WorldWideScience

Sample records for non-metric multidimensional scaling

  1. Non-metric multidimensional performance indicator scaling reveals seasonal and team dissimilarity within the National Rugby League.

    Science.gov (United States)

    Woods, Carl T; Robertson, Sam; Sinclair, Wade H; Collier, Neil French

    2017-06-22

    Analysing the dissimilarity of seasonal and team profiles within elite sport may reveal the evolutionary dynamics of game-play, while highlighting the similarity of individual team profiles. This study analysed seasonal and team dissimilarity within the National Rugby League (NRL) between the 2005 to 2016 seasons. Longitudinal. Total seasonal values for 15 performance indicators were collected for every NRL team over the analysed period (n=190 observations). Non-metric multidimensional scaling was used to reveal seasonal and team dissimilarity. Compared to the 2005 to 2011 seasons, the 2012 to 2016 seasons were in a state of flux, with a relative dissimilarity in the positioning of team profiles on the ordination surface. There was an abrupt change in performance indicator characteristics following the 2012 season, with the 2014 season reflecting a large increase in the total count of 'all run metres' (d=1.21; 90% CI=0.56-1.83), 'kick return metres' (d=2.99; 90% CI=2.12-3.84) and decrease in 'missed tackles' (d=-2.43; 90% CI=-3.19 to -1.64) and 'tackle breaks' (d=-2.41; 90% CI=-3.17 to -1.62). Interpretation of team ordination plots showed that certain teams evolved in (dis)similar ways over the analysed period. It appears that NRL match-types evolved following the 2012 season and are in a current state of flux. The modification of coaching tactics and rule changes may have contributed to these observations. Coaches could use these results when designing prospective game strategies in the NRL. Crown Copyright © 2017. Published by Elsevier Ltd. All rights reserved.

  2. Symbolic Multidimensional Scaling

    NARCIS (Netherlands)

    P.J.F. Groenen (Patrick); Y. Terada

    2015-01-01

    markdownabstract__Abstract__ Multidimensional scaling (MDS) is a technique that visualizes dissimilarities between pairs of objects as distances between points in a low dimensional space. In symbolic MDS, a dissimilarity is not just a value but can represent an interval or even a histogram. Here, w

  3. Multidimensional Scaling and Its Applications.

    Science.gov (United States)

    Davison, Mark L., Ed.; Jones, Lawrence E., Ed.

    1983-01-01

    This special issues describes multidimensional scaling (MDS), with emphasis on proximity and preference models. An introduction and six papers review statistical developments in MDS study design and scrutinize MDS research in four areas of application (consumer, social, cognitive, and vocational psychology). (SLD)

  4. Non-metric chaotic inflation

    Energy Technology Data Exchange (ETDEWEB)

    Enqvist, Kari [Physics Department, University of Helsinki, and Helsinki Institute of Physics, FIN-00014 Helsinki (Finland); Koivisto, Tomi [Institute for Theoretical Physics and Spinoza Institute, Leuvenlaan 4, 3584 CE Utrecht (Netherlands); Rigopoulos, Gerasimos, E-mail: kari.enqvist@helsinki.fi, E-mail: T.S.Koivisto@astro.uio.no, E-mail: rigopoulos@physik.rwth-aachen.de [Institut für Theoretische Teilchenphysik und Kosmologie, RWTH Aachen University, D-52056 Aachen (Germany)

    2012-05-01

    We consider inflation within the context of what is arguably the simplest non-metric extension of Einstein gravity. There non-metricity is described by a single graviscalar field with a non-minimal kinetic coupling to the inflaton field Ψ, parameterized by a single parameter γ. There is a simple equivalent description in terms of a massless field and an inflaton with a modified potential. We discuss the implications of non-metricity for chaotic inflation and find that it significantly alters the inflaton dynamics for field values Ψ∼>M{sub P}/γ, dramatically changing the qualitative behaviour in this regime. In the equivalent single-field description this is described as a cuspy potential that forms of barrier beyond which the inflation becomes a ghost field. This imposes an upper bound on the possible number of e-folds. For the simplest chaotic inflation models, the spectral index and the tensor-to-scalar ratio receive small corrections dependent on the non-metricity parameter. We also argue that significant post-inflationary non-metricity may be generated.

  5. Multidimensional Scaling Applied to Linguistic Relationships.

    Science.gov (United States)

    Black, Paul

    1973-01-01

    As the several specific applications in this paper demonstrate, multidimensional scaling provides a long-needed means for investigating and describing spatial relationships among speech varieties. It is especially applicable to the relationships among varieties of a single language (or more properly, linguistic "cline"), which, as is…

  6. Multidimensional Scaling Visualization using Parametric Similarity Indices

    OpenAIRE

    Tenreiro Machado, J. A.; António M. Lopes; Alexandra M. Galhano

    2015-01-01

    In this paper, we apply multidimensional scaling (MDS) and parametric similarity indices (PSI) in the analysis of complex systems (CS). Each CS is viewed as a dynamical system, exhibiting an output time-series to be interpreted as a manifestation of its behavior. We start by adopting a sliding window to sample the original data into several consecutive time periods. Second, we define a given PSI for tracking pieces of data. We then compare the windows for different values of the parameter, an...

  7. Multidimensional Scaling Visualization using Parametric Similarity Indices

    OpenAIRE

    Tenreiro Machado, J. A.; Lopes, António M.; Alexandra M. Galhano

    2015-01-01

    In this paper, we apply multidimensional scaling (MDS) and parametric similarity indices (PSI) in the analysis of complex systems (CS). Each CS is viewed as a dynamical system, exhibiting an output time-series to be interpreted as a manifestation of its behavior. We start by adopting a sliding window to sample the original data into several consecutive time periods. Second, we define a given PSI for tracking pieces of data. We then compare the windows for different values of the parameter, an...

  8. Multidimensional scaling of musical time estimations.

    Science.gov (United States)

    Cocenas-Silva, Raquel; Bueno, José Lino Oliveira; Molin, Paul; Bigand, Emmanuel

    2011-06-01

    The aim of this study was to identify the psycho-musical factors that govern time evaluation in Western music from baroque, classic, romantic, and modern repertoires. The excerpts were previously found to represent variability in musical properties and to induce four main categories of emotions. 48 participants (musicians and nonmusicians) freely listened to 16 musical excerpts (lasting 20 sec. each) and grouped those that seemed to have the same duration. Then, participants associated each group of excerpts to one of a set of sine wave tones varying in duration from 16 to 24 sec. Multidimensional scaling analysis generated a two-dimensional solution for these time judgments. Musical excerpts with high arousal produced an overestimation of time, and affective valence had little influence on time perception. The duration was also overestimated when tempo and loudness were higher, and to a lesser extent, timbre density. In contrast, musical tension had little influence.

  9. Multidimensional Scaling Visualization Using Parametric Entropy

    Science.gov (United States)

    Lopes, António M.; Tenreiro Machado, J. A.; Galhano, Alexandra M.

    2015-12-01

    This paper studies complex systems using a generalized multidimensional scaling (MDS) technique. Complex systems are characterized by time-series responses, interpreted as a manifestation of their dynamics. Two types of time-series are analyzed, namely 18 stock markets and the gross domestic product per capita of 18 countries. For constructing the MDS charts, indices based on parametric entropies are adopted. Multiparameter entropies allow the variation of the parameters leading to alternative sets of charts. The final MDS maps are then assembled by means of Procrustes’ method that maximizes the fit between the individual charts. Therefore, the proposed method can be interpreted as a generalization to higher dimensions of the standard technique that represents (and discretizes) items by means of single “points” (i.e. zero-dimensional “objects”). The MDS plots, involving one-, two- and three-dimensional “objects”, reveal a good performance in capturing the correlations between data.

  10. A combined multidimensional scaling and hierarchical clustering view for the exploratory analysis of multidimensional data

    Science.gov (United States)

    Craig, Paul; Roa-Seïler, Néna

    2013-01-01

    This paper describes a novel information visualization technique that combines multidimensional scaling and hierarchical clustering to support the exploratory analysis of multidimensional data. The technique displays the results of multidimensional scaling using a scatter plot where the proximity of any two items' representations is approximate to their similarity according to a Euclidean distance metric. The results of hierarchical clustering are overlaid onto this view by drawing smoothed outlines around each nested cluster. The difference in similarity between successive cluster combinations is used to colour code clusters and make stronger natural clusters more prominent in the display. When a cluster or group of items is selected, multidimensional scaling and hierarchical clustering are re-applied to a filtered subset of the data, and animation is used to smooth the transition between successive filtered views. As a case study we demonstrate the technique being used to analyse survey data relating to the appropriateness of different phrases to different emotionally charged situations.

  11. Multidimensional Scaling Visualization Using Parametric Similarity Indices

    Directory of Open Access Journals (Sweden)

    J. A. Tenreiro Machado

    2015-03-01

    Full Text Available In this paper, we apply multidimensional scaling (MDS and parametric similarity indices (PSI in the analysis of complex systems (CS. Each CS is viewed as a dynamical system, exhibiting an output time-series to be interpreted as a manifestation of its behavior. We start by adopting a sliding window to sample the original data into several consecutive time periods. Second, we define a given PSI for tracking pieces of data. We then compare the windows for different values of the parameter, and we generate the corresponding MDS maps of ‘points’. Third, we use Procrustes analysis to linearly transform the MDS charts for maximum superposition and to build a globalMDS map of “shapes”. This final plot captures the time evolution of the phenomena and is sensitive to the PSI adopted. The generalized correlation, theMinkowski distance and four entropy-based indices are tested. The proposed approach is applied to the Dow Jones Industrial Average stock market index and the Europe Brent Spot Price FOB time-series.

  12. Multidimensional scaling visualization of earthquake phenomena

    Science.gov (United States)

    Lopes, António M.; Machado, J. A. Tenreiro; Pinto, C. M. A.; Galhano, A. M. S. F.

    2014-01-01

    Earthquakes are associated with negative events, such as large number of casualties, destruction of buildings and infrastructures, or emergence of tsunamis. In this paper, we apply the Multidimensional Scaling (MDS) analysis to earthquake data. MDS is a set of techniques that produce spatial or geometric representations of complex objects, such that, objects perceived to be similar/distinct in some sense are placed nearby/distant on the MDS maps. The interpretation of the charts is based on the resulting clusters since MDS produces a different locus for each similarity measure. In this study, over three million seismic occurrences, covering the period from January 1, 1904 up to March 14, 2012 are analyzed. The events, characterized by their magnitude and spatiotemporal distributions, are divided into groups, either according to the Flinn-Engdahl seismic regions of Earth or using a rectangular grid based in latitude and longitude coordinates. Space-time and Space-frequency correlation indices are proposed to quantify the similarities among events. MDS has the advantage of avoiding sensitivity to the non-uniform spatial distribution of seismic data, resulting from poorly instrumented areas, and is well suited for accessing dynamics of complex systems. MDS maps are proven as an intuitive and useful visual representation of the complex relationships that are present among seismic events, which may not be perceived on traditional geographic maps. Therefore, MDS constitutes a valid alternative to classic visualization tools, for understanding the global behavior of earthquakes.

  13. Turkish Validity Examination of the Multidimensional Students' Life Satisfaction Scale

    Science.gov (United States)

    Irmak, Sezgin; Kuruuzum, Ayse

    2009-01-01

    The validation studies of the Multidimensional Students' Life Satisfaction Scale (MSLSS) have been conducted with samples from different nations but mostly from western individualistic cultures. Life satisfaction and its constructs could differ depending on cultural characteristics and life satisfaction scales should be validated in different…

  14. A Multidimensional Ethics Scale for Indian Managers' Moral Decision Making

    OpenAIRE

    Gupta, Seema

    2010-01-01

    This paper analyses the role of traditional moral theories in managers’ moral decision making using the multidimensional ethics scale (MES) developed and refined by Reidenbach and Robin (1988, 1990). This study extends their work by examining the applicability of the scale to subjects from India, other than the country in which the scale was developed. The research question is: what kind of ethical dimensions do Indian managers reveal when they are making moral decisions. Factor analysis is d...

  15. Measuring Motivations of Crowdworkers: The Multidimensional Crowdworker Motivation Scale

    OpenAIRE

    Posch, Lisa; Bleier, Arnim; Strohmaier, Markus

    2017-01-01

    Crowd employment is a new form of short term and flexible employment which has emerged during the past decade. For understanding this new form of employment, it is crucial to understand the underlying motivations of the workforce involved in it. This paper presents the Multidimensional Crowdworker Motivation Scale (MCMS), a scale for measuring the motivation of crowdworkers on micro-task platforms. The scale is theoretically grounded in Self-Determination Theory and tailored specifically to t...

  16. Analysis of stock market indices through multidimensional scaling

    Science.gov (United States)

    Machado, J. Tenreiro; Duarte, Fernando B.; Duarte, Gonçalo Monteiro

    2011-12-01

    We propose a graphical method to visualize possible time-varying correlations between fifteen stock market values. The method is useful for observing stable or emerging clusters of stock markets with similar behaviour. The graphs, originated from applying multidimensional scaling techniques (MDS), may also guide the construction of multivariate econometric models.

  17. Simultaneous classification and multidimensional scaling with external information

    NARCIS (Netherlands)

    Kiers, HAL; Vicari, D; Vichi, M

    2005-01-01

    For the exploratory analysis of a matrix of proximities or (dis)similarities between objects, one often uses cluster analysis ( CA) or multidimensional scaling (MDS). Solutions resulting from such analyses are sometimes interpreted using external information on the objects. Usually the procedures of

  18. Multidimensional Scaling of High School Students' Perceptions of Academic Dishonesty

    Science.gov (United States)

    Schmelkin, Liora Pedhazur; Gilbert, Kimberly A.; Silva, Rebecca

    2010-01-01

    Although cheating on tests and other forms of academic dishonesty are considered rampant, no standard definition of academic dishonesty exists. The current study was conducted to investigate the perceptions of academic dishonesty in high school students, utilizing an innovative methodology, multidimensional scaling (MDS). Two methods were used to…

  19. Multidimensional Scaling of High School Students' Perceptions of Academic Dishonesty

    Science.gov (United States)

    Schmelkin, Liora Pedhazur; Gilbert, Kimberly A.; Silva, Rebecca

    2010-01-01

    Although cheating on tests and other forms of academic dishonesty are considered rampant, no standard definition of academic dishonesty exists. The current study was conducted to investigate the perceptions of academic dishonesty in high school students, utilizing an innovative methodology, multidimensional scaling (MDS). Two methods were used to…

  20. A multidimensional scaling model accommodating differential stimulus familiarity

    NARCIS (Netherlands)

    Bijmolt, THA; DeSarbo, WS; Wedel, M

    1998-01-01

    We introduce a multidimensional scaling procedure that attempts to derive a spatial representation of stimuli unconfounded by the effect of subjects' degrees of familiarity with these stimuli. The proposed model assumes that stimulus unfamiliarity produces a tendency for a subject to anchor his/her

  1. A comparison of multidimensional scaling methods for perceptual mapping

    NARCIS (Netherlands)

    Bijmolt, T.H.A.; Wedel, M.

    1999-01-01

    Multidimensional scaling has been applied to a wide range of marketing problems, in particular to perceptual mapping based on dissimilarity judgments. The introduction of methods based on the maximum likelihood principle is one of the most important developments. In this article, the authors compare

  2. A Monte Carlo Evaluation of Maximum Likelihood Multidimensional Scaling Methods

    NARCIS (Netherlands)

    Bijmolt, T.H.A.; Wedel, M.

    1996-01-01

    We compare three alternative Maximum Likelihood Multidimensional Scaling methods for pairwise dissimilarity ratings, namely MULTISCALE, MAXSCAL, and PROSCAL in a Monte Carlo study.The three MLMDS methods recover the true con gurations very well.The recovery of the true dimensionality depends on the

  3. A comparison of multidimensional scaling methods for perceptual mapping

    NARCIS (Netherlands)

    Bijmolt, T.H.A.; Wedel, M.

    1999-01-01

    Multidimensional scaling has been applied to a wide range of marketing problems, in particular to perceptual mapping based on dissimilarity judgments. The introduction of methods based on the maximum likelihood principle is one of the most important developments. In this article, the authors compare

  4. A comparison of multidimensional scaling methods for perceptual mapping

    NARCIS (Netherlands)

    Bijmolt, T.H.A.; Wedel, M.

    Multidimensional scaling has been applied to a wide range of marketing problems, in particular to perceptual mapping based on dissimilarity judgments. The introduction of methods based on the maximum likelihood principle is one of the most important developments. In this article, the authors compare

  5. A Review of the Brief Multidimensional Students' Life Satisfaction Scale

    Science.gov (United States)

    Huebner, E. Scott; Seligson, Julie L.; Valois, Robert F.; Suldo, Shannon M.

    2006-01-01

    There are few psychometrically sound measures of life satisfaction suitable for children and adolescents. The purpose of this paper is to describe the rationale, development, and psychometric properties of a brief multidimensional life satisfaction scale appropriate for use with children of ages 8-18. The paper summarizes extant studies of its…

  6. USAGE OF DISSIMILARITY MEASURES AND MULTIDIMENSIONAL SCALING FOR LARGE SCALE SOLAR DATA ANALYSIS

    Data.gov (United States)

    National Aeronautics and Space Administration — USAGE OF DISSIMILARITY MEASURES AND MULTIDIMENSIONAL SCALING FOR LARGE SCALE SOLAR DATA ANALYSIS Juan M Banda, Rafal Anrgyk ABSTRACT: This work describes the...

  7. Multidimensional Structure of the Hypomanic Personality Scale

    Science.gov (United States)

    Schalet, Benjamin D.; Durbin, C. Emily; Revelle, William

    2011-01-01

    The structure of the Hypomanic Personality Scale was explored in a sample of young adults (N = 884); resulting structures were validated on subsamples with measures of personality traits, internalizing symptoms, and externalizing behaviors. Hierarchical cluster analysis and estimates of general factor saturation suggested the presence of a weak…

  8. MULTILEVEL AND MULTIDIMENSIONAL SCALE FOR ONLINE TRUST

    Directory of Open Access Journals (Sweden)

    Encarnación González-Vázquez

    2014-02-01

    Full Text Available This paper examines the nature of the construct of consumers’ trust toward the electronic channel of their financial institution. Through a study of a total of 372 individual users of Internet banking in Spain, we have managed to develop a third-order measuring instrument that integrates a total of seven dimensions. The exploratory and confirmatory factor analyses were used to test the validation and reliability of the proposed scale. Findings provide useful information to professionals who seek to identify how customer's trust is formed in the online channel and in the financial sector.

  9. Analysis of world economic variables using multidimensional scaling.

    Directory of Open Access Journals (Sweden)

    J A Tenreiro Machado

    Full Text Available Waves of globalization reflect the historical technical progress and modern economic growth. The dynamics of this process are here approached using the multidimensional scaling (MDS methodology to analyze the evolution of GDP per capita, international trade openness, life expectancy, and education tertiary enrollment in 14 countries. MDS provides the appropriate theoretical concepts and the exact mathematical tools to describe the joint evolution of these indicators of economic growth, globalization, welfare and human development of the world economy from 1977 up to 2012. The polarization dance of countries enlightens the convergence paths, potential warfare and present-day rivalries in the global geopolitical scene.

  10. Development and validation of the Cancer Dyspnoea Scale: a multidimensional, brief, self-rating scale

    OpenAIRE

    K. Tanaka; Akechi, T.; T. Okuyama; Nishiwaki,Y; Uchitomi, Y

    2000-01-01

    Dyspnoea is one of the most frequent and refractory symptoms in cancer patients. Lack of an appropriate assessment tool for dyspnoea seems to disturb establishment of management strategy. The purpose of this study was to develop and validate a brief self-rating scale to assess the multidimensional nature of dyspnoea in cancer patients. We developed a 12-item scale, the Cancer Dyspnoea Scale (CDS), composed of three factors (sense of effort/sense of anxiety/sense of discomfort), by using facto...

  11. Multidimensional scaling analysis of the dynamics of a country economy.

    Science.gov (United States)

    Tenreiro Machado, J A; Mata, Maria Eugénia

    2013-01-01

    This paper analyzes the Portuguese short-run business cycles over the last 150 years and presents the multidimensional scaling (MDS) for visualizing the results. The analytical and numerical assessment of this long-run perspective reveals periods with close connections between the macroeconomic variables related to government accounts equilibrium, balance of payments equilibrium, and economic growth. The MDS method is adopted for a quantitative statistical analysis. In this way, similarity clusters of several historical periods emerge in the MDS maps, namely, in identifying similarities and dissimilarities that identify periods of prosperity and crises, growth, and stagnation. Such features are major aspects of collective national achievement, to which can be associated the impact of international problems such as the World Wars, the Great Depression, or the current global financial crisis, as well as national events in the context of broad political blueprints for the Portuguese society in the rising globalization process.

  12. Care and Justice Moral Reasoning: A Multidimensional Scaling Approach.

    Science.gov (United States)

    Weinberg, S L; Yacker, N L; Orenstein, S H; DeSarbo, W

    1993-10-01

    In contrast to Kohlberg's (1969) universal model of moral development, Gilligan's (1982) model posits the existence of separate patterns of moral development for men and women. The pattern for men, termed the "justice ethic," is based on abstract concepts of justice, reciprocity, and individual rights. The pattern for women, termed the "care ethic," is based on responsibility toward others and the preservation of relationships. The purpose of this article is to utilize a recently developed multidimensional scaling methodology to explore the underlying structure of moral reasoning responses to 12 moral dilemmas, developed on the basis of Gilligan's theory, and to relate that structure to individual difference characteristics. Results of findings and implications for future research are discussed.

  13. [Measuring job satisfaction: development of a multidimensional scale].

    Science.gov (United States)

    Faraci, Palmira; Valenti, Giusy

    2016-01-01

    Although numerous studies have been done on the topic ofjob satisfaction, as regards the Italian research, the construction of specific psychometric instruments is lacking. The present paper is aimed to develop a scale to measure job satisfaction referring to our cultural context. Participants were 222 workers (36.5% males, 63.5% females) with an average age of 38.39 years (SD = 10.91). The formulated items were selected from a large item pool on the basis of the evaluation by a group of expert judges, and the item analysis procedure. In order to establish test validity, the following instruments were also administered: Occupational Stress Indicator, Satisfaction With Life Scale, Rosenberg Self-Esteem Scale, Multidimensional Scale of Perceived Social Support, and Beck Depression Inventory. Both exploratory and confirmatory factor analyses highlighted a 6-factor structure. Those factors were responsible for 51.30% of the total variance. Reliability analyses indicated satisfying internal consistency (ranging from alpha = .73 to alpha = .86). Construct validity was supported by results obtained calculating correlations with the theoretically associated variables. Our findings suggest promising psychometric properties for the presented measure. The instrument could be used in specific programs developed to promote well-being conditions in work settings.

  14. Modified multidimensional scaling approach to analyze financial markets

    Science.gov (United States)

    Yin, Yi; Shang, Pengjian

    2014-06-01

    Detrended cross-correlation coefficient (σDCCA) and dynamic time warping (DTW) are introduced as the dissimilarity measures, respectively, while multidimensional scaling (MDS) is employed to translate the dissimilarities between daily price returns of 24 stock markets. We first propose MDS based on σDCCA dissimilarity and MDS based on DTW dissimilarity creatively, while MDS based on Euclidean dissimilarity is also employed to provide a reference for comparisons. We apply these methods in order to further visualize the clustering between stock markets. Moreover, we decide to confront MDS with an alternative visualization method, "Unweighed Average" clustering method, for comparison. The MDS analysis and "Unweighed Average" clustering method are employed based on the same dissimilarity. Through the results, we find that MDS gives us a more intuitive mapping for observing stable or emerging clusters of stock markets with similar behavior, while the MDS analysis based on σDCCA dissimilarity can provide more clear, detailed, and accurate information on the classification of the stock markets than the MDS analysis based on Euclidean dissimilarity. The MDS analysis based on DTW dissimilarity indicates more knowledge about the correlations between stock markets particularly and interestingly. Meanwhile, it reflects more abundant results on the clustering of stock markets and is much more intensive than the MDS analysis based on Euclidean dissimilarity. In addition, the graphs, originated from applying MDS methods based on σDCCA dissimilarity and DTW dissimilarity, may also guide the construction of multivariate econometric models.

  15. A Multidimensional Scaling (INDSCAL) Approach to Pain: Comparison of Cancer Patients and Healthy Volunteers.

    Science.gov (United States)

    Clark, W. Crawford; Ferrer-Brechner, Theresa

    Multidimensional scaling (MDS) offers a rigorous approach to many problems in perception, emotion, personality, and cognition, where the stimuli are too complex to be quantified by other means. In these procedures similarity ratings of the stimulus objects are modeled as points in multidimensional space, such that perceived similarity is…

  16. Can the Frost Multidimensional Perfectionism Scale Assess Perfeccionismo?

    Science.gov (United States)

    Burgess, Alexandra M; DiBartolo, Patricia Marten; Rendón, María Jose

    2016-08-08

    Although culture-based measurement bias threatens the validity of intergroup comparison research, measurement invariance is often assumed rather than demonstrated by researchers who draw conclusions about cross-cultural similarities or differences. The current article investigates the cross-cultural invariance of a popular measure of perfectionism, the Frost Multidimensional Perfectionism Scale (F-MPS; Frost, Marten, Lahart, & Rosenblate, 1990) for a Hispanic/Latina sample. Perfectionism, which encompasses high goal setting and sensitivity to critical evaluation, is a transdiagnostic risk factor for internalizing psychopathology that especially warrants focus among groups burdened by mental health disparities. Multiple samples were used in a series of analyses to construct a baseline first-order measurement model and test for cross-group equivalence. For model development, confirmatory factor analyses (CFAs) were used with 320 female participants (Mage = 19.61 years) who identified primarily (n = 301) as European/European American. Measurement invariance testing was conducted with multigroup CFAs using another sample of female adults (n = 574; Mage = 21.21 years), identifying either as European/European American (n = 217) or Hispanic/Latina/Latin American (n = 357). Evidence was found for invariance across the revised F-MPS factor structure, pattern of factor loadings, and factor variances/covariances. Results indicate that predictive relationships may be compared across these groups, but caution is suggested when interpreting raw mean score differences due to intercept nonequivalence. Further, second-order model testing demonstrated support for the bidimensional model of perfectionism cross-culturally. Future research on perfectionism within the Latino/a population is encouraged using this equivalent item set. (PsycINFO Database Record

  17. TMFA: A FORTRAN Program for Three-Mode Factor Analysis and Individual Differences Multidimensional Scaling.

    Science.gov (United States)

    Redfield, Joel

    1978-01-01

    TMFA, a FORTRAN program for three-mode factor analysis and individual-differences multidimensional scaling, is described. Program features include a variety of input options, extensive preprocessing of input data, and several alternative methods of analysis. (Author)

  18. Multidimensional scaling technique for analysis of magnetic storms at Indian observatories

    Indian Academy of Sciences (India)

    M Sridharan; A M S Ramasamy

    2002-12-01

    Multidimensional scaling is a powerful technique for analysis of data. The latitudinal dependenceof geomagnetic field variation in horizontal component (H) during magnetic storms is analysed in this paper by employing this technique.

  19. It is more than personal: Development and validation of a multidimensional privacy orientation scale

    OpenAIRE

    Baruh, Lemi; Cemalcılar, Zeynep

    2014-01-01

    Running Head: MULTIDIMENSIONAL PRIVACY ORIENTATION SCALE 1 It's More than Personal: Development and Validation of a Multidimensional Privacy Orientation Scale Lemi Baruh Department of Media and Visual Arts College of Social Sciences and Humanities Koç University Turkey E-Mail: Phone: +90 212 338 1133 Fax: +90 212 338 3760 Zeynep Cemalcılar Department of Psychology College of Social Sciences and Humanities Koç University Turkey ...

  20. Concurrent Criterion Validity of the Ausburg Multidimensional Personality Instrument (AMPI) Clinical Scales among College Students

    Science.gov (United States)

    Kelly, William E.; Lutz, Daniel

    2014-01-01

    The concurrent criterion validity of the Ausburg Multidimensional Personality Instrument (AMPI) clinical scales was examined. The AMPI and several scales purportedly measuring the same or similar constructs as those of the AMPI clinical scales were administered to two samples of college students (N = 134 and N = 118). The correlations between the…

  1. CFMDS: CUDA-based fast multidimensional scaling for genome-scale data.

    Science.gov (United States)

    Park, Sungin; Shin, Soo-Yong; Hwang, Kyu-Baek

    2012-01-01

    Multidimensional scaling (MDS) is a widely used approach to dimensionality reduction. It has been applied to feature selection and visualization in various areas. Among diverse MDS methods, the classical MDS is a simple and theoretically sound solution for projecting data objects onto a low dimensional space while preserving the original distances among them as much as possible. However, it is not trivial to apply it to genome-scale data (e.g., microarray gene expression profiles) on regular desktop computers, because of its high computational complexity. We implemented a highly-efficient software application, called CFMDS (CUDA-based Fast MultiDimensional Scaling), which produces an approximate solution of the classical MDS based on CUDA (compute unified device architecture) and the divide-and-conquer principle. CUDA is a parallel computing architecture exploiting the power of the GPU (graphics processing unit). The principle of divide-and-conquer was adopted for circumventing the small memory problem of usual graphics cards. Our application software has been tested on various benchmark datasets including microarrays and compared with the classical MDS algorithms implemented using C# and MATLAB. In our experiments, CFMDS was more than a hundred times faster for large data than such general solutions. Regarding the quality of dimensionality reduction, our approximate solutions were as good as those from the general solutions, as the Pearson's correlation coefficients between them were larger than 0.9. CFMDS is an expeditious solution for the data dimensionality reduction problem. It is especially useful for efficient processing of genome-scale data consisting of several thousands of objects in several minutes.

  2. Development of the Multidimensional Peer Victimization Scale-Revised (MPVS-R) and the Multidimensional Peer Bullying Scale (MPVS-RB).

    Science.gov (United States)

    Betts, Lucy R; Houston, James E; Steer, Oonagh L

    2015-01-01

    Peer victimization is a frequent occurrence for many adolescents; however, some of the psychometric properties of self-report scales assessing these experiences remain unclear. Furthermore, with an increase in access to technology, electronic aggression should also be considered. The authors examined the psychometric properties of the Multidimensional Peer Victimization Scale (MPVS; Mynard & Joseph, 2000), and developed versions to include the assessment of electronic aggression according to whether the adolescent was the target or perpetrator of peer victimization. A total of 371 (191 girls and 180 boys; Mage = 13 years 4 months, SDage = 1 year 2 months) adolescents in the United Kingdom completed the MPVS including five newly developed items assessing electronic aggression, a version of the MPVS designed to assess victimization perpetration, and a measure of self-esteem. Confirmatory factor analyses yielded a five-factor structure comprising: Physical, social manipulation, verbal, attacks on property, and electronic for both scales. Convergent validity was established through negative associations between the victimization scales and self-esteem. Sex differences also emerged. One revised scale and one new scale are subsequently proposed: The MPVS-Revised and the Multidimensional Peer Bullying Scale.

  3. Measuring Anxiety in Youth with Learning Disabilities: Reliability and Validity of the Multidimensional Anxiety Scale for Children (MASC)

    Science.gov (United States)

    Thaler, Nicholas S.; Kazemi, Ellie; Wood, Jeffrey J.

    2010-01-01

    Youth with learning disabilities (LD) are at an increased risk for anxiety disorders and valid measures of anxiety are necessary for assessing this population. We investigated the psychometric properties of the Multidimensional Anxiety Scale for Children (MASC; March in Multidimensional anxiety scale for children. Multi-Health Systems, North…

  4. Evaluating the Invariance of Cognitive Profile Patterns Derived from Profile Analysis via Multidimensional Scaling (PAMS): A Bootstrapping Approach

    Science.gov (United States)

    Kim, Se-Kang

    2010-01-01

    The aim of the current study is to validate the invariance of major profile patterns derived from multidimensional scaling (MDS) by bootstrapping. Profile Analysis via Multidimensional Scaling (PAMS) was employed to obtain profiles and bootstrapping was used to construct the sampling distributions of the profile coordinates and the empirical…

  5. Reliability of the factor structure of the Multidimensional Scale of Interpersonal Reactivity (EMRI

    Directory of Open Access Journals (Sweden)

    Nilton S. Formiga

    2013-10-01

    Full Text Available This study aims to check the internal consistency and factor structure evaluative of the empathy scale in a high school and college sample in the state of Minas Gerais. The instruments that measure empathy can be easily found, however, of the existing, just multidimensional scale of interpersonal reactivity (Emri is the theoretical framework that has far more and better organized, and the scale that is most commonly used to assess this construct. Participated 488 subjects, male and female, with ages from 14-54 years old, distributed in primary and college levels in Patrocínio-MG composed this study sample. The subjects answered the Multidimensional Scale of Interpersonal Reactivity and socio-demographic data. From an equation analysis and structural modeling were observed psychometric indicators that assured the structural consistency of the scale, promoting in the security of the measure theoretical construct of empathy.

  6. A Quasi-Nonmetric Method for Multidimensional Scaling via an Extended Euclidean Model.

    Science.gov (United States)

    Winsberg, Suzanne; Carroll, J. Douglas

    1989-01-01

    An Extended Two-Way Euclidean Multidimensional Scaling (MDS) model that assumes both common and specific dimensions is described and contrasted with the "standard" (Two-Way) MDS model. Illustrations with both artificial and real data on the judged similarity of nations are provided. (TJH)

  7. Using Profile Analysis via Multidimensional Scaling (PAMS) to Identify Core Profiles from the WMS-III

    Science.gov (United States)

    Frisby, Craig L.; Kim, Se-Kang

    2008-01-01

    Profile Analysis via Multidimensional Scaling (PAMS) is a procedure for extracting latent core profiles in a multitest data set. The PAMS procedure offers several advantages compared with other profile analysis procedures. Most notably, PAMS estimates individual profile weights that reflect the degree to which an individual's observed profile…

  8. Finite Mixture Multilevel Multidimensional Ordinal IRT Models for Large Scale Cross-Cultural Research

    NARCIS (Netherlands)

    M.G. de Jong (Martijn); J-B.E.M. Steenkamp (Jan-Benedict)

    2009-01-01

    textabstractWe present a class of finite mixture multilevel multidimensional ordinal IRT models for large scale cross-cultural research. Our model is proposed for confirmatory research settings. Our prior for item parameters is a mixture distribution to accommodate situations where different groups

  9. Selection of unidimensional scales from a multidimensional item bank in the polytomous Mokken IRT model

    NARCIS (Netherlands)

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

    1995-01-01

    An automated item selection procedure for selecting unidimensional scales of polytomous items from multidimensional datasets is developed for use in the context of the Mokken item response theory model of monotone homogeneity (Mokken & Lewis, 1982). The selection procedure is directly based on the s

  10. Development and Validation of the Frost Multidimensional Perfectionism Scale--Brief

    Science.gov (United States)

    Burgess, Alexandra M.; Frost, Randy O.; DiBartolo, Patricia Marten

    2016-01-01

    Twenty-five years ago, one of the first empirically validated measures of perfectionism, the Frost et al. Multidimensional Perfectionism Scale (F-MPS) was published. Since that time, psychometric studies of the original F-MPS have provided a plethora of evidence to support the potential development of a shorter yet still psychometrically robust…

  11. Classification of shoulder complaints in general practice by means of nonmetric multidimensional scaling

    NARCIS (Netherlands)

    Groenier, KH; Winters, JC; Meyboom-de Jong, B

    2003-01-01

    Objectives: To determine if a classification of shoulder complaints in general practice can be made from variables of medical history and physical examination with nonmetric multidimensional scaling and to investigate the reproducibility of results from an earlier hierarchical cluster analysis. Desi

  12. A Bayesian multidimensional scaling procedure for the spatial analysis of revealed choice data

    NARCIS (Netherlands)

    DeSarbo, WS; Kim, Y; Fong, D

    1999-01-01

    We present a new Bayesian formulation of a vector multidimensional scaling procedure for the spatial analysis of binary choice data. The Gibbs sampler is gainfully employed to estimate the posterior distribution of the specified scalar products, bilinear model parameters. The computational procedure

  13. Adaptive Multidimensional Scaling : The Spatial Representation of Brand Consideration and Dissimilarity Judgments

    NARCIS (Netherlands)

    Bijmolt, T.H.A.; Wedel, M.; DeSarbo, W.S.

    2002-01-01

    We propose Adaptive Multidimensional Scaling (AMDS) for simultaneously deriving a brand map and market segments using consumer data on cognitive decision sets and brand dissimilarities.In AMDS, the judgment task is adapted to the individual respondent: dissimilarity judgments are collected only for

  14. Psychometric Evaluation of the Serbian Version of the Multidimensional Students' Life Satisfaction Scale

    Science.gov (United States)

    Jovanovic, Veljko; Zuljevic, Dragan

    2013-01-01

    The main purpose of this study was to evaluate psychometric properties of the Serbian version of the Multidimensional Students' Life Satisfaction Scale (MSLSS). The research was carried out on a sample of 408 high school students (250 females, 158 males), with the mean age 16.6. The Serbian version of the MSLSS has demonstrated good psychometric…

  15. Sample Heterogeneity and the Measurement Structure of the Multidimensional Students' Life Satisfaction Scale

    Science.gov (United States)

    Sawatzky, Richard; Ratner, Pamela A.; Johnson, Joy L.; Kopec, Jacek A.; Zumbo, Bruno D.

    2009-01-01

    Several measurement assumptions were examined with the goal of assessing the validity of the Multidimensional Students' Life Satisfaction Scale (MSLSS), a measure of adolescents' satisfaction with their family, friends, living environment, school, self, and general quality of life. The data were obtained via a cross-sectional survey of 8,225…

  16. Diagnostic Efficiency of the Child and Parent Versions of the Multidimensional Anxiety Scale for Children

    Science.gov (United States)

    Villabo, Marianne; Gere, Martina; Torgersen, Svenn; March, John S.; Kendall, Philip C.

    2012-01-01

    The objective of this study is to evaluate the psychometrics and clinical efficiency of the Multidimensional Anxiety Scale for Children (MASC), which measures physical symptoms, harm avoidance, social anxiety, and separation/panic. Using a sample of 190 treatment-seeking Norwegian youth (aged 7-13 years, M[subscript age] = 10.3 years, 62.1% male),…

  17. TSCALE: A New Multidimensional Scaling Procedure Based on Tversky's Contrast Model.

    Science.gov (United States)

    DeSarbo, Wayne S.; And Others

    1992-01-01

    TSCALE, a multidimensional scaling procedure based on the contrast model of A. Tversky for asymmetric three-way, two-mode proximity data, is presented. TSCALE conceptualizes a latent dimensional structure to describe the judgmental stimuli. A Monte Carlo analysis and two consumer psychology applications illustrate the procedure. (SLD)

  18. Measuring Multidimensional Subjective Well-Being with the I COPPE Scale in a Hispanic Sample

    Science.gov (United States)

    Myers, Nicholas D.; Park, Sung Eun; Lefevor, G. Tyler; Dietz, Samantha; Prilleltensky, Isaac; Prado, Guillermo J.

    2016-01-01

    The purpose of this study was to provide initial validity evidence for measuring multidimensional subjective well-being in a Hispanic sample with the Interpersonal, Community, Occupational, Physical, Psychological, Economic (I COPPE) Scale. Participants were 641 English-speaking adults who self-identified as Hispanic. Bi-factor analyses were used…

  19. Validity of the Multidimensional Health Locus of Control Scales in American Sign Language

    OpenAIRE

    Athale, Ninad; Aldridge, Arianna; Malcarne, Vanessa L.; Nakaji, Melanie; Samady, Waheeda; Sadler, Georgia Robins

    2010-01-01

    Few instruments have been translated and validated for people who use American Sign Language (ASL) as their preferred language. This study examined the reliability and validity of a new ASL version of the widely-used Multidimensional Health Locus of Control (MHLC) scales. Deaf individuals (N = 311) were shown the ASL version via videotape, and their responses were recorded. Confirmatory factor analysis supported the four-factor structure of the MHLC. Scale reliabilities (Cronbach’s alphas) ra...

  20. Bifactor models and rotations: exploring the extent to which multidimensional data yield univocal scale scores.

    Science.gov (United States)

    Reise, Steven P; Moore, Tyler M; Haviland, Mark G

    2010-11-01

    The application of psychological measures often results in item response data that arguably are consistent with both unidimensional (a single common factor) and multidimensional latent structures (typically caused by parcels of items that tap similar content domains). As such, structural ambiguity leads to seemingly endless "confirmatory" factor analytic studies in which the research question is whether scale scores can be interpreted as reflecting variation on a single trait. An alternative to the more commonly observed unidimensional, correlated traits, or second-order representations of a measure's latent structure is a bifactor model. Bifactor structures, however, are not well understood in the personality assessment community and thus rarely are applied. To address this, herein we (a) describe issues that arise in conceptualizing and modeling multidimensionality, (b) describe exploratory (including Schmid-Leiman [Schmid & Leiman, 1957] and target bifactor rotations) and confirmatory bifactor modeling, (c) differentiate between bifactor and second-order models, and (d) suggest contexts where bifactor analysis is particularly valuable (e.g., for evaluating the plausibility of subscales, determining the extent to which scores reflect a single variable even when the data are multidimensional, and evaluating the feasibility of applying a unidimensional item response theory (IRT) measurement model). We emphasize that the determination of dimensionality is a related but distinct question from either determining the extent to which scores reflect a single individual difference variable or determining the effect of multidimensionality on IRT item parameter estimates. Indeed, we suggest that in many contexts, multidimensional data can yield interpretable scale scores and be appropriately fitted to unidimensional IRT models.

  1. Large-scale comparative visualisation of sets of multidimensional data

    CERN Document Server

    Vohl, Dany; Fluke, Christopher J; Poudel, Govinda; Georgiou-Karistianis, Nellie; Hassan, Amr H; Benovitski, Yuri; Wong, Tsz Ho; Kaluza, Owen; Nguyen, Toan D; Bonnington, C Paul

    2016-01-01

    We present encube $-$ a qualitative, quantitative and comparative visualisation and analysis system, with application to high-resolution, immersive three-dimensional environments and desktop displays. encube extends previous comparative visualisation systems by considering: 1) the integration of comparative visualisation and analysis into a unified system; 2) the documentation of the discovery process; and 3) an approach that enables scientists to continue the research process once back at their desktop. Our solution enables tablets, smartphones or laptops to be used as interaction units for manipulating, organising, and querying data. We highlight the modularity of encube, allowing additional functionalities to be included as required. Additionally, our approach supports a high level of collaboration within the physical environment. We show how our implementation of encube operates in a large-scale, hybrid visualisation and supercomputing environment using the CAVE2 at Monash University, and on a local deskt...

  2. Assessing the assumption of symmetric proximity measures in the context of multidimensional scaling.

    Science.gov (United States)

    Kelley, Ken

    2004-01-01

    Applications of multidimensional scaling often make the assumption of symmetry for the population matrix of proximity measures. Although the likelihood of such an assumption holding true varies from one area of research to another, formal assessment of such an assumption has received little attention. The present article develops a nonparametric procedure that can be used in a confirmatory fashion or in an exploratory fashion in order to probabilistically assess the assumption of population symmetry for proximity measures in a multidimensional scaling context. The proposed procedure makes use of the bootstrap technique and alleviates the assumptions of parametric statistical procedures. Computer code for R and S-Plus is included in an appendix in order to carry out the proposed procedures.

  3. Large-scale comparative visualisation of sets of multidimensional data

    Directory of Open Access Journals (Sweden)

    Dany Vohl

    2016-10-01

    Full Text Available We present encube—a qualitative, quantitative and comparative visualisation and analysis system, with application to high-resolution, immersive three-dimensional environments and desktop displays. encube extends previous comparative visualisation systems by considering: (1 the integration of comparative visualisation and analysis into a unified system; (2 the documentation of the discovery process; and (3 an approach that enables scientists to continue the research process once back at their desktop. Our solution enables tablets, smartphones or laptops to be used as interaction units for manipulating, organising, and querying data. We highlight the modularity of encube, allowing additional functionalities to be included as required. Additionally, our approach supports a high level of collaboration within the physical environment. We show how our implementation of encube operates in a large-scale, hybrid visualisation and supercomputing environment using the CAVE2 at Monash University, and on a local desktop, making it a versatile solution. We discuss how our approach can help accelerate the discovery rate in a variety of research scenarios.

  4. Translation of the Multidimensional Health Locus of Control Scales for Users of American Sign Language

    OpenAIRE

    Samady, Waheeda; Sadler, Georgia Robins; Nakaji, Melanie; Malcarne, Vanessa L.; Trybus, Raymond; Athale, Ninad

    2008-01-01

    This paper describes the translation of the Multidimensional Health Locus of Control (MHLC) scales into American Sign Language (ASL). Translation is an essential first step toward validating the instrument for use in the Deaf community, a commonly overlooked minority community. This translated MHLC/ASL can be utilized by public health nurses researching the Deaf community to create and evaluate targeted health interventions. It can be used in clinical settings to guide the context of the prov...

  5. Translation and cultural adaptation of the Multidimensional Scale of Perceived Social Support for Greece

    OpenAIRE

    Paraskevi Theofilou

    2015-01-01

    Recently, there is a surge of interest in the use of the Multidimensional Scale of Perceived Social Support (MSPSS) to measure perceived social support across cultures. The objective of this study was to translate and make the cultural adaptation of the Greek version of the MSPSS. The study counted with a sample of 10 patients diagnosed with multiple sclerosis. The process involved the following steps of translation back translation and semantic evaluation. The former revealed good acceptance...

  6. Multidimensional Scaling and Genetic Algorithms : A Solution Approach to Avoid Local Minima

    OpenAIRE

    Etschberger, Stefan; Hilbert, Andreas

    2002-01-01

    Multidimensional scaling is very common in exploratory data analysis. It is mainly used to represent sets of objects with respect to their proximities in a low dimensional Euclidean space. Widely used optimization algorithms try to improve the representation via shifting its coordinates in direction of the negative gradient of a corresponding fit function. Depending on the initial configuration, the chosen algorithm and its parameter settings there is a possibility for the algorithm to termin...

  7. Repeated assessment of temporomandibular joint pain : Reasoned decision-making with use of unidimensional and multidimensional pain scales

    NARCIS (Netherlands)

    Kropmans, TJB; Dijkstra, PU; Stegenga, B; Stewart, R; de Bont, LGM

    2002-01-01

    Background: There are no reports in the literature about patients with painfully restricted temporomandibular joints concerning the reliability of unidimensional and multidimensional pain scales on the basis of a generalizability and decision study. Generalizability and decision studies are designed

  8. Nonlinear multidimensional scaling and visualization of earthquake clusters over space, time and feature space

    Directory of Open Access Journals (Sweden)

    W. Dzwinel

    2005-01-01

    Full Text Available We present a novel technique based on a multi-resolutional clustering and nonlinear multi-dimensional scaling of earthquake patterns to investigate observed and synthetic seismic catalogs. The observed data represent seismic activities around the Japanese islands during 1997-2003. The synthetic data were generated by numerical simulations for various cases of a heterogeneous fault governed by 3-D elastic dislocation and power-law creep. At the highest resolution, we analyze the local cluster structures in the data space of seismic events for the two types of catalogs by using an agglomerative clustering algorithm. We demonstrate that small magnitude events produce local spatio-temporal patches delineating neighboring large events. Seismic events, quantized in space and time, generate the multi-dimensional feature space characterized by the earthquake parameters. Using a non-hierarchical clustering algorithm and nonlinear multi-dimensional scaling, we explore the multitudinous earthquakes by real-time 3-D visualization and inspection of the multivariate clusters. At the spatial resolutions characteristic of the earthquake parameters, all of the ongoing seismicity both before and after the largest events accumulates to a global structure consisting of a few separate clusters in the feature space. We show that by combining the results of clustering in both low and high resolution spaces, we can recognize precursory events more precisely and unravel vital information that cannot be discerned at a single resolution.

  9. On multidimensional scaling and the embedding of self-organising maps.

    Science.gov (United States)

    Yin, Hujun

    2008-01-01

    The self-organising map (SOM) and its variant, visualisation induced SOM (ViSOM), have been known to yield similar results to multidimensional scaling (MDS). However, the exact connection has not been established. In this paper, a review on the SOM and its cost function and topological measures is provided first. We then examine the exact scaling effect of the SOM and ViSOM from their objective functions. The SOM is shown to produce a qualitative, nonmetric scaling, while the local distance-preserving ViSOM produces a quantitative or metric scaling. Their relationship with the principal manifold is also discussed. The SOM-based methods not only produce topological or metric scaling but also provide a principal manifold. Furthermore a growing ViSOM is proposed to aid the adaptive embedding of highly nonlinear manifolds. Examples and comparisons with other embedding methods such as Isomap and local linear embedding are also presented.

  10. Reliability and Validity of the Multidimensional Scale of Life Skills in Late Childhood

    Directory of Open Access Journals (Sweden)

    Minoru Takakura

    2013-04-01

    Full Text Available This study investigated the reliability and validity of the Multidimensional Scale of Life Skills in Late Childhood, an instrument designed to measure a concept similar to “zest for living” in late childhood. A total of 1,888 elementary school students in the 4th, 5th, and 6th grades residing in urban and suburban areas as well as in remote islands of 3 prefectures (Okinawa, Kagoshima, and Nagasaki were surveyed. On the basis of our analysis, 24 items and seven factors were extracted. These factors are problem-solving/synthesis, relationship with friends, personal manners, decision-making and future planning, self-learning, collecting and using information, and leadership. Cronbach’s alpha reliability coefficients were computed for each subscale and ranged from 0.71 to 0.87. Test-retest reliability coefficient values ranged from 0.68 to 0.79. To examine the construct validity of the scales, a goodness-of-fit model was determined by confirmatory factor analysis, and satisfactory values were found (GFI = 0.952, AGFI = 0.937, CFI = 0.966, RMSEA = 0.016. The validity of the goodness-of-fit model and the reliability of the scales indicate that the Multidimensional Scale of Life Skills in Late Childhood is an effective assessment tool.

  11. Comparing Two Short Forms of the Hewitt-Flett Multidimensional Perfectionism Scale.

    Science.gov (United States)

    Stoeber, Joachim

    2016-07-22

    Hewitt and Flett's 45-item Multidimensional Perfectionism Scale is a widely used instrument to assess self-oriented, other-oriented, and socially prescribed perfectionism. With 45 items, it is not overly lengthy, but there are situations where a short form is useful. Analyzing data from four samples, this article compares two frequently used 15-item short forms of the Multidimensional Perfectionism Scale-Cox et al.'s and Hewitt et al.'s-by examining to what degree their scores replicate the original version's correlations with various personality characteristics (e.g., traits, social goals, personal/interpersonal orientations). Regarding self-oriented and socially prescribed perfectionism, both short forms performed well. Regarding other-oriented perfectionism, however, Cox et al.'s short form (exclusively composed of negatively worded items) performed less well than Hewitt et al.'s (which contains no negatively worded items). It is recommended that researchers use Hewitt et al.'s short form to assess other-oriented perfectionism rather than Cox et al.'s.

  12. FUEL STATIONS BRAND POSITIONING PROCESS: AN APPLICATION WITH MULTIDIMENSIONAL SCALING ANALYSIS IN ISPARTA

    Directory of Open Access Journals (Sweden)

    Didar BÜYÜKER İŞLER

    2014-06-01

    Full Text Available Oil industry, one of the most prominent figures of energy market of Turkey, is also considered among driving powers behind the country’s economy. The competition among petrol stations in oil industry is quite profound both in local and global dimensions. It is of vital importance for petrol stations to set their strategies of brand positioning so that they can ensure consumer loyalty and brand continuity and attract new consumers. This study aims at identifying consumer perception regarding petrol stations through multidimensional scaling analysis in order to determine how petrol stations position their brands. To that end, the consumers were asked to evaluate the similarities and differences among five most known petrol station brands in Turkey with regards to some dimensions in consequence of the data acquired from the literature research. Thus, stations with great resemblance and those with no relevance were determined as a result of the study. Multidimensional scaling analysis allows petrol stations to conduct their own self-assessments in consideration of their positions in the market. It was found that for nearly all criteria consumers perceive Petrol Ofisi and Opet as brands which they never give preference to one another while other stations (Total, BP and Shell might be given preference to one another. However, Shell was perceived distinctively with only regards to its image/style and credit card offers.

  13. Using Profile Analysis via Multidimensional Scaling (PAMS) to identify core profiles from the WMS-III.

    Science.gov (United States)

    Frisby, Craig L; Kim, Se-Kang

    2008-03-01

    Profile Analysis via Multidimensional Scaling (PAMS) is a procedure for extracting latent core profiles in a multitest data set. The PAMS procedure offers several advantages compared with other profile analysis procedures. Most notably, PAMS estimates individual profile weights that reflect the degree to which an individual's observed profile approximates the shape and scatter of latent core profiles. The PAMS procedure was applied to index scores of nonreplicated participants from the standardization sample (N = 1,033) for the Wechsler Memory Scale--Third Edition (D. Tulsky, J. Zhu, & M. F. Ledbetter, 2002). PAMS extracted discrepant visual memory and auditory memory versus working memory core profiles for the complete 16- to 89-year-old sample and discrepant working memory and auditory memory versus working memory core profiles for the 75- to 89-year-old cohort. Implications for use of PAMS in future research are discussed.

  14. Identifying Differences in Foreign Customers´ Relational Behavior: An Exploratory Study Using Multidimensional Scaling

    Directory of Open Access Journals (Sweden)

    Björn Sven Ivens

    2009-01-01

    Full Text Available A maioria das empresas industriais vende seus produtos e serviços para clientes domésticos e não-domésticos. Muitas transações de vendas estrangeiras são conduzidas no contexto dos relacionamentos comprador-vendedor em andamento. A literatura existente aponta para diferenças importantes entre relações domésticas e de exportação a longo prazo. No entanto, pouco se sabe sobre as variações entre relações de venda com clientes de diferentes mercados de exportação. Este estudo focaliza o comportamento relacional dos clientes, considerando-o como um aspecto das relações de negócios internacionais. Utilizando o escalonamento multi-dimensional, examinamos as dimensões do espaço de percepção dos gerentes de exportação alemães. Os resultados indicam que dois aspectos permitem diferenciar o comportamento trans-cultural de negócios, a saber: “coordenação” e “orientação social vs. orientação eficiente”. Palavras-chave: relações comportamentais; escala multidimensional; comportamento transcultural em negócios; relações de vendas internacionais. Abstract Most industrial companies sell their products and services to domestic and non-domestic customers. Many foreign sales transactions are conducted in the context of ongoing buyer-seller relationships. The extant literature hints to important differences between long-term domestic and export relationships in general. However, little is known about variations between selling relationships with customers from different export markets. This study focuses on customers’ relational behavior as one aspect of international business relationships. Using multidimensional scaling we examined the dimensions of German export managers’ perceptual space. The results indicate that two major aspects permit to differentiate cross-cultural business behavior, namely “coordination” and “social vs. efficiency orientation”. Key-words: relational behaviour ; multidimensional

  15. Confirmatory factor analysis of the Multi-dimensional Emotional Empathy Scale in the South African context

    Directory of Open Access Journals (Sweden)

    Chantal Olckers

    2010-03-01

    Full Text Available Orientation: Empathy is a core competency in aiding individuals to address the challenges of social living. An indicator of emotional intelligence, it is useful in a globalising and cosmopolitan world. Moreover, managing staff, stakeholders and conflict in many social settings relies on communicative skills, of which empathy forms a large part. Empathy plays a pivotal role in negotiating, persuading and influencing behaviour. The skill of being able to empathise thus enables the possessor to attune to the needs of clients and employees and provides opportunities to become responsive to these needs.Research purpose: This study attempted to determine the construct validity of the Multi-dimensional Emotional Empathy Scale within the South African context.Motivation for the study: In South Africa, a large number of psychometrical instruments have been adopted directly from abroad. Studies determining the construct validity of several of these imported instruments, however, have shown that these instruments are not suited for use in the South African context.Research design, approach and method: The study was based on a quantitative research method with a survey design. A convenience sample of 212 respondents completed the Multi-dimensional Emotional Empathy Scale. The constructs explored were Suffering, Positive Sharing, Responsive Crying, Emotional Attention, a Feel for Others and Emotional Contagion. The statistical procedure used was a confirmatory factor analysis.Main findings: The study showed that, from a South African perspective, the Multi-dimensional Emotional Empathy Scale lacks sufficient construct validity.Practical/managerial implications: Further refinement of the model would provide valuable information that would aid people to be more appreciative of individual contributions, to meet client needs and to understand the motivations of others.Contribution/value-add: From a South African perspective, the findings of this study are

  16. Chinese Frost Multidimensional Perfectionism Scale: a validation and prediction of self-esteem and psychological distress.

