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Sample records for exploratory analysis applied

  1. Improving Skill Development: An Exploratory Study Comparing a Philosophical and an Applied Ethical Analysis Technique

    ERIC Educational Resources Information Center

    Al-Saggaf, Yeslam; Burmeister, Oliver K.

    2012-01-01

    This exploratory study compares and contrasts two types of critical thinking techniques; one is a philosophical and the other an applied ethical analysis technique. The two techniques analyse an ethically challenging situation involving ICT that a recent media article raised to demonstrate their ability to develop the ethical analysis skills of…

  2. Graphical and Numerical Descriptive Analysis: Exploratory Tools Applied to Vietnamese Data

    ERIC Educational Resources Information Center

    Haughton, Dominique; Phong, Nguyen

    2004-01-01

    This case study covers several exploratory data analysis ideas, the histogram and boxplot, kernel density estimates, the recently introduced bagplot--a two-dimensional extension of the boxplot--as well as the violin plot, which combines a boxplot with a density shape plot. We apply these ideas and demonstrate how to interpret the output from these…

  3. Improving skill development: an exploratory study comparing a philosophical and an applied ethical analysis technique

    NASA Astrophysics Data System (ADS)

    Al-Saggaf, Yeslam; Burmeister, Oliver K.

    2012-09-01

    This exploratory study compares and contrasts two types of critical thinking techniques; one is a philosophical and the other an applied ethical analysis technique. The two techniques analyse an ethically challenging situation involving ICT that a recent media article raised to demonstrate their ability to develop the ethical analysis skills of ICT students and professionals. In particular the skill development focused on includes: being able to recognise ethical challenges and formulate coherent responses; distancing oneself from subjective judgements; developing ethical literacy; identifying stakeholders; and communicating ethical decisions made, to name a few.

  4. Bayesian Exploratory Factor Analysis

    PubMed Central

    Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.; Piatek, Rémi

    2014-01-01

    This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates from a high dimensional set of psychological measurements. PMID:25431517

  5. Exploratory Factor Analysis as a Construct Validation Tool: (Mis)applications in Applied Linguistics Research

    ERIC Educational Resources Information Center

    Karami, Hossein

    2015-01-01

    Factor analysis has been frequently exploited in applied research to provide evidence about the underlying factors in various measurement instruments. A close inspection of a large number of studies published in leading applied linguistic journals shows that there is a misconception among applied linguists as to the relative merits of exploratory…

  6. Confirmatory and exploratory analysis applied to pharmaco-EEG and related study data: contradiction or useful enrichment?

    PubMed

    Ferner, U; Matejcek, M; Neff, G

    1983-01-01

    Besides hypothesis testing, which should be done as sparingly as possible, the measured or observed data should be described as extensively as possible. The traditional reliance on profiles of the mean responses may neglect useful information, and such profiles may also be misleading. With the aid of exploratory data analysis, different aspects of the structure of a data set can be considered. 'Data snooping' may discover coherences, non-trivial structures and peculiarities, which lead to a new hypothesis or to new mathematical-statistical models. It is, in our opinion, a necessity to consider exploratory and confirmatory data analyses in conjunction. This will be illustrated by examples taken from pharmaco-EEG studies. PMID:6621857

  7. Exploratory Bi-Factor Analysis

    ERIC Educational Resources Information Center

    Jennrich, Robert I.; Bentler, Peter M.

    2011-01-01

    Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger. The bi-factor model has a general factor and a number of group factors. The purpose of this article is to introduce an exploratory form of bi-factor analysis. An advantage of using exploratory bi-factor analysis is that one need not provide a specific…

  8. Exploratory orbit analysis

    SciTech Connect

    Michelotti, L.

    1989-03-01

    Unlike the other documents in these proceedings, this paper is neither a scientific nor a technical report. It is, rather, a short personal essay which attempts to describe an Exploratory Orbit Analysis (EOA) environment. Analyzing the behavior of a four or six dimensional nonlinear dynamical system is at least as difficult as analyzing events in high-energy collisions; the consequences of doing it badly, or slowly, would be at least as devastating; and yet the level of effort and expenditure invested in the latter, the very attention paid to it by physicists at large, must be two orders of magnitude greater than that given to the former. It is difficult to choose the model which best explains the behavior of a physical device if one does not first understand the behavior of the available models. The time is ripe for the development of a functioning EOA environment, which I will try to describe in this paper to help us achieve this goal.

  9. Exploratory Analysis in Learning Analytics

    ERIC Educational Resources Information Center

    Gibson, David; de Freitas, Sara

    2016-01-01

    This article summarizes the methods, observations, challenges and implications for exploratory analysis drawn from two learning analytics research projects. The cases include an analysis of a games-based virtual performance assessment and an analysis of data from 52,000 students over a 5-year period at a large Australian university. The complex…

  10. Exploratory factor analysis for small samples.

    PubMed

    Jung, Sunho; Lee, Soonmook

    2011-09-01

    Traditionally, two distinct approaches have been employed for exploratory factor analysis: maximum likelihood factor analysis and principal component analysis. A third alternative, called regularized exploratory factor analysis, was introduced recently in the psychometric literature. Small sample size is an important issue that has received considerable discussion in the factor analysis literature. However, little is known about the differential performance of these three approaches to exploratory factor analysis in a small sample size scenario. A simulation study and an empirical example demonstrate that regularized exploratory factor analysis may be recommended over the two traditional approaches, particularly when sample sizes are small (below 50) and the sample covariance matrix is near singular.

  11. The Infinitesimal Jackknife with Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Zhang, Guangjian; Preacher, Kristopher J.; Jennrich, Robert I.

    2012-01-01

    The infinitesimal jackknife, a nonparametric method for estimating standard errors, has been used to obtain standard error estimates in covariance structure analysis. In this article, we adapt it for obtaining standard errors for rotated factor loadings and factor correlations in exploratory factor analysis with sample correlation matrices. Both…

  12. Comparisons of Exploratory and Confirmatory Factor Analysis.

    ERIC Educational Resources Information Center

    Daniel, Larry G.

    Historically, most researchers conducting factor analysis have used exploratory methods. However, more recently, confirmatory factor analytic methods have been developed that can directly test theory either during factor rotation using "best fit" rotation methods or during factor extraction, as with the LISREL computer programs developed by K. G.…

  13. Exploratory Factor Analysis with Small Sample Sizes

    ERIC Educational Resources Information Center

    de Winter, J. C. F.; Dodou, D.; Wieringa, P. A.

    2009-01-01

    Exploratory factor analysis (EFA) is generally regarded as a technique for large sample sizes ("N"), with N = 50 as a reasonable absolute minimum. This study offers a comprehensive overview of the conditions in which EFA can yield good quality results for "N" below 50. Simulations were carried out to estimate the minimum required "N" for different…

  14. What Is Rotating in Exploratory Factor Analysis?

    ERIC Educational Resources Information Center

    Osborne, Jason W.

    2015-01-01

    Exploratory factor analysis (EFA) is one of the most commonly-reported quantitative methodology in the social sciences, yet much of the detail regarding what happens during an EFA remains unclear. The goal of this brief technical note is to explore what "rotation" is, what exactly is rotating, and why we use rotation when performing…

  15. Exploratory visual analysis of pharmacogenomic results.

    PubMed

    Reif, David M; Dudek, Scott M; Shaffer, Christian M; Wang, Janey; Moore, Jason H

    2005-01-01

    Comprehensive analysis of expansive pharmacogenomic datasets is a daunting challenge. A thorough exploration of experimental results requires both statistical and annotative information. Therefore, appropriate analysis tools must bring a readily-accessible, flexible combination of statistics and biological annotation to the user's desktop. We present the Exploratory Visual Analysis (EVA) software and database as such a tool and demonstrate its utility in replicating the findings of an earlier pharmacogenomic study as well as elucidating novel biologically plausible hypotheses. EVA brings all of the often disparate pieces of analysis together in an infinitely flexible visual display that is amenable to any type of statistical result and biological question. Here, we describe the motivations for developing EVA, detail the database and custom graphical user interface (GUI), provide an example of its application to a publicly available pharmacogenomic dataset, and discuss the broad utility of the EVA tool for the pharmacogenomics community. PMID:15759635

  16. A Review of CEFA Software: Comprehensive Exploratory Factor Analysis Program

    ERIC Educational Resources Information Center

    Lee, Soon-Mook

    2010-01-01

    CEFA 3.02(Browne, Cudeck, Tateneni, & Mels, 2008) is a factor analysis computer program designed to perform exploratory factor analysis. It provides the main properties that are needed for exploratory factor analysis, namely a variety of factoring methods employing eight different discrepancy functions to be minimized to yield initial solutions, a…

  17. Key Words and the Analysis of Exploratory Talk

    ERIC Educational Resources Information Center

    Herrlitz-Biró, Linda; Elbers, Ed; de Haan, Mariëtte

    2013-01-01

    The count of key words indicating the quality of reasoning has been used as a method to observe exploratory talk. However, reasoning in talk does not necessarily contain key words. The analysis of key words leaves unattended other aspects of exploratory talk, such as collaborative processes. The question is: to what extent can the analysis of key…

  18. Exploratory Studies Facility Subsurface Fire Hazards Analysis

    SciTech Connect

    J. L. Kubicek

    2001-09-07

    The primary objective of this Fire Hazard Analysis (FHA) is to confirm the requirements for a comprehensive fire and related hazards protection program for the Exploratory Studies Facility (ESF) are sufficient to minimize the potential for: (1) The occurrence of a fire or related event. (2) A fire that causes an unacceptable on-site or off-site release of hazardous or radiological material that will threaten the health and safety of employees, the public or the environment. (3) Vital US. Department of Energy (DOE) programs suffering unacceptable interruptions as a result of fire and related hazards. (4) Property losses from a fire and related events exceeding limits established by DOE. (5) Critical process controls and safety class systems being damaged as a result of a fire and related events.

  19. Exploratory Studies Facility Subsurface Fire Hazards Analysis

    SciTech Connect

    Richard C. Logan

    2002-03-28

    The primary objective of this Fire Hazard Analysis (FHA) is to confirm the requirements for a comprehensive fire and related hazards protection program for the Exploratory Studies Facility (ESF) are sufficient to minimize the potential for: The occurrence of a fire or related event; A fire that causes an unacceptable on-site or off-site release of hazardous or radiological material that will threaten the health and safety of employees, the public or the environment; Vital U.S. Department of Energy (DOE) programs suffering unacceptable interruptions as a result of fire and related hazards; Property losses from a fire and related events exceeding limits established by DOE; and Critical process controls and safety class systems being damaged as a result of a fire and related events.

  20. Phosphazenes for energy production and storage: Applied and exploratory synthesis

    NASA Astrophysics Data System (ADS)

    Hess, Andrew R.

    This dissertation involves progress toward phosphazene-based ion conducting materials with a focus on structure-property relationships to improve these materials. This dissertation also includes some more fundamental exploratory syntheses to probe the limits of phosphazene chemistry and discover structure-property relationships that may be useful in designing compounds to fulfill important technical requirements. Chapter 1 provides a brief introduction to polymers and polyphosphazenes as well as ion-conducting materials and the contribution of polyphosphazene chemistry to that field. Chapter 1 also provides a brief introduction to some analytical techniques. Chapter 2 begins with the use of organophosphates as stand-alone non-volatile and fire-retardant liquid electrolyte media for dye sensitized solar cells (DSSCs) as well as their use as plasticizer in polymer gel electrolytes intended for application in lithium batteries. These organophosphates are the smallest phosphorus containing model molecules investigated in this dissertation. A homologous series of oligoalkyleneoxy substituted phosphates was synthesized and the effect of the substituent chain length on viscosity and conductivity was investigated. Small, test-scale DSSCs were constructed and showed promising results with overall cell efficiencies of up to 3.6% under un-optimized conditions. Conductivity measurements were performed on polymer gel-electrolytes based on poly[bis(2-(2-methoxyethoxy)ethoxy)phosphazene] (MEEP) plasticized with the phosphate with the best combination of properties, using a system loaded with lithium trifluoromethanesulfonate as the charge carrier. In chapter 3 the effect of the cation of the charge carrier species on the anionic conductivity of DSSC type electrolytes is evaluated using hexakis(2-(2-methoxyethoxy)ethoxy)cyclotriphosphazene (MEE-trimer) as a small molecule model for MEEP. The iodides of lithium, sodium, and ammonium as well as the ionic liquid, 1-propyl-3

  1. Seeing the Forest Despite the Trees: The Benefit of Exploratory Data Analysis to Program Evaluation Research.

    ERIC Educational Resources Information Center

    Sinacore, James M.; And Others

    1992-01-01

    It is argued that there is a benefit to applying techniques of exploratory data analysis (EDA) to program evaluation. The evaluation of a rehabilitation program for people with rheumatoid arthritis (20 subjects and 21 comparisons) through EDA supports the argument, indicating outcomes more precisely than conventional analysis of variance. (SLD)

  2. A Brief History of the Philosophical Foundations of Exploratory Factor Analysis.

    ERIC Educational Resources Information Center

    Mulaik, Stanley A.

    1987-01-01

    Exploratory factor analysis derives its key ideas from many sources, including Aristotle, Francis Bacon, Descartes, Pearson and Yule, and Kant. The conclusions of exploratory factor analysis are never complete without subsequent confirmatory factor analysis. (Author/GDC)

  3. Exploratory Bi-Factor Analysis: The Oblique Case

    ERIC Educational Resources Information Center

    Jennrich, Robert I.; Bentler, Peter M.

    2012-01-01

    Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford ("Psychometrika" 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler ("Psychometrika" 76:537-549, 2011) introduced an exploratory form of bi-factor…

  4. Applied Behavior Analysis

    ERIC Educational Resources Information Center

    Szapacs, Cindy

    2006-01-01

    Teaching strategies that work for typically developing children often do not work for those diagnosed with an autism spectrum disorder. However, teaching strategies that work for children with autism do work for typically developing children. In this article, the author explains how the principles and concepts of Applied Behavior Analysis can be…

  5. An Exploratory Analysis of History Students' Dissertation Acknowledgments

    ERIC Educational Resources Information Center

    Scrivener, Laurie

    2009-01-01

    Librarians and archivists can gain insight into the disciplinary culture of historians, and history doctoral students in particular, by examining the acknowledgment sections of these students' doctoral dissertations. This paper is an exploratory analysis of the 219 history dissertations written at the University of Oklahoma between 1930 and 2005.…

  6. Factor Loading Estimation Error and Stability Using Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Sass, Daniel A.

    2010-01-01

    Exploratory factor analysis (EFA) is commonly employed to evaluate the factor structure of measures with dichotomously scored items. Generally, only the estimated factor loadings are provided with no reference to significance tests, confidence intervals, and/or estimated factor loading standard errors. This simulation study assessed factor loading…

  7. A Comparative Investigation of Rotation Criteria within Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Sass, Daniel A.; Schmitt, Thomas A.

    2010-01-01

    Exploratory factor analysis (EFA) is a commonly used statistical technique for examining the relationships between variables (e.g., items) and the factors (e.g., latent traits) they depict. There are several decisions that must be made when using EFA, with one of the more important being choice of the rotation criterion. This selection can be…

  8. Exploratory Factor Analysis of African Self-Consciousness Scale Scores

    ERIC Educational Resources Information Center

    Bhagwat, Ranjit; Kelly, Shalonda; Lambert, Michael C.

    2012-01-01

    This study replicates and extends prior studies of the dimensionality, convergent, and external validity of African Self-Consciousness Scale scores with appropriate exploratory factor analysis methods and a large gender balanced sample (N = 348). Viable one- and two-factor solutions were cross-validated. Both first factors overlapped significantly…

  9. Exploratory and Confirmatory Analysis of the Trauma Practices Questionnaire

    ERIC Educational Resources Information Center

    Craig, Carlton D.; Sprang, Ginny

    2009-01-01

    Objective: The present study provides psychometric data for the Trauma Practices Questionnaire (TPQ). Method: A nationally randomized sample of 2,400 surveys was sent to self-identified trauma treatment specialists, and 711 (29.6%) were returned. Results: An exploratory factor analysis (N = 319) conducted on a randomly split sample (RSS) revealed…

  10. Likelihood-Based Confidence Intervals in Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Oort, Frans J.

    2011-01-01

    In exploratory or unrestricted factor analysis, all factor loadings are free to be estimated. In oblique solutions, the correlations between common factors are free to be estimated as well. The purpose of this article is to show how likelihood-based confidence intervals can be obtained for rotated factor loadings and factor correlations, by…

  11. Twitter Use in Libraries: An Exploratory Analysis

    ERIC Educational Resources Information Center

    Aharony, Noa

    2010-01-01

    Microblogging is a relatively new phenomenon in online social networking that has become increasingly prevalent in the last few years. This study explores the use of Twitter in public and academic libraries to understand microblogging patterns. Analysis of the tweets was conducted in two phases: (1) statistical descriptive analysis and (2) content…

  12. HBCU Efficiency and Endowments: An Exploratory Analysis

    ERIC Educational Resources Information Center

    Coupet, Jason; Barnum, Darold

    2010-01-01

    Discussions of efficiency among Historically Black Colleges and Universities (HBCUs) are often missing in academic conversations. This article seeks to assess efficiency of individual HBCUs using Data Envelopment Analysis (DEA), a non-parametric technique that can synthesize multiple inputs and outputs to determine a single efficiency score for…

  13. Determining Dimensionality of Exercise Readiness Using Exploratory Factor Analysis

    PubMed Central

    Strohacker, Kelley; Zakrajsek, Rebecca A.

    2016-01-01

    Assessment of “exercise readiness” is a central component to the flexible non-linear periodization (FNLP) method of organizing training workloads, but the underlying factor structure of this construct has not been empirically determined. The purpose of this study was to assess construct dimensionality of exercise readiness using exploratory factor analysis. The result of which serve as initial steps of developing a brief measure of exercise readiness. Participants consisted of students recruited from undergraduate Kinesiology courses at a racially diverse, southern University. Independent, anonymous online survey data were collected across three stages: 1) generation of item pool (n = 290), 2) assessment of face validity and refinement of item pool (n = 168), and 3) exploratory factor analysis (n = 684). A principal axis factor analysis was conducted with 41 items using oblique rotation (promax). Four statistically significant factors, as determined through parallel analysis, explained 61.5% of the variance in exercise readiness. Factor 1 contained items that represented vitality (e.g., lively, revived). Factor 2 items related to physical fatigue (e.g. tired, drained). Factors 3 and 4 were descriptive of, discomfort (e.g. pain, sick) and health (i.e. healthy, fit), respectively. This inductive approach indicates that exercise readiness is comprised of four dimensions: vitality, physical fatigue, discomfort, and health. This finding supports readiness assessment techniques currently recommended for practitioners according to the FNLP model. These results serve as a theoretical foundation upon which to further develop and refine a brief survey instrument to measure exercise readiness. Key points Assessment of exercise readiness is a key component in implementing an exercise program based on flexible nonlinear periodization, but the dimensionality of this concept has not been empirically determined. Based on a series of surveys and a robust exploratory factor

  14. Determining Dimensionality of Exercise Readiness Using Exploratory Factor Analysis.

    PubMed

    Strohacker, Kelley; Zakrajsek, Rebecca A

    2016-06-01

    Assessment of "exercise readiness" is a central component to the flexible non-linear periodization (FNLP) method of organizing training workloads, but the underlying factor structure of this construct has not been empirically determined. The purpose of this study was to assess construct dimensionality of exercise readiness using exploratory factor analysis. The result of which serve as initial steps of developing a brief measure of exercise readiness. Participants consisted of students recruited from undergraduate Kinesiology courses at a racially diverse, southern University. Independent, anonymous online survey data were collected across three stages: 1) generation of item pool (n = 290), 2) assessment of face validity and refinement of item pool (n = 168), and 3) exploratory factor analysis (n = 684). A principal axis factor analysis was conducted with 41 items using oblique rotation (promax). Four statistically significant factors, as determined through parallel analysis, explained 61.5% of the variance in exercise readiness. Factor 1 contained items that represented vitality (e.g., lively, revived). Factor 2 items related to physical fatigue (e.g. tired, drained). Factors 3 and 4 were descriptive of, discomfort (e.g. pain, sick) and health (i.e. healthy, fit), respectively. This inductive approach indicates that exercise readiness is comprised of four dimensions: vitality, physical fatigue, discomfort, and health. This finding supports readiness assessment techniques currently recommended for practitioners according to the FNLP model. These results serve as a theoretical foundation upon which to further develop and refine a brief survey instrument to measure exercise readiness. Key pointsAssessment of exercise readiness is a key component in implementing an exercise program based on flexible nonlinear periodization, but the dimensionality of this concept has not been empirically determined.Based on a series of surveys and a robust exploratory factor analysis

  15. Big Data Visual Analytics for Exploratory Earth System Simulation Analysis

    SciTech Connect

    Steed, Chad A.; Ricciuto, Daniel M.; Shipman, Galen M.; Smith, Brian E.; Thornton, Peter E.; Wang, Dali; Shi, Xiaoying; Williams, Dean N.

    2013-12-01

    Rapid increases in high performance computing are feeding the development of larger and more complex data sets in climate research, which sets the stage for so-called big data analysis challenges. However, conventional climate analysis techniques are inadequate in dealing with the complexities of today s data. In this paper, we describe and demonstrate a visual analytics system, called the Exploratory Data analysis ENvironment (EDEN), with specific application to the analysis of complex earth system simulation data sets. EDEN represents the type of interactive visual analysis tools that are necessary to transform data into insight, thereby improving critical comprehension of earth system processes. In addition to providing an overview of EDEN, we describe real-world studies using both point ensembles and global Community Land Model Version 4 (CLM4) simulations.

  16. Exploratory Causal Analysis in Bivariate Time Series Data

    NASA Astrophysics Data System (ADS)

    McCracken, James M.

    Many scientific disciplines rely on observational data of systems for which it is difficult (or impossible) to implement controlled experiments and data analysis techniques are required for identifying causal information and relationships directly from observational data. This need has lead to the development of many different time series causality approaches and tools including transfer entropy, convergent cross-mapping (CCM), and Granger causality statistics. In this thesis, the existing time series causality method of CCM is extended by introducing a new method called pairwise asymmetric inference (PAI). It is found that CCM may provide counter-intuitive causal inferences for simple dynamics with strong intuitive notions of causality, and the CCM causal inference can be a function of physical parameters that are seemingly unrelated to the existence of a driving relationship in the system. For example, a CCM causal inference might alternate between ''voltage drives current'' and ''current drives voltage'' as the frequency of the voltage signal is changed in a series circuit with a single resistor and inductor. PAI is introduced to address both of these limitations. Many of the current approaches in the times series causality literature are not computationally straightforward to apply, do not follow directly from assumptions of probabilistic causality, depend on assumed models for the time series generating process, or rely on embedding procedures. A new approach, called causal leaning, is introduced in this work to avoid these issues. The leaning is found to provide causal inferences that agree with intuition for both simple systems and more complicated empirical examples, including space weather data sets. The leaning may provide a clearer interpretation of the results than those from existing time series causality tools. A practicing analyst can explore the literature to find many proposals for identifying drivers and causal connections in times series data

  17. Replication Analysis in Exploratory Factor Analysis: What It Is and Why It Makes Your Analysis Better

    ERIC Educational Resources Information Center

    Osborne, Jason W.; Fitzpatrick, David C.

    2012-01-01

    Exploratory Factor Analysis (EFA) is a powerful and commonly-used tool for investigating the underlying variable structure of a psychometric instrument. However, there is much controversy in the social sciences with regard to the techniques used in EFA (Ford, MacCallum, & Tait, 1986; Henson & Roberts, 2006) and the reliability of the outcome.…

  18. Atypical myopathy in grazing horses: a first exploratory data analysis.

    PubMed

    Votion, Dominique-M; Linden, Annick; Delguste, Catherine; Amory, Hélène; Thiry, Etienne; Engels, Patrick; van Galen, Gaby; Navet, Rachel; Sluse, Francis; Serteyn, Didier; Saegerman, Claude

    2009-04-01

    Over the last decade, atypical myopathy (AM) in grazing horses has emerged in several European countries. An exploratory analysis was conducted to determine horse- and pasture-level indicators or factors associated with AM in Belgium. Belgian cases of AM confirmed by histology (n=57) were compared to their healthy co-grazing horses (n=77) and to pastured horses not involved with AM as controls (n=386). The pastures where confirmed cases were grazing (42 pastures; 38 sites; 44 incidences of AM) were compared with those of the controls (216 pastures; 96 sites; no incidence of AM). Statistically significant (P< or =0.05) exploratory variables, identified by means of adjusted odds ratios, suggested that indicators or factors associated with individual horses (young age, inactivity, body condition poor to normal), management practices (permanent pasturing, spreading of manure) and pasture characteristics (humid, sloping pastures, accumulated dead leaves, presence of waterway) may increase the risk of AM. Specific interventions based on these factors might help to reduce the incidence of AM.

  19. Applying Threshold Concepts Theory to an Unsettled Field: An Exploratory Study in Criminal Justice Education

    ERIC Educational Resources Information Center

    Wimshurst, Kerry

    2011-01-01

    Criminal justice education is a relatively new program in higher education in many countries, and its curriculum and parameters remain unsettled. An exploratory study investigated whether threshold concepts theory provided a useful lens by which to explore student understandings of this multidisciplinary field. Eight high-performing final-year…

  20. The Use of Exploratory Factor Analysis and Principal Components Analysis in Communication Research.

    ERIC Educational Resources Information Center

    Park, Hee Sun; Dailey, Rene; Lemus, Daisy

    2002-01-01

    Discusses the distinct purposes of principal components analysis (PCA) and exploratory factor analysis (EFA), using two data sets as examples. Reviews the use of each technique in three major communication journals: "Communication Monographs,""Human Communication Research," and "Communication Research." Finds that the use of EFA and PCA indicates…

  1. Applying the Theory of Work Adjustment to Latino Immigrant Workers: An Exploratory Study

    PubMed Central

    Eggerth, Donald E.; Flynn, Michael A.

    2015-01-01

    Blustein mapped career decision making onto Maslow’s model of motivation and personality and concluded that most models of career development assume opportunities and decision-making latitude that do not exist for many individuals from low income or otherwise disadvantaged backgrounds. Consequently, Blustein argued that these models may be of limited utility for such individuals. Blustein challenged researchers to reevaluate current career development approaches, particularly those assuming a static world of work, from a perspective allowing for changing circumstances and recognizing career choice can be limited by access to opportunities, personal obligations, and social barriers. This article represents an exploratory effort to determine if the theory of work adjustment (TWA) might meaningfully be used to describe the work experiences of Latino immigrant workers, a group living with severe constraints and having very limited employment opportunities. It is argued that there is significant conceptual convergence between Maslow’s hierarchy of needs and the work reinforcers of TWA. The results of an exploratory, qualitative study with a sample of 10 Latino immigrants are also presented. These immigrants participated in key informant interviews concerning their work experiences both in the United States and in their home countries. The findings support Blustein’s contention that such workers will be most focused on basic survival needs and suggest that TWA reinforcers are descriptive of important aspects of how Latino immigrant workers conceptualize their jobs. PMID:26345693

  2. Applying STAMP in Accident Analysis

    NASA Technical Reports Server (NTRS)

    Leveson, Nancy; Daouk, Mirna; Dulac, Nicolas; Marais, Karen

    2003-01-01

    Accident models play a critical role in accident investigation and analysis. Most traditional models are based on an underlying chain of events. These models, however, have serious limitations when used for complex, socio-technical systems. Previously, Leveson proposed a new accident model (STAMP) based on system theory. In STAMP, the basic concept is not an event but a constraint. This paper shows how STAMP can be applied to accident analysis using three different views or models of the accident process and proposes a notation for describing this process.

  3. Situated Analysis of Team Handball Players' Decisions: An Exploratory Study

    ERIC Educational Resources Information Center

    Lenzen, Benoit; Theunissen, Catherine; Cloes, Marc

    2009-01-01

    This exploratory study aimed to investigate elements involved in decision making in team handball live situations and to provide coaches and educators with teaching recommendations. The study was positioned within the framework of the situated-action paradigm of which two aspects were of particular interest for this project: (a) the relationship…

  4. Discussing Medicare Physician Productivity and the Exploratory Analysis

    PubMed Central

    Dyckman, Zachary; Harper, Michael; McMenamin, Peter

    2007-01-01

    This article provides comments of three conference panel members on the analyses of the productivity adjustment used in the Medicare Economic Index (MEI), and on exploratory estimates of physician-specific productivity measures. Each has a different background and perspective. PMID:18435222

  5. Exploratory Factor Analysis of SRS-2 Teacher Ratings for Youth with ASD.

    PubMed

    Nelson, Andrew T; Lopata, Christopher; Volker, Martin A; Thomeer, Marcus L; Toomey, Jennifer A; Dua, Elissa

    2016-09-01

    This study examined the factor structure and internal consistency of special education teaching staff ratings on the Social Responsiveness Scale-2 (SRS-2; Constantino and Gruber 2012), as well as the percentage of ratings falling above pre-established cut scores, for a sample of lower-functioning youth with autism spectrum disorder (ASD; n = 264). Results of the exploratory factor analysis yielded a four-factor correlated solution. The individual factors and total score demonstrated satisfactory internal consistency reliability for screening purposes. When applying the lowest pre-established cut score (T ≥ 60; minimum indication of clinically significant symptoms/impairments), 85 % of the sample had ratings in that range or higher (more severe). Implications for assessment and future research are provided.

  6. Permutation methods for the structured exploratory data analysis (SEDA) of familial trait values.

    PubMed

    Karlin, S; Williams, P T

    1984-07-01

    A collection of functions that contrast familial trait values between and across generations is proposed for studying transmission effects and other collateral influences in nuclear families. Two classes of structured exploratory data analysis (SEDA) statistics are derived from ratios of these functions. SEDA-functionals are the empirical cumulative distributions of the ratio of the two contrasts computed within each family. SEDA-indices are formed by first averaging the numerator and denominator contrasts separately over the population and then forming their ratio. The significance of SEDA results are determined by a spectrum of permutation techniques that selectively shuffle the trait values across families. The process systematically alters certain family structure relationships while keeping other familial relationships intact. The methodology is applied to five data examples of plasma total cholesterol concentrations, reported height values, dermatoglyphic pattern intensity index scores, measurements of dopamine-beta-hydroxylase activity, and psychometric cognitive test results.

  7. Exploratory Factor Analysis of SRS-2 Teacher Ratings for Youth with ASD.

    PubMed

    Nelson, Andrew T; Lopata, Christopher; Volker, Martin A; Thomeer, Marcus L; Toomey, Jennifer A; Dua, Elissa

    2016-09-01

    This study examined the factor structure and internal consistency of special education teaching staff ratings on the Social Responsiveness Scale-2 (SRS-2; Constantino and Gruber 2012), as well as the percentage of ratings falling above pre-established cut scores, for a sample of lower-functioning youth with autism spectrum disorder (ASD; n = 264). Results of the exploratory factor analysis yielded a four-factor correlated solution. The individual factors and total score demonstrated satisfactory internal consistency reliability for screening purposes. When applying the lowest pre-established cut score (T ≥ 60; minimum indication of clinically significant symptoms/impairments), 85 % of the sample had ratings in that range or higher (more severe). Implications for assessment and future research are provided. PMID:27334872

  8. Higher-order co-occurrences for exploratory point pattern analysis and decision tree clustering on spatial data

    NASA Astrophysics Data System (ADS)

    Leibovici, D. G.; Bastin, L.; Jackson, M.

    2011-03-01

    Analyzing geographical patterns by collocating events, objects or their attributes has a long history in surveillance and monitoring, and is particularly applied in environmental contexts, such as ecology or epidemiology. The identification of patterns or structures at some scales can be addressed using spatial statistics, particularly marked point processes methodologies. Classification and regression trees are also related to this goal of finding "patterns" by deducing the hierarchy of influence of variables on a dependent outcome. Such variable selection methods have been applied to spatial data, but, often without explicitly acknowledging the spatial dependence. Many methods routinely used in exploratory point pattern analysis are2nd-order statistics, used in a univariate context, though there is also a wide literature on modelling methods for multivariate point pattern processes. This paper proposes an exploratory approach for multivariate spatial data using higher-order statistics built from co-occurrences of events or marks given by the point processes. A spatial entropy measure, derived from these multinomial distributions of co-occurrences at a given order, constitutes the basis of the proposed exploratory methods.

  9. A computational framework for exploratory data analysis in biomedical imaging

    NASA Astrophysics Data System (ADS)

    Wismueller, Axel

    2009-02-01

    Purpose: To develop, test, and evaluate a novel unsupervised machine learning method for the analysis of multidimensional biomedical imaging data. Methods: The Exploration Machine (XOM) is introduced as a method for computing low-dimensional representations of high-dimensional observations. XOM systematically inverts functional and structural components of topology-preserving mappings. Thus, it can contribute to both structure-preserving visualization and data clustering. We applied XOM to the analysis of microarray imaging data of gene expression profiles in Saccharomyces cerevisiae, and to model-free analysis of functional brain MRI data by unsupervised clustering. For both applications, we performed quantitative comparisons to results obtained by established algorithms. Results: Genome data: Absolute (relative) Sammon error values were 2.21 Â. 103 (1.00) for XOM, 2.45 Â. 103 (1.11) for Sammon's mapping, 2.77 Â. 103 (1.25) for Locally Linear Embedding (LLE), 2.82 Â. 103 (1.28) for PCA, 3.36 Â. 103 (1.52) for Isomap, and 10.19 Â. 103(4.61) for Self-Organizing Map (SOM). - Functional MRI data: Areas under ROC curves for detection of task-related brain activation were 0.984 +/- 0.03 for XOM, 0.983 +/- 0.02 for Minimal-Free-Energy VQ, and 0.979 +/- 0.02 for SOM. Conclusion: We introduce the Exploration Machine as a novel machine learning method for the analysis of multidimensional biomedical imaging data. XOM can be successfully applied to microarray gene expression analysis and to clustering of functional brain MR image time-series. By simultaneously contributing to dimensionality reduction and data clustering, XOM is a useful novel method for data analysis in biomedical imaging.

  10. Multimedia Exploratory Data Analysis for Geospatial Data Mining: The Case for Augmented Seriation.

    ERIC Educational Resources Information Center

    Gluck, Myke

    2001-01-01

    Reviews the role of exploratory data analysis (EDA) for spatial data mining and presents a case study addressing environmental risk assessments in New York State to illustrate the feasibility and usability of augmenting seriation for spatial data analysis. Describes augmentation with multimedia tools to understand relationships among spatial,…

  11. An Exploratory Factor Analysis Examining Traits, Perceived Fit and Job Satisfaction in Employed College Graduates

    ERIC Educational Resources Information Center

    Brandon, John R.

    2011-01-01

    This study is an analysis of 24 variables associated with employee attitudes, behaviors and outcomes. A total of 140 college graduates participated in the study. Utilizing exploratory factor analysis (EFA) techniques, the research examined relationships among the following variables: perceived fit, job satisfaction, cognitive ability, vocational…

  12. Confirmatory and Exploratory Factor Analysis for Validating the Phlegm Pattern Questionnaire for Healthy Subjects

    PubMed Central

    Kim, Hyunho; Ku, Boncho; Kim, Jong Yeol; Park, Young-Jae

    2016-01-01

    Background. Phlegm pattern questionnaire (PPQ) was developed to evaluate and diagnose phlegm pattern in Korean Medicine and Traditional Chinese Medicine, but it was based on a dataset from patients who visited the hospital to consult with a clinician regarding their health without any strict exclusion or inclusion. In this study, we reinvestigated the construct validity of PPQ with a new dataset and confirmed the feasibility of applying it to a healthy population. Methods. 286 healthy subjects were finally included and their responses to PPQ were acquired. Confirmatory factor analysis (CFA) was conducted and the model fit was discussed. We extracted a new factor structure by exploratory factor analysis (EFA) and compared the two factor structures. Results. In CFA results, the model fit indices are acceptable (RMSEA = 0.074) or slightly less than the good fit values (CFI = 0.839, TLI = 0.860). Many average variances extracted were smaller than the correlation coefficients of the factors, which shows the somewhat insufficient discriminant validity. Conclusions. Through the results from CFA and EFA, this study shows clinically acceptable model fits and suggests the feasibility of applying PPQ to a healthy population with relatively good construct validity and internal consistency. PMID:27051447

  13. Applying HOPSCOTCH as an Exer-Learning Game in English Lessons: Two Exploratory Studies

    ERIC Educational Resources Information Center

    Lucht, Martina; Heidig, Steffi

    2013-01-01

    This article describes HOPSCOTCH, a design concept for an "exer-learning game" to engage elementary school children in learning. Exer-learning is a new genre of digital learning games that combines playing and learning with physical activity (exercise). HOPSCOTCH is a first design concept for exer-learning games that can be applied to…

  14. Exploratory Analysis of Spatial-Temporal Patterns of Air Pollution in the City

    NASA Astrophysics Data System (ADS)

    Champendal, Alexandre; Kanevski, Mikhail; Huguenot, Pierre-Emmanuel; Golay, Jean

    2013-04-01

    Air pollution in the city is an important problem influencing environment, well-being of society, economy, management of urban zones, etc. The problem is extremely difficult due to a very complex distribution of the pollution sources, morphology of the city and dispersion processes leading to multivariate nature of the phenomena and high local spatial-temporal variability. The task of understanding, modelling and prediction of spatial-temporal patterns of air pollution in urban zones is an interesting and challenging topic having many research axes from science-based modelling to geostatistics and data mining. The present research mainly deals with a comprehensive exploratory analysis of spatial-temporal air pollution data using statistical, geostatistical and machine learning tools. This analysis helps to 1) understand and model spatial-temporal correlations using variography, 2) explore the temporal evolution of spatial correlation matrix; 3) analyse and visualize an interconnection between measurement stations using network science tools; 4) quantify the availability and predictability of structured patterns. The real data case study deals with spatial-temporal air pollution data of canton Geneva (2002-2011). Carbon dioxide (NO2) have caught our attention. It has effects on health: nitrogen dioxide can irritate the lungs, effects on plants; NO2 contributes to the phenomenon of acid rain. The negative effects of nitrogen dioxides on plants are reducing the growth, production and pesticide resistance. And finally the effects on materials: nitrogen dioxides increase the corrosion. Well-defined patterns of spatial-temporal correlations were detected. The analysis and visualization of spatial correlation matrix for 91 stations were carried out using the network science tools and high levels of clustering were revealed. Moving Window Correlation Matrix and Spatio-temporal variography methods were applied to define and explore the dynamic of our data. More than just

  15. Conversation Analysis and Applied Linguistics.

    ERIC Educational Resources Information Center

    Schegloff, Emanuel A.; Koshik, Irene; Jacoby, Sally; Olsher, David

    2002-01-01

    Offers biographical guidance on several major areas of conversation-analytic work--turn-taking, repair, and word selection--and indicates past or potential points of contact with applied linguistics. Also discusses areas of applied linguistic work. (Author/VWL)

  16. Multilevel Exploratory Factor Analysis: Illustrating Its Surplus Value in Educational Effectiveness Research

    ERIC Educational Resources Information Center

    D'Haenens, Ellen; Van Damme, Jan; Onghena, Patrick

    2010-01-01

    This paper illustrates the surplus value of multilevel exploratory factor analysis in educational effectiveness research. Educational researchers often use measures for process variables at the class or school level to explain differences in student outcomes. Recently, van de Vijver and Poortinga (2002) have developed a procedure for multilevel…

  17. An Exploratory Analysis of Communication in Peer-Directed Educational Discourse

    ERIC Educational Resources Information Center

    Gibbs, William J.

    2009-01-01

    This exploratory analysis examined the nature of asynchronous, text-based communication in peer-directed educational discussions. The nature of communication changed over time and women exhibited greater tendency for epistolary communication than men. Initial posts, which were expository in nature, focused on disseminating information whereas…

  18. An Exploratory Analysis of What Truant Students State Are the Reasons They Do Not Attend School

    ERIC Educational Resources Information Center

    White, Joseph, Jr.

    2009-01-01

    Purpose. The purpose of this study in Phases 1 and 2 was to conduct an exploratory analysis of what chronically truant students state are the reasons they do not attend school. Methodology. The subjects in this study were 202 randomly selected students from four high schools in Los Angeles County. Subjects responded to the research instrument: (1)…

  19. Ordinary Least Squares Estimation of Parameters in Exploratory Factor Analysis with Ordinal Data

    ERIC Educational Resources Information Center

    Lee, Chun-Ting; Zhang, Guangjian; Edwards, Michael C.

    2012-01-01

    Exploratory factor analysis (EFA) is often conducted with ordinal data (e.g., items with 5-point responses) in the social and behavioral sciences. These ordinal variables are often treated as if they were continuous in practice. An alternative strategy is to assume that a normally distributed continuous variable underlies each ordinal variable.…

  20. The Relationship of Bureaucratic Structure to School Climate: An Exploratory Factor Analysis of Construct Validity

    ERIC Educational Resources Information Center

    Lennon, Patricia A.

    2010-01-01

    This researcher examined the relationship of bureaucratic structure to school climate by means of an exploratory factor analysis of a measure of bureaucracy developed by Hoy and Sweetland (2000) and the four dimensional measure of climate developed by Hoy, Smith, and Sweetland (2002). Since there had been no other empirical studies whose authors…

  1. Improving Your Exploratory Factor Analysis for Ordinal Data: A Demonstration Using FACTOR

    ERIC Educational Resources Information Center

    Baglin, James

    2014-01-01

    Exploratory factor analysis (EFA) methods are used extensively in the field of assessment and evaluation. Due to EFA's widespread use, common methods and practices have come under close scrutiny. A substantial body of literature has been compiled highlighting problems with many of the methods and practices used in EFA, and, in response, many…

  2. Application of Local Linear Embedding to Nonlinear Exploratory Latent Structure Analysis

    ERIC Educational Resources Information Center

    Wang, Haonan; Iyer, Hari

    2007-01-01

    In this paper we discuss the use of a recent dimension reduction technique called Locally Linear Embedding, introduced by Roweis and Saul, for performing an exploratory latent structure analysis. The coordinate variables from the locally linear embedding describing the manifold on which the data reside serve as the latent variable scores. We…

  3. Unmanned Multiple Exploratory Probe System (MEPS) for Mars observation. Volume 1: Trade analysis and design

    NASA Technical Reports Server (NTRS)

    Adams, Daniel E.; Crumbly, Christopher M.; Delp, Steve E.; Guidry, Michelle A.; Lisano, Michael E.; Packard, James D.; Striepe, Scott A.

    1988-01-01

    This report presents the unmanned Multiple Exploratory Probe Systems (MEPS), a space vehicle designed to observe the planet Mars in preparation for manned missions. The options considered for each major element are presented as a trade analysis, and the final vehicle design is defined.

  4. An Exploratory Factor Analysis of the URICA among Couple Therapy Participants

    ERIC Educational Resources Information Center

    Tambling, Rachel B.; Johnson, Lee N.

    2012-01-01

    Assessing and measuring client motivation to change has been of great interest to therapists and researchers in a variety of fields. This article presents the results of an exploratory factor analysis of the University of Rhode Island Change Assessment (URICA), a measure of motivation to change, in a sample of individuals in couple therapy. Four…

  5. The School Counseling Program Implementation Survey: Initial Instrument Development and Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Clemens, Elysia V.; Carey, John C.; Harrington, Karen M.

    2010-01-01

    This article details the initial development of the School Counseling Program Implementation Survey and psychometric results including reliability and factor structure. An exploratory factor analysis revealed a three-factor model that accounted for 54% of the variance of the intercorrelation matrix and a two-factor model that accounted for 47% of…

  6. The School Counselor Leadership Survey: Instrument Development and Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Young, Anita; Bryan, Julia

    2015-01-01

    This study examined the factor structure of the School Counselor Leadership Survey (SCLS). Survey development was a threefold process that resulted in a 39-item survey of 801 school counselors and school counselor supervisors. The exploratory factor analysis indicated a five-factor structure that revealed five key dimensions of school counselor…

  7. A Psychometric Investigation of the Multicultural and Special Education Survey: An Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Utley, Cheryl A.

    2011-01-01

    An exploratory factorial analysis of the Multicultural and Special Education Survey (MSES) evaluated the professional development training needs of general and special educators in a midwestern state. Survey items were selected from the culturally and linguistically diverse multicultural, bilingual and special education literature bases (CLD). The…

  8. High-Dimensional Exploratory Item Factor Analysis by a Metropolis-Hastings Robbins-Monro Algorithm

    ERIC Educational Resources Information Center

    Cai, Li

    2010-01-01

    A Metropolis-Hastings Robbins-Monro (MH-RM) algorithm for high-dimensional maximum marginal likelihood exploratory item factor analysis is proposed. The sequence of estimates from the MH-RM algorithm converges with probability one to the maximum likelihood solution. Details on the computer implementation of this algorithm are provided. The…

  9. Development of an Instrument to Measure Student Use of Academic Success Skills: An Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Carey, John; Brigman, Greg; Webb, Linda; Villares, Elizabeth; Harrington, Karen

    2014-01-01

    This article describes the development of the Student Engagement in School Success Skills instrument including item development and exploratory factor analysis. The instrument was developed to measure student use of the skills and strategies identified as most critical for long-term school success that are typically taught by school counselors.

  10. Selection of Variables in Exploratory Factor Analysis: An Empirical Comparison of a Stepwise and Traditional Approach

    ERIC Educational Resources Information Center

    Hogarty, Kristine Y.; Kromrey, Jeffrey D.; Ferron, John M.; Hines, Constance V.

    2004-01-01

    The purpose of this study was to investigate and compare the performance of a stepwise variable selection algorithm to traditional exploratory factor analysis. The Monte Carlo study included six factors in the design; the number of common factors; the number of variables explained by the common factors; the magnitude of factor loadings; the number…

  11. Bootstrap Confidence Intervals for Ordinary Least Squares Factor Loadings and Correlations in Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Zhang, Guangjian; Preacher, Kristopher J.; Luo, Shanhong

    2010-01-01

    This article is concerned with using the bootstrap to assign confidence intervals for rotated factor loadings and factor correlations in ordinary least squares exploratory factor analysis. Coverage performances of "SE"-based intervals, percentile intervals, bias-corrected percentile intervals, bias-corrected accelerated percentile intervals, and…

  12. Investigating the Structure of the WJ-III Cognitive in Early School Age through Two Exploratory Bifactor Analysis Procedures

    ERIC Educational Resources Information Center

    Dombrowski, Stefan C.

    2014-01-01

    Two exploratory bifactor methods (e.g., Schmid-Leiman [SL] and exploratory bifactor analysis [EBFA]) were used to investigate the structure of the Woodcock-Johnson III (WJ-III) Cognitive in early school age (age 6-8). The SL procedure is recognized by factor analysts as a preferred method for EBFA. Jennrich and Bentler recently developed an…

  13. Exploratory Climate Data Visualization and Analysis Using DV3D and UVCDAT

    NASA Technical Reports Server (NTRS)

    Maxwell, Thomas

    2012-01-01

    Earth system scientists are being inundated by an explosion of data generated by ever-increasing resolution in both global models and remote sensors. Advanced tools for accessing, analyzing, and visualizing very large and complex climate data are required to maintain rapid progress in Earth system research. To meet this need, NASA, in collaboration with the Ultra-scale Visualization Climate Data Analysis Tools (UVCOAT) consortium, is developing exploratory climate data analysis and visualization tools which provide data analysis capabilities for the Earth System Grid (ESG). This paper describes DV3D, a UV-COAT package that enables exploratory analysis of climate simulation and observation datasets. OV3D provides user-friendly interfaces for visualization and analysis of climate data at a level appropriate for scientists. It features workflow inte rfaces, interactive 40 data exploration, hyperwall and stereo visualization, automated provenance generation, and parallel task execution. DV30's integration with CDAT's climate data management system (COMS) and other climate data analysis tools provides a wide range of high performance climate data analysis operations. DV3D expands the scientists' toolbox by incorporating a suite of rich new exploratory visualization and analysis methods for addressing the complexity of climate datasets.

  14. Aging Chart: a community resource for rapid exploratory pathway analysis of age-related processes.

    PubMed

    Moskalev, Alexey; Zhikrivetskaya, Svetlana; Shaposhnikov, Mikhail; Dobrovolskaya, Evgenia; Gurinovich, Roman; Kuryan, Oleg; Pashuk, Aleksandr; Jellen, Leslie C; Aliper, Alex; Peregudov, Alex; Zhavoronkov, Alex

    2016-01-01

    Aging research is a multi-disciplinary field encompassing knowledge from many areas of basic, applied and clinical research. Age-related processes occur on molecular, cellular, tissue, organ, system, organismal and even psychological levels, trigger the onset of multiple debilitating diseases and lead to a loss of function, and there is a need for a unified knowledge repository designed to track, analyze and visualize the cause and effect relationships and interactions between the many elements and processes on all levels. Aging Chart (http://agingchart.org/) is a new, community-curated collection of aging pathways and knowledge that provides a platform for rapid exploratory analysis. Building on an initial content base constructed by a team of experts from peer-reviewed literature, users can integrate new data into biological pathway diagrams for a visible, intuitive, top-down framework of aging processes that fosters knowledge-building and collaboration. As the body of knowledge in aging research is rapidly increasing, an open visual encyclopedia of aging processes will be useful to both the new entrants and experts in the field. PMID:26602690

  15. Aging Chart: a community resource for rapid exploratory pathway analysis of age-related processes.

    PubMed

    Moskalev, Alexey; Zhikrivetskaya, Svetlana; Shaposhnikov, Mikhail; Dobrovolskaya, Evgenia; Gurinovich, Roman; Kuryan, Oleg; Pashuk, Aleksandr; Jellen, Leslie C; Aliper, Alex; Peregudov, Alex; Zhavoronkov, Alex

    2016-01-01

    Aging research is a multi-disciplinary field encompassing knowledge from many areas of basic, applied and clinical research. Age-related processes occur on molecular, cellular, tissue, organ, system, organismal and even psychological levels, trigger the onset of multiple debilitating diseases and lead to a loss of function, and there is a need for a unified knowledge repository designed to track, analyze and visualize the cause and effect relationships and interactions between the many elements and processes on all levels. Aging Chart (http://agingchart.org/) is a new, community-curated collection of aging pathways and knowledge that provides a platform for rapid exploratory analysis. Building on an initial content base constructed by a team of experts from peer-reviewed literature, users can integrate new data into biological pathway diagrams for a visible, intuitive, top-down framework of aging processes that fosters knowledge-building and collaboration. As the body of knowledge in aging research is rapidly increasing, an open visual encyclopedia of aging processes will be useful to both the new entrants and experts in the field.

  16. Aging Chart: a community resource for rapid exploratory pathway analysis of age-related processes

    PubMed Central

    Moskalev, Alexey; Zhikrivetskaya, Svetlana; Shaposhnikov, Mikhail; Dobrovolskaya, Evgenia; Gurinovich, Roman; Kuryan, Oleg; Pashuk, Aleksandr; Jellen, Leslie C.; Aliper, Alex; Peregudov, Alex; Zhavoronkov, Alex

    2016-01-01

    Aging research is a multi-disciplinary field encompassing knowledge from many areas of basic, applied and clinical research. Age-related processes occur on molecular, cellular, tissue, organ, system, organismal and even psychological levels, trigger the onset of multiple debilitating diseases and lead to a loss of function, and there is a need for a unified knowledge repository designed to track, analyze and visualize the cause and effect relationships and interactions between the many elements and processes on all levels. Aging Chart (http://agingchart.org/) is a new, community-curated collection of aging pathways and knowledge that provides a platform for rapid exploratory analysis. Building on an initial content base constructed by a team of experts from peer-reviewed literature, users can integrate new data into biological pathway diagrams for a visible, intuitive, top-down framework of aging processes that fosters knowledge-building and collaboration. As the body of knowledge in aging research is rapidly increasing, an open visual encyclopedia of aging processes will be useful to both the new entrants and experts in the field. PMID:26602690

  17. Using Interactive Data Visualizations for Exploratory Analysis in Undergraduate Genomics Coursework: Field Study Findings and Guidelines

    PubMed Central

    Kumar, Anuj; Nong, Paige; Su, Gang; Meng, Fan

    2016-01-01

    Life scientists increasingly use visual analytics to explore large data sets and generate hypotheses. Undergraduate biology majors should be learning these same methods. Yet visual analytics is one of the most underdeveloped areas of undergraduate biology education. This study sought to determine the feasibility of undergraduate biology majors conducting exploratory analysis using the same interactive data visualizations as practicing scientists. We examined 22 upper level undergraduates in a genomics course as they engaged in a case-based inquiry with an interactive heat map. We qualitatively and quantitatively analyzed students’ visual analytic behaviors, reasoning and outcomes to identify student performance patterns, commonly shared efficiencies and task completion. We analyzed students’ successes and difficulties in applying knowledge and skills relevant to the visual analytics case and related gaps in knowledge and skill to associated tool designs. Findings show that undergraduate engagement in visual analytics is feasible and could be further strengthened through tool usability improvements. We identify these improvements. We speculate, as well, on instructional considerations that our findings suggested may also enhance visual analytics in case-based modules. PMID:26877625

  18. Using Interactive Data Visualizations for Exploratory Analysis in Undergraduate Genomics Coursework: Field Study Findings and Guidelines

    NASA Astrophysics Data System (ADS)

    Mirel, Barbara; Kumar, Anuj; Nong, Paige; Su, Gang; Meng, Fan

    2016-02-01

    Life scientists increasingly use visual analytics to explore large data sets and generate hypotheses. Undergraduate biology majors should be learning these same methods. Yet visual analytics is one of the most underdeveloped areas of undergraduate biology education. This study sought to determine the feasibility of undergraduate biology majors conducting exploratory analysis using the same interactive data visualizations as practicing scientists. We examined 22 upper level undergraduates in a genomics course as they engaged in a case-based inquiry with an interactive heat map. We qualitatively and quantitatively analyzed students' visual analytic behaviors, reasoning and outcomes to identify student performance patterns, commonly shared efficiencies and task completion. We analyzed students' successes and difficulties in applying knowledge and skills relevant to the visual analytics case and related gaps in knowledge and skill to associated tool designs. Findings show that undergraduate engagement in visual analytics is feasible and could be further strengthened through tool usability improvements. We identify these improvements. We speculate, as well, on instructional considerations that our findings suggested may also enhance visual analytics in case-based modules.

  19. An exploratory spatial analysis of soil organic carbon distribution in Canadian eco-regions

    NASA Astrophysics Data System (ADS)

    Tan, S.-Y.; Li, J.

    2014-11-01

    As the largest carbon reservoir in ecosystems, soil accounts for more than twice as much carbon storage as that of vegetation biomass or the atmosphere. This paper examines spatial patterns of soil organic carbon (SOC) in Canadian forest areas at an eco-region scale of analysis. The goal is to explore the relationship of SOC levels with various climatological variables, including temperature and precipitation. The first Canadian forest soil database published in 1997 by the Canada Forest Service was analyzed along with other long-term eco-climatic data (1961 to 1991) including precipitation, air temperature, slope, aspect, elevation, and Normalized Difference Vegetation Index (NDVI) derived from remote sensing imagery. In addition, the existing eco-region framework established by Environment Canada was evaluated for mapping SOC distribution. Exploratory spatial data analysis techniques, including spatial autocorrelation analysis, were employed to examine how forest SOC is spatially distributed in Canada. Correlation analysis and spatial regression modelling were applied to determine the dominant ecological factors influencing SOC patterns at the eco-region level. At the national scale, a spatial error regression model was developed to account for spatial dependency and to estimate SOC patterns based on ecological and ecosystem factors. Based on the significant variables derived from the spatial error model, a predictive SOC map in Canadian forest areas was generated. Although overall SOC distribution is influenced by climatic and topographic variables, distribution patterns are shown to differ significantly between eco-regions. These findings help to validate the eco-region classification framework for SOC zonation mapping in Canada.

  20. A Brief History of the Philosophical Foundations of Exploratory Factor Analysis.

    PubMed

    Mulaik, S A

    1987-07-01

    Exploratory factor analysis derives its key ideas from many sources. From the Greek rationalists and atomists comes the idea that appearance is to be explained by something not observed. From Aristotle comes the idea of induction and seeking common features of things as explanations of them. From Francis Bacon comes the idea of an automatic algorithm for inductively discovering common causes. From Descartes come the ideas of analysis and synthesis that underlie the emphasis on analysis of variables into orthogonal or linearly independent factors and focus on reproducing (synthesizing) the correlation matrix from the factors. From empiricist statisticians like Pearson and Yule comes the idea of exploratory, descriptive statistics. Also from the empiricist heritage comes the false expectation some have that factor analysis yields unique and unambiguous knowledge without prior assumptions -- the inductivist fallacy. This expectation founders on the indeterminacy of factors, even after their loadings are defined by rotation. Indeterminacy is unavoidable in the interpretation of common factors because the process of interpretation is inductive and inductive inferences are not uniquely determined by the data on which they are based. But from Kant we learn not to discard inductive inferences but to treat them as hypotheses that must be tested against additional data to establish their objectivity. And so the conclusions of exploratory factor analyses are never complete without a subsequent confirmatory analysis with additional variables and new data. PMID:26776378

  1. A Brief History of the Philosophical Foundations of Exploratory Factor Analysis.

    PubMed

    Mulaik, S A

    1987-07-01

    Exploratory factor analysis derives its key ideas from many sources. From the Greek rationalists and atomists comes the idea that appearance is to be explained by something not observed. From Aristotle comes the idea of induction and seeking common features of things as explanations of them. From Francis Bacon comes the idea of an automatic algorithm for inductively discovering common causes. From Descartes come the ideas of analysis and synthesis that underlie the emphasis on analysis of variables into orthogonal or linearly independent factors and focus on reproducing (synthesizing) the correlation matrix from the factors. From empiricist statisticians like Pearson and Yule comes the idea of exploratory, descriptive statistics. Also from the empiricist heritage comes the false expectation some have that factor analysis yields unique and unambiguous knowledge without prior assumptions -- the inductivist fallacy. This expectation founders on the indeterminacy of factors, even after their loadings are defined by rotation. Indeterminacy is unavoidable in the interpretation of common factors because the process of interpretation is inductive and inductive inferences are not uniquely determined by the data on which they are based. But from Kant we learn not to discard inductive inferences but to treat them as hypotheses that must be tested against additional data to establish their objectivity. And so the conclusions of exploratory factor analyses are never complete without a subsequent confirmatory analysis with additional variables and new data.

  2. Practical Considerations for Using Exploratory Factor Analysis in Educational Research

    ERIC Educational Resources Information Center

    Beavers, Amy S.; Lounsbury, John W.; Richards, Jennifer K.; Huck, Schuyler W.; Skolits, Gary J.; Esquivel, Shelley L.

    2013-01-01

    The uses and methodology of factor analysis are widely debated and discussed, especially the issues of rotational use, methods of confirmatory factor analysis, and adequate sample size. The variety of perspectives and often conflicting opinions can lead to confusion among researchers about best practices for using factor analysis. The focus of the…

  3. Exploratory Factor Analysis of Diagnostic and Statistical Manual, 5th Edition, Criteria for Posttraumatic Stress Disorder.

    PubMed

    McSweeney, Lauren B; Koch, Ellen I; Saules, Karen K; Jefferson, Stephen

    2016-01-01

    One change to the posttraumatic stress disorder (PTSD) nomenclature highlighted in the Diagnostic and Statistical Manual, 5th Edition (DSM-5; American Psychiatric Association, 2013) is the conceptualization of PTSD as a diagnostic category with four distinct symptom clusters. This article presents exploratory factor analysis to test the structural validity of the DSM-5 conceptualization of PTSD via an online survey that included the PTSD Checklist-5. The study utilized a sample of 113 college students from a large Midwestern university and 177 Amazon Mechanical Turk users. Participants were primarily female, Caucasian, single, and heterosexual with an average age of 32 years. Approximately 30% to 35% of participants met diagnostic criteria for PTSD based on two different scoring criteria. Results of the exploratory factor analysis revealed five distinct symptom clusters. The implications for the classification of PTSD are discussed.

