99 resultados para clusters of galaxies


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Pós-graduação em Química - IQ

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Pós-graduação em Ciência dos Materiais - FEIS

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Pós-graduação em Ciência da Computação - IBILCE

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Communal nursing (an adult female allowing the offspring of another conspecific female to suckle) is a relatively frequent behavior in water buffalo (Bubalus bubalis). Fourteen lactating water buffalo cows and their nursing calves were observed at a Brazilian dairy after the cows had been milked. The two variables of greatest interest were solicitations of their own mothers and other cows by the calves, and acceptances of their own offspring and non-filial calves by the cows. Correlational analyses suggested three easily discriminable clusters of variables. Calves solicited and succeeded in suckling from their own mothers more often than they did from any other individual cow, but they solicited all other cows slightly more often than they did their own mothers. They were more likely to try to suckle other cows if they were rejected by their own mothers. Cows that had a high probability of accepting their own offspring tended to accept non-filial calves as well. Calves tended to maximize the total number rather than the probability of successful solicitations. Communal suckling was not reciprocal. Communal and filial suckling results from encounters between cows and calves performing under different motivational states. © 1991.

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Conselho Nacional de Desenvolvimento Científico e Tecnologico (CNPq)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The increase in new electronic devices had generated a considerable increase in obtaining spatial data information; hence these data are becoming more and more widely used. As well as for conventional data, spatial data need to be analyzed so interesting information can be retrieved from them. Therefore, data clustering techniques can be used to extract clusters of a set of spatial data. However, current approaches do not consider the implicit semantics that exist between a region and an object’s attributes. This paper presents an approach that enhances spatial data mining process, so they can use the semantic that exists within a region. A framework was developed, OntoSDM, which enables spatial data mining algorithms to communicate with ontologies in order to enhance the algorithm’s result. The experiments demonstrated a semantically improved result, generating more interesting clusters, therefore reducing manual analysis work of an expert.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)