared to 16–44 years (p < 0.001). When comparing Socioeconomic Indices for Areas deciles, those most disadvantaged had a lower total score than those least disadvantaged (p < 0.001). Repeat measures showed that those who scored lowest (needs work) in their first completion increased their total score by 3.2 ± 7.4 at their second completion (p < 0.001). While the Healthy Eating Quiz data indicates that individuals receiving feedback on how to improve their score can improve their diet quality, there is a need for further nutrition promotion interventions in Australian adults. PMID:28809805

  20. Traversing thek-mer Landscape of NGS Read Datasets for Quality Score Sparsification.

    Science.gov (United States)

    Yu, Y William; Yorukoglu, Deniz; Berger, Bonnie

    2014-04-01

    It is becoming increasingly impractical to indefinitely store raw sequencing data for later processing in an uncompressed state. In this paper, we describe a scalable compressive framework, Read-Quality-Sparsifier (RQS), which substantially outperforms the compression ratio and speed of other de novo quality score compression methods while maintaining SNP-calling accuracy. Surprisingly, RQS also improves the SNP-calling accuracy on a gold-standard, real-life sequencing dataset (NA12878) using a k -mer density profile constructed from 77 other individuals from the 1000 Genomes Project. This improvement in downstream accuracy emerges from the observation that quality score values within NGS datasets are inherently encoded in the k -mer landscape of the genomic sequences. To our knowledge, RQS is the first scalable sequence based quality compression method that can efficiently compress quality scores of terabyte-sized and larger sequencing datasets. An implementation of our method, RQS, is available for download at: http://rqs.csail.mit.edu/.

  1. Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death

    Directory of Open Access Journals (Sweden)

    Chen-Guang Ding

    2017-01-01

    Conclusions: The scoring model might be a good noninvasive tool for assessing the quality of DCD kidneys before donation and potentially useful for physicians to make optimal decisions about donor organ offers.

  2. Protein structural model selection by combining consensus and single scoring methods.

    Directory of Open Access Journals (Sweden)

    Zhiquan He

    Full Text Available Quality assessment (QA for predicted protein structural models is an important and challenging research problem in protein structure prediction. Consensus Global Distance Test (CGDT methods assess each decoy (predicted structural model based on its structural similarity to all others in a decoy set and has been proved to work well when good decoys are in a majority cluster. Scoring functions evaluate each single decoy based on its structural properties. Both methods have their merits and limitations. In this paper, we present a novel method called PWCom, which consists of two neural networks sequentially to combine CGDT and single model scoring methods such as RW, DDFire and OPUS-Ca. Specifically, for every pair of decoys, the difference of the corresponding feature vectors is input to the first neural network which enables one to predict whether the decoy-pair are significantly different in terms of their GDT scores to the native. If yes, the second neural network is used to decide which one of the two is closer to the native structure. The quality score for each decoy in the pool is based on the number of winning times during the pairwise comparisons. Test results on three benchmark datasets from different model generation methods showed that PWCom significantly improves over consensus GDT and single scoring methods. The QA server (MUFOLD-Server applying this method in CASP 10 QA category was ranked the second place in terms of Pearson and Spearman correlation performance.

  3. Quality Model Based on Cots Quality Attributes

    OpenAIRE

    Jawad Alkhateeb; Khaled Musa

    2013-01-01

    The quality of software is essential to corporations in making their commercial software. Good or poorquality to software plays an important role to some systems such as embedded systems, real-time systems,and control systems that play an important aspect in human life. Software products or commercial off theshelf software are usually programmed based on a software quality model. In the software engineeringfield, each quality model contains a set of attributes or characteristics that drives i...

  4. EQUAL Candida Score: An ECMM score derived from current guidelines to measure QUAlity of Clinical Candidaemia Management.

    Science.gov (United States)

    Mellinghoff, Sibylle C; Hoenigl, Martin; Koehler, Philipp; Kumar, Anil; Lagrou, Katrien; Lass-Flörl, Cornelia; Meis, Jacques F; Menon, Vidya; Rautemaa-Richardson, Riina; Cornely, Oliver A

    2018-01-11

    Candida species frequently cause blood stream infections and are reported to be the third to tenth most commonly isolated pathogens. Guidelines and standardised treatment algorithms provided by professional organisations aim to facilitate decision-making regarding diagnosis, management and treatment of candidaemia. In routine clinical practise, however, it may be challenging to comply with these guidelines. The reasons include lack of familiarity or feasibility to adherence, but also their length and complexity. There is no tool to measure guideline adherence currently. To provide such a tool, we reviewed the current guidelines provided by the European Society for Clinical Microbiology and Infectious Diseases (ESCMID) and by the Infectious Diseases Society of America (IDSA), and selected the strongest recommendations for management quality as the bases for our scoring tool. Factors incorporated were diagnostic (blood cultures, echocardiography, ophthalmoscopy, species identification) and follow-up procedures (repeat blood cultures until negative result) as well as key treatment parameters (echinocandin treatment, step down to fluconazole depending on susceptibility result, CVC removal). The EQUAL Candida Score weighs and aggregates factors recommended for the ideal management of candidaemia and provides a tool for antifungal stewardship as well as for measuring guideline adherence. © 2018 Blackwell Verlag GmbH.

  5. Mortality Probability Model III and Simplified Acute Physiology Score II

    Science.gov (United States)

    Vasilevskis, Eduard E.; Kuzniewicz, Michael W.; Cason, Brian A.; Lane, Rondall K.; Dean, Mitzi L.; Clay, Ted; Rennie, Deborah J.; Vittinghoff, Eric; Dudley, R. Adams

    2009-01-01

    Background: To develop and compare ICU length-of-stay (LOS) risk-adjustment models using three commonly used mortality or LOS prediction models. Methods: Between 2001 and 2004, we performed a retrospective, observational study of 11,295 ICU patients from 35 hospitals in the California Intensive Care Outcomes Project. We compared the accuracy of the following three LOS models: a recalibrated acute physiology and chronic health evaluation (APACHE) IV-LOS model; and models developed using risk factors in the mortality probability model III at zero hours (MPM0) and the simplified acute physiology score (SAPS) II mortality prediction model. We evaluated models by calculating the following: (1) grouped coefficients of determination; (2) differences between observed and predicted LOS across subgroups; and (3) intraclass correlations of observed/expected LOS ratios between models. Results: The grouped coefficients of determination were APACHE IV with coefficients recalibrated to the LOS values of the study cohort (APACHE IVrecal) [R2 = 0.422], mortality probability model III at zero hours (MPM0 III) [R2 = 0.279], and simplified acute physiology score (SAPS II) [R2 = 0.008]. For each decile of predicted ICU LOS, the mean predicted LOS vs the observed LOS was significantly different (p ≤ 0.05) for three, two, and six deciles using APACHE IVrecal, MPM0 III, and SAPS II, respectively. Plots of the predicted vs the observed LOS ratios of the hospitals revealed a threefold variation in LOS among hospitals with high model correlations. Conclusions: APACHE IV and MPM0 III were more accurate than SAPS II for the prediction of ICU LOS. APACHE IV is the most accurate and best calibrated model. Although it is less accurate, MPM0 III may be a reasonable option if the data collection burden or the treatment effect bias is a consideration. PMID:19363210

  6. Diet Quality Scores and Prediction of All-Cause, Cardiovascular and Cancer Mortality in a Pan-European Cohort Study.

    Directory of Open Access Journals (Sweden)

    Camille Lassale

    Full Text Available Scores of overall diet quality have received increasing attention in relation to disease aetiology; however, their value in risk prediction has been little examined. The objective was to assess and compare the association and predictive performance of 10 diet quality scores on 10-year risk of all-cause, CVD and cancer mortality in 451,256 healthy participants to the European Prospective Investigation into Cancer and Nutrition, followed-up for a median of 12.8y. All dietary scores studied showed significant inverse associations with all outcomes. The range of HRs (95% CI in the top vs. lowest quartile of dietary scores in a composite model including non-invasive factors (age, sex, smoking, body mass index, education, physical activity and study centre was 0.75 (0.72-0.79 to 0.88 (0.84-0.92 for all-cause, 0.76 (0.69-0.83 to 0.84 (0.76-0.92 for CVD and 0.78 (0.73-0.83 to 0.91 (0.85-0.97 for cancer mortality. Models with dietary scores alone showed low discrimination, but composite models also including age, sex and other non-invasive factors showed good discrimination and calibration, which varied little between different diet scores examined. Mean C-statistic of full models was 0.73, 0.80 and 0.71 for all-cause, CVD and cancer mortality. Dietary scores have poor predictive performance for 10-year mortality risk when used in isolation but display good predictive ability in combination with other non-invasive common risk factors.

  7. Estimating Phred scores of Illumina base calls by logistic regression and sparse modeling.

    Science.gov (United States)

    Zhang, Sheng; Wang, Bo; Wan, Lin; Li, Lei M

    2017-07-11

    Phred quality scores are essential for downstream DNA analysis such as SNP detection and DNA assembly. Thus a valid model to define them is indispensable for any base-calling software. Recently, we developed the base-caller 3Dec for Illumina sequencing platforms, which reduces base-calling errors by 44-69% compared to the existing ones. However, the model to predict its quality scores has not been fully investigated yet. In this study, we used logistic regression models to evaluate quality scores from predictive features, which include different aspects of the sequencing signals as well as local DNA contents. Sparse models were further obtained by three methods: the backward deletion with either AIC or BIC and the L 1 regularization learning method. The L 1 -regularized one was then compared with the Illumina scoring method. The L 1 -regularized logistic regression improves the empirical discrimination power by as large as 14 and 25% respectively for two kinds of preprocessed sequencing signals, compared to the Illumina scoring method. Namely, the L 1 method identifies more base calls of high fidelity. Computationally, the L 1 method can handle large dataset and is efficient enough for daily sequencing. Meanwhile, the logistic model resulted from BIC is more interpretable. The modeling suggested that the most prominent quenching pattern in the current chemistry of Illumina occurred at the dinucleotide "GT". Besides, nucleotides were more likely to be miscalled as the previous bases if the preceding ones were not "G". It suggested that the phasing effect of bases after "G" was somewhat different from those after other nucleotide types.

  8. Trained-user opinion about Welfare Quality measures and integrated scoring of dairy cattle welfare

    DEFF Research Database (Denmark)

    de Graaf, S.; Ampe, B.; Winckler, C.

    2017-01-01

    The Welfare Quality (WQ) protocol for on-farm dairy cattle welfare assessment describes 27 measures and a stepwise method for integrating values for these measures into 11 criteria scores, grouped further into 4 principle scores and finally into an overall welfare categorization with 4 levels. We...... and their ranking of the importance of all measures for herd welfare were compared with the degree of actual effect of these measures on the WQ integrated scores. Logistic regression was applied to identify the measures that affected the WQ overall welfare categorization into the “not classified” or “enhanced...... asked to allocate criterion and overall welfare scores to 7 focal herds selected from the database (n = 491 herds). Data on all WQ measures for these focal herds relative to all other herds in the database were provided. The degree to which expert scores corresponded to each other, the systematic...

  9. The Multifeature Gait Score: An accurate way to assess gait quality.

    Science.gov (United States)

    Ben Mansour, Khaireddine; Gorce, Philippe; Rezzoug, Nasser

    2017-01-01

    This study introduces a novel way to accurately assess gait quality. This new method called Multifeature Gait Score (MGS) is based on the computation of multiple parameters characterizing six aspects of gait (temporal, amplitude, variability, regularity, symmetry and complexity) quantified with one inertial sensor. According to the aspects described, parameters were aggregated into partial scores to indicate the altered aspect in the case of abnormal patterns. In order to evaluate the overall gait quality, partial scores were averaged to a global score. The MGS was computed for 3 groups namely: healthy adult (10 subjects), sedentary elderly (11 subjects) and active elderly (20 subjects). Data were gathered from an inertial sensor located at the lumbar region during two sessions of 12m walking. The results based on ANOVA and Tukey tests showed that the partial scores with the exception of those which describe the symmetry aspect were able to discriminate between groups (pelderly group (3.58 ±1.15) compared to the healthy adults (5.19 ±0.84) and active elderly (4.82 ±1.26). In addition, the intersession repeatability of the elaborated global score was excellent (ICC = 0.93, % SEM = 10.81). The results obtained support the reliability and the relevance of the MGS as a novel method to characterize gait quality.

  10. Quality of Life Score as a Predictor of Death in Dogs with Degenerative Mitral Valve Disease

    Directory of Open Access Journals (Sweden)

    Célia M. C. Strunz

    Full Text Available Abstract Background: The knowledge of the variables predicting mortality is important in clinical practice and for therapeutic monitoring in mitral valve disease. Objectives: To determine whether a quality of life score evaluated with the Functional Evaluation of Cardiac Health questionnaire would predict mortality in dogs with degenerative mitral valve disease (DMVD. Methods: Thirty-six client-owned dogs with mitral valve disease underwent clinical, laboratory, and echocardiographic evaluations at baseline and were monitored for 6 months. Cardiovascular death was the primary outcome. Results: The 36 dogs were classified as survivors or nonsurvivors. Higher values of the following variables were obtained at baseline in the nonsurviving group (12 dogs: amino-terminal pro-B-type natriuretic peptide (NT-proBNP levels, plasma norepinephrine, heart rate, quality of life score, diastolic left ventricular internal dimension to aortic root ratio, systolic left ventricular internal dimension to aortic root ratio, and left atrium to aortic root ratio. NT-proBNP levels and quality life score were independently associated with death in the multivariable analysis. Conclusion: The quality life score was an independent variable for cardiac death in dogs with DMVD. This result is encouraging, as this score is easy to apply and does not require any technology, only a veterinarian and an observant owner.

  11. Scoring predictive models using a reduced representation of proteins: model and energy definition

    Directory of Open Access Journals (Sweden)

    Corazza Alessandra

    2007-03-01

    Full Text Available Abstract Background Reduced representations of proteins have been playing a keyrole in the study of protein folding. Many such models are available, with different representation detail. Although the usefulness of many such models for structural bioinformatics applications has been demonstrated in recent years, there are few intermediate resolution models endowed with an energy model capable, for instance, of detecting native or native-like structures among decoy sets. The aim of the present work is to provide a discrete empirical potential for a reduced protein model termed here PC2CA, because it employs a PseudoCovalent structure with only 2 Centers of interactions per Amino acid, suitable for protein model quality assessment. Results All protein structures in the set top500H have been converted in reduced form. The distribution of pseudobonds, pseudoangle, pseudodihedrals and distances between centers of interactions have been converted into potentials of mean force. A suitable reference distribution has been defined for non-bonded interactions which takes into account excluded volume effects and protein finite size. The correlation between adjacent main chain pseudodihedrals has been converted in an additional energetic term which is able to account for cooperative effects in secondary structure elements. Local energy surface exploration is performed in order to increase the robustness of the energy function. Conclusion The model and the energy definition proposed have been tested on all the multiple decoys' sets in the Decoys'R'us database. The energetic model is able to recognize, for almost all sets, native-like structures (RMSD less than 2.0 Å. These results and those obtained in the blind CASP7 quality assessment experiment suggest that the model compares well with scoring potentials with finer granularity and could be useful for fast exploration of conformational space. Parameters are available at the url: http://www.dstb.uniud.it/~ffogolari/download/.

  12. Scoring predictive models using a reduced representation of proteins: model and energy definition.

    Science.gov (United States)

    Fogolari, Federico; Pieri, Lidia; Dovier, Agostino; Bortolussi, Luca; Giugliarelli, Gilberto; Corazza, Alessandra; Esposito, Gennaro; Viglino, Paolo

    2007-03-23

    Reduced representations of proteins have been playing a keyrole in the study of protein folding. Many such models are available, with different representation detail. Although the usefulness of many such models for structural bioinformatics applications has been demonstrated in recent years, there are few intermediate resolution models endowed with an energy model capable, for instance, of detecting native or native-like structures among decoy sets. The aim of the present work is to provide a discrete empirical potential for a reduced protein model termed here PC2CA, because it employs a PseudoCovalent structure with only 2 Centers of interactions per Amino acid, suitable for protein model quality assessment. All protein structures in the set top500H have been converted in reduced form. The distribution of pseudobonds, pseudoangle, pseudodihedrals and distances between centers of interactions have been converted into potentials of mean force. A suitable reference distribution has been defined for non-bonded interactions which takes into account excluded volume effects and protein finite size. The correlation between adjacent main chain pseudodihedrals has been converted in an additional energetic term which is able to account for cooperative effects in secondary structure elements. Local energy surface exploration is performed in order to increase the robustness of the energy function. The model and the energy definition proposed have been tested on all the multiple decoys' sets in the Decoys'R'us database. The energetic model is able to recognize, for almost all sets, native-like structures (RMSD less than 2.0 A). These results and those obtained in the blind CASP7 quality assessment experiment suggest that the model compares well with scoring potentials with finer granularity and could be useful for fast exploration of conformational space. Parameters are available at the url: http://www.dstb.uniud.it/~ffogolari/download/.

  13. An ART score to note objectively the quality of an ART procedure.

    Science.gov (United States)

    Labrune, Elsa; Mery, Lionel; Lornage, Jacqueline; Aknin, Isabelle; Guérin, Jean François; Benchaib, Mehdi

    2018-02-01

    To construct an ART score to evaluate an ART procedure before the result (pregnancy or not), and to provide objective data in discussions with couples in the decision to discontinue further attempts. A retrospective multicentrique study was performed. The ART score was constructed using data from the MediFirst © database used in our center. The development of the score was conducted on a sample of 507 in vitro fertilization cycles carried out between January 2011 and July 2011. Model calibration and determination of the discrimination capacity of the ART score were performed with 4463 cycles in our center and 1369 cycles from an external ART center. The ART score was validated temporally and geographically with clinical pregnancy and take home baby rate. The ART score was obtained from data from both partners and ART procedure. The ART score was segmented into four classes depending on the clinical pregnancy rate. There was a linear relationship between the ART score and clinical pregnancy rate (r = 1.0, p ART score was validated temporally and geographically. An objective ART score has been constructed and validated. It will be of help to ART teams and it is an objective tool to explain to a couple the choices for the next ART attempt. Copyright © 2017 Elsevier B.V. All rights reserved.

  14. Quality not quantity of television viewing is associated with bilingual toddlers' vocabulary scores.

    Science.gov (United States)

    Hudon, Tamara M; Fennell, Christopher T; Hoftyzer, Matthew

    2013-04-01

    Previous research examining the relationship between television viewing and vocabulary has produced mixed findings that indicate the quality of television exposure may impact language development more than quantity. However, few infant or toddler studies have included both quality and quantity measures and no study has done so with bilinguals. Caregivers of monolingual English, monolingual French, and English-French bilingual infants and toddlers from the same geographical area completed questionnaires regarding television exposure and vocabulary. Factor analysis of the questionnaire data confirmed that quantity and quality of viewing should be assessed separately. Quantity of television viewing was not correlated with language outcomes in any group. Poor quality viewing (television unintended for children, background television, solitary viewing, and earlier age of viewing) was related to lower vocabulary scores overall, but especially the English vocabulary scores of bilingual toddlers. Possible reasons for this finding are discussed. Copyright © 2013 Elsevier Inc. All rights reserved.

  15. Data from frequency-volume charts versus symptom scores and quality of life score in men with lower urinary tract symptoms due to benign prostatic hyperplasia

    NARCIS (Netherlands)

    van Venrooij, GEPM; Eckhardt, MD; Gisolf, KWH; Boon, TA

    Objective: The aim is to study the relations between reported data on frequency-volume charts and the American Urological Association (AUA) symptom scores and quality of life score. Methods: Males with lower urinary tract symptoms due to benign prostatic hyperplasia (BPH), were consecutively

  16. Sleep Duration and Sleep Quality following Acute Mild Traumatic Brain Injury: A Propensity Score Analysis

    Directory of Open Access Journals (Sweden)

    Ting-Yun Huang

    2015-01-01

    Full Text Available Introduction. Mild traumatic brain injury (mTBI has been widely studied and the effects of injury can be long term or even lifelong. This research aims to characterize the sleep problems of patients following acute mTBI. Methods. A total of 171 patients with mTBI within one month and 145 non-mTBI controls were recruited in this study. The questionnaire, Pittsburgh Sleep Quality Index (PSQI, was used to evaluate seven aspects of sleep problems. A propensity score method was used to generate a quasirandomized design to account for the background information, including gender, age, Beck’s Anxiety Index, Beck’s Depression Index, and Epworth Sleepiness Scale. The effect was evaluated via cumulative logit regression including propensity scores as a covariate. Results. Before adjustment, about 60% mTBI patients and over three quarters of control subjects had mild sleep disturbance while one third mTBI patients had moderate sleep disturbance. After adjusting by the propensity scores, the scores of sleep quality and duration were significant between mTBI and control groups. Conclusion. Our study supports that sleep problem is common in mTBI group. After adjusting the confounders by propensity score, sleep duration and subjective sleep quality are the most frequently reported problems in mTBI patients within one month after the injury.

  17. Plasma ascorbic acid, a priori diet quality score, and incident hypertension

    NARCIS (Netherlands)

    Buijsse, Brian; Jacobs, D.R.; Steffen, L.M.; Kromhout, Daan; Gross, M.D.

    2015-01-01

    Vitamin C may reduce risk of hypertension, either in itself or by marking a healthy diet pattern. We assessed whether plasma ascorbic acid and the a priori diet quality score relate to incident hypertension and whether they explain each other's predictive abilities. Data were from 2884 black and

  18. Reliability and Validity of SERVQUAL Scores Used To Evaluate Perceptions of Library Service Quality.

    Science.gov (United States)

    Thompson, Bruce; Cook, Colleen

    Research libraries are increasingly supplementing collection counts with perceptions of service quality as indices of status and productivity. The present study was undertaken to explore the reliability and validity of scores from the SERVQUAL measurement protocol (A. Parasuraman and others, 1991), which has previously been used in this type of…

  19. Quality Evaluation Scores are no more Reliable than Gestalt in Evaluating the Quality of Emergency Medicine Blogs: A METRIQ Study.

    Science.gov (United States)

    Thoma, Brent; Sebok-Syer, Stefanie S; Colmers-Gray, Isabelle; Sherbino, Jonathan; Ankel, Felix; Trueger, N Seth; Grock, Andrew; Siemens, Marshall; Paddock, Michael; Purdy, Eve; Kenneth Milne, William; Chan, Teresa M

    2018-01-30

    Construct: We investigated the quality of emergency medicine (EM) blogs as educational resources. Online medical education resources such as blogs are increasingly used by EM trainees and clinicians. However, quality evaluations of these resources using gestalt are unreliable. We investigated the reliability of two previously derived quality evaluation instruments for blogs. Sixty English-language EM websites that published clinically oriented blog posts between January 1 and February 24, 2016, were identified. A random number generator selected 10 websites, and the 2 most recent clinically oriented blog posts from each site were evaluated using gestalt, the Academic Life in Emergency Medicine (ALiEM) Approved Instructional Resources (AIR) score, and the Medical Education Translational Resources: Impact and Quality (METRIQ-8) score, by a sample of medical students, EM residents, and EM attendings. Each rater evaluated all 20 blog posts with gestalt and 15 of the 20 blog posts with the ALiEM AIR and METRIQ-8 scores. Pearson's correlations were calculated between the average scores for each metric. Single-measure intraclass correlation coefficients (ICCs) evaluated the reliability of each instrument. Our study included 121 medical students, 88 EM residents, and 100 EM attendings who completed ratings. The average gestalt rating of each blog post correlated strongly with the average scores for ALiEM AIR (r = .94) and METRIQ-8 (r = .91). Single-measure ICCs were fair for gestalt (0.37, IQR 0.25-0.56), ALiEM AIR (0.41, IQR 0.29-0.60) and METRIQ-8 (0.40, IQR 0.28-0.59). The average scores of each blog post correlated strongly with gestalt ratings. However, neither ALiEM AIR nor METRIQ-8 showed higher reliability than gestalt. Improved reliability may be possible through rater training and instrument refinement.

  20. SCORING ASSESSMENT AND FORECASTING MODELS BANKRUPTCY RISK OF COMPANIES

    Directory of Open Access Journals (Sweden)

    SUSU Stefanita

    2014-07-01

    Full Text Available Bankruptcy risk made the subject of many research studies that aim at identifying the time of the bankruptcy, the factors that compete to achieve this state, the indicators that best express this orientation (the bankruptcy. The threats to enterprises require the managers knowledge of continually economic and financial situations, and vulnerable areas with development potential. Managers need to identify and properly manage the threats that would prevent achieving the targets. In terms of methods known in the literature of assessment and evaluation of bankruptcy risk they are static, functional, strategic, and scoring nonfinancial models. This article addresses Altman and Conan-Holder-known internationally as the model developed at national level by two teachers from prestigious universities in our country-the Robu-Mironiuc model. Those models are applied to data released by the profit and loss account and balance sheet Turism Covasna company over which bankruptcy risk analysis is performed. The results of the analysis are interpreted while trying to formulate solutions to the economic and financial viability of the entity.

  1. A Novel Scoring Metrics for Quality Assurance of Ocean Color Observations

    Science.gov (United States)

    Wei, J.; Lee, Z.

    2016-02-01

    Interpretation of the ocean bio-optical properties from ocean color observations depends on the quality of the ocean color data, specifically the spectrum of remote sensing reflectance (Rrs). The in situ and remotely measured Rrs spectra are inevitably subject to errors induced by instrument calibration, sea-surface correction and atmospheric correction, and other environmental factors. Great efforts have been devoted to the ocean color calibration and validation. Yet, there exist no objective and consensus criteria for assessment of the ocean color data quality. In this study, the gap is filled by developing a novel metrics for such data quality assurance and quality control (QA/QC). This new QA metrics is not intended to discard "suspicious" Rrs spectra from available datasets. Rather, it takes into account the Rrs spectral shapes and amplitudes as a whole and grades each Rrs spectrum. This scoring system is developed based on a large ensemble of in situ hyperspectral remote sensing reflectance data measured from various aquatic environments and processed with robust procedures. This system is further tested with the NASA bio-Optical Marine Algorithm Data set (NOMAD), with results indicating significant improvements in the estimation of bio-optical properties when Rrs spectra marked with higher quality assurance are used. This scoring system is further verified with simulated data and satellite ocean color data in various regions, and we envision higher quality ocean color products with the implementation of such a quality screening system.

  2. The performance quality rating scale (PQRS): reliability, convergent validity, and internal responsiveness for two scoring systems.

    Science.gov (United States)

    Martini, Rose; Rios, Jorge; Polatajko, Helene; Wolf, Timothy; McEwen, Sara

    2015-01-01

    The performance quality rating scale (PQRS) is an observational measure of performance quality of client-selected, personally meaningful activities. It has been used inconsistently with different scoring systems, and there have been no formal publications on its psychometric properties. The purpose of this study was to test and compare the psychometric properties of two PQRS scoring systems in two populations. A secondary analysis of video recorded participant-selected activities from previous studies involving either adults living with stroke or children diagnosed with developmental coordination disorder (DCD) was conducted. Three pairs of raters scored the video recorded performances with PQRS operational definitions (PQRS-OD) and a generic rating system (PQRS-G). For inter-rater reliability, PQRS-OD ICCs were substantial, ranging from 0.83 to 0.93; while the PQRS-G ICCs were moderate, ranging from 0.71 to 0.77. Test-retest reliability was substantial, >0.80 (ICC), for both rating systems across all rater pairs. Internal responsiveness was high for both rating systems. Convergent validity with the Canadian Occupational Performance Measure (COPM) was inconsistent, with scores ranging from low to moderate. Both scoring systems have demonstrated they are reliable and have good internal responsiveness. The PQRS-OD demonstrated greater consistency across raters and is more sensitive to clinically important change than the PQRS-G and should be used when greater accuracy is required. Further exploration of validity with actual rather than perceived performance measures is required.

  3. Meta-server for automatic analysis, scoring and ranking of docking models.

    Science.gov (United States)

    Anashkina, Anastasia A; Kravatsky, Yuri; Kuznetsov, Eugene; Makarov, Alexander A; Adzhubei, Alexei A

    2017-09-18

    Modelling with multiple servers that use different algorithms for docking results in more reliable predictions of interaction sites. However, the scoring and comparison of all models by an expert is time-consuming and is not feasible for large volumes of data generated by such modelling. QASDOM Server (Quality ASsessment of DOcking Models) is a simple and efficient tool for real-time simultaneous analysis, scoring and ranking of datasets of receptor-ligand complexes built by a range of docking techniques. This meta-server is designed to analyse large datasets of docking models and rank them by scoring criteria developed in this study. It produces two types of output showing the likelihood of specific residues and clusters of residues to be involved in receptor-ligand interactions, and the ranking of models. The server also allows visualising residues that form interaction sites in the receptor and ligand sequence, and displays three-dimensional model structures of the receptor-ligand complexes. http://qasdom.eimb.ru. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

  4. Age-related differences in quality of standing balance using a composite score.

    Science.gov (United States)

    Pasma, Jantsje H; Bijlsma, Astrid Y; van der Bij, Mark D W; Arendzen, J Hans; Meskers, Carel G M; Maier, Andrea B

    2014-01-01

    Age-related differences in standing balance are not detected by testing the ability to maintain balance. Quality of standing balance might be more sensitive to detect age-related differences. To study age-related differences in quality of standing balance, center of pressure (CoP) movement was evaluated using a wide range of CoP parameters in several standing conditions in healthy young and old participants. In 35 healthy young (18-30 years) and 75 healthy old (70-80 years) participants, CoP movement was assessed in eight standing conditions on a force plate, including side-by-side, one-leg, semi-tandem and tandem stance, both with eyes open and eyes closed. Direction-specific CoP composite scores were calculated from standardized single CoP parameters (mean amplitude, amplitude variability, mean velocity, velocity variability and range) in anterior-posterior (AP) and medial-lateral (ML) direction. Linear regression analysis was used to detect age-related differences in single CoP parameters and composite scores - adjusted for gender, height and weight. Overall, single CoP parameters were higher in old compared to young participants, but no single CoP parameter consistently demonstrated the largest effect size for all standing conditions. Age-related differences were demonstrated for CoP composite scores in AP direction (tandem eyes open; semi-tandem eyes closed; p CoP composite scores in ML direction were consistently higher for all standing conditions in old compared to young participants (p CoP composite scores in ML direction were the most consistent parameters to detect age-related differences in quality of standing balance in healthy participants and might be of clinical value to detect subtle changes in quality of standing balance. © 2014 S. Karger AG, Basel

  5. Rating the methodological quality in systematic reviews of studies on measurement properties: a scoring system for the COSMIN checklist.

    Science.gov (United States)

    Terwee, Caroline B; Mokkink, Lidwine B; Knol, Dirk L; Ostelo, Raymond W J G; Bouter, Lex M; de Vet, Henrica C W

    2012-05-01

    The COSMIN checklist is a standardized tool for assessing the methodological quality of studies on measurement properties. It contains 9 boxes, each dealing with one measurement property, with 5-18 items per box about design aspects and statistical methods. Our aim was to develop a scoring system for the COSMIN checklist to calculate quality scores per measurement property when using the checklist in systematic reviews of measurement properties. The scoring system was developed based on discussions among experts and testing of the scoring system on 46 articles from a systematic review. Four response options were defined for each COSMIN item (excellent, good, fair, and poor). A quality score per measurement property is obtained by taking the lowest rating of any item in a box ("worst score counts"). Specific criteria for excellent, good, fair, and poor quality for each COSMIN item are described. In defining the criteria, the "worst score counts" algorithm was taken into consideration. This means that only fatal flaws were defined as poor quality. The scores of the 46 articles show how the scoring system can be used to provide an overview of the methodological quality of studies included in a systematic review of measurement properties. Based on experience in testing this scoring system on 46 articles, the COSMIN checklist with the proposed scoring system seems to be a useful tool for assessing the methodological quality of studies included in systematic reviews of measurement properties.

  6. [Assessment of protein quality in foods by calculating the amino acids score corrected by digestibility].

    Science.gov (United States)

    Suárez López, M M; Kizlansky, A; López, L B

    2006-01-01

    The protein score reflects its amino acids (AA) content in comparison with the ideal protein. However, when there is a need to know the use of AA by the organism it is necessary to do a correction of the score value by protein digestibility (PDCAAS). Since this information is not available for usually consumed foods, the present work aimed at calculating the PDCAAS values of these foods. The score was calculated the limiting AA of 70 foods, taking as reference protein the AA pattern for children > 1 year old and adults proposed by the U.S. National Academy of Sciences for the year 2002. The PDCAAS value was obtained in each case by multiplying the score value by the digestibility index. For vegetable foods the obtained score values and PDCAAS were, respectively: vegetables 88.5% / 73.4%, tubercles 89.44% / 74.24%, fresh fruits 75.6% / 64.3%, dried fruits 65.6% / 48.1%, legumes in general 89.2% / 69.58%, chickpea and soybean 100% / 78%, cereals and derivatives 68.8% / 58.5%. Creation of table that contents the score values, digestibility values, and PDCAAS of foods is a useful tool when food selection for a dietary plan based on its protein quality is desirable.

  7. Quality of life scores improve in women undergoing colpocleisis: a pilot study.

    Science.gov (United States)

    Yeniel, A Özgür; Ergenoglu, A Mete; Askar, Niyazi; Itil, İsmail Mete; Meseri, Reci

    2012-08-01

    To evaluate the quality of life and surgical outcomes in women who had undergone colpocleisis. This was a prospective small cohort study conducted between August 2010 and September 2011. Twelve women with pelvic organ prolapse were offered obliterative vaginal surgery and were informed about the surgical procedure. Ten women accepted this operation and were included in the study. Before and after colpocleisis, cases were evaluated by urogynecological examination, and quality of life was assessed by the Turkish language validated prolapse quality of life questionnaire (P-QOL), in which a low total score indicates a good quality of life. The mean age was 74.9±4.5 (range 68-85). The general score of the P-QOL was reduced during the follow-up period, reflecting a significant effect on quality of life and clinical improvement in women with the colpocleisis operation. There was no morbidity due to colpocleisis or recurrent pelvic organ prolapse in follow-up period. In our small cohort including elderly women, colpocleisis provided high levels of surgical outcomes as well as a significant improvement in quality of life without significant morbidity. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  8. Diet-Quality Scores and Prevalence of Nonalcoholic Fatty Liver Disease: A Population Study Using Proton-Magnetic Resonance Spectroscopy.

    Directory of Open Access Journals (Sweden)

    Ruth Chan

    Full Text Available Dietary pattern analysis is an alternative approach to examine the association between diet and nonalcoholic fatty liver disease (NAFLD. This study examined the association of two diet-quality scores, namely Diet Quality Index-International (DQI-I and Mediterranean Diet Score (MDS with NAFLD prevalence. Apparently healthy Chinese adults (332 male, 465 female aged 18 years or above were recruited through a population screening between 2008 and 2010 in a cross-sectional population-based study in Hong Kong. DQI-I and MDS, as well as major food group and nutrient intakes were calculated based on dietary data from a food frequency questionnaire. NAFLD was defined as intrahepatic triglyceride content at ≥5% by proton-magnetic resonance spectroscopy. Multivariate logistic regression models were used to examine the association between each diet-quality score or dietary component and prevalent NAFLD with adjustment for potential lifestyle, metabolic and genetic factors. A total of 220 subjects (27.6% were diagnosed with NAFLD. DQI-I but not MDS was associated with the prevalence of NAFLD. A 10-unit decrease in DQI-I was associated with 24% increase in the likelihood of having NAFLD in the age and sex adjusted model (95% CI: 1.06-1.45, p = 0.009, and the association remained significant when the model was further adjusted for other lifestyle factors, metabolic and genetic factors [OR: 1.26 (95% CI: 1.03-1.54, p = 0.027]. Multivariate regression analyses showed an inverse association of the intake of vegetables and legumes, fruits and dried fruits, as well as vitamin C with the NAFLD prevalence (p<0.05. In conclusion, a better diet quality as characterized by a higher DQI-I and a higher consumption of vegetables, legumes and fruits was associated with a reduced likelihood of having NAFLD in Hong Kong Chinese.

  9. Highlighting ethical decisions underlying the scoring of animal welfare in the Welfare Quality® scheme

    DEFF Research Database (Denmark)

    Veissier, I.; Jensen, Karsten Klint; Botreau, R.

    2011-01-01

    ), and any welfare scoring system will reflect a focus upon one or other definition. In Welfare Quality® 12 welfare criteria were defined, and the entire list of criteria was intended to cover relevant definitions of animal welfare. Second, two dimensions can structure an overall evaluation of animal welfare......, but the rules governing the assignment of an animal unit to a category take into account what had been observed on European farms. The scientists behind Welfare Quality® are keen to make the value-based choices underlying assessments of animal welfare transparent. This is essential to allow stakeholder groups...

  10. Untrained consumer assessment of the eating quality of European beef: 2. Demographic factors have only minor effects on consumer scores and willingness to pay.

    Science.gov (United States)

    Bonny, S P F; Gardner, G E; Pethick, D W; Allen, P; Legrand, I; Wierzbicki, J; Farmer, L J; Polkinghorne, R J; Hocquette, J-F

    2017-08-01

    The beef industry must become more responsive to the changing market place and consumer demands. An essential part of this is quantifying a consumer's perception of the eating quality of beef and their willingness to pay for that quality, across a broad range of demographics. Over 19 000 consumers from Northern Ireland, Poland, Ireland and France each tasted seven beef samples and scored them for tenderness, juiciness, flavour liking and overall liking. These scores were weighted and combined to create a fifth score, termed the Meat Quality 4 score (MQ4) (0.3×tenderness, 0.1×juiciness, 0.3×flavour liking and 0.3×overall liking). They also allocated the beef samples into one of four quality grades that best described the sample; unsatisfactory, good-every-day, better-than-every-day or premium. After the completion of the tasting panel, consumers were then asked to detail, in their own currency, their willingness to pay for these four categories which was subsequently converted to a proportion relative to the good-every-day category (P-WTP). Consumers also answered a short demographic questionnaire. The four sensory scores, the MQ4 score and the P-WTP were analysed separately, as dependant variables in linear mixed effects models. The answers from the demographic questionnaire were included in the model as fixed effects. Overall, there were only small differences in consumer scores and P-WTP between demographic groups. Consumers who preferred their beef cooked medium or well-done scored beef higher, except in Poland, where the opposite trend was found. This may be because Polish consumers were more likely to prefer their beef cooked well-done, but samples were cooked medium for this group. There was a small positive relationship with the importance of beef in the diet, increasing sensory scores by about 4% in Poland and Northern Ireland. Men also scored beef about 2% higher than women for most sensory scores in most countries. In most countries, consumers were

  11. Diet-Quality Scores and the Risk of Type 2 Diabetes in Men

    OpenAIRE

    de Koning, Lawrence; Chiuve, Stephanie E.; Fung, Teresa T.; Willett, Walter C.; Rimm, Eric B.; Hu, Frank B.

    2011-01-01

    Objective: To 1) compare associations of diet-quality scores, which were inversely associated with cardiovascular disease, with incident type 2 diabetes and 2) test for differences in absolute-risk reduction across various strata. Research Design and Methods: Men from the Health Professionals Follow-Up Study, who were initially free of type 2 diabetes, cardiovascular disease, or cancer (n = 41,615), were followed for \\(\\leq 20\\) years. The Healthy Eating Index (HEI) 2005, the alternative HEI ...

  12. Using quality scores and longer reads improves accuracy of Solexa read mapping

    Directory of Open Access Journals (Sweden)

    Xuan Zhenyu

    2008-02-01

    Full Text Available Abstract Background Second-generation sequencing has the potential to revolutionize genomics and impact all areas of biomedical science. New technologies will make re-sequencing widely available for such applications as identifying genome variations or interrogating the oligonucleotide content of a large sample (e.g. ChIP-sequencing. The increase in speed, sensitivity and availability of sequencing technology brings demand for advances in computational technology to perform associated analysis tasks. The Solexa/Illumina 1G sequencer can produce tens of millions of reads, ranging in length from ~25–50 nt, in a single experiment. Accurately mapping the reads back to a reference genome is a critical task in almost all applications. Two sources of information that are often ignored when mapping reads from the Solexa technology are the 3' ends of longer reads, which contain a much higher frequency of sequencing errors, and the base-call quality scores. Results To investigate whether these sources of information can be used to improve accuracy when mapping reads, we developed the RMAP tool, which can map reads having a wide range of lengths and allows base-call quality scores to determine which positions in each read are more important when mapping. We applied RMAP to analyze data re-sequenced from two human BAC regions for varying read lengths, and varying criteria for use of quality scores. RMAP is freely available for downloading at http://rulai.cshl.edu/rmap/. Conclusion Our results indicate that significant gains in Solexa read mapping performance can be achieved by considering the information in 3' ends of longer reads, and appropriately using the base-call quality scores. The RMAP tool we have developed will enable researchers to effectively exploit this information in targeted re-sequencing projects.

  13. Quality of Life Score as a Predictor of Death in Dogs with Degenerative Mitral Valve Disease

    OpenAIRE

    Strunz, C?lia M. C.; Marcondes-Santos, M?rio; Takada, Julio Yoshio; Fragata, Fernanda S.; Mansur, Ant?nio de P?dua

    2017-01-01

    Abstract Background: The knowledge of the variables predicting mortality is important in clinical practice and for therapeutic monitoring in mitral valve disease. Objectives: To determine whether a quality of life score evaluated with the Functional Evaluation of Cardiac Health questionnaire would predict mortality in dogs with degenerative mitral valve disease (DMVD). Methods: Thirty-six client-owned dogs with mitral valve disease underwent clinical, laboratory, and echocardiographic eval...

  14. Longitudinal Prediction of Quality-of-Life Scores and Locomotion in Individuals With Traumatic Spinal Cord Injury.

    Science.gov (United States)

    Hiremath, Shivayogi V; Hogaboom, Nathan S; Roscher, Melissa R; Worobey, Lynn A; Oyster, Michelle L; Boninger, Michael L

    2017-12-01

    To examine (1) differences in quality-of-life scores for groups based on transitions in locomotion status at 1, 5, and 10 years postdischarge in a sample of people with spinal cord injury (SCI); and (2) whether demographic factors and transitions in locomotion status can predict quality-of-life measures at these time points. Retrospective case study of the National SCI Database. Model SCI Systems Centers. Individuals with SCI (N=10,190) from 21 SCI Model Systems Centers, identified through the National SCI Model Systems Centers database between the years 1985 and 2012. Subjects had FIM (locomotion mode) data at discharge and at least 1 of the following: 1, 5, or 10 years postdischarge. Not applicable. FIM-locomotion mode; Severity of Depression Scale; Satisfaction With Life Scale; and Craig Handicap Assessment and Reporting Technique. Participants who transitioned from ambulation to wheelchair use reported lower participation and life satisfaction, and higher depression levels (P.05) or life satisfaction (P>.05) compared with those who transitioned from wheelchair to ambulation. Demographic factors and locomotion transitions predicted quality-of-life scores at all time points (P<.05). The results of this study indicate that transitioning from ambulation to wheelchair use can negatively impact psychosocial health 10 years after SCI. Clinicians should be aware of this when deciding on ambulation training. Further work to characterize who may be at risk for these transitions is needed. Copyright © 2017 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

  15. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

    NARCIS (Netherlands)

    Vilhjálmsson, Bjarni J.; Yang, Jian; Finucane, Hilary K.; Gusev, Alexander; Lindström, Sara; Ripke, Stephan; Genovese, Giulio; Loh, Po-Ru; Bhatia, Gaurav; Do, Ron; Hayeck, Tristan; Won, Hong-Hee; Kathiresan, Sekar; Pato, Michele; Pato, Carlos; Tamimi, Rulla; Stahl, Eli; Zaitlen, Noah; Pasaniuc, Bogdan; Belbin, Gillian; Kenny, Eimear E.; Schierup, Mikkel H.; de Jager, Philip; Patsopoulos, Nikolaos A.; McCarroll, Steve; Daly, Mark; Purcell, Shaun; Chasman, Daniel; Neale, Benjamin; Goddard, Michael; Visscher, Peter M.; Kraft, Peter; Patterson, Nick; Price, Alkes L.; Neale, Benjamin M.; Corvin, Aiden; Walters, James T. R.; Farh, Kai-How; Holmans, Peter A.; Lee, Phil; Bulik-Sullivan, Brendan; Collier, David A.; Huang, Hailiang; Pers, Tune H.; Agartz, Ingrid; Agerbo, Esben; Albus, Margot; Alexander, Madeline; Amin, Farooq; Bacanu, Silviu A.; Begemann, Martin; Belliveau, Richard A.; Bene, Judit; Bergen, Sarah E.; Bevilacqua, Elizabeth; Bigdeli, Tim B.; Black, Donald W.; Bruggeman, Richard; Buccola, Nancy G.; Buckner, Randy L.; Byerley, William; Cahn, Wiepke; Cai, Guiqing; Campion, Dominique; Cantor, Rita M.; Carr, Vaughan J.; Carrera, Noa; Catts, Stanley V.; Chambert, Kimberly D.; Chan, Raymond C. K.; Chen, Ronald Y. L.; Chen, Eric Y. H.; Cheng, Wei; Cheung, Eric F. C.; Chong, Siow Ann; Cloninger, C. Robert; Cohen, David; Cohen, Nadine; Cormican, Paul; Craddock, Nick; Crowley, James J.; Curtis, David; Davidson, Michael; Davis, Kenneth L.; Degenhardt, Franziska; del Favero, Jurgen; DeLisi, Lynn E.; Demontis, Ditte; Dikeos, Dimitris; Dinan, Timothy; Djurovic, Srdjan; Donohoe, Gary; Drapeau, Elodie; Duan, Jubao; Dudbridge, Frank; Durmishi, Naser; Eichhammer, Peter; Eriksson, Johan; Escott-Price, Valentina; Essioux, Laurent; Fanous, Ayman H.; Farrell, Martilias S.; Frank, Josef; Franke, Lude; Freedman, Robert; Freimer, Nelson B.; Friedl, Marion; Friedman, Joseph I.; Fromer, Menachem; Georgieva, Lyudmila; Gershon, Elliot S.; Giegling, Ina; Giusti-Rodrguez, Paola; Godard, Stephanie; Goldstein, Jacqueline I.; Golimbet, Vera; Gopal, Srihari; Gratten, Jacob; Grove, Jakob; de Haan, Lieuwe; Hammer, Christian; Hamshere, Marian L.; Hansen, Mark; Hansen, Thomas; Haroutunian, Vahram; Hartmann, Annette M.; Henskens, Frans A.; Herms, Stefan; Hirschhorn, Joel N.; Hoffmann, Per; Hofman, Andrea; Hollegaard, Mads V.; Hougaard, David M.; Ikeda, Masashi; Joa, Inge; Julia, Antonio; Kahn, Rene S.; Kalaydjieva, Luba; Karachanak-Yankova, Sena; Karjalainen, Juha; Kavanagh, David; Keller, Matthew C.; Kelly, Brian J.; Kennedy, James L.; Khrunin, Andrey; Kim, Yunjung; Klovins, Janis; Knowles, James A.; Konte, Bettina; Kucinskas, Vaidutis; Kucinskiene, Zita Ausrele; Kuzelova-Ptackova, Hana; Kahler, Anna K.; Laurent, Claudine; Keong, Jimmy Lee Chee; Lee, S. Hong; Legge, Sophie E.; Lerer, Bernard; Li, Miaoxin; Li, Tao; Liang, Kung-Yee; Lieberman, Jeffrey; Limborska, Svetlana; Loughland, Carmel M.; Lubinski, Jan; Lnnqvist, Jouko; Macek, Milan; Magnusson, Patrik K. E.; Maher, Brion S.; Maier, Wolfgang; Mallet, Jacques; Marsal, Sara; Mattheisen, Manuel; Mattingsdal, Morten; McCarley, Robert W.; McDonald, Colm; McIntosh, Andrew M.; Meier, Sandra; Meijer, Carin J.; Melegh, Bela; Melle, Ingrid; Mesholam-Gately, Raquelle I.; Metspalu, Andres; Michie, Patricia T.; Milani, Lili; Milanova, Vihra; Mokrab, Younes; Morris, Derek W.; Mors, Ole; Mortensen, Preben B.; Murphy, Kieran C.; Murray, Robin M.; Myin-Germeys, Inez; Mller-Myhsok, Bertram; Nelis, Mari; Nenadic, Igor; Nertney, Deborah A.; Nestadt, Gerald; Nicodemus, Kristin K.; Nikitina-Zake, Liene; Nisenbaum, Laura; Nordin, Annelie; O'Callaghan, Eadbhard; O'Dushlaine, Colm; O'Neill, F. Anthony; Oh, Sang-Yun; Olincy, Ann; Olsen, Line; van Os, Jim; Pantelis, Christos; Papadimitriou, George N.; Papiol, Sergi; Parkhomenko, Elena; Pato, Michele T.; Paunio, Tiina; Pejovic-Milovancevic, Milica; Perkins, Diana O.; Pietilinen, Olli; Pimm, Jonathan; Pocklington, Andrew J.; Powell, John; Price, Alkes; Pulver, Ann E.; Purcell, Shaun M.; Quested, Digby; Rasmussen, Henrik B.; Reichenberg, Abraham; Reimers, Mark A.; Richards, Alexander L.; Roffman, Joshua L.; Roussos, Panos; Ruderfer, Douglas M.; Salomaa, Veikko; Sanders, Alan R.; Schall, Ulrich; Schubert, Christian R.; Schulze, Thomas G.; Schwab, Sibylle G.; Scolnick, Edward M.; Scott, Rodney J.; Seidman, Larry J.; Shi, Jianxin; Sigurdsson, Engilbert; Silagadze, Teimuraz; Silverman, Jeremy M.; Sim, Kang; Slominsky, Petr; Smoller, Jordan W.; So, Hon-Cheong; Spencer, Chris C. A.; Stahl, Eli A.; Stefansson, Hreinn; Steinberg, Stacy; Stogmann, Elisabeth; Straub, Richard E.; Strengman, Eric; Strohmaier, Jana; Stroup, T. Scott; Subramaniam, Mythily; Suvisaari, Jaana; Svrakic, Dragan M.; Szatkiewicz, Jin P.; Sderman, Erik; Thirumalai, Srinivas; Toncheva, Draga; Tooney, Paul A.; Tosato, Sarah; Veijola, Juha; Waddington, John; Walsh, Dermot; Wang, Dai; Wang, Qiang; Webb, Bradley T.; Weiser, Mark; Wildenauer, Dieter B.; Williams, Nigel M.; Williams, Stephanie; Witt, Stephanie H.; Wolen, Aaron R.; Wong, Emily H. M.; Wormley, Brandon K.; Wu, Jing Qin; Xi, Hualin Simon; Zai, Clement C.; Zheng, Xuebin; Zimprich, Fritz; Wray, Naomi R.; Stefansson, Kari; Adolfsson, Rolf; Andreassen, Ole A.; Blackwood, Douglas H. R.; Bramon, Elvira; Buxbaum, Joseph D.; Børglum, Anders D.; Cichon, Sven; Darvasi, Ariel; Domenici, Enrico; Ehrenreich, Hannelore; Esko, Tonu; Gejman, Pablo V.; Gill, Michael; Gurling, Hugh; Hultman, Christina M.; Iwata, Nakao; Jablensky, Assen V.; Jonsson, Erik G.; Kendler, Kenneth S.; Kirov, George; Knight, Jo; Lencz, Todd; Levinson, Douglas F.; Li, Qingqin S.; Liu, Jianjun; Malhotra, Anil K.; McCarroll, Steven A.; McQuillin, Andrew; Moran, Jennifer L.; Mowry, Bryan J.; Nthen, Markus M.; Ophoff, Roel A.; Owen, Michael J.; Palotie, Aarno; Pato, Carlos N.; Petryshen, Tracey L.; Posthuma, Danielle; Rietschel, Marcella; Riley, Brien P.; Rujescu, Dan; Sham, Pak C.; Sklar, Pamela; St Clair, David; Weinberger, Daniel R.; Wendland, Jens R.; Werge, Thomas; Daly, Mark J.; Sullivan, Patrick F.; O'Donovan, Michael C.; Hunter, David J.; Adank, Muriel; Ahsan, Habibul; Aittomäki, Kristiina; Baglietto, Laura; Berndt, Sonja; Blomquist, Carl; Canzian, Federico; Chang-Claude, Jenny; Chanock, Stephen J.; Crisponi, Laura; Czene, Kamila; Dahmen, Norbert; Silva, Isabel Dos Santos; Easton, Douglas; Eliassen, A. Heather; Figueroa, Jonine; Fletcher, Olivia; Garcia-Closas, Montserrat; Gaudet, Mia M.; Gibson, Lorna; Haiman, Christopher A.; Hall, Per; Hazra, Aditi; Hein, Rebecca; Henderson, Brian E.; Hofman, Albert; Hopper, John L.; Irwanto, Astrid; Johansson, Mattias; Kaaks, Rudolf; Kibriya, Muhammad G.; Lichtner, Peter; Lund, Eiliv; Makalic, Enes; Meindl, Alfons; Meijers-Heijboer, Hanne; Müller-Myhsok, Bertram; Muranen, Taru A.; Nevanlinna, Heli; Peeters, Petra H.; Peto, Julian; Prentice, Ross L.; Rahman, Nazneen; Sánchez, María José; Schmidt, Daniel F.; Schmutzler, Rita K.; Southey, Melissa C.; Travis, Ruth; Turnbull, Clare; Uitterlinden, Andre G.; van der Luijt, Rob B.; Waisfisz, Quinten; Wang, Zhaoming; Whittemore, Alice S.; Yang, Rose; Zheng, Wei

    2015-01-01

    Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to

  16. Depression, anxiety and quality of life scores in seniors after an endurance exercise program

    Directory of Open Access Journals (Sweden)

    Antunes Hanna Karen Moreira

    2005-01-01

    Full Text Available OBJECTIVE: Mood disorders are a frequent problem in old age, and their symptoms constitute an important public health issue. These alterations affect the quality of life mainly by restricting social life. The participation in a regular exercise program is an effective way of reducing or preventing the functional decline associated with aging. The aim of the present study was to examine the effects of fitness-endurance activity (at the intensity of Ventilatory Threshold 1 (VT-1 in depression, anxiety and quality of life scores in seniors. METHODS: The study involved 46 sedentary seniors aged 60-75 (66.97 ± 4.80 who were randomly allocated to two groups: 1 Control group, which was neither asked to vary their everyday activities nor to join a regular physical fitness program; and 2 Experimental group, whose members took part in an aerobic fitness program consisting of ergometer cycle sessions 3 times a week on alternate days for six months working at a heart rate corresponding to ventilatory threshold (VT-1 intensity. Subjects were submitted to a basal evaluation using the geriatric depression screening scale - GDS, STAI trait/state (anxiety scale and SF-36 (quality of life scale. RESULTS: Comparing the groups after the study period, we found a significant decrease in depressive and anxiety scores and an improvement in the quality of life in the experimental group, but no significant changes in the control group. CONCLUSION: The data suggest that an aerobic exercise program at VT-1 intensity suffices to promote favorable modifications in depressive and anxiety scores to improve the quality of life in seniors.

  17. A Prototype Public Speaking Skills Assessment: An Evaluation of Human-Scoring Quality. Research Report. ETS RR-15-36

    Science.gov (United States)

    Joe, Jilliam; Kitchen, Christopher; Chen, Lei; Feng, Gary

    2015-01-01

    The purpose of this paper is to summarize the evaluation of human-scoring quality for an assessment of public speaking skills. Videotaped performances given by 17 speakers on 4 tasks were scored by expert and nonexpert raters who had extensive experience scoring performance-based and constructed-response assessments. The Public Speaking Competence…

  18. Quality-of-life scores compared to objective measures of swallowing after oropharyngeal chemoradiation.

    Science.gov (United States)

    Kendall, Katherine A; Kosek, Steven R; Tanner, Kristine

    2014-03-01

    To compare objective measures of swallowing function with patient reports of swallowing-related quality of life 1 year after treatment of oropharyngeal cancer with chemoradiation therapy. Patients seen for follow-up at least 1 year after treatment of oropharyngeal carcinoma with chemoradiation therapy were sequentially approached and asked to participate in the study. Maximum pharyngeal constriction, hyoid elevation, upper esophageal sphincter opening size, and bolus pharyngeal transit time were measured from modified barium swallowing studies in a group of 31 patients at least 1 year after chemoradiation therapy for the treatment of oropharyngeal carcinoma. Measures were made for a liquid 1-mL, 3-mL, and 20-mL bolus. Objective measure results were compared to scores from the MD Anderson Dysphagia Inventory and The University of Washington Swallowing Quality of Life Questionnaire results from the same patients. No strong correlation was identified between any of the objective measures of swallowing physiology and quality-of-life scores. Patient perception of the impact of swallowing function on quality of life does not correlate well with actual physiologic functioning. © 2013 The American Laryngological, Rhinological and Otological Society, Inc.

  19. Scores Assigned by Inexpert EFL Raters to Different Quality EFL Compositions, and the Raters' Decision-Making Behaviors

    Science.gov (United States)

    Han, Turgay

    2017-01-01

    The aim of this study is to examine the variability in and reliability of scores assigned to different quality EFL compositions by EFL instructors and their rating behaviors. Using a mixed research design, quantitative data were collected from EFL instructors' ratings of 30 compositions of three different qualities using a holistic scoring rubric.…

  20. Quality-of-life scores in laparoscopic preperitoneal inguinal hernia repair.

    Science.gov (United States)

    Wennergren, John E; Plymale, Margaret; Davenport, Daniel; Levy, Salomon; Hazey, Jeffrey; Perry, Kyle A; Stigall, Kyle; Roth, J Scott

    2016-08-01

    Published support exists for using lightweight polypropylene mesh (PPM) to repair inguinal hernias with increased biocompatibility and decreased foreign body reaction and pain. However, quality of life (QOL) has not been assessed. We assess QOL in patients undergoing laparoscopic totally extraperitoneal hernia repair (TEP) with lightweight PPM. We performed an IRB-approved study of patients undergoing TEP hernia repair. Demographic information and hernia characteristics were collected perioperatively. Baseline Short Form-36 (SF-36), Carolinas Comfort Scale (CCS), and visual analog scale (VAS) for pain were performed preoperatively, and then after 1, 26, and 52 weeks. Forty-eight patients undergoing TEP with mesh were selected. Average age was 43.2 years (SD = 13.2), and average BMI was 26.1 kg/m(2) (SD = 4.3). Procedures include bilateral hernia, right inguinal hernia, and left inguinal hernia repairs. Mean scores on the CCS(®) and VAS were low during the immediate post-op period and 1 year. SF-36 mean scores for body pain, physical function, and role physical showed decreases at the postoperative survey and then subsequent increases. Pain-associated scores increased during the immediate post-op period. CCS and SF-36 scores demonstrated improvement after 1 year. There was no significant difference in VAS. Bilateral repair patients reported more pain and reduced physical function versus unilateral repairs. Patients with larger mesh reported greater pain scores and reduced physical function scores. Laparoscopic inguinal hernia repair is associated with initial declines in QOL in the postoperative period. Improvements appear in the long term. General health does not appear to be impacted by laparoscopic TEP. Smaller mesh and unilateral repairs are associated with improved QOL following laparoscopic TEP with PPM. Multiple metrics for QOL are required to reflect patient recovery.

