120 resultados para Analise de regressão


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Dengue é uma arbovirose que afeta cerca de 100 milhões de pessoas anualmente, em mais de 100 países situados nas regiões tropicais e subtropicais. Foi considerada a doença viral que mais cresceu no ultimo ano, repercutindo em impactos sociais e econômicos nas regiões endêmicas devido às altas taxas de morbidade e mortalidade desencadeadas pela infecção. O principal vetor da dengue é o mosquito Aedes aegypti, presente em toda a faixa tropical e subtropical. Por apresentar hematofagia antropofílica, rápido desenvolvimento e características comportamentais especificas, é um excelente transmissor do vírus dengue. Medidas de controle da disseminação da dengue são restritas à eliminação do mosquito vetor, e um tratamento específico ainda não foi desenvolvido, bem como a criação de uma vacina que previna simultaneamente a infecção pelos quatro sorotipos do arbovírus. Uma característica que determina a disseminação de doenças é a alta competência vetorial de seus mosquitos transmissores, que tem sido associada à composição da microbiota intestinal do inseto. As bactérias presente no intestino do mosquito exercem funções relacionadas a sua nutrição, desenvolvimento e reprodução, e são também um importante fator na eliminação de patógenos, por interferirem diretamente na atividade viral, ou indiretamente a partir da ativação das vias antivirais pelos micro-organismos. Dessa forma, este trabalho visa estudar a diversidade microbiana intestinal do mosquito Aedes aegypti em diferentes estágios de vida, através de sequenciamento de última geração com a plataforma MiSeq Illumina

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Baja SAE competitions challenge engineering students to design and build offroad vehicles, preparing them for the competitive job market. This monograph aims to study a part of the braking of a Baja SAE vehicle system, the brake disc. Giving attention to the wear suffered by discs of two different materials, steel 1045 and stainless steel 304, helping the team Piratas do Vale Bardahl in the best selection between them. Braking tests were performed on a test bench. Both discs have suffered the same braking conditions. Brake pads material, brake line pressure, braking time, number of braking, were parameters which were repeated in the testing of different types of disk, in order to ensure a high power comparison between the obtained data. Before and after the disk tests were weighed and measured, to make a comparison. After the brake tests, the disks were subjected to hardness and surface roughness testing. With the data collected and observations made in the worn parts, the comparison between these two materials was made, obtaining a selection of the best material for the team. The tests showed that steel 1045 has more advantages, compared to stainless steel 304, when applied to brake discs, on the tested conditions

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The aluminium alloys are used in many fields because of their versatility combined with the excellent aluminium’s properties, mentioned in the study. This study aims to compare the performance of polished Hard Metal, Hard Metal covered with TiB2 and High Speed Steel (HSS) tools, at the aluminium 2024 alloy’s turning, as a function of variation of some turning parameters such as: feed, depth of cut and cutting speed; and study the surface finish and the required power during turning by processing the output data, like analyze the chip’s features for each used tool. The results provide information of the tool’s material effects, when submitted to different turning conditions, about the output variable in question. In this way, it was possible to notice that although the Hard Metal covered with TiB2 tool has provided the better surface finish, the chip’s features were better when the turning was accomplished by the Polished Hard Metal tool. In relation to the required turning’s power, the lowest consumption occurred with the High Speed Steel tool

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Pós-graduação em Fisiopatologia em Clínica Médica - FMB

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The process of steel production emits a large quantity of greenhouse gases, specifically carbon dioxide (CO2), and the reduction of such emissions is one of the main challenges for the industry in the 21st. Century. To quantify these emissions, the Worldsteel Association (association of the 170 large steel manufacturers of the world) published a methodology (CO2 Emission Data Collection) for calculation and comparison of CO2 emissions among its members. After that, in 2010, this methodology became an ISO (International Organization for Standardization) norm. Today, the calculation of the CO2 emissions in steel making companies follow the ISO 14404-1 for units with blast furnaces and the ISO 14404-2 for units with electric furnaces. In the last years, new technologies were and continue to be developed for the steel making sector aiming at energetic improvements and greenhouse gas reductions (mainly CO2) by the several processes involved in the production of steel. This work had the objective of producing a tool to calculate the CO2 emissions for the steel making sector. An Excel spreadsheet was developed to calculate the emission intensities of CO2 of a steel plant, the Usina Presidente Vargas, of the Companhia Siderúrgica Nacional (CSN). The spreadsheet furnishes results of CO2 emissions and energetic fluxes, and simulates the benefits that some of the new technologies can give to the company. The spreadsheet calculates the emissions in two ways: a) based on the carbon fluxes that enter the unit, and b) based on the emissions of each specific process within the unit (coking, sinterization, blast furnace, among others)