  4. Exploratory factor analysis of self-reported symptoms in a large, population-based military cohort

    PubMed Central

    2010-01-01

    Background US military engagements have consistently raised concern over the array of health outcomes experienced by service members postdeployment. Exploratory factor analysis has been used in studies of 1991 Gulf War-related illnesses, and may increase understanding of symptoms and health outcomes associated with current military conflicts in Iraq and Afghanistan. The objective of this study was to use exploratory factor analysis to describe the correlations among numerous physical and psychological symptoms in terms of a smaller number of unobserved variables or factors. Methods The Millennium Cohort Study collects extensive self-reported health data from a large, population-based military cohort, providing a unique opportunity to investigate the interrelationships of numerous physical and psychological symptoms among US military personnel. This study used data from the Millennium Cohort Study, a large, population-based military cohort. Exploratory factor analysis was used to examine the covariance structure of symptoms reported by approximately 50,000 cohort members during 2004-2006. Analyses incorporated 89 symptoms, including responses to several validated instruments embedded in the questionnaire. Techniques accommodated the categorical and sometimes incomplete nature of the survey data. Results A 14-factor model accounted for 60 percent of the total variance in symptoms data and included factors related to several physical, psychological, and behavioral constructs. A notable finding was that many factors appeared to load in accordance with symptom co-location within the survey instrument, highlighting the difficulty in disassociating the effects of question content, location, and response format on factor structure. Conclusions This study demonstrates the potential strengths and weaknesses of exploratory factor analysis to heighten understanding of the complex associations among symptoms. Further research is needed to investigate the relationship between

  5. Exploratory data analysis of the dependencies between skin permeability, molecular weight and log P.

    PubMed

    Kilian, D; Lemmer, H J R; Gerber, M; du Preez, J L; du Plessis, J

    2016-06-01

    Molecular weight and log P remain the most frequently used physicochemical properties in models that predict skin permeability. However, several reports over the past two decades have suggested that predictions made by these models may not be sufficiently accurate. In this study, exploratory data analysis of the probabilistic dependencies between molecular weight, log P and log Kp was performed on a dataset constructed from the combination of several popular datasets. The results suggest that, in general, molecular weight and log P are poorly correlated to log Kp. However, after employing several exploratory data analysis techniques, regions within the dataset of statistically significant dependence were identified. As an example of the applicability of the information extracted from the exploratory data analyses, a multiple linear regression model was constructed, bounded by the ranges of dependence. This model gave reasonable approximations to log Kp values obtained from skin permeability studies of selected non-steroidal ant-inflammatory drugs (NSAIDs) administered from a buffer solution and a lipid-based drug delivery system. A method of testing whether a given drug falls within the regions of statistical dependence was also presented. Knowing the ranges within which molecular weight and log P are statistically related to log Kp can supplement existing methods of screening, risk analysis or early drug development decision making to add confidence to predictions made regarding skin permeability.

  6. Exploratory data analysis of the dependencies between skin permeability, molecular weight and log P.

    PubMed

    Kilian, D; Lemmer, H J R; Gerber, M; du Preez, J L; du Plessis, J

    2016-06-01

    Molecular weight and log P remain the most frequently used physicochemical properties in models that predict skin permeability. However, several reports over the past two decades have suggested that predictions made by these models may not be sufficiently accurate. In this study, exploratory data analysis of the probabilistic dependencies between molecular weight, log P and log Kp was performed on a dataset constructed from the combination of several popular datasets. The results suggest that, in general, molecular weight and log P are poorly correlated to log Kp. However, after employing several exploratory data analysis techniques, regions within the dataset of statistically significant dependence were identified. As an example of the applicability of the information extracted from the exploratory data analyses, a multiple linear regression model was constructed, bounded by the ranges of dependence. This model gave reasonable approximations to log Kp values obtained from skin permeability studies of selected non-steroidal ant-inflammatory drugs (NSAIDs) administered from a buffer solution and a lipid-based drug delivery system. A method of testing whether a given drug falls within the regions of statistical dependence was also presented. Knowing the ranges within which molecular weight and log P are statistically related to log Kp can supplement existing methods of screening, risk analysis or early drug development decision making to add confidence to predictions made regarding skin permeability. PMID:27455549

  7. Metaphors as Vehicles of Knowledge: An Exploratory Analysis

    ERIC Educational Resources Information Center

    Ferrara, Francesca

    2003-01-01

    The paper considers a teaching experiment carried out with secondary school students (9th grade), who face modelling tasks to approach some basic concepts of algebra and early calculus. The focus is on an embodied analysis of students' cognitive processes. The analysis highlights the use of metaphors as a means of sharing knowledge. (Contains 2…

  8. Exploratory Factor Analysis of a Force Concept Inventory Data Set

    ERIC Educational Resources Information Center

    Scott, Terry F.; Schumayer, Daniel; Gray, Andrew R.

    2012-01-01

    We perform a factor analysis on a "Force Concept Inventory" (FCI) data set collected from 2109 respondents. We address two questions: the appearance of conceptual coherence in student responses to the FCI and some consequences of this factor analysis on the teaching of Newtonian mechanics. We will highlight the apparent conflation of Newton's…

  9. Exploratory Multivariate Analysis of Variance: Contrasts and Variables.

    ERIC Educational Resources Information Center

    Barcikowski, Robert S.; Elliott, Ronald S.

    The contribution of individual variables to overall multivariate significance in a multivariate analysis of variance (MANOVA) is investigated using a combination of canonical discriminant analysis and Roy-Bose simultaneous confidence intervals. Difficulties with this procedure are discussed, and its advantages are illustrated using examples based…

  10. Googling Stroke ASPECTS to Determine Disability: Exploratory Analysis from VISTA-Acute Collaboration

    PubMed Central

    Beare, Richard; Chen, Jian; Phan, Thanh G.

    2015-01-01

    The summed Alberta Stroke Program Early CT Score (ASPECTS) is useful for predicting stroke outcome. The anatomical information in the CT template is rarely used for this purpose because traditional regression methods are not adept at handling collinearity (relatedness) among brain regions. While penalized logistic regression (PLR) can handle collinearity, it does not provide an intuitive understanding of the interaction among network structures in a way that eigenvector method such as PageRank can (used in Google search engine). In this exploratory analysis we applied graph theoretical analysis to explore the relationship among ASPECTS regions with respect to disability outcome. The Virtual International Stroke Trials Archive (VISTA) was searched for patients who had infarct in at least one ASPECTS region (ASPECTS ≤9, ASPECTS=10 were excluded), and disability (modified Rankin score/mRS). A directed graph was created from a cross correlation matrix (thresholded at false discovery rate of 0.01) of the ASPECTS regions and demographic variables and disability (mRS>2). We estimated the network-based importance of each ASPECTS region by comparing PageRank and node strength measures. These results were compared with those from PLR. There were 185 subjects, average age 67.5± 12.8 years (55% Males). Model 1: demographic variables having no direct connection with disability, the highest PageRank was M2 (0.225, bootstrap 95% CI 0.215-0.347). Model 2: demographic variables having direct connection with disability, the highest PageRank were M2 (0.205, bootstrap 95% CI 0.194-0.367) and M5 (0.125, bootstrap 95% CI 0.096-0.204). Both models illustrate the importance of M2 region to disability. The PageRank method reveals complex interaction among ASPECTS regions with respects to disability. This approach may help to understand the infarcted brain network involved in stroke disability. PMID:25961856

  11. Googling Stroke ASPECTS to Determine Disability: Exploratory Analysis from VISTA-Acute Collaboration.

    PubMed

    Beare, Richard; Chen, Jian; Phan, Thanh G

    2015-01-01

    The summed Alberta Stroke Program Early CT Score (ASPECTS) is useful for predicting stroke outcome. The anatomical information in the CT template is rarely used for this purpose because traditional regression methods are not adept at handling collinearity (relatedness) among brain regions. While penalized logistic regression (PLR) can handle collinearity, it does not provide an intuitive understanding of the interaction among network structures in a way that eigenvector method such as PageRank can (used in Google search engine). In this exploratory analysis we applied graph theoretical analysis to explore the relationship among ASPECTS regions with respect to disability outcome. The Virtual International Stroke Trials Archive (VISTA) was searched for patients who had infarct in at least one ASPECTS region (ASPECTS ≤ 9, ASPECTS = 10 were excluded), and disability (modified Rankin score/mRS). A directed graph was created from a cross correlation matrix (thresholded at false discovery rate of 0.01) of the ASPECTS regions and demographic variables and disability (mRS > 2). We estimated the network-based importance of each ASPECTS region by comparing PageRank and node strength measures. These results were compared with those from PLR. There were 185 subjects, average age 67.5 ± 12.8 years (55% Males). Model 1: demographic variables having no direct connection with disability, the highest PageRank was M2 (0.225, bootstrap 95% CI 0.215-0.347). Model 2: demographic variables having direct connection with disability, the highest PageRank were M2 (0.205, bootstrap 95% CI 0.194-0.367) and M5 (0.125, bootstrap 95% CI 0.096-0.204). Both models illustrate the importance of M2 region to disability. The PageRank method reveals complex interaction among ASPECTS regions with respects to disability. This approach may help to understand the infarcted brain network involved in stroke disability.

  12. Gene Identification Algorithms Using Exploratory Statistical Analysis of Periodicity

    NASA Astrophysics Data System (ADS)

    Mukherjee, Shashi Bajaj; Sen, Pradip Kumar

    2010-10-01

    Studying periodic pattern is expected as a standard line of attack for recognizing DNA sequence in identification of gene and similar problems. But peculiarly very little significant work is done in this direction. This paper studies statistical properties of DNA sequences of complete genome using a new technique. A DNA sequence is converted to a numeric sequence using various types of mappings and standard Fourier technique is applied to study the periodicity. Distinct statistical behaviour of periodicity parameters is found in coding and non-coding sequences, which can be used to distinguish between these parts. Here DNA sequences of Drosophila melanogaster were analyzed with significant accuracy.

  13. Exploratory factor analysis of a Force Concept Inventory data set

    NASA Astrophysics Data System (ADS)

    Scott, Terry F.; Schumayer, Daniel; Gray, Andrew R.

    2012-12-01

    We perform a factor analysis on a “Force Concept Inventory” (FCI) data set collected from 2109 respondents. We address two questions: the appearance of conceptual coherence in student responses to the FCI and some consequences of this factor analysis on the teaching of Newtonian mechanics. We will highlight the apparent conflation of Newton’s third law with Newton’s first law in one of the FCI questions and suggest an approach to teaching that may avoid this issue. We also note the absence of a distinct factor interpretable as relating specifically to kinematics. Furthermore, we identify and discuss some of the technical difficulties which may be encountered when performing factor analysis on categorical data sets, such as is the case with FCI data sets.

  14. Exploratory Data analysis ENvironment eXtreme scale (EDENx)

    SciTech Connect

    Steed, Chad Allen

    2015-07-01

    EDENx is a multivariate data visualization tool that allows interactive user driven analysis of large-scale data sets with high dimensionality. EDENx builds on our earlier system, called EDEN to enable analysis of more dimensions and larger scale data sets. EDENx provides an initial overview of summary statistics for each variable in the data set under investigation. EDENx allows the user to interact with graphical summary plots of the data to investigate subsets and their statistical associations. These plots include histograms, binned scatterplots, binned parallel coordinate plots, timeline plots, and graphical correlation indicators. From the EDENx interface, a user can select a subsample of interest and launch a more detailed data visualization via the EDEN system. EDENx is best suited for high-level, aggregate analysis tasks while EDEN is more appropriate for detail data investigations.

  15. Exploratory Data analysis ENvironment eXtreme scale (EDENx)

    2015-07-01

    EDENx is a multivariate data visualization tool that allows interactive user driven analysis of large-scale data sets with high dimensionality. EDENx builds on our earlier system, called EDEN to enable analysis of more dimensions and larger scale data sets. EDENx provides an initial overview of summary statistics for each variable in the data set under investigation. EDENx allows the user to interact with graphical summary plots of the data to investigate subsets and their statisticalmore » associations. These plots include histograms, binned scatterplots, binned parallel coordinate plots, timeline plots, and graphical correlation indicators. From the EDENx interface, a user can select a subsample of interest and launch a more detailed data visualization via the EDEN system. EDENx is best suited for high-level, aggregate analysis tasks while EDEN is more appropriate for detail data investigations.« less

  16. Research on Internationalisation in Higher Education--Exploratory Analysis

    ERIC Educational Resources Information Center

    Yemini, Miri; Sagie, Netta

    2016-01-01

    Research on internationalisation in higher education has dramatically expanded over the last several decades. This study aims to provide an overview of the research developments undertaken between 1980 and 2014, on internationalisation in higher education. Explorative, systematic literature screening and analysis were undertaken, encompassing over…

  17. Voyager: Exploratory Analysis via Faceted Browsing of Visualization Recommendations.

    PubMed

    Wongsuphasawat, Kanit; Moritz, Dominik; Anand, Anushka; Mackinlay, Jock; Howe, Bill; Heer, Jeffrey

    2016-01-01

    General visualization tools typically require manual specification of views: analysts must select data variables and then choose which transformations and visual encodings to apply. These decisions often involve both domain and visualization design expertise, and may impose a tedious specification process that impedes exploration. In this paper, we seek to complement manual chart construction with interactive navigation of a gallery of automatically-generated visualizations. We contribute Voyager, a mixed-initiative system that supports faceted browsing of recommended charts chosen according to statistical and perceptual measures. We describe Voyager's architecture, motivating design principles, and methods for generating and interacting with visualization recommendations. In a study comparing Voyager to a manual visualization specification tool, we find that Voyager facilitates exploration of previously unseen data and leads to increased data variable coverage. We then distill design implications for visualization tools, in particular the need to balance rapid exploration and targeted question-answering.

  18. Exploratory analysis of environmental interactions in central California

    USGS Publications Warehouse

    De Cola, Lee; Falcone, Neil L.

    1996-01-01

    As part of its global change research program, the United States Geological Survey (USGS) has produced raster data that describe the land cover of the United States using a consistent format. The data consist of elevations, satellite measurements, computed vegetation indices, land cover classes, and ancillary political, topographic and hydrographic information. This open-file report uses some of these data to explore the environment of a (256-km)? region of central California. We present various visualizations of the data, multiscale correlations between topography and vegetation, a path analysis of more complex statistical interactions, and a map that portrays the influence of agriculture on the region's vegetation. An appendix contains C and Mathematica code used to generate the graphics and some of the analysis.

  19. Exploratory factor analysis of the Brazilian OHIP for edentulous subjects.

    PubMed

    Souza, R F; Leles, C R; Guyatt, G H; Pontes, C B; Della Vecchia, M P; Neves, F D

    2010-03-01

    The use of seven domains for the Oral Health Impact Profile (OHIP)-EDENT was not supported for its Brazilian version, making data interpretation in clinical settings difficult. Thus, the aim of this study was to assess patients' responses for the translated OHIP-EDENT in a group of edentulous subjects and to develop factor scales for application in future studies. Data from 103 conventional and implant-retained complete denture wearers (36 men, mean age of 69.1 +/- 10.3 years) were assessed using the Brazilian version of the OHIP-EDENT. Oral health-related quality of life domains were identified by factor analysis using principal component analysis as the extraction method, followed by varimax rotation. Factor analysis identified four factors that accounted for 63% of the 19 items total variance, named masticatory discomfort and disability (four items), psychological discomfort and disability (five items), social disability (five items) and oral pain and discomfort (five items). Four factors/domains of the Brazilian OHIP-EDENT version represent patient-important aspects of oral health-related quality of life.

  20. Exploratory analysis of data sets with missing elements and outliers.

    PubMed

    Smoliński, A; Walczak, B; Einax, J W

    2002-10-01

    The main goal of the presented paper was to develop a general strategy allowing exploration of contaminated data sets with missing elements, based on application of robust PLS for initial estimation of missing elements. Using robust distance, the outlying elements were identified. After their identification and replacing by missing elements, the expectation-maximization algorithm (which can be built in into different computational procedures, such as principal component analysis and its generalisation to the N-way data-the TUCKER3 model) was used for construction of the final model.

  1. Weather analysis and interpretation procedures developed for the US/Canada wheat and barley exploratory experiment

    NASA Technical Reports Server (NTRS)

    Trenchard, M. H. (Principal Investigator)

    1980-01-01

    Procedures and techniques for providing analyses of meteorological conditions at segments during the growing season were developed for the U.S./Canada Wheat and Barley Exploratory Experiment. The main product and analysis tool is the segment-level climagraph which depicts temporally meteorological variables for the current year compared with climatological normals. The variable values for the segment are estimates derived through objective analysis of values obtained at first-order station in the region. The procedures and products documented represent a baseline for future Foreign Commodity Production Forecasting experiments.

  2. Rorschach assessment of traumatized refugees: an exploratory factor analysis.

    PubMed

    Opaas, Marianne; Hartmann, Ellen

    2013-01-01

    Fifty-one multitraumatized mental health patients with refugee backgrounds completed the Rorschach (Meyer & Viglione, 2008), Harvard Trauma Questionnaire, and Hopkins Symptom Checklist-25 (Mollica, McDonald, Massagli, & Silove, 2004), and the World Health Organization Quality of Life-BREF questionnaire (WHOQOL Group, 1998) before the start of treatment. The purpose was to gain more in-depth knowledge of an understudied patient group and to provide a prospective basis for later analyses of treatment outcome. Factor analysis of trauma-related Rorschach variables gave 2 components explaining 60% of the variance; the first was interpreted as trauma-related flooding versus constriction and the second as adequate versus impaired reality testing. Component 1 correlated positively with self-reported reexperiencing symptoms of posttraumatic stress (r = .32, p < .05). Component 2 correlated positively with self-reported quality of life in the physical, psychological, and social relationships domains (r = .34, .32, and .35, p < .05), and negatively with anxiety (r = -.33, p < .05). Each component also correlated significantly with resources like work experience, education, and language skills.

  3. Rorschach assessment of traumatized refugees: an exploratory factor analysis.

    PubMed

    Opaas, Marianne; Hartmann, Ellen

    2013-01-01

    Fifty-one multitraumatized mental health patients with refugee backgrounds completed the Rorschach (Meyer & Viglione, 2008), Harvard Trauma Questionnaire, and Hopkins Symptom Checklist-25 (Mollica, McDonald, Massagli, & Silove, 2004), and the World Health Organization Quality of Life-BREF questionnaire (WHOQOL Group, 1998) before the start of treatment. The purpose was to gain more in-depth knowledge of an understudied patient group and to provide a prospective basis for later analyses of treatment outcome. Factor analysis of trauma-related Rorschach variables gave 2 components explaining 60% of the variance; the first was interpreted as trauma-related flooding versus constriction and the second as adequate versus impaired reality testing. Component 1 correlated positively with self-reported reexperiencing symptoms of posttraumatic stress (r = .32, p < .05). Component 2 correlated positively with self-reported quality of life in the physical, psychological, and social relationships domains (r = .34, .32, and .35, p < .05), and negatively with anxiety (r = -.33, p < .05). Each component also correlated significantly with resources like work experience, education, and language skills. PMID:23570250

  4. Critical care physician cognitive task analysis: an exploratory study

    PubMed Central

    Fackler, James C; Watts, Charles; Grome, Anna; Miller, Thomas; Crandall, Beth; Pronovost, Peter

    2009-01-01

    Introduction For better or worse, the imposition of work-hour limitations on house-staff has imperiled continuity and/or improved decision-making. Regardless, the workflow of every physician team in every academic medical centre has been irrevocably altered. We explored the use of cognitive task analysis (CTA) techniques, most commonly used in other high-stress and time-sensitive environments, to analyse key cognitive activities in critical care medicine. The study objective was to assess the usefulness of CTA as an analytical tool in order that physician cognitive tasks may be understood and redistributed within the work-hour limited medical decision-making teams. Methods After approval from each Institutional Review Board, two intensive care units (ICUs) within major university teaching hospitals served as data collection sites for CTA observations and interviews of critical care providers. Results Five broad categories of cognitive activities were identified: pattern recognition; uncertainty management; strategic vs. tactical thinking; team coordination and maintenance of common ground; and creation and transfer of meaning through stories. Conclusions CTA within the framework of Naturalistic Decision Making is a useful tool to understand the critical care process of decision-making and communication. The separation of strategic and tactical thinking has implications for workflow redesign. Given the global push for work-hour limitations, such workflow redesign is occurring. Further work with CTA techniques will provide important insights toward rational, rather than random, workflow changes. PMID:19265517

  5. An Exploratory Analysis of Personality Factors Contributed to Suicide Attempts

    PubMed Central

    Kumar, P. N. Suresh; Rajmohan, V.; Sushil, K.

    2013-01-01

    Background: People who attempt suicide have certain individual predispositions, part of which is contributed by personality traits. Aims: The present study was conducted to identify the psycho-sociodemographic and personality related factors contributing to suicide attempts. Materials and Methods: 104 suicide attempters admitted in various departments and referred to the department of psychiatry of IQRAA Hospital formed the study sample. They were evaluated with a self designed socio-demographic proforma, Eysenck's Personality Questionnaire Revised, Albert Einstein College of Medicine-Impulsivity Coping Scale, and Past Feelings and Acts of Violence Scale. Statistics Analysis: The data was initially analyzed by percentage of frequencies. Association between socio-demographic and selected psychological factors was analyzed using t-test and Chi-square test. Intercorrelation among psychological factors was calculated by Pearson's correlation coefficient “r”. Results and Conclusion: Factors such as young age, being married, nuclear family, feeling lonely and burden to family, inability to solve the problems of day to day life, and presence of psychiatric diagnosis and personality traits such as neuroticism, impulsivity, and violence were contributed to suicide attempt. A significant positive relationship between these factors was also identified. Findings of the present study call the attention of mental health professionals to identify these high risk factors in susceptible individuals and to modify these factors to prevent them from attempting suicide. PMID:24379499

  6. Applied Behavior Analysis and Statistical Process Control?

    ERIC Educational Resources Information Center

    Hopkins, B. L.

    1995-01-01

    Incorporating statistical process control (SPC) methods into applied behavior analysis is discussed. It is claimed that SPC methods would likely reduce applied behavior analysts' intimate contacts with problems and would likely yield poor treatment and research decisions. Cases and data presented by Pfadt and Wheeler (1995) are cited as examples.…

  7. Concept analysis of culture applied to nursing.

    PubMed

    Marzilli, Colleen

    2014-01-01

    Culture is an important concept, especially when applied to nursing. A concept analysis of culture is essential to understanding the meaning of the word. This article applies Rodgers' (2000) concept analysis template and provides a definition of the word culture as it applies to nursing practice. This article supplies examples of the concept of culture to aid the reader in understanding its application to nursing and includes a case study demonstrating components of culture that must be respected and included when providing health care.

  8. Exploratory and structural data analysis of a sandy aquifer at Mol/Dessel, Belgium

    NASA Astrophysics Data System (ADS)

    Rogiers, Bart; Mallants, Dirk; Batelaan, Okke; Gedeon, Matej; Huysmans, Marijke; Dassargues, Alain

    2010-05-01

    In the framework of the disposal of short-lived low- and intermediate-level radioactive waste in a near-surface disposal facility in Dessel, Belgium, additional extensive site characterization has been performed in 2008. The gathered data now enclose 388 hydraulic conductivity measurements on samples of 8 cored boreholes. Additionally, secondary information as grain size analysis, resistivity, porosity, etc. was gathered. With this dataset, a small-scale probabilistic approach can be used 1) to validate the current existing deterministic groundwater models based on large-scale average hydraulic conductivity values, and 2) to support design for a monitoring network. In preparation for stochastic realizations of the subsurface, an exploratory and structural data analysis was performed and is presented here. The exploratory data analysis allows definition of hydrogeological units, independent from the existing lithostratigraphy. It also shows the presence of three conductivity classes within a strongly heterogeneous unit. Currently, only vertical structural data analysis is performed based on vertical data profiles. Semi-variograms and cross-variograms are calculated to characterize the spatial variance of the different hydrogeological units. Additional sampling and measurements will be performed in the future to provide information of the horizontal spatial variance. Together with the current results, these will serve as the basis for conditional stochastic simulation of groundwater flow and contaminant transport.

  9. Conceptualizing age-friendly community characteristics in a sample of urban elders: an exploratory factor analysis.

    PubMed

    Smith, Richard J; Lehning, Amanda J; Dunkle, Ruth E

    2013-01-01

    Accurate conceptualization and measurement of age-friendly community characteristics would help to reduce barriers to documenting the effects on elders of interventions to create such communities. This article contributes to the measurement of age-friendly communities through an exploratory factor analysis of items reflecting an existing US Environmental Protection Agency policy framework. From a sample of urban elders (n = 1,376), we identified 6 factors associated with demographic and health characteristics: access to business and leisure, social interaction, access to health care, neighborhood problems, social support, and community engagement. Future research should explore the effects of these factors across contexts and populations.

  10. Cladistic analysis applied to the classification of volcanoes

    NASA Astrophysics Data System (ADS)

    Hone, D. W. E.; Mahony, S. H.; Sparks, R. S. J.; Martin, K. T.

    2007-11-01

    Cladistics is a systematic method of classification that groups entities on the basis of sharing similar characteristics in the most parsimonious manner. Here cladistics is applied to the classification of volcanoes using a dataset of 59 Quaternary volcanoes and 129 volcanic edifices of the Tohoku region, Northeast Japan. Volcano and edifice characteristics recorded in the database include attributes of volcano size, chemical composition, dominant eruptive products, volcano morphology, dominant landforms, volcano age and eruptive history. Without characteristics related to time the volcanic edifices divide into two groups, with characters related to volcano size, dominant composition and edifice morphology being the most diagnostic. Analysis including time based characteristics yields four groups with a good correlation between these groups and the two groups from the analysis without time for 108 out of 129 volcanic edifices. Thus when characters are slightly changed the volcanoes still form similar groupings. Analysis of the volcanoes both with and without time yields three groups based on compositional, eruptive products and morphological characters. Spatial clusters of volcanic centres have been recognised in the Tohoku region by Tamura et al. ( Earth Planet Sci Lett 197:105 106, 2002). The groups identified by cladistic analysis are distributed unevenly between the clusters, indicating a tendency for individual clusters to form similar kinds of volcanoes with distinctive but coherent styles of volcanism. Uneven distribution of volcano types between clusters can be explained by variations in dominant magma compositions through time, which are reflected in eruption products and volcanic landforms. Cladistic analysis can be a useful tool for elucidating dynamic igneous processes that could be applied to other regions and globally. Our exploratory study indicates that cladistics has promise as a method for classifying volcanoes and potentially elucidating dynamic

  11. [Exploratory factor analysis and psychometric properties of the Valencia Scale on attitudes and beliefs toward hypnosis].

    PubMed

    Capafons, Antonio; Morales, Claudia; Espejo, Begoña; Cabañas, Sonia

    2006-11-01

    Exploratory factor analysis and psychometric properties of the valencia scale on attitudes and beliefs toward hypnosis. Therapist version. This investigation examines the psychometric properties and factor structure of the Valencia Scale on Attitudes and Beliefs toward Hypnosis-Therapist version. Data from 775 professional psychologists belonging to the Spanish Association of Psychologists were used for the exploratory factor analysis (EFA). Retest included data from 426 participants who answered to the test. The EFA revealed eight factors (Fear, Memory, Help, Control, Collaboration, Interest, Magic and Marginal). Each factor showed good internal consistency and reliability, similar to the client version of this scale. ANOVA indicate that some variables (having scientific knowledge, having received practical information on hypnosis, to use hypnosis, and to show interest in receiving more theoretical and practical information on hypnosis), tend to reduce inadequate beliefs and negative attitudes toward hypnosis. Our results provide the basis for carrying out confirmatory factor analysis and studies of convergent validity on the scale, and of the sensitivity of the scale to change.

  12. General guidance on exploratory and confirmatory subgroup analysis in late-stage clinical trials.

    PubMed

    Dmitrienko, Alex; Muysers, Christoph; Fritsch, Arno; Lipkovich, Ilya

    2016-01-01

    This article focuses on a broad class of statistical and clinical considerations related to the assessment of treatment effects across patient subgroups in late-stage clinical trials. This article begins with a comprehensive review of clinical trial literature and regulatory guidelines to help define scientifically sound approaches to evaluating subgroup effects in clinical trials. All commonly used types of subgroup analysis are considered in the article, including different variations of prospectively defined and post-hoc subgroup investigations. In the context of confirmatory subgroup analysis, key design and analysis options are presented, which includes conventional and innovative trial designs that support multi-population tailoring approaches. A detailed summary of exploratory subgroup analysis (with the purpose of either consistency assessment or subgroup identification) is also provided. The article promotes a more disciplined approach to post-hoc subgroup identification and formulates key principles that support reliable evaluation of subgroup effects in this setting.

  13. Defining applied behavior analysis: An historical analogy

    PubMed Central

    Deitz, Samuel M.

    1982-01-01

    This article examines two criteria for a definition of applied behavior analysis. The criteria are derived from a 19th century attempt to establish medicine as a scientific field. The first criterion, experimental determinism, specifies the methodological boundaries of an experimental science. The second criterion, philosophic doubt, clarifies the tentative nature of facts and theories derived from those facts. Practices which will advance the science of behavior are commented upon within each criteria. To conclude, the problems of a 19th century form of empiricism in medicine are related to current practices in applied behavior analysis. PMID:22478557

  14. Applied mathematics analysis of the multibody systems

    NASA Astrophysics Data System (ADS)

    Sahin, H.; Kar, A. K.; Tacgin, E.

    2012-08-01

    A methodology is developed for the analysis of the multibody systems that is applied on the vehicle as a case study. The previous study emphasizes the derivation of the multibody dynamics equations of motion for bogie [2]. In this work, we have developed a guide-way for the analysis of the dynamical behavior of the multibody systems for mainly validation, verification of the realistic mathematical model and partly for the design of the alternative optimum vehicle parameters.

  15. Determining the Number of Factors to Retain in an Exploratory Factor Analysis Using Comparison Data of Known Factorial Structure

    ERIC Educational Resources Information Center

    Ruscio, John; Roche, Brendan

    2012-01-01

    Exploratory factor analysis (EFA) is used routinely in the development and validation of assessment instruments. One of the most significant challenges when one is performing EFA is determining how many factors to retain. Parallel analysis (PA) is an effective stopping rule that compares the eigenvalues of randomly generated data with those for…

  16. Toward Reflective Judgment in Exploratory Factor Analysis Decisions: Determining the Extraction Method and Number of Factors To Retain.

    ERIC Educational Resources Information Center

    Knight, Jennifer L.

    This paper considers some decisions that must be made by the researcher conducting an exploratory factor analysis. The primary purpose is to aid the researcher in making informed decisions during the factor analysis instead of relying on defaults in statistical programs or traditions of previous researchers. Three decision areas are addressed.…

  17. Applied behavior analysis and statistical process control?

    PubMed Central

    Hopkins, B L

    1995-01-01

    This paper examines Pfadt and Wheeler's (1995) suggestions that the methods of statistical process control (SPC) be incorporated into applied behavior analysis. The research strategies of SPC are examined and compared to those of applied behavior analysis. I argue that the statistical methods that are a part of SPC would likely reduce applied behavior analysts' intimate contacts with the problems with which they deal and would, therefore, likely yield poor treatment and research decisions. Examples of these kinds of results and decisions are drawn from the cases and data Pfadt and Wheeler present. This paper also describes and clarifies many common misconceptions about SPC, including W. Edwards Deming's involvement in its development, its relationship to total quality management, and its confusion with various other methods designed to detect sources of unwanted variability. PMID:7592156

  18. Positive Behavior Support and Applied Behavior Analysis

    ERIC Educational Resources Information Center

    Johnston, J. M.; Foxx, R. M.; Jacobson, J. W.; Green, G.; Mulick, J. A.

    2006-01-01

    This article reviews the origins and characteristics of the positive behavior support (PBS) movement and examines those features in the context of the field of applied behavior analysis (ABA). We raise a number of concerns about PBS as an approach to delivery of behavioral services and its impact on how ABA is viewed by those in human services. We…

  19. An Exploratory Factor Analysis and Reliability Analysis of the Student Online Learning Readiness (SOLR) Instrument

    ERIC Educational Resources Information Center

    Yu, Taeho; Richardson, Jennifer C.

    2015-01-01

    The purpose of this study was to develop an effective instrument to measure student readiness in online learning with reliable predictors of online learning success factors such as learning outcomes and learner satisfaction. The validity and reliability of the Student Online Learning Readiness (SOLR) instrument were tested using exploratory factor…

  20. Demographic and psychological factors associated with lifetime cocaine use: An exploratory factor analysis of baseline questionnaires

    PubMed Central

    Dias, Nadeeka R; Lane, Scott D; Rathnayaka, Nuvan; Schmitz, Joy M; Green, Charles E

    2014-01-01

    Objectives Underlying heterogeneity among individuals with cocaine dependence is widely postulated in the literature, however, identification of a group of factors that explain risk of cocaine use severity has yet to be confirmed. Methods Latent mixture modeling evaluated 338 cocaine-dependent individuals recruited from the community to assess the evidence for the presence of distinct subgroups. Variables included 5 baseline questionnaires measuring cognitive function (Shipley), impulsivity (BIS), mood (BDI), affective lability (ALS), and addiction severity (ASI). Results failed to suggest multiple subgroups. Given a lack of evidence for discrete latent classes, an exploratory factor analysis (EFA) followed by exploratory structural equation modeling (ESEM) was implemented to identify functional dimensions to enhance interpretation of these variables. Results Findings from the EFA indicated a 3-factor model as the best fit, and the subsequent ESEM solution resulted in associations with lifetime cocaine use. Factor 1, best characterized by demographic factors (gender, age), is associated with less lifetime cocaine use. Psychological problems best characterize factor 2, which is associated with higher lifetime cocaine use. Finally, factor 3 is characterized by other substance use (alcohol and marijuana). Although this factor did not demonstrate a statistically reliable relation with self-reported, lifetime cocaine use, it did indicate a potentially meaningful positive association. Conclusions These 3 factors delineate dimensions of functioning that likewise help characterize the variability found in previously established associations with self-reported cocaine use. PMID:26170765

  1. Exploratory search on Twitter utilizing user feedback and multi-perspective microblog analysis.

    PubMed

    Zilincik, Michal; Navrat, Pavol; Koskova, Gabriela

    2013-01-01

    In recent years, besides typical information retrieval, a broader concept of information exploration--exploratory search--is emerging into the foreground. In addition, more and more valuable information is presented in microblogs on social networks. We propose a new method for supporting the exploratory search on the Twitter social network. The method copes with several challenges, namely brevity of microblogs called tweets, limited number of available ratings and the need to process the recommendations online. In order to tackle the first challenge, the representation of microblogs is enriched by information from referenced links, topic summarization and affect analysis. The small number of available ratings is raised by interpreting implicit feedback trained by feedback model during browsing. Recommendations are made by a preference model that models user's preferences over tweets. The evaluation shows promising results even when navigating in the space of brief pieces of information, making recommendations based only on a small number of ratings, and by optimizing the models to process in real time.

  2. Exploratory Search on Twitter Utilizing User Feedback and Multi-Perspective Microblog Analysis

    PubMed Central

    Zilincik, Michal; Navrat, Pavol; Koskova, Gabriela

    2013-01-01

    In recent years, besides typical information retrieval, a broader concept of information exploration – exploratory search - is emerging into the foreground. In addition, more and more valuable information is presented in microblogs on social networks. We propose a new method for supporting the exploratory search on the Twitter social network. The method copes with several challenges, namely brevity of microblogs called tweets, limited number of available ratings and the need to process the recommendations online. In order to tackle the first challenge, the representation of microblogs is enriched by information from referenced links, topic summarization and affect analysis. The small number of available ratings is raised by interpreting implicit feedback trained by feedback model during browsing. Recommendations are made by a preference model that models user’s preferences over tweets. The evaluation shows promising results even when navigating in the space of brief pieces of information, making recommendations based only on a small number of ratings, and by optimizing the models to process in real time. PMID:24265724

  3. Caldwell University's Department of Applied Behavior Analysis.

    PubMed

    Reeve, Kenneth F; Reeve, Sharon A

    2016-05-01

    Since 2004, faculty members at Caldwell University have developed three successful graduate programs in Applied Behavior Analysis (i.e., PhD, MA, non-degree programs), increased program faculty from two to six members, developed and operated an on-campus autism center, and begun a stand-alone Applied Behavior Analysis Department. This paper outlines a number of strategies used to advance these initiatives, including those associated with an extensive public relations campaign. We also outline challenges that have limited our programs' growth. These strategies, along with a consideration of potential challenges, might prove useful in guiding academicians who are interested in starting their own programs in behavior analysis. PMID:27606194

  4. A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets

    PubMed Central

    Angulo, Diego A.; Schneider, Cyril; Oliver, James H.; Charpak, Nathalie; Hernandez, Jose T.

    2016-01-01

    Brain research typically requires large amounts of data from different sources, and often of different nature. The use of different software tools adapted to the nature of each data source can make research work cumbersome and time consuming. It follows that data is not often used to its fullest potential thus limiting exploratory analysis. This paper presents an ancillary software tool called BRAVIZ that integrates interactive visualization with real-time statistical analyses, facilitating access to multi-facetted neuroscience data and automating many cumbersome and error-prone tasks required to explore such data. Rather than relying on abstract numerical indicators, BRAVIZ emphasizes brain images as the main object of the analysis process of individuals or groups. BRAVIZ facilitates exploration of trends or relationships to gain an integrated view of the phenomena studied, thus motivating discovery of new hypotheses. A case study is presented that incorporates brain structure and function outcomes together with different types of clinical data. PMID:27601990

  5. A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets.

    PubMed

    Angulo, Diego A; Schneider, Cyril; Oliver, James H; Charpak, Nathalie; Hernandez, Jose T

    2016-01-01

    Brain research typically requires large amounts of data from different sources, and often of different nature. The use of different software tools adapted to the nature of each data source can make research work cumbersome and time consuming. It follows that data is not often used to its fullest potential thus limiting exploratory analysis. This paper presents an ancillary software tool called BRAVIZ that integrates interactive visualization with real-time statistical analyses, facilitating access to multi-facetted neuroscience data and automating many cumbersome and error-prone tasks required to explore such data. Rather than relying on abstract numerical indicators, BRAVIZ emphasizes brain images as the main object of the analysis process of individuals or groups. BRAVIZ facilitates exploration of trends or relationships to gain an integrated view of the phenomena studied, thus motivating discovery of new hypotheses. A case study is presented that incorporates brain structure and function outcomes together with different types of clinical data.

  6. A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets

    PubMed Central

    Angulo, Diego A.; Schneider, Cyril; Oliver, James H.; Charpak, Nathalie; Hernandez, Jose T.

    2016-01-01

    Brain research typically requires large amounts of data from different sources, and often of different nature. The use of different software tools adapted to the nature of each data source can make research work cumbersome and time consuming. It follows that data is not often used to its fullest potential thus limiting exploratory analysis. This paper presents an ancillary software tool called BRAVIZ that integrates interactive visualization with real-time statistical analyses, facilitating access to multi-facetted neuroscience data and automating many cumbersome and error-prone tasks required to explore such data. Rather than relying on abstract numerical indicators, BRAVIZ emphasizes brain images as the main object of the analysis process of individuals or groups. BRAVIZ facilitates exploration of trends or relationships to gain an integrated view of the phenomena studied, thus motivating discovery of new hypotheses. A case study is presented that incorporates brain structure and function outcomes together with different types of clinical data.

  7. A Multi-facetted Visual Analytics Tool for Exploratory Analysis of Human Brain and Function Datasets.

    PubMed

    Angulo, Diego A; Schneider, Cyril; Oliver, James H; Charpak, Nathalie; Hernandez, Jose T

    2016-01-01

    Brain research typically requires large amounts of data from different sources, and often of different nature. The use of different software tools adapted to the nature of each data source can make research work cumbersome and time consuming. It follows that data is not often used to its fullest potential thus limiting exploratory analysis. This paper presents an ancillary software tool called BRAVIZ that integrates interactive visualization with real-time statistical analyses, facilitating access to multi-facetted neuroscience data and automating many cumbersome and error-prone tasks required to explore such data. Rather than relying on abstract numerical indicators, BRAVIZ emphasizes brain images as the main object of the analysis process of individuals or groups. BRAVIZ facilitates exploration of trends or relationships to gain an integrated view of the phenomena studied, thus motivating discovery of new hypotheses. A case study is presented that incorporates brain structure and function outcomes together with different types of clinical data. PMID:27601990

  8. What happened to analysis in applied behavior analysis?

    PubMed

    Pierce, W D; Epling, W F

    1980-01-01

    This paper addresses the current help-oriented focus of researchers in applied behavior analysis. Evidence from a recent volume of JABA suggests that analytic behavior is at low levels in applied analysis while cure-help behavior is at high strength. This low proportion of scientific behavior is apparantly related to cure-help contingencies set by institutions and agencies of help and the editorial policies of JABA itself. These contingencies have favored the flight to real people and a concern with client gains, evaluation and outcome strategies rather than the analysis of contingencies of reinforcement controlling human behavior. In this regard, the paper documents the current separation of applied behavior analysis from the experimental analysis of behavior. There is limited use of basic principles in applied analysis today and almost no reference to the current research in the experimental analysis of behavior involving concurrent operants and adjunctive behavior. This divorce of applied behavior research and the experimental analysis of behavior will mitigate against progress toward a powerful technology of behavior. In order to encourage a return to analysis in applied research, there is a need to consider the objectives of applied behavior analysis. The original purpose of behavioral technology is examined and a re-definition of the concept of "social importance" is presented which can direct applied researchers toward an analytic focus. At the same time a change in the publication policies of applied journals such as JABA toward analytic research and the design of new educational contingencies for students will insure the survival of analysis in applied behavior analysis. PMID:22478471

  9. Applied Pharmaceutical Analysis India 2014 conference report.

    PubMed

    Kole, Prashant; Barot, Deepak; Kotecha, Jignesh; Raina, Vijay; Rao, Mukkavilli; Yadav, Manish

    2014-01-01

    Applied Pharmaceutical Analysis (APA) India 23-26 February 2014, Ahmedabad, India The fifth Applied Pharmaceutical Analysis (APA) India meeting was held in February 2014 at Hyatt Ahmedabad, India. With the theme of 'The Science of Measurement: Current status and Future trends in Bioanalysis, Biotransformation and Drug Discovery Platforms', the conference was attended by over 160 delegates. The agenda comprised advanced and relevant research topics in the key areas of bioanalysis and drug metabolism. APA India 2014 provided a unique platform for networking and professional linking to participants, innovators and policy-makers. As part of the global research community, APA India continues to grow and receive considerable attention from the drug discovery and development community of India.

  10. Exploratory factor analysis of borderline personality disorder criteria in monolingual Hispanic outpatients with substance use disorders†

    PubMed Central

    Becker, Daniel F.; Añez, Luis Miguel; Paris, Manuel; Grilo, Carlos M.

    2009-01-01

    This study examined the factor structure of the DSM-IV criteria for borderline personality disorder (BPD) in Hispanic patients. Subjects were 130 monolingual Hispanic adults who had been admitted to a specialty outpatient clinic that provides psychiatric and substance abuse services to Spanish-speaking individuals. All were reliably assessed with the Spanish-Language Version of the Diagnostic Interview for DSM-IV Personality Disorders. After evaluating internal consistency of the BPD criterion set, an exploratory factor analysis was performed using principal axis factoring. Results suggested a unidimensional structure, and were consistent with similar studies of the DSM-IV criteria for BPD in non-Hispanic samples. These findings have implications for understanding borderline psychopathology in this population, and for the overall validity of the DSM-IV BPD construct. PMID:20472296

  11. A Unified Approach to Exploratory Factor Analysis with Missing Data, Nonnormal Data, and in the Presence of Outliers.

    ERIC Educational Resources Information Center

    Yuan, Ke-Hai; Marshall, Linda L.; Bentler, Peter M.

    2002-01-01

    Proposes a rescaled Bartless-corrected statistic for evaluating the number of factors in exploratory factor analysis with missing data, nonnormal data, and in the presence of outliers. Numerical results illustrate the sensitivity of classical methods and advantages of the proposed procedures. (SLD)

  12. Rotation Criteria and Hypothesis Testing for Exploratory Factor Analysis: Implications for Factor Pattern Loadings and Interfactor Correlations

    ERIC Educational Resources Information Center

    Schmitt, Thomas A.; Sass, Daniel A.

    2011-01-01

    Exploratory factor analysis (EFA) has long been used in the social sciences to depict the relationships between variables/items and latent traits. Researchers face many choices when using EFA, including the choice of rotation criterion, which can be difficult given that few research articles have discussed and/or demonstrated their differences.…

  13. Exploratory Two-Level Analysis of Individual- and School-Level Factors on Truant Youth Emotional/Psychological Functioning

    ERIC Educational Resources Information Center

    Dembo, Richard; Wareham, Jennifer; Schmeidler, James; Winters, Ken C.

    2016-01-01

    Research on samples of truant adolescents is limited, with little known about mental health problems among truant youths. This study provided an exploratory, multilevel examination of mental health problems for a sample of 300 truant adolescents. Confirmatory factor analysis indicated a single factor of multiple mental health problems at the…

  14. Exploratory Bifactor Analysis of the WJ-III Cognitive in Adulthood via the Schmid-Leiman Procedure

    ERIC Educational Resources Information Center

    Dombrowski, Stefan C.

    2014-01-01

    The Woodcock-Johnson-III cognitive in the adult time period (age 20 to 90 plus) was analyzed using exploratory bifactor analysis via the Schmid-Leiman orthogonalization procedure. The results of this study suggested possible overfactoring, a different factor structure from that posited in the Technical Manual and a lack of invariance across both…

  15. FACTOR 9.2: A Comprehensive Program for Fitting Exploratory and Semiconfirmatory Factor Analysis and IRT Models

    ERIC Educational Resources Information Center

    Lorenzo-Seva, Urbano; Ferrando, Pere J.

    2013-01-01

    FACTOR 9.2 was developed for three reasons. First, exploratory factor analysis (FA) is still an active field of research although most recent developments have not been incorporated into available programs. Second, there is now renewed interest in semiconfirmatory (SC) solutions as suitable approaches to the complex structures are commonly found…

  16. Quantifying Subpopulation Differences for a Lack of Invariance Using Complex Examinee Profiles: An Exploratory Multigroup Approach Using Functional Data Analysis

    ERIC Educational Resources Information Center

    Rupp, Andre A.

    2005-01-01

    This article presents a novel exploratory multigroup approach that quantifies relative group differences within an item response theory framework using tools from functional data analysis. Specifically, examinee groups are formed using different clustering methodologies based on background and attitudinal variable profiles. Item parameters for the…

  17. Unobtrusive Data Analysis of Digital Reference Questions and Service at the Internet Public Library: An Exploratory Study.

    ERIC Educational Resources Information Center

    Carter, David S.; Janes, Joseph

    2000-01-01

    Presents results of an exploratory study attempting to establish a methodology for the unobtrusive analysis of a digital reference enterprise. Logs of over 3,000 questions asked of the Internet Public Library in early 1999 were analyzed on the basis of questions asked, self-selected demographic information, how those questions were handled, and…

  18. Tropospheric Delay Raytracing Applied in VLBI Analysis

    NASA Astrophysics Data System (ADS)

    MacMillan, D. S.; Eriksson, D.; Gipson, J. M.

    2013-12-01

    Tropospheric delay modeling error continues to be one of the largest sources of error in VLBI analysis. For standard operational solutions, we use the VMF1 elevation-dependent mapping functions derived from ECMWF data. These mapping functions assume that tropospheric delay at a site is azimuthally symmetric. As this assumption does not reflect reality, we have determined the raytrace delay along the signal path through the troposphere for each VLBI quasar observation. We determined the troposphere refractivity fields from the pressure, temperature, specific humidity and geopotential height fields of the NASA GSFC GEOS-5 numerical weather model. We discuss results from analysis of the CONT11 R&D and the weekly operational R1+R4 experiment sessions. When applied in VLBI analysis, baseline length repeatabilities were better for 66-72% of baselines with raytraced delays than with VMF1 mapping functions. Vertical repeatabilities were better for 65% of sites.

  19. Investigation of the Factor Structure of the Comprehensive Test of Nonverbal Intelligence-Second Edition (CTONI-2) Using Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    McGill, Ryan J.

    2016-01-01

    The present study examined the structure of the Comprehensive Test of Nonverbal Intelligence-Second Edition (CTONI-2) normative sample using exploratory factor analysis, multiple factor extraction criteria, and higher-order exploratory factor analytic techniques that were not reported in the in the CTONI-2 "Examiner's Manual". Results…

  20. Geometry Control System for Exploratory Shape Optimization Applied to High-Fidelity Aerodynamic Design of Unconventional Aircraft

    NASA Astrophysics Data System (ADS)

    Gagnon, Hugo

    This thesis represents a step forward to bring geometry parameterization and control on par with the disciplinary analyses involved in shape optimization, particularly high-fidelity aerodynamic shape optimization. Central to the proposed methodology is the non-uniform rational B-spline, used here to develop a new geometry generator and geometry control system applicable to the aerodynamic design of both conventional and unconventional aircraft. The geometry generator adopts a component-based approach, where any number of predefined but modifiable (parametric) wing, fuselage, junction, etc., components can be arbitrarily assembled to generate the outer mold line of aircraft geometry. A unique Python-based user interface incorporating an interactive OpenGL windowing system is proposed. Together, these tools allow for the generation of high-quality, C2 continuous (or higher), and customized aircraft geometry with fast turnaround. The geometry control system tightly integrates shape parameterization with volume mesh movement using a two-level free-form deformation approach. The framework is augmented with axial curves, which are shown to be flexible and efficient at parameterizing wing systems of arbitrary topology. A key aspect of this methodology is that very large shape deformations can be achieved with only a few, intuitive control parameters. Shape deformation consumes a few tenths of a second on a single processor and surface sensitivities are machine accurate. The geometry control system is implemented within an existing aerodynamic optimizer comprising a flow solver for the Euler equations and a sequential quadratic programming optimizer. Gradients are evaluated exactly with discrete-adjoint variables. The algorithm is first validated by recovering an elliptical lift distribution on a rectangular wing, and then demonstrated through the exploratory shape optimization of a three-pronged feathered winglet leading to a span efficiency of 1.22 under a height

  1. Positive Behavior Support and Applied Behavior Analysis

    PubMed Central

    Johnston, J.M; Foxx, Richard M; Jacobson, John W; Green, Gina; Mulick, James A

    2006-01-01

    This article reviews the origins and characteristics of the positive behavior support (PBS) movement and examines those features in the context of the field of applied behavior analysis (ABA). We raise a number of concerns about PBS as an approach to delivery of behavioral services and its impact on how ABA is viewed by those in human services. We also consider the features of PBS that have facilitated its broad dissemination and how ABA might benefit from emulating certain practices of the PBS movement. PMID:22478452

  2. Wavelet analysis applied to the IRAS cirrus

    NASA Technical Reports Server (NTRS)

    Langer, William D.; Wilson, Robert W.; Anderson, Charles H.

    1994-01-01

    The structure of infrared cirrus clouds is analyzed with Laplacian pyramid transforms, a form of non-orthogonal wavelets. Pyramid and wavelet transforms provide a means to decompose images into their spatial frequency components such that all spatial scales are treated in an equivalent manner. The multiscale transform analysis is applied to IRAS 100 micrometer maps of cirrus emission in the north Galactic pole region to extract features on different scales. In the maps we identify filaments, fragments and clumps by separating all connected regions. These structures are analyzed with respect to their Hausdorff dimension for evidence of the scaling relationships in the cirrus clouds.

  3. Sneak analysis applied to process systems

    NASA Astrophysics Data System (ADS)

    Whetton, Cris

    Traditional safety analyses, such as HAZOP, FMEA, FTA, and MORT, are less than effective at identifying hazards resulting from incorrect 'flow' - whether this be flow of information, actions, electric current, or even the literal flow of process fluids. Sneak Analysis (SA) has existed since the mid nineteen-seventies as a means of identifying such conditions in electric circuits; in which area, it is usually known as Sneak Circuit Analysis (SCA). This paper extends the ideas of Sneak Circuit Analysis to a general method of Sneak Analysis applied to process plant. The methods of SA attempt to capitalize on previous work in the electrical field by first producing a pseudo-electrical analog of the process and then analyzing the analog by the existing techniques of SCA, supplemented by some additional rules and clues specific to processes. The SA method is not intended to replace any existing method of safety analysis; instead, it is intended to supplement such techniques as HAZOP and FMEA by providing systematic procedures for the identification of a class of potential problems which are not well covered by any other method.

  4. Visualized Exploratory Spatiotemporal Analysis of Hand-Foot-Mouth Disease in Southern China

    PubMed Central

    Huang, Ji-Xia; Wang, Jin-Feng; Li, Zhong-Jie; Wang, Yan; Lai, Sheng-Jie; Yang, Wei-Zhong

    2015-01-01

    Objectives In epidemiological research, major studies have focused on theoretical models; however, few methods of visual analysis have been used to display the patterns of disease distribution. Design For this study, a method combining the space-time cube (STC) with space-time scan statistics (STSS) was used to analyze the pattern of incidence of hand-foot-mouth disease (HFMD) in Guangdong Province from May 2008 to March 2009. In this research, STC was used to display the spatiotemporal pattern of incidence of HFMD, and STSS were used to detect the local aggregations of the disease. Setting The hand-foot-mouth disease data were obtained from Guangdong Province from May 2008 to March 2009, with a total of 68,130 cases. Results The STC analysis revealed a differential pattern of HFMD incidence among different months and cities and also showed that the population density and average precipitation are correlated with the incidence of HFMD. The STSS analysis revealed that the most likely aggregation includes the Shenzhen, Foshan and Dongguan populations, which are the most developed regions in Guangdong Province. Conclusion Both STC and STSS are efficient tools for the exploratory data analysis of disease transmission. STC clearly displays the spatiotemporal patterns of disease. Using the maximum likelihood ratio, the STSS model precisely locates the most likely aggregation. PMID:26605919

  5. Remote access methods for exploratory data analysis and statistical modelling: Privacy-Preserving Analytics.

    PubMed

    Sparks, Ross; Carter, Chris; Donnelly, John B; O'Keefe, Christine M; Duncan, Jodie; Keighley, Tim; McAullay, Damien

    2008-09-01

    This paper is concerned with the challenge of enabling the use of confidential or private data for research and policy analysis, while protecting confidentiality and privacy by reducing the risk of disclosure of sensitive information. Traditional solutions to the problem of reducing disclosure risk include releasing de-identified data and modifying data before release. In this paper we discuss the alternative approach of using a remote analysis server which does not enable any data release, but instead is designed to deliver useful results of user-specified statistical analyses with a low risk of disclosure. The techniques described in this paper enable a user to conduct a wide range of methods in exploratory data analysis, regression and survival analysis, while at the same time reducing the risk that the user can read or infer any individual record attribute value. We illustrate our methods with examples from biostatistics using publicly available data. We have implemented our techniques into a software demonstrator called Privacy-Preserving Analytics (PPA), via a web-based interface to the R software. We believe that PPA may provide an effective balance between the competing goals of providing useful information and reducing disclosure risk in some situations.

  6. Utilizing Exploratory Spatial Data Analysis to Examine Health and Environmental Disparities in Disadvantaged Neighborhoods

    PubMed Central

    Osiecki, Kristin M.; Kim, Seijeoung; Chukwudozie, Ifeanyi B.; Calhoun, Elizabeth A.

    2013-01-01

    Health disparities research has focused primarily on racial and socioeconomic differences in health outcomes. Although neighborhood characteristics and the concept of built environment have been shown to affect individual health, measuring the effects of environmental risks on health has been a less developed area of disparities research. To examine spatial associations and the distribution of geographic patterns of sociodemographic characteristics, environmental cancer risk, and cancer rates, we utilized existing data from multiple sources. The findings from our initial analysis, which concerned with proximity to environmental hazards and at-risk communities, were consistent with results of previous studies, which often reported mixed relationships between health disparity indicators and environmental burden. However, further analysis with refined models showed that several key demographic and subdomains of cancer risk measures were shown to have spatial components. With the application of exploratory spatial data analysis, we were able to identify areas with both high rates of poverty and racial minorities to further examine for possible associations to environmental cancer risk. Global spatial autocorrelation found spatial clustering with percent black, percent poverty, point and non-point cancer risks requiring further spatial analysis to determine relationship of significance based on geography. This methodology was based upon particular assumptions associated with data and applications, which needed to be met. We conclude that careful assessment of the data and applications were required to properly interpret the findings in understanding the relationship between vulnerable populations and environmental burden. PMID:26594302

  7. Exploratory Analysis of the Social Network of Researchers in Inductive Logic Programming

    NASA Astrophysics Data System (ADS)

    Lavrač, Nada; Grčar, Miha; Fortuna, Blaž; Velardi, Paola

    In this chapter, we present selected techniques for social network analysis and text mining and interpret the results of exploratory analysis of the social network of researchers in inductive logic programming (ILP), based on the ILP scientific publications database collected within the ILPnet2 project. Part of the analysis was performed with the Pajek software for large (social) network analyses, where the central entity of the analysis was the author, related to other authors by coauthorship links, weighted by the number of his or her publications registered in the ILPnet2 database. The chapter presents also a novel methodology for topic ontology learning from text documents. The proposed methodology, named OntoTermExtraction (Term Extraction for Ontology learning), is based on OntoGen, a semiautomated tool for topic ontology construction, upgraded by using an advanced terminology extraction tool in an iterative, semiautomated ontology construction process. The approach was successfully used for generating the ontology of topics in Inductive Logic Programming, learned semiautomatically from papers indexed in the ILPnet2 publications database.

  8. Applied spectrophotometry: analysis of a biochemical mixture.

    PubMed

    Trumbo, Toni A; Schultz, Emeric; Borland, Michael G; Pugh, Michael Eugene

    2013-01-01

    Spectrophotometric analysis is essential for determining biomolecule concentration of a solution and is employed ubiquitously in biochemistry and molecular biology. The application of the Beer-Lambert-Bouguer Lawis routinely used to determine the concentration of DNA, RNA or protein. There is however a significant difference in determining the concentration of a given species (RNA, DNA, protein) in isolation (a contrived circumstance) as opposed to determining that concentration in the presence of other species (a more realistic situation). To present the student with a more realistic laboratory experience and also to fill a hole that we believe exists in student experience prior to reaching a biochemistry course, we have devised a three week laboratory experience designed so that students learn to: connect laboratory practice with theory, apply the Beer-Lambert-Bougert Law to biochemical analyses, demonstrate the utility and limitations of example quantitative colorimetric assays, demonstrate the utility and limitations of UV analyses for biomolecules, develop strategies for analysis of a solution of unknown biomolecular composition, use digital micropipettors to make accurate and precise measurements, and apply graphing software. PMID:23625877

  9. Applied spectrophotometry: analysis of a biochemical mixture.

    PubMed

    Trumbo, Toni A; Schultz, Emeric; Borland, Michael G; Pugh, Michael Eugene

    2013-01-01

    Spectrophotometric analysis is essential for determining biomolecule concentration of a solution and is employed ubiquitously in biochemistry and molecular biology. The application of the Beer-Lambert-Bouguer Lawis routinely used to determine the concentration of DNA, RNA or protein. There is however a significant difference in determining the concentration of a given species (RNA, DNA, protein) in isolation (a contrived circumstance) as opposed to determining that concentration in the presence of other species (a more realistic situation). To present the student with a more realistic laboratory experience and also to fill a hole that we believe exists in student experience prior to reaching a biochemistry course, we have devised a three week laboratory experience designed so that students learn to: connect laboratory practice with theory, apply the Beer-Lambert-Bougert Law to biochemical analyses, demonstrate the utility and limitations of example quantitative colorimetric assays, demonstrate the utility and limitations of UV analyses for biomolecules, develop strategies for analysis of a solution of unknown biomolecular composition, use digital micropipettors to make accurate and precise measurements, and apply graphing software.

  10. The underlying relationships between the observed practices as revealed by an exploratory factor analysis of equip ratings

    NASA Astrophysics Data System (ADS)

    Nettles, Jenesta Rae

    The Electronic Quality of Inquiry Protocol (EQUIP) is an instrument to measure the amount and quality of inquiry instruction of science and mathematics classrooms. The EQUIP rubric includes detailed descriptions for the inquiry practices that it measures. This study analyzed a large dataset of Texas science teacher observations using a discriminant factor analysis and exploratory factor analysis. The discriminant factor analysis found the inquiry instruction practices of primary (1st-5th grade) science teachers and secondary (6th-12th grade) science teachers to differ greatly, with primary science teachers using inquiry practices more often than secondary science teachers. Based on this information the primary and secondary datasets were analyzed separately with the exploratory factor analysis. The resulting factors indicate a variety of differences in the observed practices. The results also, suggest that discourse practices play a divergent but influential role for both datasets. Potential implications for professional development and future research are discussed.

