62 resultados para Feedback imediato


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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)

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

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Immediate reutilization of the expanding action in a case of rapid maxillary expansion surgically assisted. The orthopedic rapid maxillary expansion (RME) and rapid maxillary expansion surgically assisted (RMESA) are conducted with the aim of giving an appropriate jaw, capable of providing a normal occlusion. In extreme cases, where there is a severe atresia, it is necessary to perform an expansion beyond that allowed by the expander, followed by another conventional device or a butterfly expander, when the atresia is in the anterior maxillary region. In this situation, there are two options: wait about 90 days to allow intermaxillary suture restructuring and perform a new RME / RMESA or proceed immediately to the expansion process. Considering the biological cost, financial and clinical time, the procedure of reusing the immediate expander action becomes the technique of choice in these cases, been the operational procedure performed simplified and in just four steps. This work will show a case report where, after accomplishing the RMESA was observed that even after changing the shape of the maxillary arch, the severity of atresia could not be corrected, especially in the anterior region, and more expansion was needed. Aiming to correct the atresia in the anterior maxilla, the technique used was to reuse the immediate expander action through the change of an intraoral screw expander for a conventional butterfly type screw expander.

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This article discusses the design of robust controller applied to Wheelchair Furniture via Linear Matrix Inequalities (LMI), to obtain Strictly Positive Real (SPR) systems. The contributions of this work were the choice of a mathematical model for wheelchair: mobile with uncertainty about the position of the center of gravity (CG), the decoupling of the kinematic and dynamical systems, linearization of the models, the headquarters building of parametric uncertainties, the proposal of the control loop and control law with a specified decay rate.

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Relevance feedback approaches have been established as an important tool for interactive search, enabling users to express their needs. However, in view of the growth of multimedia collections available, the user efforts required by these methods tend to increase as well, demanding approaches for reducing the need of user interactions. In this context, this paper proposes a semi-supervised learning algorithm for relevance feedback to be used in image retrieval tasks. The proposed semi-supervised algorithm aims at using both supervised and unsupervised approaches simultaneously. While a supervised step is performed using the information collected from the user feedback, an unsupervised step exploits the intrinsic dataset structure, which is represented in terms of ranked lists of images. Several experiments were conducted for different image retrieval tasks involving shape, color, and texture descriptors and different datasets. The proposed approach was also evaluated on multimodal retrieval tasks, considering visual and textual descriptors. Experimental results demonstrate the effectiveness of the proposed approach.

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The aim of this research was to verify the accuracy of the prediction trace. Records in 15 patients admitted for orthognathic surgical treatment were analysed. Predictive and postoperative positíons of maxilla were compared with linear measurements. Statistically significant difference between predicted and postoperative position were demonstrated, but the prediction trace revealed to be very useful to help in decision of direction of movements, easy to do at low cost