975 resultados para answers


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Tese de doutoramento, Belas-Artes (Ciências da Arte), Universidade de Lisboa, Faculdade de Belas-Artes, 2014

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Tese de doutoramento, Educação (Avaliação em Educação), Universidade de Lisboa, Instituto de Educação, 2014

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Relatório da Prática de Ensino Supervisionada, Mestrado em Ensino de Inglês e Espanhol, Universidade de Lisboa, 2014

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Tese de doutoramento, Informática (Ciências da Computação), Universidade de Lisboa, Faculdade de Ciências, 2015

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Tese de doutoramento, Educação (Psicologia da Educação), Universidade de Lisboa, Instituto de Educação, 2016

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Tese de doutoramento, História (História e Cultura das Religiões), Universidade de Lisboa, Faculdade de Letras, 2016

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G.H. Mead (1863-1931) oriented much of his intellectual efforts around three unavoidable questions for anyone living in a modern society: how are selfhood, knowledge, and politics understood and organized in such a society? Modern individuals continually seek answers to questions although nobody has ever come up with a definitive answer to them. Modernity, in other words, confronts us with inevitable problematics that fundamentally shape the way in which we think about certain topics. For the purposes of my discussion of Mead, I focus upon three of these modern problematics: science, selfhood, and democratic politics. But before I discuss Mead’s treatment of these problem areas, allow me to briefly situate Mead as a pragmatist in relation to Dewey and James within pragmatism.

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It is now well established that some patients who are diagnosed as being in a vegetative state or a minimally conscious state show reliable signs of volition that may only be detected by measuring neural responses. A pertinent question is whether these patients are also capable of logical thought. Here, we validate an fMRI paradigm that can detect the neural fingerprint of reasoning processes and moreover, can confirm whether a participant derives logical answers. We demonstrate the efficacy of this approach in a physically non-communicative patient who had been shown to engage in mental imagery in response to simple audi- tory instructions. Our results demonstrate that this individual retains a remarkable capacity for higher cogni- tion, engaging in the reasoning task and deducing logical answers. We suggest that this approach is suitable for detecting residual reasoning ability using neural responses and could readily be adapted to assess other aspects of cognition.

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Long-term contractual decisions are the basis of an efficient risk management. However those types of decisions have to be supported with a robust price forecast methodology. This paper reports a different approach for long-term price forecast which tries to give answers to that need. Making use of regression models, the proposed methodology has as main objective to find the maximum and a minimum Market Clearing Price (MCP) for a specific programming period, and with a desired confidence level α. Due to the problem complexity, the meta-heuristic Particle Swarm Optimization (PSO) was used to find the best regression parameters and the results compared with the obtained by using a Genetic Algorithm (GA). To validate these models, results from realistic data are presented and discussed in detail.

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Short-term risk management is highly dependent on long-term contractual decisions previously established; risk aversion factor of the agent and short-term price forecast accuracy. Trying to give answers to that problem, this paper provides a different approach for short-term risk management on electricity markets. Based on long-term contractual decisions and making use of a price range forecast method developed by the authors, the short-term risk management tool presented here has as main concern to find the optimal spot market strategies that a producer should have for a specific day in function of his risk aversion factor, with the objective to maximize the profits and simultaneously to practice the hedge against price market volatility. Due to the complexity of the optimization problem, the authors make use of Particle Swarm Optimization (PSO) to find the optimal solution. Results from realistic data, namely from OMEL electricity market, are presented and discussed in detail.

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Projeto de Intervenção apresentado à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Educação Artística - Especialidade Teatro na Educação

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Dissertação apresentada à Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Audiovisual e Multimédia.

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Dissertação de natureza científica realizada para obtenção do grau de Mestre em Engenharia Informática e de Computadores

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Dissertação de Mestrado Apresentado ao Instituto de Contabilidade e Administração do Porto para a obtenção do grau de Mestre em Auditoria, sob orientação de Doutora Alcina Portugal Dias

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)