Hydrological information is the basis for conducting water balance studies in any region, and surface runoff one of most important hydrological parameters difficult process estimation prediction. This study aims to verification MIKE 11-NAM Model modeling using artificial neural network (ANN), fuzzy inference system (FIS), autoregressive integrated moving average (ARIMA) methods at Al-Jawadiyah ...

Hospitals and health systems should take the following steps to improve their revenue cycle performance: > Collect patient responsibility amounts up front > Reduce credit balance accounts > Reduce preregistered patient no-shows > Identify and manage unbilled accounts receivable Healthcare reform will bring about the most far-reaching changes to hospital operations since the inception of Medicar...

This study aims to evaluate the performance of MIKE 11 NAM model for runoff modeling in case lack data as a on upper basin Orontes River Syria. In this study, was relied one most important hydrological analysis and models. At first, used processed, gaps time series were filled; then, entered into model, trial-and-error method adopt parameters that give best results. By comparing results with me...

The present study was conducted to assess the possible risks induced by construction of Gavi Dam in Ilam Province; western part of Iran, using MIKE-11 model and technique for order of preference by similarity to ideal solution. For this purpose, vulnerable zone of the dam site against the flooding risk of Gavi River was calculated for different return periods. The flooding zones were stimulated...