316 resultados para Abordagem geométrica
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AIDS has the HIV as its etiological agent. Researches has been done to find new pharmacological agents to be used in therapy, because of problems of resistance and side effects. The HIV-integrase inhibitors are some of those new agents that are being studied. This updating focusses on the fundamental information about HIV and HIV-integrase and the main methods being used to develop these new drugs, with examples for each case.
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The objective of this study is the geometric characterization of a fluvial system, exemplified by the Itaquaquecetuba Formation. The studied area is a quarry located in Itaquaquecetuba, distant 35 km from the city of São Paulo, which is inserted in the context of São Paulo Basin. Fluvial systems are important hydrocarbon reservoirs, and this study may contribute with an analogue for ancient reservoirs. It was elaborated ten facies logs along a distance of 200 m (log spacing of 20 m), with a vertical column (thickness) of 40 m for each log. Eight facies cycles, and its lateral chrono-correlation allowed to map the potential reservoir and non-reservoir facies within each cycle. Regarding the depositional model for the studied section, it is assumed an alluvial fan system composed of meandering and ribbon-type fluvial channels.
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In this paper is presented a region-based methodology for Digital Elevation Model segmentation obtained from laser scanning data. The methodology is based on two sequential techniques, i.e., a recursive splitting technique using the quad tree structure followed by a region merging technique using the Markov Random Field model. The recursive splitting technique starts splitting the Digital Elevation Model into homogeneous regions. However, due to slight height differences in the Digital Elevation Model, region fragmentation can be relatively high. In order to minimize the fragmentation, a region merging technique based on the Markov Random Field model is applied to the previously segmented data. The resulting regions are firstly structured by using the so-called Region Adjacency Graph. Each node of the Region Adjacency Graph represents a region of the Digital Elevation Model segmented and two nodes have connectivity between them if corresponding regions share a common boundary. Next it is assumed that the random variable related to each node, follows the Markov Random Field model. This hypothesis allows the derivation of the posteriori probability distribution function whose solution is obtained by the Maximum a Posteriori estimation. Regions presenting high probability of similarity are merged. Experiments carried out with laser scanning data showed that the methodology allows to separate the objects in the Digital Elevation Model with a low amount of fragmentation.
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Acute myelopathy are characterized by spinal cord dysfunction, developing sensitive, motor and autonomic signs and symptons. Since they are relatively rare, there are some difficulties to early diagnosis and to the beginning of the treatment. So, literature was reviewed to describe the main aetiologies of acute non compressive myelopathy: 1) demyelinating diseases; 2) systemic disease; 3) parainfectious; 4) delayed radiation myelopathy; 5) vascular myelopathy; 6) idiopatic and 7) vitamin B12 deficiency. Besides, we suggest an algorithm to initial approach of these patients and further aethiologic investigation. © Copyright Morelra Jr. Editora.
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The structure of Brazil's National Health System (SUS) is being firmed up through programs adding a new element to its multi-professional healthcare teams: Community Healthcare Agents. This study examines psycho-social factors that are significant for the construction of this identity, from the standpoint of these Community Healthcare Agents, using the hermeneutic phenomenology of Paul Ricoeur as its reference methodology. The subjects of this survey were seven Community Healthcare Agents who were asked during interviews (with informed consent and after approval by the Research Ethics Committee) to: 'Tell me about your experience as Community Healthcare Agent'. The analysis of their replies indicated the following topics: previous experience; capacity-building for the job; bonding; building up expertise; gratifying experience; feelings of power(lessness); communications; daily work routines, personal growth; criticisms of the institution; user-agent experiences; and insertion into the social reality. The overall analysis disclosed the phenomenon through the convergence and divergence of the grouping of these topics, viewed from the standpoint of these Community Healthcare Agents and the psycho-social aspects constructing their identity.
