in iran’s system of tripartite collective bargaining, does the wage-policy maker consistently react optimally to the best move made by the exchange rate-policy maker (nash-rule) or only to the state of economy (non-nash rule)?. this paper not only investigates the nature of the political game (nash rule against non-nash rule) but also estimates some structural parameters by using 2sls method an...

background: nonalcoholic steatohepatitis (nash), a progressive stage of nonalcoholic fatty liver disease (nafld), is characterized by steatosis with inflammation. investigations have suggested that oxidative stress may play an important role in the progress of nafld to nash. to provide further insights into beneficial effects of antioxidants in nash prevention, we employed two manganese-superox...

conclusions elevated serum pth level was the predictive factor for nash in morbidly obese patients. also, we reported elevated serum liver enzymes, high serum pth levels and older age as predictors of nash in patients seeking obesity surgical treatments. results forty-six patients (34 women, aged 36.5 ± 10.6 years) were analyzed. the mean levels of liver enzymes were significantly higher in the...

Objective(s):Non-alcoholic steatohepatitis (NASH), is an important component of Non-alcoholic fatty liver disease (NAFLD) spectrum, which progresses to the end stage liver disease, if not diagnosed and treated properly. The disproportionate production of pro- and anti-inflammatory adipokines secreted from fat contributes to the pathogenesis of NASH. In this study, the comparative effect of piog...

metabolome analysis is used to evaluate the characteristics and interactions of low molecular weight metabolites under a specific set of conditions. in cirrhosis, hepatocellular carcinoma, non-alcoholic fatty liver disease (nafld) and non-alcoholic steatotic hepatitis (nash) the  liver  does not function thoroughly due to long-term damage. unfortunately the early detection of cirrhosis, hcc, na...

Model-free learning for multi-agent stochastic games is an active area of research. Existing reinforcement algorithms, however, are often restricted to zero-sum games, and applicable only in small state-action spaces or other simplified settings. Here, we develop a new data efficient Deep-Q-learning methodology model-free Nash equilibria general-sum games. The algorithm uses local linear-quadra...