    Science.gov (United States)

    Cheng, S K; Chong, G H; Wong, C W

    1999-09-01

    Recent research has shown that perfectionism is an important psychological variable in explaining various disorders. This study evaluated (a) the factor structure and psychometric properties of the Chinese Frost Multidimensional Perfectionism Scale (CFMPS) and (b) the relative predictive power of its subscales for self-esteem and psychological distress, including depressive, anxiety, and stress symptoms. Nine hundred and forty-seven Chinese adolescents from Hong Kong between 13 and 18 years of age participated in the study. Results indicated that five of the original six factors emerged in the factor analysis. The CFMPS and its subscales were found to have satisfactory internal consistencies. Replicating and extending previous findings, the factors "Concern over Mistakes" and "Doubt about Action" accounted for most of the variances of self-esteem and psychological distress. The factor "Organization" might have positive value on psychological health. Possible cultural influence on the development of perfectionism and limitations of the study are discussed.

  17. A Multidimensional Scaling Study of Native and Non-Native Listeners' Perception of Second Language Speech.

    Science.gov (United States)

    Foote, Jennifer A; Trofimovich, Pavel

    2016-04-01

    Second language speech learning is predicated on learners' ability to notice differences between their own language output and that of their interlocutors. Because many learners interact primarily with other second language users, it is crucial to understand which dimensions underlie the perception of second language speech by learners, compared to native speakers. For this study, 15 non-native and 10 native English speakers rated 30-s language audio-recordings from controlled reading and interview tasks for dissimilarity, using all pairwise combinations of recordings. PROXSCAL multidimensional scaling analyses revealed fluency and aspects of speakers' pronunciation as components underlying listener judgments but showed little agreement across listeners. Results contribute to an understanding of why second language speech learning is difficult and provide implications for language training.

  18. Subjective evaluation with FAA criteria: A multidimensional scaling approach. [ground track control management

    Science.gov (United States)

    Kreifeldt, J. G.; Parkin, L.; Wempe, T. E.; Huff, E. F.

    1975-01-01

    Perceived orderliness in the ground tracks of five A/C during their simulated flights was studied. Dynamically developing ground tracks for five A/C from 21 separate runs were reproduced from computer storage and displayed on CRTS to professional pilots and controllers for their evaluations and preferences under several criteria. The ground tracks were developed in 20 seconds as opposed to the 5 minutes of simulated flight using speedup techniques for display. Metric and nonmetric multidimensional scaling techniques are being used to analyze the subjective responses in an effort to: (1) determine the meaningfulness of basing decisions on such complex subjective criteria; (2) compare pilot/controller perceptual spaces; (3) determine the dimensionality of the subjects' perceptual spaces; and thereby (4) determine objective measures suitable for comparing alternative traffic management simulations.

  19. Translation and Cultural Adaptation of the Multidimensional Scale of Perceived Social Support for Greece.

    Science.gov (United States)

    Theofilou, Paraskevi

    2015-04-13

    Recently, there is a surge of interest in the use of the Multidimensional Scale of Perceived Social Support (MSPSS) to measure perceived social support across cultures. The objective of this study was to translate and make the cultural adaptation of the Greek version of the MSPSS. The study counted with a sample of 10 patients diagnosed with multiple sclerosis. The process involved the following steps of translation back translation and semantic evaluation. The former revealed good acceptance of the translated version of the instrument, which participants considered having items of easy understanding. After completing the process of validation in the country, the instrument will become available to Greek researchers to measure social support, as well as to compare results from Greece to that of other cultures in which the instrument has already been validated.

  20. Visualizing the sedimentary response through the orogenic cycle using multi-dimensional scaling

    Science.gov (United States)

    Spencer, C. J.; Kirkland, C.

    2015-12-01

    Changing patterns in detrital provenance through time have the ability to resolve salient features of an orogenic cycle. Such changes in the age spectrum of detrital minerals can be attributed to fluctuations in the geodynamic regime (e.g. opening of seaways, initiation of subduction and arc magmatism, and transition from subduction to collisional tectonics with arrival of exotic crustal material). These processes manifest themselves through a variety of sedimentary responses due to basin formation, transition from rift to drift sedimentation, or inversion and basement unroofing. This generally is charted by the presence of older detrital zircon populations during basement unroofing events and is followed by a successive younging in the detrital zircon age signature either through arrival of young island arc terranes or the progression of subduction magmatism along a continental margin. The sedimentary response to the aforementioned geodynamic environment can be visualized using a multi-dimensional scaling approach to detrital zircon age spectra. This statistical tool characterizes the "dissimilarity" of age spectra of the various sedimentary successions, but importantly also charts this measure through time. We present three case studies in which multi-dimensional scaling reveals additional useful information on the style of basin evolution within the orogenic cycle. The Albany-Fraser Orogeny in Western Australia and Grenville Orogeny (sensu stricto) in Laurentia demonstrate clear patterns in which detrital zircon age spectra become more dissimilar with time. In stark contrast, sedimentary successions from the Meso- to Neoproterozoic North Atlantic Region reveal no consistent pattern. Rather, the North Atlantic Region reflects a signature consistent with significant zircon age communication due to a distal position from an orogenic front, oblique translation of terranes, and complexity of the continental margin. This statistical approach provides a mechanism to

  1. Inpatients with major depressive disorder: Psychometric properties of the new Multidimensional Depression Scale.

    Science.gov (United States)

    Darharaj, Mohammad; Habibi, Mojtaba; Power, Michael J; Farzadian, Farzaneh; Rahimi, Maesoumeh; Kholghi, Habibeh; Kazemitabar, Maryam

    2016-12-01

    The New Multi-dimensional Depression Scale (NMDS) is one of the most comprehensive scales that measures depression symptoms in four domains, including emotional, cognitive, somatic, and interpersonal. This study aimed to evaluate the factor structure and psychometric properties of the NMDS in a group of Iranian inpatients with Major Depressive Disorder (MDD). At first, the scale was translated into Persian and used as part of a battery consisting of the Beck Depression Inventory-II (BDI-II), Oxford Happiness Inventory (OHI), Beck Anxiety Inventory (BAI), and Short Form Health Survey (SF-36). The battery was administered to 271 inpatients with MDD (90 men and 181 women) aged from 18 to 60 who had been referred to psychiatric hospitals in Tehran, Iran. Confirmatory factor analysis of the Persian version of the NMDS upheld its original four-factor structure. Moreover, the results showed its good internal consistency (Cronbach's alpha coefficient ranging from 0.70 for the emotional subscale to 0.83 for the interpersonal subscale). In addition, the NMDS scores were correlated with other constructs in empirically and theoretically expected ways, which provides evidence for the convergent (positive significant relationships with anxiety and cognitive and somatic-affective symptoms of depression) and divergent (negative significant relationships with happiness and mental health and physical health) validity of the scale. These findings supported the Persian version of the NMDS as a reliable and valid measure for the assessment of depression symptoms in patients with MDD.

  2. Measurement Invariance of the Brief Multidimensional Student's Life Satisfaction Scale among Adolescents and Emerging Adults across 23 Cultural Contexts

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    Abubakar, Amina; van de Vijver, Fons; Alonso-Arbiol, Itziar; He, Jia; Adams, Byron; Aldhafri, Said; Aydinli-Karakulak, Arzu; Arasa, Josephine; Boer, Diana; Celenk, Ozgur; Dimitrova, Radosveta; Ferreira, Maria Cristina; Fischer, Ronald; Mbebeb, Fomba Emmanuel; Frías, María Teresa; Fresno, Andrés; Gillath, Omri; Harb, Charles; Handani, Penny; Hapunda, Given; Kamble, Shanmukh; Kosic, Marianna; Looh, Joseph Lah; Mazrui, Lubna; Mendia, Rafael Emilio; Murugami, Margaret; Mason-Li, Mei; Pandia, Weny Savitry; Perdomo, Cristina; Schachner, Maja; Sim, Samantha; Spencer, Rosario; Suryani, Angela; Tair, Ergyul

    2016-01-01

    There is hardly any cross-cultural research on the measurement invariance of the Brief Multidimensional Students' Life Satisfaction Scales (BMSLSS). The current article evaluates the measurement invariance of the BMSLSS across cultural contexts. This cross-sectional study sampled 7,739 adolescents and emerging adults in 23 countries. A multi-group…

  3. Dimensionality and Typology of Perfectionism: The Use of the Frost Multidimensional Perfectionism Scale with Chinese Gifted Students in Hong Kong

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    Chan, David W.

    2009-01-01

    This study investigated the dimensionality and typology of perfectionism based on the Frost Multidimensional Perfectionism Scale with a sample of 380 Chinese gifted students in Hong Kong. Confirmatory factor analyses supported a five-dimensional model that includes constructs of personal standards, parental expectations, parental criticism,…

  4. Assessment of Grade-Level Differences in Coping Behavior among Adolescents Using Multidimensional Scaling Single-Ideal-Point Model

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    Ding, Cody; Yang, Dong

    2013-01-01

    The purpose of the study was to examine grade-level differences in coping behaviors among adolescents using a probabilistic multidimensional scaling (MDS) single-ideal-point model. Using data from students in middle school and at college, this article illustrated the MDS single-ideal-point model as an alternative to examine students' typical…

  5. Measurement Invariance of the Brief Multidimensional Student's Life Satisfaction Scale among Adolescents and Emerging Adults across 23 Cultural Contexts

    Science.gov (United States)

    Abubakar, Amina; van de Vijver, Fons; Alonso-Arbiol, Itziar; He, Jia; Adams, Byron; Aldhafri, Said; Aydinli-Karakulak, Arzu; Arasa, Josephine; Boer, Diana; Celenk, Ozgur; Dimitrova, Radosveta; Ferreira, Maria Cristina; Fischer, Ronald; Mbebeb, Fomba Emmanuel; Frías, María Teresa; Fresno, Andrés; Gillath, Omri; Harb, Charles; Handani, Penny; Hapunda, Given; Kamble, Shanmukh; Kosic, Marianna; Looh, Joseph Lah; Mazrui, Lubna; Mendia, Rafael Emilio; Murugami, Margaret; Mason-Li, Mei; Pandia, Weny Savitry; Perdomo, Cristina; Schachner, Maja; Sim, Samantha; Spencer, Rosario; Suryani, Angela; Tair, Ergyul

    2016-01-01

    There is hardly any cross-cultural research on the measurement invariance of the Brief Multidimensional Students' Life Satisfaction Scales (BMSLSS). The current article evaluates the measurement invariance of the BMSLSS across cultural contexts. This cross-sectional study sampled 7,739 adolescents and emerging adults in 23 countries. A multi-group…

  6. Multidimensionality and scale in a landscape ethnoecological partitioning of a mountainous landscape (Gyimes, Eastern Carpathians, Romania).

    Science.gov (United States)

    Babai, Dániel; Molnár, Zsolt

    2013-02-06

    Traditional habitat knowledge is an understudied part of traditional knowledge. Though the number of studies increased world-wide in the last decade, this knowledge is still rarely studied in Europe. We document the habitat vocabulary used by Csángó people, and determine features they used to name and describe these categories. Csángó people live in Gyimes (Carpathians, Romania). The area is dominated by coniferous forests, hay meadows and pastures. Animal husbandry is the main source of living. Data on the knowledge of habitat preference of 135 salient wild plant species were collected (2908 records, 44 interviewees). Data collected indoors were counterchecked during outdoor interviews and participatory field work. Csángós used a rich and sophisticated vocabulary to name and describe habitat categories. They distinguished altogether at least 142-148 habitat types, and named them by 242 habitat terms. We argue that the method applied and the questions asked ('what kind of place does species X like?') helped the often implicit knowledge of habitats to be verbalized more efficiently than usual in an interview. Habitat names were highly lexicalized and most of them were widely shared. The main features were biotic or abiotic, like land-use, dominant plant species, vegetation structure, successional stage, disturbance, soil characteristics, hydrological, and geomorphological features. Csángós often used indicator species (28, mainly herbaceous taxa) in describing habitats of species. To prevent reduction in the quantity and/or quality of hay, unnecessary disturbance of grasslands was avoided by the Csángós. This could explain the high number of habitats (35) distinguished dominantly by the type and severity of disturbance. Based on the spatial scale and topological inclusiveness of habitat categories we distinguished macro-, meso-, and microhabitats. Csángó habitat categories were not organized into a single hierarchy, and the partitioning was

  7. A structure-based distance metric for high-dimensional space exploration with multidimensional scaling.

    Science.gov (United States)

    Lee, Jenny Hyunjung; McDonnell, Kevin T; Zelenyuk, Alla; Imre, Dan; Mueller, Klaus

    2014-03-01

    Although the euclidean distance does well in measuring data distances within high-dimensional clusters, it does poorly when it comes to gauging intercluster distances. This significantly impacts the quality of global, low-dimensional space embedding procedures such as the popular multidimensional scaling (MDS) where one can often observe nonintuitive layouts. We were inspired by the perceptual processes evoked in the method of parallel coordinates which enables users to visually aggregate the data by the patterns the polylines exhibit across the dimension axes. We call the path of such a polyline its structure and suggest a metric that captures this structure directly in high-dimensional space. This allows us to better gauge the distances of spatially distant data constellations and so achieve data aggregations in MDS plots that are more cognizant of existing high-dimensional structure similarities. Our biscale framework distinguishes far-distances from near-distances. The coarser scale uses the structural similarity metric to separate data aggregates obtained by prior classification or clustering, while the finer scale employs the appropriate euclidean distance.

  8. Validation of the Burden Index of Caregivers (BIC, a multidimensional short care burden scale from Japan

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    Hagiwara Akiko

    2006-08-01

    Full Text Available Abstract Background We constructed a concise multidimensional care burden scale that reflects circumstances unique to Japan, with a focus on intractable neurological diseases. We surveyed 646 family caregivers of patients with intractable neurological diseases or stroke using 28 preliminary care burden scale items obtained from qualitative research. The results were used to finalize the feeling of care burden scale (BIC: burden index of caregivers, and verify its reliability and validity. Methods The survey was conducted among caregivers providing home health care to patients with intractable neurological diseases (PD [Parkinson's disease], SCD [spinocerebellar degeneration], MSA [multiple system atrophy], and ALS [amyotrophic lateral sclerosis] or CVA (cerebrovascular accident using a mailed, self-administered questionnaire between November, 2003 and May, 2004. Results Response rates for neurological and CVA caregivers were 50% and 67%, respectively, or 646 in total (PD, 279; SCD, 78; MSA, 39; ALS, 30; and CVA, 220. Item and exploratory factor analyses led to a reduction to 11 items, comprising 10 items from the 5 domains of time-dependent burden, emotional burden, existential burden, physical burden, and service-related burden; and 1 item on total burden. Examination of validity showed a moderate correlation between each domain of the BIC and the SF-8 (Health related quality of life scale, Short Form-8, while the correlation coefficient of the overall BIC and CES-D was 0.62. Correlation between the BIC and ZBI, a preexisting care burden scale, was high (r = 0.84, while that with the time spent on providing care was 0.47. The ICC (Intraclass correlation coefficient by test-retest reliability was 0.83, and 0.68 to 0.80 by individual domain. Conclusion These results show that the BIC, a new care burden scale comprising 11 items, is highly reliable and valid.

  9. Deficits of musical timbre perception after unilateral temporal-lobe lesion revealed with multidimensional scaling.

    Science.gov (United States)

    Samson, Séverine; Zatorre, Robert J; Ramsay, James O

    2002-03-01

    Thirty patients with unilateral temporal lobe excisions and 15 normal control subjects were tested in a task involving judgements of timbre dissimilarity in single tone and melodic conditions. Perceptual correlates of spectral and temporal parameters resulting from changing the number of harmonics and rise-time duration, respectively, were investigated by using a multidimensional scaling technique. The results of subjects with left temporal lobe lesion suggest that they were able to use the spectral and temporal envelopes of tones independently in making perceptual judgements of single tones. In the melodic condition, their results were significantly different from those of normal control subjects, suggesting that left temporal lesions do affect subtle aspects of timbre perception, despite these patients' preserved ability to make discrimination judgements using traditional paradigms. The major finding of this study concerns perceptual ratings obtained by subjects with right temporal lobe lesion, which revealed a disturbed perceptual space in both conditions. The most distorted results were obtained with single tones, in which the temporal parameter was less prominent. Tones were grouped according to their spectral content, but the results did not reflect a coherent underlying perceptual dimension. In general, the data from both patient groups (left lesions and right lesions) showed that the extraction of temporal cues was easier in the melodic than in the single tone condition, suggesting that the different durations and frequencies heard in a musical phrase enhance the importance of certain physical parameters. The findings of the present study replicate and extend previous results showing that timbre perception depends mainly upon the integrity of right neocortical structures, although a contribution of left temporal regions is also apparent. These data also demonstrate that multidimensional techniques are sensitive to more subtle perceptual disturbances that

  10. ndex Structure for the Multi-scale Representation of Multi-dimensional Spatial Data in WebGIS

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    ZhihanLV

    2010-05-01

    Full Text Available To solve the problem that existing data structure cannot support the multi-scale representation of multi-dimensional spatial data in Web Geographic Information System (WebGIS, a modified data structurehas been put forward: (1 getting the main tree from the deformation of the index structure of region quadtree partitioned on the basis of the rule of pyramid structure; (2 possessing the sub-tree structure supporting the overlap of multi-dimensional spatial data; (3reflecting the changes in spatial resolution using the depth of thetree; (4all the nodes of the tree are the container of spatial objects. The necessity of generating the index is analyzed which is described. The algorithm for data generation of index structure, the support to the multi-dimensional data and the query process isdiscussed. For the same data source, some comparative experiments are provided using this structure and layer, and the result shows that this index method can represent and search massive multi-dimensional spatial data effectively in WebGIS. The structure has been used inShanghai multi-dimensional WebGIS system.

  11. The Multidimensional Media Influence Scale: confirmatory factor structure and relationship with body dissatisfaction among African American and Anglo American children.

    Science.gov (United States)

    Harrison, Kristen

    2009-06-01

    The Multidimensional Media Influence Scale (MMIS; Cusumano & Thompson, 2001). Media influence and body image in 8-11-year-old boys and girls: A preliminary report on the multidimensional media influence scale. International Journal of Eating Disorders, 29, 37-44) is a child-appropriate, 3-factor scale designed to assess perceived media influence on body image. It has been used in studies exploring the relationship between the entire scale as well as its subscales (awareness, internalization, and pressure) and variables related to body image. However, the 3-factor structure of the scale has never been confirmed via confirmatory factor analysis (CFA), nor has the scale been evaluated with a racially diverse sample of children. This paper reports the results of CFAs establishing the multidimensionality of the scale and the unidimensionality of its subscales among a sample of 661 girls and boys aged 7-12 years, primarily African American and Anglo American. The pressure factor of the MMIS predicted the idealization of a thinner current (child) and future (adult) body both cross-sectionally and one year later for girls and for Anglo American children.

  12. [Spanish version of the Multidimensional health locus of control scale innursing students].

    Science.gov (United States)

    Tomás-Sábado, Joaquín; Montes-Hidalgo, Javier

    2016-01-01

    To determine the preliminary psychometric properties of the Spanish form of the Multidimensional Health Locus of Control Scale (MHLC), which consists of three subscales: (1) Internalitu, (2) Powerful other externality, and (3) Chance externality. It also aims to study the relationship that the internal/external health control beliefs has with self-esteem, self-efficacy and perceived competence in a sample of nursing undergraduates. An observational and cross-sectional study including 109 nursing students who completed an anonymous questionnaire containing the demographic variables and the Spanish versions of the MHLC, the Rosenberg Self-Esteem Scale, the General Self-Efficacy Scale, and the Perceived personal competence Scale. A Cronbach's alpha coefficient of 0.713 for Internality, 0.665 for Chance and 0.728 for Powerful other were obtained. The test-retest correlation for the 18 items of the MHLC was 0.866. Internality subscale was positively and significantly correlated with self-efficacy and competence. By contrast, chance externality has negative and significant correlations with self-esteem and competence. There are no significant gender differences in any of the subscales. Younger subjects show greater tendency to external attribution. Factor analysis confirms the three-factor hypothesis. The results suggest that the Spanish form of the MHLC has adequate construct validity and acceptable metric properties. Also, they evidence the relationship between the attribution of health-related internal control with the perceived well-being and confidence in their own skills and abilities. Copyright © 2016 Elsevier España, S.L.U. All rights reserved.

  13. An examination of obsessive-compulsive symptoms and dimensions using profile analysis via multidimensional scaling (PAMS).

    Science.gov (United States)

    McKay, Dean; Kim, Se-Kang; Taylor, Steven; Abramowitz, Jonathan S; Tolin, David; Coles, Meredith; Timpano, Kiara R; Olatunji, Bunmi

    2014-05-01

    Contemporary cognitive models of obsessive-compulsive disorder (OCD) emphasize the importance of various types of dysfunctional beliefs in contributing to OC symptoms, such as beliefs about excessive personal responsibility, perfectionism, and intolerance for uncertainty. The present study seeks to further our understanding of the role of these beliefs by identifying the common profiles of such beliefs, using profile analysis via multidimensional scaling (PAMS). In Study 1, a large student sample (N=4079) completed the 44-item obsessive beliefs questionnaire. One major profile, control of thoughts and perfectionism, was extracted. Study 2 examined profiles of the 87-item obsessive beliefs questionnaire in people with obsessive-compulsive disorder (OCD; n=398), other anxiety disorders (n=104), and a sample of undergraduate students (n=285). Inflated responsibility was a prominent subscale in the profiles of all three groups. Only control over thoughts was a unique subscale in the profile obtained for the OCD group, with this group having lower scores compared to the other groups. The results suggest that while inflated responsibility is a significant subscale in the profile of individuals with OCD, it is not a unique contributor; instead, control over thoughts is unique to OCD. The data, as well as recent research investigating obsessive beliefs, suggest the need to revise the contemporary cognitive model of OCD.

  14. On the use of multi-dimensional scaling and electromagnetic tracking in high dose rate brachytherapy.

    Science.gov (United States)

    Götz, Theresa Ida; Ermer, Maximilian; Salas-Gonzalez, D; Kellermeier, Markus; Strnad, Vratislav; Bert, Christoph; Hensel, Bernhard; Tome, Ana Maria; Lang, Elmar W

    2017-08-30

    High Dose Rate Brachytherapy (HDR-BT) affords a frequent reassurance of the precise dwell positions of the radiation source. The corresponding dwell position determinations are realized with an electromagnetic tracking system (EMT). Because the treatment extends over several days, repeated dwell position determinations refer to varying coordinate systems centered in the field generator of the EMT system. After surgical implantation of the catheters a computed tomography (CT) X-ray image is taken followed by an immediate dwell position determination by the EMT system. The CT image serves to generate a treatment plan which determines dwell positions and dwell times for the radiation treatment. However, CT - and EMT - coordinates refer to different coordinate systems, hence an external reference is usually employed. The current investigation proposes a multi-dimensional scaling transformation of both data sets to estimate dwell positions without any external reference. Furthermore, the related distributions of dwell positions are characterized by uni - or bi - modal heavy - tailed distributions. The latter are well represented by alpha - stable distributions. The newly proposed data analysis provides dwell position deviations with high accuracy, and, furthermore, offers a convenient visualization of the actual shapes of the catheters which guide the radiation source during the treatment. © 2017 Institute of Physics and Engineering in Medicine.

  15. Sexual Motivations and Ideals Distinguish Sexual Identities within the Self-Concept: A Multidimensional Scaling Analysis

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    Celeste Sangiorgio

    2014-04-01

    Full Text Available Many studies explore when and how young people make sexual choices but few empirical investigations link their sexual motivations with their inner conceptions about their sexual identities. We used multidimensional scaling (MDS analysis to connect young adult participants’ (N = 128 self-descriptions of twelve identities to their sexual motivations and ideals. Identities clustered along two semantically distinct dimensions: Dimension 1 was anchored by family identities on one side and non-family identities on the other; Dimension 2 was anchored on one side by friend/romantic relationships and achievement-based social identities on the other. Those who cited intimacy (e.g., sex as an expression of love and enhancement (e.g., gratification; to feel good sexual motivations were more likely to describe their sexual identities and gender identities as distinct from other identities, especially for women. Idealizing physically passionate relationships was positively linked to a higher distinction between sexual and non-sexual identities, and between gender and personal identities and family identities. The mental structuring of identities may inform sexual relationship motives, ideals, and expectations.

  16. The Academic Resilience Scale (ARS-30: A new multidimensional construct measure

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    Simon Cassidy

    2016-11-01

    Full Text Available Resilience is a psychological construct observed in some individuals that accounts for success despite adversity. Resilience reflects the ability to bounce back, to beat the odds and is considered an asset in human characteristic terms. Academic resilience contextualises the resilience construct and reflects an increased likelihood of educational success despite adversity. The paper provides an account of the development of a new measure of academic resilience. The 30 item Academic Resilience Scale (ARS-30 explores process—as opposed to outcome—aspects of resilience, providing a new multidimensional construct measure of academic resilience based on students’ specific adaptive cognitive-affective and behavioural responses to academic adversity. Findings from the study involving a sample of undergraduate students (N=532 demonstrate that the ARS-30 has good internal reliability and construct validity. It is suggested that a measure such as the ARS-30, which is based on adaptive responses, aligns more closely with the conceptualisation of resilience and provides a valid construct measure of academic resilience relevant for research and practice in university student populations.

  17. The Academic Resilience Scale (ARS-30): A New Multidimensional Construct Measure

    Science.gov (United States)

    Cassidy, Simon

    2016-01-01

    Resilience is a psychological construct observed in some individuals that accounts for success despite adversity. Resilience reflects the ability to bounce back, to beat the odds and is considered an asset in human characteristic terms. Academic resilience contextualizes the resilience construct and reflects an increased likelihood of educational success despite adversity. The paper provides an account of the development of a new multidimensional construct measure of academic resilience. The 30 item Academic Resilience Scale (ARS-30) explores process—as opposed to outcome—aspects of resilience, providing a measure of academic resilience based on students’ specific adaptive cognitive-affective and behavioral responses to academic adversity. Findings from the study involving a sample of undergraduate students (N = 532) demonstrate that the ARS-30 has good internal reliability and construct validity. It is suggested that a measure such as the ARS-30, which is based on adaptive responses, aligns more closely with the conceptualisation of resilience and provides a valid construct measure of academic resilience relevant for research and practice in university student populations. PMID:27917137

  18. Psychometric proprieties of the portuguese version of the frost multidimensional perfectionism scale

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    Marco Estêvão Coreia

    2017-01-01

    Full Text Available Perfectionism is defined as the desire to achieve the highest standards of performance, in combination with unduly critical evaluations of one’s performance. This study was designed to analyse the psychometric proprieties of the Portuguese version of the Frost Multidimensional Perfectionism Scale through confirmatory factor analysis in two different samples (calibration with 350 adolescent athletes and validation with 206 adolescent athletes. The confirmatory factor analysis suggested that after dropping items with low factor loadings, the six-factor model showed good fit (χ 2 = 292.83, B-S p < 0.001; χ 2/d f = 1.693, PCFI = 0.79, PGFI = 0.70, CFI = 0.96, GFI = 0.93, RMSEA = 0.045. All constructs presented good internal consistency, convergent and discriminant validity. A multi-group analysis exposed the cross validity of the model. The correlations between perfectionism, fear of failure and sport anxiety measures revealed evidence of its concurrent validity, providing evidence for the proposed model. Overall, the results of the present study provided evidence for these instruments’ validity and reliability, however further investigations are required.

  19. Comprehending Adverbs of Doubt and Certainty in Health Communication: A Multidimensional Scaling Approach.

    Science.gov (United States)

    Segalowitz, Norman S; Doucerain, Marina M; Meuter, Renata F I; Zhao, Yue; Hocking, Julia; Ryder, Andrew G

    2016-01-01

    This research explored the feasibility of using multidimensional scaling (MDS) analysis in novel combination with other techniques to study comprehension of epistemic adverbs expressing doubt and certainty (e.g., evidently, obviously, probably) as they relate to health communication in clinical settings. In Study 1, Australian English speakers performed a dissimilarity-rating task with sentence pairs containing the target stimuli, presented as "doctors' opinions." Ratings were analyzed using a combination of cultural consensus analysis (factor analysis across participants), weighted-data classical-MDS, and cluster analysis. Analyses revealed strong within-community consistency for a 3-dimensional semantic space solution that took into account individual differences, strong statistical acceptability of the MDS results in terms of stress and explained variance, and semantic configurations that were interpretable in terms of linguistic analyses of the target adverbs. The results confirmed the feasibility of using MDS in this context. Study 2 replicated the results with Canadian English speakers on the same task. Semantic analyses and stress decomposition analysis were performed on the Australian and Canadian data sets, revealing similarities and differences between the two groups. Overall, the results support using MDS to study comprehension of words critical for health communication, including in future studies, for example, second language speaking patients and/or practitioners. More broadly, the results indicate that the techniques described should be promising for comprehension studies in many communicative domains, in both clinical settings and beyond, and including those targeting other aspects of language and focusing on comparisons across different speech communities.

  20. Preattentive processing of emotional musical tones: a multidimensional scaling and ERP study

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    Thomas F Münte

    2013-09-01

    Full Text Available Musical emotion can be conveyed by subtle variations in timbre. Here, we investigated whether the brain is capable to discriminate tones differing in emotional expression by recording event-related potentials (ERPs in an oddball paradigm under preattentive listening conditions. First, using multidimensional Fechnerian scaling, pairs of violin tones played with a happy or sad intonation were rated same or different by a group of non-musicians. Three happy and three sad tones were selected for the ERP experiment. The Fechnerian distances between tones within an emotion were in the same range as the distances between tones of different emotions. In two conditions, either 3 happy and 1 sad or 3 sad and 1 happy tone were presented in pseudo-random order. A mismatch negativity for the emotional deviant was observed, indicating that in spite of considerable perceptual differences between the three equiprobable tones of the standard emotion, a template was formed based on timbral cues against which the emotional deviant was compared. Based on Juslin’s assumption of redundant code usage, we propose that tones were grouped together, because they were identified as belonging to one emotional category based on different emotion-specific cues. These results indicate that the brain forms an emotional memory trace at a preattentive level and thus extends previous investigations in which emotional deviance was confounded with physical dissimilarity. Differences between sad and happy tones were observed which might be due to the fact that the happy emotion is mostly communicated by suprasegmental features.

  1. Preattentive processing of emotional musical tones: a multidimensional scaling and ERP study.

    Science.gov (United States)

    Spreckelmeyer, Katja N; Altenmüller, Eckart; Colonius, Hans; Münte, Thomas F

    2013-01-01

    Musical emotion can be conveyed by subtle variations in timbre. Here, we investigated whether the brain is capable to discriminate tones differing in emotional expression by recording event-related potentials (ERPs) in an oddball paradigm under preattentive listening conditions. First, using multidimensional Fechnerian scaling, pairs of violin tones played with a happy or sad intonation were rated same or different by a group of non-musicians. Three happy and three sad tones were selected for the ERP experiment. The Fechnerian distances between tones within an emotion were in the same range as the distances between tones of different emotions. In two conditions, either 3 happy and 1 sad or 3 sad and 1 happy tone were presented in pseudo-random order. A mismatch negativity for the emotional deviant was observed, indicating that in spite of considerable perceptual differences between the three equiprobable tones of the standard emotion, a template was formed based on timbral cues against which the emotional deviant was compared. Based on Juslin's assumption of redundant code usage, we propose that tones were grouped together, because they were identified as belonging to one emotional category based on different emotion-specific cues. These results indicate that the brain forms an emotional memory trace at a preattentive level and thus, extends previous investigations in which emotional deviance was confounded with physical dissimilarity. Differences between sad and happy tones were observed which might be due to the fact that the happy emotion is mostly communicated by suprasegmental features.

  2. Translation of the multidimensional health locus of control scales for users of American sign language.

    Science.gov (United States)

    Samady, Waheeda; Samady, Waheedy; Sadler, Georgia Robins; Nakaji, Melanie; Malcarne, Vanessa L; Trybus, Raymond; Athale, Ninad

    2008-01-01

    This paper describes the translation of the Multidimensional Health Locus of Control (MHLC) scales into American Sign Language (ASL). Translation is an essential first step toward validating the instrument for use in the Deaf community, a commonly overlooked minority community. This translated MHLC/ASL can be utilized by public health nurses researching the Deaf community to create and evaluate targeted health interventions. It can be used in clinical settings to guide the context of the provider-patient dialogue. The MHLC was translated using focus groups, following recommended procedures. 5 bilingual participants translated the MHLC into ASL; 5 others back-translated the ASL version into English. Both focus groups identified and addressed language and cultural problems before the final ASL version of the MHLC was permanently captured by motion picture photography for consistent administration. Nine of the 24 items were directly translatable into ASL. The remaining items required further discussion to achieve cultural equivalence with ASL expressions. The MHLC/ASL is now ready for validation within the Deaf community.

  3. Unimodal and Multi-Modal Perception of Cellular Phones: A Multidimensional Scaling Study

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    Yusuke Yamani

    2011-10-01

    Full Text Available Previous studies suggest that subjects gain modality-specific information across vision and tactile (Newell, Ernst, Tjan, & Bülthoff, 2001 and form a coherent percept (Ernst & Bülthoff, 2004. This study explored potential difference in perceiving real-world objects (cellular phones uni-modally (visual or haptic and bimodally. In phase 1, subjects provided verbal descriptions of 9 different phones while interacting in a visual, haptic, or cross-modal manner. In phase 2, a new group of subjects performed a card-sorting task using on the descriptions obtained in phase 1, with the instructions to sort descriptions based on similarity. A multidimensional scaling (MDS analysis was applied to similarity matrices produced in phase 2. Stress values for MDS fits of varying dimensionality were similar for haptic, visual, and bimodal conditions, suggesting that different inspection conditions produced mental representations of similar complexity. Inspection of 2D plots of descriptors across the three condition suggests that dimensions of usability and style. Results imply that people extract largely redundant information across different sensory modalities while evaluating cellular phones.

  4. Understanding self-report Multidimensional Attitudes Scale Toward People with Disabilities: An exploratory analysis.

    Science.gov (United States)

    Lu, Junfei; Kim, Ki Hyun

    2017-05-01

    This study aimed to explore the factor structure of the Multidimensional Attitudes Scale Toward People With Disabilities (MAS) using participants from South Korea and assess the impact of participants' social desirability on this South Korean version of the MAS (MAS-K). Research Method/Design: One hundred eighty-nine college students without disabilities from 4 universities in South Korea completed an online survey. Among them, 75 were females. Participants completed the MAS-K and a social desirability scale. We used principal axis factoring with promax rotation to examine the factor structure of the MAS-K, and correlations between factors and social desirability measure. We obtained a 27-item 4-factor MAS-K. Four factors were negative affect (α = .89), ease-unease (α = .75), positive cognition (α = .86), and avoidant behavior (α = .88). The interfactor correlations ranged from .18 to .61. The correlations between the social desirability measure and the 4 factors in the MAS-K ranged from -.23 to -.33. The MAS-K retrieved from this study may help researchers identify unique attitudinal factors that need to be addressed to promote social inclusion of PWD in South Korea. Moreover, the emergence of the MAS-K highlights the necessity to develop culturally relevant versions of the MAS. This line of research will facilitate researchers' worldwide investigations regarding attitudes toward PWD and discussions about the rights of PWD. Finally, this study also pointed out the potential impact of social desirability on attitude measurement using the MAS. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  5. Accurate geometric camera calibration technique using multi-views of a non-metric planar grid

    Science.gov (United States)

    Bingwei, Hui; Gongjian, Wen; Xing, Zhang; Deren, Li

    2013-04-01

    A robust geometric camera calibration technique with a non-metric planar grid is proposed. For each image of the non-metric grid, a projective model of the grid intersections represented by the grid row and column numbers is derived with sixteen physically meaningful parameters. In this model, intrinsic camera parameters and coefficients of lens distortions are involved. After several images of the same gird have been acquired by the camera awaiting calibrations, two broad steps are taken to work out the camera parameters. Firstly, with two reasonable approximations the projective parameters of all view images are solved linearly and analytically by using the properties of the rotation matrix skillfully. Secondly, with the rigorous projective formulations of non-metric grid intersections, a mathematical optimization model is established to obtain the calibration results with least squares errors. The robustness and accuracy are verified by using many real grabbed images.

  6. Multiple tests for wind turbine fault detection and score fusion using two- level multidimensional scaling (MDS)

    Science.gov (United States)

    Ye, Xiang; Gao, Weihua; Yan, Yanjun; Osadciw, Lisa A.

    2010-04-01

    Wind is an important renewable energy source. The energy and economic return from building wind farms justify the expensive investments in doing so. However, without an effective monitoring system, underperforming or faulty turbines will cause a huge loss in revenue. Early detection of such failures help prevent these undesired working conditions. We develop three tests on power curve, rotor speed curve, pitch angle curve of individual turbine. In each test, multiple states are defined to distinguish different working conditions, including complete shut-downs, under-performing states, abnormally frequent default states, as well as normal working states. These three tests are combined to reach a final conclusion, which is more effective than any single test. Through extensive data mining of historical data and verification from farm operators, some state combinations are discovered to be strong indicators of spindle failures, lightning strikes, anemometer faults, etc, for fault detection. In each individual test, and in the score fusion of these tests, we apply multidimensional scaling (MDS) to reduce the high dimensional feature space into a 3-dimensional visualization, from which it is easier to discover turbine working information. This approach gains a qualitative understanding of turbine performance status to detect faults, and also provides explanations on what has happened for detailed diagnostics. The state-of-the-art SCADA (Supervisory Control And Data Acquisition) system in industry can only answer the question whether there are abnormal working states, and our evaluation of multiple states in multiple tests is also promising for diagnostics. In the future, these tests can be readily incorporated in a Bayesian network for intelligent analysis and decision support.

  7. Comprehending Adverbs Of Doubt And Certainty In Health Communication: A Multidimensional Scaling Approach

    Directory of Open Access Journals (Sweden)

    Norman S. Segalowitz

    2016-05-01

    Full Text Available This research explored the feasibility of using multidimensional scaling (MDS analysis in novel combination with other techniques to study comprehension of epistemic adverbs expressing doubt and certainty (e.g., evidently, obviously, probably as they relate to health communication in clinical settings. In Study 1, Australian English speakers performed a dissimilarity-rating task with sentence pairs containing the target stimuli, presented as doctors' opinions. Ratings were analyzed using a combination of cultural consensus analysis (factor analysis across participants, weighted-data classical-MDS, and cluster analysis. Analyses revealed strong within-community consistency for a 3-dimensional semantic space solution that took into account individual differences, strong statistical acceptability of the MDS results in terms of stress and explained variance, and semantic configurations that were interpretable in terms of linguistic analyses of the target adverbs. The results confirmed the feasibility of using MDS in this context. Study 2 replicated the results with Canadian English speakers on the same task. Semantic analyses and stress decomposition analysis were performed on the Australian and Canadian data sets, revealing similarities and differences between the two groups. Overall, the results support using MDS to study comprehension of words critical for health communication, including in future studies, for example, second language speaking patients and/or practitioners. More broadly, the results indicate that the techniques described should be promising for comprehension studies in many communicative domains, in both clinical settings and beyond, and including those targeting other aspects of language and focusing on comparisons across different speech communities.

  8. Do Multidimensional Pain Inventory scale score changes indicate risk of receiving sick leave benefits 1 year after a pain rehabilitation programme?

    DEFF Research Database (Denmark)

    Nyberg, Vanja E; Novo, Mehmed; Sjölund, Bengt H

    2011-01-01

    To study whether scale score changes in the Multidimensional Pain Inventory (MPI) can predict which persons disabled by pain will receive sick leave benefits 1 year after completing a pain rehabilitation programme.......To study whether scale score changes in the Multidimensional Pain Inventory (MPI) can predict which persons disabled by pain will receive sick leave benefits 1 year after completing a pain rehabilitation programme....

  9. Unidimensional pain rating scales: a multidimensional affect and pain survey (MAPS) analysis of what they really measure.

    Science.gov (United States)

    Clark, W Crawford; Yang, Joseph C; Tsui, Siu Lun; Ng, Kwok-Fu; Bennett Clark, Susanne

    2002-08-01

    Pain is now regarded as 'the fifth vital sign' and patients are frequently asked to score the intensity of their pain on a numerical pain rating scale (NPRS). However, the use of a unidimensional scale is questionable in view of the belief, overwhelmingly supported by clinical experience as well as by empirical evidence from multidimensional scaling and other sources, that pain has at least two dimensions: somatosensory qualities and affect. We used a Chinese translation of the 101 descriptor multidimensional affect and pain survey (MAPS) questionnaire to determine the relative contributions of various dimensions of postoperative pain to a patient's score on a unidimensional NPRS. MAPS and NPRS were administered postoperatively to 69 patients with descending colon carcinoma who were recovering from left hemi-colectomy. Multiple linear regression revealed that the emotional pain qualities supercluster (P=0.0005) and four of its eight subclusters, anxiety, depressed mood, fear and anger, significantly (P=0.001-0.007) predicted a patient's score on the unidimensional NPRS. Notably, none of the 17 subclusters in the somatosensory pain qualities supercluster predicted NPRS scores. It may be concluded that patient scores on unidimensional pain intensity scales reflect the emotional qualities of pain much more than its sensory intensity or other qualities. Accordingly such scales are poor indicators of analgesic requirement. The results also suggest that patients' postoperative anxiety and depression are inadequately treated. Based on our findings we present six unidimensional scales that should yield a more accurate assessment of the sources of a patient's pain.

  10. Non-metric features in the ulna of Aegyptopithecus, Alouatta, Ateles, and Lagothrix.

    Science.gov (United States)

    Ybarra, M A; Conroy, G C

    1978-01-01

    A comparison of the non-metric features of the ulnar fragment (YPM 23940) referred to Aegyptopithecus zeuxis with those in the same bone of Alouatta, Ateles, and Lagothrix -- the three living taxa whose ulnae most closely resemble that of the fossil -- reveals that the closest similarities of the fragment are with the ulna of Alouatta.

  11. A Multidimensional Scaling Analysis of Own- and Cross-Race Face Spaces

    Science.gov (United States)

    Papesh, Megan H.; Goldinger, Stephen D.

    2010-01-01

    We examined predictions derived from Valentine's (1991) Multidimensional Space (MDS) framework for own- and other-race face processing. A set of 20 computerized faces was generated from a single prototype. Each face was saved as Black and White, changing only skin tone, such that structurally identical faces were represented in both race…

  12. Development of a Brief Multidimensional Aversion to Women Who Work Scale.

    Science.gov (United States)

    Valentine, Sean

    2001-01-01

    Developed a brief multidimensional measure of aversion to women who work using data collected from 175 predominantly lower income Anglo American undergraduate and graduate students. Findings indicated that the 10-item measure exhibited acceptable reliability, as well as adequate convergent and criterion validities, thus making it a potential…

  13. Reliability and validity of the Chinese version of the multidimensional anxiety scale for children among Chinese secondary school students.

    Science.gov (United States)

    Yao, Shuqiao; Zou, Tao; Zhu, Xiongzhao; Abela, John R Z; Auerbach, Randy P; Tong, Xi

    2007-06-01

    The objective of the current study was to develop a Chinese translation of the Multidimensional Anxiety Scale for Children (MASC) [March (1997) Multidimensional anxiety scale for children: Technical manual, Multi health systems, Toronto, ON], and to evaluate its reliability and validity. The original version of the MASC was translated into Chinese (MASC-C) and administered to 1,538 Chinese adolescents between the ages of 14 and 19. In comparison to the American normative sample [March (1997) Multidimensional anxiety scale for children: Technical manual, Multi health systems, Toronto, ON], Chinese adolescents reported significantly higher scores on the subscales of social anxiety and separation anxiety. Girls reported higher levels of anxiety on all subscales than males. Participants between the ages of 16 and 19 reported higher scores on the physical symptoms and harm avoidance subscales. The MASC-C exhibited strong internal consistency (Cronbach's alpha coefficient was 0.91 and the mean inter-item correlation coefficient was 0.20) and moderate test-retest reliability (intra-class correlation coefficient was 0.84 over a one-month interval). MASC scores inter-correlated a small to moderate degree with measures assessing negative life events and depressive symptoms indicating acceptable convergent validity. The results of confirmatory factor analyses indicated that the four-factor structure of the MASC was suitable for the Chinese sample. The four factor structure was also invariant across sex and age. As the Chinese translation of the MASC indicated high levels of reliability and validity, the MASC-C is appropriate for assessing anxiety in Chinese adolescents.

  14. Bio-inspired hierarchical self-assembly of nanotubes into multi-dimensional and multi-scale structures

    Science.gov (United States)

    Liu, Yong; Gao, Yuan; Lu, Qinghua; Zhou, Yongfeng; Yan, Deyue

    2011-12-01

    As inspired from nature's strategy to prepare collagen, herein we report a hierarchical solution self-assembly method to prepare multi-dimensional and multi-scale supra-structures from the building blocks of pristine titanate nanotubes (TNTs) around 10 nm. With the help of amylose, the nanotubes was continuously self-assembled into helically wrapped TNTs, highly aligned fibres, large bundles, 2D crystal facets and 3D core-shell hybrid crystals. The amyloses work as the glue molecules to drive and direct the hierarchical self-assembly process extending from microscopic to macroscopic scale. The whole self-assembly process as well as the self-assembly structures were carefully characterized by the combination methods of 1H NMR, CD, Hr-SEM, AFM, Hr-TEM, SAED pattern and EDX measurements. A hierarchical self-assembly mechanism was also proposed.As inspired from nature's strategy to prepare collagen, herein we report a hierarchical solution self-assembly method to prepare multi-dimensional and multi-scale supra-structures from the building blocks of pristine titanate nanotubes (TNTs) around 10 nm. With the help of amylose, the nanotubes was continuously self-assembled into helically wrapped TNTs, highly aligned fibres, large bundles, 2D crystal facets and 3D core-shell hybrid crystals. The amyloses work as the glue molecules to drive and direct the hierarchical self-assembly process extending from microscopic to macroscopic scale. The whole self-assembly process as well as the self-assembly structures were carefully characterized by the combination methods of 1H NMR, CD, Hr-SEM, AFM, Hr-TEM, SAED pattern and EDX measurements. A hierarchical self-assembly mechanism was also proposed. Electronic supplementary information (ESI) available: Characterization of the A/TNTs and TNT crystals. See DOI: 10.1039/c1nr11151e

  15. Extracting body image symptom dimensions among eating disorder patients: the Profile Analysis via Multidimensional Scaling (PAMS) approach.

    Science.gov (United States)

    Olatunji, Bunmi O; Kim, Se-Kang; Wall, David

    2015-09-01

    The present study employs Profile Analysis via Multidimensional Scaling (PAMS), a procedure for extracting dimensions, in order to identify core eating disorder symptoms in a clinical sample. A large sample of patients with eating disorders (N=5193) presenting for treatment completed the Eating Disorders Inventory-2 (EDI-2; Garner, 1991), and PAMS was then employed to estimate individual profile weights that reflect the degree to which an individual's observed symptom profile approximates the pattern of the dimensions. The findings revealed three symptom dimensions: Body Thinness, Body Perfectionism, and Body Awareness. Subsequent analysis using individual level data illustrate that the PAMS profiles properly operate as prototypical profiles that encapsulate all individuals' response patterns. The implications of these dimensional findings for the assessment and diagnosis of eating disorders are discussed.

  16. Analysis of the Factors Affecting Consumer’s Some Traditional Food Products Preferences by Multidimensional Scaling Method

    Directory of Open Access Journals (Sweden)

    Y. Oraman G. Unakıtan E. Yılmaz B. Başaran

    2011-01-01

    Full Text Available The aim of this study is to evaluate consumer behaviour towards factors affecting purchase decision of some traditional food products and grouping those consumer attitudes. The original data was obtained from results of a survey conducted in 14 different districts in Tekirdag. The survey consisted of face-to-face interviews conducted within a total sample of 166 households randomly. In the study, multidimensional scaling analysis is used for evaluating the effective factors of consumer preferences for traditional products and grouping their preferences. It is found that taste, food safety and freshness have similar effects on consumer preferences for yogurt, molasses and noodles. Price has an important and positive loaded effect on other variables for the three products.

  17. The Brief Multidimensional Students' Life Satisfaction Scale (BMSLSS): Reliability, validity, and gender invariance in an Indian adolescent sample.

    Science.gov (United States)

    Hashim, Jayana; Areepattamannil, Shaljan

    2017-06-01

    This study examined the internal consistency reliability, factorial, convergent, discriminant, and predictive validity, as well as gender invariance of the Brief Multidimensional Students' Life Satisfaction Scale (BMSLSS; Seligson, Huebner, & Valois, 2003) in a sample of 445 adolescents (Mage = 16.04 years) hailing from the southernmost state of India, Kerala. The study also examined the test-retest reliability (n = 392) of the BMSLSS. The Cronbach's alpha coefficient suggested that the BMSLSS was reliable. Confirmatory factor analyses demonstrated the factorial validity of the BMSLSS. Bivariate correlational analyses provided support for the convergent, discriminant, and predictive validity of the BMSLSS. The test-retest reliability coefficient indicated the temporal stability of the BMSLSS. Finally, multi-group confirmatory factor analysis provided support for the gender invariance of the BMSLSS. Copyright © 2017 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

  18. Physiological Signals based Day-Dependence Analysis with Metric Multidimensional Scaling for Sentiment Classification in Wearable Sensors

    Directory of Open Access Journals (Sweden)

    Wei Wang

    2015-01-01

    Full Text Available The interaction of the affective has emerged in implicit human-computer interaction. Given the physiological signals in the recognition process of the affective, the different positions by which the physiological signal sensors are installed in the body, along with the daily habits and moods of human beings, influence the affective physiological signals. The scalar product matrix was calculated in this study based on metric multidimensional scaling with dissimilarity matrix. Subsequently, the matrix of individual attribute reconstructs was obtained using the principal component factor. The method proposed in this study eliminates day dependence, reduces the effect of time in the physiological signals of the affective, and improves the accuracy of affection classification.

  19. Reliability and Validity of the Multidimensional Locus of Control IPC Scale in a Sample of 3668 Greek Educators

    Directory of Open Access Journals (Sweden)

    Ntina Kourmousi

    2015-11-01

    Full Text Available The Multidimensional Locus of Control IPC Scale (IPC LOC Scale is an instrument for assessing the locus of control on adults. The aim of the present study is to translate the IPC LOC Scale and evaluate its reliability and validity in a sample of Greek teachers. Data were collected from a nationwide sample of 3668 educators of all levels and specialties. The Cronbach’s alpha coefficient was used to determine the internal consistency reliability. A confirmatory factor analysis (CFA was conducted in order to test the construct validity of the questionnaire. Validity was further examined by investigating the correlation of the IPC LOC Scale with the Rosenberg self-esteem scale (RSES and its association with several demographic and work-related data. Internal consistency reliability was satisfactory with a Cronbach’s alpha above 0.70 for all LOC dimensions. CFA confirmed that the items composing the three subscales of the IPC LOC Scale measure the same construct. Also, the root mean square error of approximation (RMSEA, the comparative fit index (CFI and the goodness of fit index (GFI values were 0.053, 0.951, and 0.937, respectively for the three-factor model, further confirming the manufacturer’s theory for the three latent variables, Internality, Powerful Others, and Chance. Intercorrelations and correlation coefficients between the IPC LOC Scale and the RSES were significant, while age and sex differences were also found. The Greek version of the IPC LOC Scale was found to have satisfactory psychometric properties and could be used to evaluate the locus of control in Greek teachers.

  20. Original article Multidimensional versus unidimensional models of emotional contagion: the Emotional Contagion Scale in a Polish sample

    Directory of Open Access Journals (Sweden)

    Monika Wróbel

    2014-07-01

    Full Text Available Background The Emotional Contagion Scale (ECS measures individual differences in susceptibility to catching emotions expressed by others. Although initially the scale was reported to have a unidimensional structure, recent validation studies have suggested that the concept of emotional contagion is multidimensional. The aim of the study was therefore to test whether the structure of the ECS in a Polish sample corresponds with that observed for other non-English speaking populations. Participants and procedure The scale, translated into Polish, was completed by 633 university students in four independent samples. To investigate the factor structure of the ECS, confirmatory factor analyses of five alternative models were conducted. Results The results supported a multifaceted solution, which confirmed that susceptibility to emotional contagion may be differentiated not only across positive vs. negative states but also across discrete emotions. Moreover, the verification of internal consistency, test-retest reliability and construct validity of the Polish version indicated that its parameters are acceptable and comparable with the characteristics of other adaptations. Conclusions The Polish ECS, together with other adaptations of the scale, shows that the construct developed in the United States can be successfully measured in other cultural contexts. Thus, the Polish version can be treated as a useful tool for measuring individual differences in susceptibility to emotional contagion.

  1. A Structure-Based Distance Metric for High-Dimensional Space Exploration with Multi-Dimensional Scaling.

    Science.gov (United States)

    Lee, Jenny Hyunjung; McDonnell, Kevin T; Zelenyuk, Alla; Imre, Dan; Mueller, Klaus

    2013-07-11

    Although the Euclidean distance does well in measuring data distances within high-dimensional clusters, it does poorly when it comes to gauging inter-cluster distances. This significantly impacts the quality of global, low-dimensional space embedding procedures such as the popular multi-dimensional scaling (MDS) where one can often observe non-intuitive layouts. We were inspired by the perceptual processes evoked in the method of parallel coordinates which enables users to visually aggregate the data by the patterns the polylines exhibit across the dimension axes. We call the path of such a polyline its structure and suggest a metric that captures this structure directly in high-dimensional space. This allows us to better gauge the distances of spatially distant data constellations and so achieve data aggregations in MDS plots that are more cognizant of existing high-dimensional structure similarities. Our bi-scale framework distinguishes far-distances from near-distances. The coarser scale uses the structural similarity metric to separate data aggregates obtained by prior classification or clustering, while the finer scale employs the appropriate Euclidean distance.

  2. Multidimensional spectrometer

    Science.gov (United States)

    Zanni, Martin Thomas; Damrauer, Niels H.

    2010-07-20

    A multidimensional spectrometer for the infrared, visible, and ultraviolet regions of the electromagnetic spectrum, and a method for making multidimensional spectroscopic measurements in the infrared, visible, and ultraviolet regions of the electromagnetic spectrum. The multidimensional spectrometer facilitates measurements of inter- and intra-molecular interactions.

