9 resultados para CHC
em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"
Resumo:
Pós-graduação em Bases Gerais da Cirurgia - FMB
Resumo:
Avaliou-se a ocorrência da murcha-de-curtobacterium em lavouras de feijoeiro comum em algumas localidades do Estado de Santa Catarina, nas safras 2002/03 e 2003/04, e o comportamento dos genótipos BRS Valente, Carioca, CHC 97-29, CHP 97-26, CNPF 8104, Diamante Negro, Empasc 201 - Chapecó, IAPAR 44, IPR Graúna, IPR Juriti, IPR Uirapuru, LP 9728, Pérola, SCS 202-Guará, Sel. CP 9310635, TPS Bionobre, TPS Bonito, TPS MagnÃfico, TPS Nobre, TPS Soberano e Xamego perante Curtobacterium flaccumfaciens pv. flaccumfaciens (Cff), em condições de casa-de-vegetação. As cultivares IAC Carioca Akytã, IAC Carioca Aruã e IAC Carioca Pyatã foram empregadas como padrões de resistência a Cff. As avaliações dos sintomas ocorreram aos 5, 10, 15, 20 e 25 dias após a inoculação (DAI) e, posteriormente, foi estimada a área abaixo da curva de progresso da murcha-de-curtobacterium (AACPMC), em cada genótipo. A doença esteve presente nos municÃpios de Campos Novos, Faxinal dos Guedes, Guatambu, Ipuaçu, Ponte Serrada e Tigrinhos e que, aos 10 DAI, as cultivares SCS 202 - Guará e IPR Juriti mostraram baixa severidade. Porém, aos 25 DAI, somente as cultivares padrões foram resistentes e apresentaram menor AACPMC.
Resumo:
On-line learning methods have been applied successfully in multi-agent systems to achieve coordination among agents. Learning in multi-agent systems implies in a non-stationary scenario perceived by the agents, since the behavior of other agents may change as they simultaneously learn how to improve their actions. Non-stationary scenarios can be modeled as Markov Games, which can be solved using the Minimax-Q algorithm a combination of Q-learning (a Reinforcement Learning (RL) algorithm which directly learns an optimal control policy) and the Minimax algorithm. However, finding optimal control policies using any RL algorithm (Q-learning and Minimax-Q included) can be very time consuming. Trying to improve the learning time of Q-learning, we considered the QS-algorithm. in which a single experience can update more than a single action value by using a spreading function. In this paper, we contribute a Minimax-QS algorithm which combines the Minimax-Q algorithm and the QS-algorithm. We conduct a series of empirical evaluation of the algorithm in a simplified simulator of the soccer domain. We show that even using a very simple domain-dependent spreading function, the performance of the learning algorithm can be improved.
Resumo:
A neural network model for solving constrained nonlinear optimization problems with bounded variables is presented in this paper. More specifically, a modified Hopfield network is developed and its internal parameters are completed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points. The network is shown to be completely stable and globally convergent to the solutions of constrained nonlinear optimization problems. A fuzzy logic controller is incorporated in the network to minimize convergence time. Simulation results are presented to validate the proposed approach.
Resumo:
Objective-To determine the effect of experimental intraluminal distention on microvascular perfusion of the small colon in horses.Animals-6 mixed-breed healthy horses (mean age [+/- SD], 9.1 +/- 2 years).Procedure-Under general anesthesia, the small colon was exposed by celiotomy and 3 segments were demarcated. In 1 of these segments, intraluminal obstruction was created by placement of a latex balloon inflated to a pressure of 40 mm Hg (obstructed segment). The other segments were the sham-operated segment and the control segment. Microvascular perfusion was evaluated in the mucosal, submucosal, muscular, and serosal layers by injection of 15-mum-diameter colored microspheres into branches of the caudal mesenteric artery. Recovery of microspheres was performed by tissue digestion, washing, and centrifugation. Distribution of microspheres in the intestinal layers was evaluated by direct observation of stained frozen sections by light microscopy.Results-A significant reduction was observed in total microvascular perfusion of obstructed segments, which was 26.4% of that of control segments. This reduction was not evident in the mucosal layer.Conclusions and Clinical Relevance-Intraluminal distention of the equine small colon wall can promote ischemia by a reduction in microvascular perfusion in the intestinal wall. Intestinal layers do not seem to be affected to the same extent, because the absolute value for mucosal perfusion did not decrease in the obstructed segment.
Resumo:
This work presents the design of a fuzzy controller with simplified architecture. This architecture tries to minimize the time processing used in? the several stages of hazy modeling of systems and processes. The basic procedures of fuzzification and defuzzification are simplified to the maximum while the inference procedures are computed in private way. Therefore, the simplified architecture allows a fast and easy configuration of the fuzzy controller.All rules that define the control actions are determined by inference procedures and the defuzzification is made automatically using a simplified algorithm. The fuzzy controller operation is standardized and the control actions are previously calculated For general-purpose application? ann results, the industrial systems of fluid pow cona ol will be considered.
Resumo:
Pós-graduação em Bases Gerais da Cirurgia - FMB
Resumo:
Pós-graduação em Biologia Geral e Aplicada - IBB
Resumo:
Pós-graduação em Biociências e Biotecnologia Aplicadas à Farmácia - FCFAR