saeid jamali

The tracial cyclic Rokhlin property for automorphisms of simple not necessarily unital C*-algebras is investigated. We show that the tracial cyclic Rokhlin property is preserved by going to certain restrictions to subalgebras and taking direct limit or tensor products of actions. We also show that under certain conditions properties such as real rank zero, the tracial rank zero, stable rank one, (tracial) Z-stability, Property (SP), strict comparison on projections are passed to crossed products under automorphisms with the tracial cyclic Rokhlin property.

Rainfall is one of the variables that have the most impact on runoff. In this study, the inflow of Karun 4, Dez, Karun 3, Rudbar, Sardasht and Zayandeh-Roud dams was modeled using the NAM rainfall-runoff model and past meteorological and hydrological data. In order to determine the amount of rainfall input to the model of North America were received. Then, to select the best precipitation forecasting model, precipitation temporal clustering method and artificial neural network with radial basis function were used. After determining the rainfall and predicting the inflow to the dam to check the performance of the rainfall model selection, the predicted monthly inflow was compared with the actual monthly inflow. The results showed that more than 60 percent of the time in Karun 4 and Sardasht dams, with the cooperation of the best climate model, the rainfall values are close to the observed values. The normalized mean error rate, normalized root mean sum of squares and Nash Sutcliffe in Karun Dam 4 are calculated as -0.064, 0.046 and 0.649, respectively. The results of this research show the importance of rainfall time clustering method to choose the best rainfall climate model to improve irrigation results.

Excessive exploitation of groundwater in Damghan plain has caused many problems such as land subsidence in the study area, along with the reduction of the groundwater level and the loss of a part of the aquifer and the reduction of the specific yield of aquifer. Therefore, in order to control the withdrawal from the aquifer and as a result to reduce the drop in the groundwater level in that plain, it was investigated. For this purpose, in this research, the mathematical modeling of Damghan Plain was done for the optimal management of exploitation and providing the optimal cultivation pattern in order to save water consumption with the focus on controlling the groundwater level and limiting land subsidence.

In this research, Damghan plain aquifer was first simulated using MODFLOW mathematical model. Then, taking into account different scenarios of aquifer exploitation, using the NSGAII genetic algorithm, optimization of multi-objective exploitation of water resources and optimal management of water supply and demand in the agricultural sector was done. The results of the model were evaluated based on statistical error parameters to predict the ground water level.

The results of this research showed that the MODFLOW numerical model was able to simulate the groundwater level of the studied plain well in steady and unsteady conditions in the calibration and validation stages. Also, the results of the simulation-optimization algorithm showed that by changing the cultivation pattern and also by changing the type of irrigation system from traditional to modern irrigation and as a result of increasing the irrigation efficiency (90 percent), the average drop of the groundwater level of the plain can be reduced. It reduced the groundwater level of the study area from 0.49 m in existing conditions to 0.07 m in optimal conditions. This will compensate the deficit of the aquifer from 31.90 to 5.1 million cubic meters per year.

Using management strategies such as changing the cultivation pattern, increasing irrigation efficiency, and also by controlling surface water and injecting it into groundwater, the process of reducing the groundwater level in the studied plain can be completely controlled and provided 100% of the water needs of the plain.

The main purpose of this research was to investigate the effect of leadership style, organizational design and human resource management practices on concealment. Organizational justice and competitive work environment were also considered as mediating variables. The current research is an applied research type and according to the nature of the subject and research objectives, it is a correlation research type (structural equations). The statistical population of the research included 260 employees of the General Department of Education of West Azarbaijan province, of which 171 people were selected by simple random sampling from the statistical population for the implementation of this research. Connelly et al.'s questionnaire to measure the knowledge hiding variable, the reliability of which is 0.75, Avolio et al.'s questionnaire, which has a reliability of 0.92, to measure the leadership style, and Avi et al.'s and Zerla et al.'s questionnaire to measure organizational design. It is 0.92, to measure the human resources management methods, Dudukh, Kiho, Wright, and Pare and Tremblay questionnaire, the reliability of which is 0.86, and for organizational justice, Abu Bakr et al.'s questionnaire, which has a reliability of 0.85, and for the competitive work environment, the Fletcher and Nussbaum that its reliability is 0.77 was used. The information obtained in this research was analyzed at the level of inferential statistics (Pearson correlation coefficient tests, Confirmatory factor analysis and structural equation model). The findings of the research showed that the leadership style, organizational design, human resource management methods due to organizational justice and competitive work environment do not affect the knowledge concealment of employees of the General Department of Education of West Azerbaijan. Leadership style, organizational design have a direct negative effect on knowledge concealment, and competitive work environment has a direct effect on knowledge concealment, leadership style has an indirect negative effect on knowledge concealment through organizational justice, and leadership style has an indirect negative effect on knowledge concealment. Knowledge through a competitive work environment.

Increasing energy demand has made improving the management of resource utilization and energy inevitable. The purpose of this article is to compare the power generation of two power plants of Karun 4 and Rudbar dams in the period of 1397-98 in two cases with flood forecasting and warning without applying and paying attention to flood warning and finally estimating economic benefits and revenues. It is a prediction of the use of this system. Flood forecasting and warning systems are among the non-structural methods of flood management that in combination with structural methods can increase the efficiency of flood management. This system timely warnings through planning and management of dam reservoir operation, enables the creation of broad benefits in reducing flood damage lands. In addition to these benefits, another part of the positive effects of these systems is the increase in electricity production in hydropower plants. The results of this study show that the amount of electricity generation in the power plants of dams in the state of flood warning activity by increasing the release from the turbines of power plants before the flood and preventing overflow, 3.9 and 4.8% more than Flood alert mode is desired during the annual interval.

Flood assessment and forecasting its potential volume is one of the main problems of catchment managers, which needs more cooperation from flood forecasters, users, managers and water users in the region to prevent financial and human losses. The purpose of this study is to provide an appropriate solution to establish a flood forecasting system based on the cooperation of model developers, users and managers in order to improve management and reduce flood damage. In this study, to predict the flow in 5 basins of Karun 4 Dam, Seymareh Dam, Rudbar Dam, Sardasht Dam and Azad during seven years, meteorological maps of two models, COLA and WRF, were used to predict precipitation. The developed NAM simulation model led to forecasting floods in the coming days of the basin and reducing financial and human losses. The results of the reports indicate that 70% of the forecasts are in the observational flood range.

Spondylolysis is one-way stress fracture in the result of high activity or frequent overload looking for excessive extensions and strong and repetitive lumbar vertebrae, which reduces the balance in patients. This study aimed to assess the effect of eight weeks of Pilates exercise on dynamic and static balance in patients with spondylolysis. Fourteen women with spondylolysis diagnosed by a neurosurgeon were selected, and randomly divided into two equal groups of experimental and control. The experimental group performed selected Pilates exercises for eight weeks, three 60-minute session in a week; but during these time, control group did not participate in any treatment activity, and performed normal daily activities. Dynamic (Y test) and static (Stork test) balance were evaluated among the participants before and after eight weeks of training. Repeated measures ANOVA was used to analyze the data among the groups. In experimental group, dynamic balance significantly increased in anterior, medioposterior, and lateroposterior dimensions (P < 0.001), but no significant differences were observed in control group in these dimensions, The differences between the experimental and control groups were significant as well (P < 0.001). In experimental group, static balance significantly increased (P = 0.004), but no significant differences were observed in the control group. The difference between the experimental and control groups was significant, too (P < 0.001). It can be concluded that Pilates selected training could improve dynamic and static balance in patients with spondylolysis. So, it could probably be suggested as a useful modality for rehabilitation in these patients.