  11. MethVisual - visualization and exploratory statistical analysis of DNA methylation profiles from bisulfite sequencing

    PubMed Central

    2010-01-01

    Background Exploration of DNA methylation and its impact on various regulatory mechanisms has become a very active field of research. Simultaneously there is an arising need for tools to process and analyse the data together with statistical investigation and visualisation. Findings MethVisual is a new application that enables exploratory analysis and intuitive visualization of DNA methylation data as is typically generated by bisulfite sequencing. The package allows the import of DNA methylation sequences, aligns them and performs quality control comparison. It comprises basic analysis steps as lollipop visualization, co-occurrence display of methylation of neighbouring and distant CpG sites, summary statistics on methylation status, clustering and correspondence analysis. The package has been developed for methylation data but can be also used for other data types for which binary coding can be inferred. The application of the package, as well as a comparison to existing DNA methylation analysis tools and its workflow based on two datasets is presented in this paper. Conclusions The R package MethVisual offers various analysis procedures for data that can be binarized, in particular for bisulfite sequenced methylation data. R/Bioconductor has become one of the most important environments for statistical analysis of various types of biological and medical data. Therefore, any data analysis within R that allows the integration of various data types as provided from different technological platforms is convenient. It is the first and so far the only specific package for DNA methylation analysis, in particular for bisulfite sequenced data available in R/Bioconductor enviroment. The package is available for free at http://methvisual.molgen.mpg.de/ and from the Bioconductor Consortium http://www.bioconductor.org. PMID:21159174

  12. Building AN Integrated Web-Based Environment for Exploratory Spatiotemporal Data Analysis

    NASA Astrophysics Data System (ADS)

    She, B.; Zhu, X.; Xiao, W.

    2012-07-01

    Before conducting domain-specific modelling, one task faced by researchers is trying to effectively explore the data. There has been much research done to put spatiotemporal data analysis functions online. However, there is still a gap between the spatial data and the analysis procedures. Manually matching the data sources and the geoprocessing services would be a troublesome job for normal users. Furthermore, geoprocessing services published online are still limited and mostly target only static spatial data. This paper investigates an integrated web-based environment, which incorporates several open source software packages including PySAL, R, JTS, and customized implementations for exploratory functions such as the gravity model and the center-of-gravity model. Users can navigate spatial data and perform spatial analysis directly on them, without knowing the complexities of data transformation and integration. Both data sources and the analytic functions can be dynamically added. The environment released users from the great burden of intermediate data processing unrelated to their work.

  13. Exploratory Analysis of Carbon Dioxide Levels and Ultrasound Measures of the Eye During ISS Missions

    NASA Technical Reports Server (NTRS)

    Schaefer, C.; Young, M.; Mason, S.; Coble, C.; Wear, M. L.; Sargsyan, A.; Garcia, K.; Law. J.; Alexander, D.; Ryder, V. Myers; Van Baalen, M.

    2016-01-01

    Carbon dioxide (CO2) levels on ISS have typically averaged 2.3 to 5.3mm Hg, with large fluctuations occurring over periods of hours and days. CO2 has effects on cerebral vascular tone, resulting in vasodilation and alteration of cerebral blood flow(CBF). Increased CBF leads to elevated intracranial pressure(ICP), which is a factor leading to visual disturbance, headaches, and other central nervous system symptoms. Ultrasound of the optic nerve provides a surrogate measurement of ICP. Inflight ultrasounds were implemented as an enhanced screening tool for the Visual Impairment/Intracranial Pressure (VIIP) Syndrome. This analysis examines the relationships between ambient CO2 levels on ISS and ultrasound measures of the eye in an effort to understand how CO2 may be associated with VIIP and to inform future analysis of inflight VIIP data. Results as shown in Figure2, there was a large timeframe where CO2 readings were removed due to sensor fault errors(see Limitations), from June 2011 to January 2012. After extensive cleaning of the CO2 data, metrics for all of the data were calculated (Table2). Preliminary analyses showed possible associations between variability measures of CO2 and AP diameter (Figure3),and average CO2 exposure and ONSD(Figure4). Adjustments for multiple comparisons were not made due to the exploratory nature of the analysis.

  14. BeeSpace Navigator: exploratory analysis of gene function using semantic indexing of biological literature

    PubMed Central

    Sen Sarma, Moushumi; Arcoleo, David; Khetani, Radhika S.; Chee, Brant; Ling, Xu; He, Xin; Jiang, Jing; Mei, Qiaozhu; Zhai, ChengXiang; Schatz, Bruce

    2011-01-01

    With the rapid decrease in cost of genome sequencing, the classification of gene function is becoming a primary problem. Such classification has been performed by human curators who read biological literature to extract evidence. BeeSpace Navigator is a prototype software for exploratory analysis of gene function using biological literature. The software supports an automatic analogue of the curator process to extract functions, with a simple interface intended for all biologists. Since extraction is done on selected collections that are semantically indexed into conceptual spaces, the curation can be task specific. Biological literature containing references to gene lists from expression experiments can be analyzed to extract concepts that are computational equivalents of a classification such as Gene Ontology, yielding discriminating concepts that differentiate gene mentions from other mentions. The functions of individual genes can be summarized from sentences in biological literature, to produce results resembling a model organism database entry that is automatically computed. Statistical frequency analysis based on literature phrase extraction generates offline semantic indexes to support these gene function services. The website with BeeSpace Navigator is free and open to all; there is no login requirement at www.beespace.illinois.edu for version 4. Materials from the 2010 BeeSpace Software Training Workshop are available at www.beespace.illinois.edu/bstwmaterials.php. PMID:21558175

  15. Exploratory Analysis of Biological Networks through Visualization, Clustering, and Functional Annotation in Cytoscape.

    PubMed

    Baryshnikova, Anastasia

    2016-01-01

    Biological networks define how genes, proteins, and other cellular components interact with one another to carry out specific functions, providing a scaffold for understanding cellular organization. Although in-depth network analysis requires advanced mathematical and computational knowledge, a preliminary visual exploration of biological networks is accessible to anyone with basic computer skills. Visualization of biological networks is used primarily to examine network topology, identify functional modules, and predict gene functions based on gene connectivity within the network. Networks are excellent at providing a bird's-eye view of data sets and have the power of illustrating complex ideas in simple and intuitive terms. In addition, they enable exploratory analysis and generation of new hypotheses, which can then be tested using rigorous statistical and experimental tools. This protocol describes a simple procedure for visualizing a biological network using the genetic interaction similarity network for Saccharomyces cerevisiae as an example. The visualization procedure described here relies on the open-source network visualization software Cytoscape and includes detailed instructions on formatting and loading the data, clustering networks, and overlaying functional annotations. PMID:26988373

  16. The underlying factor structure of National Institutes of Health Stroke scale: an exploratory factor analysis.

    PubMed

    Zandieh, Ali; Kahaki, Zahra Zeynali; Sadeghian, Homa; Pourashraf, Maryam; Parviz, Sara; Ghaffarpour, Majid; Ghabaee, Mojdeh

    2012-03-01

    The underlying structure of National Institutes of Health Stroke Scale (NIHSS) as the most widely used scale in clinical trials has been the focus of little attention. The aim of the current study was to elucidate the clustering pattern of NIHSS items in ischemic stroke patients. A series of 152 consecutive patients with first-ever ischemic strokes admitted to a university affiliated hospital were enrolled. NIHSS score was estimated on admission and correlation coefficients between its items were calculated. Further, exploratory factor analysis was used to study the clustering pattern of NIHSS items. Extinction neglect, visual field, and facial palsy were weakly associated with other NIHSS items. Factor analysis led to a four-factor structure. Factors 1 and 3 were determined by left brain function as items of right arm and leg motor, language and dysarthria loaded on both of them. By contrast, factor 2 reflected right brain involvement. Since visual field and ataxia loaded on factor 4, this factor was primarily associated with posterior strokes. Our study shows that a four-factor structure model is plausible for NIHSS. Further, for the first time, a single distinct factor is identified for posterior strokes. PMID:22023373

  17. BeeSpace Navigator: exploratory analysis of gene function using semantic indexing of biological literature.

    PubMed

    Sen Sarma, Moushumi; Arcoleo, David; Khetani, Radhika S; Chee, Brant; Ling, Xu; He, Xin; Jiang, Jing; Mei, Qiaozhu; Zhai, ChengXiang; Schatz, Bruce

    2011-07-01

    With the rapid decrease in cost of genome sequencing, the classification of gene function is becoming a primary problem. Such classification has been performed by human curators who read biological literature to extract evidence. BeeSpace Navigator is a prototype software for exploratory analysis of gene function using biological literature. The software supports an automatic analogue of the curator process to extract functions, with a simple interface intended for all biologists. Since extraction is done on selected collections that are semantically indexed into conceptual spaces, the curation can be task specific. Biological literature containing references to gene lists from expression experiments can be analyzed to extract concepts that are computational equivalents of a classification such as Gene Ontology, yielding discriminating concepts that differentiate gene mentions from other mentions. The functions of individual genes can be summarized from sentences in biological literature, to produce results resembling a model organism database entry that is automatically computed. Statistical frequency analysis based on literature phrase extraction generates offline semantic indexes to support these gene function services. The website with BeeSpace Navigator is free and open to all; there is no login requirement at www.beespace.illinois.edu for version 4. Materials from the 2010 BeeSpace Software Training Workshop are available at www.beespace.illinois.edu/bstwmaterials.php.

  18. On differentiation in applied behavior analysis

    PubMed Central

    Fawcett, Stephen B.

    1985-01-01

    Distinct types of activity in the field of applied behavior analysis are noted and discussed. Four metaphorical types of activity are considered: prospecting, farming, building, and guiding. Prospecting consists of time-limited exploration of a variety of beaviors, populations, or settings. Farming consists of producing new behaviors in the same setting using independent variables provided by the researchers or normally available in the setting. Building consists of combining procedural elements to create new programs or systems or to rehabilitate aspects of existing programs. Guiding involves pointing out connections between the principles of human behavior and the problems, populations, settings, and procedures with which researchers are (or could be) working. Advantages of each sphere are noted, and benefits of this division of labor to the field as a whole are discussed. PMID:22478631

  19. A novel exploratory chemometric approach to environmental monitorring by combining block clustering with Partial Least Square (PLS) analysis

    PubMed Central

    2013-01-01

    Background Given the serious threats posed to terrestrial ecosystems by industrial contamination, environmental monitoring is a standard procedure used for assessing the current status of an environment or trends in environmental parameters. Measurement of metal concentrations at different trophic levels followed by their statistical analysis using exploratory multivariate methods can provide meaningful information on the status of environmental quality. In this context, the present paper proposes a novel chemometric approach to standard statistical methods by combining the Block clustering with Partial least square (PLS) analysis to investigate the accumulation patterns of metals in anthropized terrestrial ecosystems. The present study focused on copper, zinc, manganese, iron, cobalt, cadmium, nickel, and lead transfer along a soil-plant-snai food chain, and the hepatopancreas of the Roman snail (Helix pomatia) was used as a biological end-point of metal accumulation. Results Block clustering deliniates between the areas exposed to industrial and vehicular contamination. The toxic metals have similar distributions in the nettle leaves and snail hepatopancreas. PLS analysis showed that (1) zinc and copper concentrations at the lower trophic levels are the most important latent factors that contribute to metal accumulation in land snails; (2) cadmium and lead are the main determinants of pollution pattern in areas exposed to industrial contamination; (3) at the sites located near roads lead is the most threatfull metal for terrestrial ecosystems. Conclusion There were three major benefits by applying block clustering with PLS for processing the obtained data: firstly, it helped in grouping sites depending on the type of contamination. Secondly, it was valuable for identifying the latent factors that contribute the most to metal accumulation in land snails. Finally, it optimized the number and type of data that are best for monitoring the status of metallic

  20. Artificial intelligence technologies applied to terrain analysis

    SciTech Connect

    Wright, J.C. ); Powell, D.R. )

    1990-01-01

    The US Army Training and Doctrine Command is currently developing, in cooperation with Los Alamos National Laboratory, a Corps level combat simulation to support military analytical studies. This model emphasizes high resolution modeling of the command and control processes, with particular attention to architectural considerations that enable extension of the model. A planned future extension is the inclusion of an computer based planning capability for command echelons that can be dynamical invoked during the execution of then model. Command and control is the process through which the activities of military forces are directed, coordinated, and controlled to achieve the stated mission. To perform command and control the commander must understand the mission, perform terrain analysis, understand his own situation and capabilities as well as the enemy situation and his probable actions. To support computer based planning, data structures must be available to support the computer's ability to understand'' the mission, terrain, own capabilities, and enemy situation. The availability of digitized terrain makes it feasible to apply artificial intelligence technologies to emulate the terrain analysis process, producing data structures for uses in planning. The work derived thus for to support the understanding of terrain is the topic of this paper. 13 refs., 5 figs., 6 tabs.

  1. Exploratory Disposal and Reuse Feasibility Analysis of Winter Maintenance Wash Water

    PubMed Central

    2016-01-01

    The Ohio Department of Transportation has more than 60 facilities without sewer access generating approximately 19 million gallons of winter maintenance wash water. Off-site disposal is costly, creating the need for sustainable management strategies. The objective of this study was to conduct an exploratory feasibility analysis to assess wash water disposal and potential reuse as brine. Based on a comprehensive literature review and relevant environmental chemistry, a sampling protocol consisting of 31 water quality constituents was utilized for monthly sampling at three geographically distinct Ohio Department of Transportation garages during the winter of 2012. Results were compared to local disposal and reuse guidance limits. Three constituents, including a maximum copper concentration of 858 ppb, exceeded disposal limits, and many constituents also failed to meet reuse limits. Some concentrations were orders of magnitude higher than reuse limits and suggest pre-treatment would be necessary if wash water were reused as brine. These water quality results, in conjunction with copper chemical equilibrium modeling, show pH and dissolved carbon both significantly impact the total dissolved copper concentration and should be measured to assess reuse potential. The sampling protocol and specific obstacles highlighted in this paper aid in the future development of sustainable wash water management strategies. PMID:26908148

  2. Exploratory Disposal and Reuse Feasibility Analysis of Winter Maintenance Wash Water.

    PubMed

    Ullinger, Heather L; Kennedy, Marla J; Schneider, William H; Miller, Christopher M

    2016-01-01

    The Ohio Department of Transportation has more than 60 facilities without sewer access generating approximately 19 million gallons of winter maintenance wash water. Off-site disposal is costly, creating the need for sustainable management strategies. The objective of this study was to conduct an exploratory feasibility analysis to assess wash water disposal and potential reuse as brine. Based on a comprehensive literature review and relevant environmental chemistry, a sampling protocol consisting of 31 water quality constituents was utilized for monthly sampling at three geographically distinct Ohio Department of Transportation garages during the winter of 2012. Results were compared to local disposal and reuse guidance limits. Three constituents, including a maximum copper concentration of 858 ppb, exceeded disposal limits, and many constituents also failed to meet reuse limits. Some concentrations were orders of magnitude higher than reuse limits and suggest pre-treatment would be necessary if wash water were reused as brine. These water quality results, in conjunction with copper chemical equilibrium modeling, show pH and dissolved carbon both significantly impact the total dissolved copper concentration and should be measured to assess reuse potential. The sampling protocol and specific obstacles highlighted in this paper aid in the future development of sustainable wash water management strategies. PMID:26908148

  3. Exploratory Disposal and Reuse Feasibility Analysis of Winter Maintenance Wash Water.

    PubMed

    Ullinger, Heather L; Kennedy, Marla J; Schneider, William H; Miller, Christopher M

    2016-01-01

    The Ohio Department of Transportation has more than 60 facilities without sewer access generating approximately 19 million gallons of winter maintenance wash water. Off-site disposal is costly, creating the need for sustainable management strategies. The objective of this study was to conduct an exploratory feasibility analysis to assess wash water disposal and potential reuse as brine. Based on a comprehensive literature review and relevant environmental chemistry, a sampling protocol consisting of 31 water quality constituents was utilized for monthly sampling at three geographically distinct Ohio Department of Transportation garages during the winter of 2012. Results were compared to local disposal and reuse guidance limits. Three constituents, including a maximum copper concentration of 858 ppb, exceeded disposal limits, and many constituents also failed to meet reuse limits. Some concentrations were orders of magnitude higher than reuse limits and suggest pre-treatment would be necessary if wash water were reused as brine. These water quality results, in conjunction with copper chemical equilibrium modeling, show pH and dissolved carbon both significantly impact the total dissolved copper concentration and should be measured to assess reuse potential. The sampling protocol and specific obstacles highlighted in this paper aid in the future development of sustainable wash water management strategies.

  4. Are they all the same? An exploratory, categorical analysis of drinking game types☆

    PubMed Central

    LaBrie, Joseph W.; Ehret, Phillip J.; Hummer, Justin F.

    2013-01-01

    Drinking games have become a ubiquitous part of the college student drinking culture and are associated with drinking to intoxication and increased alcohol consequences. Contemporary research commonly considers drinking games holistically, with little to no consideration to the different drinking game types. The current study describes the creation of a novel DG categorization scheme and reports differences between DG categories. Participants were 3421 college students (58% female) who completed online surveys. Based on participant responses, 100 distinct drinking games were identified and defined. Two student focus groups were conducted in which drinking game definitions and rules were verified by students. Drinking games were then categorized into five mutually exclusive categories: Targeted and Skill games, Communal games, Chance games, Extreme Consumption games, and Even Competition games. Finally, the frequency of games played in each category and typical player profiles were reported. Differences in peak drinks and frequency of specific alcohol consequences were documented according to game categories. The findings provide a novel drinking game categorization scheme and an exploratory analysis of basic differences between game categories. PMID:23435275

  5. Exploratory factor analysis for differentiating sensory and mechanical variables related to muscle-tendon unit elongation

    PubMed Central

    Chagas, Mauro H.; Magalhães, Fabrício A.; Peixoto, Gustavo H. C.; Pereira, Beatriz M.; Andrade, André G. P.; Menzel, Hans-Joachim K.

    2016-01-01

    ABSTRACT Background Stretching exercises are able to promote adaptations in the muscle-tendon unit (MTU), which can be tested through physiological and biomechanical variables. Identifying the key variables in MTU adaptations is crucial to improvements in training. Objective To perform an exploratory factor analysis (EFA) involving the variables often used to evaluate the response of the MTU to stretching exercises. Method Maximum joint range of motion (ROMMAX), ROM at first sensation of stretching (FSTROM), peak torque (torqueMAX), passive stiffness, normalized stiffness, passive energy, and normalized energy were investigated in 36 participants during passive knee extension on an isokinetic dynamometer. Stiffness and energy values were normalized by the muscle cross-sectional area and their passive mode assured by monitoring the EMG activity. Results EFA revealed two major factors that explained 89.68% of the total variance: 53.13% was explained by the variables torqueMAX, passive stiffness, normalized stiffness, passive energy, and normalized energy, whereas the remaining 36.55% was explained by the variables ROMMAX and FSTROM. Conclusion This result supports the literature wherein two main hypotheses (mechanical and sensory theories) have been suggested to describe the adaptations of the MTU to stretching exercises. Contrary to some studies, in the present investigation torqueMAX was significantly correlated with the variables of the mechanical theory rather than those of the sensory theory. Therefore, a new approach was proposed to explain the behavior of the torqueMAX during stretching exercises. PMID:27437715

  6. Viewpoints: A High-Performance High-Dimensional Exploratory Data Analysis Tool

    NASA Astrophysics Data System (ADS)

    Gazis, P. R.; Levit, C.; Way, M. J.

    2010-12-01

    Scientific data sets continue to increase in both size and complexity. In the past, dedicated graphics systems at supercomputing centers were required to visualize large data sets, but as the price of commodity graphics hardware has dropped and its capability has increased, it is now possible, in principle, to view large complex data sets on a single workstation. To do this in practice, an investigator will need software that is written to take advantage of the relevant graphics hardware. The Viewpoints visualization package described herein is an example of such software. Viewpoints is an interactive tool for exploratory visual analysis of large high-dimensional (multivariate) data. It leverages the capabilities of modern graphics boards (GPUs) to run on a single workstation or laptop. Viewpoints is minimalist: it attempts to do a small set of useful things very well (or at least very quickly) in comparison with similar packages today. Its basic feature set includes linked scatter plots with brushing, dynamic histograms, normalization, and outlier detection/removal. Viewpoints was originally designed for astrophysicists, but it has since been used in a variety of fields that range from astronomy, quantum chemistry, fluid dynamics, machine learning, bioinformatics, and finance to information technology server log mining. In this article, we describe the Viewpoints package and show examples of its usage.

  7. An Exploratory Framework for Combining CFD Analysis and Evolutionary Optimization into a Single Integrated Computational Environment

    SciTech Connect

    McCorkle, Douglas S.; Bryden, Kenneth M.

    2011-01-01

    Several recent reports and workshops have identified integrated computational engineering as an emerging technology with the potential to transform engineering design. The goal is to integrate geometric models, analyses, simulations, optimization and decision-making tools, and all other aspects of the engineering process into a shared, interactive computer-generated environment that facilitates multidisciplinary and collaborative engineering. While integrated computational engineering environments can be constructed from scratch with high-level programming languages, the complexity of these proposed environments makes this type of approach prohibitively slow and expensive. Rather, a high-level software framework is needed to provide the user with the capability to construct an application in an intuitive manner using existing models and engineering tools with minimal programming. In this paper, we present an exploratory open source software framework that can be used to integrate the geometric models, computational fluid dynamics (CFD), and optimization tools needed for shape optimization of complex systems. This framework is demonstrated using the multiphase flow analysis of a complete coal transport system for an 800 MW pulverized coal power station. The framework uses engineering objects and three-dimensional visualization to enable the user to interactively design and optimize the performance of the coal transport system.

  8. Rotation to a partially specified target matrix in exploratory factor analysis in practice.

    PubMed

    Myers, Nicholas D; Jin, Ying; Ahn, Soyeon; Celimli, Seniz; Zopluoglu, Cengiz

    2015-06-01

    The purpose of the present study was to explore the influence of the number of targets specified on the quality of exploratory factor analysis solutions with a complex underlying structure and incomplete substantive measurement theory. We extended previous research in this area by (a) exploring this phenomenon in situations in which both the common factor model and the targeted pattern matrix contained specification errors and (b) comparing the performance of target rotation to an easier-to-use default rotation criterion (i.e., geomin) under conditions commonly observed in practice. A Monte Carlo study manipulated target error, number of targets, model error, overdetermination, communality, and sample size. Outcomes included bias (i.e., accuracy) and variability (i.e., stability) with regard to the rotated pattern matrix. The effects of target error were negligible for both accuracy and stability, whereas small effects were observed for the number of targets for both outcomes. Further, target rotation outperformed geomin rotation with regard to accuracy but generally performed worse than geomin rotation with regard to stability. These findings underscore the potential importance (or caution, in the case of stability) of using extant, even if incomplete and somewhat inaccurate, substantive measurement theory to inform the rotation criterion in a nonmechanical way. PMID:24903693

  9. Determinants of personal protective equipment (PPE) use in UK motorcyclists: exploratory research applying an extended theory of planned behaviour.

    PubMed

    Norris, Emma; Myers, Lynn

    2013-11-01

    Despite evident protective value of motorcycle personal protective equipment (PPE), no research has assessed considerations behind its uptake in UK riders. A cross-sectional online questionnaire design was employed, with riders (n=268) recruited from online motorcycle forums. Principal component analysis found four PPE behavioural outcomes. Theoretical factors of intentions, attitudes, injunctive and descriptive subjective norms, risk perceptions, anticipated regret, benefits and habit were also identified for further analysis. High motorcycle jacket, trousers and boots wear, middling high-visibility wear and low non-Personal Protective Equipment wear were found. Greater intentions, anticipated regret and perceived benefits were significantly associated with increased motorcycle jacket, trousers and boots wear, with habit presence and scooter use significantly associated with increased high-visibility wear. Lower intentions, anticipated regret and risk perceptions, being female, not holding a car licence and urban riding were significantly associated with increased non-PPE wear. A need for freedom of choice and mixed attitudes towards PPE use were evident in additional comments. PPE determinants in this sample provide a preliminary basis for future uptake interventions. Larger scale and qualitative research is needed to further investigate relevant constructs.

  10. Determinants of personal protective equipment (PPE) use in UK motorcyclists: exploratory research applying an extended theory of planned behaviour.

    PubMed

    Norris, Emma; Myers, Lynn

    2013-11-01

    Despite evident protective value of motorcycle personal protective equipment (PPE), no research has assessed considerations behind its uptake in UK riders. A cross-sectional online questionnaire design was employed, with riders (n=268) recruited from online motorcycle forums. Principal component analysis found four PPE behavioural outcomes. Theoretical factors of intentions, attitudes, injunctive and descriptive subjective norms, risk perceptions, anticipated regret, benefits and habit were also identified for further analysis. High motorcycle jacket, trousers and boots wear, middling high-visibility wear and low non-Personal Protective Equipment wear were found. Greater intentions, anticipated regret and perceived benefits were significantly associated with increased motorcycle jacket, trousers and boots wear, with habit presence and scooter use significantly associated with increased high-visibility wear. Lower intentions, anticipated regret and risk perceptions, being female, not holding a car licence and urban riding were significantly associated with increased non-PPE wear. A need for freedom of choice and mixed attitudes towards PPE use were evident in additional comments. PPE determinants in this sample provide a preliminary basis for future uptake interventions. Larger scale and qualitative research is needed to further investigate relevant constructs. PMID:24076303

  11. An Exploratory Energy Analysis of Electrochromic Windows in Small and Medium Office Buildings - Simulated Results Using EnergyPlus

    SciTech Connect

    Belzer, David B.

    2010-08-01

    The Department of Energy’s (DOE) Building Technologies Program (BTP) has had an active research program in supporting the development of electrochromic (EC) windows. Electrochromic glazings used in these windows have the capability of varying the transmittance of light and heat in response to an applied voltage. This dynamic property allows these windows to reduce lighting, cooling, and heating energy in buildings where they are employed. The exploratory analysis described in this report examined three different variants of EC glazings, characterized by the amount of visible light and solar heat gain (as measured by the solar heat gain coefficients [SHGC] in their “clear” or transparent states). For these EC glazings, the dynamic range of the SHGC’s between their “dark” (or tinted) state and the clear state were: (0.22 - 0.70, termed “high” SHGC); (0.16 - 0.39, termed “low” SHGC); and (0.13 - 0.19; termed “very low” SHGC). These glazings are compared to conventional (static) glazing that meets the ASHRAE Standard 90.1-2004 energy standard for five different locations in the U.S. All analysis used the EnergyPlus building energy simulation program for modeling EC windows and alternative control strategies. The simulations were conducted for a small and a medium office building, where engineering specifications were taken from the set of Commercial Building Benchmark building models developed by BTP. On the basis of these simulations, total source-level savings in these buildings were estimated to range between 2 to 7%, depending on the amount of window area and building location.

  12. Magnetic Analysis Techniques Applied to Desert Varnish

    NASA Technical Reports Server (NTRS)

    Schmidgall, E. R.; Moskowitz, B. M.; Dahlberg, E. D.; Kuhlman, K. R.

    2003-01-01

    Desert varnish is a black or reddish coating commonly found on rock samples from arid regions. Typically, the coating is very thin, less than half a millimeter thick. Previous research has shown that the primary components of desert varnish are silicon oxide clay minerals (60%), manganese and iron oxides (20-30%), and trace amounts of other compounds [1]. Desert varnish is thought to originate when windborne particles containing iron and manganese oxides are deposited onto rock surfaces where manganese oxidizing bacteria concentrate the manganese and form the varnish [4,5]. If desert varnish is indeed biogenic, then the presence of desert varnish on rock surfaces could serve as a biomarker, indicating the presence of microorganisms. This idea has considerable appeal, especially for Martian exploration [6]. Magnetic analysis techniques have not been extensively applied to desert varnish. The only previous magnetic study reported that based on room temperature demagnetization experiments, there were noticeable differences in magnetic properties between a sample of desert varnish and the substrate sandstone [7]. Based upon the results of the demagnetization experiments, the authors concluded that the primary magnetic component of desert varnish was either magnetite (Fe3O4) or maghemite ( Fe2O3).

  13. Analysis of the interaction between experimental and applied behavior analysis.

    PubMed

    Virues-Ortega, Javier; Hurtado-Parrado, Camilo; Cox, Alison D; Pear, Joseph J

    2014-01-01

    To study the influences between basic and applied research in behavior analysis, we analyzed the coauthorship interactions of authors who published in JABA and JEAB from 1980 to 2010. We paid particular attention to authors who published in both JABA and JEAB (dual authors) as potential agents of cross-field interactions. We present a comprehensive analysis of dual authors' coauthorship interactions using social networks methodology and key word analysis. The number of dual authors more than doubled (26 to 67) and their productivity tripled (7% to 26% of JABA and JEAB articles) between 1980 and 2010. Dual authors stood out in terms of number of collaborators, number of publications, and ability to interact with multiple groups within the field. The steady increase in JEAB and JABA interactions through coauthors and the increasing range of topics covered by dual authors provide a basis for optimism regarding the progressive integration of basic and applied behavior analysis.

  14. System Learning via Exploratory Data Analysis: Seeing Both the Forest and the Trees

    NASA Astrophysics Data System (ADS)

    Habash Krause, L.

    2014-12-01

    As the amount of observational Earth and Space Science data grows, so does the need for learning and employing data analysis techniques that can extract meaningful information from those data. Space-based and ground-based data sources from all over the world are used to inform Earth and Space environment models. However, with such a large amount of data comes a need to organize those data in a way such that trends within the data are easily discernible. This can be tricky due to the interaction between physical processes that lead to partial correlation of variables or multiple interacting sources of causality. With the suite of Exploratory Data Analysis (EDA) data mining codes available at MSFC, we have the capability to analyze large, complex data sets and quantitatively identify fundamentally independent effects from consequential or derived effects. We have used these techniques to examine the accuracy of ionospheric climate models with respect to trends in ionospheric parameters and space weather effects. In particular, these codes have been used to 1) Provide summary "at-a-glance" surveys of large data sets through categorization and/or evolution over time to identify trends, distribution shapes, and outliers, 2) Discern the underlying "latent" variables which share common sources of causality, and 3) Establish a new set of basis vectors by computing Empirical Orthogonal Functions (EOFs) which represent the maximum amount of variance for each principal component. Some of these techniques are easily implemented in the classroom using standard MATLAB functions, some of the more advanced applications require the statistical toolbox, and applications to unique situations require more sophisiticated levels of programming. This paper will present an overview of the range of tools available and how they might be used for a variety of time series Earth and Space Science data sets. Examples of feature recognition from both 1D and 2D (e.g. imagery) time series data

  15. Does saline resuscitation affect mechanisms of coagulopathy in critically ill trauma patients? An exploratory analysis.

    PubMed

    Smith, Caitlin A; Gosselin, Robert C; Utter, Garth H; Galante, Joseph M; Young, Jason B; Scherer, Lynette A; Schermer, Carol R

    2015-04-01

    Metabolic acidosis has been implicated in the development of coagulopathy, although the specific mechanisms have not been well characterized. We sought to explore whether resuscitation of injured patients with a balanced crystalloid solution affects coagulation, as measured by endogenous thrombin potential (ETP) and thromboelastography (TEG). We performed an exploratory analysis of a subset of subjects enrolled in a randomized trial comparing the effect of resuscitation with isotonic saline versus Plasma-Lyte A (PLA) on acidosis and electrolyte abnormalities. We collected plasma at admission and 6 h later for subsequent ETP and TEG analysis and compared subjects receiving isotonic saline to those receiving PLA. Among 18 evaluated subjects, baseline characteristics, including ETP and TEG parameters, were similar between the two arms. At 6 h, subjects receiving isotonic saline were more acidemic. At 6 h, there were no differences in ETP parameters between groups; however, TEG results showed the time from initial clot formation to an amplitude of 20 mm (K) was shorter (3.8 ± 2.1 vs. 7.2 ± 2.8 s) and the rapidity of fibrin build-up and cross-linking (α angle) was significantly greater (41 ± 8 vs. 24 ± 15 deg) for the PLA group than in the isotonic saline group. Relative to PLA, isotonic saline does not alter thrombin generation, but isotonic saline and PLA may differentially impact clotting factor availability. The shorter time to reach prespecified clot amplitude and the increased rate of fibrin generation imply faster amplification of clotting factors with PLA without effect on latency time or clot strength. PMID:25803514

  16. The In-Out dispositional affective style questionnaire (IN-OUT DASQ): an exploratory factorial analysis

    PubMed Central

    Mazzola, Viridiana; Marano, Giuseppe; Biganzoli, Elia M.; Boracchi, Patrizia; Lanciano, Tiziana; Arciero, Giampiero; Bondolfi, Guido

    2014-01-01

    The issue of individual differences has always been an important area of research in psychology and, more recently, neuroimaging. A major source of interindividual variability stems from differences in basic affective dispositions. In order to make a contribution to this field of research, we have developed a new type of assessment – the In-Out dispositional affective style questionnaire (IN-OUT DASQ) – to measure the proneness between two different ways of feeling situated: a predominantly body-bound one in the case of the inward tendency and an externally anchored one in the case of the outward tendency (Arciero and Bondolfi, 2009). The IN-OUT DASQ contains two scales of seven items each, Self-centric engagement (SCE) and Other-centric engagement (OCE), as a disposition index for inwardness and outwardness respectively. The exploratory factor analysis in sample 1 (n = 292) confirmed a two-factor solution. Confirmatory factor analysis in sample 2 (n = 300) showed the good fit of this two-factor model. Next, we examined construct validity also investigating the correlations between the IN-OUT DASQ, the Big Five Questionnaire and the Positive and Negative Affect Schedule in sample 3 (n = 153). The SCE and OCE scales had robust internal consistency and reliability, though the capacity to discriminate higher inward and outward participants was stronger in SCE. Although further validation research is required, the present study suggests the IN-OUT DASQ has the potential to be a measurement tool for detecting individual differences in social behavior and social affective neuroscience. PMID:25309478

  17. Exploratory Structural Equation Modeling

    ERIC Educational Resources Information Center

    Asparouhov, Tihomir; Muthen, Bengt

    2009-01-01

    Exploratory factor analysis (EFA) is a frequently used multivariate analysis technique in statistics. Jennrich and Sampson (1966) solved a significant EFA factor loading matrix rotation problem by deriving the direct Quartimin rotation. Jennrich was also the first to develop standard errors for rotated solutions, although these have still not made…

  18. Moving Forward: Positive Behavior Support and Applied Behavior Analysis

    ERIC Educational Resources Information Center

    Tincani, Matt

    2007-01-01

    A controversy has emerged about the relationship between positive behavior support and applied behavior analysis. Some behavior analysts suggest that positive behavior support and applied behavior analysis are the same (e.g., Carr & Sidener, 2002). Others argue that positive behavior support is harmful to applied behavior analysis (e.g., Johnston,…

  19. Exploratory Factor Analysis and Psychometric Evaluation of the Teacher Reporting Attitude Scale for Child Sexual Abuse

    ERIC Educational Resources Information Center

    Walsh, Kerryann; Rassafiani, Mehdi; Mathews, Ben; Farrell, Ann; Butler, Des

    2012-01-01

    This paper presents an evaluation of an instrument to measure teachers' attitudes toward reporting child sexual abuse and discusses the instrument's merit for research into reporting practice. Based on responses from 444 Australian teachers, the Teachers' Reporting Attitude Scale for Child Sexual Abuse was evaluated using exploratory factor…

  20. Are Review Skills and Academic Writing Skills Related? An Exploratory Analysis via Multi Source Feedback Tools

    ERIC Educational Resources Information Center

    Razi, Salim

    2016-01-01

    Because students learn from each other as well as lecturers, it is important to create opportunities for collaboration in writing classes. Teachers now benefit from access to plagiarism detectors that can also provide feedback. This exploratory study considers the role of four review types, open and anonymous, involving the students themselves,…

  1. Exploratory Nuclear Reactor Safety Analysis and Visualization via Integrated Topological and Geometric Techniques

    SciTech Connect

    Dan Maljovec; Bei Wang; Valerio Pascucci; Peer-Timo Bremer; Diego Mandelli; Michael Pernice; Robert Nourgaliev

    2013-10-01

    and 2) topology-based methodologies to interactively visualize multidimensional data and extract risk-informed insights. Regarding item 1) we employ learning algorithms that aim to infer/predict simulation outcome and decide the coordinate in the input space of the next sample that maximize the amount of information that can be gained from it. Such methodologies can be used to both explore and exploit the input space. The later one is especially used for safety analysis scopes to focus samples along the limit surface, i.e. the boundaries in the input space between system failure and system success. Regarding item 2) we present a software tool that is designed to analyze multi-dimensional data. We model a large-scale nuclear simulation dataset as a high-dimensional scalar function defined over a discrete sample of the domain. First, we provide structural analysis of such a function at multiple scales and provide insight into the relationship between the input parameters and the output. Second, we enable exploratory analysis for users, where we help the users to differentiate features from noise through multi-scale analysis on an interactive platform, based on domain knowledge and data characterization. Our analysis is performed by exploiting the topological and geometric properties of the domain, building statistical models based on its topological segmentations and providing interactive visual interfaces to facilitate such explorations.

  2. Illness Beliefs regarding the Causes of Diabetes among Latino College Students: An Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Santos, Silvia J.; Hurtado-Ortiz, Maria T.; Sneed, Carl D.

    2009-01-01

    This study examined the validity of the Klonoff and Landrine Illness-Belief Scale when applied to Latino college students (n = 156; 34% male, 66% female) at high risk for future diabetes onset. Principal factor analysis yielded four significant factors--emotional, folk beliefs, punitive, gene/hereditary--which accounted for 64.5% of variance and…

  3. Introduction: Conversation Analysis in Applied Linguistics

    ERIC Educational Resources Information Center

    Sert, Olcay; Seedhouse, Paul

    2011-01-01

    This short, introductory paper presents an up-to-date account of works within the field of Applied Linguistics which have been influenced by a Conversation Analytic paradigm. The article reviews recent studies in classroom interaction, materials development, proficiency assessment and language teacher education. We believe that the publication of…

  4. Tampa Scale of Kinesiophobia for Heart Turkish Version Study: cross-cultural adaptation, exploratory factor analysis, and reliability

    PubMed Central

    Acar, Serap; Savci, Sema; Keskinoğlu, Pembe; Akdeniz, Bahri; Özpelit, Ebru; Özcan Kahraman, Buse; Karadibak, Didem; Sevinc, Can

    2016-01-01

    Purpose Individuals with cardiac problems avoid physical activity and exercise because they expect to feel shortness of breath, dizziness, or chest pain. Assessing kinesiophobia related to heart problems is important in terms of cardiac rehabilitation. The Tampa Scale of Kinesiophobia Swedish Version for the Heart (TSK-SV Heart) is reliable and has been validated for cardiac diseases in the Swedish population. The aim of this study was to investigate the reliability, parallel-form validity, and exploratory factor analysis of the TSK for the Heart Turkish Version (TSK Heart Turkish Version) for evaluating kinesiophobia in patients with heart failure and pulmonary arterial hypertension. Methods This cross-sectional study involved translation, back translation, and cross-cultural adaptation (localization). Forty-three pulmonary arterial hypertension and 32 heart failure patients were evaluated using the TSK Heart Turkish Version. The 17-item scale, originally composed for the Swedish population, has four factors: perceived danger for heart problem, avoidance of exercise, fear of injury, and dysfunctional self. Cronbach’s alpha (internal consistency) and exploratory factor analysis were used to assess the questionnaire’s reliability. Results of the patients in the 6-minute walk test, International Physical Activity Questionnaire, and Nottingham Health Profile were analyzed by Pearson’s correlation analysis with the TSK Heart Turkish Version to indicate the convergent validity. Results Cronbach’s alpha for the TSK Heart Turkish Version was 0.75, indicating acceptable internal consistency. Although exploratory factor analysis showed a different subgroup distribution than the original questionnaire, the model was acceptable for the four-factor model hypothesis. Therefore, the questionnaire was rated as reliable. Conclusion These results supported the reliability of the TSK Heart Turkish Version. Since the acceptable four-factor model fits the subgroups and

  5. Statistical Uncertainty Analysis Applied to Criticality Calculation

    SciTech Connect

    Hartini, Entin; Andiwijayakusuma, Dinan; Susmikanti, Mike; Nursinta, A. W.

    2010-06-22

    In this paper, we present an uncertainty methodology based on a statistical approach, for assessing uncertainties in criticality prediction using monte carlo method due to uncertainties in the isotopic composition of the fuel. The methodology has been applied to criticality calculations with MCNP5 with additional stochastic input of the isotopic fuel composition. The stochastic input were generated using the latin hypercube sampling method based one the probability density function of each nuclide composition. The automatic passing of the stochastic input to the MCNP and the repeated criticality calculation is made possible by using a python script to link the MCNP and our latin hypercube sampling code.

  6. Applying texture analysis to materials engineering problems

    NASA Astrophysics Data System (ADS)

    Knorr, D. B.; Weiland, H.; Szpunar, J. A.

    1994-09-01

    Textures in materials have been studied extensively since the 1930s following the pioneering work of Wassermann.1,2 The modern era of texture measurement started in 1949 with the development of the x-ray pole figure technique for texture measurement by Schultz.3 Finally, modern texture analysis was initiated with the publication by Bunge4 and Roe5 of a mathematical method of pole figure inversion, which is now used to calculate the orientation distribution function (ODF). This article cannot summarize such an extensive body of work, but it does endeavor to provide the background necessary to understand texture analysis; it also illustrates several applications of texture.

  7. An Exploratory Statistical Analysis of a Planet Approach-Phase Guidance Scheme Using Angular Measurements with Significant Error

    NASA Technical Reports Server (NTRS)

    Friedlander, Alan L.; Harry, David P., III

    1960-01-01

    An exploratory analysis of vehicle guidance during the approach to a target planet is presented. The objective of the guidance maneuver is to guide the vehicle to a specific perigee distance with a high degree of accuracy and minimum corrective velocity expenditure. The guidance maneuver is simulated by considering the random sampling of real measurements with significant error and reducing this information to prescribe appropriate corrective action. The instrumentation system assumed includes optical and/or infrared devices to indicate range and a reference angle in the trajectory plane. Statistical results are obtained by Monte-Carlo techniques and are shown as the expectation of guidance accuracy and velocity-increment requirements. Results are nondimensional and applicable to any planet within limits of two-body assumptions. The problem of determining how many corrections to make and when to make them is a consequence of the conflicting requirement of accurate trajectory determination and propulsion. Optimum values were found for a vehicle approaching a planet along a parabolic trajectory with an initial perigee distance of 5 radii and a target perigee of 1.02 radii. In this example measurement errors were less than i minute of arc. Results indicate that four corrections applied in the vicinity of 50, 16, 15, and 1.5 radii, respectively, yield minimum velocity-increment requirements. Thrust devices capable of producing a large variation of velocity-increment size are required. For a vehicle approaching the earth, miss distances within 32 miles are obtained with 90-percent probability. Total velocity increments used in guidance are less than 3300 feet per second with 90-percent probability. It is noted that the above representative results are valid only for the particular guidance scheme hypothesized in this analysis. A parametric study is presented which indicates the effects of measurement error size, initial perigee, and initial energy on the guidance

  8. Cost Utility Analysis Applied to Library Budgeting.

    ERIC Educational Resources Information Center

    Stitleman, Leonard

    Cost Utility Analysis (CUA) is, basically, an administrative tool to be used in situations where making a choice among meaningful programs is necessary. It does not replace the administrator, but can provide a significant source of data for the decision maker. CUA can be a guide to the selection of an optimal program in terms of available funds,…

  9. Applied Spectrophotometry: Analysis of a Biochemical Mixture

    ERIC Educational Resources Information Center

    Trumbo, Toni A.; Schultz, Emeric; Borland, Michael G.; Pugh, Michael Eugene

    2013-01-01

    Spectrophotometric analysis is essential for determining biomolecule concentration of a solution and is employed ubiquitously in biochemistry and molecular biology. The application of the Beer-Lambert-Bouguer Lawis routinely used to determine the concentration of DNA, RNA or protein. There is however a significant difference in determining the…

  10. Science, Skepticism, and Applied Behavior Analysis

    PubMed Central

    Normand, Matthew P

    2008-01-01

    Pseudoscientific claims concerning medical and psychological treatments of all varieties are commonplace. As behavior analysts, a sound skeptical approach to our science and practice is essential. The present paper offers an overview of science and skepticism and discusses the relationship of skepticism to behavior analysis, with an emphasis on the types of issues concerning behavior analysts in practice. PMID:22477687

  11. Thermal analysis applied to irradiated propolis

    NASA Astrophysics Data System (ADS)

    Matsuda, Andrea Harumi; Machado, Luci Brocardo; del Mastro, Nélida Lucia

    2002-03-01

    Propolis is a resinous hive product, collected by bees. Raw propolis requires a decontamination procedure and irradiation appears as a promising technique for this purpose. The valuable properties of propolis for food and pharmaceutical industries have led to increasing interest in its technological behavior. Thermal analysis is a chemical analysis that gives information about changes on heating of great importance for technological applications. Ground propolis samples were 60Co gamma irradiated with 0 and 10 kGy. Thermogravimetry curves shown a similar multi-stage decomposition pattern for both irradiated and unirradiated samples up to 600°C. Similarly, through differential scanning calorimetry , a coincidence of melting point of irradiated and unirradiated samples was found. The results suggest that the irradiation process do not interfere on the thermal properties of propolis when irradiated up to 10 kGy.

  12. Growth mixture modeling as an exploratory analysis tool in longitudinal quantitative trait loci analysis.

    PubMed

    Chang, Su-Wei; Choi, Seung Hoan; Li, Ke; Fleur, Rose Saint; Huang, Chengrui; Shen, Tong; Ahn, Kwangmi; Gordon, Derek; Kim, Wonkuk; Wu, Rongling; Mendell, Nancy R; Finch, Stephen J

    2009-12-15

    We examined the properties of growth mixture modeling in finding longitudinal quantitative trait loci in a genome-wide association study. Two software packages are commonly used in these analyses: Mplus and the SAS TRAJ procedure. We analyzed the 200 replicates of the simulated data with these programs using three tests: the likelihood-ratio test statistic, a direct test of genetic model coefficients, and the chi-square test classifying subjects based on the trajectory model's posterior Bayesian probability. The Mplus program was not effective in this application due to its computational demands. The distributions of these tests applied to genes not related to the trait were sensitive to departures from Hardy-Weinberg equilibrium. The likelihood-ratio test statistic was not usable in this application because its distribution was far from the expected asymptotic distributions when applied to markers with no genetic relation to the quantitative trait. The other two tests were satisfactory. Power was still substantial when we used markers near the gene rather than the gene itself. That is, growth mixture modeling may be useful in genome-wide association studies. For markers near the actual gene, there was somewhat greater power for the direct test of the coefficients and lesser power for the posterior Bayesian probability chi-square test.

  13. Reliability analysis applied to structural tests

    NASA Technical Reports Server (NTRS)

    Diamond, P.; Payne, A. O.

    1972-01-01

    The application of reliability theory to predict, from structural fatigue test data, the risk of failure of a structure under service conditions because its load-carrying capability is progressively reduced by the extension of a fatigue crack, is considered. The procedure is applicable to both safe-life and fail-safe structures and, for a prescribed safety level, it will enable an inspection procedure to be planned or, if inspection is not feasible, it will evaluate the life to replacement. The theory has been further developed to cope with the case of structures with initial cracks, such as can occur in modern high-strength materials which are susceptible to the formation of small flaws during the production process. The method has been applied to a structure of high-strength steel and the results are compared with those obtained by the current life estimation procedures. This has shown that the conventional methods can be unconservative in certain cases, depending on the characteristics of the structure and the design operating conditions. The suitability of the probabilistic approach to the interpretation of the results from full-scale fatigue testing of aircraft structures is discussed and the assumptions involved are examined.

  14. Artificial intelligence applied to process signal analysis

    NASA Technical Reports Server (NTRS)

    Corsberg, Dan

    1988-01-01

    Many space station processes are highly complex systems subject to sudden, major transients. In any complex process control system, a critical aspect of the human/machine interface is the analysis and display of process information. Human operators can be overwhelmed by large clusters of alarms that inhibit their ability to diagnose and respond to a disturbance. Using artificial intelligence techniques and a knowledge base approach to this problem, the power of the computer can be used to filter and analyze plant sensor data. This will provide operators with a better description of the process state. Once a process state is recognized, automatic action could be initiated and proper system response monitored.

  15. Scanning methods applied to bitemark analysis

    NASA Astrophysics Data System (ADS)

    Bush, Peter J.; Bush, Mary A.

    2010-06-01

    The 2009 National Academy of Sciences report on forensics focused criticism on pattern evidence subdisciplines in which statements of unique identity are utilized. One principle of bitemark analysis is that the human dentition is unique to the extent that a perpetrator may be identified based on dental traits in a bitemark. Optical and electron scanning methods were used to measure dental minutia and to investigate replication of detail in human skin. Results indicated that being a visco-elastic substrate, skin effectively reduces the resolution of measurement of dental detail. Conclusions indicate caution in individualization statements.

  16. The adolescent body image satisfaction scale for males: exploratory factor analysis and implications for strength and conditioning professionals.

    PubMed

    Leone, James E; Mullin, Elizabeth M; Maurer-Starks, Suanne S; Rovito, Michael J

    2014-09-01

    The purpose of this study was to determine whether there is evidence of reliability and validity for the Adolescent Body Image Satisfaction Scale (ABISS), an instrument previously developed to measure adolescent body image. A sample (N = 330) of adolescent males, aged 14-19 years, completed the ABISS to determine current body image satisfaction. Data were analyzed for measures of instrument composite reliability and initial content and construct validity. Exploratory factor analysis supported a 3-factor solution (16 total items), which explained 42.7% of variance in the model. Composite reliability for the subscales, body competence, body inadequacy, and internal conflict ranged from 0.64 to 0.82. Exploratory factor analysis of the ABISS provides initial psychometric support for a valid and reliable measure for assessing adolescent male body image, which also can be used as a needs assessment tool. Strength and conditioning professionals should be aware of their athlete and client psychological attributes, many of whom are adolescents. Understanding how adolescents view their bodies and their body image will assist professionals in designing appropriate, health-promotive strength programs, while at the same time monitoring for signs of body image dissatisfaction. Assessing body image can help heighten awareness and possibly encourage preventative programming to help avert negative health practices (e.g., performance-enhancing drug use, exercise addictions, disordered eating). The ABISS seems to have preliminary psychometric support to be a valid and reliable instrument that helps gauge at-risk populations.

  17. Multivariate analysis applied to tomato hybrid production.

    PubMed

    Balasch, S; Nuez, F; Palomares, G; Cuartero, J

    1984-11-01

    Twenty characters were measured on 60 tomato varieties cultivated in the open-air and in polyethylene plastic-house. Data were analyzed by means of principal components, factorial discriminant methods, Mahalanobis D(2) distances and principal coordinate techniques. Factorial discriminant and Mahalanobis D(2) distances methods, both of which require collecting data plant by plant, lead to similar conclusions as the principal components method that only requires taking data by plots. Characters that make up the principal components in both environments studied are the same, although the relative importance of each one of them varies within the principal components. By combining information supplied by multivariate analysis with the inheritance mode of characters, crossings among cultivars can be experimented with that will produce heterotic hybrids showing characters within previously established limits.

  18. Toward applied behavior analysis of life aloft

    NASA Technical Reports Server (NTRS)

    Brady, J. V.

    1990-01-01

    This article deals with systems at multiple levels, at least from cell to organization. It also deals with learning, decision making, and other behavior at multiple levels. Technological development of a human behavioral ecosystem appropriate to space environments requires an analytic and synthetic orientation, explicitly experimental in nature, dictated by scientific and pragmatic considerations, and closely approximating procedures of established effectiveness in other areas of natural science. The conceptual basis of such an approach has its roots in environmentalism which has two main features: (1) knowledge comes from experience rather than from innate ideas, divine revelation, or other obscure sources; and (2) action is governed by consequences rather than by instinct, reason, will, beliefs, attitudes or even the currently fashionable cognitions. Without an experimentally derived data base founded upon such a functional analysis of human behavior, the overgenerality of "ecological systems" approaches render them incapable of ensuring the successful establishment of enduring space habitats. Without an experimentally derived function account of individual behavioral variability, a natural science of behavior cannot exist. And without a natural science of behavior, the social sciences will necessarily remain in their current status as disciplines of less than optimal precision or utility. Such a functional analysis of human performance should provide an operational account of behavior change in a manner similar to the way in which Darwin's approach to natural selection accounted for the evolution of phylogenetic lines (i.e., in descriptive, nonteleological terms). Similarly, as Darwin's account has subsequently been shown to be consonant with information obtained at the cellular level, so too should behavior principles ultimately prove to be in accord with an account of ontogenetic adaptation at a biochemical level. It would thus seem obvious that the most

  19. Toward applied behavior analysis of life aloft.

    PubMed

    Brady, J V

    1990-01-01

    This article deals with systems at multiple levels, at least from cell to organization. It also deals with learning, decision making, and other behavior at multiple levels. Technological development of a human behavioral ecosystem appropriate to space environments requires an analytic and synthetic orientation, explicitly experimental in nature, dictated by scientific and pragmatic considerations, and closely approximating procedures of established effectiveness in other areas of natural science. The conceptual basis of such an approach has its roots in environmentalism which has two main features: (1) knowledge comes from experience rather than from innate ideas, divine revelation, or other obscure sources; and (2) action is governed by consequences rather than by instinct, reason, will, beliefs, attitudes or even the currently fashionable cognitions. Without an experimentally derived data base founded upon such a functional analysis of human behavior, the overgenerality of "ecological systems" approaches render them incapable of ensuring the successful establishment of enduring space habitats. Without an experimentally derived function account of individual behavioral variability, a natural science of behavior cannot exist. And without a natural science of behavior, the social sciences will necessarily remain in their current status as disciplines of less than optimal precision or utility. Such a functional analysis of human performance should provide an operational account of behavior change in a manner similar to the way in which Darwin's approach to natural selection accounted for the evolution of phylogenetic lines (i.e., in descriptive, nonteleological terms). Similarly, as Darwin's account has subsequently been shown to be consonant with information obtained at the cellular level, so too should behavior principles ultimately prove to be in accord with an account of ontogenetic adaptation at a biochemical level. It would thus seem obvious that the most

  20. Toward applied behavior analysis of life aloft.

    PubMed

    Brady, J V

    1990-01-01

    This article deals with systems at multiple levels, at least from cell to organization. It also deals with learning, decision making, and other behavior at multiple levels. Technological development of a human behavioral ecosystem appropriate to space environments requires an analytic and synthetic orientation, explicitly experimental in nature, dictated by scientific and pragmatic considerations, and closely approximating procedures of established effectiveness in other areas of natural science. The conceptual basis of such an approach has its roots in environmentalism which has two main features: (1) knowledge comes from experience rather than from innate ideas, divine revelation, or other obscure sources; and (2) action is governed by consequences rather than by instinct, reason, will, beliefs, attitudes or even the currently fashionable cognitions. Without an experimentally derived data base founded upon such a functional analysis of human behavior, the overgenerality of "ecological systems" approaches render them incapable of ensuring the successful establishment of enduring space habitats. Without an experimentally derived function account of individual behavioral variability, a natural science of behavior cannot exist. And without a natural science of behavior, the social sciences will necessarily remain in their current status as disciplines of less than optimal precision or utility. Such a functional analysis of human performance should provide an operational account of behavior change in a manner similar to the way in which Darwin's approach to natural selection accounted for the evolution of phylogenetic lines (i.e., in descriptive, nonteleological terms). Similarly, as Darwin's account has subsequently been shown to be consonant with information obtained at the cellular level, so too should behavior principles ultimately prove to be in accord with an account of ontogenetic adaptation at a biochemical level. It would thus seem obvious that the most

  1. Applying Genomic Analysis to Newborn Screening

    PubMed Central

    Solomon, B.D.; Pineda-Alvarez, D.E.; Bear, K.A.; Mullikin, J.C.; Evans, J.P.

    2012-01-01

    Large-scale genomic analysis such as whole-exome and whole-genome sequencing is becoming increasingly prevalent in the research arena. Clinically, many potential uses of this technology have been proposed. One such application is the extension or augmentation of newborn screening. In order to explore this application, we examined data from 3 children with normal newborn screens who underwent whole-exome sequencing as part of research participation. We analyzed sequence information for 151 selected genes associated with conditions ascertained by newborn screening. We compared findings with publicly available databases and results from over 500 individuals who underwent whole-exome sequencing at the same facility. Novel variants were confirmed through bidirectional dideoxynucleotide sequencing. High-density microarrays (Illumina Omni1-Quad) were also performed to detect potential copy number variations affecting these genes. We detected an average of 87 genetic variants per individual. After excluding artifacts, 96% of the variants were found to be reported in public databases and have no evidence of pathogenicity. No variants were identified that would predict disease in the tested individuals, which is in accordance with their normal newborn screens. However, we identified 6 previously reported variants and 2 novel variants that, according to published literature, could result in affected offspring if the reproductive partner were also a mutation carrier; other specific molecular findings highlight additional means by which genomic testing could augment newborn screening. PMID:23112750

  2. Digital photoelastic analysis applied to implant dentistry

    NASA Astrophysics Data System (ADS)

    Ramesh, K.; Hariprasad, M. P.; Bhuvanewari, S.

    2016-12-01

    Development of improved designs of implant systems in dentistry have necessitated the study of stress fields in the implant regions of the mandible/maxilla for better understanding of the biomechanics involved. Photoelasticity has been used for various studies related to dental implants in view of whole field visualization of maximum shear stress in the form of isochromatic contours. The potential of digital photoelasticity has not been fully exploited in the field of implant dentistry. In this paper, the fringe field in the vicinity of the connected implants (All-On-Four® concept) is analyzed using recent advances in digital photoelasticity. Initially, a novel 3-D photoelastic model making procedure, to closely mimic all the anatomical features of the human mandible is proposed. By choosing appropriate orientation of the model with respect to the light path, the essential region of interest were sought to be analysed while keeping the model under live loading conditions. Need for a sophisticated software module to carefully identify the model domain has been brought out. For data extraction, five-step method is used and isochromatics are evaluated by twelve fringe photoelasticity. In addition to the isochromatic fringe field, whole field isoclinic data is also obtained for the first time in implant dentistry, which could throw important information in improving the structural stability of the implant systems. Analysis is carried out for the implant in the molar as well as the incisor region. In addition, the interaction effects of loaded molar implant on the incisor area are also studied.

  3. Goals Analysis Procedure Guidelines for Applying the Goals Analysis Process

    NASA Technical Reports Server (NTRS)

    Motley, Albert E., III

    2000-01-01

    One of the key elements to successful project management is the establishment of the "right set of requirements", requirements that reflect the true customer needs and are consistent with the strategic goals and objectives of the participating organizations. A viable set of requirements implies that each individual requirement is a necessary element in satisfying the stated goals and that the entire set of requirements, taken as a whole, is sufficient to satisfy the stated goals. Unfortunately, it is the author's experience that during project formulation phases' many of the Systems Engineering customers do not conduct a rigorous analysis of the goals and objectives that drive the system requirements. As a result, the Systems Engineer is often provided with requirements that are vague, incomplete, and internally inconsistent. To complicate matters, most systems development methodologies assume that the customer provides unambiguous, comprehensive and concise requirements. This paper describes the specific steps of a Goals Analysis process applied by Systems Engineers at the NASA Langley Research Center during the formulation of requirements for research projects. The objective of Goals Analysis is to identify and explore all of the influencing factors that ultimately drive the system's requirements.

  4. An exploratory analysis of the factor structure of the Dysfunctional Attitude Scale-Form A (DAS).

    PubMed

    Moore, Michael T; Fresco, David M; Segal, Zindel V; Brown, Timothy A

    2014-10-01

    A number of studies have attempted to identify the factor structure of the Dysfunctional Attitude Scale (DAS). However, no studies have done so using a clinical sample of outpatients likely to generalize to the clinical trials in which the DAS is commonly used. The current investigation utilized exploratory structural equation modeling in an outpatient sample (N = 982) and found support for a one-factor solution (composed of 19 items). This solution was largely confirmed in a second outpatient sample (N = 301). Construct validity was demonstrated in correlations with measures of depression, social interaction anxiety, and symptoms of obsessive-compulsive disorder.

