984 resultados para Quantum many-body systems
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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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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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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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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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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Atualmente pode-se observar a importância da atividade física na vida diária da população promovendo, além dos benefícios físicos, benefícios sociais e psicológicos. Nesse sentido a atividade física, mais especificamente a ginástica sistematizada (Body Systems), hoje em dia adepta a boa parcela da população, se tornou importante para seus praticantes, visando à prevenção de lesões, normalizando as funções corporais e proporcionando descontração e socialização. O objetivo geral deste trabalho foi analisar a interferência das aulas de ginástica sistematizadas nos estados de ânimo de seus participantes. Participaram do estudo 35 indivíduos, de ambos os gêneros, estudantes do curso de Educação Física da UNESP de Rio Claro, SP, com disponibilidade para executar as intervenções semanais e que pudessem responder as listas de estados de animo (LEA-RI) antes e após a aula. Neste estudo foram analisados três estilos diferentes de ginástica, a ginástica com pesos, BODYPUMP, a ginástica cardiorrespiratória, BODYATTACK e a ginástica de condicionamento postural que provém de técnicas como o Yoga e o Pilates, o BODYBALANCE. Com base na analise binomial foi possível chegar a alguns resultados significativos quanto à interferência das aulas de ginástica nos estados de animo de seus praticantes. Ao praticar a aula de BODYBALANCE as pessoas se sentiram mais felizes, mais leves e menos desagradáveis correspondendo a proposta da aula. Com o BODYPUMP as pessoas se sentiram mais pesadas e na aula de BODYATTACK sentiram-se além de mais pesadas, menos tímidas, ou melhor, mais descontraídas. Isso mostra que as aulas de ginastica podem ser utilizadas não apenas para benefícios físicos, mas também com objetivos de direcionar para a alteração de determinados aspectos psicológicos
Singular value analyses of voltage stability on power system considering wind generation variability
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Pós-graduação em Engenharia Elétrica - FEIS
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Engenharia Mecânica - FEIS
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In this work, we report the construction of potential energy surfaces for the (3)A '' and (3)A' states of the system O(P-3) + HBr. These surfaces are based on extensive ab initio calculations employing the MRCI+Q/CBS+SO level of theory. The complete basis set energies were estimated from extrapolation of MRCI+Q/aug-cc-VnZ(-PP) (n = Q, 5) results and corrections due to spin-orbit effects obtained at the CASSCF/aug-cc-pVTZ(-PP) level of theory. These energies, calculated over a region of the configuration space relevant to the study of the reaction O(P-3) + HBr -> OH + Br, were used to generate functions based on the many-body expansion. The three-body potentials were interpolated using the reproducing kernel Hilbert space method. The resulting surface for the (3)A '' electronic state contains van der Waals minima on the entrance and exit channels and a transition state 6.55 kcal/mol higher than the reactants. This barrier height was then scaled to reproduce the value of 5.01 kcal/mol, which was estimated from coupled cluster benchmark calculations performed to include high-order and core-valence correlation, as well as scalar relativistic effects. The (3)A' surface was also scaled, based on the fact that in the collinear saddle point geometry these two electronic states are degenerate. The vibrationally adiabatic barrier heights are 3.44 kcal/mol for the (3)A '' and 4.16 kcal/mol for the (3)A' state. (C) 2012 American Institute of Physics. [http://dx.doi.org/10.1063/1.4705428]
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Complex networks have been employed to model many real systems and as a modeling tool in a myriad of applications. In this paper, we use the framework of complex networks to the problem of supervised classification in the word disambiguation task, which consists in deriving a function from the supervised (or labeled) training data of ambiguous words. Traditional supervised data classification takes into account only topological or physical features of the input data. On the other hand, the human (animal) brain performs both low- and high-level orders of learning and it has facility to identify patterns according to the semantic meaning of the input data. In this paper, we apply a hybrid technique which encompasses both types of learning in the field of word sense disambiguation and show that the high-level order of learning can really improve the accuracy rate of the model. This evidence serves to demonstrate that the internal structures formed by the words do present patterns that, generally, cannot be correctly unveiled by only traditional techniques. Finally, we exhibit the behavior of the model for different weights of the low- and high-level classifiers by plotting decision boundaries. This study helps one to better understand the effectiveness of the model. Copyright (C) EPLA, 2012
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We propose a novel mathematical approach for the calculation of near-zero energy states by solving potentials which are isospectral with the original one. For any potential, families of strictly isospectral potentials (with very different shape) having desirable and adjustable features are generated by supersymmetric isospectral formalism. The near-zero energy Efimov state in the original potential is effectively trapped in the deep well of the isospectral family and facilitates more accurate calculation of the Efimov state. Application to the first excited state in He-4 trimer is presented.