580 resultados para Indução de ovulação
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The objective of this work was to evaluate the effect of different artemisinin concentrations in the flowering induction of A. annua. Two genotypes of A. annua (CPQBA 239x1V and 3MxPOP) were atomized with four different artemisinin concentrations (0, 500, 5000, and 10000 mg L-1). The application of artemisinin didn't induce the flowering of both genotypes tested, in none of the used concentrations.
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This study was carried out with the objective of examining the effect of the short-term estrus synchronization protocol. Ewes were divided in four groups: Control Group (MAP sponges for 12 days, and eCG at withdrawal); Groups I, II and III used the sponge for four days, and 100 μg of PGF was applied at withdrawal; and additionally, Group I (0.1 mg of Estradiol benzoate - EB, in the sponge placement, and in the withdrawn 400 UI of eCG and 50 μg of GnRH 48h later); Group II (35 mg of injectable progesterone and 0.1 mg of EB in the sponge placement, and 400 UI of eCG at withdrawal, and 50 μg of GnRH 48h after); Group III (35 mg of injectable progesterone and 0.2 mg of EB in the sponge placement, and 400 UI of eCG at withdrawal, and 50 ?g of GnRH 56h after). Exams were accomplished for ultrasound and determine the plasmatic concentrations of progesterone and observations of the beginning the estrus and the ovulation. The lack of eCG in Group I caused this protocol to be less efficacious in induction and synchronization of estrus and ovulation. The Control Group had a greater synchronization of estrus and ovulation.
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This paper presents a methodology and software for hazard rate analysis of induction type watt-hour meters, considering the main variables related with the degradation process of these meters, for the Elektro Electricity and Services SA. The modeling developed to calculate the watt-hour meters hazard rate was implemented in a tool through a user friendly platform, in Delphi language, enabling not only hazard rate analysis, but also a classification by risk range, localization of installation for the analyzed meters, and, allowing, through an expert system, the sampling of induction type watt-hour meters, based on the model risk developed with artificial intelligence, with the mainly goal of follow and manage the process of degradation, maintenance and replacement of these meters. © 2010 IEEE.
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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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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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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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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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Pós-graduação em Engenharia Elétrica - FEIS
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Pós-graduação em Ciências da Motricidade - IBRC
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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)