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  Subjective : Psychological problems are involved in many psychosomatic disorders. Gastric ulcer is also related to psychological problems as one of the psychosomatic disorders. This research was conducted with the aim of comparison of emotion regulation in gastric ulcer sufferers and non-sufferers. Methods : This research is descriptive and causal-comparative. 100 patients with gastric ulcer and referred to Imam Hussein Hospital in Tehran in 2022 were selected by convenience sampling method and compared with 100 of their companions who did not have gastric ulcer. Both groups responded to Difficulties in Emotion Regulation Scale (DERS). Data were analyzed with multivariate analysis of variance and SPSS-21 software. Results : The findings showed that the total score of difficulties in emotion regulation and its subscales (non-acceptance of negative emotions, difficulties engaging in goal-directed behaviors, difficulties controlling impulsive behaviors, limited access to effective emotion regulation strategies, lack of emotional awareness, lack of emotional clarity) in patients with gastric ulcer is significantly higher than of non-afflicted people (P<0.001). Conclusion : According to this finding, it can be concluded that the difficulty in regulating emotions may play a role in gastric ulcers. It seems that patients with gastric ulcer are less able to identify and understand their emotions and less able to manage their emotions properly. Therefore, the accumulation of psychological pressure caused by negative emotions can cause their symptoms to appear or intensify.

Iran Language Institute (ILI) plays a crucial role in teaching English in Iran and offers a comprehensive Teacher Training Course (TTC) for the teachers before their being employed. Still, these teachers encounter difficulties in different areas, but there are few studies investigating the teaching challenges of EFL teachers teaching at ILI. Thus, this study investigated the teaching challenges of newly-hired and experienced teachers, teaching at different age levels. The data were gathered data through 100 classroom observation forms belonging to 18 kids’ teachers, 47 young-adults’ teachers, and 35 adults’ teachers (69 experienced and 31 newly-hired). We also interviewed with 5 kids’ teachers, 5 young-adults’ teachers, and 6 adults’ teachers. It was revealed that young-adults’ teachers faced fewer challenges than kids’ and adults’ teachers. Besides, experienced teachers encountered fewer problems than newly-hired teachers. The results of the observation forms were different from the interviews. However, time management was the only problem which was mentioned in the interviews, observation forms, and different age levels. According to the teachers, the reason behind these challenges was the intensive syllabus, old books and videos, and teachers’ having to follow a series of fixed teaching steps.

This study investigated the effects of three vocabulary development strategies of keyword method, thematic clustering and developing morphological awareness on the Iranian EFL learners’ vocabulary repertoire. Adopting a quasi-experimental design, sixty high-intermediate to advanced Iranian EFL learners were randomly assigned to three experimental groups and partook six online sessions of vocabulary instruction during a week. Using a pre-test and three post-tests, the vocabulary repertoire of the subjects was measured. The pre-test was administered a week before the commencement of the treatment sessions; the first post-test was administered immediately after each treatment; the second post-test was held 24 hours after each treatment and the third post-test was held one week after the end of the treatment sessions. Paribakht and Wesche (1993) model of measuring vocabulary enhancement was used to quantify the vocabulary repertoire of the subjects. Split-plot ANOVA test revealed that the subjects in the keyword group outperformed the subjects in the other two groups in all the three post-tests. Moreover, it was revealed that the thematic clustering group outperformed the developing morphological awareness group. The findings of this research may have pedagogical implications for English teachers, learners and material developers.

This study aimed at investigating the L2 rhetorical organization of translation and free writing tasks in terms of cohesive devices used by Iraqi intermediate EFL learners in the narrative genre. To do so, 30 Iraqi intermediate EFL learners at Kufa university took part in the study. The participants were asked to translate three narrative texts from Arabic to English and write three narratives related to the general topics given to them as prompts. The narratives were coded and rated by two experts based on Halliday and Hasan’s (1976) framework. The data obtained from translation narratives were compared with a standard translation for each text. Results of the one-sample t-test performed on the scores of translation narratives indicated that Iraqi leaners produce shorter passages in the target language than in the source language; however, they used significantly more times than expected for certain types of cohesive devices. Moreover, comparisons between translated narratives and free narratives indicated no significant difference between the translated and composed narratives. It is argued that patterns of cohesive devices used in English output of the Iraqi EFL learners are compatible with properties of their first language. The findings also show that, unlike English grammatical properties, cohesive devices are not a problematic area and would not lead to fossilized errors in the performance of Iraqi EFL learners.