  1. Exploring Vital Sign Data Quality in Electronic Health Records with Focus on Emergency Care Warning Scores.

    Science.gov (United States)

    Skyttberg, Niclas; Chen, Rong; Blomqvist, Hans; Koch, Sabine

    2017-08-30

    Computerized clinical decision support and automation of warnings have been advocated to assist clinicians in detecting patients at risk of physiological instability. To provide reliable support such systems are dependent on high-quality vital sign data. Data quality depends on how, when and why the data is captured and/or documented. This study aims to describe the effects on data quality of vital signs by three different types of documentation practices in five Swedish emergency hospitals, and to assess data fitness for calculating warning and triage scores. The study also provides reference data on triage vital signs in Swedish emergency care. We extracted a dataset including vital signs, demographic and administrative data from emergency care visits (n=335027) at five Swedish emergency hospitals during 2013 using either completely paper-based, completely electronic or mixed documentation practices. Descriptive statistics were used to assess fitness for use in emergency care decision support systems aiming to calculate warning and triage scores, and data quality was described in three categories: currency, completeness and correctness. To estimate correctness, two further categories - plausibility and concordance - were used. The study showed an acceptable correctness of the registered vital signs irrespectively of the type of documentation practice. Completeness was high in sites where registrations were routinely entered into the Electronic Health Record (EHR). The currency was only acceptable in sites with a completely electronic documentation practice. Although vital signs that were recorded in completely electronic documentation practices showed plausible results regarding correctness, completeness and currency, the study concludes that vital signs documented in Swedish emergency care EHRs cannot generally be considered fit for use for calculation of triage and warning scores. Low completeness and currency were found if the documentation was not completely

  2. Highlighting ethical decisions underlying the scoring of animal welfare in the Welfare Quality® scheme

    DEFF Research Database (Denmark)

    Veissier, I.; Jensen, Karsten Klint; Botreau, R.

    2011-01-01

    All systems of scoring animal units (groups, farms, slaughter plants, etc.) according to the level of the animals’ welfare are based inevitably on normative decisions. Similarly, all methods of labelling, in terms of acceptability, are based on choices reflecting ethical values. The evaluative...... system, which was designed in accordance with assessments and judgments from experts in animal and social sciences and stakeholders, we identify value-based decisions at the following five levels. First, there are several definitions of animal welfare (eg hedonist, perfectionist, and preferentialist......), and any welfare scoring system will reflect a focus upon one or other definition. In Welfare Quality® 12 welfare criteria were defined, and the entire list of criteria was intended to cover relevant definitions of animal welfare. Second, two dimensions can structure an overall evaluation of animal welfare...

  3. Development of a food-based diet quality score for Japanese: associations of the score with nutrient intakes in young, middle-aged and older Japanese women.

    Science.gov (United States)

    Kuriyama, Nozomi; Murakami, Kentaro; Livingstone, M Barbara E; Okubo, Hitomi; Kobayashi, Satomi; Suga, Hitomi; Sasaki, Satoshi

    2016-01-01

    Several previous studies have shown that a diet score based on the Japanese food guide Spinning Top (the original score) is associated with both favourable and unfavourable dietary intake patterns. We developed a food-based diet quality score (the modified score) and examined associations with nutrient intakes. Subjects were 3963 young (all aged 18 years), 3800 middle-aged (mean age 47·7 (sd 3·9) years) and 2211 older (mean age 74·4 (sd 5·2) years) Japanese women. Dietary intakes were assessed using comprehensive (for the young and middle-aged) and brief-type (for the older) diet history questionnaires. The original score was calculated based on intakes of grains, vegetables, fish/meat, milk, fruits, and snacks/alcoholic beverages. The modified score was similarly calculated, but included Na from seasonings and without applying the upper cut-off values for dietary components where increased consumption is advocated for Japanese women (grains, vegetables, fish/meat, milk, and fruits). The original score was positively associated with intakes of carbohydrate, dietary fibre, and all the vitamins and minerals examined including Na and inversely with intakes of fats and alcohol in young and middle-aged women. In older women, the original score was inversely associated with intakes of all nutrients except for carbohydrate and vitamin C. However, the modified score was associated positively with intakes of protein, carbohydrate, dietary fibre, K, Ca, Mg, Fe, vitamins A, C and E, and folate and inversely with intakes of fats, alcohol and Na in all generations. In conclusion, the modified diet score was positively associated with favourable nutrient intake patterns in Japanese women.

  4. The high-density lipoprotein-adjusted SCORE model worsens SCORE-based risk classification in a contemporary population of 30 824 Europeans

    DEFF Research Database (Denmark)

    Mortensen, Martin B; Afzal, Shoaib; Nordestgaard, Børge G

    2015-01-01

    AIMS: Recent European guidelines recommend to include high-density lipoprotein (HDL) cholesterol in risk assessment for primary prevention of cardiovascular disease (CVD), using a SCORE-based risk model (SCORE-HDL). We compared the predictive performance of SCORE-HDL with SCORE in an independent.......8 years of follow-up, 339 individuals died of CVD. In the SCORE target population (age 40-65; n = 30,824), fewer individuals were at baseline categorized as high risk (≥5% 10-year risk of fatal CVD) using SCORE-HDL compared with SCORE (10 vs. 17% in men, 1 vs. 3% in women). SCORE-HDL did not improve...... discrimination of future fatal CVD, compared with SCORE, but decreased the detection rate (sensitivity) of the 5% high-risk threshold from 42 to 26%, yielding a negative net reclassification index (NRI) of -12%. Importantly, using SCORE-HDL, the sensitivity was zero among women. Both SCORE and SCORE...

  5. Do employers know the quality of health care benefits they provide? Use of HEDIS depression scores for health plans.

    Science.gov (United States)

    Robst, John; Rost, Kathryn; Marshall, Donna

    2013-11-01

    OBJECTIVE Dissemination of health quality measures is a necessary ingredient of efforts to harness market-based forces, such as value-based purchasing by employers, to improve health care quality. This study examined reporting of Healthcare Effectiveness Data and Information Set (HEDIS) measures for depression to firms interested in improving depression care. METHODS During surveys conducted between 2009 and 2011, a sample of 325 employers that were interested in improving depression treatment were asked whether their primary health plan reports HEDIS scores for depression to the National Committee for Quality Assurance (NCQA) and if so, whether they knew the scores. Data about HEDIS reporting by the health plans were collected from the NCQA. RESULTS HEDIS depression scores were reported by the primary health plans of 154 (47%) employers, but only 7% of employers knew their plan's HEDIS scores. Because larger employers were more likely to report knowing the scores, 53% of all employees worked for employers who reported knowing the scores. A number of structural, health benefit, and need characteristics predicted knowledge of HEDIS depression scores by employers. CONCLUSIONS The study demonstrated that motivated employers did not know their depression HEDIS scores even when their plan publicly reported them. Measures of health care quality are not reaching the buyers of insurance products; however, larger employers were more likely to know the HEDIS scores for their health plan, suggesting that value-based purchasing may have some ability to affect health care quality.

  6. Using Old and New SAT® Scores for Admission: A Closer Look at Concordant Scores in Predictive Models. Research Report 2016-17

    Science.gov (United States)

    Marini, Jessica P.; Shaw, Emily J.; Young, Linda

    2016-01-01

    During the transition period between the use of exclusively old SAT® scores and the use of exclusively new SAT scores, college admission offices will be receiving both types of scores from students. Making an admission decision based on new SAT scores can be challenging at first because institutions have methods, procedures, and models based on…

  7. Evaluating Quality in Model-Driven Engineering

    OpenAIRE

    Mohagheghi, Parastoo; Aagedal, Jan

    2007-01-01

    In Model-Driven Engineering (MDE), models are the prime artifacts, and developing high-quality systems depends on developing high-quality models and performing transformations that preserve quality or even improve it. This paper presents quality goals in MDE and states that the quality of models is affected by the quality of modeling languages, tools, modeling processes, the knowledge and experience of modelers, and the quality assurance techniques applied. The paper further presents related ...

  8. Application of the Scoring Model for Assessing the Credit Rating of Principals

    OpenAIRE

    Margarita Janeska; Suzana Taleska; Kosta Sotiroski

    2014-01-01

    One of the most commonly used methods for assessing the credit rating of counterparties is a credit scoring model or credit scoring. Economic pressures, resulting in increased demand for loans, along with increasing the competition in the market of enterprises and the development of computational techniques and technologies leads to the development of statistical credit scoring model, and in order to expedite the process for making decisions related to credit approval. Credit scoring is used ...

  9. Bayesian statistical models to estimate EQ-5D utility scores from EORTC QLQ data in myeloma.

    Science.gov (United States)

    Kharroubi, Samer A; Edlin, Richard; Meads, David; McCabe, Christopher

    2018-02-20

    It is well documented that the modelling of health-related quality of life data is difficult as the distribution of such data is often strongly right/left skewed and it includes a significant percentage of observations at one. The objective of this study is to develop a series of two-part models (TPMs) that deal with these issues. Data from the UK Medical Research Council Myeloma IX trial were used to examine the relationship between the European Organization for Research and Treatment of Cancer (EORTC) QLQ-C30/QLQ-MY20 scores and the European QoL-5 Dimensions (EQ-5D) utility score. Four different TPMs were developed. The models fitted included TPM with normal regression, TPM with normal regression with variance a function of participant characteristics, TPM with log-transformed data, and TPM with gamma regression and a log link. The cohort of 1839 patients was divided into 75% derivation sample, to fit the different models, and 25% validation sample to assess the predictive ability of these models by comparing predicted and observed mean EQ-5D scores in the validation set, unadjusted R 2 , and root mean square error. Predictive performance in the derivation dataset depended on the criterion used, with R 2 /adjusted-R 2 favouring the TPM with normal regression and mean predicted error favouring the TPM with gamma regression. The TPM with gamma regression performs best within the validation dataset under all criteria. TPM regression models provide flexible approaches to estimate mean EQ-5D utility weights from the EORTC QLQ-C30/QLQ-MY20 for use in economic evaluation. Copyright © 2018 John Wiley & Sons, Ltd.

  10. Evaluating pre-pregnancy dietary diversity vs. dietary quality scores as predictors of gestational diabetes and hypertensive disorders of pregnancy.

    Science.gov (United States)

    Gicevic, Selma; Gaskins, Audrey J; Fung, Teresa T; Rosner, Bernard; Tobias, Deirdre K; Isanaka, Sheila; Willett, Walter C

    2018-01-01

    Dietary diversity scores (DDS) are considered as metrics for monitoring the implementation of the UN's Sustainable Development Goals, but they need to be rigorously evaluated. To examine two DDS, the Food Groups Index (FGI), and the Minimum Dietary Diversity-Women (MDD-W), alongside two dietary quality scores, the Alternate Healthy Eating Index (AHEI-2010) and the Prime Diet Quality Score (PDQS), with risks of gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDPs). The analysis included 21,312 (GDM) and 19,917 (HDPs) singleton births reported in the Nurses' Health Study II cohort (1991-2001), among women without major chronic disease or GDM/HDPs. Scores were derived using prepregnancy diet collected by a comprehensive food frequency questionnaire. Multivariable models were utilized to calculate relative risks (RR) and confidence intervals (95%CIs). Incident GDM (n = 916) and HDPs (n = 1,421) were reported. The MDD-W and FGI were not associated with risk of GDM or HDPs, but the AHEI-2010 and PDQS were associated with a lower risk of GDM and marginally lower risk of HDP. The RR's of GDM comparing the highest vs. lowest quintiles were 1.00 (95%CI: 0.79, 1.27; p-trend = 0.82) for MDD-W, 0.96 (95%CI: 0.76, 1.22; p-trend = 0.88) for FGI, 0.63 (95%CI: 0.50, 0.81; p-trend measure of a sustainable and healthy diet on a global scale.

  11. A new multimodal interactive way of subjective scoring of 3D video quality of experience

    Science.gov (United States)

    Kim, Taewan; Lee, Kwanghyun; Lee, Sanghoon; Bovik, Alan C.

    2014-03-01

    People that watch today's 3D visual programs, such as 3D cinema, 3D TV and 3D games, experience wide and dynamically varying ranges of 3D visual immersion and 3D quality of experience (QoE). It is necessary to be able to deploy reliable methodologies that measure each viewers subjective experience. We propose a new methodology that we call Multimodal Interactive Continuous Scoring of Quality (MICSQ). MICSQ is composed of a device interaction process between the 3D display and a separate device (PC, tablet, etc.) used as an assessment tool, and a human interaction process between the subject(s) and the device. The scoring process is multimodal, using aural and tactile cues to help engage and focus the subject(s) on their tasks. Moreover, the wireless device interaction process makes it possible for multiple subjects to assess 3D QoE simultaneously in a large space such as a movie theater, and at di®erent visual angles and distances.

  12. ACCUSA2: multi-purpose SNV calling enhanced by probabilistic integration of quality scores.

    Science.gov (United States)

    Piechotta, Michael; Dieterich, Christoph

    2013-07-15

    Direct comparisons of assembled short-read stacks are one way to identify single-nucleotide variants. Single-nucleotide variant detection is especially challenging across samples with different read depths (e.g. RNA-Seq) and high-background levels (e.g. selection experiments). We present ACCUSA2 to identify variant positions where nucleotide frequency spectra differ between two samples. To this end, ACCUSA2 integrates quality scores for base calling and read mapping into a common framework. Our benchmarks demonstrate that ACCUSA2 is superior to a state-of-the-art SNV caller in situations of diverging read depths and reliably detects subtle differences among sample nucleotide frequency spectra. Additionally, we show that ACCUSA2 is fast and robust against base quality score deviations. ACCUSA2 is available free of charge to academic users and may be obtained from https://bbc.mdc-berlin.de/software. christoph.dieterich@mdc-berlin.de Supplementary data are available at Bioinformatics online.

  13. Quantifying radioxerostomia: salivary flow rate, examiner's score, and quality of life questionnaire

    International Nuclear Information System (INIS)

    Al-Nawas, B.; Al-Nawas, K.; Kunkel, M.; Groetz, K.A.

    2006-01-01

    Background and purpose: salivary flow rates alone are not sufficient to quantify all aspects of radioxerostomia. This is a problem in studies aiming to reduce radioxerostomia. The aim of this study was to evaluate the association between objectively measured salivary flow rate and subjective xerostomia ratings by the physician (RTOG scale) or the patients (quality of life [QoL] questionnaire). Patients and methods: in a case-control study patients who underwent recall for oral cancer were screened. Inclusion criteria for this diagnostic, noninterventional study were: history of oral carcinoma, surgical and radiation therapy, time interval from start of radiation therapy > 90 days, salivary glands within the radiation field. The control group consisted of patients, who had not received radiotherapy. RTOG salivary gland score, quality of life (EORTC QLQ-C30 and H and N35), and sialometry were recorded. Results: patients with RTOG score 0 had mean salivary flow rates of 0.3 ml/min, those with RTOG 1 0.12 ml/min, RTOG 2 0.02 ml/min, and RTOG 3 < 0.01 ml/min. RTOG score 4 (total fibrosis) did not occur. Based on salivary flow rates, all patients were grouped into xerostomia < 0.2 ml/min (30 patients) and nonxerostomia (twelve patients). QoL results revealed significant differences between patients with xerostomia and nonxerostomia for physical function, dyspnea, swallowing, social eating, dry mouth, nutritional support, and a tendency to higher values for appetite loss. Conclusion: the correlation between ''subjective'' QoL parameters and salivary flow was confirmed. The different subjective aspects of radioxerostomia seem to be better differentiated by the EORTC QoL questionnaire. (orig.)

  14. Quality of Life Score as a Predictor of Death in Dogs with Degenerative Mitral Valve Disease.

    Science.gov (United States)

    Strunz, Célia M C; Marcondes-Santos, Mário; Takada, Julio Yoshio; Fragata, Fernanda S; Mansur, Antônio de Pádua

    2017-04-01

    The knowledge of the variables predicting mortality is important in clinical practice and for therapeutic monitoring in mitral valve disease. To determine whether a quality of life score evaluated with the Functional Evaluation of Cardiac Health questionnaire would predict mortality in dogs with degenerative mitral valve disease (DMVD). Thirty-six client-owned dogs with mitral valve disease underwent clinical, laboratory, and echocardiographic evaluations at baseline and were monitored for 6 months. Cardiovascular death was the primary outcome. The 36 dogs were classified as survivors or nonsurvivors. Higher values of the following variables were obtained at baseline in the nonsurviving group (12 dogs): amino-terminal pro-B-type natriuretic peptide (NT-proBNP) levels, plasma norepinephrine, heart rate, quality of life score, diastolic left ventricular internal dimension to aortic root ratio, systolic left ventricular internal dimension to aortic root ratio, and left atrium to aortic root ratio. NT-proBNP levels and quality life score were independently associated with death in the multivariable analysis. The quality life score was an independent variable for cardiac death in dogs with DMVD. This result is encouraging, as this score is easy to apply and does not require any technology, only a veterinarian and an observant owner. O conhecimento das variáveis preditoras de mortalidade é importante para a prática clínica e para o acompanhamento terapêutico na doença da valva mitral. Determinar se um escore de qualidade de vida avaliado com o Functional Evaluation of Cardiac Health poderia auxiliar na predição de mortalidade em cães com doença degenerativa da valva mitral (DDVM). Trinta e seis cães de estimação com doença valvar mitral foram submetidos a avaliação clínica, laboratorial e ecocardiográfica no início do estudo e monitorizados durante 6 meses. A morte cardiovascular foi o desfecho primário. Os 36 cães foram classificados como

  15. Confidence Intervals for Weighted Composite Scores under the Compound Binomial Error Model

    Science.gov (United States)

    Kim, Kyung Yong; Lee, Won-Chan

    2018-01-01

    Reporting confidence intervals with test scores helps test users make important decisions about examinees by providing information about the precision of test scores. Although a variety of estimation procedures based on the binomial error model are available for computing intervals for test scores, these procedures assume that items are randomly…

  16. Using Heteroskedastic Ordered Probit Models to Recover Moments of Continuous Test Score Distributions from Coarsened Data

    Science.gov (United States)

    Reardon, Sean F.; Shear, Benjamin R.; Castellano, Katherine E.; Ho, Andrew D.

    2017-01-01

    Test score distributions of schools or demographic groups are often summarized by frequencies of students scoring in a small number of ordered proficiency categories. We show that heteroskedastic ordered probit (HETOP) models can be used to estimate means and standard deviations of multiple groups' test score distributions from such data. Because…

  17. Addressing Opioid-Associated Constipation Using Quality Oncology Practice Initiative Scores and Plan-Do-Study-Act Cycles.

    Science.gov (United States)

    Kaur, Varinder; Haider, Sajjad; Sasapu, Appalanaidu; Mehta, Paulette; Arnaoutakis, Konstantinos; Makhoul, Issam

    2017-01-01

    Using the Quality Oncology Practice Initiative, an affiliate program of ASCO, we outlined opioid-associated constipation (OAC) as a subject in need of quality improvement (QI) in our fellowship program at the University of Arkansas for Medical Sciences and Central Arkansas Veterans Healthcare System. We initiated a fellow-led QI project to advance the quality of patient care and provide a valuable avenue for QI training of young physicians. Fellows organized meetings with all stakeholders, addressed the scope of the problem, and devised strategies for OAC management. Monthly meetings were organized using Plan-Do-Study-Act principles. Mandatory check boxes were inserted into our electronic medical record templates to remind all physicians to identify patients on opioid medications and assess and address OAC. Final chart audit and patient satisfaction surveys were performed 6 months after project initiation. Assessment of OAC improved from 52% at baseline to 92% ( P < .003). This improvement corresponded with high patient satisfaction scores, with 90% of surveyed patients reporting adequate management of their constipation. In this QI initiative, we showed that participation in ASCO's Quality Oncology Practice Initiative helps identify areas in need of QI, and such fellow-led QI projects can serve as models for QI training of young physicians.

  18. Investigating Importance Weighting of Satisfaction Scores from a Formative Model with Partial Least Squares Analysis

    Science.gov (United States)

    Wu, Chia-Huei; Chen, Lung Hung; Tsai, Ying-Mei

    2009-01-01

    This study introduced a formative model to investigate the utility of importance weighting on satisfaction scores with partial least squares analysis. Based on the bottom-up theory of satisfaction evaluations, the measurement structure for weighted/unweighted domain satisfaction scores was modeled as a formative model, whereas the measurement…

  19. Clinimetric quality of the new 2011 Knee Society score: high validity, low completion rate.

    Science.gov (United States)

    Dinjens, Remco N; Senden, Rachel; Heyligers, Ide C; Grimm, Bernd

    2014-06-01

    The demands of the younger and more active current total knee arthroplasty (TKA) patients are not in line with the current outcome assessments. Therefore, new questionnaires are developed or adjusted, as with the popular 1989 Knee Society Score (KSS). This study is the first to investigate the clinimetric parameters of the patient-reported outcome measurement (PROM) part of the 2011 KSS. Four-hundred-fifteen primary Dutch TKA patients were scored using the PROM part of the 2011 KSS. The scale is subdivided into an Objective (not evaluated), Satisfaction, Expectation and Function subscales. Clinimetric quality was evaluated by response and completion rate, test-retest reliability (n=29, intraclass correlation coefficient), internal consistency (n=172, Cronbach's alpha), construct validity (Pearson's correlations with 1989 KSS (n=75) and KOOS-PS (n=139)) and responsiveness (n=20, paired-samples t-test, effect sizes and floor and ceiling effects). A response rate of 96% and completion rate of 43% were found. Reliability and internal consistency proved excellent with ICCs≥0.79 and Cronbach's alpha≥0.76 for all subscales. Strong correlations were found between the Function subscales of the 2011 KSS and KOOS-PS (r=-0.60 to -0.83). All subscales improved significantly after intervention, with exception of Walking & Standing and Discretionary Activities. 23% reached the maximum score postoperatively in Walking & Standing, indicating a ceiling effect. The 2011 KSS is a reliable, internal consistent, construct valid and responsive questionnaire to assess the outcome of the Dutch TKA patients. Optimizations (e.g. shortening the scale, simplified design) are recommended to increase the disappointing completion rate. The 2011 KSS is a reliable, internal consistent, construct valid and responsive questionnaire to assess the outcome of the Dutch TKA patients. Copyright © 2014 Elsevier B.V. All rights reserved.

  20. Paediatric early warning scores on a children's ward: a quality improvement initiative.

    LENUS (Irish Health Repository)

    Ennis, Linda

    2014-09-09

    The aim of this quality improvement initiative was to incorporate a paediatric early warning score (PEWS) and track and trigger system in the routine care of children in an acute general children\\'s ward at a regional hospital in the Republic of Ireland. In the absence of a nationally recommended specific PEWS strategy, a local plan was developed. The experience of structuring and implementing the PEWS and track and trigger system is presented in this article. Data from the first year of use were collected to evaluate the clinical utility and effectiveness of this system. In the busy acute children\\'s service, the PEWS initiative was found to benefit processes of early detection, prompt referral and timely, appropriate management of children at potential risk of clinical deterioration. Nursing staff were empowered and supported to communicate concerns immediately and to seek rapid medical review, according to an agreed PEWS escalation plan. Outcomes were significantly improved.

  1. Clinical scoring systems in predicting health-related quality of life of children with injuries.

    Science.gov (United States)

    Mestrović, Julije; Mestrović, Marija; Polić, Branka; Markić, Josko; Kardum, Goran; Gunjaca, Grgo; Matas, Anita; Catipović, Tatjana; Radonić, Marija

    2013-06-01

    The aim of the study was to explore the association between Glasgow Coma Scale (GCS), Paediatric Index of Mortality (PIM2) and Injury Severity Score (ISS), and the long-term outcome of children with injuries. The health related quality of life (HRQL) was assessed by using the Royal Alexandra Hospital for children Measure of Function (RAHC MOF), 12 months post discharge. Out of 118 children with injuries (9% of all patients), 75 had injury of the head as the leading injury. There were no significant differences at admission in the severity of clinical condition, as expressed by PIM2 and ISS, between patients with head injuries and patients with other injured leading body regions. Children with head injuries had significantly worse HRQOL than children with other leading injured body region (p children from road traffic accidents had significantly worse HRQL (p = 0.004), compared to other mechanisms of injury. HRQL correlated significantly with GCS (p = 0.027), but not with ISS and PIM2. As the conclusion, among all scoring systems applied, only GCS, which demonstrates severity of head injury, showed significant impact on long-term outcome of injured children.

  2. An assessment of the quality of rotator cuff randomized controlled trials: utilizing the Jadad score and CONSORT criteria.

    Science.gov (United States)

    McCormick, Frank; Cvetanovich, Gregory L; Kim, Jaehon M; Harris, Joshua D; Gupta, Anil K; Abrams, Geoff D; Romeo, Anthony A; Provencher, Matthew T

    2013-09-01

    The AAOS's Clinical Practice Guideline on "Optimizing Care of Rotator Cuff Problems" suggested a lack of high-quality data. Our purpose is to quantify the quality of randomized controlled trials of rotator cuff disorders via the Jadad score, and to apply the 2010 Consolidated Standards of Reporting Trials CONSORT Criteria to determine factors associated with high Jadad scores and areas for improvement. A systematic review using PRISMA guidelines was performed. Utilizing an iterative search strategy of the top 6 impact factor orthopaedic journals from 2001 to 2011, all randomized controlled studies involving rotator cuff disorders were identified and scored in a systematic, blinded fashion. Each study received a Jadad score. Adherence to CONSORT criteria was quantified and linked to the Jadad score via linear regression. Common deficiencies were described. A total of 129 manuscripts were identified; 54 met inclusion criteria: total patients n = 4099; mean patients per article = 76; range, 16-660. The mean Jadad score was 3.0. Sixty-six percent (35/53) of studies were high quality (high quality: >3). Among these, the majority (63%, 22/35) were nonoperative trials. Adherence to CONSORT Criteria was associated with higher Jadad scores (R(2) = 0.3). The most common deficient CONSORT Criteria were: trial design descriptions (66%; 36/54 studies), descriptions of randomization type (65%; 35/54), and power analysis (46%; 25/54). The majority of randomized controlled trials of rotator cuff pathology are high-quality studies based on the Jadad score. Adherence to CONSORT criteria is linked to high-quality scores. Future studies should use full CONSORT Criteria. Copyright © 2013 Journal of Shoulder and Elbow Surgery Board of Trustees. All rights reserved.

  3. The European thoracic data quality project: An Aggregate Data Quality score to measure the quality of international multi-institutional databases.

    Science.gov (United States)

    Salati, Michele; Falcoz, Pierre-Emmanuel; Decaluwe, Herbert; Rocco, Gaetano; Van Raemdonck, Dirk; Varela, Gonzalo; Brunelli, Alessandro

    2016-05-01

    To describe the methodology for the development of data quality metrics in multi-institutional databases, deriving a cumulative data quality score [Aggregate Data Quality score (ADQ)]. The ESTS database was used to create and apply the metrics. The Units contributing to the ESTS database were ranked for the quality of data uploaded using the ADQ. We analysed data obtained from 96 Units contributing with at least 100 major lung resections (January 2007 to December 2014). The Units were anonymized assigning a casual numeric code. The following metrics were developed for measuring the data quality of each Unit: (i) record Completeness (COM); rate of present variables on 16 expected variables for all the records uploaded [1 - ('null values'/total expected values for the Unit) × 100, the concept of 'null value' was defined for each variable]; (ii) record Reliability (REL); rate of consistent checks on 9 checks tested for all the records uploaded [1 - (valid controls/total possible controls for the Unit) × 100, specific reliability control queries were defined]. These two metrics were rescaled using the mean and standard deviation of the entire dataset and summed, obtaining: (iii) ADQ score: [COM rescaled + REL rescaled]; it measures the cumulative data quality of a given dataset. The ADQ was used to rank the contributors. The COM of ESTS database contributors varied from 98.6 to 43% and the REL from 100 to 69%. Combining the rescaled metrics, the obtained ADQ ranged between 2.67 (highest data quality) and -7.85 (lowest data quality). Comparing the rating using just the COM value to the one obtained using the ADQ, 93% of Units changed their position. The major change was the drop of 66 positions considering the ADQ list. We described a reproducible method for data quality assessment in clinical multi-institutional databases. The ADQ is a unique indicator able to describe data quality and to compare it among centres. It has the potential of objectively guiding projects

  4. The microcirculation image quality score: development and preliminary evaluation of a proposed approach to grading quality of image acquisition for bedside videomicroscopy.

    Science.gov (United States)

    Massey, Michael J; Larochelle, Ethan; Najarro, Gabriel; Karmacharla, Adarsh; Arnold, Ryan; Trzeciak, Stephen; Angus, Derek C; Shapiro, Nathan I

    2013-12-01

    Side-stream dark-field microscopy is currently used to directly visualize sublingual microcirculation at the bedside. Our experience has found inherent technical challenges in the image acquisition process. This article presents and assesses a quality assurance method to rate image acquisition quality before analysis. We identified 6 common image capture and analysis problem areas in sublingual side-stream dark-field videos: illumination, duration, focus, content, stability, and pressure. We created the "Microcirculation Image Quality Score" by assigning a score of optimal (0 points), suboptimal but acceptable (1 point), or unacceptable (10 points) to each category (for further details, go to http://www.MicroscanAnalysis.blogspot.com). We evaluated 59 videos from a convenience sample of 34 unselected, noncritically ill emergency department patients to create a test set. Two raters, blinded to each other, implemented the score. Any video with a cumulative score of 10 or higher (range, 0-60) was considered unacceptable for further analysis. We created the Microcirculation Image Quality Score and applied it to 59 videos. For this particular set of 59 videos, the mean (SD) passing quality score was 1.68 (0.90), and the mean (SD) failing quality score was 15.74 (6.19), with 27 of 59 passing the quality score less than 10. Highest failure occurred from pressure artifact. The interrater agreement for acceptability was assessed using Cohen κ for each category: illumination (κ = 1.0), duration (κ = 1.0), focus (κ = 0.91), content (κ = 0.76), stability (κ = 0.71), and pressure (κ = 0.82) and overall pass-fail rates (score >10) (κ = 0.66). Our Microcirculation Image Quality Score addresses many of the common areas where video quality can degrade. The criteria introduced are an objective way to assess the quality of image acquisition, with the goal of selecting videos of adequate quality for analysis. The interrater reliability results in our preliminary study suggest

  5. Negative emotions affect postoperative scores for evaluating functional knee recovery and quality of life after total knee replacement

    Directory of Open Access Journals (Sweden)

    A. Qi

    2016-01-01

    Full Text Available This study aimed to determine whether psychological factors affect health-related quality of life (HRQL and recovery of knee function in total knee replacement (TKR patients. A total of 119 TKR patients (male: 38; female: 81 completed the Beck Anxiety Inventory (BAI, Beck Depression Inventory (BDI, State Trait Anxiety Inventory (STAI, Eysenck Personality Questionnaire-revised (EPQR-S, Knee Society Score (KSS, and HRQL (SF-36. At 1 and 6 months after surgery, anxiety, depression, and KSS scores in TKR patients were significantly better compared with those preoperatively (P<0.05. SF-36 scores at the sixth month after surgery were significantly improved compared with preoperative scores (P<0.001. Preoperative Physical Component Summary Scale (PCS and Mental Component Summary Scale (MCS scores were negatively associated with extraversion (E score (B=-0.986 and -0.967, respectively, both P<0.05. Postoperative PCS and State Anxiety Inventory (SAI scores were negatively associated with neuroticism (N score; B=-0.137 and -0.991, respectively, both P<0.05. Postoperative MCS, SAI, Trait Anxiety Inventory (TAI, and BAI scores were also negatively associated with the N score (B=-0.367, -0.107, -0.281, and -0.851, respectively, all P<0.05. The KSS function score at the sixth month after surgery was negatively associated with TAI and N scores (B=-0.315 and -0.532, respectively, both P<0.05, but positively associated with the E score (B=0.215, P<0.05. The postoperative KSS joint score was positively associated with postoperative PCS (B=0.356, P<0.05. In conclusion, for TKR patients, the scores used for evaluating recovery of knee function and HRQL after 6 months are inversely associated with the presence of negative emotions.

  6. Functionality of the Scoring and Rating Models in the Light of Implementation of New Regulations

    OpenAIRE

    Barbara Pawłowska

    2008-01-01

    The paper's intention is to present the functionality of the scoring and rating models approved by the New Capital Agreement and the Capital Requirements Directive in the context of credit risk management. The know-how transfers initiated the process of superseding the traditional credit risk assessment methods by new methods. The scoring and rating models are being successfully used by foreign banking institutions. A synthesis of views on credit risk assessment methods (credit scoring and cr...

  7. The Development of a Diet Quality Score for Preschool Children and Its Validation and Determinants in the Generation R Study

    NARCIS (Netherlands)

    Voortman, T.; Kiefte-de Jong, J.C.; Geelen, A.; Villamor, G.B.; Moll, H.A.; Jongste, de J.C.; Raat, H.; Hofman, A.; Jaddoe, V.W.V.; Franco, O.H.; Hooven, van den E.H.

    2015-01-01

    Background: Although many studies have examined health effects of infant feeding, studies on diet quality shortly after the weaning and lactation period are scarce. Objectives: Our aims were to develop and evaluate a diet score that measures overall diet quality in preschool children and to examine

  8. Measuring Teacher Quality with Value-Added Modeling

    Science.gov (United States)

    Marder, Michael

    2012-01-01

    Using computers to evaluate teachers based on student test scores is more difficult than it seems. Value-added modeling is a genuinely serious attempt to grapple with the difficulties. Value-added modeling carries the promise of measuring teacher quality automatically and objectively, and improving school systems at minimal cost. The essence of…

  9. Evaluation of Early Allograft Function Using the Liver Graft Assessment Following Transplantation Risk Score Model.

    Science.gov (United States)

    Agopian, Vatche G; Harlander-Locke, Michael P; Markovic, Daniela; Dumronggittigule, Wethit; Xia, Victor; Kaldas, Fady M; Zarrinpar, Ali; Yersiz, Hasan; Farmer, Douglas G; Hiatt, Jonathan R; Busuttil, Ronald W

    2017-12-20

    discrimination of 3-month graft failure-free survival compared with the existing EAD definition (C statistic, 0.68; P < .001) and the MEAF score (C statistic, 0.70; P < .001). Compared with patients with lower L-GrAFT risk, LT recipients in the highest 10th percentile of L-GrAFT scores had higher Model for End-Stage Liver Disease scores (median [IQR], 34 [26-40] vs 31 [25-38]; P = .005); greater need for pretransplant hospitalization (56.8% vs 44.8%; P = .003), renal replacement therapy (42.9% vs 30.5%; P < .001), mechanical ventilation (35.8% vs 18.1%; P < .001), and vasopressors (22.9% vs 11.0%; P < .001); longer cold ischemia times (median [IQR], 436 [311-539] vs 401 [302-506] minutes; P = .04); greater intraoperative blood transfusions (median [IQR], 17 [10-26] vs 10 [6-17] units of packed red blood cells; P < .001); and older donors (median [IQR] age, 47 [28-56] vs 41 [25-52] years; P < .001). The L-GrAFT risk score allows a highly accurate, individualized risk estimation of 3-month graft failure following LT that is more accurate than existing EAD and MEAF scores. Multicenter validation may allow for the adoption of the L-GrAFT as a tool for evaluating the need for a retransplant, for establishing standardized grading of early allograft function across transplant centers, and as a highly accurate clinical end point in translational studies aiming to mitigate ischemia or reperfusion injury by modulating donor quality and recipient factors.

  10. Adding propensity scores to pure prediction models fails to improve predictive performance

    Directory of Open Access Journals (Sweden)

    Amy S. Nowacki

    2013-08-01

    Full Text Available Background. Propensity score usage seems to be growing in popularity leading researchers to question the possible role of propensity scores in prediction modeling, despite the lack of a theoretical rationale. It is suspected that such requests are due to the lack of differentiation regarding the goals of predictive modeling versus causal inference modeling. Therefore, the purpose of this study is to formally examine the effect of propensity scores on predictive performance. Our hypothesis is that a multivariable regression model that adjusts for all covariates will perform as well as or better than those models utilizing propensity scores with respect to model discrimination and calibration.Methods. The most commonly encountered statistical scenarios for medical prediction (logistic and proportional hazards regression were used to investigate this research question. Random cross-validation was performed 500 times to correct for optimism. The multivariable regression models adjusting for all covariates were compared with models that included adjustment for or weighting with the propensity scores. The methods were compared based on three predictive performance measures: (1 concordance indices; (2 Brier scores; and (3 calibration curves.Results. Multivariable models adjusting for all covariates had the highest average concordance index, the lowest average Brier score, and the best calibration. Propensity score adjustment and inverse probability weighting models without adjustment for all covariates performed worse than full models and failed to improve predictive performance with full covariate adjustment.Conclusion. Propensity score techniques did not improve prediction performance measures beyond multivariable adjustment. Propensity scores are not recommended if the analytical goal is pure prediction modeling.

  11. Life after Per-oral Endoscopic Myotomy (POEM): Long-term Outcomes of Quality of Life and Their Association with Eckardt Score.

    Science.gov (United States)

    Perbtani, Yaseen B; Mramba, Lazarus K; Yang, Dennis; Suarez, Jorge; Draganov, Peter V

    2018-02-01

    The clinical efficacy of POEM has been commonly established by the reduction in the Eckardt score (<3) after the procedure. However, achalasia can lead to significant impairment in the patient's quality of life that may go beyond the 4 classical achalasia symptoms as measured by the Eckardt score. The aims of our study were (1) to evaluate the effect of POEM on short and long-term health-related quality of life (HRQOL) and to (2) assess the association between HRQOL and Eckardt scores. Single-center prospective cohort study of consecutive POEMs during a 3-year period. Eckardt and HRQOL scores as measured by the short-form survey questionnaire (SF-36) were obtained at baseline, and at various intervals post-POEM. Comparison of the mean scores were described using univariate linear regression. The association between Eckardt scores and HRQOL were performed by using a linear mixed model analysis. POEM was performed in 143 consecutive patients (54% male; mean age 56.9 ± 17.9 years). At long-term follow-up (mean 16.4 months, range: 12-40), both the HRQOL baseline mental and physical component scores improved significantly from 61.5 ± 2.2 to 71.2 ± 3.6 (p < 0.021), and from 55.8 ± 2.2 to 63.6 ± 3.3 (p = < 0.034), respectively. Mixed model analysis showed a significant association between Eckardt and all HRQOL scores (p<0.001). POEM improved all dimensions of HRQOL as measured by the SF-36 survey at both short- and long-term follow-up. A strong association was seen between Eckardt score and all HRQOL domains. Further studies using disease specific HRQOL instruments are warranted. Copyright © 2018 American Society for Gastrointestinal Endoscopy. Published by Elsevier Inc. All rights reserved.

  12. An isotonic partial credit model for ordering subjects on the basis of their sum scores

    NARCIS (Netherlands)

    Ligtvoet, R.

    2012-01-01

    In practice, the sum of the item scores is often used as a basis for comparing subjects. For items that have more than two ordered score categories, only the partial credit model (PCM) and special cases of this model imply that the subjects are stochastically ordered on the common latent variable.

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

    Science.gov (United States)

    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…

  14. WATER QUALITY MODELS: A REVIEW

    OpenAIRE

    Nair Sumita; Bhatia Sukhpreet Kaur

    2017-01-01

    Maintaining water quality and predicting the fate of water pollutants are one of the important tasks of present environmental problems. The best tool for predicting different pollution scenarios are the simulation of mathematical models which can provide a basis and technical support for environmental management.

  15. Model quality and safety studies

    DEFF Research Database (Denmark)

    Petersen, K.E.

    1997-01-01

    evaluation group (MEG) is a European initiative on evaluation of technical models used within the major industrial hazard area and is supported by the EC DGXII, Directorate-General for Science, Research and Development. Closely related to MEG is REDIPHEM, which is the acronym of a research project supported...... by the EC Environment Research Programme focusing on assessment of the quality of experimental data and models for dense gas dispersion created within the EC funded research programmes. Technical models are used in a number of areas of industrial hazards assessment. It is becoming more and more apparent...... of ensuring that model development is of a standard that is commensurate with the importance of model use. The aim of MEG is to improve the culture in which models are developed and used and so ensure that technical models used in all aspects of major hazard evaluation are up to date with technical...

  16. Protein quality evaluation twenty years after the introduction of the protein digestibility corrected amino acid score method.

    Science.gov (United States)

    Boye, Joyce; Wijesinha-Bettoni, Ramani; Burlingame, Barbara

    2012-08-01

    In 1989 the Joint FAO/WHO Expert Consultation on Protein Quality Evaluation recommended the use of the Protein Digestibility Corrected Amino Acid Score (PDCAAS) method for evaluating protein quality. In calculating PDCAAS, the limiting amino acid score (i.e., ratio of first limiting amino acid in a gram of target food to that in a reference protein or requirement) is multiplied by protein digestibility. The PDCAAS method has now been in use for 20 years. Research emerging during this time has provided useful data on various aspects of protein quality evaluation that has made a review of the current methods used in assessing protein quality necessary. This paper provides an overview of the use of the PDCAAS method as compared to other methods and addresses some of the key challenges that remain in regards to protein quality evaluation. Furthermore, specific factors influencing protein quality including the effects of processing conditions and preparation methods are presented. Protein quality evaluation methods and recommended protein intakes currently used in different countries vis-à-vis the WHO/FAO/UNU standards are further provided. As foods are frequently consumed in complement with other foods, the significance of the PDCAAS of single protein sources may not be evident, thus, protein quality of some key food groups and challenges surrounding the calculation of the amino acid score for dietary protein mixtures are further discussed. As results from new research emerge, recommendations may need to be updated or revised to maintain relevance of methods used in calculating protein quality.

  17. Application of the Scoring Model for Assessing the Credit Rating of Principals

    Directory of Open Access Journals (Sweden)

    Margarita Janeska

    2014-02-01

    Full Text Available One of the most commonly used methods for assessing the credit rating of counterparties is a credit scoring model or credit scoring. Economic pressures, resulting in increased demand for loans, along with increasing the competition in the market of enterprises and the development of computational techniques and technologies leads to the development of statistical credit scoring model, and in order to expedite the process for making decisions related to credit approval. Credit scoring is used to increase the precision in the approval of loans to creditworthy customers, which can result in increased profits or rejection of those customers who are not creditworthy.

  18. Misspecification in Latent Change Score Models: Consequences for Parameter Estimation, Model Evaluation, and Predicting Change.

    Science.gov (United States)

    Clark, D Angus; Nuttall, Amy K; Bowles, Ryan P

    2018-01-01

    Latent change score models (LCS) are conceptually powerful tools for analyzing longitudinal data (McArdle & Hamagami, 2001). However, applications of these models typically include constraints on key parameters over time. Although practically useful, strict invariance over time in these parameters is unlikely in real data. This study investigates the robustness of LCS when invariance over time is incorrectly imposed on key change-related parameters. Monte Carlo simulation methods were used to explore the impact of misspecification on parameter estimation, predicted trajectories of change, and model fit in the dual change score model, the foundational LCS. When constraints were incorrectly applied, several parameters, most notably the slope (i.e., constant change) factor mean and autoproportion coefficient, were severely and consistently biased, as were regression paths to the slope factor when external predictors of change were included. Standard fit indices indicated that the misspecified models fit well, partly because mean level trajectories over time were accurately captured. Loosening constraint improved the accuracy of parameter estimates, but estimates were more unstable, and models frequently failed to converge. Results suggest that potentially common sources of misspecification in LCS can produce distorted impressions of developmental processes, and that identifying and rectifying the situation is a challenge.

  19. Improved protein model quality assessments by changing the target function.

    Science.gov (United States)

    Uziela, Karolis; Menéndez Hurtado, David; Shu, Nanjiang; Wallner, Björn; Elofsson, Arne

    2018-03-09

    Protein modeling quality is an important part of protein structure prediction. We have for more than a decade developed a set of methods for this problem. We have used various types of description of the protein and different machine learning methodologies. However, common to all these methods has been the target function used for training. The target function in ProQ describes the local quality of a residue in a protein model. In all versions of ProQ the target function has been the S-score. However, other quality estimation functions also exist, which can be divided into superposition- and contact-based methods. The superposition-based methods, such as S-score, are based on a rigid body superposition of a protein model and the native structure, while the contact-based methods compare the local environment of each residue. Here, we examine the effects of retraining our latest predictor, ProQ3D, using identical inputs but different target functions. We find that the contact-based methods are easier to predict and that predictors trained on these measures provide some advantages when it comes to identifying the best model. One possible reason for this is that contact based methods are better at estimating the quality of multi-domain targets. However, training on the S-score gives the best correlation with the GDT_TS score, which is commonly used in CASP to score the global model quality. To take the advantage of both of these features we provide an updated version of ProQ3D that predicts local and global model quality estimates based on different quality estimates. © 2018 Wiley Periodicals, Inc.

  20. Food-based diet quality score in relation to depressive symptoms in young and middle-aged Japanese women.

    Science.gov (United States)

    Sakai, Hiroka; Murakami, Kentaro; Kobayashi, Satomi; Suga, Hitomi; Sasaki, Satoshi

    2017-06-01

    Only a few studies have focused on the association between overall diet, rather than intakes of individual nutrients or foods, and depressive symptoms in Japanese. This cross-sectional study examined associations between a diet quality score and depressive symptoms in 3963 young (age 18 years) and 3833 middle-aged (mean age 47·9 (sd 4·2) years) Japanese women. Dietary information was collected using a diet history questionnaire. A previously developed diet quality score was computed mainly based on the Japanese Food Guide Spinning Top. The prevalence of depressive symptoms was 22·0 % for young women and 16·8 % for middle-aged women, assessed as a Center for Epidemiologic Studies Depression (CES-D) score ≥23 and ≥19, respectively. As expected, the diet quality score was associated positively with intakes of 'grain dishes', 'vegetable dishes', 'fish and meat dishes', 'milk' and 'fruits' and inversely with intakes of energy from 'snacks, confection and beverages' and Na from seasonings. After adjustment for potential confounders, OR for depressive symptoms in the highest v. lowest quintiles of the diet quality score was 0·65 (95 % CI 0·50, 0·84) in young women (P for trend=0·0005). In middle-aged women, the corresponding value was 0·59 (95 % CI 0·45, 0·78) (P for trenddiet quality and CES-D scores were treated as continuous variables also showed inverse associations. In conclusion, this cross-sectional study showed that a higher diet quality score was associated with a lower prevalence of depressive symptoms in young and middle-aged Japanese women. Prospective studies are needed to confirm a public health relevance of this finding.

  1. An Analysis of Cross Racial Identity Scale Scores Using Classical Test Theory and Rasch Item Response Models

    Science.gov (United States)

    Sussman, Joshua; Beaujean, A. Alexander; Worrell, Frank C.; Watson, Stevie

    2013-01-01

    Item response models (IRMs) were used to analyze Cross Racial Identity Scale (CRIS) scores. Rasch analysis scores were compared with classical test theory (CTT) scores. The partial credit model demonstrated a high goodness of fit and correlations between Rasch and CTT scores ranged from 0.91 to 0.99. CRIS scores are supported by both methods.…

  2. River water quality modelling: II

    DEFF Research Database (Denmark)

    Shanahan, P.; Henze, Mogens; Koncsos, L.

    1998-01-01

    The U.S. EPA QUAL2E model is currently the standard for river water quality modelling. While QUAL2E is adequate for the regulatory situation for which it was developed (the U.S. wasteload allocation process), there is a need for a more comprehensive framework for research and teaching. Moreover......, and to achieve robust model calibration. Mass balance problems arise from failure to account for mass in the sediment as well as in the water column and due to the fundamental imprecision of BOD as a state variable. (C) 1998 IAWQ Published by Elsevier Science Ltd. All rights reserved....

  3. Evaluation of methodologies for assessing the overall diet: dietary quality scores and dietary pattern analysis.

    Science.gov (United States)

    Ocké, Marga C

    2013-05-01

    This paper aims to describe different approaches for studying the overall diet with advantages and limitations. Studies of the overall diet have emerged because the relationship between dietary intake and health is very complex with all kinds of interactions. These cannot be captured well by studying single dietary components. Three main approaches to study the overall diet can be distinguished. The first method is researcher-defined scores or indices of diet quality. These are usually based on guidelines for a healthy diet or on diets known to be healthy. The second approach, using principal component or cluster analysis, is driven by the underlying dietary data. In principal component analysis, scales are derived based on the underlying relationships between food groups, whereas in cluster analysis, subgroups of the population are created with people that cluster together based on their dietary intake. A third approach includes methods that are driven by a combination of biological pathways and the underlying dietary data. Reduced rank regression defines linear combinations of food intakes that maximally explain nutrient intakes or intermediate markers of disease. Decision tree analysis identifies subgroups of a population whose members share dietary characteristics that influence (intermediate markers of) disease. It is concluded that all approaches have advantages and limitations and essentially answer different questions. The third approach is still more in an exploration phase, but seems to have great potential with complementary value. More insight into the utility of conducting studies on the overall diet can be gained if more attention is given to methodological issues.

  4. Effect of fat score on the quality of various meat products.

    Science.gov (United States)

    Hadorn, R; Eberhard, P; Guggisberg, D; Piccinali, P; Schlichtherle-Cerny, H

    2008-11-01

    In the larger Swiss abattoirs the fat score (FS) is determined by default as an indicator of fat quality. The FS refers to the iodine number and is related to the degree of unsaturation of the outer layer of backfat. In a feeding trial with Large White gilts, the FS was determined in 47 carcasses. Meat and fat tissues were prepared for the production of salami (SAL), raw-cured bacon (RCB), pork hamburger (PHB) and Vienna sausage (VIS). In the different meat products, the FS was closely related to the percentage of saturated (SFA: r=-0.49 to -0.79) and polyunsaturated fatty acids (PUFA, r=0.36 to 0.79) for RCB, SAL and PHB (p⩽0.05), but not for VIS. For RCB, significant correlations with FS were seen for the meat:fat-ratio (r=0.39), fat firmness (r=-0.31) and one fat oxidation marker (1-octen-3-ol: r=0.51). The texture (r=-0.60), a(w)-value (r=0.63) and one fat oxidation marker (1-octen-3-ol: r=0.46) were significantly correlated with FS in SAL. On the whole, only a few variables correlated significantly with FS for SAL and RCB and the corresponding relationships were always linear. No significant correlation between FS and any of the technological and sensorial parameters were found for VIS or PHB.

  5. Protein digestibility-corrected amino acid scores and digestible indispensable amino acid scores differentially describe protein quality in growing male rats.

    Science.gov (United States)

    Rutherfurd, Shane M; Fanning, Aaron C; Miller, Bruce J; Moughan, Paul J

    2015-02-01

    The FAO has recommended replacing the protein digestibility-corrected amino acid score (PDCAAS) with the digestible indispensable amino acid score (DIAAS). The objective of this study was to compare aspects underlying the calculation of the DIAAS and PDCAAS, including 1) fecal digestibility vs. ileal digestibility, 2) using a single nitrogen digestibility value for all amino acids, and 3) the effect of truncation. Truncated PDCAAS and untruncated DIAAS values calculated as formally defined were also compared and DIAAS data presented for 14 dietary protein sources. Semisynthetic wheat starch-based diets were formulated to contain the test protein (as consumed by humans) source (whey- and soy-protein isolates, milk-, whey-, rice- and pea- protein concentrates, cooked kidney beans, roasted peanuts, cooked peas, corn-based breakfast cereal, cooked rice, cooked rolled oats, and wheat bran) as the sole nitrogen source and with an indigestible marker (titanium dioxide). Growing male rats (∼250 g bodyweight) were given a basal casein-based diet from day 1 to day 7 and then allocated (n = 6) to the test diets for day 8 to day 14 before ileal digesta were collected after the rats were killed. Total feces were collected from day 11 to day 14. True fecal nitrogen digestibility was different (P PDCAAS values were generally higher than a DIAAS values, especially for the poorer quality proteins; therefore, the reported differences in the scores are of potential practical importance for populations in which dietary protein intake may be marginal. © 2015 American Society for Nutrition.

  6. Healthcare quality maturity assessment model based on quality drivers.

    Science.gov (United States)

    Ramadan, Nadia; Arafeh, Mazen

    2016-04-18

    Purpose - Healthcare providers differ in their readiness and maturity levels regarding quality and quality management systems applications. The purpose of this paper is to serve as a useful quantitative quality maturity-level assessment tool for healthcare organizations. Design/methodology/approach - The model proposes five quality maturity levels (chaotic, primitive, structured, mature and proficient) based on six quality drivers: top management, people, operations, culture, quality focus and accreditation. Findings - Healthcare managers can apply the model to identify the status quo, quality shortcomings and evaluating ongoing progress. Practical implications - The model has been incorporated in an interactive Excel worksheet that visually displays the quality maturity-level risk meter. The tool has been applied successfully to local hospitals. Originality/value - The proposed six quality driver scales appear to measure healthcare provider maturity levels on a single quality meter.

  7. Homology model-based virtual screening for GPCR ligands using docking and target-biased scoring.

    Science.gov (United States)

    Radestock, Sebastian; Weil, Tanja; Renner, Steffen

    2008-05-01

    The current study investigates the combination of two recently reported techniques for the improvement of homology model-based virtual screening for G-protein coupled receptor (GPCR) ligands. First, ligand-supported homology modeling was used to generate receptor models that were in agreement with mutagenesis data and structure-activity relationship information of the ligands. Second, interaction patterns from known ligands to the receptor were applied for scoring and rank ordering compounds from a virtual library using ligand-receptor interaction fingerprint-based similarity (IFS). Our approach was evaluated in retrospective virtual screening experiments for antagonists of the metabotropic glutamate receptor (mGluR) subtype 5. The results of our approach were compared to the results obtained by conventional scoring functions (Dock-Score, PMF-Score, Gold-Score, ChemScore, and FlexX-Score). The IFS lead to significantly higher enrichment rates, relative to the competing scoring functions. Though using a target-biased scoring approach, the results were not biased toward the chemical classes of the reference structures. Our results indicate that the presented approach has the potential to serve as a general setup for successful structure-based GPCR virtual screening.

  8. A method for modelling GP practice level deprivation scores using GIS

    Directory of Open Access Journals (Sweden)

    Pearson Tim

    2007-09-01

    Full Text Available Abstract Background A measure of general practice level socioeconomic deprivation can be used to explore the association between deprivation and other practice characteristics. An area-based categorisation is commonly chosen as the basis for such a deprivation measure. Ideally a practice population-weighted area-based deprivation score would be calculated using individual level spatially referenced data. However, these data are often unavailable. One approach is to link the practice postcode to an area-based deprivation score, but this method has limitations. This study aimed to develop a Geographical Information Systems (GIS based model that could better predict a practice population-weighted deprivation score in the absence of patient level data than simple practice postcode linkage. Results We calculated predicted practice level Index of Multiple Deprivation (IMD 2004 deprivation scores using two methods that did not require patient level data. Firstly we linked the practice postcode to an IMD 2004 score, and secondly we used a GIS model derived using data from Rotherham, UK. We compared our two sets of predicted scores to "gold standard" practice population-weighted scores for practices in Doncaster, Havering and Warrington. Overall, the practice postcode linkage method overestimated "gold standard" IMD scores by 2.54 points (95% CI 0.94, 4.14, whereas our modelling method showed no such bias (mean difference 0.36, 95% CI -0.30, 1.02. The postcode-linked method systematically underestimated the gold standard score in less deprived areas, and overestimated it in more deprived areas. Our modelling method showed a small underestimation in scores at higher levels of deprivation in Havering, but showed no bias in Doncaster or Warrington. The postcode-linked method showed more variability when predicting scores than did the GIS modelling method. Conclusion A GIS based model can be used to predict a practice population-weighted area

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

    Science.gov (United States)

    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…

  10. Higher Education Quality Assessment Model: Towards Achieving Educational Quality Standard

    Science.gov (United States)

    Noaman, Amin Y.; Ragab, Abdul Hamid M.; Madbouly, Ayman I.; Khedra, Ahmed M.; Fayoumi, Ayman G.

    2017-01-01

    This paper presents a developed higher education quality assessment model (HEQAM) that can be applied for enhancement of university services. This is because there is no universal unified quality standard model that can be used to assess the quality criteria of higher education institutes. The analytical hierarchy process is used to identify the…

  11. Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death.

    Science.gov (United States)

    Ding, Chen-Guang; Tai, Qian-Hui; Han, Feng; Li, Yang; Tian, Xiao-Hui; Tian, Pu-Xun; Ding, Xiao-Ming; Pan, Xiao-Ming; Zheng, Jin; Xiang, He-Li; Xue, Wu-Jun

    2017-10-20

    How to evaluate the quality of donation after cardiac death (DCD) kidneys has become a critical problem in kidney transplantation in China. Hence, the aim of this study was to develop a simple donor risk score model to evaluate the quality of DCD kidneys before DCD. A total of 543 qualified kidneys were randomized in a 2:1 manner to create the development and validation cohorts. The donor variables in the development cohort were considered as candidate univariate predictors of delayed graft function (DGF). Multivariate logistic regression was then used to identify independent predictors of DGF with P donation and potentially useful for physicians to make optimal decisions about donor organ offers.

  12. A model for predicting the GEARS score from virtual reality surgical simulator metrics.

    Science.gov (United States)

    Dubin, Ariel Kate; Julian, Danielle; Tanaka, Alyssa; Mattingly, Patricia; Smith, Roger

    2018-02-05

    Surgical education relies heavily upon simulation. Assessment tools include robotic simulator assessments and Global Evaluative Assessment of Robotic Skills (GEARS) metrics, which have been validated. Training programs use GEARS for proficiency testing; however, it requires a trained human evaluator. Due to limited time, learners are reliant on surgical simulator feedback to improve their skills. GEARS and simulator scores have been shown to be correlated but in what capacity is unknown. Our goal is to develop a model for predicting GEARS score using simulator metrics. Linear and multivariate logistic regressions were used on previously reported data by this group. Subjects performed simple (Ring and Rail 1) and complex (Suture Sponge 1) tasks on simulators, the dV-Trainer (dVT) and the da Vinci Skills Simulator (dVSS). They were scored via simulator metrics and GEARS. A linear model for each simulator and exercise showed a positive linear correlation. Equations were developed for predicting GEARS Total Score from simulator Overall Score. Next, the effects of each individual simulator metric on the GEARS Total Score for each simulator and exercise were examined. On the dVSS, Excessive Instrument Force was significant for Ring and Rail 1 and Instrument Collision was significant for Suture Sponge 1. On the dVT, Time to Complete was significant for both exercises. Once the significant variables were identified, multivariate models were generated. Comparing the predicted GEARS Total Score from the linear model (using only simulator Overall Score) to that using the multivariate model (using the significant variables for each simulator and exercise), the results were similar. Our results suggest that trainees can use simulator Overall Score to predict GEARS Total Score using our linear regression equations. This can improve the training process for those preparing for high-stakes assessments.

  13. A random point process model for the score in sport matches

    Czech Academy of Sciences Publication Activity Database

    Volf, Petr

    2009-01-01

    Roč. 20, č. 2 (2009), s. 121-131 ISSN 1471-678X R&D Projects: GA AV ČR(CZ) IAA101120604 Institutional research plan: CEZ:AV0Z10750506 Keywords : sport statistics * scoring intensity * Cox’s regression model Subject RIV: BB - Applied Statistics, Operational Research http://library.utia.cas.cz/separaty/2009/SI/volf-a random point process model for the score in sport matches.pdf

  14. Fatal cardiovascular risk assessment with SCORE model in type 2 diabetes patients from Republic of Macedonia

    OpenAIRE

    Smokovski, Ivica; Milenkovic, Tatjana

    2013-01-01

    Aim: Assessment of 10-year fatal cardiovascular risk (%) with SCORE model in patients with type 2 diabetes mellitus (DM) from Republic of Macedonia, adjusted for diabetic population. Methods and materials: Observational, cross-sectional study of cohort of 1,404 type 2 DM aged 25 to 65 years, without cardiovascular disease or cancer. 10-year fatal cardiovascular risk (%) with SCORE model was calculated for every patient, taking in consideration the increased relative risk of DM compared to non...

