29 resultados para CLUSTERS (ANÁLISE)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA
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Pós-graduação em Ciências Biológicas (Genética) - IBB
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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A expansão da obesidade em diversos países do mundo na última década tem resultado no aumento da morbidade e mortalidade por hipertensão arterial e suas complicações. O objetivo deste trabalho é analisar a distribuição espacial da obesidade e hipertensão arterial no estado de São Paulo no período de 2000 a 2010, a partir de registros hospitalares e internação do Sistema de Informações Hospitalares do Sistema Único de Saúde (SIH - SUS). Foram utilizados coeficientes de prevalência das doenças em cada município suavizadas pelo método bayesiano empírico, permitindo uma visualização do padrão espacial dessas morbidades no Estado. Foi explorada a dependência espacial destes padrões verificando a autocorrelação entre os indicadores por meio do cálculo do Índice de Autocorrelação Espacial de Moran. Além disso, estudou-se a correlação positiva (Pearson) entre obesidade e hipertensão. Os dados e os mapas mostraram clusters de 87 municípios onde há maior e menor prevalência de hipertensão e obesidade no espaço com forte autocorrelação entre os municípios vizinhos. O coeficiente correlação de Pearson encontrado para esses municípios foi de 0,404 e sugere associação entre as morbidades. As técnicas de análise espacial mostraram-se úteis para o planejamento de ações de saúde pública.
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This piece of research aims at analyzing the absolute and relative co-citation indicators, especially Salton’s Cosine and comparing the contribution of these indicators to the understanding of a domain, applying them to the universe of "Metric Studies" at the BRAPCI base. It also aims at presenting the co-citation network generated from the absolute frequencies and highlighting the groupings of co-cited authors, depending on the relative values, integrating and explaining the information from the two indexes. The domain analysis, by means of its 11 approaches, including “Bibliometric Studies”, focuses on the science characterization and evaluation, in that it allows us to identify and to analyze the conditions under which the scientific knowledge is constructed and socialized. In these studies, the contribution of citation and co-citation analysis is highlighted. Of the total of 147 articles retrieved at BRAPCI base, the authors cited in at least 11 articles, in a total of 38 researchers, were selected. The 38 x 38 symmetric matrix with the absolute frequencies of co-citation and the matrix with the relative values of Salton’s Cosine were generated. The co-citation network with absolute frequency values were constructed, through Ucinet software. Cluster analysis of data with relative values wer performed, using the SPSS software. Significant differences between the absolute and relative indexes, with some high absolute values of co-citation were observed; when considered in relation to the presence of each author, their significance is decreased. As to the generated network, seven groups were determined, in which only one is established for close themes and comes from co-citations in the original sense of the term. Five groups present closeness in absolute and relative indicators. It can be concluded about the importance of the studies of authors' co-citation analysis, which associate the two indexes, absolute and relative, in order to visualize and understand the underlying structures of a scientific domain.
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Pós-graduação em Biociências - FCLAS
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The primary objective of this study was to verify the existence of internal organization and processes influencing the decisions on adoption, choice, justification and implementation of innovative practices of scientific and technical activities undertaken in the elaborates of sugar, ethanol and energy companies of the midwest of the state of Sao Paulo. Using multivariate analysis of principal components and clusters, the variables were analyzed and the companies, classified. The taxonomy model adapted to contemporary situations described by Freeman (1975), was the 'parameter used with research information in personal interviews by semi-structured questionnaires. The investigated activities constituted of: basic research; applied research; experimental development; scientific and technical information; long-term planning. The variables analyzed were: production processes, operating systems, development of new products, projects and implementation of pilot plant for new products, development, knowledge, studies of other business segments, number of innovations, and the number of existing employees in the organizational structure for these purposes. It was concluded that the best companies with innovative attitudes are those that have incorporated into their organizational the structures, practices and techniques of scientific activities.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)