  5. An exploratory analysis of the factor structure of the Dysfunctional Attitude Scale-Form A (DAS).

    PubMed

    Moore, Michael T; Fresco, David M; Segal, Zindel V; Brown, Timothy A

    2014-10-01

    A number of studies have attempted to identify the factor structure of the Dysfunctional Attitude Scale (DAS). However, no studies have done so using a clinical sample of outpatients likely to generalize to the clinical trials in which the DAS is commonly used. The current investigation utilized exploratory structural equation modeling in an outpatient sample (N = 982) and found support for a one-factor solution (composed of 19 items). This solution was largely confirmed in a second outpatient sample (N = 301). Construct validity was demonstrated in correlations with measures of depression, social interaction anxiety, and symptoms of obsessive-compulsive disorder. PMID:24577308

  6. Data Science Programs in U.S. Higher Education: An Exploratory Content Analysis of Program Description, Curriculum Structure, and Course Focus

    ERIC Educational Resources Information Center

    Tang, Rong; Sae-Lim, Watinee

    2016-01-01

    In this study, an exploratory content analysis of 30 randomly selected Data Science (DS) programs from eight disciplines revealed significant gaps in current DS education in the United States. The analysis centers on linguistic patterns of program descriptions, curriculum requirements, and DS course focus as pertaining to key skills and domain…

  7. Analysis of exploratory wells in the Cerro Prieto Field and the Mexicali Valley

    SciTech Connect

    Cobo R., J.M.; Bermejo M., F.J.

    1982-08-10

    Agricultural development in the Mexicali Valley and in the high cost of electric power required to operate the irrigation wells in the Valley prompted the Mexican government to investigate the possibility of taking advantage of thermal manifestations in the area located 28 km southeast of the city of Mexicali to generate electric power and thereby partially decrease the flight of foreign exchange. In 1958, a geologic study of the southern and southeastern zone of Mexicali was conducted to identify the possibilities of tapping geothermal resources. The purpose of this study was to gain knowledge of the geologic conditions in this area and, if possible, to establish the location of exploratory and production wells and, on the basis of the results of the former, examine the geologic history in order to gain knowledge and understanding of the structural control of the steam. On the basis of this study, it was recommended that 3 exploratory wells should be drilled in order to locate weak zones that would easily allow for steam flow.

  8. An Exploratory Analysis of Task-Interspersal Procedures While Teaching Object Labels to Children with Autism

    PubMed Central

    Volkert, Valerie M; Lerman, Dorothea C; Trosclair, Nicole; Addison, Laura; Kodak, Tiffany

    2008-01-01

    Research has demonstrated that interspersing mastered tasks with new tasks facilitates learning under certain conditions; however, little is known about factors that influence the effectiveness of this treatment strategy. The initial purpose of the current investigation was to evaluate the effects of similar versus dissimilar interspersed tasks while teaching object labels to children diagnosed with autism or developmental delays. We then conducted a series of exploratory analyses involving the type of reinforcer delivered for correct responses on trials with unknown or known object labels. Performance was enhanced under the interspersal condition only when either brief praise was delivered for all correct responses or presumably more preferred reinforcers were provided for performance on known trials rather than on unknown trials. PMID:18816973

  9. Pressure to change drinking behavior: An exploratory analysis of US general population subgroups

    PubMed Central

    Polcin, Douglas L.; Greenfield, Thomas K.; Kerr, William C.; Bond, Jason

    2014-01-01

    Background General population studies have shown that pressure from others to change drinking can come from different sources. Receipt of informal pressure (IP) and formal pressure (FP) is known to vary by quantity and consequences of drinking, but less is known about how pressure varies among subgroups of the population. Method This exploratory study utilizes data from the National Alcohol Surveys from 1995–2010 (N=26,311) and examines associations between receipt of pressure and subgroups of drinkers. Results Increased relative risk of receiving IP and FP were observed for individuals reporting an arrest for driving after drinking and illicit drug use while poverty and lack of private health insurance increased risk of receipt of formal pressures. Regular marijuana use increased IP. Conclusion The subgroups that were studied received increased pressures to change drinking behavior, though disentangling the societal role of pressure and how it may assist with interventions, help seeking, and natural recovery is needed. PMID:25346550

  10. Psychosocial Problems Among Truant Youth: A Multi-Group, Exploratory Structural Equation Modeling Analysis

    PubMed Central

    Dembo, Richard; Briones-Robinson, Rhissa; Barrett, Kimberly; Winters, Ken C.; Ungaro, Rocio; Karas, Lora; Wareham, Jennifer; Belenko, Steven

    2012-01-01

    Truant youth represent a critical group needing problem-oriented research and involvement in effective services. The limited number of studies on the psychosocial functioning of truant youths have focused on one or a few problem areas, rather than examining co-morbid problem behaviors. The present study addresses the need to examine the interrelationships of multiple domains of psychosocial functioning, including substance involvement, mental health, and delinquency, among truant youth. Exploratory structural equation modeling on baseline data collected on 219 truant youths identified two major factors reflecting psychosocial functioning, and found the factor structure was similar across major sociodemographic subgroups. Further analyses supported the validity of the factor structure. The research and service delivery implications of the findings are discussed. PMID:23243383

  11. Eating patterns in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): an exploratory analysis.

    PubMed

    Cardoso, Letícia de Oliveira; Carvalho, Marilia Sá; Cruz, Oswaldo Gonçalves; Melere, Cristiane; Luft, Vivian Cristine; Molina, Maria Del Carmen Bisi; Faria, Carolina Perim de; Benseñor, Isabela M; Matos, Sheila Maria Alvim; Fonseca, Maria de Jesus Mendes da; Griep, Rosane Harter; Chor, Dóra

    2016-01-01

    The food consumption of 15,071 public employees was analyzed in six Brazilian cities participating in the baseline for Brazilian Longitudinal Study of Adult Health (ELSA-Brasil, 2008-2010) with the aim of identifying eating patterns and their relationship to socio-demographic variables. Multiple correspondence and cluster analysis were applied. Four patterns were identified, with their respective frequencies: "traditional" (48%); "fruits and vegetables" (25%); "pastry shop" (24%); and "diet/light" (5%) The "traditional" and "pastry shop" patterns were more frequent among men, younger individuals, and those with less schooling. "Fruits and vegetables" and "diet/light" were more frequent in women, older individuals, and those with more schooling. Our findings show the inclusion of new items in the "traditional" pattern and the appearance of the "low sugar/low fat" pattern among the eating habits of Brazilian workers, and signal socio-demographic and regional differences.

  12. Eating patterns in the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil): an exploratory analysis.

    PubMed

    Cardoso, Letícia de Oliveira; Carvalho, Marilia Sá; Cruz, Oswaldo Gonçalves; Melere, Cristiane; Luft, Vivian Cristine; Molina, Maria Del Carmen Bisi; Faria, Carolina Perim de; Benseñor, Isabela M; Matos, Sheila Maria Alvim; Fonseca, Maria de Jesus Mendes da; Griep, Rosane Harter; Chor, Dóra

    2016-01-01

    The food consumption of 15,071 public employees was analyzed in six Brazilian cities participating in the baseline for Brazilian Longitudinal Study of Adult Health (ELSA-Brasil, 2008-2010) with the aim of identifying eating patterns and their relationship to socio-demographic variables. Multiple correspondence and cluster analysis were applied. Four patterns were identified, with their respective frequencies: "traditional" (48%); "fruits and vegetables" (25%); "pastry shop" (24%); and "diet/light" (5%) The "traditional" and "pastry shop" patterns were more frequent among men, younger individuals, and those with less schooling. "Fruits and vegetables" and "diet/light" were more frequent in women, older individuals, and those with more schooling. Our findings show the inclusion of new items in the "traditional" pattern and the appearance of the "low sugar/low fat" pattern among the eating habits of Brazilian workers, and signal socio-demographic and regional differences. PMID:27192025

  13. A Primer on Bootstrap Factor Analysis as Applied to Health Studies Research

    ERIC Educational Resources Information Center

    Lu, Wenhua; Miao, Jingang; McKyer, E. Lisako J.

    2014-01-01

    Objectives: To demonstrate how the bootstrap method could be conducted in exploratory factor analysis (EFA) with a syntax written in SPSS. Methods: The data obtained from the Texas Childhood Obesity Prevention Policy Evaluation project (T-COPPE project) were used for illustration. A 5-step procedure to conduct bootstrap factor analysis (BFA) was…

  14. Characterizing Objective Quality of Life and Normative Outcomes in Adults with Autism Spectrum Disorder: An Exploratory Latent Class Analysis.

    PubMed

    Bishop-Fitzpatrick, Lauren; Hong, Jinkuk; Smith, Leann E; Makuch, Renee A; Greenberg, Jan S; Mailick, Marsha R

    2016-08-01

    This study aims to extend the definition of quality of life (QoL) for adults with autism spectrum disorder (ASD, n = 180, ages 23-60) by: (1) characterizing the heterogeneity of normative outcomes (employment, independent living, social engagement) and objective QoL (physical health, neighborhood quality, family contact, mental health issues); and (2) identifying predictors of positive normative outcomes and good objective QoL. Findings of an exploratory latent class analysis identified three groups of adults with ASD-Greater Dependence, Good Physical and Mental Health, and Greater Independence. Findings indicate that better daily living skills, better executive function, and more maternal warmth are associated with assignment to better outcome groups. Findings have implications for interventions designed to enhance achievement of normative outcomes and objective QoL. PMID:27207091

  15. Brooding and Pondering: Isolating the active ingredients of depressive rumination with exploratory factor analysis and structural equation modeling

    PubMed Central

    Armey, Michael F.; Fresco, David M.; Moore, Michael T.; Mennin, Douglas S.; Turk, Cynthia L.; Heimberg, Richard G.; Spasojevic, Jelena; Alloy, Lauren B.

    2010-01-01

    Depressive rumination, as assessed by Nolen-Hoeksema’s Response Styles Questionnaire (RSQ; Nolen-Hoeksema & Morrow, 1991), predicts the onset, chronicity, and duration of depressed mood. However, some RSQ items contain depressive content and result in a heterogeneous factor structure. After the a priori elimination of items potentially confounded with depressed item content, Treynor et al. (2003) identified two factors within the remaining RSQ rumination subscale that were differentially related to depression: brooding and pondering. However, Treynor et al. (2003) used a non-standard form and administration of the RSQ. The present study sought to address these methodological idiosyncrasies and replicate the factor structure of Treynor et al. (2003) through exploratory factor analysis and structural equation modeling. Findings support the brooding and pondering solution and demonstrate that brooding relates more strongly to depression and anxiety than does pondering. PMID:19667138

  16. Characterizing Objective Quality of Life and Normative Outcomes in Adults with Autism Spectrum Disorder: An Exploratory Latent Class Analysis.

    PubMed

    Bishop-Fitzpatrick, Lauren; Hong, Jinkuk; Smith, Leann E; Makuch, Renee A; Greenberg, Jan S; Mailick, Marsha R

    2016-08-01

    This study aims to extend the definition of quality of life (QoL) for adults with autism spectrum disorder (ASD, n = 180, ages 23-60) by: (1) characterizing the heterogeneity of normative outcomes (employment, independent living, social engagement) and objective QoL (physical health, neighborhood quality, family contact, mental health issues); and (2) identifying predictors of positive normative outcomes and good objective QoL. Findings of an exploratory latent class analysis identified three groups of adults with ASD-Greater Dependence, Good Physical and Mental Health, and Greater Independence. Findings indicate that better daily living skills, better executive function, and more maternal warmth are associated with assignment to better outcome groups. Findings have implications for interventions designed to enhance achievement of normative outcomes and objective QoL.

  17. An Exploratory Qualitative Analysis of Graduate Student Learning and Division of Labor Resulting from Student Cofacilitation of an Asynchronous Online Discussion

    ERIC Educational Resources Information Center

    Milman, Natalie B.; Hillarious, Marilyn; Walker, Bryce

    2012-01-01

    This qualitative study is an exploratory, retrospective content analysis (Schwandt, 2007) of 81 debrief statements collected over 3 years and written by graduate students in an educational technology graduate program's educational leadership course taught 100% online. Researchers analyzed students' debrief statements of lessons learned and task…

  18. An exploratory analysis of the relationship between ambient ozone and particulate matter concentrations during early pregnancy and selected birth defects in Texas

    EPA Science Inventory

    Background: Associations between ozone (O3) and fine particulate matter (PM2.5) concentrations and birth outcomes have been previously demonstrated. We perform an exploratory analysis of O3 and PM2.5 concentrations during early pregnancy and multiple types of birth defects. Met...

  19. Impact of Outliers Arising from Unintended and Unknowingly Included Subpopulations on the Decisions about the Number of Factors in Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Liu, Yan; Zumbo, Bruno D.

    2012-01-01

    There is a lack of research on the effects of outliers on the decisions about the number of factors to retain in an exploratory factor analysis, especially for outliers arising from unintended and unknowingly included subpopulations. The purpose of the present research was to investigate how outliers from an unintended and unknowingly included…

  20. Negative reinforcement in applied behavior analysis: an emerging technology.

    PubMed

    Iwata, B A

    1987-01-01

    Although the effects of negative reinforcement on human behavior have been studied for a number of years, a comprehensive body of applied research does not exist at this time. This article describes three aspects of negative reinforcement as it relates to applied behavior analysis: behavior acquired or maintained through negative reinforcement, the treatment of negatively reinforced behavior, and negative reinforcement as therapy. A consideration of research currently being done in these areas suggests the emergence of an applied technology on negative reinforcement.

  1. Negative Reinforcement in Applied Behavior Analysis: An Emerging Technology.

    ERIC Educational Resources Information Center

    Iwata, Brian A.

    1987-01-01

    The article describes three aspects of negative reinforcement as it relates to applied behavior analysis: behavior acquired or maintained through negative reinforcement, the treatment of negatively reinforced behavior, and negative reinforcement as therapy. Current research suggests the emergence of an applied technology on negative reinforcement.…

  2. Animal Research in the "Journal of Applied Behavior Analysis"

    ERIC Educational Resources Information Center

    Edwards, Timothy L.; Poling, Alan

    2011-01-01

    This review summarizes the 6 studies with nonhuman animal subjects that have appeared in the "Journal of Applied Behavior Analysis" and offers suggestions for future research in this area. Two of the reviewed articles described translational research in which pigeons were used to illustrate and examine behavioral phenomena of applied significance…

  3. B. F. Skinner's contributions to applied behavior analysis

    PubMed Central

    Morris, Edward K.; Smith, Nathaniel G.; Altus, Deborah E.

    2005-01-01

    Our paper reviews and analyzes B. F. Skinner's contributions to applied behavior analysis in order to assess his role as the field's originator and founder. We found, first, that his contributions fall into five categorizes: the style and content of his science, his interpretations of typical and atypical human behavior, the implications he drew from his science for application, his descriptions of possible applications, and his own applications to nonhuman and human behavior. Second, we found that he explicitly or implicitly addressed all seven dimensions of applied behavior analysis. These contributions and the dimensions notwithstanding, he neither incorporated the field's scientific (e.g., analytic) and social dimensions (e.g., applied) into any program of published research such that he was its originator, nor did he systematically integrate, advance, and promote the dimensions so to have been its founder. As the founder of behavior analysis, however, he was the father of applied behavior analysis. PMID:22478444

  4. DataHub - Science data management in support of interactive exploratory analysis

    NASA Technical Reports Server (NTRS)

    Handley, Thomas H., Jr.; Rubin, Mark R.

    1993-01-01

    DataHub addresses four areas of significant need: scientific visualization and analysis; science data management; interactions in a distributed, heterogeneous environment; and knowledge-based assistance for these functions. The fundamental innovation embedded within the DataHub is the integration of three technologies, viz. knowledge-based expert systems, science visualization, and science data management. This integration is based on a concept called the DataHub. With the DataHub concept, science investigators are able to apply a more complete solution to all nodes of a distributed system. Both computational nodes and interactive nodes are able to effectively and efficiently use the data services (access, retrieval, update, etc.) in a distributed, interdisciplinary information system in a uniform and standard way. This allows the science investigators to concentrate on their scientific endeavors, rather than to involve themselves in the intricate technical details of the systems and tools required to accomplish their work. Thus, science investigators need not be programmers. The emphasis is on the definition and prototyping of system elements with sufficient detail to enable data analysis and interpretation leading to information. The DataHub includes all the required end-to-end components and interfaces to demonstrate the complete concept.

  5. DataHub: Science data management in support of interactive exploratory analysis

    NASA Technical Reports Server (NTRS)

    Handley, Thomas H., Jr.; Rubin, Mark R.

    1993-01-01

    The DataHub addresses four areas of significant needs: scientific visualization and analysis; science data management; interactions in a distributed, heterogeneous environment; and knowledge-based assistance for these functions. The fundamental innovation embedded within the DataHub is the integration of three technologies, viz. knowledge-based expert systems, science visualization, and science data management. This integration is based on a concept called the DataHub. With the DataHub concept, science investigators are able to apply a more complete solution to all nodes of a distributed system. Both computational nodes and interactives nodes are able to effectively and efficiently use the data services (access, retrieval, update, etc), in a distributed, interdisciplinary information system in a uniform and standard way. This allows the science investigators to concentrate on their scientific endeavors, rather than to involve themselves in the intricate technical details of the systems and tools required to accomplish their work. Thus, science investigators need not be programmers. The emphasis on the definition and prototyping of system elements with sufficient detail to enable data analysis and interpretation leading to information. The DataHub includes all the required end-to-end components and interfaces to demonstrate the complete concept.

  6. Exploratory Cost-Effectiveness Analysis of Response-Guided Neoadjuvant Chemotherapy for Hormone Positive Breast Cancer Patients

    PubMed Central

    Miquel-Cases, Anna; Retèl, Valesca P.; Lederer, Bianca; von Minckwitz, Gunter; Steuten, Lotte M. G.; van Harten, Wim H.

    2016-01-01

    Purpose Guiding response to neoadjuvant chemotherapy (guided-NACT) allows for an adaptative treatment approach likely to improve breast cancer survival. In this study, our primary aim is to explore the expected cost-effectiveness of guided-NACT using as a case study the first randomized controlled trial that demonstrated effectiveness (GeparTrio trial). Materials and Methods As effectiveness was shown in hormone-receptor positive (HR+) early breast cancers (EBC), our decision model compared the health-economic outcomes of treating a cohort of such women with guided-NACT to conventional-NACT using clinical input data from the GeparTrio trial. The expected cost-effectiveness and the uncertainty around this estimate were estimated via probabilistic cost-effectiveness analysis (CEA), from a Dutch societal perspective over a 5-year time-horizon. Results Our exploratory CEA predicted that guided-NACT as proposed by the GeparTrio, costs additional €110, but results in 0.014 QALYs gained per patient. This scenario of guided-NACT was considered cost-effective at any willingness to pay per additional QALY. At the prevailing Dutch willingness to pay threshold (€80.000/QALY) cost-effectiveness was expected with 78% certainty. Conclusion This exploratory CEA indicated that guided-NACT (as proposed by the GeparTrio trial) is likely cost-effective in treating HR+ EBC women. While prospective validation of the GeparTrio findings is advisable from a clinical perspective, early CEAs can be used to prioritize further research from a broader health economic perspective, by identifying which parameters contribute most to current decision uncertainty. Furthermore, their use can be extended to explore the expected cost-effectiveness of alternative guided-NACT scenarios that combine the use of promising imaging techniques together with personalized treatments. PMID:27124410

  7. Adolescent Athletic Participation and Nonmedical Adderall Use: An Exploratory Analysis of a Performance-Enhancing Drug

    PubMed Central

    Veliz, Philip; Boyd, Carol; McCabe, Sean Esteban

    2013-01-01

    Objective: A primary motive for adolescents and young adults to nonmedically use prescription stimulants is to help them study. Adolescents and young adults are using prescription stimulants, such as Adderall (amphetamine aspartate, amphetamine sulfate, dextroamphetamine saccharate, dextroamphetamine sulfate), as performance enhancers in certain social domains, including academics and sports. The purpose of this exploratory study was to examine the nonmedical use of Adderall (a commonly prescribed stimulant used nonmedically) among adolescents who participate in competitive sports. Method: The Monitoring the Future survey for 2010 and 2011, a representative sample of 8th- and 10th-grade students, surveyed involvement in competitive sports and nonmedical Adderall use among 21,137 adolescents. Pastyear nonmedical use of Adderall served as the main outcome measure. Logistic regression analyses were run to examine whether sports participation in general and involvement in different types of competitive sports participation were associated with past-year nonmedical use of Adderall among males and females. Results: The odds of past-year nonmedical use of Adderall among males were higher for male respondents who participated in lacrosse (adjusted odds ratio [AOR] = 2.52, 95% CI [1.20, 5.29]) and wrestling (AOR = 1.74, 95% CI [1.01, 2.98]). However, no particular sport among females was found to be associated with pastyear nonmedical use of Adderall. Conclusions: Certain extracurricular activities, such as high-contact sports, may influence male participants to misuse prescription stimulants as performance enhancers either on or off the playing field. PMID:23948530

  8. The Significance of Regional Analysis in Applied Geography.

    ERIC Educational Resources Information Center

    Sommers, Lawrence M.

    Regional analysis is central to applied geographic research, contributing to better planning and policy development for a variety of societal problems facing the United States. The development of energy policy serves as an illustration of the capabilities of this type of analysis. The United States has had little success in formulating a national…

  9. An Instrument to Measure Dental Students' Communication Skills With Patients in Six Specific Circumstances: An Exploratory Factor Analysis.

    PubMed

    Aalboe, Joanna A; Schumacher, Mitzi M

    2016-01-01

    The aim of this study was to explore the internal structure of an instrument assessing dental students' confidence in their ability to communicate with patients in six specific circumstances (anxious, in pain, etc.) using exploratory factor analysis. In a Communication in the Dental Health Care Setting course at a U.S. dental school, second-year dental students in two years (2013 and 2014) responded to the six items on a survey instrument. Of the total 123 students, 122 fully completed the instrument, for a response rate of 99%. Analysis of the results identified a unidimensional scale with regards to patient-specific communication self-efficacy and explained 74% of the total variance. The scale had good internal consistency reflected by high Cronbach's alpha (α=0.929, 95% CI [0.907, 0.947]). These findings suggest the instrument may be a useful tool in assessing the development of patient communication skills in second-year dental students following a course in communication. Further exploration utilizing confirmatory analysis, determining predictive validity, and assessing convergent and discriminant evidence is warranted.

  10. Monitoring county-level chlamydia incidence in Texas, 2004 – 2005: application of empirical Bayesian smoothing and Exploratory Spatial Data Analysis (ESDA) methods

    PubMed Central

    Owusu-Edusei, Kwame; Owens, Chantelle J

    2009-01-01

    Background Chlamydia continues to be the most prevalent disease in the United States. Effective spatial monitoring of chlamydia incidence is important for successful implementation of control and prevention programs. The objective of this study is to apply Bayesian smoothing and exploratory spatial data analysis (ESDA) methods to monitor Texas county-level chlamydia incidence rates by examining spatiotemporal patterns. We used county-level data on chlamydia incidence (for all ages, gender and races) from the National Electronic Telecommunications System for Surveillance (NETSS) for 2004 and 2005. Results Bayesian-smoothed chlamydia incidence rates were spatially dependent both in levels and in relative changes. Erath county had significantly (p < 0.05) higher smoothed rates (> 300 cases per 100,000 residents) than its contiguous neighbors (195 or less) in both years. Gaines county experienced the highest relative increase in smoothed rates (173% – 139 to 379). The relative change in smoothed chlamydia rates in Newton county was significantly (p < 0.05) higher than its contiguous neighbors. Conclusion Bayesian smoothing and ESDA methods can assist programs in using chlamydia surveillance data to identify outliers, as well as relevant changes in chlamydia incidence in specific geographic units. Secondly, it may also indirectly help in assessing existing differences and changes in chlamydia surveillance systems over time. PMID:19245686

  11. Quantitative Analysis of the Interdisciplinarity of Applied Mathematics

    PubMed Central

    Zhang, Pengyuan

    2015-01-01

    The increasing use of mathematical techniques in scientific research leads to the interdisciplinarity of applied mathematics. This viewpoint is validated quantitatively here by statistical and network analysis on the corpus PNAS 1999–2013. A network describing the interdisciplinary relationships between disciplines in a panoramic view is built based on the corpus. Specific network indicators show the hub role of applied mathematics in interdisciplinary research. The statistical analysis on the corpus content finds that algorithms, a primary topic of applied mathematics, positively correlates, increasingly co-occurs, and has an equilibrium relationship in the long-run with certain typical research paradigms and methodologies. The finding can be understood as an intrinsic cause of the interdisciplinarity of applied mathematics. PMID:26352604

  12. Exploratory data analysis as a tool for similarity assessment and clustering of chiral polysaccharide-based systems used to separate pharmaceuticals in supercritical fluid chromatography.

    PubMed

    De Klerck, Katrijn; Vander Heyden, Yvan; Mangelings, Debby

    2014-01-24

    In the search for appropriate chromatographic conditions to separate enantiomers, screening strategies are often applied because achieving chiral separations is tedious. These screenings aim to find relatively fast suitable separation conditions. However, the definition of these screenings mostly relies on years of expertise or on the labour- and time-intensive investigation of a broad range of chiral stationary- and mobile phases. A large amount of data is generated using either approach. In this study, the obtained data are investigated in a systematic manner and (dis)similar systems are searched for. For this case study, 48 chromatographic systems were characterized by the enantioresolutions of 29 racemates. Exploratory data analysis was performed by means of projection pursuit, revealing the different enantioselective patterns of the chromatographic systems. To quantify the (dis)similarity, correlation coefficients and Euclidean distances were calculated. These results were visualized in colour maps to allow investigating the degree of (dis)similarity between the systems. These maps proved to be a helpful tool in the selection of dissimilar/orthogonal chromatographic conditions. Hierarchical-cluster-analysis dendrograms were constructed next to evaluate the clustering of similar systems, i.e. with an equivalent enantioselectivity. Screening sequences were extracted and compared with the initial, defined by direct data interpretation. In a final section, selection of dissimilar systems was done by means of the Kennard and Stone algorithm. The systems selected by the applied techniques did not necessarily perform better than the selection by direct data interpretation. Nevertheless, high cumulative success rates are achieved for the selected combinations, due to the broad enantioselectivity, the high individual success rates and the complementarity of the chiral selectors. PMID:24394150

  13. Negative reinforcement in applied behavior analysis: an emerging technology.

    PubMed Central

    Iwata, B A

    1987-01-01

    Although the effects of negative reinforcement on human behavior have been studied for a number of years, a comprehensive body of applied research does not exist at this time. This article describes three aspects of negative reinforcement as it relates to applied behavior analysis: behavior acquired or maintained through negative reinforcement, the treatment of negatively reinforced behavior, and negative reinforcement as therapy. A consideration of research currently being done in these areas suggests the emergence of an applied technology on negative reinforcement. PMID:3323157

  14. On exploratory factor analysis: a review of recent evidence, an assessment of current practice, and recommendations for future use.

    PubMed

    Gaskin, Cadeyrn J; Happell, Brenda

    2014-03-01

    Exploratory factor analysis (hereafter, factor analysis) is a complex statistical method that is integral to many fields of research. Using factor analysis requires researchers to make several decisions, each of which affects the solutions generated. In this paper, we focus on five major decisions that are made in conducting factor analysis: (i) establishing how large the sample needs to be, (ii) choosing between factor analysis and principal components analysis, (iii) determining the number of factors to retain, (iv) selecting a method of data extraction, and (v) deciding upon the methods of factor rotation. The purpose of this paper is threefold: (i) to review the literature with respect to these five decisions, (ii) to assess current practices in nursing research, and (iii) to offer recommendations for future use. The literature reviews illustrate that factor analysis remains a dynamic field of study, with recent research having practical implications for those who use this statistical method. The assessment was conducted on 54 factor analysis (and principal components analysis) solutions presented in the results sections of 28 papers published in the 2012 volumes of the 10 highest ranked nursing journals, based on their 5-year impact factors. The main findings from the assessment were that researchers commonly used (a) participants-to-items ratios for determining sample sizes (used for 43% of solutions), (b) principal components analysis (61%) rather than factor analysis (39%), (c) the eigenvalues greater than one rule and screen tests to decide upon the numbers of factors/components to retain (61% and 46%, respectively), (d) principal components analysis and unweighted least squares as methods of data extraction (61% and 19%, respectively), and (e) the Varimax method of rotation (44%). In general, well-established, but out-dated, heuristics and practices informed decision making with respect to the performance of factor analysis in nursing studies. Based on

  15. Measuring Ethnic Clustering and Exposure with the Q statistic: An Exploratory Analysis of Irish, Germans, and Yankees in 1880 Newark

    PubMed Central

    Páez, Antonio; Ruiz, Manuel; López, Fernando; Logan, John

    2013-01-01

    The study of population patterns has animated a large body of urban social research over the years. An important part of this literature is concerned with the identification and measurement of segregation patterns. Recently, emphatic calls have been made to develop measures that are better able to capture the geography of population patterns. The objective of this paper is to demonstrate the application of the Q statistic, developed for the analysis of spatial association of qualitative variables, to the detection of ethnic clustering and exposure patterns. The application is to historical data from 1880 Newark in the United States, with individuals classified by ethnicity and geo-coded by place of residence. Three ethnic groups, termed Irish, Germans, and Yankees are considered. Exploratory analysis with the Q statistic identifies significant differences in the tendency of individuals and building occupancy to cluster by ethnicity. In particular, there is evidence of a strong affinity within ethnic clusters, and some intermingling between Yankee and Irish residents. In contrast, the exposure of Germans to individuals of other groups is found to be more limited. PMID:24855322

  16. Prenatal Stress, Fearfulness, and the Epigenome: Exploratory Analysis of Sex Differences in DNA Methylation of the Glucocorticoid Receptor Gene.

    PubMed

    Ostlund, Brendan D; Conradt, Elisabeth; Crowell, Sheila E; Tyrka, Audrey R; Marsit, Carmen J; Lester, Barry M

    2016-01-01

    Exposure to stress in utero is a risk factor for the development of problem behavior in the offspring, though precise pathways are unknown. We examined whether DNA methylation of the glucocorticoid receptor gene, NR3C1, was associated with experiences of stress by an expectant mother and fearfulness in her infant. Mothers reported on prenatal stress and infant temperament when infants were 5 months old (n = 68). Buccal cells for methylation analysis were collected from each infant. Prenatal stress was not related to infant fearfulness or NR3C1 methylation in the sample as a whole. Exploratory sex-specific analysis revealed a trend-level association between prenatal stress and increased methylation of NR3C1 exon 1F for female, but not male, infants. In addition, increased methylation was significantly associated with greater fearfulness for females. Results suggest an experience-dependent pathway to fearfulness for female infants via epigenetic modification of the glucocorticoid receptor gene. Future studies should examine prenatal stress in a comprehensive fashion while considering sex differences in epigenetic processes underlying infant temperament. PMID:27462209

  17. Measuring Ethnic Clustering and Exposure with the Q statistic: An Exploratory Analysis of Irish, Germans, and Yankees in 1880 Newark.

    PubMed

    Páez, Antonio; Ruiz, Manuel; López, Fernando; Logan, John

    2012-01-01

    The study of population patterns has animated a large body of urban social research over the years. An important part of this literature is concerned with the identification and measurement of segregation patterns. Recently, emphatic calls have been made to develop measures that are better able to capture the geography of population patterns. The objective of this paper is to demonstrate the application of the Q statistic, developed for the analysis of spatial association of qualitative variables, to the detection of ethnic clustering and exposure patterns. The application is to historical data from 1880 Newark in the United States, with individuals classified by ethnicity and geo-coded by place of residence. Three ethnic groups, termed Irish, Germans, and Yankees are considered. Exploratory analysis with the Q statistic identifies significant differences in the tendency of individuals and building occupancy to cluster by ethnicity. In particular, there is evidence of a strong affinity within ethnic clusters, and some intermingling between Yankee and Irish residents. In contrast, the exposure of Germans to individuals of other groups is found to be more limited. PMID:24855322

  18. The Association of Academic Health Sciences Libraries Annual Statistics: an exploratory twenty-five-year trend analysis.

    PubMed

    Byrd, Gary D; Shedlock, James

    2003-04-01

    This paper presents an exploratory trend analysis of the statistics published over the past twenty-four editions of the Annual Statistics of Medical School Libraries in the United States and Canada. The analysis focuses on the small subset of nineteen consistently collected data variables (out of 656 variables collected during the history of the survey) to provide a general picture of the growth and changing dimensions of services and resources provided by academic health sciences libraries over those two and one-half decades. The paper also analyzes survey response patterns for U.S. and Canadian medical school libraries, as well as osteopathic medical school libraries surveyed since 1987. The trends show steady, but not dramatic, increases in annual means for total volumes collected, expenditures for staff, collections and other operating costs, personnel numbers and salaries, interlibrary lending and borrowing, reference questions, and service hours. However, when controlled for inflation, most categories of expenditure have just managed to stay level. The exceptions have been expenditures for staff development and travel and for collections, which have both outpaced inflation. The fill rate for interlibrary lending requests has remained steady at about 75%, but the mean ratio of items lent to items borrowed has decreased by nearly 50%.

  19. Prenatal Stress, Fearfulness, and the Epigenome: Exploratory Analysis of Sex Differences in DNA Methylation of the Glucocorticoid Receptor Gene

    PubMed Central

    Ostlund, Brendan D.; Conradt, Elisabeth; Crowell, Sheila E.; Tyrka, Audrey R.; Marsit, Carmen J.; Lester, Barry M.

    2016-01-01

    Exposure to stress in utero is a risk factor for the development of problem behavior in the offspring, though precise pathways are unknown. We examined whether DNA methylation of the glucocorticoid receptor gene, NR3C1, was associated with experiences of stress by an expectant mother and fearfulness in her infant. Mothers reported on prenatal stress and infant temperament when infants were 5 months old (n = 68). Buccal cells for methylation analysis were collected from each infant. Prenatal stress was not related to infant fearfulness or NR3C1 methylation in the sample as a whole. Exploratory sex-specific analysis revealed a trend-level association between prenatal stress and increased methylation of NR3C1 exon 1F for female, but not male, infants. In addition, increased methylation was significantly associated with greater fearfulness for females. Results suggest an experience-dependent pathway to fearfulness for female infants via epigenetic modification of the glucocorticoid receptor gene. Future studies should examine prenatal stress in a comprehensive fashion while considering sex differences in epigenetic processes underlying infant temperament. PMID:27462209

  20. Risk of myocardial infarction and stroke in bipolar disorder: a systematic review and exploratory meta-analysis

    PubMed Central

    Prieto, M.L.; Cuéllar-Barboza, A.B.; Bobo, W.V.; Roger, V.L.; Bellivier, F.; Leboyer, M.; West, C.P.; Frye, M.A.

    2016-01-01

    Objective To review the evidence on and estimate the risk of myocardial infarction and stroke in bipolar disorder. Method A systematic search using MEDLINE, EMBASE, PsycINFO, Web of Science, Scopus, Cochrane Database of Systematic Reviews, and bibliographies (1946 – May, 2013) was conducted. Case-control and cohort studies of bipolar disorder patients age 15 or older with myocardial infarction or stroke as outcomes were included. Two independent reviewers extracted data and assessed quality. Estimates of effect were summarized using random-effects meta-analysis. Results Five cohort studies including 13 115 911 participants (27 092 bipolar) were included. Due to the use of registers, different statistical methods, and inconsistent adjustment for confounders, there was significant methodological heterogeneity among studies. The exploratory meta-analysis yielded no evidence for a significant increase in the risk of myocardial infarction: [relative risk (RR): 1.09, 95% CI 0.96–1.24, P = 0.20; I2 = 6%]. While there was evidence of significant study heterogeneity, the risk of stroke in bipolar disorder was significantly increased (RR 1.74, 95% CI 1.29–2.35; P = 0.0003; I2 = 83%). Conclusion There may be a differential risk of myocardial infarction and stroke in patients with bipolar disorder. Confidence in these pooled estimates was limited by the small number of studies, significant heterogeneity and dissimilar methodological features. PMID:24850482

  1. Validation of the Malay Version of the Parental Bonding Instrument among Malaysian Youths Using Exploratory Factor Analysis

    PubMed Central

    MUHAMMAD, Noor Azimah; SHAMSUDDIN, Khadijah; OMAR, Khairani; SHAH, Shamsul Azhar; MOHD AMIN, Rahmah

    2014-01-01

    Background: Parenting behaviour is culturally sensitive. The aims of this study were (1) to translate the Parental Bonding Instrument into Malay (PBI-M) and (2) to determine its factorial structure and validity among the Malaysian population. Methods: The PBI-M was generated from a standard translation process and comprehension testing. The validation study of the PBI-M was administered to 248 college students aged 18 to 22 years. Results: Participants in the comprehension testing had difficulty understanding negative items. Five translated double negative items were replaced with five positive items with similar meanings. Exploratory factor analysis showed a three-factor model for the PBI-M with acceptable reliability. Four negative items (items 3, 4, 8, and 16) and item 19 were omitted from the final PBI-M list because of incorrect placement or low factor loading (< 0.32). Out of the final 20 items of the PBI-M, there were 10 items for the care factor, five items for the autonomy factor and five items for the overprotection factor. All the items loaded positively on their respective factors. Conclusion: The Malaysian population favoured positive items in answering questions. The PBI-M confirmed the three-factor model that consisted of care, autonomy and overprotection. The PBI-M is a valid and reliable instrument to assess the Malaysian parenting style. Confirmatory factor analysis may further support this finding. Keywords: Malaysia, parenting, questionnaire, validity PMID:25977634

  2. EXPLORATORY ANALYSIS OF THE EFFECTS OF PARTICULATE CHARACTERISTICS ON THE VARIATION IN PARTITIONING OF NONPOLAR ORGANIC CONTAMINANTS TO MARINE SEDIMENTS

    EPA Science Inventory

    The partitioning of nonpolar organic contaminants to marine sediments is considered to be controlled by the amount of organic carbon present. However, several studies propose that other characteristics of sediments may affect the partitioning of contaminants. For this exploratory...

  3. Applied behavior analysis: New directions from the laboratory

    PubMed Central

    Epling, W. Frank; Pierce, W. David

    1983-01-01

    Applied behavior analysis began when laboratory based principles were extended to humans inorder to change socially significant behavior. Recent laboratory findings may have applied relevance; however, the majority of basic researchers have not clearly communicated the practical implications of their work. The present paper samples some of the new findings and attempts to demonstrate their applied importance. Schedule-induced behavior which occurs as a by-product of contingencies of reinforcement is discussed. Possible difficulties in treatment and management of induced behaviors are considered. Next, the correlation-based law of effect and the implications of relative reinforcement are explored in terms of applied examples. Relative rate of reinforcement is then extended to the literature dealing with concurrent operants. Concurrent operant models may describe human behavior of applied importance, and several techniques for modification of problem behavior are suggested. As a final concern, the paper discusses several new paradigms. While the practical importance of these models is not clear at the moment, it may be that new practical advantages will soon arise. Thus, it is argued that basic research continues to be of theoretical and practical importance to applied behavior analysis. PMID:22478574

  4. Overview of MSFC's Applied Fluid Dynamics Analysis Group Activities

    NASA Technical Reports Server (NTRS)

    Garcia, Roberto; Wang, Tee-See; Griffin, Lisa; Turner, James E. (Technical Monitor)

    2001-01-01

    This document is a presentation graphic which reviews the activities of the Applied Fluid Dynamics Analysis Group at Marshall Space Flight Center (i.e., Code TD64). The work of this group focused on supporting the space transportation programs. The work of the group is in Computational Fluid Dynamic tool development. This development is driven by hardware design needs. The major applications for the design and analysis tools are: turbines, pumps, propulsion-to-airframe integration, and combustion devices.

  5. Overview of MSFC's Applied Fluid Dynamics Analysis Group Activities

    NASA Technical Reports Server (NTRS)

    Garcia, Roberto; Griffin, Lisa; Williams, Robert

    2002-01-01

    This viewgraph report presents an overview of activities and accomplishments of NASA's Marshall Space Flight Center's Applied Fluid Dynamics Analysis Group. Expertise in this group focuses on high-fidelity fluids design and analysis with application to space shuttle propulsion and next generation launch technologies. Topics covered include: computational fluid dynamics research and goals, turbomachinery research and activities, nozzle research and activities, combustion devices, engine systems, MDA development and CFD process improvements.

  6. Applied Behavior Analysis Is a Science And, Therefore, Progressive

    ERIC Educational Resources Information Center

    Leaf, Justin B.; Leaf, Ronald; McEachin, John; Taubman, Mitchell; Ala'i-Rosales, Shahla; Ross, Robert K.; Smith, Tristram; Weiss, Mary Jane

    2016-01-01

    Applied behavior analysis (ABA) is a science and, therefore, involves progressive approaches and outcomes. In this commentary we argue that the spirit and the method of science should be maintained in order to avoid reductionist procedures, stifled innovation, and rote, unresponsive protocols that become increasingly removed from meaningful…

  7. Progressive-Ratio Schedules and Applied Behavior Analysis

    ERIC Educational Resources Information Center

    Poling, Alan

    2010-01-01

    Establishing appropriate relations between the basic and applied areas of behavior analysis has been of long and persistent interest to the author. In this article, the author illustrates that there is a direct relation between how hard an organism will work for access to an object or activity, as indexed by the largest ratio completed under a…

  8. Context, Cognition, and Biology in Applied Behavior Analysis.

    ERIC Educational Resources Information Center

    Morris, Edward K.

    Behavior analysts are having their professional identities challenged by the roles that cognition and biology are said to play in the conduct and outcome of applied behavior analysis and behavior therapy. For cogniphiliacs, cognition and biology are central to their interventions because cognition and biology are said to reflect various processes,…

  9. Overview af MSFC's Applied Fluid Dynamics Analysis Group Activities

    NASA Technical Reports Server (NTRS)

    Garcia, Roberto; Griffin, Lisa; Williams, Robert

    2004-01-01

    This paper presents viewgraphs on NASA Marshall Space Flight Center's Applied Fluid Dynamics Analysis Group Activities. The topics include: 1) Status of programs at MSFC; 2) Fluid Mechanics at MSFC; 3) Relevant Fluid Dynamics Activities at MSFC; and 4) Shuttle Return to Flight.

  10. Exploratory Analysis of Sediment Related Disturbance on Post-Spate Periphyton Retention on the Ste. Marguerite River, Saguenay, Quebec.

    NASA Astrophysics Data System (ADS)

    Luce, J. J.; Lapointe, M.

    2004-05-01

    Both natural and human induced disturbance can cause significant shifts in the viability and spatial distribution of river organisms. The dominant primary producers in unshaded streams are benthic algae. Algae grow within a biofilm called periphyton and provide the main energy source driving production in higher trophic levels. Literature suggests that periphyton are adapted to a range of both resources (e.g. sunlight and nutrients) and disturbance (e.g. floods and grazing). Site scale studies of flood disturbance effects on periphyton have demonstrated that spatially discrete refuge zones (e.g. gravel clusters, boulders, inside of point bars) exist where periphyton removal after floods is minimal. The purpose of this study is to examine the hypothesis that stable refugia can be found within the drainage basin at larger spatial and temporal scales than previously demonstrated. The intent is to identify refuge zones through the study of geomorphic disturbance processes, resource availability and periphyton resistance. Four sedimentary links, characterized by 30 cross-sections, have been selected on the Ste Marguerite River, each providing a gradient of channel disturbance but limited nutrient variation. A sequence of spates during the 2003 field season were monitored for discharge, temperature, water quality and sediment mobility using fine sediment traps and tracer rocks. The overall approach employs a combination of field work, numerical modeling and statistical analyses. Exploratory data analysis will be presented examining the role of resources and disturbance responsible for sources of variability in post spate algal biomass.

  11. What does cancer treatment look like in consumer cancer magazines? An exploratory analysis of photographic content in consumer cancer magazines.

    PubMed

    Phillips, Selene G; Della, Lindsay J; Sohn, Steve H

    2011-04-01

    In an exploratory analysis of several highly circulated consumer cancer magazines, the authors evaluated congruency between visual images of cancer patients and target audience risk profile. The authors assessed 413 images of cancer patients/potential patients for demographic variables such as age, gender, and ethnicity/race. They compared this profile with actual risk statistics. The images in the magazines are considerably younger, more female, and more White than what is indicated by U.S. cancer risk statistics. The authors also assessed images for visual signs of cancer testing/diagnosis and treatment. Few individuals show obvious signs of cancer treatment (e.g., head scarves, skin/nail abnormalities, thin body types). Most images feature healthier looking people, some actively engaged in construction work, bicycling, and yoga. In contrast, a scan of the editorial content showed that nearly two thirds of the articles focus on treatment issues. To explicate the implications of this imagery-text discontinuity on readers' attention and cognitive processing, the authors used constructs from information processing and social identity theories. On the basis of these models/theories, the authors provide recommendations for consumer cancer magazines, suggesting that the imagery be adjusted to reflect cancer diagnosis realities for enhanced message attention and comprehension.

  12. Exploratory Analysis of the Comprehensive Application of the Islamic Concept of Zuhd in the Contemporary World

    ERIC Educational Resources Information Center

    Olohunfunmi, Ismail Abdul Fatai

    2015-01-01

    The main aim of the present study is to present a clear frame work of how to practically apply the concept "Zuhd" to individual Muslim life. It is an empirical research on the Islamic concept of "Zuhd." The method that is employed in the study is qualitative approach, whereby interviews were staged, recorded and transcribed.…

  13. Research in applied mathematics, numerical analysis, and computer science

    NASA Technical Reports Server (NTRS)

    1984-01-01

    Research conducted at the Institute for Computer Applications in Science and Engineering (ICASE) in applied mathematics, numerical analysis, and computer science is summarized and abstracts of published reports are presented. The major categories of the ICASE research program are: (1) numerical methods, with particular emphasis on the development and analysis of basic numerical algorithms; (2) control and parameter identification; (3) computational problems in engineering and the physical sciences, particularly fluid dynamics, acoustics, and structural analysis; and (4) computer systems and software, especially vector and parallel computers.

  14. Characterization of anomalies by applying methods of fractal analysis

    SciTech Connect

    Sakuma, M.; Kozma, R.; Kitamura, M.

    1996-01-01

    Fractal analysis is applied in a variety of research fields to characterize nonstationary data. Here, fractal analysis is used as a tool of characterization in time series. The fractal dimension is calculated by Higuchi`s method, and the effect of small data size on accuracy is studied in detail. Three types of fractal-based anomaly indicators are adopted: (a) the fractal dimension, (b) the error of the fractal dimension, and (c) the chi-square value of the linear fitting of the fractal curve in the wave number domain. Fractal features of time series can be characterized by introducing these three measures. The proposed method is applied to various simulated fractal time series with ramp, random, and periodic noise anomalies and also to neutron detector signals acquired in a nuclear reactor. Fractal characterization can successfully supplement conventional signal analysis methods especially if nonstationary and non-Gaussian features of the signal become important.

  15. Web 2.0 in the Professional LIS Literature: An Exploratory Analysis

    ERIC Educational Resources Information Center

    Aharony, Noa

    2011-01-01

    This paper presents a statistical descriptive analysis and a thorough content analysis of descriptors and journal titles extracted from the Library and Information Science Abstracts (LISA) database, focusing on the subject of Web 2.0 and its main applications: blog, wiki, social network and tags.The primary research questions include: whether the…

  16. Recent reinforcement-schedule research and applied behavior analysis

    PubMed Central

    Lattal, Kennon A.; Neef, Nancy A.

    1996-01-01

    Reinforcement schedules are considered in relation to applied behavior analysis by examining several recent laboratory experiments with humans and other animals. The experiments are drawn from three areas of contemporary schedule research: behavioral history effects on schedule performance, the role of instructions in schedule performance of humans, and dynamic schedules of reinforcement. All of the experiments are discussed in relation to the role of behavioral history in current schedule performance. The paper concludes by extracting from the experiments some more general issues concerning reinforcement schedules in applied research and practice. PMID:16795888

  17. Exploratory data analysis on data generated in the DOE subsurface microbiology program

    SciTech Connect

    Meglen, R.R.

    1990-06-01

    The preliminary results from the innovative subsurface microbiology research program indicate that new data on the nature of the link between the geosphere and biosphere have been generated. The diversity of scientific disciplines represented in the subsurface microbiology program reflects the complexity of the system under study. The research carried out by national laboratory and university research scientists is addressing fundamental questions about the abundance of microorganisms and factors controlling microbial activity in the complex subsurface hydrologic and geochemical environment. Long-term implications of this research for mitigating contamination are clear and researchers share the broader objective of linking the basic science with applied work.

  18. Exploratory Network Meta Regression Analysis of Stroke Prevention in Atrial Fibrillation Fails to Identify Any Interactions with Treatment Effect

    PubMed Central

    Batson, Sarah; Sutton, Alex; Abrams, Keith

    2016-01-01

    Background Patients with atrial fibrillation are at a greater risk of stroke and therefore the main goal for treatment of patients with atrial fibrillation is to prevent stroke from occurring. There are a number of different stroke prevention treatments available to include warfarin and novel oral anticoagulants. Previous network meta-analyses of novel oral anticoagulants for stroke prevention in atrial fibrillation acknowledge the limitation of heterogeneity across the included trials but have not explored the impact of potentially important treatment modifying covariates. Objectives To explore potentially important treatment modifying covariates using network meta-regression analyses for stroke prevention in atrial fibrillation. Methods We performed a network meta-analysis for the outcome of ischaemic stroke and conducted an exploratory regression analysis considering potentially important treatment modifying covariates. These covariates included the proportion of patients with a previous stroke, proportion of males, mean age, the duration of study follow-up and the patients underlying risk of ischaemic stroke. Results None of the covariates explored impacted relative treatment effects relative to placebo. Notably, the exploration of ‘study follow-up’ as a covariate supported the assumption that difference in trial durations is unimportant in this indication despite the variation across trials in the network. Conclusion This study is limited by the quantity of data available. Further investigation is warranted, and, as justifying further trials may be difficult, it would be desirable to obtain individual patient level data (IPD) to facilitate an effort to relate treatment effects to IPD covariates in order to investigate heterogeneity. Observational data could also be examined to establish if there are potential trends elsewhere. The approach and methods presented have potentially wide applications within any indication as to highlight the potential benefit

  19. Fall in homicides in the city of São Paulo: an exploratory analysis of possible determinants.

    PubMed

    Peres, Maria Fernanda Tourinho; de Almeida, Juliana Feliciano; Vicentin, Diego; Cerda, Magdalena; Cardia, Nancy; Adorno, Sérgio

    2011-12-01

    Throughout the first decade of the 2000s the homicide mortality rate (HMR) showed a significant reduction in the state and the city of São Paulo (MSP). The aim of this study is to describe the trend of HMR, socio-demographic indicators, and the investment in social and public security, and to analyze the correlation between HMR and independent variables in the MSP between 1996 and 2008. An exploratory time series ecological study was conducted. The following variables were included: HMR per 100,000 inhabitants, socio-demographic indicators, and investments in social and public security. The moving-averages for all variables were calculated and trends were analyzed through Simple Linear Regression models. Annual percentage changes, the average annual change and periodic percentage changes were calculated for all variables, and the associations between annual percentage changes were tested by Spearman's correlation analysis. Correlations were found for the proportion of youth in the population (r = 0.69), unemployment rate (r = 0.60), State budget for education and culture (r = 0.87) and health and sanitation (r = 0.56), municipal (r = 0.68) and State (r = 0.53) budget for Public Security, firearms seized (r = 0.69) and the incarceration rate (r = 0.71). The results allow us to support the hypothesis that demographic changes, acceleration of the economy, in particular the fall in unemployment, investment in social policies and changes in public security policies act synergistically to reduce HMR in São Paulo. Complex models of analysis, incorporating the joint action of different potential explanatory variables, should be developed.

  20. Fall in homicides in the City of São Paulo: an exploratory analysis of possible determinants

    PubMed Central

    Peres, Maria Fernanda Tourinho; de Almeida, Juliana Feliciano; Vicentin, Diego; Cerda, Magdalena; Cardia, Nancy; Adorno, Sérgio

    2012-01-01

    Throughout the first decade of the 2000s the homicide mortality rate (HMR) showed a significant reduction in the state and the city of São Paulo (MSP). The aim of this study is to describe the trend of HMR, socio-demographic indicators, and the investment in social and public security, and to analyze the correlation between HMR and independent variables in the MSP between 1996 and 2008. An exploratory time series ecological study was conducted. The following variables were included: HMR per 100,000 inhabitants, socio-demographic indicators, and investments in social and public security. The moving-averages for all variables were calculated and trends were analyzed through Simple Linear Regression models. Annual percentage changes, the average annual change and periodic percentage changes were calculated for all variables, and the associations between annual percentage changes were tested by Spearman’s correlation analysis. Correlations were found for the proportion of youth in the population (r = 0.69), unemployment rate (r = 0.60), State budget for education and culture (r = 0.87) and health and sanitation (r = 0.56), municipal (r = 0.68) and State (r = 0.53) budget for Public Security, firearms seized (r = 0.69) and the incarceration rate (r = 0.71). The results allow us to support the hypothesis that demographic changes, acceleration of the economy, in particular the fall in unemployment, investment in social policies and changes in public security policies act synergistically to reduce HMR in São Paulo. Complex models of analysis, incorporating the joint action of different potential explanatory variables, should be developed. PMID:22218669

  1. Exploratory and confirmatory factor analysis of the Adolescent Motivation to Cook Questionnaire: A Self-Determination Theory instrument.

    PubMed

    Miketinas, Derek; Cater, Melissa; Bailey, Ariana; Craft, Brittany; Tuuri, Georgianna

    2016-10-01

    Increasing adolescents' motivation and competence to cook may improve diet quality and reduce the risk for obesity and chronic diseases. The objective of this study was to develop an instrument to measure adolescents' intrinsic motivation to prepare healthy foods and the four psychological needs that facilitate motivation identified by the Self Determination Theory (SDT). Five hundred ninety-three high school students (62.7% female) were recruited to complete the survey. Participants indicated to what extent they agreed or disagreed with 25 statements pertaining to intrinsic motivation and perceived competence to cook, and their perceived autonomy support, autonomy, and relatedness to teachers and classmates. Data were analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and internal consistency reliability. EFA returned a five-factor structure explaining 65.3% of the variance; and CFA revealed that the best model fit was a five-factor structure (χ2 = 524.97 (265); Comparative Fit Index = 0.93; RMSEA = 0.056; and SRMR = 0.04). The sub-scales showed good internal consistency (Intrinsic Motivation: α = 0.94; Perceived Competence: α = 0.92; Autonomy Support: α = 0.94; Relatedness: α = 0.90; and Autonomy: α = 0.85). These results support the application of the Adolescent Motivation to Cook Questionnaire to measure adolescents' motivation and perceived competence to cook, autonomy support by their instructor, autonomy in the classroom, and relatedness to peers. Further studies are needed to investigate whether this instrument can measure change in cooking intervention programs. PMID:27346088

  2. Exploratory and confirmatory factor analysis of the Adolescent Motivation to Cook Questionnaire: A Self-Determination Theory instrument.

    PubMed

    Miketinas, Derek; Cater, Melissa; Bailey, Ariana; Craft, Brittany; Tuuri, Georgianna

    2016-10-01

    Increasing adolescents' motivation and competence to cook may improve diet quality and reduce the risk for obesity and chronic diseases. The objective of this study was to develop an instrument to measure adolescents' intrinsic motivation to prepare healthy foods and the four psychological needs that facilitate motivation identified by the Self Determination Theory (SDT). Five hundred ninety-three high school students (62.7% female) were recruited to complete the survey. Participants indicated to what extent they agreed or disagreed with 25 statements pertaining to intrinsic motivation and perceived competence to cook, and their perceived autonomy support, autonomy, and relatedness to teachers and classmates. Data were analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and internal consistency reliability. EFA returned a five-factor structure explaining 65.3% of the variance; and CFA revealed that the best model fit was a five-factor structure (χ2 = 524.97 (265); Comparative Fit Index = 0.93; RMSEA = 0.056; and SRMR = 0.04). The sub-scales showed good internal consistency (Intrinsic Motivation: α = 0.94; Perceived Competence: α = 0.92; Autonomy Support: α = 0.94; Relatedness: α = 0.90; and Autonomy: α = 0.85). These results support the application of the Adolescent Motivation to Cook Questionnaire to measure adolescents' motivation and perceived competence to cook, autonomy support by their instructor, autonomy in the classroom, and relatedness to peers. Further studies are needed to investigate whether this instrument can measure change in cooking intervention programs.

  3. Boston Society's 11th Annual Applied Pharmaceutical Analysis conference.

    PubMed

    Lee, Violet; Liu, Ang; Groeber, Elizabeth; Moghaddam, Mehran; Schiller, James; Tweed, Joseph A; Walker, Gregory S

    2016-02-01

    Boston Society's 11th Annual Applied Pharmaceutical Analysis conference, Hyatt Regency Hotel, Cambridge, MA, USA, 14-16 September 2015 The Boston Society's 11th Annual Applied Pharmaceutical Analysis (APA) conference took place at the Hyatt Regency hotel in Cambridge, MA, on 14-16 September 2015. The 3-day conference affords pharmaceutical professionals, academic researchers and industry regulators the opportunity to collectively participate in meaningful and relevant discussions impacting the areas of pharmaceutical drug development. The APA conference was organized in three workshops encompassing the disciplines of regulated bioanalysis, discovery bioanalysis (encompassing new and emerging technologies) and biotransformation. The conference included a short course titled 'Bioanalytical considerations for the clinical development of antibody-drug conjugates (ADCs)', an engaging poster session, several panel and round table discussions and over 50 diverse talks from leading industry and academic scientists. PMID:26853375

  4. The political economy of AIDS leadership in developing countries: an exploratory analysis.

    PubMed

    Bor, Jacob

    2007-04-01

    The commitment of high-level government leaders is widely recognized as a key factor in curbing national AIDS epidemics. But where does such leadership come from? This paper presents a quantitative analysis of the determinants of AIDS leadership in 54 developing countries, using the 2003 AIDS Program Effort Index "political support" score as an indicator of political commitment. Explanatory variables include measures of political institutions as well as economic development and integration. Models developed in the analysis explain over half of the variation in commitment across the countries in the sample. In particular, press freedoms, income equality, and HIV prevalence stand out as determinants of political commitment.

  5. Conference report: summary of the 2010 Applied Pharmaceutical Analysis Conference.

    PubMed

    Unger, Steve E

    2011-01-01

    This year, the Applied Pharmaceutical Analysis meeting changed its venue to the Grand Tremont Hotel in Baltimore, MD, USA. Proximity to Washington presented the opportunity to have four speakers from the US FDA. The purpose of the 4-day conference is to provide a forum in which pharmaceutical and CRO scientists can discuss and develop best practices for scientific challenges in bioanalysis and drug metabolism. This year's theme was 'Bioanalytical and Biotransformation Challenges in Meeting Global Regulatory Expectations & New Technologies for Drug Discovery Challenges'. Applied Pharmaceutical Analysis continued its tradition of highlighting new technologies and its impact on drug discovery, drug metabolism and small molecule-regulated bioanalysis. This year, the meeting included an integrated focus on metabolism in drug discovery and development. Middle and large molecule (biotherapeutics) drug development, immunoassay, immunogenicity and biomarkers were also integrated into the forum. Applied Pharmaceutical Analysis offered an enhanced diversity of topics this year while continuing to share experiences of discovering and developing new medicines. PMID:21175361

  6. Understanding Older Adults' Perceptions of Internet Use: An Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Zheng, Robert; Spears, Jeffrey; Luptak, Marilyn; Wilby, Frances

    2015-01-01

    The current study examined factors related to older adults' perceptions of Internet use. Three hundred ninety five older adults participated in the study. The factor analysis revealed four factors perceived by older adults as critical to their Internet use: social connection, self-efficacy, the need to seek financial information, and the need to…

  7. Strategies for Distributing Time When Studying Text: An Exploratory Cluster-Analysis Approach.

    ERIC Educational Resources Information Center

    Freebody, Peter; And Others

    1986-01-01

    Indicates that membership in pausing and skimming clusters appears to relate to text comprehension, grade level, and rated academic ability, but that these relationships are not all simple or direct. Finds that the cluster-analytic approach provides a useful empirical adjunct to current theoretical perspectives on text analysis and reading…

  8. Student Motivational Profiles in an Introductory MIS Course: An Exploratory Cluster Analysis

    ERIC Educational Resources Information Center

    Nelson, Klara

    2014-01-01

    This study profiles students in an introductory MIS course according to a variety of variables associated with choice of academic major. The data were collected through a survey administered to 12 sections of the course. A two-step cluster analysis was performed with gender as a categorical variable and students' perceptions of task value…

  9. Exploratory Mokken Scale Analysis as a Dimensionality Assessment Tool: Why Scalability Does Not Imply Unidimensionality

    ERIC Educational Resources Information Center

    Smits, Iris A. M.; Timmerman, Marieke E.; Meijer, Rob R.

