961 resultados para CONTINUOUS-VARIABLES
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The following is a report on a case-control study whose objective was to investigate the association between distressing non-work-related events and occupational injures. Ninety three injured workers (cases) were matched with 372 non-injured controls in a large metallurgical factory in southeastern Brazil. Exposure to distressing non-work-related events was measured through a questionnaire focusing on situations pertaining to personal problems unrelated to work activities. The data were analyzed by adjusting a conditional logistic regression model, where occurrence of the work injury was the dependent dichotomous variable and answers from the questionnaire were independent continuous variables. The analysis showed an association between some distressing non-work-related events and occupational injuries. These findings imply expanding the horizon of preventive measures used in targeting. work injuries which have traditionally been focused on the control of strictly workplace risks.
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In this paper, a method for solving the short term transmission network expansion planning problem is presented. This is a very complex mixed integer nonlinear programming problem that presents a combinatorial explosion in the search space. In order to And a solution of excellent quality for this problem, a constructive heuristic algorithm is presented in this paper. In each step of the algorithm, a sensitivity index is used to add a circuit (transmission line or transformer) or a capacitor bank (fixed or variable) to the system. This sensitivity index is obtained solving the problem considering the numbers of circuits and capacitors banks to be added (relaxed problem), as continuous variables. The relaxed problem is a large and complex nonlinear programming and was solved through a higher order interior point method. The paper shows results of several tests that were performed using three well-known electric energy systems in order to show the possibility and the advantages of using the AC model. ©2007 IEEE.
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An optimization technique to solve distribution network planning (DNP) problem is presented. This is a very complex mixed binary nonlinear programming problem. A constructive heuristic algorithm (CHA) aimed at obtaining an excellent quality solution for this problem is presented. In each step of the CHA, a sensitivity index is used to add a circuit or a substation to the distribution network. This sensitivity index is obtained solving the DNP problem considering the numbers of circuits and substations to be added as continuous variables (relaxed problem). The relaxed problem is a large and complex nonlinear programming and was solved through an efficient nonlinear optimization solver. A local improvement phase and a branching technique were implemented in the CHA. Results of two tests using a distribution network are presented in the paper in order to show the ability of the proposed algorithm. ©2009 IEEE.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The optimal reactive dispatch problem is a nonlinear programming problem containing continuous and discrete control variables. Owing to the difficulty caused by discrete variables, this problem is usually solved assuming all variables as continuous variables, therefore the original discrete variables are rounded off to the closest discrete value. This approach may provide solutions far from optimal or even unfeasible solutions. This paper presents an efficient handling of discrete variables by penalty function so that the problem becomes continuous and differentiable. Simulations with the IEEE test systems were performed showing the efficiency of the proposed approach. © 1969-2012 IEEE.
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PURPOSE: To describe the anthropometric and pregnancy characteristics of women with HIV/AIDS, assisted by the Brazilian National Health System and the birth weight of their newborns. METHODS: The participants were women assisted at public STD/AIDS clinics of the Municipal Health system of São Paulo. The anthropometric characteristics were evaluated by trained nutritionists and other information was obtained from the medical records. For comparison of the survey data to those of the general population, secondary maternal and pregnancy data were obtained from live birth certificates through the Live Birth Information System. Continuous variables were summarized as mean and standard deviation or as the 25th, 50th and 75th percentiles and minimum and maximum values. The other variables are presented as percentages. Means were compared by the Student's t-test or Kruskal-Wallis test depending on the fulfillment of assumptions, with the decision based on the p value. RESULTS: We found the presence of inadequate maternal nutrition according to triceps skinfold (60.9%). The BMI/gestational age showed the presence of underweight (18.5%) and overweight or obesity (40%). There was no association between disease status (HIV or AIDS) and weight, height, and lean or fat mass. Mean newborn birth weight was lower than the value for the general population without infection or disease. The results of this study indicate the need to develop adapted curves to allow a more accurate nutritional assessment of this population group.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Pós-graduação em Geociências e Meio Ambiente - IGCE
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Zootecnia - FMVZ
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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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Pós-graduação em Saúde Coletiva - FMB
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)