984 resultados para Applied Psychology
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Background Obesity may have an impact on key aspects of health-related quality of life (HRQOL). In this context, the Impact of Weight Quality of Life (IWQOL) questionnaire was the first scale designed to assess HRQOL. The aim of the present study was twofold: to assess HRQOL in a sample of Spanish patients awaiting bariatric surgery and to determine the psychometric properties of the IWQOL-Lite and its sensitivity to detect differences in HRQOL across groups. Methods Participants were 109 obese adult patients (BMI¿ 35 kg/m2) from Barcelona, to whom the following measurement instruments were applied: IWQOL-Lite, Depression Anxiety Stress Scales, Brief Symptom Inventory, and self-perception items. Results Descriptive data regarding the IWQOL-Lite scores obtained by these patients are reported. Principal components analysis revealed a five-factor model accounting for 72.05% of the total variance, with factor loadings being adequate for all items. Corrected itemtotal correlations were acceptable for all items. Cronbach"s alpha coefficients were excellent both for the subscales (0.880.93) and the total scale (0.95). The relationship between the IWQOLLite and other variables supports the construct validity of the scale. Finally, sensitivity analysis revealed large effect sizes when comparing scores obtained by extreme BMI groups. Conclusions This is the first study to report the application of the IWQOL-Lite to a sample of Spanish patients awaiting bariatric surgery and to confirm that the Spanish version of the instrument has adequate psychometric properties.
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The present study discusses retention criteria for principal components analysis (PCA) applied to Likert scale items typical in psychological questionnaires. The main aim is to recommend applied researchers to restrain from relying only on the eigenvalue-than-one criterion; alternative procedures are suggested for adjusting for sampling error. An additional objective is to add evidence on the consequences of applying this rule when PCA is used with discrete variables. The experimental conditions were studied by means of Monte Carlo sampling including several sample sizes, different number of variables and answer alternatives, and four non-normal distributions. The results suggest that even when all the items and thus the underlying dimensions are independent, eigenvalues greater than one are frequent and they can explain up to 80% of the variance in data, meeting the empirical criterion. The consequences of using Kaiser"s rule are illustrated with a clinical psychology example. The size of the eigenvalues resulted to be a function of the sample size and the number of variables, which is also the case for parallel analysis as previous research shows. To enhance the application of alternative criteria, an R package was developed for deciding the number of principal components to retain by means of confidence intervals constructed about the eigenvalues corresponding to lack of relationship between discrete variables.
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Logistic regression is included into the analysis techniques which are valid for observationalmethodology. However, its presence at the heart of thismethodology, and more specifically in physical activity and sports studies, is scarce. With a view to highlighting the possibilities this technique offers within the scope of observational methodology applied to physical activity and sports, an application of the logistic regression model is presented. The model is applied in the context of an observational design which aims to determine, from the analysis of use of the playing area, which football discipline (7 a side football, 9 a side football or 11 a side football) is best adapted to the child"s possibilities. A multiple logistic regression model can provide an effective prognosis regarding the probability of a move being successful (reaching the opposing goal area) depending on the sector in which the move commenced and the football discipline which is being played.
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Visual inspection remains the most frequently applied method for detecting treatment effects in single-case designs. The advantages and limitations of visual inference are here discussed in relation to other procedures for assessing intervention effectiveness. The first part of the paper reviews previous research on visual analysis, paying special attention to the validation of visual analysts" decisions, inter-judge agreement, and false alarm and omission rates. The most relevant factors affecting visual inspection (i.e., effect size, autocorrelation, data variability, and analysts" expertise) are highlighted and incorporated into an empirical simulation study with the aim of providing further evidence about the reliability of visual analysis. Our results concur with previous studies that have reported the relationship between serial dependence and increased Type I rates. Participants with greater experience appeared to be more conservative and used more consistent criteria when assessing graphed data. Nonetheless, the decisions made by both professionals and students did not match sufficiently the simulated data features, and we also found low intra-judge agreement, thus suggesting that visual inspection should be complemented by other methods when assessing treatment effectiveness.
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The present study proposes a modification in one of the most frequently applied effect size procedures in single-case data analysis the percent of nonoverlapping data. In contrast to other techniques, the calculus and interpretation of this procedure is straightforward and it can be easily complemented by visual inspection of the graphed data. Although the percent of nonoverlapping data has been found to perform reasonably well in N = 1 data, the magnitude of effect estimates it yields can be distorted by trend and autocorrelation. Therefore, the data correction procedure focuses on removing the baseline trend from data prior to estimating the change produced in the behavior due to intervention. A simulation study is carried out in order to compare the original and the modified procedures in several experimental conditions. The results suggest that the new proposal is unaffected by trend and autocorrelation and can be used in case of unstable baselines and sequentially related measurements.