    2012-01-01

    The assessment of the number of dimensions and the dimensionality structure of questionnaire data is important in scale evaluation. In this study, the authors evaluate two dimensionality assessment procedures in the context of Mokken scale analysis (MSA), using a so-called fixed lowerbound. The comparative simulation study, covering various…

  10. Assessing Model Fit: Caveats and Recommendations for Confirmatory Factor Analysis and Exploratory Structural Equation Modeling

    ERIC Educational Resources Information Center

    Perry, John L.; Nicholls, Adam R.; Clough, Peter J.; Crust, Lee

    2015-01-01

    Despite the limitations of overgeneralizing cutoff values for confirmatory factor analysis (CFA; e.g., Marsh, Hau, & Wen, 2004), they are still often employed as golden rules for assessing factorial validity in sport and exercise psychology. The purpose of this study was to investigate the appropriateness of using the CFA approach with these…

  11. Supplementary Analysis for "Measuring Up 2000": An Exploratory Report. National Center Report.

    ERIC Educational Resources Information Center

    Martinez, Mario

    This report was created to generate ideas about the kinds of data that might be used to produce follow-up analyses of "Measuring Up 2000," the state-by-state report card for higher education. The analysis attempts to present report card data and related information graphically and mathematically in ways that might be useful to policymakers and…

  12. Role of Salivary and Candidal Proteins in Denture Stomatitis; an exploratory proteomic analysis

    PubMed Central

    Byrd, Warren C.; Schwartz-Baxter, Sarah; Carlson, Jim; Barros, Silvana; Offenbacher, Steven; Bencharit, Sompop

    2014-01-01

    Denture stomatitis, inflammation and redness beneath a denture, affects nearly half of all denture wearers. Candida organism, the presence of a denture, saliva, and host immunity are the key etiological factors for the condition. The role of salivary proteins in denture stomatitis is not clear. In this study 30 edentulous subjects wearing a maxillary complete denture were recruited. Unstimulated whole saliva from each subject was collected and pooled into two groups (n=15 each); healthy and stomatitis (Newton classification II and III). Label-free multidimensional liquid chromatography/tandem mass spectrometry (2D-LC-MS/MS) proteomics on two mass spectrometry platforms were used to determine peptide mass differences between control and stomatitis groups. Cluster analysis and principal component analysis were used to determine differential expression among the groups. The two proteomic platforms identified 97 and 176 proteins (ANOVA; p<0.01) differentially expressed among the healthy, type 2 and 3 stomatitis groups. Three proteins including carbonic anhydrase 6, cystatin C, and cystatin SN were found to be the same as previous study. Salivary proteomic profiles of patients with denture stomatitis were found to be uniquely different from controls. Analysis of protein components suggests that certain salivary proteins may predispose some patients to denture stomatitis while others are believed to be involved in the reaction to fungal infection. Analysis of candidal proteins suggest that multiple species of candidal organisms play a role in denture stomatitis. PMID:24947908

  13. Role of salivary and candidal proteins in denture stomatitis: an exploratory proteomic analysis.

    PubMed

    Byrd, Warren C; Schwartz-Baxter, Sarah; Carlson, Jim; Barros, Silvana; Offenbacher, Steven; Bencharit, Sompop

    2014-07-29

    Denture stomatitis, inflammation and redness beneath a denture, affects nearly half of all denture wearers. Candidal organisms, the presence of a denture, saliva, and host immunity are the key etiological factors for the condition. The role of salivary proteins in denture stomatitis is not clear. In this study 30 edentulous subjects wearing a maxillary complete denture were recruited. Unstimulated whole saliva from each subject was collected and pooled into two groups (n = 15 each), healthy and stomatitis (Newton classification II and III). Label-free multidimensional liquid chromatography/tandem mass spectrometry (2D-LC-MS/MS) proteomics on two mass spectrometry platforms were used to determine peptide mass differences between control and stomatitis groups. Cluster analysis and principal component analysis were used to determine the differential expression among the groups. The two proteomic platforms identified 97 and 176 proteins (ANOVA; p < 0.01) differentially expressed among the healthy, type 2 and 3 stomatitis groups. Three proteins including carbonic anhydrase 6, cystatin C, and cystatin SN were found to be the same as previous study. Salivary proteomic profiles of patients with denture stomatitis were found to be uniquely different from controls. Analysis of protein components suggests that certain salivary proteins may predispose some patients to denture stomatitis while others are believed to be involved in the reaction to fungal infection. Analysis of candidal proteins suggests that multiple species of candidal organisms play a role in denture stomatitis.

  14. Community College Student Engagement Patterns: A Typology Revealed through Exploratory Cluster Analysis

    ERIC Educational Resources Information Center

    Saenz, Victor B.; Hatch, Deryl; Bukoski, Beth E.; Kim, Suyun; Lee, Kye-hyoung; Valdez, Patrick

    2011-01-01

    This study employs survey data from the Center for Community College Student Engagement to examine the similarities and differences that exist across student-level domains in terms of student engagement in community colleges. In total, the sample used in the analysis pools data from 663 community colleges and includes more than 320,000 students.…

  15. An Exploratory Study Examining the Feasibility of Using Bayesian Networks to Predict Circuit Analysis Understanding

    ERIC Educational Resources Information Center

    Chung, Gregory K. W. K.; Dionne, Gary B.; Kaiser, William J.

    2006-01-01

    Our research question was whether we could develop a feasible technique, using Bayesian networks, to diagnose gaps in student knowledge. Thirty-four college-age participants completed tasks designed to measure conceptual knowledge, procedural knowledge, and problem-solving skills related to circuit analysis. A Bayesian network was used to model…

  16. Emotional Psychological and Related Problems among Truant Youths: An Exploratory Latent Class Analysis

    ERIC Educational Resources Information Center

    Dembo, Richard; Briones-Robinson, Rhissa; Ungaro, Rocio Aracelis; Gulledge, Laura M.; Karas, Lora M.; Winters, Ken C.; Belenko, Steven; Greenbaum, Paul E.

    2012-01-01

    Intervention Project. Results identified two classes of youths: Class 1(n=9) - youths with low levels of delinquency, mental health and substance abuse issues; and Class 2(n=37) - youths with high levels of these problems. Comparison of these two classes on their urine analysis test results and parent/guardian reports of traumatic events found…

  17. The Representation of Diversity in Marketing Principles Texts: An Exploratory Analysis.

    ERIC Educational Resources Information Center

    Foxman, Ellen; Easterling, Debbie

    1999-01-01

    Content analysis of portrayals of organizations and individuals in 32 marketing textbooks showed that in many respects their depiction of the actual U.S. workplace was not accurate. Women and people with disabilities were underrepresented; results for ethnic minorities were unclear because of difficulties of identification in print. (SK)

  18. Emotional/psychological and related problems among truant youths: An exploratory latent class analysis

    PubMed Central

    Dembo, Richard; Briones-Robinson, Rhissa; Ungaro, Rocio; Gulledge, Laura; Karas, Lora; Winters, Ken C.; Belenko, Steven; Greenbaum, Paul E.

    2010-01-01

    Latent class analysis was conducted on the psychosocial problems experienced by truant youths. Data were obtained from baseline interviews completed on 131 youths and their parents/guardians involved in a NIDA-funded, Brief Intervention Project. Results identified two classes of youths: Class 1(n=94): youths with low levels of delinquency, mental health and substance abuse issues, Class 2(n=37): youths with high levels of these problems. Comparison of these two classes on their urine analysis test results and parent/guardian reports of traumatic events found significant (p<.05) differences between them that were consistent with their problem group classification. Our results have important implications for research and practice. PMID:23766624

  19. Extraction of alkaloids for NMR-based profiling: exploratory analysis of an archaic Cinchona bark collection.

    PubMed

    Yilmaz, Ali; Nyberg, Nils T; Jaroszewski, Jerzy W

    2012-11-01

    A museum collection of Cinchonae cortex samples (n = 117), from the period 1850-1950, was extracted with a mixture of chloroform-d1, methanol-d4, water-d2, and perchloric acid in the ratios 5 : 5 : 1 : 1. The extracts were directly analyzed using 1H NMR spectroscopy (600 MHz) and the spectra evaluated using principal component analysis (PCA) and total statistical correlation spectroscopy (STOCSY). A new method called STOCSY-CA, where CA stands for component analysis, is described, and an analysis using this method is presented. It was found that the samples had a rather homogenous content of the well-known cinchona alkaloids quinine, cinchonine, and cinchonidine without any apparent clustering. Signals from analogues were detected but not in substantial amounts. The main variation was related to the absolute amounts of extracted alkaloids, which was attributed to the evolution of the Cinchona tree cultivation during the period in which the samples were collected.

  20. Exploratory Data Analysis Using a Dedicated Visualization App: Looking for Patterns in Volcanic Activity

    NASA Astrophysics Data System (ADS)

    van Manen, S. M.; Chen, S.

    2015-12-01

    Here we present an App designed to visualize and identify patterns in volcanic activity during the last ten years. It visualizes VEI (volcanic explosivity index) levels, population size, frequency of activity, and geographic region, and is designed to address the issue of oversampling of data. Often times, it is difficult to access a large set of data that can be scattered at first glance and hard to digest without visual aid. This App serves as a model that solves this issue and can be applied to other data. To enable users to quickly assess the large data set it breaks down the apparently chaotic abundance of information into categories and graphic indicators: color is used to indicate the VEI level, size for population size within 5 km of a volcano, line thickness for frequency of activity, and a grid to pinpoint a volcano's latitude. The categories and layers within them can be turned on and off by the user, enabling them to scroll through and compare different layers of data. By visualising the data this way, patterns began to emerge. For example, certain geographic regions had more explosive eruptions than others. Another good example was that low frequency larger impact volcanic eruptions occurred more irregularly than smaller impact volcanic eruptions, which had a more stable frequencies. Although these findings are not unexpected, the easy to navigate App does showcase the potential of data visualization for the rapid appraisal of complex and abundant multi-dimensional geoscience data.

  1. Identifying determinants of nations' wetland management programs using structural equation modeling: An exploratory analysis

    USGS Publications Warehouse

    La Peyre, M.K.; Mendelssohn, I.A.; Reams, M.A.; Templet, P.H.; Grace, J.B.

    2001-01-01

    Integrated management and policy models suggest that solutions to environmental issues may be linked to the socioeconomic and political Characteristics of a nation. In this study, we empirically explore these suggestions by applying them to the wetland management activities of nations. Structural equation modeling was used to evaluate a model of national wetland management effort and one of national wetland protection. Using five predictor variables of social capital, economic capital, environmental and political characteristics, and land-use pressure, the multivariate models were able to explain 60% of the variation in nations' wetland protection efforts based on data from 90 nations, as defined by level of participation, in the international wetland convention. Social capital had the largest direct effect on wetland protection efforts, suggesting that increased social development may eventually lead to better wetland protection. In contrast, increasing economic development had a negative linear relationship with wetland protection efforts, suggesting the need for explicit wetland protection programs as nations continue to focus on economic development. Government, environmental characteristics, and land-use pressure also had a positive direct effect on wetland protection, and mediated the effect of social capital on wetland protection. Explicit wetland protection policies, combined with a focus on social development, would lead to better wetland protection at the national level.

  2. Obesity-mediated association between exposure to brominated trihalomethanes and type II diabetes mellitus: an exploratory analysis.

    PubMed

    Andra, Syam S; Charisiadis, Pantelis; Makris, Konstantinos C

    2014-07-01

    With the exception of chloroform, the rest of trihalomethanes (THM), the so-called brominated THM (Br-THM) are composed of bromine-substituted molecules with increased lipophilicity and potency to biological tissues. The THM are formed within disinfected tap water and their health effects, under research, range from cancer to adverse reproductive outcomes. However, the association between human exposures to Br-THM and the risk of developing type II diabetes mellitus (T2DM) and metabolic co-morbidities, such as obesity and non-alcoholic steatohepatitis has never been previously explored. The objective of this exploratory analysis was to address obesity-mediated associations between urinary concentrations of brominated THM and incidences of T2DM in a Cypriot adult population (n=326). First morning urine voids were collected once during summer and another time during winter while a detailed questionnaire was administered to participants. Creatinine-adjusted urinary Br-THM analyte concentrations were significantly (p<0.05) higher in T2DM cases when compared with those in healthy individuals. Multivariate logistic regression models adjusted for potential confounders showed that participants with ≥30 kg m(-2) BMI were at a higher T2DM risk (OR=8.42, 95% CI: 1.97, 45.5; p<0.01) when compared with that of normal weight participants (<25 kg m(-2)). About 4 times higher risk for developing T2DM was observed for individuals in the upper tertile of urinary Br-THM levels (OR=3.99, 95% CI: 1.07, 19.7; p<0.05) when compared with the lower tertile participants. Among the participants with BMI≥25 kg m(-2), urinary Br-THM levels were significantly (p<0.001) higher in diabetics than in healthy individuals. Ingestion and non-ingestion exposures to Br-THM deserve careful consideration in relevant epidemiological studies, as a possible environmental risk factor of T2DM.

  3. An exploratory multilevel analysis of income, income inequality and self-rated health of the elderly in China

    PubMed Central

    Feng, Zhixin; Wang, Wenfei Winnie; Jones, Kelvyn; Li, Yaqing

    2013-01-01

    In the last three decades, China has experienced rapid economic development and growing economic inequality, such that economic disparities between rural and urban areas, as well as coastal and interior areas have deepened. Since the late 1990s China has also experienced an ageing population which has attracted attention to the wellbeing of the rapidly growing number of elderly. This research aims to characterise province differences in health and to explore the effects of individual income and economic disparity in the form of income inequality on health outcomes of the elderly. The study is based on the Chinese Longitudinal Healthy Longevity Survey data collected in 2008 for 23 provinces. Multilevel logistic models are employed to investigate the relationship between income, income inequality and self-rated health for the elderly using both individual and province-level variables. Results are presented as relative odds ratios, and for province differentials as Median Odds Ratios. The analysis is deliberately exploratory so as to find evidence of income effects if they exist and particular attention is placed on how province-level inequality (contemporaneous and lagged) may moderate individual relationships. The results show that the health of the elderly is not only affected by individual income (the odds of poor health are 3 times greater for the elderly with the lowest income compared to those at the upper quartile) but also by a small main effect for province-level income inequality (odds ratio of 1.019). There are significant cross-level interactions such that where inequality is high there are greater differences between those with and without formal education, and between men and women with the latter experiencing poorer health. PMID:23063218

  4. An exploratory multilevel analysis of income, income inequality and self-rated health of the elderly in China.

    PubMed

    Feng, Zhixin; Wang, Wenfei Winnie; Jones, Kelvyn; Li, Yaqing

    2012-12-01

    In the last three decades, China has experienced rapid economic development and growing economic inequality, such that economic disparities between rural and urban areas, as well as coastal and interior areas have deepened. Since the late 1990s China has also experienced an ageing population which has attracted attention to the wellbeing of the rapidly growing number of elderly. This research aims to characterise province differences in health and to explore the effects of individual income and economic disparity in the form of income inequality on health outcomes of the elderly. The study is based on the Chinese Longitudinal Healthy Longevity Survey data collected in 2008 for 23 provinces. Multilevel logistic models are employed to investigate the relationship between income, income inequality and self-rated health for the elderly using both individual and province-level variables. Results are presented as relative odds ratios, and for province differentials as Median Odds Ratios. The analysis is deliberately exploratory so as to find evidence of income effects if they exist and particular attention is placed on how province-level inequality (contemporaneous and lagged) may moderate individual relationships. The results show that the health of the elderly is not only affected by individual income (the odds of poor health are 3 times greater for the elderly with the lowest income compared to those at the upper quartile) but also by a small main effect for province-level income inequality (odds ratio of 1.019). There are significant cross-level interactions such that where inequality is high there are greater differences between those with and without formal education, and between men and women with the latter experiencing poorer health.

  5. An exploratory data analysis of electroencephalograms using the functional boxplots approach

    PubMed Central

    Ngo, Duy; Sun, Ying; Genton, Marc G.; Wu, Jennifer; Srinivasan, Ramesh; Cramer, Steven C.; Ombao, Hernando

    2015-01-01

    Many model-based methods have been developed over the last several decades for analysis of electroencephalograms (EEGs) in order to understand electrical neural data. In this work, we propose to use the functional boxplot (FBP) to analyze log periodograms of EEG time series data in the spectral domain. The functional bloxplot approach produces a median curve—which is not equivalent to connecting medians obtained from frequency-specific boxplots. In addition, this approach identifies a functional median, summarizes variability, and detects potential outliers. By extending FBPs analysis from one-dimensional curves to surfaces, surface boxplots are also used to explore the variation of the spectral power for the alpha (8–12 Hz) and beta (16–32 Hz) frequency bands across the brain cortical surface. By using rank-based nonparametric tests, we also investigate the stationarity of EEG traces across an exam acquired during resting-state by comparing the spectrum during the early vs. late phases of a single resting-state EEG exam. PMID:26347598

  6. Exploratory analysis of the spatio-temporal deformation of the myocardium during systole from tagged MRI.

    PubMed

    Clarysse, Patrick; Han, Meimei; Croisille, Pierre; Magnin, Isabelle E

    2002-11-01

    Myocardial contractile function is, with perfusion, one of the main affected factors in ischemic heart diseases. In this paper, we propose an original framework based on functional data analysis for the quantitative study of spatio-temporal parameters related to the myocardial contraction mechanics. The mechanical strains in the left-ventricular (LV) myocardium are computed from tagged magnetic resonance imaging cardiac sequences. A statistical functional model of the normal contractile function of the LV is build from the study of eight examinations on healthy subjects. We show that it is possible to detect abnormal strain patterns comparatively to this model, by generating distance maps at rest and under pharmacological stress. We demonstrate the consistency of the results for the circumferential deformation parameter on healthy and pathological data sets. PMID:12450363

  7. fluff: exploratory analysis and visualization of high-throughput sequencing data

    PubMed Central

    Georgiou, Georgios

    2016-01-01

    Summary. In this article we describe fluff, a software package that allows for simple exploration, clustering and visualization of high-throughput sequencing data mapped to a reference genome. The package contains three command-line tools to generate publication-quality figures in an uncomplicated manner using sensible defaults. Genome-wide data can be aggregated, clustered and visualized in a heatmap, according to different clustering methods. This includes a predefined setting to identify dynamic clusters between different conditions or developmental stages. Alternatively, clustered data can be visualized in a bandplot. Finally, fluff includes a tool to generate genomic profiles. As command-line tools, the fluff programs can easily be integrated into standard analysis pipelines. The installation is straightforward and documentation is available at http://fluff.readthedocs.org. Availability. fluff is implemented in Python and runs on Linux. The source code is freely available for download at https://github.com/simonvh/fluff. PMID:27547532

  8. The economic impacts of noxious facilities on wages and property values: An exploratory analysis

    SciTech Connect

    Nieves, L.A.; Hemphill, R.C.; Clark, D.E.

    1991-05-01

    Recent assessments of socioeconomic impacts resulting from the location of potentially hazardous facilities have concentrated on the issue of negative public perceptions and their resulting economic consequences. This report presents an analysis designed to answer the question: Can economic impacts resulting from negative perceptions of ``noxious facilities`` be identified and measured? To identify the impacts of negative perceptions, data on noxious facilities sited throughout the United States were compiled, and secondary economic and demographic data sufficient to analyze the economic impacts on the surrounding study areas were assembled. This study uses wage rate and property value differentials to measure impacts on social welfare so that the extent to which noxious facilities and their associated activities have affected surrounding areas can be determined.

  9. The economic impacts of noxious facilities on wages and property values: An exploratory analysis

    SciTech Connect

    Nieves, L.A.; Hemphill, R.C.; Clark, D.E.

    1991-05-01

    Recent assessments of socioeconomic impacts resulting from the location of potentially hazardous facilities have concentrated on the issue of negative public perceptions and their resulting economic consequences. This report presents an analysis designed to answer the question: Can economic impacts resulting from negative perceptions of noxious facilities'' be identified and measured To identify the impacts of negative perceptions, data on noxious facilities sited throughout the United States were compiled, and secondary economic and demographic data sufficient to analyze the economic impacts on the surrounding study areas were assembled. This study uses wage rate and property value differentials to measure impacts on social welfare so that the extent to which noxious facilities and their associated activities have affected surrounding areas can be determined.

  10. How safe is adventure tourism in New Zealand? An exploratory analysis.

    PubMed

    Bentley, T; Page, S; Meyer, D; Chalmers, D; Laird, I

    2001-08-01

    The paper reports findings from a multidisciplinary programme of research, the major aims of which were to determine the nature and extent of the New Zealand adventure tourism injury problem. Analysis of hospital discharge and mortality data for a 15-year period identified adventure tourism-related activities as contributing to approximately 20% of overseas visitor injuries, and 22% of fatalities. Activities that commonly involve independent-unguided adventure tourism, notably mountaineering, skiing and tramping, contributed most to injury and fatality incidence. Horse riding and cycling activities were identified from hospital discharge data and adventure tourism operators' reported client injury-incidence, as the commercial adventure tourism activities most frequently involved in client injuries. Falls were the most common injury events, and a range of client, equipment, environmental and organisational risk factors were identified. Possible interventions to reduce injury risk among overseas and domestic adventure tourists are discussed.

  11. fluff: exploratory analysis and visualization of high-throughput sequencing data.

    PubMed

    Georgiou, Georgios; van Heeringen, Simon J

    2016-01-01

    In this article we describe fluff, a software package that allows for simple exploration, clustering and visualization of high-throughput sequencing data mapped to a reference genome. The package contains three command-line tools to generate publication-quality figures in an uncomplicated manner using sensible defaults. Genome-wide data can be aggregated, clustered and visualized in a heatmap, according to different clustering methods. This includes a predefined setting to identify dynamic clusters between different conditions or developmental stages. Alternatively, clustered data can be visualized in a bandplot. Finally, fluff includes a tool to generate genomic profiles. As command-line tools, the fluff programs can easily be integrated into standard analysis pipelines. The installation is straightforward and documentation is available at http://fluff.readthedocs.org. Availability. fluff is implemented in Python and runs on Linux. The source code is freely available for download at https://github.com/simonvh/fluff.

  12. fluff: exploratory analysis and visualization of high-throughput sequencing data.

    PubMed

    Georgiou, Georgios; van Heeringen, Simon J

    2016-01-01

    In this article we describe fluff, a software package that allows for simple exploration, clustering and visualization of high-throughput sequencing data mapped to a reference genome. The package contains three command-line tools to generate publication-quality figures in an uncomplicated manner using sensible defaults. Genome-wide data can be aggregated, clustered and visualized in a heatmap, according to different clustering methods. This includes a predefined setting to identify dynamic clusters between different conditions or developmental stages. Alternatively, clustered data can be visualized in a bandplot. Finally, fluff includes a tool to generate genomic profiles. As command-line tools, the fluff programs can easily be integrated into standard analysis pipelines. The installation is straightforward and documentation is available at http://fluff.readthedocs.org. Availability. fluff is implemented in Python and runs on Linux. The source code is freely available for download at https://github.com/simonvh/fluff. PMID:27547532

  13. An exploratory analysis of emotion dynamics between mothers and adolescents during conflict discussions.

    PubMed

    Main, Alexandra; Paxton, Alexandra; Dale, Rick

    2016-09-01

    Dynamic patterns of influence between parents and children have long been considered key to understanding family relationships. Despite this, most observational research on emotion in parent-child interactions examines global behaviors at the expense of exploring moment-to-moment fluctuations in emotions that are important for relational outcomes. Using recurrence quantification analysis (RQA) and growth curve analysis, this investigation explored emotion dynamics during parent-adolescent conflict interactions, focusing not only on concurrently shared emotional states but also on time-lagged synchrony of parents' and adolescents' emotions relative to one another. Mother-adolescent dyads engaged in a 10-min conflict discussion and reported on their satisfaction with the process and outcome of the discussion. Emotions were coded using the Specific Affect Coding System (SPAFF) and were collapsed into the following categories: negativity, positivity, and validation/interest. RQA and growth curve analyses revealed that negative and positive emotions were characterized by a concurrently synchronous pattern across all dyads, with the highest recurrence rates occurring around simultaneity. However, lower levels of concurrent synchrony of negative emotions were associated with higher discussion satisfaction. We also found that patterns of negativity differed with age: Mothers led negativity in dyads with younger adolescents, and adolescents led negativity in dyads with older adolescents. In contrast to negative and positive emotions, validation/interest showed the time-lagged pattern characteristic of turn-taking, and more highly satisfied dyads showed stronger patterns of time-lagged coordination in validation/interest. Our findings underscore the dynamic nature of emotions in parent-adolescent interactions and highlight the important contributions of these moment-to-moment dynamics toward overall interaction quality. (PsycINFO Database Record PMID:27148849

  14. Functional exploratory data analysis for high-resolution measurements of urban particulate matter.

    PubMed

    Ranalli, M Giovanna; Rocco, Giorgia; Jona Lasinio, Giovanna; Moroni, Beatrice; Castellini, Silvia; Crocchianti, Stefano; Cappelletti, David

    2016-09-01

    In this work we propose the use of functional data analysis (FDA) to deal with a very large dataset of atmospheric aerosol size distribution resolved in both space and time. Data come from a mobile measurement platform in the town of Perugia (Central Italy). An OPC (Optical Particle Counter) is integrated on a cabin of the Minimetrò, an urban transportation system, that moves along a monorail on a line transect of the town. The OPC takes a sample of air every six seconds and counts the number of particles of urban aerosols with a diameter between 0.28 μm and 10 μm and classifies such particles into 21 size bins according to their diameter. Here, we adopt a 2D functional data representation for each of the 21 spatiotemporal series. In fact, space is unidimensional since it is measured as the distance on the monorail from the base station of the Minimetrò. FDA allows for a reduction of the dimensionality of each dataset and accounts for the high space-time resolution of the data. Functional cluster analysis is then performed to search for similarities among the 21 size channels in terms of their spatiotemporal pattern. Results provide a good classification of the 21 size bins into a relatively small number of groups (between three and four) according to the season of the year. Groups including coarser particles have more similar patterns, while those including finer particles show a more different behavior according to the period of the year. Such features are consistent with the physics of atmospheric aerosol and the highlighted patterns provide a very useful ground for prospective model-based studies. PMID:27072888

  15. Functional exploratory data analysis for high-resolution measurements of urban particulate matter.

    PubMed

    Ranalli, M Giovanna; Rocco, Giorgia; Jona Lasinio, Giovanna; Moroni, Beatrice; Castellini, Silvia; Crocchianti, Stefano; Cappelletti, David

    2016-09-01

    In this work we propose the use of functional data analysis (FDA) to deal with a very large dataset of atmospheric aerosol size distribution resolved in both space and time. Data come from a mobile measurement platform in the town of Perugia (Central Italy). An OPC (Optical Particle Counter) is integrated on a cabin of the Minimetrò, an urban transportation system, that moves along a monorail on a line transect of the town. The OPC takes a sample of air every six seconds and counts the number of particles of urban aerosols with a diameter between 0.28 μm and 10 μm and classifies such particles into 21 size bins according to their diameter. Here, we adopt a 2D functional data representation for each of the 21 spatiotemporal series. In fact, space is unidimensional since it is measured as the distance on the monorail from the base station of the Minimetrò. FDA allows for a reduction of the dimensionality of each dataset and accounts for the high space-time resolution of the data. Functional cluster analysis is then performed to search for similarities among the 21 size channels in terms of their spatiotemporal pattern. Results provide a good classification of the 21 size bins into a relatively small number of groups (between three and four) according to the season of the year. Groups including coarser particles have more similar patterns, while those including finer particles show a more different behavior according to the period of the year. Such features are consistent with the physics of atmospheric aerosol and the highlighted patterns provide a very useful ground for prospective model-based studies.

  16. Activity anorexia: An interplay between basic and applied behavior analysis

    PubMed Central

    Pierce, W. David; Epling, W. Frank; Dews, Peter B.; Estes, William K.; Morse, William H.; Van Orman, Willard; Herrnstein, Richard J.

    1994-01-01

    The relationship between basic research with nonhumans and applied behavior analysis is illustrated by our work on activity anorexia. When rats are fed one meal a day and allowed to run on an activity wheel, they run excessively, stop eating, and die of starvation. Convergent evidence, from several different research areas, indicates that the behavior of these animals and humans who self-starve is functionally similar. A biobehavioral theory of activity anorexia is presented that details the cultural contingencies, behavioral processes, and physiology of anorexia. Diagnostic criteria and a three-stage treatment program for activity-based anorexia are outlined. The animal model permits basic research on anorexia that for practical and ethical reasons cannot be conducted with humans. Thus, basic research can have applied importance. PMID:22478169

  17. The "Inclusion" of Elite Athletes with Disabilities in the 2002 Manchester Commonwealth Games: An Exploratory Analysis of British Newspaper Coverage

    ERIC Educational Resources Information Center

    Smith, Andrew; Thomas, Nigel

    2005-01-01

    The XVII 2002 Commonwealth Games held in Manchester, England, was the first major international multi-sport event to include elite athletes with disabilities (EADs) in its main sports programme and medal table. In this exploratory article we seek to examine some of the complex issues surrounding the inclusion of EADs in the Manchester Games by…

  18. Assessing the Social Context in Initial Conjoint Behavioral Consultation Interviews: An Exploratory Analysis Investigating Processes and Outcomes.

    ERIC Educational Resources Information Center

    Sheridan, Susan M.; Meegan, Sean P.; Eagle, John W.

    2002-01-01

    In this exploratory study, the communicative process in conjoint behavioral consultation was investigated with a coding system designed to measure two dimensions of communication (i.e., influence and involvement). Results indicated that CBC meetings were characterized by a high degree of affiliation among participants; however, few significant…

  19. Analysis of E-Mail Produced by Middle School Students with Disabilities Using Accessible Interfaces: An Exploratory Study

    ERIC Educational Resources Information Center

    Sohlberg, McKay Moore; Todis, Bonnie; Fickas, Stephen; Ehlhardt, Laurie

    2011-01-01

    The goal of this exploratory study was to investigate electronic communication as a potential method to enhance social communication in a range of students with disabilities. This study investigated the usability of an adapted e-mail interface, TeenMail, for 11 middle school students with significant learning and communication impairments who…

  20. The Association between Foster Care and Substance Abuse Risk Factors and Treatment Outcomes: An Exploratory Secondary Analysis

    ERIC Educational Resources Information Center

    Blome, Wendy Whiting; Shields, Joseph; Verdieck, Mary Jeanne

    2009-01-01

    The child welfare and substance abuse systems are integrally linked through the children and families they both serve. There is a dearth of knowledge, however, on how children who have experienced foster care fare when they are treated for substance abuse issues as adults. This article presents an exploratory study using the Alcohol and Drug…

  1. Exploratory of society

    NASA Astrophysics Data System (ADS)

    Cederman, L.-E.; Conte, R.; Helbing, D.; Nowak, A.; Schweitzer, F.; Vespignani, A.

    2012-11-01

    A huge flow of quantitative social, demographic and behavioral data is becoming available that traces the activities and interactions of individuals, social patterns, transportation infrastructures and travel fluxes. This has caused, together with innovative computational techniques and methods for modeling social actions in hybrid (natural and artificial) societies, a qualitative change in the ways we model socio-technical systems. For the first time, society can be studied in a comprehensive fashion that addresses social and behavioral complexity. In other words we are in the position to envision the development of large data and computational cyber infrastructure defining an exploratory of society that provides quantitative anticipatory, explanatory and scenario analysis capabilities ranging from emerging infectious disease to conflict and crime surges. The goal of the exploratory of society is to provide the basic infrastructure embedding the framework of tools and knowledge needed for the design of forecast/anticipatory/crisis management approaches to socio technical systems, supporting future decision making procedures by accelerating the scientific cycle that goes from data generation to predictions.

  2. Neuropsychological Benefits of Stationary Bike Exercise and a Cybercycle Exergame for Older Adults with Diabetes: An Exploratory Analysis

    PubMed Central

    Anderson-Hanley, Cay; Arciero, Paul J.; Westen, Sarah C.; Nimon, Joseph; Zimmerman, Earl

    2012-01-01

    Objective This quasi-experimental exploratory study investigated neuropsychological effects of exercise among older adults with diabetes mellitus (DM) compared with adults without diabetes (non-DM), and it examined the feasibility of using a stationary bike exergame as a form of exercise for older adults with and without diabetes. It is a secondary analysis that uses a small dataset from a larger randomized clinical trial (RCT) called the Cybercycle Study, which compared cognitive and physiological effects of traditional stationary cycling versus cybercycling. Methods In the RCT and the secondary analysis, older adults living in eight independent living retirement facilities in the state of New York were enrolled in the study and assigned to exercise five times per week for 45 min per session (two times per week was considered acceptable for retention in the study) by using a stationary bicycle over the course of 3 months. They were randomly assigned to use either a standard stationary bicycle or a “cybercycle” with a video screen that displayed virtual terrains, virtual tours, and racing games with virtual competitors. For this secondary analysis, participants in the RCT who had type 2 DM (n = 10) were compared with age-matched non-DM exercisers (n = 10). The relationship between exercise and executive function (i.e., Color Trials 2, Digit Span Backwards, and Stroop C tests) was examined for DM and non-DM patients. Results Older adults with and without diabetes were able to use cybercycles successfully and complete the study, so the feasibility of this form of exercise for this population was supported. However, in contrast with the larger RCT, this small subset did not demonstrate statistically significant differences in executive function between the participants who used cybercycles and those who used stationary bikes with no games or virtual content on a video screen. Therefore, the study combined the two groups and called them “exercisers” and

  3. Predictors of Adverse Cosmetic Outcome in the RAPID Trial: An Exploratory Analysis

    SciTech Connect

    Peterson, David; Truong, Pauline T.; Parpia, Sameer; Olivotto, Ivo A.; Berrang, Tanya; Kim, Do-Hoon; Kong, Iwa; Germain, Isabelle; Nichol, Alan; Akra, Mohamed; Roy, Isabelle; Reed, Melanie; Fyles, Anthony; Trotter, Theresa; Perera, Francisco; Balkwill, Susan; Lavertu, Sophie; Elliott, Elizabeth; and others

    2015-04-01

    Purpose: To evaluate factors associated with adverse cosmesis outcome in breast cancer patients randomized to accelerated partial breast irradiation (APBI) using 3-dimensional conformal radiation therapy or whole-breast irradiation in the RAPID (Randomized Trial of Accelerated Partial Breast Irradiation) trial. Methods and Materials: Subjects were trial participants with nurse-assessed global cosmetic scores at baseline and at 3 years. Adverse cosmesis was defined as a score of fair or poor. Cosmetic deterioration was defined as any adverse change in score from baseline to 3 years. The analysis is based on data from the previously reported interim analysis. Logistic regression models were used to assess the association of risk factors for these outcomes among all patients and those treated with APBI only. Results: Clinicopathologic characteristics were similar between subjects randomized to APBI (n=569) or whole-breast irradiation (n=539). For all subjects, factors associated with adverse cosmesis at 3 years were older age, central/inner tumor location, breast infection, smoking, seroma volume, breast volume, and use of APBI; factors associated with cosmetic deterioration were smoking, seroma volume, and use of APBI (P<.05). For APBI subjects, tumor location, smoking, age, and seroma volume were associated with adverse cosmesis (P<.05), and smoking was associated with cosmetic deterioration (P=.02). An independent association between the V95/whole-breast volume ratio and adverse cosmesis (P=.28) or cosmetic deterioration (P=.07) was not detected. On further exploration a V95/whole-breast volume ratio <0.15 was associated with a lower risk of cosmetic deterioration (p=.04), but this accounted for only 11% of patients. Conclusion: In the RAPID trial, a number of patient tumor and treatment-related factors, including the use of APBI, were associated with adverse cosmesis and cosmetic deterioration. For patients treated with APBI alone, the high-dose treatment

  4. Nutrient-based dietary patterns and nasopharyngeal cancer: evidence from an exploratory factor analysis

    PubMed Central

    Edefonti, V; Nicolussi, F; Polesel, J; Bravi, F; Bosetti, C; Garavello, W; La Vecchia, C; Bidoli, E; Decarli, A; Serraino, D; Calza, S; Ferraroni, M

    2015-01-01

    Background: To our knowledge, no study assessed the association between dietary patterns and nasopharyngeal carcinoma (NPC) in low-incidence areas. Methods: We examined this association in a hospital-based case–control study carried out in Italy between 1992 and 2008, including 198 incident NPC cases and 594 controls. A posteriori dietary patterns were identified through principal component factor analysis performed on 28 nutrients and minerals derived from a 78-item food-frequency questionnaire. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using unconditional multiple logistic regression models on tertiles of factor scores. Results: We identified five dietary patterns named Animal products, Starch-rich, Vitamins and fibre, Animal unsaturated fatty acids (AUFAs), and Vegetable unsaturated fatty acids (VUFAs). The Animal product (OR=2.62, 95% CI=1.67–4.13, for the highest vs lowest score tertile), Starch-rich (OR=2.05, 95% CI=1.27–3.33), and VUFA (OR=1.90, 95% CI=1.22–2.96) patterns were positively associated with NPC. The AUFA pattern showed a positive association of borderline significance, whereas the Vitamins and fibre pattern was nonsignificantly but inversely associated with NPC. Conclusions: These findings suggest that diets rich in animal products, starch, and fats are positively related to NPC risk in this low-incidence country. PMID:25490523

  5. HEALTH INSURANCE INFORMATION-SEEKING BEHAVIORS AMONG INTERNET USERS: AN EXPLORATORY ANALYSIS TO INFORM POLICIES.

    PubMed

    Erlyana, Erlyana; Acosta-Deprez, Veronica; O'Lawrence, Henry; Sinay, Tony; Ramirez, Jeremy; Jacot, Emmanuel C; Shim, Kyuyoung

    2015-01-01

    The purpose of this study was to explore characteristics of Internet users who seek health insurance information online, as well as factors affecting their behaviors in seeking health insurance information. Secondary data analysis was conducted using data from the 2012 Pew Internet Health Tracking Survey. Of 2,305 Internet user adults, only 29% were seeking health insurance information online. Bivariate analyses were conducted to test differences in characteristics of those who seek health insurance information online and those who do not. A logistic regression model was used to determine significant predictors of health insurance information-seeking behavior online. Findings suggested that factors such as being a single parent, having a high school education or less, and being uninsured were significant and those individuals were less likely to seek health insurance information online. Being a family caregiver of an adult and those who bought private health insurance or were entitled to Medicare were more likely to seek health insurance information online than non-caregivers and the uninsured. The findings suggested the need to provide quality health insurance information online is critical for both the insured and uninsured population.

  6. Are country reputations for good and bad leadership on AIDS deserved? An exploratory quantitative analysis.

    PubMed

    Nattrass, Nicoli

    2008-12-01

    Some countries (e.g. Brazil) have good reputations on AIDS policy, whereas others, (notably South Africa) have been criticized for inadequate leadership. Cross-country regression analysis reveals that these 'poster children' for AIDS leadership have indeed performed better or worse than expected given their economic and institutional constraints and the demographic and health challenges facing them. Regressions were run on HAART coverage (number on highly active antiretroviral therapy as percentage of total need) and MTCTP coverage (pregnant HIV+ women accessing mother-to-child-transmission prevention services as percentage of total need). Brazil, Cambodia, Thailand and Uganda (all of whom have established reputations for good leadership on AIDS performed consistently better than expected-as did Burkina-Faso, Suriname, Paraguay Costa Rica, Mali and Namibia. South Africa, which has the worst reputation for AIDS leadership, performed significantly below expectations-as did Uruguay and Trinidad and Tobago. The paper thus confirms much of the conventional wisdom on AIDS leadership at country level and suggests new areas for research.

  7. An exploratory analysis to determine priority areas for lead poisoning prevention education programs in Missouri.

    PubMed

    McManus, Kaitlyn; Cummings, Madeline; Visker, Joseph; Cox, Carol

    2015-03-01

    Lead is a strong poison and toxic to many vital organs and body systems especially in the central nervous system of children, who are more vulnerable to lead poisoning than adults. The purpose of the study described in this article was to examine the relationship between elevated blood lead level (BLL) cases of children in the state of Missouri and pre-1980 home construction, lead mine proximity, and median household income and to determine counties and areas for statewide prevention education. Results of the regression analysis indicated that these combined variables were significant predictors (F[3,111] = 19.106, p < .05, R2 = .341), accounting for 34.1% of the explained variance in the number elevated BLL cases. Number of houses built prior to 1980 (β = .606, p < .05) and median household income (β = -0.186, p < .05) were specifically revealed to be significant predictors of elevated blood lead cases. In addition to screening in identified counties, Missouri's statewide plan should expand to include prevention education in all low-income counties.

  8. Autologous haematopoietic stem cell transplantation for secondary progressive multiple sclerosis: an exploratory cost-effectiveness analysis.

    PubMed

    Tappenden, P; Saccardi, R; Confavreux, C; Sharrack, B; Muraro, P A; Mancardi, G L; Kozak, T; Farge-Bancel, D; Madan, J; Rafia, R; Akehurst, R; Snowden, J

    2010-06-01

    Treatment options for secondary progressive multiple sclerosis (SPMS) are limited. Mitoxantrone is routinely used to stabilize disease progression; however, evolving evidence suggests clinical benefit from intensive treatment with autologous haematopoietic stem cell transplantation (HSCT). Given differences in cost and outcomes, preliminary cost-effectiveness studies are warranted if this approach is to be developed for more widespread application in SPMS. We developed a decision-analytic Markov model to explore the potential cost-effectiveness of autologous HSCT versus mitoxantrone in SPMS, using patient-level data from registry sources. The model evaluates the lifetime costs and health outcomes associated with disability progression and relapse. Sensitivity analyses were undertaken to examine the uncertainty surrounding cost-effectiveness outcomes. In the absence of randomised controlled trial (RCT) evidence, conditions for comparative analysis were not ideal. Under optimistic assumptions, HSCT is estimated to cost below pound3000 per quality adjusted life year gained. However, when a strict 6-month sustained progression rule is adopted, HSCT may be less effective and more expensive than mitoxantrone. The model results were sensitive to reducing procedural costs and HSCT-related mortality. We conclude that HSCT could potentially achieve an acceptable level of cost-effectiveness. However, caution should be exercised as large, high-quality RCTs comparing HSCT versus mitoxantrone are necessary to validate these findings.

  9. Fear of cultural extinction and psychopathology among Mandaean refugees: an exploratory path analysis.

    PubMed

    Nickerson, Angela; Bryant, Richard A; Brooks, Robert; Steel, Zachary; Silove, Derrick

    2009-01-01

    The Mandaeans are a small religious community originating from Iraq and Iran who are facing the possibility of cultural extinction within the next few generations. This study aimed to examine the relationships between life experiences, psychopathology and fear of cultural extinction in Mandaean refugees. A survey was conducted of 315 adult Iraqi Mandaean refugees living in Australia. Past traumatic experiences and current resettlement difficulties were assessed. Mental health outcomes were also examined, including measures of posttraumatic stress disorder (PTSD) and depression. Fear of cultural extinction was measured by items developed in consultation with the Mandaean community. A path analysis was employed to investigate the relationship between trauma, living difficulties, PTSD, depression, and fear of cultural extinction. Results indicated that trauma and living difficulties impacted indirectly on fear of cultural extinction, while PTSD (and not depression) directly predicted levels of anxiety about the Mandaean culture ceasing to exist. The current findings indicate that past trauma and symptoms of posttraumatic stress contribute to fear of cultural extinction. Exposure to human rights violations enacted on the basis of religion has significant mental health consequences that extend beyond PTSD. The relationship between perception of threat, PTSD, and fear of cultural extinction is considered in the context of cognitive models of traumatic stress. Government immigration policy must prioritize the reunification of small, endangered groups to sustain cultural traditions. Treatment interventions implemented with cultural groups facing extinction should take into consideration anxiety about loss of culture.

  10. Bisexual Latino Men and HIV and Sexually Transmitted Infections Risk: An Exploratory Analysis

    PubMed Central

    Muñoz-Laboy, Miguel; Dodge, Brian

    2007-01-01

    Objectives. We sought to determine whether there were differences in sexual risk among behaviorally and self-identified bisexual men, men who reported having sex with both men and women without reporting a bisexual identity and men who self-identified as bisexual but reported only recent homosexual behavior over the past 6 months. Methods.secondary data analysis, we conducted stepwise linear regression equation modeling to determine which factors were significant predictors of sexual risk among various subgroups of bisexual Latino men. Results. Having sex with women, regardless of sexual identity, increased the likelihood of insertive unprotected anal intercourse with men. Bisexual identity was not statistically associated with unprotected anal intercourse with men. Conclusions. Future studies should begin to examine differences within groups rather than focusing on group comparisons that yield limited insights into sexual risk predictors for homosexually and bisexually active men. Further research that explores risk and protective factors in the sexual lives of Latino bisexual men is also needed. PMID:17463376

  11. UCSF Chimera--a visualization system for exploratory research and analysis.

    PubMed

    Pettersen, Eric F; Goddard, Thomas D; Huang, Conrad C; Couch, Gregory S; Greenblatt, Daniel M; Meng, Elaine C; Ferrin, Thomas E

    2004-10-01

    The design, implementation, and capabilities of an extensible visualization system, UCSF Chimera, are discussed. Chimera is segmented into a core that provides basic services and visualization, and extensions that provide most higher level functionality. This architecture ensures that the extension mechanism satisfies the demands of outside developers who wish to incorporate new features. Two unusual extensions are presented: Multiscale, which adds the ability to visualize large-scale molecular assemblies such as viral coats, and Collaboratory, which allows researchers to share a Chimera session interactively despite being at separate locales. Other extensions include Multalign Viewer, for showing multiple sequence alignments and associated structures; ViewDock, for screening docked ligand orientations; Movie, for replaying molecular dynamics trajectories; and Volume Viewer, for display and analysis of volumetric data. A discussion of the usage of Chimera in real-world situations is given, along with anticipated future directions. Chimera includes full user documentation, is free to academic and nonprofit users, and is available for Microsoft Windows, Linux, Apple Mac OS X, SGI IRIX, and HP Tru64 Unix from http://www.cgl.ucsf.edu/chimera/.

  12. Iteration of Partially-Specified Target Matrices: Applications in Exploratory and Bayesian Confirmatory Factor Analysis

    PubMed Central

    Moore, Tyler M.; Reise, Steven P.; Depaoli, Sarah; Haviland, Mark G.

    2015-01-01

    We describe and evaluate a factor rotation algorithm, iterated target rotation (ITR). Whereas target rotation (Browne, 2001) requires a user to specify a target matrix a priori based on theory or prior research, ITR begins with a standard analytic factor rotation (i.e., an empirically-informed target) followed by an iterative search procedure to update the target matrix. Monte Carlo simulations were conducted to evaluate the performance of ITR relative to analytic rotations from the Crawford-Ferguson family with population factor structures varying in complexity. Simulation results: (a) suggested that ITR analyses will be particularly useful when evaluating data with complex structures (i.e., multiple cross-loadings) and (b) showed that the rotation method used to define an initial target matrix did not materially affect the accuracy of the various ITRs. In Study 2, we: (a) demonstrated the application of ITR as a way to determine empirically-informed priors in a Bayesian confirmatory factor analysis (BCFA; Muthén & Asparouhov, 2012) of a rater-report alexithymia measure (Haviland, Warren, & Riggs, 2000) and (b) highlighted some of the challenges when specifying empirically-based priors and assessing item and overall model fit. PMID:26609875

  13. DNA Damage and Repair Biomarkers in Cervical Cancer Patients Treated with Neoadjuvant Chemotherapy: An Exploratory Analysis.

    PubMed

    Vici, Patrizia; Buglioni, Simonetta; Sergi, Domenico; Pizzuti, Laura; Di Lauro, Luigi; Antoniani, Barbara; Sperati, Francesca; Terrenato, Irene; Carosi, Mariantonia; Gamucci, Teresa; Dattilo, Rosanna; Bartucci, Monica; Vincenzoni, Cristina; Mariani, Luciano; Vizza, Enrico; Sanguineti, Giuseppe; Gadducci, Angiolo; Vitale, Ilio; Barba, Maddalena; De Maria, Ruggero; Mottolese, Marcella; Maugeri-Saccà, Marcello

    2016-01-01

    Cervical cancer cells commonly harbour a defective G1/S checkpoint owing to the interaction of viral oncoproteins with p53 and retinoblastoma protein. The activation of the G2/M checkpoint may thus become essential for protecting cancer cells from genotoxic insults, such as chemotherapy. In 52 cervical cancer patients treated with neoadjuvant chemotherapy, we investigated whether the levels of phosphorylated Wee1 (pWee1), a key G2/M checkpoint kinase, and γ-H2AX, a marker of DNA double-strand breaks, discriminated between patients with a pathological complete response (pCR) and those with residual disease. We also tested the association between pWee1 and phosphorylated Chk1 (pChk1), a kinase acting upstream Wee1 in the G2/M checkpoint pathway. pWee1, γ-H2AX and pChk1 were retrospectively assessed in diagnostic biopsies by immunohistochemistry. The degrees of pWee1 and pChk1 expression were defined using three different classification methods, i.e., staining intensity, Allred score, and a multiplicative score. γ-H2AX was analyzed both as continuous and categorical variable. Irrespective of the classification used, elevated levels of pWee1 and γ-H2AX were significantly associated with a lower rate of pCR. In univariate and multivariate analyses, pWee1 and γ-H2AX were both associated with reduced pCR. Internal validation conducted through a re-sampling without replacement procedure confirmed the robustness of the multivariate model. Finally, we found a significant association between pWee1 and pChk1. The message conveyed by the present analysis is that biomarkers of DNA damage and repair may predict the efficacy of neoadjuvant chemotherapy in cervical cancer. Further studies are warranted to prospectively validate these encouraging findings. PMID:26930412

  14. Overweight and obesity in India: policy issues from an exploratory multi-level analysis.

    PubMed

    Siddiqui, Md Zakaria; Donato, Ronald

    2016-06-01

    This article analyses a nationally representative household dataset-the National Family Health Survey (NFHS-3) conducted in 2005 to 2006-to examine factors influencing the prevalence of overweight/obesity in India. The dataset was disaggregated into four sub-population groups-urban and rural females and males-and multi-level logit regression models were used to estimate the impact of particular covariates on the likelihood of overweight/obesity. The multi-level modelling approach aimed to identify individual and macro-level contextual factors influencing this health outcome. In contrast to most studies on low-income developing countries, the findings reveal that education for females beyond a particular level of educational attainment exhibits a negative relationship with the likelihood of overweight/obesity. This relationship was not observed for males. Muslim females and all Sikh sub-populations have a higher likelihood of overweight/obesity suggesting the importance of socio-cultural influences. The results also show that the relationship between wealth and the probability of overweight/obesity is stronger for males than females highlighting the differential impact of increasing socio-economic status on gender. Multi-level analysis reveals that states exerted an independent influence on the likelihood of overweight/obesity beyond individual-level covariates, reflecting the importance of spatially related contextual factors on overweight/obesity. While this study does not disentangle macro-level 'obesogenic' environmental factors from socio-cultural network influences, the results highlight the need to refrain from adopting a 'one size fits all' policy approach in addressing the overweight/obesity epidemic facing India. Instead, policy implementation requires a more nuanced and targeted approach to incorporate the growing recognition of socio-cultural and spatial contextual factors impacting on healthy behaviours.

  15. DNA Damage and Repair Biomarkers in Cervical Cancer Patients Treated with Neoadjuvant Chemotherapy: An Exploratory Analysis

    PubMed Central

    Sergi, Domenico; Pizzuti, Laura; Di Lauro, Luigi; Antoniani, Barbara; Sperati, Francesca; Terrenato, Irene; Carosi, Mariantonia; Gamucci, Teresa; Dattilo, Rosanna; Bartucci, Monica; Vincenzoni, Cristina; Mariani, Luciano; Vizza, Enrico; Sanguineti, Giuseppe; Gadducci, Angiolo; Vitale, Ilio; Barba, Maddalena; De Maria, Ruggero; Mottolese, Marcella; Maugeri-Saccà, Marcello

    2016-01-01

    Cervical cancer cells commonly harbour a defective G1/S checkpoint owing to the interaction of viral oncoproteins with p53 and retinoblastoma protein. The activation of the G2/M checkpoint may thus become essential for protecting cancer cells from genotoxic insults, such as chemotherapy. In 52 cervical cancer patients treated with neoadjuvant chemotherapy, we investigated whether the levels of phosphorylated Wee1 (pWee1), a key G2/M checkpoint kinase, and γ-H2AX, a marker of DNA double-strand breaks, discriminated between patients with a pathological complete response (pCR) and those with residual disease. We also tested the association between pWee1 and phosphorylated Chk1 (pChk1), a kinase acting upstream Wee1 in the G2/M checkpoint pathway. pWee1, γ-H2AX and pChk1 were retrospectively assessed in diagnostic biopsies by immunohistochemistry. The degrees of pWee1 and pChk1 expression were defined using three different classification methods, i.e., staining intensity, Allred score, and a multiplicative score. γ-H2AX was analyzed both as continuous and categorical variable. Irrespective of the classification used, elevated levels of pWee1 and γ-H2AX were significantly associated with a lower rate of pCR. In univariate and multivariate analyses, pWee1 and γ-H2AX were both associated with reduced pCR. Internal validation conducted through a re-sampling without replacement procedure confirmed the robustness of the multivariate model. Finally, we found a significant association between pWee1 and pChk1. The message conveyed by the present analysis is that biomarkers of DNA damage and repair may predict the efficacy of neoadjuvant chemotherapy in cervical cancer. Further studies are warranted to prospectively validate these encouraging findings. PMID:26930412

  16. Childhood cancer incidence rates and hazardous air pollutants in California: an exploratory analysis.

    PubMed Central

    Reynolds, Peggy; Von Behren, Julie; Gunier, Robert B; Goldberg, Debbie E; Hertz, Andrew; Smith, Daniel F

    2003-01-01

    Hazardous air pollutants (HAPs) are compounds shown to cause cancer or other adverse health effects. We analyzed population-based childhood cancer incidence rates in California (USA) from 1988 to 1994, by HAP exposure scores, for all California census tracts. For each census tract, we calculated exposure scores by combining cancer potency factors with outdoor HAP concentrations modeled by the U.S. Environmental Protection Agency. We evaluated the relationship between childhood cancer rates and exposure scores for 25 potentially carcinogenic HAPs emitted from mobile, area, and point sources and from all sources combined. Our study period saw 7,143 newly diagnosed cancer cases in California; of these, 6,989 (97.8%) could be assigned to census tracts and included in our analysis. Using Poisson regression, we estimated rate ratios (RRs) adjusted for age, race/ethnicity, and sex. We found little evidence for elevated cancer RRs for all sites or for gliomas among children living in high-ranking combined-source exposure areas. We found elevated RRs and a significant trend with increasing exposure level for childhood leukemia in tracts ranked highest for exposure to the combined group of 25 HAPs (RR = 1.21; 95% confidence interval, 1.03, 1.42) and in tracts ranked highest for point-source HAP exposure (RR = 1.32; 95% confidence interval, 1.11, 1.57). Our findings suggest an association between increased childhood leukemia rates and high HAP exposure, but studies involving more comprehensive exposure assessment and individual-level exposure data will be important for elucidating this relationship. PMID:12676632

  17. An 'Importance' Map of Signs and Symptoms to Classify Diabetic Polyneuropathy: An Exploratory Data Analysis

    PubMed Central

    Sacco, Isabel C. N.; Suda, Eneida Yuri; Vigneron, Vincent; Sartor, Cristina Dallemole

    2015-01-01

    Aims/Hypothesis Early diagnosis of diabetic polyneuropathy (DPN) is critical for a good prognosis. We aimed to identify different groups of patients, based on the various common clinical signs and symptoms of DPN, that represent a progressive worsening of the disease before the onset of plantar ulceration or amputation. We also sought to identify the most important DPN-related variables that can discriminate between groups, thus representing the most informative variables for early detection. Methods In 193 diabetic patients, we assessed 16 DPN-related signs, symptoms, and foot characteristics, based on the literature and the International Consensus on the Diabetic Foot. We used multiple correspondence analysis and the Kohonen algorithm to group the variables into micro and macro-classes and to identify clusters of patients that represent different DPN conditions. Results Four distinct groups were observed. One group showed no indication of DPN. The remaining groups were characterized by a progressive loss of the vibration perception, without a worsening of symptoms or tactile perception. The 2 intermediate groups presented different aspects of DPN: one showed mostly DPN symptoms and the other showed the incipient vibration impairment, callus and crack formation, and foot arch alteration. The fourth group showed more severe foot and DPN conditions, including ulceration and amputation, absence of vibration and tactile perception (irrespective of how many compromised foot areas), and worse foot deformities and callus and crack formation. Conclusion Vibration perception was more informative than tactile sensitivity in discriminating early DPN onset because its impairment was evident in more groups. Symptoms and callus and cracks did not discriminate the severity status and should be interpreted in association with other clinical variables. Reconsideration of the current screening techniques is needed to clinically determine the early onset of neuropathy using tactile

  18. Menu label accuracy at a university's foodservices. An exploratory recipe nutrition analysis.

    PubMed

    Feldman, Charles; Murray, Douglas; Chavarria, Stephanie; Zhao, Hang

    2015-09-01

    The increase in the weight of American adults and children has been positively associated with the prevalence of the consumption of food-away-from-home. The objective was to assess the accuracy of claimed nutritional information of foods purchased in contracted foodservices located on the campus of an institution of higher education. Fifty popular food items were randomly collected from five main dining outlets located on a selected campus in the northeastern United States. The sampling was repeated three times on separate occasions for an aggregate total of 150 food samples. The samples were then weighed and assessed for nutrient composition (protein, cholesterol, fiber, carbohydrates, total fat, calories, sugar, and sodium) using nutrient analysis software. Results were compared with foodservices' published nutrition information. Two group comparisons, claimed and measured, were performed using the paired-sample t-test. Descriptive statistics were used as well. Among the nine nutritional values, six nutrients (total fat, sodium, protein, fiber, cholesterol, and weight) had more than 10% positive average discrepancies between measured and claimed values. Statistical significance of the variance was obtained in four of the eight categories of nutrient content: total fat, sodium, protein, and cholesterol (P < .05). Significance was also reached in the variance of actual portion weight compared to the published claims (P < .001). Significant differences of portion size (weight), total fat, sodium, protein, and cholesterol were found among the sampled values and the foodservices' published claims. The findings from this study raise the concern that if the actual nutritional information does not accurately reflect the declared values on menus, conclusions, decisions and actions based on posted information may not be valid.

  19. Pilot Designed Aircraft Displays in General Aviation: An Exploratory Study and Analysis

    NASA Astrophysics Data System (ADS)

    Conaway, Cody R.

