82 resultados para Territorial Intelligence
Resumo:
We aimed to evaluate the risk factor of serum reactive dogs to antileptospire agglutinin and their spatial distribution in an urban area. We collected 1,000 blood samples from dogs at 20 immunization centers, homogeneously distributed in the urban area (32 km2) of Botucatu, Sao Paulo, Brazil. Diagnosis was made by microscopic serum agglutination using 24 serovars of Leptospira spp. Statistical analysis was performed by Goodman's test with 5% of significance. Spatial clusters were tested by spatial scan statistic using SaTScan. We found that 17.9% dogs reacted to Leptospira spp. (p<0.0001). Dogs with street access (22.14%) were more reactive (p<0.05) than those without (14.83%). The scan test indicated only one significant cluster influenced by age. Incorporating each one of the co-variables gender, breed, and street access to age, we found that street access was the most important. Street access and age were the most important risk factors in the large number of reactive animals in the cluster, with the castellonis serovar being the most reactive in urban dogs. The identification of a cluster with more reactive dogs than expected allows local preventive measures to be taken.
Resumo:
Leptospirosis was seroepidemiologically investigated in 775 dogs from Botucatu, state of Sao Paulo, in blood samples collected during the annual anti-rabies vaccination campaign. The samples were collected from 14 out of the 45 vaccination stations geographically distributed in five different municipal districts, with a territorial urban area of 31Km2. Samples were taken from 449 males and 326 females; 564 were of undetermined breed, and 211 were pedigree animals; ages ranged from 3 months to 20 years. Diagnosis included the microscopic serum agglutination tests using 12 Leptospira spp serovars. Serological results and epidemiological variables were compared using Goodman and chi-square tests, with χ=0.05. There were 119 (15.3%) positive samples for 11 serovars; the most important was canicola with 48 (40.3%), followed by pyrogenes 41 (34.5%). Statistical analysis showed significant difference for: breed, 17.7% positive in undetermined breeds and 9.0% in pedigrees; and sex, 18.4% positive in males and 11.0% in females. There was no statistically significant difference in relation to age with uniform distribution of positives.
Resumo:
This research is based on the physical characterization of the environment to support definition of the best land use for the county of Colorado D'Oeste, in State of Rondônia, Brazil. Remote sensing and geoprocessing techniques were applied to support the preparation of a Geoenvironmental Zoning, which was used to define strategies of territorial and environmental management in that county. Digital and analogical remote sensing products, acquired by satellites, and additional cartographic and thematic maps allowed a morphostructural analysis to define low and high structural associated study site tectonic. Subsequently, this information was used to support analysis of the physiographic compartmentation of the study area. Based on this study information, it is possible to define geoenvironmental subzones and local hidrological regime, soils, mineral components, texture, color, and sedimentary materials. By integrating previous described information, a synthesis cartographic map generated. Accordingly, this Cartographic Sheet spatially defined the best land use over the study area, indicates zones for conservation, agricultural, and regeneration (areas that should be recovered). Finally, the results of this research can contribute and support governmental and non-governmental organization and local communities could improve land use and soil management, avoiding natural resource destruction and future land scarcity in the county of Colorado D'Oeste.
Resumo:
Secondary phases such as Laves and carbides are formed during the final solidification stages of nickel based superalloy coatings deposited during the gas tungsten arc welding cold wire process. However, when aged at high temperatures, other phases can precipitate in the microstructure, like the γ″ and δ phases. This work presents a new application and evaluation of artificial intelligent techniques to classify (the background echo and backscattered) ultrasound signals in order to characterize the microstructure of a Ni-based alloy thermally aged at 650 and 950 °C for 10, 100 and 200 h. The background echo and backscattered ultrasound signals were acquired using transducers with frequencies of 4 and 5 MHz. Thus with the use of features extraction techniques, i.e.; detrended fluctuation analysis and the Hurst method, the accuracy and speed in the classification of the secondary phases from ultrasound signals could be studied. The classifiers under study were the recent optimum-path forest (OPF) and the more traditional support vector machines and Bayesian. The experimental results revealed that the OPF classifier was the fastest and most reliable. In addition, the OPF classifier revealed to be a valid and adequate tool for microstructure characterization through ultrasound signals classification due to its speed, sensitivity, accuracy and reliability. © 2013 Elsevier B.V. All rights reserved.
Resumo:
Pós-graduação em Ciências Cartográficas - FCT
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Pós-graduação em Geografia - FCT
Resumo:
Pós-graduação em Geografia - FCT
Resumo:
Pós-graduação em Geociências e Meio Ambiente - IGCE
Resumo:
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Resumo:
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Pós-graduação em Geografia - IGCE
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
Resumo:
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)