948 resultados para sobreposição multidimensional


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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O presente trabalho analisou o conteúdo estomacal de cinco espécies de elasmobrânquios, sendo 9 estômagos de Psammobatis rutrum, 83 de Psammobatis extenta, 59 de Atlantoraja cyclophora, 112 de Rioraja agassizi e 43 de Rhizoprionodon lalandii, com o objetivo de obter informações sobre os hábitos alimentares dessas espécies, além de verificar a formação de guildas tróficas entre as espécies estudadas. As coletas ocorreram entre janeiro de 2006 e agosto de 2007, no litoral sul do Rio de Janeiro, ao largo da Ilha Grande. Os itens alimentares encontrados foram analisados quanto a Frequência de Ocorrência, Peso Percentual e Índice Alimentar, sendo a dieta de cada espécie avaliada considerando toda amostra, de acordo com o sexo dos indivíduos, estádios de maturidade e épocas do ano. Para investigar a similaridade entre as dietas e verificar a formação de guildas tróficas foi realizada uma Análise de Escalonamento Multidimensional (MDS). As dietas de Psammobatis rutrum e Psammobatis extenta foram consideradas carcino-bentófagas, com grande importância de camarões. O principal item para Atlantoraja cyclophora foi o siri Portunus spinicarpus, sendo a dieta considerada principalmente carcino-bentófaga, mas também com grande importância de teleósteos. Em Rioraja agassizi, a dieta foi considerada principalmente carcino-bentófaga, mas também com forte influência ictiófaga. Já o comportamento alimentar de Rhizoprionodon lalandii foi considerado ictio-bentófago. A dieta entre os sexos apresentou uma alta sobreposição em P. extenta, A. cyclophora e R. lalandii, mas para R. agassizi essa sobreposição foi considerada baixa. Entre os estádios de maturidade a sobreposição foi pequena para P. extenta e R. agassizi, entretanto para A. cyclophora e R. lalandii essa sobreposição foi elevada. Os exemplares maiores, aparentemente apresentaram preferência a se alimentarem de peixes, enquanto que predadores de menor porte se restringem aos invertebrados, basicamente crustáceos. Para todas as espécies foram identificadas alterações sazonais na importância dos itens alimentares, que pode ser explicado pelas oscilações naturais na composição e abundancia das presas potenciais em consequência das variações das massas de água na plataforma continental do sul fluminense. Os resultados indicaram a formação de 2 guildas, sendo a guilda 1 composta por P. rutrum e P extenta e com uma dieta principalmente de crustáceos (camarões) e a guilda 2 composta por A. cyclophora, R. agassizi e R. lalandii apresentando uma alimentação em Crustáceos e em Teleósteos.

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This article reports on the development of the managerial ethical profile (MEP) scale. The MEP scale is a multilevel, self-reporting scale measuring the perceived influence that different dimensions of common ethical frameworks have on managerial decision making. The MEP scale measures on eight subscales: economic egoism, reputational egoism, act utilitarianism, rule utilitarianism, self-virtue of self, virtue of others, act deontology, and rule deontology. Confirmatory factor analysis (CFA) was used to provide evidence of scale validity. Future research needs and the value of this measure for business ethics are discussed.

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In this paper we explore the ability of a recent model-based learning technique Receding Horizon Locally Weighted Regression (RH-LWR) useful for learning temporally dependent systems. In particular this paper investigates the application of RH-LWR to learn control of Multiple-input Multiple-output robot systems. RH-LWR is demonstrated through learning joint velocity and position control of a three Degree of Freedom (DoF) rigid body robot.

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The Multidimensional Loss Scale: Initial Development and Psychometric Evaluation The Multidimensional Loss Scale (MLS) represents the first instrument designed specifically to measure loss in refugee populations. Researchers developed initial items of the Multidimensional Loss Scale to assess Experience of Loss Events and Loss Distress in a culturally sensitive manner across multiple domains (social, material, intra-personal and cultural). A sample of 70 recently settled Burmese adult refugees completed a battery of questionnaires, including new scale items. Analyses explored the scale’s factor structure, internal consistency, convergent validity and divergent validity. Principal Axis Factoring supported a five-factor model: Loss of Symbolic Self, Loss of Interdependence, Loss of Home, Interpersonal Loss, and Loss of Intrapersonal Integrity. Chronbach’s Alphas indicated satisfactory internal consistency for Experience of Loss Events (.85) and Loss Distress (.92). Convergent and divergent validity of Loss Distress were supported by moderate correlations with interpersonal grief and trauma symptoms and weak correlations with depression and anxiety. The new scale was well received by people from refugee backgrounds and shows promise for application in future research and practice

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The validity of the Multidimensional School Anger Inventory (MSAI) was examined with adolescents from 5 Pacific Rim countries (N ¼ 3,181 adolescents; age, M ¼ 14.8 years; 52% females). Confirmatory factor analyses examined configural invariance for the MSAI’s anger experience, hostility, destructive expression, and anger coping subscales. The model did not converge for Peruvian students. Using the top 4 loaded items for anger experience, hostility, and destructive expression configural invariance and partial metric and scalar invariances were found. Latent means analysis compared mean responses on each subscale to the U.S. sample. Students from other countries showed higher mean responses on the anger experience subscale (ds ¼ .37–.73). Australian (d ¼ .40) and Japanese students (d ¼ .21) had significantly higher mean hostility subscale scores. Australian students had higher mean scores on the destructive expression subscale (d ¼ .30), whereas Japanese students had lower mean scores (d ¼ 2.17). The largest latent mean gender differences (females lower than males) were for destructive expression among Australian (d ¼ 2.67), Guatemalan (d ¼ 2.42), and U.S. (d ¼ 2.66) students. This study supported an abbreviated, 12-item MSAI with partial invariance. Implications for the use of the MSAI in comparative research are discussed.

