Epidemiological Study of Poisoning in Teaching Hospitals in Shiraz in 1387

Background/Objective: Poisoning is One common cause of referred cases , especially in the adolescent and young group to hospital emergency department. This study was designed to determine Epidemiologic of poisoning in teaching hospitals, shiraz in 1387 Methods: This is a cross-sectional study that 266 sample via random sampling with 95% confidence interval and α 0.05 were considered. Results: There were 47% female and 53% male. 67.2 percent of poisoned patient were single and 32.8% were married. This study showed, highest rate of poisoning was between the age of 20-35 years. Most common season of poisoning was in spring. Overall mortality of our study was 1.6 percent. Conclusions: Regional epidemiological information, make rational use of resources in order to prevention and control of poisoning and with using analysis of effective factors will be reduced poisoning by policymakers and planners

Mechanizing Social Trust-Aware Recommenders with T-Index Augmented Trustworthiness

Social Networks have dominated growth and popularity of the Web to an extent which has never been witnessed before. Such popularity puts forward issue of trust to the participants of Social Networks. Collaborative Filtering Recommenders have been among many systems which have begun taking full advantage of Social Trust phenomena for generating more accurate predictions. For analyzing the evolution of constructed networks of trust, we utilize Collaborative Filtering enhanced with T-index as an estimate of a user’s trustworthiness to identify and select neighbors in an effective manner. Our empirical evaluation demonstrates how T-index improves the Trust Network structure by generating connections to more trustworthy users. We also show that exploiting T-index results in better prediction accuracy and coverage of recommendations collected along few edges that connect users on a network