2 resultados para Criterio

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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To find a valuable tool in achieving a good accuracy in predicting the outcome from sympathectomy, changes in limb skin temperatures (LST) before and after epidural lumbar anesthesia (ELA) and before and after lumbar sympathectomy were studied in 13 patients with thrombangiitis obliterans or arteriosclerosis obliterans. The results were compared with the clinical course and follow-up from 1 to 5 years. In seven patients there was a rise in LST after ELA and after sympathectomy, and this pattern of variation was associated with good clinical course. In three patients there was decrease in the LST after ELA and after sympathectomy and they did not do well. In two patients there was no change in temperature before or after the procedure; one of them had a good and the other a bad clinical course. The same measurements were performed in three other patients who had had a sympathectomy some years previously and the data showed that LST was lowered after ELA. It is concluded that the measurement of limb skin temperature before and after epidural lumbar anesthesia aids in determining which patients are more likely to benefit from sympathectomy.

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Network reconfiguration in distribution systems can be carried out by changing the status of sectionalizing switches and it is usually done for loss minimization and load balancing. In this paper it is presented an heuristic algorithm that accomplishes network reconfiguration for operation planning in order to obtain a configuration set whose configurations have the smallest active losses on its feeders. To obtain the configurations, it is used an approached radial load flow method and an heuristic proceeding based on maximum limit of voltage drop on feeders. Results are presented for three hypothetical systems largely known whose data are available in literature and a real system with 135 busses. In addition, it is used a fast and robust load flow which decreases the computational effort.