In the multifaceted landscape of entrepreneurship, this research delves into the intricate relationship between entrepreneurial orientation and entrepreneurial intention, focusing specifically on the final-year female undergraduates in Nigerian federal universities. Grounded in the Human Capital Theory (HCT), this study uncovers profound insights into the multifaceted relationships between various entrepreneurial traits and their influence on entrepreneurial intentions. The findings reveal a nuanced relationship between traits such as autonomy, competitive aggressiveness, risk-taking, self-esteem, and the sense of inclusion with entrepreneurial intentions. Autonomy and competitive aggressiveness emerge as significant influencers, while risk-taking displays a non-significant association. Self-esteem holds profound implications, while the sense of inclusion exerts a more subdued impact on entrepreneurial intentions. Theoretical implications challenge and expand existing frameworks, notably HCT. While HCT posits that investments in education and training foster entrepreneurial traits, this study suggests a more intricate relationship. The non-significant association of certain traits, despite their emphasis in HCT, underscores the need for a nuanced understanding, possibly integrating other theoretical frameworks. From a practical standpoint, these findings guide policymakers and educators in designing targeted interventions. Specialized training programs, workshops, and courses emphasizing autonomy, competitive aggressiveness, and self-esteem can be developed. Integrating competitive elements, like business plan competitions, can nurture students' competitive drive. Policy recommendations include tailored entrepreneurial education, fostering inclusive environments, promoting a risk-taking culture, supporting longitudinal studies, and enhancing collaboration between educational institutions and industry.

Industrial investment in Iran, especially in the wake of sanctions’ intensification in the 2010s, decreased significantly. The government implemented fiscal policy which has been associated with uncertainty. In this paper, using a dynamic panel model and generalized method of moments, we examined the effect of fiscal policy uncertainty on investment in 24 industrial groups in Iran over the period 2002-2020. The results indicated that the growth of fiscal level shock,resulted in a low but positive effect on investment directly. However,the coefficient of cross effect between the growth of fiscal level shock and the fiscal policy uncertainty undermined the positive effect on industrial investment. The government has had two effects on industrial investment indirectly through the demand side shock. By creating demand, it has had a positive effect on industrial investment with the cross effect between the growth of the fiscal level shock and industrial sales. However, on the other hand, the growth of the fiscal level shock has been associated with the creation and growth of fiscal policy uncertainty, so that the cross effect between the growth of fiscal policy uncertainty and the growth of industrial sales on industrial investment shows a high negative coefficient. The results of these two effects suggest that due to high uncertainty,the indirect government effect on investment in 24 industrial groups is negative, which happens through the demand-side shock. Moreover, the growth of fiscal policy uncertainty, sanctions, and interest rates, respectively, have had the most adverse effect on investment in 24 industrial groups in Iran.

Portfolio optimization which means choosing the right stocks based on the highest return and lowest risk, is one of the most effective steps in making optimal investment decisions. Deciding which stock is in a better position compared to other stocks and deserves to be selected and placed in one's investment portfolio and how to allocate capital between these stocks, are complex issues. Theoretically, the issue of choosing a portfolio in the case of minimizing risk in the case of fixed returns can be solved by using mathematical formulas and through a quadratic equation; but in practice and in the real world, due to the large number of choices in capital markets, the mathematical approach used to solve this model, requires extensive calculations and planning. Considering that the behavior of the stock market does not follow a linear pattern, the common linear methods cannot be used and useful in describing this behavior. In this research, portfolio optimization using the gray wolf algorithm and the Markowitz model based on CO-GARCH modeling has been investigated. The statistical population of the current research included the information of 698 companies from the companies admitted to the Tehran Stock Exchange for the period of 2011 to 2020. First, the optimal investment model is presented based on the gray wolf algorithm, and After extracting the optimal model, the efficiency of the gray wolf algorithm is compared with the Markowitz model based on CO-GARCH modeling.

As we are looking for knowledge of stock future returns in portfolio optimization, we are practically faced with two principal concepts: Uncertainty and Information about variables. This paper attempts to introduce a pragmatic bi-objective investment model based on uncertainty, instead of probability space and information theory, instead of variance and other moments as a risk measure for portfolio optimization. Not only is uncertainty space expected to be more in line with investment theory, but also, applying and learning this approach seems more straightforward and practical for novice investors. The proposed model simultaneously maximizes the uncertain mean of stock returns and minimizes uncertain entropy as a measure of portfolio risk. The uncertain zigzag distribution has been used for variables to avoid the complexity of fitting distributions for data. This uncertain mean-entropy portfolio optimization (UMEPO) has been solved by three meta-heuristic methods of multi-objective optimization: NSGA-II, MOPS, and MOICA. Finally, it was observed that the optimal portfolio obtained from the proposed model has a higher return and a lower entropy as a risk measure compared to the same model in the probability space.