815 resultados para Gemstone Team ELECTRODE


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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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Newsletter produced by Iowa Civil Right Commission for the community about the community.

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In cooperative multiagent systems, agents interac to solve tasks. Global dynamics of multiagent teams result from local agent interactions, and are complex and difficult to predict. Evolutionary computation has proven a promising approach to the design of such teams. The majority of current studies use teams composed of agents with identical control rules ("geneti- cally homogeneous teams") and select behavior at the team level ("team-level selection"). Here we extend current approaches to include four combinations of genetic team composition and level of selection. We compare the performance of genetically homo- geneous teams evolved with individual-level selection, genetically homogeneous teams evolved with team-level selection, genetically heterogeneous teams evolved with individual-level selection, and genetically heterogeneous teams evolved with team-level selection. We use a simulated foraging task to show that the optimal combination depends on the amount of cooperation required by the task. Accordingly, we distinguish between three types of cooperative tasks and suggest guidelines for the optimal choice of genetic team composition and level of selection

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AbstractOBJECTIVEEvaluate pre- and intraoperative practices adopted by medical and nursing teams for the prevention of surgical infections.METHODA prospective study carried out in the period of April to May 2013, in a surgical center of a university hospital in Belo Horizonte, Minas Gerais.RESULTS18 surgeries were followed and 214 surgical gloves were analyzed, of which 23 (10.7%) had postoperative glove perforation detected, with 52.2% being perceived by users. Hair removal was performed on 27.7% of patients in the operating room, with the use of blades in 80% of the cases. Antibiotic prophylaxis was administered to 81.8% of patients up to 60 minutes prior to surgical incision. An average of nine professionals were present during surgery and the surgery room door remained open in 94.4% of the procedures.CONCLUSIONPartial adhesion to the recommended measures was identified, reaffirming a need for greater attention to these critical steps/actions in order to prevent surgical site infection.