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Too often the relationship between client and external consultants is perceived as one of protagonist versus antogonist. Stories on dramatic, failed consultancies abound, as do related anecdotal quips. A contributing factor to many "apparently" failed consultancies is a poor appreciation by both the client and consultant of the client's true goals for the project and how to assess progress toward these goals. This paper presents and analyses a measurement model for assessing client success when engaging an external consultant. Three main areas of assessment are identified: (1) the consultant;s recommendations, (2) client learning, and (3) consultant performance. Engagement success is emperically measured along these dimensions through a series of case studies and a subsequent survey of clients and consultants involved in 85 computer-based information system selection projects. Validation fo the model constructs suggests the existence of six distinct and individually important dimensions of engagement success. both clients and consultants are encouraged to attend to these dimensions in pre-engagement proposal and selection processes, and post-engagement evaluation of outcomes.

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Although frontline employees' bending of organizational rules and norms for customers is an important phenomenon, marketing scholars to date only broadly describe over-servicing behaviors and provide little distinction among deviant behavioral concepts. Drawing on research on pro-social and pro-customer behaviors and on studies of positive deviance, this paper develops and validates a multi-faceted, multi-dimensional construct term customer-oriented deviance. Results from two samples totaling 616 frontline employees (FLEs) in the retail and hospitality industries demonstrate that customer-oriented deviance is a four-dimensional construct with sound psychometric properties. Evidence from a test of a theoretical model of key antecedents establishes nomological validity with empathy/perspective-taking, risk-taking propensity, role conflict, and job autonomy as key predictors. Results show that the dimensions of customer-oriented deviance are distinct and have significant implications for theory and practice.

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Diverse morphologies of multidimensional hierarchical single-crystalline ZnO nanoarchitectures including nanoflowers, nanobelts, and nanowires are obtained by use of a simple thermal evaporation and vapour-phase transport deposition technique by placing Au-coated silicon substrates in different positions inside a furnace at process temperatures as low as 550 °C. The nucleation and growth of ZnO nanostructures are governed by the vapour–solid mechanism, as opposed to the commonly reported vapour–liquid–solid mechanism, when gold is used in the process. The morphological, structural, compositional and optical properties of the synthesized ZnO nanostructures can be effectively tailored by means of the experimental parameters, and these properties are closely related to the local growth temperature and gas-phase supersaturation at the sample position. In particular, room-temperature photoluminescence measurements reveal an intense near-band-edge ultraviolet emission at about 386 nm for nanobelts and nanoflowers, which suggests that these nanostructures are of sufficient quality for applications in, for example, optoelectronic devices.

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Engagement has emerged as important concept in public relations, as stakeholders challenge the discourse of organizational primacy and organizations prioritize the need for authentic stakeholder involvement. As a multidimensional concept, engagement offers a foundation for building organizational relationships, and provides a means to facilitate community–organization interaction. This special issue on engagement and public relations presents a body of work that both explicates and expands the theoretical foundations of engagement, and contributes to scholarly understanding of its contexts, processes, and outcomes.

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Multidimensional data are getting increasing attention from researchers for creating better recommender systems in recent years. Additional metadata provides algorithms with more details for better understanding the interaction between users and items. While neighbourhood-based Collaborative Filtering (CF) approaches and latent factor models tackle this task in various ways effectively, they only utilize different partial structures of data. In this paper, we seek to delve into different types of relations in data and to understand the interaction between users and items more holistically. We propose a generic multidimensional CF fusion approach for top-N item recommendations. The proposed approach is capable of incorporating not only localized relations of user-user and item-item but also latent interaction between all dimensions of the data. Experimental results show significant improvements by the proposed approach in terms of recommendation accuracy.

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In recommender systems based on multidimensional data, additional metadata provides algorithms with more information for better understanding the interaction between users and items. However, most of the profiling approaches in neighbourhood-based recommendation approaches for multidimensional data merely split or project the dimensional data and lack the consideration of latent interaction between the dimensions of the data. In this paper, we propose a novel user/item profiling approach for Collaborative Filtering (CF) item recommendation on multidimensional data. We further present incremental profiling method for updating the profiles. For item recommendation, we seek to delve into different types of relations in data to understand the interaction between users and items more fully, and propose three multidimensional CF recommendation approaches for top-N item recommendations based on the proposed user/item profiles. The proposed multidimensional CF approaches are capable of incorporating not only localized relations of user-user and/or item-item neighbourhoods but also latent interaction between all dimensions of the data. Experimental results show significant improvements in terms of recommendation accuracy.

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Classroom support plays a salient role in successful inclusive education, hence it has been widely debated in the literature. Much extant work has only focused on a particular aspect of classroom support. A comprehensive, systematic discussion of classroom support is sporadic in the literature. Relevant research concerning the Chinese context is even more limited. To address this gap, our study developed and validated a multidimensional classroom support model conducive to teachers’ inclusive education practices. Data were drawn from our large-scale survey with inclusive education teachers in Beijing. Further analyses were conducted to compare different dimensions within the classroom support model. Drawing insights from the results, we provide some recommendations for practice and research.