درخت حوزه‌های تخصصی

on one hand, Iran due to the low annual rainfall and lack of appropriate spatial and temporal distribution in precipitation is considered as an arid and semi-arid country experiencing stress and water scarcity; on the other hand, 90% of annual water consumption has been allocated to agriculture sector in Iran and efficiency and productivity of water consumption do not enjoy favorable status in this sector. While it can overcome this problem by use of virtual water criterion in trade with the countries which enjoy water status such as Turkey. In this regards, the present study has examined this issue in form of selected agriculture goods based on common indices for detection of trade opportunities. Cosine criterion indicated that the degree of similarity and complementary of Turkey’s export with Iran is greater than structural similarity of Iran’s export with Turkey. With regard to trade potential calculations, Iran and Turkey have high export capacity in trade of agriculture goods. Further, Index of Drysdale indicated that the possibility for development of trade from Turkey to Iran is greater than trade from Iran to Turkey and ultimately adjustment of Balasa index based on virtual water trade process indicated that Iran should change its import and export priorities at area of agriculture products. Further, results from research indicate that applying virtual water criterion and removing the products lacking relative advantage in trade between Iran and Turkey result in increase in export of Turkey’s agricultural products to Iran and increase in Iran’s benefit in trade of virtual water.

Value stream mapping because of being able to understand process bottlenecks, as one of the most common tools for analyzing, identifying and eliminating various losses in operational and support processes are used. On the other hand, inventory management, precise control entry and exit of goods, accurate and timely information about the inventories status and planning, reduce product maintenance costs, including important issues organizations have a special look to it to consider the whole objectives and strategies, making procedures and policies that have a positive effect on the overall organization’s economy. In this paper, the use of value stream mapping as a lean production technique, in a production process to improve inventory control is discussed. This is a tool seeks to reduce losses, especially losses related to inventory by mining a bearing manufacturer companies. In this study, the literature of value stream mapping considered. The current state and future state of the company drawn in order to improve production process and losses in the company's future status. In addition, after drawing the mapping, the results of the simulation software Arena and the final report suggests that the use of this technique has an impact on reduce losses and increase inventory turnover.

Nowadays, one of the topics of interest to researchers is the authority of teachers, and fades it in universities. Look at the reality in the society and comparing with historical context motivates researchers to question why some of the professors at the university have less authority. For this purpose, this research is trying to focus on economic and demographic factors, to answer questions. The method used in this research is descriptive analysis using survey techniques and data collection tool is a questionnaire. The population consisted of professors of Kermanshah PNU in the academic year 2011-2012, total number of them is equal to 258. Due to the large size of the population, using the Lin sampling table sample size is 258, which for the study based on striated random sampling were selected. In the present study, face validity assessment method and construct validity based on factor analysis were used. To determine the reliability of the statements of each variable, Cronbach's alpha used. Results using SPSS21 and Amos21 statistical software were analyzed. Mean traditional authority equal to 13.57, then charisma authority13.54, and intellectual authority is 18.72. The dimensions compared with the average expected for above dimension respectively traditional authority 15, charisma authority 12, intellectual authority is 15. The results show that there is a significant relationship between relative deprivation and professor’s authority (r=-0.301), the use of mass media and professor’s authority (r=0.161), monthly income and professor’s authority (r=-0.153). In addition, the results of comparison show that average of the professor’s authority among the courses is different, and this difference based on f test is significant. The average professor’s authority, for people with different degrees is different. The results of Multiple regression indicate that the traditional authority (T=4.335), self-esteem (T =3.925), charismatic authority (T =3.788), and the relative deprivation (T =-2.287), total 0.42 from internal changes explain the value of professor’s authority variables. Furthermore, the results of structural equation shows that Chi square insignificant CMIN is equal to 211.143, square root index mean residual square or RMSEA is equal to 0.075, RMR index or residuals mean square root is equal to 0.098, the Chi-square to the degrees of freedom ratio CMIN.dF in model is 3.199, against the CFI comparative fit index 0.926, and comparative fit index thrifty PCFI, are equal to 0.671 Comparative and thrifty indicators for evaluating the overall model calculated that show collected data to support the theoretical model considered.

A sensitivity analysis of the flood safety of Solaimantangeh dam using a regional climate change simulation is presented. Based on the output of the CCSM (Community Climate Change System Model) general circulation model, the NIRCM (North of Iran Regional Climate Model) computes regional scale output with 50 km spatial resolution and 21 vertical layers. Using the SRES (Special Report Emission Scenario) “B1” Climate Change Scenario when applied to the Tajan river basin, where Solaimantangeh dam is located, NIRCM reduces significantly the bias in Annual Maximum Event total Precipitation (AMEP) & Annual Maximum Daily Precipitation (AMDP) that CCSM shows. The stream flow change scenario is then simulated using SSARR (Stream flow Synthesis and Reservoir Regulation) model. A rainfall-runoff model was implemented using precipitation and temperature projected by CCSM and NIRCM. The model demonstrated that average Stream flow would increases 38.7% and the variability would increases 14.3%. This remarkable increase in projected annual maximum flow for the next 20 years (2004-2023) should be a significant negative signal to water resources managers. The results indicate that the number of floods remains almost the same, but that the magnitude of a single flood event and the recovery from it become worse.