درخت حوزه‌های تخصصی

Purpose: The purpose of this study was to study the effect of family therapy in hope therapy method on the reduction of marital conflicts in couples. Methodology: The statistical population of the study included all incompatible couples referring to Pishro counseling center. The sample consisted of 30 couples who were selected based on entry and exit criteria and were randomly divided into two groups (each one consisted of 15 couples). They were evaluated using research tools before and after interventions. The research tools included Marital Conflict Questionnaire (MCQ) and Penis Marital Disturbance Scale. Data were analyzed using multivariate covariance analysis. Findings: The results of the data analysis indicated that there is a significant difference in variables of marital conflicts and marital disturbance of hope therapy group and the control group by removing the effect of pre-test variable (P<0.01). Discussion: Hoping-paired enrichment interventions have led to clinical changes in couple relationships and increasing the level of positive interactions.

The special issue aims to cover the latest research topics in designing and deploying visual information analytics and management techniques using deep learning. It is intended to serve as a platform to researchers who want to present research in deep learning. The special issue focuses explicitly on deep learning and its application in visual computing and signal processing. It emphasizes on the extent to which Deep Learning can help specialists in understanding and analyzing complex images and signals. The field of Visual Information Analytics and Management is considered in its broadest sense and covers both digital and analog aspects. This involves development of techniques for image analysis, understanding and restoration. Deep learning techniques are effective for visual analytics. Deep learning is a fast growing area and is gaining impetus for application in various fields. Therefore, in this special issue, the objective is to publish articles related to deep learning in various problems of visual information analytics and management.

  Objective : Social networks have become widely popular among young people in recent years. This research was conducted with the aim of analyzing the content of young people's attitude towards the positive and negative effects of Instagram. Methods : The approach of the current research is qualitative and its method is qualitative content analysis. Among the students of Islamic Azad University of Shiraz, 13 students were selected in a purposeful way until the theoretical saturation of the data and were subjected to a semi-structured interview. Coding of the interviews was done in three steps and manually. Finding : The coding of the interviews shows 5 components of increasing awareness (with the subcomponents of enhancing awareness in various fields, learning techniques and skills, increasing media literacy), strengthening relationships (with the subcomponents of awareness of the conditions of friends and relatives, holding celebrations and occasions and strengthening group connection), addiction to Instagram (with the subcomponents of excessive use of Instagram, failure to handle other tasks and unpleasant mental states when not using Instagram), physical and psychological problems (with the subcomponents of negative effects on sleep, negative effects on attention and concentration, experiencing negative and unpleasant emotions and physical pains) and disruption in social ties (with the subcomponents of increased social comparisons, inequality and injustice, mistrust of others and social scandal). Conclusion : According to these findings, it can be concluded that the expansion of social networks, especially Instagram, in recent years has been associated with positive and negative individual and social consequences, which are necessary and vital to pay attention to by the relevant institutions.

Purpose: The examination, investigating and relationship between costs, benefit and attachment to the environment by mediating behavioral attitudes among sports tourists. Method: The population of the study consisted of all sports spectators of 27th Fajr Open and Esteghlal vs. Tractor rematch from 15th Persian Gulf Pro League. According to Kukran formula sample size was equal to 722 persons. 920 questionnaires distributed among population that 722 questionnaires were analyzed. In order to collect data a self-made questionnaire was used which it's validity confirmed by 5 sports teachers of Razi and Tehran university and variables reliability was calculated by using Cronbach's alpha coefficient which was equal to 0.89. Data analysis done by using the descriptive and inferential statistics include Kolmogorov–Smirnov, Pearson correlation, path analysis of structural equations, Regression and also AMOS-21 and SPSS-22. The results showed that environmental communication should be formed within the right framework, encourage people to Environmentally Responsible Behavior through a bonus is not necessarily effective and doesn't encourage sports spectator. Results: Result showed that spectators display more cooperation through targeting for enjoyment and are sensitive toward any perceived cost in the implementation of Environmentally Responsible Behavior. The result also showed if cooperation with Environmental Management System doesn't take too much time and totally doesn't interfere with their enjoyment of watching match, they will support it automatically. The results also suggest the need to design efficient equipment to ensure ease of use and as a result reducing the perceived cost associated with Environmentally Responsible Behavior. Conclusions: Sports event owners can encourage spectators to do the Environmentally Responsible Behavior by connecting with them and also induce this fact to spectators that associate with the event can assist them to experience higher quality events in the future.