    From 2001-2011, the General Aviation (GA) fatal accident rate remained unchanged (Duquette & Dorr, 2014) with an overall stagnant accident rate between 2004 and 2013. The leading cause, loss of control in flight (NTSB, 2015b & 2015c) due to pilot inability to recognize approach to stall/spin conditions (NTSB, 2015b & 2016b). In 2013, there were 1,224 GA accidents in the U.S., accounting for 94% of all U.S. aviation accidents and 90% of all U.S. aviation fatalities that year (NTSB, 2015c). Aviation entails multiple challenges for pilots related to task management, procedural errors, perceptual distortions, and cognitive discrepancies. While machine errors in airplanes have continued to decrease over the years, human error still has not (NTSB, 2013). A preliminary analysis of a PC-based, Garmin G1000 flight deck was conducted with 3 professional pilots. Analyses revealed increased task load, opportunities for distraction, confusing perceptual ques, and hindered cognitive performance. Complex usage problems were deeply ingrained in the functionality of the system, forcing pilots to use fallible work arounds, add unnecessary steps, and memorize knob turns or button pushes. Modern computing now has the potential to free GA cockpit designs from knobs, soft keys, or limited display options. Dynamic digital displays might include changes in instrumentation or menu structuring depending on the phase of flight. Airspeed indicators could increase in size to become more salient during landing, simultaneously highlighting pitch angle on Attitude Indicators and automatically decluttering unnecessary information for landing. Likewise, Angle-of-Attack indicators demonstrate a great safety and performance advantage for pilots (Duquette & Dorr, 2014; NTSB, 2015b & 2016b), an instrument typically found in military platforms and now the Icon A5, light-sport aircraft (Icon, 2016). How does the design of pilots' environment---the cockpit---further influence their efficiency and

  20. Methodological Synthesis in Quantitative L2 Research: A Review of Reviews and a Case Study of Exploratory Factor Analysis

    ERIC Educational Resources Information Center

    Plonsky, Luke; Gonulal, Talip

    2015-01-01

    Research synthesis and meta-analysis provide a pathway to bring together findings in a given domain with greater systematicity, objectivity, and transparency than traditional reviews. The same techniques and corresponding benefits can be and have been applied to examine methodological practices in second language (L2) research (e.g., Plonsky,…

  1. Compatibility of person-centered planning and applied behavior analysis

    PubMed Central

    Holburn, Steve

    2001-01-01

    In response to Osborne (1999), the aims and practices of person-centered planning (PCP) are compared to the basic principles of applied behavior analysis set forth by Baer, Wolf, and Risley (1968, 1987). The principal goal of PCP is social integration of people with disabilities; it qualifies as a socially important behavior, and its problems have been displayed sufficiently. However, social integration is a complex social problem whose solution requires access to system contingencies that influence lifestyles. Nearly all of the component goals of PCP proposed by O'Brien (1987b) have been reliably quantified, although concurrent measurement of outcomes such as friendship, autonomy, and respect presents a formidable challenge. Behavioral principles such as contingency and contextual control are operative within PCP, but problems in achieving reliable implementation appear to impede an experimental analysis. PMID:22478371

  2. Empirical modal decomposition applied to cardiac signals analysis

    NASA Astrophysics Data System (ADS)

    Beya, O.; Jalil, B.; Fauvet, E.; Laligant, O.

    2010-01-01

    In this article, we present the method of empirical modal decomposition (EMD) applied to the electrocardiograms and phonocardiograms signals analysis and denoising. The objective of this work is to detect automatically cardiac anomalies of a patient. As these anomalies are localized in time, therefore the localization of all the events should be preserved precisely. The methods based on the Fourier Transform (TFD) lose the localization property [13] and in the case of Wavelet Transform (WT) which makes possible to overcome the problem of localization, but the interpretation remains still difficult to characterize the signal precisely. In this work we propose to apply the EMD (Empirical Modal Decomposition) which have very significant properties on pseudo periodic signals. The second section describes the algorithm of EMD. In the third part we present the result obtained on Phonocardiograms (PCG) and on Electrocardiograms (ECG) test signals. The analysis and the interpretation of these signals are given in this same section. Finally, we introduce an adaptation of the EMD algorithm which seems to be very efficient for denoising.

  3. Exploratory data analysis as an alternative to automated variable selection in statistical susceptibility modeling. A case study for the Flysch Zone (Lower Austria)

    NASA Astrophysics Data System (ADS)

    Steger, Stefan; Bell, Rainer; Petschko, Helene; Glade, Thomas

    2013-04-01

    -based approach (Landslide Susceptibility Index, LSI) were applied on both inventories in separate calculations. Quantitative quality assessment results revealed similar levels of statistical quality for all models. However, differing geomorphological plausibility of obtained susceptibility maps indicate that high statistical quality alone does not guarantee high qualitative modeling results. Furthermore it was shown, that in this case the modeling method used has a lower impact on the quality of the results than the landslide inventories used. The results clearly emphasize the importance of an appropriate input data selection which can be assessed by exploratory data analyses. Therefore a comprehensive preparatory data analysis can be considered as a serious alternative to purely automated variable selection for statistical susceptibility models.

  4. Automated SEM Modal Analysis Applied to the Diogenites

    NASA Technical Reports Server (NTRS)

    Bowman, L. E.; Spilde, M. N.; Papike, James J.

    1996-01-01

    Analysis of volume proportions of minerals, or modal analysis, is routinely accomplished by point counting on an optical microscope, but the process, particularly on brecciated samples such as the diogenite meteorites, is tedious and prone to error by misidentification of very small fragments, which may make up a significant volume of the sample. Precise volume percentage data can be gathered on a scanning electron microscope (SEM) utilizing digital imaging and an energy dispersive spectrometer (EDS). This form of automated phase analysis reduces error, and at the same time provides more information than could be gathered using simple point counting alone, such as particle morphology statistics and chemical analyses. We have previously studied major, minor, and trace-element chemistry of orthopyroxene from a suite of diogenites. This abstract describes the method applied to determine the modes on this same suite of meteorites and the results of that research. The modal abundances thus determined add additional information on the petrogenesis of the diogenites. In addition, low-abundance phases such as spinels were located for further analysis by this method.

  5. [NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 2:] Technical communications in aeronautics: Results of an exploratory study. An analysis of managers' and nonmanagers' responses

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Glassman, Myron; Barclay, Rebecca O.; Oliu, Walter E.

    1989-01-01

    Data collected from an exploratory study concerned with the technical communications practices of aerospace engineers and scientists were analyzed to test the primary assumption that aerospace managers and nonmanagers have different technical communications practices. Five assumptions were established for the analysis. Aerospace managers and nonmanagers were found to have different technical communications practices for three of the five assumptions tested. Although aerospace managers and nonmanagers were found to have different technical communications practices, the evidence was neither conclusive nor compelling that the presumption of difference in practices could be attributed to the duties performed by aerospace managers and nonmanagers.

  6. [NASA/DOD Aerospace Knowledge Diffusion Research Project. Report 3:] Technical communications in aeronautics: Results of an exploratory study. An analysis of profit managers' and nonprofit managers' responses

    NASA Technical Reports Server (NTRS)

    Pinelli, Thomas E.; Glassman, Myron; Barclay, Rebecca O.; Oliu, Walter E.

    1989-01-01

    Data collected from an exploratory study concerned with the technical communications practices of aerospace engineers and scientists were analyzed to test the primary assumption that profit and nonprofit managers in the aerospace community have different technical communications practices. Five assumptions were established for the analysis. Profit and nonprofit managers in the aerospace community were found to have different technical communications practices for one of the five assumptions tested. It was, therefore, concluded that profit and nonprofit managers in the aerospace community do not have different technical communications practices.

  7. Applying cluster analysis to physics education research data

    NASA Astrophysics Data System (ADS)

    Springuel, R. Padraic

    One major thrust of Physics Education Research (PER) is the identification of student ideas about specific physics concepts, both correct ideas and those that differ from the expert consensus. Typically the research process of eliciting the spectrum of student ideas involves the administration of specially designed questions to students. One major analysis task in PER is the sorting of these student responses into thematically coherent groups. This process is one which has previously been done by eye in PER. This thesis explores the possibility of using cluster analysis to perform the task in a more rigorous and less time-intensive fashion while making fewer assumptions about what the students are doing. Since this technique has not previously been used in PER, a summary of the various kinds of cluster analysis is included as well as a discussion of which might be appropriate for the task of sorting student responses into groups. Two example data sets (one based on the Force and Motion Conceptual Evaluation (DICE) the other looking at acceleration in two-dimensions (A2D) are examined in depth to demonstrate how cluster analysis can be applied to PER data and the various considerations which must be taken into account when doing so. In both cases, the techniques described in this thesis found 5 groups which contained about 90% of the students in the data set. The results of this application are compared to previous research on the topics covered by the two examples to demonstrate that cluster analysis can effectively uncover the same patterns in student responses that have already been identified.

  8. Applied Behavior Analysis is a Science and, Therefore, Progressive.

    PubMed

    Leaf, Justin B; Leaf, Ronald; McEachin, John; Taubman, Mitchell; Ala'i-Rosales, Shahla; Ross, Robert K; Smith, Tristram; Weiss, Mary Jane

    2016-02-01

    Applied behavior analysis (ABA) is a science and, therefore, involves progressive approaches and outcomes. In this commentary we argue that the spirit and the method of science should be maintained in order to avoid reductionist procedures, stifled innovation, and rote, unresponsive protocols that become increasingly removed from meaningful progress for individuals diagnosed with autism spectrum disorder (ASD). We describe this approach as progressive. In a progressive approach to ABA, the therapist employs a structured yet flexible process, which is contingent upon and responsive to child progress. We will describe progressive ABA, contrast it to reductionist ABA, and provide rationales for both the substance and intent of ABA as a progressive scientific method for improving conditions of social relevance for individuals with ASD.

  9. Applied Behavior Analysis is a Science and, Therefore, Progressive.

    PubMed

    Leaf, Justin B; Leaf, Ronald; McEachin, John; Taubman, Mitchell; Ala'i-Rosales, Shahla; Ross, Robert K; Smith, Tristram; Weiss, Mary Jane

    2016-02-01

    Applied behavior analysis (ABA) is a science and, therefore, involves progressive approaches and outcomes. In this commentary we argue that the spirit and the method of science should be maintained in order to avoid reductionist procedures, stifled innovation, and rote, unresponsive protocols that become increasingly removed from meaningful progress for individuals diagnosed with autism spectrum disorder (ASD). We describe this approach as progressive. In a progressive approach to ABA, the therapist employs a structured yet flexible process, which is contingent upon and responsive to child progress. We will describe progressive ABA, contrast it to reductionist ABA, and provide rationales for both the substance and intent of ABA as a progressive scientific method for improving conditions of social relevance for individuals with ASD. PMID:26373767

  10. Applying machine learning techniques to DNA sequence analysis

    SciTech Connect

    Shavlik, J.W.

    1992-01-01

    We are developing a machine learning system that modifies existing knowledge about specific types of biological sequences. It does this by considering sample members and nonmembers of the sequence motif being learned. Using this information (which we call a domain theory''), our learning algorithm produces a more accurate representation of the knowledge needed to categorize future sequences. Specifically, the KBANN algorithm maps inference rules, such as consensus sequences, into a neural (connectionist) network. Neural network training techniques then use the training examples of refine these inference rules. We have been applying this approach to several problems in DNA sequence analysis and have also been extending the capabilities of our learning system along several dimensions.

  11. Finite Element Analysis Applied to Dentoalveolar Trauma: Methodology Description

    PubMed Central

    da Silva, B. R.; Moreira Neto, J. J. S.; da Silva, F. I.; de Aguiar, A. S. W.

    2011-01-01

    Dentoalveolar traumatic injuries are among the clinical conditions most frequently treated in dental practice. However, few studies so far have addressed the biomechanical aspects of these events, probably as a result of difficulties in carrying out satisfactory experimental and clinical studies as well as the unavailability of truly scientific methodologies. The aim of this paper was to describe the use of finite element analysis applied to the biomechanical evaluation of dentoalveolar trauma. For didactic purposes, the methodological process was divided into steps that go from the creation of a geometric model to the evaluation of final results, always with a focus on methodological characteristics, advantages, and disadvantages, so as to allow the reader to customize the methodology according to specific needs. Our description shows that the finite element method can faithfully reproduce dentoalveolar trauma, provided the methodology is closely followed and thoroughly evaluated. PMID:21991463

  12. Robust regression applied to fractal/multifractal analysis.

    NASA Astrophysics Data System (ADS)

    Portilla, F.; Valencia, J. L.; Tarquis, A. M.; Saa-Requejo, A.

    2012-04-01

    Fractal and multifractal are concepts that have grown increasingly popular in recent years in the soil analysis, along with the development of fractal models. One of the common steps is to calculate the slope of a linear fit commonly using least squares method. This shouldn't be a special problem, however, in many situations using experimental data the researcher has to select the range of scales at which is going to work neglecting the rest of points to achieve the best linearity that in this type of analysis is necessary. Robust regression is a form of regression analysis designed to circumvent some limitations of traditional parametric and non-parametric methods. In this method we don't have to assume that the outlier point is simply an extreme observation drawn from the tail of a normal distribution not compromising the validity of the regression results. In this work we have evaluated the capacity of robust regression to select the points in the experimental data used trying to avoid subjective choices. Based on this analysis we have developed a new work methodology that implies two basic steps: • Evaluation of the improvement of linear fitting when consecutive points are eliminated based on R p-value. In this way we consider the implications of reducing the number of points. • Evaluation of the significance of slope difference between fitting with the two extremes points and fitted with the available points. We compare the results applying this methodology and the common used least squares one. The data selected for these comparisons are coming from experimental soil roughness transect and simulated based on middle point displacement method adding tendencies and noise. The results are discussed indicating the advantages and disadvantages of each methodology. Acknowledgements Funding provided by CEIGRAM (Research Centre for the Management of Agricultural and Environmental Risks) and by Spanish Ministerio de Ciencia e Innovación (MICINN) through project no

  13. Estimating an Applying Uncertainties in Probabilistic Tsunami Hazard Analysis (Invited)

    NASA Astrophysics Data System (ADS)

    Thio, H. K.

    2013-12-01

    An integral part of the a probabilistic analysis is the formal inclusion of uncertainties, both due to a limited understanding of the physics processes (epistemic) as well their natural variability (aleatory). Because of the strong non-linearity of the tsunami inundation process, it is also important to not only understand the extent of the uncertainties, but also how and where to apply them. We can divide up the uncertainties into several stages: the source, ocean propagation and nearshore/inundation. On the source side, many of the uncertainties are identical to those used in probabilistic seismic hazard analysis (PSHA). However, the details of slip distributions are very significant in tsunami excitation, especially for near-field tsunamis.. We will show several ways of including slip variability, both stochastic and non-stochastic, by developing a probabilistic set of source scenarios. The uncertainties in ocean propagation are less significant since modern algorithms are very successful in modeling open ocean tsunami propagation. However, in the near-shore regime and the inundation, the situation is much more complex. Here, errors in the local elevation models, variability in bottom friction and the omission of built environment can lead to significant errors. Details of the implementation of the tsunami algorithms can yield different results. We will discuss the most significant sources of uncertainty and the alternative ways to implement them using examples for the probabilistic tsunami hazard mapping that we are currently carrying out for the state of California and other regions.

  14. A Hygrothermal Risk Analysis Applied to Residential Unvented Attics

    SciTech Connect

    Pallin, Simon B; Kehrer, Manfred

    2013-01-01

    Aresidential building, constructed with an unvented attic, is acommonroof assembly in the United States.The expected hygrothermal performance and service life of the roof are difficult to estimate due to a number of varying parameters.Typical parameters expected to vary are the climate, direction, and slope of the roof as well as the radiation properties of the surface material. Furthermore, influential parameters are indoor moisture excess, air leakages through the attic floor, and leakages from air-handling unit and ventilation ducts. In addition, the type of building materials such as the insulation material and closed or open cell spray polyurethane foam will influence the future performance of the roof. A development of a simulation model of the roof assembly will enable a risk and sensitivity analysis, in which the most important varying parameters on the hygrothermal performance can be determined. The model is designed to perform probabilistic simulations using mathematical and hygrothermal calculation tools. The varying input parameters can be chosen from existing measurements, simulations, or standards. An analysis is applied to determine the risk of consequences, such as mold growth, rot, or energy demand of the HVAC unit. Furthermore, the future performance of the roof can be simulated in different climates to facilitate the design of an efficient and reliable roof construction with the most suitable technical solution and to determine the most appropriate building materials for a given climate

  15. First Attempt of Applying Factor Analysis in Moving Base Gravimetry

    NASA Astrophysics Data System (ADS)

    Li, X.; Roman, D. R.

    2014-12-01

    For gravimetric observation systems on mobile platforms (land/sea/airborne), the Low Signal to Noise Ratio (SNR) issue is the main barrier to achieving an accurate, high resolution gravity signal. Normally, low-pass filters (Childers et al 1999, Forsberg et al 2000, Kwon and Jekeli 2000, Hwang et al 2006) are applied to smooth or remove the high frequency "noise" - even though some of the high frequency component is not necessarily noise. This is especially true for aerogravity surveys such as those from the Gravity for the Redefinition of the American Vertical Datum (GRAV-D) project. These gravity survey flights have a spatial resolution of 10 km between tracks but higher resolution along track. The along track resolution is improved due to the lower flight height (6.1 km), equipment sensitivity, and improved modeling of potential errors. Additionally, these surveys suffer from a loss of signal power due to the increased flight elevation. Hence, application of a low-pass filter removes possible signal sensed in the along-track direction that might otherwise prove useful for various geophysical and geodetic applications. Some cutting-edge developments in Wavelets and Artificial Neural Networks had been successfully applied for obtaining improved results (Li 2008 and 2011, Liang and Liu 2013). However, a clearer and fundamental understanding of the error characteristics will further improve the quality of the gravity estimates out of these gravimetric systems. Here, instead of using any predefined basis function or any a priori model, the idea of Factor Analysis is first employed to try to extract the underlying factors of the noises in the systems. Real data sets collected by both land vehicle and aircraft will be processed as the examples.

  16. Multitaper Spectral Analysis and Wavelet Denoising Applied to Helioseismic Data

    NASA Technical Reports Server (NTRS)

    Komm, R. W.; Gu, Y.; Hill, F.; Stark, P. B.; Fodor, I. K.

    1999-01-01

    Estimates of solar normal mode frequencies from helioseismic observations can be improved by using Multitaper Spectral Analysis (MTSA) to estimate spectra from the time series, then using wavelet denoising of the log spectra. MTSA leads to a power spectrum estimate with reduced variance and better leakage properties than the conventional periodogram. Under the assumption of stationarity and mild regularity conditions, the log multitaper spectrum has a statistical distribution that is approximately Gaussian, so wavelet denoising is asymptotically an optimal method to reduce the noise in the estimated spectra. We find that a single m-upsilon spectrum benefits greatly from MTSA followed by wavelet denoising, and that wavelet denoising by itself can be used to improve m-averaged spectra. We compare estimates using two different 5-taper estimates (Stepian and sine tapers) and the periodogram estimate, for GONG time series at selected angular degrees l. We compare those three spectra with and without wavelet-denoising, both visually, and in terms of the mode parameters estimated from the pre-processed spectra using the GONG peak-fitting algorithm. The two multitaper estimates give equivalent results. The number of modes fitted well by the GONG algorithm is 20% to 60% larger (depending on l and the temporal frequency) when applied to the multitaper estimates than when applied to the periodogram. The estimated mode parameters (frequency, amplitude and width) are comparable for the three power spectrum estimates, except for modes with very small mode widths (a few frequency bins), where the multitaper spectra broadened the modest compared with the periodogram. We tested the influence of the number of tapers used and found that narrow modes at low n values are broadened to the extent that they can no longer be fit if the number of tapers is too large. For helioseismic time series of this length and temporal resolution, the optimal number of tapers is less than 10.

  17. Disruption of exploratory and habituation behavior in mice with mutation of DISC1: an ethologically based analysis.

    PubMed

    Walsh, J; Desbonnet, L; Clarke, N; Waddington, J L; O'Tuathaigh, C M P

    2012-07-01

    Disrupted-in-schizophrenia-1 (DISC1) is a gene that has been functionally linked with neurodevelopmental processes and structural plasticity in the brain. Clinical genetic investigations have implicated DISC1 as a genetic risk factor for schizophrenia and related psychoses. Studies using mutant mouse models of DISC1 gene function have demonstrated schizophrenia-related anatomical and behavioral endophenotypes. In the present study, ethologically based assessment of exploratory and habituation behavior in the open field was conducted in DISC1 (L100P), wild-type (WT), heterozygous (HET), and homozygous (HOM) mutant mice of both sexes. Ethological assessment was conducted in an open-field environment to explore specific topographies of murine exploratory behavior across the extended course of interaction from initial exploration through subsequent habituation (the ethogram). During initial exploration, HET and HOM DISC1 mutants evidenced increased levels of locomotion and rearing to wall compared with WT. A HOM-specific increase in total rearing and a HET-specific increase in sifting behavior and reduction in rearing seated were also observed. Over subsequent habituation, locomotion, sniffing, total rearing, rearing to wall, rearing free, and rearing seated were increased in HET and HOM mutants vs. WT. Overall, grooming was increased in HOM relative to other genotypes. HET mice displayed a selective decrease in habituation of sifting behavior. These data demonstrate impairment in both initial exploratory and habituation of exploration in a novel environment in mice with mutation of DISC1. This is discussed in the context of the functional role of the gene vis à vis a schizophrenia phenotype as well as the value of ethologically based approaches to behavioral phenotyping.

  18. To Apply or Not to Apply: A Survey Analysis of Grant Writing Costs and Benefits

    PubMed Central

    von Hippel, Ted; von Hippel, Courtney

    2015-01-01

    We surveyed 113 astronomers and 82 psychologists active in applying for federally funded research on their grant-writing history between January, 2009 and November, 2012. We collected demographic data, effort levels, success rates, and perceived non-financial benefits from writing grant proposals. We find that the average proposal takes 116 PI hours and 55 CI hours to write; although time spent writing was not related to whether the grant was funded. Effort did translate into success, however, as academics who wrote more grants received more funding. Participants indicated modest non-monetary benefits from grant writing, with psychologists reporting a somewhat greater benefit overall than astronomers. These perceptions of non-financial benefits were unrelated to how many grants investigators applied for, the number of grants they received, or the amount of time they devoted to writing their proposals. We also explored the number of years an investigator can afford to apply unsuccessfully for research grants and our analyses suggest that funding rates below approximately 20%, commensurate with current NIH and NSF funding, are likely to drive at least half of the active researchers away from federally funded research. We conclude with recommendations and suggestions for individual investigators and for department heads. PMID:25738742

  19. To apply or not to apply: a survey analysis of grant writing costs and benefits.

    PubMed

    von Hippel, Ted; von Hippel, Courtney

    2015-01-01

    We surveyed 113 astronomers and 82 psychologists active in applying for federally funded research on their grant-writing history between January, 2009 and November, 2012. We collected demographic data, effort levels, success rates, and perceived non-financial benefits from writing grant proposals. We find that the average proposal takes 116 PI hours and 55 CI hours to write; although time spent writing was not related to whether the grant was funded. Effort did translate into success, however, as academics who wrote more grants received more funding. Participants indicated modest non-monetary benefits from grant writing, with psychologists reporting a somewhat greater benefit overall than astronomers. These perceptions of non-financial benefits were unrelated to how many grants investigators applied for, the number of grants they received, or the amount of time they devoted to writing their proposals. We also explored the number of years an investigator can afford to apply unsuccessfully for research grants and our analyses suggest that funding rates below approximately 20%, commensurate with current NIH and NSF funding, are likely to drive at least half of the active researchers away from federally funded research. We conclude with recommendations and suggestions for individual investigators and for department heads.

  20. To apply or not to apply: a survey analysis of grant writing costs and benefits.

    PubMed

    von Hippel, Ted; von Hippel, Courtney

    2015-01-01

    We surveyed 113 astronomers and 82 psychologists active in applying for federally funded research on their grant-writing history between January, 2009 and November, 2012. We collected demographic data, effort levels, success rates, and perceived non-financial benefits from writing grant proposals. We find that the average proposal takes 116 PI hours and 55 CI hours to write; although time spent writing was not related to whether the grant was funded. Effort did translate into success, however, as academics who wrote more grants received more funding. Participants indicated modest non-monetary benefits from grant writing, with psychologists reporting a somewhat greater benefit overall than astronomers. These perceptions of non-financial benefits were unrelated to how many grants investigators applied for, the number of grants they received, or the amount of time they devoted to writing their proposals. We also explored the number of years an investigator can afford to apply unsuccessfully for research grants and our analyses suggest that funding rates below approximately 20%, commensurate with current NIH and NSF funding, are likely to drive at least half of the active researchers away from federally funded research. We conclude with recommendations and suggestions for individual investigators and for department heads. PMID:25738742

  1. Sensitivity analysis for texture models applied to rust steel classification

    NASA Astrophysics Data System (ADS)

    Trujillo, Maite; Sadki, Mustapha

    2004-05-01

    The exposure of metallic structures to rust degradation during their operational life is a known problem and it affects storage tanks, steel bridges, ships, etc. In order to prevent this degradation and the potential related catastrophes, the surfaces have to be assessed and the appropriate surface treatment and coating need to be applied according to the corrosion time of the steel. We previously investigated the potential of image processing techniques to tackle this problem. Several mathematical algorithms methods were analyzed and evaluated on a database of 500 images. In this paper, we extend our previous research and provide a further analysis of the textural mathematical methods for automatic rust time steel detection. Statistical descriptors are provided to evaluate the sensitivity of the results as well as the advantages and limitations of the different methods. Finally, a selector of the classifiers algorithms is introduced and the ratio between sensitivity of the results and time response (execution time) is analyzed to compromise good classification results (high sensitivity) and acceptable time response for the automation of the system.

  2. Comparative analysis of knowledge gain between interpretive and fact-only presentations at an animal training session: an exploratory study.

    PubMed

    Visscher, Nick C; Snider, Richard; Vander Stoep, Gail

    2009-09-01

    Zoos and aquariums have recognized the importance of integrating living collections with personally delivered interpretation. One way for zoos to accomplish this is by conducting public animal training sessions accompanied by personal interpretation. Many institutions offer these types of interactions, but the term "interpretation" is used loosely and without clear definition. This exploratory study compared knowledge gain of individual students in three different fifth grade school groups visiting the Potter Park Zoo in Lansing, Michigan. Each group observed an animal training session, with two groups receiving two types of presentations and one group serving as a control group. Although hearing the same facts, the two treatment groups received different program types: an interpretive presentation and a fact-only presentation. The third group viewed the training session but received no presentation. Results showed that individuals who received the interpretive presentation retained more information immediately after the training session than individuals in either of the other two groups. This exploratory study suggests that using an interpretive presentation style is more effective in producing knowledge gain than fact-only presentations in informal learning environments such as zoos and aquariums.

  3. An exploratory analysis of the relationship between ambient ozone and particulate matter concentrations during early pregnancy and selected birth defects in Texas.

    PubMed

    Vinikoor-Imler, Lisa C; Stewart, Thomas G; Luben, Thomas J; Davis, J Allen; Langlois, Peter H

    2015-07-01

    We performed an exploratory analysis of ozone (O3) and fine particulate matter (PM2.5) concentrations during early pregnancy and multiple types of birth defects. Data on births were obtained from the Texas Birth Defects Registry (TBDR) and the National Birth Defects Prevention Study (NBDPS) in Texas. Air pollution concentrations were previously determined by combining modeled air pollution concentrations with air monitoring data. The analysis generated hypotheses for future, confirmatory studies; although many of the observed associations were null. The hypotheses are provided by an observed association between O3 and craniosynostosis and inverse associations between PM2.5 and septal and obstructive heart defects in the TBDR. Associations with PM2.5 for septal heart defects and ventricular outflow tract obstructions were null using the NBDPS. Both the TBDR and the NBPDS had inverse associations between O3 and septal heart defects. Further research to confirm the observed associations is warranted.

  4. Dynamic arrays for fast, efficient, data manipulation during image analysis: a new software tool for exploratory data analysis.

    PubMed

    Breen, E J; Joss, G H; Williams, K L

    1992-03-01

    Memory reallocation is used to construct a run-time data structure for fast/efficient storage of information during collection and analysis. The data structure presented uses dynamic memory but does not require the use of pointers to link nodes of information together. It allows for simple and efficient access to data via array indexing rather than through the use of lists or tree structures and it provides flexibility for competing storage requirements that are determined dynamically. The data structure is developed in the C programming language and a suite of ANSI standard C subroutines that make up a run-time data structure management system is provided.

  5. Factor Analysis Applied the VFY-218 RCS Data

    NASA Technical Reports Server (NTRS)

    Woo, Alex; Chancellor, Marisa K. (Technical Monitor)

    1997-01-01

    Present statistical factor analysis of computer simulations and measurement data for the VFY-218 configuration. Factor analysis try to quantify the statistical grouping of measurements and simulations.

  6. "Bringing home more than a paycheck:" an exploratory analysis of Black lesbians' experiences of stress and coping in the workplace.

    PubMed

    Bowleg, Lisa; Brooks, Kelly; Ritz, Susan Faye

    2008-01-01

    Although the workplace stress that Black women and lesbian, gay, bisexual and transgender (LGBT) people experience due to prejudice and discrimination has been well-documented in the social science literature, much of this literature focuses on Black women or LGBTs as if these groups were distinct and mutually exclusive. Consequently, there is a void of theory and research on the workplace stress that Black lesbians experience. This qualitative study involved exploratory analyses of workplace stress due to race, sex/gender, and sexual orientation, and coping strategies among a predominantly middle-class, highly educated sample of 19 Black lesbians between the ages of 26 and 68. Four workplace stressors emerged, those relevant to: heterosexism/ sexual identity; racism/race; sexism/sex/gender; and intersections of race, sex/gender, and sexual orientation. Three primary coping strategies emerged: being out and managing being out, covering their sexual orientation, and confronting or educating coworkers about prejudice and discrimination.

  7. An Exploratory Analysis of the Relationship between Cardiometabolic Risk Factors and Cognitive/Academic Performance among Adolescents.

    PubMed

    Yeh, Ting-Kuang; Cho, Ying-Chun; Yeh, Ting-Chi; Hu, Chung-Yi; Lee, Li-Ching; Chang, Chun-Yen

    2015-01-01

    This exploratory study examines the relationship between cardiometabolic risk factors (blood pressure, waist circumference, BMI, and total cholesterol) and cognitive/academic performance. In this study, 1297 Taiwanese tenth-grade volunteers are recruited. Scores from the Basic Competency Test, an annual national competitive entrance examination, are used to evaluate academic performance. Cognitive abilities are accessed via the Multiple Aptitude Test Battery. The results indicate that systolic blood pressure is significantly, negatively associated with academic performance, both in male and female subjects. BMI and waist circumference are associated with verbal reasoning performance with an inverse U-shaped pattern, suggesting that both low and high BMI/waist circumference may be associated with lower verbal reasoning performance. PMID:26137484

  8. Phase plane analysis: applying chaos theory in health care.

    PubMed

    Priesmeyer, H R; Sharp, L F

    1995-01-01

    This article applies the new science of nonlinearity to administrative issues and accounts receivable management in health care, and it provides a new perspective on common operating and quality control measures. PMID:10151628

  9. Moderators of Varenicline Treatment Effects in a Double-Blind, Placebo-Controlled Trial for Alcohol Dependence: an Exploratory Analysis

    PubMed Central

    Falk, Daniel E.; Castle, I-Jen P.; Ryan, Megan; Fertig, Joanne; Litten, Raye Z.

    2015-01-01

    Objectives To explore if varenicline (Chantix®) showed more efficacy in treating certain subgroups of patients. In a recent multi-site trial, varenicline was shown to be effective in reducing drinking in alcohol dependent patients, both smokers and nonsmokers. Given the heterogeneity among alcohol dependent patients, secondary analyses were conducted to determine if certain subgroups responded more favorably than others to treatment with varenicline. Methods Data were drawn from a Phase 2 randomized, double-blind, placebo-controlled multi-site 13-week trial of varenicline in alcohol dependent patients (Litten et al., 2013). Seventeen moderator variables were selected for exploratory testing on the basis of theoretical and scientific interest. Results Of the 17 moderator variables assessed, four were statistically significant, including cigarettes per day reduction, treatment drinking goal, years drinking regularly, and age of patient. Two other variables—the type of adverse events experienced by patients and the severity of alcohol-related consequences—appeared to moderate the varenicline treatment effect at borderline statistical significance. Individuals who reduced the number of cigarettes per day experienced a significant effect from varenicline in reducing drinking, whereas those who did not change or who increased their number of cigarettes observed no beneficial effect. Reviewing the moderators related to severity, varenicline appeared to have greater efficacy than placebo among less severely-dependent patients. Conclusions Varenicline appears to be more efficacious in certain subgroups, particularly in those who reduced their smoking and in the “less severe” patient. Additional studies are warranted to confirm the results of these exploratory analyses. PMID:26083958

  10. Multi-Criteria Analysis for Biomass Utilization Applying Data Envelopment Analysis

    NASA Astrophysics Data System (ADS)

    Morimoto, Hidetsugu; Hoshino, Satoshi; Kuki, Yasuaki

    This paper aimed to consider about material-recycling, preventing global warming, and economic efficiency on preset and planed 195 Biomass Towns applying DEA (Data Envelopment Analysis), which can evaluate operational efficiency entities such as private companies or projects. In the results, although the Biomass Town can recycle material efficiently, it was clarified that preventing global warming and business profitability was brushed off like it in Biomass Town Design. Moreover, from the point of view of operational efficiency, we suggested an improvement of the Biomass Town scale for more efficiency-enhancing applying DEA. We found that applying DEA was able to catch more improvements or indicator as compared with cost-benefit analysis and cost-effectiveness analysis.

  11. An economic and financial exploratory

    NASA Astrophysics Data System (ADS)

    Cincotti, S.; Sornette, D.; Treleaven, P.; Battiston, S.; Caldarelli, G.; Hommes, C.; Kirman, A.

    2012-11-01

    This paper describes the vision of a European Exploratory for economics and finance using an interdisciplinary consortium of economists, natural scientists, computer scientists and engineers, who will combine their expertise to address the enormous challenges of the 21st century. This Academic Public facility is intended for economic modelling, investigating all aspects of risk and stability, improving financial technology, and evaluating proposed regulatory and taxation changes. The European Exploratory for economics and finance will be constituted as a network of infrastructure, observatories, data repositories, services and facilities and will foster the creation of a new cross-disciplinary research community of social scientists, complexity scientists and computing (ICT) scientists to collaborate in investigating major issues in economics and finance. It is also considered a cradle for training and collaboration with the private sector to spur spin-offs and job creations in Europe in the finance and economic sectors. The Exploratory will allow Social Scientists and Regulators as well as Policy Makers and the private sector to conduct realistic investigations with real economic, financial and social data. The Exploratory will (i) continuously monitor and evaluate the status of the economies of countries in their various components, (ii) use, extend and develop a large variety of methods including data mining, process mining, computational and artificial intelligence and every other computer and complex science techniques coupled with economic theory and econometric, and (iii) provide the framework and infrastructure to perform what-if analysis, scenario evaluations and computational, laboratory, field and web experiments to inform decision makers and help develop innovative policy, market and regulation designs.

  12. Development of a model for robust and exploratory analysis of the rodent brief-access taste aversion data.

    PubMed

    Soto, Jessica; Sheng, Yucheng; Standing, Joseph F; Orlu Gul, Mine; Tuleu, Catherine

    2015-04-01

    The rodent brief-access taste aversion (BATA) model is an efficient in vivo screening tool for taste assessment. A new E(max) (maximum effect attributable to the drug) model was developed and further investigated in comparison with three previously published models for analysing the rodent BATA data; the robustness of all the models was discussed. The rodent BATA data were obtained from a series of experiments conducted with a bitter reference compound, quinine hydrochloride dihydrate (QHD). A new E(max) model that could be applied to both "lick numbers" and "lick ratios" was built and three published models that used lick ratios were employed for analysing the BATA data. IC50, the concentration that inhibits 50% of the maximum lick numbers, quantified the oral aversiveness of QHD. One thousand bootstrap datasets were generated from the original data. All models were applied to estimate the confidence intervals of the IC50s without symmetric assumption. The IC50 value obtained from the new E(max) model was 0.0496 mM (95% CI 0.0297-0.0857) using the lick numbers for analysis, while an IC50 of 0.0502 mM (95% CI 0.0267-0.0859) was acquired with the lick ratios. Except one published model, the IC50 values have a similar range for the 95% CI. The new E(max) model enabled the analysis of both "lick numbers" and "lick ratios" whereas other models could only handle data presented as "lick ratios". IC50s obtained with these two types of datasets showed similarity among all models thereby justified the robustness of the new E(max) model.

  13. Structured exploratory data analysis (SEDA) of finger ridge-count inheritance: I. Major gene index, midparental correlation, and offspring-between-parents function in 125 south Indian families.

    PubMed

    Karlin, S; Chakraborty, R; Williams, P T; Mathew, S

    1983-12-01

    Fourteen dermatoglyphic traits measured on 125 Velanadu Brahmin families were analyzed for mode of inheritance using three Structured Exploratory Data Analysis (SEDA) statistics: the major gene index, the offspring between parents function, and the traditional midparental correlation coefficient. Since the traits are integer valued with restricted ranges of variation, we simulated various transmission models with discrete expression to better understand the nature of the SEDA statistics for such variables. In addition, permutation procedures were employed to aid the interpretation of the SEDA results. These analyses suggest that corresponding homologous fingers on the left and right hands exhibit similar transmission characteristics. The relationship of the parent and child total ridge-counts of the two hands separately, as well as their combined total, virtually simulate complete Galtonian blending inheritance. Results for the individual digital ridge-counts as well as the pattern-intensity-index variable also suggest a multifactorial mode of transmission or possibly one involving several genes.

  14. Applying Regression Analysis to Problems in Institutional Research.

    ERIC Educational Resources Information Center

    Bohannon, Tom R.

    1988-01-01

    Regression analysis is one of the most frequently used statistical techniques in institutional research. Principles of least squares, model building, residual analysis, influence statistics, and multi-collinearity are described and illustrated. (Author/MSE)

  15. Measurement uncertainty analysis techniques applied to PV performance measurements

    SciTech Connect

    Wells, C.

    1992-10-01

    The purpose of this presentation is to provide a brief introduction to measurement uncertainty analysis, outline how it is done, and illustrate uncertainty analysis with examples drawn from the PV field, with particular emphasis toward its use in PV performance measurements. The uncertainty information we know and state concerning a PV performance measurement or a module test result determines, to a significant extent, the value and quality of that result. What is measurement uncertainty analysis It is an outgrowth of what has commonly been called error analysis. But uncertainty analysis, a more recent development, gives greater insight into measurement processes and tests, experiments, or calibration results. Uncertainty analysis gives us an estimate of the I interval about a measured value or an experiment's final result within which we believe the true value of that quantity will lie. Why should we take the time to perform an uncertainty analysis A rigorous measurement uncertainty analysis: Increases the credibility and value of research results; allows comparisons of results from different labs; helps improve experiment design and identifies where changes are needed to achieve stated objectives (through use of the pre-test analysis); plays a significant role in validating measurements and experimental results, and in demonstrating (through the post-test analysis) that valid data have been acquired; reduces the risk of making erroneous decisions; demonstrates quality assurance and quality control measures have been accomplished; define Valid Data as data having known and documented paths of: Origin, including theory; measurements; traceability to measurement standards; computations; uncertainty analysis of results.

  16. Duration Analysis Applied to the Adoption of Knowledge.

    ERIC Educational Resources Information Center

    Vega-Cervera, Juan A.; Gordillo, Isabel Cuadrado

    2001-01-01

    Analyzes knowledge acquisition in a sample of 264 pupils in 9 Spanish elementary schools, using time as a dependent variable. Introduces psycho-pedagogical, pedagogical, and social variables into a hazard model applied to the reading process. Auditory discrimination (not intelligence or visual perception) most significantly influences learning to…

  17. Some Applied Research Concerns Using Multiple Linear Regression Analysis.

    ERIC Educational Resources Information Center

    Newman, Isadore; Fraas, John W.

    The intention of this paper is to provide an overall reference on how a researcher can apply multiple linear regression in order to utilize the advantages that it has to offer. The advantages and some concerns expressed about the technique are examined. A number of practical ways by which researchers can deal with such concerns as…

  18. Exploratory Research and Development Fund, FY 1990

    SciTech Connect

    Not Available

    1992-05-01

    The Lawrence Berkeley Laboratory Exploratory R D Fund FY 1990 report is compiled from annual reports submitted by principal investigators following the close of the fiscal year. This report describes the projects supported and summarizes their accomplishments. It constitutes a part of an Exploratory R D Fund (ERF) planning and documentation process that includes an annual planning cycle, projection selection, implementation, and review. The research areas covered in this report are: Accelerator and fusion research; applied science; cell and molecular biology; chemical biodynamics; chemical sciences; earth sciences; engineering; information and computing sciences; materials sciences; nuclear science; physics and research medicine and radiation biophysics.

  19. How Has Applied Behavior Analysis and Behavior Therapy Changed?: An Historical Analysis of Journals

    ERIC Educational Resources Information Center

    O'Donohue, William; Fryling, Mitch

    2007-01-01

    Applied behavior analysis and behavior therapy are now nearly a half century old. It is interesting to ask if and how these disciplines have changed over time, particularly regarding some of their key internal controversies (e.g., role of cognitions). We examined the first five years and the 2000-2004 five year period of the "Journal of Applied…

  20. Applying Model Analysis to a Resource-Based Analysis of the Force and Motion Conceptual Evaluation

    ERIC Educational Resources Information Center

    Smith, Trevor I.; Wittmann, Michael C.; Carter, Tom

    2014-01-01

    Previously, we analyzed the Force and Motion Conceptual Evaluation in terms of a resources-based model that allows for clustering of questions so as to provide useful information on how students correctly or incorrectly reason about physics. In this paper, we apply model analysis to show that the associated model plots provide more information…

  1. Measurement uncertainty analysis techniques applied to PV performance measurements

    SciTech Connect

    Wells, C

    1992-10-01

    The purpose of this presentation is to provide a brief introduction to measurement uncertainty analysis, outline how it is done, and illustrate uncertainty analysis with examples drawn from the PV field, with particular emphasis toward its use in PV performance measurements. The uncertainty information we know and state concerning a PV performance measurement or a module test result determines, to a significant extent, the value and quality of that result. What is measurement uncertainty analysis? It is an outgrowth of what has commonly been called error analysis. But uncertainty analysis, a more recent development, gives greater insight into measurement processes and tests, experiments, or calibration results. Uncertainty analysis gives us an estimate of the I interval about a measured value or an experiment`s final result within which we believe the true value of that quantity will lie. Why should we take the time to perform an uncertainty analysis? A rigorous measurement uncertainty analysis: Increases the credibility and value of research results; allows comparisons of results from different labs; helps improve experiment design and identifies where changes are needed to achieve stated objectives (through use of the pre-test analysis); plays a significant role in validating measurements and experimental results, and in demonstrating (through the post-test analysis) that valid data have been acquired; reduces the risk of making erroneous decisions; demonstrates quality assurance and quality control measures have been accomplished; define Valid Data as data having known and documented paths of: Origin, including theory; measurements; traceability to measurement standards; computations; uncertainty analysis of results.

  2. Quantifying microwear on experimental Mistassini quartzite scrapers: preliminary results of exploratory research using LSCM and scale-sensitive fractal analysis.

    PubMed

    Stemp, W James; Lerner, Harry J; Kristant, Elaine H

    2013-01-01

    Although previous use-wear studies involving quartz and quartzite have been undertaken by archaeologists, these are comparatively few in number. Moreover, there has been relatively little effort to quantify use-wear on stone tools made from quartzite. The purpose of this article is to determine the effectiveness of a measurement system, laser scanning confocal microscopy (LSCM), to document the surface roughness or texture of experimental Mistassini quartzite scrapers used on two different contact materials (fresh and dry deer hide). As in previous studies using LSCM on chert, flint, and obsidian, this exploratory study incorporates a mathematical algorithm that permits the discrimination of surface roughness based on comparisons at multiple scales. Specifically, we employ measures of relative area (RelA) coupled with the F-test to discriminate used from unused stone tool surfaces, as well as surfaces of quartzite scrapers used on dry and fresh deer hide. Our results further demonstrate the effect of raw material variation on use-wear formation and its documentation using LSCM and RelA. PMID:22688593

  3. Quantifying microwear on experimental Mistassini quartzite scrapers: preliminary results of exploratory research using LSCM and scale-sensitive fractal analysis.

    PubMed

    Stemp, W James; Lerner, Harry J; Kristant, Elaine H

    2013-01-01

    Although previous use-wear studies involving quartz and quartzite have been undertaken by archaeologists, these are comparatively few in number. Moreover, there has been relatively little effort to quantify use-wear on stone tools made from quartzite. The purpose of this article is to determine the effectiveness of a measurement system, laser scanning confocal microscopy (LSCM), to document the surface roughness or texture of experimental Mistassini quartzite scrapers used on two different contact materials (fresh and dry deer hide). As in previous studies using LSCM on chert, flint, and obsidian, this exploratory study incorporates a mathematical algorithm that permits the discrimination of surface roughness based on comparisons at multiple scales. Specifically, we employ measures of relative area (RelA) coupled with the F-test to discriminate used from unused stone tool surfaces, as well as surfaces of quartzite scrapers used on dry and fresh deer hide. Our results further demonstrate the effect of raw material variation on use-wear formation and its documentation using LSCM and RelA.

  4. Applying Qualitative Hazard Analysis to Support Quantitative Safety Analysis for Proposed Reduced Wake Separation Conops

    NASA Technical Reports Server (NTRS)

    Shortle, John F.; Allocco, Michael

    2005-01-01

    This paper describes a scenario-driven hazard analysis process to identify, eliminate, and control safety-related risks. Within this process, we develop selective criteria to determine the applicability of applying engineering modeling to hypothesized hazard scenarios. This provides a basis for evaluating and prioritizing the scenarios as candidates for further quantitative analysis. We have applied this methodology to proposed concepts of operations for reduced wake separation for closely spaced parallel runways. For arrivals, the process identified 43 core hazard scenarios. Of these, we classified 12 as appropriate for further quantitative modeling, 24 that should be mitigated through controls, recommendations, and / or procedures (that is, scenarios not appropriate for quantitative modeling), and 7 that have the lowest priority for further analysis.

  5. Factorial kriging analysis applied to geological data from petroleum exploration

    SciTech Connect

    Jaquet, O.

    1989-10-01

    A regionalized variable, thickness of the reservoir layer, from a gas field is decomposed by factorial kriging analysis. Maps of the obtained components may be associated with depositional environments that are favorable for petroleum exploration.

  6. Spectrophotometric multicomponent analysis applied to trace metal determinations

    SciTech Connect

    Otto, M.; Wegscheider, W.

    1985-01-01

    Quantitative spectrometric analysis of mixture components is featured for systems with low spectral selectivity, namely, in the ultraviolet, visible, and infrared spectral range. Limitations imposed by data reduction schemes based on ordinary multiple regression are shown to be overcome by means of partial least-squares analysis in latent variables. The influences of variables such as noise, band separation band intensity ratios, number of wavelengths, number of components, number of calibration mixtures, time drift, or deviations from Beer's law on the analytical result has been evaluated under a wide range of conditions providing a basis to search for new systems applicable to spectrophotometric multicomponent analysis. The practical utility of the method is demonstrated for simultaneous analysis of copper, nickel, cobalt, iron, and palladium down to 2 X 10/sup -6/ M concentrations by use of their diethyldithiocarbamate chelate complexes with relative errors less than 6%. 26 references, 4 figures, 6 tables.

  7. Advanced Therapy Medicinal Products and Exemptions to the Regulation 1394/2007: How Confident Can We be? An Exploratory Analysis.

    PubMed

    Van Wilder, Philippe

    2012-01-01

    The market authorization procedure for medicinal products for human use is relying on their demonstrated efficacy, safety, and pharmaceutical quality. This applies to all medicinal products whether of chemical or biological origin. Since October 2009, the first advanced therapy medicinal product (ATMP) has been authorized through the centralized procedure. ATMPs are gene therapy medicinal products, somatic cell therapy medicinal products or tissue-engineered products. An appropriate ATMP - Regulation is dealing with ATMP requirements. Two exemptions are foreseen to the ATMP Regulation: (a) Products, which were legally on the Community market when the Regulation became applicable, should comply to the Regulation by December 30, 2012. (b) The hospital exemption rule for non-routine products for an individual patient. In this work we explored whether the actual application of the Regulation on ATMPs is in line with the aim of the Regulation in terms of guaranteeing the highest level of health protection for patients. Based on the analysis of the relative efficacy of the only EC authorized ATMP and its exempted alternatives, there is evidence against this Regulation 1394/2007 assumption.

  8. The colour analysis method applied to homogeneous rocks

    NASA Astrophysics Data System (ADS)

    Halász, Amadé; Halmai, Ákos

    2015-12-01

    Computer-aided colour analysis can facilitate cyclostratigraphic studies. Here we report on a case study involving the development of a digital colour analysis method for examination of the Boda Claystone Formation which is the most suitable in Hungary for the disposal of high-level radioactive waste. Rock type colours are reddish brown or brownish red, or any shade between brown and red. The method presented here could be used to differentiate similar colours and to identify gradual transitions between these; the latter are of great importance in a cyclostratigraphic analysis of the succession. Geophysical well-logging has demonstrated the existence of characteristic cyclic units, as detected by colour and natural gamma. Based on our research, colour, natural gamma and lithology correlate well. For core Ib-4, these features reveal the presence of orderly cycles with thicknesses of roughly 0.64 to 13 metres. Once the core has been scanned, this is a time- and cost-effective method.

  9. Orbit Response Matrix Analysis Applied at PEP-II

    SciTech Connect

    Steier, C.; Wolski, A.; Ecklund, S.; Safranek, J.A.; Tenenbaum, P.; Terebilo, A.; Turner, J.L.; Yocky, G.; /SLAC

    2005-05-17

    The analysis of orbit response matrices has been used very successfully to measure and correct the gradient and skew gradient distribution in many accelerators. It allows determination of an accurately calibrated model of the coupled machine lattice, which then can be used to calculate the corrections necessary to improve coupling, dynamic aperture and ultimately luminosity. At PEP-II, the Matlab version of LOCO has been used to analyze coupled response matrices for both the LER and the HER. The large number of elements in PEP-II and the very complicated interaction region present unique challenges to the data analysis. All necessary tools to make the analysis method useable at PEP-II have been implemented and LOCO can now be used as a routine tool for lattice diagnostic.

  10. Joint regression analysis and AMMI model applied to oat improvement

    NASA Astrophysics Data System (ADS)

    Oliveira, A.; Oliveira, T. A.; Mejza, S.

    2012-09-01

    In our work we present an application of some biometrical methods useful in genotype stability evaluation, namely AMMI model, Joint Regression Analysis (JRA) and multiple comparison tests. A genotype stability analysis of oat (Avena Sativa L.) grain yield was carried out using data of the Portuguese Plant Breeding Board, sample of the 22 different genotypes during the years 2002, 2003 and 2004 in six locations. In Ferreira et al. (2006) the authors state the relevance of the regression models and of the Additive Main Effects and Multiplicative Interactions (AMMI) model, to study and to estimate phenotypic stability effects. As computational techniques we use the Zigzag algorithm to estimate the regression coefficients and the agricolae-package available in R software for AMMI model analysis.

  11. On the relation between applied behavior analysis and positive behavioral support

    PubMed Central

    Carr, James E.; Sidener, Tina M.

    2002-01-01

    Anderson and Freeman (2000) recently defined positive behavioral support (PBS) as a systematic approach to the delivery of clinical and educational services that is rooted in behavior analysis. However, the recent literature contains varied definitions of PBS as well as discrepant notions regarding the relation between applied behavior analysis and PBS. After summarizing common definitional characteristics of PBS from the literature, we conclude that PBS is comprised almost exclusively of techniques and values originating in applied behavior analysis. We then discuss the relations between applied behavior analysis and PBS that have been proposed in the literature. Finally, we discuss possible implications of considering PBS a field separate from applied behavior analysis. PMID:22478389

  12. Systems design analysis applied to launch vehicle configuration

    NASA Technical Reports Server (NTRS)

    Ryan, R.; Verderaime, V.

    1993-01-01

    As emphasis shifts from optimum-performance aerospace systems to least lift-cycle costs, systems designs must seek, adapt, and innovate cost improvement techniques in design through operations. The systems design process of concept, definition, and design was assessed for the types and flow of total quality management techniques that may be applicable in a launch vehicle systems design analysis. Techniques discussed are task ordering, quality leverage, concurrent engineering, Pareto's principle, robustness, quality function deployment, criteria, and others. These cost oriented techniques are as applicable to aerospace systems design analysis as to any large commercial system.

  13. Applying Skinner's Analysis of Verbal Behavior to Persons with Dementia

    ERIC Educational Resources Information Center

    Dixon, Mark; Baker, Jonathan C.; Sadowski, Katherine Ann

    2011-01-01

    Skinner's 1957 analysis of verbal behavior has demonstrated a fair amount of utility to teach language to children with autism and other various disorders. However, the learning of language can be forgotten, as is the case for many elderly suffering from dementia or other degenerative diseases. It appears possible that Skinner's operants may…

  14. Action, Content and Identity in Applied Genre Analysis for ESP

    ERIC Educational Resources Information Center

    Flowerdew, John

    2011-01-01

    Genres are staged, structured, communicative events, motivated by various communicative purposes, and performed by members of specific discourse communities (Swales 1990; Bhatia 1993, 2004; Berkenkotter & Huckin 1995). Since its inception, with the two seminal works on the topic by Swales (1990) and Bhatia (1993), genre analysis has taken pride of…

  15. Applying Adult Learning Theory through a Character Analysis

    ERIC Educational Resources Information Center

    Baskas, Richard S.

    2011-01-01

    The purpose of this study is to analyze the behavior of a character, Celie, in a movie, 'The Color Purple," through the lens of two adult learning theorists to determine the relationships the character has with each theory. The development and portrayal of characters in movies can be explained and understood by the analysis of adult learning…

  16. Applying Score Analysis to a Rehearsal Pedagogy of Expressive Performance

    ERIC Educational Resources Information Center

    Byo, James L.

    2014-01-01

    The discoveries of score analysis (e.g., minor seventh chord, ostinato, phrase elision, melodic fragment, half cadence) are more than just compositional techniques or music vocabulary. They are sounds--fascinating, storytelling, dynamic modes of expression--that when approached as such enrich the rehearsal experience. This article presents a…

  17. Applying AI tools to operational space environmental analysis

    NASA Technical Reports Server (NTRS)

    Krajnak, Mike; Jesse, Lisa; Mucks, John

    1995-01-01

    The U.S. Air Force and National Oceanic Atmospheric Agency (NOAA) space environmental operations centers are facing increasingly complex challenges meeting the needs of their growing user community. These centers provide current space environmental information and short term forecasts of geomagnetic activity. Recent advances in modeling and data access have provided sophisticated tools for making accurate and timely forecasts, but have introduced new problems associated with handling and analyzing large quantities of complex data. AI (Artificial Intelligence) techniques have been considered as potential solutions to some of these problems. Fielding AI systems has proven more difficult than expected, in part because of operational constraints. Using systems which have been demonstrated successfully in the operational environment will provide a basis for a useful data fusion and analysis capability. Our approach uses a general purpose AI system already in operational use within the military intelligence community, called the Temporal Analysis System (TAS). TAS is an operational suite of tools supporting data processing, data visualization, historical analysis, situation assessment and predictive analysis. TAS includes expert system tools to analyze incoming events for indications of particular situations and predicts future activity. The expert system operates on a knowledge base of temporal patterns encoded using a knowledge representation called Temporal Transition Models (TTM's) and an event database maintained by the other TAS tools. The system also includes a robust knowledge acquisition and maintenance tool for creating TTM's using a graphical specification language. The ability to manipulate TTM's in a graphical format gives non-computer specialists an intuitive way of accessing and editing the knowledge base. To support space environmental analyses, we used TAS's ability to define domain specific event analysis abstractions. The prototype system defines

  18. A value analysis model applied to the management of amblyopia.

    PubMed Central

    Beauchamp, G R; Bane, M C; Stager, D R; Berry, P M; Wright, W W

    1999-01-01

    PURPOSE: To assess the value of amblyopia-related services by utilizing a health value model (HVM). Cost and quality criteria are evaluated in accordance with the interests of patients, physicians, and purchasers. METHODS: We applied an HVM to a hypothetical statistical ("median") child with amblyopia whose visual acuity is 20/80 and to a group of children with amblyopia who are managed by our practice. We applied the model to calculate the value of these services by evaluating the responses of patients and physicians and relating these responses to clinical outcomes. RESULTS: The consensus value of care for the hypothetical median child was calculated to be 0.406 (of 1.000). For those children managed in our practice, the calculated value is 0.682. Clinically, 79% achieved 20/40 or better visual acuity, and the mean final visual acuity was 0.2 logMAR (20/32). Value appraisals revealed significant concerns about the financial aspects of amblyopia-related services, particularly among physicians. Patients rated services more positively than did physicians. CONCLUSIONS: Amblyopia care is difficult, sustained, and important work that requires substantial sensitivity to and support of children and families. Compliance and early detection are essential to success. The value of amblyopia services is rated significantly higher by patients than by physicians. Relative to the measured value, amblyopia care is undercompensated. The HVM is useful to appraise clinical service delivery and its variation. The costs of failure and the benefits of success are high; high-value amblyopia care yields substantial dividends and should be commensurately compensated in the marketplace. PMID:10703133

  19. Setting events in applied behavior analysis: Toward a conceptual and methodological expansion

    PubMed Central

    Wahler, Robert G.; Fox, James J.

    1981-01-01

    The contributions of applied behavior analysis as a natural science approach to the study of human behavior are acknowledged. However, it is also argued that applied behavior analysis has provided limited access to the full range of environmental events that influence socially significant behavior. Recent changes in applied behavior analysis to include analysis of side effects and social validation represent ways in which the traditional applied behavior analysis conceptual and methodological model has been profitably expanded. A third area of expansion, the analysis of setting events, is proposed by the authors. The historical development of setting events as a behavior influence concept is traced. Modifications of the basic applied behavior analysis methodology and conceptual systems that seem necessary to setting event analysis are discussed and examples of descriptive and experimental setting event analyses are presented. PMID:16795646

  20. Exploratory and spatial data analysis (EDA-SDA) for determining regional background levels and anomalies of potentially toxic elements in soils from Catorce-Matehuala, Mexico

    USGS Publications Warehouse

    Chiprés, J.A.; Castro-Larragoitia, J.; Monroy, M.G.

    2009-01-01

    The threshold between geochemical background and anomalies can be influenced by the methodology selected for its estimation. Environmental evaluations, particularly those conducted in mineralized areas, must consider this when trying to determinate the natural geochemical status of a study area, quantifying human impacts, or establishing soil restoration values for contaminated sites. Some methods in environmental geochemistry incorporate the premise that anomalies (natural or anthropogenic) and background data are characterized by their own probabilistic distributions. One of these methods uses exploratory data analysis (EDA) on regional geochemical data sets coupled with a geographic information system (GIS) to spatially understand the processes that influence the geochemical landscape in a technique that can be called a spatial data analysis (SDA). This EDA-SDA methodology was used to establish the regional background range from the area of Catorce-Matehuala in north-central Mexico. Probability plots of the data, particularly for those areas affected by human activities, show that the regional geochemical background population is composed of smaller subpopulations associated with factors such as soil type and parent material. This paper demonstrates that the EDA-SDA method offers more certainty in defining thresholds between geochemical background and anomaly than a numeric technique, making it a useful tool for regional geochemical landscape analysis and environmental geochemistry studies.

  1. Current Human Reliability Analysis Methods Applied to Computerized Procedures

    SciTech Connect

    Ronald L. Boring

    2012-06-01

    Computerized procedures (CPs) are an emerging technology within nuclear power plant control rooms. While CPs have been implemented internationally in advanced control rooms, to date no US nuclear power plant has implemented CPs in its main control room (Fink et al., 2009). Yet, CPs are a reality of new plant builds and are an area of considerable interest to existing plants, which see advantages in terms of enhanced ease of use and easier records management by omitting the need for updating hardcopy procedures. The overall intent of this paper is to provide a characterization of human reliability analysis (HRA) issues for computerized procedures. It is beyond the scope of this document to propose a new HRA approach or to recommend specific methods or refinements to those methods. Rather, this paper serves as a review of current HRA as it may be used for the analysis and review of computerized procedures.

  2. Analysis of Facial Aesthetics as Applied to Injectables.

    PubMed

    Lam, Samuel M; Glasgold, Robert; Glasgold, Mark

    2015-11-01

    Understanding the role of volume loss in the aging face has resulted in a paradigm shift in facial rejuvenation techniques. Injectable materials for volume restoration are among the most widespread cosmetic procedures performed. A new approach to the aesthetics of facial aging is necessary to allow the greatest improvement from volumetric techniques while maintaining natural appearing results. Examining the face in terms of facial frames and facial shadows provides the fundamental basis for our injectable analysis.