  3. Comparing Longitudinal Profile Patterns of Mathematics and Reading in Early Child Longitudinal Study, Kindergarten: The Profile Analysis via Multidimensional Scaling (PAMS) Approach

    Science.gov (United States)

    Kim, Se-Kang

    2010-01-01

    The aim of the study is to compare longitudinal patterns from Mathematics and Reading data from the direct child assessment of Early Child Longitudinal Study, Kindergarten (ECLS-K, US Department of Education, National Center for Education Statistics 2006), utilizing Profile Analysis via Multidimensional Scaling (PAMS). PAMS has been used initially…

  4. French Validation of the Multidimensional Attitude Scale toward Persons with Disabilities (MAS): The Case of Attitudes toward Autism and Their Moderating Factors

    Science.gov (United States)

    Dachez, Julie; Ndobo, Andre; Ameline, Anaïs

    2015-01-01

    This research investigates the renewed interest in autism, the stigmatization of persons with autism and the need to better measure such stigmatization. Two studies were thus conducted on 101 and 104 participants in order to validate the French version of the Multidimensional Attitude Scale toward persons with disabilities, and examine the…

  5. A Stochastic Multidimensional Scaling Procedure for the Spatial Representation of Three-Mode, Three-Way Pick Any/"J" Data.

    Science.gov (United States)

    Jedidi, Kamel; DeSarbo, Wayne S.

    1991-01-01

    A stochastic multidimensional scaling procedure is presented for analysis of three-mode, three-way pick any/"J" data. The procedure fits both vector and ideal-point models and characterizes the effect of situations by a set of dimension weights. An application in the area of consumer psychology is discussed. (SLD)

  6. Exploring Unidimensional Proficiency Classification Accuracy from Multidimensional Data in a Vertical Scaling Context

    Science.gov (United States)

    Kroopnick, Marc Howard

    2010-01-01

    When Item Response Theory (IRT) is operationally applied for large scale assessments, unidimensionality is typically assumed. This assumption requires that the test measures a single latent trait. Furthermore, when tests are vertically scaled using IRT, the assumption of unidimensionality would require that the battery of tests across grades…

  7. The Perceived Structure of American Ethnic Groups: The Use of Multidimensional Scaling in Stereotype Research

    Science.gov (United States)

    Funk, Sandra G.; And Others

    1976-01-01

    A methodology for stereotype research, including an experimental paradigm and an analytic method, is presented. The paradigm involves the collection of three different types of similarities data concerning ethnic groups and rating-scale adjectives. (Author/DEP)

  8. Adaptation and validation of the Sport Multidimensional Perfectionism Scale-2 (SMPS-2 for the Brazilian sport context

    Directory of Open Access Journals (Sweden)

    José Roberto Andrade do Nascimento Junior

    2015-06-01

    Full Text Available The purpose of this paper was to adapt and validate the Sport-Multidimensional Perfectionism Scale-2 (SMPS-2 for the Brazilian population using a three-step approach. For content validity, four participants translated the SMPS-2 to Portuguese and six experts adapted the content. Construct validity sample was tested with 395 athletes from a set of individual and team sports. Temporal validity was evaluated with an independent sample of 80 athletes with two data collections. Data analysis was conducted through Content Validity Coefficient (CVC, Cronbach's alpha, Composite Reliability (CR and Exploratory (EFA and Confirmatory (CFA analyses. Results showed that the Portuguese version contained clear and relevant questions (CVC > .80 and good internal consistency (α > .70/CR > .70; EFA model revealed a four factor solution with 24 items as more satisfying while CFA confirmed the SMPS-2 model with 24 items was adequate. Multi-group analysis showed partial gender invariance. Temporal stability was achieved in all 24 items of the scale (ICC > .75. We concluded that the SMPS-2 is a valid measure for the assessment of perfectionism of the Brazilian sport context.

  9. The multidimensional scale of perceived social support: analyses of internal reliability, measurement invariance, and correlates across gender.

    Science.gov (United States)

    Osman, Augustine; Lamis, Dorian A; Freedenthal, Stacey; Gutierrez, Peter M; McNaughton-Cassill, Mary

    2014-01-01

    In this study, we examined estimates of internal consistency reliability, measurement invariance, and differential correlates of the Multidimensional Scale of Perceived Social Support (MSPSS; Zimet, Dahlem, Zimet, & Farley, 1988) in samples of undergraduate men (n = 270) and women (n = 340). The MSPSS is designed to assess 3 sources of perceived social support: family, friends, and significant others. The participants ranged in age from 18 to 24 years (M(age) = 19.60, SD = 1.4 years). First, composite scale reliability and coefficient omega methods provided adequate estimates of internal consistency reliability for the original MSPSS total and subscale scores. Second, results of multiple-groups invariance confirmatory factor analysis provided support for configural and metric invariance. Partial measurement invariance was attained for scalar and strict measurement invariance across men and women. Additionally, given the high correlations among the first-order factors, we conducted multiple-groups bifactor item response theory (bifactor-IRT) analysis to evaluate further the performances of the individual MSPSS items across gender. Support for the bifactor model was strong. Third, we conducted a series of simultaneous regression analyses to identify potential correlates of the social support construct for women and men.

  10. A study of non-metric (qualitative) variation in Gujarati crania.

    Science.gov (United States)

    Pal, G P; Routal, R V; Bhagwat, S S

    1988-03-01

    Three hundred and seventy adult skulls (284 crania of unknown sex, 58 males and 28 females) from Gujarat State of India were examined for the incidence of non-metric variants and compared with other populations to establish the distance between them. In general the Gujarati incidences are of similar order to those in other series. The mean measures of divergence between Gujarati and other populations were all statistically significant (P less than 0.001). The Gujarati differed most from Australian Aborigines, but only slightly from the Burma, Punjab and Egypt samples. From the same material side and sex dimorphism was also tested to ascertain that how far sides and sexes can be pooled in Indian sample for making comparison between populations. In Gujarati population out of 22 cranial variants only four show sex difference and in case of bilateral traits, none of the variant has shown significant (P less than 0.05) side to side difference.

  11. Quantifying variability in earthquake rupture models using multidimensional scaling: application to the 2011 Tohoku earthquake

    KAUST Repository

    Razafindrakoto, Hoby

    2015-04-22

    Finite-fault earthquake source inversion is an ill-posed inverse problem leading to non-unique solutions. In addition, various fault parametrizations and input data may have been used by different researchers for the same earthquake. Such variability leads to large intra-event variability in the inferred rupture models. One way to understand this problem is to develop robust metrics to quantify model variability. We propose a Multi Dimensional Scaling (MDS) approach to compare rupture models quantitatively. We consider normalized squared and grey-scale metrics that reflect the variability in the location, intensity and geometry of the source parameters. We test the approach on two-dimensional random fields generated using a von Kármán autocorrelation function and varying its spectral parameters. The spread of points in the MDS solution indicates different levels of model variability. We observe that the normalized squared metric is insensitive to variability of spectral parameters, whereas the grey-scale metric is sensitive to small-scale changes in geometry. From this benchmark, we formulate a similarity scale to rank the rupture models. As case studies, we examine inverted models from the Source Inversion Validation (SIV) exercise and published models of the 2011 Mw 9.0 Tohoku earthquake, allowing us to test our approach for a case with a known reference model and one with an unknown true solution. The normalized squared and grey-scale metrics are respectively sensitive to the overall intensity and the extension of the three classes of slip (very large, large, and low). Additionally, we observe that a three-dimensional MDS configuration is preferable for models with large variability. We also find that the models for the Tohoku earthquake derived from tsunami data and their corresponding predictions cluster with a systematic deviation from other models. We demonstrate the stability of the MDS point-cloud using a number of realizations and jackknife tests, for

  12. Within-Semester Stability and Adjustment Correlates of the Multidimensional Perfectionism Scale.

    Science.gov (United States)

    Rice, Kenneth G.; Dellwo, Jacqueline P.

    2001-01-01

    Subscale scores from R.O. Frost, P. Marten, C. Lahart, and R. Rosenblate's (1990) Mulitdimensional Perfectionism Scale were found to be moderately stable over a 10-week period. Associations between perfectionism and self-esteem, depression, and academic integration yielded mixed support for the criterion-related validity of the scores from this…

  13. Developing Multidimensional Likert Scales Using Item Factor Analysis: The Case of Four-Point Items

    Science.gov (United States)

    Asún, Rodrigo A.; Rdz-Navarro, Karina; Alvarado, Jesús M.

    2016-01-01

    This study compares the performance of two approaches in analysing four-point Likert rating scales with a factorial model: the classical factor analysis (FA) and the item factor analysis (IFA). For FA, maximum likelihood and weighted least squares estimations using Pearson correlation matrices among items are compared. For IFA, diagonally weighted…

  14. Quantification of health states with rank-based nonmetric multidimensional scaling

    NARCIS (Netherlands)

    Krabbe, Paul F M; Salomon, Joshua A; Murray, Christopher J L

    2007-01-01

    OBJECTIVES: An alternative methodology is introduced to generate cardinal valuations of health states. This methodology is based on the ranking of differences between health states combined with an associated scaling model that transforms the individual rank data into group values on the interval le

  15. The Development of a Scale to Explore the Multidimensional Components of Good Student-Teacher Relationships

    Science.gov (United States)

    Wilkins, Julia

    2014-01-01

    The Student-Teacher Relationship Survey: Student Version was developed and assessed for factor structure using principal components analysis. No instruments measuring students' perceptions of student-teacher relationships have been developed for high school students, and scales that measure related constructs tend to view good student-teacher…

  16. A Ranking Approach on Large-Scale Graph With Multidimensional Heterogeneous Information.

    Science.gov (United States)

    Wei, Wei; Gao, Bin; Liu, Tie-Yan; Wang, Taifeng; Li, Guohui; Li, Hang

    2016-04-01

    Graph-based ranking has been extensively studied and frequently applied in many applications, such as webpage ranking. It aims at mining potentially valuable information from the raw graph-structured data. Recently, with the proliferation of rich heterogeneous information (e.g., node/edge features and prior knowledge) available in many real-world graphs, how to effectively and efficiently leverage all information to improve the ranking performance becomes a new challenging problem. Previous methods only utilize part of such information and attempt to rank graph nodes according to link-based methods, of which the ranking performances are severely affected by several well-known issues, e.g., over-fitting or high computational complexity, especially when the scale of graph is very large. In this paper, we address the large-scale graph-based ranking problem and focus on how to effectively exploit rich heterogeneous information of the graph to improve the ranking performance. Specifically, we propose an innovative and effective semi-supervised PageRank (SSP) approach to parameterize the derived information within a unified semi-supervised learning framework (SSLF-GR), then simultaneously optimize the parameters and the ranking scores of graph nodes. Experiments on the real-world large-scale graphs demonstrate that our method significantly outperforms the algorithms that consider such graph information only partially.

  17. DIMENSIONAL INTERPRETATION AND CONFIGURATION INVARIANCE IN MULTIDIMENSIONAL SCALING: AN EMPIRICAL STUDY.

    Science.gov (United States)

    Green, P; Maheshwari, A; Rao, V

    1969-04-01

    This paper is concerned with: a ) the invariance of nonmetric multi- dimensional scaling soludions over changes in stimulus domain; and b) pro- cedures for assisting the researcher in interpreting the axes of multidimen- sional scaling configurations. The stimuli consisted of the names of 17 popular brands of automobiles. Similarities and preference judgments were obtained from 37 subjects, divided into two groups of approximately equal size. Each group received 11 of the 17 stimuli. A core set of 6 stimuli was common over both groups. Each group also rated the 11 car models on 20 semantic differential scales. Results of the study suggested that the interpoint distances of bhe core set of 5 stimuli remained stable over subject groups and differences in stimulus set composition. Semantic differential ratings were used to find directions in the configurational space (obtained from overall similarity judg- ments) whose projections were maximally correlated with the outside (property) vectors. Stimulus configurations developed from the semantic differential space were highly congruent with those found by the analysis of direct similarity judgments. However, attempts to develop stimulus configurations by the "unfolding" of preference data alone did not lead to configurations which closely matched those found by the analysis of direct similarities data.

  18. Distributed Localization Algorithm for Wireless Sensor Network Based on Multidimensional Scaling and the Shortest Path Distance Correction

    Institute of Scientific and Technical Information of China (English)

    DING Yingqiang; DU Liufeng; YANG Ting; SUN Yugeng

    2009-01-01

    Sensor localization is crucial for the configuration and applications of wireless sensor network (WSN). A novel distributed localization algorithm, MDS-DC was proposed for wireless sensor network based on multidi-mensional scaling (MDS) and the shortest path distance correction. In MDS-DC, several local positioning regions with reasonable distribution were firstly constructed by an adaptive search algorithm, which ensures the mergence between the local relative maps of the adjacent local position regions and can reduce the number of common nodes in the network. Then, based on the relationships between the estimated distances and actual distances of anchors, the distance estimation vectors of sensors around anchors were corrected in each local positioning region. During the computations of the local relative coordinates, an iterative process, which is the combination of classical MDS algorithm and SMACOF algorithm, was applied. Finally, the global relative positions or absolute positions of sen-sors were obtained through merging the relative maps of all local positioning regions. Simulation results show that MDS-DC has better performances in positioning precision, energy efficiency and robustness to range error, which can meet the requirements of applications for sensor localization in WSN.

  19. A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data.

    Science.gov (United States)

    Pehlevan, Cengiz; Hu, Tao; Chklovskii, Dmitri B

    2015-07-01

    Neural network models of early sensory processing typically reduce the dimensionality of streaming input data. Such networks learn the principal subspace, in the sense of principal component analysis, by adjusting synaptic weights according to activity-dependent learning rules. When derived from a principled cost function, these rules are nonlocal and hence biologically implausible. At the same time, biologically plausible local rules have been postulated rather than derived from a principled cost function. Here, to bridge this gap, we derive a biologically plausible network for subspace learning on streaming data by minimizing a principled cost function. In a departure from previous work, where cost was quantified by the representation, or reconstruction, error, we adopt a multidimensional scaling cost function for streaming data. The resulting algorithm relies only on biologically plausible Hebbian and anti-Hebbian local learning rules. In a stochastic setting, synaptic weights converge to a stationary state, which projects the input data onto the principal subspace. If the data are generated by a nonstationary distribution, the network can track the principal subspace. Thus, our result makes a step toward an algorithmic theory of neural computation.

  20. "Real world" functioning in schizophrenia patients and healthy adults: assessing validity of the Multidimensional Scale of Independent Functioning.

    Science.gov (United States)

    Miles, Ashley A; Heinrichs, R Walter; Ammari, Narmeen

    2011-03-30

    As treatment efforts to enhance cognitive abilities in schizophrenia increase, so too does the need for a critical appraisal of instruments that measure functionality and adjustment to community living. The Multidimensional Scale of Independent Functioning (MSIF; Jaeger et al., 2003) is a promising instrument that assesses functionality in relation to different life settings, performance levels, responsibilities and environmental supports. However, its applicability to the schizophrenia population has been questioned because relevant data are scarce. This study provides descriptive and validity-related information by reporting MSIF scores in healthy community-dwelling adults (n=71) and in schizophrenia outpatients (n=156). Results show that healthy adults performed within defined "normal" ranges in most MSIF domains in comparison to schizophrenia patients who showed moderate to severe impairments. Moreover, the MSIF distinguished between the two groups with accuracy rates as high as 98% and effect sizes (standardized mean group difference) above 2.0 in almost all domains. Accordingly, the MSIF is a potentially valuable measure of community independence that can inform treatment initiatives and may be adaptable to the evaluation of functionality changes over time. The unique structure and content of information obtained by the MSIF makes it a candidate for inclusion in studies aimed at developing a new generation of instruments for the assessment of real world functioning in schizophrenia.

  1. Psychophysical similarity measure based on multi-dimensional scaling for retrieval of similar images of breast masses on mammograms

    Science.gov (United States)

    Nishimura, Kohei; Muramatsu, Chisako; Oiwa, Mikinao; Shiraiwa, Misaki; Endo, Tokiko; Doi, Kunio; Fujita, Hiroshi

    2013-02-01

    For retrieving reference images which may be useful to radiologists in their diagnosis, it is necessary to determine a reliable similarity measure which would agree with radiologists' subjective impression. In this study, we propose a new similarity measure for retrieval of similar images, which may assist radiologists in the distinction between benign and malignant masses on mammograms, and investigated its usefulness. In our previous study, to take into account the subjective impression, the psychophysical similarity measure was determined by use of an artificial neural network (ANN), which was employed to learn the relationship between radiologists' subjective similarity ratings and image features. In this study, we propose a psychophysical similarity measure based on multi-dimensional scaling (MDS) in order to improve the accuracy in retrieval of similar images. Twenty-seven images of masses, 3 each from 9 different pathologic groups, were selected, and the subjective similarity ratings for all possible 351 pairs were determined by 8 expert physicians. MDS was applied using the average subjective ratings, and the relationship between each output axis and image features was modeled by the ANN. The MDS-based psychophysical measures were determined by the distance in the modeled space. With a leave-one-out test method, the conventional psychophysical similarity measure was moderately correlated with subjective similarity ratings (r=0.68), whereas the psychophysical measure based on MDS was highly correlated (r=0.81). The result indicates that a psychophysical similarity measure based on MDS would be useful in the retrieval of similar images.

  2. Multi-Dimensional Shallow Landslide Stability Analysis Suitable for Application at the Watershed Scale

    Science.gov (United States)

    Milledge, D.; Bellugi, D.; McKean, J. A.; Dietrich, W.

    2012-12-01

    The infinite slope model is the basis for almost all watershed scale slope stability models. However, it assumes that a potential landslide is infinitely long and wide. As a result, it cannot represent resistance at the margins of a potential landslide (e.g. from lateral roots), and is unable to predict the size of a potential landslide. Existing three-dimensional models generally require computationally expensive numerical solutions and have previously been applied only at the hillslope scale. Here we derive an alternative analytical treatment that accounts for lateral resistance by representing the forces acting on each margin of an unstable block. We apply 'at rest' earth pressure on the lateral sides, and 'active' and 'passive' pressure using a log-spiral method on the upslope and downslope margins. We represent root reinforcement on each margin assuming that root cohesion is an exponential function of soil depth. We benchmark this treatment against other more complete approaches (Finite Element (FE) and closed form solutions) and find that our model: 1) converges on the infinite slope predictions as length / depth and width / depth ratios become large; 2) agrees with the predictions from state-of-the-art FE models to within +/- 30% error, for the specific cases in which these can be applied. We then test our model's ability to predict failure of an actual (mapped) landslide where the relevant parameters are relatively well constrained. We find that our model predicts failure at the observed location with a nearly identical shape and predicts that larger or smaller shapes conformal to the observed shape are indeed more stable. Finally, we perform a sensitivity analysis using our model to show that lateral reinforcement sets a minimum landslide size, while the additional strength at the downslope boundary means that the optimum shape for a given size is longer in a downslope direction. However, reinforcement effects cannot fully explain the size or shape

  3. Factor structure of a multidimensional gender identity scale in a sample of Chinese elementary school children.

    Science.gov (United States)

    Yu, Lu; Xie, Dong; Shek, Daniel T L

    2012-01-01

    This study examined the factor structure of a scale based on the four-dimensional gender identity model (Egan and Perry, 2001) in 726 Chinese elementary school students. Exploratory factor analyses suggested a three-factor model, two of which corresponded to "Felt Pressure" and "Intergroup Bias" in the original model. The third factor "Gender Compatibility" appeared to be a combination of "Gender Typicality" and "Gender Contentment" in the original model. Follow-up confirmatory factor analysis (CFA) indicated that, relative to the initial four-factor structure, the three-factor model fits the current Chinese sample better. These results are discussed in light of cross-cultural similarities and differences in development of gender identity.

  4. Factor Structure of a Multidimensional Gender Identity Scale in a Sample of Chinese Elementary School Children

    Directory of Open Access Journals (Sweden)

    Lu Yu

    2012-01-01

    Full Text Available This study examined the factor structure of a scale based on the four-dimensional gender identity model (Egan and Perry, 2001 in 726 Chinese elementary school students. Exploratory factor analyses suggested a three-factor model, two of which corresponded to “Felt Pressure” and “Intergroup Bias” in the original model. The third factor “Gender Compatibility” appeared to be a combination of “Gender Typicality” and “Gender Contentment” in the original model. Follow-up confirmatory factor analysis (CFA indicated that, relative to the initial four-factor structure, the three-factor model fits the current Chinese sample better. These results are discussed in light of cross-cultural similarities and differences in development of gender identity.

  5. Large-scale asynchronous and distributed multidimensional replica exchange molecular simulations and efficiency analysis.

    Science.gov (United States)

    Xia, Junchao; Flynn, William F; Gallicchio, Emilio; Zhang, Bin W; He, Peng; Tan, Zhiqiang; Levy, Ronald M

    2015-09-05

    We describe methods to perform replica exchange molecular dynamics (REMD) simulations asynchronously (ASyncRE). The methods are designed to facilitate large scale REMD simulations on grid computing networks consisting of heterogeneous and distributed computing environments as well as on homogeneous high-performance clusters. We have implemented these methods on NSF (National Science Foundation) XSEDE (Extreme Science and Engineering Discovery Environment) clusters and BOINC (Berkeley Open Infrastructure for Network Computing) distributed computing networks at Temple University and Brooklyn College at CUNY (the City University of New York). They are also being implemented on the IBM World Community Grid. To illustrate the methods, we have performed extensive (more than 60 ms in aggregate) simulations for the beta-cyclodextrin-heptanoate host-guest system in the context of one- and two-dimensional ASyncRE, and we used the results to estimate absolute binding free energies using the binding energy distribution analysis method. We propose ways to improve the efficiency of REMD simulations: these include increasing the number of exchanges attempted after a specified molecular dynamics (MD) period up to the fast exchange limit and/or adjusting the MD period to allow sufficient internal relaxation within each thermodynamic state. Although ASyncRE simulations generally require long MD periods (>picoseconds) per replica exchange cycle to minimize the overhead imposed by heterogeneous computing networks, we found that it is possible to reach an efficiency similar to conventional synchronous REMD, by optimizing the combination of the MD period and the number of exchanges attempted per cycle.

  6. Field scale test of multi-dimensional flow and morphodynamic simulations used for restoration design analysis

    Science.gov (United States)

    McDonald, Richard R.; Nelson, Jonathan M.; Fosness, Ryan L.; Nelson, Peter O.; Constantinescu, George; Garcia, Marcelo H.; Hanes, Dan

    2016-01-01

    Two- and three-dimensional morphodynamic simulations are becoming common in studies of channel form and process. The performance of these simulations are often validated against measurements from laboratory studies. Collecting channel change information in natural settings for model validation is difficult because it can be expensive and under most channel forming flows the resulting channel change is generally small. Several channel restoration projects designed in part to armor large meanders with several large spurs constructed of wooden piles on the Kootenai River, ID, have resulted in rapid bed elevation change following construction. Monitoring of these restoration projects includes post- restoration (as-built) Digital Elevation Models (DEMs) as well as additional channel surveys following high channel forming flows post-construction. The resulting sequence of measured bathymetry provides excellent validation data for morphodynamic simulations at the reach scale of a real river. In this paper we test the performance a quasi-three-dimensional morphodynamic simulation against the measured elevation change. The resulting simulations predict the pattern of channel change reasonably well but many of the details such as the maximum scour are under predicted.

  7. Large-Scale Multi-Dimensional Document Clustering on GPU Clusters

    Energy Technology Data Exchange (ETDEWEB)

    Cui, Xiaohui [ORNL; Mueller, Frank [North Carolina State University; Zhang, Yongpeng [ORNL; Potok, Thomas E [ORNL

    2010-01-01

    Document clustering plays an important role in data mining systems. Recently, a flocking-based document clustering algorithm has been proposed to solve the problem through simulation resembling the flocking behavior of birds in nature. This method is superior to other clustering algorithms, including k-means, in the sense that the outcome is not sensitive to the initial state. One limitation of this approach is that the algorithmic complexity is inherently quadratic in the number of documents. As a result, execution time becomes a bottleneck with large number of documents. In this paper, we assess the benefits of exploiting the computational power of Beowulf-like clusters equipped with contemporary Graphics Processing Units (GPUs) as a means to significantly reduce the runtime of flocking-based document clustering. Our framework scales up to over one million documents processed simultaneously in a sixteennode GPU cluster. Results are also compared to a four-node cluster with higher-end GPUs. On these clusters, we observe 30X-50X speedups, which demonstrates the potential of GPU clusters to efficiently solve massive data mining problems. Such speedups combined with the scalability potential and accelerator-based parallelization are unique in the domain of document-based data mining, to the best of our knowledge.

  8. Factorial Validity and Reliability of the Tamil Version of Multidimensional Scale of Perceived Social Support Among a Group of Participants in University Malaya Medical Centre, Malaysia

    OpenAIRE

    Ng Chong Guan; Abdul Rasyid Sulaiman; Loh Huai Seng; Anne Yee Hway Ann; Suzaily Wahab; Subash Kumar Pillai

    2013-01-01

    Background and Objectives: This study was done to validate the Tamil version of Multidimensional Scale of Perceived Social Support (MSPSS-TV) among a group of Indian participants in University Malaya. Materials and Methods: Ninety-four people who took part in this study were given MSPSS-TV, Medical Outcome Study (MOS) social support survey, Malay version of Beck Depression Inventory (BDI), Malay version of General Health Questionnaire (GHQ), and English version of MSPSS. After a week, these p...

  9. Quantification of health by scaling similarity judgments.

    Directory of Open Access Journals (Sweden)

    Alexander M M Arons

    Full Text Available OBJECTIVE: A new methodology is introduced to scale health states on an interval scale based on similarity responses. It could be well suited for valuation of health states on specific regions of the health continuum that are problematic when applying conventional valuation techniques. These regions are the top-end, bottom-end, and states around 'dead'. METHODS: Three samples of approximately 500 respondents were recruited via an online survey. Each sample received a different judgmental task in which similarity data were elicited for the top seven health states in the dementia quality of life instrument (DQI. These states were '111111' (no problems on any domain and six others with some problems (level 2 on one domain. The tasks presented two (dyads, three (triads, or four (quads DQI health states. Similarity data were transformed into interval-level scales with metric and non-metric multidimensional scaling algorithms. The three response tasks were assessed for their feasibility and comprehension. RESULTS: In total 532, 469, and 509 respondents participated in the dyads, triads, and quads tasks respectively. After the scaling procedure, in all three response tasks, the best health state '111111' was positioned at one end of the health-state continuum and state '111211' was positioned at the other. The correlation between the metric scales ranged from 0.73 to 0.95, while the non-metric scales ranged from 0.76 to 1.00, indicating strong to near perfect associations. There were no apparent differences in the reported difficulty of the response tasks, but the triads had the highest number of drop-outs. DISCUSSION: Multidimensional scaling proved to be a feasible method to scale health-state similarity data. The dyads and especially the quads response tasks warrant further investigation, as these tasks provided the best indications of respondent comprehension.

  10. Evaluation of multidimensional transport through a field-scale compacted soil liner

    Science.gov (United States)

    Willingham, T.W.; Werth, C.J.; Valocchi, A.J.; Krapac, I.G.; Toupiol, C.; Stark, T.D.; Daniel, D.E.

    2004-01-01

    A field-scale compacted soil liner was constructed at the University of Illinois at Urbana-Champaign by the U.S. Environmental Protection Agency (USEPA) and Illinois State Geological Survey in 1988 to investigate chemical transport rates through low permeability compacted clay liners (CCLs). Four tracers (bromide and three benzoic acid tracers) were each added to one of four large ring infiltrometers (LRIs) while tritium was added to the pond water (excluding the infiltrometers). Results from the long-term transport of Br- from the localized source zone of LRI are presented in this paper. Core samples were taken radially outward from the center of the Br- LRI and concentration depth profiles were obtained. Transport properties were evaluated using an axially symmetric transport model. Results indicate that (1) transport was diffusion controlled; (2) transport due to advection was negligible and well within the regulatory limits of ksat???1 ?? 10-7 cm/s; (3) diffusion rates in the horizontal and vertical directions were the same; and (4) small positioning errors due to compression during soil sampling did not affect the best fit advection and diffusion values. The best-fit diffusion coefficient for bromide was equal to the molecular diffusion coefficient multiplied by a tortuosity factor of 0.27, which is within 8% of the tortuosity factor (0.25) found in a related study where tritium transport through the same liner was evaluated. This suggests that the governing mechanisms for the transport of tritium and bromide through the CCL were similar. These results are significant because they address transport through a composite liner from a localized source zone which occurs when defects or punctures in the geomembrane of a composite system are present. ?? ASCE.

  11. Relevance in the science classroom: A multidimensional analysis

    Science.gov (United States)

    Hartwell, Matthew F.

    While perceived relevance is considered a fundamental component of adaptive learning, the experience of relevance and its conceptual definition have not been well described. The mixed-methods research presented in this dissertation aimed to clarify the conceptual meaning of relevance by focusing on its phenomenological experience from the students' perspective. Following a critical literature review, I propose an identity-based model of perceived relevance that includes three components: a contextual target, an identity target, and a connection type, or lens. An empirical investigation of this model that consisted of two general phases was implemented in four 9th grade-biology classrooms. Participants in Phase 1 (N = 118) completed a series of four open-ended writing activities focused on eliciting perceived personal connections to academic content. Exploratory qualitative content analysis of a 25% random sample of the student responses was used to identify the main meaning-units of the proposed model as well as different dimensions of student relevance perceptions. These meaning-units and dimensions provided the basis for the construction of a conceptual mapping sentence capturing students' perceived relevance, which was then applied in a confirmatory analysis to all other student responses. Participants in Phase 2 (N = 139) completed a closed survey designed based on the mapping sentence to assess their perceived relevance of a biology unit. The survey also included scales assessing other domain-level motivational processes. Exploratory factor analysis and non-metric multidimensional scaling indicated a coherent conceptual structure, which included a primary interpretive relevance dimension. Comparison of the conceptual structure across various groups (randomly-split sample, gender, academic level, domain-general motivational profiles) provided support for its ubiquity and insight into variation in the experience of perceived relevance among students of different

  12. New tests of the equivalence principle using non-metric couplings of electromagnetism and gravitation

    Energy Technology Data Exchange (ETDEWEB)

    Palmer, J.H.

    1992-01-01

    Calculations are performed for the physical predictions made by theories of gravity that introduce non-metric couplings of gravitation to electromagnetism. These results are then compared with existing observations in order to place limits on the viability of describing the solar gravitational field by theories that employ an Algebraically Extended (AE) metric in the gravitational field equations. The prototypical AE theory used in these calculations is Moffat's Nonsymmetric Gravitation Theory (NGT). It is shown that a class of AE theories of gravity, which includes NGT, using a particular general form of coupling, predicts a polarization dependent speed of light. This leads directly to polarization dependent bending of light (gravitationally induced birefringence) and radar echo time delay. It also leads to an orientation dependence of the energy of certain atomic transitions. Finally, the theory predicts an observed depolarization of solar spectral lines near the limb of the Sun. The theoretical maximum of observable circular polarization is compared with observations of Stokes V for certain spectral lines. This comparison is used to place limits on the NGT contributions to gravitational physics in the solar system. The limits are weakly dependent on a parameter involved in modeling of the solar atmosphere. A highly conservative model gives limits approximately 70 times stronger than previous limits. A model using the best available estimate of the solar modeling parameter gives a limit that is three orders of magnitude tighter than previous limits.

  13. Reliability and validity of the multidimensional scale of perceived social support in Chinese mainland patients with methadone maintenance treatment.

    Science.gov (United States)

    Zhou, Kaina; Li, Hengxin; Wei, Xiaoli; Yin, Juan; Liang, Peifeng; Zhang, Hongmei; Kou, Lingling; Hao, Mengmeng; You, Lijuan; Li, Xiaomei; Zhuang, Guihua

    2015-07-01

    The multidimensional scale of perceived social support (MSPSS) is a valid tool for assessing perceived support from family, friends and significant others. However, evidence about reliability and validity of the MSPSS in Chinese mainland patients with methadone maintenance treatment (MMT) is lacking. The patients (n=1212) being admitted to the first two largest MMT clinics in Xi'an were recruited in the study. Reliability was estimated with Cronbach's α and intra-class correlation (ICC). Convergent and discriminant validity was assessed using item-subscale correlation. Factorial validity was examined using exploratory and confirmatory factor analysis. The patients answered the questions of MSPSS at baseline and re-test after 6months, respectively. Cronbach's α of the overall MSPSS was 0.92 (subscales range: 0.84-0.89). ICC of the overall MSPSS was 0.65 (subscales range: 0.57-0.64). Better convergent validity (r≥0.40) was demonstrated by the satisfactory hypothesized item-subscale correlation. All of the hypothesized item-subscale correlations were higher than the correlations between the hypothesized items and other subscales, indicating better discriminant validity. Two factors were extracted from the 12 items, with factor 1 mainly covering friends and significant others subscales (explained 55.56% variance) and factor 2 mainly covering family subscale (explained 11.77% variance). In comparison with the proposed three-subscale model, the two-factor observed model did not fit well in this sample according to model fit indices. The MSPSS has acceptable reliability and convergent/discriminant validity in Chinese mainland MMT patients. The proposed three-factor model of MSPSS is much better fit than the two-factor observed model in this study. Findings of the study will provide evidence of psychometric properties of the MSPSS in MMT patient population and expand the use of the MSPSS in clinical MMT context. Copyright © 2015 Elsevier Inc. All rights reserved.

  14. Spherical Panoramas, and non Metric Images for Long Range Survey, the San Barnaba Spire, Sagrada Familia, Barcelona, Spain

    Directory of Open Access Journals (Sweden)

    Elisa Cingolani

    2011-12-01

    consist basically in the difficulty given by its height above the street level, about 100 meters. Long focal lenses have to be used to get a suitable resolution and accuracy. We wanted to repeat now the survey using a different photogrammetric technique from the old one, that was DLT algorithm for non-metric images. The new technique is the Spherical Photogrammetry. Multi-image Spherical Photogrammetry makes use as sensor of a pseudo-image that is the spherical panorama, composed by the images taken from the same station point. For details of Spherical Photogrammetry see (Fangi, 2,3,4,9. A particular procedure appropriate for the orientation of very narrow field of view lenses panorama has been already set up and used for the orientation and plotting of the three minarets of the Great Mosque of Omayyad’s in Damascus, Syria. Their heights range from 60 to 80 meters above the courtyard pavement of the mosque. The technique consists in taking different focal lengths panorama from the same station point (Fangi, New Castle, 2010, one with WA wide angle and another one with NA Narrow Angle, adding to the stability of WA panorama the resolution of NA panorama. The same approach has been used in the Sagrada Familia, for the survey of San Barnaba’s spire. In 1990 the A. made a survey of the same spire. But in comparison to the years 90, there is one difficulty more: now the rear of the spire is not visible because of the construction of the roof of the church, while it was visible in 1990. The solution has been then to use the original images taken in the years 90 for the rear of the spire and the spherical panoramas for the rest, i.e. the part toward the façade, using the original control points. Then we had to make a combined adjustment of non metric images using DLT approach and spherical photogrammetry algorithms. The restitution has been indeed carried out using both type of imagery, spherical panorama and non metric images. The results are satisfactory in the sense that

  15. Multidimensional HAM-conditions

    DEFF Research Database (Denmark)

    Hansen, Ernst Jan de Place

    . The effect on the moisture and temperature conditions of the addition of a vapour barrier and an outer cladding on timber frame walls was studied. The report contains comprehensive appendices documenting the full-scale tests. The tests were performed as a part of the project 'Model for Multidimensional Heat...

  16. Frost多维完美主义量表的Rasch分析%A rasch analysis of the frost multidimensional perfectionism scale

    Institute of Scientific and Technical Information of China (English)

    韩雪; 吴锐; 赵守盈

    2013-01-01

    The study reported here aimed to analyze the Frost Multidimensional Perfectionism Scale using a Rasch rating scale model.The result:All of the six subscales had unidimensionality; All of the items in the scale fitted the model well,and the point-measure correlation coefficient were acceptable consistency; The Rasch item reliability was good,but the person reliability was on the low side.%采用Rasch模型对Frost多维完美主义量表进行分析.结果表明:六个分量表均具有单维性;量表中各项目与Rasch模型拟合良好,各项目与其各自量表之间的相关度适中;六个分量表的项目信度良好,而个体信度系数偏低.

  17. Factorial validity and reliability of the Malaysian simplified Chinese version of Multidimensional Scale of Perceived Social Support (MSPSS-SCV) among a group of university students.

    Science.gov (United States)

    Guan, Ng Chong; Seng, Loh Huai; Hway Ann, Anne Yee; Hui, Koh Ong

    2015-03-01

    This study was aimed at validating the simplified Chinese version of the Multidimensional Scale of Perceived Support (MSPSS-SCV) among a group of medical and dental students in University Malaya. Two hundred and two students who took part in this study were given the MSPSS-SCV, the Medical Outcome Study social support survey, the Malay version of the Beck Depression Inventory, the Malay version of the General Health Questionnaire, and the English version of the MSPSS. After 1 week, these students were again required to complete the MSPSS-SCV but with the item sequences shuffled. This scale displayed excellent internal consistency (Cronbach's α = .924), high test-retest reliability (.71), parallel form reliability (.92; Spearman's ρ, P validity. In conclusion, the MSPSS-SCV demonstrated sound psychometric properties in measuring social support among a group of medical and dental students. It could therefore be used as a simple screening tool among young educated Malaysian adolescents.

  18. A combined analysis of the Frost Multidimensional Perfectionism Scale (FMPS), Child and Adolescent Perfectionism Scale (CAPS), and Almost Perfect Scale-Revised (APS-R): Different perfectionist profiles in adolescent high school students.

    Science.gov (United States)

    Sironic, Amanda; Reeve, Robert A

    2015-12-01

    To investigate differences and similarities in the dimensional constructs of the Frost Multidimensional Perfectionism Scale (FMPS; Frost, Marten, Lahart, & Rosenblate, 1990), Child and Adolescent Perfectionism Scale (CAPS; Flett, Hewitt, Boucher, Davidson, & Munro, 2000), and Almost Perfect Scale-Revised (APS-R; Slaney, Rice, Mobley, Trippi, & Ashby, 2001), 938 high school students completed the 3 perfectionism questionnaires, as well as the Depression Anxiety Stress Scales (DASS; Lovibond & Lovibond, 1995). Preliminary analyses revealed commonly observed factor structures for each perfectionism questionnaire. Exploratory factor analysis of item responses from the questionnaires (combined) yielded a 4-factor solution (factors were labeled High Personal Standards, Concerns, Doubts and Discrepancy, Externally Motivated Perfectionism, and Organization and Order). A latent class analysis of individuals' mean ratings on each of the 4 factors yielded a 6-class solution. Three of the 6 classes represented perfectionist subgroups (labeled adaptive perfectionist, externally motivated maladaptive perfectionist, and mixed maladaptive perfectionist), and 3 represented nonperfectionist subgroups (labeled nonperfectionist A, nonperfectionist B, and order and organization nonperfectionist). Each of the 6 subgroups was meaningfully associated with the DASS. Findings showed that 3 out of 10 students were classified as maladaptive perfectionists, and maladaptive perfectionists were more prevalent than adaptive perfectionists. In sum, it is evident that combined ratings from the FMPS, CAPS, and APS-R offer a meaningful characterization of perfectionism.

  19. Research on storage and query of large-scale multidimensional data.%海量多维数据的存储与查询研究

    Institute of Scientific and Technical Information of China (English)

    宋爱波; 万雨桐; 贡欢; 薛荧荧

    2016-01-01

    The OLAP(Online Analytical Processing) system built on warehouse is the most popular tool to analyze large-scale multidimensional data. With the development of information technology, data volume grows rapidly and data structure becomes more and more complicated, so the performance of OLAP system has dropped severely, failing to meet daily data analysis needs. This paper proposes new methods to store large-scale multidimensional data and perform aggre-gation query with Hadoop, a parallel computing system. The paper implements a new column-store format HCFile(HDFS column file), and proposals a new storage solution based on it. This project can improve the efficiency of aggregation, with a good scalability. Meanwhile, this paper leverages the hierarchy schema to build dimension hierarchy index, and uses MapReduce to perform efficiency aggregation query. Through comparison experiments with Hive, it proves that the proposed storage solution and aggregation query can effectively improve the efficiency of large-scale multidimensional data analysis.%基于数据仓库的OLAP系统是当前海量多维数据分析的主要工具.随着信息技术的发展,海量多维数据的规模急剧增长,结构日益复杂,OLAP系统的性能严重下降,已经无法满足人们的数据分析需求.基于分布式计算系统Hadoop给出了新的海量多维数据的存储方法和查询方法.设计了HDFS上的列存储文件格式HCFile,基于HCFile给出了海量多维数据存储方案,该方案能够提高聚集计算效率,并有很好的可扩展性.同时,利用多维数据的层次性语义特征,设计了维层次索引,并给出了利用维层次索引和MapReduce进行聚集计算的方法.通过和Hive的对比实验,表明了数据存储方案和查询方法能够有效提高海量多维数据分析的性能.

  20. Structural Validity of the MACI Psychopathy and Narcissism Scales: Evidence of Multidimensionality and Implications for Use in Research and Screening

    Science.gov (United States)

    Penney, Stephanie R.; Moretti, Marlene M.; Da Silva, Kimberley S.

    2008-01-01

    This study investigated the psychometric properties and predictive validity of three self-report scales (the Psychopathy Content Scale, the Psychopathy-16 scale, and the Egotistic scale) derived from the Millon Adolescent Clinical Inventory (MACI) to screen for the presence of psychopathic and narcissistic personality characteristics. Exploratory…

  1. Psychometric properties of the multidimensional perfectionism scale of Hewitt in a dutch-speaking sample: associations with the big five personality traits.

    Science.gov (United States)

    De Cuyper, Kathleen; Claes, Laurence; Hermans, Dirk; Pieters, Guido; Smits, Dirk

    2015-01-01

    We administered the Dutch Multidimensional Perfectionism Scale of Hewitt and Flett (1991, 2004) in a large student sample (N = 959) and performed a confirmatory factor analysis to test the factorial structure proposed by the original authors. The existence of a method factor referring to the negatively keyed items in the questionnaire was investigated by including it in the tested models. Next, we investigated how the 3 perfectionism dimensions are associated with the Five-factor model (FFM) of personality. The 3-factor structure originally observed by the authors was confirmed, at least when a method factor that refers to the negatively keyed items was included in the model. Self-oriented and socially prescribed perfectionism were both distinguished by low extraversion and low emotional stability. Self-oriented perfectionism's positive relationship with both conscientiousness and openness to experience differentiated the 2 perfectionism dimensions from each other. Other-oriented perfectionism was not well-characterized by the Big Five personality traits.

  2. The discharge behavior of lithium-ion batteries using the Dual-Potential Multi-Scale Multi-Dimensional (MSMD) Battery Model

    DEFF Research Database (Denmark)

    Saeed Madani, Seyed; Swierczynski, Maciej Jozef; Kær, Søren Knudsen

    2017-01-01

    This paper gives insight into the discharge behavior of lithium-ion batteries based on the investigations, which have been done by the researchers [1– 19]. In this article, the battery's discharge behaviour at various discharge rates is studied and surface monitor, discharge curve, volume monitor...... to analysis the discharge behaviour of lithium-ion batteries. The results show that surface monitor plot of discharge curve at 1 C has a decreasing trend and volume monitor plot of maximum temperature in the domain has slightly increasing pattern over the simulation time. For the curves of discharge...... plot of maximum temperature in the domain and maximum temperature in the area are illustrated. Additionally, an external and internal short-circuit treatment for three cases have been studied. The Dual-Potential Multi-Scale Multi-Dimensional (MSMD) Battery Model (BM) was used by ANSYS FLUENT software...

  3. Multidimensional model to assess the readiness of Saudi Arabia to implement evidence based child maltreatment prevention programs at a large scale.

    Science.gov (United States)

    Almuneef, Maha A; Qayad, Mohamed; Noor, Ismail K; Al-Eissa, Majid A; Albuhairan, Fadia S; Inam, Sarah; Mikton, Christopher

    2014-03-01

    There has been increased awareness of child maltreatment in Saudi Arabia recently. This study assessed the readiness for implementing large-scale evidence-based child maltreatment prevention programs in Saudi Arabia. Key informants, who were key decision makers and senior managers in the field of child maltreatment, were invited to participate in the study. A multidimensional tool, developed by WHO and collaborators from several middle and low income countries, was used to assess 10 dimensions of readiness. A group of experts also gave an objective assessment of the 10 dimensions and key informants' and experts' scores were compared. On a scale of 100, the key informants gave a readiness score of 43% for Saudi Arabia to implement large-scale, evidence-based CM prevention programs, and experts gave an overall readiness score of 40%. Both the key informants and experts agreed that 4 of the dimensions (attitudes toward child maltreatment prevention, institutional links and resources, material resources, and human and technical resources) had low readiness scores (child maltreatment prevention, scientific data on child maltreatment prevention, and will to address child maltreatment problem) had high readiness scores (≥5) each. There was significant disagreement between key informants and experts on the remaining 3 dimensions. Overall, Saudi Arabia has a moderate/fair readiness to implement large-scale child maltreatment prevention programs. Capacity building; strengthening of material resources; and improving institutional links, collaborations, and attitudes toward the child maltreatment problem are required to improve the country's readiness to implement such programs.

  4. Prevalence and variability of eight non-metric dental crown traits in young students of three Cali high schools, 2002

    Directory of Open Access Journals (Sweden)

    Rodríguez José Vicente

    2004-09-01

    Full Text Available Objectives: Determining the prevalence and variability of Eight non-metric tooth crown traits: shovel-shape (UI1, Carabelli’s trait (UM1, hipocone (UM2, distal trigonid crest (LM1, cusp 6 TAPI (LM1, cusp 7 TAMI (LM1, deflecting wrinkle (LM1 and protostilyd (LM1 in human dentition. Materials and methods: In this descriptive study, dental morphology were studied, through the ASU plaques system, in 100 young students from a racially mixed group Cali - Colombia. Results: The most prevalent traits were hipocone and deflecting wrinkle. The Carabelli´s trait expressed itself in low degrees and also low frequencies. Distal trigonid crest was absent in the sample. Final results showed the existence bilateralism in the expression of traits without sexual dimorphism. The prevalence of some traits indicates that the sample is similar to the Caucasoid dental pattern. The mongoloid dental pattern was also expressed but in low grade.

  5. Factorial validity and reliability of the tamil version of multidimensional scale of perceived social support among a group of participants in University Malaya Medical Centre, Malaysia

    Directory of Open Access Journals (Sweden)

    Ng Chong Guan

    2013-01-01

    Full Text Available Background and Objectives: This study was done to validate the Tamil version of Multidimensional Scale of Perceived Social Support (MSPSS-TV among a group of Indian participants in University Malaya. Materials and Methods: Ninety-four people who took part in this study were given MSPSS-TV, Medical Outcome Study (MOS social support survey, Malay version of Beck Depression Inventory (BDI, Malay version of General Health Questionnaire (GHQ, and English version of MSPSS. After a week, these participants were again required to complete the MSPSS-TV, but with the item sequences shuffled. Results: Internal consistency of this scale was excellent (Cronbach′s alpha = 0.924, and both test-retest reliability (0.71 and parallel form reliability (0.92 were high (Spearman′s rho, P<0.01. MSPSS-TV was negatively correlated with GHQ and BDI. Interpretation and Conclusions: The MSPSS-TV demonstrated sound psychometric properties in gauging the social support among a group of participants. It could therefore be used as a simple screening tool among the young educated Malaysians.

  6. GPs' perceived readiness to identify and respond to intimate partner abuse: development and preliminary validation of a multidimensional scale.

    Science.gov (United States)

    Leung, Traci Po-Yan; Bryant, Christina; Phillips, Lisa; Hegarty, Kelsey

    2017-06-29

    To develop a scale to assess the perceived readiness of general practitioners (GPs) to identify and respond to intimate partner abuse (IPA) and to examine its psychometric properties. A qualitative study of GPs' perceived readiness and a literature review were used to generate items for the General Practitioners' Perceived Readiness to identify and respond to Intimate Partner Abuse Scale (GRIPS). Responses of 287 Australian GPs and GP registrars were analysed to provide psychometric evaluation of the GRIPS. Principal components analysis generated a three-factor scale comprising 30 items with good internal consistency, (Cronbach's alpha from 0.67 to 0.88). The three distinct and reliable subscales consisting of 7 to 13 items are: Self-Efficacy; Motivational Readiness; and Emotional Readiness. The subscales were closely correlated with relevant theoretical constructs and demonstrated a unique relationship with IPA training and clinical experience. The GRIPS, a new scale with face-, content- and construct-validity, as well as internal consistency reliability, was validated in the general practice context. Further validation is warranted. Implications for public health: The GRIPS is a well-defined and easily administered scale that can be used in research and training contexts to assess health practitioners' perceived self-efficacy, motivational and emotional readiness to identify and respond to IPA. This would facilitate IPA disclosure and identification. © 2017 The Authors.

  7. Multidimensional assessment of neuro-psychiatric symptoms in patients with low-grade hepatic encephalopathy: A clinical rating scale

    Institute of Scientific and Technical Information of China (English)

    Sergei Mechtcheriakov; Ivo W Graziadei; André Kugener; Julia Wiedemann; Chantal Galbavy; Hartmann Hinterhuber; Josef Marksteiner; Wolfgang Vogel

    2005-01-01

    AIM: To evaluate the feasibility of a new clinical rating scale for a standardized assessment of cirrhosis-associated neuro-psychiatric symptoms.METHODS: Forty patients with liver cirrhosis (LC, with or without low-grade hepatic encephalopathy) were invest-igated using a clinical neuro-psychiatric rating scale based on a comprehensive list of neurological, psychomotor,cognitive, affective, behavioral symptoms, and symptoms of disturbed bioregulation.RESULTS: The analysis revealed that the majority of cirrhotic patients showed, besides characteristic neurological symptoms of hepatic encephalopathy, various psychomotor,affective and bioregulatory symptoms (disturbed sleep and sexual dysfunction). Patients were impaired in the following subscales: sleep and biorhythm disorder (75.0% of patients), Parkinsonoid symptoms (25.0%), affective symptoms (17.5%), and psychomotor retardation (12.5%).The increase of total neuro-psychiatric clinical score was significantly associated with the degree of hepatic enceph-alopathy.CONCLUSION: This study suggests that a substantial number of patients with LC and low-grade hepatic encephalopathy manifest various clinical neuro-psychiatric symptoms. The use of a rating scale, which explores clinical dimensions of hepatic encephalopathy, would improve the management of patients with LC.

  8. Using Nonmetric Multidimensional Scaling to Analyze Bee Visitation in East Tennessee Crops as an Indicator of Pollination Services Provided by Honey Bees (Apis mellifera L.) and Native Bees.

    Science.gov (United States)

    Wilson, Michael E; Skinner, John A; Wszelaki, Annette L; Drummond, Frank

    2015-12-29

    This study investigated bee visitation on 10 agricultural crops grown on diverse small farms in Tennessee to determine the abundance of native bees and honey bees and the partitioning of visitation among crops. Summaries for each crop are used to generate mean proportions of bee visitation by categories of bees. This shows that native bee visits often occur as frequently, or in greater proportions than non-native honey bee visits. Visitation across multiple crops is then analyzed together with nonmetric multidimensional scaling to show how communities of bees that provide crop pollination change depending on the crop. Within squash and pumpkin plantings, continuous and discrete factors, such as "time of day" and "organic practices," further explain shifts in the community composition of flower visitors. Results from this study show that native bees frequently visit flowers on various crops, indicating that they are likely contributing to pollination services in addition to honey bees. Furthermore, the community of bees visiting flowers changes based on crop type, phenology, and spatial-temporal factors. Results suggest that developing pollinator conservation for farms that grow a wide variety of crops will likely require multiple conservation strategies. Farms that concentrate on a single crop may be able to tailor conservation practices toward the most important bees in their system and geographic locale. © The Authors 2015. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  9. Large-scale purification of the synthetic peptide fragment 163-171 of human interleukin-beta by multi-dimensional displacement chromatography.

    Science.gov (United States)

    Viscomi, G C; Cardinali, C; Longobardi, M G; Verdini, A S

    1991-07-19

    Multi-dimensional chromatography has been used successfully in the displacement mode for the purification of the synthetic peptide H-Val-Gln-Gly-Glu-Glu-Ser-Asn-Asp-Lys-OH, the fragment 163-171 of human interleukin-beta. This peptide can mimic several of the in vivo and in vitro immunostimulatory activities of the entire protein, except for the inflammatory effect. A large-scale procedure has been developed to purify the synthetic peptide by reversed-phase (RP) and ion-exchange (IE) displacement chromatography (DC) in a single run without any pretreatment. Masses from 100 mg to about 35 g of the unpurified compounds synthesized by a solid-phase technique on a Merrifield-type resin and obtained by acidolytic cleavage from the solid support, can be purified in this way. In the RP-DC mode the carrier and the displacer were aqueous solutions of 0.1% trifluoroacetic acid and 50 mM benzyltributylammonium chloride, respectively, whereas in the IE-DC mode the carrier was water and the displacer 50 mM ammonium citrate solution. RP-DC and IE-DC were also performed in series by directing the effluent of the RP column onto the IE column. Peptide purities and recoveries greater than 96 and 90%, respectively, were obtained.

  10. Customer Service Quality in Large Supermarkets in Ibagué, Colombia: Analysis through the SERVQUAL Multidimensional Scale

    Directory of Open Access Journals (Sweden)

    Germán Rubio Guerrero

    2014-12-01

    Full Text Available Globalization is affecting all economies and their organizations seeking to maximize their profits through customer satisfaction. Within this context, large supermarkets have had significant growth; hence, it is important to know the quality of the service customers are receiving in these stores. Currently, service quality measures in these stores in the global market are scarce. This article presents the results of the measurement of the quality of service customers receive from large supermarkets in Ibagué - Colombia, by using the SERVQUAL multi-item scale, which is a tool applied to service quality, comprising five dimensions in 22 items and evaluating characteristics related to tangible aspects, reliability, responsibility, guaranty, security, and empathy. The population studied are customers who visit these supermarkets with mixed research approach (qualitative and quantitative; the results showed customer satisfaction with personnel kindness, customer attention services, agility in attention, customer care, behavior of security personnel, product promoters, merchandisers, cashiers, packers, and supervisors

  11. Multidimensional Heat Conduction

    DEFF Research Database (Denmark)

    Rode, Carsten

    1998-01-01

    Analytical theory of multidimensional heat conduction. General heat conduction equation in three dimensions. Steay state, analytical solutions. The Laplace equation. Method of separation of variables. Principle of superposition. Shape factors. Transient, multidimensional heat conduction....

  12. Sources of Life Strengths Appraisal Scale: A Multidimensional Approach to Assessing Older Adults’ Perceived Sources of Life Strengths

    Directory of Open Access Journals (Sweden)

    Prem S. Fry

    2014-01-01

    Full Text Available Both cognitive and psychosocial theories of adult development stress the fundamental role of older adults’ appraisals of the diverse sources of cognitive and social-emotional strengths. This study reports the development of a new self-appraisal measure that incorporates key theoretical dimensions of internal and external sources of life strengths, as identified in the gerontological literature. Using a pilot study sample and three other independent samples to examine older adults’ appraisals of their sources of life strengths which helped them in their daily functioning and to combat life challenges, adversity, and losses, a psychometric instrument having appropriate reliability and validity properties was developed. A 24-month followup of a randomly selected sample confirmed that the nine-scale appraisal measure (SLSAS is a promising instrument for appraising older adults’ sources of life strengths in dealing with stresses of daily life’s functioning and also a robust measure for predicting outcomes of resilience, autonomy, and well-being for this age group. A unique strength of the appraisal instrument is its critically relevant features of brevity, simplicity of language, and ease of administration to frail older adults.

