335 resultados para rede de cocitação


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A gestão colaborativa é, atualmente, um elemento-chave no contexto da gestão da cadeia de suprimentos. Neste artigo, o tema é abordado mediante a análise de um caso real, em que uma grande rede mundial de fast-food e seu prestador de serviço logístico (PSL) trabalharam conjuntamente no Brasil em um projeto-piloto para a implementação de um collaborative planning, forecasting, and replenishment (CPFR). O trabalho faz uso de uma metodologia de pesquisa-ação e apresenta as principais variáveis que influenciaram o projeto, abordando os processos necessários para a implementação e os pontos que favorecem o CPFR. Com base no caso estudado, o trabalho apresenta um conjunto de propostas sobre o papel dos agentes da cadeia em projetos dessa natureza. A gestão da cadeia de suprimentos por intermédio da coordenação direta de um PSL também permite demonstrar as possibilidades e dificuldades desse sistema, contribuindo com a visão colaborativa na cadeia de suprimentos a partir da relação entre seus agentes.

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

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Objetivou-se com este estudo avaliar os impactos ambientais causados por um sistema de cultivo de camarões marinhos em tanque-rede sobre a qualidade da água e sobre a estrutura da comunidade zooplanctônica. O estudo foi realizado na Baía de Guaratuba, onde os cultivos eram realizados em 300 tanques-rede (3,6 m de comprimento, 3,6 m de largura e 2 m de profundidade) distribuídos em uma área de 4.200 m², em densidade de 720 camarões/m². As concentrações de amônia, nitrito e fosfato na água foram monitoradas e amostras de zooplâncton foram coletadas no local dos cultivos (ponto 1) e em outros três pontos localizados a aproximadamente 200 m para oeste, noroeste e sudeste dos tanques. O ponto 5, usado como controle, localizava-se a aproximadamente 1.000 m a sudoeste da área de produção. As concentrações de nitrogênio amoniacal, nitrito e fosfato não diferiram entre os pontos amostrados, assim como a estrutura da comunidade zooplanctônica, que foi semelhante entre os pontos amostrados. Não foram evidenciados impactos significativos do empreendimento sobre a qualidade da água ou sobre estrutura das comunidades zooplanctônicas no local do cultivo e em áreas adjacentes, durante o período em que a investigação foi conduzida.

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The merit of the Karhunen-Loève transform is well known. Since its basis is the eigenvector set of the covariance matrix, a statistical, not functional, representation of the variance in pattern ensembles is generated. By using the Karhunen-Loève transform coefficients as a natural feature representation of a character image, the eigenvector set can be regarded as an feature extractor for a classifier.

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Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing elements and the high degree of connectivity between these elements. Neural networks with feedback connections provide a computing model capable of solving a large class of optimization problems. This paper presents a novel approach for solving dynamic programming problems using artificial neural networks. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points which represent solutions (not necessarily optimal) for the dynamic programming problem. Simulated examples are presented and compared with other neural networks. The results demonstrate that proposed method gives a significant improvement.

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Study model: observacional, retrospective. Objective: to determine the frequence of the ametropic errors and other ocular problems in children with 2 to 8 year-old at Piracicaba - SP. Patients and Method: During the school year of 2000, 1001 children enrolled at the public schools of Piracicaba - SP, age ranged from 2 to 8 years old, were referred to complete ophthalmological exam. Visual acuity was previously determined using Snellen chart, applied by school teachers. Those children presenting visual acuity equal or less than 0.8, visual complaints or visual disorders were selected to appointment. Results: 51 children (5.09%) did not attended to examination. 950 children were submitted to complete ophthalmological exam. Ametropic errors were found 70.84% of the children. The most prevalent refractive errors were Hypermetropic Astigmatism (49.62%) and Hypermetropia (32,98%). Anisometropia was found in 1.78% children. Other ocular disabilities accounted for 10.21% of the examined children, such as strabismus (3.36%), eyelid changes, allergic conjunctivitis, congenital dacryostenosis, optic atrophy, corioretinitis and congenital glaucoma. Conclusion: The frequence of ocular problems observed let us to conclude the screening programs are valid surveys on decreasing rates of preventable blindness in our country.

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There are several papers on pruning methods in the artificial neural networks area. However, with rare exceptions, none of them presents an appropriate statistical evaluation of such methods. In this article, we proved statistically the ability of some methods to reduce the number of neurons of the hidden layer of a multilayer perceptron neural network (MLP), and to maintain the same landing of classification error of the initial net. They are evaluated seven pruning methods. The experimental investigation was accomplished on five groups of generated data and in two groups of real data. Three variables were accompanied in the study: apparent classification error rate in the test group (REA); number of hidden neurons, obtained after the application of the pruning method; and number of training/retraining epochs, to evaluate the computational effort. The non-parametric Friedman's test was used to do the statistical analysis.