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Depth-averaged velocities and unit discharges within a 30 km reach of one of the world's largest rivers, the Rio Parana, Argentina, were simulated using three hydrodynamic models with different process representations: a reduced complexity (RC) model that neglects most of the physics governing fluid flow, a two-dimensional model based on the shallow water equations, and a three-dimensional model based on the Reynolds-averaged Navier-Stokes equations. Row characteristics simulated using all three models were compared with data obtained by acoustic Doppler current profiler surveys at four cross sections within the study reach. This analysis demonstrates that, surprisingly, the performance of the RC model is generally equal to, and in some instances better than, that of the physics based models in terms of the statistical agreement between simulated and measured flow properties. In addition, in contrast to previous applications of RC models, the present study demonstrates that the RC model can successfully predict measured flow velocities. The strong performance of the RC model reflects, in part, the simplicity of the depth-averaged mean flow patterns within the study reach and the dominant role of channel-scale topographic features in controlling the flow dynamics. Moreover, the very low water surface slopes that typify large sand-bed rivers enable flow depths to be estimated reliably in the RC model using a simple fixed-lid planar water surface approximation. This approach overcomes a major problem encountered in the application of RC models in environments characterised by shallow flows and steep bed gradients. The RC model is four orders of magnitude faster than the physics based models when performing steady-state hydrodynamic calculations. However, the iterative nature of the RC model calculations implies a reduction in computational efficiency relative to some other RC models. A further implication of this is that, if used to simulate channel morphodynamics, the present RC model may offer only a marginal advantage in terms of computational efficiency over approaches based on the shallow water equations. These observations illustrate the trade off between model realism and efficiency that is a key consideration in RC modelling. Moreover, this outcome highlights a need to rethink the use of RC morphodynamic models in fluvial geomorphology and to move away from existing grid-based approaches, such as the popular cellular automata (CA) models, that remain essentially reductionist in nature. In the case of the world's largest sand-bed rivers, this might be achieved by implementing the RC model outlined here as one element within a hierarchical modelling framework that would enable computationally efficient simulation of the morphodynamics of large rivers over millennial time scales. (C) 2012 Elsevier B.V. All rights reserved.
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Selostus: Yrttien ja vihannesten infrapunakuivaus rumpukuivurissa
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Bone metastases are the result of a primary cancer invasion which spreads into the bone marrow through the lymphogenous or hematogenous pathways. Bone metastases are a common complication of cancer.The primary cancers that most frequently metastasize to bone are breast and prostate cancer (65 - 75 %) amongst many others (thyroid 42 %, lung 36 % or kidney 35 %) (Suva et al., 2011). Although the exact incidence of bone metastases is unknown given its dependence on the type of primary cancer, it is estimated that 350,000 people die of bone metastases annually in the United States.
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Integrating evolutionary and social representations theories, the current study examines the relationship between perceived disease threat and exclusionary immigration attitudes in the context of a potential avian influenza pandemic. This large-scale disease provides a realistic context for investigating the link between disease threat and immigration attitudes. The main aim of this cross-sectional study (N=412) was to explore mechanisms through which perceived chronic and contextual disease threats operate on immigration attitudes. Structural equation models show that the relationship between chronic disease threat (germ aversion) and exclusionary immigration attitudes (assimiliationist immigration criteria, health-based immigration criteria and desire to reduce the proportion of foreigners) was mediated by ideological and normative beliefs (social dominance orientation, belief in a dangerous world), but not by contextual disease threat (appraisal of avian influenza pandemic threat). Contextual disease threat only predicted support for health-based immigration criteria. The conditions under which real-life disease threats influence intergroup attitudes are scrutinized. Convergence and dissimilarity of evolutionary and social representational approaches in accounting for the link between disease threat and immigration attitudes are discussed.
