Estudo das tensões em próteses sobre implantes esplintadas: análise pelo método da fotoelasticidade

Pós-graduação em Odontologia - FOA

Cleaning interactions between shrimps (Palaemonidae) and freshwater stingrays (Potamotrygonidae) in the Parana River, Southeastern Brazil

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

O papel dos projetos sociais na vida de adolescentes em contextos potenciais de rico e processos de resiliência

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

Hesitações na fala infantil: indícios da complexidade da língua

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Interface para classificação de dados por máquinas de vetores de suporte

In this project the Pattern Recognition Problem is approached with the Support Vector Machines (SVM) technique, a binary method of classification that provides the best solution separating the data in the better way with a hiperplan and an extension of the input space dimension, as a Machine Learning solution. The system aims to classify two classes of pixels chosen by the user in the interface in the interest selection phase and in the background selection phase, generating all the data to be used in the LibSVM library, a library that implements the SVM, illustrating the library operation in a casual way. The data provided by the interface is organized in three types, RGB (Red, Green and Blue color system), texture (calculated) or RGB + texture. At last the project showed successful results, where the classification of the image pixels was showed as been from one of the two classes, from the interest selection area or from the background selection area. The simplest user view of results classification is the RGB type of data arrange, because it’s the most concrete way of data acquisition

Estimação de densidades e aplicação em segmentação de imagens

The aim of this work is to study some of the density estimation tec- niques and to apply to the segmentation of medical images. Medical images are used to help the diagnostic of tumor diseases as well as to plan and deliver treatment. A computer image is an array of values representing colors in some scale. The smallest element of the image to which it is possible to assign a value is called pixel. Segmen- tation is the process of dividing the image in portions through the classi¯cation of each pixel. The simplest way of classi¯cation is by thresholding, given the number of portions and the threshold values. Another method is constructing a histogram of the pixel values and assign a portion to each pike. The threshold is the mean between two pikes. As the histogram does not form a smooth curve it is di±cult to discern between true pikes and random variation. Density estimation methods allow the estimation of a smooth curve. Image data can be considered as mixture of different densities. In this project parametric and nonparametric methods for density estimation will be addressed and some of them are applied to CT image data

Processos juntivos de causa : um estudo dos usos variáveis em textos escritos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Dinâmica linear e não linear da variabilidade da frequência cardíaca: sensibilidade, especificidade, valor preditivo e correlação de características físicas e clínicas no Diabetes Mellitus tipo 1

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

Estudo randonizado duplo-cego da capacidade funcional e da prática de atividade física em indivíduos com diagnóstico polissonográfico de SAOS antes e após uso de CPAP

Pós-graduação em Bases Gerais da Cirurgia - FMB

Análise da modulação autonômica em repouso e em resposta ao Tilt Test ativo em crianças com diabetes tipo 1

Pós-graduação em Fisioterapia - FCT

Efeito da infecção e da terapia de erradicação da Helicobacter pylori na expressão gênica de paciente com gastrite crônica

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Duração da qualidade de ovos estocados de poedeiras criadas no sistema “cage-free”

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Explaining standing order reforms in the Camera dei Deputati during the liberal age

How might the continuous changes in the standing orders of the Camera dei Deputati between 1861 and 1922 be explained? To answer this question, the text investigates the political events associated with standing order reforms. Two results are emphasized. On the one hand, and contrary to common views, the study shows that the reforms were not casual or episodic, but resulted from different sets of political pressure, internal or external to the parliamentary ambit. This fact, on the other hand, draws attention to the need to go deeper into the question of the institutional evolution of the liberal parliament, chiefly with regard to relations among institutional actors.

Prevalence and vulnerability of homeless people to HIV infection in Sao Paulo, Brazil

OBJECTIVE: To assess the prevalence and vulnerability of homeless people to HIV infection. METHODS: Cross-sectional study conducted with a non-probabilistic sample of 1,405 homeless users of shelters in the city of Sao Paulo, southeastern Brazil, from 2006 to 2007. They were all tested for HIV and a structured questionnaire was applied. Their vulnerability to HIV was determined by the frequency of condom use: those who reported using condoms only occasionally or never were considered the most vulnerable. Multinomial and logistic regression models were used to estimate effect measures and 95% confidence intervals. RESULTS: There was a predominance of males (85.6%), with a mean age of 40.9 years, 72.0% had complete elementary schooling, and 71.5% were non-white. Of all respondents, 15.7% reported being homosexual or bisexual and 62,0% reported having casual sex. The mean number of sexual partners in the last 12 months was 5.4. More than half (55.7%) of the respondents reported lifetime drug use, while 25.7% reported frequent use. Sexually-transmitted disease was reported by 39.6% of the homeless and 38.3% reported always using condoms. The prevalence of HIV infection was 4.9% (17.4% also tested positive for syphilis) and about half of the respondents (55.4%) had access to prevention programs. Higher HIV prevalence was associated with younger age (18-29 years, OR = 4.0 [95% CI 1.54; 10.46]); past history of sexually-transmitted disease (OR = 3.3 [95% CI 1.87; 5.73]); homosexual sex (OR = 3.0 [95% CI 1.28; 6.92]); and syphilis (OR = 2.4 [95% CI 1.13; 4.93]). Increased vulnerability to HIV infection was associated with being female; young; homosexual sex; having few partners or a steady partner; drug and alcohol use; not having access to prevention programs and social support. CONCLUSIONS: The HIV epidemic has a major impact on homeless people reflecting a cycle of exclusion, social vulnerability, and limited access to prevention.

Excessive iodine intake in schoolchildren

Inadequate iodine intake may result in iodine deficiency disorders (IDD). Thus, for more than 50 years, policies for the regulation of salt fortification with iodine have existed in Brazil. In 2003, a study on 6-14-year-old schoolchildren from regions of the state of So Paulo showed a median urinary iodine concentration of 360 mu g/L. The objective of the present study was to assess the iodine nutrition status among schoolchildren. The study was conducted on 828 schoolchildren aged 4-13 years from eight schools in the interior of the state of So Paulo. A casual urine sample was collected from each volunteer for iodine determination by the adapted method of Sandell-Kalthoff. Only 1.9% (n = 16) of the children evaluated had low values of urinary iodine (< 100 mu g/L), while 24.6% had urinary iodine excretion values between 200 and 300 mu g/L, and 67.1% had values above > 300 mu g/L. The results show that the iodine nutritional status of the schoolchildren studied is characterized by a high urinary iodine excretion, which might reveal an increase in iodine consumption by this population.