Kharazmi University

About: Kharazmi University is a education organization based out in Tehran, Iran. It is known for research contribution in the topics: Membrane & Supply chain. The organization has 3395 authors who have published 5321 publications receiving 45645 citations. The organization is also known as: Tarbiat Moallem University of Tehran & Teacher Training University.

An inventory model with controllable lead time and ordering cost, log-normal-distributed demand, and gamma-distributed available capacity

Abstract: Studying the inventory management literature regarding the models with controllable lead time, many researchers have assumed the random demand follows the normal distribution. However, in practice,...

Exploring the role of experience in L2 teachers’ turnover intentions/occupational stress and psychological well-being/grit: A mixed methods study

Abstract: The present mixed methods study examined the relationships among Iranian English as a Foreign Language (EFL) teachers’ turnover intentions, occupational stress, psychological well-being, and grit i...

The Role of Spirituality and Social Support in Pregnant Women's Anxiety, Depression and Stress Symptoms

Abstract: Introduction: Symptoms of anxiety and depression in pregnant women are traumatic factors which are associated with social support and spirituality, therefore the aim of this study was to investigate the role of spiritual and social support in the prediction of anxiety, depression and stress in pregnant women. Materials and Methods: The method for this descriptive study was a predictive correlation design. The statistical population of the current study included all pregnant women referred to health centers of Shahid Eskandari Kalak and Shahid Turkiyan Rajaee in Karaj city in the second half of 2014. One hundred fifty five pregnant women were selected based on convenient sampling and considering the inclusion and exclusion criteria. Data was collected using perceived social support scale, spiritual health questionnaire, depression, anxiety and stress scale (DASS 42) and demographic data form. Descriptive and inferential statistical methods, including, correlation and stepwise regression were analyzed with the SPSS-22 software. Results: The findings of the research showed that symptoms of anxiety, depression and stress had inverse relationship with social support (r=0.14 in. .67) and spirituality (r=0.20 in. .55). The findings also revealed that family support, spirituality and the support of friends as predictor variables predict 55 percent of the anxiety's variance and family support and spirituality predict %41 of depression's variance. Finally family support predicts %18 of stress' variance in pregnant women. Conclusion: The results showed that anxiety, depression and stress in pregnant women have an inverse relationship with spirituality and social support. It is recommended that social protection and spirituality in pregnant women with symptoms of anxiety and depression should be considered.

Assessment of Slope Instability and Risk Analysis of Road Cut Slopes in Lashotor Pass, Iran

Abstract: Assessment of the stability of natural and artificial rock slopes is an important topic in the rock mechanics sciences. One of the most widely used methods for this purpose is the classification of the slope rock mass. In the recent decades, several rock slope classification systems are presented by many researchers. Each one of these rock mass classification systems uses different parameters and rating systems. These differences are due to the diversity of affecting parameters and the degree of influence on the rock slope stability. Another important point in rock slope stability is appraisal hazard and risk analysis. In the risk analysis, the degree of danger of rock slope instability is determined. The Lashotor pass is located in the Shiraz-Isfahan highway in Iran. Field surveys indicate that there are high potentialities of instability in the road cut slopes of the Lashotor pass. In the current paper, the stability of the rock slopes in the Lashotor pass is studied comprehensively with different classification methods. For risk analyses, we estimated dangerous area by use of the RocFall software. Furthermore, the dangers of falling rocks for the vehicles passing the Lashotor pass are estimated according to rockfall hazard rating system.