  13. The Cyber Aggression in Relationships Scale: A New Multidimensional Measure of Technology-Based Intimate Partner Aggression.

    Science.gov (United States)

    Watkins, Laura E; Maldonado, Rosalita C; DiLillo, David

    2016-09-02

    The purpose of this study was to develop and provide initial validation for a measure of adult cyber intimate partner aggression (IPA): the Cyber Aggression in Relationships Scale (CARS). Drawing on recent conceptual models of cyber IPA, items from previous research exploring general cyber aggression and cyber IPA were modified and new items were generated for inclusion in the CARS. Two samples of adults 18 years or older were recruited online. We used item factor analysis to test the factor structure, model fit, and invariance of the measure structure across women and men. Results confirmed that three-factor models for both perpetration and victimization demonstrated good model fit, and that, in general, the CARS measures partner cyber aggression similarly for women and men. The CARS also demonstrated validity through significant associations with in-person IPA, trait anger, and jealousy. Findings suggest the CARS is a useful tool for assessing cyber IPA in both research and clinical settings. © The Author(s) 2016.

  14. Sources of life strengths appraisal scale: a multidimensional approach to assessing older adults' perceived sources of life strengths.

    Science.gov (United States)

    Fry, Prem S; Debats, Dominique L

    2014-01-01

    Both cognitive and psychosocial theories of adult development stress the fundamental role of older adults' appraisals of the diverse sources of cognitive and social-emotional strengths. This study reports the development of a new self-appraisal measure that incorporates key theoretical dimensions of internal and external sources of life strengths, as identified in the gerontological literature. Using a pilot study sample and three other independent samples to examine older adults' appraisals of their sources of life strengths which helped them in their daily functioning and to combat life challenges, adversity, and losses, a psychometric instrument having appropriate reliability and validity properties was developed. A 24-month followup of a randomly selected sample confirmed that the nine-scale appraisal measure (SLSAS) is a promising instrument for appraising older adults' sources of life strengths in dealing with stresses of daily life's functioning and also a robust measure for predicting outcomes of resilience, autonomy, and well-being for this age group. A unique strength of the appraisal instrument is its critically relevant features of brevity, simplicity of language, and ease of administration to frail older adults. Dedicated to the memory of Shanta Khurana whose assistance in the pilot work for the study was invaluable.

  15. Multidimensional Datawarehouse with Combination Formula

    OpenAIRE

    Warnars, Spits

    2010-01-01

    Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional datawarehouse is incomplete. Multidimensional give ability to analyze business measurement in many different ways. Multidimensional is also synonymous with online analytical processing (OLAP). By using some concepts in datawarehouse ...

  16. The morphology of the enamel-dentine junction in Neanderthal molars: Gross morphology, non-metric traits, and temporal trends.

    Science.gov (United States)

    Martin, Robert M G; Hublin, Jean-Jacques; Gunz, Philipp; Skinner, Matthew M

    2017-02-01

    This study explores the morphological differences between the enamel-dentine junction (EDJ) of maxillary and mandibular molars of Neanderthals (n = 150) and recent modern humans (n = 106), and between an earlier Neanderthal sample (consisting of Pre-Eemian and Eemian Neanderthals dating to before 115 ka) and a later Neanderthal sample (consisting of Post-Eemian Neanderthals dating to after 115 ka). The EDJ was visualised by segmenting microtomographic scans of each molar. A geometric morphometric methodology compared the positioning of the dentine horns, the shape of the marginal ridge between the dentine horns, and the shape of the cervix. We also examined the manifestation of non-metric traits at the EDJ including the crista obliqua, cusp 5, and post-paracone tubercle. Furthermore, we report on additional morphological features including centrally placed dentine horn tips and twinned dentine horns. Our results indicate that EDJ morphology can discriminate with a high degree of reliability between Neanderthals and recent modern humans at every molar position, and discriminate between the earlier and the later Neanderthal samples at every molar position, except for the M3 in shape space. The cervix in isolation can also discriminate between Neanderthals and recent modern humans, except at the M3 in form space, and is effective at discriminating between the earlier and the later Neanderthal samples, except at the M(2)/M2 in form space. In addition to demonstrating the taxonomic valence of the EDJ, our analysis reveals unique manifestations of dental traits in Neanderthals and expanded levels of trait variation that have implications for trait definitions and scoring.

  17. Generalized Multidimensional Association Rules

    Institute of Scientific and Technical Information of China (English)

    周傲英; 周水庚; 金文; 田增平

    2000-01-01

    The problem of association rule mining has gained considerable prominence in the data mining community for its use as an important tool of knowl-edge discovery from large-scale databases. And there has been a spurt of research activities around this problem. Traditional association rule mining is limited to intra-transaction. Only recently the concept of N-dimensional inter-transaction as-sociation rule (NDITAR) was proposed by H.J. Lu. This paper modifies and extends Lu's definition of NDITAR based on the analysis of its limitations, and the general-ized multidimensional association rule (GMDAR) is subsequently introduced, which is more general, flexible and reasonable than NDITAR.

  18. Drawing up multidimensional emergency medicine overcrowding scale%多维急诊科拥挤评分量表编制

    Institute of Scientific and Technical Information of China (English)

    徐腾达; 于学忠; 沈洪; 周荣斌; 陈旭岩; 郭树彬; 徐军; 张晖; 李涛

    2016-01-01

    Objective The assessment of ED (emergency medicine) crowding is one of the most challenging issues and the rewarding aspects of ED management in the last decade.The relevant physicians in China developed a new approach of ED crowding measurement,and they selected the 32 widely used and accessible indicators of ED crowding in the local as candidates by means of repeated sifting.Of them,12 variables,such as the occupancies of ED bed and total ED-based critic care bed,the number of patients in corridor and waiting room,the number of fresh patients send to critic care in last 2 hours,the usage of lifesupport equipments,access block rates,the frequency of ambulance diversion and patients leave without bing seen (LWBS) were selected as options to edit the Multidimensional ED Overcrowding Scale (MEDOS) followed by guidelines in scale development (Robert F.DeVellis).Clearly,the validity and reliability of the MEDOS remain to be further studied.%目的 通过对急诊科拥挤相关变量筛选,共纳入急诊总床位占用率、抢救室床位占用率、廊厅/过道诊治患者数、候诊患者数量和时间、正在使用的生命脏器功能支持设备数量、新进抢救室病例数、ICU满负荷状况、急诊满负荷状况(持续时间)、流出道梗阻率、救护车转向和LWBS现象等12项易在中国城市医院急诊科获得的有效的拥挤相关指标,并对之进行赋值,依据Robert F.DeVellis等编著的量表编制指南,构建新的多维急诊科拥挤评分量表(MEDOS,系统得分范围0 ~ 40分).随后进行为期6个月量表测试,初步研究结果显示,MEDOS均值(n =552)为25.4±5.8 (5~39),90百分位数为34分,75百分位数为31分,中位数为26分,25百分位数为21分,10百分位数为17分.折半信度检验MEDOS内部一致性,Split-half系数为0.817 (P<0.01),提示MEDOS量表评分法有良好的可信度.

  19. Measures for a multidimensional multiverse

    Science.gov (United States)

    Chung, Hyeyoun

    2015-04-01

    We explore the phenomenological implications of generalizing the causal patch and fat geodesic measures to a multidimensional multiverse, where the vacua can have differing numbers of large dimensions. We consider a simple model in which the vacua are nucleated from a D -dimensional parent spacetime through dynamical compactification of the extra dimensions, and compute the geometric contribution to the probability distribution of observations within the multiverse for each measure. We then study how the shape of this probability distribution depends on the time scales for the existence of observers, for vacuum domination, and for curvature domination (tobs,tΛ , and tc, respectively.) In this work we restrict ourselves to bubbles with positive cosmological constant, Λ . We find that in the case of the causal patch cutoff, when the bubble universes have p +1 large spatial dimensions with p ≥2 , the shape of the probability distribution is such that we obtain the coincidence of time scales tobs˜tΛ˜tc . Moreover, the size of the cosmological constant is related to the size of the landscape. However, the exact shape of the probability distribution is different in the case p =2 , compared to p ≥3 . In the case of the fat geodesic measure, the result is even more robust: the shape of the probability distribution is the same for all p ≥2 , and we once again obtain the coincidence tobs˜tΛ˜tc . These results require only very mild conditions on the prior probability of the distribution of vacua in the landscape. Our work shows that the observed double coincidence of time scales is a robust prediction even when the multiverse is generalized to be multidimensional; that this coincidence is not a consequence of our particular Universe being (3 +1 )-dimensional; and that this observable cannot be used to preferentially select one measure over another in a multidimensional multiverse.

  20. Applied multidimensional systems theory

    CERN Document Server

    Bose, Nirmal K

    2017-01-01

    Revised and updated, this concise new edition of the pioneering book on multidimensional signal processing is ideal for a new generation of students. Multidimensional systems or m-D systems are the necessary mathematical background for modern digital image processing with applications in biomedicine, X-ray technology and satellite communications. Serving as a firm basis for graduate engineering students and researchers seeking applications in mathematical theories, this edition eschews detailed mathematical theory not useful to students. Presentation of the theory has been revised to make it more readable for students, and introduce some new topics that are emerging as multidimensional DSP topics in the interdisciplinary fields of image processing. New topics include Groebner bases, wavelets, and filter banks.

  1. Multidimensional data visualization.

    Science.gov (United States)

    Pastizzo, Matthew J; Erbacher, Robert F; Feldman, Laurie B

    2002-05-01

    Historically, data visualization has been limited primarily to two dimensions (e.g., histograms or scatter plots). Available software packages (e.g., Data Desk 6.1, MatLab 6.1, SAS-JMP 4.04, SPSS 10.0) are capable of producing three-dimensional scatter plots with (varying degrees of) user interactivity. We constructed our own data visualization application with the Visualization Toolkit (Schroeder, Martin, & Lorensen, 1998) and Tcl/Tk to display multivariate data through the application of glyphs (Ware, 2000). A glyph is a visual object onto which many data parameters may be mapped, each with a different visual attribute (e.g., size or color). We used our Multi-Dimensional data Viewer to explore data from several psycholinguistic experiments. The graphical interface provides flexibility when users dynamically explore the multidimensional image rendered from raw experimental data. We highlight advantages of multidimensional data visualization and consider some potential limitations.

  2. Multi-Dimensional Recurrent Neural Networks

    CERN Document Server

    Graves, Alex; Schmidhuber, Juergen

    2007-01-01

    Recurrent neural networks (RNNs) have proved effective at one dimensional sequence learning tasks, such as speech and online handwriting recognition. Some of the properties that make RNNs suitable for such tasks, for example robustness to input warping, and the ability to access contextual information, are also desirable in multidimensional domains. However, there has so far been no direct way of applying RNNs to data with more than one spatio-temporal dimension. This paper introduces multi-dimensional recurrent neural networks (MDRNNs), thereby extending the potential applicability of RNNs to vision, video processing, medical imaging and many other areas, while avoiding the scaling problems that have plagued other multi-dimensional models. Experimental results are provided for two image segmentation tasks.

  3. Multi-dimensional imaging

    CERN Document Server

    Javidi, Bahram; Andres, Pedro

    2014-01-01

    Provides a broad overview of advanced multidimensional imaging systems with contributions from leading researchers in the field Multi-dimensional Imaging takes the reader from the introductory concepts through to the latest applications of these techniques. Split into 3 parts covering 3D image capture, processing, visualization and display, using 1) a Multi-View Approach and 2.) a Holographic Approach, followed by a 3rd part addressing other 3D systems approaches, applications and signal processing for advanced 3D imaging. This book describes recent developments, as well as the prospects and

  4. Multidimensional Datawarehouse with Combination Formula

    CERN Document Server

    Warnars, Spits

    2010-01-01

    Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional datawarehouse is incomplete. Multidimensional give ability to analyze business measurement in many different ways. Multidimensional is also synonymous with online analytical processing (OLAP). By using some concepts in datawarehouse like slice-dice,drill down and roll up will increase the ability of multidimensional datawarehouse. The research question and the discussing for this paper are how much deepest the multidimensional ability from each fact table in datawarehouse. By using the statistic combination formula we try to explore the combination that can be yielded from each dimension in hypercubes, the entire of dimensi combination, minimum combination and maximum combination.

  5. Multidimensional extremal dependence coefficients

    OpenAIRE

    2017-01-01

    Extreme values modeling has attracting the attention of researchers in diverse areas such as the environment, engineering, or finance. Multivariate extreme value distributions are particularly suitable to model the tails of multidimensional phenomena. The analysis of the dependence among multivariate maxima is useful to evaluate risk. Here we present new multivariate extreme value models, as well as, coefficients to assess multivariate extremal dependence.

  6. Multi-dimensional Visualized Analysis Framework for Supporting Large Scale Data%一种支持大规模数据的多维可视化分析框架

    Institute of Scientific and Technical Information of China (English)

    游进国; 杨卓荦; 胡建华; 奚建清

    2011-01-01

    以Hadoop为代表的可扩展大规模数据库难以进行多维可视化分析.为此,设计基于B/S架构的可视化分析框架Bizard.数据模型通过封装底层数据接口以支持业界多维数据访问协议XMLA,从而在展现层易于接入支持XMLA的传统分析工具,同时采用视图物化技术提高分析性能,利用互联网技术丰富用户分析体验.实验结果表明,该框架能在高达千万条记录级的数据上进行多维可视化分析.%To address the multi-dimensional visualization analysis problem of large scale data storages with high scalability represented by Hadoop, this paper designs and implements a visualization analysis framework, called Bizard. Bizard's data model encapsulates the underlying data access interface and provides XMLA protocol for the presenting layer, which makes it convenient to use conventional analytical tools. Meanwhile, Bizard uses materialized view technologies to improve query performance and the RIA technology to enrich the user analysis experience Experimental results show that the framework can process multi-dimensional visualization analysis on large data sets with the number of rows up to tens of millions.

  7. Numeric invariants from multidimensional persistence

    Energy Technology Data Exchange (ETDEWEB)

    Skryzalin, Jacek [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Carlsson, Gunnar [Stanford Univ., Stanford, CA (United States)

    2017-05-19

    In this paper, we analyze the space of multidimensional persistence modules from the perspectives of algebraic geometry. We first build a moduli space of a certain subclass of easily analyzed multidimensional persistence modules, which we construct specifically to capture much of the information which can be gained by using multidimensional persistence over one-dimensional persistence. We argue that the global sections of this space provide interesting numeric invariants when evaluated against our subclass of multidimensional persistence modules. Lastly, we extend these global sections to the space of all multidimensional persistence modules and discuss how the resulting numeric invariants might be used to study data.

  8. 儿童再发性腹痛多维评估量表中文版的研制及初步评价%Development and initial validation of Chinese version of multidimensional measure for recurrent abdominal pain scale

    Institute of Scientific and Technical Information of China (English)

    王凤侠; 郝珉; 扈爱清

    2009-01-01

    目的 研制中文版儿童再发性腹痛多维(multidimensional measure for recunent ab-dominal pain,MM-RAP)量表,并对其信度和效度作出初步的评价.方法 翻译并修订中文版MM-RAP量表;采用中文版MM-RAP量表对100例再发性腹痛患儿及其父母进行调查,对量表的信度和效度进行评定.结果 中文版MM-RAP量表的重测信度为0.86.量表总体Cronbach's α系数为0.80,各维度的Cronbach's α系数均>0.70.量表的各条目与其所属维度之间相关性较强,而与其他维度相关性相对较弱;验证性因素分析结果表明量表的内在结构与原量表结构基本一致.结论 中文版MM-RAP量表具有较好的信度和效度,对于评估我国儿童再发性腹痛有一定的帮助.%Objective To develop the Chinese version of multidimensional measure for recurrent ab-dominal pain scale(MM-RAP) and test the reliability and validity of it. Methods The Chinese version of MM-RAP was translated and revised and 100 children with recurrent abdominal pain and their parents were surveyed by it. Then the reliability and validity of the scale was tested. Results The teat-retest reliability coefficient of MM-RAP was 0.86. The total Cronbach's coefficient α of the scale was 0.80. Cronbach's coef-ficient α of each dimensions was above 0.70. The results of correlation analysis showed that there was higher correlation between items and its belonged dimensions than that with other dimensions. The results of confir-matory factor analysis indicated the factor structure was similar with the theoretical construction of the in-strument. Conclusions The Chinese version of MM-RAP demonstrated good reliability and validity and was an effective assessment instrument for measuring recurrent abdominal pain of Chinese children.

  9. Relationship between the domains of the Multidimensional Students' Life Satisfaction Scale, satisfaction with food-related life and happiness in university students.

    Science.gov (United States)

    Schnettler, Berta; Orellana, Ligia; Lobos, Germán; Miranda, Horacio; Sepúlveda, José; Etchebarne, Soledad; Mora, Marcos; Adasme-Berríos, Cristian; Grunert, Klaus G

    2015-06-01

    Objetivo: caracterizar tipologías de estudiantes universitarios según la satisfacción en dominios de la vida que afectan a los hábitos alimentarios, satisfacción con la alimentación y nivel de felicidad subjetiva. Material y método: se aplicó un cuestionario a una muestra no probabilística de 305 estudiantes de ambos géneros de cinco universidades de Chile. El cuestionario incluyó: Escala Multidimensional de Satisfacción con la Vida para Estudiantes (MSLSS) abreviada, Satisfacción con la Alimentación (SWFL) y la Escala de Felicidad Subjetiva (SHS). Se consultaron hábitos de consumo de alimentos, frecuencia de comidas dentro y fuera del lugar de residencia, peso y estatura aproximada y variables sociodemográficas. Resultados: mediante análisis factorial se confirmó la estructura de cinco dominios de la MSLSS, con 26 de los 30 ítems de la versión abreviada: Familia, Amigos, Sí mismo, Entorno de vida y Universidad. Mediante análisis clúster se distinguieron cuatro tipologías que difirieron significativamente en los puntajes de los dominios de la MSLSS y en su puntaje global, en los puntajes de la SWFL, SHS, género, contar con una tarjeta de alimentación financiada por el Estado chileno, importancia asignada a la alimentación para el bienestar personal y nivel socioeconómico. Conclusiones: mayores niveles de satisfacción con la vida y de felicidad se asocian con una mayor satisfacción con la alimentación. Otros dominios importantes que afectan al bienestar subjetivo de los estudiantes corresponden a la familia, los amigos, la universidad y el sí mismo. La mayor satisfacción en unos dominios compensaría la menor satisfacción en otros.

  10. Inflation in multidimensional quantum cosmology

    CERN Document Server

    Carugno, E; Occhionero, F; Pollifrone, G; Carugno, Enrico; Litterio, Marco; Occhionero, Franco; Pollifrone, Giuseppe

    1996-01-01

    We extend to multidimensional cosmology Vilenkin's prescription of tunnelling from nothing for the quantum origin of the observable Universe. Our model consists of a D+4-dimensional spacetime of topology {\\cal R}\\times {\\cal S}^3 \\times{\\cal S}^D, with a scalar field (``chaotic inflaton'') for the matter component. Einstein gravity and Casimir compactification are assumed. The resulting minisuperspace is 3--dimensional. Patchwise we find an approximate analytic solution of the Wheeler--DeWitt equation through which we discuss the tunnelling picture and the probability of nucleation of the classical Universe with compactifying extra dimensions. Our conclusion is that the most likely initial conditions, although they do not lead to the compactification of the internal space, still yield (power-law) inflation for the outer space. The scenario is physically acceptable because the inner space growth is limited to \\sim 10^{11} in 100 e-foldings of inflation, starting from the Planck scale.

  11. Computing multidimensional persistence

    Directory of Open Access Journals (Sweden)

    Gunnar Carlsson

    2010-11-01

    Full Text Available The theory of multidimensional persistence captures the topology of a multifiltration - a multiparameter family of increasing spaces.  Multifiltrations arise naturally in the topological analysis of scientific data.  In this paper, we give a polynomial time algorithm for computing multidimensional persistence.  We recast this computation as a problem within computational commutative algebra and utilize algorithms from this area to solve it.  While the resulting problem is EXPSPACE-complete and the standard algorithms take doubly-exponential time, we exploit the structure inherent withing multifiltrations to yield practical algorithms.  We implement all algorithms in the paper and provide statistical experiments to demonstrate their feasibility.

  12. Multidimensional capillary electrophoresis.

    Science.gov (United States)

    Grochocki, Wojciech; Markuszewski, Michał J; Quirino, Joselito P

    2015-01-01

    Multidimensional separation where two or more orthogonal displacement mechanisms are combined is a promising approach to increase peak capacity in CE. The combinations allow dramatic improvement of analytical performance since the total peak capacity is given by a product of the peak capacities of all methods. The initial reports were concentrated on the construction of effective connections between capillaries for 2D analysis. Today, 2D and 3D CE systems are now able to separate real complex biological or environmental mixtures with good repeatability, improved resolution with minimal loss of sample. This review will present the developments in the field of multidimensional CE during the last 15 years. The endeavors in this specific field were on the development of interfaces, interface-free techniques including integrated separations, microdevices, and on-line sample concentration techniques to improve detection sensitivity.

  13. Multidimensional nonlinear descriptive analysis

    CERN Document Server

    Nishisato, Shizuhiko

    2006-01-01

    Quantification of categorical, or non-numerical, data is a problem that scientists face across a wide range of disciplines. Exploring data analysis in various areas of research, such as the social sciences and biology, Multidimensional Nonlinear Descriptive Analysis presents methods for analyzing categorical data that are not necessarily sampled randomly from a normal population and often involve nonlinear relations. This reference not only provides an overview of multidimensional nonlinear descriptive analysis (MUNDA) of discrete data, it also offers new results in a variety of fields. The first part of the book covers conceptual and technical preliminaries needed to understand the data analysis in subsequent chapters. The next two parts contain applications of MUNDA to diverse data types, with each chapter devoted to one type of categorical data, a brief historical comment, and basic skills peculiar to the data types. The final part examines several problems and then concludes with suggestions for futu...

  14. The Multidimensional Darboux Transformation

    CERN Document Server

    González-López, A; González-López, Artemio; Kamran, Niky

    1996-01-01

    A generalization of the classical one-dimensional Darboux transformation to arbitrary n-dimensional oriented Riemannian manifolds is constructed using an intrinsic formulation based on the properties of twisted Hodge Laplacians. The classical two-dimensional Moutard transformation is also generalized to non-compact oriented Riemannian manifolds of dimension n greater than one. New examples of quasi-exactly solvable multidimensional matrix Schrödinger operators on curved manifolds are obtained by applying the above results.

  15. Multidimensional diffusion MRI

    Science.gov (United States)

    Topgaard, Daniel

    2017-02-01

    Principles from multidimensional NMR spectroscopy, and in particular solid-state NMR, have recently been transferred to the field of diffusion MRI, offering non-invasive characterization of heterogeneous anisotropic materials, such as the human brain, at an unprecedented level of detail. Here we revisit the basic physics of solid-state NMR and diffusion MRI to pinpoint the origin of the somewhat unexpected analogy between the two fields, and provide an overview of current diffusion MRI acquisition protocols and data analysis methods to quantify the composition of heterogeneous materials in terms of diffusion tensor distributions with size, shape, and orientation dimensions. While the most advanced methods allow estimation of the complete multidimensional distributions, simpler methods focus on various projections onto lower-dimensional spaces as well as determination of means and variances rather than actual distributions. Even the less advanced methods provide simple and intuitive scalar parameters that are directly related to microstructural features that can be observed in optical microscopy images, e.g. average cell eccentricity, variance of cell density, and orientational order - properties that are inextricably entangled in conventional diffusion MRI. Key to disentangling all these microstructural features is MRI signal acquisition combining isotropic and directional dimensions, just as in the field of multidimensional solid-state NMR from which most of the ideas for the new methods are derived.

  16. Multidimensional radar picture

    Science.gov (United States)

    Waz, Mariusz

    2010-05-01

    In marine navigation systems, the three-dimensional (3D) visualization is often and often used. Echosonders and sonars working in hydroacustic systems can present pictures in three dimensions. Currently, vector maps also offer 3D presentation. This presentation is used in aviation and underwater navigation. In the nearest future three-dimensional presentation may be obligatory presentation in displays of navigation systems. A part of these systems work with radar and communicates with it transmitting data in a digital form. 3D presentation of radar picture require a new technology to develop. In the first step it is necessary to compile digital form of radar signal. The modern navigation radar do not present data in three-dimensional form. Progress in technology of digital signal processing make it possible to create multidimensional radar pictures. For instance, the RSC (Radar Scan Converter) - digital radar picture recording and transforming tool can be used to create new picture online. Using RSC and techniques of modern computer graphics multidimensional radar pictures can be generated. The radar pictures mentioned should be readable for ECDIS. The paper presents a method for generating multidimensional radar picture from original signal coming from radar receiver.

  17. Product Accuracy Effect of Oblique and Vertical Non-Metric Digital Camera Utilization in Uav-Photogrammetry to Determine Fault Plane

    Science.gov (United States)

    Amrullah, C.; Suwardhi, D.; Meilano, I.

    2016-06-01

    This study aims to see the effect of non-metric oblique and vertical camera combination along with the configuration of the ground control points to improve the precision and accuracy in UAV-Photogrammetry project. The field observation method is used for data acquisition with aerial photographs and ground control points. All data are processed by digital photogrammetric process with some scenarios in camera combination and ground control point configuration. The model indicates that the value of precision and accuracy increases with the combination of oblique and vertical camera at all control point configuration. The best products of the UAV-Photogrammetry model are produced in the form of Digital Elevation Model (DEM) compared to the LiDAR DEM. Furthermore, DEM from UAV-Photogrammetry and LiDAR are used to define the fault plane by using cross-section on the model and interpretation to determine the point at the extreme height of terrain changes. The result of the defined fault planes indicate that two models do not show any significant difference.

  18. Non-Metric Similarity Measures

    Science.gov (United States)

    2015-03-26

    are numeric. Out of 11 data sets used, six are from text mining domain, two from music classification and retrieval domain, 2 from character...algorithm for discovering clusters in large spatial databases with noise . Proceed- ings of ACM SIGKDD Conference on Knowledge Discovery and Data

  19. Non-metric Quantum Cosmology

    CERN Document Server

    Roberts, Mark D

    2016-01-01

    Scalar-tensor theory has arbitrary functions of the scalar field in front of the geometric and scalar terms in the Lagrangain. The extent to which these arbitrary functions appear in the Wheeler-deWitt wavefunction of mini-super Robertson-Walker spacetimes is discussed. The function of the scalar field in front of the Einstein-Hilbert action allows a current to be constructed which suggests transfer from matter to geometry of aspects of the wavefunction.

  20. How charisma is perceived from speech. A multidimensional approach

    OpenAIRE

    Signorello, Rosario; D'Errico, Francesca; Poggi, Isabella; Demolin, Didier

    2012-01-01

    International audience; A leader's charisma is conveyed by multiple aspects of his perceivable behavior among which the acoustic-prosodic characteristics of speech. We present here a study on the perception of charisma in political speech that aims to investigate the notion of charisma and to validate a theoretical framework on a multidimensional scale of charisma perception. The study points out that a multidimensional approach of charisma allows to better analyze which factors are related t...

  1. [Psychometric analysis of the AF5 multidimensional scale of self-concept in a sample of adolescents and adults in Catalonia].

    Science.gov (United States)

    Malo Cerrato, Sara; Bataller Sallent, Sílvia; Casas Aznar, Ferran; Gras Pérez, Ma Eugenia; González Carrasco, Mònica

    2011-11-01

    The aim of this study is to carry out a psychometric study of the AF5 scale in a sample of 4.825 Catalan subjects from 11 to 63 years-old. They are students from secondary compulsory education (ESO), from high school, middle-level vocational training (CFGM) and from the university. Using a principal component analysis (PCA) the theoretical validity of the components is established and the reliability of the instrument is also analyzed. Differential analyses are performed by gender and normative group using a 2 x 6 factorial design. The normative group variable includes the different levels classified into 6 sub-groups: university, post-compulsory secondary education (high school and CFGM), 4th of ESO, 3rd of ESO, 2nd of ESO and 1st of ESO. The results indicate that the reliability of the Catalan version of the scale is similar to the original scale. The factorial structure also fits with the original model established beforehand. Significant differences by normative group in the four components of self-concept explored (social, family, academic/occupational and physical) are observed. By gender, significant differences appear in the component of physical self-concept, academic and social but not in the family component.

  2. Chinese Frost multidimensional perfectionism scale: a survey of perfectionism under different background in undergraduates%中文Frost多维完美主义量表对1 245名大学生测试结果分析

    Institute of Scientific and Technical Information of China (English)

    马珺; 冯泽永; 杨小丽

    2008-01-01

    目的 研究大学生在不同背景下完美主义心理的差别.方法 用中文Frost多维完美主义量表(Chinese Frost multidimensional perfectionism scale, CFMPS)对1 245 名大学生进行测试.结果 CFMPS的得分在是否独生子女(P=0.009)、成绩等级(P=0.008)和母亲文化程度(P=0.001)上有显著的统计学差异,在性别、年级、生源、家庭经济情况、是否担任学生干部等几个方面没有统计学差异(P>0 05).结论 完美主义既是一种稳定的人格特质,也因个体背景不同(如是否独生子女、成绩等级、母亲文化程度)而有所差异.

  3. Development of successful ageing multidimensional assessment scale and its reliability and validity%成功老龄化多维度评估量表的编制及信效度检验

    Institute of Scientific and Technical Information of China (English)

    任立山; 骆宏; 范为群; 蓝戈文

    2014-01-01

    Objective According to the theoretic framework of successful ageing,this study developed a multidimensional Successful Ageing Assessment Scale and tested its reliability and validity.Methods Through literature review,the study determined evaluative dimension,structure and scoring method.Then,the Successful Ageing Multidimensional Assessment Scale(SAMAS) was developed and was optimized by the expert consultation,semi-structured interview and twice tests.The predicted sample was conducted with item analysis,and testing of reliability and validity; the formal tested sample was conducted with item analysis,conformance testing and testing of reliability and validity.Then the formal tested sample was tested and retested two weeks later.The intestine emendatory Activities of Daily Living Scale (ADL),Mini Mental State Examination Scale (MMSE),Social Disability Screening Schedule (SDSS) and Memorial University of Newfoundland Scale of Happiness(MUNSH) were used to test its criteri-on validity.Results SAMAS consisted of 5 dimensions,including chronic disease state,physical perfor-mance,cognitive function,social function,subjective well-being.Item analysis showed the dimensions of scale and total scale scores had positive correlation.In conformance testing,the Kappa value was 0.65~0.86,test-retest reliability was 0.66~0.85 and the internal consistency reliability was 0.88.The correl-ative coefficient of the physical performance and social function scores were negatively correlated with ADL scores and SSDS scores,the correlative coefficient of the cognitive function and subjective well-being scores were positively correlated with MMSE scores and MUNSH scores.Conclusions SAMAS suggested good reliability,validity and could well evaluate comprehensive health for the elderly,at the same time could distinguish between SA and non SA group.%目的 根据成功老龄化(successful ageing,SA)理论框架编制成功老龄化多维度评估量表(successful ageing multidimensional

  4. Multidimensional Localized Solitons

    CERN Document Server

    Boiti, M; Martina, L; Boiti, Marco

    1993-01-01

    Abstract: Recently it has been discovered that some nonlinear evolution equations in 2+1 dimensions, which are integrable by the use of the Spectral Transform, admit localized (in the space) soliton solutions. This article briefly reviews some of the main results obtained in the last five years thanks to the renewed interest in soliton theory due to this discovery. The theoretical tools needed to understand the unexpected richness of behaviour of multidimensional localized solitons during their mutual scattering are furnished. Analogies and especially discrepancies with the unidimensional case are stressed.

  5. Nonlinear functional connectivity network recovery in the human brain with mutual connectivity analysis (MCA): convergent cross-mapping and non-metric clustering

    Science.gov (United States)

    Wismüller, Axel; Abidin, Anas Z.; D'Souza, Adora M.; Wang, Xixi; Hobbs, Susan K.; Leistritz, Lutz; Nagarajan, Mahesh B.

    2015-03-01

    We explore a computational framework for functional connectivity analysis in resting-state functional MRI (fMRI) data acquired from the human brain for recovering the underlying network structure and understanding causality between network components. Termed mutual connectivity analysis (MCA), this framework involves two steps, the first of which is to evaluate the pair-wise cross-prediction performance between fMRI pixel time series within the brain. In a second step, the underlying network structure is subsequently recovered from the affinity matrix using non-metric network clustering approaches, such as the so-called Louvain method. Finally, we use convergent cross-mapping (CCM) to study causality between different network components. We demonstrate our MCA framework in the problem of recovering the motor cortex network associated with hand movement from resting state fMRI data. Results are compared with a ground truth of active motor cortex regions as identified by a task-based fMRI sequence involving a finger-tapping stimulation experiment. Our results regarding causation between regions of the motor cortex revealed a significant directional variability and were not readily interpretable in a consistent manner across subjects. However, our results on whole-slice fMRI analysis demonstrate that MCA-based model-free recovery of regions associated with the primary motor cortex and supplementary motor area are in close agreement with localization of similar regions achieved with a task-based fMRI acquisition. Thus, we conclude that our MCA methodology can extract and visualize valuable information concerning the underlying network structure between different regions of the brain in resting state fMRI.

  6. Multidimensional sexual perfectionism.

    Science.gov (United States)

    Stoeber, Joachim; Harvey, Laura N; Almeida, Isabel; Lyons, Emma

    2013-11-01

    Perfectionism is a multidimensional personality characteristic that can affect all areas of life. This article presents the first systematic investigation of multidimensional perfectionism in the domain of sexuality exploring the unique relationships that different forms of sexual perfectionism show with positive and negative aspects of sexuality. A sample of 272 university students (52 male, 220 female) completed measures of four forms of sexual perfectionism: self-oriented, partner-oriented, partner-prescribed, and socially prescribed. In addition, they completed measures of sexual esteem, sexual self-efficacy, sexual optimism, sex life satisfaction (capturing positive aspects of sexuality) and sexual problem self-blame, sexual anxiety, sexual depression, and negative sexual perfectionism cognitions during sex (capturing negative aspects). Results showed unique patterns of relationships for the four forms of sexual perfectionism, suggesting that partner-prescribed and socially prescribed sexual perfectionism are maladaptive forms of sexual perfectionism associated with negative aspects of sexuality whereas self-oriented and partner-oriented sexual perfectionism emerged as ambivalent forms associated with positive and negative aspects.

  7. Multidimensional Potential Burgers Turbulence

    Science.gov (United States)

    Boritchev, Alexandre

    2016-03-01

    We consider the multidimensional generalised stochastic Burgers equation in the space-periodic setting: partial {u}/partial t+(nabla f({u}) \\cdot nabla) {u}-ν Δ {u}= nabla η, quad t ≥ 0, {x} in{T}^d=({R}/ {Z})^d, under the assumption that u is a gradient. Here f is strongly convex and satisfies a growth condition, ν is small and positive, while η is a random forcing term, smooth in space and white in time. For solutions u of this equation, we study Sobolev norms of u averaged in time and in ensemble: each of these norms behaves as a given negative power of ν. These results yield sharp upper and lower bounds for natural analogues of quantities characterising the hydrodynamical turbulence, namely the averages of the increments and of the energy spectrum. These quantities behave as a power of the norm of the relevant parameter, which is respectively the separation ℓ in the physical space and the wavenumber k in the Fourier space. Our bounds do not depend on the initial condition and hold uniformly in {ν}. We generalise the results obtained for the one-dimensional case in [10], confirming the physical predictions in [4, 30]. Note that the form of the estimates does not depend on the dimension: the powers of {ν, |{{k}}|, ℓ} are the same in the one- and the multi-dimensional setting.

  8. Theta vocabulary II. Multidimensional case

    CERN Document Server

    Kharchev, S

    2015-01-01

    It is shown that the Jacobi and Riemann identities of degree four for the multidimensional theta functions as well as the Weierstrass identities emerge as algebraic consequences of the fundamental multidimensional binary identities connecting the theta functions with Riemann matrices $\\tau$ and $2\\tau$.

  9. Theta vocabulary II. Multidimensional case

    Science.gov (United States)

    Kharchev, S.; Zabrodin, A.

    2016-06-01

    It is shown that the Jacobi and Riemann identities of degree four for the multidimensional theta functions as well as the Weierstrass identities emerge as algebraic consequences of the fundamental multidimensional binary identities connecting the theta functions with Riemann matrices τ and 2 τ.

  10. Applications of Multidimensional Wavelet Filtering in Geosciences

    Science.gov (United States)

    Yuen, D. A.; Vincent, A. P.; Kido, M.

    2001-12-01

    Today we are facing a severe crisis of being flooded with huge amounts of data being generated by higher-resolution numerical simulations , laboratory instrumentions and satellite observations. Since there is no way one can visualize the full data set, we must extract essential features from the data-set. One way of addressing this problem is to use mathematical filters , such as multidimensional wavelets. We present imaging results in the geosciences based on using multidimensional Gaussian wavelets as a filter. This approach has been applied to a wide-range of problems, which span from the nanoscale in mineral surfaces imaged by atomic force microscopy to hundreds of kilometers in geoidal undulations determined from satellite orbits or small-scale plumes in high Rayleigh number convection. Besides decomposing the field under consideration into various scales , called a scalogram, we have also constructed two-dimensional maps, delineating the spatial distributions of the maximum of the wavelet transformed quantity E-max and the associated local wave-number. We have generalized the application of multidimensional wavelets to quantify in terms of a two-dimensional map the correlation C for two multidimensional fields A and B. We will show a simple 2D isotropic wavelet-like transform for a spherical surface. We have analyzed the transformed geoid data with a band-pass filter in the spherical harmonic domain and have shown the equivalency of the two representations. This spherical wavelet-like filter can be applied also to problems in planetary science, such as the surface topography and geoid of other planetary bodies, like Mars.

  11. Multi-Dimensional Inheritance

    CERN Document Server

    Erbach, G

    1994-01-01

    In this paper, we present an alternative approach to multiple inheritance for typed feature structures. In our approach, a feature structure can be associated with several types coming from different hierarchies (dimensions). In case of multiple inheritance a type has supertypes from different hierarchies. We contrast this approach with approaches based on a single type hierarchy where a feature structure has only one unique most general type, and multiple inheritance involves computation of greatest lower bounds in the hierarchy. The proposed approach supports current linguistic analyses in constraint-based formalisms like HPSG, inheritance in the lexicon, and knowledge representation for NLP systems. Finally, we show that multi-dimensional inheritance hierarchies can be compiled into a Prolog term representation, which allows to compute the conjunction of two types efficiently by Prolog term unification.

  12. MULTIDIMENSIONALITY OF INCLUSION

    Directory of Open Access Journals (Sweden)

    T. V. Semenovskikh

    2016-01-01

    Full Text Available The article reveals the phenomenon of "multidime nsionality of inclusion", which is considered by the author  in  two  dimensions:  "vertical"  and  "horizontal". "Vertical" dimensional model includes five fu ndamental systems functioning inclusive society: social, economic, institutional, territorial and symbolic. "Horizontal" multidimensionality of inclusion – the inclusion of a person in group activities, his su bjective feeling. The author gives a classification of socio-cultural markers of inclusion in University of Tyumen, with an emphasis on availability and motivation of quality education, additional educational opportunities,  professional  training  (described  by the course "Tutor in inclusive education". The tutor in the inclusive educational environment – the person  having  the  higher  vocational  education  in  the field of special pedagogy and psychology; experience  of  pedagogical,  practical  activities  with  persons with limited opportunities of health; having practical  ideas  of  those  spheres  of  activity  which have a direct bearing on their training. The tutor in inclusion is the reflexive and reflexing personality understanding and holding a framework of the pr ofessional activity. The tutor, during the work with the resource card of the person is also neutral. "The multidimensionality of inclusion" is a metaphor, the translational motion vector from inclusive education to inclusive society.

  13. Evaluation of reliability and validity of Multidimensional Students’ Life Satisfaction Scale among graduate groups%多维学生生活满意1060度量表应用于研究生的信效度评价

    Institute of Scientific and Technical Information of China (English)

    夏果; 杨秀兰; 潘发明; 宋玉梅; 赵智; 陶群; 郭勇

    2011-01-01

    Objective To evaluate the feasibility of the Multidimensional Students' Life Satisfaction Scale( MSLSS) among Chinese graduate groups, and to provide evidence for the intervention. Methods By using cross-sectional study and by stratified-cluster sampling method to perform MSLSS test for graduates from twelve universities of seven cities, and to evaluate the reliability and validity of MSLSS scale. Results Cronbach' s a was 0.78, split-half reliability was 0.91, the correlation coefficient of each dimension score and total was between 0.67 and 0. 81. Factor analysis showed the cumulative contribution rate of four common factors was 49.91% ,the factor loading of each item was between 0.34 and 0.83. The female graduates scored higher than male graduates on family satisfaction, friends satisfaction and total satisfaction, and the difference showed statistical significance(P<0.05). Conclusion The MSLSS scale showed good reliability and validity on tested graduate groups.%目的 评价多维学生生活满意度量表(MSLSS)在中国研究生群体中应用的可行性,为进一步干预研究提供依据.方法 采用横断面研究的方法,按年级分层,整群抽取全国7座城市、12所高校研究生3 812名进行MSLSS量表的测试及信度、效度评价.结果 多维学生生活满意度量表Cronbach's α系数为0.78,分半信度为0.91;各维度得分与该量表总分的相关系数均在0.67 ~0.81之间.因子分析结果显示,提取的4个公因子累计贡献率为49.91%,每个条目的因子负荷0.34 ~0.83之间;在家庭满意度、朋友满意度和满意度总分上,女研究生的得分均高于男研究生(P<0.05).结论 MSLSS量表在所测试研究生群体中显示出较好的信度、效度.

  14. Application of Multidimensional Scaling in the Analysis of Spatial Ground Motion%多维标度法在地震动空间特性分析中的应用

    Institute of Scientific and Technical Information of China (English)

    李英民; 吴哲骞; 陈辉国

    2012-01-01

    为寻找适于工程应用的空间地震动输入合理性的判定工具,提出了一种将多维标度法(MDS)和动态时间弯曲距离(DTW)相结合揭示空间地震动相关结构的方法.该方法可将多点地震动数据的差异转化在一个低维空间内,从而通过各点地震动在该空间内对应的位置反映空间地震动台阵数据之间的差异.较传统的方法,该方法具有较好的直观性且有利于挖掘地震动数据间的潜在关联,利用该方法在对某次地震的台阵记录以及相应合成人工波的分析中取得了较好的效果.%In order to search for a tool to test whether the earthquakes is reasonable for the design, a method based on multidimensional scaling (MDS) and the dynamic time warping distance (DTW) was proposed, which represents the dissimilarities of earthquake in a low dimensional space in a visualized way and uncovers hidden structure of earthquake. The analysis of record from the seismic array shows that the proposed method can be a powerful tool in detecting the correlation structure of spatial ground motion as well as verifying whether the algorithm is producing properly correlated motions in space.

  15. Multidimensional Databases and Data Warehousing

    CERN Document Server

    Jensen, Christian

    2010-01-01

    The present book's subject is multidimensional data models and data modeling concepts as they are applied in real data warehouses. The book aims to present the most important concepts within this subject in a precise and understandable manner. The book's coverage of fundamental concepts includes data cubes and their elements, such as dimensions, facts, and measures and their representation in a relational setting; it includes architecture-related concepts; and it includes the querying of multidimensional databases.The book also covers advanced multidimensional concepts that are considered to b

  16. Multilayer Multidimensional Extension Set Theory

    Institute of Scientific and Technical Information of China (English)

    CAO Shao-zhong; YANG Guo-wei; TU Xu-yan

    2006-01-01

    In order to study the contradiction problem of multilayer multidimensional complex systems, the concepts of extension field and stable field of intersection and union of multilayer multidimensional extension set are given. Then the related operations and properties are discussed. The results of study expand the concepts of intersection and union of extension set to a general situation, and provide the theoretical basis for production of the concepts of intersection and union of multilayer multidimensional matter element system extension set. In this way, it will be possible that matter element system theory is used to creative designs of complex systems.

  17. Measures for a Multidimensional Multiverse

    CERN Document Server

    Chung, Hyeyoun

    2012-01-01

    We explore the phenomenological consequences of generalizing the causal patch and scale factor cutoff measures to a multidimensional multiverse, where the vacua can have differing numbers of large dimensions. We consider a simple model in which the vacua are nucleated from a $D$-dimensional parent spacetime through dynamical compactification of the extra dimensions, and compute the geometric contribution to the probability distribution of observations within the multiverse for each measure. We then study how the shape of this probability distribution depends on the timescale for the existence of observers, the timescale for vacuum domination, and the timescale for curvature domination ($t_{obs}, t_{\\Lambda},$ and $t_c$, respectively.) We find that in the case of the causal patch cutoff, when the bubble universes have $p+1$ large spatial dimensions with $p \\geq 2$, the shape of the probability distribution is such that we obtain the coincidence of timescales $t_{obs} \\sim t_{\\Lambda} \\sim t_c$. Moreover, the s...

  18. Global influenza surveillance with Laplacian multidimensional scaling

    Institute of Scientific and Technical Information of China (English)

    Xi-chuan ZHOU; Fang TANG; Qin LI; Sheng-dong HU; Guo-jun LI; Yun-jian JIA; Xin-ke LI; Yu-jie FENG

    2016-01-01

    The Global Influenza Surveillance Network is crucial for monitoring epidemic risk in participating countries. However, at present, the network has notable gaps in the developing world, principally in Africa and Asia where laboratory capabilities are limited. Moreover, for the last few years, various influenza viruses have been continuously emerging in the resource-limited countries, making these surveillance gaps a more imminent challenge. We present a spatial-transmission model to estimate epidemic risks in the countries where only partial or even no surveillance data are available. Motivated by the observation that countries in the same influenza transmission zone divided by the World Health Organization had similar transmission patterns, we propose to estimate the influenza epidemic risk of an unmonitored country by incorporating the surveillance data reported by countries of the same transmission zone. Experiments show that the risk estimates are highly correlated with the actual influenza morbidity trends for African and Asian countries. The proposed method may provide the much-needed capability to detect, assess, and notify potential influenza epidemics to the developing world.

  19. Multidimensional Databases and Data Warehousing

    DEFF Research Database (Denmark)

    Jensen, Christian S.; Pedersen, Torben Bach; Thomsen, Christian

    techniques that are particularly important to multidimensional databases, including materialized views, bitmap indices, join indices, and star join processing. The book ends with a chapter that presents the literature on which the book is based and offers further readings for those readers who wish to engage......The present book's subject is multidimensional data models and data modeling concepts as they are applied in real data warehouses. The book aims to present the most important concepts within this subject in a precise and understandable manner. The book's coverage of fundamental concepts includes...... data cubes and their elements, such as dimensions, facts, and measures and their representation in a relational setting; it includes architecture-related concepts; and it includes the querying of multidimensional databases. The book also covers advanced multidimensional concepts that are considered...

  20. Análise multidimensional

    Directory of Open Access Journals (Sweden)

    SARDINHA Tony Berber

    2000-01-01

    Full Text Available Este trabalho oferece uma retrospectiva da abordagem conhecida por 'Análise Multidimensional', iniciada por Douglas Biber. O trabalho apresenta os conceitos centrais relacionados a esta abordagem e resenha os estudos principais que a utilizaram. Trabalhos ainda inéditos, realizados no Brasil, também são resenhados. O artigo ainda inclui uma discussão acerca das principais críticas relacionadas à Análise Multidimensional.

  1. Variations of fundamental constants and multidimensional gravity

    Science.gov (United States)

    Bronnikova, K. A.; Skvortsova, M. V.

    We try to explain the recently reported large-scale spatial variations of the fine structure constant α, in agreement with other cosmological observations, in the framework of curvature-nonlinear multidimensional gravity. The original theory is reduced to a scalar-tensor theory in four dimensions, and the corresponding isotropic cosmologies are considered in both Einstein and Jordan conformal frames. In the Jordan frame one obtains simultaneous variations of α and the gravitational constant G, equal in magnitude. Long-wave small inhomogeneous perturbations of isotropic models allow for explaining spatial variations of α.

  2. Aggression and Multidimensional Perfectionism as the Predictors of Locus of Control

    Directory of Open Access Journals (Sweden)

    Zeynep KARATAŞ

    2012-12-01

    Full Text Available The purpose of this study was to determine whether there is a relationship between locus of control, aggression and multidimensional perfectionism, and the extent to which the variables of aggression and multidimensional perfectionism contribute to the prediction of locus of control. The study was carried out with students of 268 teachers colleges in Mehmet Akif Ersoy University. Aggression Questionnaire adopted by Can (2002, Locus of Control Scale (Dağ, 2002 and Multi-Dimensional Perfectionism Scale adopted by Oral (1999 were used in the study. Correlation Coefficient of Pearson Moments Multiplying and Gradual Regression Analysis were used in the analysis of the data. As a consequence, it was determined that there is a positive relationship between locus of control, aggression and multi-dimensional perfectionism. Also, it was observed that the variables of aggression and multidimensional perfectionism significantly predict locus of control.

  3. Large-scale targeted metagenomics analysis of bacterial ecological changes in 88 kimchi samples during fermentation.

    Science.gov (United States)

    Lee, Moeun; Song, Jung Hee; Jung, Min Young; Lee, Se Hee; Chang, Ji Yoon

    2017-09-01

    The microbial communities in kimchi vary widely, but the precise effects of differences in region of origin, ingredients, and preparation method on the microbiota are unclear. We analyzed the bacterial community composition of household (n = 69) and commercial (n = 19) kimchi samples obtained from six Korean provinces between April and August 2015. Samples were analyzed by barcoded pyrosequencing targeting the V1-V3 region of the 16S ribosomal RNA gene. The initial pH of the kimchi samples was 5.00-6.39, and the salt concentration was 1.72-4.42%. Except for sampling locality, all categorical variables, i.e., salt concentration, major ingredient, fermentation period, sampling time, and manufacturing process, influenced the bacterial community composition. Particularly, samples were highly clustered by sampling time and salt concentration in non-metric multidimensional scaling plots and an analysis of similarity. These results indicated that the microbial community differed according to fermentation conditions such as salt concentration, major ingredient, fermentation period, and sampling time. Furthermore, fermentation properties, including pH, acidity, salt concentration, and microbial abundance differed between kimchi samples from household and commercial sources. Analyses of changes in bacterial ecology during fermentation will improve our understanding of the biological properties of kimchi, as well as the relationships between these properties and the microbiota of kimchi. Copyright © 2017 Elsevier Ltd. All rights reserved.

  4. Characterization of biofouling in a lab-scale forward osmosis membrane bioreactor (FOMBR).

    Science.gov (United States)

    Zhang, Qiaoyun; Jie, Yap Wei; Loong, Winson Lay Chee; Zhang, Jinsong; Fane, Anthony G; Kjelleberg, Staffan; Rice, Scott A; McDougald, Diane

    2014-07-01

    Forward osmosis membrane bioreactors (FOMBR) provide high quality permeate, however the propensity for membrane biofouling in FOMBRs is unknown. Here, FOMBRs were operated under high and low aeration and the membrane-associated biofilms were characterized by confocal laser scanning microscopy (CLSM) and rRNA gene-tagged pyrosequencing. CLSM images revealed that there was little biofilm formed under high aeration, while thick biofilms were observed on the membranes operated under low aeration. The diversity and richness of bacterial and archaeal communities as assessed by pyrosequencing varied under high and low aeration. The composition of the bacterial suspended sludge communities and the sessile biomass on the membrane surface, as assessed by non-metric multidimensional scaling, was significantly different under high aeration, but was more similar under low aeration. SIMPER analysis indicated that Pseudomonas, Aeromonas and Fluviicola preferentially attached to the membrane. The results presented here provide a comprehensive understanding of membrane biofouling in FOMBRs, which is essential for the development of effective control strategies.

  5. Multi-Dimensional Path Queries

    DEFF Research Database (Denmark)

    Bækgaard, Lars

    1998-01-01

    We present the path-relationship model that supports multi-dimensional data modeling and querying. A path-relationship database is composed of sets of paths and sets of relationships. A path is a sequence of related elements (atoms, paths, and sets of paths). A relationship is a binary path...... to create nested path structures. We present an SQL-like query language that is based on path expressions and we show how to use it to express multi-dimensional path queries that are suited for advanced data analysis in decision support environments like data warehousing environments...

  6. Multidimensional real analysis I differentiation

    CERN Document Server

    Duistermaat, J J; van Braam Houckgeest, J P

    2004-01-01

    Part one of the authors' comprehensive and innovative work on multidimensional real analysis. This book is based on extensive teaching experience at Utrecht University and gives a thorough account of differential analysis in multidimensional Euclidean space. It is an ideal preparation for students who wish to go on to more advanced study. The notation is carefully organized and all proofs are clean, complete and rigorous. The authors have taken care to pay proper attention to all aspects of the theory. In many respects this book presents an original treatment of the subject and it contains man

  7. A Multidimensional Software Engineering Course

    Science.gov (United States)

    Barzilay, O.; Hazzan, O.; Yehudai, A.

    2009-01-01

    Software engineering (SE) is a multidimensional field that involves activities in various areas and disciplines, such as computer science, project management, and system engineering. Though modern SE curricula include designated courses that address these various subjects, an advanced summary course that synthesizes them is still missing. Such a…

  8. A Multidimensional Software Engineering Course

    Science.gov (United States)

    Barzilay, O.; Hazzan, O.; Yehudai, A.

    2009-01-01

    Software engineering (SE) is a multidimensional field that involves activities in various areas and disciplines, such as computer science, project management, and system engineering. Though modern SE curricula include designated courses that address these various subjects, an advanced summary course that synthesizes them is still missing. Such a…

  9. Multidimensional child deprivation in Iran

    NARCIS (Netherlands)

    Yousefzadeh Faal Daghati, Sepideh; Mideros-Mora, Andrés; De Neubourg, Chris; Minujin, Alberto; Nandy, Shailen

    2012-01-01

    The chapter analyses children's multidimensional deprivation in Iran in 2009 and explores inequalities in different regions. The study focused on outcome indicators, with the level of analysis focusing on the individual child as well as the household. A child rights approach is applied to define dim

  10. Multidimensional Perfectionism and Ego Defenses

    Science.gov (United States)

    Dickinson, Wendy L.; Ashby, Jeffrey S.

    2005-01-01

    This study examined the relationship between multidimensional perfectionism and ego defense style among 130 college students. Cluster analysis results facilitated the identification of groups of adaptive perfectionists, maladaptive perfectionists, and non-perfectionists. The researchers found that identified maladaptive perfectionists used…

  11. Multidimensional Perfectionism and Ego Defenses

    Science.gov (United States)

    Dickinson, Wendy L.; Ashby, Jeffrey S.

