An advanced series resistance model is developed to accurately predict source/drain (S/D) series resistance of complementary metal-oxide semiconductor (CMOS) in the nanometer regime. The series resistance is modeled by dividing into four resistance components named SDE-to-gate overlap, S/D extension, deep S/D, and silicide-diffusion contact resistance considering the nonnegligible doping-depend...

Many classes of antibacterial drugs are currently available for physicians to use, however the plan of antibiotic development has slowed during the last decade. The World Health Organization (WHO) has identified antimicrobial resistance as one of the 3 most important problems for human health. Antimicrobial resistance is a growing problem worldwide, especially in hospitals, where resistant orga...

Many classes of antibacterial drugs are currently available for physicians to use, however the plan of antibiotic development has slowed during the last decade. The World Health Organization (WHO) has identified antimicrobial resistance as one of the 3 most important problems for human health. Antimicrobial resistance is a growing problem worldwide, especially in hospitals, where resistant orga...

kahman is the most beneficial river in alashtar city for agriculture and aquiculture. as hydrology processes have random nature, statistics and probability are base of analysis of these processes and time series are used for this purpose. the first step in time series analysis includes parameters variation through time. second step is to stationary data, third is normalization and forth is mode...

comparison of linear and nonlinear (bilinear) time series models in reference crop evapotranspiration prediction in urmia synoptic stationreference crop evapotranspiration (eto) prediction is one of the important elements in optimizing agricultural water consumption. in this regard, one of the prediction approaches is to use the stochastic time series methods. in this research, ar (p) and arma(...

  In recent years, various time series models have been proposed for financial markets forecasting. In each case, the accuracy of time series forecasting models are fundamental to make decision and hence the research for improving the effectiveness of forecasting models have been curried on. Many researchers have compared different time series models together in order to determine more efficien...