this research investigates factors of enterprise portals of governmental organizations of iran. methods used in this research are literature and descriptive survey. data was gathered by a researcher-made checklist for enterprise portal factors in the enterprise portals of governmental organizations of iran. the checklist contains six factors that are content management, document management, col...

Background: Due to this belief that opium may have beneficial effects on diabetes or cardiovascular risk factors, the present study aimed to assess the potential and possible effects of opium consumption on diabetes control and some cardiovascular risk factors in diabetic patients. Methods: This study enrolled 374 diabetic subjects from diabetes care centers in Kerman, Iran including opium user...

Background: Type-2 diabetes is a risk factor for progressive non-alcoholic fatty liver disease and the majority of diabetic patients have blood lipid disorders, so they take statin drugs. Statins have the adverse effects such as liver dysfunction and increase in liver enzymes. The purpose of this study was to compare the liver enzymes in type 2 diabetic patients who are user and non-user of sta...

due to the quick growth of the world wide web, retrieval of useful informationfrom the internet for a particular web user or a group of users becomes verydifficult. recommendation systems using web usage mining help providing anadaptive web environment for the web users. this paper presents a novel approachfor page recommendation using fuzzy association rule mining algorithm. thismethod extract...

Trust Establishment is one of the significant resources to enhance the scalability and reliability of resources in the cloud environment. To establish a novel trust model on SaaS (Software as a Service) cloud resources and to optimize the resource utilization of multiple user requests, an integrated software trust estimator with multi-user resource competence (IST-MRC) optimization mechanism is...

  One of the most famous methods for recommendation is user-based Collaborative Filtering (CF). This system compares active user’s items rating with historical rating records of other users to find similar users and recommending items which seems interesting to these similar users and have not been rated by the active user. As a way of computing recommendations, the ultimate goal of the user-ba...

the main challenge of a search engine is ranking web documents to provide the best response to a user`s query. despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ranks is of great importance. in this paper, a ranking algorithm based on the reinforcement le...