  15. Identification of the optimal donor quality scoring system and measure of early renal function in kidney transplantation.

    LENUS (Irish Health Repository)

    Moore, Jason

    2009-02-27

    The early identification of kidney allografts at risk of later dysfunction has implications for clinical practice. Donor quality scoring systems (preoperative) and measures of early allograft function (first week postoperative) have previously shown practical utility. This study aimed to determine the optimal parameter(s) (preoperative and postoperative) with greatest predictive power for the development of subsequent allograft dysfunction.

  16. Developing a TQM quality management method model

    OpenAIRE

    Zhang, Zhihai

    1997-01-01

    From an extensive review of total quality management literature, the external and internal environment affecting an organization's quality performance and the eleven primary elements of TQM are identified. Based on the primary TQM elements, a TQM quality management method model is developed. This model describes the primary quality management methods which may be used to assess an organization's present strengths and weaknesses with regard to its use of quality management methods. This model ...

  17. The Mediterranean Diet Score Is More Strongly Associated with Favorable Cardiometabolic Risk Factors over 2 Years Than Other Diet Quality Indexes in Puerto Rican Adults.

    Science.gov (United States)

    Mattei, Josiemer; Sotos-Prieto, Mercedes; Bigornia, Sherman J; Noel, Sabrina E; Tucker, Katherine L

    2017-04-01

    Background: Multiple diet quality scores have been used to evaluate adherence to specific dietary recommendations or to consumption of healthful foods and nutrients. It remains unknown which score can more strongly predict longitudinal changes in cardiometabolic risk factors. Objective: We aimed to determine associations of 5 diet quality scores [AHA diet score (AHA-DS), Dietary Approaches to Stop Hypertension (DASH), Healthy Eating Index (HEI)-2005, Mediterranean diet score (MeDS), and Alternative Healthy Eating Index (AHEI)] with 2-y changes in cardiometabolic risk factors in adults 45-75 y old. Methods: Data from the Boston Puerto Rican Health Study were analyzed ( n = 1194). Diet quality scores were calculated from a baseline-validated food-frequency questionnaire. Multivariable-adjusted, repeated-subjects, mixed-effects models, adjusted for baseline measures, estimated associations between each z score and 14 individual cardiometabolic factors measured at 2 y. Results: MeDS was significantly associated with lower 2-y waist circumference (β coefficient ± SE: -0.52 ± 0.26, P = 0.048); body mass index (BMI; -0.23 ± 0.08, P = 0.005); log-insulin (-0.06 ± 0.02, P = 0.005); log-homeostasis model assessment of insulin resistance (HOMA-IR; -0.05 ± 0.02, P = 0.030), and log-C-reactive protein (-0.13 ± 0.03, P = 0.0002). Similar but weaker associations were observed for the AHEI with BMI, insulin, and HOMA-IR. The AHA-DS was inversely associated with BMI (-0.17 ± 0.08, P = 0.033). Neither the HEI-2005 nor DASH was significantly associated with any variable. Traditional Puerto Rican foods consumed by individuals with high MeDSs included vegetables and meats in homemade soups, orange juice, oatmeal, beans and legumes, fish, whole milk, corn oil, and beer. Conclusions: The MeDS comprises food components and scores associated with a favorable cardiometabolic profile over 2 y in Puerto Rican adults. An overall healthy diet may be particularly beneficial for

  18. Enhancement of transparency and accuracy of credit scoring models through genetic fuzzy classifier

    Directory of Open Access Journals (Sweden)

    Raja N. Ainon

    2010-04-01

    Full Text Available Credit risk evaluation systems play an important role in the financial decision-making by enabling faster credit decisions, reducing the cost of credit analysis and diminishing possible risks. Credit scoring is the most commonly used technique for evaluating the creditworthiness of the credit applicants. The credit models built with this technique should satisfy two important criteria, namely accuracy, which measures the capability of predicting the behaviour of the customers, and transparency, which reflects the ability of the model to describe the input-output relation in an understandable way. In our paper, two credit scoring models are proposed using two types of fuzzy systems, namely Takagi-Sugeno (TS and Mamdani types. The accuracy and transparency of these two models have been optimised. The TS fuzzy credit scoring model is generated using subtractive clustering method while the Mamdani fuzzy system is extracted using fuzzy C-means clustering algorithm. The accuracy and transparency of the two resulting fuzzy credit scoring models are optimised using two multi-objective evolutionary techniques. The potential of the proposed modelling approaches for enhancing the transparency of the credit scoring models while maintaining the classification accuracy is illustrated using two benchmark real world data sets. The TS fuzzy system is found to be highly accurate and computationally efficient while the Mamdani fuzzy system is highly transparent, intuitive and humanly understandable.

  19. [Results of applying a paediatric early warning score system as a healthcare quality improvement plan].

    Science.gov (United States)

    Rivero-Martín, M J; Prieto-Martínez, S; García-Solano, M; Montilla-Pérez, M; Tena-Martín, E; Ballesteros-García, M M

    2016-06-01

    The aims of this study were to introduce a paediatric early warning score (PEWS) into our daily clinical practice, as well as to evaluate its ability to detect clinical deterioration in children admitted, and to train nursing staff to communicate the information and response effectively. An analysis was performed on the implementation of PEWS in the electronic health records of children (0-15 years) in our paediatric ward from February 2014 to September 2014. The maximum score was 6. Nursing staff reviewed scores >2, and if >3 medical and nursing staff reviewed it. Monitoring indicators: % of admissions with scoring; % of complete data capture; % of scores >3; % of scores >3 reviewed by medical staff, % of changes in treatment due to the warning system, and number of patients who needed Paediatric Intensive Care Unit (PICU) admission, or died without an increased warning score. The data were collected from all patients (931) admitted. The scale was measured 7,917 times, with 78.8% of them with complete data capture. Very few (1.9%) showed scores >3, and 14% of them with changes in clinical management (intensifying treatment or new diagnostic tests). One patient (scored 2) required PICU admission. There were no deaths. Parents or nursing staff concern was registered in 80% of cases. PEWS are useful to provide a standardised assessment of clinical status in the inpatient setting, using a unique scale and implementing data capture. Because of the lack of severe complications requiring PICU admission and deaths, we will have to use other data to evaluate these scales. Copyright © 2016 SECA. Published by Elsevier Espana. All rights reserved.

  20. Review of Watershed Water Quality Models

    National Research Council Canada - National Science Library

    Deliman, Patrick

    1999-01-01

    .... Several available watershed water quality models were reviewed and rated with regard to their potential in being utilized as the building block for the development of a Corps of Engineers watershed water quality model...

  1. The development of a diet quality score for preschool children and its validation and determinants in the Generation R Study.

    Science.gov (United States)

    Voortman, Trudy; Kiefte-de Jong, Jessica C; Geelen, Anouk; Villamor, Eduardo; Moll, Henriëtte A; de Jongste, Johan C; Raat, Hein; Hofman, Albert; Jaddoe, Vincent W V; Franco, Oscar H; van den Hooven, Edith H

    2015-02-01

    Although many studies have examined health effects of infant feeding, studies on diet quality shortly after the weaning and lactation period are scarce. Our aims were to develop and evaluate a diet score that measures overall diet quality in preschool children and to examine the sociodemographic and lifestyle determinants of this score. On the basis of national and international dietary guidelines for young children, we developed a diet score containing 10 components: intake of vegetables; fruit; bread and cereals; rice, pasta, potatoes, and legumes; dairy; meat and eggs; fish; oils and fats; candy and snacks; and sugar-sweetened beverages. The total score ranged from 0 to 10 on a continuous scale and was standardized to an energy intake of 1200 kcal/d with the residual method. The score was evaluated in 3629 children participating in the Generation R Study, a population-based prospective cohort study. Food consumption was assessed with a food-frequency questionnaire (FFQ) at a median age of 13 mo. The mean ± SD diet score was 4.1 ± 1.3. The food-based diet score was positively associated with intakes of many nutrients, including n-3 (ω-3) fatty acids [FAs; 0.25 SD increase (95% CI: 0.22, 0.27) per 1 point increase in the diet score], dietary fiber [0.32 (95% CI: 0.30, 0.34)], and calcium [0.13 (95% CI: 0.11, 0.16)], and was inversely associated with intakes of sugars [-0.28 (95% CI: -0.31, -0.26)] and saturated fat [-0.03 (95% CI: -0.05, -0.01)]. A higher diet score was associated with several health-conscious behaviors, such as maternal folic acid supplement use during pregnancy, no smoking during pregnancy, and children watching less television. We developed a novel food-based diet score for preschool children that could be applied in future studies to compare diet quality in early childhood and to investigate associations between diet in early childhood and growth, health, and development. © 2015 American Society for Nutrition.

  2. Quantitative Structure-activity Relationship (QSAR) Models for Docking Score Correction.

    Science.gov (United States)

    Fukunishi, Yoshifumi; Yamasaki, Satoshi; Yasumatsu, Isao; Takeuchi, Koh; Kurosawa, Takashi; Nakamura, Haruki

    2017-01-01

    In order to improve docking score correction, we developed several structure-based quantitative structure activity relationship (QSAR) models by protein-drug docking simulations and applied these models to public affinity data. The prediction models used descriptor-based regression, and the compound descriptor was a set of docking scores against multiple (∼600) proteins including nontargets. The binding free energy that corresponded to the docking score was approximated by a weighted average of docking scores for multiple proteins, and we tried linear, weighted linear and polynomial regression models considering the compound similarities. In addition, we tried a combination of these regression models for individual data sets such as IC 50 , K i , and %inhibition values. The cross-validation results showed that the weighted linear model was more accurate than the simple linear regression model. Thus, the QSAR approaches based on the affinity data of public databases should improve docking scores. © 2016 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA.

  3. Predicting automatic speech recognition performance over communication channels from instrumental speech quality and intelligibility scores

    NARCIS (Netherlands)

    Gallardo, L.F.; Möller, S.; Beerends, J.

    2017-01-01

    The performance of automatic speech recognition based on coded-decoded speech heavily depends on the quality of the transmitted signals, determined by channel impairments. This paper examines relationships between speech recognition performance and measurements of speech quality and intelligibility

  4. Joint modelling of longitudinal 3MS scores and the risk of mortality among cognitively impaired individuals.

    Directory of Open Access Journals (Sweden)

    Chris B Guure

    Full Text Available Modified Mini-Mental State Examination (3MS is an instrument administered by trained personnel to examine levels of participants' cognitive function. However, the association between changes in scores over time and the risk of death (mortality is not known. The aims of this study are to examine the association between 3MS scores and mortality via cognitive impairment among older women and to determine individuals' risk of changes in scores to better predict their survival and mortality rates.We propose a Bayesian joint modelling approach to determine mortality due to cognitive impairment via repeated measures of 3MS scores trajectories over a 21-year follow-up period. Data for this study are taken from the Osteoporotic Fracture longitudinal study among women aged 65+ which started in 1986-88.The standard relative risk model from the analyses with a baseline 3MS score after adjusting for all the significant covariates demonstrates that, every unit decrease in a 3MS score corresponds to a non-significant 1.059 increase risk of mortality with a 95% CI of (0.981, 1.143, while the extended model results in a significant 0.09% increased risk in mortality. The joint modelling approach found a strong association between the 3MS scores and the risk of mortality, such that, every unit decrease in 3MS scores results in a 1.135 (13% increased risk of death via cognitive impairment with a 95% CI of (1.056, 1.215.It has been demonstrated that a decrease in 3MS results has a significant increase risk of mortality due to cognitive impairment via joint modelling, but insignificant when considered under the standard relative risk approach.

  5. A score model for the continuous grading of early allograft dysfunction severity.

    Science.gov (United States)

    Pareja, Eugenia; Cortes, Miriam; Hervás, David; Mir, José; Valdivieso, Andrés; Castell, José V; Lahoz, Agustín

    2015-01-01

    Early allograft dysfunction (EAD) dramatically influences graft and patient outcomes. A lack of consensus on an EAD definition hinders comparisons of liver transplant outcomes and management of recipients among and within centers. We sought to develop a model for the quantitative assessment of early allograft function [Model for Early Allograft Function Scoring (MEAF)] after transplantation. A retrospective study including 1026 consecutive liver transplants was performed for MEAF score development. Multivariate data analysis was used to select a small number of postoperative variables that adequately describe EAD. Then, the distribution of these variables was mathematically modeled to assign a score for each actual variable value. A model, based on easily obtainable clinical parameters (ie, alanine aminotransferase, international normalized ratio, and bilirubin) and scoring liver function from 0 to 10, was built. The MEAF score showed a significant association with patient and graft survival at 3-, 6- and 12-month follow-ups. Hepatic steatosis and age for donors; cold/warm ischemia times and postreperfusion syndrome for surgery; and intensive care unit and hospital stays, Model for End-Stage Liver Disease and Child-Pugh scores, body mass index, and fresh frozen plasma transfusions for recipients were factors associated significantly with EAD. The model was satisfactorily validated by its application to an independent set of 200 patients who underwent liver transplantation at a different center. In conclusion, a model for the quantitative assessment of EAD severity has been developed and validated for the first time. The MEAF provides a more accurate graft function assessment than current categorical classifications and may help clinicians to make early enough decisions on retransplantation benefits. Furthermore, the MEAF score is a predictor of recipient and graft survival. The standardization of the criteria used to define EAD may allow reliable comparisons of

  6. 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.

    Science.gov (United States)

    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

  7. Funding Medical Research Projects: Taking into Account Referees' Severity and Consistency through Many-Faceted Rasch Modeling of Projects' Scores.

    Science.gov (United States)

    Tesio, Luigi; Simone, Anna; Grzeda, Mariuzs T; Ponzio, Michela; Dati, Gabriele; Zaratin, Paola; Perucca, Laura; Battaglia, Mario A

    2015-01-01

    The funding policy of research projects often relies on scores assigned by a panel of experts (referees). The non-linear nature of raw scores and the severity and inconsistency of individual raters may generate unfair numeric project rankings. Rasch measurement (many-facets version, MFRM) provides a valid alternative to scoring. MFRM was applied to the scores achieved by 75 research projects on multiple sclerosis sent in response to a previous annual call by FISM-Italian Foundation for Multiple Sclerosis. This allowed to simulate, a posteriori, the impact of MFRM on the funding scenario. The applications were each scored by 2 to 4 independent referees (total = 131) on a 10-item, 0-3 rating scale called FISM-ProQual-P. The rotation plan assured "connection" of all pairs of projects through at least 1 shared referee.The questionnaire fulfilled satisfactorily the stringent criteria of Rasch measurement for psychometric quality (unidimensionality, reliability and data-model fit). Arbitrarily, 2 acceptability thresholds were set at a raw score of 21/30 and at the equivalent Rasch measure of 61.5/100, respectively. When the cut-off was switched from score to measure 8 out of 18 acceptable projects had to be rejected, while 15 rejected projects became eligible for funding. Some referees, of various severity, were grossly inconsistent (z-std fit indexes less than -1.9 or greater than 1.9). The FISM-ProQual-P questionnaire seems a valid and reliable scale. MFRM may help the decision-making process for allocating funds to MS research projects but also in other fields. In repeated assessment exercises it can help the selection of reliable referees. Their severity can be steadily calibrated, thus obviating the need to connect them with other referees assessing the same projects.

  8. Polytomous IRT models and monotone likelihood ratio of the total score

    NARCIS (Netherlands)

    Hemker, BT; Sijtsma, Klaas; Molenaar, Ivo W; Junker, BW

    1996-01-01

    In a broad class of item response theory (IRT) models for dichotomous items the unweighted total score has monotone likelihood ratio (MLR) in the latent trait theta. In this study, it is shown that for polytomous items MLR holds for the partial credit model and a trivial generalization of this

  9. Assessing Impact, DIF, and DFF in Accommodated Item Scores: A Comparison of Multilevel Measurement Model Parameterizations

    Science.gov (United States)

    Beretvas, S. Natasha; Cawthon, Stephanie W.; Lockhart, L. Leland; Kaye, Alyssa D.

    2012-01-01

    This pedagogical article is intended to explain the similarities and differences between the parameterizations of two multilevel measurement model (MMM) frameworks. The conventional two-level MMM that includes item indicators and models item scores (Level 1) clustered within examinees (Level 2) and the two-level cross-classified MMM (in which item…

  10. Developmental Relations between Vocabulary Knowledge and Reading Comprehension: A Latent Change Score Modeling Study

    Science.gov (United States)

    Quinn, Jamie M.; Wagner, Richard K.; Petscher, Yaacov; Lopez, Danielle

    2015-01-01

    The present study followed a sample of first-grade (N = 316, M[subscript age] = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and…

  11. Divorce and Child Behavior Problems: Applying Latent Change Score Models to Life Event Data

    Science.gov (United States)

    Malone, Patrick S.; Lansford, Jennifer E.; Castellino, Domini R.; Berlin, Lisa J.; Dodge, Kenneth A.; Bates, John E.; Pettit, Gregory S.

    2004-01-01

    Effects of parents' divorce on children's adjustment have been studied extensively. This article applies new advances in trajectory modeling to the problem of disentangling the effects of divorce on children's adjustment from related factors such as the child's age at the time of divorce and the child's gender. Latent change score models were used…

  12. Quality of delivered care for people with type 2 diabetes: a new patient-centred model.

    Science.gov (United States)

    Tabrizi, Jafar S

    2009-12-28

    The quality of care from the perspective of people with Type 2 diabetes using a new model (CQMH) including three dimensions of quality in health care (Technical, Service and Customer Quality) was assessed. A cross-sectional survey with a sample of 577 people with Type 2 diabetes was conducted. Measures were self-reported adherence to national guidelines for technical quality, the Netherlands Institute for Health Services Research questionnaire for service quality and the short form of the Patient Activation Measure for Customer Quality. There was a significant gap in technical quality between what diabetes care the patients reported receiving and what was recommended in the guideline, particularly for management and lifestyle aspects. For service quality, the lowest scores were for choice of care provider and accessibility of care. The mean Customer Quality score was 64.5 (meaning higher score indicating better quality). A positive relationship was demonstrated between higher technical, service and customer quality scores, and better diabetes control status as well as maintaining continuity of care. The average Quality Index was 70.0 of a 0-100 scale. Customer Quality appears to be a useful third dimension in conceptualising quality in health care, particularly in the context of chronic disease, where good self-management can improve the outcomes of care. A high proportion of Queensland adults with Type 2 diabetes reported receiving suboptimal care in the majority aspects of provided care services as reflected in the overall Quality Index score indicating substantial room for quality improvement.

  13. Existing Model Metrics and Relations to Model Quality

    OpenAIRE

    Mohagheghi, Parastoo; Dehlen, Vegard

    2009-01-01

    This paper presents quality goals for models and provides a state-of-the-art analysis regarding model metrics. While model-based software development often requires assessing the quality of models at different abstraction and precision levels and developed for multiple purposes, existing work on model metrics do not reflect this need. Model size metrics are descriptive and may be used for comparing models but their relation to model quality is not welldefined. Code metrics are proposed to be ...

  14. The ARIA score of allergic rhinitis using mobile technology correlates with quality-of-life

    DEFF Research Database (Denmark)

    Bousquet, J; Arnavielhe, S; Bedbrook, A

    2018-01-01

    Mobile technology has been used to appraise allergic rhinitis control but more data are needed. In order to better assess the importance of mobile technologies in rhinitis control, the ARIA (Allergic Rhinitis and its Impact on Asthma) score ranging from 0 to 4 of the Allergy Diary was compared wi...

  15. Pronuclear scoring as a predictor of embryo quality in in vitro fertilization program.

    Directory of Open Access Journals (Sweden)

    Piotr Jedrzejczak

    2008-04-01

    Full Text Available Many strategies have been proposed for the selection of viable embryos for transfer in human assisted reproduction. These have included morphological scoring criteria for 20, 28, 44 and 68 h after insemination. The embryo selection is based on morphology, degree of fragmentation and development to the 8-cell. All have shown some correlation with implantation. However, the overall success of these methods is still limited, with over 50% of all transferred embryos failing to implant. Pronuclear zygote morphology has gained much attention recently due to its positive value in predicting implantation and pregnancy. This prospective study involved 178 conventional IVF patients only. The key aspects of pronuclear scoring and namely the presence of a cytoplasmic halo were related to day 3 of development and morphology in a retrospective study. The Z-score and the presence/absence of a halo had significant effect on the rate of development on day 3 embryo. Low Z-score result in slow development and poor morphology. The absence of a halo also resulted in slow and poor development, low morphology, increased fragmentation.

  16. Age-Related Differences in Quality of Standing Balance Using a Composite Score

    NARCIS (Netherlands)

    Pasma, J.H.; Bijlsma, A.Y.; van der Bij, M.D.W.; Arendzen, J.H.; Meskers, C.G.M.; Maier, A.B.

    2014-01-01

    Background: Age-related differences in standing balance are not detected by testing the ability to maintain balance. Quality of standing balance might be more sensitive to detect age-related differences. Objective: To study age-related differences in quality of standing balance, center of pressure

  17. Translation and validation of the Danish version of the postoperative quality of recovery score QoR-15

    DEFF Research Database (Denmark)

    Kleif, J; Edwards, H M; Sort, R

    2015-01-01

    BACKGROUND: Patient perceived quality of recovery is an important outcome after surgery and should be measured in clinical trials. Quality of recovery after surgery and general anaesthesia can be measured by the QoR-15. A high score indicates a good recovery and the score ranges from 0 to 150....... The aim of this study was to translate the QoR-15 questionnaire into Danish and do a full psychometric evaluation of the Danish version. METHODS: A translation and cultural adaption of the original version of the QoR-15 into a Danish version, the QoR-15D, was performed. After obtaining consent, patients.......94-1.00). Cohen's effect size was 1.13 and the standardized response mean was 0.82. CONCLUSION: The QoR-15D has preserved the validity, excellent reliability, high degree of responsiveness and the clinical feasibility of the original English version....

  18. Get the most from your data: a propensity score model comparison on real-life data

    Directory of Open Access Journals (Sweden)

    Ferdin

    2016-05-01

    Full Text Available Dennis Ferdinand,1 Mirko Otto,2 Christel Weiss1 1Department of Biomathematics and Medical Statistics, 2Department of Surgery, University Medical Center Mannheim (UMM, University of Heidelberg, Mannheim, Germany Purpose: In the past, the propensity score has been in the middle of several discussions in terms of its abilities and limitations. With a comprehensive review and a practical example, this study examines the effect of propensity score analysis of real-life data and introduces a simple and effective clinical approach. Materials and methods: After the authors reviewed current publications, they applied their insights to the data of a nonrandomized clinical trial in bariatric surgery. This study examined weight loss in 173 patients where 127 patients received Roux-en-Y gastric bypass surgery and 46 patients sleeve gastrectomy. Both groups underwent analysis in terms of their covariate distribution using Mann–Whitney U and χ2 testing. Mean differences within excess weight loss in native data were examined with Student’s t-test. Three propensity score models were defined and matching was performed. Covariate distribution and mean differences in excess weight loss were checked with Mann–Whitney U and χ2 testing. Results: Native data implied a significant difference in excess weight loss. The propensity score models did not confirm this difference. All models proved that both surgical procedures were equal, due to their weight-loss induction. Covariate distribution improved after the matching procedure in terms of an equal distribution. Conclusion: It seemed that a practical clinical approach with outcome-related covariates as a propensity score base is the ideal midpoint between an equal distribution in covariates and an acceptable loss of data. Nevertheless, propensity score models designed with clinical intent seemed to be absolutely suitable for overcoming heterogeneity in covariate distribution. Keywords: nonrandomized clinical

  19. Attention modeling for video quality assessment

    DEFF Research Database (Denmark)

    You, Junyong; Korhonen, Jari; Perkis, Andrew

    2010-01-01

    averaged spatiotemporal pooling. The local quality is derived from visual attention modeling and quality variations over frames. Saliency, motion, and contrast information are taken into account in modeling visual attention, which is then integrated into IQMs to calculate the local quality of a video frame...

  20. Predicting performance and injury resilience from movement quality and fitness scores in a basketball team over 2 years.

    Science.gov (United States)

    McGill, Stuart M; Andersen, Jordan T; Horne, Arthur D

    2012-07-01

    The purpose of this study was to see if specific tests of fitness and movement quality could predict injury resilience and performance in a team of basketball players over 2 years (2 playing seasons). It was hypothesized that, in a basketball population, movement and fitness scores would predict performance scores and that movement and fitness scores would predict injury resilience. A basketball team from a major American university (N = 14) served as the test population in this longitudinal trial. Variables linked to fitness, movement ability, speed, strength, and agility were measured together with some National Basketball Association (NBA) combine tests. Dependent variables of performance indicators (such as games and minutes played, points scored, assists, rebounds, steal, and blocks) and injury reports were tracked for the subsequent 2 years. Results showed that better performance was linked with having a stiffer torso, more mobile hips, weaker left grip strength, and a longer standing long jump, to name a few. Of the 3 NBA combine tests administered here, only a faster lane agility time had significant links with performance. Some movement qualities and torso endurance were not linked. No patterns with injury emerged. These observations have implications for preseason testing and subsequent training programs in an attempt to reduce future injury and enhance playing performance.

  1. Hong Kong men with low incomes have worse health-related quality of life as judged by SF-36 scores.

    Science.gov (United States)

    Ko, G T C; Wai, H P S; Tsang, P C C; Chan, H C K

    2006-10-01

    To analyse the association between income and health-related quality of life using the Medical Outcome Study Short Form 36 (SF-36) Chinese version in Hong Kong Chinese working population. Cross-sectional observation study. A commercial company in Hong Kong. All clerical and administrative staff of a commercial company was invited to participate; 876 of the 1003 staff agreed. The subjects were categorised into three income groups according to monthly income in Hong Kong dollars (low, 10,000-25,000; high, >25,000). The mean age of the 288 men and 588 women was 34.9 (standard deviation, 7.9; median, 34.0; range, 18-71) years. SF-36 scores on health-related quality of life. The distribution of income was 30% in high-, 54.8% in middle-, and 15.2% in low-income groups. Women had similar SF-36 scores among different income groups. In men, for most variables there was a significant positive linear correlation between income and SF-36 scores. Low income is associated with a worse health-related quality of life in Hong Kong Chinese men.

  2. Potential impact of the digestible indispensable amino acid score as a measure of protein quality on dietary regulations and health.

    Science.gov (United States)

    Marinangeli, Christopher P F; House, James D

    2017-08-01

    Regulatory frameworks for protein content claims in Canada and the United States are underpinned by the protein efficiency ratio and protein digestibility-corrected amino acid score (PDCAAS), respectively, which are used to assess the protein quality of a given food. The digestible indispensable amino acid score (DIAAS) is a novel approach to measuring the protein quality of foods and is supported by the Food and Agriculture Organization of the United Nations. Methodological concerns about the PDCAAS are addressed by the DIAAS through introduction of the use of ileal amino acid digestibility coefficients and untruncated protein scores. However, before the DIAAS is widely adopted within regulatory frameworks, a comprehensive assessment is required. Accordingly, this review addresses the potential impact of the DIAAS on regulation, communication, and public health, as well as knowledge gaps, analytical challenges, and cost of implementation. A pragmatic approach to addressing protein quality is advocated by suggesting the use of conservative coefficients of digestibility that are derived from in vitro methods. Before adopting the DIAAS as a framework for supporting protein content claims, updated food-related regulations and policies should also be evaluated through a lens that anticipates the impact on consumer-facing nutrition communication, the adoption of dietary patterns that are nutritionally adequate, and a food value chain that fosters a spirit of food and nutritional innovation. © The Author(s) 2017. Published by Oxford University Press on behalf of the International Life Sciences Institute.

  3. Community Multiscale Air Quality Modeling System (CMAQ)

    Science.gov (United States)

    CMAQ is a computational tool used for air quality management. It models air pollutants including ozone, particulate matter and other air toxics to help determine optimum air quality management scenarios.

  4. Patients' experiences of the quality of long-term care among the elderly: comparing scores over time

    Directory of Open Access Journals (Sweden)

    Zuidgeest Marloes

    2012-01-01

    Full Text Available Abstract Background Every two years, long-term care organizations for the elderly are obliged to evaluate and publish the experiences of residents, representatives of psychogeriatric patients, and/or assisted-living clients with regard to quality of care. Our hypotheses are that publication of this quality information leads to improved performance, and that organizations with substandard performance will improve more than those whose performance is relatively good. Methods The analyses included organizational units that measured experiences twice between 2007 (t0 and 2009 (t1. Experiences with quality of care were measured with Consumer Quality Index (CQI questionnaires. Besides descriptive analyses (i.e. mean, 5th and 95th percentile, and 90% central range of the 19 CQI indicators and change scores of these indicators were calculated. Differences across five performance groups (ranging from 'worst' to 'best' were tested using an ANOVA test and effect sizes were measured with omega squared (ω2. Results At t0 experiences of residents, representatives, and assisted-living clients were positive on all indicators. Nevertheless, most CQI indicators had improved scores (up to 0.37 change score at t1. Only three indicators showed a minor decline (up to -0.08 change score. Change scores varied between indicators and questionnaires, e.g. they were more profound for the face-to-face interview questionnaire for residents in nursing homes than for the other two mail questionnaires (0.15 vs. 0.05 and 0.04, respectively, possibly due to more variation between nursing homes on the first measurement, perhaps indicating more potential for improvement. A negative relationship was found between prior performance and change, particularly with respect to the experiences of residents (ω2 = 0.16 and assisted-living clients (ω2 = 0.15. However, the relation between prior performance and improvement could also be demonstrated with respect to the experiences reported

  5. Risk score prediction model for dementia in patients with type 2 diabetes.

    Science.gov (United States)

    Li, Chia-Ing; Li, Tsai-Chung; Liu, Chiu-Shong; Liao, Li-Na; Lin, Wen-Yuan; Lin, Chih-Hsueh; Yang, Sing-Yu; Chiang, Jen-Huai; Lin, Cheng-Chieh

    2018-03-30

    No study established a prediction dementia model in the Asian populations. This study aims to develop a prediction model for dementia in Chinese type 2 diabetes patients. This retrospective cohort study included 27,540 Chinese type 2 diabetes patients (aged 50-94 years) enrolled in Taiwan National Diabetes Care Management Program. Participants were randomly allocated into derivation and validation sets at 2:1 ratio. Cox proportional hazards regression models were used to identify risk factors for dementia in the derivation set. Steps proposed by Framingham Heart Study were used to establish a prediction model with a scoring system. The average follow-up was 8.09 years, with a total of 853 incident dementia cases in derivation set. Dementia risk score summed up the individual scores (from 0 to 20). The areas under curve of 3-, 5-, and 10-year dementia risks were 0.82, 0.79, and 0.76 in derivation set and 0.84, 0.80, and 0.75 in validation set, respectively. The proposed score system is the first dementia risk prediction model for Chinese type 2 diabetes patients in Taiwan. This article is protected by copyright. All rights reserved. This article is protected by copyright. All rights reserved.

  6. The PQUAL Open System Quality Model

    Directory of Open Access Journals (Sweden)

    Cristian IONITA

    2012-01-01

    Full Text Available Quality assessment of open business enterprise systems is very important because those plat-forms play a central role in the organizations that implement them. The current paper proposes a new easily applicable software quality model called PQUAL that evaluates the quality of such systems. The quality characteristics are identified and analyzed using the ISO/IEC 9126 international standard as a starting point. The paper develops metrics to measure the quality level for the characteristics. The PQUAL model is applied to compare the quality of the DocuMentor and YAWL platforms.

  7. Effect of Coexisting Pelvic Floor Disorders on Fecal Incontinence Quality of Life Scores: A Prospective, Survey-Based Study.

    Science.gov (United States)

    Bordeianou, Liliana; Hicks, Caitlin W; Olariu, Adriana; Savitt, Lieba; Pulliam, Samantha J; Weinstein, Milena; Rockwood, Todd; Sylla, Patricia; Kuo, James; Wakamatsu, May

    2015-11-01

    The association between an objective measure of fecal incontinence severity and patient-reported quality of life is poorly understood. The purpose of this study was to evaluate patients with various degrees of fecal incontinence to determine whether their quality of life as measured by the Fecal Incontinence Quality of Life Scale is affected by coexisting pelvic floor disorders. This was a prospective, survey-based study. The study was conducted at a tertiary pelvic floor disorders center. Included patients were all of those presenting between January 2007 and March 2014. Survey data were analyzed to determine the association between Fecal Incontinence Severity Index and Fecal Incontinence Quality of Life Scale, as well as scores from the Constipation Severity Instrument, Pelvic Floor Impact Questionnaire, Pelvic Organ Distress Inventory, and Urinary Distress Inventory. A total of 585 patients reported fecal incontinence ranging from none (n = 191) to mild/moderate (n = 159) to severe (n = 235). As expected, patients with severe fecal incontinence have worse scores on all fecal incontinence quality-of-life subscales (lifestyle, coping/behavior, depression/self-perception, and embarrassment) and worse colorectal/anal symptoms than those with mild/moderate or no fecal incontinence (p Pelvic organ prolapse and constipation symptoms were similar between groups (p ≥ 0.61). After correcting for baseline differences in patient comorbidities and bladder/urinary symptoms, a significant association persisted between Fecal Incontinence Severity Index and all of the subscales of the fecal incontinence quality-of-life instrument (p measuring both fecal and urinary incontinence. This underscores the importance of quantifying the presence or absence of coexistent urinary leakage in studies where a drop in fecal incontinence quality of life is considered a primary end point.

  8. Patients with tattoo reactions have reduced quality of life and suffer from itch: Dermatology Life Quality Index and Itch Severity Score measurements.

    Science.gov (United States)

    Hutton Carlsen, K; Serup, J

    2015-02-01

    Tattoos are a trend with increasing side-effects. The burden of local reaction with swelling, itching and discomfort may impel sufferers to consult medical assistance. To assess tattoo reactions and their influence on quality of life and itching by utilizing the Dermatology Life Quality Index (DLQI) scoring system and Itch Severity Scale (ISS). Patients attending the 'Tattoo Clinic' at Bispebjerg University Hospital, Denmark with tattoo problems spanning more than 3 months were invited. Forty patients participated during September-November 2012. Patients attending their routine consultations completed the ISS and DLQI questionnaires. Patients with tattoo reactions experienced reduced quality of life, DLQI score 7.4 and were burdened by itch, ISS score 7.2. Both DLQI and ISS results attained the level of discomfort of known skin diseases such as psoriasis, pruritus and eczema albeit the typical tattooed affected areas are smaller. Sufferers of tattoo reactions have reduced quality of life and are often burdened by itching attaining the level of other cumbersome afflictions recognized as dermatological diseases associated with itch. Tattoo reactions warrant diagnosis and treatment with same professional intent shared with other skin diseases. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  9. Get the most from your data: a propensity score model comparison on real-life data.

    Science.gov (United States)

    Ferdinand, Dennis; Otto, Mirko; Weiss, Christel

    2016-01-01

    In the past, the propensity score has been in the middle of several discussions in terms of its abilities and limitations. With a comprehensive review and a practical example, this study examines the effect of propensity score analysis of real-life data and introduces a simple and effective clinical approach. After the authors reviewed current publications, they applied their insights to the data of a nonrandomized clinical trial in bariatric surgery. This study examined weight loss in 173 patients where 127 patients received Roux-en-Y gastric bypass surgery and 46 patients sleeve gastrectomy. Both groups underwent analysis in terms of their covariate distribution using Mann-Whitney U and χ (2) testing. Mean differences within excess weight loss in native data were examined with Student's t-test. Three propensity score models were defined and matching was performed. Covariate distribution and mean differences in excess weight loss were checked with Mann-Whitney U and χ (2) testing. Native data implied a significant difference in excess weight loss. The propensity score models did not confirm this difference. All models proved that both surgical procedures were equal, due to their weight-loss induction. Covariate distribution improved after the matching procedure in terms of an equal distribution. It seemed that a practical clinical approach with outcome-related covariates as a propensity score base is the ideal midpoint between an equal distribution in covariates and an acceptable loss of data. Nevertheless, propensity score models designed with clinical intent seemed to be absolutely suitable for overcoming heterogeneity in covariate distribution.

  10. Association between diet-quality scores, adiposity, total cholesterol and markers of nutritional status in european adults: Findings from the Food4Me study

    NARCIS (Netherlands)

    Fallaize, R.; Livingstone, K.M.; Celis-Morales, C.; Macready, A.L.; San-Cristobal, R.; Navas-Carretero, S.; Marsaux, C.F.M.; O’Donovan, C.B.; Kolossa, S.; Moschonis, G.; Walsh, M.C.; Gibney, E.R.; Brennan, L.; Bouwman, J.; Manios, Y.; Jarosz, M.; Martinez, J.A.; Daniel, H.; Saris, W.H.M.; Gundersen, T.E.; Drevon, C.A.; Gibney, M.J.; Mathers, J.C.; Lovegrove, J.A.

    2018-01-01

    Diet-quality scores (DQS), which are developed across the globe, are used to define adherence to specific eating patterns and have been associated with risk of coronary heart disease and type-II diabetes. We explored the association between five diet-quality scores (Healthy Eating Index, HEI;

  11. Risk modelling of outcome after general and trauma surgery (the IRIS score)

    NARCIS (Netherlands)

    Liebman, B.; Strating, R.P.; van Wieringen, W.N.; Mulder, W.; Oomen, J.L.T.; Engel, AF

    2010-01-01

    Background: A practical, easy to use model was developed to stratify risk groups in surgical patients: the Identification of Risk In Surgical patients (IRIS) score. Methods: Over 15 years an extensive database was constructed in a general surgery unit, containing all patients who underwent general

  12. The Sensitivity of Value-Added Modeling to the Creation of a Vertical Score Scale

    Science.gov (United States)

    Briggs, Derek C.; Weeks, Jonathan P.

    2009-01-01

    The purpose of this study was to evaluate the sensitivity of growth and value-added modeling to the way an underlying vertical score scale has been created. Longitudinal item-level data were analyzed with both student- and school-level identifiers for the entire state of Colorado between 2003 and 2006. Eight different vertical scales were…

  13. Evaluation of Two Methods for Modeling Measurement Errors When Testing Interaction Effects with Observed Composite Scores

    Science.gov (United States)

    Hsiao, Yu-Yu; Kwok, Oi-Man; Lai, Mark H. C.

    2018-01-01

    Path models with observed composites based on multiple items (e.g., mean or sum score of the items) are commonly used to test interaction effects. Under this practice, researchers generally assume that the observed composites are measured without errors. In this study, we reviewed and evaluated two alternative methods within the structural…

  14. Incremental Validity of Multidimensional Proficiency Scores from Diagnostic Classification Models: An Illustration for Elementary School Mathematics

    Science.gov (United States)

    Kunina-Habenicht, Olga; Rupp, André A.; Wilhelm, Oliver

    2017-01-01

    Diagnostic classification models (DCMs) hold great potential for applications in summative and formative assessment by providing discrete multivariate proficiency scores that yield statistically driven classifications of students. Using data from a newly developed diagnostic arithmetic assessment that was administered to 2032 fourth-grade students…

  15. Three-dimensional (3-D) Circumplex Model and revised scoring of FACES III.

    Science.gov (United States)

    Olson, D H

    1991-03-01

    FACES III can, however, continue to be a useful scale now that the Circumplex Model has been expanded into a three-dimensional design. Past and future studies would benefit from using FACES III as a linear dimension with high scores representing Balanced types and low scores representing Extreme types. This approach means that many past studies with FACES III need to be re-analyzed and/or re-interpreted in light of this 3-D Model. This revised scoring will significantly increase the number of studies that support the basic hypotheses of the Circumplex model, that Balanced families tend to function in more effective ways. It is clear from more recent work with the Clinical Rating Scale (CRS) that the lack of support for the curvilinear hypotheses of the Circumplex Model is due to the limitations of the FACES instrument and not the underlying theoretical model. The CRS clearly demonstrated the curvilinear pattern that has been hypothesized. It is important that future studies using FACES III analyze data in a linear way that fits with the three-dimensional model. In this way, there is a better match conceptually and methodologically between FACES III and the Circumplex Model. It is also highly recommended that future studies use both the self-report of FACES and the observational approaches to family assessment of the Clinical Rating Scale. This combined approach will help advance the field conceptually, methodologically, and clinically.

  16. Estimation of genotype X environment interactions, in a grassbased system, for milk yield, body condition score,and body weight using random regression models

    NARCIS (Netherlands)

    Berry, D.P.; Buckley, F.; Dillon, P.; Evans, R.D.; Rath, M.; Veerkamp, R.F.

    2003-01-01

    (Co)variance components for milk yield, body condition score (BCS), body weight (BW), BCS change and BW change over different herd-year mean milk yields (HMY) and nutritional environments (concentrate feeding level, grazing severity and silage quality) were estimated using a random regression model.

  17. A New Explanation and Proof of the Paradoxical Scoring Results in Multidimensional Item Response Models.

    Science.gov (United States)

    Jordan, Pascal; Spiess, Martin

    2017-10-13

    In multidimensional item response models, paradoxical scoring effects can arise, wherein correct answers are penalized and incorrect answers are rewarded. For the most prominent class of IRT models, the class of linearly compensatory models, a general derivation of paradoxical scoring effects based on the geometry of item discrimination vectors is given, which furthermore corrects an error in an established theorem on paradoxical results. This approach highlights the very counterintuitive way in which item discrimination parameters (and also factor loadings) have to be interpreted in terms of their influence on the latent ability estimate. It is proven that, despite the error in the original proof, the key result concerning the existence of paradoxical effects remains true-although the actual relation to the item parameters is shown to be a more complicated function than previous results suggested. The new proof enables further insights into the actual mathematical causation of the paradox and generalizes the findings within the class of linearly compensatory models.

  18. Credit risk assessment model for Jordanian commercial banks: Neural scoring approach

    Directory of Open Access Journals (Sweden)

    Hussain Ali Bekhet

    2014-01-01

    Full Text Available Despite the increase in the number of non-performing loans and competition in the banking market, most of the Jordanian commercial banks are reluctant to use data mining tools to support credit decisions. Artificial neural networks represent a new family of statistical techniques and promising data mining tools that have been used successfully in classification problems in many domains. This paper proposes two credit scoring models using data mining techniques to support loan decisions for the Jordanian commercial banks. Loan application evaluation would improve credit decision effectiveness and control loan office tasks, as well as save analysis time and cost. Both accepted and rejected loan applications, from different Jordanian commercial banks, were used to build the credit scoring models. The results indicate that the logistic regression model performed slightly better than the radial basis function model in terms of the overall accuracy rate. However, the radial basis function was superior in identifying those customers who may default.

  19. [Establishing a team-scoring model for socio-emotional development of patients with intellectual disabilities].

    Science.gov (United States)

    Elstner, Samuel; Diefenbacher, Albert; Heinrich, Manuel

    2015-01-01

    We know from daily experience in the care of people with intellectual disabilities that the usually applied bio-psycho-social model is not sufficient in the psychiatric treatment of that patient-group. A fourth dimension considering cognitive and socio-emotional development should be added. A specific algorithm for evaluating the emotional level of a person (called "SEO") has demonstrated its effectiveness. Aim of this study is to test its feasibility in everyday practice in a hospital team of a psychiatric ward. The SEO was used to evaluate 18 patients with intellectual disability by a multi-professional team in a psychiatric hospital ward. The time for completing the SEO was measured within a time period of 8 weeks. Additionally, the influence on patients' problem behaviour in the time period after completion of the SEO was measured. The average time needed for completing one SEO was 11 minutes. After the second week, there was no further shortening of the time necessary for completion of the SEO, nor was their any further improvement in the quality of scoring the SEO by the team. After completion of the SEO, behavioral problems of the patients improved significantly in the following time period. The SEO seems to be time-economic and feasible for evaluating the socio-emotional development, which can be well integrated in the routine of a psychiatric hospital team. The benefit for patients is the significant reduction of problem behaviour after SEO-evaluation in general. © Georg Thieme Verlag KG Stuttgart · New York.

  20. A score system for quality evaluation of RNA sequence tags: an improvement for gene expression profiling.

    Science.gov (United States)

    Pinheiro, Daniel G; Galante, Pedro A F; de Souza, Sandro J; Zago, Marco A; Silva, Wilson A

    2009-06-06

    High-throughput molecular approaches for gene expression profiling, such as Serial Analysis of Gene Expression (SAGE), Massively Parallel Signature Sequencing (MPSS) or Sequencing-by-Synthesis (SBS) represent powerful techniques that provide global transcription profiles of different cell types through sequencing of short fragments of transcripts, denominated sequence tags. These techniques have improved our understanding about the relationships between these expression profiles and cellular phenotypes. Despite this, more reliable datasets are still necessary. In this work, we present a web-based tool named S3T: Score System for Sequence Tags, to index sequenced tags in accordance with their reliability. This is made through a series of evaluations based on a defined rule set. S3T allows the identification/selection of tags, considered more reliable for further gene expression analysis. This methodology was applied to a public SAGE dataset. In order to compare data before and after filtering, a hierarchical clustering analysis was performed in samples from the same type of tissue, in distinct biological conditions, using these two datasets. Our results provide evidences suggesting that it is possible to find more congruous clusters after using S3T scoring system. These results substantiate the proposed application to generate more reliable data. This is a significant contribution for determination of global gene expression profiles. The library analysis with S3T is freely available at http://gdm.fmrp.usp.br/s3t/. S3T source code and datasets can also be downloaded from the aforementioned website.

  1. An empirical Bayes model using a competition score for metabolite identification in gas chromatography mass spectrometry

    Directory of Open Access Journals (Sweden)

    Kim Seongho

    2011-10-01

    Full Text Available Abstract Background Mass spectrometry (MS based metabolite profiling has been increasingly popular for scientific and biomedical studies, primarily due to recent technological development such as comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry (GCxGC/TOF-MS. Nevertheless, the identifications of metabolites from complex samples are subject to errors. Statistical/computational approaches to improve the accuracy of the identifications and false positive estimate are in great need. We propose an empirical Bayes model which accounts for a competing score in addition to the similarity score to tackle this problem. The competition score characterizes the propensity of a candidate metabolite of being matched to some spectrum based on the metabolite's similarity score with other spectra in the library searched against. The competition score allows the model to properly assess the evidence on the presence/absence status of a metabolite based on whether or not the metabolite is matched to some sample spectrum. Results With a mixture of metabolite standards, we demonstrated that our method has better identification accuracy than other four existing methods. Moreover, our method has reliable false discovery rate estimate. We also applied our method to the data collected from the plasma of a rat and identified some metabolites from the plasma under the control of false discovery rate. Conclusions We developed an empirical Bayes model for metabolite identification and validated the method through a mixture of metabolite standards and rat plasma. The results show that our hierarchical model improves identification accuracy as compared with methods that do not structurally model the involved variables. The improvement in identification accuracy is likely to facilitate downstream analysis such as peak alignment and biomarker identification. Raw data and result matrices can be found at http

  2. CREDIT SCORING MODELS IN ESTIMATING THE CREDITWORTHINESS OF SMALL AND MEDIUM AND BIG ENTERPRISES

    OpenAIRE

    Zenzerović, Robert

    2011-01-01

    This paper is focused on estimating the credit scoring models for companies operating in the Republic of Croatia. According to level of economic and legal development, especially in the area of bankruptcy regulation as well as business ethics in the Republic of Croatia, the models derived can be applied in wider region particularly in South-eastern European countries that twenty years ago transferred from state directed to free market economy. The purpose of this paper is to emphasize the rel...

  3. Genetic Analysis of Somatic Cell Score in Danish Holsteins Using a Liability-Normal Mixture Model

    DEFF Research Database (Denmark)

    Madsen, P; Shariati, M M; Ødegård, J

    2008-01-01

    Mixture models are appealing for identifying hidden structures affecting somatic cell score (SCS) data, such as unrecorded cases of subclinical mastitis. Thus, liability-normal mixture (LNM) models were used for genetic analysis of SCS data, with the aim of predicting breeding values for such cases......- udders relative to SCS from IMI+ udders. Further, the genetic correlation between SCS of IMI- and SCS of IMI+ was 0.61, and heritability for liability to putative mastitis was 0.07. Models B2 and C allocated approximately 30% of SCS records to IMI+, but for model B1 this fraction was only 10......%. The correlation between estimated breeding values for liability to putative mastitis based on the model (SCS for model A) and estimated breeding values for liability to clinical mastitis from the national evaluation was greatest for model B1, followed by models A, C, and B2. This may be explained by model B1...

  4. Health-related quality of life and utility scores in short-term survivors of pediatric acute lymphoblastic leukemia.

    Science.gov (United States)

    van Litsenburg, Raphaële R L; Huisman, Jaap; Raat, Hein; Kaspers, Gertjan J L; Gemke, Reinoud J B J

    2013-04-01

    Increase of survival in pediatric acute lymphoblastic leukemia (ALL) has made outcomes such as health-related quality of life (HRQL) and economic burden more important. To make informed decisions on the use of healthcare resources, costs as well as utilities need to be taken into account. Among the preference-based HRQL instruments, the Health Utilities Index (HUI) is the most employed in pediatric cancer. Information on utility scores during ALL treatment and in long-term survivors is available, but utility scores in short-term survivors are lacking. This study assesses utility scores, health state, and HRQL in short-term (6 months to 4 years) ALL survivors. Cross-sectional single-center cohort study of short-term ALL survivors using HUI3 proxy assessments. Thirty-three survivors (median 1.5 years off treatment) reported 14 unique health states. The majority of survivors (61 %) enjoyed a perfect health, but 21 % had three affected attributes. Overall, HRQL was nonsignificantly lower compared to the norm, although the difference was large and may be clinically relevant. Cognition was significantly impaired (p = 0.03). Although 61 % of short-term survivors of ALL report no impairment, the health status of the other patients lead to a clinically important impaired HRQL compared to norms. Prospective studies assessing utility scores associated with pediatric ALL should be performed, enabling valid and reliable cost-utility analyses for policy makers to make informed decisions.

  5. HEMS in Slovenia: one country, four models, different quality outcomes.

    Science.gov (United States)

    Klemenc-Ketis, Zalika; Tomazin, Iztok; Kersnik, Janko

    2012-01-01

    The objective of this study was to determine the quality of patient care using quality indicators in 4 different Slovenian helicopter emergency medical service (HEMS) models. This was a cross-sectional study of all 4 HEMS in Slovenia. We collected data on quality for the period from July 2003 to August 2008, in a sample of all eligible patients that were managed by HEMS during the study period (N = 833). We obtained the following data on emergency operations: the time and organizational features of the operation; the description of the patients' condition; and the on-site diagnostic and treatment procedures. We used the following as quality indicators: the number of resuscitated patients that were intubated; the number of patients with a Glasgow Coma Scale (GCS) score of # 8 that were intubated; the number of patients with acute coronary syndrome that received treatment with morphine, oxygen, nitroglycerine, and aspirin (MONA); the number of patients with a National Advisory Committee on Aeronautics (NACA) scale score of $ 4 with an intravenous line; the number of patients with a NACA score of $ 5 that were given oxygen; and the number of patients with a NACA score of $ 4 that were given appropriate analgesic treatment. Across all HEMS bases, 36 (87.8%) resuscitated patients were intubated; 122 (81.9%) patients with GCS # 8 were intubated; 149 (89.2%) patients with ACS were given MONA treatment; 52 (92.9%) patients with a NACA score of $ 4 were given an intravenous line; 254 (92.7%) patients with a NACA score of $ 5 were given oxygen; and 18 (32.7%) trauma patients with a NACA score of $ 4 were given intravenous analgesics. The quality of patient management in HEMS in Slovenia is affected by the callout procedure, the presence or absence of a fixed rope, the type of helicopter operator, and the provider of the doctor in the helicopter team. The data from our study indicates that the quality of patient management in HEMS in Slovenia is high. It also seems that

  6. Developing a TQM quality management method model

    NARCIS (Netherlands)

    Zhang, Zhihai

    1997-01-01

    From an extensive review of total quality management literature, the external and internal environment affecting an organization's quality performance and the eleven primary elements of TQM are identified. Based on the primary TQM elements, a TQM quality management method model is developed. This

  7. Simplified model for end-stage liver disease score predicts mortality for tricuspid valve surgery†

    Science.gov (United States)

    Tsuda, Kazumasa; Koide, Masaaki; Kunii, Yoshifumi; Watanabe, Kazumasa; Miyairi, Satoshi; Ohashi, Yuko; Harada, Takashi

    2013-01-01

    OBJECTIVES The model for end-stage liver disease score (MELD = 3.8*LN[total bilirubin] + 9.6*LN[creatinine] + 11.2*[PT-INR] + 6.4) predicts mortality for tricuspid valve surgery. However, the MELD is problematic in patients undergoing warfarin therapy, as warfarin affects the international normalized ratio (INR). This study aimed to determine whether a simplified MELD score that does not require the INR for calculation could predict mortality for patients undergoing tricuspid valve surgery. Simplified MELD METHODS A total of 172 patients (male: 66, female: 106; mean age, 63.8 ± 10.3 years) who underwent tricuspid replacement (n = 18) or repair (n = 154) from January 1991 to July 2011 at a single centre were included. Of them, 168 patients in whom the simplified MELD score could be calculated were retrospectively analysed. The relationship between in-hospital mortality and perioperative variables was assessed by univariate and multivariate analysis. RESULTS The rate of in-hospital mortality was 6.4%. The mean admission simplified MELD score for the patients who died was significantly higher than for those surviving beyond discharge (11.3 ± 4.1 vs 5.8 ± 4.0; P = 0.001). By multivariate analysis, independent risk factors for in-hospital mortality included higher simplified MELD score (P = 0.001) and tricuspid valve replacement (P = 0.023). In-hospital mortality and morbidity increased along with increasing simplified MELD score. Scores 14 were associated with mortalities of 0, 2.0, 8.3 and 66.7%, respectively. The incidence of serious complications (multiple organ failure, P = 0.005; prolonged ventilation, P = 0.01; need for haemodialysis; P = 0.002) was also significantly higher in patients with simplified MELD score ≥7. CONCLUSIONS The simplified MELD score predicts mortality in patients undergoing tricuspid valve surgery. This model requires only total bilirubin and creatinine and is therefore applicable in patients undergoing warfarin therapy. PMID:23403770

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

    Directory of Open Access Journals (Sweden)

    Yoshikazu Kobayashi

    2010-04-01

    Full Text Available 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.

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

    Science.gov (United States)

    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

  10. Establishment of a general NAFLD scoring system for rodent models and comparison to human liver pathology.

    Directory of Open Access Journals (Sweden)

    Wen Liang

    Full Text Available The recently developed histological scoring system for non-alcoholic fatty liver disease (NAFLD by the NASH Clinical Research Network (NASH-CRN has been widely used in clinical settings, but is increasingly employed in preclinical research as well. However, it has not been systematically analyzed whether the human scoring system can directly be converted to preclinical rodent models. To analyze this, we systematically compared human NAFLD liver pathology, using human liver biopsies, with liver pathology of several NAFLD mouse models. Based upon the features pertaining to mouse NAFLD, we aimed at establishing a modified generic scoring system that is applicable to broad spectrum of rodent models.The histopathology of NAFLD was analyzed in several different mouse models of NAFLD to define generic criteria for histological assessment (preclinical scoring system. For validation of this scoring system, 36 slides of mouse livers, covering the whole spectrum of NAFLD, were blindly analyzed by ten observers. Additionally, the livers were blindly scored by one observer during two separate assessments longer than 3 months apart.The criteria macrovesicular steatosis, microvesicular steatosis, hepatocellular hypertrophy, inflammation and fibrosis were generally applicable to rodent NAFLD. The inter-observer reproducibility (evaluated using the Intraclass Correlation Coefficient between the ten observers was high for the analysis of macrovesicular steatosis and microvesicular steatosis (ICC = 0.784 and 0.776, all p<0.001, respectively and moderate for the analysis of hypertrophy and inflammation (ICC = 0.685 and 0.650, all p<0.001, respectively. The intra-observer reproducibility between the different observations of one observer was high for the analysis of macrovesicular steatosis, microvesicular steatosis and hypertrophy (ICC = 0.871, 0.871 and 0.896, all p<0.001, respectively and very high for the analysis of inflammation (ICC = 0.931, p

  11. A score system for quality evaluation of RNA sequence tags: an improvement for gene expression profiling

    Directory of Open Access Journals (Sweden)

    Pinheiro Daniel G

    2009-06-01

    Full Text Available Abstract Background High-throughput molecular approaches for gene expression profiling, such as Serial Analysis of Gene Expression (SAGE, Massively Parallel Signature Sequencing (MPSS or Sequencing-by-Synthesis (SBS represent powerful techniques that provide global transcription profiles of different cell types through sequencing of short fragments of transcripts, denominated sequence tags. These techniques have improved our understanding about the relationships between these expression profiles and cellular phenotypes. Despite this, more reliable datasets are still necessary. In this work, we present a web-based tool named S3T: Score System for Sequence Tags, to index sequenced tags in accordance with their reliability. This is made through a series of evaluations based on a defined rule set. S3T allows the identification/selection of tags, considered more reliable for further gene expression analysis. Results This methodology was applied to a public SAGE dataset. In order to compare data before and after filtering, a hierarchical clustering analysis was performed in samples from the same type of tissue, in distinct biological conditions, using these two datasets. Our results provide evidences suggesting that it is possible to find more congruous clusters after using S3T scoring system. Conclusion These results substantiate the proposed application to generate more reliable data. This is a significant contribution for determination of global gene expression profiles. The library analysis with S3T is freely available at http://gdm.fmrp.usp.br/s3t/. S3T source code and datasets can also be downloaded from the aforementioned website.

  12. Understanding the relationship between Kano model's customer satisfaction scores and self-stated requirements importance.

    Science.gov (United States)

    Mkpojiogu, Emmanuel O C; Hashim, Nor Laily

    2016-01-01

    Customer satisfaction is the result of product quality and viability. The place of the perceived satisfaction of users/customers for a software product cannot be neglected especially in today competitive market environment as it drives the loyalty of customers and promotes high profitability and return on investment. Therefore understanding the importance of requirements as it is associated with the satisfaction of users/customers when their requirements are met is worth the pain considering. It is necessary to know the relationship between customer satisfactions when their requirements are met (or their dissatisfaction when their requirements are unmet) and the importance of such requirement. So many works have been carried out on customer satisfaction in connection with the importance of requirements but the relationship between customer satisfaction scores (coefficients) of the Kano model and users/customers self-stated requirements importance have not been sufficiently explored. In this study, an attempt is made to unravel the underlying relationship existing between Kano model's customer satisfaction indexes and users/customers self reported requirements importance. The results of the study indicate some interesting associations between these considered variables. These bivariate associations reveal that customer satisfaction index (SI), and average satisfaction coefficient (ASC) and customer dissatisfaction index (DI) and average satisfaction coefficient (ASC) are highly correlated (r = 96 %) and thus ASC can be used in place of either SI or DI in representing customer satisfaction scores. Also, these Kano model's customer satisfaction variables (SI, DI, and ASC) are each associated with self-stated requirements importance (IMP). Further analysis indicates that the value customers or users place on requirements that are met or on features that are incorporated into a product influences the level of satisfaction such customers derive from the product. The

  13. Does replacement of vitamin D reduce the symptom scores and improve quality of life in patients with chronic urticaria?

