994 resultados para FEEBLY COMPACT REGULAR SPACE
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A convergência da televisão digital com os jogos de computador é cada vez mais uma realidade. Neste artigo serão apresentadas três vertentes desta convergência: – a oferta de jogos pelos operadores de televisão digital e pelos canais de televisão; – a oferta de programação baseada em jogos de computador pelos canais de televisão; – a oferta de jogos com interacção via SMS pelo operadores de televisão digital e pelos canais de televisão, Em conclusão, são apresentadas duas linhas de evolução desta convergência no curto-médio prazo: 1) o lançamento de novos formatos de entretenimento, que conjugam diferentes meios (TV, Telemóvel, PC, PDA, etc) na definição de uma experiência de jogo acessível a qualquer hora e em qualquer lugar, 2) o lançamento de novos aparelhos que aliam as funcionalidades de uma consola de jogos à de uma set-top box avançada de televisão digital.
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O presente estudo tem como objetivo analisar as condições de inclusão educacional de crianças surdas em uma escola regular, a partir dos relatos de professoras que vivenciam essa prática. Para coletar informações a esse respeito, foram realizadas junto às participantes entrevistas de caráter semi-estruturado. No tratamento a esses dados foram descritas as condições de inclusão existentes na escola (campo de pesquisa), como também os significados elaborados pelas participantes acerca do aluno surdo e da inclusão do mesmo na escola regular. Os dados foram coletados em uma amostra de cinco professoras de classes regulares que possuem alunos surdos. Esses dados foram submetidos a uma análise de conteúdo manual dos mesmos no modelo de Bardin (2002). Os resultados apontam para uma visão predominantemente negativa das condições de inclusão oferecidas pela escola, consideradas como inadequadas. Isto é agravado pela insuficiência em termos de capacitação dos professores para o trabalho inclusivo. Observa-se, pois, do ponto de vista das participantes, a existência de uma discrepância entre os modelos legal e real de inclusão das crianças surdas em escola regular, que se manifesta em diversos aspectos da prática pedagógica nesse contexto.
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A temática da inclusão é uma das mais pertinentes da actualidade educativa. Inserir alunos com necessidades educativas especiais, principalmente os portadores de deficiência, nas turmas regulares e facultar-lhes os recursos humanos e materiais necessários para um pleno desenvolvimento e aproveitamento das suas capacidades, nem sempre é tarefa fácil, pois as escolas muitas vezes não estão ainda preparadas para dar resposta a essa heterogeneidade. Neste estudo pretendemos perceber o tema da inclusão nas necessidades educativas especiais, mais concretamente no Síndrome de Down. Para tal pesquisamos diversos autores para encontrar uma linha de pensamento útil e aplicável na realidade escolar. Algumas estratégias que promovem a inclusão destas crianças no ensino regular irão ser analisadas no presente trabalho.A Presente investigação resulta de uma preocupação pessoal e profissional relativa à integração de crianças com necessidades educativas especiais no ensino regular, partindo da seguinte questão: Como é que a escola pode ser inclusiva para crianças com Trissonomia 21? Segundo a legislação portuguesa, a escola deve ser inclusiva e universal, uma escola para todos, embora por vezes isto não se verifique e continua a existir alguma exclusão. Pretendemos perceber e analisar melhor esta temática colocando como hipóteses de trabalho: A escola está preparada para educar e incluir crianças com síndrome de Down e as metodologias usadas pelos docentes são eficazes nesta inclusão.
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The study of economic systems has generated deep interest in exploring the complexity of chaotic motions in economy. Due to important developments in nonlinear dynamics, the last two decades have witnessed strong revival of interest in nonlinear endogenous business chaotic models. The inability to predict the behavior of dynamical systems in the presence of chaos suggests the application of chaos control methods, when we are more interested in obtaining regular behavior. In the present article, we study a specific economic model from the literature. More precisely, a system of three ordinary differential equations gather the variables of profits, reinvestments and financial flow of borrowings in the structure of a firm. Firstly, using results of symbolic dynamics, we characterize the topological entropy and the parameter space ordering of kneading sequences, associated with one-dimensional maps that reproduce significant aspects of the model dynamics. The analysis of the variation of this numerical invariant, in some realistic system parameter region, allows us to quantify and to distinguish different chaotic regimes. Finally, we show that complicated behavior arising from the chaotic firm model can be controlled without changing its original properties and the dynamics can be turned into the desired attracting time periodic motion (a stable steady state or into a regular cycle). The orbit stabilization is illustrated by the application of a feedback control technique initially developed by Romeiras et al. [1992]. This work provides another illustration of how our understanding of economic models can be enhanced by the theoretical and numerical investigation of nonlinear dynamical systems modeled by ordinary differential equations.
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We present new populational growth models, generalized logistic models which are proportional to beta densities with shape parameters p and 2, where p > 1, with Malthusian parameter r. The complex dynamical behaviour of these models is investigated in the parameter space (r, p), in terms of topological entropy, using explicit methods, when the Malthusian parameter r increases. This parameter space is split into different regions, according to the chaotic behaviour of the models.
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The stability of the color flavor locked phase in the presence of a strong magnetic field is investigated within the phenomenological MIT bag model. It is found that the minimum value of the energy per baryon in a color flavor locked state at vanishing pressure is lower than the corresponding one for unpaired magnetized strange quark matter and, as the magnetic field increases, the energy per baryon decreases. This implies that magnetized color flavor locked matter is more stable and could become the ground state inside neutron stars. The anisotropy of the pressures is discussed. The mass-radius relation for such stars is also studied.
