Introduction: To reduce occupational accidents and work-related diseases as well as improving satisfaction of working conditions, Assessment to identify risks and control measures are necessary. The aim of this study, applying ergonomic assessment indices to assessed the job groups and ability of textile workers.

Materials and methods: This study was conducted on 194 men employed in the QaemBaft textile company. Relative Stress Index (RSI) was used to assess the textile job groups. Also; Work Ability Index (WAI) was used to assess the personnel’s ability.

Results: Results of RSI for 15 job groups showed that all jobs were in the Safe zone. Also results of WAI showed that only “Open “job was to have good level of ability and other job groups were to have intermediate level of ability.

Introduction: The protozoan parasite, Cryptosporidium Spp., widely spreads in both raw and drinking waters. It is the causative agents of waterborne diarrhea and gastroenteritis in the world. In the present study, a molecular assay was used for the detection and quantification of Cryptosporidium oocysts in environmental water samples.

Materials and methods: Thirty surface water samples were collected from Rasht City rivers and lagoons during 2009-2010. The samples were analysed for Cryptosporidium oocysts using Real Time PCR method. Samples were filtrated through a 1.2µm pore size cellulose nitrate membrane filter and then purified and quantified by Real-time PCR technique.

Results: Cryptosporidium oocysts were found in 19 of 30 the samples. Oocyst concentration was ranging from 0.007 to 27 oocysts per liter of the examined waters.

Conclusion: The present study showed that the investigated water supplies were contaminated by Cryptosporidium oocyst. This study indicated that in this level of oocysts there is a potential risk of waterborne cryptosporidiosis due to direct or indirect consumption of these waters by humans and animals. Real-time PCR is a technique that provides high sensitivity for detection quantitative purposes.

Introduction: The phenomenon of suicide has been considered by experts of social sciences and psychology. Considering the issue of suicide, a precise analysis must first be carried out in a specific geographic region. Secondly, the cultural coordinates of the climate should be taken into account. The purpose of this study was to investigate the factors and methods of suicide in Ilam province.
Materials and methods: The statistical population of this research included all suicide cases committed in Ilam province from 2012 to 2016. The total sample size based on the recorded cases from 2012 to 2016 was 3078 cases. Data analysis of this research was done at two levels of descriptive and responding to research questions. At the descriptive level, indicators such as frequency, percentage, cross-tables, and frequency distribution charts were used. In the answer section of the research Kruskal Wallis and Xi-Du were used.  
Results: There was a significant difference between the frequency of successful and unsuccessful suicides. 10.92% of suicides were successful and 89.08% were unsuccessful. Men tended to suicide more than women, but this was not statistically significant. In some age groups, suicide rates were higher than other groups, 34.7% were suicidal in the 21 to 25 age group, 30.06% in the age group of 31 and older, and 34.24% in the remaining age groups. Considering the methods, 73% of suicides have used pills over the last five years, and there was a significant relationship between the motivation of individuals and their tendency towards suicide (48.4%).
Conclusion: The results of this study revealed that in committing suicide the individual, social, and psychological factors play the main roles, the results also presented the rate of being successful or unsuccessful in committing suicides, the gender of these attempters, their age range, the education level, the manner of committing, and finally their motive to commit suicide in years of 2012 to 2016.

Introduction: In the third millennium, we need employees and organizations that can adapt quickly to change and use challenges as an opportunity for growth and prosperity. The purpose of this study was to investigate the current status of positive organizational behavior in government organizations with emphasis on Iranian Islamic values.
Materials and methods: The statistical population of the research consisted of all government agencies, which were selected from the sample of 384 according to the Morgan Table. For this purpose, more accurate results were obtained and the data required for the research were collected. Data analysis was performed using SPSS software. T-test and analysis of variance were used to confirm or reject the relevant questions. Also, Cronbach's alpha test was used to determine the reliability of the research questionnaire.
Results: Correlation of the positive organizational behavior with Islamic positive organizational behavior, performance, culture, structure and technology was 0.69, 0.56, 0.34, 055, 0.19 and 0.35 respectively. According to the analysis on research variables, two important variables, positive organizational behavior and positive Islamic organizational behavior were identified
Conclusion: The findings of this study show that positive organizational behavior (flexibility) has a significant relationship with organizational performance.

Introduction: Improving the quality, safety and effectiveness of health care services is the most important advantages of using the Public Health Information Exchange (PHIE) infrastructure. This infrastructure has three centralized, decentralized, and hybrid architectures. This study sought to identify the most appropriate technical architecture for the coronavirus disease (COVID-19) Information Exchange (CoVIE) based expert panels.
Materials and methods: In order to identify the desired CoVIE technical architecture, a qualitative approach was used and a number of meetings were held with experts in Health Information Technology and Management (HITM) and Health Informatics fields working at Iran, Tehran and Shahid Beheshti University of Medical Sciences (IUMS, TUMS and SBUMS). Basic concepts, including the type of technical architecture and exchange context, were categorized and discussed in terms of themes, sub-themes, and codes. Finally, the results were evaluated using content analysis and descriptive statistics.
Results: The universities of Iran and Tehran had chosen hybrid model in national context and Shahid Beheshti University selected regional centralized model as the optimal technical architecture for CoVIE. 
Conclusion: Hybrid model with implementation at national context was selected for CoVIE in Iranian health system. Implementation of this architecture improves the effective management of information exchange in the context of CoVIE.

Introduction: This study aimed to predict the risk of mortality among COVID-19 patients in the central region of Iran by employing the Charlson Comorbidity Index (CCI), with adjustments made for age in the predictive model.
Materials & Methods: In this cross-sectional study, encompassing all probable, suspicious, and confirmed COVID-19 cases from the onset of the pandemic (55307 individuals), 3415 cases resulting in death were designated as the study group, while the survivors constituted the control group.
Results: The Charlson Comorbidity Index revealed that over 11 percent of all patients had at least one underlying medical condition. Logistic regression analysis indicated a significantly elevated likelihood of mortality among patients with comorbidities. Specifically, individuals with a CCI score of 6 or higher were more than twice as likely to succumb to the virus compared to those without underlying diseases. Those with a score of 6 or more exhibited the highest odds ratio (OR 2.4; 95% CI 1.3-4.5).
Conclusion: The study findings underscore the heightened vulnerability of individuals to COVID-19 mortality, particularly among the elderly with pre-existing health conditions. The coexistence of age and comorbidities substantially increased the risk of death due to COVID-19 in this population. Consequently, targeted interventions and focused care strategies may be crucial for this high-risk demographic in pandemic management efforts.