144 resultados para Mathematical modeling.
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Pós-graduação em Educação Matemática - IGCE
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Engenharia Mecânica - FEG
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Pós-graduação em Engenharia Mecânica - FEG
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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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In this article we aim to broaden the discussion about mathematical education of students of Middle Level Professional Education in Brazil (EPTNM), focusing on the issue of interdisciplinarity, emphasized in official documents as one of the organizing axes of the curriculum for this type of education. Studies in this field are justified by the growth of this modality in the Brazilian educational system, as well as the lack of specific investigations in the field of Mathematics Education about it. Our research is guided by the questions: Can the adoption of an interdisciplinary approach to organizing the curriculum contribute to building links between technical professional education and the more academic education characteristic of Middle Level education? What are its potentialities for promoting more meaningful learning of mathematical content in this type of education? We conclude that the superficiality with which the theme of interdisciplinarity has been handled, and the lack of contextualization in other research related to it in mathematics education, are some of the reasons for not implementing the idea successfully. In this article, we discuss the contribution of different authors who research the theme and include proposals to explore Ethnomathematics and Modeling as possibilities for curriculum enrichment of the EPTNM, linking different areas of knowledge and contextualizing math in the reality of the world of work.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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This is a preliminary theoretical discussion on the computational requirements of the state of the art smoothed particle hydrodynamics (SPH) from the optics of pattern recognition and artificial intelligence. It is pointed out in the present paper that, when including anisotropy detection to improve resolution on shock layer, SPH is a very peculiar case of unsupervised machine learning. On the other hand, the free particle nature of SPH opens an opportunity for artificial intelligence to study particles as agents acting in a collaborative framework in which the timed outcomes of a fluid simulation forms a large knowledge base, which might be very attractive in computational astrophysics phenomenological problems like self-propagating star formation.
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The Finite Element Method (FEM) is a way of numerical solution applied in different areas, as simulations used in studies to improve cardiac ablation procedures. For this purpose, the meshes should have the same size and histological features of the focused structures. Some methods and tools used to generate tetrahedral meshes are limited mainly by the use conditions. In this paper, the integration of Open Source Softwares is presented as an alternative to solid modeling and automatic mesh generation. To demonstrate its efficiency, the cardiac structures were considered as a first application context: atriums, ventricles, valves, arteries and pericardium. The proposed method is feasible to obtain refined meshes in an acceptable time and with the required quality for simulations using FEM.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Engenharia Mecânica - FEB
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)