    Science.gov (United States)

    Oguz Topal, Ilteris; Kocaturk, Emek; Gungor, Sule; Durmuscan, Mustafa; Sucu, Veysel; Yıldırmak, Sembol

    2016-01-01

    Vitamin D plays a key role in the immune responses generated by lymphocytes and antigen-presenting cells. Decreased vitamin 25-hydroxyvitamin D (25(OH)D) levels have been implicated in several allergic disorders and association between 25(OH)D levels and chronic urticaria (CU) symptom scores has been evaluated in a few studies. This study was performed to assess the effects of vitamin D supplementation on the symptoms and quality of life scores in chronic spontaneous urticaria (CSU) and to vitamin D levels in CSU patients in comparison with controls. Fifty-eight CSU patients and forty-five controls were included in the study. The patients were divided into two groups according to severity of the disease; as mild/moderate and severe urticaria. Serum 25-hydroxyvitamin D (25(OH)D) concentrations were measured in serum of CSU patients and compared with the control groups. In patients with 25(OH)D concentrations lower than 30 µg/L, 300 000 IU/month of vitamin D3 supplementation was added to standard therapy. The clinical improvement was evaluated after 3 months with urticaria activity score (UAS4) and Chronic Urticaria Quality of Life Questionnaire (CU-Q2oL). Serum 25(OH)D concentration was significantly lower in CSU group compared to healthy subjects (p < 0.001). The prevalence of vitamin D deficiency (<20 (µg/L) and insufficiency (<30 µg/L) was significantly higher in CSU patients than control groups. In addition, 25(OH)D concentrations were significantly lower in both mild-moderate and severe CSU patients than those of the controls (p = 0.011 and p < 0.001, respectively). Ninety eight percent of patients (25(OH)D < 30 µg/L) were treated with vitamin D3 (300 000 IU/month) supplementation, and after 12 weeks, these patients showed significant improvements in UAS4 and CU-Q2oL scores. This study support the contributing and beneficial effects of vitamin D in the treatment of CU. Replacement of vitamin D may provide improvement in both

  14. A SYSTEMATIC STUDY OF SOFTWARE QUALITY MODELS

    OpenAIRE

    Dr.Vilas. M. Thakare; Ashwin B. Tomar

    2011-01-01

    This paper aims to provide a basis for software quality model research, through a systematic study ofpapers. It identifies nearly seventy software quality research papers from journals and classifies paper asper research topic, estimation approach, study context and data set. The paper results combined withother knowledge provides support for recommendations in future software quality model research, toincrease the area of search for relevant studies, carefully select the papers within a set ...

  15. Global tilt and lumbar lordosis index: two parameters correlating with health-related quality of life scores-but how do they truly impact disability?

    Science.gov (United States)

    Boissière, Louis; Takemoto, Mitsuru; Bourghli, Anouar; Vital, Jean-Marc; Pellisé, Ferran; Alanay, Ahmet; Yilgor, Caglar; Acaroglu, Emre; Perez-Grueso, Francisco Javier; Kleinstück, Frank; Obeid, Ibrahim

    2017-04-01

    Many radiological parameters have been reported to correlate with patient's disability including sagittal vertical axis (SVA), pelvic tilt (PT), and pelvic incidence minus lumbar lordosis (PI-LL). European literature reports other parameters such as lumbar lordosis index (LLI) and the global tilt (GT). If most parameters correlate with health-related quality of life scores (HRQLs), their impact on disability remains unclear. This study aimed to validate these parameters by investigating their correlation with HRQLs. It also aimed to evaluate the relationship between each of these sagittal parameters and HRQLs to fully understand the impact in adult spinal deformity management. A retrospective review of a multicenter, prospective database was carried out. The database inclusion criteria were adults (>18 years old) presenting any of the following radiographic parameters: scoliosis (Cobb ≥20°), SVA ≥5 cm, thoracic kyphosis ≥60° or PT ≥25°. All patients with complete data at baseline were included. Health-related quality of life scores, demographic variables (DVs), and radiographic parameters were collected at baseline. Differences in HRQLs among groups of each DV were assessed with analyses of variance. Correlations between radiographic variables and HRQLs were assessed using the Spearman rank correlation. Multivariate linear regression models were fitted for each of the HRQLs (Oswestry Disability Index [ODI], Scoliosis Research Society-22 subtotal score, or physical component summaries) with sagittal parameters and covariants as independent variables. A pindex, past surgery, and surgical or non-surgical candidate were significant predictors of ODI score. The likelihood ratio tests for the addition of the sagittal parameters showed that SVA, GT, T1 sagittal tilt, PI-LL, and LLI were statistically significant predictors for ODI score even adjusted for covariates. The differences of R 2 values from Model 1 were 1.5% at maximum, indicating that the addition

  16. Diet quality of Italian yogurt consumers: an application of the probability of adequate nutrient intake score (PANDiet).

    Science.gov (United States)

    Mistura, Lorenza; D'Addezio, Laura; Sette, Stefania; Piccinelli, Raffaela; Turrini, Aida

    2016-01-01

    The diet quality in yogurt consumers and non-consumers was evaluated by applying the probability of adequate nutrient intake (PANDiet) index to a sample of adults and elderly from the Italian food consumption survey INRAN SCAI 2005-06. Overall, yogurt consumers had a significantly higher mean intake of energy, calcium and percentage of energy from total sugars whereas the mean percentage of energy from total fat, saturated fatty acid and total carbohydrate were significantly (p yogurt consumers than in non-consumers, (60.58 ± 0.33 vs. 58.58 ± 0.19, p yogurt consumers. The items of calcium, potassium and riboflavin showed the major percentage variation between consumers and non-consumers. Yogurt consumers were more likely to have adequate intakes of vitamins and minerals, and a higher quality score of the diet.

  17. Score, pseudo-score and residual diagnostics for goodness-of-fit of spatial point process models

    DEFF Research Database (Denmark)

    Baddeley, Adrian; Rubak, Ege H.; Møller, Jesper

    theoretical support to the established practice of using functional summary statistics such as Ripley’s K-function, when testing for complete spatial randomness; and they provide new tools such as the compensator of the K-function for testing other fitted models. The results also support localisation methods...

  18. A Bayesian Analysis of a Random Effects Small Business Loan Credit Scoring Model

    Directory of Open Access Journals (Sweden)

    Patrick J. Farrell

    2011-09-01

    Full Text Available One of the most important aspects of credit scoring is constructing a model that has low misclassification rates and is also flexible enough to allow for random variation. It is also well known that, when there are a large number of highly correlated variables as is typical in studies involving questionnaire data, a method must be found to reduce the number of variables to those that have high predictive power. Here we propose a Bayesian multivariate logistic regression model with both fixed and random effects for small business loan credit scoring and a variable reduction method using Bayes factors. The method is illustrated on an interesting data set based on questionnaires sent to loan officers in Canadian banks and venture capital companies

  19. Quality metrics for detailed clinical models.

    Science.gov (United States)

    Ahn, SunJu; Huff, Stanley M; Kim, Yoon; Kalra, Dipak

    2013-05-01

    To develop quality metrics for detailed clinical models (DCMs) and test their validity. Based on existing quality criteria which did not include formal metrics, we developed quality metrics by applying the ISO/IEC 9126 software quality evaluation model. The face and content validity of the initial quality metrics were assessed by 9 international experts. Content validity was defined as agreement by over 70% of the panelists. For eliciting opinions and achieving consensus of the panelists, a two round Delphi survey was conducted. Valid quality metrics were considered reliable if agreement between two evaluators' assessments of two example DCMs was over 0.60 in terms of the kappa coefficient. After reliability and validity were tested, the final DCM quality metrics were selected. According to the results of the reliability test, the degree of agreement was high (a kappa coefficient of 0.73). Based on the results of the reliability test, 8 quality evaluation domains and 29 quality metrics were finalized as DCM quality metrics. Quality metrics were validated by a panel of international DCM experts. Therefore, we expect that the metrics, which constitute essential qualitative and quantitative quality requirements for DCMs, can be used to support rational decision-making by DCM developers and clinical users. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  20. Plasma metabolite score correlates with Hypoxia time in a newly born piglet model for asphyxia

    Directory of Open Access Journals (Sweden)

    Julia Kuligowski

    2017-08-01

    Full Text Available Hypoxic-ischemic encephalopathy (HIE secondary to perinatal asphyxia is a leading cause of mortality and acquired long-term neurologic co-morbidities in the neonate. The most successful intervention for the treatment of moderate to severe HIE is moderate whole body hypothermia initiated within 6 h from birth. The objective and prompt identification of infants who are at risk of developing moderate to severe HIE in the critical first hours still remains a challenge. This work proposes a metabolite score calculated based on the relative intensities of three metabolites (choline, 6,8-dihydroxypurine and hypoxanthine that showed maximum correlation with hypoxia time in a consolidated piglet model for neonatal hypoxia-ischemia. The metabolite score's performance as a biomarker for perinatal hypoxia and its usefulness for clinical grading and decision making have been assessed and compared to the performance of lactate which is currently considered the gold standard. For plasma samples withdrawn before and directly after a hypoxic insult, the metabolite score performed similar to lactate. However, it provided an enhanced predictive capacity at 2 h after resuscitation. The present study evidences the usefulness of the metabolite score for improving the early assessment of the severity of the hypoxic insult based on serial determinations in a minimally invasive biofluid. The applicability of the metabolite score for clinical diagnosis and patient stratification for hypothermia treatment has to be confirmed in multicenter trials involving newborns suffering from HIE. Keywords: Hypoxia, Perinatal asphyxia, Newborn, Metabolic biomarker, Neonatal piglet model, Liquid Chromatography – Time-of-Flight Mass Spectrometry (LC-TOF-MS

  1. Credit risk assessment model for Jordanian commercial banks: Neural scoring approach

    OpenAIRE

    Bekhet, Hussain Ali; Eletter, Shorouq Fathi Kamel

    2014-01-01

    Despite the increase in the number of non-performing loans and competition in the banking market, most of the Jordanian commercial banks are reluctant to use data mining tools to support credit decisions. Artificial neural networks represent a new family of statistical techniques and promising data mining tools that have been used successfully in classification problems in many domains. This paper proposes two credit scoring models using data mining techniques to support loan decisions for th...

  2. A model and scoring system to predict outcome of intrauterine pregnancies of uncertain viability.

    Science.gov (United States)

    Bottomley, C; Van Belle, V; Pexsters, A; Papageorghiou, A T; Mukri, F; Kirk, E; Van Huffel, S; Timmerman, D; Bourne, T

    2011-05-01

    To define the incidence and outcome of intrauterine pregnancy of uncertain viability (PUV) and to develop and assess the performance of a model and a scoring system to predict ongoing viability. Of 1881 consecutive women undergoing transvaginal ultrasonography, a cohort of 493 women with an empty gestational sac model and a 'simple' model in the prediction of viability at each outcome point, based on maternal demographics, ultrasound features and symptoms. The performance of each system was assessed by receiver-operating characteristics (ROC) curve analysis and calibration plots on a test dataset. The incidence of PUV in this population was 29.2% (549/1881). Of the 493 pregnancies with initial (7-14 days) follow-up available, 307 (62.3%) were viable at this time and of the 444 pregnancies with follow-up at the end of the first trimester, 225 (50.7%) were still viable. Initial (7-14-day) viability was predicted by the model with an area under the ROC curve (AUC) of 0.837 (95% CI, 0.791-0.884) in the training dataset and 0.821 (95% CI, 0.756-0.885) in the test dataset. First-trimester (11-14-week) viability was predicted by the model with an AUC of 0.788 (95% CI, 0.734-0.842) in the training dataset and 0.774 (95% CI, 0.701-0.848) in the test dataset. The scoring system performed slightly worse than did the model, but had the advantage of being easily applicable. When early pregnancy viability cannot be established immediately with ultrasound, use of either a logistic regression model or a scoring system allows an individualized prediction of first-trimester outcome. Copyright © 2011 ISUOG. Published by John Wiley & Sons, Ltd.

  3. Performance of Disease-Specific Scoring Models in Intensive Care Patients with Severe Liver Diseases.

    Science.gov (United States)

    El-Ghannam, Maged T; Hassanien, Moataz H; El-Talkawy, Mohamed D; Saleem, Abdel Aziz A; Sabry, Amal I; Abu Taleb, Hoda M

    2017-06-01

    Egypt has the highest prevalence of Hepatitis C Virus (HCV) in the world, estimated nationally at 14.7%. HCV treatment consumes 20% ($80 million) of Egypt's annual health budget. Outcomes of cirrhotic patients admitted to the ICU may, in fact, largely depend on differences in the state of the disease, criteria and indications for admission, resource utilization, and intensity of treatment. The aim of the present study was to evaluate the efficacy of liver specific scoring models in predicting the outcome of critically ill cirrhotic patients in the ICU as it may help in prioritization of high risk patients and preservation of ICU resources. Over one year, a total of 777 patients with End Stage Liver Disease (ESLD) due to HCV infection were included in this retrospective non-randomized human study. All statistical analyses were performed by the statistical software SPSS version 22.0 (SPSS, Chicago, IL, USA). Child Turcotte Pugh (CTP) score, MELD score, MELD-Na, MESO, iMELD, Refit MELD and Refit MELD-Na were calculated on ICU admission. ICU admission was mainly due to Gastrointestinal (GI) bleeding and Hepatic Encephalopathy (HE). Overall mortality was 27%. Age and sex showed no statistical difference between survivors and non survivors. Significantly higher mean values were observed for all models among individuals who died compared to survivors. MELD-Na was the most specific compared to the other scores. MELD-Na was highly predictive of mortality at an optimized cut-off value of 20.4 (AURC=0.789±0.03-CI 95%=0.711-0.865) while original MELD was highly predictive of mortality at an optimized cut-off value of 17.4 (AURC=0.678±0.01-CI 95%=0.613-0.682) denoting the importance of adding serum sodium to the original MELD. INR, serum creatinine, bilirubin, white blood cells count and hyponatremia were significantly higher in non survivors compared to survivors, while hypoalbuminemia showed no statistical difference. The advent of Hepatorenal Syndrome (HRS) and Spontaneous

  4. Air Quality Dispersion Modeling - Alternative Models

    Science.gov (United States)

    Models, not listed in Appendix W, that can be used in regulatory applications with case-by-case justification to the Reviewing Authority as noted in Section 3.2, Use of Alternative Models, in Appendix W.

  5. Private healthcare quality: applying a SERVQUAL model.

    Science.gov (United States)

    Butt, Mohsin Muhammad; de Run, Ernest Cyril

    2010-01-01

    This paper seeks to develop and test the SERVQUAL model scale for measuring Malaysian private health service quality. The study consists of 340 randomly selected participants visiting a private healthcare facility during a three-month data collection period. Data were analyzed using means, correlations, principal component and confirmatory factor analysis to establish the modified SERVQUAL scale's reliability, underlying dimensionality and convergent, discriminant validity. Results indicate a moderate negative quality gap for overall Malaysian private healthcare service quality. Results also indicate a moderate negative quality gap on each service quality scale dimension. However, scale development analysis yielded excellent results, which can be used in wider healthcare policy and practice. Respondents were skewed towards a younger population, causing concern that the results might not represent all Malaysian age groups. The study's major contribution is that it offers a way to assess private healthcare service quality. Second, it successfully develops a scale that can be used to measure health service quality in Malaysian contexts.

  6. A Path Model of Psychosocial Factors Influencing Quality, Quality ...

    African Journals Online (AJOL)

    This study adopted the survey research design using an ex-post facto type to investigate path modeling of psychosocial factors influencing quality marital relationship among married individuals in Southwest Nigeria. The target population ... Three research questions were answered using path analysis. The result showed ...

  7. A Network-Based Data Envelope Analysis Model in a Dynamic Balanced Score Card

    Directory of Open Access Journals (Sweden)

    Mojtaba Akbarian

    2015-01-01

    Full Text Available Performance assessment during the time and along with strategies is the most important requirements of top managers. To assess the performance, a balanced score card (BSC along with strategic goals and a data envelopment analysis (DEA are used as powerful qualitative and quantitative tools, respectively. By integrating these two models, their strengths are used and their weaknesses are removed. In this paper, an integrated framework of the BSC and DEA models is proposed for measuring the efficiency during the time and along with strategies based on the time delay of the lag key performance indicators (KPIs of the BSC model. The causal relationships during the time among perspectives of the BSC model are drawn as dynamic BSC at first. Then, after identifying the network-DEA structure, a new objective function for measuring the efficiency of nine subsidiary refineries of the National Iranian Oil Refining and Distribution Company (NIORDC during the time and along with strategies is developed.

  8. Developmental relations between vocabulary knowledge and reading comprehension: a latent change score modeling study.

    Science.gov (United States)

    Quinn, Jamie M; Wagner, Richard K; Petscher, Yaacov; Lopez, Danielle

    2015-01-01

    The present study followed a sample of first-grade (N = 316, Mage = 7.05 at first test) through fourth-grade students to evaluate dynamic developmental relations between vocabulary knowledge and reading comprehension. Using latent change score modeling, competing models were fit to the repeated measurements of vocabulary knowledge and reading comprehension to test for the presence of leading and lagging influences. Univariate models indicated growth in vocabulary knowledge, and reading comprehension was determined by two parts: constant yearly change and change proportional to the previous level of the variable. Bivariate models indicated previous levels of vocabulary knowledge acted as leading indicators of reading comprehension growth, but the reverse relation was not found. Implications for theories of developmental relations between vocabulary and reading comprehension are discussed. © 2014 The Authors. Child Development © 2014 Society for Research in Child Development, Inc.

  9. Quality model for semantic IS standards

    NARCIS (Netherlands)

    Folmer, Erwin Johan Albert

    2011-01-01

    Semantic IS (Information Systems) standards are essential for achieving interoperability between organizations. However a recent survey suggests that not the full benefits of standards are achieved, due to the quality issues. This paper presents a quality model for semantic IS standards, that should

  10. SOIL QUALITY ASSESSMENT USING FUZZY MODELING

    Science.gov (United States)

    Maintaining soil productivity is essential if agriculture production systems are to be sustainable, thus soil quality is an essential issue. However, there is a paucity of tools for measurement for the purpose of understanding changes in soil quality. Here the possibility of using fuzzy modeling t...

  11. Correlation between Family APGAR scores and health-related quality of life of Filipino elderly patients with knee osteoarthritis.

    Science.gov (United States)

    Lim, Anne T C; Manching, James; Penserga, Ester G

    2012-08-01

    This study aims to describe the clinical profile of Filipino patients with knee osteoarthritis (OA) and correlate their health-related quality of life (HrQoL) with perceived family support. This is a cross-sectional, analytical study of patients seen at the Philippine General Hospital Arthritis Clinic diagnosed with knee OA using the American College of Rheumatology classification criteria. Questionnaires for the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) v.3.1 and Family APGAR (Adaptation, Partnership, Growth, Affection and Resolve) were self-administered. Pearson's correlation, analysis of variance and Bonferroni tests were applied. Ninety patients with 3 : 1 female-to-male ratio, mean age of 70.14 years qualified for the study. Mean body mass index was 23.3. Mean duration of symptoms was 5.9 years. Fifty-three considered their family to be highly functional, 28 moderately dysfunctional and nine severely dysfunctional. Analysis showed that Family APGAR is moderately and inversely correlated with pain (r = -0.3373; P = 0.0002), stiffness (r = -0.3642; P = 0.0004), function (r = -0.3646; P = 0.0004) and total WOMAC scores (r = -0.3880; P = 0.0002). Likewise, there were significant differences of total WOMAC scores in the pain, stiffness and function subscales (P = 0.0076, P = 0.0032, P = 0.0165 and P = 0.0159, respectively) between patients in highly functional and severely dysfunctional families, and between highly and moderately functional families. As Family APGAR scores increased, there was significant decrease in all WOMAC subscales. We described the clinical profile of 90 elderly patients with knee OA and the relationship of HrQoL to Family APGAR scores. This paper concludes that higher Family APGAR scores in this population correlated with better HrQoL. © 2012 The Authors International Journal of Rheumatic Diseases © 2012 Asia Pacific League of Associations for Rheumatology and Wiley Publishing Asia Pty Ltd.

  12. Fisher Scoring Method for Parameter Estimation of Geographically Weighted Ordinal Logistic Regression (GWOLR) Model

    Science.gov (United States)

    Widyaningsih, Purnami; Retno Sari Saputro, Dewi; Nugrahani Putri, Aulia

    2017-06-01

    GWOLR model combines geographically weighted regression (GWR) and (ordinal logistic reression) OLR models. Its parameter estimation employs maximum likelihood estimation. Such parameter estimation, however, yields difficult-to-solve system of nonlinear equations, and therefore numerical approximation approach is required. The iterative approximation approach, in general, uses Newton-Raphson (NR) method. The NR method has a disadvantage—its Hessian matrix is always the second derivatives of each iteration so it does not always produce converging results. With regard to this matter, NR model is modified by substituting its Hessian matrix into Fisher information matrix, which is termed Fisher scoring (FS). The present research seeks to determine GWOLR model parameter estimation using Fisher scoring method and apply the estimation on data of the level of vulnerability to Dengue Hemorrhagic Fever (DHF) in Semarang. The research concludes that health facilities give the greatest contribution to the probability of the number of DHF sufferers in both villages. Based on the number of the sufferers, IR category of DHF in both villages can be determined.

  13. Spatial Allocator for air quality modeling

    Science.gov (United States)

    The Spatial Allocator is a set of tools that helps users manipulate and generate data files related to emissions and air quality modeling without requiring the use of a commercial Geographic Information System.

  14. Spatial enhancement of ECG using diagnostic similarity score based lead selective multi-scale linear model.

    Science.gov (United States)

    Nallikuzhy, Jiss J; Dandapat, S

    2017-06-01

    In this work, a new patient-specific approach to enhance the spatial resolution of ECG is proposed and evaluated. The proposed model transforms a three-lead ECG into a standard twelve-lead ECG thereby enhancing its spatial resolution. The three leads used for prediction are obtained from the standard twelve-lead ECG. The proposed model takes advantage of the improved inter-lead correlation in wavelet domain. Since the model is patient-specific, it also selects the optimal predictor leads for a given patient using a lead selection algorithm. The lead selection algorithm is based on a new diagnostic similarity score which computes the diagnostic closeness between the original and the spatially enhanced leads. Standard closeness measures are used to assess the performance of the model. The similarity in diagnostic information between the original and the spatially enhanced leads are evaluated using various diagnostic measures. Repeatability and diagnosability are performed to quantify the applicability of the model. A comparison of the proposed model is performed with existing models that transform a subset of standard twelve-lead ECG into the standard twelve-lead ECG. From the analysis of the results, it is evident that the proposed model preserves diagnostic information better compared to other models. Copyright © 2017 Elsevier Ltd. All rights reserved.

  15. Quality Control of traffic models

    DEFF Research Database (Denmark)

    Nielsen, Otto Anker; Hansen, Christian Overgaard

    -sikring af trafikmodel-ler, idet ikke nogen har behandlet emnet systematisk. Artiklen præsenterer overvejelser og ideer til kvalitetssikring af trafik-modeller. En række af disse metoder udnytter mulighederne i Geografiske Informationssystemer (GIS). I arbejdet med udvikling af en trafikmodel ind-går: 1......) Etablering af grunddata, 2) Opstilling af model, 3) Indsamling af modeldata og 4) Validering af resultater. Kvalitetssikring af trafikmodeller bør omfatte alle fire elementer. Afsnit 2 giver en kort beskrivelse af den historiske udvikling af trafikmodeller. Afsnit 3 behandler kvalitetssikring af grunddata......, mens afsnit 4 fokuserer på opstilling af model, indsamling af modeldata og behandling af data. Afsnit 5 diskuterer af-vejningen af arbejds-indsatsen vedrørende data og opbygning af modellen. Artiklen afsluttes i afsnit 6 med konklusio-ner og anbefalinger til videre arbejde. Be-handlingen af kvalitets...

  16. CREDIT SCORING MODELS IN ESTIMATING THE CREDITWORTHINESS OF SMALL AND MEDIUM AND BIG ENTERPRISES

    Directory of Open Access Journals (Sweden)

    Robert Zenzerović

    2011-02-01

    Full Text Available This paper is focused on estimating the credit scoring models for companies operating in the Republic of Croatia. According to level of economic and legal development, especially in the area of bankruptcy regulation as well as business ethics in the Republic of Croatia, the models derived can be applied in wider region particularly in South-eastern European countries that twenty years ago transferred from state directed to free market economy. The purpose of this paper is to emphasize the relevance and possibilities of particular financial ratios in estimating the creditworthiness of business entities what was realized by performing the research among 110 companies. Along most commonly used research methods of description, analysis and synthesis, induction, deduction and surveys, the mathematical and statistical logistic regression method took the central part in this research. The designed sample of 110 business entities represented the structure of firms operating in Republic of Croatia according to their activities as well as to their size. The sample was divided in two sub samples where the first one consist of small and medium enterprises (SME and the second one consist of big business entities. In the next phase the logistic regression method was applied on the 50 independent variables – financial ratios calculated for each sample unit in order to find ones that best discriminate financially stable from unstable companies. As the result of logistic regression analysis, two credit scoring models were derived. First model include the liquidity, solvency and profitability ratios and is applicable for SME’s. With its classification accuracy of 97% the model has high predictive ability and can be used as an effective decision support tool. Second model is applicable for big companies and include only two independent variables – liquidity and solvency ratios. The classification accuracy of this model is 92,5% and, according to criteria of

  17. Surface Flux Modeling for Air Quality Applications

    Directory of Open Access Journals (Sweden)

    Limei Ran

    2011-08-01

    Full Text Available For many gasses and aerosols, dry deposition is an important sink of atmospheric mass. Dry deposition fluxes are also important sources of pollutants to terrestrial and aquatic ecosystems. The surface fluxes of some gases, such as ammonia, mercury, and certain volatile organic compounds, can be upward into the air as well as downward to the surface and therefore should be modeled as bi-directional fluxes. Model parameterizations of dry deposition in air quality models have been represented by simple electrical resistance analogs for almost 30 years. Uncertainties in surface flux modeling in global to mesoscale models are being slowly reduced as more field measurements provide constraints on parameterizations. However, at the same time, more chemical species are being added to surface flux models as air quality models are expanded to include more complex chemistry and are being applied to a wider array of environmental issues. Since surface flux measurements of many of these chemicals are still lacking, resistances are usually parameterized using simple scaling by water or lipid solubility and reactivity. Advances in recent years have included bi-directional flux algorithms that require a shift from pre-computation of deposition velocities to fully integrated surface flux calculations within air quality models. Improved modeling of the stomatal component of chemical surface fluxes has resulted from improved evapotranspiration modeling in land surface models and closer integration between meteorology and air quality models. Satellite-derived land use characterization and vegetation products and indices are improving model representation of spatial and temporal variations in surface flux processes. This review describes the current state of chemical dry deposition modeling, recent progress in bi-directional flux modeling, synergistic model development research with field measurements, and coupling with meteorological land surface models.

  18. A Skill Score of Trajectory Model Evaluation Using Reinitialized Series of Normalized Cumulative Lagrangian Separation

    Science.gov (United States)

    Liu, Y.; Weisberg, R. H.

    2017-12-01

    The Lagrangian separation distance between the endpoints of simulated and observed drifter trajectories is often used to assess the performance of numerical particle trajectory models. However, the separation distance fails to indicate relative model performance in weak and strong current regions, such as a continental shelf and its adjacent deep ocean. A skill score is proposed based on the cumulative Lagrangian separation distances normalized by the associated cumulative trajectory lengths. The new metrics correctly indicates the relative performance of the Global HYCOM in simulating the strong currents of the Gulf of Mexico Loop Current and the weaker currents of the West Florida Shelf in the eastern Gulf of Mexico. In contrast, the Lagrangian separation distance alone gives a misleading result. Also, the observed drifter position series can be used to reinitialize the trajectory model and evaluate its performance along the observed trajectory, not just at the drifter end position. The proposed dimensionless skill score is particularly useful when the number of drifter trajectories is limited and neither a conventional Eulerian-based velocity nor a Lagrangian-based probability density function may be estimated.

  19. Examining the Efficiency of Models Using Tangent Coordinates or Principal Component Scores in Allometry Studies.

    Science.gov (United States)

    Sigirli, Deniz; Ercan, Ilker

    2015-09-01

    Most of the studies in medical and biological sciences are related to the examination of geometrical properties of an organ or organism. Growth and allometry studies are important in the way of investigating the effects of diseases and the environmental factors effects on the structure of the organ or organism. Thus, statistical shape analysis has recently become more important in the medical and biological sciences. Shape is all geometrical information that remains when location, scale and rotational effects are removed from an object. Allometry, which is a relationship between size and shape, plays an important role in the development of statistical shape analysis. The aim of the present study was to compare two different models for allometry which includes tangent coordinates and principal component scores of tangent coordinates as dependent variables in multivariate regression analysis. The results of the simulation study showed that the model constructed by taking tangent coordinates as dependent variables is more appropriate than the model constructed by taking principal component scores of tangent coordinates as dependent variables, for all sample sizes.

  20. BALANCED SCORE CARD MODEL EVALUATION: THE CASE OF AD BARSKA PLOVIDBA

    Directory of Open Access Journals (Sweden)

    Jelena Jovanović

    2009-06-01

    Full Text Available The paper analyses creation of Balanced Scorecard, which includes environmental protection elements in AD Barska Plovidba. Firstly,the paper presents proposed models that include elements of conventional Balanced scorecard, and then we start with proposed models evaluation. In fact, as implementation and evaluation of the model in AD Barska Plovidba takes longer period of time, its evaluation and final choice is based on ISO 14598 and ISO 9126 with use of AHP method. Usually those standards are used for quality evaluation of software products, computer programs and databases inside organisation. After all, they serve as support for their development and acceptance because they provide quality evaluation during the phase when software is not yet implemented inside organistaion, what we assume as very important.

  1. Recent updates in the aerosol model of C-IFS and their impact on skill scores

    Science.gov (United States)

    Remy, Samuel; Boucher, Olivier; Hauglustaine, Didier

    2016-04-01

    The Composition-Integrated Forecast System (C-IFS) is a global atmospheric composition forecasting tool, run by ECMWF within the framework of the Copernicus Atmospheric Monitoring Services (CAMS). The aerosol model of C-IFS is a simple bulk scheme that forecasts 5 species: dust, sea-salt, black carbon, organic matter and sulfates. Three bins represent the dust and sea-salt, for the super-coarse, coarse and fine mode of these species (Morcrette et al., 2009). This talk will present recent updates of the aerosol model, and also introduce coming upgrades. It will also present evaluations of these scores against AERONET observations. Next cycle of the C-IFS will include a mass fixer, because the semi-Lagrangian advection scheme used in C-IFS is not mass-conservative. This modification has a negligible impact for most species except for black carbon and organic matter; it allows to close the budgets between sources and sinks in the diagnostics. Dust emissions have been tuned to favor the emissions of large particles, which were under-represented. This brought an overall decrease of the burden of dust aerosol and improved scores especially close to source regions. The biomass-burning aerosol emissions are now emitted at an injection height that is provided by a new version of the Global Fire Assimilation System (GFAS). This brought a small increase in biomass burning aerosols, and a better representation of some large fire events. Lastly, SO2 emissions are now provided by the MACCity dataset instead of and older version of the EDGAR dataset. The seasonal and yearly variability of SO2 emissions are better captured by the MACCity dataset; the use of which brought significant improvements of the forecasts against observations. Upcoming upgrades of the aerosol model of C-IFS consist mainly in the overhaul of the representation of secondary aerosols. Secondary Organic Aerosols (SOA) production will be dynamically estimated by scaling them on CO fluxes. This approach has been

  2. Cardiovascular disease risk score prediction models for women and its applicability to Asians

    Directory of Open Access Journals (Sweden)

    Goh LGH

    2014-03-01

    Full Text Available Louise GH Goh,1 Satvinder S Dhaliwal,1 Timothy A Welborn,2 Peter L Thompson,2–4 Bruce R Maycock,1 Deborah A Kerr,1 Andy H Lee,1 Dean Bertolatti,1 Karin M Clark,1 Rakhshanda Naheed,1 Ranil Coorey,1 Phillip R Della5 1School of Public Health, Curtin Health Innovation Research Institute, Curtin University, Perth, WA, Australia; 2Sir Charles Gairdner Hospital, Nedlands, Perth, WA, Australia; 3School of Population Health, University of Western Australia, Perth, WA, Australia; 4Harry Perkins Institute for Medical Research, Perth, WA, Australia; 5School of Nursing and Midwifery, Curtin Health Innovation Research Institute, Curtin University, Perth, WA, Australia Purpose: Although elevated cardiovascular disease (CVD risk factors are associated with a higher risk of developing heart conditions across all ethnic groups, variations exist between groups in the distribution and association of risk factors, and also risk levels. This study assessed the 10-year predicted risk in a multiethnic cohort of women and compared the differences in risk between Asian and Caucasian women. Methods: Information on demographics, medical conditions and treatment, smoking behavior, dietary behavior, and exercise patterns were collected. Physical measurements were also taken. The 10-year risk was calculated using the Framingham model, SCORE (Systematic COronary Risk Evaluation risk chart for low risk and high risk regions, the general CVD, and simplified general CVD risk score models in 4,354 females aged 20–69 years with no heart disease, diabetes, or stroke at baseline from the third Australian Risk Factor Prevalence Study. Country of birth was used as a surrogate for ethnicity. Nonparametric statistics were used to compare risk levels between ethnic groups. Results: Asian women generally had lower risk of CVD when compared to Caucasian women. The 10-year predicted risk was, however, similar between Asian and Australian women, for some models. These findings were

  3. Credit Scoring Models: Lack of Information and the Use of Data from a Credit Risk Register

    OpenAIRE

    Verónica Balzarotti; Fernando Castelpoggi

    2008-01-01

    The main purpose of this paper is to study the problem created by the lack of information about the credit history of some debtors in the databases used to develop credit scoring models and the use of information about behavior compiled by a credit risk register as a potential solution to the problem. The paper analyzes two problems: (i) the need to provide a credit risk estimation of debtors whose behavior is unknown (because they are deleted from the databases without indication of the reas...

  4. PREDICTIVE ANALYSIS SOFTWARE FOR MODELING THE ALTMAN Z-SCORE FINANCIAL DISTRESS STATUS OF COMPANIES

    Directory of Open Access Journals (Sweden)

    ILIE RĂSCOLEAN

    2012-10-01

    Full Text Available Literature shows some bankruptcy methods for determining the financial distress status of companies and based on this information we chosen Altman statistical model because it has been used a lot in the past and like that it has become a benchmark for other methods. Based on this financial analysis flowchart, programming software was developed that allows the calculation and determination of the bankruptcy probability for a certain rate of failure Z-score, corresponding to a given interval that is equal to the ratio of the number of bankrupt companies and the total number of companies (bankrupt and healthy interval.

  5. Modeling groundwater flow and quality

    Science.gov (United States)

    Konikow, Leonard F.; Glynn, Pierre D.; Selinus, Olle

    2013-01-01

    In most areas, rocks in the subsurface are saturated with water at relatively shallow depths. The top of the saturated zone—the water table—typically occurs anywhere from just below land surface to hundreds of feet below the land surface. Groundwater generally fills all pore spaces below the water table and is part of a continuous dynamic flow system, in which the fluid is moving at velocities ranging from feet per millennia to feet per day (Fig. 33.1). While the water is in close contact with the surfaces of various minerals in the rock material, geochemical interactions between the water and the rock can affect the chemical quality of the water, including pH, dissolved solids composition, and trace-elements content. Thus, flowing groundwater is a major mechanism for the transport of chemicals from buried rocks to the accessible environment, as well as a major pathway from rocks to human exposure and consumption. Because the mineral composition of rocks is highly variable, as is the solubility of various minerals, the human-health effects of groundwater consumption will be highly variable.

  6. Preoperative Lund-Mackay computed tomography score is associated with preoperative symptom severity and predicts quality-of-life outcome trajectories after sinus surgery.

    Science.gov (United States)

    Brooks, Steven G; Trope, Michal; Blasetti, Mariel; Doghramji, Laurel; Parasher, Arjun; Glicksman, Jordan T; Kennedy, David W; Thaler, Erica R; Cohen, Noam A; Palmer, James N; Adappa, Nithin D

    2018-03-08

    Disagreement exists about the relationship between Lund-Mackay CT scores (LMCTS) and quality-of-life outcome (QoL) measures. We investigated whether preoperative LMCTS are associated with preoperative QoL, and whether LMCTS is predictive of postoperative QoL outcomes in chronic rhinosinusitis (CRS) patients. Adult patients with medically recalcitrant CRS (n = 665) were enrolled in a prospective, observational cohort study. Preoperative LMCTS and pre- and postoperative self-reported QoL outcomes (22-item Sino-Nasal Outcomes Test [SNOT-22]) were collected and evaluated over 12 months. Five hundred sixty-eight patients met the inclusion criteria. Longitudinal linear mixed-effects modeling was used to investigate the effect of LMCTS on QoL after functional endoscopic sinus surgery (FESS). Preoperative LMCTS were significantly associated with preoperative SNOT-22 scores (p preoperative LMCTS quartile had the lowest mean change in SNOT-22 scores at 12 months (16.8 points; 95% confidence interval [CI], 12.2-21.3). Patients in the second and third lowest preoperative LMCTS quartiles had mean changes at 12 months of 21.1 points (95% CI, 16.7-25.4) and 23.1 points (95% CI, 18.3-27.9). Patients in the highest preoperative LMCTS quartile had the greatest improvement in SNOT-22 scores after FESS (29.9 points; 95% CI, 24.9-34.8). The difference in QoL change at 12 months between the highest and lowest preoperative LMCTS quartiles was 13.1 points (95% CI, 6.0-20.2; p preoperative LMCTS correlate with preoperative extranasal and rhinologic symptom severity and that the LMCTS is an indicator of postsurgical QoL outcomes for medically recalcitrant chronic rhinosinusitis patients in a large tertiary otolaryngology setting. © 2018 ARS-AAOA, LLC.

  7. A novel complex model of hemodialysis adequacy: Predictive value and relationship with malnutrition inflammation score

    Directory of Open Access Journals (Sweden)

    Vlatković Vlastimir

    2017-01-01

    Full Text Available Target dialysis dose to ensure the best patient outcome is still a matter of debate. Traditional models have a number of limitations and do not comprehensively reflect all factors involved. In this study we present a new complex model of dialysis adequacy, the hemodialysis adequacy score (HAS, and evaluate its prognostic value, as well as its relationship with the malnutrition-inflammation score (MIS. The components of HAS included paradigms of the 6 major factors known to influence the outcome of hemodialysis (HD patients: the modified Karnofsky index (KI, the Charlson comorbidity index (CCI, Kt/V and URR measures of dialysis dose, body mass index (BMI and serum albumin level, serum levels of hemoglobin and ferritin, intact parathyroid hormone (iPTH and calciumphosphorus solubility product. The score was evaluated in a 24-month prospective study on 147 HD patients. Odds ratio analysis showed that hospitalized patients had twice the chance to have HAS >13 compared to those who were not hospitalized during the study period (OR=2.152, CI 95% (1.0024- 4.619. Mortality rate was significantly higher in patients with a HAS >13 at the 12-month follow-up (χ2=16.416, p 13 had significantly higher probability of death (log-rank Cox- Mantel=17.920, df=1, p <0.00023. The HAS directly and significantly correlated with the MIS at all measurements (p <0.0001. Results confirmed that the HAS is a useful tool to assess dialysis adequacy with a good prognostic value. The cutoff level for the HAS at 13 points was associated with an unfavorable outcome.

  8. Low quality of life scores in school children with attention deficit-hyperactivity disorder related to anxiety

    Directory of Open Access Journals (Sweden)

    Elizabeth Zambrano-Sánchez

    2012-03-01

    Full Text Available OBJECTIVE: Attention deficit hyperactivity disorder (ADHD is an alteration that begins early in infancy and whose cardinal symptoms are inattention, hyperactivity and impulsivity. There are few studies for specific tests to measure Quality of Life (QoL in children with ADHD. METHODS: We evaluated QoL of 120 children from 7-12 years of age with ADHD and of a group of 98 healthy control children. To measure QoL, we utilized the Questionnaire of Quality of Life for Children in Pictures (AutoQuestionnaire Qualité de Vie Enfant Imagé, AUQUEI. We evaluated anxiety in children by the Children´s Manifest Anxiety Scale-Revisited (CMAS-R. We compared results among groups and employed the calculation of correlation between the AUQUEI questionnaire and the CMAS-R scale. RESULTS: The total average of the AUQUEI questionnaire in children with ADHD was 45.2, while in the control group it was 54.3 (p<0.05. We also observed significant differences between the control group and groups of children with ADHD in the CMAS-R scale. We found significant correlations between AUQUEI questionnaire and CMAS-R scale. CONCLUSION: The main result was to the disclosure that low QoL scores in ADHD children was anxiety-related.

  9. Low quality of life scores in school children with attention deficit-hyperactivity disorder related to anxiety.

    Science.gov (United States)

    Zambrano-Sánchez, Elizabeth; Martínez-Cortés, José A; del Río-Carlos, Yolanda; Dehesa-Moreno, Minerva; Poblano, Adrián

    2012-03-01

    Attention deficit hyperactivity disorder (ADHD) is an alteration that begins early in infancy and whose cardinal symptoms are inattention, hyperactivity and impulsivity. There are few studies for specific tests to measure Quality of Life (QoL) in children with ADHD. We evaluated QoL of 120 children from 7-12 years of age with ADHD and of a group of 98 healthy control children. To measure QoL, we utilized the Questionnaire of Quality of Life for Children in Pictures (AutoQuestionnaire Qualité de Vie Enfant Imagé, AUQUEI). We evaluated anxiety in children by the Children´s Manifest Anxiety Scale-Revisited (CMAS-R). We compared results among groups and employed the calculation of correlation between the AUQUEI questionnaire and the CMAS-R scale. The total average of the AUQUEI questionnaire in children with ADHD was 45.2, while in the control group it was 54.3 (pCMAS-R scale. We found significant correlations between AUQUEI questionnaire and CMAS-R scale. The main result was to the disclosure that low QoL scores in ADHD children was anxiety-related.

  10. Measures of Quality in Business Process Modelling

    Directory of Open Access Journals (Sweden)

    Radek Hronza

    2015-06-01

    Full Text Available Business process modelling and analysing is undoubtedly one of the most important parts of Applied (Business Informatics. Quality of business process models (diagrams is crucial for any purpose in this area. The goal of a process analyst’s work is to create generally understandable, explicit and error free models. If a process is properly described, created models can be used as an input into deep analysis and optimization. It can be assumed that properly designed business process models (similarly as in the case of correctly written algorithms contain characteristics that can be mathematically described. Besides it will be possible to create a tool that will help process analysts to design proper models. As part of this review will be conducted systematic literature review in order to find and analyse business process model’s design and business process model’s quality measures. It was found that mentioned area had already been the subject of research investigation in the past. Thirty-three suitable scietific publications and twenty-two quality measures were found. Analysed scientific publications and existing quality measures do not reflect all important attributes of business process model’s clarity, simplicity and completeness. Therefore it would be appropriate to add new measures of quality.

  11. STREAMFLOW AND WATER QUALITY REGRESSION MODELING ...

    African Journals Online (AJOL)

    Journal of Modeling, Design and Management of Engineering Systems ... Consistency tests, trend analyses and mathematical modeling of water quality constituents and riverflow characteristics at upstream Nekede station and downstream Obigbo station show: consistent time-trends in degree of contamination; linear and ...

  12. Teaching-Family Model: Insuring Quality Practice

    Science.gov (United States)

    McElgunn, Peggy

    2012-01-01

    The Teaching-Family Model was one of the earliest approaches to be supported by an extensive research base. As it has evolved over four decades, it retains the focus on teaching and learning but incorporates a strength- and relationship-based orientation. The model is also unique in gathering ongoing practice-based evidence to insure quality.

  13. Robustness of river basin water quality models

    NARCIS (Netherlands)

    de Blois, Chris; Wind, H.G.; de Kok, Jean-Luc; Koppeschaar, K.

    2003-01-01

    In this paper the concept of robustness is introduced and applied to a model for the analysis of the impacts of spatially distributed policy measures on the surface water quality on a river basin scale. In this model the influence of precipitation on emissions and resuspension of pollutants in the

  14. The use of predefined diet quality scores in the context of CVD risk during urbanization in the South African Prospective Urban and Rural Epidemiological (PURE) study

    NARCIS (Netherlands)

    Dolman, R.C.; Wentzel-Viljoen, E.; Jerling, J.C.; Feskens, E.J.M.; Kruger, A.; Pieters, M.

    2014-01-01

    Objective Urbanization is generally associated with increased CVD risk and accompanying dietary changes. Little is known regarding the association between increased CVD risk and dietary changes using approaches such as diet quality. The relevance of predefined diet quality scores (DQS) in

  15. Introducing the Evaluation Tools for HSE Management System Performance Using Balanced Score Card Model

    Directory of Open Access Journals (Sweden)

    Ali Mohammadi

    2016-12-01

    Full Text Available Background: The performance of the HSE units has various dimensions Leading to different performances. Thus, any industry should be capable of evaluating these systems. The aim of this study was to design a standard questionnaire in the field of performance evaluation of HSE management system employing Balanced Score Card model. Methods: In this study we, first determined the criteria to be evaluated in the framework of Balanced Score Card model based on the objectives and strategies of HSE Management System and existing standards, and then designed questions on every criterion. We used content validity and Cronbach's Alpha to determine the reliability and validity of the questionnaire. Results: The primary questionnaire was comprised of 126 questions some of which were omitted regarding the results obtained from the CVR and CVI values. We obtained the CVI average of environmental dimension to be 0.75 and its CVI average 0.71. Conclusion: With respect to the results of the reliability and validity of this questionnaire,and its standardized design we can suggest using it for evaluation of HSE management system performance in organizations and industries with the mentioned system.

  16. Academic self-concept, interest, grades, and standardized test scores: reciprocal effects models of causal ordering.

    Science.gov (United States)

    Marsh, Herbert W; Trautwein, Ulrich; Lüdtke, Oliver; Köller, Olaf; Baumert, Jürgen

    2005-01-01

    Reciprocal effects models of longitudinal data show that academic self-concept is both a cause and an effect of achievement. In this study this model was extended to juxtapose self-concept with academic interest. Based on longitudinal data from 2 nationally representative samples of German 7th-grade students (Study 1: N = 5,649, M age = 13.4; Study 2: N = 2,264, M age = 13.7 years), prior self-concept significantly affected subsequent math interest, school grades, and standardized test scores, whereas prior math interest had only a small effect on subsequent math self-concept. Despite stereotypic gender differences in means, linkages relating these constructs were invariant over gender. These results demonstrate the positive effects of academic self-concept on a variety of academic outcomes and integrate self-concept with the developmental motivation literature.

  17. Financial performance as a decision criterion of credit scoring models selection [doi: 10.21529/RECADM.2017004

    Directory of Open Access Journals (Sweden)

    Rodrigo Alves Silva

    2017-09-01

    Full Text Available This paper aims to show the importance of the use of financial metrics in decision-making of credit scoring models selection. In order to achieve such, we considered an automatic approval system approach and we carried out a performance analysis of the financial metrics on the theoretical portfolios generated by seven credit scoring models based on main statistical learning techniques. The models were estimated on German Credit dataset and the results were analyzed based on four metrics: total accuracy, error cost, risk adjusted return on capital and Sharpe index. The results show that total accuracy, widely used as a criterion for selecting credit scoring models, is unable to select the most profitable model for the company, indicating the need to incorporate financial metrics into the credit scoring model selection process. Keywords Credit risk; Model’s selection; Statistical learning.

  18. Inferences for Joint Modelling of Repeated Ordinal Scores and Time to Event Data

    Directory of Open Access Journals (Sweden)

    Arindom Chakraborty

    2010-01-01

    Full Text Available In clinical trials and other follow-up studies, it is natural that a response variable is repeatedly measured during follow-up and the occurrence of some key event is also monitored. There has been a considerable study on the joint modelling these measures together with information on covariates. But most of the studies are related to continuous outcomes. In many situations instead of observing continuous outcomes, repeated ordinal outcomes are recorded over time. The joint modelling of such serial outcomes and the time to event data then becomes a bit complicated. In this article we have attempted to analyse such models through a latent variable model. In view of the longitudinal variation on the ordinal outcome measure, it is desirable to account for the dependence between ordered categorical responses and survival time for different causes due to unobserved factors. A flexible Monte Carlo EM (MCEM method based on exact likelihood is proposed that can simultaneously handle the longitudinal ordinal data and also the censored time to event data. A computationally more efficient MCEM method based on approximation of the likelihood is also proposed. The method is applied to a number of ordinal scores and survival data from trials of a treatment for children suffering from Duchenne Muscular Dystrophy. Finally, a simulation study is conducted to examine the finite sample properties of the proposed estimators in the joint model under two different methods.

  19. Predicting Corporate Financial Distress in Sri Lanka: An Extension to Z-Score Model

    Directory of Open Access Journals (Sweden)

    K.G.M. Nanayakkara

    2015-03-01

    Full Text Available The main purpose of this study is to develop a better financial distress prediction model for the Sri Lankan companies using the Z-score model. Fourteen variables have been selected consisting of accounting, cash flow and market based variables. Multivariate Discriminate Analysis (MDA was used as the analytical technique and stepwise method was used to select the variables with the best discriminating power to a dataset of sixty-seven matched pairs of failed and non-failed quoted public companies over the period 2002 to 2011. The final models are validated using the cross validation method. The results indicate that a model with four predictors of earnings before interest and taxes, cash flow from operations to total debts, retained earnings to total assets, and firm size have achieved the classification accuracy of 85.8% in one year prior to the distress with a very low type I error. Moreover, the model has correctly classified the cases by 79.9% and 69.4% in two year and three year prior to distress respectively. The study has further revealed that the companies with negative cutoff value fall into distress zone while the companies with positive cutoff values fall into safety area. Hence, the study concluded that the companies with cutoff values approximately zero should be considered on mitigating actions for financial distress not only on the accounting information but also on the cash flow and market data.

  20. Quality of Life: Meaning, Measurement, and Models

    Science.gov (United States)

    1992-05-01

    occupation of head of household, education, religion , and sex. In the Rosen and Moghadam (1988) study of the quality of life of Army wives, only 3...Navy Personnel Research and Development Center San Diego, California 92152-6800 TN-92-15 May 1992 AD-A250 813 Quality of Life : Meaning, Measurement...and Models Elyse W. Kerce 92-13297 $9ý 1 4 Approved for public release: distribuior , is unlimited. NPRDC-TN-92-15 May 1992 Quality of Life : Meaning

  1. Improving PSA quality of KSNP PSA model

    International Nuclear Information System (INIS)

    Yang, Joon Eon; Ha, Jae Joo

    2004-01-01

    In the RIR (Risk-informed Regulation), PSA (Probabilistic Safety Assessment) plays a major role because it provides overall risk insights for the regulatory body and utility. Therefore, the scope, the level of details and the technical adequacy of PSA, i.e. the quality of PSA is to be ensured for the successful RIR. To improve the quality of Korean PSA, we evaluate the quality of the KSNP (Korean Standard Nuclear Power Plant) internal full-power PSA model based on the 'ASME PRA Standard' and the 'NEI PRA Peer Review Process Guidance.' As a working group, PSA experts of the regulatory body and industry also participated in the evaluation process. It is finally judged that the overall quality of the KSNP PSA is between the ASME Standard Capability Category I and II. We also derive some items to be improved for upgrading the quality of the PSA up to the ASME Standard Capability Category II. In this paper, we show the result of quality evaluation, and the activities to improve the quality of the KSNP PSA model

  2. Atmospheric Model Evaluation Tool for meteorological and air quality simulations

    Science.gov (United States)

    The Atmospheric Model Evaluation Tool compares model predictions to observed data from various meteorological and air quality observation networks to help evaluate meteorological and air quality simulations.

  3. The relationship between observer-based toxicity scoring and patient assessed symptom severity after treatment for head and neck cancer. A correlative cross sectional study of the DAHANCA toxicity scoring system and the EORTC quality of life questionnaires

    International Nuclear Information System (INIS)

    Jensen, Kenneth; Bonde Jensen, Anders; Grau, Cai

    2006-01-01

    Background and purpose: Morbidity is an important issue in cancer research. The observer-based toxicity scoring system used by DAHANCA (the Danish head and neck cancer study group) has proved itself sensitive to differences in toxicity in a large randomised study, but like other toxicity scoring systems it has not been formally validated. Conversely, the EORTC quality of life questionnaire (QLQ) has been validated as a tool for collecting information about the consequences of disease and treatment on the well being of cancer patients. The purpose of this study was to examine the relationship between the two methods of side effect recording. Patients and methods: One hundred and sixteen recurrence free patients with laryngeal (n=44), pharyngeal (n=34) and oral cavity (n=38) cancer attending follow-up after radiotherapy (n=83) or surgery (n=33) completed EORTC C30, the core questionnaire concerning general symptoms and function and EORTC H and N35 the head and neck specific questionnaire. The attending physicians in the follow-up clinic evaluated and recorded DAHANCA toxicity scores on the same patients. Results: The DAHANCA toxicity scoring system and the EORTC QLQ correlated with several clinical endpoints. The conceptually similar endpoints of the two methods correlated significantly. The objective endpoints of the DAHANCA scoring system were only correlated with quality of life endpoints to a very low degree. The DAHANCA toxicity scores had a low sensitivity (0.48-0.74) in detecting equivalent subjective complaints from the questionnaires and the observer-based scoring system severely underestimated patient complaints. A specific patient group where the DAHANCA score had a higher tendency to fail could not be detected. Conclusion: The DAHANCA toxicity score is an effective instrument in assessing objective treatment induced toxicity in head and neck cancer patients but insensitive and non-specific with regard to patient assessed subjective endpoints. This

  4. Independent assessment of matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) sample preparation quality: A novel statistical approach for quality scoring.

    Science.gov (United States)

    Kooijman, Pieter C; Kok, Sander J; Weusten, Jos J A M; Honing, Maarten

    2016-05-05

    Preparation of samples according to an optimized method is crucial for accurate determination of polymer sample characteristics by Matrix-Assisted Laser Desorption Ionization (MALDI) analysis. Sample preparation conditions such as matrix choice, cationization agent, deposition technique or even the deposition volume should be chosen to suit the sample of interest. Many sample preparation protocols have been developed and employed, yet finding the optimal sample preparation protocol remains a challenge. Because an objective comparison between the results of diverse protocols is not possible, "gut-feeling" or "good enough" is often decisive in the search for an optimum. This implies that sub-optimal protocols are used, leading to a loss of mass spectral information quality. To address this problem a novel analytical strategy based on MALDI imaging and statistical data processing was developed in which eight parameters were formulated to objectively quantify the quality of sample deposition and optimal MALDI matrix composition and finally sum up to an overall quality score of the sample deposition. These parameters can be established in a fully automated way using commercially available mass spectrometry imaging instruments without any hardware adjustments. With the newly developed analytical strategy the highest quality MALDI spots were selected, resulting in more reproducible and more valuable spectra for PEG in a variety of matrices. Moreover, our method enables an objective comparison of sample preparation protocols for any analyte and opens up new fields of investigation by presenting MALDI performance data in a clear and concise way. Copyright © 2016 Elsevier B.V. All rights reserved.

  5. Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction

    Directory of Open Access Journals (Sweden)

    Dai Hongying

    2013-01-01

    Full Text Available Abstract Background Multifactor Dimensionality Reduction (MDR has been widely applied to detect gene-gene (GxG interactions associated with complex diseases. Existing MDR methods summarize disease risk by a dichotomous predisposing model (high-risk/low-risk from one optimal GxG interaction, which does not take the accumulated effects from multiple GxG interactions into account. Results We propose an Aggregated-Multifactor Dimensionality Reduction (A-MDR method that exhaustively searches for and detects significant GxG interactions to generate an epistasis enriched gene network. An aggregated epistasis enriched risk score, which takes into account multiple GxG interactions simultaneously, replaces the dichotomous predisposing risk variable and provides higher resolution in the quantification of disease susceptibility. We evaluate this new A-MDR approach in a broad range of simulations. Also, we present the results of an application of the A-MDR method to a data set derived from Juvenile Idiopathic Arthritis patients treated with methotrexate (MTX that revealed several GxG interactions in the folate pathway that were associated with treatment response. The epistasis enriched risk score that pooled information from 82 significant GxG interactions distinguished MTX responders from non-responders with 82% accuracy. Conclusions The proposed A-MDR is innovative in the MDR framework to investigate aggregated effects among GxG interactions. New measures (pOR, pRR and pChi are proposed to detect multiple GxG interactions.

  6. Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction

    Science.gov (United States)

    2013-01-01

    Background Multifactor Dimensionality Reduction (MDR) has been widely applied to detect gene-gene (GxG) interactions associated with complex diseases. Existing MDR methods summarize disease risk by a dichotomous predisposing model (high-risk/low-risk) from one optimal GxG interaction, which does not take the accumulated effects from multiple GxG interactions into account. Results We propose an Aggregated-Multifactor Dimensionality Reduction (A-MDR) method that exhaustively searches for and detects significant GxG interactions to generate an epistasis enriched gene network. An aggregated epistasis enriched risk score, which takes into account multiple GxG interactions simultaneously, replaces the dichotomous predisposing risk variable and provides higher resolution in the quantification of disease susceptibility. We evaluate this new A-MDR approach in a broad range of simulations. Also, we present the results of an application of the A-MDR method to a data set derived from Juvenile Idiopathic Arthritis patients treated with methotrexate (MTX) that revealed several GxG interactions in the folate pathway that were associated with treatment response. The epistasis enriched risk score that pooled information from 82 significant GxG interactions distinguished MTX responders from non-responders with 82% accuracy. Conclusions The proposed A-MDR is innovative in the MDR framework to investigate aggregated effects among GxG interactions. New measures (pOR, pRR and pChi) are proposed to detect multiple GxG interactions. PMID:23294634

  7. Risk score modeling of multiple gene to gene interactions using aggregated-multifactor dimensionality reduction.

    Science.gov (United States)

    Dai, Hongying; Charnigo, Richard J; Becker, Mara L; Leeder, J Steven; Motsinger-Reif, Alison A

    2013-01-08

    Multifactor Dimensionality Reduction (MDR) has been widely applied to detect gene-gene (GxG) interactions associated with complex diseases. Existing MDR methods summarize disease risk by a dichotomous predisposing model (high-risk/low-risk) from one optimal GxG interaction, which does not take the accumulated effects from multiple GxG interactions into account. We propose an Aggregated-Multifactor Dimensionality Reduction (A-MDR) method that exhaustively searches for and detects significant GxG interactions to generate an epistasis enriched gene network. An aggregated epistasis enriched risk score, which takes into account multiple GxG interactions simultaneously, replaces the dichotomous predisposing risk variable and provides higher resolution in the quantification of disease susceptibility. We evaluate this new A-MDR approach in a broad range of simulations. Also, we present the results of an application of the A-MDR method to a data set derived from Juvenile Idiopathic Arthritis patients treated with methotrexate (MTX) that revealed several GxG interactions in the folate pathway that were associated with treatment response. The epistasis enriched risk score that pooled information from 82 significant GxG interactions distinguished MTX responders from non-responders with 82% accuracy. The proposed A-MDR is innovative in the MDR framework to investigate aggregated effects among GxG interactions. New measures (pOR, pRR and pChi) are proposed to detect multiple GxG interactions.

