26 resultados para Statistical tools


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Pós-graduação em Engenharia Mecânica - FEG

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This present study aimed at developing a methodology for analyzing on the feasibility of a new supplier of raw materials, industrial of aluminum production technology Soederberg. This raw material is pitch, which will be used in the manufacture of anodes for the electrolytic pot. The supplier to be analyzed is the Chemcoal of Ukrainian origin. Thereby developing techniques for a complete analysis, targeting the physical and chemical properties of pitch, economic feasibility and potential impacts on the client, potroom where these impacts may affect the production of aluminum, skimming factor, bubble noise, plasticity top anode and the anode consumption. After planning the test that was conducted on two strategies to generate greater traceability of impacts, data were collected and then it was made a statistical treatment of the data using statistical tools to generate the minitab greater reliability of results

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Pós-graduação em Biociências - FCLAS

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The present work aims at analyzing how the adoption of a proactive environmental management via green operational practices (GOPs) correlates to the Green Performance (GrP) of a given set of ISO 9001-certified firms in Brazil. To this end, we elaborated a conceptual framework about environmental management, GOPs, and GrP Such theoretical foundation supported the development of empirical research through quantitative analysis. For the analysis, 75 questionnaires were collected from ISO 9001 certified companies. Data was analyzed by with statistical tools such as descriptive analysis, correlation analysis, and Structural Equation Modeling (SEM). The results demonstrate that the adoption of GOPs, in fact, exerts a positive impact on the GrP of the firms. This work contributes to a better understanding of green manufacturing in Brazil's industrial sector

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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 Engenharia de Produção - FEG

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A methodology for analyzing the solar access and its influence on both air temperature and thermal comfort of the urban environment was here developed by applying the potentiality of GIS tools. Urban canyons in a specific area of a Brazilian medium sized city were studied. First, a computational algorithm was applied in order to allow the determination of sky view factors (SVF) and sun-paths in urban canyons. Then, air temperatures in 40 measurement points were collected within the study area. Solar radiation values of these canyons were determined and subsequently stored in a GIS database. The creation of thermal maps for the whole neighbourhood was possible due to a statistical treatment of the data, by promoting the interpolation of values. All data could then be spatially cross-examined. In addition, thermal comfort maps for summer and winter periods were generated. The methodology allowed the identification of thermal tendencies within the neighbourhood, what can be useful in the conception of guidelines for urban planning purposes.

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Objective: To compare estimation of cardiovascular risk using the Framinghan Risk Score (FRS) and the presence of the metabolic syndrome (MetS) in postmenopausal women to prevent primary cardiovascular disease (CVD). Methods: This cross-sectional study included 497 Brazilian women (aged 45 years and amenorrhea >12months). Cardiovascular risk was calculated using the FRS that includes age, total cholesterol, HDL, systolic blood pressure and smoking status. Women showing three or more of the following criteria were diagnosed with MetS: waist circumference (WC) >88cm, blood pressure 130/85mmHg, triglycerides 150mg/dl, HDL<50mg/dl and glucose 100mg/dl. For statistical analysis, the Chi-square, Fisher's exact, and logistic regression (odds ratio-OR) were used. Results: The mean age was 55.3±7.0 years and time since menopause 7.2±5.9 years. Based on FRS, 72.4% of women were classified as low-risk, 16.5% moderate risk and 11.1% a high-risk. MetS was identified in 40% of the women, and 46.2% were considered of moderate risk for CVD, while 84.9% of those without MetS were classified as low-risk (p<0.001). The risk for CVD increased significantly with age at menopause (OR1.10; 95% CI, 1.04-1.17), time since menopause (OR1.13; 95% CI, 1.08-1.18), elevated triglycerides (OR1.03; 95% CI, 1.0-1.10) and presence of MetS (OR1.72; 95% CI 1.48-1.84). Conclusions: By using only FRS to estimate cardiovascular risk, a substantial number of postmenopausal women showing evidence of MetS were not identified, even though women with MetS are at higher risk of CVD. © 2013 Informa UK Ltd.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)