    2005-01-01

    This study examined the relationship between multidimensional perfectionism and ego defense style among 130 college students. Cluster analysis results facilitated the identification of groups of adaptive perfectionists, maladaptive perfectionists, and non-perfectionists. The researchers found that identified maladaptive perfectionists used…

  12. A MULTIDIMENSIONAL AND MULTIPHYSICS APPROACH TO NUCLEAR FUEL BEHAVIOR SIMULATION

    Energy Technology Data Exchange (ETDEWEB)

    R. L. Williamson; J. D. Hales; S. R. Novascone; M. R. Tonks; D. R. Gaston; C. J. Permann; D. Andrs; R. C. Martineau

    2012-04-01

    Important aspects of fuel rod behavior, for example pellet-clad mechanical interaction (PCMI), fuel fracture, oxide formation, non-axisymmetric cooling, and response to fuel manufacturing defects, are inherently multidimensional in addition to being complicated multiphysics problems. Many current modeling tools are strictly 2D axisymmetric or even 1.5D. This paper outlines the capabilities of a new fuel modeling tool able to analyze either 2D axisymmetric or fully 3D models. These capabilities include temperature-dependent thermal conductivity of fuel; swelling and densification; fuel creep; pellet fracture; fission gas release; cladding creep; irradiation growth; and gap mechanics (contact and gap heat transfer). The need for multiphysics, multidimensional modeling is then demonstrated through a discussion of results for a set of example problems. The first, a 10-pellet rodlet, demonstrates the viability of the solution method employed. This example highlights the effect of our smeared cracking model and also shows the multidimensional nature of discrete fuel pellet modeling. The second example relies on our the multidimensional, multiphysics approach to analyze a missing pellet surface problem. As a final example, we show a lower-length-scale simulation coupled to a continuum-scale simulation.

  13. Confiabilidade e pontuação mínima relacionada à intervenção analgésica de uma escala multidimensional para avaliação de dor pós-operatória em gatos Reliability and cut-off point related to the analgesic intervention of a multidimensional composite scale to assess postoperative pain in cats

    Directory of Open Access Journals (Sweden)

    J.T. Brondani

    2013-02-01

    Full Text Available Avaliou-se a confiabilidade e determinou-se a pontuação mínima relacionada à necessidade de intervenção analgésica de uma escala multidimensional para avaliação de dor pós-operatória em gatas submetidas à ovário-histerectomia. Trinta gatas foram filmadas em quatro momentos predeterminados: pré-operatório, pós-operatório antes e depois da analgesia de resgate e às 24 horas após a cirurgia. Quatro observadores, não cientes dos momentos de avaliação, e um observador, considerado padrão-ouro - pesquisador que desenvolveu a escala - , avaliaram os vídeos em ordem aleatória, a partir da aplicação da escala, e determinaram a suficiência ou não de analgesia, baseando-se na experiência clínica. Os vídeos foram reavaliados dois meses após a primeira análise. O grau de concordância entre as avaliações dos diferentes observadores e das avaliações feitas pelo mesmo observador em diferentes ocasiões foi verificado pelo coeficiente de correlação intraclasse, que variou entre bom e muito bom para todos os itens da escala, exceto atividade, atitude e miscelânea de comportamentos que apresentaram confiabilidade moderada. O ponto de corte ótimo (> 7 foi selecionado pela análise descritiva e da curva Receiver Operating Characteristic. Os resultados suportam a confiabilidade em termos de reprodutibilidade e estabilidade e indicam que a terapia analgésica deve ser considerada em pontuações >8.The aim with this study was to evaluate the reliability, and to establish the minimum score relating to the analgesic intervention of a multidimensional scale for use in assessing postoperative pain in cats undergoing ovariohysterectomy. Thirty cats were video recorded at 4 predetermined moments: prior to surgery, before and after rescue analgesia postoperatively, and 24 hours after surgery. Four observers blind to the times of assessment, and a gold standard observer (researcher who developed the scale evaluated the video segments

  14. Ordinal Comparison of Multidimensional Deprivation

    DEFF Research Database (Denmark)

    Sonne-Schmidt, Christoffer Scavenius; Tarp, Finn; Østerdal, Lars Peter

    This paper develops an ordinal method of comparison of multidimensional inequality. In our model, population distribution g is more unequal than f when the distributions have common median and can be obtained from f  by one or more shifts in population density that increase inequality. For our be...... benchmark 2x2 case (i.e. the case of two binary outcome variables), we derive an empirical method for making inequality comparisons. As an illustration, we apply the model to childhood poverty in Mozambique.......This paper develops an ordinal method of comparison of multidimensional inequality. In our model, population distribution g is more unequal than f when the distributions have common median and can be obtained from f  by one or more shifts in population density that increase inequality. For our...

  15. XML Multidimensional Modelling and Querying

    CERN Document Server

    Boucher, Serge; Zimányi, Esteban

    2009-01-01

    As XML becomes ubiquitous and XML storage and processing becomes more efficient, the range of use cases for these technologies widens daily. One promising area is the integration of XML and data warehouses, where an XML-native database stores multidimensional data and processes OLAP queries written in the XQuery interrogation language. This paper explores issues arising in the implementation of such a data warehouse. We first compare approaches for multidimensional data modelling in XML, then describe how typical OLAP queries on these models can be expressed in XQuery. We then show how, regardless of the model, the grouping features of XQuery 1.1 improve performance and readability of these queries. Finally, we evaluate the performance of query evaluation in each modelling choice using the eXist database, which we extended with a grouping clause implementation.

  16. Executive Information Systems' Multidimensional Models

    Directory of Open Access Journals (Sweden)

    2007-01-01

    Full Text Available Executive Information Systems are design to improve the quality of strategic level of management in organization through a new type of technology and several techniques for extracting, transforming, processing, integrating and presenting data in such a way that the organizational knowledge filters can easily associate with this data and turn it into information for the organization. These technologies are known as Business Intelligence Tools. But in order to build analytic reports for Executive Information Systems (EIS in an organization we need to design a multidimensional model based on the business model from the organization. This paper presents some multidimensional models that can be used in EIS development and propose a new model that is suitable for strategic business requests.

  17. Cuba: Multidimensional numerical integration library

    Science.gov (United States)

    Hahn, Thomas

    2016-08-01

    The Cuba library offers four independent routines for multidimensional numerical integration: Vegas, Suave, Divonne, and Cuhre. The four algorithms work by very different methods, and can integrate vector integrands and have very similar Fortran, C/C++, and Mathematica interfaces. Their invocation is very similar, making it easy to cross-check by substituting one method by another. For further safeguarding, the output is supplemented by a chi-square probability which quantifies the reliability of the error estimate.

  18. Motivation and Engagement in the Workplace: Examining a Multidimensional Framework and Instrument from a Measurement and Evaluation Perspective

    Science.gov (United States)

    Martin, Andrew J.

    2009-01-01

    This investigation conducts measurement and evaluation of a multidimensional model of workplace motivation and engagement from a construct validation perspective. Two studies were conducted, one using the multi-item multidimensional Motivation and Engagement Scale-Work (N = 637 school personnel) and one using a parallel short form (N = 574 school…

  19. Motivation and Engagement in the Workplace: Examining a Multidimensional Framework and Instrument from a Measurement and Evaluation Perspective

    Science.gov (United States)

    Martin, Andrew J.

    2009-01-01

    This investigation conducts measurement and evaluation of a multidimensional model of workplace motivation and engagement from a construct validation perspective. Two studies were conducted, one using the multi-item multidimensional Motivation and Engagement Scale-Work (N = 637 school personnel) and one using a parallel short form (N = 574 school…

  20. Online Nanoflow Multidimensional Fractionation for High Efficiency Phosphopeptide Analysis*

    OpenAIRE

    Ficarro, Scott B.; Zhang, Yi; Carrasco-Alfonso, Marlene J.; Garg, Brijesh; Adelmant, Guillaume; Webber, James T.; Luckey, C. John; Marto, Jarrod A.

    2011-01-01

    Despite intense, continued interest in global analyses of signaling cascades through mass spectrometry-based studies, the large-scale, systematic production of phosphoproteomics data has been hampered in-part by inefficient fractionation strategies subsequent to phosphopeptide enrichment. Here we explore two novel multidimensional fractionation strategies for analysis of phosphopeptides. In the first technique we utilize aliphatic ion pairing agents to improve retention of phosphopeptides at ...

  1. Construct validity of multidimensional personality questionnaire (MPQ

    Directory of Open Access Journals (Sweden)

    Mitrović Dušanka

    2007-01-01

    Full Text Available The paper presents two studies aimed at the examination of the factor structure of The Multidimensional Personality Questionnaire (MPQ and joint factor structure of the scales of MPQ and SPSRQ (The Sensitivity to Punishment and Sensitivity to Reward Questionnaire. In the first research conducted on the sample of 1127 participants of both sexes, age 18 to 67, the results of the principal component analysis of the MPQ scales point to the existence of three higher-order dimensions, named General Adaptedness, Psychopathic Tendencies and Negative Emotionality. These dimensions correspond to the dimensions of the Eysenck’s PEN model to the greater extent than they achieve the assumed similarity with the dimensions of the Reinforcement Sensitivity Theory. In the second study conducted on the sample of 199 respondents of both sexes, age 18 to 59, the results of the joint principal component analysis of the MPQ and SPSRQ scales point to the existence of three higher order dimensions, which correspond to the Tellegen’s Positive Emotionality, Negative Emotionality, and Constraint. .

  2. Ordinal Comparison of Multidimensional Deprivation

    DEFF Research Database (Denmark)

    Sonne-Schmidt, Christoffer Scavenius; Tarp, Finn; Østerdal, Lars Peter

    This paper develops an ordinal method of comparison of multidimensional inequality. In our model, population distribution g is more unequal than f when the distributions have common median and can be obtained from f  by one or more shifts in population density that increase inequality. For our be...... benchmark 2x2 case (i.e. the case of two binary outcome variables), we derive an empirical method for making inequality comparisons. As an illustration, we apply the model to childhood poverty in Mozambique....

  3. Multidimensional fatigue and its correlates in hospitalised advanced cancer patients.

    NARCIS (Netherlands)

    Echteld, M.A.; Passchier, J.; Teunissen, S.; Claessen, S.; Wit, R. de; Rijt, C.C.D. van der

    2007-01-01

    Although fatigue is a multidimensional concept, multidimensional fatigue is rarely investigated in hospitalised cancer patients. We determined the levels and correlates of multidimensional fatigue in 100 advanced cancer patients admitted for symptom control. Fatigue dimensions were general fatigue (

  4. Theme section: Multi-dimensional modelling, analysis and visualization

    Science.gov (United States)

    Guilbert, Éric; Çöltekin, Arzu; Castro, Francesc Antón; Pettit, Chris

    2016-07-01

    Spatial data are now collected and processed in larger amounts, and used by larger populations than ever before. While most geospatial data have traditionally been recorded as two-dimensional data, the evolution of data collection methods and user demands have led to data beyond the two dimensions describing complex multidimensional phenomena. An example of the relevance of multidimensional modelling is seen with the development of urban modelling where several dimensions have been added to the traditional 2D map representation (Sester et al., 2011). These include obviously the third spatial dimension (Biljecki et al., 2015) as well as the temporal, but also the scale dimension (Van Oosterom and Stoter, 2010) or, as mentioned by (Lu et al., 2016), multi-spectral and multi-sensor data. Such a view provides an organisation of multidimensional data around these different axes and it is time to explore each axis as the availability of unprecedented amounts of new data demands new solutions. The availability of such large amounts of data induces an acute need for developing new approaches to assist with their dissemination, visualisation, and analysis by end users. Several issues need to be considered in order to provide a meaningful representation and assist in data visualisation and mining, modelling and analysis; such as data structures allowing representation at different scales or in different contexts of thematic information.

  5. Multidimensional multiphysics simulation of nuclear fuel behavior

    Science.gov (United States)

    Williamson, R. L.; Hales, J. D.; Novascone, S. R.; Tonks, M. R.; Gaston, D. R.; Permann, C. J.; Andrs, D.; Martineau, R. C.

    2012-04-01

    Nuclear fuel operates in an environment that induces complex multiphysics phenomena, occurring over distances ranging from inter-atomic spacing to meters, and times scales ranging from microseconds to years. This multiphysics behavior is often tightly coupled and many important aspects are inherently multidimensional. Most current fuel modeling codes employ loose multiphysics coupling and are restricted to 2D axisymmetric or 1.5D approximations. This paper describes a new modeling tool able to simulate coupled multiphysics and multiscale fuel behavior, for either 2D axisymmetric or 3D geometries. Specific fuel analysis capabilities currently implemented in this tool are described, followed by a set of demonstration problems which include a 10-pellet light water reactor fuel rodlet, three-dimensional analysis of pellet clad mechanical interaction in the vicinity of a defective fuel pellet, coupled heat transfer and fission product diffusion in a TRISO-coated fuel particle, a demonstration of the ability to couple to lower-length scale models to account for material property variation with microstructural evolution, and a demonstration of the tool's ability to efficiently solve very large and complex problems using massively-parallel computing. A final section describes an early validation exercise, comparing simulation results to a light water reactor fuel rod experiment.

  6. Multi-Dimensional Aggregation for Temporal Data

    DEFF Research Database (Denmark)

    Böhlen, M. H.; Gamper, J.; Jensen, Christian Søndergaard

    2006-01-01

    Business Intelligence solutions, encompassing technologies such as multi-dimensional data modeling and aggregate query processing, are being applied increasingly to non-traditional data. This paper extends multi-dimensional aggregation to apply to data with associated interval values that capture...

  7. Multi-dimensional model order selection

    Directory of Open Access Journals (Sweden)

    Roemer Florian

    2011-01-01

    Full Text Available Abstract Multi-dimensional model order selection (MOS techniques achieve an improved accuracy, reliability, and robustness, since they consider all dimensions jointly during the estimation of parameters. Additionally, from fundamental identifiability results of multi-dimensional decompositions, it is known that the number of main components can be larger when compared to matrix-based decompositions. In this article, we show how to use tensor calculus to extend matrix-based MOS schemes and we also present our proposed multi-dimensional model order selection scheme based on the closed-form PARAFAC algorithm, which is only applicable to multi-dimensional data. In general, as shown by means of simulations, the Probability of correct Detection (PoD of our proposed multi-dimensional MOS schemes is much better than the PoD of matrix-based schemes.

  8. SUSTAINABLE DEVELOPMENT, A MULTIDIMENSIONAL CONCEPT

    Directory of Open Access Journals (Sweden)

    TEODORESCU ANA MARIA

    2015-06-01

    Full Text Available Sustainable development imposed itself as a corollary of economic term "development". Sustainable development is meant to be the summation of economic, environmental and social considerations for the present and especially for the future. The concept of sustainable development plays an important role in european and global meetings since 1972, the year it has been set for the first time. Strategies necessary to achieve the objectives of sustainable development have been developed, indicators meant to indicate the result of the implementation of policies have been created, national plans were oriented towards achieving the proposed targets. I wanted to highlight the multidimensional character of the concept of sustainable development. Thus, using specialized national and international literature, I have revealed different approaches of one pillar to the detriment of another pillar depending on the specific field. In the different concepts of sustainable development, the consensus is undoubtedly agreed on its components: economic, social, environmental. Based on this fact, the concept of sustainability has different connotations depending on the specific content of each discipline: biology, economics, sociology, environmental ethics. The multidimensional valence of sustainable development consists of three pillars ability to act together for the benefit of present and future generations. Being a multidimensional concept, importance attached to a pillar over another is directed according to the particularities of each field: in economy profit prevails, in ecology care of natural resources is the most important, the social aims improving human living conditions. The challenge of sustainable development is to combine all the economic, environmental and social benefits and the present generation to come. Ecological approach is reflected in acceptance of limited natural resources by preserving natural capital. In terms of the importance of

  9. Variation in the macrofaunal community over large temporal and spatial scales in the southern Yellow Sea

    Science.gov (United States)

    Xu, Yong; Sui, Jixing; Yang, Mei; Sun, Yue; Li, Xinzheng; Wang, Hongfa; Zhang, Baolin

    2017-09-01

    To detect large, temporal- and spatial-scale variations in the macrofaunal community in the southern Yellow Sea, data collected along the western, middle and eastern regions of the southern Yellow Sea from 1958 to 2014 were organized and analyzed. Statistical methods such as cluster analysis, non-metric multidimensional scaling ordination (nMDS), permutational multivariate analysis of variance (PERMANOVA), redundancy analysis (RDA) and canonical correspondence analysis (CCA) were applied. The abundance of polychaetes increased in the western region but decreased in the eastern region from 1958 to 2014, whereas the abundance of echinoderms showed an opposite trend. For the entire macrofaunal community, Margalef's richness (d), the Shannon-Wiener index (H‧) and Pielou's evenness (J‧) were significantly lower in the eastern region when compared with the other two regions. No significant temporal differences were found for d and H‧, but there were significantly lower values of J‧ in 2014. Considerable variation in the macrofaunal community structure over the past several decades and among the geographical regions at the species, genus and family levels were observed. The species, genera and families that contributed to the temporal variation in each region were also identified. The most conspicuous pattern was the increase in the species Ophiura sarsii vadicola in the eastern region. In the western region, five polychaetes (Ninoe palmata, Notomastus latericeus, Paralacydonia paradoxa, Paraprionospio pinnata and Sternaspis scutata) increased consistently from 1958 to 2014. The dominance curves showed that both the species diversity and the dominance patterns were relatively stable in the western and middle regions. Environmental parameters such as depth, temperature and salinity could only partially explain the observed biological variation in the southern Yellow Sea. Anthropogenic activities such as demersal fishing and other unmeasured environmental variables

  10. Digital non-metric image-based documentation for the preservation and restoration of mural paintings: the case of the Üzümlü Rock-hewn Church, Turkey

    Directory of Open Access Journals (Sweden)

    Ryo Higuchi

    2016-05-01

    Full Text Available Digital photography is a valuable documentation technique for the preservation of a cultural heritage site because highresolution photography presents both general and detailed views of mural paintings and mural condition in a single image. Advanced digital technology is particularly helpful for preserving and restoring mural paintings given that the painting condition is recorded on high-resolution base maps shows how mural paintings are damaged by environmental stresses, mechanical damages and inappropriate treatments, among others. In addition, photogrammetric software technology is rapidly advancing and being applied to the digital documentation of mural paintings or rock art. Nevertheless, human experience and investigation of mural paintings is indispensable for recording the condition of mural paintings, and this highlights that every step of documentation conducted in situ is desirable. However, images by photogrammetric software do not show sufficient resolution because most normal portable computers used on-site are not usually sufficient. Based on our experience at the Üzümlü Church in Cappadocia, Turkey, we propose a new approach to document mural conditions in situ for preservation and restoration. Our method is based on a comparison of a non-metric but approximate high-resolution image with the actual mural paintings. The method does not require special instruments and enables digital documentation of the mural condition in situ at a low cost, in a short time frame and using minimal human resources.

  11. Heuristics for Multidimensional Packing Problems

    DEFF Research Database (Denmark)

    Egeblad, Jens

    for a minimum height container required for the items. The main contributions of the thesis are three new heuristics for strip-packing and knapsack packing problems where items are both rectangular and irregular. In the two first papers we describe a heuristic for the multidimensional strip-packing problem...... for a three-dimensional knapsack packing problem involving furniture is presented in the fourth paper. The heuristic is based on a variety of techniques including tree-search, wall-building, and sequential placement. The solution process includes considerations regarding stability and load bearing strength...... paper. Ensuring that a loaded consignment of items are balanced throughout a container can reduce fuel consumption and prolong the life-span of vehicles. The heuristic can be used as a post-processing tool to reorganize an existing solution to a packing problem. A method for optimizing the placement...

  12. Minimal models of multidimensional computations.

    Directory of Open Access Journals (Sweden)

    Jeffrey D Fitzgerald

    2011-03-01

    Full Text Available The multidimensional computations performed by many biological systems are often characterized with limited information about the correlations between inputs and outputs. Given this limitation, our approach is to construct the maximum noise entropy response function of the system, leading to a closed-form and minimally biased model consistent with a given set of constraints on the input/output moments; the result is equivalent to conditional random field models from machine learning. For systems with binary outputs, such as neurons encoding sensory stimuli, the maximum noise entropy models are logistic functions whose arguments depend on the constraints. A constraint on the average output turns the binary maximum noise entropy models into minimum mutual information models, allowing for the calculation of the information content of the constraints and an information theoretic characterization of the system's computations. We use this approach to analyze the nonlinear input/output functions in macaque retina and thalamus; although these systems have been previously shown to be responsive to two input dimensions, the functional form of the response function in this reduced space had not been unambiguously identified. A second order model based on the logistic function is found to be both necessary and sufficient to accurately describe the neural responses to naturalistic stimuli, accounting for an average of 93% of the mutual information with a small number of parameters. Thus, despite the fact that the stimulus is highly non-Gaussian, the vast majority of the information in the neural responses is related to first and second order correlations. Our results suggest a principled and unbiased way to model multidimensional computations and determine the statistics of the inputs that are being encoded in the outputs.

  13. The Structure of Multidimensional Perfectionism: Support for a Bifactor Model With a Dominant General Factor.

    Science.gov (United States)

    Smith, Martin M; Saklofske, Donald H

    2016-08-05

    Evidence suggests perfectionism is a multidimensional construct composed of 2 higher order factors: perfectionistic strivings and perfectionistic concerns. However, the substantial overlap between perfectionistic strivings and perfectionistic concerns is problematic, as are the unanswered questions regarding the structure of perfectionism following removal of common variance. This research addressed this through bifactor modeling. Three student samples (N = 742) completed Hewitt and Flett's ( 1991 ) Multidimensional Perfectionism Scale, Frost, Marten, Lahart, and Rosenblate's ( 1990 ) Multidimensional Perfectionism Scale, and Slaney, Rice, Mobley, Trippi, and Ashby's ( 2001 ) Almost Perfect Scale-Revised. Greater support was consistently found for the bifactor model, relative to the 2-factor model. Results suggest the bifactor model best represents the structure of perfectionism and provide preliminary support for the use of a general factor score. Researchers are cautioned that removal of general variance may render the reliability of specific factors (i.e., perfectionistic strivings and perfectionistic concerns) suspect.

  14. The development and validation of a multidimensional sum-scaling questionnaire to measure patient-reported outcomes in acute respiratory tract infections in primary care: the Acute Respiratory Tract Infection Questionnaire: ARTIQ

    DEFF Research Database (Denmark)

    Aabenhus, R.; Thorsen, H.; Siersma, V.

    2013-01-01

    OBJECTIVE: Patient-reported outcomes are seldom validated measures in clinical trials of acute respiratory tract infections (ARTIs) in primary care. We developed and validated a patient-reported outcome sum-scaling measure to assess the severity and functional impacts of ARTIs. METHODS: Qualitati......, sum-scaling questionnaire with high face and content validity and adequate psychometric properties for assessing severity and functional impacts from ARTIs in adults is available to clinical trials and audits in primary care....

  15. Multidimensional singular integrals and integral equations

    CERN Document Server

    Mikhlin, Solomon Grigorievich; Stark, M; Ulam, S

    1965-01-01

    Multidimensional Singular Integrals and Integral Equations presents the results of the theory of multidimensional singular integrals and of equations containing such integrals. Emphasis is on singular integrals taken over Euclidean space or in the closed manifold of Liapounov and equations containing such integrals. This volume is comprised of eight chapters and begins with an overview of some theorems on linear equations in Banach spaces, followed by a discussion on the simplest properties of multidimensional singular integrals. Subsequent chapters deal with compounding of singular integrals

  16. Multidimensional gene set analysis of genomic data.

    Directory of Open Access Journals (Sweden)

    David Montaner

    Full Text Available Understanding the functional implications of changes in gene expression, mutations, etc., is the aim of most genomic experiments. To achieve this, several functional profiling methods have been proposed. Such methods study the behaviour of different gene modules (e.g. gene ontology terms in response to one particular variable (e.g. differential gene expression. In spite to the wealth of information provided by functional profiling methods, a common limitation to all of them is their inherent unidimensional nature. In order to overcome this restriction we present a multidimensional logistic model that allows studying the relationship of gene modules with different genome-scale measurements (e.g. differential expression, genotyping association, methylation, copy number alterations, heterozygosity, etc. simultaneously. Moreover, the relationship of such functional modules with the interactions among the variables can also be studied, which produces novel results impossible to be derived from the conventional unidimensional functional profiling methods. We report sound results of gene sets associations that remained undetected by the conventional one-dimensional gene set analysis in several examples. Our findings demonstrate the potential of the proposed approach for the discovery of new cell functionalities with complex dependences on more than one variable.

  17. Analytical chemistry, multidimensional spectral signatures, and the future of coherent multidimensional spectroscopy

    Science.gov (United States)

    Wright, John C.

    2016-10-01

    Spectroscopy is a dominant measurement methodology because it resolves molecular level details over a wide concentration range. Its limitations, however, become challenged when applied to complex materials. Coherent multidimensional spectroscopy (CMDS) is the optical analogue of multidimensional NMR and like NMR, its multidimensionality promises to increase the spectral selectivity of vibrational and electronic spectroscopy. This article explores whether this promise can make CMDS a dominant spectroscopic method throughout the sciences. In order for CMDS to become a dominant methodology, it must create multidimensional spectral fingerprints that provide the selectivity required for probing complex samples. Pump-CMDS probe methods separate the pump's measurement of dynamics from a multidimensional and selective probe. Fully coherent CMDS methods are ideal multidimensional probes because they avoid relaxation effects, spectrally isolate the output signals, and provide unique and invariant spectral signatures using any combination of vibrational and electronic quantum states.

  18. NASA Multidimensional Stirling Convertor Code Developed

    Science.gov (United States)

    Tew, Roy C.; Thieme, Lanny G.

    2004-01-01

    A high-efficiency Stirling Radioisotope Generator (SRG) for use on potential NASA Space Science missions is being developed by the Department of Energy, Lockheed Martin, Stirling Technology Company, and the NASA Glenn Research Center. These missions may include providing spacecraft onboard electric power for deep space missions or power for unmanned Mars rovers. Glenn is also developing advanced technology for Stirling convertors, aimed at substantially improving the specific power and efficiency of the convertor and the overall power system. Performance and mass improvement goals have been established for second- and third-generation Stirling radioisotope power systems. Multiple efforts are underway to achieve these goals, both in house at Glenn and under various grants and contracts. These efforts include the development of a multidimensional Stirling computational fluid dynamics code, high-temperature materials, advanced controllers, an end-to-end system dynamics model, low-vibration techniques, advanced regenerators, and a lightweight convertor. Under a NASA grant, Cleveland State University (CSU) and its subcontractors, the University of Minnesota (UMN) and Gedeon Associates, have developed a twodimensional computer simulation of a CSUmod Stirling convertor. The CFD-ACE commercial software developed by CFD Research Corp. of Huntsville, Alabama, is being used. The CSUmod is a scaled version of the Stirling Technology Demonstrator Convertor (TDC), which was designed and fabricated by the Stirling Technology Company and is being tested by NASA. The schematic illustrates the structure of this model. Modeled are the fluid-flow and heat-transfer phenomena that occur in the expansion space, the heater, the regenerator, the cooler, the compression space, the surrounding walls, and the moving piston and displacer. In addition, the overall heat transfer, the indicated power, and the efficiency can be calculated. The CSUmod model is being converted to a two

  19. Discovering Multidimensional Structure in Relational Data

    DEFF Research Database (Denmark)

    Jensen, Mikael Rune; Holmgren, Thomas; Pedersen, Torben Bach

    2004-01-01

    On-Line Analytical Processing (OLAP) systems based on multidimensional databases are essential elements of decision support. However, most existing data is stored in “ordinary” relational OLTP databases, i.e., data has to be (re-) modeled as multidimensional cubes before the advantages of OLAP...... tools are available. In this paper we present an approach for the automatic construction of multidimensional OLAP database schemas from existing relational OLTP databases, enabling easy OLAP design and analysis for most existing data sources. This is achieved through a set of practical and effective...... algorithms for discovering multidimensional schemas from relational databases. The algorithms take a wide range of available metadata into account in the discovery process, including functional and inclusion dependencies, and key and cardinality information....

  20. VH-1: Multidimensional ideal compressible hydrodynamics code

    Science.gov (United States)

    Hawley, John; Blondin, John; Lindahl, Greg; Lufkin, Eric

    2012-04-01

    VH-1 is a multidimensional ideal compressible hydrodynamics code written in FORTRAN for use on any computing platform, from desktop workstations to supercomputers. It uses a Lagrangian remap version of the Piecewise Parabolic Method developed by Paul Woodward and Phil Colella in their 1984 paper. VH-1 comes in a variety of versions, from a simple one-dimensional serial variant to a multi-dimensional version scalable to thousands of processors.

  1. RELATIVE PARAMETRIZATION OF LINEAR MULTIDIMENSIONAL SYSTEMS

    OpenAIRE

    Pommaret, Jean-François

    2012-01-01

    Presented for publication in the Springer journal MSSP:Multidimensional Systems and Signal Processing; In the last chapter of his book "The Algebraic Theory of Modular Systems " published in 1916, F. S. Macaulay developped specific techniques for dealing with " unmixed polynomial ideals " by introducing what he called " inverse systems ". The purpose of this paper is to extend such a point of view to differential modules defined by linear multidimensional systems, that is by linear systems of...

  2. Multilevel Architecture for Multidimensional Data Base

    OpenAIRE

    Salahli, M.

    2016-01-01

    A Multidimensional Data Base is an essential element of decision support, which allows to process complex queries. In this paper, a multilevel distributed Data Model for MDDB is presented. Metadata for ML)DB on relations is introduced. To improve efficiency of query processing, fuzzy cache fact table is proposed.A Multidimensional Data Base is an essential element of decision support, which allows to process complex queries. In this paper, a multilevel distributed Data Model for MDDB is prese...

  3. Evaluating Multidimensional Queries by Diamond Dicing

    CERN Document Server

    Webb, Hazel; Lemire, Daniel

    2010-01-01

    Queries that constrain multiple dimensions simultaneously are difficult to express and compute efficiently in both Structured Query Language (SQL) and multidimensional languages. We introduce the diamond cube operator to facilitate the expression of one such class of multidimensional query. We have developed, implemented and tested algorithms to compute diamonds on both real and synthetic large data sets. We show that our custom implementation is more than twenty-five times faster, on a large data set, than popular database engines.

  4. Indices de Pobreza Multidimensional: alcances y limitaciones

    OpenAIRE

    Mercado, Ruben

    2016-01-01

    En éste trabajo se presentan las características de los principales índices de pobreza multidimensional, y se analizan sus alcances y limitaciones tanto para la medida de la pobreza como para servir como guías de las políticas públicas. This paper presents the characteristics of the main indices of multidimensional poverty, and analyses their scope and limitations as measures of poverty and as guides for public policy.

  5. Multidimensionally encoded magnetic resonance imaging.

    Science.gov (United States)

    Lin, Fa-Hsuan

    2013-07-01

    Magnetic resonance imaging (MRI) typically achieves spatial encoding by measuring the projection of a q-dimensional object over q-dimensional spatial bases created by linear spatial encoding magnetic fields (SEMs). Recently, imaging strategies using nonlinear SEMs have demonstrated potential advantages for reconstructing images with higher spatiotemporal resolution and reducing peripheral nerve stimulation. In practice, nonlinear SEMs and linear SEMs can be used jointly to further improve the image reconstruction performance. Here, we propose the multidimensionally encoded (MDE) MRI to map a q-dimensional object onto a p-dimensional encoding space where p > q. MDE MRI is a theoretical framework linking imaging strategies using linear and nonlinear SEMs. Using a system of eight surface SEM coils with an eight-channel radiofrequency coil array, we demonstrate the five-dimensional MDE MRI for a two-dimensional object as a further generalization of PatLoc imaging and O-space imaging. We also present a method of optimizing spatial bases in MDE MRI. Results show that MDE MRI with a higher dimensional encoding space can reconstruct images more efficiently and with a smaller reconstruction error when the k-space sampling distribution and the number of samples are controlled.

  6. Multidimensional Poverty and Child Survival in India

    Science.gov (United States)

    Mohanty, Sanjay K.

    2011-01-01

    Background Though the concept of multidimensional poverty has been acknowledged cutting across the disciplines (among economists, public health professionals, development thinkers, social scientists, policy makers and international organizations) and included in the development agenda, its measurement and application are still limited. Objectives and Methodology Using unit data from the National Family and Health Survey 3, India, this paper measures poverty in multidimensional space and examine the linkages of multidimensional poverty with child survival. The multidimensional poverty is measured in the dimension of knowledge, health and wealth and the child survival is measured with respect to infant mortality and under-five mortality. Descriptive statistics, principal component analyses and the life table methods are used in the analyses. Results The estimates of multidimensional poverty are robust and the inter-state differentials are large. While infant mortality rate and under-five mortality rate are disproportionately higher among the abject poor compared to the non-poor, there are no significant differences in child survival among educationally, economically and health poor at the national level. State pattern in child survival among the education, economical and health poor are mixed. Conclusion Use of multidimensional poverty measures help to identify abject poor who are unlikely to come out of poverty trap. The child survival is significantly lower among abject poor compared to moderate poor and non-poor. We urge to popularize the concept of multiple deprivations in research and program so as to reduce poverty and inequality in the population. PMID:22046384

  7. Multidimensional poverty and child survival in India.

    Directory of Open Access Journals (Sweden)

    Sanjay K Mohanty

    Full Text Available BACKGROUND: Though the concept of multidimensional poverty has been acknowledged cutting across the disciplines (among economists, public health professionals, development thinkers, social scientists, policy makers and international organizations and included in the development agenda, its measurement and application are still limited. OBJECTIVES AND METHODOLOGY: Using unit data from the National Family and Health Survey 3, India, this paper measures poverty in multidimensional space and examine the linkages of multidimensional poverty with child survival. The multidimensional poverty is measured in the dimension of knowledge, health and wealth and the child survival is measured with respect to infant mortality and under-five mortality. Descriptive statistics, principal component analyses and the life table methods are used in the analyses. RESULTS: The estimates of multidimensional poverty are robust and the inter-state differentials are large. While infant mortality rate and under-five mortality rate are disproportionately higher among the abject poor compared to the non-poor, there are no significant differences in child survival among educationally, economically and health poor at the national level. State pattern in child survival among the education, economical and health poor are mixed. CONCLUSION: Use of multidimensional poverty measures help to identify abject poor who are unlikely to come out of poverty trap. The child survival is significantly lower among abject poor compared to moderate poor and non-poor. We urge to popularize the concept of multiple deprivations in research and program so as to reduce poverty and inequality in the population.

  8. Multidimensional and multiscalar analisis of territorial rural development in Brazil

    Directory of Open Access Journals (Sweden)

    Sergio Schneider

    2013-09-01

    Full Text Available Of late, there have been several political, practical and analytical changes to our understanding of rural development. Diverse efforts have emerged in the analysis and discussion of spatial dynamics such as “rurality”, territories, in the construction of a territorial perspective of rural development. These changes in the forms of identification and measurement of rural development lead us to question the validity and effectiveness of applied methods, inviting us to establish methodologies and analytical criteria coherent with the multiple manifestations and scales of development. This article offers a multidimensional and multi-scalar analytical model for territorial rural development, using our methodology tested in four rural territories of Brazil.

  9. Disruptive behavior disorders: Multidimensional analysis

    Directory of Open Access Journals (Sweden)

    José Antonio López-Villalobos

    2012-01-01

    Full Text Available El estudio tiene como objetivo el análisis de la contribución de variables sociodemográficas, clínicas, familiares y académicas en la probabilidad de presentar trastorno de comportamiento perturbador (TC. Se utiliza un diseño ex post facto, retrospectivo, transversal, comparativo con dos grupos (casos de TC y controles clínicos. La muestra es incidental y consta de 1.847 casos clínicos, con edades comprendidas entre los 6 y 16 años. Casos y controles se han definido mediante entrevista clínica según criterios DSM-IV-TR. El procedimiento incluye una fase descriptiva y un método estimativo multivariable de regresión logística para dar respuesta al objetivo principal. El modelo de regresión logística propuesto es significativo y clasifica el 87,2% de los casos. Las variables sexo varón (OR = 1,82; p = 0,00, comorbilidad (OR = 7,68; p = 0,00, CI límite (OR = 3,15; p = 0,00, menor nivel educativo madres (OR = 1,57; p = 0,04 y repetir curso (OR = 2; p = 0,00 incrementan significativamente la probabilidad para TC. Las variables edad, antecedentes psiquiátricos, padres separados y educación de padres no resultan significativas en el modelo. El TC presenta asociación multidimensional con variables clínicas, académicas y familiares, susceptibles de inclusión en programas preventivos.

  10. Variations of $\\alpha$ and $G$ from nonlinear multidimensional gravity

    CERN Document Server

    Bronnikov, K A

    2013-01-01

    To explain the recently reported large-scale spatial variations of the fine structure constant $\\alpha$, we apply some models of curvature-nonlinear multidimensional gravity. Under the reasonable assumption of slow changes of all quantities as compared with the Planck scale, the original theory reduces to a multi-scalar field theory in four dimensions. On this basis, we consider different variants of isotropic cosmological models in both Einstein and Jordan conformal frames. One of the models turns out to be equally viable in both frames, but in the Jordan frame the model predicts simultaneous variations of $\\alpha$ and the gravitational constant $G$, equal in magnitude. Large-scale small inhomogeneous perturbations of these models allow for explaining the observed spatial distribution of $\\alpha$ values.

  11. 基于生活水平维度的县级贫困度量研究--以武陵片区北部为例%MULTIDIMENSIONAL POVERTY MEASUREMENT BASED ON LIVING QUALITY AT THE COUNTRY SCALE---A CASE STUDY ON THE NORTH OF POVERTY-STRICKEN AREAS IN WULING

    Institute of Scientific and Technical Information of China (English)

    孙林; 王艳慧; 王强; 钱乐毅

    2015-01-01

    home and abroad in the field of poverty allevi-ation in recent years. Based on the Sen's capability approach theory, and multidimensional poverty index system es-tablished by Alkire and Foster in 2008 , which was used by UNDP to measure 104 countries in the Human Develop-ment Report in 2010, according to the actual situation of the study area, this paper established a poverty identifying index system of living quality dimension, which included 5 index, such as electricity, asset, safe water, house structure and fuel type. And then, combining with the survey data, it assessed the multidimensional poverty of the poor of 11 counties in the north of poverty-stricken areas at " county-village" scale in Wuling, analyzed the spatial heterogeneity through the " dimension aggregated/decomposition" . The result showed that Electricity and asset indexes had no effect on incidence of poverty and multidimensional poverty level but fuel index in the study ar-ea. The 11 counties in descending order of poverty levels were as follows: Badong County>Shizhu Tujia Autono-mous County > Zigui County > Jianshi County > Laifeng County > Enshi City > Hefeng County > Lichuan City > Fengdu County > Xianfeng County > Qianjiang District. Based on the safe water, housing structure index and fuel type index, those 11 counties can be divided into three types and each type had different multidimensional poverty cause. The local government should take different policies for poverty alleviation on the basis of the condi-tions of the counties.

  12. Global Langevin model of multidimensional biomolecular dynamics

    Science.gov (United States)

    Schaudinnus, Norbert; Lickert, Benjamin; Biswas, Mithun; Stock, Gerhard

    2016-11-01

    Molecular dynamics simulations of biomolecular processes are often discussed in terms of diffusive motion on a low-dimensional free energy landscape F ( 𝒙 ) . To provide a theoretical basis for this interpretation, one may invoke the system-bath ansatz á la Zwanzig. That is, by assuming a time scale separation between the slow motion along the system coordinate x and the fast fluctuations of the bath, a memory-free Langevin equation can be derived that describes the system's motion on the free energy landscape F ( 𝒙 ) , which is damped by a friction field and driven by a stochastic force that is related to the friction via the fluctuation-dissipation theorem. While the theoretical formulation of Zwanzig typically assumes a highly idealized form of the bath Hamiltonian and the system-bath coupling, one would like to extend the approach to realistic data-based biomolecular systems. Here a practical method is proposed to construct an analytically defined global model of structural dynamics. Given a molecular dynamics simulation and adequate collective coordinates, the approach employs an "empirical valence bond"-type model which is suitable to represent multidimensional free energy landscapes as well as an approximate description of the friction field. Adopting alanine dipeptide and a three-dimensional model of heptaalanine as simple examples, the resulting Langevin model is shown to reproduce the results of the underlying all-atom simulations. Because the Langevin equation can also be shown to satisfy the underlying assumptions of the theory (such as a delta-correlated Gaussian-distributed noise), the global model provides a correct, albeit empirical, realization of Zwanzig's formulation. As an application, the model can be used to investigate the dependence of the system on parameter changes and to predict the effect of site-selective mutations on the dynamics.

  13. Effects of Aerobic Exercise on Female Body Esteem: A Multidimensional Approach.

    Science.gov (United States)

    Franzoi, Stephen L.

    Although research has shown that regularly engaging in vigorous activity has both physical and mental benefits, including a more positive evaluation of one's own body, the multidimensional nature of people's body attitudes has not been considered. The Body Esteem Scale (BES) was developed to identify and assess different body esteem dimensions.…

  14. Continuous Energy, Multi-Dimensional Transport Calculations for Problem Dependent Resonance Self-Shielding

    Energy Technology Data Exchange (ETDEWEB)

    T. Downar

    2009-03-31

    The overall objective of the work here has been to eliminate the approximations used in current resonance treatments by developing continuous energy multi-dimensional transport calculations for problem dependent self-shielding calculations. The work here builds on the existing resonance treatment capabilities in the ORNL SCALE code system.

  15. The Development of a Psychometrically-Sound Instrument to Measure Teachers' Multidimensional Attitudes toward Inclusive Education

    Science.gov (United States)

    Mahat, Marian

    2008-01-01

    The "Multidimensional Attitudes toward Inclusive Education Scale" (MATIES) was developed to effectively measure affective, cognitive and behavioural aspects of attitudes, within the realm of inclusive education that includes physical, social and curricular inclusion. Models within Item Response Theory and Classical Test Theory were used…

  16. Factorial and convergent validity of nicotine dependence measures in adolescents: Toward a multidimensional approach

    NARCIS (Netherlands)

    M. Kleinjan (Marloes); R.J.J.M. van den Eijnden (Regina); J. van Leeuwe (Jan); R. Otten (Roy); J. Brug (Hans); R.C.M.E. Engels (Rutger)

    2007-01-01

    textabstractThe present study investigated the possibility of forming a multidimensional scale for the measurement of nicotine dependence among adolescents, based on the modified Fagerström Tolerance Questionnaire (mFTQ) and the Hooked on Nicotine Checklist (HONC). A survey was conducted among 33

  17. Factorial and convergent validity of nicotine dependence measures in adolescents : Towards a multidimensional approach

    NARCIS (Netherlands)

    Kleinjan, M.; Eijnden, R.J.J.M. van den; Leeuwe, J.F.J. van; Otten, R.; Brug, J.; Engels, R.C.M.E.

    2007-01-01

    The present study investigated the possibility of forming a multidimensional scale for the measurement of nicotine dependence among adolescents, based on the modified Fagerstrom Tolerance Questionnaire (mFTQ) and the Hooked on Nicotine Checklist (HONC). A survey was conducted among 33 Dutch

  18. Physical Activity Motivation in Late Adolescence: Refinement of a Recent Multidimensional Model

    Science.gov (United States)

    Martin, Andrew J.

    2010-01-01

    Recent research (Martin et al., 2006) presented a new, multidimensional approach to physical activity motivation (using the Physical Activity Motivation Scale [PAMS]) operationalized through four factors: adaptive cognition, adaptive behavior, impeding/maladaptive cognition, and maladaptive behavior. The present study extends this early research…

  19. Multidimensional Perfectionism within Gifted Suburban Adolescents: An Exploration of Typology and Comparison of Samples

    Science.gov (United States)

    Mofield, Emily L.; Parker Peters, Megan

    2015-01-01

    Researchers explored the typology of perfectionism among 153 (46% male, 54% female; 88% White, 8% African American, 5% Asian American, 4% Hispanic, 1% Other) suburban gifted adolescents and compared perfectionism scores (using the Goals and Work Habits Survey, a modification of Frost's Multidimensional Perfectionism Scale [F-MPS]) to samples of…

  20. Analysis and case study on multi-dimensional scalability of the Internet architecture

    Institute of Scientific and Technical Information of China (English)

    XU Ke; XU MingWei; LI Qi; LIN Song

    2008-01-01

    This paper presents the definition of multi-dimensional scalability of the Internet architecture, and puts forward a mathematical method to evaluate Internet scalability based on a variety of constraints. Then, the method is employed to study the Internet scalability problem in performance, scale and service scalability. Based on the examples, theoretical analysis and experimental simulation are conducted to address the scalability issue. The results show that the proposed definition and evaluation method of multi-dimensional Internet scalability can effectively evaluate the scalability of the Internet in every aspect, thus providing rational suggestions and methods for evaluation of the next generation Internet architecture.

  1. Genetic algorithms with decomposition procedures for multidimensional 0-1 knapsack problems with block angular structures.

    Science.gov (United States)

    Kato, K; Sakawa, M

    2003-01-01

    This paper presents a detailed treatment of genetic algorithms with decomposition procedures as developed for large scale multidimensional 0-1 knapsack problems with block angular structures. Through the introduction of a triple string representation and the corresponding decoding algorithm, it is shown that a potential solution satisfying not only block constraints but also coupling constraints can be obtained for each individual. Then genetic algorithms with decomposition procedures are presented as an approximate solution method for multidimensional 0-1 knapsack problems with block angular structures. Many computational experiments on numerical examples with 30, 50, 70, 100, 150, 200, 300, 500, and 1000 variables demonstrate the feasibility and efficiency of the proposed method.

  2. The reliability of multidimensional neuropsychological measures: from alpha to omega.

    Science.gov (United States)

    Watkins, Marley W

    2017-04-21

    To demonstrate that Coefficient omega, a model-based estimate, is more a more appropriate index of reliability than coefficient alpha for the multidimensional scales that are commonly employed by neuropsychologists. As an illustration, a structural model of an overarching general factor and four first-order factors for the WAIS-IV based on the standardization sample of 2200 participants was identified and omega coefficients were subsequently computed for WAIS-IV composite scores. Alpha coefficients were ≥ .90 and omega coefficients ranged from .75 to .88 for WAIS-IV factor index scores, indicating that the blend of general and group factor variance in each index score created a reliable multidimensional composite. However, the amalgam of variance from general and group factors did not allow the precision of Full Scale IQ (FSIQ) and factor index scores to be disentangled. In contrast, omega hierarchical coefficients were low for all four factor index scores (.10-.41), indicating that most of the reliable variance of each factor index score was due to the general intelligence factor. In contrast, the omega hierarchical coefficient for the FSIQ score was .84. Meaningful interpretation of WAIS-IV factor index scores as unambiguous indicators of group factors is imprecise, thereby fostering unreliable identification of neurocognitive strengths and weaknesses, whereas the WAIS-IV FSIQ score can be interpreted as a reliable measure of general intelligence. It was concluded that neuropsychologists should base their clinical decisions on reliable scores as indexed by coefficient omega.

  3. Genuinely Multidimensional Kinetic Scheme For Euler Equations

    CERN Document Server

    Tiwari, Praveer

    2015-01-01

    A new framework based on Boltzmann equation which is genuinely multidimensional and mesh-less is developed for solving Euler's equations. The idea is to use the method of moment of Boltzmann equation to operate in multidimensions using polar coordinates. The aim is to develop a framework which is genuinely multidimensional and can be implemented with different methodologies, no matter whether it is in finite difference, finite volume or finite element form. There is a considerable improvement in capturing shocks and other discontinuities. Also, since the method is multidimensional, the flow features are captured isotropically. The method is further extended to second order using 'Arc of Approach' concept. The framework is developed as a finite difference method (called as GINEUS) and is tested on the benchmark test cases. The results are compared against Kinetic Flux Vector Splitting Method.

  4. Multidimensional energy operator for image processing

    Science.gov (United States)

    Maragos, Petros; Bovik, Alan C.; Quatieri, Thomas F.

    1992-11-01

    The 1-D nonlinear differential operator (Psi) (f) equals (f')2 - ff' has been recently introduced to signal processing and has been found very useful for estimating the parameters of sinusoids and the modulating signals of AM-FM signals. It is called an energy operator because it can track the energy of an oscillator source generating a sinusoidal signal. In this paper we introduce the multidimensional extension (Phi) (f) equals (parallel)DELf(parallel)2 - fDEL2f of the 1-D energy operator and briefly outline some of its applications to image processing. We discuss some interesting properties of the multidimensional operator and develop demodulation algorithms to estimate the amplitude envelope and instantaneous frequencies of 2-D spatially-varying AM-FM signals, which can model image texture. The attractive features of the multidimensional operator and the related amplitude/frequency demodulation algorithms are their simplicity, efficiency, and ability to track instantaneously- varying spatial modulation patterns.

  5. Difference-Huffman Coding of Multidimensional Databases

    CERN Document Server

    Szépkúti, István

    2011-01-01

    A new compression method called difference-Huffman coding (DHC) is introduced in this paper. It is verified empirically that DHC results in a smaller multidimensional physical representation than those for other previously published techniques (single count header compression, logical position compression, base-offset compression and difference sequence compression). The article examines how caching influences the expected retrieval time of the multidimensional and table representations of relations. A model is proposed for this, which is then verified with empirical data. Conclusions are drawn, based on the model and the experiment, about when one physical representation outperforms another in terms of retrieval time. Over the tested range of available memory, the performance for the multidimensional representation was always much quicker than for the table representation.

  6. A Multidimensional Code For Isothermal Magnetohydrodynamic Flows

    CERN Document Server

    Kim, J; Jones, T W; Hong, S S; Kim, Jongsoo; Ryu, Dongsu

    1999-01-01

    We present a multi-dimensional numerical code to solve isothermal magnetohydrodynamic (IMHD) equations for use in modeling astrophysical flows. First, we have built a one-dimensional code which is based on an explicit finite-difference method on an Eulerian grid, called the total variation diminishing (TVD) scheme. Recipes for building the one-dimensional IMHD code, including the normalized right and left eigenvectors of the IMHD Jacobian matrix, are presented. Then, we have extended the one-dimensional code to a multi-dimensional IMHD code through a Strang-type dimensional splitting. In the multi-dimensional code, an explicit cleaning step has been included to eliminate non-zero $\

  7. Preface: Special Topic on Multidimensional Spectroscopy

    Energy Technology Data Exchange (ETDEWEB)

    Mukamel, Shaul, E-mail: smukamel@uci.edu [Department of Chemistry, University of California, Irvine, Irvine, California 92697 (United States); Bakker, Huib J. [FOM Institute for Atomic and Molecular Physics, Amsterdam 1098 XG (Netherlands)

    2015-06-07

    Multidimensional signals are generated by subjecting molecules to sequences of short optical pulses and recording correlation plots related to the various controlled delay periods. These techniques which span all the way from the THz to the x-ray regimes provide qualitatively new structural and dynamical molecular information not available from conventional one-dimensional techniques. This issue surveys the recent experimental and theoretical progresses in this rapidly developing 20 year old field which illustrates the novel insights provided by multidimensional techniques into electronic and nuclear motions. It should serve as a valuable source for experts in the field and help introduce newcomers to this exciting and challenging branch of nonlinear spectroscopy.

  8. Preface: Special Topic on Multidimensional Spectroscopy

    Science.gov (United States)

    Mukamel, Shaul; Bakker, Huib J.

    2015-06-01

    Multidimensional signals are generated by subjecting molecules to sequences of short optical pulses and recording correlation plots related to the various controlled delay periods. These techniques which span all the way from the THz to the x-ray regimes provide qualitatively new structural and dynamical molecular information not available from conventional one-dimensional techniques. This issue surveys the recent experimental and theoretical progresses in this rapidly developing 20 year old field which illustrates the novel insights provided by multidimensional techniques into electronic and nuclear motions. It should serve as a valuable source for experts in the field and help introduce newcomers to this exciting and challenging branch of nonlinear spectroscopy.

  9. Mapping Knowledge Domain on Subject Headings of Public Sentiment Research Based on Multi-dimensional Scaling%基于多维尺度分析的舆情研究主题词知识图谱

    Institute of Scientific and Technical Information of China (English)

    孙艳; 田丽梅

    2016-01-01

    为了对舆情的研究现状进行客观梳理,总结研究文献内在的联系和科学结构,文中选取近5年来中国知网收录的“中文核心期刊”和“CSSCI”相关研究文献展开研究。首先,进行前期数据准备,包括准备的步骤与方法及其相关的数学模型;然后,将相异系数矩阵输入到SPSS中进行多维尺度分析并绘制知识图谱;最后,从维度定义和空间分布特点两个方面对知识图谱进行分析。结果表明,当前舆情研究主要集中于4个方向,舆情直接相关研究是重点与热点,媒体相关的研究领域也较活跃,但一些细分的研究方向成果比较分散。%In order to conduct objective comb for the current situation of public sentiment research and summarize the intrinsic links and science structure of researched literatures,it researches on"Chinese Core Journals" and"CSSCI" relevant research literatures included in CNKI in the past five years in this paper. First,preliminary data should be prepared,comprising the steps and methods of preparation and associated mathematical model. Then,the dissimilarity coefficient matrix is input into SPSS software to carry on multi dimensional scaling and draw mapping knowledge domain. Finally,mapping knowledge domain must be analyzed from two aspects of dimension definition and spatial distribution. The results show that the current public sentiment research has focused on four directions,and direct relevant re-search of public sentiment is the focus and hotspot,and media-related field of study is more active,but some results of research direction of segmentation are more dispersed.

  10. Frost多维完美主义量表在740名本科生中的试用%The Test of the Chinese Version of Frost Multi-dimensional Perfectionism Scale

    Institute of Scientific and Technical Information of China (English)

    杨宏飞

    2007-01-01

    目的: 建立Frost多维完美主义量表(Frost Mutidimensional Perfectionism Scale,FMPS)中文版,并测试其信效度. 方法: 740名本科生完成了FMPS,进行探索性和验证性因素分析,计算量表的内部一致性信度、分半信度和重测信度、总分与各因子间的相关系数. 结果: FMPS中文版父母期望因子在二阶因子分析时被删除,验证性因素分析指标χ2、RMSEA、NFI、NNFI、CFI分别为2722.26(P=0.000)、0.074、0.86、0.87、0.88.总量表和分量表的α系数都在0.60以上,间隔4周的重测信度为0.77.FMPS与SCL-90的总体相关均有统计学意义,其中不健康完美主义与SCL-90各因子均呈正相关(r=0.271~0.395,P<0.01),健康完美主义与SCL-90相关不显著;FMPS与IPIP-P呈正相关(r=0.257~0.554,P<0.01),与道家倾向呈负相关(r=-0.239~0.474,P<0.01);不健康完美主义与意识性呈负相关,健康完美主义与意识性呈正相关(r=0.505,P<0.01);不健康完美主义与自尊和生活满意度呈负相关. 结论: FMPS适合于团体评价,其中父母期望因子不适合用来测量中国被试的完美主义.

  11. Quantum and Multidimensional Explanations in a Neurobiological Context of Mind

    NARCIS (Netherlands)

    Korf, Jakob

    2015-01-01

    This article examines the possible relevance of physical-mathematical multidimensional or quantum concepts aiming at understanding the (human) mind in a neurobiological context. Some typical features of the quantum and multidimensional concepts are briefly introduced, including entanglement, superpo

  12. Application of multidimensional item response theory models to longitudinal data

    NARCIS (Netherlands)

    Marvelde, te Janneke M.; Glas, Cees A.W.; Van Landeghem, Georges; Van Damme, Jan

    2006-01-01

    The application of multidimensional item response theory (IRT) models to longitudinal educational surveys where students are repeatedly measured is discussed and exemplified. A marginal maximum likelihood (MML) method to estimate the parameters of a multidimensional generalized partial credit model

  13. The emergence and evolution of the multidimensional organization

    NARCIS (Netherlands)

    Strikwerda, J.; Stoelhorst, J.W.