  3. Applying hydraulic transient analysis: The Grizzly Hydro Project

    SciTech Connect

    Logan, T.H.; Stutsman, R.D. )

    1992-04-01

    No matter the size of the hydro plant, if it has a long waterway and will operate in peaking mode, the project designer needs to address the issue of hydraulic transients-known as water hammer-early in the design. This article describes the application of transient analysis to the design of a 20-MW hydro plant in California. In this case, a Howell Bunger valve was used as a pressure regulating valve to control transient pressures and speed rise.

  4. Exploratory space-time analysis of reported dengue cases during an outbreak in Florida, Puerto Rico, 1991-1992.

    PubMed

    Morrison, A C; Getis, A; Santiago, M; Rigau-Perez, J G; Reiter, P

    1998-03-01

    The spatial and temporal distributions of dengue cases reported during a 1991-1992 outbreak in Florida, Puerto Rico (population = 8,689), were studied by using a Geographic Information System. A total of 377 dengue cases were identified from a laboratory-based dengue surveillance system and georeferenced by their residential addresses on digital zoning and U.S. Geological Survey topographic maps. Weekly case maps were generated for the period between June and December 1991, when 94.2% of the dengue cases were reported. The temporal evolution of the epidemic was rapid, affecting a wide geographic area within seven weeks of the first reported cases of the season. Dengue cases were reported in 217 houses; of these 56 (25.8%) had between two and six reported cases. K-function analysis was used to characterize the spatial clustering patterns for all reported dengue cases (laboratory-positive and indeterminate) and laboratory-positive cases alone, while the Barton and David and Knox tests were used to characterize spatio-temporal attributes of dengue cases reported during the 1991-1992 outbreak. For both sets of data significant case clustering was identified within individual households over short periods of time (three days or less), but in general, the cases had spatial pattern characteristics much like the population pattern as a whole. The rapid temporal and spatial progress of the disease within the community suggests that control measures should be applied to the entire municipality, rather than to the areas immediately surrounding houses of reported cases. The potential for incorporating Geographic Information System technologies into a dengue surveillance system and the limitations of using surveillance data for spatial studies are discussed. PMID:9546405

  5. Harnessing Repetitive Behaviours to Engage Attention and Learning in a Novel Therapy for Autism: An Exploratory Analysis

    PubMed Central

    Chen, Grace Megumi; Yoder, Keith Jonathon; Ganzel, Barbara Lynn; Goodwin, Matthew S.; Belmonte, Matthew Kenneth

    2012-01-01

    Rigorous, quantitative examination of therapeutic techniques anecdotally reported to have been successful in people with autism who lack communicative speech will help guide basic science toward a more complete characterisation of the cognitive profile in this underserved subpopulation, and show the extent to which theories and results developed with the high-functioning subpopulation may apply. This study examines a novel therapy, the “Rapid Prompting Method” (RPM). RPM is a parent-developed communicative and educational therapy for persons with autism who do not speak or who have difficulty using speech communicatively. The technique aims to develop a means of interactive learning by pointing amongst multiple-choice options presented at different locations in space, with the aid of sensory “prompts” which evoke a response without cueing any specific response option. The prompts are meant to draw and to maintain attention to the communicative task – making the communicative and educational content coincident with the most physically salient, attention-capturing stimulus – and to extinguish the sensory–motor preoccupations with which the prompts compete. Video-recorded RPM sessions with nine autistic children ages 8–14 years who lacked functional communicative speech were coded for behaviours of interest. An analysis controlled for age indicates that exposure to the claimed therapy appears to support a decrease in repetitive behaviours and an increase in the number of multiple-choice response options without any decrease in successful responding. Direct gaze is not related to successful responding, suggesting that direct gaze might not be any advantage for this population and need not in all cases be a precondition to communication therapies. PMID:22355292

  6. Applying temporal network analysis to the venture capital market

    NASA Astrophysics Data System (ADS)

    Zhang, Xin; Feng, Ling; Zhu, Rongqian; Stanley, H. Eugene

    2015-10-01

    Using complex network theory to study the investment relationships of venture capital firms has produced a number of significant results. However, previous studies have often neglected the temporal properties of those relationships, which in real-world scenarios play a pivotal role. Here we examine the time-evolving dynamics of venture capital investment in China by constructing temporal networks to represent (i) investment relationships between venture capital firms and portfolio companies and (ii) the syndication ties between venture capital investors. The evolution of the networks exhibits rich variations in centrality, connectivity and local topology. We demonstrate that a temporal network approach provides a dynamic and comprehensive analysis of real-world networks.

  7. Applied analysis/computational mathematics. Final report 1993

    SciTech Connect

    Lax, P.; Berger, M.

    1993-12-01

    This is the final report for the Courant Mathematics and Computing Laboratory (CMCL) research program for the years 1991--1993. Our research efforts encompass the formulation of physical problems in terms of mathematical models (both old and new), the mathematical analysis of such models, and their numerical resolution. This last step involves the development and implementation of efficient methods for large scale computation. Our analytic and numerical work often go hand in hand; new theoretical approaches often have numerical counterparts, while numerical experimentation often suggests avenues for analytical investigation.

  8. Fundamental and Applied Investigations in Atomic Spectrometric Analysis

    NASA Astrophysics Data System (ADS)

    Wu, Min

    Simultaneous laser-excited fluorescence and absorption measurements were performed and the results have revealed that any interference caused by easily ionized elements does not originate from variations in analyte emission (quantum) efficiency. A closely related area, the roles of wet and dry aerosols in the matrix interference are clarified through spatially resolved imaging of the plasma by a charged coupled device camera. To eliminate matrix interference effects practically, various methods have been developed based on the above studies. The use of column pre-concentration with flow injection analysis has been found to provide a simple solution for reducing interference effects and increasing sensitivity of elemental analysis. A novel mini-spray chamber was invented. The new vertical rotary spray chamber combines gravitational, centrifugal, turbulent, and impact droplet segregation mechanisms to achieve a higher efficiency of small-droplet formation in a nebulized sample spray. As a result, it offers also higher sample-transport efficiency, lower memory effects, and improved analytical figures of merit over existing devices. This new device was employed with flow injection analysis to simulate an interface for coupling high performance liquid chromatography (HPLC) to a microwave plasma for chromatographic detection. The detection limits for common metallic elements are in the range of 5-50 mug/mL, and are degraded only twofold when the elements are presented in an organic solvent such as ethanol or methanol. Other sample-introduction schemes have also been investigated to improve sample-introduction technology. The direct coupling of hydride-generation techniques to the helium microwave plasma torch was evaluated for the determination of arsenic, antimony and tin by atomic emission spectrometry. A manually controlled peristaltic pump was modified for computer control and continuous flow injection was evaluated for standard calibration and trace elemental

  9. Exploratory Problems in Mathematics.

    ERIC Educational Resources Information Center

    Stevenson, Frederick W.

    This book attempts to introduce students to the creative aspects of mathematics through exploratory problems. The introduction presents the criteria for the selection of the problems in the book. Criteria indicate that problems should: be immediately attractive, require data to be generated or gathered, appeal to students from junior high school…

  10. Exploratory Business Curriculum Guide.

    ERIC Educational Resources Information Center

    Arkansas Univ., Fayetteville. Dept. of Vocational Education.

    This curriculum guide is designed for Arkansas ninth-grade students to explore business careers through the use of competency-based instructional materials. Exploratory business teachers are asked to incorporate the twenty-three units of study into a sequence best suited to their teaching style. Units include such topics as "Social Security,""What…

  11. Operational modal analysis applied to the concert harp

    NASA Astrophysics Data System (ADS)

    Chomette, B.; Le Carrou, J.-L.

    2015-05-01

    Operational modal analysis (OMA) methods are useful to extract modal parameters of operating systems. These methods seem to be particularly interesting to investigate the modal basis of string instruments during operation to avoid certain disadvantages due to conventional methods. However, the excitation in the case of string instruments is not optimal for OMA due to the presence of damped harmonic components and low noise in the disturbance signal. Therefore, the present study investigates the least-square complex exponential (LSCE) and the modified least-square complex exponential methods in the case of a string instrument to identify modal parameters of the instrument when it is played. The efficiency of the approach is experimentally demonstrated on a concert harp excited by some of its strings and the two methods are compared to a conventional modal analysis. The results show that OMA allows us to identify modes particularly present in the instrument's response with a good estimation especially if they are close to the excitation frequency with the modified LSCE method.

  12. Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering.

    PubMed

    Rodríguez-Sotelo, J L; Peluffo-Ordoñez, D; Cuesta-Frau, D; Castellanos-Domínguez, G

    2012-10-01

    The computer-assisted analysis of biomedical records has become an essential tool in clinical settings. However, current devices provide a growing amount of data that often exceeds the processing capacity of normal computers. As this amount of information rises, new demands for more efficient data extracting methods appear. This paper addresses the task of data mining in physiological records using a feature selection scheme. An unsupervised method based on relevance analysis is described. This scheme uses a least-squares optimization of the input feature matrix in a single iteration. The output of the algorithm is a feature weighting vector. The performance of the method was assessed using a heartbeat clustering test on real ECG records. The quantitative cluster validity measures yielded a correctly classified heartbeat rate of 98.69% (specificity), 85.88% (sensitivity) and 95.04% (general clustering performance), which is even higher than the performance achieved by other similar ECG clustering studies. The number of features was reduced on average from 100 to 18, and the temporal cost was a 43% lower than in previous ECG clustering schemes. PMID:22672933

  13. Multivariate calibration applied to the quantitative analysis of infrared spectra

    SciTech Connect

    Haaland, D.M.

    1991-01-01

    Multivariate calibration methods are very useful for improving the precision, accuracy, and reliability of quantitative spectral analyses. Spectroscopists can more effectively use these sophisticated statistical tools if they have a qualitative understanding of the techniques involved. A qualitative picture of the factor analysis multivariate calibration methods of partial least squares (PLS) and principal component regression (PCR) is presented using infrared calibrations based upon spectra of phosphosilicate glass thin films on silicon wafers. Comparisons of the relative prediction abilities of four different multivariate calibration methods are given based on Monte Carlo simulations of spectral calibration and prediction data. The success of multivariate spectral calibrations is demonstrated for several quantitative infrared studies. The infrared absorption and emission spectra of thin-film dielectrics used in the manufacture of microelectronic devices demonstrate rapid, nondestructive at-line and in-situ analyses using PLS calibrations. Finally, the application of multivariate spectral calibrations to reagentless analysis of blood is presented. We have found that the determination of glucose in whole blood taken from diabetics can be precisely monitored from the PLS calibration of either mind- or near-infrared spectra of the blood. Progress toward the non-invasive determination of glucose levels in diabetics is an ultimate goal of this research. 13 refs., 4 figs.

  14. Dynamical systems analysis applied to working memory data.

    PubMed

    Gasimova, Fidan; Robitzsch, Alexander; Wilhelm, Oliver; Boker, Steven M; Hu, Yueqin; Hülür, Gizem

    2014-01-01

    In the present paper we investigate weekly fluctuations in the working memory capacity (WMC) assessed over a period of 2 years. We use dynamical system analysis, specifically a second order linear differential equation, to model weekly variability in WMC in a sample of 112 9th graders. In our longitudinal data we use a B-spline imputation method to deal with missing data. The results show a significant negative frequency parameter in the data, indicating a cyclical pattern in weekly memory updating performance across time. We use a multilevel modeling approach to capture individual differences in model parameters and find that a higher initial performance level and a slower improvement at the MU task is associated with a slower frequency of oscillation. Additionally, we conduct a simulation study examining the analysis procedure's performance using different numbers of B-spline knots and values of time delay embedding dimensions. Results show that the number of knots in the B-spline imputation influence accuracy more than the number of embedding dimensions. PMID:25071657

  15. Dynamical systems analysis applied to working memory data

    PubMed Central

    Gasimova, Fidan; Robitzsch, Alexander; Wilhelm, Oliver; Boker, Steven M.; Hu, Yueqin; Hülür, Gizem

    2014-01-01

    In the present paper we investigate weekly fluctuations in the working memory capacity (WMC) assessed over a period of 2 years. We use dynamical system analysis, specifically a second order linear differential equation, to model weekly variability in WMC in a sample of 112 9th graders. In our longitudinal data we use a B-spline imputation method to deal with missing data. The results show a significant negative frequency parameter in the data, indicating a cyclical pattern in weekly memory updating performance across time. We use a multilevel modeling approach to capture individual differences in model parameters and find that a higher initial performance level and a slower improvement at the MU task is associated with a slower frequency of oscillation. Additionally, we conduct a simulation study examining the analysis procedure's performance using different numbers of B-spline knots and values of time delay embedding dimensions. Results show that the number of knots in the B-spline imputation influence accuracy more than the number of embedding dimensions. PMID:25071657

  16. Unsupervised feature relevance analysis applied to improve ECG heartbeat clustering.

    PubMed

    Rodríguez-Sotelo, J L; Peluffo-Ordoñez, D; Cuesta-Frau, D; Castellanos-Domínguez, G

    2012-10-01

    The computer-assisted analysis of biomedical records has become an essential tool in clinical settings. However, current devices provide a growing amount of data that often exceeds the processing capacity of normal computers. As this amount of information rises, new demands for more efficient data extracting methods appear. This paper addresses the task of data mining in physiological records using a feature selection scheme. An unsupervised method based on relevance analysis is described. This scheme uses a least-squares optimization of the input feature matrix in a single iteration. The output of the algorithm is a feature weighting vector. The performance of the method was assessed using a heartbeat clustering test on real ECG records. The quantitative cluster validity measures yielded a correctly classified heartbeat rate of 98.69% (specificity), 85.88% (sensitivity) and 95.04% (general clustering performance), which is even higher than the performance achieved by other similar ECG clustering studies. The number of features was reduced on average from 100 to 18, and the temporal cost was a 43% lower than in previous ECG clustering schemes.

  17. Synchronisation and coupling analysis: applied cardiovascular physics in sleep medicine.

    PubMed

    Wessel, Niels; Riedl, Maik; Kramer, Jan; Muller, Andreas; Penzel, Thomas; Kurths, Jurgen

    2013-01-01

    Sleep is a physiological process with an internal program of a number of well defined sleep stages and intermediate wakefulness periods. The sleep stages modulate the autonomous nervous system and thereby the sleep stages are accompanied by different regulation regimes for the cardiovascular and respiratory system. The differences in regulation can be distinguished by new techniques of cardiovascular physics. The number of patients suffering from sleep disorders increases unproportionally with the increase of the human population and aging, leading to very high expenses in the public health system. Therefore, the challenge of cardiovascular physics is to develop highly-sophisticated methods which are able to, on the one hand, supplement and replace expensive medical devices and, on the other hand, improve the medical diagnostics with decreasing the patient's risk. Methods of cardiovascular physics are used to analyze heart rate, blood pressure and respiration to detect changes of the autonomous nervous system in different diseases. Data driven modeling analysis, synchronization and coupling analysis and their applications to biosignals in healthy subjects and patients with different sleep disorders are presented. Newly derived methods of cardiovascular physics can help to find indicators for these health risks.

  18. Sensitivity and uncertainty analysis applied to the JHR reactivity prediction

    SciTech Connect

    Leray, O.; Vaglio-Gaudard, C.; Hudelot, J. P.; Santamarina, A.; Noguere, G.; Di-Salvo, J.

    2012-07-01

    The on-going AMMON program in EOLE reactor at CEA Cadarache (France) provides experimental results to qualify the HORUS-3D/N neutronics calculation scheme used for the design and safety studies of the new Material Testing Jules Horowitz Reactor (JHR). This paper presents the determination of technological and nuclear data uncertainties on the core reactivity and the propagation of the latter from the AMMON experiment to JHR. The technological uncertainty propagation was performed with a direct perturbation methodology using the 3D French stochastic code TRIPOLI4 and a statistical methodology using the 2D French deterministic code APOLLO2-MOC which leads to a value of 289 pcm (1{sigma}). The Nuclear Data uncertainty propagation relies on a sensitivity study on the main isotopes and the use of a retroactive marginalization method applied to the JEFF 3.1.1 {sup 27}Al evaluation in order to obtain a realistic multi-group covariance matrix associated with the considered evaluation. This nuclear data uncertainty propagation leads to a K{sub eff} uncertainty of 624 pcm for the JHR core and 684 pcm for the AMMON reference configuration core. Finally, transposition and reduction of the prior uncertainty were made using the Representativity method which demonstrates the similarity of the AMMON experiment with JHR (the representativity factor is 0.95). The final impact of JEFF 3.1.1 nuclear data on the Begin Of Life (BOL) JHR reactivity calculated by the HORUS-3D/N V4.0 is a bias of +216 pcm with an associated posterior uncertainty of 304 pcm (1{sigma}). (authors)

  19. Applying Skinner's analysis of verbal behavior to persons with dementia.

    PubMed

    Dixon, Mark; Baker, Jonathan C; Sadowski, Katherine Ann

    2011-03-01

    Skinner's 1957 analysis of verbal behavior has demonstrated a fair amount of utility to teach language to children with autism and other various disorders. However, the learning of language can be forgotten, as is the case for many elderly suffering from dementia or other degenerative diseases. It appears possible that Skinner's operants may facilitate not only acquisition of language but also the ability to recall items or objects that may have appeared to be "forgotten." The present study examined the utility of having a series of adults in long-term care emit tacts, echoics, or intraverbals upon presentation of various visual stimuli. Compared to a no-verbal response condition, it appears that the incorporation of Skinner's verbal operants can in fact improve recall for this population. Implications for the retraining of lost language are presented. PMID:21292058

  20. Downside Risk analysis applied to the Hedge Funds universe

    NASA Astrophysics Data System (ADS)

    Perelló, Josep

    2007-09-01

    Hedge Funds are considered as one of the portfolio management sectors which shows a fastest growing for the past decade. An optimal Hedge Fund management requires an appropriate risk metrics. The classic CAPM theory and its Ratio Sharpe fail to capture some crucial aspects due to the strong non-Gaussian character of Hedge Funds statistics. A possible way out to this problem while keeping the CAPM simplicity is the so-called Downside Risk analysis. One important benefit lies in distinguishing between good and bad returns, that is: returns greater or lower than investor's goal. We revisit most popular Downside Risk indicators and provide new analytical results on them. We compute these measures by taking the Credit Suisse/Tremont Investable Hedge Fund Index Data and with the Gaussian case as a benchmark. In this way, an unusual transversal lecture of the existing Downside Risk measures is provided.

  1. Applying Machine Learning to GlueX Data Analysis

    NASA Astrophysics Data System (ADS)

    Boettcher, Thomas

    2014-03-01

    GlueX is a high energy physics experiment with the goal of collecting data necessary for understanding confinement in quantum chromodynamics. Beginning in 2015, GlueX will collect huge amounts of data describing billions of particle collisions. In preparation for data collection, efforts are underway to develop a methodology for analyzing these large data sets. One of the primary challenges in GlueX data analysis is isolating events of interest from a proportionally large background. GlueX has recently begun approaching this selection problem using machine learning algorithms, specifically boosted decision trees. Preliminary studies indicate that these algorithms have the potential to offer vast improvements in both signal selection efficiency and purity over more traditional techniques.

  2. Naming, the formation of stimulus classes, and applied behavior analysis.

    PubMed Central

    Stromer, R; Mackay, H A; Remington, B

    1996-01-01

    The methods used in Sidman's original studies on equivalence classes provide a framework for analyzing functional verbal behavior. Sidman and others have shown how teaching receptive, name-referent matching may produce rudimentary oral reading and word comprehension skills. Eikeseth and Smith (1992) have extended these findings by showing that children with autism may acquire equivalence classes after learning to supply a common oral name to each stimulus in a potential class. A stimulus class analysis suggests ways to examine (a) the problem of programming generalization from teaching situations to other environments, (b) the expansion of the repertoires that occur in those settings, and (c) the use of naming to facilitate these forms of generalization. Such research will help to clarify and extend Horne and Lowe's recent (1996) account of the role of verbal behavior in the formation of stimulus classes. PMID:8810064

  3. Fractographic principles applied to Y-TZP mechanical behavior analysis.

    PubMed

    Ramos, Carla Müller; Cesar, Paulo Francisco; Bonfante, Estevam Augusto; Rubo, José Henrique; Wang, Linda; Borges, Ana Flávia Sanches

    2016-04-01

    The purpose of this study was to evaluate the use of fractography principles to determine the fracture toughness of Y-TZP dental ceramic in which KIc was measured fractographically using controlled-flaw beam bending techniques and to correlate the flaw distribution with the mechanical properties. The Y-TZP blocks studied were: Zirconia Zirklein (ZZ); Zirconcad (ZCA); IPS e.max ZirCad (ZMAX); and In Ceram YZ (ZYZ). Samples were prepared (16mm×4mm×2mm) according to ISO 6872 specifications and subjected to three-point bending at a crosshead speed of 0.5mm/min. Weibull probability curves (95% confidence bounds) were calculated and a contour plot with the Weibull modulus (m) versus characteristic strength (σ0) was used to examine the differences among groups. The fractured surface of each specimen was inspected in a scanning electron microscope (SEM) for qualitative and quantitative fractographic analysis. The critical defect size (c) and fracture toughness (KIc) were estimated. The fractured surfaces of the samples from all groups showed similar fractographic characteristics, except ZCA showed pores and defects. Fracture toughness and the flexural strength values were not different among the groups except for ZCA. The characteristic strength (p<0.05) of ZZ (η=920.4) was higher than the ZCA (η=651.1) and similar to the ZMAX (η=983.6) and ZYZ (η=1054.8). By means of quantitative and qualitative fractographic analysis, this study showed fracture toughness and strength that could be correlated to the observable microstructural features of the evaluated zirconia polycrystalline ceramics. PMID:26722988

  4. Exploring the Potential of a School Impact on Pupil Weight Status: Exploratory Factor Analysis and Repeat Cross-Sectional Study of the National Child Measurement Programme

    PubMed Central

    Williams, Andrew James; Wyatt, Katrina M.; Williams, Craig A.; Logan, Stuart; Henley, William E.

    2015-01-01

    Schools are common sites for obesity prevention interventions. Although many theories suggest that the school context influences weight status, there has been little empirical research. The objective of this study was to explore whether features of the school context were consistently and meaningfully associated with pupil weight status (overweight or obese). Exploratory factor analysis of routinely collected data on 319 primary schools in Devon, England, was used to identify possible school-based contextual factors. Repeated cross-sectional multilevel analysis of five years (2006/07-2010/11) of data from the National Child Measurement Programme was then used to test for consistent and meaningful associations. Four school-based contextual factors were derived which ranked schools according to deprivation, location, resource and prioritisation of physical activity. None of which were meaningfully and consistently associated with pupil weight status, across the five years. The lack of consistent associations between the factors and pupil weight status suggests that the school context is not inherently obesogenic. In contrast, incorporating findings from education research indicates that schools may be equalising weight status, and obesity prevention research, policy and practice might need to address what is happening outside schools and particularly during the school holidays. PMID:26700027

  5. The impact of applied behavior analysis on diverse areas of research.

    PubMed

    Kazdin, A E

    1975-01-01

    The impact of applied behavior analysis on various disciplines and areas of research was assessed through two major analyses. First, the relationship of applied behavior analysis to the general area of "behavior modification" was evaluated by examining the citation characteristics of journal articles in JABA and three other behavior-modification journals. Second, the penetration of applied behavior analysis into diverse areas and disciplines, including behavior modification, psychiatry, clinical psychology, education, special education, retardation, speech and hearing, counselling, and law enforcement and correction was assessed. Twenty-five journals representing diverse research areas were evaluated from 1968 to 1974 to assess the extent to which operant techniques were applied for therapeutic, rehabilitative, and educative purposes and the degree to which methodological desiderata of applied behavior analysis were met. The analyses revealed diverse publication outlets for applied behavior analysis in various disciplines.

  6. Applying data mining for the analysis of breast cancer data.

    PubMed

    Liou, Der-Ming; Chang, Wei-Pin

    2015-01-01

    Data mining, also known as Knowledge-Discovery in Databases (KDD), is the process of automatically searching large volumes of data for patterns. For instance, a clinical pattern might indicate a female who have diabetes or hypertension are easier suffered from stroke for 5 years in a future. Then, a physician can learn valuable knowledge from the data mining processes. Here, we present a study focused on the investigation of the application of artificial intelligence and data mining techniques to the prediction models of breast cancer. The artificial neural network, decision tree, logistic regression, and genetic algorithm were used for the comparative studies and the accuracy and positive predictive value of each algorithm were used as the evaluation indicators. 699 records acquired from the breast cancer patients at the University of Wisconsin, nine predictor variables, and one outcome variable were incorporated for the data analysis followed by the tenfold cross-validation. The results revealed that the accuracies of logistic regression model were 0.9434 (sensitivity 0.9716 and specificity 0.9482), the decision tree model 0.9434 (sensitivity 0.9615, specificity 0.9105), the neural network model 0.9502 (sensitivity 0.9628, specificity 0.9273), and the genetic algorithm model 0.9878 (sensitivity 1, specificity 0.9802). The accuracy of the genetic algorithm was significantly higher than the average predicted accuracy of 0.9612. The predicted outcome of the logistic regression model was higher than that of the neural network model but no significant difference was observed. The average predicted accuracy of the decision tree model was 0.9435 which was the lowest of all four predictive models. The standard deviation of the tenfold cross-validation was rather unreliable. This study indicated that the genetic algorithm model yielded better results than other data mining models for the analysis of the data of breast cancer patients in terms of the overall accuracy of

  7. Applied Climate-Change Analysis: The Climate Wizard Tool

    PubMed Central

    Girvetz, Evan H.; Zganjar, Chris; Raber, George T.; Maurer, Edwin P.; Kareiva, Peter; Lawler, Joshua J.

    2009-01-01

    Background Although the message of “global climate change” is catalyzing international action, it is local and regional changes that directly affect people and ecosystems and are of immediate concern to scientists, managers, and policy makers. A major barrier preventing informed climate-change adaptation planning is the difficulty accessing, analyzing, and interpreting climate-change information. To address this problem, we developed a powerful, yet easy to use, web-based tool called Climate Wizard (http://ClimateWizard.org) that provides non-climate specialists with simple analyses and innovative graphical depictions for conveying how climate has and is projected to change within specific geographic areas throughout the world. Methodology/Principal Findings To demonstrate the Climate Wizard, we explored historic trends and future departures (anomalies) in temperature and precipitation globally, and within specific latitudinal zones and countries. We found the greatest temperature increases during 1951–2002 occurred in northern hemisphere countries (especially during January–April), but the latitude of greatest temperature change varied throughout the year, sinusoidally ranging from approximately 50°N during February-March to 10°N during August-September. Precipitation decreases occurred most commonly in countries between 0–20°N, and increases mostly occurred outside of this latitudinal region. Similarly, a quantile ensemble analysis based on projections from 16 General Circulation Models (GCMs) for 2070–2099 identified the median projected change within countries, which showed both latitudinal and regional patterns in projected temperature and precipitation change. Conclusions/Significance The results of these analyses are consistent with those reported by the Intergovernmental Panel on Climate Change, but at the same time, they provide examples of how Climate Wizard can be used to explore regionally- and temporally-specific analyses of climate

  8. Education in Old Age: An Exploratory Study

    ERIC Educational Resources Information Center

    Luppi, Elena

    2009-01-01

    The following work outlines an analysis of education initiatives aimed at the elderly. It examines the characteristics of the old aged learner, his/her "educability" and the foundations for an educational approach for this age group. These theoretical assumptions form the basis of this research: an exploratory study into various educational and…

  9. Measuring Group Dynamics: An Exploratory Trial

    ERIC Educational Resources Information Center

    Phan, Loan T.; Rivera, Edil Torres; Volker, Martin A.; Garrett, Michael T.

    2004-01-01

    This article reports on the development of a scale used to assess and measure group dynamics during group supervision counselling courses (practicum and internship). A 20-item Likert-type scale was administered to 200 counsellors-in-training master's students. Reliability and validity data are described. An exploratory factor analysis yielded…

  10. Applied and computational harmonic analysis on graphs and networks

    NASA Astrophysics Data System (ADS)

    Irion, Jeff; Saito, Naoki

    2015-09-01

    In recent years, the advent of new sensor technologies and social network infrastructure has provided huge opportunities and challenges for analyzing data recorded on such networks. In the case of data on regular lattices, computational harmonic analysis tools such as the Fourier and wavelet transforms have well-developed theories and proven track records of success. It is therefore quite important to extend such tools from the classical setting of regular lattices to the more general setting of graphs and networks. In this article, we first review basics of graph Laplacian matrices, whose eigenpairs are often interpreted as the frequencies and the Fourier basis vectors on a given graph. We point out, however, that such an interpretation is misleading unless the underlying graph is either an unweighted path or cycle. We then discuss our recent effort of constructing multiscale basis dictionaries on a graph, including the Hierarchical Graph Laplacian Eigenbasis Dictionary and the Generalized Haar-Walsh Wavelet Packet Dictionary, which are viewed as generalizations of the classical hierarchical block DCTs and the Haar-Walsh wavelet packets, respectively, to the graph setting. Finally, we demonstrate the usefulness of our dictionaries by using them to simultaneously segment and denoise 1-D noisy signals sampled on regular lattices, a problem where classical tools have difficulty.

  11. Ion Beam Analysis applied to laser-generated plasmas

    NASA Astrophysics Data System (ADS)

    Cutroneo, M.; Macková, A.; Havranek, V.; Malinsky, P.; Torrisi, L.; Kormunda, M.; Barchuk, M.; Ullschmied, J.; Dudzak, R.

    2016-04-01

    This paper presents the research activity on Ion Beam Analysis methods performed at Tandetron Laboratory (LT) of the Institute of Nuclear Physics AS CR, Rez, Czech Republic. Recently, many groups are paying attention to implantation by laser generated plasma. This process allows to insert a controllable amount of energetic ions into the surface layers of different materials modifying the physical and chemical properties of the surface material. Different substrates are implanted by accelerated ions from plasma through terawatt iodine laser, at nominal intensity of 1015 W/cm2, at the PALS Research Infrastructure AS CR, in the Czech Republic. This regime of the laser matter interaction generates, multi-MeV proton beams, and multi-charged ions that are tightly confined in time (hundreds ps) and space (source radius of a few microns). These ion beams have a much lower transverse temperature, a much shorter duration and a much higher current than those obtainable from conventional accelerators. The implementation of protons and ions acceleration driven by ultra-short high intensity lasers is exhibited by adopting suitable irradiation conditions as well as tailored targets. An overview of implanted targets and their morphological and structural characterizations is presented and discussed.

  12. Improving the flash flood frequency analysis applying dendrogeomorphological evidences

    NASA Astrophysics Data System (ADS)

    Ruiz-Villanueva, V.; Ballesteros, J. A.; Bodoque, J. M.; Stoffel, M.; Bollschweiler, M.; Díez-Herrero, A.

    2009-09-01

    Flash floods are one of the natural hazards that cause major damages worldwide. Especially in Mediterranean areas they provoke high economic losses every year. In mountain areas with high stream gradients, floods events are characterized by extremely high flow and debris transport rates. Flash flood analysis in mountain areas presents specific scientific challenges. On one hand, there is a lack of information on precipitation and discharge due to a lack of spatially well distributed gauge stations with long records. On the other hand, gauge stations may not record correctly during extreme events when they are damaged or the discharge exceeds the recordable level. In this case, no systematic data allows improvement of the understanding of the spatial and temporal occurrence of the process. Since historic documentation is normally scarce or even completely missing in mountain areas, tree-ring analysis can provide an alternative approach. Flash floods may influence trees in different ways: (1) tilting of the stem through the unilateral pressure of the flowing mass or individual boulders; (2) root exposure through erosion of the banks; (3) injuries and scars caused by boulders and wood transported in the flow; (4) decapitation of the stem and resulting candelabra growth through the severe impact of boulders; (5) stem burial through deposition of material. The trees react to these disturbances with specific growth changes such as abrupt change of the yearly increment and anatomical changes like reaction wood or callus tissue. In this study, we sampled 90 cross sections and 265 increment cores of trees heavily affected by past flash floods in order to date past events and to reconstruct recurrence intervals in two torrent channels located in the Spanish Central System. The first study site is located along the Pelayo River, a torrent in natural conditions. Based on the external disturbances of trees and their geomorphological position, 114 Pinus pinaster (Ait

  13. Applied Drama and the Higher Education Learning Spaces: A Reflective Analysis

    ERIC Educational Resources Information Center

    Moyo, Cletus

    2015-01-01

    This paper explores Applied Drama as a teaching approach in Higher Education learning spaces. The exploration takes a reflective analysis approach by first examining the impact that Applied Drama has had on my career as a Lecturer/Educator/Teacher working in Higher Education environments. My engagement with Applied Drama practice and theory is…

  14. Maximum likelihood estimation applied to multiepoch MEG/EEG analysis

    NASA Astrophysics Data System (ADS)

    Baryshnikov, Boris V.

    A maximum likelihood based algorithm for reducing the effects of spatially colored noise in evoked response MEG and EEG experiments is presented. The signal of interest is modeled as the low rank mean, while the noise is modeled as a Kronecker product of spatial and temporal covariance matrices. The temporal covariance is assumed known, while the spatial covariance is estimated as part of the algorithm. In contrast to prestimulus based whitening followed by principal component analysis, our algorithm does not require signal-free data for noise whitening and thus is more effective with non-stationary noise and produces better quality whitening for a given data record length. The efficacy of this approach is demonstrated using simulated and real MEG data. Next, a study in which we characterize MEG cortical response to coherent vs. incoherent motion is presented. It was found that coherent motion of the object induces not only an early sensory response around 180 ms relative to the stimulus onset but also a late field in the 250--500 ms range that has not been observed previously in similar random dot kinematogram experiments. The late field could not be resolved without signal processing using the maximum likelihood algorithm. The late activity localized to parietal areas. This is what would be expected. We believe that the late field corresponds to higher order processing related to the recognition of the moving object against the background. Finally, a maximum likelihood based dipole fitting algorithm is presented. It is suitable for dipole fitting of evoked response MEG data in the presence of spatially colored noise. The method exploits the temporal multiepoch structure of the evoked response data to estimate the spatial noise covariance matrix from the section of data being fit, eliminating the stationarity assumption implicit in prestimulus based whitening approaches. The preliminary results of the application of this algorithm to the simulated data show its

  15. Beyond Time Out and Table Time: Today's Applied Behavior Analysis for Students with Autism

    ERIC Educational Resources Information Center

    Boutot, E. Amanda; Hume, Kara

    2010-01-01

    Recent mandates related to the implementation of evidence-based practices for individuals with autism spectrum disorder (ASD) require that autism professionals both understand and are able to implement practices based on the science of applied behavior analysis (ABA). The use of the term "applied behavior analysis" and its related concepts…

  16. Negative Effects of Psychological Treatments: An Exploratory Factor Analysis of the Negative Effects Questionnaire for Monitoring and Reporting Adverse and Unwanted Events

    PubMed Central

    Kottorp, Anders; Boettcher, Johanna; Andersson, Gerhard; Carlbring, Per

    2016-01-01

    Research conducted during the last decades has provided increasing evidence for the use of psychological treatments for a number of psychiatric disorders and somatic complaints. However, by focusing only on the positive outcomes, less attention has been given to the potential of negative effects. Despite indications of deterioration and other adverse and unwanted events during treatment, little is known about their occurrence and characteristics. Hence, in order to facilitate research of negative effects, a new instrument for monitoring and reporting their incidence and impact was developed using a consensus among researchers, self-reports by patients, and a literature review: the Negative Effects Questionnaire. Participants were recruited via a smartphone-delivered self-help treatment for social anxiety disorder and through the media (N = 653). An exploratory factor analysis was performed, resulting in a six-factor solution with 32 items, accounting for 57.64% of the variance. The derived factors were: symptoms, quality, dependency, stigma, hopelessness, and failure. Items related to unpleasant memories, stress, and anxiety were experienced by more than one-third of the participants. Further, increased or novel symptoms, as well as lack of quality in the treatment and therapeutic relationship rendered the highest self-reported negative impact. In addition, the findings were discussed in relation to prior research and other similar instruments of adverse and unwanted events, giving credence to the items that are included. The instrument is presently available in eleven different languages and can be freely downloaded and used from www.neqscale.com. PMID:27331907

  17. Negative Effects of Psychological Treatments: An Exploratory Factor Analysis of the Negative Effects Questionnaire for Monitoring and Reporting Adverse and Unwanted Events.

    PubMed

    Rozental, Alexander; Kottorp, Anders; Boettcher, Johanna; Andersson, Gerhard; Carlbring, Per

    2016-01-01

    Research conducted during the last decades has provided increasing evidence for the use of psychological treatments for a number of psychiatric disorders and somatic complaints. However, by focusing only on the positive outcomes, less attention has been given to the potential of negative effects. Despite indications of deterioration and other adverse and unwanted events during treatment, little is known about their occurrence and characteristics. Hence, in order to facilitate research of negative effects, a new instrument for monitoring and reporting their incidence and impact was developed using a consensus among researchers, self-reports by patients, and a literature review: the Negative Effects Questionnaire. Participants were recruited via a smartphone-delivered self-help treatment for social anxiety disorder and through the media (N = 653). An exploratory factor analysis was performed, resulting in a six-factor solution with 32 items, accounting for 57.64% of the variance. The derived factors were: symptoms, quality, dependency, stigma, hopelessness, and failure. Items related to unpleasant memories, stress, and anxiety were experienced by more than one-third of the participants. Further, increased or novel symptoms, as well as lack of quality in the treatment and therapeutic relationship rendered the highest self-reported negative impact. In addition, the findings were discussed in relation to prior research and other similar instruments of adverse and unwanted events, giving credence to the items that are included. The instrument is presently available in eleven different languages and can be freely downloaded and used from www.neqscale.com.

  18. An Exploratory Factor Analysis of a Brief Self-Report Scale to Detect Neurocognitive Impairment Among Participants Enrolled in Methadone Maintenance Therapy.

    PubMed

    Copenhaver, Michael; Shrestha, Roman; Wickersham, Jeffrey A; Weikum, Damian; Altice, Frederick L

    2016-04-01

    The present study examines the factor structure of the existing Neuropsychological Impairment Scale (NIS) through the use of exploratory factor analysis (EFA). The NIS is a brief, self-report measure originally designed to assess neurocognitive impairment (NCI) by having patients rate a range of items that may influence cognitive functioning. Stabilized patients on methadone maintenance therapy (MMT; N=339) in New Haven, CT who reported drug- or sex-related HIV risk behaviors in the past 6 months were administered the full 95-item NIS. An EFA was then conducted using principal axis factoring and orthogonal varimax rotation. The EFA resulted in retaining 57 items, with a 9-factor solution that explained 54.8% of the overall variance. The revised 9-factor measure--now referred to as the Brief Inventory of Neuro-cognitive Impairment (BINI)--showed a diverse set of factors with excellent to good reliability (i.e., F1 α=0.97 to F9 α=0.73). This EFA suggests the potential utility of using the BINI in the context of addiction treatment. Further research should examine the utility of this tool within other clinical care settings.

  19. Negative Effects of Psychological Treatments: An Exploratory Factor Analysis of the Negative Effects Questionnaire for Monitoring and Reporting Adverse and Unwanted Events.

    PubMed

    Rozental, Alexander; Kottorp, Anders; Boettcher, Johanna; Andersson, Gerhard; Carlbring, Per

    2016-01-01

    Research conducted during the last decades has provided increasing evidence for the use of psychological treatments for a number of psychiatric disorders and somatic complaints. However, by focusing only on the positive outcomes, less attention has been given to the potential of negative effects. Despite indications of deterioration and other adverse and unwanted events during treatment, little is known about their occurrence and characteristics. Hence, in order to facilitate research of negative effects, a new instrument for monitoring and reporting their incidence and impact was developed using a consensus among researchers, self-reports by patients, and a literature review: the Negative Effects Questionnaire. Participants were recruited via a smartphone-delivered self-help treatment for social anxiety disorder and through the media (N = 653). An exploratory factor analysis was performed, resulting in a six-factor solution with 32 items, accounting for 57.64% of the variance. The derived factors were: symptoms, quality, dependency, stigma, hopelessness, and failure. Items related to unpleasant memories, stress, and anxiety were experienced by more than one-third of the participants. Further, increased or novel symptoms, as well as lack of quality in the treatment and therapeutic relationship rendered the highest self-reported negative impact. In addition, the findings were discussed in relation to prior research and other similar instruments of adverse and unwanted events, giving credence to the items that are included. The instrument is presently available in eleven different languages and can be freely downloaded and used from www.neqscale.com. PMID:27331907

  20. EpiHosp: A web-based visualization tool enabling the exploratory analysis of complications of implantable medical devices from a nationwide hospital database.

    PubMed

    Ficheur, Grégoire; Ferreira Careira, Lionel; Beuscart, Régis; Chazard, Emmanuel

    2015-01-01

    Administrative data can be used for the surveillance of the outcomes of implantable medical devices (IMDs). The objective of this work is to build a web-based tool allowing for an exploratory analysis of time-dependent events that may occur after the implementation of an IMD. This tool should enable a pharmacoepidemiologist to explore on the fly the relationship between a given IMD and a potential outcome. This tool mine the French nationwide database of inpatient stays from 2008 to 2013. The data are preprocessed in order to optimize the queries. A web tool is developed in PHP, MySQL and Javascript. The user selects one or a group of IMD from a tree, and can filter the results using years and hospital names. Four result pages describe the selected inpatient stays: (1) temporal and demographic description, (2) a description of the geographical location of the hospital, (3) a description of the geographical place of residence of the patient and (4) a table showing the rehospitalization reasons by decreasing order of frequency. Then, the user can select one readmission reason and display dynamically the probability of readmission by mean of a Kaplan-Meier curve with confidence intervals. This tool enables to dynamically monitor the occurrence of time-dependent complications of IMD. PMID:25991176

  1. An exploratory factor analysis of the Parenting strategies for Eating and physical Activity Scale (PEAS) for use in Hispanic mothers of adolescent and preadolescent daughters with overweight.

    PubMed

    Matthews-Ewald, Molly R; Posada, Alexandria; Wiesner, Margit; Olvera, Norma

    2015-12-01

    Existing measures of feeding and physical activity parenting strategies have not been validated for use among Hispanic mothers of adolescent and preadolescent daughters with overweight. The purpose of this study was to investigate the factor structure of the Parenting strategies for Eating and Activity Scale (PEAS) among 134 Hispanic mothers (Mage=38.81, SD±6.34) of adolescent and preadolescent daughters with overweight. Results from this exploratory study revealed that a three-factor structure (Limit Setting, Monitoring, and Discipline) and a 13-item revised PEAS measure might be better suited for use with this population. The revised Limit Setting, Monitoring, Discipline, and total subscales had good reliability (α=0.89, α=0.88, α=0.90, and α=0.87, respectively) and the subscale inter-item correlations were strong. To assess the concurrent validity, the revised PEAS subscales were correlated with both subscales of the Behavioral Strategies to Reduce Fat and Increase Fiber (Parent Report) in a subset of the sample (n=78). The Monitoring and Discipline subscales were found to be correlated with the Behavioral Strategies to Reduce Fat (r=.36 and r=.27, p<.05, respectively) and Increase Fiber (r=.40 and r=.35, p<.01, respectively) subscales. However, the revised PEAS Limit Setting subscale was not correlated with either Reduce Fat or Increase Fiber strategy. Taken together, these results indicated some degree of concurrent validity. Results from this study should be cross-validated using confirmatory factor analysis approaches.

  2. Visual analysis as a method of interpretation of the results of satellite ionospheric measurements for exploratory problems

    NASA Astrophysics Data System (ADS)

    Korneva, N. N.; Mogilevskii, M. M.; Nazarov, V. N.

    2016-05-01

    Traditional methods of time series analysis of satellite ionospheric measurements have some limitations and disadvantages that are mainly associated with the complex nonstationary signal structure. In this paper, the possibility of identifying and studying the temporal characteristics of signals via visual analysis is considered. The proposed approach is illustrated by the example of the visual analysis of wave measurements on the DEMETER microsatellite during its passage over the HAARP facility.

  3. Dietary Patterns Derived Using Exploratory and Confirmatory Factor Analysis are Stable and Generalizable Across Race, Region, and Gender Subgroups in the REGARDS Study

    PubMed Central

    Judd, Suzanne E.; Letter, Abraham J.; Shikany, James M.; Roth, David L.; Newby, P. K.

    2015-01-01

    Background: Examining diet as a whole using dietary patterns as exposures is a complementary method to using single food or nutrients in studies of diet and disease, but the generalizability of intake patterns across race, region, and gender in the United States has not been established. Objective: To employ rigorous statistical analysis to empirically derive dietary patterns in a large bi-racial, geographically diverse population and examine whether results are stable across population subgroups. Design: The present analysis utilized data from 21,636 participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study who completed the Block 98 food frequency questionnaire. We employed exploratory factor analysis and confirmatory factor analyses on 56 different food groups iteratively and examined differences by race, region, and sex to determine the optimal factor solution in our sample. Results: Five dietary patterns emerged: the “Convenience” pattern was characterized by mixed dishes; the “Plant-based” pattern by fruits, vegetables, and fish; the “Sweets/Fats” pattern by sweet snacks, desserts, and fats and oils; the “Southern” pattern by fried foods, organ meat, and sweetened beverages; and the “Alcohol/Salads” pattern by beer, wine, liquor, and salads. Differences were most pronounced in the Southern pattern with black participants, those residing in the Southeast, and participants not completing high school having the highest scores. Conclusion: Five meaningful dietary patterns emerged in the REGARDS study and showed strong congruence across race, sex, and region. Future research will examine associations between these patterns and health outcomes to better understand racial disparities in disease and inform prevention efforts. PMID:25988129

  4. Excavationless Exterior Foundation Insulation Exploratory Study

    SciTech Connect

    Mosimann, Garrett; Wagner, Rachel; Schirber, Tom

    2013-02-01

    The key objective of this exploratory study was to investigate the feasibility of the development or adoption of technologies that would enable a large percentage of existing homes in cold climates to apply a combination 'excavationless' soil removal process with appropriate insulation and water management on the exterior of existing foundations at a low cost. Our approach was to explore existing excavation and material technologies and systems to discover whether potential successful combinations existed.

  5. Economic analysis of temperature reduction in a large river floodplain: An exploratory study of the WIllamette River, Oregon

    EPA Science Inventory

    This paper examines ecosystem restoration practices that focus on water temperature reductions in the upper mainstem Willamette River, Oregon, for the benefit of endangered salmonids and other native cold-water species. The analysis integrates hydrologic, natural science and eco...

  6. Exploratory analysis of voxel size effects on CT measurements of situation characteristics of type point-to-point distance

    NASA Astrophysics Data System (ADS)

    Fernandes, T. L.; Donatelli, G. D.; Baldo, C. R.

    2016-07-01

    In recent years, computed tomography (CT) has been applied as an industrial metrology tool for the dimensional evaluation of visible and even hidden features of production parts in a non-destructive manner. Considering the experimental findings of a recent work of the authors, this paper deals with the effect of voxel size on measuring distances between feature-of-size centers, which would be less sensitive to edge offset errors. Particular attention is given to the design of experiment and to the measurement uncertainty sources. The most significant experimental findings are outlined and discussed in this paper.

  7. [Ecological risk assessment of land use based on exploratory spatial data analysis (ESDA): a case study of Haitan Island, Fujian Province].

    PubMed

    Wu, Jian; Chen, Peng; Wen, Chao-Xiang; Fu, Shi-Feng; Chen, Qing-Hui

    2014-07-01

    As a novel environment management tool, ecological risk assessment has provided a new perspective for the quantitative evaluation of ecological effects of land-use change. In this study, Haitan Island in Fujian Province was taken as a case. Based on the Landsat TM obtained in 1990, SPOT5 RS images obtained in 2010, general layout planning map of Pingtan Comprehensive Experimental Zone in 2030, as well as the field investigation data, we established an ecological risk index to measure ecological endpoints. By using spatial autocorrelation and semivariance analysis of Exploratory Spatial Data Analysis (ESDA), the ecological risk of Haitan Island under different land-use situations was assessed, including the past (1990), present (2010) and future (2030), and the potential risk and its changing trend were analyzed. The results revealed that the ecological risk index showed obvious scale effect, with strong positive correlation within 3000 meters. High-high (HH) and low-low (LL) aggregations were predominant types in spatial distribution of ecological risk index. The ecological risk index showed significant isotropic characteristics, and its spatial distribution was consistent with Anselin Local Moran I (LISA) distribution during the same period. Dramatic spatial distribution change of each ecological risk area was found among 1990, 2010 and 2030, and the fluctuation trend and amplitude of different ecological risk areas were diverse. The low ecological risk area showed a rise-to-fall trend while the medium and high ecological risk areas showed a fall-to-rise trend. In the planning period, due to intensive anthropogenic disturbance, the high ecological risk area spread throughout the whole region. To reduce the ecological risk in land-use and maintain the regional ecological security, the following ecological risk control strategies could be adopted, i.e., optimizing the spatial pattern of land resources, protecting the key ecoregions and controlling the scale of

  8. 5-Nitro-2-furfuriliden derivatives as potential anti-Trypanosoma cruzi agents: design, synthesis, bioactivity evaluation, cytotoxicity and exploratory data analysis.

    PubMed

    Palace-Berl, Fanny; Jorge, Salomão Dória; Pasqualoto, Kerly Fernanda Mesquita; Ferreira, Adilson Kleber; Maria, Durvanei Augusto; Zorzi, Rodrigo Rocha; de Sá Bortolozzo, Leandro; Lindoso, José Ângelo Lauletta; Tavares, Leoberto Costa

    2013-09-01

    The anti-Trypanosoma cruzi activity of 5-nitro-2-furfuriliden derivatives as well as the cytotoxicity of these compounds on J774 macrophages cell line and FN1 human fibroblast cells were investigated in this study. The most active compounds of series I and II were 4-butyl-[N'-(5-nitrofuran-2-yl) methylene] benzidrazide (3g; IC50=1.05μM±0.07) and 3-acetyl-5-(4-butylphenyl)-2-(5-nitrofuran-2-yl)-2,3-dihydro,1,3,4-oxadiazole (4g; IC50=8.27μM±0.42), respectively. Also, compound 3g was more active than the standard drugs, benznidazole (IC50=22.69μM±1.96) and nifurtimox (IC50=3.78μM±0.10). Regarding the cytotoxicity assay, the 3g compound presented IC50 value of 28.05μM (SI=26.71) against J774 cells. For the FN1 fibroblast assay, 3g showed IC50 value of 98μM (SI=93.33). On the other hand, compound 4g presented a cytotoxicity value on J774 cells higher than 400μM (SI >48), and for the FN1 cells its IC50 value was 186μM (SI=22.49). Moreover, an exploratory data analysis, which comprises hierarchical cluster (HCA) and principal component analysis (PCA), was carried out and the findings were complementary. The molecular properties that most influenced the compounds' grouping were ClogP and total dipole moment, pointing out the need of a lipophilic/hydrophilic balance in the designing of novel potential anti-T. cruzi molecules. PMID:23816040

  9. Exploratory and confirmatory factory analysis of the Willingness to Eat Whole Grains Questionnaire: A measure of young adults' attitudes toward consuming whole grain foods.

    PubMed

    Tuuri, Georgianna; Cater, Melissa; Craft, Brittany; Bailey, Ariana; Miketinas, Derek

    2016-10-01

    Whole grains are recommended by dietary guidelines because of their health-promoting properties, yet attitudes toward consuming these foods have not been examined. This study developed and validated a questionnaire to estimate willingness to consume whole grain foods. Focus group interviews with high school students and input from nutrition educators produced a list of 10 whole grain items that were included in the "Willingness to Eat Whole Grains Questionnaire". Young adult university students 18-29 years of age indicated their willingness to consume each of the whole grain foods using a 4-point, Likert-type scale with responses ranging from "always unwilling" to "always willing" and a fifth option of "never eaten". Participants' age, race/ethnicity, and gender were collected. Data were examined using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and test-retest reliability. The EFA test (n = 266; 65% female; 69% white) using principal axis factoring returned a single factor that included all survey items and explained 58.3% of the variance. The CFA (n = 252; 62% female, 74% white) supported a single-factor solution: χ(2) = 80.57 (35); RMSEA = 0.07; Comparative Fit Index = 0.92; Tucker-Lewis Index = 0.90; and SRMR = 0.05. The questionnaire, administered on two occasions separated by two weeks to 36 university students, demonstrated good testretest reliability (r = 0.87, p < 0.0001). The "Willingness to Eat Whole Grains Questionnaire" had good face validity when used with a young adult population and will be a useful tool to help nutrition educators examine attitudes toward consuming nutrient-rich whole grain foods.

  10. Exploratory studies of PM10 receptor and source profiling by GC/MS and principal component analysis of temporally and spatially resolved ambient samples.

    PubMed

    Jeon, S J; Meuzelaar, H L; Sheya, S A; Lighty, J S; Jarman, W M; Kasteler, C; Sarofim, A F; Simoneit, B R

    2001-05-01

    For a recent exploratory study of particulate matter (PM) compositions, origins, and impacts in the El Paso/Juarez (Paso del Norte) airshed, the authors relied on solvent extraction (SX)-gas chromatography/mass spectrometry (GC/MS) procedures to characterize 24-hr quartz fiber (QF) filter samples obtained from nine spatially distributed high-volume (Hi-Vol) PM10 samplers as well as on thermal desorption (TD)-GC/MS methods to characterize 45 time-resolved (2-hr) filter samples obtained with modified 1-m3/hr PM10 samplers. Principal component analysis and related chemometric techniques were used for data reduction and data fusion as well as for multiway data correlation. A high degree of correspondence (R2 = 0.821) was found between the rapid TD-GC/MS method (which can be carried out on 2-hr filter slices containing only microgram amounts of sample) and conventional SX-GC/MS procedures. The four main source patterns of organic PM components observed in GC/MS profiles of both temporally and spatially resolved receptor samples obtained in the El Paso/Juarez border airshed during the study period are interpreted to represent (1) vehicular emissions plus resuspended urban dust; (2) biomass combustion; (3) native vegetation detritus and resuspended agricultural dust; and (4) waste burning. Moreover, principal component analysis of combined, variance-weighted, temporally resolved TD-GC/MS data and spatially resolved SX-GC/MS data was used to determine approximate source locations for specific PM components identified in time-resolved receptor sample profiles. The same approach can be used to determine approximate circadian concentration profiles of specific PM components identified in spatially resolved receptor sample profiles.

  11. Risk factors for developing a second upper aerodigestive cancer after radiotherapy with or without chemotherapy in patients with head-and-neck cancers: An exploratory outcomes analysis

    SciTech Connect

    Taussky, Daniel . E-mail: daniel.taussky.chum@ssss.gouv.qc.ca; Rufibach, Kaspar M.Sc.; Huguenin, Pia; Allal, Abdelkarim S.

    2005-07-01

    Purpose: The objective was to assess the influence of treatment-related and patient-related factors on the risk of developing a second primary tumor (SPT) of the upper aerodigestive tract (UADT) in patients with locoregionally advanced nonmetastatic carcinomas of the head-and-neck region. Methods and Materials: The data of 521 patients with a minimum follow-up of 1 year were pooled: 224 patients from the Swiss Group for Clinical Cancer Research (SAKK) 10/94 trial, treated with 1.2 Gy b.i.d. to 74.4 Gy, and randomized to receive or not to receive simultaneous chemotherapy with cisplatin (excluding nasopharyngeal and maxillary sinus carcinomas); and 297 patients from Geneva, all treated with accelerated radiotherapy with concomitant boost to 69.9 Gy and predominantly cisplatin-based concomitant chemotherapy in 33% of patients (including 21 patients with nasopharyngeal carcinomas). An exploratory analysis using competing risk methodology was performed. Results: A total of 65 SPT of the UADT were observed after a median observation time of 4.7 years. The overall risk of experiencing an SPT of the UADT at 10 years in the presence of all other possible events was estimated to be 33%. There were no SPTs after treatment for nasopharyngeal carcinoma. In a multivariate logistic regression analysis, there was no difference in occurrence of SPT at 3 years with respect to the administration of chemotherapy (p = 0.31), age (p 0.62), performance status (p = 0.61), gender (p = 0.27), presence of nodal disease (p = 0.51), or T stage (p = 0.72). However, patients treated with concomitant boost had fewer SPTs (p = 0.0093). Conclusions: Our data do not suggest that addition of chemotherapy to radiotherapy influences the incidence of second cancers in patients with head-and-neck cancer. The difference in the incidence of SPT between the two radiotherapy schedule groups merits further exploration.

  12. An Exploratory Analysis of Personality, Attitudes, and Study Skills on the Learning Curve within a Team-based Learning Environment

    PubMed Central

    Henry, Teague; Campbell, Ashley

    2015-01-01

    Objective. To examine factors that determine the interindividual variability of learning within a team-based learning environment. Methods. Students in a pharmacokinetics course were given 4 interim, low-stakes cumulative assessments throughout the semester and a cumulative final examination. Students’ Myers-Briggs personality type was assessed, as well as their study skills, motivations, and attitudes towards team-learning. A latent curve model (LCM) was applied and various covariates were assessed to improve the regression model. Results. A quadratic LCM was applied for the first 4 assessments to predict final examination performance. None of the covariates examined significantly impacted the regression model fit except metacognitive self-regulation, which explained some of the variability in the rate of learning. There were some correlations between personality type and attitudes towards team learning, with introverts having a lower opinion of team-learning than extroverts. Conclusion. The LCM could readily describe the learning curve. Extroverted and introverted personality types had the same learning performance even though preference for team-learning was lower in introverts. Other personality traits, study skills, or practice did not significantly contribute to the learning variability in this course. PMID:25861101

  13. Towards a social discount rate for the economic evaluation of health technologies in Germany: an exploratory analysis.

    PubMed

    Schad, Mareike; John, Jürgen

    2012-04-01

    Over the last decades, methods for the economic evaluation of health care technologies were increasingly used to inform reimbursement decisions. For a short time, the German Statutory Health Insurance makes use of these methods to support reimbursement decisions on patented drugs. In this context, the discounting procedure emerges as a critical component of these methods, as discount rates can strongly affect the resulting incremental cost-effectiveness ratios. The aim of this paper is to identify the appropriate value of a social discount rate to be used by the German Statutory Health Insurance for the economic evaluation of health technologies. On theoretical grounds, we build on the widespread view of contemporary economists that the social rate of time preference (SRTP) is the adequate social discount rate. For quantifying the SRTP, we first apply the market behaviour approach, which assumes that the SRTP is reflected in observable market interest rates. As a second approach, we derive the SRTP from optimal growth theory by using the Ramsey equation. A major part of the paper is devoted to specify the parameters of this equation. Depending on various assumptions, our empirical findings result in the range of 1.75-4.2% for the SRTP. A reasonable base case discount rate for Germany, thus, would be about 3%. Furthermore, we deal with the much debated question whether a common discount rate for costs and health benefits or a lower rate for health should be applied in health economic evaluations. In the German social health insurance system, no exogenously fixed budget constraint does exist. When evaluating a new health technology, the health care decision maker is obliged to conduct an economic evaluation in order to examine whether there is an economically appropriate relation between the value of the health gains and the additional costs which are given by the value of the consumption losses due to the additional health care expenditures. Therefore, a discount

  14. Assessing Teaching Practices of Secondary Mathematics Student Teachers: An Exploratory Cross Case Analysis of Voluntary Field Experiences

    ERIC Educational Resources Information Center

    McClintock, Edwin; O'Brien, George; Jiang, Zhonghong

    2005-01-01

    Analyses of the impact of reform-based teaching practices in Florida International University's program have been previously reported. However, the impact of the field experiences "per se" has not been assessed. Using a cross-case analysis approach, the authors assess the impact of voluntary field experiences with teachers who practice innovative…

  15. Concerns of Asian Indians: An Exploratory Thematic Content Analysis of Unobtrusive Documentary Data for Asian American Research.

    ERIC Educational Resources Information Center

    Mohapatra, Manindra Kumar

    This paper investigates the priority of social and political issues in America's Asian Indian subcommunity and, secondarily, proposes content analysis for investigations of Asian American sub-cultures. The data sources and methodology are described first: letters to the editor published between September 1, 1983 and June 30, 1984, were selected…

  16. Demonstrations of Agency in Contemporary International Children's Literature: An Exploratory Critical Content Analysis across Personal, Social, and Cultural Dimensions

    ERIC Educational Resources Information Center

    Mathis, Janelle B.

