850 resultados para Métodos de seleção - Melhoramento genético
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Pós-graduação em Genética e Melhoramento Animal - FCAV
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Agronomia (Proteção de Plantas) - FCA
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Pós-graduação em Agronomia (Produção Vegetal) - FCAV
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Pós-graduação em Genética e Melhoramento Animal - FCAV
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Pós-graduação em Ciência e Tecnologia Animal - FEIS
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The continuous advance of the Brazilian economy and increased competition in the heavy equipment market, increasingly point to the need for accurate sales forecasting processes, which allow an optimized strategic planning and therefore better overall results. In this manner, we found that the sales forecasting process deserves to be studied and understood, since it has a key role in corporate strategic planning. Accurate forecasting methods enable direction of companies to circumvent the management difficulties and the variations of finished goods inventory, which make companies more competitive. By analyzing the stages of the sales forecasting it was possible to observe that this process is methodical, bureaucratic and demands a lot of training for their managers and professionals. In this paper we applied the modeling method and the selecting process which has been done for Armstrong to select the most appropriate technique for two products of a heavy equipment industry and it has been through this method that the triple exponential smoothing technique has been chosen for both products. The results obtained by prediction with the triple exponential smoothing technique were better than forecasts prepared by the industry experts
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The catalytic function of extended-spectrum β-lactamases can result in high degrees of bacterial resistance to β-lactamic antimicrobials and in the emergence of ESBL among the members of Enterobacteriaceae family, especially Klebsiella pneumoniae and Escherichia coli. This occurs due to the dissemination and emergence of new variants of these enzymes caused by the high utilization of antibiotics like broad-spectrum cephalosporins. The ESBL are β-lactamases capable of conferring bacterial resistance to the penicillins, 1st, 2nd and 3rd generation cephalosporins, and aztreonam (but not cephamycins and carbapenems) through the hydrolysis of these antibiotics. In view of this phenomenon, the exact screening and detection of the producers of ESBL are essential for the appropriate selection of the antimicrobial therapy. The purposes of this study were to evaluate the best antimicrobial for the selection of ESBL producers and to determine the best method for the detection of such microorganisms. We evaluated 200 sequential bacterial samples including the species Klebsiella pneumoniae (56.5%), Escherichia coli (34%), Proteus mirabilis (8.5%) and Klebsiella oxytoca (1%), previously characterized as ESBL producers between February and September 2008 in the Laboratory of Microbiology, Botucatu Medical School - UNESP, Botucatu, São Paulo State, Brazil. To select the ESBL-producer bacteria, we used the disks recommended by CLSI 2008, aztreonam (ATM), cefpodoxime (CPD), ceftriaxone (CRO), cefotaxime (CTX) and ceftazidime (CAZ), besides cefepime (FEP). ESBL production was confirmed by three methods: double disk screening, ESBL Etest®, and Vitek® automated system. The disks employed in the double disk screening were: penicillin associated with β-lactamase inhibitor, amoxicillin-clavulanic acid, and two β-lactamic antibiotics, ceftazidime and cefotaxime...(Complete abstract click electronic access below)
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The vehicle routing problem is to nd a better route to meet a set of customers who are geographically dispersed using vehicles that are a central repository to which they return after serving customers. These customers have a demand that must be met. Such problems have a wide practical application among them we can mention: school transport, distribution of newspapers, garbage collection, among others. Because it is a classic problem as NP-hard, these problems have aroused interest in the search for viable methods of resolution. In this paper we use the Genetic Algorithm as a resolution
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L’audit, c’est un outil de gestion très important pour que les organisations puissent accomplir la réussite. Selon le fait qu’il n’y a pas des modèles d’aide à l’audit, il existe une opportunité de recherche. En considerant les Méthodes d’Aide à la Décision, il y a des plusieurs type d’applications. L’objectif de la recherche c’est la proposition d’un modèle capable de sélectionner des processus pour faire l’audit dans une distributeur de carburant en considerant la prise de décision en groupe. La modélisation normative empirique c’est la méthode de recherche utilisée. Un modèle qui utilise l’Analytic Hierarchy Process (AHP) et la prise de décision en groupe a été proposé face aux difficultés d’un département d’Audit Interne. Le modèle proposé présente les poids des processus et permet leur priorisations dans un scénario determiné. Pour l’application de ce modèle présenté, on a utilisé cinq critères et 26 alternative (processus). L’information de jugement a été bien founi par trois spécialistes du département. Quelques rendez-vous avec les participants ont été pris pour obtenir et réviser les donnés ainsi que discuter les résultats. Les résultats obtenus par le modèle permettent d’identifier les processus qu’il faut plus d’attention. L’équipe a considéré le modèle comme une proposition d’aide à la prise de décision très pertinent pour le département d’Audit Interne
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Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV
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Pós-graduação em Ciência e Tecnologia Animal - FEIS
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Pós-graduação em Agronomia - FEIS
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Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV
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Pós-graduação em Agronomia (Proteção de Plantas) - FCA