8 resultados para Special operations (Military science)
em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"
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Pós-graduação em Relações Internacionais (UNESP - UNICAMP - PUC-SP) - FFC
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Pós-graduação em Artes - IA
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Pós-graduação em Relações Internacionais (UNESP - UNICAMP - PUC-SP) - FFC
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We can notice in the different sectors of the society a significant increase of individuals that possess some type of deficiency. Although there is an increasing process of inclusion, we find, even in Educational Institutions, barriers and limited conceptions on this subject. Thus, aiming at clarifying some questions related to this subject, we present some debates found in the literature about the Inclusive Education, Special Education and the construction of inclusive education strategies.
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Over the last 50 years a new research area, science education research, has arisen and undergone singular development worldwide. In the specific case of Brazil, research in science education first appeared systematically 40 years ago, as a consequence of an overall renovation in the field of science education. This evolution was also related to the political events taking place in the country. We will use the theoretical work of Rene Kaes on the development of groups and institutions as a basis for our discussion of the most important aspects that have helped the area of science education research develop into an institution and kept it operating as such. The growth of this area of research can be divided into three phases: The first was related to its beginning and early configurations; the second consisted of a process of consolidation of this institution; and the third consists of more recent developments, characterised by a multiplicity of research lines and corresponding challenges to be faced. In particular, we will analyse the special contributions to this study gleaned from the field known as the history and philosophy of science.
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This paper describes an investigation of the hybrid PSO/ACO algorithm to classify automatically the well drilling operation stages. The method feasibility is demonstrated by its application to real mud-logging dataset. The results are compared with bio-inspired methods, and rule induction and decision tree algorithms for data mining. © 2009 Springer Berlin Heidelberg.
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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)