    2009-01-01

    The article discusses multidimensional organizations and the evolution of complex organizations. The six characteristics of multidimensional organizations, disadvantages of the successful organizational structure that is categorized as a multidivisional, multi-unit or M-form, research by the

  14. The emergence and evolution of the multidimensional organization

    NARCIS (Netherlands)

    Strikwerda, J.; Stoelhorst, J.W.

    2009-01-01

    The article discusses multidimensional organizations and the evolution of complex organizations. The six characteristics of multidimensional organizations, disadvantages of the successful organizational structure that is categorized as a multidivisional, multi-unit or M-form, research by the Foundat

  15. Multidimensional Scaling Linear Regression Applied to FTIR Spectral Quantitative Analysis of Clinical Parameters of Human Blood Serum%多维标度线性回归技术应用于人体血清临床指标的FTIR光谱定量分析

    Institute of Scientific and Technical Information of China (English)

    陈华舟; 宋奇庆; 石凯; 贾贞

    2015-01-01

    人体血清临床指标是衡量人体健康和亚健康水平的重要因素之一,采用傅里叶红外(FTIR)光谱技术实现人体血清临床指标的多成分快速同时检测。提出利用多维标度法(MDS)对光谱变量进行降维,结合多元线性回归(MLR)技术,建立多维标度线性回归(MDS‐MLR)模型,为血清四种临床生化指标(葡萄糖、低密度脂蛋白胆固醇、甘油三酯、尿素)的定量分析优选光谱信息波长点,优化定标预测模型,结合移动平均法(MA)进行光谱预处理,得到良好的建模效果。通过检验集样品进行验证,检验相关系数均在0.9以上。结果表明,MDS‐MLR方法具有人体血清临床指标FTIR光谱分析的应用潜力。FTIR技术结合MDS‐MLR定量分析方法可以实现对人体健康和亚健康水平的快速评定。%In the present paper it was proposed to establish multidimensional scaling linear regression (MDS‐MLR) models by combining multidimensional scaling (MDS) with multiple linear regression (MLR) ,in which MDS owns the ability of dimen‐sionality reduction on spectral variables .Thus the informative spectral wavelengths can be selected for each of the 4 clinical pa‐rameters (i .e .glucose ,LDL cholesterol ,triglycerides and urea) by MDS‐MLR method ,and the effect of spectral colinearity can be restrained ,so that the calibration models can be optimized .Experiments showed that the MDS‐MLR models will allow to pro‐duce appreciated modeling results when combined with the preprocessing method of moving average (MA) .The optimized mod‐els were verified by the samples in validation set ,and the validating correlation coefficients for each clinical parameter were all upper than 0.9 .These results indicated that FTIR predicted values and the biochemical values of each clinical parameter were highly correlated ,which demonstrated that MDS‐MLR method has the potential of being applied to the

  16. A Multidimensional Construct of Self-Esteem

    Science.gov (United States)

    Norem-Hebeisen, Ardyth A.

    1976-01-01

    Evidence for construct validity of this multi-dimensional concept of self esteem includes the relative congruence of the factor structure with the theoretical construct, the stability of the structure when subjected to a series of empirical tests, increasingly positive self-referent responses with increasing age, willingness to become more…

  17. Alternative weighting structures for multidimensional poverty assessment

    NARCIS (Netherlands)

    Cavapozzi, Danilo; Han, Wei; Miniaci, Raffaele

    2013-01-01

    A multidimensional poverty assessment requires a weighting scheme to aggregate the well-being dimensions considered. We use Alkire and Foster’s (2011a) framework to discuss the channels through which a change of the weighting structure affects the outcomes of the analysis in terms of overall poverty

  18. Multidimensional human dynamics in mobile phone communications.

    Science.gov (United States)

    Quadri, Christian; Zignani, Matteo; Capra, Lorenzo; Gaito, Sabrina; Rossi, Gian Paolo

    2014-01-01

    In today's technology-assisted society, social interactions may be expressed through a variety of techno-communication channels, including online social networks, email and mobile phones (calls, text messages). Consequently, a clear grasp of human behavior through the diverse communication media is considered a key factor in understanding the formation of the today's information society. So far, all previous research on user communication behavior has focused on a sole communication activity. In this paper we move forward another step on this research path by performing a multidimensional study of human sociality as an expression of the use of mobile phones. The paper focuses on user temporal communication behavior in the interplay between the two complementary communication media, text messages and phone calls, that represent the bi-dimensional scenario of analysis. Our study provides a theoretical framework for analyzing multidimensional bursts as the most general burst category, that includes one-dimensional bursts as the simplest case, and offers empirical evidence of their nature by following the combined phone call/text message communication patterns of approximately one million people over three-month period. This quantitative approach enables the design of a generative model rooted in the three most significant features of the multidimensional burst - the number of dimensions, prevalence and interleaving degree - able to reproduce the main media usage attitude. The other findings of the paper include a novel multidimensional burst detection algorithm and an insight analysis of the human media selection process.

  19. Numerical methods in multidimensional radiative transfer

    CERN Document Server

    Meinköhn, Erik

    2008-01-01

    Offers an overview of the numerical modelling of radiation fields in multidimensional geometries. This book covers advances and problems in the mathematical treatment of the radiative transfer equation, a partial integro-differential equation of high dimension that describes the propagation of the radiation in various fields.

  20. Multidimensional human dynamics in mobile phone communications.

    Directory of Open Access Journals (Sweden)

    Christian Quadri

    Full Text Available In today's technology-assisted society, social interactions may be expressed through a variety of techno-communication channels, including online social networks, email and mobile phones (calls, text messages. Consequently, a clear grasp of human behavior through the diverse communication media is considered a key factor in understanding the formation of the today's information society. So far, all previous research on user communication behavior has focused on a sole communication activity. In this paper we move forward another step on this research path by performing a multidimensional study of human sociality as an expression of the use of mobile phones. The paper focuses on user temporal communication behavior in the interplay between the two complementary communication media, text messages and phone calls, that represent the bi-dimensional scenario of analysis. Our study provides a theoretical framework for analyzing multidimensional bursts as the most general burst category, that includes one-dimensional bursts as the simplest case, and offers empirical evidence of their nature by following the combined phone call/text message communication patterns of approximately one million people over three-month period. This quantitative approach enables the design of a generative model rooted in the three most significant features of the multidimensional burst - the number of dimensions, prevalence and interleaving degree - able to reproduce the main media usage attitude. The other findings of the paper include a novel multidimensional burst detection algorithm and an insight analysis of the human media selection process.

  1. Non-commutative multi-dimensional cosmology

    CERN Document Server

    Khosravi, N; Sepangi, H R

    2006-01-01

    A non-commutative multi-dimensional cosmological model is introduced and used to address the issues of compactification and stabilization of extra dimensions and the cosmological constant problem. We show that in such a scenario these problems find natural solutions in a universe described by an increasing time parameter.

  2. Passive seismic interferometry by multidimensional deconvolution

    NARCIS (Netherlands)

    Wapenaar, C.P.A.; Van der Neut, J.R.; Ruigrok, E.N.

    2008-01-01

    We introduce seismic interferometry of passive data by multidimensional deconvolution (MDD) as an alternative to the crosscorrelation method. Interferometry by MDD has the potential to correct for the effects of source irregularity, assuming the first arrival can be separated from the full response.

  3. Optimal online bounded space multidimensional packing

    NARCIS (Netherlands)

    L. Epstein (Lea); R. van Stee (Rob)

    2003-01-01

    textabstractWe solve an open problem in the literature by providing an online algorithm for multidimensional bin packing that uses only bounded space. We show that it is optimal among bounded space algorithms for any dimension $d>1$. Its asymptotic performance ratio is $(Pi_{infty})^d$, where

  4. New bounds for multi-dimensional packing

    NARCIS (Netherlands)

    S. Seiden; R. van Stee (Rob)

    2001-01-01

    textabstractNew upper and lower bounds are presented for a multi-dimensional generalization of bin packing called box packing. Several variants of this problem, including bounded space box packing, square packing, variable sized box packing and resource augmented box packing are also studied. The

  5. Multidimensional IRT Models for Composite Scores

    Science.gov (United States)

    Yen, Shu Jing; Walker, Leah

    2007-01-01

    Tests of English Language Proficiency are often designed such that each section of the test measures a single latent ability. For instance an English Proficiency Assessment might consist of sections measuring Speaking, Listening, and Reading ability. However, Overall English Proficiency and composite abilities are naturally multidimensional. This…

  6. Accelerating multidimensional cosmologies with scalar fields

    CERN Document Server

    Victor, B

    2004-01-01

    We study multidimensional cosmological models with a higher-dimensional product manifold, that consists of spherical and flat spaces, in the presence of a minimal free scalar field. Dynamical behaviour of the model is analyzed both in Einstein and Brans-Dicke conformal frames. For a number of particular cases, it is shown that external space-time undergoes an accelerated expansion

  7. Unidimensional Interpretations for Multidimensional Test Items

    Science.gov (United States)

    Kahraman, Nilufer

    2013-01-01

    This article considers potential problems that can arise in estimating a unidimensional item response theory (IRT) model when some test items are multidimensional (i.e., show a complex factorial structure). More specifically, this study examines (1) the consequences of model misfit on IRT item parameter estimates due to unintended minor item-level…

  8. Multidimensional wave field signal theory: Mathematical foundations

    Directory of Open Access Journals (Sweden)

    Natalie Baddour

    2011-06-01

    Full Text Available Many important physical phenomena are described by wave or diffusion-wave type equations. Since these equations are linear, it would be useful to be able to use tools from the theory of linear signals and systems in solving related forward or inverse problems. In particular, the transform domain signal description from linear system theory has shown concrete promise for the solution of problems that are governed by a multidimensional wave field. The aim is to develop a unified framework for the description of wavefields via multidimensional signals. However, certain preliminary mathematical results are crucial for the development of this framework. This first paper on this topic thus introduces the mathematical foundations and proves some important mathematical results. The foundation of the framework starts with the inhomogeneous Helmholtz or pseudo-Helmholtz equation, which is the mathematical basis of a large class of wavefields. Application of the appropriate multi-dimensional Fourier transform leads to a transfer function description. To return to the physical spatial domain, certain mathematical results are necessary and these are presented and proved here as six fundamental theorems. These theorems are crucial for the evaluation of a certain class of improper integrals which arise in the evaluation of inverse multi-dimensional Fourier and Hankel transforms, upon which the framework is based. Subsequently, applications of these theorems are demonstrated, in particular for the derivation of Green's functions in different coordinate systems.

  9. New bounds for multi-dimensional packing

    NARCIS (Netherlands)

    Seiden, S.; Stee, R. van

    2001-01-01

    New upper and lower bounds are presented for a multi-dimensional generalization of bin packing called box packing. Several variants of this problem, including bounded space box packing, square packing, variable sized box packing and resource augmented box packing are also studied. The main results,

  10. Multidimensional Treatment of Fear of Death.

    Science.gov (United States)

    Hoelter, Jon W.

    1979-01-01

    Presents a multidimensional conception of fear of death and provides subscales for measuring suggested dimensions (fear of the dying process, of the dead, of being destroyed, for significant others, of the unknown, of conscious death, for body after death, and of premature death). Evidence for construct validity is provided. (Author/BEF)

  11. Multidimensional perfectionism and narcissism: Grandiose or vulnerable?

    OpenAIRE

    Stoeber, Joachim; Sherry, Simon B.; Logan J Nealis

    2015-01-01

    Multidimensional perfectionism is related to grandiose narcissism, with other-oriented perfectionism showing the strongest, most consistent relationships. The relationships with vulnerable narcissism, however, are unclear. Our study investigated how three forms of perfectionism--self-oriented, other-oriented, and socially prescribed perfectionism (Hewitt & Flett, 1991)--are related to narcissistic grandiosity and vulnerability. A sample of 375 university students completed the Narcissistic Pe...

  12. Multi-dimensional indoor location information model

    NARCIS (Netherlands)

    Xiong, Q.; Zhu, Q.; Zlatanova, S.; Huang, L.; Zhou, Y.; Du, Z.

    2013-01-01

    Aiming at the increasing requirements of seamless indoor and outdoor navigation and location service, a Chinese standard of Multidimensional Indoor Location Information Model is being developed, which defines ontology of indoor location. The model is complementary to 3D concepts like CityGML and

  13. Multilevel Architecture for Multidimensional Data Base

    OpenAIRE

    Salahli, M.

    2003-01-01

    A Multidimensional Data Base is an essential element of decision support, which allows to process complex queries. In this paper, a multilevel distributed Data Model for MDDB is presented. Metadata for MDDB on relations is introduced. To improve efficiency of query processing, fuzzy cache fact table is proposed.

  14. Multi-dimensional quasitoeplitz Markov chains

    Directory of Open Access Journals (Sweden)

    Alexander N. Dudin

    1999-01-01

    Full Text Available This paper deals with multi-dimensional quasitoeplitz Markov chains. We establish a sufficient equilibrium condition and derive a functional matrix equation for the corresponding vector-generating function, whose solution is given algorithmically. The results are demonstrated in the form of examples and applications in queues with BMAP-input, which operate in synchronous random environment.

  15. Visualizing multidimensional data similarities : Improvements and applications

    NARCIS (Netherlands)

    Rodrigues Oliveira da Silva, Renato

    2016-01-01

    Multidimensional data is increasingly more prominent and important in many application domains. Such data typically consist of a large set of elements, each of which described by several measurements (dimensions). During the design of techniques and tools to process this data, a key component is to

  16. Unidimensional Interpretations for Multidimensional Test Items

    Science.gov (United States)

    Kahraman, Nilufer

    2013-01-01

    This article considers potential problems that can arise in estimating a unidimensional item response theory (IRT) model when some test items are multidimensional (i.e., show a complex factorial structure). More specifically, this study examines (1) the consequences of model misfit on IRT item parameter estimates due to unintended minor item-level…

  17. Alternative weighting structures for multidimensional poverty assessment

    NARCIS (Netherlands)

    Cavapozzi, Danilo; Han, Wei; Miniaci, Raffaele

    2013-01-01

    A multidimensional poverty assessment requires a weighting scheme to aggregate the well-being dimensions considered. We use Alkire and Foster’s (2011a) framework to discuss the channels through which a change of the weighting structure affects the outcomes of the analysis in terms of overall poverty

  18. Reliability of the Multidimensional Pain Inventory and stability of the MPI classification system in chronic back pain

    Directory of Open Access Journals (Sweden)

    Verra Martin L

    2012-08-01

    Full Text Available Abstract Background This cross validation study examined the reliability of the Multidimensional Pain Inventory (MPI and the stability of the Multidimensional Pain Inventory Classification System of the empirically derived subgroup classification obtained by cluster analysis in chronic musculoskeletal pain. Reliability of the German Multidimensional Pain Inventory was only examined once in the past in a small sample. Previous international studies mainly involving fibromyalgia patients showed that retest resulted in 33–38% of patients being assigned to a different Multidimensional Pain Inventory subgroup classification. Methods Participants were 204 persons with chronic musculoskeletal pain (82% chronic non-specific back pain. Subgroup classification was conducted by cluster analysis at 4 weeks before entry (=test and at entry into the pain management program (=retest using Multidimensional Pain Inventory scale scores. No therapeutic interventions in this period were conducted. Reliability was quantified by intraclass correlation coefficients (ICC and stability by kappa coefficients (κ. Results Reliability of the Multidimensional Pain Inventory scales was least with ICC = 0.57 for the scale life control and further ranged from ICC = 0.72 (negative mood to 0.87 (solicitous responses in the other scales. At retest, 82% of the patients in the Multidimensional Pain Inventory cluster interpersonally distressed (κ = 0.69, 80% of the adaptive copers (κ = 0.58, and 75% of the dysfunctional patients (κ = 0.70 did not change classification. In total, 22% of the patients changed Multidimensional Pain Inventory cluster group, mainly into the adaptive copers subgroup. Conclusion Test-retest reliability of the German Multidimensional Pain Inventory was moderate to good and comparable to other language versions. Multidimensional Pain Inventory subgroup classification is substantially stable in chronic back pain patients when compared

  19. Un modelo multidimensional conceptual espacio-temporal A conceptual spatio-temporal multidimensional model

    Directory of Open Access Journals (Sweden)

    Francisco Moreno

    2010-07-01

    Full Text Available Hoy, gracias a los sistemas de posicionamiento global y dispositivos móviles equipados con sensores de rastreo, se puede recopilar una gran cantidad de datos sobre objetos móviles, es decir, datos espacio-temporales relacionados con el movimiento seguido por esos objetos. Por otro lado, las bodegas de datos, usualmente modeladas mediante una vista multidimensional de los datos, son bases de datos especializadas para soportar la toma de decisiones. Desafortunadamente, las bodegas de datos convencionales están principalmente orientadas al manejo de datos alfanuméricos. En este artículo, se incorporan elementos temporales a un modelo multidimensional conceptual espacial dando origen a un modelo multidimensional conceptual espacio-temporal. La propuesta se ilustra con un caso de estudio relacionado con la migración de animalesToday, thanks to global positioning systems technologies and mobile devices equipped with tracking sensors, and a lot of data about moving objects can be collected, e.g., spatio-temporal data related to the movement followed by objects. On the other hand, data warehouses, usually modeled using a multidimensional view of data, are specialized databases to support the decision-making process. Unfortunately, conventional data warehouses are mainly oriented to manage alphanumeric data. In this article, we incorporate temporal elements to a conceptual spatial multidimensional model resulting in a spatio-temporal multidimensional model. We illustrate our proposal with a case study related to animal migration.

  20. On the monotonicity of multidimensional finite difference schemes

    Science.gov (United States)

    Kovyrkina, O.; Ostapenko, V.

    2016-10-01

    The classical concept of monotonicity, introduced by Godunov for linear one-dimensional difference schemes, is extended to multidimensional case. Necessary and sufficient conditions of monotonicity are obtained for linear multidimensional difference schemes of first order. The constraints on the numerical viscosity are given that ensure the monotonicity of a difference scheme in the multidimensional case. It is proposed a modification of the second order multidimensional CABARET scheme that preserves the monotonicity of one-dimensional discrete solutions and, as a result, ensures higher smoothness in the computation of multidimensional discontinuous solutions. The results of two-dimensional test computations illustrating the advantages of the modified CABARET scheme are presented.

  1. Estimating Cognitive Profiles Using Profile Analysis via Multidimensional Scaling (PAMS)

    Science.gov (United States)

    Kim, Se-Kang; Frisby, Craig L.; Davison, Mark L.

    2004-01-01

    Two of the most popular methods of profile analysis, cluster analysis and modal profile analysis, have limitations. First, neither technique is adequate when the sample size is large. Second, neither method will necessarily provide profile information in terms of both level and pattern. A new method of profile analysis, called Profile Analysis via…

  2. A Multidimensional Scaling of College Students' Perceptions of Academic Dishonesty

    Science.gov (United States)

    Schmelkin, Liora Pedhazur; Gilbert, Kim; Spencer, Karin J.; Pincus, Holly S.; Silva, Rebecca

    2008-01-01

    Academic dishonesty rates have remained alarmingly high. Various causes and correlates of academic dishonesty have been explored, including such factors as situational and environmental contributors as well as individual differences. Due to the high level of ambiguity inherent in the definition of academic dishonesty, it becomes important to…

  3. A Multidimensional Scaling of College Students' Perceptions of Academic Dishonesty

    Science.gov (United States)

    Schmelkin, Liora Pedhazur; Gilbert, Kim; Spencer, Karin J.; Pincus, Holly S.; Silva, Rebecca

    2008-01-01

    Academic dishonesty rates have remained alarmingly high. Various causes and correlates of academic dishonesty have been explored, including such factors as situational and environmental contributors as well as individual differences. Due to the high level of ambiguity inherent in the definition of academic dishonesty, it becomes important to…

  4. multidimensional health locus of control scales: applicability among ...

    African Journals Online (AJOL)

    2002-03-03

    Mar 3, 2002 ... contradictory evidence has gradually accumulated. Although studies of Brazilian ... been performed with adult populations in occidental settings, its ... from the capital city of Accra. The study ..... Psychology and Ageing. 1992 ...

  5. Development of realistic thermal-hydraulic system analysis codes ; development of thermal hydraulic test requirements for multidimensional flow modeling

    Energy Technology Data Exchange (ETDEWEB)

    Suh, Kune Yull; Yoon, Sang Hyuk; Noh, Sang Woo; Lee, Il Suk [Seoul National University, Seoul (Korea)

    2002-03-01

    This study is concerned with developing a multidimensional flow model required for the system analysis code MARS to more mechanistically simulate a variety of thermal hydraulic phenomena in the nuclear stem supply system. The capability of the MARS code as a thermal hydraulic analysis tool for optimized system design can be expanded by improving the current calculational methods and adding new models. In this study the relevant literature was surveyed on the multidimensional flow models that may potentially be applied to the multidimensional analysis code. Research items were critically reviewed and suggested to better predict the multidimensional thermal hydraulic behavior and to identify test requirements. A small-scale preliminary test was performed in the downcomer formed by two vertical plates to analyze multidimensional flow pattern in a simple geometry. The experimental result may be applied to the code for analysis of the fluid impingement to the reactor downcomer wall. Also, data were collected to find out the controlling parameters for the one-dimensional and multidimensional flow behavior. 22 refs., 40 figs., 7 tabs. (Author)

  6. Multi-dimensional optical storage

    CERN Document Server

    Xu, Duanyi

    2016-01-01

    This book presents principles and applications to expand the storage space from 2-D to 3-D and even multi-D, including gray scale, color (light with different wavelength), polarization and coherence of light. These actualize the improvements of density, capacity and data transfer rate for optical data storage. Moreover, the applied implementation technologies to make mass data storage devices are described systematically. Some new mediums, which have linear absorption characteristics for different wavelength and intensity to light with high sensitivity, are introduced for multi-wavelength and multi-level optical storage. This book can serve as a useful reference for researchers, engineers, graduate and undergraduate students in material science, information science and optics. .

  7. Reinforcement learning in multidimensional environments relies on attention mechanisms.

    Science.gov (United States)

    Niv, Yael; Daniel, Reka; Geana, Andra; Gershman, Samuel J; Leong, Yuan Chang; Radulescu, Angela; Wilson, Robert C

    2015-05-27

    In recent years, ideas from the computational field of reinforcement learning have revolutionized the study of learning in the brain, famously providing new, precise theories of how dopamine affects learning in the basal ganglia. However, reinforcement learning algorithms are notorious for not scaling well to multidimensional environments, as is required for real-world learning. We hypothesized that the brain naturally reduces the dimensionality of real-world problems to only those dimensions that are relevant to predicting reward, and conducted an experiment to assess by what algorithms and with what neural mechanisms this "representation learning" process is realized in humans. Our results suggest that a bilateral attentional control network comprising the intraparietal sulcus, precuneus, and dorsolateral prefrontal cortex is involved in selecting what dimensions are relevant to the task at hand, effectively updating the task representation through trial and error. In this way, cortical attention mechanisms interact with learning in the basal ganglia to solve the "curse of dimensionality" in reinforcement learning.

  8. Multi-Dimensional Aggregation for Temporal Data

    DEFF Research Database (Denmark)

    Böhlen, M. H.; Gamper, J.; Jensen, Christian Søndergaard

    2006-01-01

    when the data hold. In temporal databases, intervals typically capture the states of reality that the data apply to, or capture when the data are, or were, part of the current database state. This paper proposes a new aggregation operator that addresses several challenges posed by interval data. First......Business Intelligence solutions, encompassing technologies such as multi-dimensional data modeling and aggregate query processing, are being applied increasingly to non-traditional data. This paper extends multi-dimensional aggregation to apply to data with associated interval values that capture......, the intervals to be associated with the result tuples may not be known in advance, but depend on the actual data. Such unknown intervals are accommodated by allowing result groups that are specified only partially. Second, the operator contends with the case where an interval associated with data expresses...

  9. Multidimensional entropy landscape of quantum criticality

    Science.gov (United States)

    Grube, K.; Zaum, S.; Stockert, O.; Si, Q.; Löhneysen, H. V.

    2017-08-01

    The third law of thermodynamics states that the entropy of any system in equilibrium has to vanish at absolute zero temperature. At nonzero temperatures, on the other hand, matter is expected to accumulate entropy near a quantum critical point, where it undergoes a continuous transition from one ground state to another. Here, we determine, based on general thermodynamic principles, the spatial-dimensional profile of the entropy S near a quantum critical point and its steepest descent in the corresponding multidimensional stress space. We demonstrate this approach for the canonical quantum critical compound CeCu 6-xAux near its onset of antiferromagnetic order. We are able to link the directional stress dependence of S to the previously determined geometry of quantum critical fluctuations. Our demonstration of the multidimensional entropy landscape provides the foundation to understand how quantum criticality nucleates novel phases such as high-temperature superconductivity.

  10. Multidimensional integral representations problems of analytic continuation

    CERN Document Server

    Kytmanov, Alexander M

    2015-01-01

    The monograph is devoted to integral representations for holomorphic functions in several complex variables, such as Bochner-Martinelli, Cauchy-Fantappiè, Koppelman, multidimensional logarithmic residue etc., and their boundary properties. The applications considered are problems of analytic continuation of functions from the boundary of a bounded domain in C^n. In contrast to the well-known Hartogs-Bochner theorem, this book investigates functions with the one-dimensional property of holomorphic extension along complex lines, and includes the problems of receiving multidimensional boundary analogs of the Morera theorem.   This book is a valuable resource for specialists in complex analysis, theoretical physics, as well as graduate and postgraduate students with an understanding of standard university courses in complex, real and functional analysis, as well as algebra and geometry.

  11. Computer Simulations on a Multidimensional Continuum:

    DEFF Research Database (Denmark)

    Girault, Isabelle; Pfeffer, Melanie; Chiocarriello, Augusto

    2016-01-01

    Computer simulations exist on a multidimensional continuum with other educational technologies including static animations, serious games, and virtual worlds. The act of defining simulations is context dependent. In our context of science education, we define simulations as algorithmic, dynamic...... with emphasis on simulations’ algorithmic, dynamic, and simple features. Defined as models, simulations can be computational or conceptual in nature and may reflect hypothetical or real events; such distinctions are addressed. Examples of programs that demonstrate the features of simulations emphasized in our...

  12. Cuba - a library for multidimensional numerical integration

    CERN Document Server

    Hahn, T

    2004-01-01

    The Cuba library provides new implementations of four general-purpose multidimensional integration algorithms: Vegas, Suave, Divonne, and Cuhre. Suave is a new algorithm, Divonne is a known algorithm to which important details have been added, and Vegas and Cuhre are new implementations of existing algorithms with only few improvements over the original versions. All four algorithms can integrate vector integrands and have very similar Fortran, C/C++, and Mathematica interfaces.

  13. New bounds for multi-dimensional packing

    OpenAIRE

    Seiden, S.; Stee, van, Rob

    2001-01-01

    New upper and lower bounds are presented for a multi-dimensional generalization of bin packing called box packing. Several variants of this problem, including bounded space box packing, square packing, variable sized box packing and resource augmented box packing are also studied. The main results, stated for d=2, are as follows: A new upper bound of 2.66013 for online box packing, a new $14/9 + varepsilon$ polynomial time offline approximation algorithm for square packing, a new upper bound ...

  14. Elements Of Theory Of Multidimensional Complex Variables

    Science.gov (United States)

    Martin, E. Dale

    1993-01-01

    Two reports describe elements of theory of multidimensional complex variables, with emphasis on three dimensions. First report introduces general theory. Second, presents further developments in theory of analytic functions of single three-dimensional variable and applies theory to representation of ideal flows. Results of preliminary studies suggest analytic functions of new three-dimensional complex variables useful in numerous applications, including representing of three-dimensional flows and potentials.

  15. Mining Sequential Patterns In Multidimensional Data

    OpenAIRE

    Plantevit, Marc

    2008-01-01

    Sequential pattern mining is a key technique of data mining with broad applications (user behavior analysis, bioinformatic, security, music, etc.). Sequential pattern mining aims at discovering correlations among events through time. There exist many algorithms to discover such patterns. However, these approaches only take one dimension into account (e.g. product dimension in customer market basket problem analysis) whereas data are multidimensional in nature. In this thesis, we define multid...

  16. Geometrical model of multidimensional orbital motion

    Energy Technology Data Exchange (ETDEWEB)

    Jacak, D [Institute of Mathematics and Computer Science, Wroclaw University of Technology, Wybrzeze Wyspianskiego 27, 50-370 Wroclaw (Poland)], E-mail: dorota.jacak@pwr.wroc.pl

    2008-05-15

    We consider a geometrical n-dimensional model of orbital-type rotation, for n{>=}4. The vectors generating this process are defined and the Fibonacci sequence is found in representation of their lengths. Within the dimension analysis of Planck units, we consider an example of the multidimensional whirl and define a sequence of formal fields. Special attention is paid to the three subsequent elements of this sequence, called here magnetic, electric and energy fields, which allow for some physical interpretations.

  17. Advanced Multidimensional Separations in Mass Spectrometry: Navigating the Big Data Deluge

    Science.gov (United States)

    May, Jody C.; McLean, John A.

    2016-06-01

    Hybrid analytical instrumentation constructed around mass spectrometry (MS) is becoming the preferred technique for addressing many grand challenges in science and medicine. From the omics sciences to drug discovery and synthetic biology, multidimensional separations based on MS provide the high peak capacity and high measurement throughput necessary to obtain large-scale measurements used to infer systems-level information. In this article, we describe multidimensional MS configurations as technologies that are big data drivers and review some new and emerging strategies for mining information from large-scale datasets. We discuss the information content that can be obtained from individual dimensions, as well as the unique information that can be derived by comparing different levels of data. Finally, we summarize some emerging data visualization strategies that seek to make highly dimensional datasets both accessible and comprehensible.

  18. Applying XML for designing and interchanging information for multidimensional model

    Institute of Scientific and Technical Information of China (English)

    Lu Changhui; Deng Su; Zhang Weiming

    2005-01-01

    In order to exchange and share information among the conceptual models of data warehouse, and to build a solid base for the integration and share of metadata, a new multidimensional concept model is presented based on XML and its DTD is defined, which can perfectly describe various semantic characteristics of multidimensional conceptual model. According to the multidimensional conceptual modeling technique which is based on UML, the mapping algorithm between the multidimensional conceptual model is described based on XML and UML class diagram, and an application base for the wide use of this technique is given.

  19. Universally Typical Sets for Ergodic Sources of Multidimensional Data

    CERN Document Server

    Krüger, Tyll; Seiler, Ruedi; Siegmund-Schultze, Rainer

    2011-01-01

    We lift important results of the theory of samples of discrete ergodic information sources to the multidimensional setting. We use the technique of packings and coverings with multidimensional windows in entropy estimation and universal lossless compression. In particular, we construct sequences of multidimensional array sets which, in the limit, build the generated samples of any ergodic source of entropy rate below an $h_{0}$ with probability 1 and whose cardinality grows at most at exponential rate $h_{0}$. Thereby we extrapolate mathematical framework relevant for universal source coding of multi-dimensionally correlated data.

  20. Confirming the Multidimensionality of Psychologically Controlling Parenting among Chinese-American Mothers: Love Withdrawal, Guilt Induction, and Shaming

    Science.gov (United States)

    Yu, Jing; Cheah, Charissa S. L.; Hart, Craig H.; Sun, Shuyan; Olsen, Joseph A.

    2015-01-01

    Despite the theoretical conceptualization of parental psychological control as a multidimensional construct, the majority of previous studies have examined psychological control as a unidimensional scale. Moreover, the conceptualization of shaming and its associations with love withdrawal and guilt induction are unclear. The current study aimed to…

  1. Prediction of Multidimensional Fatigue After Childhood Brain Injury.

    Science.gov (United States)

    Crichton, Alison J; Babl, Franz; Oakley, Ed; Greenham, Mardee; Hearps, Stephen; Delzoppo, Carmel; Hutchison, Jamie; Beauchamp, Miriam; Anderson, Vicki A

    To determine (1) the presence of fatigue symptoms and predictors of fatigue after childhood brain injury and examine (2) the feasibility, reliability, and validity of a multidimensional fatigue measure (PedsQL Multidimensional Fatigue Scale [MFS]) obtained from parent and child perspectives. Emergency and intensive care units of a hospital in Melbourne, Australia. Thirty-five families (34 parent-proxies and 32 children) aged 8 to 18 years (mean child age = 13.29 years) with traumatic brain injury (TBI) of all severities (27 mild, 5 moderate, and 3 severe) admitted to the Royal Children's Hospital. Longitudinal prospective study. Fatigue data collected at 6-week follow-up (mean = 6.9 weeks). Postinjury child- and parent-rated fatigue (PedsQL MFS), mood, sleep, and pain based on questionnaire report: TBI severity (mild vs moderate/severe TBI). A score greater than 2 standard deviations below healthy control data indicated the presence of abnormal fatigue, rates of which were higher compared with normative data for both parent and child reports (47% and 29%). Fatigue was predicted by postinjury depression and sleep disturbance for parent, but not child ratings. Fatigue, as rated by children, was not significantly predicted by TBI severity or other symptoms. The PedsQL MFS demonstrated acceptable measurement properties in child TBI participants, evidenced by good feasibility and reliability (Cronbach α values >0.90). Interrater reliability between parent and child reports was poor to moderate. Results underscore the need to assess fatigue and associated sleep-wake disturbance and depression after child TBI from both parent and child perspectives.

  2. Construct continuity in the presence of multidimensionality

    Science.gov (United States)

    Staniewska, Dorota

    Unidimensionality -- a condition, under which only one dominant construct is being measured by the test, is a fundamental assumption of most modern day psychometric models. However, some tests are multidimensional by design. A test, for instance, might measure physics, biology and chemistry subscales combined to measure a "general science" composite. The relative magnitudes of those subscales sometimes shift from administration to administration, which results in an altered composite. This study examined the conditions under which two different forms of a multidimensional test measure the same composite construct to a degree that allows them to be equated, i.e. used interchangeably. IRT true-score equating was used in a simulation study to assess the closeness of the scores on the forms. Conditions examined included the correlations between subscales, varying number of items per subscale form to form, and different subpopulation ability estimates on the subscales. Differences in the equating errors due to generating model (1PL or 3PL) were also examined. A way of calculating a unidimensional composite from a two-dimensional ability was devised and compared to the unidimensional composite obtained from Parscale. It was found that in general, the errors increase with decreasing correlation between traits and increased divergence of the two forms to be equated, with the later being the main predictor of the equating errors. However, the magnitude of those errors was small for the population as a whole especially when all examinee abilities are drawn from the same distribution. It was concluded that IRT true score equating is relatively robust to multidimensionality for the conditions examined, especially if the overall population score is desired. However, when accurate estimate of the equated score for individuals at the extremes of the population is needed, or whenever population abilities are drawn from more than one distribution, the unidimensional true score

  3. Multidimensional modelling of classical pulsating stars

    CERN Document Server

    Muthsam, Herbert J

    2016-01-01

    After an overview of general aspects of modelling the pulsation- convection interaction we present reasons why such simulations (in multidimensions) are needed but, at the same time, pose a considerable challenge. We then discuss, for several topics, what insights multidimensional simulations have either already provided or can be expected to yield in the future. We finally discuss properties of our ANTARES code. Many of these features can be expected to be characteristic of other codes which may possibly be applied to these physical questions in the foreseeable future.

  4. A multidimensional representation model of geographic features

    Science.gov (United States)

    Usery, E. Lynn; Timson, George; Coletti, Mark

    2016-01-28

    A multidimensional model of geographic features has been developed and implemented with data from The National Map of the U.S. Geological Survey. The model, programmed in C++ and implemented as a feature library, was tested with data from the National Hydrography Dataset demonstrating the capability to handle changes in feature attributes, such as increases in chlorine concentration in a stream, and feature geometry, such as the changing shoreline of barrier islands over time. Data can be entered directly, from a comma separated file, or features with attributes and relationships can be automatically populated in the model from data in the Spatial Data Transfer Standard format.

  5. Pobreza Multidimensional en Chile: 1990-2009

    OpenAIRE

    Claudia Sanhueza; Angela Denis; Francisca Gallegos

    2010-01-01

    Este trabajo presenta una propuesta de medición multidimensional de la pobreza para Chile. Siguiendo el enfoque conceptual de Amartya Sen, pobreza no es meramente insuficiencia de ingresos, sino se define como privación de capacidades para la realización de funcionamientos valiosos en la vida. Medimos carencias individuales en tres grupos de la población: niños, población económicamente activa y adultos mayores, y en cinco dimensiones: educación, salud, vivienda, empleo e ingresos. La justifi...

  6. Multidimensional Gravity with Einstein Internal Spaces

    CERN Document Server

    Ivashchuk, V D

    1996-01-01

    A multidimensional gravitational model on the manifold $M = M_0 \\times For $N_0 = dim M_0 > 2$ the $\\sigma$ model representation is considered and it is shown that the corresponding Euclidean Toda-like system does not satisfy the Adler-van-Moerbeke criterion. For $M_0 = R^{N_0}$, $N_0 = 3, 4, 6$ (and the total dimension $D = dim M = 11, 10, 11$, respectively) nonsingular spherically symmetric solutions to vacuum Einstein equations are obtained and their generalizations to arbitrary signatures are considered. It is proved that for a non-Euclidean signature the Riemann tensor squared of the solutions diverges on certain hypersurfaces in $R^{N_0}$.

  7. Point Information Gain and Multidimensional Data Analysis

    Directory of Open Access Journals (Sweden)

    Renata Rychtáriková

    2016-10-01

    Full Text Available We generalize the point information gain (PIG and derived quantities, i.e., point information gain entropy (PIE and point information gain entropy density (PIED, for the case of the Rényi entropy and simulate the behavior of PIG for typical distributions. We also use these methods for the analysis of multidimensional datasets. We demonstrate the main properties of PIE/PIED spectra for the real data with the examples of several images and discuss further possible utilizations in other fields of data processing.

  8. A multidimensional approach to measure poverty in rural Bangladesh.

    Science.gov (United States)

    Bhuiya, Abbas; Mahmood, Shehrin Shaila; Rana, A K M Masud; Wahed, Tania; Ahmed, Syed Masud; Chowdhury, A Mushtaque R

    2007-06-01

    Poverty is increasingly being understood as a multidimensional phenomenon. Other than income-consumption, which has been extensively studied in the past, health, education, shelter, and social involvement are among the most important dimensions of poverty. The present study attempts to develop a simple tool to measure poverty in its multidimensionality where it views poverty as an inadequate fulfillment of basic needs, such as food, clothing, shelter, health, education, and social involvement. The scale score ranges between 72 and 24 and is constructed in such a way that the score increases with increasing level of poverty. Using various techniques, the study evaluates the poverty-measurement tool and provides evidence for its reliability and validity by administering it in various areas of rural Bangladesh. The reliability coefficients, such as test-retest coefficient (0.85) and Cronbach's alpha (0.80) of the tool, were satisfactorily high. Based on the socioeconomic status defined by the participatory rural appraisal (PRA) exercise, the level of poverty identified by the scale was 33% in Chakaria, 26% in Matlab, and 32% in other rural areas of the country. The validity of these results was tested against some traditional methods of identifying the poor, and the association of the scores with that of the traditional indicators, such as ownership of land and occupation, asset index (r=0.72), and the wealth ranking obtained from the PRA exercise, was consistent. A statistically significant inverse relationship of the poverty scores with the socioeconomic status was observed in all cases. The scale also allowed the absolute level of poverty to be measured, and in the present study, the highest percentage of absolute poor was found in terms of health (44.2% in Chakaria, 36.4% in Matlab, and 39.1% in other rural areas), followed by social exclusion (35.7% in Chakaria, 28.5% in Matlab, and 22.3% in other rural areas), clothing (6.2% in Chakaria, 8.3% in Matlab, and 20

  9. Testlet-based Multidimensional Adaptive Testing

    Directory of Open Access Journals (Sweden)

    Andreas Frey

    2016-11-01

    Full Text Available Multidimensional adaptive testing (MAT is a highly efficient method for the simultaneous measurement of several latent traits. Currently, no psychometrically sound approach is available for the use of MAT in testlet-based tests. Testlets are sets of items sharing a common stimulus such as a graph or a text. They are frequently used in large operational testing programs like TOEFL, PISA, PIRLS, or NAEP. To make MAT accessible for such testing programs, we present a novel combination of MAT with a multidimensional generalization of the random effects testlet model (MAT-MTIRT. MAT-MTIRT compared to non-adaptive testing is examined for several combinations of testlet effect variances (0.0, 0.5, 1.0, 1.5 and testlet sizes (3 items, 6 items, 9 items with a simulation study considering three ability dimensions with simple loading structure. MAT-MTIRT outperformed non-adaptive testing regarding the measurement precision of the ability estimates. Further, the measurement precision decreased when testlet effect variances and testlet sizes increased. The suggested combination of the MTIRT model therefore provides a solution to the substantial problems of testlet-based tests while keeping the length of the test within an acceptable range.

  10. Testlet-Based Multidimensional Adaptive Testing.

    Science.gov (United States)

    Frey, Andreas; Seitz, Nicki-Nils; Brandt, Steffen

    2016-01-01

    Multidimensional adaptive testing (MAT) is a highly efficient method for the simultaneous measurement of several latent traits. Currently, no psychometrically sound approach is available for the use of MAT in testlet-based tests. Testlets are sets of items sharing a common stimulus such as a graph or a text. They are frequently used in large operational testing programs like TOEFL, PISA, PIRLS, or NAEP. To make MAT accessible for such testing programs, we present a novel combination of MAT with a multidimensional generalization of the random effects testlet model (MAT-MTIRT). MAT-MTIRT compared to non-adaptive testing is examined for several combinations of testlet effect variances (0.0, 0.5, 1.0, and 1.5) and testlet sizes (3, 6, and 9 items) with a simulation study considering three ability dimensions with simple loading structure. MAT-MTIRT outperformed non-adaptive testing regarding the measurement precision of the ability estimates. Further, the measurement precision decreased when testlet effect variances and testlet sizes increased. The suggested combination of the MTIRT model therefore provides a solution to the substantial problems of testlet-based tests while keeping the length of the test within an acceptable range.

  11. Multidimensional Learner Model In Intelligent Learning System

    Science.gov (United States)

    Deliyska, B.; Rozeva, A.

    2009-11-01

    The learner model in an intelligent learning system (ILS) has to ensure the personalization (individualization) and the adaptability of e-learning in an online learner-centered environment. ILS is a distributed e-learning system whose modules can be independent and located in different nodes (servers) on the Web. This kind of e-learning is achieved through the resources of the Semantic Web and is designed and developed around a course, group of courses or specialty. An essential part of ILS is learner model database which contains structured data about learner profile and temporal status in the learning process of one or more courses. In the paper a learner model position in ILS is considered and a relational database is designed from learner's domain ontology. Multidimensional modeling agent for the source database is designed and resultant learner data cube is presented. Agent's modules are proposed with corresponding algorithms and procedures. Multidimensional (OLAP) analysis guidelines on the resultant learner module for designing dynamic learning strategy have been highlighted.

  12. Benchmarking the Multidimensional Stellar Implicit Code MUSIC

    Science.gov (United States)

    Goffrey, T.; Pratt, J.; Viallet, M.; Baraffe, I.; Popov, M. V.; Walder, R.; Folini, D.; Geroux, C.; Constantino, T.

    2017-04-01

    We present the results of a numerical benchmark study for the MUltidimensional Stellar Implicit Code (MUSIC) based on widely applicable two- and three-dimensional compressible hydrodynamics problems relevant to stellar interiors. MUSIC is an implicit large eddy simulation code that uses implicit time integration, implemented as a Jacobian-free Newton Krylov method. A physics based preconditioning technique which can be adjusted to target varying physics is used to improve the performance of the solver. The problems used for this benchmark study include the Rayleigh-Taylor and Kelvin-Helmholtz instabilities, and the decay of the Taylor-Green vortex. Additionally we show a test of hydrostatic equilibrium, in a stellar environment which is dominated by radiative effects. In this setting the flexibility of the preconditioning technique is demonstrated. This work aims to bridge the gap between the hydrodynamic test problems typically used during development of numerical methods and the complex flows of stellar interiors. A series of multidimensional tests were performed and analysed. Each of these test cases was analysed with a simple, scalar diagnostic, with the aim of enabling direct code comparisons. As the tests performed do not have analytic solutions, we verify MUSIC by comparing it to established codes including ATHENA and the PENCIL code. MUSIC is able to both reproduce behaviour from established and widely-used codes as well as results expected from theoretical predictions. This benchmarking study concludes a series of papers describing the development of the MUSIC code and provides confidence in future applications.

  13. MULTIDIMENSIONAL MODELING OF CORONAL RAIN DYNAMICS

    Energy Technology Data Exchange (ETDEWEB)

    Fang, X.; Xia, C.; Keppens, R. [Centre for mathematical Plasma Astrophysics, Department of Mathematics, KU Leuven, B-3001 Leuven (Belgium)

    2013-07-10

    We present the first multidimensional, magnetohydrodynamic simulations that capture the initial formation and long-term sustainment of the enigmatic coronal rain phenomenon. We demonstrate how thermal instability can induce a spectacular display of in situ forming blob-like condensations which then start their intimate ballet on top of initially linear force-free arcades. Our magnetic arcades host a chromospheric, transition region, and coronal plasma. Following coronal rain dynamics for over 80 minutes of physical time, we collect enough statistics to quantify blob widths, lengths, velocity distributions, and other characteristics which directly match modern observational knowledge. Our virtual coronal rain displays the deformation of blobs into V-shaped features, interactions of blobs due to mostly pressure-mediated levitations, and gives the first views of blobs that evaporate in situ or are siphoned over the apex of the background arcade. Our simulations pave the way for systematic surveys of coronal rain showers in true multidimensional settings to connect parameterized heating prescriptions with rain statistics, ultimately allowing us to quantify the coronal heating input.

  14. Visualizing multidimensional query results using animation

    Science.gov (United States)

    Sawant, Amit P.; Healey, Christopher G.

    2008-01-01

    Effective representation of large, complex collections of information (datasets) presents a difficult challenge. Visualization is a solution that uses a visual interface to support efficient analysis and discovery within the data. Our primary goal in this paper is a technique that allows viewers to compare multiple query results representing user-selected subsets of a multidimensional dataset. We present an algorithm that visualizes multidimensional information along a space-filling spiral. Graphical glyphs that vary their position, color, and texture appearance are used to represent attribute values for the data elements in each query result. Guidelines from human perception allow us to construct glyphs that are specifically designed to support exploration, facilitate the discovery of trends and relationships both within and between data elements, and highlight exceptions. A clustering algorithm applied to a user-chosen ranking attribute bundles together similar data elements. This encapsulation is used to show relationships across different queries via animations that morph between query results. We apply our techniques to the MovieLens recommender system, to demonstrate their applicability in a real-world environment, and then conclude with a simple validation experiment to identify the strengths and limitations of our design, compared to a traditional side-by-side visualization.

  15. Multidimensional Big Spatial Data Modeling Through A Case Study: Lte Rf Subsystem Power Consumption Modeling

    DEFF Research Database (Denmark)

    Antón Castro, Francesc/François; Musiige, Deogratius; Mioc, Darka

    2016-01-01

    This paper presents a case study for comparing different multidimensional mathematical modeling methodologies used in multidimensional spatial big data modeling and proposing a new technique. An analysis of multidimensional modeling approaches (neural networks, polynomial interpolation and homotopy...

  16. Using the Andrews Plotss to Visualize Multidimensional Data in Multi-criteria Optimization

    Directory of Open Access Journals (Sweden)

    S. V. Groshev

    2015-01-01

    Full Text Available Currently, issues on processing of large data volumes are of great importance. Initially, the Andrews plots have been proposed to show multidimensional statistics on the plane. But as the Andrews plots retain information on the average values of the represented values, distances, and dispersion, the distances between the plots linearly indicate distances between the data points, and it becomes possible to use the plots under consideration for the graphical representation of multi-dimensional data of various kinds. The paper analyses a diversity of various mathematical apparatus for Andrews plotting to visualize multi-dimensional data.The first section provides basic information about the Andrews plots, as well as about a test set of multidimensional data in Iris Fischer’s literature. Analysis of the Andrews plot properties shows that they provide a limitlessly many one-dimensional projections on the vectors and, furthermore, the plots, which are nearer to each other, correspond to nearly points. All this makes it possible to use the plots under consideration for multi-dimensional data representation. The paper considers the Andrews plot formation based on Fourier transform functions, and from the analysis results of plotting based on a set of the test, it draws a conclusion that in this way it is possible to provide clustering of multidimensional data.The second section of the work deals with research of different ways to modify the Andrews plots in order to improve the perception of the graphical representation of multidimensional data. Different variants of the Andrews plot projections on the coordinate planes and arbitrary subspaces are considered. In addition, the paper studies an effect of the Andrews plot scaling on the visual perception of multidimensional data.The paper’s third section describes Andrews plotting based on different polynomials, in particular, Chebyshev and Legendre polynomials. It is shown that the resulting image is

  17. [Multidimensional family therapy: which influences, which specificities?].

    Science.gov (United States)

    Bonnaire, C; Bastard, N; Couteron, J-P; Har, A; Phan, O

    2014-10-01

    Among illegal psycho-active drugs, cannabis is the most consumed by French adolescents. Multidimensional family therapy (MDFT) is a family-based outpatient therapy which has been developed for adolescents with drug and behavioral problems. MDFT has shown its effectiveness in adolescents with substance abuse disorders (notably cannabis abuse) not only in the United States but also in Europe (International Cannabis Need of Treatment project). MDFT is a multidisciplinary approach and an evidence-based treatment, at the crossroads of developmental psychology, ecological theories and family therapy. Its psychotherapeutic techniques find its roots in a variety of approaches which include systemic family therapy and cognitive therapy. The aims of this paper are: to describe all the backgrounds of MDFT by highlighting its characteristics; to explain how structural and strategy therapies have influenced this approach; to explore the links between MDFT, brief strategic family therapy and multi systemic family therapy; and to underline the specificities of this family therapy method. The multidimensional family therapy was created on the bases of 1) the integration of multiple therapeutic techniques stemming from various family therapy theories; and 2) studies which have shown family therapy efficiency. Several trials have shown a better efficiency of MDFT compared to group treatment, cognitive-behavioral therapy and home-based treatment. Studies have also highlighted that MDFT led to superior treatment outcomes, especially among young people with severe drug use and psychiatric co-morbidities. In the field of systemic family therapies, MDFT was influenced by: 1) the structural family therapy (S. Minuchin), 2) the strategic family theory (J. Haley), and 3) the intergenerational family therapy (Bowen and Boszormenyi-Nagy). MDFT has specific aspects: MDFT therapists think in a multidimensional perspective (because an adolescent's drug abuse is a multidimensional disorder), they

  18. Multidimensional Physical Self-Concept of Athletes with Physical Disabilities

    Science.gov (United States)

    Shapiro, Deborah R.; Martin, Jeffrey J.

    2010-01-01

    The purposes of this investigation were first to predict reported PA (physical activity) behavior and self-esteem using a multidimensional physical self-concept model and second to describe perceptions of multidimensional physical self-concept (e.g., strength, endurance, sport competence) among athletes with physical disabilities. Athletes (N =…

  19. NUMERICAL INVERSION OF MULTIDIMENSIONAL LAPLACE TRANSFORMS USING MOMENT METHODS

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    This paper develops a numerical method to invert multi-dimensional Laplace transforms. By a variable transform, Laplace transforms are converted to multi-dimensional Hausdorff moment problems so that the numerical solution can be achieved. Stability estimation is also obtained. Numerical simulations show the efficiency and practicality of the method.

  20. Multidimensional filter banks and wavelets research developments and applications

    CERN Document Server

    Levy, Bernard

    1997-01-01

    Multidimensional Filter Banks and Wavelets: Reserach Developments and Applications brings together in one place important contributions and up-to-date research results in this important area. Multidimensional Filter Banks and Wavelets: Research Developments and Applications serves as an excellent reference, providing insight into some of the most important research issues in the field.

  1. Multidimensional Computerized Adaptive Testing for Indonesia Junior High School Biology

    Science.gov (United States)

    Kuo, Bor-Chen; Daud, Muslem; Yang, Chih-Wei

    2015-01-01

    This paper describes a curriculum-based multidimensional computerized adaptive test that was developed for Indonesia junior high school Biology. In adherence to the Indonesian curriculum of different Biology dimensions, 300 items was constructed, and then tested to 2238 students. A multidimensional random coefficients multinomial logit model was…

  2. Multidimensional Computerized Adaptive Testing for Indonesia Junior High School Biology

    Science.gov (United States)

    Kuo, Bor-Chen; Daud, Muslem; Yang, Chih-Wei

    2015-01-01

    This paper describes a curriculum-based multidimensional computerized adaptive test that was developed for Indonesia junior high school Biology. In adherence to the Indonesian curriculum of different Biology dimensions, 300 items was constructed, and then tested to 2238 students. A multidimensional random coefficients multinomial logit model was…

  3. Multidimensional Linking for Tests with Mixed Item Types

    Science.gov (United States)

    Yao, Lihua; Boughton, Keith

    2009-01-01

    Numerous assessments contain a mixture of multiple choice (MC) and constructed response (CR) item types and many have been found to measure more than one trait. Thus, there is a need for multidimensional dichotomous and polytomous item response theory (IRT) modeling solutions, including multidimensional linking software. For example,…

  4. Multidimensional relationships between paternalistic leadership and perceptions of organizational ethical climates.

    Science.gov (United States)

    Wu, Yu-Chi; Tsai, Ping Ju

    2012-10-01

    This study investigated how paternalistic leadership is linked to ethical climates based on a multidimensional construct perspective. This experimental study utilized the partial least squares (PLS) techniques to analyze the data. Participants were 258 civil servants working in various public sectors in Taiwan, who were asked to rate their leaders' paternalistic leadership behaviors and their perception of the ethical climates in their organizations using the Paternalistic Leadership Scale and the Ethical Climate Questionnaire. Using the unidimensional constructs of paternalistic leadership and ethical climates, prior research showed vidence of a positive relationship; however, in the current study, multidimensional relations among these constructs may be positive or negative. The findings of this study suggested that leaders may implement specific types of paternalistic leadership to enhance the intended ethical climate in their organizations.

  5. A multi-dimensional assessment of urban vulnerability to climate change in Sub-Saharan Africa

    DEFF Research Database (Denmark)

    Herslund, Lise Byskov; Jalyer, Fatameh; Jean-Baptiste, Nathalie

    2016-01-01

    In this paper, we develop and apply a multi-dimensional vulnerability assessment framework for understanding the impacts of climate change-induced hazards in Sub- Saharan African cities. The research was carried out within the European/African FP7 project CLimate change and Urban Vulnerability...... in Africa, which investigated climate change-induced risks, assessed vulnerability and proposed policy initiatives in five African cities. Dar es Salaam (Tanzania) was used as a main case with a particular focus on urban flooding. The multi-dimensional assessment covered the physical, institutional...... for strategic coordination and action. To better adapt to urban flooding andthereby reduce vulnerability and build resilience, we suggest working across dimensions and scales, integrating climate change issues in city-level plans and strategies and enabling local actions to initiate a ‘learning...

