فهرست مطالب فاطمه مجیدپور

Although early warning system processes follow precise models and scenarios, the human part is not fully understood. Most people before and during crises, act according to their interpretive plans, sometimes when the situation may not be dangerous, but can lead to dangerous reactions. The purpose of this study was to provide an indicator that can be used to assess peoplechr('39')s understanding of early warning systems.

This study is a descriptive-analytical study that was conducted in 2019 in a gas refinery in Iran. In the first step, the Perception Index questionnaire was translated into Persian with the help of English language experts. In the next step, the validity and reliability of the questionnaire were assessed. The questionnaires were distributed and completed among 168 refinery personnel. The collected data were analyzed using SPSS software version 24, and Pearson and Spearman correlation coefficients were determined by statistical tests.

The content validity index was 0.8, and the content validity ratio was 0.66. The general index of perception of the rapid warning system in this industry was 71.74 percent. Pearson correlation test did not show a significant correlation between age and perception index (r = 0.060), and also this test showed a positive correlation between perception index and work experience (r = 0.691). Spearman test was used to examine the relationship between two variables of education level and perception index. The results showed that there was a strong correlation between these two variables (rho = 0.746).

The results showed that the perception index in this questionnaire has high validity and reliability and can be used in high-risk industries. The general perception index gained in this industry was in good condition, which means that people are more likely to be well aware at the time of an accident and will behave appropriately. However, it is suggested that the managers of the industry understudy hold training classes related to the early warning systems, hold emergency maneuvers, and familiarize the personnel with different scenarios.

  Taking into consideration the high impact of Diabetes Mellitus type II (DM II) on human's health, identification of risk factors to prevent its development seems essential. Further studies are needed to ensure the positive role of uric acid in the onset of diabetes. This study targeted at investigating the attributed risk of hyperuricemia for the onset of DM II. In the present study, 1641 non-diabetic people, selected through multi-stage random cluster sampling, were followed up for 10 years (2006 - 2016). During the study, data on the variables of the study were collected and entered in SPSS 16 which was used to analyze the data. To calculate the attributions of hyperuricemia in the risk of developing diabetes, Levin's formulas and attributable risk related to the prevalence of exposure during these ten years were used. Findings showed that 54.8% of people with hyperuricemia suffered from DM II., whereas 28.2% of people with normal uric acid level developed diabetes. The Attributable Risk (AR) of hyperuricemia and 75th percentile of serum uric acid for DM II were calculated by the weighted attributable risk formula which was 3.6 % and 24.2 %, respectively. With the treatment of high uric acid, the probability of the incidence of diabetes in hyperuricemia patients was reduced to 24.2% over a 10-year period. In this study, there was a significant correlation between high uric acid level and the risk of diabetes. Therefore, necessary measurements should be taken to treat the hyperuricemia patients in order to prevent the incidence of diabetes caused by high blood acid uric.

This study was designed to investigate the correlation between thermodynamic parameters, ideal solubility and some pharmacokinetic parameters of the compounds. For thermodynamics analysis, 5 mg of pure drug was weighed in a aluminum pan. Thermodynamic parameters were used for determination of ideal solubility. Correlation between ideal solubility and physicochemical and pharmacokinetic parameters was investigated. The results indicated that there is a linear correlation between ideal solubility and permeability with R=0.8. There are also meaningful correlation between ideal solubility and other physicochemical and pharmacokinetic parameters. This investigation revealed that the ideal solubility could be an appropriate parameter for prediction of drugs pharmacokinetics.