Probiotic Therapy Reduces Periodontal Tissue Destruction and Improves the Intestinal Morphology in Rats With Ligature-Induced Periodontitis

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Defining functional urban regions in Bahia, Brazil, using roadway coverage and population density variables

The concept of Functional Urban Regions (FURs), also called Metropolitan Regions (MRs), is not simple. It is clear, though, that they are not simply a combination of adjacent municipalities or areas. Different methods can be used for their definition. However, especially in developing countries, the application of some methods is not possible, due to the unavailability of detailed data. Alternative approaches have been developed based on spatial analysis methods and using variables extracted from available data. The objective of this study is to compare the results of two spatial analysis methods exploring two variables: population density and an indicator of transport infrastructure supply. The first method regards Exploratory Spatial Data Analyses tools, which define uniform regions based on specific variables. The second method used the same variables and the spatial analysis technique available in the computer program SKATER - Spatial 'K'luster Analysis by Tree Edge Removal. Assuming that those classifications of regions with similar characteristics can be used for identifying potential FURS, the results of all analyses were compared with one another and with the 'official' MR. A combined approach was also considered for comparison, but none of the results match the existing MR boundaries, what challenges the official definitions. (C) 2014 Elsevier Ltd. All rights reserved.

Análise espacial e quimiométrica da distribuição de espécies metálicas em solos alagáveis e não alagáveis da Bacia do Médio Rio Negro, Amazônia

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

Mapeamento de áreas susceptíveis a sinistros climáticos no município de Rio Claro-SP

This work discourse on Civil Defense’ strategic planning and severe events in the city of Rio Claro – SP. In order to realize spatial analysis about its damages, registered by Civil Defense Department, it is being propose a methodological procedure by the use of Geographical Information System – Arc Gis 9.3.1. and another with SPRING 5.1.8.. The mapping of target areas and their impacts, during a period, have a great importance to the identification of possible risk areas as well as their use for logistic support to corps which is somehow involved to severe events and their victims, and to create a robust alert system

Ocorrência e distribuição espacial de mamíferos não-voadores em reflorestamento no sudeste do Brasil

The Conservation in countrysides landscapes only it will be understood in the context of the habitat fragmentation that have been affected the species richness, abundance and distribution. We carried out a mammal survey in platation forest at São Paulo State and 8 we discussed the species richness comparing with others sites surveyed elsewhere. We investigate the landscape influence in the mammal species distribution through spatial analysis. The absence of primate species in plantation forests appear to be a pattern for this environments. The species richness was similar among areas and it was higher when there have contiguous native forest remnants. Moreover the landscape interference don’t appeared affect the mammal species distribution. In overview the landscape connectivity is ameliorate with forest plantation. However, those species more susceptible to extinction in fragmented landscape only can persist when there are contiguous forest fragments from the plantation forests. The management of plantation forests can improves the conservation value for medium and large size mammals species at countryside landscapes.

Desenvolvimento de uma plataforma analítica para aquisição de imagens moleculares em tecidos animais

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Poluição atmosférica e paisagem urbana no município de São Paulo

This paper proposes an analysis of two major polluting elements of the atmosphere of São Paulo city, carbon monoxide (CO) and sulfur dioxide (SO2). This study was performed through analysis of data on the quality of air, by means of published reports and records obtained by experiment using measuring rate monitor for CO2. Atmospheric data were collected and sorted. From this work it was possible to identify the concentration of carbon dioxide in the center of São Paulo on September 14, 2012 using the infrared gas analyzer (IRGA). From the ratios of carbon monoxide and sulfur dioxide spatially analyzed could identify major emitters by comparing records of pollutants and their origin. The analysis makes it possible to map the intensity of air pollution in urban areas, identifying the polluting elements, their issuers and thereby contributes to the current understanding of atmospheric features, bringing a geographical spatial analysis of air pollutants in São Paulo, contributing to awareness of vulnerabilities, enabling a useful tool for planning and maintenance of the urban environment related public policies

Estratégias de seleção de genótipos de soja por meio de modelos mistos e abordagens multivariadas

Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV

Indicadores antropométricos do estado nutricional de pré-escolares em Araraquara, SP

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

Análise de agrupamentos para a classificação de pacientes submetidos à cirurgia bariátrica Fobi-Capella

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

Space-time description of dengue epidemic in Cruzeiro, SP, in 2006 and 2011

Objective: to identify patterns in the spatial and temporal distribution of cases of dengue fever occurring in the city of Cruzeiro, state of Sao Paulo (SP).Methods: an ecological and exploratory study was undertaken using spatial analysis tools and data from dengue cases obtained on the SinanNet. The analysis was carried out by area, using the IBGE census sector as a unit. The months of March to June 2006 and 2011 were assessed, revealing progress of the disease. TerraView 3.3.1 was used to calculate the Global Moran's I, month to month, and the Kernel estimator.Results: in the year 2006, 691 cases of dengue fever (rate of 864.2 cases/100,000 inhabitants) were georeferenced; and the Moran's I and p-values were significant in the months of April and May (TM = 0.28; p = 0.01; I-M = 0.20; p = 0.01) with higher densities in the central, north, northeast and south regions. In the year 2011, 654 cases of dengue fever (rate of 886.8 cases/100,000 inhabitants) were georeferenced; and the Moran's I and p-values were significant in the months of April and May (I, = 0.28; p = 0.01; I-M = 0.16; p = 0.05) with densities in the same regions as 2006. The Global Moran's I is a global measure of spatial autocorrelation, which indicates the degree of spatial association in the set of information from the product in relation to the average. The I varies between -1 and +1 and can be attributed to a level of significance (p-value). The positive value points to a positive or direct spatial autocorrelation.Conclusion: we were able to identify patterns in the spatial and temporal distribution of dengue cases occurring in the city of Cruzeiro, SP, and locate the census sectors where the outbreak began and how it evolved.

Comparação de metodologias na definição de fluxos acumulados a partir de modelos digitais de elevação do terreno aplicado a suscetibilidade de inundações

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Estimação espaço-temporal das perdas não técnicas no sistema de distribuição de energia elétrica

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Caracterização clínica epidemiológica e geográfica da hanseníase em município hiperendêmico do Brasil

Pós-graduação em Saúde Coletiva - FMB

Spatio-Temporal Event Model for Cyber-Physical Systems

The emerging Cyber-Physical Systems (CPSs) are envisioned to integrate computation, communication and control with the physical world. Therefore, CPS requires close interactions between the cyber and physical worlds both in time and space. These interactions are usually governed by events, which occur in the physical world and should autonomously be reflected in the cyber-world, and actions, which are taken by the CPS as a result of detection of events and certain decision mechanisms. Both event detection and action decision operations should be performed accurately and timely to guarantee temporal and spatial correctness. This calls for a flexible architecture and task representation framework to analyze CP operations. In this paper, we explore the temporal and spatial properties of events, define a novel CPS architecture, and develop a layered spatiotemporal event model for CPS. The event is represented as a function of attribute-based, temporal, and spatial event conditions. Moreover, logical operators are used to combine different types of event conditions to capture composite events. To the best of our knowledge, this is the first event model that captures the heterogeneous characteristics of CPS for formal temporal and spatial analysis.