Water reservoir programming studies aim to determine the final cultivated land area based on predefined agricultural models and water requirements. Dam utilization rule curve is also provided in such studies. The system of Dez dam water resources was simulated applying the basic information in order to determine the capability of its reservoir to provide the objectives of the performed plan. As...

In this study a simulation-optimization model is developed for deriving operation rule-curves in drought ‎periods. To each reservoir, two rule-curves with adjustable monthly levels are introduced dividing the ‎reservoir capacity into three zones between the normal water level and minimum operation level. To each ‎zone of a reservoir and for each month of the year a hedging coefficient is introd...

BACKGROUND & AIMS Prevention of recurrent Clostridium difficile infection (CDI) is a substantial therapeutic challenge. A previous prospective study of 63 patients with CDI identified risk factors associated with recurrence. This study aimed to develop a prediction rule for recurrent CDI using the above derivation cohort and prospectively evaluate the performance of this rule in an independent ...

background: the diagnosis of pulmonary tuberculosis (ptb) is complicated and time-consuming currently. there was association of ptb with serum tumor markers. in this study we aimed to evaluate the predictive role of serum ca125, ca199 and cea as diagnostic tools for ptb. methods: this study was designed as a case-control study with 565 subjects who visited the yijishan hospital from jun to dec ...

background: metabolic syndrome (metsy), an important predisposing factor for the most of noncommunicable diseases, has become a global pandemic. given different definitions used for the metsy, recently using a score termed “continuous metsy risk score (cmetsys)” is recommended. the aim of this study was to provide a cmetsys in a population-based sample of iranian adults and to assess its determ...

This article considers receiver operating characteristic (ROC) analysis for bivariate marker measurements. The research interest is to extend tools and rules from univariate marker to bivariate marker setting for evaluating predictive accuracy of markers using a tree-based classification rule. Using an and-or classifier, an ROC function together with a weighted ROC function (WROC) and their con...

We develop a non-linear forecast combination rule based on copulas that incorporate the dynamic interaction between individual predictors. This approach is optimal in the sense that the resulting combined forecast produces the highest discriminatory power as measured by the receiver operating characteristic (ROC) curve. Under additional assumptions, this rule is shown to be equivalent to the qu...