1000 resultados para PERSONNEL MONITORING


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Dans le cadre de la planification de l'entraînement d'un athlète, l'affûtage précompétitif consiste à réduire les charges d'entraînement et éliminer le stress des séances précédentes afin d'optimiser les performances futures. Il existe des outils pour analyser les changements physiologiques qui se manifestent dans l'organisme des sportifs pendant cette période et qui sont responsables du gain de performance. L'analyse des indices corporels par bioimpédancemétrie pourrait constituer un outil simple et non invasif pour monitorer les performances et l'entraînement des sportifs d'élites. Méthodologie : Treize nageurs élites ont été analysés sur trois affûtages (T1, N=7 ; T2, N=6 et T3, N=8) qui précèdent trois objectifs nationaux majeurs. Un bioimpédancemètre multifréquence, le Z-Métrix, a été utilisé pour mesurer les indices avant et après l'affûtage. Sur le même principe, les performances des sujets ont été comparées entre la compétition qui suit l'affûtage et une compétition précédente sans affûtage. Pour compléter l'analyse, la charge d'entraînement pendant l'affûtage a été quantifiée puis comparée à la charge qui précède. L'évolution des indices corporels pourra donc être mise en relation avec les différences de performance et la variation de la charge d'entraînement.

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Our efforts are directed towards the understanding of the coscheduling mechanism in a NOW system when a parallel job is executed jointly with local workloads, balancing parallel performance against the local interactive response. Explicit and implicit coscheduling techniques in a PVM-Linux NOW (or cluster) have been implemented. Furthermore, dynamic coscheduling remains an open question when parallel jobs are executed in a non-dedicated Cluster. A basis model for dynamic coscheduling in Cluster systems is presented in this paper. Also, one dynamic coscheduling algorithm for this model is proposed. The applicability of this algorithm has been proved and its performance analyzed by simulation. Finally, a new tool (named Monito) for monitoring the different queues of messages in such an environments is presented. The main aim of implementing this facility is to provide a mean of capturing the bottlenecks and overheads of the communication system in a PVM-Linux cluster.

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A variety of technologies have been developed to assist decision-making during the management of patients with acute brain injury who require intensive care. A large body of research has been generated describing these various technologies. The Neurocritical Care Society (NCS) in collaboration with the European Society of Intensive Care Medicine (ESICM), the Society for Critical Care Medicine (SCCM), and the Latin America Brain Injury Consortium (LABIC) organized an international, multidisciplinary consensus conference to perform a systematic review of the published literature to help develop evidence-based practice recommendations on bedside physiologic monitoring. This supplement contains a Consensus Summary Statement with recommendations and individual topic reviews on physiologic processes important in the care of acute brain injury. In this article we provide the evidentiary tables for select topics including systemic hemodynamics, intracranial pressure, brain and systemic oxygenation, EEG, brain metabolism, biomarkers, processes of care and monitoring in emerging economies to provide the clinician ready access to evidence that supports recommendations about neuromonitoring.

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Careful patient monitoring using a variety of techniques including clinical and laboratory evaluation, bedside physiological monitoring with continuous or non-continuous techniques and imaging is fundamental to the care of patients who require neurocritical care. How best to perform and use bedside monitoring is still being elucidated. To create a basic platform for care and a foundation for further research the Neurocritical Care Society in collaboration with the European Society of Intensive Care Medicine, the Society for Critical Care Medicine and the Latin America Brain Injury Consortium organized an international, multidisciplinary consensus conference to develop recommendations about physiologic bedside monitoring. This supplement contains a Consensus Summary Statement with recommendations and individual topic reviews as a background to the recommendations. In this article, we highlight the recommendations and provide additional conclusions as an aid to the reader and to facilitate bedside care.

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The Spanish Government has established post-market environmental monitoring (PMEM) as mandatory for genetically modified (GM) crop varieties cultivated in Spain. In order to comply with this regulation, effects of Bt maize varieties derived from the event MON810 on the predatory fauna were monitored for two years in northeast and central Spain. The study was carried out with a randomized block design in maize fields of 3-4 ha on which the abundance of plant-dwelling predators and the activity-density of soil-dwelling predators in Bt vs. non-Bt near-isogenic varieties were compared. To this end, the plots were sampled by visual inspection of a certain number of plants and pitfall traps 6 or 7 times throughout two seasons. No significant differences in predator densities on plants were found between Bt and non-Bt varieties. In the pitfall traps, significant differences between the two types of maize were found only in Staphylinidae, in which trap catches in non-Bt maize were higher than in Bt maize in central Spain. Based on the statistical power of the assays, surrogate arthropods for PMEM purposes are proposed; Orius spp. and Araneae for visual sampling and Carabidae, Araneae, and Staphylinidae for pitfall trapping. The other predator groups recorded in the study, Nabis sp. and Coccinellidae in visual sampling and Dermaptera in pitfall trapping, gave very poor power results. To help to establish a standardized protocol for PMEM of genetically modified crops, the effect-detecting capacity with a power of 0.8 of each predator group is given.