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This work aims to express the production and consumption changes occurred in the State of São Paulo in line with the logistics, the systems of movement and the economic flows. The mentioned productive and consumption devolutions towards the interior just was possible in the fast rhythm, with the hierarchical combination of some basic elements, such as: 1) the logistics as strategy, planning and management (including in the concession of public services to the private enterprise) of transports, storage and communications; 2) the technological improvement of systems of movement (infrastructure and means of transportation) and 3) the economic flows (goods, services, informations, capital gains and people) in the territory. Thus, we go to an analysis of the impacts of the fifth logistics revolution and the alternatives between systems of movement and territorial fluidity in the service of corporative demands in the space pertaining to the State of São Paulo. © Copyright Scripta Nova, 2009.
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The fiscal policies of national governments are an important instrument of economic policy, as they contribute directly or indirectly to growth and economic development. Since Keynes, the utilization of active fiscal policy is unavoidable during periods of crisis, especially a policy of public investment spending aimed at reducing macroeconomic uncertainty. In the same way, Abba Lerner and functional finances indicate the use of fiscal policy in favor of macroeconomic stability, and not according to a single objective of seeking equilibrium in the public accounts. However, at the present time, the debate on fiscal policy is not sufficient to guarantee public sector financial equilibrium. The article picks up on the contributions of Keynes and Abba Lerner regarding the importance of the public budget in economic activity, and discusses the present scenario for fiscal policy.
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This paper presents a method applied to the seacoast town of Peruibe, São Paulo State, Brazil. The method encompasses the application of remote sensing interpretation techniques and field survey to obtain geotechnical data and thus generate cartographic products composed of easily grouped units that work as database objects and can de used to assist geotechnical zoning. The so-called Compartmentalization Basic Units (CBUs) show the smallest land surface analyzed from its physiographic elements and have in their cores the same geotechnical properties, making it easier to analyze the potentialities and the fragilities of the physical environment and its susceptibility to the action of natural and anthropic processes. In the study area, sixty-eight units were individualized in which geotechnical properties were inferred by photo interpretation criteria, using textural properties of the image adjusted with field observations. The method proved to be easily reproducible, and is especially useful in regions where the absence of basic maps makes it impossible to establish homogeneous zones through traditional overlay of different topic informations.
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The growth of large cities is usually accelerated and disorganized, which causes social, economical and infrastructural conflicts and frequently, occupation in illegal areas. For a better administration of these areas, the public manager needs information about their location. This information can be obtained through land utilization and land cover maps, where orbital images of remote sensing are used as one of the most traditional sources of data. In this context, the present work tested the applicability of the object-based classification to categorize two slum areas, taking into account the structure of the streets, size of the huts, distance between the houses, among other parameters. These area combinations of physical aspects were analyzed using the image IKONOS II and the software eCognition. Slum areas tend to be, to the contrary of the planned areas, disarranged, with narrow streets, small houses built with a variety of materials and without definition of blocks. The results of land cover classification for slum areas are encouraging because they are accurate and little ambiguous in the classification process. Thus, it would allow its utilization by urban managers.
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Meteorological satellite and radar data comparative analysis allows to correlate the precipitation structures observed in both images. Such analysis would make feasible the extension of the range of ground-based meteorological radars. In addition to the different spatial and temporal resolution of these images this comparative analysis presents difficulties due to the effects of rotation and distortion, besides the different formats, projections, and coordinate systems. This work employed an approach based on a Gaussian adaptive filter in order to compare such images. The statistical results obtained from the comparison of the images are matched to those produced by other methods.
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Current research compares the Bayesian estimates obtained for the parameters of processes of ARCH family with normal and Student's t distributions for the conditional distribution of the return series. A non-informative prior distribution was adopted and a reparameterization of models under analysis was taken into account to map parameters' space into real space. The procedure adopts a normal prior distribution for the transformed parameters. The posterior summaries were obtained by Monte Carlo Markov Chain (MCMC) simulation methods. The methodology was evaluated by a series of Bovespa Index returns and the predictive ordinate criterion was employed to select the best adjustment model to the data. Results show that, as a rule, the proposed Bayesian approach provides satisfactory estimates and that the GARCH process with Student's t distribution adjusted better to the data.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)