  8. Explicit Modeling of Ancestry Improves Polygenic Risk Scores and BLUP Prediction.

    Science.gov (United States)

    Chen, Chia-Yen; Han, Jiali; Hunter, David J; Kraft, Peter; Price, Alkes L

    2015-09-01

    Polygenic prediction using genome-wide SNPs can provide high prediction accuracy for complex traits. Here, we investigate the question of how to account for genetic ancestry when conducting polygenic prediction. We show that the accuracy of polygenic prediction in structured populations may be partly due to genetic ancestry. However, we hypothesized that explicitly modeling ancestry could improve polygenic prediction accuracy. We analyzed three GWAS of hair color (HC), tanning ability (TA), and basal cell carcinoma (BCC) in European Americans (sample size from 7,440 to 9,822) and considered two widely used polygenic prediction approaches: polygenic risk scores (PRSs) and best linear unbiased prediction (BLUP). We compared polygenic prediction without correction for ancestry to polygenic prediction with ancestry as a separate component in the model. In 10-fold cross-validation using the PRS approach, the R(2) for HC increased by 66% (0.0456-0.0755; P ancestry, which prevents ancestry effects from entering into each SNP effect and being overweighted. Surprisingly, explicitly modeling ancestry produces a similar improvement when using the BLUP approach, which fits all SNPs simultaneously in a single variance component and causes ancestry to be underweighted. We validate our findings via simulations, which show that the differences in prediction accuracy will increase in magnitude as sample sizes increase. In summary, our results show that explicitly modeling ancestry can be important in both PRS and BLUP prediction. © 2015 WILEY PERIODICALS, INC.

  9. Explicit modeling of ancestry improves polygenic risk scores and BLUP prediction

    Science.gov (United States)

    Chen, Chia-Yen; Han, Jiali; Hunter, David J.; Kraft, Peter; Price, Alkes L.

    2016-01-01

    Polygenic prediction using genome-wide SNPs can provide high prediction accuracy for complex traits. Here, we investigate the question of how to account for genetic ancestry when conducting polygenic prediction. We show that the accuracy of polygenic prediction in structured populations may be partly due to genetic ancestry. However, we hypothesized that explicitly modeling ancestry could improve polygenic prediction accuracy. We analyzed three GWAS of hair color, tanning ability and basal cell carcinoma (BCC) in European Americans (sample size from 7,440 to 9,822) and considered two widely used polygenic prediction approaches: polygenic risk scores (PRS) and Best Linear Unbiased Prediction (BLUP). We compared polygenic prediction without correction for ancestry to polygenic prediction with ancestry as a separate component in the model. In 10-fold cross-validation using the PRS approach, the R2 for hair color increased by 66% (0.0456 to 0.0755; pancestry, which prevents ancestry effects from entering into each SNP effect and being over-weighted. Surprisingly, explicitly modeling ancestry produces a similar improvement when using the BLUP approach, which fits all SNPs simultaneously in a single variance component and causes ancestry to be underweighted. We validate our findings via simulations, which show that the differences in prediction accuracy will increase in magnitude as sample sizes increase. In summary, our results show that explicitly modeling ancestry can be important in both PRS and BLUP prediction. PMID:25995153

  10. Model based monitoring of stormwater runoff quality

    DEFF Research Database (Denmark)

    Birch, Heidi; Vezzaro, Luca; Mikkelsen, Peter Steen

    2012-01-01

    Monitoring of micropollutants (MP) in stormwater is essential to evaluate the impacts of stormwater on the receiving aquatic environment. The aim of this study was to investigate how different strategies for monitoring of stormwater quality (combination of model with field sampling) affect...... the information obtained about MPs discharged from the monitored system. A dynamic stormwater quality model was calibrated using MP data collected by volume-proportional and passive sampling in a storm drainage system in the outskirts of Copenhagen (Denmark) and a 10-year rain series was used to find annual...

  11. DockQ: A Quality Measure for Protein-Protein Docking Models.

    Directory of Open Access Journals (Sweden)

    Sankar Basu

    Full Text Available The state-of-the-art to assess the structural quality of docking models is currently based on three related yet independent quality measures: Fnat, LRMS, and iRMS as proposed and standardized by CAPRI. These quality measures quantify different aspects of the quality of a particular docking model and need to be viewed together to reveal the true quality, e.g. a model with relatively poor LRMS (>10Å might still qualify as 'acceptable' with a descent Fnat (>0.50 and iRMS (<3.0Å. This is also the reason why the so called CAPRI criteria for assessing the quality of docking models is defined by applying various ad-hoc cutoffs on these measures to classify a docking model into the four classes: Incorrect, Acceptable, Medium, or High quality. This classification has been useful in CAPRI, but since models are grouped in only four bins it is also rather limiting, making it difficult to rank models, correlate with scoring functions or use it as target function in machine learning algorithms. Here, we present DockQ, a continuous protein-protein docking model quality measure derived by combining Fnat, LRMS, and iRMS to a single score in the range [0, 1] that can be used to assess the quality of protein docking models. By using DockQ on CAPRI models it is possible to almost completely reproduce the original CAPRI classification into Incorrect, Acceptable, Medium and High quality. An average PPV of 94% at 90% Recall demonstrating that there is no need to apply predefined ad-hoc cutoffs to classify docking models. Since DockQ recapitulates the CAPRI classification almost perfectly, it can be viewed as a higher resolution version of the CAPRI classification, making it possible to estimate model quality in a more quantitative way using Z-scores or sum of top ranked models, which has been so valuable for the CASP community. The possibility to directly correlate a quality measure to a scoring function has been crucial for the development of scoring functions for

  12. Health-related Quality of Life Scores Changes Significantly within the First Three Months After Hernia Mesh Repair

    DEFF Research Database (Denmark)

    Christoffersen, Mette W; Rosenberg, Jacob; Jorgensen, Lars Nannestad

    2014-01-01

    or change of scores on PROMs as a function of time after hernia repair, we compared the CCS scores with the visual analog scale (VAS) scores reflecting the subdomains of the CCS. RESULTS: A total of 166 patients completed the study. CCS scores for QoL, pain, sensation of mesh, and activity limitations...... changed significantly with time during the 90-day study period. Furthermore, CCS and VAS showed significant agreement and correlation (ρ = 0.52-0.82, P

  13. Correlation between Body Condition Score, Blood Biochemical Metabolites, Milk Yield and Quality in Algerian Montbéliarde Cattle

    Directory of Open Access Journals (Sweden)

    Charef-Eddine Mouffok1,2,*, Toufik Madani1,2, Lounis Semara1, Nadhira Ayache1 and Amina Rahal1

    2013-04-01

    Full Text Available This study aimed to investigate the correlation between body condition score (BCS, blood biochemical metabolites, milk yield (MY and quality (Mfat in Montbéliarde cattle (31 cows reared in 5 farms of Algerian semi arid area. The BCS was measured in dry and peak of lactation (6 weeks after calving. Blood samples were taken at the time of body condition (BC measurement for determination of energy (Glucose, cholesterol, triglycerides and B-Hydroxybutyrate, nitrogen (urea and albumin and mineral (calcium metabolites. Milk yield was recorded in the 6th week of lactation (peak. A sample of milk for each cow was used to determinate milk fat, density and acidity. The results showed a significant decrease in postpartum BCS accompanied by an increase in cholesterol and B-Hydroxybutyrate (BHB concentration. The correlation analysis showed that BHB concentration in pre calving was negatively correlated with BCS (r=-0.321; P<0.05 and cholesterol (r=-0.308; P<0.05. In postpartum, BCS was negatively correlated with cholesterol (r=-0.416; P<0.05, urea (r=-0.366; P<0.05 and BHB (r=-0.487; P<0.05. However, the level of milk production decreased significantly with high glucose (r=-0.449; P<0.05 and BHB (r=-0.514; P<0.05. The fat content increased significantly with blood triglycerides (r=0.681; P<0.05 and BHB (r=0.522; P<0.05 concentration, indicating a high mobilization of body reserves used for the synthesis of milk fat. In conclusion, it can be assumed that the rate of BHB seems to be the best indicator of the nutritional status of dairy cows that determines their production level and quality.

  14. Ordering individuals with sum scores: the introduction of the nonparametric Rasch model

    NARCIS (Netherlands)

    Zwitser, R.J.; Maris, G.

    2016-01-01

    When a simple sum or number-correct score is used to evaluate the ability of individual testees, then, from an accountability perspective, the inferences based on the sum score should be the same as the inferences based on the complete response pattern. This requirement is fulfilled if the sum score

  15. Evaluation and Development of Pavement Scores, Performance Models and Needs Estimates for the TXDOT Pavement Management Information System : Final Report

    Science.gov (United States)

    2012-10-01

    This project conducted a thorough review of the existing Pavement Management Information System (PMIS) database, : performance models, needs estimates, utility curves, and scores calculations, as well as a review of District practices : concerning th...

  16. Regional Emphysema Score Predicting Overall Survival, Quality of Life, and Pulmonary Function Recovery in Early-Stage Lung Cancer Patients.

    Science.gov (United States)

    Dai, Jie; Liu, Ming; Swensen, Stephen J; Stoddard, Shawn M; Wampfler, Jason A; Limper, Andrew H; Jiang, Gening; Yang, Ping

    2017-05-01

    Pulmonary emphysema is a frequent comorbidity in lung cancer, but its role in tumor prognosis remains obscure. Our aim was to evaluate the impact of the regional emphysema score (RES) on a patient's overall survival, quality of life (QOL), and recovery of pulmonary function in stage I to II lung cancer. Between 1997 and 2009, a total of 1073 patients were identified and divided into two surgical groups-cancer in the emphysematous (group 1 [n = 565]) and nonemphysematous (group 2 [n = 435]) regions-and one nonsurgical group (group 3 [n = 73]). RES was derived from the emphysematous region and categorized as mild (≤5%), moderate (6%-24%), or severe (25%-60%). In group 1, patients with a moderate or severe RES experienced slight decreases in postoperative forced expiratory volume in 1 second, but increases in the ratio of forced expiratory volume in 1 second to forced vital capacity compared with those with a mild RES (p lung function. RES is also predictive of posttreatment QOL related to dyspnea in early-stage lung cancer. In both surgical groups, RES is an independent predictor of survival. Copyright © 2017 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

  17. Assessing Trust and Effectiveness in Virtual Teams: Latent Growth Curve and Latent Change Score Models

    Directory of Open Access Journals (Sweden)

    Michael D. Coovert

    2017-08-01

    Full Text Available Trust plays a central role in the effectiveness of work groups and teams. This is the case for both face-to-face and virtual teams. Yet little is known about the development of trust in virtual teams. We examined cognitive and affective trust and their relationship to team effectiveness as reflected through satisfaction with one’s team and task performance. Latent growth curve analysis reveals both trust types start at a significant level with individual differences in that initial level. Cognitive trust follows a linear growth pattern while affective trust is overall non-linear, but becomes linear once established. Latent change score models are utilized to examine change in trust and also its relationship with satisfaction with the team and team performance. In examining only change in trust and its relationship to satisfaction there appears to be a straightforward influence of trust on satisfaction and satisfaction on trust. However, when incorporated into a bivariate coupling latent change model the dynamics of the relationship are revealed. A similar pattern holds for trust and task performance; however, in the bivariate coupling change model a more parsimonious representation is preferred.

  18. A study of association of Oncotype DX recurrence score with DCE-MRI characteristics using multivariate machine learning models.

    Science.gov (United States)

    Saha, Ashirbani; Harowicz, Michael R; Wang, Weiyao; Mazurowski, Maciej A

    2018-05-01

    To determine whether multivariate machine learning models of algorithmically assessed magnetic resonance imaging (MRI) features from breast cancer patients are associated with Oncotype DX (ODX) test recurrence scores. A set of 261 female patients with invasive breast cancer, pre-operative dynamic contrast enhanced magnetic resonance (DCE-MR) images and available ODX score at our institution was identified. A computer algorithm extracted a comprehensive set of 529 features from the DCE-MR images of these patients. The set of patients was divided into a training set and a test set. Using the training set we developed two machine learning-based models to discriminate (1) high ODX scores from intermediate and low ODX scores, and (2) high and intermediate ODX scores from low ODX scores. The performance of these models was evaluated on the independent test set. High against low and intermediate ODX scores were predicted by the multivariate model with AUC 0.77 (95% CI 0.56-0.98, p replacement of ODX with imaging alone.

  19. Quality assessment of human behavior models

    NARCIS (Netherlands)

    Doesburg, W.A. van

    2007-01-01

    Accurate and efficient models of human behavior offer great potential in military and crisis management applications. However, little attention has been given to the man ner in which it can be determined if this potential is actually realized. In this study a quality assessment approach that

  20. A formal model for total quality management

    NARCIS (Netherlands)

    S.C. van der Made-Potuijt; H.B. Bertsch (Boudewijn); L.P.J. Groenewegen

    1996-01-01

    textabstractTotal Quality Management (TQM) is a systematic approach to managing a company. TQM is systematic in the sense that it is uses facts through observation, analysis and measurable goals. There are theoretical descriptions of this management concept, but there is no formal model of it. A

  1. Putting people into water quality modelling.

    Science.gov (United States)

    Strickert, G. E.; Hassanzadeh, E.; Noble, B.; Baulch, H. M.; Morales-Marin, L. A.; Lindenschmidt, K. E.

    2017-12-01

    Water quality in the Qu'Appelle River Basin, Saskatchewan is under pressure due to nutrient pollution entering the river system from major cities, industrial zones and agricultural areas. Among these stressors, agricultural activities are basin-wide; therefore, they are the largest non-point source of water pollution in this region. The dynamics of agricultural impacts on water quality are complex and stem from decisions and activities of two distinct stakeholder groups, namely grain farmers and cattle producers, which have different business plans, values, and attitudes towards water quality. As a result, improving water quality in this basin requires engaging with stakeholders to: (1) understand their perspectives regarding a range of agricultural Beneficial Management Practices (BMPs) that can improve water quality in the region, (2) show them the potential consequences of their selected BMPs, and (3) work with stakeholders to better understand the barriers and incentives to implement the effective BMPs. In this line, we held a series of workshops in the Qu'Appelle River Basin with both groups of stakeholders to understand stakeholders' viewpoints about alternative agricultural BMPs and their impact on water quality. Workshop participants were involved in the statement sorting activity (Q-sorts), group discussions, as well as mapping activity. The workshop outcomes show that stakeholder had four distinct viewpoints about the BMPs that can improve water quality, i.e., flow and erosion control, fertilizer management, cattle site management, as well as mixed cattle and wetland management. Accordingly, to simulate the consequences of stakeholder selected BMPs, a conceptual water quality model was developed using System Dynamics (SD). The model estimates potential changes in water quality at the farm, tributary and regional scale in the Qu'Appelle River Basin under each and/or combination of stakeholder selected BMPs. The SD model was then used for real

  2. Association between Diet-Quality Scores, Adiposity, Total Cholesterol and Markers of Nutritional Status in European Adults: Findings from the Food4Me Study

    Directory of Open Access Journals (Sweden)

    Rosalind Fallaize

    2018-01-01

    Full Text Available Diet-quality scores (DQS, which are developed across the globe, are used to define adherence to specific eating patterns and have been associated with risk of coronary heart disease and type-II diabetes. We explored the association between five diet-quality scores (Healthy Eating Index, HEI; Alternate Healthy Eating Index, AHEI; MedDietScore, MDS; PREDIMED Mediterranean Diet Score, P-MDS; Dutch Healthy Diet-Index, DHDI and markers of metabolic health (anthropometry, objective physical activity levels (PAL, and dried blood spot total cholesterol (TC, total carotenoids, and omega-3 index in the Food4Me cohort, using regression analysis. Dietary intake was assessed using a validated Food Frequency Questionnaire. Participants (n = 1480 were adults recruited from seven European Union (EU countries. Overall, women had higher HEI and AHEI than men (p < 0.05, and scores varied significantly between countries. For all DQS, higher scores were associated with lower body mass index, lower waist-to-height ratio and waist circumference, and higher total carotenoids and omega-3-index (p trends < 0.05. Higher HEI, AHEI, DHDI, and P-MDS scores were associated with increased daily PAL, moderate and vigorous activity, and reduced sedentary behaviour (p trend < 0.05. We observed no association between DQS and TC. To conclude, higher DQS, which reflect better dietary patterns, were associated with markers of better nutritional status and metabolic health.

  3. Association between Diet-Quality Scores, Adiposity, Total Cholesterol and Markers of Nutritional Status in European Adults: Findings from the Food4Me Study

    Science.gov (United States)

    Fallaize, Rosalind; Celis-Morales, Carlos; Macready, Anna L.; Marsaux, Cyril F. M.; O’Donovan, Clare B.; Kolossa, Silvia; Moschonis, George; Walsh, Marianne C.; Brennan, Lorraine; Bouwman, Jildau; Manios, Yannis; Daniel, Hannelore; Saris, Wim H. M.; Gundersen, Thomas E.; Drevon, Christian A.; Gibney, Michael J.; Mathers, John C.

    2018-01-01

    Diet-quality scores (DQS), which are developed across the globe, are used to define adherence to specific eating patterns and have been associated with risk of coronary heart disease and type-II diabetes. We explored the association between five diet-quality scores (Healthy Eating Index, HEI; Alternate Healthy Eating Index, AHEI; MedDietScore, MDS; PREDIMED Mediterranean Diet Score, P-MDS; Dutch Healthy Diet-Index, DHDI) and markers of metabolic health (anthropometry, objective physical activity levels (PAL), and dried blood spot total cholesterol (TC), total carotenoids, and omega-3 index) in the Food4Me cohort, using regression analysis. Dietary intake was assessed using a validated Food Frequency Questionnaire. Participants (n = 1480) were adults recruited from seven European Union (EU) countries. Overall, women had higher HEI and AHEI than men (p < 0.05), and scores varied significantly between countries. For all DQS, higher scores were associated with lower body mass index, lower waist-to-height ratio and waist circumference, and higher total carotenoids and omega-3-index (p trends < 0.05). Higher HEI, AHEI, DHDI, and P-MDS scores were associated with increased daily PAL, moderate and vigorous activity, and reduced sedentary behaviour (p trend < 0.05). We observed no association between DQS and TC. To conclude, higher DQS, which reflect better dietary patterns, were associated with markers of better nutritional status and metabolic health. PMID:29316612

  4. Evaluation of Diabetes Quality of Care Based on a Care Scoring System among People Referring to Diabetes Clinic in Ardabil, 2014

    Directory of Open Access Journals (Sweden)

    J Ataei

    2015-06-01

    Full Text Available Background & objectives: Successful implementation of diabetes care can reduce acute and chronic complications of diabetes. This study was conducted to evaluate the quality of care according to a care scoring system among people with type 2 diabetes referring to the diabetes clinic in Ardabil. Methods: This cross sectional study was conducted in 2014 and a total of 300 people with type 2 diabetes in age range of 20-70 years old were included via convenience sampling. Data were collected by an interviewer using a structured questionnaire and checklist. Each patient was classified according to a quality of care scoring system into 3 categories: ≤10, 15-20, >20. Statistical analysis performed by SPSS v.20 software and descriptive analysis used to display data as frequency tables and graphs. Analytical tests such as ANOVA, Kruskal-Wallis, Chi squared, and fisher exact test were also used to analyze the data. Results: The mean age of patients was 54.13 ± 9.13 and the majority of them were women (72.3%. The mean of BMI and HbA1c was 29.58 ± 4.77 and 8.93± 2.13, respectively. The mean of FBS was 191.18 ± 84.23 and the average length of disease was 7.74±5.89 years. The mean of quality of care score among participants was 23.20±9.99. About one-third of patients (29.7% had a quality care score ≤10, half of them (51% had a score between 15-20, and only 19.35% had a score >20. There was an association between HbA1c, FBS, diastolic blood pressure, cholesterol and LDL with a quality of care score which was statistically significant (p<0.05. Conclusion: In this study there was a gap between the current quality of care of patients and recommended standards. Therefore in order to minimize the current barriers and problems it is recommended to implement an effective interventional program. In addition, using a quality care scoring system is a rapid, easy and valid method for evaluating diabetes quality of care.

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

    Science.gov (United States)

    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. Copyright © 2015 Elsevier Ltd. All rights reserved.

  6. Maximum Potential Score (MPS: An operating model for a successful customer-focused strategy.

    Directory of Open Access Journals (Sweden)

    Cabello González, José Manuel

    2015-12-01

    Full Text Available One of marketers’ chief objectives is to achieve customer loyalty, which is a key factor for profitable growth. Therefore, they need to develop a strategy that attracts and maintains customers, giving them adequate motives, both tangible (prices and promotions and intangible (personalized service and treatment, to satisfy a customer and make him loyal to the company. Finding a way to accurately measure satisfaction and customer loyalty is very important. With regard to typical Relationship Marketing measures, we can consider listening to customers, which can help to achieve a competitive sustainable advantage. Customer satisfaction surveys are essential tools for listening to customers. Short questionnaires have gained considerable acceptance among marketers as a means to achieve a customer satisfaction measure. Our research provides an indication of the benefits of a short questionnaire (one/three questions. We find that the number of questions survey is significantly related to the participation in the survey (Net Promoter Score or NPS. We also prove that a the three question survey is more likely to have more participants than a traditional survey (Maximum Potential Score or MPS . Our main goal is to analyse one method as a potential predictor of customer loyalty. Using surveys, we attempt to empirically establish the causal factors in determining the satisfaction of customers. This paper describes a maximum potential operating model that captures with a three questions survey, important elements for a successful customer-focused strategy. MPS may give us lower participation rates than NPS but important information that helps to convert unhappy customers or just satisfied customers, into loyal customers.

  7. Development and validation of a novel predictive scoring model for microvascular invasion in patients with hepatocellular carcinoma

    International Nuclear Information System (INIS)

    Zhao, Hui; Hua, Ye; Dai, Tu; He, Jian; Tang, Min; Fu, Xu; Mao, Liang; Jin, Huihan; Qiu, Yudong

    2017-01-01

    Highlights: • This study aimed to establish a novel predictive scoring model of MVI in HCC patients. • Preoperative imaging features on CECT, such as intratumoral arteries, non-nodule type and absence of radiological tumor capsule were independent predictors for MVI. • The predictive scoring model is of great value in prediction of MVI regardless of tumor size. - Abstract: Purpose: Microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) cannot be accurately predicted preoperatively. This study aimed to establish a predictive scoring model of MVI in solitary HCC patients without macroscopic vascular invasion. Methods: A total of 309 consecutive HCC patients who underwent curative hepatectomy were divided into the derivation (n = 206) and validation cohort (n = 103). A predictive scoring model of MVI was established according to the valuable predictors in the derivation cohort based on multivariate logistic regression analysis. The performance of the predictive model was evaluated in the derivation and validation cohorts. Results: Preoperative imaging features on CECT, such as intratumoral arteries, non-nodular type of HCC and absence of radiological tumor capsule were independent predictors for MVI. The predictive scoring model was established according to the β coefficients of the 3 predictors. Area under receiver operating characteristic (AUROC) of the predictive scoring model was 0.872 (95% CI, 0.817-0.928) and 0.856 (95% CI, 0.771-0.940) in the derivation and validation cohorts. The positive and negative predictive values were 76.5% and 88.0% in the derivation cohort and 74.4% and 88.3% in the validation cohort. The performance of the model was similar between the patients with tumor size ≤5 cm and >5 cm in AUROC (P = 0.910). Conclusions: The predictive scoring model based on intratumoral arteries, non-nodular type of HCC, and absence of the radiological tumor capsule on preoperative CECT is of great value in the prediction of MVI

  8. Development and validation of a novel predictive scoring model for microvascular invasion in patients with hepatocellular carcinoma

    Energy Technology Data Exchange (ETDEWEB)

    Zhao, Hui [Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu (China); Department of Hepatopancreatobiliary Surgery, Nanjing Medical University Affiliated Wuxi Second People' s Hospital, Wuxi, Jiangsu (China); Hua, Ye [Department of Neurology, Nanjing Medical University Affiliated Wuxi Second People’s Hospital, Wuxi, Jiangsu (China); Dai, Tu [Department of Hepatopancreatobiliary Surgery, Nanjing Medical University Affiliated Wuxi Second People' s Hospital, Wuxi, Jiangsu (China); He, Jian; Tang, Min [Department of Radiology, Drum Tower Hospital, Medical School of Nanjing University, Nanjing, Jiangsu (China); Fu, Xu; Mao, Liang [Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu (China); Jin, Huihan, E-mail: 45687061@qq.com [Department of Hepatopancreatobiliary Surgery, Nanjing Medical University Affiliated Wuxi Second People' s Hospital, Wuxi, Jiangsu (China); Qiu, Yudong, E-mail: yudongqiu510@163.com [Department of Hepatopancreatobiliary Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu (China)

    2017-03-15

    Highlights: • This study aimed to establish a novel predictive scoring model of MVI in HCC patients. • Preoperative imaging features on CECT, such as intratumoral arteries, non-nodule type and absence of radiological tumor capsule were independent predictors for MVI. • The predictive scoring model is of great value in prediction of MVI regardless of tumor size. - Abstract: Purpose: Microvascular invasion (MVI) in patients with hepatocellular carcinoma (HCC) cannot be accurately predicted preoperatively. This study aimed to establish a predictive scoring model of MVI in solitary HCC patients without macroscopic vascular invasion. Methods: A total of 309 consecutive HCC patients who underwent curative hepatectomy were divided into the derivation (n = 206) and validation cohort (n = 103). A predictive scoring model of MVI was established according to the valuable predictors in the derivation cohort based on multivariate logistic regression analysis. The performance of the predictive model was evaluated in the derivation and validation cohorts. Results: Preoperative imaging features on CECT, such as intratumoral arteries, non-nodular type of HCC and absence of radiological tumor capsule were independent predictors for MVI. The predictive scoring model was established according to the β coefficients of the 3 predictors. Area under receiver operating characteristic (AUROC) of the predictive scoring model was 0.872 (95% CI, 0.817-0.928) and 0.856 (95% CI, 0.771-0.940) in the derivation and validation cohorts. The positive and negative predictive values were 76.5% and 88.0% in the derivation cohort and 74.4% and 88.3% in the validation cohort. The performance of the model was similar between the patients with tumor size ≤5 cm and >5 cm in AUROC (P = 0.910). Conclusions: The predictive scoring model based on intratumoral arteries, non-nodular type of HCC, and absence of the radiological tumor capsule on preoperative CECT is of great value in the prediction of MVI

  9. Scoring the DSM-IV personality disorders using the Five-Factor Model: development and validation of normative scores for North American, French, and Dutch-Flemish samples.

    Science.gov (United States)

    Miller, Joshua D; Lynam, Donald R; Rolland, Jean-Pierre; De Fruyt, Filip; Reynolds, Sarah K; Pham-Scottez, Alexandra; Baker, Spencer R; Bagby, R Michael

    2008-10-01

    Five-Factor Model (FFM) personality disorder (PD) counts have demonstrated significant convergent and discriminant validity with DSM-IV PD symptoms. However, these FFM PD counts are of limited clinical use without normative data because it is difficult to determine what a specific score means with regard to the relative level of elevation. The current study presents data from three large normative samples that can be used as norms for the FFM PD counts in the respective countries: United States (N = 1,000), France (N = 801), and Belgium-Netherlands (N = 549). The present study also examines the performance, with regard to diagnostic efficiency, of statistically-defined cut-offs at 1.5 standard deviations above the mean (T > or = 65) versus previously identified cut-offs using receiver-operator characteristics (ROC) analyses. These cut-offs are tested in three clinical samples-one from each of the aforementioned countries. In general, the T > or = 65 cut-offs performed similarly to those identified using ROC analyses and manifested properties relevant to a screening instrument. These normative data allow FFM data to be used in a flexible and comprehensive manner, which may include scoring this type of personality data in order to screen for DSM-IV PD constructs.

  10. The Protein Digestibility-Corrected Amino Acid Score (PDCAAS)--a concept for describing protein quality in foods and food ingredients: a critical review.

    Science.gov (United States)

    Schaafsma, Gertjan

    2005-01-01

    Protein Digestibility-Corrected Amino Score (PDCAAS) is discussed. PDCAAS is now widely used as a routine assay for protein quality evaluation, replacing the more traditional biological methods [e.g., measurement of the Protein Efficiency Ratio (PER) in rats]. PDCAAS is based on comparison of the essential amino acid content of a test protein with that of a reference essential amino acid pattern and a correction for differences in protein digestibility as determined using a rat assay. Although PDCAAS is a rapid and useful method, it often shows discrepancies when compared to PER values. These discrepancies relate to the following issues: uncertainty about the validity of reference patterns, invalidity of correction for fecal (versus ileal) digestibility, truncation of PDCAAS values to 100%, failure to obtain full biological response after supplementation of the limiting essential amino acid, discrepancies between protein and amino acid digestibility, effects of processing on protein quality, and effects of the presence of antinutritional factors in the matrix containing the protein. Part of the discrepancy between PDCAAS and PER can be overcome by modifications of PDCAAS. This article describes some proposed modifications and puts forward the suggestion that the rat protein fecal digestibility assay be replaced by an in vitro ileal amino acid digestibility assay based on a computer-controlled gastrointestinal model.

  11. Klang River water quality modelling using music

    Science.gov (United States)

    Zahari, Nazirul Mubin; Zawawi, Mohd Hafiz; Muda, Zakaria Che; Sidek, Lariyah Mohd; Fauzi, Nurfazila Mohd; Othman, Mohd Edzham Fareez; Ahmad, Zulkepply

    2017-09-01

    Water is an essential resource that sustains life on earth; changes in the natural quality and distribution of water have ecological impacts that can sometimes be devastating. Recently, Malaysia is facing many environmental issues regarding water pollution. The main causes of river pollution are rapid urbanization, arising from the development of residential, commercial, industrial sites, infrastructural facilities and others. The purpose of the study was to predict the water quality of the Connaught Bridge Power Station (CBPS), Klang River. Besides that, affects to the low tide and high tide and. to forecast the pollutant concentrations of the Biochemical Oxygen Demand (BOD) and Total Suspended Solid (TSS) for existing land use of the catchment area through water quality modeling (by using the MUSIC software). Besides that, to identifying an integrated urban stormwater treatment system (Best Management Practice or BMPs) to achieve optimal performance in improving the water quality of the catchment using the MUSIC software in catchment areas having tropical climates. Result from MUSIC Model such as BOD5 at station 1 can be reduce the concentration from Class IV to become Class III. Whereas, for TSS concentration from Class III to become Class II at the station 1. The model predicted a mean TSS reduction of 0.17%, TP reduction of 0.14%, TN reduction of 0.48% and BOD5 reduction of 0.31% for Station 1 Thus, from the result after purposed BMPs the water quality is safe to use because basically water quality monitoring is important due to threat such as activities are harmful to aquatic organisms and public health.

  12. Score As You Lift (SAYL): A Statistical Relational Learning Approach to Uplift Modeling.

    Science.gov (United States)

    Nassif, Houssam; Kuusisto, Finn; Burnside, Elizabeth S; Page, David; Shavlik, Jude; Costa, Vítor Santos

    We introduce Score As You Lift (SAYL), a novel Statistical Relational Learning (SRL) algorithm, and apply it to an important task in the diagnosis of breast cancer. SAYL combines SRL with the marketing concept of uplift modeling, uses the area under the uplift curve to direct clause construction and final theory evaluation, integrates rule learning and probability assignment, and conditions the addition of each new theory rule to existing ones. Breast cancer, the most common type of cancer among women, is categorized into two subtypes: an earlier in situ stage where cancer cells are still confined, and a subsequent invasive stage. Currently older women with in situ cancer are treated to prevent cancer progression, regardless of the fact that treatment may generate undesirable side-effects, and the woman may die of other causes. Younger women tend to have more aggressive cancers, while older women tend to have more indolent tumors. Therefore older women whose in situ tumors show significant dissimilarity with in situ cancer in younger women are less likely to progress, and can thus be considered for watchful waiting. Motivated by this important problem, this work makes two main contributions. First, we present the first multi-relational uplift modeling system, and introduce, implement and evaluate a novel method to guide search in an SRL framework. Second, we compare our algorithm to previous approaches, and demonstrate that the system can indeed obtain differential rules of interest to an expert on real data, while significantly improving the data uplift.

  13. A Clinical Communication Strategy to Enhance Effectiveness and CAHPS Scores: The ALERT Model.

    Science.gov (United States)

    Hardee, James T; Kasper, Ilene K

    2008-01-01

    The Consumer Assessment of Healthcare Providers and Systems (CAHPS) program is a national annual report that surveys patients and rates health plans on a variety of metrics, including claims processing, customer service, office staff helpfulness, and ability to get needed care. Although physicians may feel they have no immediate control over many aspects of this questionnaire, there is an important area of the survey where they do have direct control: "how well the doctor communicates."It is well established that effective physician-patient communication has beneficial effects not only on physician and patient satisfaction but also on adherence to medical advice, diagnostic accuracy, and malpractice risk. The creators of the CAHPS survey developed and incorporated four questions seeking to ascertain the patient's impression of the physician's communication skills. These questions assess how well the physician listened carefully to the patient, how often the physician explained things understandably, how often the physician showed respect for what the patient said, and how often the physician spent enough time with the patient.Many excellent clinical communication models exist that touch on aspects of the CAHPS topics, but it behooves physicians to be mindful of the exact survey questions. The ALERT model of communication was developed to facilitate physicians' recall of these measures. By incorporating key verbal and nonverbal communication skills, clinicians can address and improve their scores on this important area of the CAHPS survey.

  14. Voice Quality Modelling for Expressive Speech Synthesis

    Directory of Open Access Journals (Sweden)

    Carlos Monzo

    2014-01-01

    Full Text Available This paper presents the perceptual experiments that were carried out in order to validate the methodology of transforming expressive speech styles using voice quality (VoQ parameters modelling, along with the well-known prosody (F0, duration, and energy, from a neutral style into a number of expressive ones. The main goal was to validate the usefulness of VoQ in the enhancement of expressive synthetic speech in terms of speech quality and style identification. A harmonic plus noise model (HNM was used to modify VoQ and prosodic parameters that were extracted from an expressive speech corpus. Perception test results indicated the improvement of obtained expressive speech styles using VoQ modelling along with prosodic characteristics.

  15. 5'-end sequences of budding yeast full-length cDNA clones and quality scores - Budding yeast cDNA sequencing project | LSDB Archive [Life Science Database Archive metadata

    Lifescience Database Archive (English)

    Full Text Available List Contact us Budding yeast cDNA sequencing project 5'-end sequences of budding yeast full-length cDNA clones and quality... scores Data detail Data name 5'-end sequences of budding yeast full-length cDNA clones and quality...or-capping method, the sequence quality score generated by the Phred software, and links to SGD, dbEST and U...es. FASTA format. Quality Phred's quality score About This Database Database Desc...g yeast full-length cDNA clones and quality scores - Budding yeast cDNA sequencing project | LSDB Archive ...

  16. Gaia: automated quality assessment of protein structure models.

    Science.gov (United States)

    Kota, Pradeep; Ding, Feng; Ramachandran, Srinivas; Dokholyan, Nikolay V

    2011-08-15

    Increasing use of structural modeling for understanding structure-function relationships in proteins has led to the need to ensure that the protein models being used are of acceptable quality. Quality of a given protein structure can be assessed by comparing various intrinsic structural properties of the protein to those observed in high-resolution protein structures. In this study, we present tools to compare a given structure to high-resolution crystal structures. We assess packing by calculating the total void volume, the percentage of unsatisfied hydrogen bonds, the number of steric clashes and the scaling of the accessible surface area. We assess covalent geometry by determining bond lengths, angles, dihedrals and rotamers. The statistical parameters for the above measures, obtained from high-resolution crystal structures enable us to provide a quality-score that points to specific areas where a given protein structural model needs improvement. We provide these tools that appraise protein structures in the form of a web server Gaia (http://chiron.dokhlab.org). Gaia evaluates the packing and covalent geometry of a given protein structure and provides quantitative comparison of the given structure to high-resolution crystal structures. dokh@unc.edu Supplementary data are available at Bioinformatics online.

  17. BANKRUPTCY PREDICTION MODEL WITH ZETAc OPTIMAL CUT-OFF SCORE TO CORRECT TYPE I ERRORS

    Directory of Open Access Journals (Sweden)

    Mohamad Iwan

    2005-06-01

    This research has successfully attained the following results: (1 type I error is in fact 59,83 times more costly compared to type II error, (2 22 ratios distinguish between bankrupt and non-bankrupt groups, (3 2 financial ratios proved to be effective in predicting bankruptcy, (4 prediction using ZETAc optimal cut-off score predicts more companies filing for bankruptcy within one year compared to prediction using Hair et al. optimum cutting score, (5 Although prediction using Hair et al. optimum cutting score is more accurate, prediction using ZETAc optimal cut-off score proved to be able to minimize cost incurred from classification errors.

  18. Speech quality estimation of voice over internet protocol codec using a packet loss impairment model.

    Science.gov (United States)

    Lee, Min-Ki; Kang, Hong-Goo

    2013-11-01

    This letter proposes a degradation and cognition model to estimate speech quality impairment because of packet loss concealment (PLC) algorithm implemented in the speech CODEC SILK. By considering the fact that the quality degradation caused by packet loss is highly related to the PLC algorithm, the impact of quality degradation on various types of previous and lost packet classes is analyzed. Then, the PLC effects to the proposed class types are measured by the class conditional expectation of the degradation scores. Finally, the cognition module is derived to estimate the total quality degradation in a mean opinion score (MOS) scale. When assessed for correlation with subject test results, the correlation coefficient of the encoder-based class model is 0.93, and that of the decoder-based model is 0.87.

  19. ADKAR MODEL VS. QUALITY MANAGEMENT CHANGE

    Directory of Open Access Journals (Sweden)

    Gratiela Dana Boca

    2013-12-01

    Full Text Available This research was conducted through different countries to identify dimensions and antecedents of buyer-seller relationships quality. In light of the findings dimensions of relationship quality have emerged: mutual trust, partners’ commitment in the relationship, cooperation and creativity and innovation. Also, the research identifies several key success factors in business relationships that are grouped into different categories: factors related to relational behaviours and factors related to characteristics of the offer. These results serve as valuable indicators, allowing managers to evaluate, adjust and develop their relationships marketing strategies. The ADKAR model provides a tool for improving the connection between individual performance, organizational change management and business results. This study provides a significant contribution to the relationship quality literature and present few ideas for future management in a new manufacture vision for MANU-FUTURE.

  20. Evaluating predictive models of software quality

    International Nuclear Information System (INIS)

    Ciaschini, V; Canaparo, M; Ronchieri, E; Salomoni, D

    2014-01-01

    Applications from High Energy Physics scientific community are constantly growing and implemented by a large number of developers. This implies a strong churn on the code and an associated risk of faults, which is unavoidable as long as the software undergoes active evolution. However, the necessities of production systems run counter to this. Stability and predictability are of paramount importance; in addition, a short turn-around time for the defect discovery-correction-deployment cycle is required. A way to reconcile these opposite foci is to use a software quality model to obtain an approximation of the risk before releasing a program to only deliver software with a risk lower than an agreed threshold. In this article we evaluated two quality predictive models to identify the operational risk and the quality of some software products. We applied these models to the development history of several EMI packages with intent to discover the risk factor of each product and compare it with its real history. We attempted to determine if the models reasonably maps reality for the applications under evaluation, and finally we concluded suggesting directions for further studies.

  1. Effect of clinical and laboratory parameters on quality of life in celiac patients using celiac disease-specific quality of life scores.

    Science.gov (United States)

    Lee, Jungmin; Clarke, Kofi

    2017-11-01

    Health-related quality of life (HR-QOL) in patients with celiac disease is reduced compared to the general population. We investigated the association between HR-QOL and clinical, laboratory findings using the previously validated CD-QOL (celiac disease-specific quality of life) instrument in patients with celiac disease. To our knowledge, no study has previously explored the relationship between HR-QOL and clinical, laboratory parameters in celiac patients. Patients who received care at the Allegheny Health Network Celiac Center, Pittsburgh, PA were asked to complete the CD-QOL questionnaire. A cross sectional study with predetermined clinical and laboratory parameters was performed. Data collected included IgA anti-tissue transglutaminase (tTG) antibody titers, iron studies, calcium, vitamin A, B12, 25 OH vitamin D, and E levels. Correlation between clinical findings and CD-QOL was also assessed. Seventy-eight out of 124 patients who completed the questionnaire was included in the analysis. Patients with concomitant irritable bowel syndrome (IBS) had significantly reduced HR-QOL with CD-QOL score of 52.4 ± 11.3 vs. 44.6 ± 12.9 in those without IBS (p = .009). There was no difference in HR-QOL in relation to IgA tTG titers or vitamin D levels. Of note, there was a trend towards correlation between higher level of vitamin E and better QOL (r = -0.236, p = .074). Celiac patients with concomitant IBS have reduced HR-QOL. There was no statistically significant association between HR-QOL and laboratory parameters or levels of micronutrients.

  2. MQAPRank: improved global protein model quality assessment by learning-to-rank.

    Science.gov (United States)

    Jing, Xiaoyang; Dong, Qiwen

    2017-05-25

    Protein structure prediction has achieved a lot of progress during the last few decades and a greater number of models for a certain sequence can be predicted. Consequently, assessing the qualities of predicted protein models in perspective is one of the key components of successful protein structure prediction. Over the past years, a number of methods have been developed to address this issue, which could be roughly divided into three categories: single methods, quasi-single methods and clustering (or consensus) methods. Although these methods achieve much success at different levels, accurate protein model quality assessment is still an open problem. Here, we present the MQAPRank, a global protein model quality assessment program based on learning-to-rank. The MQAPRank first sorts the decoy models by using single method based on learning-to-rank algorithm to indicate their relative qualities for the target protein. And then it takes the first five models as references to predict the qualities of other models by using average GDT_TS scores between reference models and other models. Benchmarked on CASP11 and 3DRobot datasets, the MQAPRank achieved better performances than other leading protein model quality assessment methods. Recently, the MQAPRank participated in the CASP12 under the group name FDUBio and achieved the state-of-the-art performances. The MQAPRank provides a convenient and powerful tool for protein model quality assessment with the state-of-the-art performances, it is useful for protein structure prediction and model quality assessment usages.

  3. Mathematical Model and Qualimetric Assessment of Graduate Education Quality in Environment Saturated with Information and Communication Technologies

    Science.gov (United States)

    Safargaliev, Ernst Raisovich; Eremina, Irina Ilyinichna; Konstantinovich, Savitsky Sergey; Camelina, Valentina Aleksandrovna

    2015-01-01

    Our model uses a complex quality assessment method of academic training of graduates. We have used a synthesized model, which is based on both positive and negative experience and uses qualimetric approach in quality assessment. The complex factor of the graduate's competency is a sum of scores for knowledge, skills and expertise in subjects that…

  4. The protein digestibility-corrected amino acid score method overestimates quality of proteins containing antinutritional factors and of poorly digestible proteins supplemented with limiting amino acids in rats.

    Science.gov (United States)

    Sarwar, G

    1997-05-01

    The validity of the protein digestibility-corrected amino acid score (PDCAAS) method in predicting the quality of fourteen protein products was compared with the commonly used protein quality methods, protein efficiency ratio (RER) and net protein ratio (NPR). A rat growth and balance study was conducted to determine protein digestibility and quality of the animal and vegetable protein products by the PER and NPR methods. Amino acid compositions of the products were also determined, and PDCAAS were calculated using a rat and a human pattern of amino acid requirements. Compared to the biological methods, the scoring method overestimated protein quality of mustard flour [PDCAAS of 84-92% vs. relative PER (RPER) or relative NPR (RNPR) of 0], raw black beans (PDCAAS of 45-72% vs. RPER or RNPR of 0), alkaline-treated lactalbumin and soybean protein isolate (PDCAAS of 44-67% vs. RPER or RNPR of 0) and heated skim milk (PDCAAS of 29-31% vs. RPER and RNPR of 0-5%). The scoring method also overestimated the protein quality of zein (true protein digestibility of 63%) supplemented with Lys, Met, Thr and Trp (PDCAAS of 63-71% vs. RPER and RNPR of 3-44%). These data demonstrate that the PDCAAS method is inappropriate for predicting protein quality of those protein sources which may contain naturally occurring growth-depressing factors or antinutritional factors formed during alkaline and/or heat processing.

  5. The Air Quality Model Evaluation International Initiative ...

    Science.gov (United States)

    This presentation provides an overview of the Air Quality Model Evaluation International Initiative (AQMEII). It contains a synopsis of the three phases of AQMEII, including objectives, logistics, and timelines. It also provides a number of examples of analyses conducted through AQMEII with a particular focus on past and future analyses of deposition. The National Exposure Research Laboratory (NERL) Computational Exposure Division (CED) develops and evaluates data, decision-support tools, and models to be applied to media-specific or receptor-specific problem areas. CED uses modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. It also develops media- and receptor-specific models, process models, and decision support tools for use both within and outside of EPA.

  6. An assessment model for quality management

    Science.gov (United States)

    Völcker, Chr.; Cass, A.; Dorling, A.; Zilioli, P.; Secchi, P.

    2002-07-01

    SYNSPACE together with InterSPICE and Alenia Spazio is developing an assessment method to determine the capability of an organisation in the area of quality management. The method, sponsored by the European Space Agency (ESA), is called S9kS (SPiCE- 9000 for SPACE). S9kS is based on ISO 9001:2000 with additions from the quality standards issued by the European Committee for Space Standardization (ECSS) and ISO 15504 - Process Assessments. The result is a reference model that supports the expansion of the generic process assessment framework provided by ISO 15504 to nonsoftware areas. In order to be compliant with ISO 15504, requirements from ISO 9001 and ECSS-Q-20 and Q-20-09 have been turned into process definitions in terms of Purpose and Outcomes, supported by a list of detailed indicators such as Practices, Work Products and Work Product Characteristics. In coordination with this project, the capability dimension of ISO 15504 has been revised to be consistent with ISO 9001. As contributions from ISO 9001 and the space quality assurance standards are separable, the stripped down version S9k offers organisations in all industries an assessment model based solely on ISO 9001, and is therefore interesting to all organisations, which intend to improve their quality management system based on ISO 9001.

  7. Correcting for Test Score Measurement Error in ANCOVA Models for Estimating Treatment Effects

    Science.gov (United States)

    Lockwood, J. R.; McCaffrey, Daniel F.

    2014-01-01

    A common strategy for estimating treatment effects in observational studies using individual student-level data is analysis of covariance (ANCOVA) or hierarchical variants of it, in which outcomes (often standardized test scores) are regressed on pretreatment test scores, other student characteristics, and treatment group indicators. Measurement…

  8. The achievement impact of the inclusion model on the standardized test scores of general education students

    Science.gov (United States)

    Garrett-Rainey, Syrena

    The purpose of this study was to compare the achievement of general education students within regular education classes to the achievement of general education students in inclusion/co-teach classes to determine whether there was a significant difference in the achievement between the two groups. The school district's inclusion/co-teach model included ongoing professional development support for teachers and administrators. General education teachers, special education teachers, and teacher assistants collaborated to develop instructional strategies to provide additional remediation to help students to acquire the skills needed to master course content. This quantitative study reviewed the end-of course test (EoCT) scores of Grade 10 physical science and math students within an urban school district. It is not known whether general education students in an inclusive/co-teach science or math course will demonstrate a higher achievement on the EoCT in math or science than students not in an inclusive/co-teach classroom setting. In addition, this study sought to determine if students classified as low socioeconomic status benefited from participating in co-teaching classrooms as evidenced by standardized tests. Inferential statistics were used to determine whether there was a significant difference between the achievements of the treatment group (inclusion/co-teach) and the control group (non-inclusion/co-teach). The findings can be used to provide school districts with optional instructional strategies to implement in the diverse classroom setting in the modern classroom to increase academic performance on state standardized tests.

  9. The Allergic Rhinitis and its Impact on Asthma (ARIA) score of allergic rhinitis using mobile technology correlates with quality of life: The MASK study.

    Science.gov (United States)

    Bousquet, J; Arnavielhe, S; Bedbrook, A; Fonseca, J; Morais Almeida, M; Todo Bom, A; Annesi-Maesano, I; Caimmi, D; Demoly, P; Devillier, P; Siroux, V; Menditto, E; Passalacqua, G; Stellato, C; Ventura, M T; Cruz, A A; Sarquis Serpa, F; da Silva, J; Larenas-Linnemann, D; Rodriguez Gonzalez, M; Burguete Cabañas, M T; Bergmann, K C; Keil, T; Klimek, L; Mösges, R; Shamai, S; Zuberbier, T; Bewick, M; Price, D; Ryan, D; Sheikh, A; Anto, J M; Mullol, J; Valero, A; Haahtela, T; Valovirta, E; Fokkens, W J; Kuna, P; Samolinski, B; Bindslev-Jensen, C; Eller, E; Bosnic-Anticevich, S; O'Hehir, R E; Tomazic, P V; Yorgancioglu, A; Gemicioglu, B; Bachert, C; Hellings, P W; Kull, I; Melén, E; Wickman, M; van Eerd, M; De Vries, G

    2018-02-01

    Mobile technology has been used to appraise allergic rhinitis control, but more data are needed. To better assess the importance of mobile technologies in rhinitis control, the ARIA (Allergic Rhinitis and its Impact on Asthma) score ranging from 0 to 4 of the Allergy Diary was compared with EQ-5D (EuroQuol) and WPAI-AS (Work Productivity and Activity Impairment in allergy) in 1288 users in 18 countries. This study showed that quality-of-life data (EQ-5D visual analogue scale and WPA-IS Question 9) are similar in users without rhinitis and in those with mild rhinitis (scores 0-2). Users with a score of 3 or 4 had a significant impairment in quality-of-life questionnaires. © 2017 EAACI and John Wiley and Sons A/S. Published by John Wiley and Sons Ltd.

  10. The Protein Digestibility-Corrected Amino Acid Score (PDCAAS) - A concept for describing protein quality in foods and food ingredients: A critical review

    NARCIS (Netherlands)

    Schaafsma, G.

    2005-01-01

    Protein Digestibility-Corrected Amino Score (PDCAAS) is discussed. PDCAAS is now widely used as a routine assay for protein quality evaluation, replacing the more traditional biological methods [e.g., measurement of the Protein Efficiency Ratio (PER) in rats]. PDCAAS is based on comparison of the

  11. The Use of Quality Control and Data Mining Techniques for Monitoring Scaled Scores: An Overview. Research Report. ETS RR-12-20

    Science.gov (United States)

    von Davier, Alina A.

    2012-01-01

    Maintaining comparability of test scores is a major challenge faced by testing programs that have almost continuous administrations. Among the potential problems are scale drift and rapid accumulation of errors. Many standard quality control techniques for testing programs, which can effectively detect and address scale drift for small numbers of…

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

    Science.gov (United States)

    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,…

  13. Reporting health-related quality of life scores to physicians during routine follow-up visits of pediatric oncology patients: Is it effective?

    NARCIS (Netherlands)

    Engelen, Vivian; Detmar, Symone; Koopman, Hendrik; Maurice-Stam, Heleen; Caron, Huib; Hoogerbrugge, Peter; Egeler, R. Maarten; Kaspers, Gertjan; Grootenhuis, Martha

    2012-01-01

    Background The aim of the current study is to investigate the effectiveness of an intervention that provides health-related quality of life (HRQOL) scores of the patient (the QLIC-ON PROfile) to the pediatric oncologist. Procedure. Children with cancer participated in a sequential cohort

  14. Longitudinal trends in diet and effects of sex, race, and education on dietary quality score change: the Coronary Artery Risk Development in Young Adults study

    NARCIS (Netherlands)

    Sijtsma, F.P.C.; Meyer, K.A.; Steffen, L.M.; Shikany, J.M.; Horn, van L.; Harnack, L.J.; Kromhout, D.; Jacobs, D.R.

    2012-01-01

    Background: The food supply and dietary preferences have changed in recent decades. Objective: We studied time- and age-related individual and population-wide changes in a dietary quality score and food groups during 1985–2006. Design: The Coronary Artery Risk Development in Young Adults (CARDIA)

  15. Reporting health-related quality of life scores to physicians during routine follow-up visits of pediatric oncology patients: Is it effective?

    NARCIS (Netherlands)

    Engelen, V.; Detmar, S.; Koopman, H.; Maurice-Stam, H.; Caron, H.; Hoogerbrugge, P.; Egeler, R.M.; Kaspers, G.; Grootenhuis, M.

    2012-01-01

    Background: The aim of the current study is to investigate the effectiveness of an intervention that provides health-related quality of life (HRQOL) scores of the patient (the QLIC-ON PROfile) to the pediatric oncologist. Procedure: Children with cancer participated in a sequential cohort

  16. Self-Evaluation Scores of Hearing Difficulties and Quality of Life Components among Retired Workers with Noise-Related Hearing Loss

    Science.gov (United States)

    MIYAKITA, T.; UEDA, A.; ZUSHO, H.; KUDOH, Y.

    2002-02-01

    This study is intended to clarify the relationships between hearing loss caused both by noise exposure and aging and self-rated scores of hearing disabilities and to elucidate the structure of the quality of life (QOL) determinants and their moderating conditions among retired workers with noise-related hearing loss. The questionnaire consisted of three parts: background questions, the hearing disabilities and handicap scale (HDHS), and questions regarding QOL covering five areas, self-rated health, personal health practice, social support network, life satisfaction, and life events. Two hundred ten retired workers aged 56-65 years old (60·6±1·6) with noise-related hearing loss responded to our questionnaire. All were previously engaged in noise exposed work such as shipbuilding, steel and woodwork. According to the hearing disability score (DIS score), subjects were divided into three groups and comparisons were made of the hearing handicap score (HD score) among those groups. Although groups with a higher DIS score showed a higher HD score, a large individual difference in HD score was observed in each of the three groups with the same DIS score level. The results of multiple regression analysis including two variables (life satisfaction and HD score) as the dependent variables and seven variables as the independent variables showed that the strongest explanatory variable for life satisfaction was social support network, followed by handicaps caused by hearing disabilities, self-rated health and personal health practice. It was demonstrated that hearing disabilities and handicap measured by the Japanese version of the HDHS were directly associated with the deterioration in QOL. Measures of the social support network, life satisfaction, and hearing disabilities and handicaps may assist in the detection of workers who can be targeted for a variety of interventions, such as audiological rehabilitation or the creation of a barrier-free community that is supportive

  17. A comparison of scoring models for computerised mental health screening for federal prison inmates.

    Science.gov (United States)

    Martin, Michael S; Wamboldt, Ashley D; O'Connor, Shannon L; Fortier, Julie; Simpson, Alexander I F

    2013-02-01

    There are high rates of mental disorder in correctional environments, so effective mental health screening is needed. Implementation of the computerised mental health screen of the Correctional Service of Canada has led to improved identification of offenders with mental health needs but with high rates of false positives. The goal of this study is to evaluate the use of an iterative classification tree (ICT) approach to mental health screening compared with a simple binary approach using cut-off scores on screening tools. A total of 504 consecutive admissions to federal prison completed the screen and were also interviewed by a mental health professional. Relationships between screening results and more extended assessment and clinical team discussion were tested. The ICT was more parsimonious in identifying probable 'cases' than standard binary screening. ICT was also highly accurate at detecting mental health needs (AUC=0.87, 95% CI 0.84-0.90). The model identified 118 (23.4%) offenders as likely to need further assessment or treatment, 87% of whom were confirmed cases at clinical interview. Of the 244 (48.4%) offenders who were screened out, only 9% were clinically assessed as requiring further assessment or treatment. Standard binary screening was characterised by more false positives and a comparable false negative rate. The use of ICTs to interpret screening data on the mental health of prisoners needs further evaluation in independent samples in Canada and elsewhere. This first evaluation of the application of such an approach offers the prospect of more effective and efficient use of the scarce resource of mental health services in prisons. Although not required, the use of computers can increase the ease of implementing an ICT model. Copyright © 2013 John Wiley & Sons, Ltd.

  18. From drug response profiling to target addiction scoring in cancer cell models

    Directory of Open Access Journals (Sweden)

    Bhagwan Yadav

    2015-10-01

    Full Text Available Deconvoluting the molecular target signals behind observed drug response phenotypes is an important part of phenotype-based drug discovery and repurposing efforts. We demonstrate here how our network-based deconvolution approach, named target addiction score (TAS, provides insights into the functional importance of druggable protein targets in cell-based drug sensitivity testing experiments. Using cancer cell line profiling data sets, we constructed a functional classification across 107 cancer cell models, based on their common and unique target addiction signatures. The pan-cancer addiction correlations could not be explained by the tissue of origin, and only correlated in part with molecular and genomic signatures of the heterogeneous cancer cells. The TAS-based cancer cell classification was also shown to be robust to drug response data resampling, as well as predictive of the transcriptomic patterns in an independent set of cancer cells that shared similar addiction signatures with the 107 cancers. The critical protein targets identified by the integrated approach were also shown to have clinically relevant mutation frequencies in patients with various cancer subtypes, including not only well-established pan-cancer genes, such as PTEN tumor suppressor, but also a number of targets that are less frequently mutated in specific cancer types, including ABL1 oncoprotein in acute myeloid leukemia. An application to leukemia patient primary cell models demonstrated how the target deconvolution approach offers functional insights into patient-specific addiction patterns, such as those indicative of their receptor-type tyrosine-protein kinase FLT3 internal tandem duplication (FLT3-ITD status and co-addiction partners, which may lead to clinically actionable, personalized drug treatment developments. To promote its application to the future drug testing studies, we have made available an open-source implementation of the TAS calculation in the form

  19. Dimension-based quality modeling of transmitted speech

    CERN Document Server

    Wältermann, Marcel

    2013-01-01

    In this book, speech transmission quality is modeled on the basis of perceptual dimensions. The author identifies those dimensions that are relevant for today's public-switched and packet-based telecommunication systems, regarding the complete transmission path from the mouth of the speaker to the ear of the listener. Both narrowband (300-3400 Hz) as well as wideband (50-7000 Hz) speech transmission is taken into account. A new analytical assessment method is presented that allows the dimensions to be rated by non-expert listeners in a direct way. Due to the efficiency of the test method, a relatively large number of stimuli can be assessed in auditory tests. The test method is applied in two auditory experiments. The book gives the evidence that this test method provides meaningful and reliable results. The resulting dimension scores together with respective overall quality ratings form the basis for a new parametric model for the quality estimation of transmitted speech based on the perceptual dimensions. I...

