Mohammed Sarhan

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BACKGROUND L-Arginine (L-arg) and Prostaglandin E(1) (PGE(1)) have been used effectively as single agents to ameliorate renal ischemia-reperfusion injury. We hypothesized that combined treatment with L-arg and PGE(1 )would be more effective. MATERIALS AND METHODS The left renal artery of male Sprague-Dawley rats was clamped for 45 min and the right kidney(More)
BACKGROUND The objective of this study was to determine the incidence and cause of disease-specific death in patients with mucoepidermoid carcinoma (MEC) affecting the major salivary glands. METHODS A total of 94 patients with MEC treated at Memorial Sloan-Kettering Cancer Center between 1985 and 2009 were identified from a preexisting database of 451(More)
OBJECTIVE To investigate effects of combination of erythropoietin (EPO) and epidermal growth factor (EGF) on renal ischaemia and on reactive oxygen species in a rat model. MATERIALS AND METHODS In all, 90 male Sprague-Dawley rats were allocated into five groups of 18, designated: Sham; treated with right nephrectomy only; Control, subjected to left renal(More)
A simultaneous equation model of the behavior of a mosquito abatement district based on biological and economic data is presented. Results indicate high long term costs if heavy reliance on chemical pesticide control methods continues, due to a pesticide resistance buildup in the mosquito populations. Physical source reduction methods were shown to be more(More)
Channel modeling for mobile cellular communication systems is a rapidly changing area, and the models are becoming increasingly accurate and more comprehensive to allow radio channel simulators to be implemented either by software or hardware to simulate diversity systems with many users. However, the challenge is to develop models that exhaustively(More)
The drawback of the Back Propagation (BP) algorithm is slow training and easily convergence to the local minimum and suffers from saturation training. To overcome those problems, we created a new dynamic function for each training rate and momentum term. In this study, we presented the (BPDRM) algorithm, which training with dynamic training rate and(More)
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