mohammad sadeghzadeh

Fog computing is increasingly used as a platform for processing Internet of Things applications. Thus, this architecture extends cloud computing services to the edge of the network, where processing may be cheaper and faster. One of the main challenges in providing Quality of Service (QoS) requirements, such as delay and energy consumption in the fog environment, is to pay attention to the energy limitation and low computational capacity of fog nodes, which makes it difficult to assign tasks to fog nodes. This paper first presents a mathematical model for resource allocation with the aim of reducing delay and energy while considering QoS criteria. Then, a combined genetic and grey wolf algorithm is introduced to solve the model. Note that the combination of these two algorithms leads to finding an optimal solution efficiently. Although the implementation of the proposed algorithms has processing costs and computational delay, due to the improvement of QoS criteria, this cost can be ignored. The results show that the combination and simultaneous use of the positive points of the two algorithms improves execution time and completion time of the last task, as well as energy consumption by 18.30%, 15.14%, and 10.21%, respectively, compared to the semi-greedy method.

Today, emotional intelligence is one of the important subjects in the education of students to increase various skills throughout their life. Also, aggression is one of the significant issues of the experts that paying attention to these two issues in the course of students' curriculum can have positive effects. Based on this, the main goal of the present study was to investigate the effect of educational and moral orientations (components) of Nahj al-Balagha on reducing students' aggression.

The current research method was quasi-experimental with pre-test and post-test and with a control group. The project was implemented in the framework of a quasi-experimental method with a pre-test and post-test and with a control group. The target population is all the male students of the first year of high school in one district of Tabriz in the academic year 2016-2017, who were selected by cluster sampling method and 30 students were randomly divided into two experimental (15) and control (15) groups. were replaced and the aggression questionnaire of Bass and Perry (1992) was obtained from both groups. Then, the experimental group was subjected to the intervention of the independent variable "educational and moral components" for 10 sessions, and the control group did not receive any intervention. After the end of the intervention, a post-test of aggression was performed in both groups to determine the effect of the independent variable on the dependent variables of "emotional intelligence, aggression". Data were described and analyzed using standard deviation, mean and covariance analysis.

The findings showed that teaching the educational and moral components of Nahj al-Balagha has an effect on reducing students' aggression and the level of aggression decreases significantly. The calculated F was (72.47) and the significance level was p<0.05. Also, the applicability of using Nahj al-Balagha concepts in schools and other educational centers in order to reduce the aggression of secondary school students had a significant effect. The calculated F was (38.45) and the significance level was p<0.05.

Based on the findings, it can be concluded that using the educational and moral orientations of Nahj al-Balagha is effective on the emotional intelligence and aggression of students, and therefore lesson planners and schools can use these orientations in their education.

Today, the number of micro-distribution networks is increasing. Meanwhile, for various reasons that can be justified in the field of smart grids and electricity market, the optimal operation of these microgrids is of great importance. On the other hand, the existence of high-intensity accidents has been the reason for the creation of micro-networks in many countries, which shows the importance of using multiple micro-networks to deal with these accidents. In this paper, the optimal use of interconnected microgrids to respond to normal and critical conditions is investigated. Since multiple microgrids can be connected to the main network and also to each other, so creating appropriate operating conditions while maintaining their independence is important. The purpose of this paper is to optimize network reliability. In this case, the keys between the microgrids is one of the items that are considered to provide the conditions for optimizing the microgrids. In the presence of renewable energy sources and the reliability of these sources, the simulation is performed by creating a scenario and applying it to the optimization program. The optimization objective function is performed by an evolutionary algorithm called asexual reproduction.