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Résumé: Valoriser le géopatrimoine par la médiation indirecte et la visualisation des objets géomorphologiques Le géopatrimoine regroupe des objets géologiques lato sensu auxquels certaines valeurs sont attribuées, en fonction de leur intérêt pour la science, de leur rareté, de leurs particularités culturelles ou écologiques, etc. Valoriser le géopatrimoine signifie avant tout faire partager cette approche aux non-spécialistes, en expliquant ce qui fait la valeur de ces objets. Cette valorisation peut s'effectuer, entre autres, sous la forme d'une activité touristique et contribuer ainsi au développement régional. Faire comprendre l'origine, la singularité et la valeur des formes du relief implique le recours à une communication éducative, désignée par le terme de médiation. Les implications de la dimension éducative du processus, comme la prise en compte des connaissances et attentes du public, la création d'un environnement favorable à l'apprentissage ou l'attractivité du contenu, sont souvent négligées. Du point de vue conceptuel, un modèle de la médiation indirecte (c'est-à-dire au moyen de supports médiatiques) a été proposé et appliqué au développement empirique de produits de médiation et à leur évaluation. Ce modèle ne garantit pas la réussite de la communication éducative, mais contribue à créer un cadre favorable au processus. De plus, plusieurs lignes directrices pour le choix du type de média et sa mise en forme ont été définies sur la base d'une compilation de résultats de la psychologie cognitive sur l'usage des médias pour l'apprentissage. Des méthodes qualitatives et quantitatives variées ont été mobilisées : enquêtes par questionnaire ex situ et in situ, auprès des visiteurs de géomorphosites de montagne, réalisation de médias interactifs testés ensuite auprès de divers publics (parcours enregistré, pré- et post-questionnaires) et entretiens collectifs. Les résultats obtenus éclairent divers aspects de la problématique. L'étude du public a montré, par exemple, que le géotourisme possède un réel public parmi les visiteurs des sites de montagnes : trois-quarts d'entre eux expriment de l'intérêt pour des explications sur la géologie et l'évolution du paysage. Cette thèse a exploré ces aspects liés au processus d'apprentissage en se focalisant sur les médias visuels, surtout interactifs. La plupart des médias visuels couramment utilisés en géomorphologie ont été considérés. Le développement de versions interactives de ces médias sous forme d'applications web a fourni un aperçu concret des possibilités des nouvelles technologies. Les utilisateurs apprécient en particulier a richesse du contenu, le haut degré d'interactivité et la variété de ces applications. De tels médias incitent à visiter le site naturel et semblent aussi répondre aux intérêts de publics variés. Abstract: Geoheritage promotion through non-personal interpretation and visualisation of geomorphological features Geoheritage concerns all geological features lato sensu to which some values are attributed, according to their scientific interest, their rarity, their cultural or ecological dimensions, etc. Geoheritage promotion implies sharing this point of view with non-specialists, explaining what gives value to those objects. Geotourism is one of the many ways to achieve geoheritage promotion, while contributing also to regional development. In order to make non-specialists understand the origin, the specificity and the value of landforms, educational communication is needed, that is called interpretation (French: médiation). This education dimension has several, and often neglected, implications, like taking into account public's knowledge and expectations, creating a favourable learning environment, attractive design, etc. From the conceptual point of view, a model for non-personal interpretation has been proposed and applied for the empirical development and for the assessment of interpretive products. This model does not guarantee success of educational communication, but help creating a favourable environment for this process. Moreover, some guidelines were defined from a compilation of several results of cognitive psychology on media use for learning. They guide the choice of the kind of media and its design. Several qualitative and quantitative methods were applied: survey questionnaires ex situ and in situ by mountain geomorphosites visitors, interactive medias developed and then tested by different kinds of users (with usertracking, pre- and post-survey questionnaires), group interviews. The results answered different aspects of the research questions. Visitor surveys revealed for example that geotourism could attract many visitors of mountain areas: three quarters of them say they are interested in getting explanations about geology and landscape (in particular its dynamic dimensions). This thesis examined those aspects with a focus on visual medias, both statics and interactive. Most of currently used medias in geomorphology were considered. Interactive versions of those medias were developed in web applications; they gave a concrete overview