Poly(epsilon-caprolactone)nanocapsules as carrier systems for herbicides: Physico-chemical characterization and genotoxicity evaluation

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

Limites do ensino de dança na formação do professor de Educação Física

The dance is one of the cultural content of body movement. But it is known, by means of literature and researches, that the training of teachers of Physical Education has submitted this content limits, damaging their future education in schools. This article discusses these limits and their possible solutions, ruled itself for both in literature and analysis on data collected in search of the Masters PEREIRA (2007). In this analysis it was felt that the dance is little in this Fitness because of graduate students have little experience inside and outside the school environment, because many parents, teachers and students have to dance with prejudice, and because do not feel prepared to deal with this content in schools. It appears that this may be due to the hegemony of sports in physical education, and some misunderstandings when you think the goals and content of dance in physical education.

Aspects of IFP for citrus production in Brazil

Brazilian citriculture represents about 25% of the total world citrus production with an area of 851,518 ha and a total production of more than 17 million tons in 1996. Besides its importance to the brazilian economy, represented by more than 1 billion US $ by year from FCOJ exportation, the citriculture has problems related to low productivity, due to several cultural practices and management. The productivity would be improved by an IFP system. The main problems are related to soil, as poor conservation, use of poor drained soils and bad preparation for planting; diseases-canker, CVC, leprosis, Phytophtora gummosis and other fungus diseases; pests - mites, scales, nematodes and others; the use of disease free and improved scion and rootstocks propagative material is usual; cultural practices - as nutrition, irrigation, wind breaks, weed control, pruning, replant and others, as density planting could be improved. Some possible solutions will be discussed for improving the brazilian citrus productivity and quality by IFP, based on research made.

Planning of secondary distribution circuits through evolutionary algorithms

In this work, the planning of secondary distribution circuits is approached as a mixed integer nonlinear programming problem (MINLP). In order to solve this problem, a dedicated evolutionary algorithm (EA) is proposed. This algorithm uses a codification scheme, genetic operators, and control parameters, projected and managed to consider the specific characteristics of the secondary network planning. The codification scheme maps the possible solutions that satisfy the requirements in order to obtain an effective and low-cost projected system-the conductors' adequate dimensioning, load balancing among phases, and the transformer placed at the center of the secondary system loads. An effective algorithm for three-phase power flow is used as an auxiliary methodology of the EA for the calculation of the fitness function proposed for solutions of each topology. Results for two secondary distribution circuits are presented, whereas one presents radial topology and the other a weakly meshed topology. © 2005 IEEE.

Improving Parkinson's disease identification through evolutionary-based feature selection

Parkinson's disease (PD) automatic identification has been actively pursued over several works in the literature. In this paper, we deal with this problem by applying evolutionary-based techniques in order to find the subset of features that maximize the accuracy of the Optimum-Path Forest (OPF) classifier. The reason for the choice of this classifier relies on its fast training phase, given that each possible solution to be optimized is guided by the OPF accuracy. We also show results that improved other ones recently obtained in the context of PD automatic identification. © 2011 IEEE.

Dynamic voltage restorer development and testing

The growing use of sensitive loads in the electric power system, especially in industrial applications, increases voltage sags related production losses considerably, stimulating a demand for power electronics' based solutions to mitigate the effects of such problems. This paper shows the implementation and some industrial certification tests of a power equipment prototype designed to correct sags and swells, a dynamic voltage restorer, which is one of the many possible solutions for voltage sags and swells problems Experimental results of a 75kVA prototype are shown both in laboratory and full load conditions, in a certification institution (IEE-USP). © 2011 IEEE.

BBA: A binary bat algorithm for feature selection

Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be in-viable for a exhaustive search. In this paper we propose a new nature-inspired feature selection technique based on the bats behaviour, which has never been applied to this context so far. The wrapper approach combines the power of exploration of the bats together with the speed of the Optimum-Path Forest classifier to find the set of features that maximizes the accuracy in a validating set. Experiments conducted in five public datasets have demonstrated that the proposed approach can outperform some well-known swarm-based techniques. © 2012 IEEE.

Binary Bat Algorithm for Feature Selection

Feature selection aims to find the most important information to save computational efforts and data storage. We formulated this task as a combinatorial optimization problem since the exponential growth of possible solutions makes an exhaustive search infeasible. In this work, we propose a new nature-inspired feature selection technique based on bats behavior, namely, binary bat algorithm The wrapper approach combines the power of exploration of the bats together with the speed of the optimum-path forest classifier to find a better data representation. Experiments in public datasets have shown that the proposed technique can indeed improve the effectiveness of the optimum-path forest and outperform some well-known swarm-based techniques. © 2013 Copyright © 2013 Elsevier Inc. All rights reserved.

Optimizing feature selection through binary charged system search

Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a exhaustive search. In this paper we propose a new nature-inspired feature selection technique based on the Charged System Search (CSS), which has never been applied to this context so far. The wrapper approach combines the power of exploration of CSS together with the speed of the Optimum-Path Forest classifier to find the set of features that maximizes the accuracy in a validating set. Experiments conducted in four public datasets have demonstrated the validity of the proposed approach can outperform some well-known swarm-based techniques. © 2013 Springer-Verlag.

Reconstrução e geração de malhas em estruturas biomecânicas tridimensionais para análise por elemento finitos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Violência e indisciplina na escola, legislação e solução de conflitos: um estudo de caso centrado no professor mediador escolar e comunitário

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Algoritmo genético aplicado ao sequenciamento de picking e faturamento

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A Teoria das inteligências múltiplas no ensino e aprendizagem de língua inglesa na escola pública

Pós-graduação em Estudos Linguísticos - IBILCE

Um estudo sobre criptografia

Pós-graduação em Matemática Universitária - IGCE

Um estudo histórico perceptual: a bandeira brasileira sem o Brasil

Pós-graduação em Artes - IA