5 resultados para Dados correlacionados

em Repositório Institucional da Universidade Estadual de São Paulo - UNESP


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Survivin protein is an inhibitor of apoptosis that plays a role in cell cycle control and the mechanism of carcinogenesis. The aim of this study was to verify the clinic pathological correlation of survivin expression in exfoliative cytology of chronic smokers, mucosa of patients with intra-oral squamous cell carcinoma (OSCC) and also from mucosa after surgical removal of OSCC. Patients were divided in 03 groups: Group 1: 26 patients who smoked more than 20 cigarettes/day/10years with no history of oral malignant neoplasm, or any clinical sign visible at examination. Group 2: 26 patients who had OSCC and Group 3: 22 patients surgically treated of OSCC for at least 01 month. Immunohistochemistry of the smears from each group was analyzed by light microscopy to extent and intensity of survivin positive cells. Survivin expression was observed in 100% of cases in group 1, 88.5% in group 2 and 100% in group 3. Groups 1 and 3 showed cytoplasmic expression in 100% of the cases, while group 2 showed it in 87.5%. Cytoplasmic and nuclear expression was 7.69% observed only in group 2. The results were association with clinicopathological data by Fisher's exact test and it was significant to smoke cessation in group 2 on intensity (p=0.015) of survivin expression. The intensity of survivin expression was related to smoking cessation in group 2. Smoking history (pack/years) showed no influence survivin expression

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The pharmaceutical industry was consolidated in Brazil in the 1930s, and since then has become increasingly competitive. Therefore the implementation of the Toyota Production System, which aims to lean production, has become common among companies in the segment. The main efficiency indicator currently used is the Overall Equipment Effectiveness (OEE). This paper intends to, using the fuzzy model DEA-BCC, analyze the efficiency of the production lines of a pharmaceutical company in the Paraíba Valley, compare the values obtained by the model with those calculated by the OEE, identify the most sensitive machines to variation in the data input and develop a ranking of effectiveness between the consumer machinery. After the development, it is shown that the accuracy of the relationship between the two methods is approximately 57% and the line considered the most effective by the Toyota Production System is not the same as the one found by this paper

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Considering the high competitivity in the market, the application of quantitative methods can assist in analyzing the efficiency of production facilities of areas of export and import processes of the chemical industry sector. In this sense, this work aims to apply the model GPDEA-BCC optimization in order to develop an analysis of the production units of this chemical industry. So, were chosen variables relevant to the process and elaborated a final comparison between the results obtained by the optimization tool and performance indexes provided by the company. These results indicated that some production units should be monitored more carefully because some of them had a low efficiency when analyzed with multi criteria

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Pós-graduação em Engenharia Mecânica - FEG