Classificação multicritério de peças de reposição

Pós-graduação em Engenharia Mecânica - FEG

Hemodiálise prolongada na lesão renal aguda associada a sepse: sobrevida dos pacientes de acordo com o momento da indicação e a dose de diálise recebida

Pós-graduação em Fisiopatologia em Clínica Médica - FMB

Geografia da mortalidade no trânsito no Brasil

In road safety studies that involve accidents comparisons in distinct geographical spaces or in different periods of time in the same geographical space, the index which lists the number of traffic fatalities with the distance traveled by road transport vehicles is considered more appropriate than the rates related to the population or the fleet. In this paper, the results of an original research are presented, in which the values of the rate of traffic deaths per billion kilometers traveled (IMBQ) by the motor vehicle fleet in Brazil and in each state of the country were estimated. The evaluation was performed based on the official number of fatalities provided by the Ministry of Health and on the amount of fuel sold informed by the National Agency of Petroleum, Natural Gas and Biofuels. In 2009, Brazil presented an index of 52.84 fatalities per billion kilometers, which reveals an extremely alarming situation considering that this value is from 7 to 12 times higher than the one for more developed countries. An important correlation between the death index in the states and the Gross Domestic Product (GDP) per capita was observed; in general, the less economically developed is the state, it means, lowest GDP, higher is the IMBQ.

Comportamento de sistemas de informações geográficas por meio de classificação supervisionada em diferentes bacias hidrográficas

Pós-graduação em Agronomia (Energia na Agricultura) - FCA

Critérios citológicos associados ao fenótipo luminal do carcinoma de mama

Pós-graduação em Patologia - FMB

A aplicação da abordagem do Tecnógeno na identificação e classificação dos terrenos e depósitos tecnogênicos no ambiente urbano de Guarapuava-PR

Pós-graduação em Geografia - FCT

Fatores de risco relacionados à pré-eclâmpsia

Introduction: Preeclampsia is a major cause of maternal and perinatal morbidity and mortality in Brazil and worldwide. It is a heterogeneous disorder, multifactorial, with no clear etiology and pathophysiology. The identification of risk factors for its development can assist in prevention and early diagnosis of the clinical onset of the disease Objective: To identify risk factors related to the development of preeclampsia aimed at identifying pregnant women at risk for early disease and to offer specialized treatment to them Methodology: A bibliographic survey of scientific articles indexed in the following databases: CAPES (Ovid external Link), Scientific Eletronic Library Online (SciELO), Latin American and Caribbean Health Sciences Literature (LILACS), and Medical Literature Analysis and Retrieval System Online (Medline) of the National Library of Medicine over the last tem years (2001-2011) was carried out with the addition of certain classic and priority references.

Classificação climática de Thornthwaite e sua aplicabilidade agroclimatológica nos diferentes regimes de precipitação em Pernambuco

Knowing the annual climatic conditions is of great importance for appropriate planning in agriculture. However, the systems of climatic classification are not widely used in agricultural studies because of the wide range of scales in which they are used. A series with data from 20 years of observations from 45 climatological stations in all over the state of Pernambuco was used. The probability density function of the incomplete gamma distribution was used to evaluate the occurrence of dry, regular and rainy years. The monthly climatic water balance was estimated using the Thornthwaite and Mather method (1955), and based on those findings, the climatic classifications were performed using the Thornthwaite (1948) and Thornthwaite and Mather (1955) for each site. The method of Kriging interpolation was used for the spatialization of the results. The study classifications were very sensitive to the local reliefs, to the amount of rainfall, and to the temperatures of the regions resulting in a wide number of climatic types. The climatic classification system of Thornthwaite and Mather (1955) allowed efficient classification of climates and a clearer summary of the information provided. In so doing, it demonstrated its capability to determine agro climatic zones.

Métodos de classificação de imagens na identificação de áreas cultivadas com citros

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Comparação de métodos de classificação de imagens na identificação de áreas cultivadas com citros

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Discriminação de classes de cobertura vegetal utilizando técnicas de classificação digital de imagens de sensoriamento remoto

The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.

Classificação de imagens em áreas cultivadas com citrus por técnicas de sensoriamento remoto e geoestatística

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Características clínicas, contribuintes e taxa de mortalidade no desenvolvimento da síndrome da infusão do propofol: meta-análise de série e relato de casos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Validação de conteúdo das intervenções de enfermagem “Ensino: Pré-operatório” e “Ensino: Procedimento/Tratamento” da Classificação das Intervenções de Enfermagem, para procedimento percutâneo em hemodinâmica

Pós-graduação em Enfermagem (mestrado profissional) - FMB

Análise do descritor de padrões mapeados localmente em multiescala para classificação de textura em imagens digitais

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)