on the opportunities that new technologies offer. The content richness, the high interaction level and the diversity of the applications are the most liked aspects by the users. Such medias drive to visit the natural site and seem to correspond to the interests of various kinds of publics. Zusammenfassung: Aufwertung des erdwissenschaftlichen Erbes durch mediale Vermittlung und Visualisierung von geomorphologischen Objekten Das erdwissenschaftliche Erbe besteht aus geologischen Gegebenheiten lato sensu, denen entsprechend ihrer Bedeutung für die Wissenschaft, ihrer Seltenheit, ihrer kulturellen oder ökologischen Besonderheiten usw. bestimmte Werte zugeordnet werden. Das erdwissenschaftliche Erbe aufzuwerten bedeutet in erster Linie, diesen Ansatz Nichtspezialisten näher zu bringen, indem ihnen erklärt wird, was den Wert dieser Gegebenheiten ausmacht. Dies kann etwa im Rahmen eines touristischen Angebots geschehen und so die regionale Entwicklung unterstützen. Um Entstehung, Besonderheit und Wert von Geländeformen verständlich zu machen, wird eine pädagogische Kommunikationsform verwendet, die als mediale Vermittlung (franz. médiation) bezeichnet wird. Die Bedeutung der pädagogischen Dimension des Vermittlungsprozesses wie etwa der Einbezug des Wissens und der Erwartungen des Publikums, die Gestaltung eines positiven Lernklimas oder die Attraktivität des Inhalts wird oft vernachlässigt. Auf konzeptueller Ebene wurde ein Modell der indirekten Interpretation erarbeitet (d. h. anhand von Medien), das bei der empirischen Entwicklung der Interpretationsprodukte und ihrer Evaluation Anwendung fand. Dieses Modell garantiert zwar nicht den Erfolg der pädagogischen Kommunikation. Es trägt aber dazu bei, einen für den Prozess günstigen Kontext zu schaffen. Des Weiteren wurden mehrere Richtlinien für die Wahl des Medientyps und dessen Ausgestaltung anhand einer Zusammenstellung von Resultaten der kognitiven Psychologie über den Gebrauch von Medien in Lernprozessen definiert. Es wurden verschiedene qualitative und quantitative Methoden eingesetzt: Befragung mittels Fragebogen der Besucher von geomorphologischen Geotopen im Gebirge - ex situ und in situ -, Erarbeitung von interaktiven Medien, die anschliessend anhand verschiedener Zielgruppen gestestet wurden (Aufnahme des Besuchparcours, Vor- und Nachfragebögen) sowie kollektive Interviews. Die Ergebnisse geben Aufschluss zu verschiedenen Aspekten der Fragestellung. Die Befragung des Publikums hat zum Beispiel deutlich gemacht, dass der Geotourismus unter den Besuchern von Berggebieten tatsächlich auf eine Nachfrage stösst: drei Viertel von ihnen zeigen ein Interesse für Erläuterungen zur Geologie und der Landschaftsentwicklung. Die vorliegende Doktorarbeit hat die genannten Aspekte der Lernprozesse untersucht, wobei der Fokus auf visuellen, insbesondere interaktiven Medien lag. Die meisten gängigen visuellen Medien der Geomorphologie wurden berücksichtigt. Die Entwicklung von interaktiven Versionen dieser Medien in Form von Web-Anwendungen hat die Möglichkeiten der neuen Technologien veranschaulicht. Die Benutzer schätzten insbesondere die Vielfalt des Inhalts, die hohe Interaktivität und die Diversität dieser Anwendungen. Solche Medien laden dazu ein, ein Naturgebiet zu besuchen und scheinen den Interessen der verschiedenen Publikumsgruppen entgegenzukommen.
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Excitation-continuous music instrument control patterns are often not explicitly represented in current sound synthesis techniques when applied to automatic performance. Both physical model-based and sample-based synthesis paradigmswould benefit from a flexible and accurate instrument control model, enabling the improvement of naturalness and realism. Wepresent a framework for modeling bowing control parameters inviolin performance. Nearly non-intrusive sensing techniques allow for accurate acquisition of relevant timbre-related bowing control parameter signals.We model the temporal contour of bow velocity, bow pressing force, and bow-bridge distance as sequences of short Bézier cubic curve segments. Considering different articulations, dynamics, and performance contexts, a number of note classes are defined. Contours of bowing parameters in a performance database are analyzed at note-level by following a predefined grammar that dictates characteristics of curve segment sequences for each of the classes in consideration. As a result, contour analysis of bowing parameters of each note yields an optimal representation vector that is sufficient for reconstructing original contours with significant fidelity. From the resulting representation vectors, we construct a statistical model based on Gaussian mixtures suitable for both the analysis and synthesis of bowing parameter contours. By using the estimated models, synthetic contours can be generated through a bow planning algorithm able to reproduce possible constraints caused by the finite length of the bow. Rendered contours are successfully used in two preliminary synthesis frameworks: digital waveguide-based bowed stringphysical modeling and sample-based spectral-domain synthesis.