“Cuidar do Corpo para Melhor Cuidar da Casa” – influência do projecto comunitário de promoção de saúde nas domésticas

Introdução: O trabalho doméstico consiste numa actividade fisicamente muito difícil. Objectivo: Avaliar a implementação de um projecto comunitário na sintomatologia neuro-músculo-esquelética de domésticas. Métodos: O Questionário de Avaliação de Risco, a Escala de Borg e o Questionário Nórdico foi aplicado a 30 domésticas. Foram implementados uma acção de educação para a saúde e um programa de exercícios específicos. Resultados: Com o projecto, a sintomatologia, a percepção subjectiva de esforço e a intensidade média de dor (p<0,05) diminuíram. Os conhecimentos melhoraram (p<0,05) e modificaram os comportamentos de risco (p<0,05). Conclusão: A implementação do projecto foi eficaz na promoção de saúde das domésticas.

Multi-apprentice learning for meta-heuristics parameter tuning in a multi agent scheduling system

The scheduling problem is considered in complexity theory as a NP-hard combinatorial optimization problem. Meta-heuristics proved to be very useful in the resolution of this class of problems. However, these techniques require parameter tuning which is a very hard task to perform. A Case-based Reasoning module is proposed in order to solve the parameter tuning problem in a Multi-Agent Scheduling System. A computational study is performed in order to evaluate the proposed CBR module performance.

Self-managing agents for dynamic scheduling in manufacturing

The main purpose of this paper is to propose a Multi-Agent Autonomic and Bio-Inspired based framework with selfmanaging capabilities to solve complex scheduling problems using cooperative negotiation. Scheduling resolution requires the intervention of highly skilled human problem-solvers. This is a very hard and challenging domain because current systems are becoming more and more complex, distributed, interconnected and subject to rapidly changing. A natural Autonomic Computing (AC) evolution in relation to Current Computing is to provide systems with Self-Managing ability with a minimum human interference.

Safety high accuracy Context-Aware Matrix (CAM) making based on X.509 proxy certificate

Human Computer Interaction (HCl) is to interaction between computers and each person. And context-aware (CA) is very important one of HCI composition. In particular, if there are sequential or continuous tasks between users and devices, among users, and among devices etc, it is important to decide the next action using right CA. And to take perfect decision we have to get together all CA into a structure. We define that structure is Context-Aware Matrix (CAM) in this article. However to make exact decision is too hard for some problems like low accuracy, overhead and bad context by attacker etc. Many researcher has been studying to solve these problems. Moreover, still it has weak point HCI using in safety. In this Article, we propose CAM making include best selecting Server in each area. As a result, moving users could be taken the best way.

“To laugh in tragic joy” – a linguagem poética de W. B. Yeats em Lapis Lazuli

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