882 resultados para Condition indicator


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

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

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Nowadays, there is a search for knowledgment that could be applied in the solution of the problems caused by petrolific activities involving the environment, like the biodiversity preservation and the ecosystems monitoring and management. Foraminifera (Protista) are used as an important tool to the environment characterizarion, because they answer quickly to the fisic-quimic variations and indicate local alterations. The goal of this job is to create models of foraminiferal communities composition through the screening of subsuperficial samples obtained from a core collect from Bertioga Channel, Baixada Santista (SP), trying to understand the influence of the environmental variations along the time upon the indicator species presence, as well as making paleoenvironmentals reconstructions of the area. A 80 cm-core was removed in the outer edge of marsh adjacent to Bertioga Channel, not far from the confluence with the Itapanhaú River. There are presented in abundance, equitability, diversity and species richness obtained in nine samples along the sediment. The lower part of the core is compound by calcareous species (rotalideos and miliolideos) with domain Ammonia (Biofacies 1) and the intermediate and upper parts contain mainly agglutinated species (Biofacies 2 and 3, which is dominated by species of Ammotium). The qualitative and quantitative study of the microfauna of foraminifera present in the core reveals that in recent decades the sampling area passed from a condition of infra-marginal strip under significant coastal marine influence for the condition of inter-coastal swamp covered with mangrove vegetation. This change indicates that the site has undergone a process of sediment progradation, a phenomenon that may have been timely, localized, or a reflection of a relative fall in sea level at the regional level

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Pós-graduação em Medicina Veterinária - FCAV

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The scarcity of resources which frequently confronts the State, coupled with demands to provide assistance to a needy population, requires that public administrators formulate efficient and effective policies to pursue its goals. It is fundamental that such policies are based on solid information of existing conditions. As such, the availability of reliable and updated socio-economic indicators is an important tool on which to fundament public policies. The present paper aims to present a Municipal Development Index – Municipal Management Development Index (IDGM) – calculated for the city of Itabaiana/SE, and is divided in two sections. The first discusses the concept of economic development and the evolution of measurement frameworks, with emphasis on the IHD and some of its limitations. The second section describes an estimated IDGM for the city of Itabaiana, as well as its methodology, results, and a brief comparative analysis with four municipalities from the state of São Paulo. Itabaiana’s IDGM reached 849 points (the maximum is 1.000), which infers a good developmental condition.

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Introduction: To analyze the knowledge, feelings and perceptions involving patients affected by leprosy, as a better understanding of these factors may be useful to decrease the stigma and prejudice associated with the condition. Methods: The study cohort consisted of 94 patients who underwent treatment for leprosy at the Health Units in the City of Cuiaba, Mato Grosso (MT), Brazil. The study questionnaire included items to collect information on socio-demographic data, knowledge about the disease, stigma, prejudice, self-esteem and quality of life of leprosy patients. Bivariate analyses were used to assess the data based on the chi-square test with a 5% significance threshold. Results: The results revealed that the study population consisted predominantly of males (55.3%) with an income between 1 and 3 times the minimum wage (67%). The survey respondents reported that the most significant difficulties related to the treatment were the side effects (44.7%) and the duration of the treatment (28.7%). A total of 72.3% of the subjects were knowledgeable about the disease, of whom 26.6% had the leprosy reaction. Stigma and prejudice were cited by 93.6% of the participants. Based on the responses, 40.4% of patients reported being depressed and sad, and 69.1% of the subjects encountered problems at work after being diagnosed. A total of 45.7% of the patients rated their quality of life between bad and very bad. Conclusions: Our results suggest that leprosy causes suffering in patients beyond pain and discomfort and greatly influences social participation.

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This study focused on estimating the economic losses resulting from cysticercosis at beef cattle farms that supply an export slaughterhouse located in the state of Sao Paulo, Brazil, and to identify the epidemiological risks factors involved in the disease to ascertain if these farms adopt Good Agricultural Practices (GAP). To this, we used data recorded in 2012 by Brazil's Federal Inspection Service (SIP) on the daily occurrence of the disease, according to the farm from which the animals originated. In addition, the associated risk factors were determined based on a case-control study at 48 farms. Cysticercosis was detected in 2.26% (95% CI 2.2-2.33) of the 190,903 bovines supplied by 556 farms in the following four states: 2.92% (95% CI 2.83-3.03) in Sao Paulo, 1.81% (95% CI 1.71-1.93) in Minas Gerais, 0.71% (95% CI 0.6-0.82) in Goias and 1.11% (95% CI 0.79-1.57) in Mato Grosso do Sul, with significant differences in the epidemiological indices of these states. Cysticercosis was detected at 58.45% (95% CI 54.36-62.55) of the farms of this study, representing estimated economic losses of US$312,194.52 for the farmers. Lower prevalence of this disease were found at the farms qualified for exports to the European Union, indicating a statistically significant difference from those not qualified to export to Europe. The access of cattle to non-controlled water sources, as well as sport fishing activities near the farms, was identified as risk factors. Cysticercosis causes considerable losses in Brazil's beef supply chain, with lower prevalence appearing only at farms qualified to export to the European Union. As for the access of cattle to non-controlled water sources, this is an indication that GAP are not implemented by some farms, demonstrating the violation of international agreements by the industry and the farms. (C) 2015 Elsevier B.V. All rights reserved.

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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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Ceramic parts are increasingly replacing metal parts due to their excellent physical, chemical and mechanical properties, however they also make them difficult to manufacture by traditional machining methods. The developments carried out in this work are used to estimate tool wear during the grinding of advanced ceramics. The learning process was fed with data collected from a surface grinding machine with tangential diamond wheel and alumina ceramic test specimens, in three cutting configurations: with depths of cut of 120 mu m, 70 mu m and 20 mu m. The grinding wheel speed was 35m/s and the table speed 2.3m/s. Four neural models were evaluated, namely: Multilayer Perceptron, Radial Basis Function, Generalized Regression Neural Networks and the Adaptive Neuro-Fuzzy Inference System. The models'performance evaluation routines were executed automatically, testing all the possible combinations of inputs, number of neurons, number of layers, and spreading. The computational results reveal that the neural models were highly successful in estimating tool wear, since the errors were lower than 4%.

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The grinding operation gives workpieces their final finish, minimizing surface roughness through the interaction between the abrasive grains of a tool (grinding wheel) and the workpiece. However, excessive grinding wheel wear due to friction renders the tool unsuitable for further use, thus requiring the dressing operation to remove and/or sharpen the cutting edges of the worn grains to render them reusable. The purpose of this study was to monitor the dressing operation using the acoustic emission (AE) signal and statistics derived from this signal, classifying the grinding wheel as sharp or dull by means of artificial neural networks. An aluminum oxide wheel installed on a surface grinding machine, a signal acquisition system, and a single-point dresser were used in the experiments. Tests were performed varying overlap ratios and dressing depths. The root mean square values and two additional statistics were calculated based on the raw AE data. A multilayer perceptron neural network was used with the Levenberg-Marquardt learning algorithm, whose inputs were the aforementioned statistics. The results indicate that this method was successful in classifying the conditions of the grinding wheel in the dressing process, identifying the tool as "sharp''(with cutting capacity) or "dull''(with loss of cutting capacity), thus reducing the time and cost of the operation and minimizing excessive removal of abrasive material from the grinding wheel.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)