  6. Anomalies, Beta Functions and Supersymmetric Unification with Multi-Dimensional Higgs Representations

    CERN Document Server

    Aranda, Alfredo; Rojas, Alma D

    2009-01-01

    In the framework of supersymmetric Grand Unified Theories, the minimal Higgs sector is often extended by introducing multi-dimensional Higgs representations in order to obtain realistic models. However these constructions should remain anomaly-free, which constraints significantly their structure. We review the necessary conditions for the cancellation of anomalies in general and discuss in detail the different possibilities for SUSY SU(5) models. Alternative anomaly free combinations of Higgs representations, beyond the usual vector-like choice, are identified, and it is shown that their corresponding beta functions are not equivalent. Although the unification of gauge couplings is not affected, the introduction of multi-dimensional representations leads to different scenarios for the perturbative validity of the theory up to the Planck scale.

  7. Multidimensional Data Modeling For Location-Based Services

    DEFF Research Database (Denmark)

    Jensen, Christian Søndergaard; Kligys, Augustas; Pedersen, Torben Bach

    2004-01-01

    and requests of their users in multidimensional databases, i.e., data warehouses, and content delivery may be based on the results of complex queries on these data warehouses. Such queries aggregate detailed data in order to find useful patterns, e.g., in the interaction of a particular user with the services....... The application of multidimensional technology in this context poses a range of new challenges. The specific challenge addressed here concerns the provision of an appropriate multidimensional data model. In particular, the paper extends an existing multidimensional data model and algebraic query language...... to accommodate spatial values that exhibit partial containment relationships instead of the total containment relationships normally assumed in multidimensional data models. Partial containment introduces imprecision in aggregation paths. The paper proposes a method for evaluating the imprecision of such paths...

  8. Multidimensional Data Modeling For Location-Based Services

    DEFF Research Database (Denmark)

    Jensen, Christian Søndergaard; Kligys, A.; Pedersen, Torben Bach

    2003-01-01

    and requests of their users in multidimensional databases, i.e., data warehouses; and content delivery may be based on the results of complex queries on these data warehouses. Such queries aggregate detailed data in order to find useful patterns, e.g., in the interaction of a particular user with the services....... The application of multidimensional technology in this context poses a range of new challenges. The specific challenge addressed here concerns the provision of an appropriate multidimensional data model. In particular, the paper extends an existing multidimensional data model and algebraic query language...... to accommodate spatial values that exhibit partial containment relationships instead of the total containment relationships normally assumed in multidimensional data models. Partial containment introduces imprecision in aggregation paths. The paper proposes a method for evaluating the imprecision of such paths...

  9. MULTIDIMENSIONAL RELIABILITY OF INSTRUMENT STUDENTS’ SATISFACTION USING CONFIRMATORY FACTOR ANALYSIS

    Directory of Open Access Journals (Sweden)

    Gaguk Margono

    2014-11-01

    Full Text Available The purpose of this paper is to compare unidimensional reliability and multidimensional reliability of instrument students’ satisfaction as an internal costumer. Multidimensional reliability measurement is rarely used in the field of research. Multidimensional reliability is estimated by using Confirmatory Factor Analysis (CFA on the Structural Equation Model (SEM. Measurements and calculations are described in this article using instrument students’ satisfaction as an internal costumer. Survey method used in this study and sampling used simple random sampling. This instrument has been tried out to 173 students. The result is concluded that the measuringinstrument of students’ satisfaction as an internal costumer by using multidimensional reliability coefficient has higher accuracy when compared with a unidimensional reliability coefficient. Expected in advanced research used another formula multidimensional reliability, including when using SEM.

  10. Nuclear Forensic Inferences Using Iterative Multidimensional Statistics

    Energy Technology Data Exchange (ETDEWEB)

    Robel, M; Kristo, M J; Heller, M A

    2009-06-09

    Nuclear forensics involves the analysis of interdicted nuclear material for specific material characteristics (referred to as 'signatures') that imply specific geographical locations, production processes, culprit intentions, etc. Predictive signatures rely on expert knowledge of physics, chemistry, and engineering to develop inferences from these material characteristics. Comparative signatures, on the other hand, rely on comparison of the material characteristics of the interdicted sample (the 'questioned sample' in FBI parlance) with those of a set of known samples. In the ideal case, the set of known samples would be a comprehensive nuclear forensics database, a database which does not currently exist. In fact, our ability to analyze interdicted samples and produce an extensive list of precise materials characteristics far exceeds our ability to interpret the results. Therefore, as we seek to develop the extensive databases necessary for nuclear forensics, we must also develop the methods necessary to produce the necessary inferences from comparison of our analytical results with these large, multidimensional sets of data. In the work reported here, we used a large, multidimensional dataset of results from quality control analyses of uranium ore concentrate (UOC, sometimes called 'yellowcake'). We have found that traditional multidimensional techniques, such as principal components analysis (PCA), are especially useful for understanding such datasets and drawing relevant conclusions. In particular, we have developed an iterative partial least squares-discriminant analysis (PLS-DA) procedure that has proven especially adept at identifying the production location of unknown UOC samples. By removing classes which fell far outside the initial decision boundary, and then rebuilding the PLS-DA model, we have consistently produced better and more definitive attributions than with a single pass classification approach. Performance of the

  11. Biological evolution in a multidimensional fitness landscape.

    Science.gov (United States)

    Saakian, David B; Kirakosyan, Zara; Hu, Chin-Kun

    2012-09-01

    We considered a multiblock molecular model of biological evolution, in which fitness is a function of the mean types of alleles located at different parts (blocks) of the genome. We formulated an infinite population model with selection and mutation, and calculated the mean fitness. For the case of recombination, we formulated a model with a multidimensional fitness landscape (the dimension of the space is equal to the number of blocks) and derived a theorem about the dynamics of initially narrow distribution. We also considered the case of lethal mutations. We also formulated the finite population version of the model in the case of lethal mutations. Our models, derived for the virus evolution, are interesting also for the statistical mechanics and the Hamilton-Jacobi equation as well.

  12. Multimodal Evolution Approach to Multidimensional Intrusion Detection

    Institute of Scientific and Technical Information of China (English)

    Weng Guang'an; Yu Shengsheng; Zhou Jingli

    2006-01-01

    An artificial immunity based multimodal evolution algorithm is developed to generate detectors with variable coverage for multidimensional intrusion detection. In this algorithm, a proper fitness function is used to drive the detectors to fill in those detection holes close to self set or among self spheres, and genetic algorithm is adopted to reduce the negative effects that different distribution of self imposes on the detector generating process. The validity of the algorithm is tested with spherical and rectangular detectors,respectively, and experiments performed on two real data sets ( machine learning database and DAPRA99) indicate that the proposed algorithm can obtain good results on spherical detectors, and that its performances in detection rate, false alarm rate, stability, time cost, and adaptability to incomplete training set on spherical detectors are all better than on rectangular ones.

  13. Multidimensional Quantum Tunneling in the Schwinger Effect

    CERN Document Server

    Dumlu, Cesim K

    2015-01-01

    We study the Schwinger effect, in which the external field having a spatio-temporal profile creates electron-positron pairs via multidimensional quantum tunneling. Our treatment is based on Gutzwiller's trace formula for the QED effective action, whose imaginary part is represented by a sum over complex wordlines. The worldlines are multi-periodic, and the periods of motion collectively depend on the strength of spatial and temporal inhomogeneity. We argue that Hamilton's characteristic function that leads to the correct tunneling amplitude must explicitly depend on both periods, and is represented by an average over the internal cycles of motion. We use this averaging method to calculate the pair production rate in an exponentially damped sinusoidal field, where we find that the initial conditions for each family of periodic trajectories lie on a curve in the momentum plane. The ratio of the periods, which may also be referred as the topological index, stays uniform on each curve. Calculation of tunneling am...

  14. Testing for uniformity in multidimensional data.

    Science.gov (United States)

    Smith, S P; Jain, A K

    1984-01-01

    Testing for uniformity in multidimensional data is important in exploratory pattern analysis, statistical pattern recognition, and image processing. The goal of this paper is to determine whether the data follow the uniform distribution over some compact convex set in K-dimensional space, called the sampling window. We first provide a simple, computationally efficient method for generating a uniformly distributed sample over a set which approximates the convex hul of the data. We then test for uniformity by comparing this generated sample to the data by using Friedman-Rafsky's minimal spanning tree (MST) based test. Experiments with both simulated and real data indicate that this MST-based test is useful in deciding if data are uniform.

  15. Multidimensional modeling of coronal rain dynamics

    CERN Document Server

    Fang, X; Keppens, R

    2013-01-01

    We present the first multidimensional, magnetohydrodynamic simulations which capture the initial formation and the long-term sustainment of the enigmatic coronal rain phenomenon. We demonstrate how thermal instability can induce a spectacular display of in-situ forming blob-like condensations which then start their intimate ballet on top of initially linear force-free arcades. Our magnetic arcades host chromospheric, transition region, and coronal plasma. Following coronal rain dynamics for over 80 minutes physical time, we collect enough statistics to quantify blob widths, lengths, velocity distributions, and other characteristics which directly match with modern observational knowledge. Our virtual coronal rain displays the deformation of blobs into $V$-shaped like features, interactions of blobs due to mostly pressure-mediated levitations, and gives the first views on blobs which evaporate in situ, or get siphoned over the apex of the background arcade. Our simulations pave the way for systematic surveys o...

  16. Multidimensional numerical modeling of heat exchangers

    Science.gov (United States)

    Sha, W. T.; Yang, C. I.; Kao, T. T.; Cho, S. M.

    A comprehensive, multidimensional, thermal-hydraulic model is developed for the analysis of shell-and-tube heat exchangers for liquid-metal services. For the shellside fluid, the conservation equations of mass, momentum, and energy for continuum fluids are modified using the concept of porosity, surface permeability and distributed resistance to account for the blockage effects due to the presence of heat-transfer tubes, flow baffles/shrouds, the support plates, etc. On the tubeside, the heat-transfer tubes are connected in parallel between the inlet and outlet plenums, and tubeside flow distribution is calculated based on the plenum-to-plenum pressure difference being equal for all tubes. It is assumed that the fluid remains single-phase on the shell side and may undergo phase-change on the tube side, thereby simulating the conditions of Liquid Metal Fast Breeder Reactor (LMFBR) intermediate heat exchangers (IHX) and steam generators (SG).

  17. Development of a multidimensional gamma-spectrometer

    Energy Technology Data Exchange (ETDEWEB)

    Burnett, Jonathan L.; Cantaloub, Michael G.; Mayer, Michael F.; Miley, Harry S.

    2017-02-28

    A high-sensitivity multidimensional gamma-spectrometer is being developed within the shallow underground laboratory at Pacific Northwest National Laboratory (PNNL, USA). The system consists of two Broad Energy Germanium (BEGe) detectors, inside a low-background lead and copper shield, fitted with a cosmic veto background reduction system. The detector has advanced functionality, including operation in single or combined detector mode, with reductions in the cosmic background by 49.6% and Compton suppression of 6.5%. For selected radionuclides this provides an overall MDA improvement of 52.7%. Utilizing both detectors for simultaneous measurements of thermally irradiated highly enriched uranium (HEU) increased peak identification and reduced uncertainty by 27.6%. The design uses commercially off-the-shelf (COTS) components, for which the configuration is described, to provide a practical and powerful solution for low-level nuclear measurements.

  18. Constraint theory multidimensional mathematical model management

    CERN Document Server

    Friedman, George J

    2017-01-01

    Packed with new material and research, this second edition of George Friedman’s bestselling Constraint Theory remains an invaluable reference for all engineers, mathematicians, and managers concerned with modeling. As in the first edition, this text analyzes the way Constraint Theory employs bipartite graphs and presents the process of locating the “kernel of constraint” trillions of times faster than brute-force approaches, determining model consistency and computational allowability. Unique in its abundance of topological pictures of the material, this book balances left- and right-brain perceptions to provide a thorough explanation of multidimensional mathematical models. Much of the extended material in this new edition also comes from Phan Phan’s PhD dissertation in 2011, titled “Expanding Constraint Theory to Determine Well-Posedness of Large Mathematical Models.” Praise for the first edition: "Dr. George Friedman is indisputably the father of the very powerful methods of constraint theory...

  19. Optical Multidimensional Switching for Data Center Networks

    DEFF Research Database (Denmark)

    Kamchevska, Valerija

    2017-01-01

    avoiding power hungry optical-electrical-optical conversions at each node. This Ph.D. thesis focuses precisely on the application of optical technologies in data center networks where optics is not only used for extending the reach, but more importantly the benefits of photonic devices are exploited...... for the purpose of deploying optical switching within the network. First, the Hi-Ring data center architecture is proposed. It is based on optical multidimensional switching nodes that provide switching in hierarchically layered space, wavelength and time domain. The performance of the Hi-Ring architecture......: the first one referring to hardware-software integration where the data plane is integrated with a centralized control plane deploying a software defined controller, and the second one referring to on-chip integration of devices in the data plane ultimately leading to integrated systems and networks on chip...

  20. Large-Scale Mapping of Tree-Community Composition as a Surrogate of Forest Degradation in Bornean Tropical Rain Forests

    Directory of Open Access Journals (Sweden)

    Shogoro Fujiki

    2016-12-01

    Full Text Available Assessment of the progress of the Aichi Biodiversity Targets set by the Convention on Biological Diversity (CBD and the safeguarding of ecosystems from the perverse negative impacts caused by Reducing Emissions from Deforestation and Forest Degradation Plus (REDD+ requires the development of spatiotemporally robust and sensitive indicators of biodiversity and ecosystem health. Recently, it has been proposed that tree-community composition based on count-plot surveys could serve as a robust, sensitive, and cost-effective indicator for forest intactness in Bornean logged-over rain forests. In this study, we developed an algorithm to map tree-community composition across the entire landscape based on Landsat imagery. We targeted six forest management units (FMUs, each of which ranged from 50,000 to 100,000 ha in area, covering a broad geographic range spanning the most area of Borneo. Approximately fifty 20 m-radius circular plots were established in each FMU, and the differences in tree-community composition at a genus level among plots were examined for trees with diameter at breast height ≥10 cm using an ordination with non-metric multidimensional scaling (nMDS. Subsequently, we developed a linear regression model based on Landsat metrics (e.g., reflectance value, vegetation indices and textures to explain the nMDS axis-1 scores of the plots, and extrapolated the model to the landscape to establish a tree-community composition map in each FMU. The adjusted R2 values based on a cross-validation approach between the predicted and observed nMDS axis-1 scores indicated a close correlation, ranging from 0.54 to 0.69. Histograms of the frequency distributions of extrapolated nMDS axis-1 scores were derived from each map and used to quantitatively diagnose the forest intactness of the FMUs. Our study indicated that tree-community composition, which was reported as a robust indicator of forest intactness, could be mapped at a landscape level to

  1. Genetic and environmental multidimensionality of well- and ill-being in middle aged twin men.

    Science.gov (United States)

    Franz, Carol E; Panizzon, Matthew S; Eaves, Lindon J; Thompson, Wesley; Lyons, Michael J; Jacobson, Kristen C; Tsuang, Ming; Glatt, Stephen J; Kremen, William S

    2012-07-01

    The goals of the study were to determine the extent to which the underlying structure of different types of well-being was multidimensional and whether well- and ill-being were influenced by similar or different genetic and environmental factors. Participants were 1226 male twins ages 51-60, from the Vietnam Era Twin Study of Aging. Measures included: psychological well-being, Multidimensional Personality Questionnaire Well-Being scale (MPQWB), life satisfaction, self-esteem, and depressive symptoms. A two-orthogonal-factor common pathway model fit the data well. Psychological well-being and self-esteem loaded most strongly on Factor 1, which was highly heritable (h(2) = .79). Life satisfaction loaded most strongly on Factor 2, which was only moderately heritable (h(2) = .32). Only MPQWB had measure-specific genetic influences. Depressive symptoms loaded on both factors, and only depressive symptoms had measure-specific common environmental influences. All measures had specific unique environmental influences. Results indicate that well-being is genetically and environmentally multidimensional and that ill-being has partial overlap with both latent factors.

  2. Towards Conceptual Multidimensional Design in Decision Support Systems

    CERN Document Server

    Teste, Olivier

    2010-01-01

    Multidimensional databases support efficiently on-line analytical processing (OLAP). In this paper, we depict a model dedicated to multidimensional databases. The approach we present designs decisional information through a constellation of facts and dimensions. Each dimension is possibly shared between several facts and it is organised according to multiple hierarchies. In addition, we define a comprehensive query algebra regrouping the more popular multidimensional operations in current commercial systems and research approaches. We introduce new operators dedicated to a constellation. Finally, we describe a prototype that allows managers to query constellations of facts, dimensions and multiple hierarchies.

  3. A study of multidimensional modeling approaches for data warehouse

    Science.gov (United States)

    Yusof, Sharmila Mat; Sidi, Fatimah; Ibrahim, Hamidah; Affendey, Lilly Suriani

    2016-08-01

    Data warehouse system is used to support the process of organizational decision making. Hence, the system must extract and integrate information from heterogeneous data sources in order to uncover relevant knowledge suitable for decision making process. However, the development of data warehouse is a difficult and complex process especially in its conceptual design (multidimensional modeling). Thus, there have been various approaches proposed to overcome the difficulty. This study surveys and compares the approaches of multidimensional modeling and highlights the issues, trend and solution proposed to date. The contribution is on the state of the art of the multidimensional modeling design.

  4. A multidimensional subdiffusion model: An arbitrage-free market

    Science.gov (United States)

    Li, Guo-Hua; Zhang, Hong; Luo, Mao-Kang

    2012-12-01

    To capture the subdiffusive characteristics of financial markets, the subordinated process, directed by the inverse α-stale subordinator Sα(t) for 0 process is a multidimensional subdiffusion process directed by the inverse α-stable subordinator. This model describes the period of stagnation for each stock and the behavior of the dependency between multiple stocks. Moreover, we derive the multidimensional fractional backward Kolmogorov equation for the subordinated process using the Laplace transform technique. Finally, using a martingale approach, we prove that the multidimensional subdiffusion model is arbitrage-free, and also gives an arbitrage-free pricing rule for contingent claims associated with the martingale measure.

  5. Relations of goal orientations and expectations on multidimensional state anxiety.

    Science.gov (United States)

    Newton, M; Duda, J

    1995-12-01

    This study examined the relationships among task and ego orientation, expectations for success, and multidimensional state anxiety in a competitive sport situation. Subjects (N = 107) enrolled in a tennis skills class were gender- and ability-matched and asked to play an eight game pro-set. One week prior to the match goal orientations were assessed. Immediately prior to competition multidimensional state anxiety and performance expectations were measured. Multiple regression analyses predicting multidimensional state anxiety revealed that somatic and cognitive state anxiety were only predicted by performance expectations. Also, lower ego orientation and positive match expectations were predictive of state self-confidence. Results are interpreted in light of goal perspective theory.

  6. Multidimensional analysis of Drosophila wing variation in Evolution Canyon

    Indian Academy of Sciences (India)

    Vincent Debat; Raphael Cornette; Abraham B. Koral; Eviatar Nevo; David Soulet; Jean R. David

    2008-12-01

    Environmental stress has been suggested to be a major evolutionary force, both through inducing strong selection and because of its direct impact on developmental buffering processes that alter the evolvability of organisms. In particular, temperature has attracted much attention because of its importance as an ecological feature and the relative ease with which it can be experimentally manipulated in the lab. Evolution Canyon, Lower Nahal Oren, Israel, is a well studied natural site where ecological parameters are suspected to drive evolutionary differentiation. In this study, using Drosophila melanogaster isofemale lines derived from wild flies collected on both slopes of the canyon, we investigated the effect of developmental temperature upon the different components of phenotypic variation of a complex trait: the wing. Combining geometric and traditional morphometrics, we find only limited evidence for a differentiation among slopes. Investigating simultaneously phenotypic plasticity, genetic variation among isofemale lines, variation among individuals and fluctuating asymmetry, we could not identify a consistent effect of the stressful conditions encountered on the south facing slope. The prevailing structuring effect is that of the experimentally manipulated temperature which clearly influences wing mean size and shape. Variability, in contrast, is not consistently affected by temperature. Finally, we investigated the specific relationship between individual variation and fluctuating asymmetry. Using metric multi-dimensional scaling we show that the related patterns of wing shape variation are not identical, supporting the view that the underlying developmental processes are to a certain extent different.

  7. Multidimensional poverty dynamics in Ethiopia: how do they differ ...

    African Journals Online (AJOL)

    Multidimensional poverty dynamics in Ethiopia: how do they differ from ... such as consumption or income, and nonmonetary, such as health and education. ... poverty index (MPI); recent studies document that people identified as poor in one ...

  8. The Conceptual Integration Modeling Framework: Abstracting from the Multidimensional Model

    CERN Document Server

    Rizzolo, Flavio; Pottinger, Rachel; Wong, Kwok

    2010-01-01

    Data warehouses are overwhelmingly built through a bottom-up process, which starts with the identification of sources, continues with the extraction and transformation of data from these sources, and then loads the data into a set of data marts according to desired multidimensional relational schemas. End user business intelligence tools are added on top of the materialized multidimensional schemas to drive decision making in an organization. Unfortunately, this bottom-up approach is costly both in terms of the skilled users needed and the sheer size of the warehouses. This paper proposes a top-down framework in which data warehousing is driven by a conceptual model. The framework offers both design time and run time environments. At design time, a business user first uses the conceptual modeling language as a multidimensional object model to specify what business information is needed; then she maps the conceptual model to a pre-existing logical multidimensional representation. At run time, a system will tra...

  9. A vector-based, multidimensional scanpath similarity measure

    NARCIS (Netherlands)

    Jarodzka, Halszka; Holmqvist, Kenneth; Nyström, Marcus

    2011-01-01

    Jarodzka, H., Holmqvist, K., & Nyström, M. (2010, March). A vector-based, multidimensional scanpath similarity measure. Presentation at the Eye Tracking Research & Application Symposium (ETRA), Austin, Texas, USA.

  10. Nonparametric Bayesian drift estimation for multidimensional stochastic differential equations

    NARCIS (Netherlands)

    Gugushvili, S.; Spreij, P.

    2014-01-01

    We consider nonparametric Bayesian estimation of the drift coefficient of a multidimensional stochastic differential equation from discrete-time observations on the solution of this equation. Under suitable regularity conditions, we establish posterior consistency in this context.

  11. Multidimensional Poverty Dynamics in Ethiopia: How do they differ ...

    African Journals Online (AJOL)

    Optiplex 7010 Pro

    One large class of nonmonetary measures of poverty is the multidimensional ... determined prices to provide socially determined weights for each element. The appeal is in the ... ability to regularly track progress and make time-sensitive policy.

  12. The Multicultural Personality Questionnaire : A multidimensional instrument of multicultural effectiveness

    NARCIS (Netherlands)

    Van der Zee, KI; Van Oudenhoven, JP

    2000-01-01

    In today's global business environment, executive work is becoming more international in orientation. Several skills and traits may underlie executive success in an inter national environment. The Multicultural Personality Questionnaire was developed as a multidimensional instrument aimed at measuri

  13. Multidimensional Data Modeling For Location-Based Services

    DEFF Research Database (Denmark)

    Jensen, Christian Søndergaard; Kligys, Augustas; Pedersen, Torben Bach

    2004-01-01

    With the recent and continuing advances in areas such as wireless communications and positioning technologies, mobile, location-based services are becoming possible. Such services deliver location-dependent content to their users. More specifically, these services may capture the movements...... and requests of their users in multidimensional databases, i.e., data warehouses, and content delivery may be based on the results of complex queries on these data warehouses. Such queries aggregate detailed data in order to find useful patterns, e.g., in the interaction of a particular user with the services....... The application of multidimensional technology in this context poses a range of new challenges. The specific challenge addressed here concerns the provision of an appropriate multidimensional data model. In particular, the paper extends an existing multidimensional data model and algebraic query language...

  14. Multidimensional Data Modeling For Location-Based Services

    DEFF Research Database (Denmark)

    Jensen, Christian Søndergaard; Kligys, A.; Pedersen, Torben Bach

    2003-01-01

    With the recent and continuing advances in areas such as wireless communications and positioning technologies, mobile, location-based services are becoming possible. Such services deliver location-dependent content to their users. More specifically, these services may capture the movements...... and requests of their users in multidimensional databases, i.e., data warehouses; and content delivery may be based on the results of complex queries on these data warehouses. Such queries aggregate detailed data in order to find useful patterns, e.g., in the interaction of a particular user with the services....... The application of multidimensional technology in this context poses a range of new challenges. The specific challenge addressed here concerns the provision of an appropriate multidimensional data model. In particular, the paper extends an existing multidimensional data model and algebraic query language...

  15. Necessary Conditions for Discontinuities of Multidimensional Size Functions

    CERN Document Server

    Cerri, Andrea

    2008-01-01

    Some new results about multidimensional topological persistence are presented, proving that the discontinuity points of a k-dimensional size function are necessarily related to the pseudocritical values of the associated measuring function.

  16. Multidimensional Coded Modulation in Block-Fading Channnels

    CERN Document Server

    Fabregas, Albert Guillen i

    2007-01-01

    We study the problem of constructing coded modulation schemes over multidimensional signal sets in Nakagami-$m$ block-fading channels. In particular, we consider the optimal diversity reliability exponent of the error probability when the multidimensional constellation is obtained as the rotation of classical complex-plane signal constellations. We show that multidimensional rotations of full dimension achieve the optimal diversity reliability exponent, also achieved by Gaussian constellations. Multidimensional rotations of full dimension induce a large decoding complexity, and in some cases it might be beneficial to use multiple rotations of smaller dimension. We also study the diversity reliability exponent in this case, which yields the optimal rate-diversity-complexity tradeoff in block-fading channels with discrete inputs.

  17. On exact solutions in multidimensional gravity with antisymmetric forms

    CERN Document Server

    Ivashchuk, V D

    2001-01-01

    This short review deals with a multidimensional gravitational model containing dilatonic scalar fields and antisymmetric forms. The manifold is chosen in the product form. The sigma-model approach and exact solutions are reviewed.

  18. Stability and Existence of Multidimensional Subsonic Phase Transitions

    Institute of Scientific and Technical Information of China (English)

    Ya-Guang Wang; Zhouping Xin

    2003-01-01

    The purpose of this paper is to prove the uniform stability of multidimensional subsonic phase transitions satisfying the viscosity-capillarity criterion in a van der Waals fluid, and further to establish the local existence of phase transition solutions.

  19. Multidimensional Attitudes of Emergency Medicine Residents Toward Older Adults

    Directory of Open Access Journals (Sweden)

    Teresita M. Hogan

    2014-07-01

    Full Text Available Introduction: The demands of our rapidly expanding older population strain many emergency departments (EDs, and older patients experience disproportionately high adverse health outcomes. Trainee attitude is key in improving care for older adults. There is negligible knowledge of baseline emergency medicine (EM resident attitudes regarding elder patients. Awareness of baseline attitudes can serve to better structure training for improved care of older adults. The objective of the study is to identify baseline EM resident attitudes toward older adults using a validated attitude scale and multidimensional analysis. Methods: Six EM residencies participated in a voluntary anonymous survey delivered in summer and fall 2009. We used factor analysis using the principal components method and Varimax rotation, to analyze attitude interdependence, translating the 21 survey questions into 6 independent dimensions. We adapted this survey from a validated instrument by the addition of 7 EM-specific questions to measures attitudes relevant to emergency care of elders and the training of EM residents in the geriatric competencies. Scoring was performed on a 5-point Likert scale. We compared factor scores using student t and ANOVA. Results: 173 EM residents participated showing an overall positive attitude toward older adults, with a factor score of 3.79 (3.0 being a neutral score. Attitudes trended to more negative in successive post-graduate year (PGY levels. Conclusion: EM residents demonstrate an overall positive attitude towards the care of older adults. We noted a longitudinal hardening of attitude in social values, which are more negative in successive PGY-year levels. [West J Emerg Med. 2014;15(4:511–517.

  20. Multidimensional Poverty Measurement in Pakistan: Time Series Trends and Breakdown

    OpenAIRE

    Taseer Salahuddin; Asad Zaman

    2012-01-01

    Traditionally poverty has been understood only as ‘lack of income’. However, with the passage of time it was realised that poverty is a complex and multidimensional phenomenon. Mahboob-ul-Haq (1973) and Sen (1975) argued that development is about enlarging human capabilities, rather than only acquisition of wealth. The purpose of this research is to argue that poverty being multidimensional in nature, cannot be properly measured by unidimensional (income or calorie based) poverty measures. Th...

  1. Integral and Multidimensional Linear Distinguishers with Correlation Zero

    DEFF Research Database (Denmark)

    Bogdanov, Andrey; Leander, Gregor; Nyberg, Kaisa

    2012-01-01

    Zero-correlation cryptanalysis uses linear approximations holding with probability exactly 1/2. In this paper, we reveal fundamental links of zero-correlation distinguishers to integral distinguishers and multidimensional linear distinguishers. We show that an integral implies zero-correlation li......Zero-correlation cryptanalysis uses linear approximations holding with probability exactly 1/2. In this paper, we reveal fundamental links of zero-correlation distinguishers to integral distinguishers and multidimensional linear distinguishers. We show that an integral implies zero...

  2. Multidimensional first-order dominance comparisons of population wellbeing

    DEFF Research Database (Denmark)

    Arndt, Thomas Channing; Siersbæk, Nikolaj; Østerdal, Lars Peter Raahave

    In this paper, we convey the concept of first-order dominance (FOD) with particular focus on applications to multidimensional population welfare comparisons. We give an account of the fundamental equivalent definitions of FOD, illustrated with simple numerical examples. An implementable method...... for detecting dominances is explained along with a bootstrapping procedure that yields additional information relative to what can be obtained from dominance comparisons alone. We discuss strengths and weaknesses of FOD, compared to other multidimensional population comparison concepts, and describe practical...

  3. Multidimensional First-Order Dominance Comparisons of Population Wellbeing

    DEFF Research Database (Denmark)

    Siersbæk, Nikolaj; Østerdal, Lars Peter; Arndt, Channing

    2017-01-01

    This chapter conveys the concept of first-order dominance (FOD) with particular focus on applications to multidimensional population welfare comparisons. It gives an account of the fundamental equivalent definitions of FOD both in the one-dimensional and multidimensional setting, illustrated...... with simple numerical examples. An implementable method for detecting dominances that relies on linear programming is explained along with a bootstrapping procedure that yields additional information relative to what can be obtained from dominance comparisons alone. The chapter discusses strengths...

  4. Poverty Analysis of Rice Farming Households: A Multidimensional Approach

    Directory of Open Access Journals (Sweden)

    Adenuga A. H

    2013-12-01

    Full Text Available The official measurement and analysis of poverty in Nigeria has historically relied upon the single dimension, consumption based monetary approach with little attention on multidimensional poverty assessment. This study was therefore carried out to assess the multidimensional poverty index of rice farming households in Nasarawa/Benue Rice Hub, Nigeria. The study employed stratified random sampling technique to select 149 rice farming households in the study area. Descriptive statistics, the Alkire and Foster Multidimensional Poverty Index Methodology using two different cut-off points and the Tobit regression model were the main analytical tools employed for the study. The results of the multidimensional poverty index analysis revealed that female headed households were poorer than the male headed households. On the overall, 66 percent of the rice farming households was multidimensionally poor. The study also showed that the rice farming households were deprived in 48 percent of the dimensions. A multidimensional poverty index of 0.32 was obtained for the rice farming households in the study area with varying values obtained for the male and female headed households. The result of the Tobit regression model showed that gender of the household head, health, marital status and membership of association were the major determinants of multidimensional poverty of the rice farming households in the study area. The study concluded that the rice farming households in the study area were multidimensionally poor. It was recommended that the government should give priorities to the development of the rural areas with special consideration for women through the provision of essential infrastructural facilities.

  5. Visualizing Mixed Variable-Type Multidimensional Data Using Tree Distances

    Science.gov (United States)

    2015-09-01

    VARIABLE-TYPE MULTIDIMENSIONAL DATA USING TREE DISTANCES by Yoav Shaham September 2015 Thesis Advisor: Lyn R. Whitaker Second Reader...TYPE AND DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE VISUALIZING MIXED VARIABLE-TYPE MULTIDIMENSIONAL DATA USING TREE DISTANCES 5...public release; distribution is unlimited 12b. DISTRIBUTION CODE 13. ABSTRACT (maximum 200 words) This research explores the use of the tree

  6. The multidimensional measurement of poverty: a fuzzy set approach

    Directory of Open Access Journals (Sweden)

    Michele Costa

    2013-05-01

    Full Text Available By using fuzzy set theory a multidimensional analysis of poverty of Italian households is performed on the basis of SHIW data. A set of composite indicators is constructed in order to analyze different dimensions of poverty. For each indicator is calculated an unidimensional poverty ratio, thus allowing a comparison among indicators on the dimensions of poverty. Finally, a multidimensional poverty ratio is obtained.

  7. Psychometric Characteristics of the UCLA Loneliness Scale: A Study with Iranian College Students.

    Science.gov (United States)

    Hojat, Mohammadreza

    1982-01-01

    The psychometric characteristics of the revised UCLA Loneliness Scale in Iranian groups correlated significantly with measures of other conceptually-related variables such as depression, anxiety, and neuroticism. Factorial structure supported the multidimensionality of the scale. (Author/PN)

  8. Psychometric Characteristics of the UCLA Loneliness Scale: A Study with Iranian College Students.

    Science.gov (United States)

    Hojat, Mohammadreza

    1982-01-01

    The psychometric characteristics of the revised UCLA Loneliness Scale in Iranian groups correlated significantly with measures of other conceptually-related variables such as depression, anxiety, and neuroticism. Factorial structure supported the multidimensionality of the scale. (Author/PN)

  9. Imaging Multidimensional Therapeutically Relevant Circadian Relationships

    Directory of Open Access Journals (Sweden)

    Jamil Singletary

    2009-01-01

    Full Text Available Circadian clocks gate cellular proliferation and, thereby, therapeutically target availability within proliferative pathways. This temporal coordination occurs within both cancerous and noncancerous proliferating tissues. The timing within the circadian cycle of the administration of drugs targeting proliferative pathways necessarily impacts the amount of damage done to proliferating tissues and cancers. Concurrently measuring target levels and associated key pathway components in normal and malignant tissues around the circadian clock provides a path toward a fuller understanding of the temporal relationships among the physiologic processes governing the therapeutic index of antiproliferative anticancer therapies. The temporal ordering among these relationships, paramount to determining causation, is less well understood using two- or three-dimensional representations. We have created multidimensional multimedia depictions of the temporal unfolding of putatively causative and the resultant therapeutic effects of a drug that specifically targets these ordered processes at specific times of the day. The systems and methods used to create these depictions are provided, as well as three example supplementary movies.

  10. XLDM: AN XLINK-BASED MULTIDIMENSIONAL METAMODEL

    Directory of Open Access Journals (Sweden)

    Paulo Caetano da Silva

    2011-12-01

    Full Text Available The growth of data available on the Internet and the improvement of ways to handle them consist of an important issue while designing a data model. In this context, XML provides the necessary formalism to establish a standard to represent and exchange data. Since the technologies of data warehouse are often used for data analysis, it is necessary to define a cube model data to XML. However, data representation in XML may generate syntactic, semantic and structural heterogeneity problems on XML documents, which are not considered by related approaches. To solve these problems, it is required the definition of a data schema. This paper proposes a metamodel to specify XML document cubes, based on relationships between elements and XML documents. This approach solves the XML data heterogeneity problems by taking advantages of data schema definition and relationships defined by XLink. The methodology used provides formal rules to define the concepts proposed. Following this formalism is then instantiated using XML Schema and XLink. It also presents a case study in the medical field and a comparison with XBRL Dimensions and a financial and multidimensional data model which uses XLink

  11. When is multidimensional screening a convex program?

    CERN Document Server

    Figalli, Alessio; McCann, Robert J

    2009-01-01

    A principal wishes to transact business with a multidimensional distribution of agents whose preferences are known only in the aggregate. Assuming a twist (= generalized Spence-Mirrlees single-crossing) hypothesis and that agents can choose only pure strategies, we identify a structural condition on the preference b(x,y) of agent type x for product type y -- and on the principal's costs c(y) -- which is necessary and sufficient for reducing the profit maximization problem faced by the principal to a convex program. This is a key step toward making the principal's problem theoretically and computationally tractable; in particular, it allows us to derive uniqueness and stability of the principal's optimum strategy -- and similarly of the strategy maximizing the expected welfare of the agents when the principal's profitability is constrained. We call this condition non-negative cross-curvature: it is also (i) necessary and sufficient to guarantee convexity of the set of b-convex functions, (ii) invariant under r...

  12. Multidimensional views on mobile call network

    Institute of Scientific and Technical Information of China (English)

    Shengqi YANG; Bin WU; Bai WANG

    2009-01-01

    Recent studies on social network have spurred significant interests in human behaviors. Nowadays, various kinds of interpersonal human interactions, from mobile calls to emalls, provide particular avenues to explore the inher-ent properties of communication patterns. In this article, we present a comprehensive study on a massive anonymous call records obtained from a major mobile service operator. The important difference laid in our work and previous mainly topological analyses is that we report on multiple aspects of the dataset. By investigating the calls of the users, we find out that most calls tend to last within one minute. Call du-ration between two females is much longer than that of two males. But calls of males generally involve more stations than that of female, indicating a larger mobile range of the males. We also observed that people tend to communicate more with each other when they share similar characters. Besides, the network is well-connected and robust to random attack. We also demonstrate that the close-knit sub-groups with little discrepancy in the characteristics of its involved users usually evoke more calls. Another interesting discov-ery is that call behaviors among people between workdays and weekends is obviously distinct. Generally speaking, the goal that we research on call network through multidimen-sional analyses is to uncover the intricate patterns of human communications and put up reasonable insights into future service intelligence.

  13. Indexación multidimensional configurable

    Directory of Open Access Journals (Sweden)

    José L. Zechinelli M.

    2004-01-01

    Full Text Available Existe una gran cantidad de métodos de indexado para datos multidimensionales. La idea fundamental de éstos es generar estructuras dinámicas para organizar objetos complejos, de tal manera que se puedan consultar de forma rápida y efectiva. Aunque existen taxonomías que definen las propiedades de cada método de indexado. A un usuario no experto le es difícil decidir cuál método podría ser apropiado para un conjunto particular de datos. En este artículo describimos la arquitectura de un framework el cual ofrece herramientas de análisis e implementación de diversos métodos de indexado multidimensional y que ayuda a un usuario a determinar el método más adecuado, para un conjunto de datos. Además se analizan ciertas propiedades de los mismos y el tipo de consultas que se llevarán a cabo en ellos.

  14. Multidimensional thermal-chemical cookoff modeling

    Energy Technology Data Exchange (ETDEWEB)

    Baer, M.R.; Gross, R.J.; Gartling, D.K.; Hobbs, M.L.

    1994-08-01

    Multidimensional thermal/chemical modeling is an essential step in the development of a predictive capability for cookoff of energetic materials in systems subjected to abnormal thermal environments. COYOTE II is a state-of-the-art two- and three-dimensional finite element code for the solution of heat conduction problems including surface-to-surface thermal radiation heat transfer and decomposition chemistry. Multistep finite rate chemistry is incorporated into COYOTE II using an operator-splitting methodology; rate equations are solved element-by-element with a modified matrix-free stiff solver, CHEMEQ. COYOTE II is purposely designed with a user-oriented input structure compatible with the database, the pre-processing mesh generation, and the post-processing tools for data visualization shared with other engineering analysis codes available at Sandia National Laboratories. As demonstrated in a companion paper, decomposition during cookoff in a confined or semi-confined system leads to significant mechanical behavior. Although mechanical effect are not presently considered in COYOTE II, the formalism for including mechanics in multidimensions is under development.

  15. Multi-dimensional Analysis for SLB Transient in ATLAS Facility as Activity of DSP (Domestic Standard Problem)

    Energy Technology Data Exchange (ETDEWEB)

    Bae, B. U.; Park, Y. S.; Kim, J. R.; Kang, K. H.; Choi, K. Y. [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of); Sung, H. J. [KEPCO-NF, Daejeon (Korea, Republic of); Hwang, M. J. [E and 2T, Daejeon (Korea, Republic of); Kang, D. H. [SenTECH, Daejeon (Korea, Republic of); Lim, S. G. [KHNP CRI, Daejeon (Korea, Republic of); Jun, S. S. [FNC, Daejeon (Korea, Republic of)

    2015-10-15

    Participants of DSP-03 were divided in three groups and each group has focused on the specific subject related to the enhancement of the code analysis. The group A tried to investigate scaling capability of ATLAS test data by comparing to the code analysis for a prototype, and the group C studied to investigate effect of various models in the one-dimensional codes. This paper briefly summarizes the code analysis result from the group B participants in the DSP-03 of the ATLAS test facility. The code analysis by Group B focuses highly on investigating the multi-dimensional thermal hydraulic phenomena in the ATLAS facility during the SLB transient. Even though the one-dimensional system analysis code cannot simulate the whole system of the ATLAS facility with a nodalization of the CFD (Computational Fluid Dynamics) scale, a reactor pressure vessel can be considered with multi-dimensional components to reflect the thermal mixing phenomena inside a downcomer and a core. Also, the CFD could give useful information for understanding complex phenomena in specific components such as the reactor pressure vessel. From the analysis activity of Group B in ATLAS DSP-03, participants adopted a multi-dimensional approach to the code analysis for the SLB transient in the ATLAS test facility. The main purpose of the analysis was to investigate prediction capability of multi-dimensional analysis tools for the SLB experiment result. In particular, the asymmetric cooling and thermal mixing phenomena in the reactor pressure vessel could be significantly focused for modeling the multi-dimensional components.

  16. Billiard representation for multidimensional multi-scalar cosmological model with exponential potentials

    CERN Document Server

    Dehnen, H; Melnikov, V N

    2003-01-01

    Multidimensional cosmological-type model with n Einstein factor spaces in the theory with l scalar fields and multiple exponential potential is considered. The dynamics of the model near the singularity is reduced to a billiard on the (N-1)-dimensional Lobachevsky space H^{N-1}, N = n+l. It is shown that for n > 1 the oscillating behaviour near the singularity is absent and solutions have an asymptotical Kasner-like behavior. For the case of one scale factor (n =1) billiards with finite volumes (e.g. coinciding with that of the Bianchi-IX model) are described and oscillating behaviour of scalar fields near the singularity is obtained.

  17. Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data.

    Science.gov (United States)

    Rübel, Oliver; Ahern, Sean; Bethel, E Wes; Biggin, Mark D; Childs, Hank; Cormier-Michel, Estelle; Depace, Angela; Eisen, Michael B; Fowlkes, Charless C; Geddes, Cameron G R; Hagen, Hans; Hamann, Bernd; Huang, Min-Yu; Keränen, Soile V E; Knowles, David W; Hendriks, Cris L Luengo; Malik, Jitendra; Meredith, Jeremy; Messmer, Peter; Prabhat; Ushizima, Daniela; Weber, Gunther H; Wu, Kesheng

    2010-05-01

    Knowledge discovery from large and complex scientific data is a challenging task. With the ability to measure and simulate more processes at increasingly finer spatial and temporal scales, the growing number of data dimensions and data objects presents tremendous challenges for effective data analysis and data exploration methods and tools. The combination and close integration of methods from scientific visualization, information visualization, automated data analysis, and other enabling technologies -such as efficient data management- supports knowledge discovery from multi-dimensional scientific data. This paper surveys two distinct applications in developmental biology and accelerator physics, illustrating the effectiveness of the described approach.

  18. Coupling Visualization and Data Analysis for Knowledge Discovery from Multi-dimensional Scientific Data

    Energy Technology Data Exchange (ETDEWEB)

    Rubel, Oliver; Ahern, Sean; Bethel, E. Wes; Biggin, Mark D.; Childs, Hank; Cormier-Michel, Estelle; DePace, Angela; Eisen, Michael B.; Fowlkes, Charless C.; Geddes, Cameron G. R.; Hagen, Hans; Hamann, Bernd; Huang, Min-Yu; Keranen, Soile V. E.; Knowles, David W.; Hendriks, Chris L. Luengo; Malik, Jitendra; Meredith, Jeremy; Messmer, Peter; Prabhat,; Ushizima, Daniela; Weber, Gunther H.; Wu, Kesheng

    2010-06-08

    Knowledge discovery from large and complex scientific data is a challenging task. With the ability to measure and simulate more processes at increasingly finer spatial and temporal scales, the growing number of data dimensions and data objects presents tremendous challenges for effective data analysis and data exploration methods and tools. The combination and close integration of methods from scientific visualization, information visualization, automated data analysis, and other enabling technologies"such as efficient data management" supports knowledge discovery from multi-dimensional scientific data. This paper surveys two distinct applications in developmental biology and accelerator physics, illustrating the effectiveness of the described approach.

  19. Coupling visualization and data analysis for knowledge discovery from multi-dimensional scientific data

    Science.gov (United States)

    Rübel, Oliver; Ahern, Sean; Bethel, E. Wes; Biggin, Mark D.; Childs, Hank; Cormier-Michel, Estelle; DePace, Angela; Eisen, Michael B.; Fowlkes, Charless C.; Geddes, Cameron G. R.; Hagen, Hans; Hamann, Bernd; Huang, Min-Yu; Keränen, Soile V. E.; Knowles, David W.; Hendriks, Cris L. Luengo; Malik, Jitendra; Meredith, Jeremy; Messmer, Peter; Prabhat; Ushizima, Daniela; Weber, Gunther H.; Wu, Kesheng

    2013-01-01

    Knowledge discovery from large and complex scientific data is a challenging task. With the ability to measure and simulate more processes at increasingly finer spatial and temporal scales, the growing number of data dimensions and data objects presents tremendous challenges for effective data analysis and data exploration methods and tools. The combination and close integration of methods from scientific visualization, information visualization, automated data analysis, and other enabling technologies —such as efficient data management— supports knowledge discovery from multi-dimensional scientific data. This paper surveys two distinct applications in developmental biology and accelerator physics, illustrating the effectiveness of the described approach. PMID:23762211

  20. An Entrepreneurial Self-Efficacy Scale with a Neutral Wording

    DEFF Research Database (Denmark)

    Moberg, Kåre

    In this book chapter I present a multidimensional entrepreneurial self-efficacy (ESE) scale. The scale builds on three established ESE-scales, but the reliability of it is improved compared to the original three scales as the highly discipline-specific jargon is transformed to a more neutral...

  1. The measurement of fatigue in chronic illness: a systematic review of unidimensional and multidimensional fatigue measures.

    Science.gov (United States)

    Whitehead, Lisa

    2009-01-01

    Fatigue is a common symptom associated with a wide range of chronic diseases. A large number of instruments have been developed to measure fatigue. An assessment regarding the reliability, validity, and utility of fatigue measures is time-consuming for the clinician and researcher, and few reviews exist on which to draw such information. The aim of this article is to present a critical review of fatigue measures, the populations in which the scales have been used, and the extent to which the psychometric properties of each instrument have been evaluated to provide clinicians and researchers with information on which to base decisions. Seven databases were searched for all articles that measured fatigue and offered an insight into the psychometric properties of the scales used over the period 1980-2007. Criteria for judging the "ideal" measure were developed to encompass scale usability, clinical/research utility, and the robustness of psychometric properties. Twenty-two fatigue measures met the inclusion criteria and were evaluated. A further 17 measures met some of the criteria, but have not been tested beyond initial development, and are reviewed briefly at the end of the article. The review did not identify any instrument that met all the criteria of an ideal instrument. However, a small number of short instruments demonstrated good psychometric properties (Fatigue Severity Scale [FSS], Fatigue Impact Scale [FIS], and Brief Fatigue Inventory [BFI]), and three comprehensive instruments demonstrated the same (Fatigue Symptom Inventory [FSI], Multidimensional Assessment of Fatigue [MAF], and Multidimensional Fatigue Symptom Inventory [MFSI]). Only four measures (BFI, FSS, FSI, and MAF) demonstrated the ability to detect change over time. The clinician and researcher also should consider the populations in which the scale has been used previously to assess its validity with their own patient group, and assess the content of a scale to ensure that the key qualitative

  2. Phrase Completions: An Alternative to Likert Scales.

    Science.gov (United States)

    Hodge, David R.; Gillespie, David

    2003-01-01

    Delineates the problems with Likert scales, with a particular emphasis on multidimensionality and coarse response categories, and proposes a new measurement method called "phrase completions," which has been designed to circumvent the problems inherent in Likert scales. Also conducts an exploratory test, in which Likert items were adapted to…

  3. Multidimensional Convergence in Future 5G Networks

    Science.gov (United States)

    Ruffini, Marco

    2017-02-01

    Future 5G services are characterised by unprecedented need for high rate, ubiquitous availability, ultra-low latency and high reliability. The fragmented network view that is widespread in current networks will not stand the challenge posed by next generations of users. A new vision is required, and this paper provides an insight on how network convergence and application-centric approaches will play a leading role towards enabling the 5G vision. The paper, after expressing the view on the need for an end-to-end approach to network design, brings the reader into a journey on the expected 5G network requirements and outlines some of the work currently carried out by main standardisation bodies. It then proposes the use of the concept of network convergence for providing the overall architectural framework to bring together all the different technologies within a unifying and coherent network ecosystem. The novel interpretation of multi-dimensional convergence we introduce leads us to the exploration of aspects of node consolidation and converged network architectures, delving into details of optical-wireless integration and future convergence of optical data centre and access-metro networks. We then discuss how ownership models enabling network sharing will be instrumental in realising the 5G vision. The paper concludes with final remarks on the role SDN will play in 5G and on the need for new business models that reflect the application-centric view of the network. Finally, we provide some insight on growing research areas in 5G networking.

  4. Multidimensional seismic data reconstruction using tensor analysis

    Science.gov (United States)

    Kreimer, Nadia

    Exploration seismology utilizes the seismic wavefield for prospecting oil and gas. The seismic reflection experiment consists on deploying sources and receivers in the surface of an area of interest. When the sources are activated, the receivers measure the wavefield that is reflected from different subsurface interfaces and store the information as time-series called traces or seismograms. The seismic data depend on two source coordinates, two receiver coordinates and time (a 5D volume). Obstacles in the field, logistical and economical factors constrain seismic data acquisition. Therefore, the wavefield sampling is incomplete in the four spatial dimensions. Seismic data undergoes different processes. In particular, the reconstruction process is responsible for correcting sampling irregularities of the seismic wavefield. This thesis focuses on the development of new methodologies for the reconstruction of multidimensional seismic data. This thesis examines techniques based on tensor algebra and proposes three methods that exploit the tensor nature of the seismic data. The fully sampled volume is low-rank in the frequency-space domain. The rank increases when we have missing traces and/or noise. The methods proposed perform rank reduction on frequency slices of the 4D spatial volume. The first method employs the Higher-Order Singular Value Decomposition (HOSVD) immersed in an iterative algorithm that reinserts weighted observations. The second method uses a sequential truncated SVD on the unfoldings of the tensor slices (SEQ-SVD). The third method formulates the rank reduction problem as a convex optimization problem. The measure of the rank is replaced by the nuclear norm of the tensor and the alternating direction method of multipliers (ADMM) minimizes the cost function. All three methods have the interesting property that they are robust to curvature of the reflections, unlike many reconstruction methods. Finally, we present a comparison between the methods

  5. A comparison between uni- and multidimensional frailty measures: prevalence, functional status, and relationships with disability

    Directory of Open Access Journals (Sweden)

    Roppolo M

    2015-10-01

    Full Text Available Mattia Roppolo,1,2 Anna Mulasso,1 Robbert J Gobbens,3,4 Cristina O Mosso,1 Emanuela Rabaglietti1 1Department of Psychology, University of Torino, Torino, Italy; 2Department of Developmental Psychology, Rijksuniversiteit Groningen, Groningen, the Netherlands; 3Faculty of Health, Sports and Social Work, Inholland University of Applied Sciences, Amsterdam, the Netherlands; 4Zonnehuisgroep Amstelland, Amstelveen, the Netherlands Background: Over the years, a plethora of frailty assessment tools has been developed. These instruments can be basically grouped into two types of conceptualizations – unidimensional, based on the physical–biological dimension – and multidimensional, based on the connections among the physical, psychological, and social domains. At present, studies on the comparison between uni- and multidimensional frailty measures are limited.Objective: The aims of this paper were: 1 to compare the prevalence of frailty obtained using a uni- and a multidimensional measure; 2 to analyze differences in the functional status among individuals captured as frail or robust by the two measures; and 3 to investigate relations between the two frailty measures and disability.Methods: Two hundred and sixty-seven community-dwelling older adults (73.4±6 years old, 59.9% of women participated in this cross-sectional study. The Cardiovascular Health Study (CHS index and the Tilburg Frailty Indicator (TFI were used to measure frailty in a uni- and multidimensional way, respectively. The International Physical Activity Questionnaire, the Center of Epidemiologic Studies Depression scale, and the Loneliness Scale were administered to evaluate the functional status. Disability was assessed using the Groningen Activity Restriction Scale. Data were treated with descriptive statistics, one-way analysis of variance, correlations, and receiver operating characteristic analyses through the evaluation of the areas under the curve.Results: Results showed that

  6. Multi-dimensional discovery of biomarker and phenotype complexes

    Directory of Open Access Journals (Sweden)

    Huang Kun

    2010-10-01

    Full Text Available Abstract Background Given the rapid growth of translational research and personalized healthcare paradigms, the ability to relate and reason upon networks of bio-molecular and phenotypic variables at various levels of granularity in order to diagnose, stage and plan treatments for disease states is highly desirable. Numerous techniques exist that can be used to develop networks of co-expressed or otherwise related genes and clinical features. Such techniques can also be used to create formalized knowledge collections based upon the information incumbent to ontologies and domain literature. However, reports of integrative approaches that bridge such networks to create systems-level models of disease or wellness are notably lacking in the contemporary literature. Results In response to the preceding gap in knowledge and practice, we report upon a prototypical series of experiments that utilize multi-modal approaches to network induction. These experiments are intended to elicit meaningful and significant biomarker-phenotype complexes spanning multiple levels of granularity. This work has been performed in the experimental context of a large-scale clinical and basic science data repository maintained by the National Cancer Institute (NCI funded Chronic Lymphocytic Leukemia Research Consortium. Conclusions Our results indicate that it is computationally tractable to link orthogonal networks of genes, clinical features, and conceptual knowledge to create multi-dimensional models of interrelated biomarkers and phenotypes. Further, our results indicate that such systems-level models contain interrelated bio-molecular and clinical markers capable of supporting hypothesis discovery and testing. Based on such findings, we propose a conceptual model intended to inform the cross-linkage of the results of such methods. This model has as its aim the identification of novel and knowledge-anchored biomarker-phenotype complexes.

  7. Non-metric fluid dynamics and cosmology on Finsler spacetimes

    CERN Document Server

    Hohmann, Manuel

    2016-01-01

    We generalize the kinetic theory of fluids, in which the description of fluids is based on the geodesic motion of particles, to spacetimes modeled by Finsler geometry. Our results show that Finsler spacetimes are a suitable background for fluid dynamics and that the equation of motion for a collisionless fluid is given by the Liouville equation, as it is also the case for a metric background geometry. We finally apply this model to collisionless dust and a general fluid with cosmological symmetry and derive the corresponding equations of motion. It turns out that the equation of motion for a dust fluid is a simple generalization of the well-known Euler equations.

  8. [Multidimensional measurement of precarious employment: social distribution and its association with health in Catalonia (Spain)].

