985 resultados para Mazza, Angelo.


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The increase in new electronic devices had generated a considerable increase in obtaining spatial data information; hence these data are becoming more and more widely used. As well as for conventional data, spatial data need to be analyzed so interesting information can be retrieved from them. Therefore, data clustering techniques can be used to extract clusters of a set of spatial data. However, current approaches do not consider the implicit semantics that exist between a region and an object’s attributes. This paper presents an approach that enhances spatial data mining process, so they can use the semantic that exists within a region. A framework was developed, OntoSDM, which enables spatial data mining algorithms to communicate with ontologies in order to enhance the algorithm’s result. The experiments demonstrated a semantically improved result, generating more interesting clusters, therefore reducing manual analysis work of an expert.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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In this paper the dynamical interactions of a double pendulum arm and an electromechanical shaker is investigated. The double pendulum is a three degree of freedom system coupled to an RLC circuit based nonlinear shaker through a magnetic field, and the capacitor voltage is a nonlinear function of the instantaneous electric charge. Numerical simulations show the existence of chaotic behavior for some regions in the parameter space and this behaviour is characterized by power spectral density and Lyapunov exponents. The bifurcation diagram is constructed to explore the qualitative behaviour of the system. This kind of electromechanical system is frequently found in robotic systems, and in order to suppress the chaotic motion, the State-Dependent Riccati Equation (SDRE) control and the Nonlinear Saturation control (NSC) techniques are analyzed. The robustness of these two controllers is tested by a sensitivity analysis to parametric uncertainties.

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Micro-electromechanical systems (MEMS) are micro scale devices that are able to convert electrical energy into mechanical energy or vice versa. In this paper, the mathematical model of an electronic circuit of a resonant MEMS mass sensor, with time-periodic parametric excitation, was analyzed and controlled by Chebyshev polynomial expansion of the Picard interaction and Lyapunov-Floquet transformation, and by Optimal Linear Feedback Control (OLFC). Both controls consider the union of feedback and feedforward controls. The feedback control obtained by Picard interaction and Lyapunov-Floquet transformation is the first strategy and the optimal control theory the second strategy. Numerical simulations show the efficiency of the two control methods, as well as the sensitivity of each control strategy to parametric errors. Without parametric errors, both control strategies were effective in maintaining the system in the desired orbit. On the other hand, in the presence of parametric errors, the OLFC technique was more robust.

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O presente artigo descreve o caso de uma paciente vítima de abuso sexual na infância que desenvolveu um quadro de Transtorno de Estresse Pós-Traumático (TEPT). Questões relacionadas a abuso sexual, caracterís-ticas do TEPT e formas de tratamento são discutidas. A intervenção foi conduzida na perspectiva da Análise do Comportamento, tendo como foco as queixas da cliente relacionadas ao transtorno, bem como outras demandas, tais como relacionamento com a mãe e a irmã, dificuldades de estudo (faculdade) e aumento de peso. Procurou-se através da intervenção conscientizar a cliente sobre o transtorno e seu tratamento (Psicoeducação), promovendo autoconhecimento, habilidades sociais, refletindo sentimentos e em paralelo foi trabalhada a dificuldade de estudo e o aumento de peso. Como medidas avaliativas da intervenção (pré/pós-teste) foram utilizados instrumentos para rastreamento de TEPT e comorbidades. Conclui-se que a inter-venção foi efetiva para o desaparecimento dos sintomas característicos de TEPT, bem como para a promoção de repertórios relacionados à queixa da cliente.

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Several machining processes have been created and improved in order to achieve the best results ever accomplished in hard and difficult to machine materials. Some of these abrasive manufacturing processes emerging on the science frontier can be defined as ultra-precision grinding. For finishing flat surfaces, researchers have been putting together the main advantages of traditional abrasive processes such as face grinding with constant pressure, fixed abrasives for two-body removal mechanism, total contact of the part with the tool, and lapping kinematics as well as some specific operations to keep grinding wheel sharpness and form. In the present work, both U d-lap grinding process and its machine tool were studied aiming nanometric finishing on flat metallic surfaces. Such hypothesis was investigated on AISI 420 stainless steel workpieces U d-lap ground with different values of overlap factor on dressing (Ud=1, 3, and 5) and grit sizes of conventional grinding wheels (silicon carbide (SiC)=#800, #600, and #300) applying a new machine tool especially designed and built for such finishing. The best results, obtained after 10 min of machining, were average surface roughness (Ra) of 1.92 nm, 1.19-μm flatness deviation of 25.4-mm-diameter workpieces, and mirrored surface finishing. Given the surface quality achieved, the U d-lap grinding process can be included among the ultra-precision abrasive processes and, depending on the application, the chaining steps of grinding, lapping, and polishing can be replaced by the proposed abrasive process.

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Pós-graduação em Agronomia (Proteção de Plantas) - FCA

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Hepatic encephalopathy (HE) is a functional disorder of the central nervous system (CNS) associated with liver failure, either end-stage chronic liver disease or fulminant hepatic failure. Its pathogenesis remains complex and poorly understood. In view of recent advances in the management of HE, the Brazilian Society of Hepatology endorsed a monothematic meeting regarding HE in order to gather experts in the field to discuss related data and to draw evidence-based recommendations concerning: management of HE and intracranial hypertension in FHF, treatment of episodic HE in cirrhosis, controversies in the management of EH including difficult to treat cases and diagnostic and treatment challenges for minimal HE. The purpose of this review is to summarize the lectures and recommendations made by the panel of experts of the Brazilian Society of Hepatology.

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Brazil is the world's largest beef exporter with the world's largest commercial cattle herd; however, the production cycle needs to be more efficient to supply internal and external demands in the future. Feedlot operations are currently a reality for the Brazilian beef cattle industry; nonetheless the beef cattle industry in Brazil is still based on grass-fed animals in which the Nellore breed predominates. At some point this constitutes an important advantage for Brazilian beef exportations because some countries look for “natural beef.” Brazilian packing plants regulate the use of antibiotics, especially ionophores used as growth promoters, on farms certified to export beef to European countries. In addition, the use of any implant or beta-agonist for cattle is forbidden in Brazil. From 1970 to 2006, the Brazilian bovine herd increased at 2.04%/year, total pasture at 0.07%/year, area with cultivated pasture at 3.5%/year, and ratio of animals/hectare of total pasture at 1.97%/year, whereas the area with natural pasture decreased at 2.26%/year. These trends alleviate some of the pressure on Brazilian authorities with respect to deforestation of the Amazon forest. Although Brazil had the greatest growth rate of enteric methane emissions, it also had the greatest growth rate of beef production, resulting in Brazil having a negative growth rate (–1.82%/year) of methane emissions per unit of product (kilogram of methane/kilogram of beef).

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