    2015-01-01

    International children's literature has the potential to create global experiences and cultural insights for young people confronted with limited and biased images of the world offered by media. The current inquiry was designed to explore, through a critical content analysis approach, international children's literature in which characters…

  17. An Exploratory Analysis of Formal School Leaders' Positioning in Instructional Advice and Information Networks in Elementary Schools

    ERIC Educational Resources Information Center

    Spillane, James P.; Kim, Chong Min

    2012-01-01

    This article examines how formal school leaders are positioned in their school's instructional networks based on an analysis of data from all 30 elementary schools in one mid-sized urban school district. Premised on the assumption that advice and information are key building blocks for knowledge development, we analyzed the instructional advice…

  18. Stress, Mental Health, and Substance Abuse Problems in a Sample of Diversion Program Youths: An Exploratory Latent Class Analysis

    ERIC Educational Resources Information Center

    Dembo, Richard; Briones, Rhissa; Gulledge, Laura; Karas, Lora; Winters, Ken C.; Belenko, Steven; Greenbaum, Paul E.

    2012-01-01

    Reflective of interest in mental health and substance abuse issues among youths involved with the justice system, we performed a latent class analysis on baseline information collected on 100 youths involved in two diversion programs. Results identified two groups of youths: Group 1: a majority of the youths, who had high levels of delinquency,…

  19. Detection of Expressional Changes Induced by Intrauterine Growth Restriction in the Developing Rat Mammary Gland via Exploratory Pathways Analysis

    PubMed Central

    Beinder, Lea; Faehrmann, Nina; Wachtveitl, Rainer; Winterfeld, Ilona; Hartner, Andrea; Menendez-Castro, Carlos; Rauh, Manfred; Ruebner, Matthias; Huebner, Hanna; Noegel, Stephanie C.; Doerr, Helmuth G.; Rascher, Wolfgang; Fahlbusch, Fabian B.

    2014-01-01

    Background Intrauterine growth restriction (IUGR) is thought to lead to fetal programming that in turn contributes to developmental changes of many organs postnatally. There is evidence that IUGR is a risk factor for the development of metabolic and cardiovascular disease later in life. A higher incidence of breast cancer was also observed after IUGR. This could be due to changes in mammary gland developmental pathways. We sought to characterise IUGR-induced alterations of the complex pathways of mammary development at the level of the transcriptome in a rat model of IUGR, using pathways analysis bioinformatics. Methodology/Principal Findings We analysed the mammary glands of Wistar rats with IUGR induced by maternal low protein (LP) diet at the beginning (d21) and the end (d28) of pubertal ductal morphogenesis. Mammary glands of the LP group were smaller in size at d28, however did not show morphologic changes. We identified multiple differentially expressed genes in the mammary gland using Agilent SurePrint arrays at d21 and d28. In silico analysis was carried out using Ingenuity Pathways Analysis. In mammary gland tissue of LP rats at d21 of life a prominent upregulation of WT1 and CDKN1A (p21) expression was observed. Differentially regulated genes were associated with the extracellular regulated kinase (ERK)-1/-2 pathway. Western Blot analysis showed reduced levels of phosphorylated ERK-1/-2 in the mammary glands of the LP group at d21. To identify possible changes in circulating steroid levels, serum LC-Tandem mass-spectrometry was performed. LP rats showed higher serum progesterone levels and an increased corticosterone/dehydrocorticosterone-ratio at d28. Conclusions/Significance Our data obtained from gene array analysis support the hypothesis that IUGR influences pubertal development of the rat mammary gland. We identified prominent differential regulation of genes and pathways for factors regulating cell cycle and growth. Moreover, we detected new

  20. Visual exploratory analysis of DCE-MRI data in breast cancer based on novel nonlinear dimensional data reduction techniques

    NASA Astrophysics Data System (ADS)

    Meyer-Bäse, Anke; Lespinats, Sylvain; Steinbrücker, Frank; Saalbach, Axel; Schlossbauer, Thomas; Barbu, Adrian

    2009-04-01

    Visualization of multi-dimensional data sets becomes a critical and significant area in modern medical image processing. To analyze such high dimensional data, novel nonlinear embedding approaches become increasingly important to show dependencies among these data in a two- or three-dimensional space. This paper investigates the potential of novel nonlinear dimensional data reduction techniques and compares their results with proven nonlinear techniques when applied to the differentiation of malignant and benign lesions described by high-dimensional data sets arising from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Two important visualization modalities in medical imaging are presented: the mapping on a lower-dimensional data manifold and the image fusion.

  1. Applying Transactional Analysis and Personality Assessment to Improve Patient Counseling and Communication Skills

    PubMed Central

    Lawrence, Lesa

    2007-01-01

    Objective To teach pharmacy students how to apply transactional analysis and personality assessment to patient counseling to improve communication. Design A lecture series for a required pharmacy communications class was developed to teach pharmacy students how to apply transactional analysis and personality assessment to patient counseling. Students were asked to apply these techniques and to report their experiences. A personality self-assessment was also conducted. Assessment After attending the lecture series, students were able to apply the techniques and demonstrated an understanding of the psychological factors that may affect patient communication, an appreciation for the diversity created by different personality types, the ability to engage patients based on adult-to-adult interaction cues, and the ability to adapt the interactive patient counseling model to different personality traits. Conclusion Students gained a greater awareness of transactional analysis and personality assessment by applying these concepts. This understanding will help students communicate more effectively with patients. PMID:17786269

  2. Stress, Mental Health and Substance Abuse Problems In a Sample of Diversion Program Youth: An Exploratory Latent Class Analysis*

    PubMed Central

    Dembo, Richard; Briones, Rhissa; Gulledge, Laura; Karas, Lora; Winters, Ken C.; Belenko, Steven; Greenbaum, Paul E.

    2012-01-01

    Reflective of interest in mental health and substance abuse issues among youths involved with the justice system, we performed a latent class analysis on baseline information collected on 100 youths involved in two diversion programs. Results identified two groups of youths: Group 1: a majority of the youths, who had high levels of delinquency, mental health and substance abuse issues, Group 2: youths with low levels of these problems. Comparison of these two groups on a variety of psychosocial measures and parent/guardian reports found differences between them that were consistent with their problem group classification. Follow-up analysis confirmed problem behavior that was consistent with the youths’ latent class placement. Implications of the findings for research and practice will be presented. PMID:22685378

  3. Research in progress in applied mathematics, numerical analysis, and computer science

    NASA Technical Reports Server (NTRS)

    1990-01-01

    Research conducted at the Institute in Science and Engineering in applied mathematics, numerical analysis, and computer science is summarized. The Institute conducts unclassified basic research in applied mathematics in order to extend and improve problem solving capabilities in science and engineering, particularly in aeronautics and space.

  4. Exploratory Analysis of Fast-Food Chain Restaurant Menus Before and After Implementation of Local Calorie-Labeling Policies, 2005–2011

    PubMed Central

    Namba, Alexa; Leonberg, Beth L.; Wootan, Margo G.

    2013-01-01

    Introduction Since 2008, several states and municipalities have implemented regulations requiring provision of nutrition information at chain restaurants to address obesity. Although early research into the effect of such labels on consumer decisions has shown mixed results, little information exists on the restaurant industry’s response to labeling. The objective of this exploratory study was to evaluate the effect of menu labeling on fast-food menu offerings over 7 years, from 2005 through 2011. Methods Menus from 5 fast-food chains that had outlets in jurisdictions subject to menu-labeling laws (cases) were compared with menus from 4 fast-food chains operating in jurisdictions not requiring labeling (controls). A trend analysis assessed whether case restaurants improved the healthfulness of their menus relative to the control restaurants. Results Although the overall prevalence of “healthier” food options remained low, a noteworthy increase was seen after 2008 in locations with menu-labeling laws relative to those without such laws. Healthier food options increased from 13% to 20% at case locations while remaining static at 8% at control locations (test for difference in the trend, P = .02). Since 2005, the average calories for an à la carte entrée remained moderately high (approximately 450 kilocalories), with less than 25% of all entrées and sides qualifying as healthier and no clear systematic differences in the trend between chain restaurants in case versus control areas (P ≥ .50). Conclusion These findings suggest that menu labeling has thus far not affected the average nutritional content of fast-food menu items, but it may motivate restaurants to increase the availability of healthier options. PMID:23786908

  5. Performance analysis of high quality parallel preconditioners applied to 3D finite element structural analysis

    SciTech Connect

    Kolotilina, L.; Nikishin, A.; Yeremin, A.

    1994-12-31

    The solution of large systems of linear equations is a crucial bottleneck when performing 3D finite element analysis of structures. Also, in many cases the reliability and robustness of iterative solution strategies, and their efficiency when exploiting hardware resources, fully determine the scope of industrial applications which can be solved on a particular computer platform. This is especially true for modern vector/parallel supercomputers with large vector length and for modern massively parallel supercomputers. Preconditioned iterative methods have been successfully applied to industrial class finite element analysis of structures. The construction and application of high quality preconditioners constitutes a high percentage of the total solution time. Parallel implementation of high quality preconditioners on such architectures is a formidable challenge. Two common types of existing preconditioners are the implicit preconditioners and the explicit preconditioners. The implicit preconditioners (e.g. incomplete factorizations of several types) are generally high quality but require solution of lower and upper triangular systems of equations per iteration which are difficult to parallelize without deteriorating the convergence rate. The explicit type of preconditionings (e.g. polynomial preconditioners or Jacobi-like preconditioners) require sparse matrix-vector multiplications and can be parallelized but their preconditioning qualities are less than desirable. The authors present results of numerical experiments with Factorized Sparse Approximate Inverses (FSAI) for symmetric positive definite linear systems. These are high quality preconditioners that possess a large resource of parallelism by construction without increasing the serial complexity.

  6. Spatial and temporal variations of satellite-derived multi-year particulate data of Saudi Arabia: an exploratory analysis.

    PubMed

    Aina, Yusuf A; van der Merwe, Johannes H; Alshuwaikhat, Habib M

    2014-10-27

    The effects of concentrations of fine particulate matter on urban populations have been gaining attention because fine particulate matter exposes the urban populace to health risks such as respiratory and cardiovascular diseases. Satellite-derived data, using aerosol optical depth (AOD), have been adopted to improve the monitoring of fine particulate matter. One of such data sources is the global multi-year PM2.5 data (2001-2010) released by the Center for International Earth Science Information Network (CIESIN). This paper explores the satellite-derived PM2.5 data of Saudi Arabia to highlight the trend of PM2.5 concentrations. It also examines the changes in PM2.5 concentrations in some urbanized areas of Saudi Arabia. Concentrations in major cities like Riyadh, Dammam, Jeddah, Makkah, Madinah and the industrial cities of Yanbu and Jubail are analyzed using cluster analysis. The health risks due to exposure of the populace are highlighted by using the World Health Organization (WHO) standard and targets. The results show a trend of increasing concentrations of PM2.5 in urban areas. Significant clusters of high values are found in the eastern and south-western part of the country. There is a need to explore this topic using images with higher spatial resolution and validate the data with ground observations to improve the analysis.

  7. Spatial and Temporal Variations of Satellite-Derived Multi-Year Particulate Data of Saudi Arabia: An Exploratory Analysis

    PubMed Central

    Aina, Yusuf A.; van der Merwe, Johannes H.; Alshuwaikhat, Habib M.

    2014-01-01

    The effects of concentrations of fine particulate matter on urban populations have been gaining attention because fine particulate matter exposes the urban populace to health risks such as respiratory and cardiovascular diseases. Satellite-derived data, using aerosol optical depth (AOD), have been adopted to improve the monitoring of fine particulate matter. One of such data sources is the global multi-year PM2.5 data (2001–2010) released by the Center for International Earth Science Information Network (CIESIN). This paper explores the satellite-derived PM2.5 data of Saudi Arabia to highlight the trend of PM2.5 concentrations. It also examines the changes in PM2.5 concentrations in some urbanized areas of Saudi Arabia. Concentrations in major cities like Riyadh, Dammam, Jeddah, Makkah, Madinah and the industrial cities of Yanbu and Jubail are analyzed using cluster analysis. The health risks due to exposure of the populace are highlighted by using the World Health Organization (WHO) standard and targets. The results show a trend of increasing concentrations of PM2.5 in urban areas. Significant clusters of high values are found in the eastern and south-western part of the country. There is a need to explore this topic using images with higher spatial resolution and validate the data with ground observations to improve the analysis. PMID:25350009

  8. Evaluating the use of uncertainty visualization for exploratory analysis of land cover change: A qualitative expert user study

    NASA Astrophysics Data System (ADS)

    Kinkeldey, Christoph; Schiewe, Jochen; Gerstmann, Henning; Götze, Christian; Kit, Oleksandr; Lüdeke, Matthias; Taubenböck, Hannes; Wurm, Michael

    2015-11-01

    Extensive research on geodata uncertainty has been conducted in the past decades, mostly related to modeling, quantifying, and communicating uncertainty. But findings on if and how users can incorporate this information into spatial analyses are still rare. In this paper we address these questions with a focus on land cover change analysis. We conducted semi-structured interviews with three expert groups dealing with change analysis in the fields of climate research, urban development, and vegetation monitoring. During the interviews we used a software prototype to show change scenarios that the experts had analyzed before, extended by visual depiction of uncertainty related to land cover change. This paper describes the study, summarizes results, and discusses findings as well as the study method. Participants came up with several ideas for applications that could be supported by uncertainty, for example, identification of erroneous change, description of change detection algorithm characteristics, or optimization of change detection parameters. Regarding the aspect of reasoning with uncertainty in land cover change data the interviewees saw potential in better-informed hypotheses and insights about change. Communication of uncertainty information to users was seen as critical, depending on the users' role and expertize. We judge semi-structured interviews to be suitable for the purpose of this study and emphasize the potential of qualitative methods (workshops, focus groups etc.) for future uncertainty visualization studies.

  9. Requirements for Defining Utility Drive Cycles: An Exploratory Analysis of Grid Frequency Regulation Data for Establishing Battery Performance Testing Standards

    SciTech Connect

    Hafen, Ryan P.; Vishwanathan, Vilanyur V.; Subbarao, Krishnappa; Kintner-Meyer, Michael CW

    2011-10-19

    Battery testing procedures are important for understanding battery performance, including degradation over the life of the battery. Standards are important to provide clear rules and uniformity to an industry. The work described in this report addresses the need for standard battery testing procedures that reflect real-world applications of energy storage systems to provide regulation services to grid operators. This work was motivated by the need to develop Vehicle-to-Grid (V2G) testing procedures, or V2G drive cycles. Likewise, the stationary energy storage community is equally interested in standardized testing protocols that reflect real-world grid applications for providing regulation services. As the first of several steps toward standardizing battery testing cycles, this work focused on a statistical analysis of frequency regulation signals from the Pennsylvania-New Jersey-Maryland Interconnect with the goal to identify patterns in the regulation signal that would be representative of the entire signal as a typical regulation data set. Results from an extensive time-series analysis are discussed, and the results are explained from both the statistical and the battery-testing perspectives. The results then are interpreted in the context of defining a small set of V2G drive cycles for standardization, offering some recommendations for the next steps toward standardizing testing protocols.

  10. Verbal Memory and Brain Aging: An Exploratory Analysis of the Role of Error Responses in the Framingham Study

    PubMed Central

    Libon, David J.; Preis, Sarah R.; Beiser, Alexa S.; Devine, Sherral; Seshadri, Sudha; Wolf, Philip A.; DeCarli, Charles; Au, Rhoda

    2015-01-01

    Objective Analysis sought to determine whether Wechsler Memory Scale-Logical Memory (LM)-correct responses and errors were related to magnetic resonance imaging (MRI) brain volume measurements. Methods The LM immediate (LM-I) and LM delay (LM-D) free recall correct responses and related and unrelated errors were scored. Principal components analysis yielded a 3-factor solution: LM-I and LM-D correct responses, LM-I and LM-D-unrelated errors, and LM-I/-D-related errors. The MRI total cerebral brain volume, frontal brain volume, temporal horn volume (THV), and white matter hyperintensities volume (WMHIV) were obtained. Results Increasing THV (suggesting greater regional atrophy) was associated with lower scores on the LM-correct responses factor. Extensive WMHIV was associated with higher scores on the LM-related errors factor. Conclusion These results suggest that LM-correct responses could relate to emerging brain alterations. Longitudinal research might enhance the sensitivity of this test to identify preclinical impairment and persons at risk of mild cognitive impairment and dementia. PMID:25788434

  11. Green tea and black tea consumption and prostate cancer risk: an exploratory meta-analysis of observational studies.

    PubMed

    Zheng, Jusheng; Yang, Bin; Huang, Tao; Yu, Yinghua; Yang, Jing; Li, Duo

    2011-01-01

    Observational studies on tea consumption and prostate cancer (PCa) risk are still inconsistent. The authors conducted a meta-analysis to investigate the association between green tea and black tea consumption with PCa risk. Thirteen studies providing data on green tea or black tea consumption were identified by searching PubMed and ISI Web of Science databases and secondary referencing qualified for inclusion. A random-effects model was used to calculate the summary odds ratios (OR) and their corresponding 95% confidence intervals (CIs). For green tea, the summary OR of PCa indicated a borderline significant association in Asian populations for highest green tea consumption vs. non/lowest (OR = 0.62; 95% CI: 0.38-1.01); and the pooled estimate reached statistically significant level for case-control studies (OR = 0.43; 95% CI: 0.25-0.73), but not for prospective cohort studies (OR = 1.00; 95% CI: 0.66-1.53). For black tea, no statistically significant association was observed for the highest vs. non/lowest black tea consumption (OR = 0.99; 95% CI: 0.82-1.20). In conclusion, this meta-analysis supported that green tea but not black tea may have a protective effect on PCa, especially in Asian populations. Further research regarding green tea consumption across different regions apart from Asia is needed.

  12. Birth history, age structure, and post World War II fertility in ten developed countries: an exploratory empirical analysis.

    PubMed

    Artzrouni, M A; Easterlin, R A

    1982-01-01

    A post World War 2 swing in fertility occurred in many industrialized countries. Research focusing chiefly on the US has suggested that a country's prior birth history has, through its effects on age structure, been an important cause of this fertility swing. The reasoning is that the pre-World War 2 depression in fertility and post World War 2 baby boom produced after 1945 1st a scarcity and then an abundance of those in family-forming ages relative to older adults. The relative scarcity of young adults, in turn, created favorable economic and psychological conditions among those in child bearing ages and promoted marriage and child bearing; the relative abundance had the opposite effect. This paper examines the relation between birth history and fertility from 1951-76 in England, Wales, France, Netherlands, Sweden, Finland, Denmark, Switzerland, Spain, Italy, and the US and explores the implications of the analysis for experience in the remainder of this century. The analysis builds on the well-known proposition that age structure is primarily determined by a country's birth history. Birth data can be thought of as yielding an imputed age ratio, that which would prevail in the absence of mortality and migration. Analysis of data indicates that the pattern of change in the imputed ratio usually approximates fairly closely that in the actual ratio. A ratio of old to young can be thought of as consisting of an upper age limit, lower age limit, and an intermediate age that divides the population into young and old. With all 3 of these ages free to vary, a computer program then determines within certain constraints which of all possible imputed ratios of old to young has the highest (positive or negative) correlation with the total fertility rate from 1951-76. In all countries except Italy the results support the hypothesis that a scarcity of adults in the younger adult ages relative to those in older ages leads to a relatively high total fertility rate; a relative

  13. System Analysis Applied to Autonomy: Application to High-Altitude Long-Endurance Remotely Operated Aircraft

    NASA Technical Reports Server (NTRS)

    Young, Larry A.; Yetter, Jeffrey A.; Guynn, Mark D.

    2006-01-01

    Maturation of intelligent systems technologies and their incorporation into aerial platforms are dictating the development of new analysis tools and incorporation of such tools into existing system analysis methodologies in order to fully capture the trade-offs of autonomy on vehicle and mission success. A first-order "system analysis of autonomy" methodology is outlined in this paper. Further, this analysis methodology is subsequently applied to notional high-altitude long-endurance (HALE) aerial vehicle missions.

  14. PROBLEM PROFILES OF AT-RISK YOUTH IN TWO SERVICE PROGRAMS: A MULTI-GROUP, EXPLORATORY LATENT CLASS ANALYSIS.

    PubMed

    Dembo, Richard; Briones-Robinson, Rhissa; Ungaro, Rocio; Karas, Lora; Gulledge, Laura; Greenbaum, Paul E; Schmeidler, James; Winters, Ken C; Belenko, Steven

    2011-10-01

    Baseline data collected in two brief intervention projects (BI-Court and Truancy Project) were used to assess similarities and differences in subgroups of at-risk youth. Classifications of these subgroups were based on their psychosocial characteristics (e.g., substance use). Multi-group latent class analysis (LCA) identified two BI-Court subgroups of youth, and three Truant subgroups. These classes can be viewed as differing along two dimensions, substance use involvement and emotional/behavioral issues. Equality tests of means across the latent classes for BI-Court and Truancy Project youths found significant differences that were consistent with their problem group classification. These findings highlight the importance of quality assessments and allocating appropriate services based on problem profiles of at-risk youth. PMID:21966055

  15. Structured exploratory data analysis: an evaluation of the use of three SEDA statistics in assessing mode of inheritance.

    PubMed

    MacCluer, J W; Kammerer, C M

    1984-01-01

    Several SEDA statistics are described and three of them (the Midparent-Child Correlation Coefficient, the Major Gene Index, and the Offspring Between Parents Function) are evaluated with respect to their ability to distinguish monogenic, polygenic and sporadic effects on quantitative traits. The MPCC, MGI, and OBP, used in combination, are sensitive but not specific in identifying monogenic inheritance. In our tests, traits determined by a simple type of polygenic inheritance were almost invariably classified as monogenic. Sporadic traits, on the other hand, were correctly identified in 84 percent of cases. The concurrent use of these SEDA statistics and two sibship variance tests yielded some improvement whenever the two procedures agreed (which happened about 50 percent of the time). These results suggest that under some circumstances, SEDA can be a valuable adjunct to other methods of genetic analysis. SEDA methodology also appears promising as an aid in understanding the contribution of various nongenetic factors to quantitative traits.

  16. PROBLEM PROFILES OF AT-RISK YOUTH IN TWO SERVICE PROGRAMS: A MULTI-GROUP, EXPLORATORY LATENT CLASS ANALYSIS

    PubMed Central

    Dembo, Richard; Briones-Robinson, Rhissa; Ungaro, Rocio; Karas, Lora; Gulledge, Laura; Greenbaum, Paul E.; Schmeidler, James; Winters, Ken C.; Belenko, Steven

    2011-01-01

    Baseline data collected in two brief intervention projects (BI-Court and Truancy Project) were used to assess similarities and differences in subgroups of at-risk youth. Classifications of these subgroups were based on their psychosocial characteristics (e.g., substance use). Multi-group latent class analysis (LCA) identified two BI-Court subgroups of youth, and three Truant subgroups. These classes can be viewed as differing along two dimensions, substance use involvement and emotional/behavioral issues. Equality tests of means across the latent classes for BI-Court and Truancy Project youths found significant differences that were consistent with their problem group classification. These findings highlight the importance of quality assessments and allocating appropriate services based on problem profiles of at-risk youth. PMID:21966055

  17. Factors that shape the patient's hospital experience and satisfaction with lower limb arthroplasty: an exploratory thematic analysis

    PubMed Central

    Lane, J V; Hamilton, D F; MacDonald, D J; Ellis, C; Howie, C R

    2016-01-01

    Objective It is generally accepted that the patients’ hospital experience can influence their overall satisfaction with the outcome of lower limb arthroplasty; however, little is known about the factors that shape the hospital experience. The aim of this study was to develop an understanding of what patients like and do not like about their hospital experience with a view to providing insight into where service improvements could have the potential to improve the patient experience and their satisfaction, and whether they would recommend the procedure. Design A mixed methods (quan-QUAL) approach. Setting Large regional teaching hospital. Participants 216 patients who had completed a postoperative postal questionnaire at 12 months following total knee or total hip arthroplasty. Outcome measures Overall satisfaction with the outcome of surgery, whether to recommend the procedure to another and the rating of patient hospital experience. Free text comments on the best and worst aspects of their hospital stay were evaluated using qualitative thematic analysis. Results Overall, 77% of patients were satisfied with their surgery, 79% reported a good–excellent hospital experience and 85% would recommend the surgery to another. Qualitative analysis revealed clear themes relating to communication, pain relief and the process experience. Comments on positive aspects of the hospital experience were related to feeling well informed and consulted about their care. Comments on the worst aspects of care were related to being made to wait without explanation, moved to different wards and when they felt invisible to the healthcare staff caring for them. Conclusions Positive patient experiences were closely linked to effective patient–health professional interactions and logistics of the hospital processes. Within arthroplasty services, the patient experience of healthcare could be enhanced by further attention to concepts of patient-centred care. Practical examples of this

  18. Advances in lithium analysis in solids by means of laser-induced breakdown spectroscopy: an exploratory study

    NASA Astrophysics Data System (ADS)

    Fabre, Cécile; Boiron, Marie-Christine; Dubessy, Jean; Chabiron, Aliouka; Charoy, Bernard; Martin Crespo, Tomas

    2002-04-01

    Lithium is an important geochemical tracer for fluids or solids. However, because the electron microprobe cannot detect Li, variations of Li abundance at the micrometric scale are most often estimated from bulk analyses. In this study, the Li intense emission line at 670.706 nm in optical emission spectroscopy was used to perfect the analysis of Li at the micrometric scale by means of laser-induced breakdown spectroscopy (LIBS). To estimate lithium content for different geological materials, LIBS calibration of the emission line at 670.706 nm was achieved by use of synthetic glasses and natural minerals. The detection limit for this method is ˜5 ppm Li. Three applications to geological materials show the potential of LIBS for lithium determination, namely for Li-bearing minerals, melt inclusions, quartz, and associated fluid inclusions. For spodumene and petalite from granite pegmatite dikes (Portugal), the Li 2O concentrations are 7.6 ± 1.6 wt% and 6.3 ± 1.3 wt%, respectively, by use of LIBS. These values agree with ion microprobe analyses, bulk analyses, or both. For eucryptite crystals, the Li concentrations are scattered because grain size is smaller than the LIBS spatial resolution (6 to 8 μm). Lithium concentrations of melt inclusions from the Streltsovka U deposit (Siberia) are in the range of 2 to 6.2 wt% (Li 2O) for Li-rich daughter minerals. Lithium estimations on silicate glasses display values between 90 and 400 ppm. Lithium was also analyzed as a trace element in quartz. Transverse profiles were performed in hydrothermal barren quartz veins from the Spanish Central System (Sierra de Guadarrama). The highest Li concentrations (250 to 370 ppm) were found in specific growth bands in conjunction with the observed variation in optical cathodoluminescence intensity. Considering the fluid inclusion analysis, the source of fluid responsible to the Li enrichment in quartz is probably high-salinity fluids derived from sedimentary basins.

  19. An Exploratory Study Investigating the Viability of a Communication and Feedback Intervention for School Children at Risk of Exclusion: Analysis of Staff Perspectives

    ERIC Educational Resources Information Center

    Rechten, Frances; Tweed, Alison E.

    2014-01-01

    Every day nearly 900 children will be excluded from UK schools for disruptive behaviour and almost one-third of this population has a diagnosed mental health disorder. Exclusion from school is the endpoint of most schools' sanction-based behaviour management policies. This exploratory study investigated staff opinions for using a…

  20. Achieving Dramatic School Improvement: An Exploratory Study. A Cross-Site Analysis from the Evaluation of Comprehensive School Reform Program Implementation and Outcomes Study

    ERIC Educational Resources Information Center

    Aladjem, Daniel K.; Birman, Beatrice F.; Orland, Martin; Harr-Robins, Jenifer; Heredia, Alberto; Parrish, Thomas B.; Ruffini, Stephen J.

    2010-01-01

    This exploratory study describes approaches to improving schools through retrospective, in-depth qualitative case studies. To select schools to be examined, the authors sought to identify Comprehensive School Reform (CSR) schools demonstrating two distinctive patterns of improved student achievement between 2000 and 2005, rapid-improvement (i.e.,…

  1. Factor Structure of Scores from the Maslach Burnout Inventory: A Review and Meta-Analysis of 45 Exploratory and Confirmatory Factor-Analytic Studies

    ERIC Educational Resources Information Center

    Worley, Jody A.; Vassar, Matt; Wheeler, Denna L.; Barnes, Laura L. B.

    2008-01-01

    This study provides a summary of 45 exploratory and confirmatory factor-analytic studies that examined the internal structure of scores obtained from the Maslach Burnout Inventory (MBI). It highlights characteristics of the studies that account for differences in reporting of the MBI factor structure. This approach includes an examination of the…

  2. Young Children's Haptic Exploratory Procedures

    ERIC Educational Resources Information Center

    Kalagher, Hilary; Jones, Susan S.

    2011-01-01

    Adults vary their haptic exploratory behavior reliably with variation both in the sensory input and in the task goals. Little is known about the development of these connections between perceptual goals and exploratory behaviors. A total of 36 children ages 3, 4, and 5 years and 20 adults completed a haptic intramodal match-to-sample task.…

  3. A review of the technology and process on integrated circuits failure analysis applied in communications products

    NASA Astrophysics Data System (ADS)

    Ming, Zhimao; Ling, Xiaodong; Bai, Xiaoshu; Zong, Bo

    2016-02-01

    The failure analysis of integrated circuits plays a very important role in the improvement of the reliability in communications products. This paper intends to mainly introduce the failure analysis technology and process of integrated circuits applied in the communication products. There are many technologies for failure analysis, include optical microscopic analysis, infrared microscopic analysis, acoustic microscopy analysis, liquid crystal hot spot detection technology, optical microscopic analysis technology, micro analysis technology, electrical measurement, microprobe technology, chemical etching technology and ion etching technology. The integrated circuit failure analysis depends on the accurate confirmation and analysis of chip failure mode, the search of the root failure cause, the summary of failure mechanism and the implement of the improvement measures. Through the failure analysis, the reliability of integrated circuit and rate of good products can improve.

  4. Exploratory data analysis for robot perception of room environments by means of an in-air sonar scanner.

    PubMed

    Giannoccaro, Nicola Ivan; Spedicato, Luigi

    2013-08-01

    In this paper, the authors have developed a new method for reconstructing the boundary walls of a room environment by using a mechatronic device consisting of four ultrasonic sensors rotated by a servo modular actuator. This scanning system allows to measure the times of flight in each motor position so as to explore the surrounding space detecting reflections from the boundary walls and from other static obstacles. In addition to undesired reflections, due to non-target obstacles interposed between the sensors and the target surfaces, several spurious times are observed at the corners because of multiple reflections. The Fuzzy C-Means (FCM) algorithm is used for partitioning the obtained dataset in five clusters and some considerations on the output signal energy permit to select the two subsets concerned with multipath echoes. Each remaining cluster is associated to a set of three-dimensional points by considering the directivity of the wide beam propagated. In order to discard the observations that are numerically distant from the confidence data, the three sets are filtered by means of an ellipsoid defined by the Principal Component Analysis (PCA). The best-fit planes are obtained by testing the eigenvalues and relating eigenvectors of the covariance matrix of each filtered set. Several tests are shown and discussed for appreciating the effectiveness of the described approach and they are aimed at making a robot aware of its environment.

  5. Construction and validation of the South African version of the Fear Survey Schedule for Children: an exploratory factor analysis.

    PubMed

    Burkhardt, Käthe; Loxton, Helene; Kagee, Ashraf; Ollendick, Thomas H

    2012-09-01

    The Fear Survey Schedule for Children-Revised (Ollendick, 1983) is an 80-item self-report instrument that has been used internationally to asses the number of fears and general level of fearfulness among children. Despite its widespread use, this instrument has not been adapted to the South African context. The present study addressed this gap by means of a 2-phase investigation aimed at developing a South African version of the instrument. In Phase 1, semistructured interviews were conducted with 40 children (7 to 13 years of age). Qualitative data obtained from these interviews were used to construct additional items for inclusion in the South African Fear Survey Schedule for Children-Revised. The modified scale, consisting of 97 items, was then administered to a sample of 646 children between the ages of 7 and 13 years. Further psychometric considerations resulted in the final version of the scale consisting of 74 items with high internal consistency (α=.97). The factor structure was explored by means of principal component analysis with varimax rotation and a 5-factor solution was found to provide the best conceptual fit. The factors identified were as follows: Fear of Death and Danger; Fear of the Unknown; Fear of Small Animals and Minor Threats to Self; Large Animal Fears; and Situational Fears. Differences between the South African version and the original Fear Survey Schedule for Children-Revised are noted and implications for the study of fear in South Africa and other countries are discussed.

  6. Exploratory Analysis of Carbon Dioxide Levels, Ultrasound and Optical Coherence Tomography Measures of the Eye During ISS Missions

    NASA Technical Reports Server (NTRS)

    Schaefer, C.; Young, M.; Mason, S.; Coble, C.; Wear, M. L.; Sargsyan, A.; Garcia, K.; Patel, N.; Gibson, C.; Alexander, D.; Van Baalen, M.

    2017-01-01

    Enhanced screening for the Visual Impairment/Intracranial Pressure (VIIP) syndrome has been implemented to better characterize the ocular and vision changes observed in some long-duration crewmembers. This includes implementation of in-flight ultrasound in 2010 and optical coherence tomography (OCT) in 2013. Potential risk factors for VIIP include cardiovascular health, diet, anatomical and genetic factors, and environmental conditions. Carbon dioxide (CO2), a potent vasodilator, is chronically elevated on the International Space Station (ISS) relative to ambient levels on Earth, and is a plausible risk factor for VIIP. In an effort to understand the possible associations between CO2 and VIIP, this study explores the relationship of ambient CO2 levels on ISS compared to inflight ultrasound and OCT measures of the eye obtained from ISS crewmembers. CO2 measurements were aggregated from Operational Data Reduction Complex and Node 3 major constituent analyzers (MCAs) on ISS or from sensors located in the European Columbus module, as available. CO2 levels in the periods between each ultrasound and OCT session are summarized using timeseries metrics, including time-weighted means and variances. Partial least squares regression analyses are used to quantify the complex relationship between specific ultrasound and OCT measures and the CO2 metrics simulataneously. These analyses will enhance our understanding of the possible associations between CO2 levels and structural changes to the eye which will in turn inform future analysis of inflight VIIP data.

  7. Differences in rural and urban driver-injury severities in accidents involving large-trucks: an exploratory analysis.

    PubMed

    Khorashadi, Ahmad; Niemeier, Debbie; Shankar, Venky; Mannering, Fred

    2005-09-01

    This study explores the differences between urban and rural driver injuries (both passenger-vehicle and large-truck driver injuries) in accidents that involve large trucks (in excess of 10,000 pounds). Using 4 years of California accident data, and considering four driver-injury severity categories (no injury, complaint of pain, visible injury, and severe/fatal injury), a multinomial logit analysis of the data was conducted. Significant differences with respect to various risk factors including driver, vehicle, environmental, road geometry and traffic characteristics were found to exist between urban and rural models. For example, in rural accidents involving tractor-trailer combinations, the probability of drivers' injuries being severe/fatal increased about 26% relative to accidents involving single-unit trucks. In urban areas, this same probability increased nearly 700%. In accidents where alcohol or drug use was identified as being the primary cause of the accident, the probability of severe/fatal injury increased roughly 250% percent in rural areas and nearly 800% in urban areas. While many of the same variables were found to be significant in both rural and urban models (although often with quite different impact), there were 13 variables that significantly influenced driver-injury severity in rural but not urban areas, and 17 variables that significantly influenced driver-injury severity in urban but not rural areas. We speculate that the significant differences between rural and urban injury severities may be at least partially attributable to the different perceptual, cognitive and response demands placed on drivers in rural versus urban areas.

  8. Particulate matter (PM10) patterns in Europe: An exploratory data analysis using non-negative matrix factorization

    NASA Astrophysics Data System (ADS)

    Žibert, Janez; Cedilnik, Jure; Pražnikar, Jure

    2016-05-01

    In last decade space-density of monitoring stations increased, in to addition also air pollution modeling made big progress. Using diversity of big data can lead to better knowledge about air pollution at continental scale. The focus of presented study is the data-driven approach using non-negative matrix factorization to provide new insights and to study the characteristic space-time particulate-matter patterns across Europe. We analyzed the PM10 concentrations obtained from 1097 monitoring stations (AirBase data) and the Monitoring Atmospheric Composition and Climate (MACC) modeled fields for a period of 3 years. We distinguished five characteristic patterns obtained from the AirBase data and five patterns from the MACC data. A comparison between the AirBase and MACC data shows a good spatial overlap for the east Europe, central Europe and the Mediterranean patterns. However, it should be noted that an analysis of the MACC data revealed two additional marine patterns: the Celtic and the North Seas. The Po Valley and Balkan patterns were very clearly identified when analyzing the AirBase data. In order to better understand the influence of the synoptic situation on the particulate-matter concentrations the synoptic meteorological situations were additionally analyzed. The cold season, low wind and very stable conditions, which can last for several days, is the most common situation linked to high concentrations of anthropogenic air pollution with particulate matter. In contrast, for the Mediterranean pattern the most common situation (high factor loadings) is observed during the summer period. This pattern also exhibits a clearer annual cycle. A closer look at the sea-salt patterns (Celtic and North Seas) shows low time-series correlations between these two factors. Nevertheless, the physical mechanism is the same: a steep gradient between the cyclone and the anti-cyclone that causes high winds and, consequently, higher sea-salt production.

  9. An Objective Comparison of Applied Behavior Analysis and Organizational Behavior Management Research

    ERIC Educational Resources Information Center

    Culig, Kathryn M.; Dickinson, Alyce M.; McGee, Heather M.; Austin, John

    2005-01-01

    This paper presents an objective review, analysis, and comparison of empirical studies targeting the behavior of adults published in Journal of Applied Behavior Analysis (JABA) and Journal of Organizational Behavior Management (JOBM) between 1997 and 2001. The purpose of the comparisons was to identify similarities and differences with respect to…

  10. Applied Behavior Analysis and the Imprisoned Adult Felon Project 1: The Cellblock Token Economy.

    ERIC Educational Resources Information Center

    Milan, Michael A.; And Others

    This report provides a technical-level analysis, discussion, and summary of five experiments in applied behavior analysis. Experiment 1 examined the token economy as a basis for motivating inmate behavior; Experiment 2 examined the relationship between magnitude of token reinforcement and level of inmate performance; Experiment 3 introduced a…

  11. Sociosexuality Education for Persons with Autism Spectrum Disorders Using Principles of Applied Behavior Analysis

    ERIC Educational Resources Information Center

    Wolfe, Pamela S.; Condo, Bethany; Hardaway, Emily

    2009-01-01

    Applied behavior analysis (ABA) has emerged as one of the most effective empirically based strategies for instructing individuals with autism spectrum disorders (ASD). Four ABA-based strategies that have been found effective are video modeling, visual strategies, social script fading, and task analysis. Individuals with ASD often struggle with…

  12. Causal Modeling--Path Analysis a New Trend in Research in Applied Linguistics

    ERIC Educational Resources Information Center

    Rastegar, Mina

    2006-01-01

    This article aims at discussing a new statistical trend in research in applied linguistics. This rather new statistical procedure is causal modeling--path analysis. The article demonstrates that causal modeling--path analysis is the best statistical option to use when the effects of a multitude of L2 learners' variables on language achievement are…

  13. Aspects of Language in Children with ADHD: Applying Functional Analyses to Explore Language Use

    ERIC Educational Resources Information Center

    Mathers, Margaret E.

    2006-01-01

    This article reports some outcomes from an exploratory study that compares children diagnosed with ADHD and without language impairment with typically developing children for aspects of language use. Discourse analysis based on a systemic functional linguistics approach is applied to spoken and written samples from three different text types that…

  14. The Textual Organisation of Research Article Introductions in Applied Linguistics: Variability within a Single Discipline

    ERIC Educational Resources Information Center

    Ozturk, Ismet

    2007-01-01

    This paper explores the degree of variability in the structure of research article introductions within a single discipline. It is an exploratory study based on the analysis of 20 research articles. The study investigates the differences between two subdisciplines of applied linguistics, namely second language acquisition and second language…

  15. Confirmation of standard error analysis techniques applied to EXAFS using simulations

    SciTech Connect

    Booth, Corwin H; Hu, Yung-Jin

    2009-12-14

    Systematic uncertainties, such as those in calculated backscattering amplitudes, crystal glitches, etc., not only limit the ultimate accuracy of the EXAFS technique, but also affect the covariance matrix representation of real parameter errors in typical fitting routines. Despite major advances in EXAFS analysis and in understanding all potential uncertainties, these methods are not routinely applied by all EXAFS users. Consequently, reported parameter errors are not reliable in many EXAFS studies in the literature. This situation has made many EXAFS practitioners leery of conventional error analysis applied to EXAFS data. However, conventional error analysis, if properly applied, can teach us more about our data, and even about the power and limitations of the EXAFS technique. Here, we describe the proper application of conventional error analysis to r-space fitting to EXAFS data. Using simulations, we demonstrate the veracity of this analysis by, for instance, showing that the number of independent dat a points from Stern's rule is balanced by the degrees of freedom obtained from a 2 statistical analysis. By applying such analysis to real data, we determine the quantitative effect of systematic errors. In short, this study is intended to remind the EXAFS community about the role of fundamental noise distributions in interpreting our final results.

  16. Spherical harmonic decomposition applied to spatial-temporal analysis of human high-density electroencephalogram

    NASA Astrophysics Data System (ADS)

    Wingeier, B. M.; Nunez, P. L.; Silberstein, R. B.

    2001-11-01

    We demonstrate an application of spherical harmonic decomposition to the analysis of the human electroencephalogram (EEG). We implement two methods and discuss issues specific to the analysis of hemispherical, irregularly sampled data. Spatial sampling requirements and performance of the methods are quantified using simulated data. The analysis is applied to experimental EEG data, confirming earlier reports of an approximate frequency-wave-number relationship in some bands.

  17. Newberry exploratory slimhole

    SciTech Connect

    Finger, J.T.; Jacobson, R.D.

    1997-01-01

    During July-November, 1995, Sandia National Laboratories, in cooperation with CE Exploration, drilled a 5,360 foot exploratory slimhole (3.85 inches diameter) in the Newberry Known Geothermal Resource Area (KGRA) near Bend, Oregon. This well was part of Sandia`s program to evaluate slimholes as a geothermal exploration tool. During and after drilling the authors performed numerous temperature logs, and at the completion of drilling attempted to perform injection tests. In addition to these measurements, the well`s data set includes: over 4,000 feet of continuous core (with detailed log); daily drilling reports from Sandia and from drilling contractor personnel; daily drilling fluid record; and comparative data from other wells drilled in the Newberry KGRA.

  18. Theatrical fire pursuant exploratory laparotomy

    PubMed Central

    Bellevue, Oliver C.; Johnson, Bennett M.; Feczko, Andrew F.; Nadig, Daniel E.; White, David M.

    2016-01-01

    Fire in the operating theater is a rare but potentially fatal complication. We report igniting an intraperitoneal fire while preforming an exploratory laparotomy for perforated viscus. Fortunately, the patient suffered no injuries as a result. PMID:27252520

  19. Theatrical fire pursuant exploratory laparotomy.

    PubMed

    Bellevue, Oliver C; Johnson, Bennett M; Feczko, Andrew F; Nadig, Daniel E; White, David M

    2016-01-01

    Fire in the operating theater is a rare but potentially fatal complication. We report igniting an intraperitoneal fire while preforming an exploratory laparotomy for perforated viscus. Fortunately, the patient suffered no injuries as a result. PMID:27252520

  20. Design and Analysis of a Thrust Vector Mechanism Applied in a Flying Wing

    NASA Astrophysics Data System (ADS)

    Zhu, Yanhe; Gao, Liang; Wang, Hongwei; Zhao, Jie

    This paper presents the design and analysis of a thrust vector mechanism applied in a flying wing. A thrust vector mechanism driven by two servos is developed. An analysis of the dynamic differences in minimum hovering radius between conventional flying wing and one with thrust vector mechanism is given and validated with simulation. It is shown that thrust vector has obvious advantages over the usual flying wing including decreasing the hovering radius and decreasing roll angle. The benefits should improve maneuverability and agility.

  1. Session: Long Valley Exploratory Well

    SciTech Connect

    Tennyson, George P. Jr.; Finger, John T.; Eichelberger, John C.; Hickox, Charles E.

    1992-01-01

    This session at the Geothermal Energy Program Review X: Geothermal Energy and the Utility Market consisted of four presentations: ''Long Valley Exploratory Well - Summary'' by George P. Tennyson, Jr.; ''The Long Valley Well - Phase II Operations'' by John T. Finger; ''Geologic results from the Long Valley Exploratory Well'' by John C. Eichelberger; and ''A Model for Large-Scale Thermal Convection in the Long Valley Geothermal Region'' by Charles E. Hickox.

  2. August Dvorak (1894-1975): Early expressions of applied behavior analysis and precision teaching.

    PubMed

    Joyce, B; Moxley, R A

    1988-01-01

    August Dvorak is best known for his development of the Dvorak keyboard. However, Dvorak also adapted and applied many behavioral and scientific management techniques to the field of education. Taken collectively, these techniques are representative of many of the procedures currently used in applied behavior analysis, in general, and especially in precision teaching. The failure to consider Dvorak's instructional methods may explain some of the discrepant findings in studies which compare the efficiency of the Dvorak to the standard keyboard. This article presents a brief background on the development of the standard (QWERTY) and Dvorak keyboards, describes parallels between Dvorak's teaching procedures and those used in precision teaching, reviews some of the comparative research on the Dvorak keyboard, and suggests some implications for further research in applying the principles of behavior analysis.

  3. August Dvorak (1894-1975): Early expressions of applied behavior analysis and precision teaching

    PubMed Central

    Joyce, Bonnie; Moxley, Roy A.

    1988-01-01

    August Dvorak is best known for his development of the Dvorak keyboard. However, Dvorak also adapted and applied many behavioral and scientific management techniques to the field of education. Taken collectively, these techniques are representative of many of the procedures currently used in applied behavior analysis, in general, and especially in precision teaching. The failure to consider Dvorak's instructional methods may explain some of the discrepant findings in studies which compare the efficiency of the Dvorak to the standard keyboard. This article presents a brief background on the development of the standard (QWERTY) and Dvorak keyboards, describes parallels between Dvorak's teaching procedures and those used in precision teaching, reviews some of the comparative research on the Dvorak keyboard, and suggests some implications for further research in applying the principles of behavior analysis. PMID:22477993

  4. Using Applied Behaviour Analysis as Standard Practice in a UK Special Needs School

    ERIC Educational Resources Information Center

    Foran, Denise; Hoerger, Marguerite; Philpott, Hannah; Jones, Elin Walker; Hughes, J. Carl; Morgan, Jonathan

    2015-01-01

    This article describes how applied behaviour analysis can be implemented effectively and affordably in a maintained special needs school in the UK. Behaviour analysts collaborate with classroom teachers to provide early intensive behaviour education for young children with autism spectrum disorders (ASD), and function based behavioural…

  5. Says Who?: Students Apply Their Critical-Analysis Skills to Fight Town Hall

    ERIC Educational Resources Information Center

    Trimarchi, Ruth

    2002-01-01

    For some time the author looked for a tool to let students apply what they are learning about critical analysis in the science classroom to a relevant life experience. The opportunity occurred when a proposal to use environmentally friendly cleaning products in town buildings appeared on the local town meeting agenda. Using a copy of the proposal…

  6. Applied Behavior Analysis in Autism Spectrum Disorders: Recent Developments, Strengths, and Pitfalls

    ERIC Educational Resources Information Center

    Matson, Johnny L.; Turygin, Nicole C.; Beighley, Jennifer; Rieske, Robert; Tureck, Kimberly; Matson, Michael L.

    2012-01-01

    Autism has become one of the most heavily researched topics in the field of mental health and education. While genetics has been the most studied of all topics, applied behavior analysis (ABA) has also received a great deal of attention, and has arguably yielded the most promising results of any research area to date. The current paper provides a…

  7. Lovaas Model of Applied Behavior Analysis. What Works Clearinghouse Intervention Report

    ERIC Educational Resources Information Center

    What Works Clearinghouse, 2010

    2010-01-01

    The "Lovaas Model of Applied Behavior Analysis" is a type of behavioral therapy that initially focuses on discrete trials: brief periods of one-on-one instruction, during which a teacher cues a behavior, prompts the appropriate response, and provides reinforcement to the child. Children in the program receive an average of 35 to 40 hours of…

  8. Applying Socio-Identity Analysis to Counseling Practice and Preparation: A Review of Four Techniques.

    ERIC Educational Resources Information Center

    Johnson, Samuel D., Jr.

    1990-01-01

    Reviews four training strategies for applying socioidentity analysis to multicultural counseling; the Clarification Group (C Group); the Personal Dimensions of Difference Self-Inventory (PDD); the Multifactor Needs Assessment; and the Cultural Grid. Each highlights a slightly different aspect of the complex matrix of relationships that define the…

  9. A Case Study in the Misrepresentation of Applied Behavior Analysis in Autism: The Gernsbacher Lectures

    PubMed Central

    Morris, Edward K

    2009-01-01

    I know that most men, including those at ease with problems of the greatest complexity, can seldom accept the simplest and most obvious truth if it be such as would oblige them to admit the falsity of conclusions which they have proudly taught to others, and which they have woven, thread by thread, into the fabrics of their life. (Tolstoy, 1894) This article presents a case study in the misrepresentation of applied behavior analysis for autism based on Morton Ann Gernsbacher's presentation of a lecture titled “The Science of Autism: Beyond the Myths and Misconceptions.” Her misrepresentations involve the characterization of applied behavior analysis, descriptions of practice guidelines, reviews of the treatment literature, presentations of the clinical trials research, and conclusions about those trials (e.g., children's improvements are due to development, not applied behavior analysis). The article also reviews applied behavior analysis' professional endorsements and research support, and addresses issues in professional conduct. It ends by noting the deleterious effects that misrepresenting any research on autism (e.g., biological, developmental, behavioral) have on our understanding and treating it in a transdisciplinary context. PMID:22478522

  10. Applied Behavior Analysis in the Treatment of Severe Psychiatric Disorders: A Bibliography.

    ERIC Educational Resources Information Center

    Scotti, Joseph R.; And Others

    Clinical research in the area of severe psychiatric disorders constituted the major focus for the discipline of applied behavior analysis during the early 1960s. Recently, however, there appears to be a notable lack of a behavioral focus within many inpatient psychiatric settings and a relative dearth of published behavioral treatment studies with…

  11. INDEPENDENT COMPONENT ANALYSIS (ICA) APPLIED TO LONG BUNCH BEAMS IN THE LOS ALAMOS PROTON STORAGE RING

    SciTech Connect

    Kolski, Jeffrey S.; Macek, Robert J.; McCrady, Rodney C.; Pang, Xiaoying

    2012-05-14

    Independent component analysis (ICA) is a powerful blind source separation (BSS) method. Compared to the typical BSS method, principal component analysis (PCA), which is the BSS foundation of the well known model independent analysis (MIA), ICA is more robust to noise, coupling, and nonlinearity. ICA of turn-by-turn beam position data has been used to measure the transverse betatron phase and amplitude functions, dispersion function, linear coupling, sextupole strength, and nonlinear beam dynamics. We apply ICA in a new way to slices along the bunch and discuss the source signals identified as betatron motion and longitudinal beam structure.

  12. Impact of disability and other physical health issues on academic outcomes among American Indian and Alaskan Native college students: an exploratory analysis.

    PubMed

    Patterson Silver Wolf Adelv Unegv Waya, David A; Vanzile-Tamsen, Carol; Black, Jessica; Billiot, Shanondora M; Tovar, Molly

    2015-01-01

    This study investigated whether self-identified disabilities among American Indian and Alaskan Native college students impact academic performance and persistence to graduation and explored the differences in health and academic grades between American Indian and Alaskan Native students and students of other racial and ethnic identities using the National College Health Assessment. Findings indicate that American Indian or Alaskan Native students have significantly lower grades than White and Asian students, and American Indian and Alaskan Native women report the highest incidence of health problems of any demographic group. Exploratory results point to future research to determine the full impact of disabilities and poor health on academic success.

  13. Research in progress in applied mathematics, numerical analysis, fluid mechanics, and computer science

    NASA Technical Reports Server (NTRS)

    1994-01-01

    This report summarizes research conducted at the Institute for Computer Applications in Science and Engineering in applied mathematics, fluid mechanics, and computer science during the period October 1, 1993 through March 31, 1994. The major categories of the current ICASE research program are: (1) applied and numerical mathematics, including numerical analysis and algorithm development; (2) theoretical and computational research in fluid mechanics in selected areas of interest to LaRC, including acoustics and combustion; (3) experimental research in transition and turbulence and aerodynamics involving LaRC facilities and scientists; and (4) computer science.

  14. Exploratory studies, 1991

    SciTech Connect

    Not Available

    1992-03-01

    The Exploratory Studies Group is dedicated to advanced investigation of accelerators and radiation, primarily in the area of charged-particle beams and photon beams. Its primary mission is to explore the next steps in the development of particle accelerators and storage rings, which are important both for high-energy physics and for the wide range of disciplines now turning to synchrotron-radiation sources and free-electron lasers. Our research is therefore deeply committed to LBL`s institutional goal of becoming a center for the generation and use of coherent and incoherent electromagnetic radiation of exceptional brightness, as well as for generic research on the future development of accelerators. A significant fraction of our effort is dedicated to general accelerator-physics research for facilities on the immediate horizon, but a vital part of our activities comprises research into exotic possibilities for charged-particle production, accumulation, acceleration, and storage. During this report period, we were proncipally involved in four general areas of study: Accelerator-physics research for the Advanced Light Source, the 1-2 GeV synchrotron radiation source now under construction at LBL. In collaboration with the Stanford Linear Accelerator Center, both the conceptual and the detailed design of PEP-II, an energy-asymmetric electron-positron collider, based on the PEP ring at SLAC and designed to serve as a B-meson factory. Studies of ultraviolet and infrared free-electron lasers based on linear accelerators and storage rings, in particular the conceptual design of an infrared free-electron laser for the proposed Chemical Dynamics Research Laboratory at LBL. Generic high-energy accelerator-physics and photon-beam research directed far into the future to envision facilities that would employ new techniques of particle-beam acceleration and storage and photon-beam generation.

  15. Exploratory studies, 1991

    SciTech Connect

    Not Available

    1992-03-01

    The Exploratory Studies Group is dedicated to advanced investigation of accelerators and radiation, primarily in the area of charged-particle beams and photon beams. Its primary mission is to explore the next steps in the development of particle accelerators and storage rings, which are important both for high-energy physics and for the wide range of disciplines now turning to synchrotron-radiation sources and free-electron lasers. Our research is therefore deeply committed to LBL's institutional goal of becoming a center for the generation and use of coherent and incoherent electromagnetic radiation of exceptional brightness, as well as for generic research on the future development of accelerators. A significant fraction of our effort is dedicated to general accelerator-physics research for facilities on the immediate horizon, but a vital part of our activities comprises research into exotic possibilities for charged-particle production, accumulation, acceleration, and storage. During this report period, we were proncipally involved in four general areas of study: Accelerator-physics research for the Advanced Light Source, the 1-2 GeV synchrotron radiation source now under construction at LBL. In collaboration with the Stanford Linear Accelerator Center, both the conceptual and the detailed design of PEP-II, an energy-asymmetric electron-positron collider, based on the PEP ring at SLAC and designed to serve as a B-meson factory. Studies of ultraviolet and infrared free-electron lasers based on linear accelerators and storage rings, in particular the conceptual design of an infrared free-electron laser for the proposed Chemical Dynamics Research Laboratory at LBL. Generic high-energy accelerator-physics and photon-beam research directed far into the future to envision facilities that would employ new techniques of particle-beam acceleration and storage and photon-beam generation.

  16. Applying behavior analysis to clinical problems: review and analysis of habit reversal.

    PubMed Central

    Miltenberger, R G; Fuqua, R W; Woods, D W

    1998-01-01

    This article provides a review and analysis of habit reversal, a multicomponent procedure developed by Azrin and Nunn (1973, 1974) for the treatment of nervous habits, tics, and stuttering. The article starts with a discussion of the behaviors treated with habit reversal, behavioral covariation among habits, and functional analysis and assessment of habits. Research on habit reversal and simplified versions of the procedure is then described. Next the article discusses the limitations of habit reversal and the evidence for its generality. The article concludes with an analysis of the behavioral processes involved in habit reversal and suggestions for future research. PMID:9757583

  17. A Study in the Founding of Applied Behavior Analysis Through Its Publications

    PubMed Central

    Morris, Edward K.; Altus, Deborah E.; Smith, Nathaniel G.

    2013-01-01

    This article reports a study of the founding of applied behavior analysis through its publications. Our methods included hand searches of sources (e.g., journals, reference lists), search terms (i.e., early, applied, behavioral, research, literature), inclusion criteria (e.g., the field's applied dimension), and (d) challenges to their face and content validity. Our results were 36 articles published between 1959 and 1967 that we organized into 4 groups: 12 in 3 programs of research and 24 others. Our discussion addresses (a) limitations in our method (e.g., the completeness of our search), (b) challenges to the validity of our methods and results (e.g., convergent validity), and (c) priority claims about the field's founding. We conclude that the claims are irresolvable because identification of the founding publications depends significantly on methods and because the field's founding was an evolutionary process. We close with suggestions for future research. PMID:25729133

  18. Possible survival benefits from zoledronic acid treatment in patients with bone metastases from solid tumours and poor prognostic features—An exploratory analysis of placebo-controlled trials

    PubMed Central

    Coleman, Robert E.; Lipton, Allan; Costa, Luis; Cook, Richard J.; Lee, Ker-Ai; Saad, Fred; Brown, Janet E.; Terpos, Evangelos; Major, Pierre P.; Kohno, Norio; Smith, Matthew; Body, Jean-Jacques

    2013-01-01

    Background Zoledronic acid (ZOL) is an important component of therapy for patients with metastatic bone disease (MBD) to reduce the risk of skeletal-related events (SREs). We evaluated overall survival (OS) in patients with MBD secondary to solid tumours included in placebocontrolled ZOL trials. Patients and methods Exploratory analyses were performed using databases from three randomised trials of ZOL versus placebo. 1126 patients (ZOL, n=731; placebo, n=395) with complete baseline data for 18 predefined parameters were evaluated for OS. Relative risks (RRs) with 95% confidence intervals were assessed using stratified and adjusted Cox regression models. Baseline covariates defining patient populations with significantly different effects of ZOL treatment on OS (identified by stepwise backward elimination) were included in multivariate models. Results Although OS was similar between the overall treatment groups, ZOL significantly improved OS in the subset of patients (n=423; 38%) with elevated baseline NTX (≥100 nmol/mmol creatinine; RR, 0.692; P=.0028). Notably, this effect was independent of SRE prevention. Additional covariates associated with OS benefits with ZOL (e.g., low albumin, SRE history, elevated lactate dehydrogenase, shorter cancer duration) were characteristic of advanced disease. Conclusion These exploratory analyses suggest a beneficial effect of ZOL on OS in patients with highly aggressive or advanced MBD. PMID:26909273

  19. MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis

    PubMed Central

    Moyer, Eric; Hagenauer, Megan; Lesko, Matthew; Francis, Felix; Rodriguez, Oscar; Nagarajan, Vijayaraj; Huser, Vojtech; Busby, Ben

    2016-01-01

    Network analysis can make variant analysis better. There are existing tools like HotNet2 and dmGWAS that can provide various analytical methods. We developed a prototype of a pipeline called MetaNetVar that allows execution of multiple tools. The code is published at https://github.com/NCBI-Hackathons/Network_SNPs. A working prototype is published as an Amazon Machine Image - ami-4510312f . PMID:27158457

  20. Exploratory and Confirmatory Factor Analyses of the Multicultural Teaching Scale

    ERIC Educational Resources Information Center

    Yang, Yan; Montgomery, Diane

    2011-01-01

    The ongoing conceptual controversy of cultural competence for preservice teachers led to the current study that explored the underlying structure of cultural competence through exploratory factor analysis (EFA) and confirmatory factor analysis methods. A total of 793 preservice teachers from two large Midwestern universities completed the…