    Science.gov (United States)

    Benach, Joan; Julià, Mireia; Tarafa, Gemma; Mir, Jordi; Molinero, Emilia; Vives, Alejandra

    2015-01-01

    To show the prevalence of precarious employment in Catalonia (Spain) for the first time and its association with mental and self-rated health, measured with a multidimensional scale. A cross-sectional study was conducted using data from the II Catalan Working Conditions Survey (2010) with a subsample of employed workers with a contract. The prevalence of precarious employment using a multidimensional scale and its association with health was calculated using multivariate log-binomial regression stratified by gender. The prevalence of precarious employment in Catalonia was high (42.6%). We found higher precariousness in women, youth, immigrants, and manual and less educated workers. There was a positive gradient in the association between precarious employment and poor health. Precarious employment is associated with poor health in the working population. Working conditions surveys should include questions on precarious employment and health indicators, which would allow monitoring and subsequent analyses of health inequalities. Copyright © 2015 SESPAS. Published by Elsevier Espana. All rights reserved.

  9. Study of a model equation in detonation theory: multidimensional effects

    CERN Document Server

    Faria, Luiz M; Rosales, Rodolfo R

    2015-01-01

    We extend the reactive Burgers equation presented in Kasimov et al. Phys. Rev. Lett., 110 (2013) and Faria et al. SIAM J. Appl. Maths, 74 (2014), to include multidimensional effects. Furthermore, we explain how the model can be rationally justified following the ideas of the asymptotic theory developed in Faria et al. JFM (2015). The proposed model is a forced version of the unsteady small disturbance transonic flow equations. We show that for physically reasonable choices of forcing functions, traveling wave solutions akin to detonation waves exist. It is demonstrated that multidimensional effects play an important role in the stability and dynamics of the traveling waves. Numerical simulations indicate that solutions of the model tend to form multi-dimensional patterns analogous to cells in gaseous detonations.

  10. The acquisition of multidimensional NMR spectra within a single scan

    Science.gov (United States)

    Frydman, Lucio; Scherf, Tali; Lupulescu, Adonis

    2002-01-01

    A scheme enabling the complete sampling of multidimensional NMR domains within a single continuous acquisition is introduced and exemplified. Provided that an analyte's signal is sufficiently strong, the acquisition time of multidimensional NMR experiments can thus be shortened by orders of magnitude. This could enable the characterization of transient events such as proteins folding, 2D NMR experiments on samples being chromatographed, bring the duration of higher dimensional experiments (e.g., 4D NMR) into the lifetime of most proteins under physiological conditions, and facilitate the incorporation of spectroscopic 2D sequences into in vivo imaging investigations. The protocol is compatible with existing multidimensional pulse sequences and can be implemented by using conventional hardware; its performance is exemplified here with a variety of homonuclear 2D NMR acquisitions. PMID:12461169

  11. Multi-dimensional sparse time series: feature extraction

    CERN Document Server

    Franciosi, Marco

    2008-01-01

    We show an analysis of multi-dimensional time series via entropy and statistical linguistic techniques. We define three markers encoding the behavior of the series, after it has been translated into a multi-dimensional symbolic sequence. The leading component and the trend of the series with respect to a mobile window analysis result from the entropy analysis and label the dynamical evolution of the series. The diversification formalizes the differentiation in the use of recurrent patterns, from a Zipf law point of view. These markers are the starting point of further analysis such as classification or clustering of large database of multi-dimensional time series, prediction of future behavior and attribution of new data. We also present an application to economic data. We deal with measurements of money investments of some business companies in advertising market for different media sources.

  12. Multidimensional poverty: an alternative measurement approach for the United States?

    Science.gov (United States)

    Waglé, Udaya R

    2008-06-01

    International poverty research has increasingly underscored the need to use multidimensional approaches to measure poverty. Largely embraced in Europe and elsewhere, this has not had much impact on the way poverty is measured in the United States. In this paper, I use a comprehensive multidimensional framework including economic well-being, capability, and social inclusion to examine poverty in the US. Data from the 2004 General Social Survey support the interconnectedness among these poverty dimensions, indicating that the multidimensional framework utilizing a comprehensive set of information provides a compelling value added to poverty measurement. The suggested demographic characteristics of the various categories of the poor are somewhat similar between this approach and other traditional approaches. But the more comprehensive and accurate measurement outcomes from this approach help policymakers target resources at the specific groups.

  13. A CONCEPTUAL TRAJECTORY MULTIDIMENSIONAL MODEL: AN APPLICATION TO PUBLIC TRANSPORTATION

    Directory of Open Access Journals (Sweden)

    FRANCISCO MORENO

    2011-01-01

    Full Text Available Actualmente, gracias a tecnologías como los sistemas de posicionamiento global y dispositivos móviles provistos de sensores, se puede recopilar una gran cantidad de datos sobre objetos móviles, e.g., datos relacionados con la trayectoria seguida por estos objetos. Por otra parte, las Bodegas de Datos (BDs, usualmente modeladas mediante una vista multidimensional de los datos, son bases de datos especializadas para ayudar en la toma de decisiones. Desafortunadamente, las BDs convencionales ofrecen poco soporte para la gestión de trayectorias. Aunque existen algunas propuestas que tratan con BDs de trayectorias, ninguna de ellas se enfoca en su modelamiento conceptual multidimensional. En este artículo se extiende un modelo conceptual multidimensional espacial donde se incorporan las trayectorias como conceptos de primera clase. Con el fi n de mostrar la conveniencia de la propuesta, se presenta un ejemplo relacionado con transporte público.

  14. Fast Packet Classification Using Multi-Dimensional Encoding

    Science.gov (United States)

    Huang, Chi Jia; Chen, Chien

    Internet routers need to classify incoming packets quickly into flows in order to support features such as Internet security, virtual private networks and Quality of Service (QoS). Packet classification uses information contained in the packet header, and a predefined rule table in the routers. Packet classification of multiple fields is generally a difficult problem. Hence, researchers have proposed various algorithms. This study proposes a multi-dimensional encoding method in which parameters such as the source IP address, destination IP address, source port, destination port and protocol type are placed in a multi-dimensional space. Similar to the previously best known algorithm, i.e., bitmap intersection, multi-dimensional encoding is based on the multi-dimensional range lookup approach, in which rules are divided into several multi-dimensional collision-free rule sets. These sets are then used to form the new coding vector to replace the bit vector of the bitmap intersection algorithm. The average memory storage of this encoding is Θ (L · N · log N) for each dimension, where L denotes the number of collision-free rule sets, and N represents the number of rules. The multi-dimensional encoding practically requires much less memory than bitmap intersection algorithm. Additionally, the computation needed for this encoding is as simple as bitmap intersection algorithm. The low memory requirement of the proposed scheme means that it not only decreases the cost of packet classification engine, but also increases the classification performance, since memory represents the performance bottleneck in the packet classification engine implementation using a network processor.

  15. A scalable pairwise class interaction framework for multidimensional classification

    DEFF Research Database (Denmark)

    Arias, Jacinto; Gámez, Jose A.; Nielsen, Thomas Dyhre;

    2016-01-01

    We present a general framework for multidimensional classification that cap- tures the pairwise interactions between class variables. The pairwise class inter- actions are encoded using a collection of base classifiers (Phase 1), for which the class predictions are combined in a Markov random fie...... of the framework and we test the behavior of the different scalability strategies proposed. A comparison with other state-of-the-art multidimensional classifiers show that the proposed framework either outperforms or is competitive with the tested straw-men methods....

  16. An Algorithm for Mining Multidimensional Fuzzy Association Rules

    CERN Document Server

    Khare, Neelu; Pardasani, K R

    2009-01-01

    Multidimensional association rule mining searches for interesting relationship among the values from different dimensions or attributes in a relational database. In this method the correlation is among set of dimensions i.e., the items forming a rule come from different dimensions. Therefore each dimension should be partitioned at the fuzzy set level. This paper proposes a new algorithm for generating multidimensional association rules by utilizing fuzzy sets. A database consisting of fuzzy transactions, the Apriory property is employed to prune the useless candidates, itemsets.

  17. Multi-dimensional Bin Packing Problems with Guillotine Constraints

    DEFF Research Database (Denmark)

    Amossen, Rasmus Resen; Pisinger, David

    2010-01-01

    parallel straight cuts that can recursively cut the bin into pieces so that each piece contains a box and no box has been intersected by a cut. The unrestricted problem is known to be NP-hard. In this paper we present a generalization of a constructive algorithm for the multi-dimensional bin packing......The problem addressed in this paper is the decision problem of determining if a set of multi-dimensional rectangular boxes can be orthogonally packed into a rectangular bin while satisfying the requirement that the packing should be guillotine cuttable. That is, there should exist a series of face...

  18. Multi-Dimensional Customer Data Analysis in Online Auctions

    Institute of Scientific and Technical Information of China (English)

    LAO Guoling; XIONG Kuan; QIN Zheng

    2007-01-01

    In this paper, we designed a customer-centered data warehouse system with five subjects: listing, bidding, transaction,accounts, and customer contact based on the business process of online auction companies. For each subject, we analyzed its fact indexes and dimensions. Then take transaction subject as example,analyzed the data warehouse model in detail, and got the multi-dimensional analysis structure of transaction subject. At last, using data mining to do customer segmentation, we divided customers into four types: impulse customer, prudent customer, potential customer, and ordinary customer. By the result of multi-dimensional customer data analysis, online auction companies can do more target marketing and increase customer loyalty.

  19. Multi-dimensional Bin Packing Problems with Guillotine Constraints

    DEFF Research Database (Denmark)

    Amossen, Rasmus Resen; Pisinger, David

    2010-01-01

    The problem addressed in this paper is the decision problem of determining if a set of multi-dimensional rectangular boxes can be orthogonally packed into a rectangular bin while satisfying the requirement that the packing should be guillotine cuttable. That is, there should exist a series of face...... parallel straight cuts that can recursively cut the bin into pieces so that each piece contains a box and no box has been intersected by a cut. The unrestricted problem is known to be NP-hard. In this paper we present a generalization of a constructive algorithm for the multi-dimensional bin packing...

  20. Robust control, multidimensional systems and multivariable Nevanlinna-Pick interpolation

    CERN Document Server

    Ball, J A

    2009-01-01

    The connection between the standard $H^\\infty$-problem in control theory and Nevanlinna-Pick interpolation in operator theory was established in the 1980s, and has led to a fruitful cross-pollination between the two fields since. In the meantime, research in $H^\\infty$-control theory has moved on to the study of robust control for systems with structured uncertainties and to various types of multidimensional systems, while Nevanlinna-Pick interpolation theory has moved on independently to a variety of multivariable settings. Here we review these developments and indicate the precise connections which survive in the more general multidimensional/multivariable incarnations of the two theories.

  1. Capturing Complex Multidimensional Data in Location-Based Data Warehouses

    DEFF Research Database (Denmark)

    Timko, Igor; Pedersen, Torben Bach

    2004-01-01

    Motivated by the increasing need to handle complex multidimensional data inlocation-based data warehouses, this paper proposes apowerful data model that is able to capture the complexities of such data. The model provides a foundation for handling complex transportationinfrastructures and the att......Motivated by the increasing need to handle complex multidimensional data inlocation-based data warehouses, this paper proposes apowerful data model that is able to capture the complexities of such data. The model provides a foundation for handling complex transportationinfrastructures...

  2. Modelling of multidimensional quantum systems by the numerical functional integration

    Energy Technology Data Exchange (ETDEWEB)

    Lobanov, Yu.Yu.; Zhidkov, E.P. (Joint Inst. for Nuclear Research, Dubna (USSR)); Shahbagian, R.R. (Yerevan Physics Inst., Erevan (USSR))

    1990-01-01

    The employment of the numerical functional integration for the description of multidimensional systems in quantum and statistical physics is considered. For the multiple functional integrals with respect to Gaussian measures in the full separable metric spaces the new approximation formulas exact on a class of polynomial functionals of a given summary degree are constructed. The use of the formulas is demonstrated on example of computation of the Green function and the ground state energy in multidimensional Calogero model. The comparison of numerical results with the data obtained by the other authors which used the Monte Carlo method combined with iterative algorithms indicates that our formulas provide the higher efficiency of computations.

  3. Multi-dimensional procurement auction under uncertain and asymmetric information

    DEFF Research Database (Denmark)

    Papakonstantinou, Athanasios; Bogetoft, Peter

    2017-01-01

    This article addresses two important issues in public procurement: ex ante uncertainty about the participating agents’ qualities and costs and their strategic behaviour. We present a novel multi-dimensional auction that incentivises agents to make a partial inquiry into the procured task and to h......This article addresses two important issues in public procurement: ex ante uncertainty about the participating agents’ qualities and costs and their strategic behaviour. We present a novel multi-dimensional auction that incentivises agents to make a partial inquiry into the procured task...

  4. Multifunction myoelectric control using multi-dimensional dynamic time warping.

    Science.gov (United States)

    AbdelMaseeh, Meena; Tsu-Wei Chen; Stashuk, Daniel

    2014-01-01

    Myoelectric control can be used for a variety of applications including powered protheses and different human computer interface systems. The aim of this study is to investigate the formulation of myoelectric control as a multi-class distance-based classification of multidimensional sequences. More specifically, we investigate (1) estimation of multi-muscle activation sequences from multi-channel electromyographic signals in an online manner, and (2) classification using a distance metric based on multi-dimensional dynamic time warping. Subject-specific results across 5 subjects executing 10 different hand movements showed an accuracy of 95% using offline extracted trajectories and an accuracy of 84% using online extracted trajectories.

  5. Development of a multi-dimensional measure of resilience in adolescents: the Adolescent Resilience Questionnaire

    Directory of Open Access Journals (Sweden)

    Buzwell Simone

    2011-10-01

    Full Text Available Abstract Background The concept of resilience has captured the imagination of researchers and policy makers over the past two decades. However, despite the ever growing body of resilience research, there is a paucity of relevant, comprehensive measurement tools. In this article, the development of a theoretically based, comprehensive multi-dimensional measure of resilience in adolescents is described. Methods Extensive literature review and focus groups with young people living with chronic illness informed the conceptual development of scales and items. Two sequential rounds of factor and scale analyses were undertaken to revise the conceptually developed scales using data collected from young people living with a chronic illness and a general population sample. Results The revised Adolescent Resilience Questionnaire comprises 93 items and 12 scales measuring resilience factors in the domains of self, family, peer, school and community. All scales have acceptable alpha coefficients. Revised scales closely reflect conceptually developed scales. Conclusions It is proposed that, with further psychometric testing, this new measure of resilience will provide researchers and clinicians with a comprehensive and developmentally appropriate instrument to measure a young person's capacity to achieve positive outcomes despite life stressors.

  6. An Examination of the Relationship of the 16PF Fifth Edition to a Multidimensional Model of Self-Esteem

    Directory of Open Access Journals (Sweden)

    Dale Pietrzak

    2015-10-01

    Full Text Available The regression equation needed to predict the self-esteem score from the Sixteen Personality Factor Questionnaire (16PF Fifth Edition is not available for hand scoring. This score is derived from the Coopersmith’s Self-Esteem Inventory (SEI, which is based on a unitary model of self-esteem. The SEI may be subject to gender and extroversion biases. Moreover, there is a gap in the literature on the 16PF fifth edition and self-esteem. For these reasons, we investigated the relationship of the Culture-Free Self-Esteem Inventory–II Form AD (CFSEI-II, a multidimensional model of self-esteem, using multiple regression to the scales of the 16PF. Based on the adult sample of 234 in this study, we developed and made available to users of the 16PF split sample–validated regression equations for this multidimensional model of self-esteem.

  7. Analysis of local dependence and multidimensionality in graphical loglinear Rasch models

    DEFF Research Database (Denmark)

    Kreiner, Svend; Christensen, Karl Bang

    local independence; multidimensionality, differential item functioning; uniform local dependency and DIF; graphical Rasch models; loglinear Rasch models......local independence; multidimensionality, differential item functioning; uniform local dependency and DIF; graphical Rasch models; loglinear Rasch models...

  8. Analysis of Local Dependence and Multidimensionality in Graphical Loglinear Rasch Models

    DEFF Research Database (Denmark)

    Kreiner, Svend; Christensen, Karl Bang

    2004-01-01

    Local independence; Multidimensionality; Differential item functioning; Uniform local dependence and DIF; Graphical Rasch models; Loglinear Rasch model......Local independence; Multidimensionality; Differential item functioning; Uniform local dependence and DIF; Graphical Rasch models; Loglinear Rasch model...

  9. Overview of marine controlled-source electromagnetic interferometry by multidimensional deconvolution

    NARCIS (Netherlands)

    Hunziker, J.W.; Slob, E.C.; Wapenaar, C.P.A.

    2014-01-01

    Interferometry by multidimensional deconvolution for marine Controlled-Source Electromagnetics can suppress the direct field and the airwave in order to increase the detectability of the reservoir. For monitoring, interferometry by multidimensional deconvolution can increase the source repeatability

  10. Construct Validation of a Multidimensional Computerized Adaptive Test for Fatigue in Rheumatoid Arthritis

    NARCIS (Netherlands)

    Nikolaus, Stephanie; Bode, Christina; Taal, Erik; Vonkeman, Harald E.; Glas, Cees A.W.; Laar, van de Mart A.F.J.

    2015-01-01

    Objective Multidimensional computerized adaptive testing enables precise measurements of patient-reported outcomes at an individual level across different dimensions. This study examined the construct validity of a multidimensional computerized adaptive test (CAT) for fatigue in rheumatoid arthritis

  11. Nomenclatura na língua portuguesa em cromatografia multidimensional abrangente Nomenclature for comprehensive multidimensional chromatography in portuguese language

    Directory of Open Access Journals (Sweden)

    Carin von Mühlen

    2007-06-01

    Full Text Available Comprehensive Multidimensional Chromatography is a relatively new analytic technique, which is receiving growing attention in many parts of the world, including recently in Brazil. This work presents terms in Portuguese which are commonly used in Comprehensive Multidimensional Chromatography in order to help standardize the vocabulary employed in this area in the scientific literature. It also includes some symbols, their nominations, and explanation of some terms, whenever necessary. This proposal does not intend to be comprehensive or definitive; on the contrary, it intends to be a first step in the process of establishing a standardized nomenclature, serving as a base for a further sound discussion in the scientific community realm.

  12. Multidimensional Measurement of Poverty among Women in Sub-Saharan Africa

    Science.gov (United States)

    Batana, Yele Maweki

    2013-01-01

    Since the seminal work of Sen, poverty has been recognized as a multidimensional phenomenon. The recent availability of relevant databases renewed the interest in this approach. This paper estimates multidimensional poverty among women in fourteen Sub-Saharan African countries using the Alkire and Foster multidimensional poverty measures, whose…

  13. Multidimensional Measurement of Poverty among Women in Sub-Saharan Africa

    Science.gov (United States)

    Batana, Yele Maweki

    2013-01-01

    Since the seminal work of Sen, poverty has been recognized as a multidimensional phenomenon. The recent availability of relevant databases renewed the interest in this approach. This paper estimates multidimensional poverty among women in fourteen Sub-Saharan African countries using the Alkire and Foster multidimensional poverty measures, whose…

  14. On-line multidimensional separation systems for peptide analysis

    NARCIS (Netherlands)

    Stroink, T.

    2005-01-01

    Today, there is an increasing interest in selective and sensitive analysis of proteins and peptides with a relatively high speed. The first chapter of this thesis describes several strategies for the on-line multidimensional analysis of peptides and proteins in biological samples. This overview of t

  15. A vector-based, multidimensional scanpath similarity measure

    NARCIS (Netherlands)

    Jarodzka, Halszka; Kenneth, Holmqvist; Marcus, Nyström

    2011-01-01

    Jarodzka, H., Holmqvist, K., & Nyström, M. (2010). A vector-based, multidimensional scanpath similarity measure. In C. Morimoto & H. Instance (Eds.), Proceedings of the 2010 Symposium on Eye Tracking Research & Applications ETRA ’10 (pp. 211-218). New York, NY: ACM.

  16. Multidimensional profiling of cell surface proteins and nuclear markers

    Energy Technology Data Exchange (ETDEWEB)

    Han, Ju; Chang, Hang; Andarawewa, Kumari; Yaswen, Paul; Helen Barcellos-Hoff, Mary; Parvin, Bahram

    2009-01-30

    Cell membrane proteins play an important role in tissue architecture and cell-cell communication. We hypothesize that segmentation and multidimensional characterization of the distribution of cell membrane proteins, on a cell-by-cell basis, enable improved classification of treatment groups and identify important characteristics that can otherwise be hidden. We have developed a series of computational steps to (i) delineate cell membrane protein signals and associate them with a specific nucleus; (ii) compute a coupled representation of the multiplexed DNA content with membrane proteins; (iii) rank computed features associated with such a multidimensional representation; (iv) visualize selected features for comparative evaluation through heatmaps; and (v) discriminate between treatment groups in an optimal fashion. The novelty of our method is in the segmentation of the membrane signal and the multidimensional representation of phenotypic signature on a cell-by-cell basis. To test the utility of this method, the proposed computational steps were applied to images of cells that have been irradiated with different radiation qualities in the presence and absence of other small molecules. These samples are labeled for their DNA content and E-cadherin membrane proteins. We demonstrate that multidimensional representations of cell-by-cell phenotypes improve predictive and visualization capabilities among different treatment groups, and identify hidden variables.

  17. Detecting change-points in multidimensional stochatic processes

    NARCIS (Netherlands)

    de Gooijer, J.G.

    2006-01-01

    A general test statistic for detecting change-points in multidimensional stochastic processes with unknown parameters is proposed. The test statistic is specialized to the case of detecting changes in sequences of covariance matrices. Large-sample distributional results are presented for the test st

  18. Multidimensional first-order dominance comparisons of population wellbeing

    DEFF Research Database (Denmark)

    Arndt, Thomas Channing; Siersbæk, Nikolaj; Østerdal, Lars Peter Raahave

    In this paper, we convey the concept of first-order dominance (FOD) with particular focus on applications to multidimensional population welfare comparisons. We give an account of the fundamental equivalent definitions of FOD, illustrated with simple numerical examples. An implementable method fo...

  19. The Measurement of Multidimensional Gender Inequality: Continuing the Debate

    Science.gov (United States)

    Permanyer, Inaki

    2010-01-01

    The measurement of multidimensional gender inequality is an increasingly important topic that has very relevant policy applications and implications but which has not received much attention from the academic literature. In this paper I make a comprehensive and critical review of the indices proposed in recent years in order to systematise the…

  20. Multidimensional linearizable system of n-wave-type equations

    Science.gov (United States)

    Zenchuk, A. I.

    2017-01-01

    We propose a linearizable version of a multidimensional system of n-wave-type nonlinear partial differential equations ( PDEs). We derive this system using the spectral representation of its solution via a procedure similar to the dressing method for nonlinear PDEs integrable by the inverse scattering transform method. We show that the proposed system is completely integrable and construct a particular solution.

  1. Black German identities : validating the multidimensional inventory of black identity

    NARCIS (Netherlands)

    Wandert, T.; Ochsmann, R.; Brug, P.; Chybicka, A.; Lacassagne, M.F.; Verkuyten, M.J.A.M.

    2009-01-01

    This study examines the reliability and validity of a German version of the Multidimensional Inventory of Black Identity (MIBI) in a sample of 170 Black Germans. The internal consistencies of all subscales are at least moderate. The factorial structure of the MIBI, as assessed by principal component

  2. Assessing Multidimensional Energy Literacy of Secondary Students Using Contextualized Assessment

    Science.gov (United States)

    Chen, Kuan-Li; Liu, Shiang-Yao; Chen, Po-Hsi

    2015-01-01

    Energy literacy is multidimensional, comprising broad content knowledge as well as affect and behavior. Our previous study has defined four core dimensions for the assessment framework, including energy concepts, reasoning on energy issues, low-carbon lifestyle, and civic responsibility for a sustainable society. The present study compiled a…

  3. The Multidimensionality of Child Poverty: Evidence from Afghanistan

    Science.gov (United States)

    Trani, Jean-Francois; Biggeri, Mario; Mauro, Vincenzo

    2013-01-01

    This paper examines multidimensional poverty among children in Afghanistan using the Alkire-Foster method. Several previous studies have underlined the need to separate children from their adult nexus when studying poverty and treat them according to their own specificities. From the capability approach, child poverty is understood to be the lack…

  4. Linear and Nonlinear Thinking: A Multidimensional Model and Measure

    Science.gov (United States)

    Groves, Kevin S.; Vance, Charles M.

    2015-01-01

    Building upon previously developed and more general dual-process models, this paper provides empirical support for a multidimensional thinking style construct comprised of linear thinking and multiple dimensions of nonlinear thinking. A self-report assessment instrument (Linear/Nonlinear Thinking Style Profile; LNTSP) is presented and…

  5. Multidimensional Poverty in China: Findings Based on the CHNS

    Science.gov (United States)

    Yu, Jiantuo

    2013-01-01

    This paper estimates multidimensional poverty in China by applying the Alkire-Foster methodology to the China Health and Nutrition Survey 2000-2009 data. Five dimensions are included: income, living standard, education, health and social security. Results suggest that rapid economic growth has resulted not only in a reduction in income poverty but…

  6. Spatio-temporal change detection from multidimensional arrays

    NARCIS (Netherlands)

    Lu, Meng; Pebesma, Edzer; Sanchez, Alber; Verbesselt, Jan

    2016-01-01

    Growing availability of long-term satellite imagery enables change modeling with advanced spatio-temporal statistical methods. Multidimensional arrays naturally match the structure of spatio-temporal satellite data and can provide a clean modeling process for complex spatio-temporal analysis over

  7. Multidimensional Model of Trauma and Correlated Antisocial Personality Disorder

    Science.gov (United States)

    Martens, Willem H. J.

    2005-01-01

    Many studies have revealed an important relationship between psychosocial trauma and antisocial personality disorder. A multidimensional model is presented which describes the psychopathological route from trauma to antisocial development. A case report is also included that can illustrate the etiological process from trauma to severe antisocial…

  8. Multidimensional Vector Model of Stimulus-Response Compatibility

    Science.gov (United States)

    Yamaguchi, Motonori; Proctor, Robert W.

    2012-01-01

    The present study proposes and examines the multidimensional vector (MDV) model framework as a modeling schema for choice response times. MDV extends the Thurstonian model, as well as signal detection theory, to classification tasks by taking into account the influence of response properties on stimulus discrimination. It is capable of accounting…

  9. Income and beyond: Multidimensional Poverty in Six Latin American Countries

    Science.gov (United States)

    Battiston, Diego; Cruces, Guillermo; Lopez-Calva, Luis Felipe; Lugo, Maria Ana; Santos, Maria Emma

    2013-01-01

    This paper studies multidimensional poverty for Argentina, Brazil, Chile, El Salvador, Mexico and Uruguay for the period 1992-2006. The approach overcomes the limitations of the two traditional methods of poverty analysis in Latin America (income-based and unmet basic needs) by combining income with five other dimensions: school attendance for…

  10. User walkthrough of multimodal access to multidimensional databases

    NARCIS (Netherlands)

    Esch van-Bussemakers, M.P.; Cremers, A.H.M.

    2004-01-01

    This paper describes a user walkthrough that was conducted with an experimental multimodal dialogue system to access a multidimensional music database using a simulated mobile device (including a technically challenging four-PHANToM-setup). The main objectives of the user walkthrough were to assess

  11. Parentification of Adult Children of Divorce: A Multidimensional Analysis.

    Science.gov (United States)

    Jurkovic, Gregory J.; Thirkield, Alison; Morrell, Richard

    2001-01-01

    Compared the responses of 381 late adolescent and young adult children of divorce and nondivorce on a new multidimensional measure of parentification assessing the extent and fairness of past and present family caregiving. Evidence that problematic forms of parentification in children of divorce continue into late adolescence and young adulthood…

  12. Nonparametric Bayesian inference for multidimensional compound Poisson processes

    NARCIS (Netherlands)

    S. Gugushvili; F. van der Meulen; P. Spreij

    2015-01-01

    Given a sample from a discretely observed multidimensional compound Poisson process, we study the problem of nonparametric estimation of its jump size density r0 and intensity λ0. We take a nonparametric Bayesian approach to the problem and determine posterior contraction rates in this context, whic

  13. Five Evils: Multidimensional Poverty and Race in America

    Science.gov (United States)

    Reeves, Richard; Rodrigue, Edward; Kneebone, Elizabeth

    2016-01-01

    Poverty is about a lack of money, but it's not only about that. As a lived experience, poverty is also characterized by ill health, insecurity, discomfort, isolation, and more. To put it another way: Poverty is multidimensional, and its dimensions often cluster together to intensify the negative effects of being poor. In this first of a two-part…

  14. A Framework for Dimensionality Assessment for Multidimensional Item Response Models

    Science.gov (United States)

    Svetina, Dubravka; Levy, Roy

    2014-01-01

    A framework is introduced for considering dimensionality assessment procedures for multidimensional item response models. The framework characterizes procedures in terms of their confirmatory or exploratory approach, parametric or nonparametric assumptions, and applicability to dichotomous, polytomous, and missing data. Popular and emerging…

  15. ON TRUNCATION ERROR BOUND FOR MULTIDIMENSIONAL SAMPLING EXPANSION LAPLACE TRANSFORM

    Institute of Scientific and Technical Information of China (English)

    Long Jingfan; Fang Gensun

    2004-01-01

    The truncation error associated with a given sampling representation is defined as the difference between the signal and an approximating sumutilizing a finite number of terms. In this paper we give uniform bound for truncation error of bandlimited functions in the n dimensional Lebesgue space Lp(Rn) associated with multidimensional Shannon sampling representation.

  16. A multi-dimensional model for search intent.

    NARCIS (Netherlands)

    Kraaij, W.; Hinne, M.; Heijden, M. van der; Verberne, S.

    2011-01-01

    The interaction of users with search engines is part of goal driven behaviour involving an underlying information need. Information needs range from simple lookups to complex long-term desk studies. This paper proposes a new multi-dimensional model for search intent, which can be used for the

  17. Improving the Usefulness of the Multidimensional Pain Inventory

    Directory of Open Access Journals (Sweden)

    Jeffrey M McKillop

    2011-01-01

    Full Text Available BACKGROUND: The Multidimensional Pain Inventory (MPI is a reliable and valid self-report instrument that measures the impact of pain on an individual’s life, quality of social support and general activity. Criticism of the MPI has focused on this instrument’s internal structure and the stability of its classification taxonomy.

  18. A multidimensional grid-adaptive relativistic magnetofluid code

    NARCIS (Netherlands)

    van der Holst, B.; Keppens, R.; Meliani, Z.

    2008-01-01

    A robust second order, shock-capturing numerical scheme for multidimensional special relativistic magnetohydrodynamics on computational domains with adaptive mesh refinement is presented. The base solver is a total variation diminishing Lax-Friedrichs scheme in a finite volume setting and is combine

  19. Linear and Nonlinear Thinking: A Multidimensional Model and Measure

    Science.gov (United States)

    Groves, Kevin S.; Vance, Charles M.

    2015-01-01

    Building upon previously developed and more general dual-process models, this paper provides empirical support for a multidimensional thinking style construct comprised of linear thinking and multiple dimensions of nonlinear thinking. A self-report assessment instrument (Linear/Nonlinear Thinking Style Profile; LNTSP) is presented and…

  20. Educational Mismatch of Graduates: A Multidimensional and Fuzzy Indicator

    Science.gov (United States)

    Betti, Gianni; D'Agostino, Antonella; Neri, Laura

    2011-01-01

    In this paper we attempt to measure the educational mismatch, seen as a problem of overeducation, using a multidimensional and fuzzy methodology. Educational mismatch can be difficult to measure because many factors can converge to its definition and the traditional unidimensional indicators presented in literature can offer a restricted view of…

  1. Individual and Institutional Determinants of Multidimensional Poverty: A European Comparison

    Science.gov (United States)

    Dewilde, Caroline

    2008-01-01

    In this article we evaluate to what extent between-country differences in the probability of being "multidimensional" poor can be explained by a range of "domain-specific" indicators of welfare regime arrangements. To this end, a so-called micro-macro model is estimated, testing the "independent" effect of…

  2. Nonuniform sampling and maximum entropy reconstruction in multidimensional NMR.

    Science.gov (United States)

    Hoch, Jeffrey C; Maciejewski, Mark W; Mobli, Mehdi; Schuyler, Adam D; Stern, Alan S

    2014-02-18

    NMR spectroscopy is one of the most powerful and versatile analytic tools available to chemists. The discrete Fourier transform (DFT) played a seminal role in the development of modern NMR, including the multidimensional methods that are essential for characterizing complex biomolecules. However, it suffers from well-known limitations: chiefly the difficulty in obtaining high-resolution spectral estimates from short data records. Because the time required to perform an experiment is proportional to the number of data samples, this problem imposes a sampling burden for multidimensional NMR experiments. At high magnetic field, where spectral dispersion is greatest, the problem becomes particularly acute. Consequently multidimensional NMR experiments that rely on the DFT must either sacrifice resolution in order to be completed in reasonable time or use inordinate amounts of time to achieve the potential resolution afforded by high-field magnets. Maximum entropy (MaxEnt) reconstruction is a non-Fourier method of spectrum analysis that can provide high-resolution spectral estimates from short data records. It can also be used with nonuniformly sampled data sets. Since resolution is substantially determined by the largest evolution time sampled, nonuniform sampling enables high resolution while avoiding the need to uniformly sample at large numbers of evolution times. The Nyquist sampling theorem does not apply to nonuniformly sampled data, and artifacts that occur with the use of nonuniform sampling can be viewed as frequency-aliased signals. Strategies for suppressing nonuniform sampling artifacts include the careful design of the sampling scheme and special methods for computing the spectrum. Researchers now routinely report that they can complete an N-dimensional NMR experiment 3(N-1) times faster (a 3D experiment in one ninth of the time). As a result, high-resolution three- and four-dimensional experiments that were prohibitively time consuming are now practical

  3. Quantifying delayed-onset muscle soreness: a comparison of unidimensional and multidimensional instrumentation.

    Science.gov (United States)

    Cleather, Daniel J; Guthrie, Sharon R

    2007-06-01

    Unidimensional pain instrumentation, whereby participants simply rate the intensity of their pain on one evaluative level, has been the most common method of assessing delayed-onset muscle soreness (DOMS). However, pain has been shown to be a multidimensional phenomenon including sensory, affective, and evaluative aspects. The aims of this study were two-fold: (1) to compare the DOMS pain responses derived from a multidimensional instrument (i.e. the McGill Pain Questionnaire--MPQ) with those using a unidimensional measure (i.e. a visual analogue scale), and (2) to identify the MPQ descriptors most commonly used to characterize DOMS among a sample of 14 male (mean age = 24.7 years, s = 4.4) and 9 female participants (mean age = 24.6 years, s = 3.5). Although the results demonstrated no significant differences between the pain ratings of the two instruments (mean values of the pain rating indices had a Spearman rank correlation coefficient of r = 1.00), suggesting no significant advantage to be gained in using the MPQ, a clearer description of DOMS emerged. The most frequently selected DOMS descriptors were "tight" (95% of participants chose this descriptor at least once), "sore" (86%), "tender" (86%), "annoying" (86%), and "pulling" (68%). These findings may be of use to researchers and sports medicine professionals in their deliberations about which instrumentation to use in quantifying DOMS and in distinguishing such pain from other, potentially more serious, musculoskeletal damage.

  4. Imaging a multidimensional multichannel potential energy surface: Photodetachment of H-(NH3) and NH4-

    Science.gov (United States)

    Hu, Qichi; Song, Hongwei; Johnson, Christopher J.; Li, Jun; Guo, Hua; Continetti, Robert E.

    2016-06-01

    Probes of the Born-Oppenheimer potential energy surfaces governing polyatomic molecules often rely on spectroscopy for the bound regions or collision experiments in the continuum. A combined spectroscopic and half-collision approach to image nuclear dynamics in a multidimensional and multichannel system is reported here. The Rydberg radical NH4 and the double Rydberg anion NH4- represent a polyatomic system for benchmarking electronic structure and nine-dimensional quantum dynamics calculations. Photodetachment of the H-(NH3) ion-dipole complex and the NH4- DRA probes different regions on the neutral NH4 PES. Photoelectron energy and angular distributions at photon energies of 1.17, 1.60, and 2.33 eV compare well with quantum dynamics. Photoelectron-photofragment coincidence experiments indicate dissociation of the nascent NH4 Rydberg radical occurs to H + NH3 with a peak kinetic energy of 0.13 eV, showing the ground state of NH4 to be unstable, decaying by tunneling-induced dissociation on a time scale beyond the present scope of multidimensional quantum dynamics.

  5. Multi-dimensional self-esteem and substance use among Chinese adolescents.

    Science.gov (United States)

    Wu, Cynthia S T; Wong, Ho Ting; Shek, Carmen H M; Loke, Alice Yuen

    2014-10-01

    Substance use among adolescents has caused worldwide public health concern in recent years. Overseas studies have demonstrated an association between adolescent self-esteem and substance use, but studies within a Chinese context are limited. A study was therefore initiated to: (1) explore the 30 days prevalence of substance use (smoking, drinking, and drugs) among male and female adolescents in Hong Kong; (2) identify the significant associations between multidimensional self-esteem and gender; and (3) examine the relationship between multi-dimensional self-esteem and substance use. A self-esteem scale and the Chinese version of the global school-based student health survey were adopted. A total of 1,223 students were recruited from two mixed-gender schools and one boys' school. Among females, there was a lower 30-day prevalence of cigarette, alcohol, and drug use. They also had significantly higher peer and family self-esteem but lower sport-related self-esteem. Body image self-esteem was a predictor of alcohol use among females, while peer and school self-esteem were predictors of drug use among males. In summary, the findings demonstrated the influence of self-esteem to the overall well-being of adolescents. Schools could play a role in promoting physical fitness and positive relationships between adolescents and their peers, family, and schools to fulfill their physical and psychological self-esteem needs.

  6. MULTIDIMENSIONAL ANALYSIS OF SELF-ESTEEM IN A GROUP OF CHILDREN WITH ADHD

    Directory of Open Access Journals (Sweden)

    Marco Lamberti

    2012-03-01

    Full Text Available Attention Deficit Hyperactivity Disorder (ADHD is characterised by low levels of internalizing symptoms and self-efficacy which causes low self-esteem, while externalizing behaviours appear to be related to high levels of stress in the parents. The purpose of this research is to analyze the impact of ADHD on self-esteem and parental stress. A multidimensional assessment of self-esteem was performed using the MSCS (Multidimensional Self-Concept Scale in a group of 12 male patients with ADHD (age range 9-11 years. Parental stress was investigated using the Parenting Stress Index (PSI. These results were compared with a group of 12 healthy children (age 9-11 years, with both parametric statistics and correlation statistics. The comparison between ADHD children and control subjects, performed by a calculation to rank with the Mann-Whitney, showed a high significance in two dimensional components of self-esteem: social relationships (Z -2.028 p 0.045 and academic success (Z - 2.166 p 0.028. The total self-esteem score differed significantly between the two groups (Z -2.227 p 0.024. Parental stress increaseed with the level of the child‟s oppositional symptoms (p 0.790 but it did not correlate with the other scores (cognitive problems / inattention p 0.381; hyperactivity p 0.414; ADHD index p 0.324. The present study shows that self-esteem is impaired among children with ADHD.

  7. Tensor-Train Split-Operator Fourier Transform (TT-SOFT) Method: Multidimensional Nonadiabatic Quantum Dynamics.

    Science.gov (United States)

    Greene, Samuel M; Batista, Victor S

    2017-09-12

    We introduce the "tensor-train split-operator Fourier transform" (TT-SOFT) method for simulations of multidimensional nonadiabatic quantum dynamics. TT-SOFT is essentially the grid-based SOFT method implemented in dynamically adaptive tensor-train representations. In the same spirit of all matrix product states, the tensor-train format enables the representation, propagation, and computation of observables of multidimensional wave functions in terms of the grid-based wavepacket tensor components, bypassing the need of actually computing the wave function in its full-rank tensor product grid space. We demonstrate the accuracy and efficiency of the TT-SOFT method as applied to propagation of 24-dimensional wave packets, describing the S1/S2 interconversion dynamics of pyrazine after UV photoexcitation to the S2 state. Our results show that the TT-SOFT method is a powerful computational approach for simulations of quantum dynamics of polyatomic systems since it avoids the exponential scaling problem of full-rank grid-based representations.

  8. Second order multidimensional sign-preserving remapping for ALE methods

    Energy Technology Data Exchange (ETDEWEB)

    Hill, Ryan N [Los Alamos National Laboratory; Szmelter, J. [LOUGHBOROUGH UNIV.

    2010-12-15

    A second-order conservative sign-preserving remapping scheme for Arbitrary Lagrangian-Eulerian (ALE) methods is developed utilising concepts of the Multidimensional Positive Definite Advection Transport Algorithm (MPDATA). The algorithm is inherently multidimensional, and so does not introduce splitting errors. The remapping is implemented in a two-dimensional, finite element ALE solver employing staggered quadrilateral meshes. The MPDATA remapping uses a finite volume discretization developed for volume coordinates. It is applied for the remapping of density and internal energy arranged as cell centered, and velocity as nodal, dependent variables. In the paper, the advection of scalar fields is examined first for test cases with prescribed mesh movement. A direct comparison of MPDATA with the performance of the van Leer MUSCL scheme indicates advantages of a multidimensional approach. Furthermore, distinctly different performance between basic MPDATA and the infinite gauge option is illustrated using benchmarks involving transport of a sign changing velocity field. Further development extends the application of MPDATA remapping to the full ALE solver with a staggered mesh arrangement for density, internal energy and momentum using volume coordinates. At present, two options of the algorithm - basic and infinite gauge - are implemented. To ensure a meaningful assessment, an identical Lagrangian solver and computational mesh update routines are used with either MPDATA or van Leer MUSCL remapping. The evaluation places particular focus on the abilities of both schemes to accurately model multidimensional problems. Theoretical considerations are supported with numerical examples. In addition to the prescribed mesh movement cases for advection of scalars, the demonstrations include two-dimensional Eulerian and ALE flow simulations on quadrilateral meshes with both fixed and variable timestep control. The key comparisons include the standard test cases of Sod and Noh

  9. Spectral Analysis of Multi-dimensional Self-similar Markov Processes

    CERN Document Server

    Modarresi, N

    2009-01-01

    In this paper we consider a wide sense discrete scale invariant process with scale $l>1$. We consider to have $T$ samples at each scale, and choose $\\alpha$ by the equality $l=\\alpha^T$. Our special scheme of sampling is to choose our samples at discrete points $\\alpha^k, k\\in W$. So we provide a discrete time wide sense scale invariant(DT-SI) process. We find the spectral representation of the covariance function of such DT-SI process. By providing harmonic like representation of multi-dimensional self-similar processes, spectral density function of them are presented. We also consider a discrete time scale invariance Markov(DT-SIM) process with the above scheme of sampling at points $\\alpha^k, k\\in {\\bf W}$ and show that the spectral density matrix of DT-SIM process and its associated $T$-dimensional self-similar Markov process is fully specified by $\\{R_{j}^H(1),R_{j}^H(0),j=0, 1, ..., T-1\\}$ where $R_{j}^H(\\tau)=\\mathrm{Cov}\\big(X(\\alpha^{j+\\tau}),X(\\alpha^j)\\big)$

  10. Effect of a Multi-Dimensional and Inter-Sectoral Intervention on the Adherence of Psychiatric Patients.

    Directory of Open Access Journals (Sweden)

    Anne Pauly

    Full Text Available In psychiatry, hospital stays and transitions to the ambulatory sector are susceptible to major changes in drug therapy that lead to complex medication regimens and common non-adherence among psychiatric patients. A multi-dimensional and inter-sectoral intervention is hypothesized to improve the adherence of psychiatric patients to their pharmacotherapy.269 patients from a German university hospital were included in a prospective, open, clinical trial with consecutive control and intervention groups. Control patients (09/2012-03/2013 received usual care, whereas intervention patients (05/2013-12/2013 underwent a program to enhance adherence during their stay and up to three months after discharge. The program consisted of therapy simplification and individualized patient education (multi-dimensional component during the stay and at discharge, as well as subsequent phone calls after discharge (inter-sectoral component. Adherence was measured by the "Medication Adherence Report Scale" (MARS and the "Drug Attitude Inventory" (DAI.The improvement in the MARS score between admission and three months after discharge was 1.33 points (95% CI: 0.73-1.93 higher in the intervention group compared to controls. In addition, the DAI score improved 1.93 points (95% CI: 1.15-2.72 more for intervention patients.These two findings indicate significantly higher medication adherence following the investigated multi-dimensional and inter-sectoral program.German Clinical Trials Register DRKS00006358.

  11. Effect of a Multi-Dimensional and Inter-Sectoral Intervention on the Adherence of Psychiatric Patients.

    Science.gov (United States)

    Pauly, Anne; Wolf, Carolin; Mayr, Andreas; Lenz, Bernd; Kornhuber, Johannes; Friedland, Kristina

    2015-01-01

    In psychiatry, hospital stays and transitions to the ambulatory sector are susceptible to major changes in drug therapy that lead to complex medication regimens and common non-adherence among psychiatric patients. A multi-dimensional and inter-sectoral intervention is hypothesized to improve the adherence of psychiatric patients to their pharmacotherapy. 269 patients from a German university hospital were included in a prospective, open, clinical trial with consecutive control and intervention groups. Control patients (09/2012-03/2013) received usual care, whereas intervention patients (05/2013-12/2013) underwent a program to enhance adherence during their stay and up to three months after discharge. The program consisted of therapy simplification and individualized patient education (multi-dimensional component) during the stay and at discharge, as well as subsequent phone calls after discharge (inter-sectoral component). Adherence was measured by the "Medication Adherence Report Scale" (MARS) and the "Drug Attitude Inventory" (DAI). The improvement in the MARS score between admission and three months after discharge was 1.33 points (95% CI: 0.73-1.93) higher in the intervention group compared to controls. In addition, the DAI score improved 1.93 points (95% CI: 1.15-2.72) more for intervention patients. These two findings indicate significantly higher medication adherence following the investigated multi-dimensional and inter-sectoral program. German Clinical Trials Register DRKS00006358.

  12. The CRT display evaluation: The multidimensional rating of CRT-generated displays

    Science.gov (United States)

    Getman, D. L.; Blackman, H. S.; Banks, W. W.; Petersen, R. J.

    1982-10-01

    This report is one in a series evaluating various methods for determining the effectiveness of display formats and contains results from multidimensional rating of three cathode ray tube displays. Each display contained information regarding the status of nine safety parameters critical to safe operations the Loss-Of-Fluid Test (LOFT) reactor located at the Idaho National Engineering Laboratory (INEL). Certified LOFT operators evaluated three formats - bars, stars, and meters - as part of a multimethod display evaluation ongoing at INEL. Each of the six cognitive dimensions embedded in the rating scale are discussed in terms of their internal consistency and ability to differentiate between each of the three formats. Preliminary findings suggest that two of the six dimensions, content integration and cognitive processing, were able to discriminate between formats while satisfying the criteria of internal consistency as measured by Cronbach's alpha. Conclusions in this report must be interpreted in light of moderate test-retest reliability.

  13. Madagascar: open-source software project for multidimensional data analysis and reproducible computational experiments

    Directory of Open Access Journals (Sweden)

    Sergey Fomel

    2013-11-01

    Full Text Available The Madagascar software package is designed for analysis of large-scale multidimensional data, such as those occurring in exploration geophysics. Madagascar provides a framework for reproducible research. By “reproducible research” we refer to the discipline of attaching software codes and data to computational results reported in publications. The package contains a collection of (a computational modules, (b data-processing scripts, and (c research papers. Madagascar is distributed on SourceForge under a GPL v2 license https://sourceforge.net/projects/rsf/. By October 2013, more than 70 people from different organizations around the world have contributed to the project, with increasing year-to-year activity. The Madagascar website is http://www.ahay.org/.

  14. Motivation and engagement in music and sport: testing a multidimensional framework in diverse performance settings.

    Science.gov (United States)

    Martin, Andrew J

    2008-02-01

    The present study assessed the application of a multidimensional model of motivation and engagement (the Motivation and Engagement Wheel) and its accompanying instrumentation (the Motivation and Engagement Scale) to the music and sport domains. Participants were 463 young classical musicians (N=224) and sportspeople (N=239). In both music and sport samples, the data confirmed the good fit of the four hypothesized higher-order dimensions and their 11 first-order dimensions: adaptive cognitions (self-efficacy, valuing, mastery orientation), adaptive behaviors (planning, task management, persistence), impeding/maladaptive cognitions (uncertain control, anxiety, failure avoidance), and maladaptive behaviors (self-handicapping, disengagement). Multigroup tests of factor invariance showed that in terms of underlying motivational constructs and the composition of and relationships among these constructs, key subsamples are not substantially different. Moreover-and of particular relevance to issues around the generalizability of the framework-the factor structure for music and sport samples was predominantly invariant.

  15. Unidimensional versus multidimensional approaches to the assessment of acculturation for Asian American populations.

    Science.gov (United States)

    Abe-Kim, J; Okazaki, S; Goto, S G

    2001-08-01

    This study used generational status and the Suinn-Lew Asian Self-Identity Acculturation scale to examine unidimensional versus multidimensional approaches to the conceptualization and measurement of acculturation and their relationships to relevant cultural indicator variables, including measures of Individualism-Collectivism, Independent-Interdependent Self-Construal, Loss of Face, and Impression Management. Multivariate analyses of covariance and partial correlations were used to examine the relationship between the acculturation models and each set of cultural indicator variables while controlling for socioeconomic status. Given that acculturation differences are often cited as evidence for a culture effect between groups, the present findings of an uneven nature of these relationships as a function of the particular acculturation measurement strategy have important implications for research on Asian Americans.

  16. Reduced entropic model for studies of multidimensional nonlocal transport in high-energy-density plasmas

    Energy Technology Data Exchange (ETDEWEB)

    Del Sorbo, D.; Feugeas, J.-L.; Nicolaï, Ph.; Olazabal-Loumé, M.; Dubroca, B.; Guisset, S.; Touati, M.; Tikhonchuk, V. [Centre Lasers Intenses et Applications, Université de Bordeaux-CNRS-CEA, UMR 5107, F-33405 Talence (France)

    2015-08-15

    Hydrodynamic simulations of high-energy-density plasmas require a detailed description of energy fluxes. For low and intermediate atomic number materials, the leading mechanism is the electron transport, which may be a nonlocal phenomenon requiring a kinetic modeling. In this paper, we present and test the results of a nonlocal model based on the first angular moments of a simplified Fokker-Planck equation. This multidimensional model is closed thanks to an entropic relation (the Boltzman H-theorem). It provides a better description of the electron distribution function, thus enabling studies of small scale kinetic effects within the hydrodynamic framework. Examples of instabilities of electron plasma and ion-acoustic waves, driven by the heat flux, are presented and compared with the classical formula.

  17. Reduced entropic model for studies of multidimensional nonlocal transport in high-energy-density plasmas

    Science.gov (United States)

    Del Sorbo, D.; Feugeas, J.-L.; Nicolaï, Ph.; Olazabal-Loumé, M.; Dubroca, B.; Guisset, S.; Touati, M.; Tikhonchuk, V.

    2015-08-01

    Hydrodynamic simulations of high-energy-density plasmas require a detailed description of energy fluxes. For low and intermediate atomic number materials, the leading mechanism is the electron transport, which may be a nonlocal phenomenon requiring a kinetic modeling. In this paper, we present and test the results of a nonlocal model based on the first angular moments of a simplified Fokker-Planck equation. This multidimensional model is closed thanks to an entropic relation (the Boltzman H-theorem). It provides a better description of the electron distribution function, thus enabling studies of small scale kinetic effects within the hydrodynamic framework. Examples of instabilities of electron plasma and ion-acoustic waves, driven by the heat flux, are presented and compared with the classical formula.

  18. Disentangling Multidimensional Nonequilibrium Dynamics of Adsorbates: CO Desorption from Cu(100)

    Science.gov (United States)

    Inoue, Ken-ichi; Watanabe, Kazuya; Sugimoto, Toshiki; Matsumoto, Yoshiyasu; Yasuike, Tomokazu

    2016-10-01

    Hot carriers at metal surfaces can drive nonthermal reactions of adsorbates. Characterizing nonequilibrium statistics among various degrees of freedom in an ultrafast time scale is crucial to understand and develop hot carrier-driven chemistry. Here we demonstrate multidimensional vibrational dynamics of carbon monoxide (CO) on Cu(100) along hot-carrier induced desorption studied by using time-resolved vibrational sum-frequency generation with phase-sensitive detection. Instantaneous frequency and amplitude of the CO internal stretching mode are tracked with a subpicosecond time resolution that is shorter than the vibrational dephasing time. These experimental results in combination with numerical analysis based on Langevin simulations enable us to extract nonequilibrium distributions of external vibrational modes of desorbing molecules. Superstatistical distributions are generated with mode-dependent frictional couplings in a few hundred femtoseconds after hot-electron excitation, and energy flow from hot electrons and intermode anharmonic coupling play crucial roles in the subsequent evolution of the non-Boltzman distributions.

  19. SciSpark's SRDD : A Scientific Resilient Distributed Dataset for Multidimensional Data

    Science.gov (United States)

    Palamuttam, R. S.; Wilson, B. D.; Mogrovejo, R. M.; Whitehall, K. D.; Mattmann, C. A.; McGibbney, L. J.; Ramirez, P.

    2015-12-01

    Remote sensing data and climate model output are multi-dimensional arrays of massive sizes locked away in heterogeneous file formats (HDF5/4, NetCDF 3/4) and metadata models (HDF-EOS, CF) making it difficult to perform multi-stage, iterative science processing since each stage requires writing and reading data to and from disk. We have developed SciSpark, a robust Big Data framework, that extends ApacheTM Spark for scaling scientific computations. Apache Spark improves the map-reduce implementation in ApacheTM Hadoop for parallel computing on a cluster, by emphasizing in-memory computation, "spilling" to disk only as needed, and relying on lazy evaluation. Central to Spark is the Resilient Distributed Dataset (RDD), an in-memory distributed data structure that extends the functional paradigm provided by the Scala programming language. However, RDDs are ideal for tabular or unstructured data, and not for highly dimensional data. The SciSpark project introduces the Scientific Resilient Distributed Dataset (sRDD), a distributed-computing array structure which supports iterative scientific algorithms for multidimensional data. SciSpark processes data stored in NetCDF and HDF files by partitioning them across time or space and distributing the partitions among a cluster of compute nodes. We show usability and extensibility of SciSpark by implementing distributed algorithms for geospatial operations on large collections of multi-dimensional grids. In particular we address the problem of scaling an automated method for finding Mesoscale Convective Complexes. SciSpark provides a tensor interface to support the pluggability of different matrix libraries. We evaluate performance of the various matrix libraries in distributed pipelines, such as Nd4jTM and BreezeTM. We detail the architecture and design of SciSpark, our efforts to integrate climate science algorithms, parallel ingest and partitioning (sharding) of A-Train satellite observations from model grids. These

  20. A Multidimensional Data Warehouse for Community Health Centers.

    Science.gov (United States)

    Kunjan, Kislaya; Toscos, Tammy; Turkcan, Ayten; Doebbeling, Brad N

    2015-01-01

    Community health centers (CHCs) play a pivotal role in healthcare delivery to vulnerable populations, but have not yet benefited from a data warehouse that can support improvements in clinical and financial outcomes across the practice. We have developed a multidimensional clinic data warehouse (CDW) by working with 7 CHCs across the state of Indiana and integrating their operational, financial and electronic patient records to support ongoing delivery of care. We describe in detail the rationale for the project, the data architecture employed, the content of the data warehouse, along with a description of the challenges experienced and strategies used in the development of this repository that may help other researchers, managers and leaders in health informatics. The resulting multidimensional data warehouse is highly practical and is designed to provide a foundation for wide-ranging healthcare data analytics over time and across the community health research enterprise.