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

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Even with several technologies, politics, laws and to knowledge that looks to secure the worthiest conditions of aging, the asylum of olds still marks presence in the contemporaneousness, like a sign of the aging badly succeeded. The present work is the result of practices carried out in institutions of long permanence and, among the effects of the institutionalization of the old age, the most attention was given here to the mechanism of the regression, analyzed through the light of the psychoanalysis.

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A total of 3.035 lactations of Holstein cows from four farms in the Southeast, to check the influence of data structure of milk yield on the genetic parameters. Four dataset with different structures were tested, weekly controls (CW) with 122.842 controls, monthly controls (CM) 30.883, bimonthly controls (CB) with 15,837 and quarterly controls (CQ) with 12,702. The random regression model was used and was considered as random additive genetic and permanent environment effects, fixed effects of the contemporary groups (herd-year-month of test-day) and age of cow (linear and quadratic effects). Heritability estimates showed similar trends among the data files analyzed, with the greatest similarity between dataset CS, CM and CB. The dataset submitted all the CB estimates of genetic parameters analyzed with the same trend and similar magnitude to the CS and CM dataset, allowing the claim that there was no influence of the data structure on estimates of covariance components for the dataset CS, CM and CB. Thus, milk recording could be accomplished in a CB structure.

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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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In 2001, it was estimated that pesticide used worldwide exceeded 2.27 billion kilograms, over 35%, of which, were herbicides. Brazil is considered one of the leaders in the production of sugarcane and mainly ethanol as fuel. The monoculture of sugarcane requires the usage of a range of pesticides, among these, the herbicides diuron and tebuthiuron. The degradation products most studied (DCA and DCPU) are diuron's, especially for toxicological characteristics of this herbicide that is identified as carcinogen and suspected to be endocrine disruptor in mammals. After optimization of the chromatographic separation using HPLC-UV, the analytical curve was constructed in solvent and subsequently in the matrix (surface water). The extraction method contains the usage of SPE (solid phase extraction) (Strata-X, 200 mg/6 mL), applicating 1L of sample and elution with 5 mL of acetonitrile / methanol (50:50, v/v). Analysis by HPLC/UV was performed in gradient mode, acetonitrile/water (70/30-74/26 by 1 min, 74/26 - 78/22 till 3.2 min, returning to initial conditions and remaining this way until 10 min), 018 column (Phenomenex, 4.6 mm diameter, 250 mm long and 5pm particle size) and detection at 254 nm. Tests F and t were performed to verify the presence of the matrix effect. There was matrix effect to all analytes, ranging from -33% (DCA) and 38% (tebuthiuron). Thereby the method was optimized and validated for analysis of diuron, tebuthiuron, and DCPU DCA in surface water using HPLC/UV. The data obtained show that in order to assure the analytical reliability desired the use of the analytical curves in the matrix for the quantification of these analytes in water is required.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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This study aimed to model a equation for the demand of automobiles and light commercial vehicles, based on the data from February 2007 to July 2014, through a multiple regression analysis. The literature review consists of an information collection of the history of automotive industry, and it has contributed to the understanding of the current crisis that affects this market, which consequence was a large reduction in sales. The model developed was evaluated by a residual analysis and also was used an adhesion test - F test - with a significance level of 5%. In addition, a coefficient of determination (R2) of 0.8159 was determined, indicating that 81.59% of the demand for automobiles and light commercial vehicles can be explained by the regression variables: interest rate, unemployment rate, broad consumer price index (CPI), gross domestic product (GDP) and tax on industrialized products (IPI). Finally, other ten samples, from August 2014 to May 2015, were tested in the model in order to validate its forecasting quality. Finally, a Monte Carlo Simulation was run in order to obtain a distribution of probabilities of future demands. It was observed that the actual demand in the period after the sample was in the range that was most likely to occur, and that the GDP and the CPI are the variable that have the greatest influence on the developed model