  20. VAP score as a novel non-invasive liver fibrosis model in patients with chronic hepatitis C.

    Science.gov (United States)

    Ahmed Hassan, Elham; Sharaf El-Din Abd El-Rehim, Abeer; Ahmed Sayed, Zain El-Abdeen; Farah Mohamed Kholef, Emad; Sabry, Abeer; Abd El-Rehim Abo Elhagag, Noha

    2017-12-01

    Assessment of liver fibrosis in chronic hepatitis C (CHC) patients is necessary before antiviral treatment. This study aimed to evaluate the effectiveness of eight non-invasive models (aspartate aminotransferase [AST]/alanine transaminase ratio [AAR], AST/platelet ratio index [APRI], fibrosis-cirrhosis index [FCI], fibrosis index [FI], fibrosis-4 [FIB-4] score, fibrosis quotient [FibroQ], King, and von Willebrand factor antigen (vWF-Ag)/thrombocyte ratio [VITRO] scores) for predicting fibrosis compared with liver biopsy and to create a new score for predicting different fibrosis stages with increased accuracy. We prospectively studied 127 treatment-naive CHC patients who underwent liver biopsy. The AAR, APRI, FCI, FI, FIB-4, FibroQ, King and VITRO scores were calculated and correlated with fibrosis stages. A new score (VAP) was derived from vWF-Ag, AST, and platelets: [VAP = (AST (U/L) × vWF-Ag)/platelets (10 9 /L)]. Apart from AAR, readily available scores were correlated with liver fibrosis stages. VITRO (r = 0.62) and APRI (r = 0.46) showed the closest correlation. Our new (VAP) score significantly correlated with fibrosis stages (r = 0.702, P 1, VAP had 75.2% sensitivity and 100% positive predictive value for predicting mild fibrosis. At a cut-off value >2.3 for predicting cirrhosis, VAP had 73% sensitivity and 81.7% positive predictive value. The VAP score is a novel model that had higher diagnostic performance to predict different fibrosis stages and subclinical cirrhosis among CHC patients compared to the other studied scores and hence may offer a useful strategy to stratify patients who would benefit from direct-acting antivirals. © 2017 The Japan Society of Hepatology.

  1. Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument

    Science.gov (United States)

    Bian, Jiang; Leavitt, Trevor; Vincent, Heather K; Vander Zalm, Lindsey; Teurlings, Tyler L; Smith, Megan D

    2017-01-01

    Background Regular physical activity can not only help with weight management, but also lower cardiovascular risks, cancer rates, and chronic disease burden. Yet, only approximately 20% of Americans currently meet the physical activity guidelines recommended by the US Department of Health and Human Services. With the rapid development of mobile technologies, mobile apps have the potential to improve participation rates in exercise programs, particularly if they are evidence-based and are of sufficient content quality. Objective The goal of this study was to develop and test an instrument, which was designed to score the content quality of exercise program apps with respect to the exercise guidelines set forth by the American College of Sports Medicine (ACSM). Methods We conducted two focus groups (N=14) to elicit input for developing a preliminary 27-item scoring instruments based on the ACSM exercise prescription guidelines. Three reviewers who were no sports medicine experts independently scored 28 exercise program apps using the instrument. Inter- and intra-rater reliability was assessed among the 3 reviewers. An expert reviewer, a Fellow of the ACSM, also scored the 28 apps to create criterion scores. Criterion validity was assessed by comparing nonexpert reviewers’ scores to the criterion scores. Results Overall, inter- and intra-rater reliability was high with most coefficients being greater than .7. Inter-rater reliability coefficients ranged from .59 to .99, and intra-rater reliability coefficients ranged from .47 to 1.00. All reliability coefficients were statistically significant. Criterion validity was found to be excellent, with the weighted kappa statistics ranging from .67 to .99, indicating a substantial agreement between the scores of expert and nonexpert reviewers. Finally, all apps scored poorly against the ACSM exercise prescription guidelines. None of the apps received a score greater than 35, out of a possible maximal score of 70. Conclusions

  2. Comparison of L-system applications towards plant modelling, music rendering and score generation using visual language programming

    Science.gov (United States)

    Lim, Chen Kim; Tan, Kian Lam; Yusran, Hazwanni; Suppramaniam, Vicknesh

    2017-10-01

    Visual language or visual representation has been used in the past few years in order to express the knowledge in graphic. One of the important graphical elements is fractal and L-Systems is a mathematic-based grammatical model for modelling cell development and plant topology. From the plant model, L-Systems can be interpreted as music sound and score. In this paper, LSound which is a Visual Language Programming (VLP) framework has been developed to model plant to music sound and generate music score and vice versa. The objectives of this research has three folds: (i) To expand the grammar dictionary of L-Systems music based on visual programming, (ii) To design and produce a user-friendly and icon based visual language framework typically for L-Systems musical score generation which helps the basic learners in musical field and (iii) To generate music score from plant models and vice versa using L-Systems method. This research undergoes a four phases methodology where the plant is first modelled, then the music is interpreted, followed by the output of music sound through MIDI and finally score is generated. LSound is technically compared to other existing applications in the aspects of the capability of modelling the plant, rendering the music and generating the sound. It has been found that LSound is a flexible framework in which the plant can be easily altered through arrow-based programming and the music score can be altered through the music symbols and notes. This work encourages non-experts to understand L-Systems and music hand-in-hand.

  3. Modeling of Water Quality 'Almendares River'

    International Nuclear Information System (INIS)

    Domínguez Catasús, Judith

    2005-01-01

    The river Almendares, one of the most important water bodies of the Havana City, is very polluted. The analysis of parameters as dissolved oxygen and biochemical oxygen demand is very helpful for the studies aimed to the recovery of the river. There is a growing recognition around the word that the water quality models are very useful tools to plan sanitary strategies for the handling of the contamination. In the present work, the advective, steady- state Streeter and Phelps model was validated to simulate the effect of the multiple-point and distributed sources on the carbonaceous oxygen demand, NH4 and dissolved oxygen. For modeling purposes the section of the river located between the point where the waste water treatment station Maria del Carmen discharges to the river and the Bridge El Bosque, was divided in 11 segments. The use of the 99mTc and the Rodamine WT as tracers allowed determining the hydrodynamic parameters necessary for modeling purposes. The validated model allows to predict the effect of the sanitary strategies on the water quality of the river. The main conclusions are: 1. The model Streeter and Phelps calibrated and validated in the Almendares between the confluence of the channel 'María del Carmen' and bridge the Forest of Havana, described in more than 90% The behavior of the dissolved oxygen and BODn (in terms of ammonia), and more than 85%, the carbonaceous demand oxygen, which characterizes the process of purification. 2. Model validation Streeter and Phelps, indicates that implicit conceptual model is appropriate. This refers primarily to the considerations relating to the calculation of the kinetic constants and the DOS, the segmentation used, to the location of the discharges and the Standing been about them, to the river morphology and hydrodynamic parameters . 3. The calibration procedure Streeter and Phelps model that determines the least-squares Kr-Kd pair that best fits the OD and uses this Kr to model BOD gets four% increase in

  4. A new risk scoring model for prediction of poor coronary collateral circulation in acute non-ST-elevation myocardial infarction.

    Science.gov (United States)

    İleri, Mehmet; Güray, Ümit; Yetkin, Ertan; Gürsoy, Havva Tuğba; Bayır, Pınar Türker; Şahin, Deniz; Elalmış, Özgül Uçar; Büyükaşık, Yahya

    2016-01-01

    We aimed to investigate the clinical features associated with development of coronary collateral circulation (CCC) in patients with acute non-ST-elevation myocardial infarction (NSTEMI) and to develop a scoring model for predicting poor collateralization at hospital admission. The study enrolled 224 consecutive patients with NSTEMI admitted to our coronary care unit. Patients were divided into poor (grade 0 and 1) and good (grade 2 and 3) CCC groups. In logistic regression analysis, presence of diabetes mellitus, total white blood cell (WBC) and neutrophil counts and neutrophil to lymphocyte ratio (NLR) were found as independent positive predictors of poor CCC, whereas older age (≥ 70 years) emerged as a negative indicator. The final scoring model was based on 5 variables which were significant at p risk score ≤ 1, 29 had good CCC (with a 97% negative predictive value). On the other hand, 139 patients had risk score ≥ 4; out of whom, 130 (with a 93.5% positive predictive value) had poor collateralization. Sensitivity and specificity of the model in predicting poor collateralization in patients with scores ≤ 1 and ≥ 4 were 99.2% (130/131) and +76.3 (29/38), respectively. This study represents the first prediction model for degree of coronary collateralization in patients with acute NSTEMI.

  5. A comparison of the nutritional quality of organic and conventional ready-to-eat breakfast cereals based on NuVal scores.

    Science.gov (United States)

    Woodbury, Nancy J; George, Valerie A

    2014-07-01

    To identify whether there were differences in nutritional quality between organic and conventional ready-to-eat breakfast cereals of similar types, based on NuVal scores. The current descriptive study analysed NuVal scores for 829 ready-to-eat breakfast cereals and eighteen different cereal types. ANOVA was used to compare the mean NuVal scores of 723 conventional cereals with those of 106 organic cereals. Ready-to-eat breakfast cereals (n 829) with NuVal scores. Not applicable. There was no significant difference in NuVal scores between conventional (mean 28·4 (sd 13·4)) and organic (mean 30·6 (sd 13·2)) cereal types. Consumers who choose the organic version of a ready-to-eat breakfast cereal believing that nutritional quality is superior may not be making a valid assumption. Public health nutrition educators must help consumers understand that organic cereals are not necessarily more nutritious and their consumption could result in excessive intake of undesirable nutrients, such as fat, sugar and sodium.

  6. Use of Quality Models and Indicators for Evaluating Test Quality in an ESP Course

    Directory of Open Access Journals (Sweden)

    IEVA RUDZINSKA

    2013-12-01

    Full Text Available Qualitative methods of assessment play a decisive role in education in general and in language learning in particular. The necessity to perform a qualitative assessment comes from both increased student competition in higher education institutions (HEIs, and hence higher demands for fair assessment, and a growing public awareness on higher education issues, and therefore the need to account for a wider circle of stakeholders, including society as a whole. The aim of the present paper is to study the regulations and laws pertaining to the issue of assessment in Latvian HEIs, as well as to carry out literature sources analysis about assessment in language testing, seeking to select criteria characterizing the quality of English for Specific Purposes (ESP tests and to apply the model of evaluating the quality of a language test on an example of a test in sport English, developed in a Latvian higher education institution. An analysis of the regulations and laws about assessment in higher education and literature sources about tests in language courses has enabled the development of a test quality model, consisting of seven intrinsic quality criteria: clarity, adequacy, deep approach, attractiveness, originality/similarity, orientation towards student learning result/process, test scoring objectivity/subjectivity. Quality criteria comprise eleven indicators. The reliability of the given model is evaluated by means of the whole model, its criteria and indicator Cronbach’s alphas and point-biserial (item-total correlations or discrimination indexes DI. The test was taken by 63 participants, all of them 2nd year full time students attending a Latvian higher education institution. A statistical data analysis was performed with SPSS 17.0. The results show that, although test adequacy and clarity is sufficiently high, attractiveness and deep approach should be improved. Also the reliability of one version of the test is higher than that of the other one

  7. Development of a questionnaire weighted scoring system to target diagnostic examinations for asthma in adults: a modelling study

    Directory of Open Access Journals (Sweden)

    Hazell Michelle L

    2004-12-01

    Full Text Available Abstract Background Identification and treatment of unrecognised asthmatics in the community is important for improving the health of the individual and minimising cost and quality of life burden. It is not practical to offer clinical diagnostic assessment to whole communities, and a simple tool such as a questionnaire is required to identify a smaller target group. Conventional questionnaire screening methods which separate individuals into positive and negative categories have resulted in large numbers of individuals requiring clinical assessment. This study has therefore developed and tested a weighted scoring system that prioritises those most urgently in need, based on their questionnaire responses. Methods A stratified random sample of adult respondents to a general practice postal questionnaire survey were categorised 'asthmatic' or 'non-asthmatic' according to three expert physicians' opinions. Based on this categorisation, logistic regression was used to derive weights reflecting the relative importance of each question in predicting asthma, allowing calculation of weighted scores reflecting likelihood of asthma. Respondents scoring higher than a chosen threshold would be offered diagnostic examination. Results Age and presence of wheeze were most influential (weight 3 and overall weighted scores ranged from -1 to 13. Positive predictive values (PPV were estimated. For example, setting the threshold score at nine gave an estimated PPV for asthma diagnosis of 93.5%, a threshold score of seven corresponded to PPV 78.8%. PPV estimates were supported by examining 145 individuals from a new survey. Conclusion Weighted scoring of questionnaire responses provides a method for evaluating the priority level of an individual 'at a glance', minimising the resource wastage of examining false positives.

  8. Routine Assessment of Patient Index Data 3 Score and Psoriasis Quality of Life Assess Complementary Yet Different Aspects of Patient-Reported Outcomes in Psoriasis and Psoriatic Arthritis.

    Science.gov (United States)

    Vakil-Gilani, Kiana Maryam; Dinno, Alexis; Rich-Garg, Neha; Deodhar, Atul

    2018-01-09

    Psoriasis Quality of Life (PQoL-12) is a validated composite tool assessing patients' quality of life (QoL) with psoriasis (PsO) and psoriatic arthritis (PsA). Routine Assessment of Patient Index Data 3 (RAPID3), measuring physical function, pain, and patient global assessment, is used for rheumatoid arthritis. Routine Assessment of Patient Index Data 3 has not been used to assess PsO/PsA patients' QoL. The aim of this study was to investigate the correlation between PQoL-12 and RAPID3 in PsO and PsA patients in a cross-sectional and longitudinal analyses. Data came from PsO and PsA patients seen from 2008 to 2015 at Oregon Health & Science University (n = 558: 393 with PsO and 165 with PsA). Nonlinear least squares regressions modeled PQoL-12 with functions of RAPID3, controlling for time since first visit. Nonparametric ROC determined RAPID3 scores best correlating with PQoL-12 cutoffs. Among the PsO cohort, PQoL-12 was explained by RAPID3, the square of RAPID3, time since first visit, and the square of time since first visit; adjusted R = 0.414. For the PsA cohort, PQoL-12 was explained by RAPID3, change in slope of RAPID3 at 2.28, time since first visit, the square of time since first visit; adjusted R = 0.340. Routine Assessment of Patient Index Data 3 cutoffs for PQoL-12 scores of 48 and 96 (mild and moderate QoL impairment) in PsO were 1.55 and 5.72 and in PsA were 1.89 and 6.34. Routine Assessment of Patient Index Data 3 weakly correlated with PQoL-12, indicating these indices assess different aspects of PsO and PsA. Routine Assessment of Patient Index Data 3 fails to capture mental health information that greatly impacts patients' QoL, whereas PQoL-12 fails to capture the physical and functional aspects of the disease. Results indicate the importance of capturing mental health assessment in order to create a comprehensive tool to measure how psoriatic disease affects patients' QoL.

  9. Preferred 11 different job rotation types in automotive company and their effects on productivity, quality and musculoskeletal disorders: comparison between subjective and actual scores by workers' age.

    Science.gov (United States)

    Jeon, In Sik; Jeong, Byung Yong; Jeong, Ji Hyun

    2016-10-01

    This study investigates workers' favoured rotation types by their age and compares means between subjective and actual scores on productivity, quality and musculoskeletal disorders (MSDs). The subjects of research were 422 assembly line units in Hyundai Motor Company. The survey of 422 units focused on the workers' preference for 11 different rotation types and subjective scores for each type's perceived benefits, both by the workers' age. Then, actual scores on production-related indices were traced over a five-year period. The results suggest that different rotation types lead to different results in productivity, product quality and MSDs. Workers tend to perceive job rotation as a helpful method to enhance satisfaction, productivity and product quality more so than the actual production data suggests. Job rotation was especially effective in preventing MSDs for workers aged under 45, while its effects were not clear for the workers aged 45 years or older. Practitioner's Summary: This research presents appropriate rotation type for different age groups. Taking workers' age into account, administrators can use the paper's outcomes to select and implement the suitable rotation type to attain specific goals such as enhancing productivity, improving product quality or reducing MSDs.

  10. Applying Quality Function Deployment Model in Burn Unit Service Improvement.

    Science.gov (United States)

    Keshtkaran, Ali; Hashemi, Neda; Kharazmi, Erfan; Abbasi, Mehdi

    2016-01-01

    Quality function deployment (QFD) is one of the most effective quality design tools. This study applies QFD technique to improve the quality of the burn unit services in Ghotbedin Hospital in Shiraz, Iran. First, the patients' expectations of burn unit services and their priorities were determined through Delphi method. Thereafter, burn unit service specifications were determined through Delphi method. Further, the relationships between the patients' expectations and service specifications and also the relationships between service specifications were determined through an expert group's opinion. Last, the final importance scores of service specifications were calculated through simple additive weighting method. The findings show that burn unit patients have 40 expectations in six different areas. These expectations are in 16 priority levels. Burn units also have 45 service specifications in six different areas. There are four-level relationships between the patients' expectations and service specifications and four-level relationships between service specifications. The most important burn unit service specifications have been identified in this study. The QFD model developed in the study can be a general guideline for QFD planners and executives.

  11. Level of quality management in the Municipal Sports Services, contrast trough EFQM Excellence Model.

    Science.gov (United States)

    Martínez-Moreno, Alfonso; Díaz Suárez, Arturo

    2016-01-01

    The quality management in the Municipal Sports Services is embedded in the servuction provided to the citizens, which are their internal customers who determine the quality improvement ensuring competitiveness with excellence criteria. The Model of the European Foundation for Quality Management enables the evaluation of organization progress towards achieving quality goals, from a structured, measurable and comparable methodology. The aim is to carry out a diagnosis of the level of implementation of quality in the Municipal Sports Services of the Region of Murcia, Spain. The sample of 287 workers of 30 sports services gets a high level of reliability at all scales, with a coefficient of variation of .985 (range .810-.943). The score in the criteria of Policy and Strategy, People Management, Alliances and Resources, Processes and People Results were significantly higher (p quality in relation to the scale that determines the model.

  12. Regional air quality modeling: North American and European perspectives

    NARCIS (Netherlands)

    Steyn, D.; Builtjes, P.; Schaap, M.; Yarwood, G.

    2013-01-01

    An overview of regional-scale quality modeling practices and perspectives in North America and Europe, highlighting the differences and commonalities in how regional-scale air quality modeling systems are being used and evaluated across both continents

  13. Applying the Upper Integral to the Biometric Score Fusion Problem in the Identification Model

    Directory of Open Access Journals (Sweden)

    Khalid Fakhar

    2015-08-01

    Full Text Available This paper presents a new biometric score fusion approach in an identification system using the upper integral with respect to Sugeno’s fuzzy measure. First, the proposed method considers each individual matcher as a fuzzy set in order to handle uncertainty and imperfection in matching scores. Then, the corresponding fuzzy entropy estimates the reliability of the information provided by each biometric matcher. Next, the fuzzy densities are generated based on rank information and training accuracy. Finally, the results are aggregated using the upper fuzzy integral. Experimental results compared with other fusion methods demonstrate the good performance of the proposed approach.

  14. Customer focus level following implementation of quality improvement model in Tehran social security hospitals.

    Science.gov (United States)

    Mehrabi, F; Nasiripour, A; Delgoshaei, B

    2008-01-01

    The key factor for the success of total quality management programs in an organization is focusing on the customer. The purpose of this paper is to assess customer focus level following implementation of a quality improvement model in social security hospitals in Tehran Province. This research was descriptive-comparative in nature. The study population consisted of the implementers of quality improvement model in four Tehran social security hospitals. The data were gathered through a checklist addressing customer knowledge and customer satisfaction. The research findings indicated that the average scores on customer knowledge in Shahriar, Alborz, Milad, and Varamin hospitals were 64.1, 61.2, 54.1, and 46.6, respectively. The average scores on customer satisfaction in Shahriar, Alborz, Milad, and Varamin hospitals were 67.7, 65, 59.4, and 50, respectively. The customer focus average scores in Shahriar, Alborz, Milad, and Varamin hospitals were 66.3, 63.3, 57.3, and 48.6, respectively. The total average scores on customer knowledge, satisfaction and customer focus in the investigated hospitals proved to be 56.4, 60.5, and 58.9, respectively. The paper is of value in showing that implementation of the quality improvement model could considerably improve customer focus level.

  15. Introducing a Clustering Step in a Consensus Approach for the Scoring of Protein-Protein Docking Models

    KAUST Repository

    Chermak, Edrisse

    2016-11-15

    Correctly scoring protein-protein docking models to single out native-like ones is an open challenge. It is also an object of assessment in CAPRI (Critical Assessment of PRedicted Interactions), the community-wide blind docking experiment. We introduced in the field the first pure consensus method, CONSRANK, which ranks models based on their ability to match the most conserved contacts in the ensemble they belong to. In CAPRI, scorers are asked to evaluate a set of available models and select the top ten ones, based on their own scoring approach. Scorers\\' performance is ranked based on the number of targets/interfaces for which they could provide at least one correct solution. In such terms, blind testing in CAPRI Round 30 (a joint prediction round with CASP11) has shown that critical cases for CONSRANK are represented by targets showing multiple interfaces or for which only a very small number of correct solutions are available. To address these challenging cases, CONSRANK has now been modified to include a contact-based clustering of the models as a preliminary step of the scoring process. We used an agglomerative hierarchical clustering based on the number of common inter-residue contacts within the models. Two criteria, with different thresholds, were explored in the cluster generation, setting either the number of common contacts or of total clusters. For each clustering approach, after selecting the top (most populated) ten clusters, CONSRANK was run on these clusters and the top-ranked model for each cluster was selected, in the limit of 10 models per target. We have applied our modified scoring approach, Clust-CONSRANK, to SCORE_SET, a set of CAPRI scoring models made recently available by CAPRI assessors, and to the subset of homodimeric targets in CAPRI Round 30 for which CONSRANK failed to include a correct solution within the ten selected models. Results show that, for the challenging cases, the clustering step typically enriches the ten top ranked

  16. Evaluation of CASP8 model quality predictions

    KAUST Repository

    Cozzetto, Domenico

    2009-01-01

    The model quality assessment problem consists in the a priori estimation of the overall and per-residue accuracy of protein structure predictions. Over the past years, a number of methods have been developed to address this issue and CASP established a prediction category to evaluate their performance in 2006. In 2008 the experiment was repeated and its results are reported here. Participants were invited to infer the correctness of the protein models submitted by the registered automatic servers. Estimates could apply to both whole models and individual amino acids. Groups involved in the tertiary structure prediction categories were also asked to assign local error estimates to each predicted residue in their own models and their results are also discussed here. The correlation between the predicted and observed correctness measures was the basis of the assessment of the results. We observe that consensus-based methods still perform significantly better than those accepting single models, similarly to what was concluded in the previous edition of the experiment. © 2009 WILEY-LISS, INC.

  17. Measuring Quality Satisfaction with Servqual Model

    Directory of Open Access Journals (Sweden)

    Dan Păuna

    2012-05-01

    Full Text Available The orientation to customer satisfaction is not a recent phenomenon, many very successfulbusinesspeople from the beginning of the 20th century, such as Sir Henry Royce, a name synonymous withRoll – Royce vehicles, stated the first principle regarding customer satisfaction “Our interest in the Roll-Royce cars does not end at the moment when the owner pays for and takes delivery the car. Our interest in thecar never wanes. Our ambition is that every purchaser of the Rolls - Royce car shall continue to be more thansatisfied (Rolls-Royce.” The following paper tries to deal with the important qualities of the concept for themeasuring of the gap between expected costumer services satisfactions, and perceived services like a routinecustomer feedback process, by means of a relatively new model, the Servqual model.

  18. A Noninvasive Score Model for Prediction of NASH in Patients with Chronic Hepatitis B and Nonalcoholic Fatty Liver Disease

    Directory of Open Access Journals (Sweden)

    Jing Liang

    2017-01-01

    Full Text Available Aims. To develop a noninvasive score model to predict NASH in patients with combined CHB and NAFLD. Objective and Methods. 65 CHB patients with NAFLD were divided into NASH group (34 patients and non-NASH group (31 patients according to the NAS score. Biochemical indexes, liver stiffness, and Controlled Attenuation Parameter (CAP were determined. Data in the two groups were compared and subjected to multivariate analysis, to establish a score model for the prediction of NASH. Results. In the NASH group, ALT, TG, fasting blood glucose (FBG, M30 CK-18, CAP, and HBeAg positive ratio were significantly higher than in the non-NASH group (P<0.05. Multivariate analysis showed that CK-18 M30, CAP, FBG, and HBVDNA level were independent predictors of NASH. Therefore, a new model combining CK18 M30, CAP, FBG, and HBVDNA level was established using logistic regression. The AUROC curve predicting NASH was 0.961 (95% CI: 0.920–1.00, cutoff value is 0.218, with a sensitivity of 100% and specificity of 80.6%. Conclusion. A noninvasive score model might be considered for the prediction of NASH in patients with CHB combined with NAFLD.

  19. Evaluating score- and feature-based likelihood ratio models for multivariate continuous data: applied to forensic MDMA comparison

    NARCIS (Netherlands)

    Bolck, A.; Ni, H.; Lopatka, M.

    2015-01-01

    Likelihood ratio (LR) models are moving into the forefront of forensic evidence evaluation as these methods are adopted by a diverse range of application areas in forensic science. We examine the fundamentally different results that can be achieved when feature- and score-based methodologies are

  20. MODELLING PURCHASING PROCESSES FROM QUALITY ASPECTS

    Directory of Open Access Journals (Sweden)

    Zora Arsovski

    2008-12-01

    Full Text Available Management has a fundamental task to identify and direct primary and specific processes within purchasing function, applying the up-to-date information infrastructure. ISO 9001:2000 defines a process as a number of interrelated or interactive activities transforming inputs and outputs, and the "process approach" as a systematic identification in management processes employed with the organization and particularly - relationships among the processes. To direct a quality management system using process approach, the organization is to determine the map of its general (basic processes. Primary processes are determined on the grounds of their interrelationship and impact on satisfying customers' needs. To make a proper choice of general business processes, it is necessary to determine the entire business flow, beginning with the customer demand up to the delivery of products or service provided. In the next step the process model is to be converted into data model which is essential for implementation of the information system enabling automation, monitoring, measuring, inspection, analysis and improvement of key purchase processes. In this paper are given methodology and some results of investigation of development of IS for purchasing process from aspects of quality.

  1. The Influence of Rater Effects in Training Sets on the Psychometric Quality of Automated Scoring for Writing Assessments

    Science.gov (United States)

    Wind, Stefanie A.; Wolfe, Edward W.; Engelhard, George, Jr.; Foltz, Peter; Rosenstein, Mark

    2018-01-01

    Automated essay scoring engines (AESEs) are becoming increasingly popular as an efficient method for performance assessments in writing, including many language assessments that are used worldwide. Before they can be used operationally, AESEs must be "trained" using machine-learning techniques that incorporate human ratings. However, the…

  2. Automatic Promotion and Student Dropout: Evidence from Uganda, Using Propensity Score in Difference in Differences Model

    Science.gov (United States)

    Okurut, Jeje Moses

    2018-01-01

    The impact of automatic promotion practice on students dropping out of Uganda's primary education was assessed using propensity score in difference in differences analysis technique. The analysis strategy was instrumental in addressing the selection bias problem, as well as biases arising from common trends over time, and permanent latent…

  3. Poor sleep quality predicts decreased cognitive function independently of chronic mountain sickness score in young soldiers with polycythemia stationed in Tibet.

    Science.gov (United States)

    Kong, Fan-Yi; Li, Qiang; Liu, Shi-Xiang

    2011-01-01

    Little is known about the association between poor sleep and cognitive function in people with polycythemia at high altitude. The aim of this study was to survey the sleep quality of individuals with polycythemia at high altitude and determine its association with cognitive abilities. We surveyed 230 soldiers stationed in Tibet (all men; mean age 21-52±4.30 yr) at altitudes ranging from 3658 to 3996 m. All participants were given a blood tests for hemoglobin level and a questionnaire survey of cognitive function. Polycythemia was defined as excessive erythrocytosis (Hb≥21 g/dL in men or ≥19 g/dL in women). Poor sleepers were defined as having a global Pittsburgh Sleep Quality Index score (PSQI)>5. Cognitive abilities were determined by the Chinese revision of the Wechsler Adult Intelligence Scale and the Benton Visual Retention Test. Multiple linear regression analysis was used to determine the association between the PSQI and cognitive function. Logistic regression analysis was performed to determine the independent effect of sleep quality on cognitive function. The global PSQI score of enrolled participants was 8.14±3.79. Seventy-five (32.6%) soldiers were diagnosed with polycythemia. The proportion of poor sleepers was 1.45 times greater in those with polycythemia compared with those without polycythemia [95% (confidence interval) CI 1.82-2.56], and they had a statistically significant lower score for cognitive function. Multiple linear regression analysis showed that the global PSQI score was negatively associated with IQ (β=0.11, 95% CI -0.16 to -0.05) and digit symbol scores (β=0.66, 95% CI -0.86 to -0.44). Poor sleep quality was determined to be an independent predictor of impaired IQ [odds ratio (OR) 1.59, 95% CI 1.30-1.95] and digit symbol score (OR 1.18, 95% CI 1.07-1.31) in logistic regression analysis. The present study showed that for young soldiers with polycythemia at high altitude impaired subjective sleep quality was an independent

  4. 77 FR 4808 - Conference on Air Quality Modeling

    Science.gov (United States)

    2012-01-31

    ... preferred air quality models and to provide a forum for public review and comment on how the agency determines and applies air quality models in the future. DATES: Comments: Comments on how the agency determines and applies air quality models must be received on or before April 16, 2012. Conference: The...

  5. Development of an Instructional Quality Assurance Model in Nursing Science

    Science.gov (United States)

    Ajpru, Haruthai; Pasiphol, Shotiga; Wongwanich, Suwimon

    2011-01-01

    The purpose of this study was to develop an instructional quality assurance model in nursing science. The study was divided into 3 phases; (1) to study the information for instructional quality assurance model development (2) to develop an instructional quality assurance model in nursing science and (3) to audit and the assessment of the developed…

  6. Potential of mathematical modeling in fruit quality | Vazquez-Cruz ...

    African Journals Online (AJOL)

    Potential of mathematical modeling in fruit quality. ... important for flavor and aroma. These models have demonstrated their ability to generate relationships between physiological variables and quality attributes (allometric relations). This new kind of hybrid models has sufficient complexity to predict quality traits behavior.

  7. Food safety in food services in Lombardy: proposal for an inspection-scoring model

    Directory of Open Access Journals (Sweden)

    Claudia M. Balzaretti

    2017-12-01

    Full Text Available The purpose of this study was to elaborate a checklist with an inspection scoring system at national level in order to assess compliance with sanitary hygiene requirements of food services. The inspection scoring system was elaborated taking into account the guidelines drawn up by NYC Department of Food Safety and Mental Hygiene. Moreover the checklist was used simultaneously with the standard inspection protocol adopted by Servizio Igiene Alimenti Nutrizione (Servizio Igiene Alimenti Nutrizione - Ss. I.A.N and defined by D.G.R 6 March 2017 – n. X/6299 Lombardy Region. Ss. I.A.N protocol consists of a qualitative response according to which we have generated a new protocol with three different grading: A, B and C. The designed checklist was divided into 17 sections. Each section corresponds to prerequisites to be verified during the inspection. Every section includes the type of conformity to check and the type of violation: critical or general. Moreover, the failure to respect the expected compliance generates 4 severity levels that correspond to score classes. A total of 7 food services were checked with the two different inspection methods. The checklist results generated a food safety score for each food service that ranged from 0.0 (no flaws observed to 187.2, and generates three grading class: A (0.0-28.0; B (29.0 - 70.0 and C (>71.00. The results from the Ss. I. A. N grading method and the checklist show positive correlation (r=0.94, P>0.01 suggesting that the methods are comparable. Moreover, our scoring checklist is an easy and unique method compared to standard and allows also managers to perform effective surveillance programs in food service.

  8. SVMQA: support-vector-machine-based protein single-model quality assessment.

    Science.gov (United States)

    Manavalan, Balachandran; Lee, Jooyoung

    2017-08-15

    The accurate ranking of predicted structural models and selecting the best model from a given candidate pool remain as open problems in the field of structural bioinformatics. The quality assessment (QA) methods used to address these problems can be grouped into two categories: consensus methods and single-model methods. Consensus methods in general perform better and attain higher correlation between predicted and true quality measures. However, these methods frequently fail to generate proper quality scores for native-like structures which are distinct from the rest of the pool. Conversely, single-model methods do not suffer from this drawback and are better suited for real-life applications where many models from various sources may not be readily available. In this study, we developed a support-vector-machine-based single-model global quality assessment (SVMQA) method. For a given protein model, the SVMQA method predicts TM-score and GDT_TS score based on a feature vector containing statistical potential energy terms and consistency-based terms between the actual structural features (extracted from the three-dimensional coordinates) and predicted values (from primary sequence). We trained SVMQA using CASP8, CASP9 and CASP10 targets and determined the machine parameters by 10-fold cross-validation. We evaluated the performance of our SVMQA method on various benchmarking datasets. Results show that SVMQA outperformed the existing best single-model QA methods both in ranking provided protein models and in selecting the best model from the pool. According to the CASP12 assessment, SVMQA was the best method in selecting good-quality models from decoys in terms of GDTloss. SVMQA method can be freely downloaded from http://lee.kias.re.kr/SVMQA/SVMQA_eval.tar.gz. jlee@kias.re.kr. Supplementary data are available at Bioinformatics online. © The Author (2017). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com

  9. CMAQ Involvement in Air Quality Model Evaluation International Initiative

    Science.gov (United States)

    Description of Air Quality Model Evaluation International Initiative (AQMEII). Different chemical transport models are applied by different groups over North America and Europe and evaluated against observations.

  10. The Educational Situation Quality Model: Recent Advances

    Science.gov (United States)

    Doménech-Betoret, Fernando

    2018-01-01

    The purpose of this work was to present an educational model developed in recent years entitled the “The Educational Situation Quality Model” (MOCSE, acronym in Spanish). MOCSE can be defined as an instructional model that simultaneously considers the teaching-learning process, where motivation plays a central role. It explains the functioning of an educational setting by organizing and relating the most important variables which, according to the literature, contribute to student learning. Besides being a conceptual framework, this model also provides a methodological procedure to guide research and to promote reflection in the classroom. It allows teachers to implement effective research-action programs to improve teacher–students satisfaction and learning outcomes in the classroom context. This work explains the model’s characteristics and functioning, recent advances, and how teachers can use it in an educational setting with a specific subject. This proposal integrates approaches from several relevant psycho-educational theories and introduces a new perspective into the existing literature that will allow researchers to make progress in studying educational setting functioning. The initial MOCSE configuration has been refined over time in accordance with the empirical results obtained from previous research, carried out within the MOCSE framework and with the subsequent reflections that derived from these results. Finally, the contribution of the model to improve learning outcomes and satisfaction, and its applicability in the classroom, are also discussed. PMID:29593623

  11. The Educational Situation Quality Model: Recent Advances

    Directory of Open Access Journals (Sweden)

    Fernando Doménech-Betoret

    2018-03-01

    Full Text Available The purpose of this work was to present an educational model developed in recent years entitled the “The Educational Situation Quality Model” (MOCSE, acronym in Spanish. MOCSE can be defined as an instructional model that simultaneously considers the teaching-learning process, where motivation plays a central role. It explains the functioning of an educational setting by organizing and relating the most important variables which, according to the literature, contribute to student learning. Besides being a conceptual framework, this model also provides a methodological procedure to guide research and to promote reflection in the classroom. It allows teachers to implement effective research-action programs to improve teacher–students satisfaction and learning outcomes in the classroom context. This work explains the model’s characteristics and functioning, recent advances, and how teachers can use it in an educational setting with a specific subject. This proposal integrates approaches from several relevant psycho-educational theories and introduces a new perspective into the existing literature that will allow researchers to make progress in studying educational setting functioning. The initial MOCSE configuration has been refined over time in accordance with the empirical results obtained from previous research, carried out within the MOCSE framework and with the subsequent reflections that derived from these results. Finally, the contribution of the model to improve learning outcomes and satisfaction, and its applicability in the classroom, are also discussed.

  12. Quality assessment of emergency wards in Khorramabad public hospitals based on EFQM model

    Directory of Open Access Journals (Sweden)

    mohammad hasan Imani-Nasab

    2012-12-01

    Conclusion: Findings show that quality of studied wards is less than the model standards and other similar studies considerably. From view point of the researcher the existing gap with external studies is logical and in comparison with internal studies is irrational. The studied wards acquired the most score in process criterion and the least score in policy and strategy criterion. Also ,findings shows a negative relation between results of assessment based on EFQM model and current evaluation system of the ministry of health, so it is suggested that the current system should be revised fundamenally.

  13. Novel Scoring Criteria for the Evaluation of Ocular Graft Versus Host Disease in a Pre-Clinical Allo-HSCT Animal Model

    Science.gov (United States)

    Perez, Victor L.; Barsam, Alexander; Duffort, Stephanie; Urbieta, Maitee; Barreras, Henry; Lightbourn, Casey; Levy, Robert B.

    2017-01-01

    Ocular complications occur after transplant in 60–90% of chronic graft versus host disease (GVHD) patients and significantly impair vision-related quality of life. Ocular surface inflammation and dry eye disease (DED) are the most common manifestations of ocular GVHD (oGVHD). oGVHD can be viewed as an excellent pre- clinical model that can be studied to understand the immune pathogenesis of this common and debilitating disease. A limitation of this is that only a few experimental models mimic the ocular complications following HSCT and have focused on the acute GVHD process. To address this issue, we used a pre-clinical animal model developed by our group where ocular involvement was preceded by systemic GVHD to gain insight regarding the contributing immune mechanisms. Employing this "MUD" model enabled the development of a clinical scoring criterion, which readily identified different degrees of ocular pathology at both the ocular surface and adnexa dependent on the level of conditioning prior to HSCT. As far as we are aware we report that for the first time these clinical and immune responses occur not only on the ocular surface, but also heavily involve the lid margin region. In total, the present study reports a pre-clinical scoring model that can be applied to animal models as investigators look to further explore GVHD's immunologic effects at the level of the ocular surface and eyelid adnexa compartments. We speculate that future studies will use this clinical scoring index in combination with what is recognized histologically and correlated with serum biomarkers being identified in chronic/ocular GVHD. PMID:27492793

  14. Novel Scoring Criteria for the Evaluation of Ocular Graft-versus-Host Disease in a Preclinical Allogeneic Hematopoietic Stem Cell Transplantation Animal Model.

    Science.gov (United States)

    Perez, Victor L; Barsam, Alexander; Duffort, Stephanie; Urbieta, Maitee; Barreras, Henry; Lightbourn, Casey; Komanduri, Krishna V; Levy, Robert B

    2016-10-01

    Ocular complications occur after transplantation in 60% to 90% of chronic graft-versus-host disease (GVHD) patients and significantly impair vision-related quality of life. Ocular surface inflammation and dry eye disease are the most common manifestations of ocular GVHD. Ocular GVHD can be viewed as an excellent preclinical model that can be studied to understand the immune pathogenesis of this common and debilitating disease. A limitation of this is that only a few experimental models mimic the ocular complications after hematopoietic stem cell transplantation (HSCT) and have focused on the acute GVHD process. To address this issue, we used a preclinical animal model developed by our group where ocular involvement was preceded by systemic GVHD to gain insight regarding the contributing immune mechanisms. Employing this "matched unrelated donor" model enabled the development of clinical scoring criteria, which readily identified different degrees of ocular pathology at both the ocular surface and adnexa, dependent on the level of conditioning before HSCT. As far as we are aware, we report for the first time that these clinical and immune responses occur not only on the ocular surface, but they also heavily involve the lid margin region. In total, the present study reports a preclinical scoring model that can be applied to animal models as investigators look to further explore GVHD's immunologic effects at the level of the ocular surface and eyelid adnexa compartments. We speculate that future studies will use this clinical scoring index in combination with what is recognized histologically and correlated with serum biomarkers identified in chronic/ocular GVHD. Copyright © 2016 The American Society for Blood and Marrow Transplantation. Published by Elsevier Inc. All rights reserved.

  15. A quantified risk-scoring system and rating model for postsurgical gastroparesis syndrome in gastric cancer patients.

    Science.gov (United States)

    Chen, Xiao-Dong; Mao, Chen-Chen; Zhang, Wei-Teng; Lin, Ji; Wu, Rui-Sen; Zhang, Feng-Min; Sun, Xiang-Wei; Chi, Chu-Huai; Shen, Xian; Wang, Peng-Fei

    2017-09-01

    The study aimed to investigate the relationship between obesity and postsurgical gastroparesis syndrome (PGS), and to construct a scoring system and a risk model to identify patients at high risk. A total of 634 patients were retrospectively analyzed. Clinical characteristics were evaluated via receiver operating characteristic (ROC) curve analysis. Logistic analysis was performed to determine the independent predictive indicators of PGS. A scoring system consisting of these indicators and a risk-rating model were constructed and evaluated via ROC curve analysis. Based on the ROC curves, the visceral fat area (VFA) cutoff value for PGS was 94.00. Logistic analysis showed that visceral obesity (VFA ≥ 94.00 cm 2 ), the reconstruction technique, and tumor size were independent prognostic factors for PGS. The scoring system could predict PGS reliably with a high area under the ROC curve ([AUC] = 0.769). A high-risk rating had a high AUC (AUC I = 0.56, AUC II = 0.65, and AUC III = 0.77), indicating that the risk-rating model could effectively screen patients at high risk of PGS. Visceral obesity defined by VFA effectively predicted PGS. Our scoring system may be a reliable instrument for identifying patients most at risk of PGS. © 2017 Wiley Periodicals, Inc.

  16. Labour Quality Model for Organic Farming Food Chains

    OpenAIRE

    Gassner, B.; Freyer, B.; Leitner, H.

    2008-01-01

    The debate on labour quality in science is controversial as well as in the organic agriculture community. Therefore, we reviewed literature on different labour quality models and definitions, and had key informant interviews on labour quality issues with stakeholders in a regional oriented organic agriculture bread food chain. We developed a labour quality model with nine quality categories and discussed linkages to labour satisfaction, ethical values and IFOAM principles.

  17. Data Acquisition for Quality Loss Function Modelling

    DEFF Research Database (Denmark)

    Pedersen, Søren Nygaard; Howard, Thomas J.

    2016-01-01

    Quality loss functions can be a valuable tool when assessing the impact of variation on product quality. Typically, the input for the quality loss function would be a measure of the varying product performance and the output would be a measure of quality. While the unit of the input is given by t...

  18. Values for digestible indispensable amino acid scores (DIAAS) for some dairy and plant proteins may better describe protein quality than values calculated using the concept for protein digestibility-corrected amino acid scores (PDCAAS).

    Science.gov (United States)

    Mathai, John K; Liu, Yanhong; Stein, Hans H

    2017-02-01

    An experiment was conducted to compare values for digestible indispensable amino acid scores (DIAAS) for four animal proteins and four plant proteins with values calculated as recommended for protein digestibility-corrected amino acid scores (PDCAAS), but determined in pigs instead of in rats. Values for standardised total tract digestibility (STTD) of crude protein (CP) and standardised ileal digestibility (SID) of amino acids (AA) were calculated for whey protein isolate (WPI), whey protein concentrate (WPC), milk protein concentrate (MPC), skimmed milk powder (SMP), pea protein concentrate (PPC), soya protein isolate (SPI), soya flour and whole-grain wheat. The PDCAAS-like values were calculated using the STTD of CP to estimate AA digestibility and values for DIAAS were calculated from values for SID of AA. Results indicated that values for SID of most indispensable AA in WPI, WPC and MPC were greater (PPDCAAS-like values and DIAAS, PDCAAS-like values were greater (PPDCAAS-like values estimated in pigs may overestimate the quality of these proteins.

  19. Air Quality – monitoring and modelling

    Directory of Open Access Journals (Sweden)

    Marius DEACONU

    2012-12-01

    Full Text Available Air pollution is a major concern for all nations, regardless of their development. The rapid growth of the industrial sector and urban development have lead to significant quantities of substances and toxic materials, mostly discharged into the atmosphere and having adverse effects both on human health and environment in general. Human society has to recognize that environment has only a limited capacity to process all of its waste without major changes. Each of us is a pollutant but also a victim of pollution. If monitoring of air pollutants is particularly important for assessing the air quality at any moment, by modelling the monitoring data spectacular results are obtained both through the factor analysis and identification of potential pollution mitigation measures. Latest equipment and techniques come and support these problems giving medium and long term solutions.

  20. Evaluating NOx emission inventories for regulatory air quality modeling using satellite and air quality model data

    Science.gov (United States)

    Kemball-Cook, Susan; Yarwood, Greg; Johnson, Jeremiah; Dornblaser, Bright; Estes, Mark

    2015-09-01

    The purpose of this study was to assess the accuracy of NOx emissions in the Texas Commission on Environmental Quality's (TCEQ) State Implementation Plan (SIP) modeling inventories of the southeastern U.S. We used retrieved satellite tropospheric NO2 columns from the Ozone Monitoring Instrument (OMI) together with NO2 columns from the Comprehensive Air Quality Model with Extensions (CAMx) to make top-down NOx emissions estimates using the mass balance method. Two different top-down NOx emissions estimates were developed using the KNMI DOMINO v2.0 and NASA SP2 retrievals of OMI NO2 columns. Differences in the top-down NOx emissions estimates made with these two operational products derived from the same OMI radiance data were sufficiently large that they could not be used to constrain the TCEQ NOx emissions in the southeast. The fact that the two available operational NO2 column retrievals give such different top-down NOx emissions results is important because these retrievals are increasingly being used to diagnose air quality problems and to inform efforts to solve them. These results reflect the fact that NO2 column retrievals are a blend of measurements and modeled data and should be used with caution in analyses that will inform policy development. This study illustrates both benefits and challenges of using satellite NO2 data for air quality management applications. Comparison with OMI NO2 columns pointed the way toward improvements in the CAMx simulation of the upper troposphere, but further refinement of both regional air quality models and the NO2 column retrievals is needed before the mass balance and other emission inversion methods can be used to successfully constrain NOx emission inventories used in U.S. regulatory modeling.

  1. A critical study of quality parameters in health care establishment: developing an integrated quality model

    NARCIS (Netherlands)

    Azam, M.; Rahman, Z.; Talib, F.; Singh, K.J.

    2012-01-01

    PURPOSE: The purpose of this article is to identify and critically analyze healthcare establishment (HCE) quality parameters described in the literature. It aims to propose an integrated quality model that includes technical quality and associated supportive quality parameters to achieve optimum

  2. Do medical student stress, health, or quality of life foretell step 1 scores? A comparison of students in traditional and revised preclinical curricula.

    Science.gov (United States)

    Tucker, Phebe; Jeon-Slaughter, Haekyung; Sener, Ugur; Arvidson, Megan; Khalafian, Andrey

    2015-01-01

    We explored the theory that measures of medical students' well-being and stress from different types of preclinical curricula are linked with performance on standardized assessment. Self-reported stress and quality of life among sophomore medical students having different types of preclinical curricula will vary in their relationships to USMLE Step 1 scores. Voluntary surveys in 2010 and 2011 compared self-reported stress, physical and mental health, and quality of life with Step 1 scores for beginning sophomore students in the final year of a traditional, discipline-based curriculum and the 1st year of a revised, systems-based curriculum with changed grading system. Wilcoxon rank sum tests and Spearman rank correlations were used to analyze data, significant at p life stress than traditional curriculum students. However, among curriculum-related stressors, few differences emerged; revised curriculum sophomores reported less stress working with real and standardized patients than traditional students. There were no class differences in respondents' Step 1 scores. Among emotional and physical health measures, only feelings of morale correlated negatively with Step 1 performance. Revised curriculum students' Step 1 scores correlated negatively with stress from difficulty of coursework. Although revised curriculum students reported worse quality of life, general stress, and health and less stress from patient interactions than traditional students, few measures were associated with performance differences on Step 1. Moreover, curriculum type did not appear to either hinder or help students' Step 1 performance. To identify and help students at risk for academic problems, future assessments of correlates of Step 1 performance should be repeated after the new curriculum is well established, relating them also to performance on other standardized assessments of communication skills, professionalism, and later clinical evaluations in clerkships or internships.

  3. No Reference Video-Quality-Assessment Model for Monitoring Video Quality of IPTV Services

    Science.gov (United States)

    Yamagishi, Kazuhisa; Okamoto, Jun; Hayashi, Takanori; Takahashi, Akira

    Service providers should monitor the quality of experience of a communication service in real time to confirm its status. To do this, we previously proposed a packet-layer model that can be used for monitoring the average video quality of typical Internet protocol television content using parameters derived from transmitted packet headers. However, it is difficult to monitor the video quality per user using the average video quality because video quality depends on the video content. To accurately monitor the video quality per user, a model that can be used for estimating the video quality per video content rather than the average video quality should be developed. Therefore, to take into account the impact of video content on video quality, we propose a model that calculates the difference in video quality between the video quality of the estimation-target video and the average video quality estimated using a packet-layer model. We first conducted extensive subjective quality assessments for different codecs and video sequences. We then model their characteristics based on parameters related to compression and packet loss. Finally, we verify the performance of the proposed model by applying it to unknown data sets different from the training data sets used for developing the model.

  4. ISO 9000 and the total quality management models

    OpenAIRE

    Pacios Lozano, Ana Reyes

    1997-01-01

    Establishes the most outstanding differences between the ISO 9000 norms and total quality management as forms or manners of managing quality used in some information services. Compares two models of total quality: European Foundation far Quality Management and Malcolm Baldrige Awards.

  5. Source apportionment of gaseous atmospheric pollutants by means of an absolute principal component scores (APCS) receptor model

    Energy Technology Data Exchange (ETDEWEB)

    Bruno, P.; Caselli, M.; de Gennaro, G.; Traini, A. [Dept. of Chemistry, Univ. of Bari (Italy)

    2001-12-01

    A multivariate statistical method has been applied to apportion the atmospheric pollutant concentrations measured by automatic gas analyzers placed on a mobile laboratory for air quality monitoring in Taranto (Italy). In particular, Principal Component Analysis (PCA) followed by Absolute Principal Component Scores (APCS) technique was performed to identify the number of emission sources and their contribution to measured concentrations of CO, NO{sub x}, benzene toluene m+p-Xylene (BTX). This procedure singled out two different sources that explain about 85% of collected data variance. (orig.)

  6. The Reciprocal Internal/External Frame of Reference Model Using Grades and Test Scores

    Science.gov (United States)

    Möller, Jens; Zimmermann, Friederike; Köller, Olaf

    2014-01-01

    Background: The reciprocal I/E model (RI/EM) combines the internal/external frame of reference model (I/EM) with the reciprocal effects model (REM). The RI/EM extends the I/EM longitudinally and the REM across domains. The model predicts that, within domains, mathematics and verbal achievement (VACH) and academic self-concept have positive effects…

  7. Performance of the High-dimensional Propensity Score in a Nordic Healthcare Model

    DEFF Research Database (Denmark)

    Hallas, Jesper; Pottegård, Anton

    2017-01-01

    The high-dimensional propensity score (hdPS) is increasingly used as a tool to adjust for confounding in observational studies of drug effects. It was developed within very rich data sources, for example the American claims databases. Thus, it is unknown whether it can be applied in settings......) and traditional NSAIDs (tNSAIDs) and the risk of upper GI bleeding. Using Danish health registries, we identified 110,285 incident users of coxibs and 575,980 incident users of tNSAIDs and followed them for 90 days with respect to the occurrence of serious upper GI bleeding. Data were analysed using Cox...

  8. Low quality of life scores in school children with attention deficit-hyperactivity disorder related to anxiety

    OpenAIRE

    Zambrano-Sánchez,Elizabeth; Martínez-Cortés,José A.; Río-Carlos,Yolanda del; Dehesa-Moreno,Minerva; Poblano,Adrián

    2012-01-01

    OBJECTIVE: Attention deficit hyperactivity disorder (ADHD) is an alteration that begins early in infancy and whose cardinal symptoms are inattention, hyperactivity and impulsivity. There are few studies for specific tests to measure Quality of Life (QoL) in children with ADHD. METHODS: We evaluated QoL of 120 children from 7-12 years of age with ADHD and of a group of 98 healthy control children. To measure QoL, we utilized the Questionnaire of Quality of Life for Children in Pictures (AutoQu...

  9. Use of variety/diversity scores for diet quality measurement: relation with nutritional status of women in a rural area in Burkina Faso.

    Science.gov (United States)

    Savy, M; Martin-Prével, Y; Sawadogo, P; Kameli, Y; Delpeuch, F

    2005-05-01

    To develop scores for food variety and diversity to assess the overall dietary quality in an African rural area; and to study their relationship with the nutritional status of women of childbearing age. Cross-sectional. Sahelian rural area in the North-East Burkina Faso (West Africa). A total of 691 mothers with children below the age of 5 y, selected at random in 30 villages. A qualitative recall of women's food consumption during the previous 24 h made it possible to calculate a food variety score (FVS = count of food items consumed) and a dietary diversity score (DDS = count of food groups, among 14 groups). These scores were then divided into terciles. Body mass index (BMI), mid-upper arm circumference (MUAC) and body fat percentage (BFP) were used to determine the women's nutritional status. The overall dietary quality was poor: mean FVS (s.d.) = 8.3 (2.9) food items; mean DDS = 5.1 (1.7) food groups. A clear relationship was shown between both FVS and DDS (in terciles) and most nutritional indices. Women with a FVS in the lowest tercile had a mean BMI of 20.1, while those in the highest tercile had a BMI of 20.9 (P = 0.009). Those in the lowest tercile of DDS had a 22.8% prevalence of underweight vs 9.8% in the highest tercile (P < 0.0001). The latter relationship remained significant even when the subjects' sociodemographic and economic characteristics were accounted for. Dietary scores measured at the individual level are good proxies for overall dietary quality of women living in a poor rural African area. These scores were also shown to be linked with the nutritional status of women. IRD financed the study with the assistance of UNICEF for the purchase of anthropometric equipment. The first author received a research allowance from the French Ministry of Research through the doctoral school 393 of Pierre and Marie Curie University (Paris VI).

  10. Nutritional quality of breakfast and physical activity independently predict the literacy and numeracy scores of children after adjusting for socioeconomic status.

    Science.gov (United States)

    O'Dea, Jennifer A; Mugridge, Anna C

    2012-12-01

    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, and their national literacy and numeracy test scores were retrieved. Mothers (N = 755) completed a telephone interview. Students of highest school SES, maternal education, nutritional quality of breakfast, more sedentary time and female gender had higher literacy scores. SES, maternal education, male gender and total minutes of daily PA were predictors of numeracy with an interaction between greater total PA in boys and greater numeracy. Even though the socioeconomic factors that have predicted children's academic achievement for many decades are still clearly set in place, there are also other modifiable health influences that affect literacy and numeracy and are independent of SES. The current findings provide evidence for health educators and school administrators who may garner support for both breakfast programs and daily school PA for the dual purposes of health promotion as well as for the improvement of literacy and numeracy in settings in which social class may be acting against the educational interests of disadvantaged children.

  11. Rating the methodological quality in systematic reviews of studies on measurement properties: a scoring system for the COSMIN checklist

    NARCIS (Netherlands)

    Terwee, C.B.; Mokkink, L.B.; Knol, D.L.; Ostelo, R.W.J.G.; Bouter, L.M.; de Vet, H.C.W.

    2012-01-01

    Background: The COSMIN checklist is a standardized tool for assessing the methodological quality of studies on measurement properties. It contains 9 boxes, each dealing with one measurement property, with 5-18 items per box about design aspects and statistical methods. Our aim was to develop a

  12. Parent-Child Book-Reading Styles, Emotional Quality, and Changes in Early Head Start Children's Cognitive Scores

    Science.gov (United States)

    Cline, Keely D.; Edwards, Carolyn Pope

    2017-01-01

    Research Findings: The objective of this study was to understand how instructional book-reading style and emotional quality of reading interact and relate to cognitive skills in a sample of at-risk infants and toddlers. Participants were 81 parents and their children participating in Early Head Start programs in the rural Midwest. Correlation and…

  13. Antibody performance in ChIP-sequencing assays: From quality scores of public data sets to quantitative certification.

    Science.gov (United States)

    Mendoza-Parra, Marco-Antonio; Saravaki, Vincent; Cholley, Pierre-Etienne; Blum, Matthias; Billoré, Benjamin; Gronemeyer, Hinrich

    2016-01-01

    We have established a certification system for antibodies to be used in chromatin immunoprecipitation assays coupled to massive parallel sequencing (ChIP-seq). This certification comprises a standardized ChIP procedure and the attribution of a numerical quality control indicator (QCi) to biological replicate experiments. The QCi computation is based on a universally applicable quality assessment that quantitates the global deviation of randomly sampled subsets of ChIP-seq dataset with the original genome-aligned sequence reads. Comparison with a QCi database for >28,000 ChIP-seq assays were used to attribute quality grades (ranging from 'AAA' to 'DDD') to a given dataset. In the present report we used the numerical QC system to assess the factors influencing the quality of ChIP-seq assays, including the nature of the target, the sequencing depth and the commercial source of the antibody.  We have used this approach specifically to certify mono and polyclonal antibodies obtained from Active Motif directed against the histone modification marks H3K4me3, H3K27ac and H3K9ac for ChIP-seq. The antibodies received the grades AAA to BBC ( www.ngs-qc.org). We propose to attribute such quantitative grading of all antibodies attributed with the label "ChIP-seq grade".

  14. Modeling students' evealuation scores; comparing economics schools in Maastricht and Rotterdam

    NARCIS (Netherlands)

    Ph.H.B.F. Franses (Philip Hans); D.A. Patoir

    2002-01-01

    textabstractEach year the Dutch magazine Elsevier publishes the results of surveys amongst students concerning the perceived quality of academic studies. Unfortunately, the original survey data are not publicly available. We therefore repeat the survey for economics students in Maastricht and

  15. Mathematical programming models for classification problems with applications to credit scoring

    OpenAIRE

    Falangis, Konstantinos

    2013-01-01

    Mathematical programming (MP) can be used for developing classification models for the two–group classification problem. An MP model can be used to generate a discriminant function that separates the observations in a training sample of known group membership into the specified groups optimally in terms of a group separation criterion. The simplest models for MP discriminant analysis are linear programming models in which the group separation measure is generally based on th...

  16. Designing Excellence and Quality Model for Training Centers of Primary Health Care: A Delphi Method Study.

    Science.gov (United States)

    Tabrizi, Jafar-Sadegh; Farahbakhsh, Mostafa; Shahgoli, Javad; Rahbar, Mohammad Reza; Naghavi-Behzad, Mohammad; Ahadi, Hamid-Reza; Azami-Aghdash, Saber

    2015-10-01

    Excellence and quality models are comprehensive methods for improving the quality of healthcare. The aim of this study was to design excellence and quality model for training centers of primary health care using Delphi method. In this study, Delphi method was used. First, comprehensive information were collected using literature review. In extracted references, 39 models were identified from 34 countries and related sub-criteria and standards were extracted from 34 models (from primary 39 models). Then primary pattern including 8 criteria, 55 sub-criteria, and 236 standards was developed as a Delphi questionnaire and evaluated in four stages by 9 specialists of health care system in Tabriz and 50 specialists from all around the country. Designed primary model (8 criteria, 55 sub-criteria, and 236 standards) were concluded with 8 criteria, 45 sub-criteria, and 192 standards after 4 stages of evaluations by specialists. Major criteria of the model are leadership, strategic and operational planning, resource management, information analysis, human resources management, process management, costumer results, and functional results, where the top score was assigned as 1000 by specialists. Functional results had the maximum score of 195 whereas planning had the minimum score of 60. Furthermore the most and the least sub-criteria was for leadership with 10 sub-criteria and strategic planning with 3 sub-criteria, respectively. The model that introduced in this research has been designed following 34 reference models of the world. This model could provide a proper frame for managers of health system in improving quality.

