مطالب

Objective:   This study was conducted to investigate the relationship between attachment styles and aggression with individual-social adjustment in married women referring to family counseling centers in Hamadan. Methods: The survey research method was correlational and its statistical population included all married women referring to family counseling centers in Hamadan in 2020. They were selected by simple random sampling. Data collection tools were the Collins and Read Attachment Styles Questionnaire (1990), Buss & Perry Aggression Questionnaire (1992) and the California Socio-Individual Adjustment Scale (1993 ). Data analyzed through regression method and by the SPSS-22 software. Results: The results showed that among attachment styles, only between secure attachment style with increasing individual-social adjustment of married women. There was a positive and significant relationship and there is a significant and negative relationship between aggression and increasing individual-social adjustment of married women. Conclusion: It can be concluded that among the attachment styles, there was only a positive and significant relationship between secure attachment style with increasing the individual-social adjustment of married women. Also, there was a negative and significant relationship between aggression and social adjustment. In general, the results have shown that the attachment styles and aggression of married women determine their individual and social adjustment.

Objective:    The aim of this study was to compare the life satisfaction and hoping in mothers of children with special learning disabilities, autism spectrum disorders, and normal. Methods:  The present research method was causal-comparative. The statistical population of was mothers of fifth and sixth-grade children in the north of Tehran, whose children, according to expert diagnosis, had a special learning disability and autism spectrum disorder, and mothers were selected from a normal group too. Finally, the sample of 90 people (30 people in each group) was selected by non-probabilistic and purposeful sampling method. The tools used were Snyder's Hoping Scale and Huebner's Life Satisfaction Multidimensional Scale. Results: The results showed that the mean score of hoping in mothers with autistic children was lower than that of mothers with disability and normal children (p<0.01), and the mean life satisfaction score of mothers with normal children was higher than that of mothers with autism children (p<0.01). Also, the mean score of hoping and life satisfaction of mothers with specific learning disability children was more than mothers with autism children (p<0.01). Conclusion: The relatively low level of hoping and life satisfaction in mothers of children with autism spectrum need more attention and arrangements which is very important for their psycho-social empowerment

Objective: Violence against spouse is an important and serious social damage that exists between couples and nowadays it is still observed despite cultural advances and changes in thinking style. Therefore, the present study was conducted with the aim of predicting violence against spouse based on childhood maltreatment experiences of divorce seekers in Isfahan. Methods: The method of this study was descriptive-correlational. In addition, the statistical population of the study included all divorce seekers who were referred to the counseling centers under the contract with Isfahan court of law. These people had already registered in an online divorce platform named Tasmim from May to July in 2021. 211 people were selected by available sampling method for the study and answered the questionnaires. The instruments used in this study were Strauss et al.'s Conflict Tactics Questionnaire (CTS2) and Childhood Trauma Questionnaire (CTQ). Data analysis was performed by SPSS 22 software, Pearson correlation test and multiple regression analysis. Results: Pearson correlation findings indicated that all types of maltreatment including physical neglect, emotional neglect, physical abuse, emotional abuse and sexual abuse had a positive and significant relationship with violence against spouse. Furthermore, the results of regression analysis showed that among different types of maltreatment, emotional neglect and emotional abuse predict violence against spouse in divorce seekers in Isfahan. Conclusion: Therefore, it can be concluded that child maltreatment can lead to violence against spouse in the future.

This study aimed to compare impulsivity, sleep disorder, and suicidal thoughts in marijuana users and non-users. The present study was a comparative causal study. The statistical population of this study included students consuming marijuana as well as non-consuming students at the University of Gilan. Fifty male students consuming marijuana in the age group of 18 to 33 years were selected by purposive and snowballs sampling, and 50 non-consuming students were selected and placed in the other group. Participants completed the Bart (1995) Impulse Scale, the Pittsburgh Sleep Quality Index (1989), and the Beck Suicide Thought Scale (1961), respectively. Data were analyzed using multivariate analysis of variance, chi-square test, and independent t-test with SPSS-22 software. The results showed that marijuana users scored higher on all three subscales of impulsivity, i.e., cognitive, motor, and unplanned impulsivity, and showed a significant difference with the non-consumer group. In terms of sleep disorders, marijuana abusers in six subscales out of seven subscales, i.e., mental quality, sleep delay, sufficient sleep, sleep disorders, hypnotic drug, and daily sleep disorders, a significant difference with the non-consumer group. Moreover, in the suicidal ideation scale, people with marijuana abuse had a higher mean score on the Beck suicidal thoughts scale. Conclusion: The research findings can be used in designing therapeutic interventions for people addicted to marijuana.

Forming a portfolio of different stocks instead of buying a particular type of stock can reduce the potential loss of investing in the stock market. Although forming a portfolio based solely on past data is the main theme of various researches in this field, considering a portfolio of different stocks regardless of their future return can reduce the profits of investment. The aim of this paper is to introduce a new two-phase approach to forming an optimal portfolio using the predicted stock trend pat-tern. In the first phase, we use the Hurst exponent as a filter to identify stable stocks and then, we use a meta-heuristic algorithm such as the support vector regression algorithm to predict stable stock price trends. In the next phase, according to the predicted price trend of each stock having a positive return, we start arranging the portfolio based on the type of stock and the percentage of allocated capacity of the total portfolio to that stock. To this end, we use the multi-objective particle swarm optimization algorithm to determine the optimal portfolios as well as the optimal weights corresponding to each stock. The sample, which was selected using the systematic removal method, consists of active firms listed on the Tehran Stock Ex-change from 2018 to 2020. Experimental results, obtained from a portfolio based on the prediction of stock price trends, indicate that our suggested approach outperforms the retrospective approaches in approximating the actual efficient frontier of the problem, in terms of both diversity and convergence.

Today, health tourism is a growing phenomenon, especially in developing countries, which has been greatly affected by the Covid 19 crisis. After overcoming this crisis and re-competing in this industry, our country also needs to develop capabilities. Take your marketing step and move towards being financially agile. Agility, or the ability to adapt quickly and in a timely manner to changing international markets at low cost and high added value, is therefore cost-effective. The present study was conducted with the exploratory mixed research method and the purpose of designing and validating the agile financial marketing capability model in the health tourism industry in Iran. The statistical population includes health tourism industry experts and prominent professors in the field of finance who have worked in medical centers that provide health tourism services. The research findings led to the identification of 14 main concepts that were presented in the form of a paradigm model and the central category of agile financial marketing capabilities (specialized and structural capabilities) was empirically examined with real data and confirmed.

One of the most critical indicators of one-factor productivity is the labor productivity index. This index has various and broad applications in the dimensions of economic policy. On the one hand, the labor productivity index determines per capita income levels and living standards. On the other hand, efficiency combined with other factors such as capital stock can make technical changes. The issue of how monetary and exchange rate variables affect labor productivity has been of particular importance in recent international studies. Due to the importance of the issue, this study investigates the asymmetric effect of exchange rate and bank facility rates on labor productivity in Iran in 1971-2018. The results of model estimation by self-explanatory method with nonlinear autoregressive distributed lag (NARDL) indicate that in the short and long run, the effect of free-market exchange rates and bank lending rates on labor productivity is asymmetric so that reductions in exchange rates have a significant direct effect on labor productivity and increases are not significant. In addition, increases in bank lending rates have a direct effect and reductions have an adverse effect on labor productivity.