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Acute renal failure (ARF), characterized by sudden loss of the ability of the kidneys to excrete wastes, concentrate urine, conserve electrolytes, and maintain fluid balance, is a frequent clinical problem, particularly in the intensive care unit, where it is associated with a mortality of between 50% and 80%. In this review, the epidemiology and(More)
Caspase-1-deficient (-/-) mice are protected against sepsis-induced hypotension and mortality. We investigated the role of caspase-1 and its associated cytokines in a nonhypotensive model of endotoxemic acute renal failure (ARF). Mice were injected intraperitoneally with 2.5 mg of LPS that induces endotoxemic ARF. On immunoblot analysis of whole kidney,(More)
BACKGROUND Sepsis has a high mortality (50-80%) when associated with acute renal failure (ARF). Oxidant injury and proinflammatory cytokines and chemokines have been shown to increase with endotoxaemia-related ARF. Since erythropoietin (EPO) has been demonstrated to possess anti-oxidant and anti-inflammatory properties, EPO may have therapeutic efficacy for(More)
Keywords: Genetic algorithms L1-norm estimator Least median estimator Least square estimator Least trimmed estimator Multiple sinusoidal model Outlier-insensitive criterion a b s t r a c t In this paper, we consider the fundamental problem of frequency estimation of multiple sinusoidal signals with stationary errors. We propose genetic algorithm and(More)
The problem of estimation of the parameters of complex sinusoids in complex white noise arises in many fields. Although many papers appeared in the last twenty years dealing with the estimation of the complex sinusoids, not much attention has been paid to obtain the confidence intervals of the unknown parameters, without which the estimation may not make(More)
Detecting the number of signals and estimating the parameters of the signals are important problems in statistical signal processing. Quite a number of papers appeared in the last 20 years in estimating the parameters of an exponential signal quite e$ciently but not that much of attention has been paid in estimating the number of signals of an exponential(More)