959 resultados para Linear program model
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Pós-graduação em Televisão Digital: Informação e Conhecimento - FAAC
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Pós-graduação em Ciências Ambientais - Sorocaba
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Pós-graduação em Agronomia - FEIS
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Pós-graduação em Ciência e Tecnologia Animal - FEIS
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Pós-graduação em Zootecnia - FCAV
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The aim of this study was to assess the occurrence of genotype-environment interaction, as well as its effects on the magnitude of genetic parameters and the classification of Nellore breeding bulls for the trait adjusted weight at 205 days (W205) on Southern Brazil. The components of (co)variance were estimated by Bayesian inference, using a linear-linear animal model in a bi-trait analysis. The proposed model for the analyses considers as random the direct additive genetic and maternal effects and residual effects, and as fixed effects the contemporary groups, sex, season of birth and weighing, and calving age as covariable (linear and quadratic effects). The a posteriori mean estimates of the direct heritabilities for W205 in the three States varied from 0.24 in Paraná (PR) to 0.34 in Santa Catarina (SC). The estimates of maternal heritability varied from 0.23 in SC and Rio Grande do Sul (RS) to 0.28 in PR. The a posteriori mean distributions of the genetic correlation varied from 0.52 between SC and RS, to 0.84 between PR and RS, suggesting that the best breeding bulls in SC are not the same as in RS.
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Pós-graduação em Genética e Melhoramento Animal - FCAV
iCONVERT: an integrated device for the UV-assisted determination of H2S via mid-infrared gas sensors
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Fisiopatologia em Clínica Médica - FMB
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Pós-graduação em Zootecnia - FMVZ
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Pós-graduação em Física - IFT
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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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This research has as its main reference, the need to detect the development initiatives by public higher education, concepts, methods and teaching and pedagogical tools and to investigate the ability to transfer knowledge and practices of teaching and learning produced for other levels education. The task of providing appropriate training of teachers of basic education to university education is a vital political and administrative demands for a large country, which needs to adequately educate its people, so he can face in the right conditions, the huge and complex demands of regional and national development. The research presented here, aims to gauge the extent and adequacy of current media and information as tools for teaching and pedagogical transfer the knowledge and practices of teaching and learning as a tool for updating and also for training or non-presence blended Primary School Teacher Education. From the established goals will be carried out research, conceptual and field, to analyze and evaluate some educational practices and resulting forms of communication and also to assess the effects brought about by replacing the linear communication model and the model of unilateral to multilateral communication networks on digital models, and practices of schooling. The results obtained from both theoretical and practical will be on the selection of concepts, content production, methodologies and resources run by different "means" integrated with the cultural, economic and social development, both locally, regionally or nationally. The strategic aim will be to expand from the analysis, production and dissemination of concepts, methods and tools made by teachers of Basic Education and Higher Education, teaching and pedagogical possibilities of media and digital devices that are emerging as the derivation of network communication.
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Considering the importance of spatial issues in transport planning, the main objective of this study was to analyze the results obtained from different approaches of spatial regression models. In the case of spatial autocorrelation, spatial dependence patterns should be incorporated in the models, since that dependence may affect the predictive power of these models. The results obtained with the spatial regression models were also compared with the results of a multiple linear regression model that is typically used in trips generation estimations. The findings support the hypothesis that the inclusion of spatial effects in regression models is important, since the best results were obtained with alternative models (spatial regression models or the ones with spatial variables included). This was observed in a case study carried out in the city of Porto Alegre, in the state of Rio Grande do Sul, Brazil, in the stages of specification and calibration of the models, with two distinct datasets.