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This paper presents an algorithm to efficiently generate the state-space of systems specified using the IOPT Petri-net modeling formalism. IOPT nets are a non-autonomous Petri-net class, based on Place-Transition nets with an extended set of features designed to allow the rapid prototyping and synthesis of system controllers through an existing hardware-software co-design framework. To obtain coherent and deterministic operation, IOPT nets use a maximal-step execution semantics where, in a single execution step, all enabled transitions will fire simultaneously. This fact increases the resulting state-space complexity and can cause an arc "explosion" effect. Real-world applications, with several million states, will reach a higher order of magnitude number of arcs, leading to the need for high performance state-space generator algorithms. The proposed algorithm applies a compilation approach to read a PNML file containing one IOPT model and automatically generate an optimized C program to calculate the corresponding state-space.
Resumo:
The stability of the color flavor locked phase in the presence of a strong magnetic field is investigated within the phenomenological MIT bag model, taking into account the variation of the strange quark mass, the baryon density, the magnetic field, as well as the bag and gap parameters. It is found that the minimum value of the energy per baryon in a color flavor locked state at vanishing pressure is lower than the corresponding one for unpaired magnetized strange quark matter and, as the magnetic field increases, the energy per baryon decreases. This implies that magnetized colorflavor locked matter is more stable and could become the ground state inside neutron stars. The mass-radius relation for such stars is also studied.
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In music genre classification, most approaches rely on statistical characteristics of low-level features computed on short audio frames. In these methods, it is implicitly considered that frames carry equally relevant information loads and that either individual frames, or distributions thereof, somehow capture the specificities of each genre. In this paper we study the representation space defined by short-term audio features with respect to class boundaries, and compare different processing techniques to partition this space. These partitions are evaluated in terms of accuracy on two genre classification tasks, with several types of classifiers. Experiments show that a randomized and unsupervised partition of the space, used in conjunction with a Markov Model classifier lead to accuracies comparable to the state of the art. We also show that unsupervised partitions of the space tend to create less hubs.
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There exist striking analogies in the behaviour of eigenvalues of Hermitian compact operators, singular values of compact operators and invariant factors of homomorphisms of modules over principal ideal domains, namely diagonalization theorems, interlacing inequalities and Courant-Fischer type formulae. Carlson and Sa [D. Carlson and E.M. Sa, Generalized minimax and interlacing inequalities, Linear Multilinear Algebra 15 (1984) pp. 77-103.] introduced an abstract structure, the s-space, where they proved unified versions of these theorems in the finite-dimensional case. We show that this unification can be done using modular lattices with Goldie dimension, which have a natural structure of s-space in the finite-dimensional case, and extend the unification to the countable-dimensional case.
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Dissertação apresentada à Escola Superior de Educação de Lisboa para obtenção do grau de Mestre em Ciências da Educação - Especialização em Educação Especial, Domínio Cognição e Multideficiência
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Titanium films have been deposited on stainless steel metal sheets using dc magnetron sputtering technique at different substrate temperatures. The structure of the titanium films strongly depend on the substrate temperature. The titanium film deposited at the substrate temperature lower than 300 ◦C has a loose flat sheet grains structure and the titanium film prepared at the substrate temperature higher than 500 ◦C has a dense nubby grains structure. The DSSC assembled using stainless steel sheet coated with titanium film deposited at high substrate temperature has a low charge transfer resistance in the TiO2/Ti interface and results in a high conversion efficiency. The DSSC assembled using stainless steel sheet coated with titanium film deposited at temperature higher than 500 ◦C has higher conversion efficiency than that assembled using titanium metal sheet as the substrate. The maximum conversion efficiency, 2.26% is obtained for DSSC assembled using stainless steel sheet coated with titanium film deposited at 700 ◦C substrate temperature, which is about 70% of the conversion efficiency of the FTO reference cell used in this study.
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Dissertação apresentada à Escola Superior de Educação de Lisboa para a obtenção de grau de mestre em Ciências da Educação -Especialidade Educação Especial
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In this work, we present a neural network (NN) based method designed for 3D rigid-body registration of FMRI time series, which relies on a limited number of Fourier coefficients of the images to be aligned. These coefficients, which are comprised in a small cubic neighborhood located at the first octant of a 3D Fourier space (including the DC component), are then fed into six NN during the learning stage. Each NN yields the estimates of a registration parameter. The proposed method was assessed for 3D rigid-body transformations, using DC neighborhoods of different sizes. The mean absolute registration errors are of approximately 0.030 mm in translations and 0.030 deg in rotations, for the typical motion amplitudes encountered in FMRI studies. The construction of the training set and the learning stage are fast requiring, respectively, 90 s and 1 to 12 s, depending on the number of input and hidden units of the NN. We believe that NN-based approaches to the problem of FMRI registration can be of great interest in the future. For instance, NN relying on limited K-space data (possibly in navigation echoes) can be a valid solution to the problem of prospective (in frame) FMRI registration.
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Dissertação apresentada à Universidade de Cabo Verde e à Escola Superior de Educação de Lisboa para a obtenção do Grau de Mestrado em Educação Especial