  17. Particle approximations of the score and observed information matrix for parameter estimation in state space models with linear computational cost

    OpenAIRE

    Nemeth, Christopher; Fearnhead, Paul; Mihaylova, Lyudmila

    2013-01-01

    Poyiadjis et al. (2011) show how particle methods can be used to estimate both the score and the observed information matrix for state space models. These methods either suffer from a computational cost that is quadratic in the number of particles, or produce estimates whose variance increases quadratically with the amount of data. This paper introduces an alternative approach for estimating these terms at a computational cost that is linear in the number of particles. The method is derived u...

  18. Cardiovascular risk assessment in elderly adults using SCORE OP model in a Latin American population: The experience from Ecuador.

    Science.gov (United States)

    Sisa, Ivan

    2018-02-09

    Cardiovascular disease (CVD) mortality is predicted to increase in Latin America countries due to their rapidly aging population. However, there is very little information about CVD risk assessment as a primary preventive measure in this high-risk population. We predicted the national risk of developing CVD in Ecuadorian elderly population using the Systematic COronary Risk Evaluation in Older Persons (SCORE OP) High and Low models by risk categories/CVD risk region in 2009. Data on national cardiovascular risk factors were obtained from the Encuesta sobre Salud, Bienestar y Envejecimiento. We computed the predicted 5-year risk of CVD risk and compared the extent of agreement and reclassification in stratifying high-risk individuals between SCORE OP High and Low models. Analyses were done by risk categories, CVD risk region, and sex. In 2009, based on SCORE OP Low model almost 42% of elderly adults living in Ecuador were at high risk of suffering CVD over a 5-year period. The extent of agreement between SCORE OP High and Low risk prediction models was moderate (Cohen's kappa test of 0.5), 34% of individuals approximately were reclassified into different risk categories and a third of the population would benefit from a pharmacologic intervention to reduce the CVD risk. Forty-two percent of elderly Ecuadorians were at high risk of suffering CVD over a 5-year period, indicating an urgent need to tailor primary preventive measures for this vulnerable and high-risk population. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

  19. Designing and evaluating the MULTICOM protein local and global model quality prediction methods in the CASP10 experiment.

    Science.gov (United States)

    Cao, Renzhi; Wang, Zheng; Cheng, Jianlin

    2014-04-15

    Protein model quality assessment is an essential component of generating and using protein structural models. During the Tenth Critical Assessment of Techniques for Protein Structure Prediction (CASP10), we developed and tested four automated methods (MULTICOM-REFINE, MULTICOM-CLUSTER, MULTICOM-NOVEL, and MULTICOM-CONSTRUCT) that predicted both local and global quality of protein structural models. MULTICOM-REFINE was a clustering approach that used the average pairwise structural similarity between models to measure the global quality and the average Euclidean distance between a model and several top ranked models to measure the local quality. MULTICOM-CLUSTER and MULTICOM-NOVEL were two new support vector machine-based methods of predicting both the local and global quality of a single protein model. MULTICOM-CONSTRUCT was a new weighted pairwise model comparison (clustering) method that used the weighted average similarity between models in a pool to measure the global model quality. Our experiments showed that the pairwise model assessment methods worked better when a large portion of models in the pool were of good quality, whereas single-model quality assessment methods performed better on some hard targets when only a small portion of models in the pool were of reasonable quality. Since digging out a few good models from a large pool of low-quality models is a major challenge in protein structure prediction, single model quality assessment methods appear to be poised to make important contributions to protein structure modeling. The other interesting finding was that single-model quality assessment scores could be used to weight the models by the consensus pairwise model comparison method to improve its accuracy.

  20. An Overview of Quality Frameworks in Model-Driven Engineering and Observations on Transformation Quality

    OpenAIRE

    Dehlen, Vegard

    2007-01-01

    Quality is often defined as fitness for purpose which is the key property to determine when evaluating quality. This paper presents some general requirements for evaluating quality frameworks. It also discusses characteristics of MDE that are important when building a quality framework, such as its use of models in several stages of development and maintenance, and its multi-abstraction level approach that requires consistency and traceability. MDE should strive for engineering of quality int...

  1. Indoor Air Quality Building Education and Assessment Model Forms

    Science.gov (United States)

    The Indoor Air Quality Building Education and Assessment Model (I-BEAM) is a guidance tool designed for use by building professionals and others interested in indoor air quality in commercial buildings.

  2. Indoor Air Quality Building Education and Assessment Model

    Science.gov (United States)

    The Indoor Air Quality Building Education and Assessment Model (I-BEAM), released in 2002, is a guidance tool designed for use by building professionals and others interested in indoor air quality in commercial buildings.

  3. Video Quality Prediction Models Based on Video Content Dynamics for H.264 Video over UMTS Networks

    Directory of Open Access Journals (Sweden)

    Asiya Khan

    2010-01-01

    Full Text Available The aim of this paper is to present video quality prediction models for objective non-intrusive, prediction of H.264 encoded video for all content types combining parameters both in the physical and application layer over Universal Mobile Telecommunication Systems (UMTS networks. In order to characterize the Quality of Service (QoS level, a learning model based on Adaptive Neural Fuzzy Inference System (ANFIS and a second model based on non-linear regression analysis is proposed to predict the video quality in terms of the Mean Opinion Score (MOS. The objective of the paper is two-fold. First, to find the impact of QoS parameters on end-to-end video quality for H.264 encoded video. Second, to develop learning models based on ANFIS and non-linear regression analysis to predict video quality over UMTS networks by considering the impact of radio link loss models. The loss models considered are 2-state Markov models. Both the models are trained with a combination of physical and application layer parameters and validated with unseen dataset. Preliminary results show that good prediction accuracy was obtained from both the models. The work should help in the development of a reference-free video prediction model and QoS control methods for video over UMTS networks.

  4. A combined ultrasound and clinical scoring model for the prediction of peripartum complications in pregnancies complicated by placenta previa.

    Science.gov (United States)

    Yoon, So-Yeon; You, Ji Yeon; Choi, Suk-Joo; Oh, Soo-Young; Kim, Jong-Hwa; Roh, Cheong-Rae

    2014-09-01

    To generate a combined ultrasound and clinical model predictive for peripartum complications in pregnancies complicated by placenta previa. This study included 110 singleton pregnant women with placenta previa delivered by cesarean section (CS) from July 2011 to November 2013. We prospectively collected ultrasound and clinical data before CS and observed the occurrence of blood transfusion, uterine artery embolization and cesarean hysterectomy. We formulated a scoring model including type of previa (0: partials, 2: totalis), lacunae (0: none, 1: 1-3, 2: 4-6, 3: whole), uteroplacental hypervascularity (0: normal, 1: moderate, 2: severe), multiparity (0: no, 1: yes), history of CS (0: none, 1: once, 2: ≥ twice) and history of placenta previa (0: no, 1: yes) to predict the risk of peripartum complications. In our study population, the risk of perioperative transfusion, uterine artery embolization, and cesarean hysterectomy were 26.4, 1.8 and 6.4%, respectively. The type of previa, lacunae, uteroplacental hypervascularity, parity, history of CS, and history of placenta previa were associated with complications in univariable analysis. However, no factor was independently predictive for any complication in exact logistic regression analysis. Using the scoring model, we found that total score significantly correlated with perioperative transfusion, cesarean hysterectomy and composite complication (pplacenta previa. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  5. Diet quality as assessed by the Healthy Eating Index, the Alternate Healthy Eating Index, the Dietary Approaches to Stop Hypertension score, and health outcomes: a systematic review and meta-analysis of cohort studies.

    Science.gov (United States)

    Schwingshackl, Lukas; Hoffmann, Georg

    2015-05-01

    Dietary patterns consider synergistic effects compared with isolated foods or nutrients on health outcomes. The aim of this systematic review and meta-analysis was to examine the associations of diet quality as assessed by the Healthy Eating Index (HEI), the Alternate Healthy Eating Index (AHEI), and the Dietary Approaches to Stop Hypertension (DASH) score and the risk of all-cause mortality, cardiovascular mortality or incidence, cancer mortality or incidence, type 2 diabetes mellitus, and neurodegenerative diseases. A literature search was performed using the electronic databases MEDLINE, SCOPUS, and EMBASE with an end date of May 10, 2014. Study-specific risk ratios were pooled using a random effect model by the Cochrane software package Review Manager 5.2. Fifteen cohort studies (34 reports), including 1,020,642 subjects, met the criteria and were included in the meta-analysis. Diets of the highest quality, as assessed by the HEI, AHEI, and DASH score, resulted in a significant risk reduction (RR) for all-cause mortality (RR 0.78, 95% CI 0.76 to 0.80; PDiets that score highly on the HEI, AHEI, and DASH are associated with a significant reduction in the risk of all-cause mortality, cardiovascular disease, cancer, and type 2 diabetes mellitus by 22%, 22%, 15%, and 22%, respectively, and therefore is of high public health relevance. Copyright © 2015 Academy of Nutrition and Dietetics. Published by Elsevier Inc. All rights reserved.

  6. A critical study of quality parameters in health care establishment: developing an integrated quality model.

    Science.gov (United States)

    Azam, Mohammad; Rahman, Zillur; Talib, Faisal; Singh, K J

    2012-01-01

    The purpose of this article is to identify and critically analyze healthcare establishment (HCE) quality parameters described in the literature. It aims to propose an integrated quality model that includes technical quality and associated supportive quality parameters to achieve optimum patient satisfaction. The authors use an extensive in-depth healthcare quality literature review, discerning gaps via a critical analysis in relation to their overall impact on patient management, while identifying an integrated quality model acceptable to hospital staff. The article provides insights into contemporary HCE quality parameters by critically analyzing relevant literature. It also evolves and proposes an integrated HCE-quality model. Owing to HCE confidentiality, especially regarding patient data, information cannot be accessed. The integrated quality model parameters have practical utility for healthcare service managers. However, further studies may be required to refine and integrate newer parameters to ensure continuous quality improvement. This article adds a new perspective to understanding quality parameters and suggests an integrated quality model that has practical value for maintaining HCE service quality to benefit many stakeholders.

  7. Genetic Risk Score Modelling for Disease Progression in New-Onset Type 1 Diabetes Patients

    DEFF Research Database (Denmark)

    Brorsson, Caroline A; Nielsen, Lotte B; Andersen, Marie-Louise

    2016-01-01

    Genome-wide association studies (GWAS) have identified over 40 type 1 diabetes risk loci. The clinical impact of these loci on β-cell function during disease progression is unknown. We aimed at testing whether a genetic risk score could predict glycemic control and residual β-cell function in type...... 1 diabetes (T1D). As gene expression may represent an intermediate phenotype between genetic variation and disease, we hypothesized that genes within T1D loci which are expressed in islets and transcriptionally regulated by proinflammatory cytokines would be the best predictors of disease...... of the 11 candidate genes have overlapping biological functions and interact in a common network. Our results may help predict disease progression in newly diagnosed children with T1D which can be exploited for optimizing treatment....

  8. A hybrid model using decision tree and neural network for credit scoring problem

    Directory of Open Access Journals (Sweden)

    Amir Arzy Soltan

    2012-08-01

    Full Text Available Nowadays credit scoring is an important issue for financial and monetary organizations that has substantial impact on reduction of customer attraction risks. Identification of high risk customer can reduce finished cost. An accurate classification of customer and low type 1 and type 2 errors have been investigated in many studies. The primary objective of this paper is to develop a new method, which chooses the best neural network architecture based on one column hidden layer MLP, multiple columns hidden layers MLP, RBFN and decision trees and ensembling them with voting methods. The proposed method of this paper is run on an Australian credit data and a private bank in Iran called Export Development Bank of Iran and the results are used for making solution in low customer attraction risks.

  9. SELF-LEARNING SCORING MODELS – INTRODUCTION OF AN ON-LINE APPROACH TO RISK ASSESMENT

    Directory of Open Access Journals (Sweden)

    Ryszard Kozera

    2014-06-01

    Full Text Available The problem considered in this article involves the construction of evaluation model, which could subsequently be used in the fieldof modeling and risk management. The research work is finalizedby a construction of a new model on the basis of observa-tions of the models used for risk management and knowledge of information theory, machine learning and artificialneural networks. The developed tools are trained on-line, using their ability for automatic deduction rules based on data, during model application for evaluation tasks. The model, consequently changes the data analysis stage, limits the scope of the necessary expertise in the area, where the assessment model can be used and, to some extent, the shape of the model becomes independent from the current range of available data. These features increase its ability to general-ize and to cope with the data of previously undefinedclasses, as well as improve its resistance to gaps occurring in the data. Performance of the model presented in this paper is tested and verifiedon the basis of real-life data, which would resemble a potentially real practical application. Preliminary tests performed within the scope of this work indicate that the developed model can form a starting point for further research as some of the used mechanisms have a fairly high efficiency and flexibility.

  10. Advantages and limitations of the protein digestibility-corrected amino acid score (PDCAAS) as a method for evaluating protein quality in human diets.

    Science.gov (United States)

    Schaafsma, Gertjan

    2012-08-01

    PDCAAS is a widely used assay for evaluating protein quality. It is a chemical score, which is derived from the ratio between the first limiting amino acid in a test protein and the corresponding amino acid in a reference amino acid pattern and corrected for true faecal N digestibility. Chemical scores exceeding 100 % are truncated to 100 %. The advantages of the PDCAAS are its simplicity and direct relationship to human protein requirements. The limitations are as follows: the reference pattern is based on the minimum amino acid requirements for tissue growth and maintenance and does not necessarily reflect the optimum intake. Truncated PDCAAS of high-quality proteins do not give any information about the power of these proteins to compensate, as a supplement, for low levels of dietary essential amino acids in low-quality proteins. It is likely that faecal N digestibility does not take into account the loss from the colon of indispensable amino acids that were not absorbed in the ileum. Anti-nutritional factors, such as lectins and trypsin inhibitors, in several plant protein sources can cause heightened endogenous losses of amino acids, an issue which is particularly relevant in animal feedstuffs. The assumption that amino acid supplementation can completely restore biological efficiency of the protein source is incorrect since the kinetics of digestion and absorption between supplemented free amino acids and amino acids present in dietary proteins, are different.

  11. Greater Independence in Activities of Daily Living is Associated with Higher Health-Related Quality of Life Scores in Nursing Home Residents with Dementia

    Directory of Open Access Journals (Sweden)

    Charice S. Chan

    2015-06-01

    Full Text Available 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.

  12. Application of Quaternion in improving the quality of global sequence alignment scores for an ambiguous sequence target in Streptococcus pneumoniae DNA

    Science.gov (United States)

    Lestari, D.; Bustamam, A.; Novianti, T.; Ardaneswari, G.

    2017-07-01

    DNA sequence can be defined as a succession of letters, representing the order of nucleotides within DNA, using a permutation of four DNA base codes including adenine (A), guanine (G), cytosine (C), and thymine (T). The precise code of the sequences is determined using DNA sequencing methods and technologies, which have been developed since the 1970s and currently become highly developed, advanced and highly throughput sequencing technologies. So far, DNA sequencing has greatly accelerated biological and medical research and discovery. However, in some cases DNA sequencing could produce any ambiguous and not clear enough sequencing results that make them quite difficult to be determined whether these codes are A, T, G, or C. To solve these problems, in this study we can introduce other representation of DNA codes namely Quaternion Q = (PA, PT, PG, PC), where PA, PT, PG, PC are the probability of A, T, G, C bases that could appear in Q and PA + PT + PG + PC = 1. Furthermore, using Quaternion representations we are able to construct the improved scoring matrix for global sequence alignment processes, by applying a dot product method. Moreover, this scoring matrix produces better and higher quality of the match and mismatch score between two DNA base codes. In implementation, we applied the Needleman-Wunsch global sequence alignment algorithm using Octave, to analyze our target sequence which contains some ambiguous sequence data. The subject sequences are the DNA sequences of Streptococcus pneumoniae families obtained from the Genebank, meanwhile the target DNA sequence are received from our collaborator database. As the results we found the Quaternion representations improve the quality of the sequence alignment score and we can conclude that DNA sequence target has maximum similarity with Streptococcus pneumoniae.

  13. Effect of family empowerment model on quality of life in children with chronic kidney diseases.

    Science.gov (United States)

    Ghazavi, Zohreh; Minooei, Marzieh Sadat; Abdeyazdan, Zahra; Gheissari, Alaleh

    2014-07-01

    Quality of life is a concept, which in recent years is considered as a measure for health in chronic diseases such as kidney diseases. Complications of chronic diseases can affect the quality of life in children and their families over time. Therefore, empowerment programs are necessary to improve their quality of life. This study aimed to investigate the impact of the family empowerment model on the quality of life in children with chronic kidney diseases. This quasi-experimental study was conducted on 64 children with chronic kidney diseases and their families. The research tools included the questionnaire of demographic characteristics and the quality of life questionnaire 4(th) edition. After data collection in the first phase, the family empowerment model was implemented in the intervention group and the test was repeated after 1 month. For comparison of data between the two groups and within each group, independent t-test and paired t-test were used, respectively. Independent t-test showed that the mean score of quality of life was not significantly different in the two groups before intervention. However, after intervention, the differences were significant. Paired t-test showed a significant difference in the quality of life before and after intervention in the study group. The findings showed that family empowerment model was effective in increasing the quality of life of children with chronic kidney diseases. Thus, we suggest this model to be used in inpatient and outpatient children's health care.

  14. Scoring model to predict massive post-partum bleeding in pregnancies with placenta previa: A retrospective cohort study.

    Science.gov (United States)

    Lee, Ji Yeon; Ahn, Eun Hee; Kang, Sukho; Moon, Myung Jin; Jung, Sang Hee; Chang, Sung Woon; Cho, Hee Young

    2018-01-01

    We aimed to identify factors associated with massive post-partum bleeding in pregnancies with placenta previa and to establish a scoring model to predict post-partum severe bleeding. A retrospective cohort study was performed in 506 healthy singleton pregnancies with placenta previa from 2006 to 2016. Cases with intraoperative blood loss (≥2000 mL), packed red blood cells transfusion (≥4), uterine artery embolization, or hysterectomy were defined as massive bleeding. After performing multivariable analysis, using the adjusted odds ratios (aOR), we formulated a scoring model. Seventy-three women experienced massive post-partum bleeding (14.4%). After multivariable analysis, seven variables were associated with massive bleeding: maternal old age (≥35 years; aOR 1.79, 95% confidence interval [CI] 1.00-3.20, P = 0.049), antepartum bleeding (aOR 4.76, 95%CI 2.01-11.02, P placenta previa (aOR 1.93, 95%CI 1.05-3.54, P = 0.034), anterior placenta (aOR 2.74, 95%CI 1.54-4.89, P = 0.001), multiple lacunae (≥4; aOR 2.77, 95%CI 1.54-4.99, P = 0.001), and uteroplacental hypervascularity (aOR 4.51, 95%CI 2.30-8.83, P placenta previa type (incomplete: 0, complete: 1), placenta location (posterior: 0, anterior: 1), uteroplacental hypervascularity (no: 0, yes: 2), and multiple lacunae (no: 0, yes: 1) to predict post-partum massive bleeding. According to our scoring model, a score of 5/10 had a sensitivity of 81% and a specificity of 77% for predicting massive post-partum bleeding. The area under the receiver-operator curve was 0.856 (P placenta previa. © 2017 Japan Society of Obstetrics and Gynecology.

  15. The Influence of Syntactic Quality on Pragmatic Quality of Enterprise Process Models

    Directory of Open Access Journals (Sweden)

    Merethe Heggset

    2015-12-01

    Full Text Available As approaches and tools for process and enterprise modelling are maturing, these techniques are being taken into use on a large scale in an increasing number of organizations. In this paper we report on the use of process modelling in connection to the quality system of Statoil, a large Norwegian oil company, in particular, on the aspects found necessary to be emphasized to achieve the appropriate quality of the models in this organization. Based on the investigation of usage statistics and user feedback on models, we have identified that there are problems in comprehending some of the models. Some of these models has poorer syntactic quality than the average syntactic quality of models of the same size. An experiment with improving syntactic quality on some of these models has given mixed results, and it appears that certain syntactic errors hinder comprehension more than others.

  16. QAcon: single model quality assessment using protein structural and contact information with machine learning techniques.

    Science.gov (United States)

    Cao, Renzhi; Adhikari, Badri; Bhattacharya, Debswapna; Sun, Miao; Hou, Jie; Cheng, Jianlin

    2017-02-15

    Protein model quality assessment (QA) plays a very important role in protein structure prediction. It can be divided into two groups of methods: single model and consensus QA method. The consensus QA methods may fail when there is a large portion of low quality models in the model pool. In this paper, we develop a novel single-model quality assessment method QAcon utilizing structural features, physicochemical properties, and residue contact predictions. We apply residue-residue contact information predicted by two protein contact prediction methods PSICOV and DNcon to generate a new score as feature for quality assessment. This novel feature and other 11 features are used as input to train a two-layer neural network on CASP9 datasets to predict the quality of a single protein model. We blindly benchmarked our method QAcon on CASP11 dataset as the MULTICOM-CLUSTER server. Based on the evaluation, our method is ranked as one of the top single model QA methods. The good performance of the features based on contact prediction illustrates the value of using contact information in protein quality assessment. The web server and the source code of QAcon are freely available at: http://cactus.rnet.missouri.edu/QAcon. chengji@missouri.edu. Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

  17. Score distribution of the scoliosis research society health-related quality of life in different subgroups of adolescent subjects unaffected by scoliosis in China.

    Science.gov (United States)

    Wu, Weifei; Du, Yuanli; Liang, Jie; Chen, Ying; Tan, Xiaoyi; Xiang, Xuanping; Wang, Wanhong; Ru, Neng

    2014-02-01

    A comparative study. The aims of this study were to: (1) evaluate Scoliosis Research Society (SRS)-22 questionnaire performance in normal adolescents without scoliosis to establish a normative baseline useful for evaluating the discriminate validity of the SRS-22 in primary adolescent scoliosis; and (2) investigate impact of age and sex on SRS-22 in an adolescent population unaffected by scoliosis. The SRS-22 questionnaire is widely used to measure health-related quality of life of patients with spinal disease including scoliosis and lumbar spondylolisthesis. However, normal data, which are very important, when comparing patients and nonpatients, are few, little, and there are few studies about factors that may affect SRS questionnaire performance. The adolescent population was from 14 schools located in 7 provinces. A total of 2008 adolescents (961 females, 1026 males, 21 unknown; mean age, 14.3 yr; range, 11-20) completed the simplified Chinese version of SRS-22 questionnaire and demographic questions. Surveys were stratified into 8 age-sex groups for analysis: male/female; 12 to 13.4, 13.5 to 14.9, 15 to 15.9, and more than 16 years of age. Post hoc testing and the Tukey least significant difference were used to compare differences between any 2 of the 4 age groups. Self-image scores in males were higher than those in females (P < 0.01). Pain domain scores were significantly higher in males than those in females in the 13.5- to 14.9-year-old subgroup, whereas other subgroups showed no obvious differences. The function domain scores in males who were aged 15 to 15.9 years and those older than 16 years were significantly higher than those in females (P < 0.001). There were no statistically significant differences in mental health domain scores among age-sex subgroups, with the exception of the 13.5- to 14.9-year-old group. This is the first study to characterize the sex and age influence on the SRS-22 scores in normal population. Age and sex have an important

  18. Significance of baseline and change in quality of life scores in predicting clinical outcomes in an international phase III trial of advanced pancreatic cancer: NCIC CTG PA.3.

    Science.gov (United States)

    Vickers, M M; Lee, C; Tu, D; Wheatley-Price, P; Parulekar, W; Brundage, M D; Moore, M J; Au, H; O'Callaghan, C J; Jonker, D J; Ringash, J; Goldstein, D

    There is insufficient information regarding the prognostic significance of baseline and change in quality of life (QoL) scores on overall survival (OS) in advanced pancreatic cancer. QoL was assessed prospectively using the EORTC QLQ-C30 as part of the PA.3 trial of gemcitabine + erlotinib (G + E) vs. gemcitabine + placebo (G + P). Relevant variables and QoL scores at baseline and change at 8 weeks were analyzed by Cox stepwise regression to determine predictors of OS. 222 of 285 patients (pts) treated with G + E and 220 of 284 pts treated with G + P completed baseline QoL assessments. In a multivariable Cox analysis combining all pts, better QoL physical functioning (PF) score independently predicted longer OS (HR 0.86; CI: 0.80-0.93), as did non-white race (HR 0.64; CI: 0.44-0.95), PS 0-1 (HR 0.65; CI: 0.50-0.85), locally advanced disease (HR 0.55; CI: 0.43-0.71) and G + E (HR 0.78; CI: 0.64-0.96). Improvement in physical function at week 8 also predicted for improved survival (HR 0.89; CI: 0.81-0.97 for 10 point increase in score, p = 0.02). In addition to clinical variables, patient reported QoL scores at baseline and change from baseline to week 8 added incremental predictive information regarding survival for advanced pancreatic cancer patients. Copyright © 2016 IAP and EPC. Published by Elsevier B.V. All rights reserved.

  19. Impact of model-based iterative reconstruction on image quality of contrast-enhanced neck CT.

    Science.gov (United States)

    Gaddikeri, S; Andre, J B; Benjert, J; Hippe, D S; Anzai, Y

    2015-02-01

    Improved image quality is clinically desired for contrast-enhanced CT of the neck. We compared 30% adaptive statistical iterative reconstruction and model-based iterative reconstruction algorithms for the assessment of image quality of contrast-enhanced CT of the neck. Neck contrast-enhanced CT data from 64 consecutive patients were reconstructed retrospectively by using 30% adaptive statistical iterative reconstruction and model-based iterative reconstruction. Objective image quality was assessed by comparing SNR, contrast-to-noise ratio, and background noise at levels 1 (mandible) and 2 (superior mediastinum). Two independent blinded readers subjectively graded the image quality on a scale of 1-5, (grade 5 = excellent image quality without artifacts and grade 1 = nondiagnostic image quality with significant artifacts). The percentage of agreement and disagreement between the 2 readers was assessed. Compared with 30% adaptive statistical iterative reconstruction, model-based iterative reconstruction significantly improved the SNR and contrast-to-noise ratio at levels 1 and 2. Model-based iterative reconstruction also decreased background noise at level 1 (P = .016), though there was no difference at level 2 (P = .61). Model-based iterative reconstruction was scored higher than 30% adaptive statistical iterative reconstruction by both reviewers at the nasopharynx (P quality (P model-based iterative reconstruction. Model-based iterative reconstruction offers improved subjective and objective image quality as evidenced by a higher SNR and contrast-to-noise ratio and lower background noise within the same dataset for contrast-enhanced neck CT. Model-based iterative reconstruction has the potential to reduce the radiation dose while maintaining the image quality, with a minor downside being prominent artifacts related to thyroid shield use on model-based iterative reconstruction. © 2015 by American Journal of Neuroradiology.

  20. Propensity Scores

    Science.gov (United States)

    Luellen, Jason K.; Shadish, William R.; Clark, M. H.

    2005-01-01

    Propensity score analysis is a relatively recent statistical innovation that is useful in the analysis of data from quasi-experiments. The goal of propensity score analysis is to balance two non-equivalent groups on observed covariates to get more accurate estimates of the effects of a treatment on which the two groups differ. This article…

  1. Quality Assurance Model for Digital Adult Education Materials

    Science.gov (United States)

    Dimou, Helen; Kameas, Achilles

    2016-01-01

    Purpose: This paper aims to present a model for the quality assurance of digital educational material that is appropriate for adult education. The proposed model adopts the software quality standard ISO/IEC 9126 and takes into account adult learning theories, Bloom's taxonomy of learning objectives and two instructional design models: Kolb's model…

  2. Transport services quality measurment using SERVQUAL model

    Directory of Open Access Journals (Sweden)

    Maksimović Mlađan V.

    2017-01-01

    Full Text Available Quality in the world is considered to be the most important phenomenon of our age, with a permanent and irreversible growing trend of its emphasis. Many companies have come to the conclusion that high quality of services can provide them with a potential competitive advantage, leading to superior sales results and profit making. The aim of this paper is to test the applicability of service SERVQUAL dimensions and measure the quality of services in the public transport of passengers. Based on the data obtained by researching the views of public transport users in Kragujevac using the SERVQUAL methodology and statistical analysis based on defined service quality dimensions, this research will show the level of quality of urban transport services in Kragujevac and based on this, make recommendations for improving the quality of service.

  3. Development of an indoor air quality checklist for risk assessment of indoor air pollutants by semiquantitative score in nonindustrial workplaces

    Science.gov (United States)

    Syazwan, AI; Rafee, B Mohd; Hafizan, Juahir; Azman, AZF; Nizar, AM; Izwyn, Z; Muhaimin, AA; Yunos, MA Syafiq; Anita, AR; Hanafiah, J Muhamad; Shaharuddin, MS; Ibthisham, A Mohd; Ismail, Mohd Hasmadi; Azhar, MN Mohamad; Azizan, HS; Zulfadhli, I; Othman, J

    2012-01-01

    Background To meet the current diversified health needs in workplaces, especially in nonindustrial workplaces in developing countries, an indoor air quality (IAQ) component of a participatory occupational safety and health survey should be included. Objectives The purpose of this study was to evaluate and suggest a multidisciplinary, integrated IAQ checklist for evaluating the health risk of building occupants. This IAQ checklist proposed to support employers, workers, and assessors in understanding a wide range of important elements in the indoor air environment to promote awareness in nonindustrial workplaces. Methods The general structure of and specific items in the IAQ checklist were discussed in a focus group meeting with IAQ assessors based upon the result of a literature review, previous industrial code of practice, and previous interviews with company employers and workers. Results For practicality and validity, several sessions were held to elicit the opinions of company members, and, as a result, modifications were made. The newly developed IAQ checklist was finally formulated, consisting of seven core areas, nine technical areas, and 71 essential items. Each item was linked to a suitable section in the Industry Code of Practice on Indoor Air Quality published by the Department of Occupational Safety and Health. Conclusion Combined usage of an IAQ checklist with the information from the Industry Code of Practice on Indoor Air Quality would provide easily comprehensible information and practical support. Intervention and evaluation studies using this newly developed IAQ checklist will clarify the effectiveness of a new approach in evaluating the risk of indoor air pollutants in the workplace. PMID:22570579

  4. Towards a Tool-Supported Quality Model for Model-Driven Engineering

    OpenAIRE

    Mohagheghi, Parastoo

    2008-01-01

    This paper reviews definitions of model quality before introducing five properties of models that are important for building high-quality models. These are identified to be correctness, completeness, consistency, comprehensibility and confinement. We have earlier defined a quality model that separates intangible quality goals from tangible quality-carrying properties and practices that should be in place to support these properties.  A part of that work was to define a metamodel for deve...

  5. The use of the SF-36 questionnaire in adult survivors of childhood cancer: evaluation of data quality, score reliability, and scaling assumptions

    Directory of Open Access Journals (Sweden)

    Winter David L

    2006-10-01

    Full Text Available Abstract Background The SF-36 has been used in a number of previous studies that have investigated the health status of childhood cancer survivors, but it never has been evaluated regarding data quality, scaling assumptions, and reliability in this population. As health status among childhood cancer survivors is being increasingly investigated, it is important that the measurement instruments are reliable, validated and appropriate for use in this population. The aim of this paper was to determine whether the SF-36 questionnaire is a valid and reliable instrument in assessing self-perceived health status of adult survivors of childhood cancer. Methods We examined the SF-36 to see how it performed with respect to (1 data completeness, (2 distribution of the scale scores, (3 item-internal consistency, (4 item-discriminant validity, (5 internal consistency, and (6 scaling assumptions. For this investigation we used SF-36 data from a population-based study of 10,189 adult survivors of childhood cancer. Results Overall, missing values ranged per item from 0.5 to 2.9 percent. Ceiling effects were found to be highest in the role limitation-physical (76.7% and role limitation-emotional (76.5% scales. All correlations between items and their hypothesised scales exceeded the suggested standard of 0.40 for satisfactory item-consistency. Across all scales, the Cronbach's alpha coefficient of reliability was found to be higher than the suggested value of 0.70. Consistent across all cancer groups, the physical health related scale scores correlated strongly with the Physical Component Summary (PCS scale scores and weakly with the Mental Component Summary (MCS scale scores. Also, the mental health and role limitation-emotional scales correlated strongly with the MCS scale score and weakly with the PCS scale score. Moderate to strong correlations with both summary scores were found for the general health perception, energy/vitality, and social functioning

  6. Development of an indoor air quality checklist for risk assessment of indoor air pollutants by semiquantitative score in nonindustrial workplaces

    Directory of Open Access Journals (Sweden)

    Syazwan AI

    2012-04-01

    Full Text Available AI Syazwan1, B Mohd Rafee1, Juahir Hafizan2, AZF Azman1, AM Nizar3, Z Izwyn4, AA Muhaimin5, MA Syafiq Yunos6, AR Anita1, J Muhamad Hanafiah1, MS Shaharuddin1, A Mohd Ibthisham7, Mohd Hasmadi Ismail8, MN Mohamad Azhar1, HS Azizan1, I Zulfadhli9, J Othman101Department of Community Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia; 2Department of Environmental Science, Faculty of Environmental Studies, Universiti Putra Malaysia, Selangor, Malaysia; 3Pharmacology Unit, Department of Human Anatomy, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia; 4Department of Therapy and Rehabilitation, Faculty of Health Science and Biomedical Engineering, Universiti Teknologi Malaysia, Johor, Malaysia; 5Department of Environmental Management, Faculty of Environmental Studies, Universiti Putra Malaysia, Selangor, Malaysia; 6Plant Assessment Technology (PAT, Industrial Technology Division (BTI, Malaysian Nuclear Agency (Nuklear Malaysia, Bangi, Kajang, Malaysia; 7Department of Mechanical Engineering, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, UTM Skudai, Johor, Malaysia; 8Department of Forest Production, Faculty of Forestry, Universiti Putra Malaysia, Selangor, Malaysia; 9Faculty of Built Environment and Architect, Universiti Teknologi Malaysia, Skudai, Johor, Malaysia; 10Department of Counsellor Education and Counselling Psychology (DCECP, Faculty of Educational Studies, Universiti Putra Malaysia, Selangor, MalaysiaBackground: To meet the current diversified health needs in workplaces, especially in nonindustrial workplaces in developing countries, an indoor air quality (IAQ component of a participatory occupational safety and health survey should be included.Objectives: The purpose of this study was to evaluate and suggest a multidisciplinary, integrated IAQ checklist for evaluating the health risk of building occupants. This IAQ checklist proposed to support

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

    Science.gov (United States)

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

    2014-01-01

    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. 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. 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. 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.

  8. A Framework for Conceptual Modeling of Geographic Data Quality

    DEFF Research Database (Denmark)

    Friis-Christensen, Anders; Christensen, J.V.; Jensen, Christian Søndergaard

    2004-01-01

    Sustained advances in wireless communications, geo-positioning, and consumer electronics pave the way to a kind of location-based service that relies on the tracking of the continuously changing positions of an entire population of service users. This type of service is characterized by large...... of geographic data and quality. The approach integrates quality information with the basic model constructs. This results in a model that enables object-oriented specification of quality requirements and of acceptable quality levels. More specifically, it extends the Unified Modeling Language with new modeling...... constructs based on standard classes, attributes, and associations that include quality information. A case study illustrates the utility of the quality-enabled model. reported....

  9. Measuring sun exposure habits and sun protection behaviour using a comprehensive scoring instrument--an illustration of a possible model based on Likert scale scorings and on estimation of readiness to increase sun protection.

    Science.gov (United States)

    Falk, M; Anderson, C D

    2012-08-01

    Few attempts to present a comprehensive scoring instrument for sun exposure and protection have been made. The present paper aims to describe a possible set of questions suitable for such an instrument, comprising the most important aspects of sun exposure and protection. The material from a previously performed intervention study, using a questionnaire based on Likert scales and on the Transtheoretical Model of Behaviour Change (TTM), was utilised. 213 primary healthcare patients filled in the questionnaire and were randomised into two groups receiving sun protection advice, in Group 1 in letter-form, and in Group 2 orally during a doctor's consultation. In the original study, increased sun protection/readiness to increase sun protection was demonstrated for several items in Group 2, at six months. To compose a comprehensive scoring instrument, five questions concerning sun exposure/protection (intentional tanning, sunscreen use, choice of SPF, number of occasions with sunburn, and time spent in the sun at midday), were selected to give a 20 point behavioural score. Similarly, four TTM-based questions (giving up sunbathing, using clothes for sun protection, using sunscreens, and staying in the shade) gave a 16 point "propensity-to-change"-score. At follow-up, increased sun protection reflected in the behavioural score occurred only in Group 2 (p point behavioural score, into three risk levels, revealed a significantly higher shift of subjects moving to a lower risk level in Group 2 compared to Group 1 (pLikert scale behavioural score with a TTM-based propensity-to-change-score seems promising for the creation of a questionnaire-based, comprehensive scoring instrument for sun exposure and protection. Copyright © 2012 Elsevier Ltd. All rights reserved.

  10. Assessment of the Quality Management Models in Higher Education

    Science.gov (United States)

    Basar, Gulsun; Altinay, Zehra; Dagli, Gokmen; Altinay, Fahriye

    2016-01-01

    This study involves the assessment of the quality management models in Higher Education by explaining the importance of quality in higher education and by examining the higher education quality assurance system practices in other countries. The qualitative study was carried out with the members of the Higher Education Planning, Evaluation,…

  11. On Regional Modeling to Support Air Quality Policies (book chapter)

    Science.gov (United States)

    We examine the use of the Community Multiscale Air Quality (CMAQ) model in simulating the changes in the extreme values of air quality that are of interest to the regulatory agencies. Year-to-year changes in ozone air quality are attributable to variations in the prevailing meteo...

  12. Comparison of intensive care outcome prediction models based on admission scores with those based on 24-hour data.

    Science.gov (United States)

    Duke, G J; Piercy, M; DiGiantomasso, D; Green, J V

    2008-11-01

    We compared the performance of six outcome prediction models--three based on 24-hour data and three based on admission-only data--in a metropolitan university-affiliated teaching hospital with a 10-bed intensive care unit. The Acute Physiology and Chronic Health Evaluation models, version II (APACHE II) and version III-J, and the Simplified Acute Physiology Score version II (SAPS II) are based on 24-hour data and were compared with the Mortality Prediction Model version II and the SAPS version III using international and Australian coefficients (SAPS IIIA). Data were collected prospectively according to the standard methodologies for each model. Calibration and discrimination for each model were assessed by the standardised mortality ratio, area under the receiver operating characteristic plot and Hosmer-Lemeshow contingency tables and chi-squared statistics (C10 and H10). Predetermined criteria were area under the receiver operating characteristic plot > 0.8, standardised mortality ratio 95% confidence interval includes 1.0, and C10 and H10 P values >0.05. Between October 1, 2005 and December 31, 2007, 1843 consecutive admissions were screened and after the standard exclusions, 1741 were included in the analysis. The SAPS II and SAPS IIIA models fulfilled and the APACHE II model failed all criteria. The other models satisfied the discrimination criterion but significantly over-predicted mortality risk and require recalibration. Outcome prediction models based on admission-only data compared favourably to those based on 24-hour data.

  13. Modeling and Evaluation of Multimodal Perceptual Quality

    DEFF Research Database (Denmark)

    Petersen, Kim T; Hansen, Steffen Duus; Sørensen, John Aasted

    1997-01-01

    The increasing performance requirements of multimedia modalities, carrying speech, audio, video, image, and graphics emphasize the need for assessment methods of the total quality of a multimedia system and methods for simultaneous analysis of the system components. It is important to take...... into account still more perceptual characteristics of the human auditory, visual, tactile systems, as well as combinations of these systems, it is also highly desirable to acquire methods for analysing the main perceptual parameters, which constitute the input for the total quality assessment. A framework...... is suggested for assessing the quality of modalities and their combinations...

  14. A model of continuous quality improvement for health service organisations.

    Science.gov (United States)

    Thornber, M

    1992-01-01

    Continuous Quality Improvement (or Total Quality Management) is an approach to management originally used in manufacturing and now being applied in the health services. This article describes a model of Continuous Quality Improvement which has been used in NSW public and private hospitals. The model consists of Ten Key Elements. The first driving force of this model is 'defining quality in terms of customer expectations' of quality. The second driving force emphasises that 'quality improvement is a leadership issue'. Leaders are required to: coordinate staff participation in work process analysis; train staff in the customer service orientation; lead effective meetings and negotiate with both internal and external service partners. Increased staff motivation, quality improvement and reduction in running costs are seen to be the benefits of CQI for health service organisations.

  15. The Surgical Site Infection Risk Score (SSIRS: A Model to Predict the Risk of Surgical Site Infections.

    Directory of Open Access Journals (Sweden)

    Carl van Walraven

    Full Text Available Surgical site infections (SSI are an important cause of peri-surgical morbidity with risks that vary extensively between patients and surgeries. Quantifying SSI risk would help identify candidates most likely to benefit from interventions to decrease the risk of SSI.We randomly divided all surgeries recorded in the National Surgical Quality Improvement Program from 2010 into a derivation and validation population. We used multivariate logistic regression to determine the independent association of patient and surgical covariates with the risk of any SSI (including superficial, deep, and organ space SSI within 30 days of surgery. To capture factors particular to specific surgeries, we developed a surgical risk score specific to all surgeries having a common first 3 numbers of their CPT code.Derivation (n = 181 894 and validation (n = 181 146 patients were similar for all demographics, past medical history, and surgical factors. Overall SSI risk was 3.9%. The SSI Risk Score (SSIRS found that risk increased with patient factors (smoking, increased body mass index, certain comorbidities (peripheral vascular disease, metastatic cancer, chronic steroid use, recent sepsis, and operative characteristics (surgical urgency; increased ASA class; longer operation duration; infected wounds; general anaesthesia; performance of more than one procedure; and CPT score. In the validation population, the SSIRS had good discrimination (c-statistic 0.800, 95% CI 0.795-0.805 and calibration.SSIRS can be calculated using patient and surgery information to estimate individual risk of SSI for a broad range of surgery types.

  16. Family Satisfaction With Nursing Home Care: The Role of Facility Characteristics and Resident Quality-of-Life Scores

    Science.gov (United States)

    Shippee, Tetyana P.; Henning-Smith, Carrie; Gaugler, Joseph E.; Held, Robert; Kane, Robert L.

    2018-01-01

    This article explores the factor structure of a new family satisfaction with nursing home care instrument and determines the relationship of resident quality of life (QOL) and facility characteristics with family satisfaction. Data sources include (1) family satisfaction interviews (n = 16,790 family members), (2) multidimensional survey of resident QOL (n = 13,433 residents), and (3) facility characteristics (n = 376 facilities). We used factor analysis to identify domains of family satisfaction and multivariate analyses to identify the role of facility-level characteristics and resident QOL on facility-mean values of family satisfaction. Four distinct domains were identified for family satisfaction: “care,” “staff,” “environment,” and “food.” Chain affiliation, higher resident acuity, more deficiencies, and large size were all associated with less family satisfaction, and resident QOL was a significant (albeit weak) predictor of family satisfaction. Results suggest that family member satisfaction is distinct from resident QOL but is associated with resident QOL and facility characteristics. PMID:26534835

  17. Among 4 Diet Quality Indexes, Only the Alternate Mediterranean Diet Score Is Associated with Better Colorectal Cancer Survival and Only in African American Women in the Multiethnic Cohort.

    Science.gov (United States)

    Jacobs, Simone; Harmon, Brook E; Ollberding, Nicholas J; Wilkens, Lynne R; Monroe, Kristine R; Kolonel, Laurence N; Le Marchand, Loic; Boushey, Carol J; Maskarinec, Gertraud

    2016-09-01

    Colorectal cancer (CRC) is the second leading cause of cancer-related death in the United States, with a 5-y survival rate of ∼65%. Therefore, the identification of modifiable health factors to improve CRC survival is crucial. We investigated the association of 4 prediagnostic a priori diet quality indexes with CRC-specific and all-cause mortality in the Multiethnic Cohort (MEC). The MEC included >215,000 African-American, Native Hawaiian, Japanese-American, Latino, and white adults living in Hawaii and California who completed a validated quantitative food-frequency questionnaire in 1993-1996. CRC cases and deaths were identified through linkages to cancer registries and to state and national vital registries. Sex-specific HRs and 95% CIs were estimated for the Healthy Eating Index (HEI) 2010, the Alternative HEI (AHEI) 2010, the alternate Mediterranean Diet (aMED) score, and the Dietary Approaches to Stop Hypertension (DASH) index with CRC-specific and overall mortality as the primary outcomes. Ethnicity-specific analyses were the secondary outcomes. Among 4204 MEC participants diagnosed with invasive CRC through 2010, 1976 all-cause and 1095 CRC-specific deaths were identified. A higher aMED score was associated with lower CRC-specific mortality in women [HR continuous pattern score divided by its respective SD (HR1SD): 0.86; 95% CI: 0.77, 0.96] but not in men (HR1SD: 1.01; 95% CI: 0.92, 1.11). A higher aMED score was also associated with lower all-cause mortality in women (HR1SD: 0.88; 95% CI: 0.81, 0.96) but not in men (HR1SD: 1.00; 95% CI: 0.93, 1.07). The HEI-2010, AHEI-2010, and DASH index were not significantly associated with CRC-specific or with all-cause mortality. The inverse relation for the aMED score was limited to African Americans and to colon (compared with rectal) cancer. The aMED score was related to lower mortality only in African-American women (1 of 5 ethnic groups studied). The results should be interpreted with caution due to the small

  18. Evaluation of models for assessing Medicago sativa L. hay quality

    African Journals Online (AJOL)

    UFS Campus

    ) model of Weiss et al. (1992), using lignin to determine truly digestible NDF, ... quality evaluation model for commercial application. .... The almost perfect relationship (r = 0.98; Table 1) between TDNlig of lucerne hay and MY, predicted.

  19. A competing risk approach for the European Heart SCORE model based on cause-specific and all-cause mortality

    DEFF Research Database (Denmark)

    Stovring, H.; Harmsen, C. G.; Wisloff, T.

    2013-01-01

    for older individuals. When non-CVD mortality was assumed unaffected by smoking status, the absolute risk reduction due to statin treatment ranged from 0.0% to 3.5%, whereas the gain in expected residual lifetime ranged from 3 to 11 months. Statin effectiveness increased for non-smokers and declined......, and the expected residual lifetime together with corresponding expected effects of statin treatment. Results: The modified model provided CVD-specific 10-year mortality risks similar to those of the European Heart SCORE model. Incorporation of non-CVD mortality increased 10-year mortality risks, in particular...... for smokers, when smoking was allowed to influence non-CVD mortality. Conclusion: The modified model provides mathematically consistent estimates of mortality risk and expected residual lifetime together with expected benefits from statin treatment....

  20. ADKAR MODEL VS. QUALITY MANAGEMENT CHANGE

    OpenAIRE

    Gratiela Dana Boca

    2013-01-01

    This research was conducted through different countries to identify dimensions and antecedents of buyer-seller relationships quality. In light of the findings dimensions of relationship quality have emerged: mutual trust, partners’ commitment in the relationship, cooperation and creativity and innovation. Also, the research identifies several key success factors in business relationships that are grouped into different categories: factors related to relational behaviours and factors related t...

  1. Islamic Banks Service Innovation Quality: Conceptual Model

    Directory of Open Access Journals (Sweden)

    Tahreem Noor Khan

    2016-07-01

    Full Text Available Customer perspectives and satisfaction level are considered important for analysing the performance of Islamic bank service quality. Sufficient researches has been done to explore customer perception and satisfaction level with Islamic banking service quality, however there is lack of data to compare and find the similarity in understanding the main determinant attributes needed for Islamic banking service quality. The purpose of this paper is to describe and integrate the results of existing wealth of research on service quality in Islamic banks. After weighing up all the views from existing research, common findings, concerns will be discussed. This research did not find much of information or studies indicating toward innovation in Islamic banking service quality. Thus based on review of the literature this paper suggests main key attributes of service for Islamic banks (RIBA Service IQ. This research strongly asserts that sincere motivation, truthful intention, dynamic and practical service innovation of quality approaches can uplift Islamic financial brandDOI: 10.15408/aiq.v8i2.3161

  2. Another Look at the PART-O Using the Traumatic Brain Injury Model Systems National Database: Scoring to Optimize Psychometrics.

    Science.gov (United States)

    Malec, James F; Whiteneck, Gale G; Bogner, Jennifer A

    2016-02-01

    To integrate previous approaches to scoring the Participation Assessment with Recombined Tools-Objective (PART-O) in a unidimensional scale. Retrospective analysis of PART-O data from the Traumatic Brain Injury Model Systems. Community. Data from individuals (N=469) selected randomly from participants who completed 1-year follow-up in the Traumatic Brain Injury Model Systems were used in Rasch model development. The model was subsequently tested on data from additional random samples of similar size at 1-, 2-, 5-, 10-, and >15-year follow-ups. Not applicable. PART-O. After combining items for productivity and social interaction, the initial analysis at 1-year follow-up indicated relatively good fit to the Rasch model (person reliability=.80) but also suggested item misfit and that the 0-to-5 scale used for most items did not consistently show clear separation between rating levels. Reducing item rating scales to 3 levels (except combined and dichotomous items) resolved these issues and demonstrated good item level discrimination, fit, and person reliability (.81), with no evidence of multidimensionality. These results replicated in analyses at each additional follow-up period. Modifications to item scoring for the PART-O resulted in a unidimensional parametric equivalent measure that addresses previous concerns about competing item relations, and it fit the Rasch model consistently across follow-up periods. The person-item map shows a progression toward greater community participation from solitary and dyadic activities, such as leaving the house and having a friend through social and productivity activities, to group activities with others who share interests or beliefs. Copyright © 2016 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

  3. Water Quality Model of Florida Bay

    National Research Council Canada - National Science Library

    Cerco, Carl

    2000-01-01

    .... Application consists of calibrating the model to the two-year period 1996-1997, testing model sensitivity for the two year period, and simulating the ten-year period 1988-1997 to evaluate model long-term performance...

  4. Parametric packet-based audiovisual quality model for IPTV services

    CERN Document Server

    Garcia, Marie-Neige

    2014-01-01

    This volume presents a parametric packet-based audiovisual quality model for Internet Protocol TeleVision (IPTV) services. The model is composed of three quality modules for the respective audio, video and audiovisual components. The audio and video quality modules take as input a parametric description of the audiovisual processing path, and deliver an estimate of the audio and video quality. These outputs are sent to the audiovisual quality module which provides an estimate of the audiovisual quality. Estimates of perceived quality are typically used both in the network planning phase and as part of the quality monitoring. The same audio quality model is used for both these phases, while two variants of the video quality model have been developed for addressing the two application scenarios. The addressed packetization scheme is MPEG2 Transport Stream over Real-time Transport Protocol over Internet Protocol. In the case of quality monitoring, that is the case for which the network is already set-up, the aud...

  5. Evaluation Model of Tea Industry Information Service Quality

    OpenAIRE

    Shi , Xiaohui; Chen , Tian’en

    2015-01-01

    International audience; According to characteristics of tea industry information service, this paper have built service quality evaluation index system for tea industry information service quality, R-cluster analysis and multiple regression have been comprehensively used to contribute evaluation model with a high practice and credibility. Proved by the experiment, the evaluation model of information service quality has a good precision, which has guidance significance to a certain extent to e...

  6. Tracking influence between naive Bayes models using score-based structure learning

    CSIR Research Space (South Africa)

    Ajoodha, R

    2017-11-01

    Full Text Available ] T. O. Binford, T. S. Levitt, and W. B. Mann, “Bayesian inference in model-based machine vision,” arXiv preprint arXiv:1304.2720, 2013. [7] R. Ajoodha, R. Klein, and B. Rosman, “Single-labelled music genre clas- sification using content-based features... these independent assertions into a DAG that encodes a joint probability distribution [3]. Bayesian networks span a range of applications including general diag- nostic systems [4]; event forecasting [5]; machine vision [6]; and even music classification [7...

  7. Diet Quality as Assessed by the Healthy Eating Index, Alternate Healthy Eating Index, Dietary Approaches to Stop Hypertension Score, and Health Outcomes: An Updated Systematic Review and Meta-Analysis of Cohort Studies.

    Science.gov (United States)

    Schwingshackl, Lukas; Bogensberger, Berit; Hoffmann, Georg

    2018-01-01

    Diets of the highest quality have been associated with a significantly lower risk of noncommunicable diseases. It was the aim of this study to update a previous systematic review investigating the associations of diet quality as assessed by the Healthy Eating Index (HEI), Alternate Healthy Eating Index (AHEI), and Dietary Approaches to Stop Hypertension (DASH) score and multiple health outcomes. As an additional topic, the associations of these diet quality indices with all-cause mortality and cancer mortality among cancer survivors were also investigated. A literature search for prospective cohort studies that were published up to May 15, 2017 was performed using the electronic databases PubMed, Scopus, and Embase. Summary risk ratios (RRs) and 95% CIs were estimated using a random effects model for high vs low adherence categories. The updated review process showed 34 new reports (total number of reports evaluated=68; including 1,670,179 participants). Diets of the highest quality, as assessed by the HEI, AHEI, and DASH score, resulted in a significant risk reduction for all-cause mortality (RR 0.78, 95% CI 0.77 to 0.80; I 2 =59%; n=13), cardiovascular disease (incidence or mortality) (RR 0.78, 95% CI 0.76 to 0.80; I 2 =49%; n=28), cancer (incidence or mortality) (RR 0.84, 95% CI 0.82 to 0.87; I 2 =66%; n=31), type 2 diabetes (RR 0.82, 95% CI 0.78 to 0.85; I 2 =72%; n=10), and neurodegenerative diseases (RR 0.85, 95% CI 0.74 to 0.98; I 2 =51%; n=5). Among cancer survivors, the association between diets for the highest quality resulted in a significant reduction in all-cause mortality (RR 0.88, 95% CI 0.81 to 0.95; I 2 =38%; n=7) and cancer mortality (RR 0.90, 95% CI 0.83 to 0.98; I 2 =0%; n=7). In the updated meta-analyses, diets that score highly on the HEI, AHEI, and DASH were associated with a significant reduction in the risk of all-cause mortality, cardiovascular disease, cancer, type 2 diabetes, and neurodegenerative disease by 22%, 22%, 16%, 18%, and 15

  8. Air Quality Modelling and the National Emission Database

    DEFF Research Database (Denmark)

    Jensen, S. S.

    The project focuses on development of institutional strengthening to be able to carry out national air emission inventories based on the CORINAIR methodology. The present report describes the link between emission inventories and air quality modelling to ensure that the new national air emission...... inventory is able to take into account the data requirements of air quality models...

  9. Quality assurance of weather data for agricultural system model input

    Science.gov (United States)

    It is well known that crop production and hydrologic variation on watersheds is weather related. Rarely, however, is meteorological data quality checks reported for agricultural systems model research. We present quality assurance procedures for agricultural system model weather data input. Problems...

  10. A stochastic dynamic programming model for stream water quality ...

    Indian Academy of Sciences (India)

    R. Narasimhan (Krishtel eMaging) 1461 1996 Oct 15 13:05:22

    1. Introduction. River water quality management problems are characterized by various uncertainties at differ- ... model to achieve the maximum economic benefits without violating water quality standards. This model ..... for aquatic life, for example, would be a useful application of the methodology presented in the paper.

  11. Water quality modelling and optimisation of wastewater treatment ...

    African Journals Online (AJOL)

    Instream water quality management encompasses field monitoring and utilisation of mathematical models. These models can be coupled with optimisation techniques to determine more efficient water quality management alternatives. Among these activities, wastewater treatment plays a crucial role. In this work, a ...

  12. A scoring model for predicting prognosis of patients with severe fever with thrombocytopenia syndrome.

    Directory of Open Access Journals (Sweden)

    Bei Jia

    2017-09-01

    Full Text Available Severe fever with thrombocytopenia syndrome (SFTS is an emerging epidemic infectious disease caused by the SFTS bunyavirus (SFTSV with an estimated high case-fatality rate of 12.7% to 32.6%. Currently, the disease has been reported in mainland China, Japan, Korea, and the United States. At present, there is no specific antiviral therapy for SFTSV infection. Considering the higher mortality rate and rapid clinical progress of SFTS, supporting the appropriate treatment in time to SFTS patients is critical. Therefore, it is very important for clinicians to predict these SFTS cases who are more likely to have a poor prognosis or even more likely to decease. In the present study, we established a simple and feasible model for assessing the severity and predicting the prognosis of SFTS patients with high sensitivity and specificity. This model may aid the physicians to immediately initiate prompt treatment to block the rapid development of the illness and reduce the fatality of SFTS patients.

  13. Imputation by the mean score should be avoided when validating a Patient Reported Outcomes questionnaire by a Rasch model in presence of informative missing data

    LENUS (Irish Health Repository)

    Hardouin, Jean-Benoit

    2011-07-14

    Abstract Background Nowadays, more and more clinical scales consisting in responses given by the patients to some items (Patient Reported Outcomes - PRO), are validated with models based on Item Response Theory, and more specifically, with a Rasch model. In the validation sample, presence of missing data is frequent. The aim of this paper is to compare sixteen methods for handling the missing data (mainly based on simple imputation) in the context of psychometric validation of PRO by a Rasch model. The main indexes used for validation by a Rasch model are compared. Methods A simulation study was performed allowing to consider several cases, notably the possibility for the missing values to be informative or not and the rate of missing data. Results Several imputations methods produce bias on psychometrical indexes (generally, the imputation methods artificially improve the psychometric qualities of the scale). In particular, this is the case with the method based on the Personal Mean Score (PMS) which is the most commonly used imputation method in practice. Conclusions Several imputation methods should be avoided, in particular PMS imputation. From a general point of view, it is important to use an imputation method that considers both the ability of the patient (measured for example by his\\/her score), and the difficulty of the item (measured for example by its rate of favourable responses). Another recommendation is to always consider the addition of a random process in the imputation method, because such a process allows reducing the bias. Last, the analysis realized without imputation of the missing data (available case analyses) is an interesting alternative to the simple imputation in this context.

  14. Associations between scores of psychosomatic health symptoms and health-related quality of life in children and adolescents.

    Science.gov (United States)

    Svedberg, Pia; Eriksson, Mårten; Boman, Eva

    2013-10-23

    The aims of the present study are to investigate whether there are differences in health-related quality of life (HRQoL) between girls and boys in two different age groups, to study how much of children's variance in HRQoL can be explained by common psychosomatic health symptoms, and to examine whether the same set of psychosomatic symptoms can explain differences in HRQoL, both between girls and boys and between older and younger school children. A cross-sectional study was conducted of 253 children, 99 of ages 11-12 years (n=51 girls, n=48 boys) and 154 of ages 15-16 years (n=82 girls, n=72 boys), in Swedish schools. The KIDSCREEN-52 instrument, which covers 10 dimensions of HRQoL and additional questions about psychosomatic health symptoms, were used. Analyses of variance were conducted to investigate differences between the genders and age groups, and in interaction effects on the KIDSCREEN-52 dimensions. Regression analyses were used to investigate the impacts of psychosomatic symptoms on gender and age group differences in HRQoL. Boys rated themselves higher than girls on the KIDSCREEN dimensions: physical and psychological well-being, moods and emotions, self-perception, and autonomy. Main effects of age group were found for physical well-being, psychological well-being, moods and emotions, self-perception, autonomy, and school environment, where younger children rated their HRQoL more highly than those aged 15-16 years. Girls rated their moods and emotions dramatically lower than boys in the older age group, but the ratings of emotional status were more similar between genders at younger ages. Psychosomatic symptoms explained between 27% and 50% of the variance in the children's HRQoL. Sleeping difficulties were a common problem for both girls and boys. Depression and concentration difficulties were particularly associated with HRQoL among girls whereas stomach aches were associated with HRQoL among boys. Girls and adolescents experience poorer HRQoL than

  15. New statistical potential for quality assessment of protein models and a survey of energy functions

    Directory of Open Access Journals (Sweden)

    Rykunov Dmitry

    2010-03-01

    Full Text Available Abstract Background Scoring functions, such as molecular mechanic forcefields and statistical potentials are fundamentally important tools in protein structure modeling and quality assessment. Results The performances of a number of publicly available scoring functions are compared with a statistical rigor, with an emphasis on knowledge-based potentials. We explored the effect on accuracy of alternative choices for representing interaction center types and other features of scoring functions, such as using information on solvent accessibility, on torsion angles, accounting for secondary structure preferences and side chain orientation. Partially based on the observations made, we present a novel residue based statistical potential, which employs a shuffled reference state definition and takes into account the mutual orientation of residue side chains. Atom- and residue-level statistical potentials and Linux executables to calculate the energy of a given protein proposed in this work can be downloaded from http://www.fiserlab.org/potentials. Conclusions Among the most influential terms we observed a critical role of a proper reference state definition and the benefits of including information about the microenvironment of interaction centers. Molecular mechanical potentials were also tested and found to be over-sensitive to small local imperfections in a structure, requiring unfeasible long energy relaxation before energy scores started to correlate with model quality.