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The great diversity of materials that characterizes the urban environment determines a structure of mixed classes in a classification of multiespectral images. In that sense, it is important to define an appropriate classification system using a non parametric classifier, that allows incorporating non spectral (such as texture) data to the process. They also allow analyzing the uncertainty associated to each class from the output alues of the network calculated in relation to each class. Considering these properties, an experiment was carried out. This experiment consisted in the application of an Artificial Neural Network aiming at the classification of the urban land cover of Presidente Prudente and the analysis of the uncertainty in the representation of the mapped thematic classes. The results showed that it is possible to discriminate the variations in the urban land cover through the application of an Artificial Neural Network. It was also possible to visualize the spatial variation of the uncertainty in the attribution of classes of urban land cover from the generated representations. The class characterized by a defined pattern as intermediary related to the impermeability of the urban soil presented larger ambiguity degree and, therefore, larger mixture.

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The Brazilian Geodetic Network started to be established in the early 40's, employing classical surveying methods, such as triangulation and trilateration. With the introduction of satellite positioning systems, such as TRANSIT and GPS, that network was densified. That data was adjusted by employing a variety of methods, yielding distortions in the network that need to be understood. In this work, we analyze and interpret study cases in an attempt to understand the distortions in the Brazilian network. For each case, we performed the network adjustment employing the GHOST software suite. The results show that the distortion is least sensitive to the removal of invar baselines in the classical network. The network would be more affected by the inexistence of Laplace stations and Doppler control points, with differences up to 4.5 m.

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The purpose of this study was to identify the drugs most often prescribed for hypertension at the Municipal Health Care Center of the town of Rincäo, State of São Paulo, Brazil, and the principal interactions arising from their association with other drugs, both anti-hypertensives and those in other classes. The study included 725 hypertensive patients registered at this health care center who were regularly seen by a physician every three months. Data were collected on age, sex, occurrence of diabetes, smoking, sedentary lifestyle and overweight, to obtain a profile of the hypertensive population of the area. Control records of all patients were available at the pharmacy in the health care center, where patients obtained their drugs once a month. Of the 725 patients, 38% were male and 62% female. Most (57%) were between 50 and 70 years of age, 21% used tobacco and 43% led a sedentary lifestyle. Single-drug therapy accounted for 33% of the prescriptions, multidrug therapy for 66%. In addition to anti-hypertensives, 50% of the patients took drugs of other therapeutic classes. Of those receiving multidrug therapy, 34% used three or more anti-hypertensives and 66% used only two of these drugs. Drug interactions were detected in as many as 47% of the prescriptions. Captopril was the drug that showed most interactions with others (54%), followed by hydrochlorothiazide (27%), furosemide (14%), propanolol (4%), and nifedipine (1%). The analysis revealed that drug consumption by the patients investigated is high, with a concomitantly high number of episodes of drug interaction.

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The aim of this study was to evaluate the zootechnical performance and chemical composition of jundia juveniles Rhandia voulezi fed with mash, pelletized and extruded diets and cultivated in cages. One hundred and fifty fish were distributed in fifteen cages (0.20 m3), arranged in cages (5m3), in the hydroelectric plant of Governador José Richa, in Iguaçu River (Paraná-Brazil). The fish were fed five times a day, with mash, pelletized and extruded diets, containing 30% of protein and 3250 Kcal/kg of digestible energy/kg. At the end of 60 days, significant differences (p<0.05) were observed on fish performance. The fish that were fed with pelletized diet, presented higher average of final weight (44.08g), final length (16.51cm) and weight gain (36.65g). The different processes did not influence fish survival. The averages of protein and mineral matter of carcass chemical composition did not differ statistically (p<0.05), while the values of humidity and lipideos presented differences among treatments. The highest average of lipideos (8.59%) was observed in peletized diet. The mash diet provided fish with lower lipideo (5.45%) and higher humidity (75.98%) rates. A pelleted diet is most suitable for juvenile catfish R. voulezi cultivation in cages.

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This study aimed to detect and evaluate potential conflicts in the land use along the Rio Pardo's tributaries and sub-tributaries from its source which is in Pardinho, SP to the water capture system by the Basic Sanitation Company located in Botucatu, SP. It was used 2005 colored aerial photos, taking as a tool for assessing the Geographical Information System - IDRISI Andes. The results showed that the riparian forests were substituted predominantly by pastures, which is called conflict. In other words, the 1590.82ha of environmental preservation areas (PPA's) that should be protected by riparian forests and meadows (41.51%) in 2005, were used as pastures, being in conflict with the legislation. The aerial pictures associated to SIG-Idrisi proved to be efficient tools in mapping the area and monitoring the environmental impacts.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)