  16. QUALITY IMPROVEMENT MODEL AT THE MANUFACTURING PROCESS PREPARATION LEVEL

    Directory of Open Access Journals (Sweden)

    Dusko Pavletic

    2009-12-01

    Full Text Available The paper expresses base for an operational quality improvement model at the manufacturing process preparation level. A numerous appropriate related quality assurance and improvement methods and tools are identified. Main manufacturing process principles are investigated in order to scrutinize one general model of manufacturing process and to define a manufacturing process preparation level. Development and introduction of the operational quality improvement model is based on a research conducted and results of methods and tools application possibilities in real manufacturing processes shipbuilding and automotive industry. Basic model structure is described and presented by appropriate general algorithm. Operational quality improvement model developed lays down main guidelines for practical and systematic application of quality improvements methods and tools.

  17. Development, implementation and quality assurance of biokinetic models within CONRAD

    International Nuclear Information System (INIS)

    Nosske, D.; Birchall, A.; Blanchardon, E.; Breustedt, B.; Giussani, A.; Luciani, A.; Oeh, U.; Lopez, M. A.

    2008-01-01

    The work of the Task Group 5.2 'Research Studies on Biokinetic Models' of the CONRAD project is presented. New biokinetic models have been implemented by several European institutions. Quality assurance procedures included intercomparison of the results as well as quality assurance of model formulation. Additionally, the use of the models was examined leading to proposals of tuning parameters. Stable isotope studies were evaluated with respect to their implications to the new models, and new biokinetic models were proposed on the basis of their results. Furthermore, the development of a biokinetic model describing the effects of decorporation of actinides by diethylenetriaminepentaacetic acid treatment was initiated. (authors)

  18. Alternative Matching Scores to Control Type I Error of the Mantel-Haenszel Procedure for DIF in Dichotomously Scored Items Conforming to 3PL IRT and Nonparametric 4PBCB Models

    Science.gov (United States)

    Monahan, Patrick O.; Ankenmann, Robert D.

    2010-01-01

    When the matching score is either less than perfectly reliable or not a sufficient statistic for determining latent proficiency in data conforming to item response theory (IRT) models, Type I error (TIE) inflation may occur for the Mantel-Haenszel (MH) procedure or any differential item functioning (DIF) procedure that matches on summed-item…

  19. Parent reports of health-related quality of life and heart failure severity score independently predict outcome in children with dilated cardiomyopathy.

    Science.gov (United States)

    den Boer, Susanna L; Baart, Sara J; van der Meulen, Marijke H; van Iperen, Gabriëlle G; Backx, Ad P; Ten Harkel, Arend D; Rammeloo, Lukas A; du Marchie Sarvaas, Gideon J; Tanke, Ronald B; Helbing, Willem A; Utens, Elisabeth M; Dalinghaus, Michiel

    2017-08-01

    Dilated cardiomyopathy in children causes heart failure and has a poor prognosis. Health-related quality of life in this patient group is unknown. Moreover, results may provide detailed information of parents' sense of their child's functioning. We hypothesised that health-related quality of life, as rated by parents, and the paediatric heart failure score, as assessed by physicians, have both predictive value on outcome. Methods and results In this prospective study, health-related quality of life was assessed by parent reports: the Infant Toddler Quality of Life questionnaire (0-4 years) or Child Health Questionnaire-Parent Form 50 (4-18 years) at 3-6-month intervals. We included 90 children (median age 3.8 years, interquartile range (IQR) 0.9-12.3) whose parents completed 515 questionnaires. At the same visit, physicians completed the New York University Pediatric Heart Failure Index. Compared with Dutch normative data, quality of life was severely impaired at diagnosis (0-4 years: 7/10 subscales and 4-18 years: 8/11 subscales) and ⩾1 year after diagnosis (3/10 and 6/11 subscales). Older children were more impaired (pFailure Index were independently predictive of the risk of death and heart transplantation (hazard ratio 1.24 per 10% decrease of predicted, 95% confidence interval (CI) 1.06-1.47 and hazard ratio 1.38 per unit, 95% CI 1.19-1.61, respectively). Physical impairment rated by parents and heart failure severity assessed by physicians independently predicted the risk of death or heart transplantation in children with dilated cardiomyopathy.

  20. Predictive modelling of survival and length of stay in critically ill patients using sequential organ failure scores.

    Science.gov (United States)

    Houthooft, Rein; Ruyssinck, Joeri; van der Herten, Joachim; Stijven, Sean; Couckuyt, Ivo; Gadeyne, Bram; Ongenae, Femke; Colpaert, Kirsten; Decruyenaere, Johan; Dhaene, Tom; De Turck, Filip

    2015-03-01

    The length of stay of critically ill patients in the intensive care unit (ICU) is an indication of patient ICU resource usage and varies considerably. Planning of postoperative ICU admissions is important as ICUs often have no nonoccupied beds available. Estimation of the ICU bed availability for the next coming days is entirely based on clinical judgement by intensivists and therefore too inaccurate. For this reason, predictive models have much potential for improving planning for ICU patient admission. Our goal is to develop and optimize models for patient survival and ICU length of stay (LOS) based on monitored ICU patient data. Furthermore, these models are compared on their use of sequential organ failure (SOFA) scores as well as underlying raw data as input features. Different machine learning techniques are trained, using a 14,480 patient dataset, both on SOFA scores as well as their underlying raw data values from the first five days after admission, in order to predict (i) the patient LOS, and (ii) the patient mortality. Furthermore, to help physicians in assessing the prediction credibility, a probabilistic model is tailored to the output of our best-performing model, assigning a belief to each patient status prediction. A two-by-two grid is built, using the classification outputs of the mortality and prolonged stay predictors to improve the patient LOS regression models. For predicting patient mortality and a prolonged stay, the best performing model is a support vector machine (SVM) with GA,D=65.9% (area under the curve (AUC) of 0.77) and GS,L=73.2% (AUC of 0.82). In terms of LOS regression, the best performing model is support vector regression, achieving a mean absolute error of 1.79 days and a median absolute error of 1.22 days for those patients surviving a nonprolonged stay. Using a classification grid based on the predicted patient mortality and prolonged stay, allows more accurate modeling of the patient LOS. The detailed models allow to support

  1. Development of a microcomputed tomography scoring system to characterize disease progression in the Hartley guinea pig model of spontaneous osteoarthritis.

    Science.gov (United States)

    Radakovich, Lauren B; Marolf, Angela J; Shannon, John P; Pannone, Stephen C; Sherk, Vanessa D; Santangelo, Kelly S

    2017-12-11

    There is potential discrepancy between human and laboratory animal studies of osteoarthritis (OA), as radiographic assessment is the hallmark of the former and histopathology the standard for the latter. This suggests a need to evaluate OA in animal models in a manner similar to that utilized in people. Our study aimed to develop a whole joint grading scheme for microcomputed tomography (microCT) images in Hartley guinea pigs, a strain that recapitulates joint changes highlighted in human spontaneous OA. Knees from animals aged 2, 3, 5, 9, and 15 months were evaluated via whole joint microCT and standard histologic scoring. Quantitative microCT parameters, such as bone volume/total volume were also collected. Both whole joint microCT and histologic scores increased with advancing age and showed strong correlation (r = 0.89. p system in guinea pig studies of OA, as it provides important information regarding bony changes that occur at a different rate than articular cartilage changes. This grading scheme, in conjunction with histology and quantitative microCT measurements, may enhance the translational value of this animal model as it pertains to human work.

  2. Psychosocial and Quality of Life in Women Receiving the 21-Gene Recurrence Score Assay: The Impact of Decision Style in Women with Intermediate RS

    Directory of Open Access Journals (Sweden)

    Nadiyah Sulayman

    2012-01-01

    Full Text Available Multigene assays such as the 21-gene recurrence score (RS quantify risk for recurrence and potential benefit from chemotherapy in early-stage, ER+ breast cancers. Few studies have assessed the impact of testing on patient-reported outcomes such as cancer-related distress or quality of life. The few studies that have assessed these outcomes do not consider potential modifiers, such as the patients’ level of involvement in the treatment decision-making process. In the current study, 81 breast cancer patients who received the RS assay completed cross-sectional surveys. We used linear multiple regression to assess whether test result, decision-making role (passive versus shared/active, and their interaction contributed to current levels of distress, quality of life, and decisional conflict. There were no associations between these variables and test result or decision-making role. However, women who received an intermediate RS and took a passive role in their care reported higher-cancer-related distress and cancer worry and lower quality of life than those who took a shared or active role. These data should be confirmed in prospective samples, as these poorer outcomes could be amenable to intervention.

  3. Global modelling of river water quality under climate change

    Science.gov (United States)

    van Vliet, Michelle T. H.; Franssen, Wietse H. P.; Yearsley, John R.

    2017-04-01

    Climate change will pose challenges on the quality of freshwater resources for human use and ecosystems for instance by changing the dilution capacity and by affecting the rate of chemical processes in rivers. Here we assess the impacts of climate change and induced streamflow changes on a selection of water quality parameters for river basins globally. We used the Variable Infiltration Capacity (VIC) model and a newly developed global water quality module for salinity, temperature, dissolved oxygen and biochemical oxygen demand. The modelling framework was validated using observed records of streamflow, water temperature, chloride, electrical conductivity, dissolved oxygen and biochemical oxygen demand for 1981-2010. VIC and the water quality module were then forced with an ensemble of bias-corrected General Circulation Model (GCM) output for the representative concentration pathways RCP2.6 and RCP8.5 to study water quality trends and identify critical regions (hotspots) of water quality deterioration for the 21st century.

  4. Quality assessment of protein model-structures based on structural and functional similarities.

    Science.gov (United States)

    Konopka, Bogumil M; Nebel, Jean-Christophe; Kotulska, Malgorzata

    2012-09-21

    Experimental determination of protein 3D structures is expensive, time consuming and sometimes impossible. A gap between number of protein structures deposited in the World Wide Protein Data Bank and the number of sequenced proteins constantly broadens. Computational modeling is deemed to be one of the ways to deal with the problem. Although protein 3D structure prediction is a difficult task, many tools are available. These tools can model it from a sequence or partial structural information, e.g. contact maps. Consequently, biologists have the ability to generate automatically a putative 3D structure model of any protein. However, the main issue becomes evaluation of the model quality, which is one of the most important challenges of structural biology. GOBA--Gene Ontology-Based Assessment is a novel Protein Model Quality Assessment Program. It estimates the compatibility between a model-structure and its expected function. GOBA is based on the assumption that a high quality model is expected to be structurally similar to proteins functionally similar to the prediction target. Whereas DALI is used to measure structure similarity, protein functional similarity is quantified using standardized and hierarchical description of proteins provided by Gene Ontology combined with Wang's algorithm for calculating semantic similarity. Two approaches are proposed to express the quality of protein model-structures. One is a single model quality assessment method, the other is its modification, which provides a relative measure of model quality. Exhaustive evaluation is performed on data sets of model-structures submitted to the CASP8 and CASP9 contests. The validation shows that the method is able to discriminate between good and bad model-structures. The best of tested GOBA scores achieved 0.74 and 0.8 as a mean Pearson correlation to the observed quality of models in our CASP8 and CASP9-based validation sets. GOBA also obtained the best result for two targets of CASP8, and

  5. A review of hydrological/water-quality models

    Directory of Open Access Journals (Sweden)

    Liangliang GAO,Daoliang LI

    2014-12-01

    Full Text Available Water quality models are important in predicting the changes in surface water quality for environmental management. A range of water quality models are wildly used, but every model has its advantages and limitations for specific situations. The aim of this review is to provide a guide to researcher for selecting a suitable water quality model. Eight well known water quality models were selected for this review: SWAT, WASP, QUALs, MIKE 11, HSPF, CE-QUAL-W2, ELCOM-CAEDYM and EFDC. Each model is described according to its intended use, development, simulation elements, basic principles and applicability (e.g., for rivers, lakes, and reservoirs and estuaries. Currently, the most important trends for future model development are: (1 combination models─individual models cannot completely solve the complex situations so combined models are needed to obtain the most appropriate results, (2 application of artificial intelligence and mechanistic models combined with non-mechanistic models will provide more accurate results because of the realistic parameters derived from non-mechanistic models, and (3 integration with remote sensing, geographical information and global position systems (3S ─3S can solve problems requiring large amounts of data.

  6. Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models

    Directory of Open Access Journals (Sweden)

    Surovcik Katharina

    2006-03-01

    Full Text Available Abstract Background Horizontal gene transfer (HGT is considered a strong evolutionary force shaping the content of microbial genomes in a substantial manner. It is the difference in speed enabling the rapid adaptation to changing environmental demands that distinguishes HGT from gene genesis, duplications or mutations. For a precise characterization, algorithms are needed that identify transfer events with high reliability. Frequently, the transferred pieces of DNA have a considerable length, comprise several genes and are called genomic islands (GIs or more specifically pathogenicity or symbiotic islands. Results We have implemented the program SIGI-HMM that predicts GIs and the putative donor of each individual alien gene. It is based on the analysis of codon usage (CU of each individual gene of a genome under study. CU of each gene is compared against a carefully selected set of CU tables representing microbial donors or highly expressed genes. Multiple tests are used to identify putatively alien genes, to predict putative donors and to mask putatively highly expressed genes. Thus, we determine the states and emission probabilities of an inhomogeneous hidden Markov model working on gene level. For the transition probabilities, we draw upon classical test theory with the intention of integrating a sensitivity controller in a consistent manner. SIGI-HMM was written in JAVA and is publicly available. It accepts as input any file created according to the EMBL-format. It generates output in the common GFF format readable for genome browsers. Benchmark tests showed that the output of SIGI-HMM is in agreement with known findings. Its predictions were both consistent with annotated GIs and with predictions generated by different methods. Conclusion SIGI-HMM is a sensitive tool for the identification of GIs in microbial genomes. It allows to interactively analyze genomes in detail and to generate or to test hypotheses about the origin of acquired

  7. Image-based modeling and scoring of Howell-Jolly Bodies in human erythrocytes.

    Science.gov (United States)

    Angay, Oguzhan; Friedrich, Mike; Pinnecker, Jürgen; Hintzsche, Henning; Stopper, Helga; Hempel, Klaus; Heinze, Katrin G

    2017-05-24

    The spleen selectively removes cells with intracellular inclusions, for example, detached nuclear fragments in circulating erythrocytes, called Howell-Jolly Bodies (HJBs). With absent or deficient splenic function HJBs appear in the peripheral blood and can be used as a simple and non-invasive risk-indicator for fulminant potentially life-threatening infection after spleenectomy. However, it is still under debate whether counting of the rare HJBs is a reliable measure of splenic function. Investigating HJBs in premature erythrocytes from patients during radioiodine therapy gives about 10 thousand times higher HJB counts than in blood smears. However, we show that there is still the risk of false-positive results by unspecific nuclear remnants in the prepared samples that do not originate from HJBs, but from cell debris residing above or below the cell. Therefore, we present a method to improve accuracy of image-based tests that can be performed even in non-specialized medical institutions. We show how to selectively label HJB-like clusters in human blood samples and how to only count those that are undoubtedly inside the cell. We found a "critical distance" d crit referring to a relative HJB-Cell distance that true HJBs do not exceed. To rule out false-positive counts we present a simple inside-outside-rule based on d crit -a robust threshold that can be easily assessed by combining conventional 2D imaging and straight-forward image analysis. Besides data based on fluorescence imaging, simulations of randomly distributed HJB-like objects on realistically modelled cell objects demonstrate the risk and impact of biased counting in conventional analysis. © 2017 International Society for Advancement of Cytometry. © 2017 International Society for Advancement of Cytometry.

  8. Data assimilation for air quality models

    DEFF Research Database (Denmark)

    Silver, Jeremy David

    2014-01-01

    -dimensional optimal interpolation procedure (OI), an Ensemble Kalman Filter (EnKF), and a three-dimensional variational scheme (3D-var). The three assimilation procedures are described and tested. A multi-faceted approach is taken for the verification, using independent measurements from surface air-quality...

  9. Exploring model quality for ACAS X

    NARCIS (Netherlands)

    Giannakopoulou, Dimitra; Guck, Dennis; Schumann, Johann

    2016-01-01

    The next generation airborne collision avoidance system, ACAS X, aims to provide robustness through a probabilistic model that represents sources of uncertainty. From this model, dynamic programming produces a look-up table that is used to give advisories to the pilot in real time. The model is not

  10. Quality Model of Foodstuff in a Refrigerated Display Cabinet

    DEFF Research Database (Denmark)

    Cai, Junping; Risum, Jørgen; Thybo, Claus

    2006-01-01

    happens to the food inside during this period, when we look at the quality factor? This paper discusses quality model of foodstuff, different scenarios of defrost scheme are simulated, questions such as how the defrost temperature and duration influence the food temperature, thus the food quality, as well...... as what is the optimal defrost scheme from food quality point of view are answered. This will serve as a prerequisite of designing of optimal control scheme for the commercial refrigeration system, aiming at optimizing a weighed cost function of both food quality and overall energy consumption of system....

  11. Combining catchment and instream modelling to assess physical habitat quality

    DEFF Research Database (Denmark)

    Olsen, Martin

    the physical habitat quality of stream Ledreborg using af habitat hydraulic model • to assess the present and potential physical habitat quality of stream Ledreborg • to evaluate the suitability and applicability of habitat hydraulic models to Danish stream management Results • Precipitation and evaporation...... the best potential physical habitat quality for trout fry and juvenile trout and the lowest potential physical habitat quality for adult trout. This finding supports previous evaluations of the stream as a trout habitat, concluding that stream Ledreborg has very few suitable habitats for adult trout...... in the modelling. • Although more time consuming than present Danish methods for assessment of physical habitat quality in streams, the habitat hydraulic models can be used to evaluate physical habitat conditions at reach level and work as a basis for a more objective assessment method....

  12. Proposal for evaluating the quality of reports of surgical interventions in the treatment of trigeminal neuralgia: the Surgical Trigeminal Neuralgia Score.

    Science.gov (United States)

    Akram, Harith; Mirza, Bilal; Kitchen, Neil; Zakrzewska, Joanna M

    2013-09-01

    The aim of this study was to design a checklist with a scoring system for reporting on studies of surgical interventions for trigeminal neuralgia (TN) and to validate it by a review of the recent literature. A checklist with a scoring system, the Surgical Trigeminal Neuralgia Score (STNS), was devised partially based on the validated STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) criteria and customized for TN after a literature review and then applied to a series of articles. These articles were identified using a prespecified MEDLINE and Embase search covering the period from 2008 to 2010. Of the 584 articles found, 59 were studies of interventional procedures for TN that fulfilled the inclusion criteria and 56 could be obtained in full. The STNS was then applied independently by 3 of the authors. The maximum STNS came to 30, and was reliable and reproducible when used by the 3 authors who performed the scoring. The range of scores was 6-23.5, with a mean of 14 for all the journals. The impact factor scores of the journals in which the papers were published ranged from 0 to 4.8. Twenty-four of the studies were published in the Journal of Neurosurgery or in Neurosurgery. Studies published in neurosurgical journals ranked higher on the STNS scale than those published in nonneurosurgical journals. There was no statistically significant correlation between STNS and impact factors. Stereotactic radiosurgery (n = 25) and microvascular decompression (n = 15) were the most commonly reported procedures. The diagnostic criteria were stated in 35% of the studies, and 4 studies reported subtypes of TN. An increasing number of studies (46%) used the recommended Kaplan-Meier methodology for pain survival outcomes. The follow-up period was unclear in 8 studies, and 26 reported follow-ups of more than 5 years. Complications were reported fairly consistently but the temporal course was not always indicated. Direct interview, telephone conversation

  13. Score Correlation

    Czech Academy of Sciences Publication Activity Database

    Fabián, Zdeněk

    2010-01-01

    Roč. 20, č. 6 (2010), s. 793-798 ISSN 1210-0552 R&D Projects: GA ČR GA205/09/1079 Institutional research plan: CEZ:AV0Z10300504 Keywords : score function * correlation * rank correlation coefficient * heavy tails Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 0.511, year: 2010

  14. A software quality model and metrics for risk assessment

    Science.gov (United States)

    Hyatt, L.; Rosenberg, L.

    1996-01-01

    A software quality model and its associated attributes are defined and used as the model for the basis for a discussion on risk. Specific quality goals and attributes are selected based on their importance to a software development project and their ability to be quantified. Risks that can be determined by the model's metrics are identified. A core set of metrics relating to the software development process and its products is defined. Measurements for each metric and their usability and applicability are discussed.

  15. Clinical Risk Scoring Models for Prediction of Acute Kidney Injury after Living Donor Liver Transplantation: A Retrospective Observational Study.

    Directory of Open Access Journals (Sweden)

    Mi Hye Park

    Full Text Available Acute kidney injury (AKI is a frequent complication of liver transplantation and is associated with increased mortality. We identified the incidence and modifiable risk factors for AKI after living-donor liver transplantation (LDLT and constructed risk scoring models for AKI prediction. We retrospectively reviewed 538 cases of LDLT. Multivariate logistic regression analysis was used to evaluate risk factors for the prediction of AKI as defined by the RIFLE criteria (RIFLE = risk, injury, failure, loss, end stage. Three risk scoring models were developed in the retrospective cohort by including all variables that were significant in univariate analysis, or variables that were significant in multivariate analysis by backward or forward stepwise variable selection. The risk models were validated by way of cross-validation. The incidence of AKI was 27.3% (147/538 and 6.3% (34/538 required postoperative renal replacement therapy. Independent risk factors for AKI by multivariate analysis of forward stepwise variable selection included: body-mass index >27.5 kg/m2 [odds ratio (OR 2.46, 95% confidence interval (CI 1.32-4.55], serum albumin 20 (OR 2.01, 95%CI 1.17-3.44, operation time >600 min (OR 1.81, 95%CI 1.07-3.06, warm ischemic time >40 min (OR 2.61, 95%CI 1.55-4.38, postreperfusion syndrome (OR 2.96, 95%CI 1.55-4.38, mean blood glucose during the day of surgery >150 mg/dl (OR 1.66, 95%CI 1.01-2.70, cryoprecipitate > 6 units (OR 4.96, 95%CI 2.84-8.64, blood loss/body weight >60 ml/kg (OR 4.05, 95%CI 2.28-7.21, and calcineurin inhibitor use without combined mycophenolate mofetil (OR 1.87, 95%CI 1.14-3.06. Our risk models performed better than did a previously reported score by Utsumi et al. in our study cohort. Doses of calcineurin inhibitor should be reduced by combined use of mycophenolate mofetil to decrease postoperative AKI. Prospective randomized trials are required to address whether artificial modification of hypoalbuminemia, hyperglycemia

  16. Reporting health-related quality of life scores to physicians during routine follow-up visits of pediatric oncology patients: is it effective?

    Science.gov (United States)

    Engelen, Vivian; Detmar, Symone; Koopman, Hendrik; Maurice-Stam, Heleen; Caron, Huib; Hoogerbrugge, Peter; Egeler, R Maarten; Kaspers, Gertjan; Grootenhuis, Martha

    2012-05-01

    The aim of the current study is to investigate the effectiveness of an intervention that provides health-related quality of life (HRQOL) scores of the patient (the QLIC-ON PROfile) to the pediatric oncologist. Children with cancer participated in a sequential cohort intervention study: intervention N = 94, control N = 99. Primary outcomes of effectiveness were communication about HRQOL domains (t-test, Mann-Whitney U-test) and identification of HRQOL problems (chi-squared test). Secondary outcomes were satisfaction (multilevel analysis), referrals (chi-squared test), and HRQOL (multilevel analysis). The QLIC-ON PROfile increased discussion of emotional functioning (control M = 32.9 vs. intervention M = 47.4, P satisfaction and referrals, but did improve HRQOL of patients 5-7 years of age with respect to self-esteem (P children with cancer, without lengthening the duration of the consultation. It is recommended to be implemented in clinical practice. Copyright © 2011 Wiley Periodicals, Inc.

  17. South African Scoring System

    African Journals Online (AJOL)

    2014-11-18

    Nov 18, 2014 ... suitability of the rapid macroinvertebrate biomonitoring tool (the South African Scoring System) was investigated by determining the ... for 80% (SASS score) and 75% (NOT) of the variation in the regression model. Consequently ... et al., 2012), while settled sediments can alter habitat (Wood and Armitage ...

  18. A Model of Housing Quality Determinants (HQD for Affordable Housing

    Directory of Open Access Journals (Sweden)

    Afaq Hyder Chohan

    2015-01-01

    Full Text Available This research identifies the design quality determinants and parameters for affordable housing in a developing metropolis, Karachi, Pakistan. The absence of quality housing in Karachi has resulted in a variety of factors including policy failure, violation of bylaws, housing scarcity and more low quality housing. The combination of these factors has resulted in poor housing design and construction and has lowered the overall quality of housing. Homeowners (end-users experience unplanned maintenance and repairs. This study provides a design quality model for use as a survey tool among professionals and endusers. This study resulted in a table of 24 quality determinants marked as Housing Quality Determinants (HQD grouped into eight sections. This research concludes that the existing design quality of affordable housing in Karachi could be enhanced by resolving problems related to design, construction, services, site development, neighbourhood and sustainability. The HQD model provides a platform for developing quality indicators of housing design and an opportunity for local and international design and construction professionals to rethink design in the context of housing quality. This article provides the development of the HQD framework (model.

  19. Evaluation of model quality predictions in CASP9

    KAUST Repository

    Kryshtafovych, Andriy

    2011-01-01

    CASP has been assessing the state of the art in the a priori estimation of accuracy of protein structure prediction since 2006. The inclusion of model quality assessment category in CASP contributed to a rapid development of methods in this area. In the last experiment, 46 quality assessment groups tested their approaches to estimate the accuracy of protein models as a whole and/or on a per-residue basis. We assessed the performance of these methods predominantly on the basis of the correlation between the predicted and observed quality of the models on both global and local scales. The ability of the methods to identify the models closest to the best one, to differentiate between good and bad models, and to identify well modeled regions was also analyzed. Our evaluations demonstrate that even though global quality assessment methods seem to approach perfection point (weighted average per-target Pearson\\'s correlation coefficients are as high as 0.97 for the best groups), there is still room for improvement. First, all top-performing methods use consensus approaches to generate quality estimates, and this strategy has its own limitations. Second, the methods that are based on the analysis of individual models lag far behind clustering techniques and need a boost in performance. The methods for estimating per-residue accuracy of models are less accurate than global quality assessment methods, with an average weighted per-model correlation coefficient in the range of 0.63-0.72 for the best 10 groups.

  20. Airline service quality evaluation: A review on concepts and models

    Directory of Open Access Journals (Sweden)

    Navid Haghighat

    2017-12-01

    Full Text Available This paper reviews different major service quality concept and models which led to great developments in evaluating service quality with focusing on improvement process of the models through discussing criticisms of each model. Criticisms against these models are discussed to clarify development steps of newer models which led to the improvement of airline service quality models. The precise and accurate evaluation of service quality needs utilizing a reliable concept with comprehensive criteria and effective measurement techniques as the fundamentals of a valuable framework. In this paper, service quality models improvement is described based on three major service quality concepts, the disconfirmation, performance and hierarchical concepts which are developed subsequently. Reviewing various criteria and different measurement techniques such a statistical analysis and multi-criteria decision making assist researchers to have a clear understanding of the development of the evaluation framework in the airline industry. This study aims at promoting reliable frameworks for evaluating airline service quality in different countries and societies due to economic, cultural and social aspects of each society.

  1. Elastogram quality assessment score in vibration-controlled transient elastography: Diagnostic performance compared to digital morphometric analysis of liver biopsy in chronic hepatitis C.

    Science.gov (United States)

    Mendes, L C; Ferreira, P A; Miotto, N; Zanaga, L; Gonçales, E S L; Pedro, M N; Lazarini, M S; Júnior, F L G; Stucchi, R S B; Vigani, A G

    2018-04-01

    Vibration-controlled transient elastography (VCTE) is widely used for noninvasive fibrosis staging in chronic hepatitis C. However, internal validation is based solely on variability and success rate and lacks reproducible quality indicators. We analysed the graphic representation of shear wave propagation in comparison with morphometric results of liver biopsy, eliminating observer variability bias. Individual elastograms were classified according to two morphologic criteria: extension of wave propagation (length of the graphic representation) and shear wave dispersal (level of parallelism displayed in the elastogram). Then, a score based on these criteria stratified the elastogram in classes I through III (highest to lowest technical quality). Liver stiffness results of each measurement were compared with collagen contents in liver biopsy by morphometric analysis. A total of 3243 elastograms were studied (316 patients). Digital morphometry in liver biopsy showed significant fibrosis in 66% of samples and advanced fibrosis in 31%. Elastogram quality analysis resulted in 1438 class I measurements (44%), 1070 class II (34%) and 735 class III. Area under the receiver operating curve (AUROC) for severe fibrosis according to class (I, II and III) was 0.941, 0.887 and 0.766, respectively. For advanced fibrosis, AUROCs were 0.977, 0.883 and 0.781, respectively. Spearman's correlation testing for all classes and levels of fibrosis demonstrated significant independent association (r 2  = -.95, P digital morphometric imaging analysis. We concluded that VCTE performance is significantly influenced by quality assessment of individual measurements. Considering these criteria in clinical practice may improve accuracy. © 2017 John Wiley & Sons Ltd.

  2. Quality assessment in higher education using the SERVQUALQ model

    Directory of Open Access Journals (Sweden)

    Sabina Đonlagić

    2015-01-01

    Full Text Available Economy in Bosnia and Herzegovina is striving towards growth and increased employment and it has been proven by empirical studies worldwide that higher education contributes to socio-economic development of a country. Universities are important for generation, preservation and dissemination of knowledge in order to contribute to socio-economic benefits of a country. Higher education institutions are being pressured to improve value for their activities and providing quality higher education service to students should be taken seriously. In this paper we will address the emerging demand for quality in higher education. Higher education institutions should assess quality of their services and establish methods for improving quality. Activities of quality assurance should be integrated into the management process at higher education institutions. This paper is addressing the issue of service quality measurement in higher education institutions. The most frequently used model in this context is the SERVQUAL model. This model is measuring quality from the students' point of view, since students are considered to be one of the most important stakeholders for a higher education institution. The main objective of this research is to provide empirical evidence that the adapted SERVQAL model can be used in higher education and to identify the service quality gap based on its application at one institution of higher education (Faculty of Economics in Bosnia and Herzegovina. Furthermore, results of the gap analysis using the SERVQUAL methodology provide relevant information in which areas improvement is necessary in order to enhance service quality.

  3. A Model to Improve the Quality Products

    Directory of Open Access Journals (Sweden)

    Hasan GOKKAYA

    2010-08-01

    Full Text Available The topic of this paper is to present a solution who can improve product qualityfollowing the idea: “Unlike people who have verbal skills, machines use "sign language"to communicate what hurts or what has invaded their system’. Recognizing the "signs"or symptoms that the machine conveys is a required skill for those who work withmachines and are responsible for their care and feeding. The acoustic behavior of technical products is predominantly defined in the design stage, although the acoustic characteristics of machine structures can be analyze and give a solution for the actual products and create a new generation of products. The paper describes the steps intechnological process for a product and the solution who will reduce the costs with the non-quality of product and improve the management quality.

  4. A model introducing SOAs quality attributes decomposition

    OpenAIRE

    Belkhatir, Riad; Oussalah, Mourad Chabane; Viguier, Arnaud

    2012-01-01

    International audience; Recently, service oriented architecture (SOA) has been popularized with the emergence of standards like Web services. Nevertheless, the shift to this architectural paradigm could potentially involve significant risks including projects abandonments. With this in mind, the question of evaluating SOA quality arose. The appearance of methods like ATAM or SAAM propelled software architecture evaluation to a standard stage for any paradigm. However, there still are a number...

  5. The null distribution of the heterogeneity lod score does depend on the assumed genetic model for the trait.

    Science.gov (United States)

    Huang, J; Vieland, V J

    2001-01-01

    It is well known that the asymptotic null distribution of the homogeneity lod score (LOD) does not depend on the genetic model specified in the analysis. When appropriately rescaled, the LOD is asymptotically distributed as 0.5 chi(2)(0) + 0.5 chi(2)(1), regardless of the assumed trait model. However, because locus heterogeneity is a common phenomenon, the heterogeneity lod score (HLOD), rather than the LOD itself, is often used in gene mapping studies. We show here that, in contrast with the LOD, the asymptotic null distribution of the HLOD does depend upon the genetic model assumed in the analysis. In affected sib pair (ASP) data, this distribution can be worked out explicitly as (0.5 - c)chi(2)(0) + 0.5chi(2)(1) + cchi(2)(2), where c depends on the assumed trait model. E.g., for a simple dominant model (HLOD/D), c is a function of the disease allele frequency p: for p = 0.01, c = 0.0006; while for p = 0.1, c = 0.059. For a simple recessive model (HLOD/R), c = 0.098 independently of p. This latter (recessive) distribution turns out to be the same as the asymptotic distribution of the MLS statistic under the possible triangle constraint, which is asymptotically equivalent to the HLOD/R. The null distribution of the HLOD/D is close to that of the LOD, because the weight c on the chi(2)(2) component is small. These results mean that the cutoff value for a test of size alpha will tend to be smaller for the HLOD/D than the HLOD/R. For example, the alpha = 0.0001 cutoff (on the lod scale) for the HLOD/D with p = 0.05 is 3.01, while for the LOD it is 3.00, and for the HLOD/R it is 3.27. For general pedigrees, explicit analytical expression of the null HLOD distribution does not appear possible, but it will still depend on the assumed genetic model. Copyright 2001 S. Karger AG, Basel

  6. MEASURING THE DATA MODEL QUALITY IN THE ESUPPLY CHAINS

    Directory of Open Access Journals (Sweden)

    Zora Arsovski

    2012-03-01

    Full Text Available The implementation of Internet technology in business has enabled the development of e-business supply chains with large-scale information integration among all partners.The development of information systems (IS is based on the established business objectives whose achievement, among other things, directly depends on the quality of development and design of IS. In the process of analysis of the key elements of company operations in the supply chain, process model and corresponding data model are designed which should enable selection of appropriate information system architecture. The quality of the implemented information system, which supports e-supply chain, directly depends on the level of data model quality. One of the serious limitations of the data model is its complexity. With a large number of entities, data model is difficult to analyse, monitor and maintain. The problem gets bigger when looking at an integrated data model at the level of participating partners in the supply chain, where the data model usually consists of hundreds or even thousands of entities.The paper will analyse the key elements affecting the quality of data models and show their interactions and factors of significance. In addition, the paper presents various measures for assessing the quality of the data model on which it is possible to easily locate the problems and focus efforts in specific parts of a complex data model where it is not economically feasible to review every detail of the model.

  7. Pre- and in-therapy predictive score models of adult OSAS patients with poor adherence pattern on nCPAP therapy

    Directory of Open Access Journals (Sweden)

    Wang Y

    2015-05-01

    Full Text Available Yeying Wang,1,2 Alan F Geater,3 Yanling Chai,1 Jiahong Luo,2 Xiaoqun Niu,1 Bing Hai,1 Jingting Qin,1 Yongxia Li1 1Department of Respiratory Medicine, The 2nd Affiliated Hospital of Kunming Medical University, Kunming, Yunnan Province, People’s Republic of China; 2Department of Epidemiology and Biostatistics, School of Public Health, Kunming Medical University, Kunming, Yunnan Province, People’s Republic of China; 3Epidemiology Unit, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand Objectives: To identify patterns of adherence to nasal continuous positive airway pressure (nCPAP use in the first 3 months of therapy among newly diagnosed adult patients with obstructive sleep apnea/hypopnea syndrome (OSAS and their predictors. To develop pretherapy and in-therapy scores to predict adherence pattern. Methods: Newly diagnosed adult OSAS patients were consecutively recruited from March to August 2013. Baseline clinical information and measures such as Epworth Sleepiness Scale (ESS, Fatigue Severity Scale (FSS, Zung’s Self-Rating Depression Scale (SDS, and The Pittsburgh Sleep Quality Index (PSQI at baseline and at the end of 3rd-week therapy were collected. Twelve weeks’ adherence data were collected from the nCPAP memory card, and K-means cluster analysis was used to explore adherence patterns. Predictive scores were developed from the coefficients of cumulative logit models of adherence patterns using variables available at baseline and after 3 weeks of therapy. Performance of the score was validated using 500 bootstrap resamples. Results: Seventy six patients completed a 12-week follow-up. Three patterns were revealed. Patients were identified as developing an adherence pattern that was poor (n=14, mean ± SD, 2.3±0.9 hours per night, moderate (n=19, 5.3±0.6 hours per night, or good (n=43, 6.8±0.3 hours per night. Cumulative logit regression models (good → moderate → poor revealed independent baseline

  8. Quality of reporting of otorhinolaryngology articles using animal models with the ARRIVE statement.

    Science.gov (United States)

    Bezdjian, Aren; Klis, Sjaak F L; Peters, Jeroen P M; Grolman, Wilko; Stegeman, Inge

    2018-02-01

    Research involving animal models is crucial for the advancement of science, provided that experiments are designed, performed, interpreted, and reported well. In order to investigate the quality of reporting of articles in otorhinolaryngology research using animal models, a PubMed database search was conducted to retrieve eligible articles. The checklist of the ARRIVE (Animal Research: Reporting of In Vivo Experiments) guidelines was used to assess the quality of reporting of articles published in ear, nose and throat (ENT) and multidisciplinary journals. Two authors screened titles, abstracts, and full texts to select articles reporting otorhinolaryngology research using in vivo animal models. ENT journals ( n = 35) reported a mean of 57.1% adequately scored ARRIVE items (median: 58.3%; 95% confidence interval [CI; 53.4-60.9%]), while articles published in multidisciplinary journals ( n = 36) reported a mean of 49.1% adequately scored items (median: 50.0; 95% CI [46.2-52.0%]). Articles published in ENT journals showed better quality of reporting of animal studies based on the ARRIVE guidelines ( P reporting of scientific research using animal models.

  9. THE RELATIONSHIP BETWEEN MODELS OF QUALITY MANAGEMENT AND CSR

    Directory of Open Access Journals (Sweden)

    CĂTĂLINA SITNIKOV

    2015-03-01

    Full Text Available Lately, the quality management has integrated more and more among its components Corporate Social Responsibility (CSR. With strong roots in the foundation for sustainable development, protection of the environment, issues of social justness and economic growth, CSR raises numerous issues related to obtaining profits, business performance and firms and activities based on the quality of management. From the point of view of the last issues, the models of quality management built on the fundamental principles of quality become the foundation and catalyst for the effective implementation of CSR in organizations. This is the reason why it is necessary to investigate the extent to which quality management models provide frameworks and guidelines for integrating CSR in the management of quality and, moreover, in the management of the organization, with a clear focus on the extent to which the concept can be institutionalized and operated by the organization.

  10. Examination of the Five Comparable Component Scores of the Diet Quality Indexes HEI-2005 and RC-DQI Using a Nationally Representative Sample of 2–18 Year Old Children: NHANES 2003–2006

    Directory of Open Access Journals (Sweden)

    Sibylle Kranz

    2013-01-01

    Full Text Available Obesity has been associated with low diet quality and the suboptimal intake of food groups and nutrients. Two composite diet quality measurement tools are appropriate for Americans 2–18 years old: the Healthy Eating Index (HEI 2005 and the Revised Children’s Diet Quality Index (RC-DQI. The five components included in both indexes are fruits, vegetables, total grains, whole grains, and milk/dairy. Component scores ranged from 0 to 5 or 0 to 10 points with lower scores indicating suboptimal intake. To allow direct comparisons, one component was rescaled by dividing it by 2; then, all components ranged from 0 to 5 points. The aim of this study was to directly compare the scoring results of these five components using dietary data from a nationally representative sample of children (NHANES 2003–2006, . Correlation coefficients within and between indexes showed less internal consistency in the HEI; age- and ethnic-group stratified analyses indicated higher sensitivity of the RC-DQI. HEI scoring was likely to dichotomize the population into two groups (those with 0 and those with 5 points, while RC-DQI scores resulted in a larger distribution of scores. The scoring scheme of diet quality indexes for children results in great variation of the outcomes, and researchers must be aware of those effects.

  11. Development and application of air quality models at the US ...

    Science.gov (United States)

    Overview of the development and application of air quality models at the U.S. EPA, particularly focused on the development and application of the Community Multiscale Air Quality (CMAQ) model developed within the Computation Exposure Division (CED) of the National Exposure Research Laboratory (NERL). This presentation will provide a simple overview of air quality model development and application geared toward a non-technical student audience. The National Exposure Research Laboratory (NERL) Computational Exposure Division (CED) develops and evaluates data, decision-support tools, and models to be applied to media-specific or receptor-specific problem areas. CED uses modeling-based approaches to characterize exposures, evaluate fate and transport, and support environmental diagnostics/forensics with input from multiple data sources. It also develops media- and receptor-specific models, process models, and decision support tools for use both within and outside of EPA.

  12. On-farm animal welfare assessment in beef bulls: consistency over time of single measures and aggregated Welfare Quality(®) scores.

    Science.gov (United States)

    Kirchner, M K; Schulze Westerath, H; Knierim, U; Tessitore, E; Cozzi, G; Winckler, C

    2014-03-01

    Consistency over time of (on-farm) animal welfare assessment systems forms part of reliability, meaning that results of the assessment should be representative of the longer-term welfare state of the farm as long as the housing and management conditions have not changed considerably. This is especially important if assessments are to be used for certification purposes. It was the aim of the present study to investigate consistency over time of the Welfare Quality(®) (WQ(®)) assessment system for fattening cattle at single measure level, aggregated criterion and principle scores, and overall classification across short-term (1 month) and longer-term periods (6 months). We hypothesized that consistency over time of aggregated criterion and principle scores is higher than that of single measures. Consistency was also expected to be lower with longer intervals between assessments. Data were obtained using the WQ(®) protocol for fattening cattle during three visits (months 0, 1 and 7) on 63 beef farms in Austria, Germany and Italy. Only data from farms where no major changes in housing and management had taken place were considered for analysis. At the single measure level, Spearman rank correlations between visits were >0.7 and variance was lower within farms than between farms for six and two of 19 measures after 1 month and 6 months, respectively. After aggregation of single measures into criterion and principle scores, five and two of 10 criteria and three and one of four principles were found reliable after 1 and 6 months, respectively. At the WQ(®) principle level, this was the case for three and one of four principles. Seventy-nine per cent and 75% of the farms were allocated to the same overall welfare category after 1 month and 6 months. Possible reasons for a lack of consistency are seasonal effects or short-term fluctuations that occur under normal farm conditions, low prevalence of clinical measures and probably insufficient sample size, whereas poor

  13. Hybrid Model for e-Learning Quality Evaluation

    Directory of Open Access Journals (Sweden)

    Suzana M. Savic

    2012-02-01

    Full Text Available E-learning is becoming increasingly important for the competitive advantage of economic organizations and higher education institutions. Therefore, it is becoming a significant aspect of quality which has to be integrated into the management system of every organization or institution. The paper examines e-learning quality characteristics, standards, criteria and indicators and presents a multi-criteria hybrid model for e-learning quality evaluation based on the method of Analytic Hierarchy Process, trend analysis, and data comparison.

  14. A new perceptual difference model for diagnostically relevant quantitative image quality evaluation: a preliminary study.

    Science.gov (United States)

    Miao, Jun; Huang, Feng; Narayan, Sreenath; Wilson, David L

    2013-05-01

    Most objective image quality metrics average over a wide range of image degradations. However, human clinicians demonstrate bias toward different types of artifacts. Here, we aim to create a perceptual difference model based on Case-PDM that mimics the preference of human observers toward different artifacts. We measured artifact disturbance to observers and calibrated the novel perceptual difference model (PDM). To tune the new model, which we call Artifact-PDM, degradations were synthetically added to three healthy brain MR data sets. Four types of artifacts (noise, blur, aliasing or "oil painting" which shows up as flattened, over-smoothened regions) of standard compressed sensing (CS) reconstruction, within a reasonable range of artifact severity, as measured by both PDM and visual inspection, were considered. After the model parameters were tuned by each synthetic image, we used a functional measurement theory pair-comparison experiment to measure the disturbance of each artifact to human observers and determine the weights of each artifact's PDM score. To validate Artifact-PDM, human ratings obtained from a Double Stimulus Continuous Quality Scale experiment were compared to the model for noise, blur, aliasing, oil painting and overall qualities using a large set of CS-reconstructed MR images of varying quality. Finally, we used this new approach to compare CS to GRAPPA, a parallel MRI reconstruction algorithm. We found that, for the same Artifact-PDM score, the human observer found incoherent aliasing to be the most disturbing and noise the least. Artifact-PDM results were highly correlated to human observers in both experiments. Optimized CS reconstruction quality compared favorably to GRAPPA's for the same sampling ratio. We conclude our novel metric can faithfully represent human observer artifact evaluation and can be useful in evaluating CS and GRAPPA reconstruction algorithms, especially in studying artifact trade-offs. Copyright © 2013 Elsevier Inc

  15. Quality Concerns in Technical Education in India: A Quantifiable Quality Enabled Model

    Science.gov (United States)

    Gambhir, Victor; Wadhwa, N. C.; Grover, Sandeep

    2016-01-01

    Purpose: The paper aims to discuss current Technical Education scenarios in India. It proposes modelling the factors affecting quality in a technical institute and then applying a suitable technique for assessment, comparison and ranking. Design/methodology/approach: The paper chose graph theoretic approach for quantification of quality-enabled…

  16. The Feasibility of Quality Function Deployment (QFD) as an Assessment and Quality Assurance Model

    Science.gov (United States)

    Matorera, D.; Fraser, W. J.

    2016-01-01

    Business schools are globally often seen as structured, purpose-driven, multi-sector and multi-perspective organisations. This article is based on the response of a graduate school to an innovative industrial Quality Function Deployment-based model (QFD), which was to be adopted initially in a Master's degree programme for quality assurance…

  17. Hydrologic and Water Quality Model Development Using Simulink

    Directory of Open Access Journals (Sweden)

    James D. Bowen

    2014-11-01

    Full Text Available A stormwater runoff model based on the Soil Conservation Service (SCS method and a finite-volume based water quality model have been developed to investigate the use of Simulink for use in teaching and research. Simulink, a MATLAB extension, is a graphically based model development environment for system modeling and simulation. Widely used for mechanical and electrical systems, Simulink has had less use for modeling of hydrologic systems. The watershed model is being considered for use in teaching graduate-level courses in hydrology and/or stormwater modeling. Simulink’s block (data process and arrow (data transfer object model, the copy and paste user interface, the large number of existing blocks, and the absence of computer code allows students to become model developers almost immediately. The visual depiction of systems, their component subsystems, and the flow of data through the systems are ideal attributes for hands-on teaching of hydrologic and mass balance processes to today’s computer-savvy visual learners. Model development with Simulink for research purposes is also investigated. A finite volume, multi-layer pond model using the water quality kinetics present in CE-QUAL-W2 has been developed using Simulink. The model is one of the first uses of Simulink for modeling eutrophication dynamics in stratified natural systems. The model structure and a test case are presented. One use of the model for teaching a graduate-level water quality modeling class is also described.

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

    Directory of Open Access Journals (Sweden)

    Karen A. Friedman

    2014-11-01

    Full Text Available 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.

  19. A Rotational Blended Learning Model: Enhancement and Quality Assurance

    Science.gov (United States)

    Ghoul, Said

    2013-01-01

    Research on blended learning theory and practice is growing nowadays with a focus on the development, evaluation, and quality assurance of case studies. However, the enhancement of blended learning existing models, the specification of their online parts, and the quality assurance related specifically to them have not received enough attention.…

  20. Modeling E-learning quality assurance benchmarking in higher education

    NARCIS (Netherlands)

    Alsaif, Fatimah; Clementking, Arockisamy

    2014-01-01

    Online education programs have been growing rapidly. While it is somehow difficult to specifically quantify quality, many recommendations have been suggested to specify and demonstrate quality of online education touching on common areas of program enhancement and administration. To design a model

  1. Exploring a "Gap" Model of Information Services Quality.

    Science.gov (United States)

    Kettinger, William J.; Lee, Choong C.

    1995-01-01

    Outlines information systems (IS) service quality improvement to cope with a customer-driven IS environment due to the growth of end-user computing, information technology decentralization, and alternative sources of supply. It adapts a conceptual "gap" model from the marketing field as a framework for IS service quality management. (67…

  2. Water quality modelling and optimisation of wastewater treatment ...

    African Journals Online (AJOL)

    2016-10-04

    Oct 4, 2016 ... Using this model, it was demonstrated that water quality standards can be met at all monitoring points at a minimum cost by simultaneously optimising treatment levels at each treatment plant. Keywords: instream water quality, mixed integer optimisation, wastewater treatment levels, Streeter-Phelps.

  3. Modeling air-quality in complex terrain using mesoscale and ...

    African Journals Online (AJOL)

    Air-quality in a complex terrain (Colorado-River-Valley/Grand-Canyon Area, Southwest U.S.) is modeled using a higher-order closure mesoscale model and a higher-order closure dispersion model. Non-reactive tracers have been released in the Colorado-River valley, during winter and summer 1992, to study the ...

  4. Mathematical model for water quality (portable water): a case study ...

    African Journals Online (AJOL)

    A water quality model for water-use-goal is proposed. The model is tested with a treatment schedule at a water works for portable water. It was observed that at least a 25 per cent savings can be achieved if the model is employed. Mathematics Connection Vol. 4 2004: 27-30 ...

  5. Modeling Air-Quality in Complex Terrain Using Mesoscale and ...

    African Journals Online (AJOL)

    Air-quality in a complex terrain (Colorado-River-Valley/Grand-Canyon Area, Southwest U.S.) is modeled using a higher-order closure mesoscale model and a higher-order closure dispersion model. Non-reactive tracers have been released in the Colorado-River valley, during winter and summer 1992, to study the ...

  6. Associations between preoperative Oxford hip and knee scores and costs and quality of life of patients undergoing primary total joint replacement in the NHS England: an observational study.

    Science.gov (United States)

    Eibich, Peter; Dakin, Helen A; Price, Andrew James; Beard, David; Arden, Nigel K; Gray, Alastair M

    2018-04-10

    To assess how costs and quality of life (measured by EuroQoL-5 Dimensions (EQ-5D)) before and after total hip replacement (THR) and total knee replacement (TKR) vary with age, gender and preoperative Oxford hip score (OHS) and Oxford knee score (OKS). Regression analyses using prospectively collected data from clinical trials, cohort studies and administrative data bases. UK secondary care. Men and women undergoing primary THR or TKR. The Hospital Episode Statistics data linked to patient-reported outcome measures included 602 176 patients undergoing hip or knee replacement who were followed up for up to 6 years. The Knee Arthroplasty Trial included 2217 patients undergoing TKR who were followed up for 12 years. The Clinical Outcomes in Arthroplasty Study cohort included 806 patients undergoing THR and 484 patients undergoing TKR who were observed for 1 year. EQ-5D-3L quality of life before and after surgery, costs of primary arthroplasty, costs of revision arthroplasty and the costs of hospital readmissions and ambulatory costs in the year before and up to 12 years after joint replacement. Average postoperative utility for patients at the 5th percentile of the OHS/OKS distribution was 0.61/0.5 for THR/TKR and 0.89/0.85 for patients at the 95th percentile. The difference between postoperative and preoperative EQ-5D utility was highest for patients with preoperative OHS/OKS lower than 10. However, postoperative EQ-5D utility was higher than preoperative utility for all patients with OHS≤46 and those with OKS≤44. In contrast, costs were generally higher for patients with low preoperative OHS/OKS than those with high OHS/OKS. For example, costs of hospital readmissions within 12 months after primary THR/TKR were £740/£888 for patients at the 5th percentile compared with £314/£404 at the 95th percentile of the OHS/OKS distribution. Our findings suggest that costs and quality of life associated with total joint replacement vary systematically with

  7. A Probabilistic Decision-Making Scoring System for Quality and Safety Management in Aloreña de Málaga Table Olive Processing

    Directory of Open Access Journals (Sweden)

    Miguel Á. Ruiz Bellido

    2017-11-01

    Full Text Available Table olives are one of the most representatives and consumed fermented vegetables in Mediterranean countries. However, there is an evident lack of standardization of production processes and HACCP systems thus implying the need of establishing decision-making tools allowing their commercialization and shelf-life extension. The present work aims at developing a decision-making scoring system by means of a probabilistic assessment to standardize production process of Aloreña de Málaga table olives based on the identification of potential hazards or deficiencies in hygienic processes for the subsequent implementation of corrective measures. A total of 658 microbiological and physico-chemical data were collected over three consecutive olive campaigns (2014–2016 to measure the variability and relative importance of each elaboration step on total hygienic quality and product safety. Three representative companies were visited to collect samples from food-contact surfaces, olive fruits, brines, air environment, olive dressings, water tanks, and finished/packaged products. A probabilistic assessment was done based on the establishment of Performance Hygiene and Safety Scores (PHSS 0–100% through a standardized system for evaluating product acceptability. The mean value of the global PHSS for the Aloreña de Málaga table olives processing (PHHSFTOT was 64.82% (90th CI: 52.78–76.39% indicating the high variability among facilities in the evaluated processing steps on final product quality and safety. Washing and cracking, and selection and addition of olive dressings were detected as the most deficient ones in relation to PHSSFi values (p < 0.05 (mean = 53.02 and 56.62%, respectively. The relative contribution of each processing step was quantified by different experts (n = 25 from the Aloreña de Málaga table olive sector through a weighted PHSS (PHSSw. The mean value of PHSSw was 65.53% (90th CI: 53.12–77.52%. The final processing steps

  8. Reduced-form air quality modeling for community-scale ...

    Science.gov (United States)

    Transportation plays an important role in modern society, but its impact on air quality has been shown to have significant adverse effects on public health. Numerous reviews (HEI, CDC, WHO) summarizing findings of hundreds of studies conducted mainly in the last decade, conclude that exposures to traffic emissions near roads are a public health concern. The Community LINE Source Model (C-LINE) is a web-based model designed to inform the community user of local air quality impacts due to roadway vehicles in their region of interest using a simplified modeling approach. Reduced-form air quality modeling is a useful tool for examining what-if scenarios of changes in emissions, such as those due to changes in traffic volume, fleet mix, or vehicle speed. Examining various scenarios of air quality impacts in this way can identify potentially at-risk populations located near roadways, and the effects that a change in traffic activity may have on them. C-LINE computes dispersion of primary mobile source pollutants using meteorological conditions for the region of interest and computes air-quality concentrations corresponding to these selected conditions. C-LINE functionality has been expanded to model emissions from port-related activities (e.g. ships, trucks, cranes, etc.) in a reduced-form modeling system for local-scale near-port air quality analysis. This presentation describes the Community modeling tools C-LINE and C-PORT that are intended to be used by local gove

  9. Pre- and in-therapy predictive score models of adult OSAS patients with poor adherence pattern on nCPAP therapy.

    Science.gov (United States)

    Wang, Yeying; Geater, Alan F; Chai, Yanling; Luo, Jiahong; Niu, Xiaoqun; Hai, Bing; Qin, Jingting; Li, Yongxia

    2015-01-01

    To identify patterns of adherence to nasal continuous positive airway pressure (nCPAP) use in the first 3 months of therapy among newly diagnosed adult patients with obstructive sleep apnea/hypopnea syndrome (OSAS) and their predictors. To develop pretherapy and in-therapy scores to predict adherence pattern. Newly diagnosed adult OSAS patients were consecutively recruited from March to August 2013. Baseline clinical information and measures such as Epworth Sleepiness Scale (ESS), Fatigue Severity Scale (FSS), Zung's Self-Rating Depression Scale (SDS), and The Pittsburgh Sleep Quality Index (PSQI) at baseline and at the end of 3rd-week therapy were collected. Twelve weeks' adherence data were collected from the nCPAP memory card, and K-means cluster analysis was used to explore adherence patterns. Predictive scores were developed from the coefficients of cumulative logit models of adherence patterns using variables available at baseline and after 3 weeks of therapy. Performance of the score was validated using 500 bootstrap resamples. Seventy six patients completed a 12-week follow-up. Three patterns were revealed. Patients were identified as developing an adherence pattern that was poor (n=14, mean ± SD, 2.3±0.9 hours per night), moderate (n=19, 5.3±0.6 hours per night), or good (n=43, 6.8±0.3 hours per night). Cumulative logit regression models (good → moderate → poor) revealed independent baseline predictors to be ESS (per unit increase) (OR [95% CI], 0.763 [0.651, 0.893]), SDS (1.461 [1.238, 1.724]), and PSQI (2.261 [1.427, 3.584]); and 3-week therapy predictors to be ESS (0.554 [0.331, 0.926]), PSQI (2.548 [1.454, 4.465]), and the changes (3rd week-baseline data) in ESS (0.459 [0.243, 0.868]), FSS (3.556 [1.788, 7.070]), and PSQI (2.937 [1.273, 6.773]). Two predictive score formulas for poor adherence were developed. The area under the curve (AUC) of the receiver operating characteristics (ROC) curves for baseline and 3-week formulas were 0.989 and 0

  10. Predictive model for determining the quality of a call

    Science.gov (United States)

    Voznak, M.; Rozhon, J.; Partila, P.; Safarik, J.; Mikulec, M.; Mehic, M.

    2014-05-01

    In this paper the predictive model for speech quality estimation is described. This model allows its user to gain the information about the speech quality in VoIP networks without the need of performing the actual call and the consecutive time consuming sound file evaluation. This rapidly increases usability of the speech quality measurement especially in high load networks, where the actual processing of all calls is rendered difficult or even impossible. This model can reach its results that are highly conformant with the PESQ algorithm only based on the network state parameters that are easily obtainable by the commonly used software tools. Experiments were carried out to investigate whether different languages (English, Czech) have an effect on perceived voice quality for the same network conditions and the language factor was incorporated directly into the model.

  11. Modelling of the Quality Management of the Human Resource Training

    Directory of Open Access Journals (Sweden)

    Bucur Amelia

    2015-12-01

    Full Text Available It is known that for the scientific substantiation of quality management have been applied models that pertain to mathematical statistics, the probability theory, the information theory, fuzzy systems, graphic methods, time series, and algebraic and numerical methods.

  12. An effective quality