درخت حوزه‌های تخصصی

This research aims to rank the non-breakable factors influencing currency crises in Iran. It analyzes the influential variables using Bayesian averaging methods and seasonal data from 2001 to 2021. Unlike classical methods, Bayesian analysis incorporates uncertainty and prior information in model and parameter selection, providing a more accurate assessment of the significance and impact of each variable on currency crises. By integrating uncertainty into the model, Bayesian techniques enhance the precision of determining key influential variables. The findings indicate that among all the identified influencing variables, nine key variables play a significant role in exchange rate fluctuations. These variables include the export-to-output ratio, exchange rate gap from equilibrium rate, inflation, and the uncertainty index, which are crucial in determining exchange rate movements. Additionally, imbalanced liquidity growth and rising inflation exacerbate pressure on the exchange rate, increasing the likelihood of currency crises. Excessive liquidity expansion, coupled with inflationary pressures, leads to financial instability. This research not only identifies the primary determinants of currency crises but also underscores the necessity for economic policy reforms. The results from the Bayesian model show that variables consistently maintaining their impact despite other factors are recognized as "non-breakable." These non-breakable factors should be prioritized in economic policymaking to ensure financial stability. By considering these critical variables in policy decisions, economic authorities can adopt more effective strategies to prevent currency crises and mitigate adverse economic effects.

The current study used a qualitative methodology to examine how Iranian EFL learners practically applied Metacognitive Reading Strategies (MRs) when reading narrative and expository English texts. The study also investigated the participants' perceptions of the impact of text type on using MRs while reading narrative and expository English passages. The researchers selected 40 intermediate EFL learners studying TEFL at Islamic Azad University and Farhangyan University using purposive sampling as focused participants. The instruments employed included the Oxford Placement Test, semi-structured interviews, and think-aloud protocols. The data analysis involved theme-based analysis. The think-aloud protocol analysis indicated that participants employed multiple strategies when engaging with the expository text compared to the narrative text. The finding suggested that text types affected readers` overall performance. The semi-structured interviews revealed that learner's perceptions of text type played a vital role in reading different text types. The practical implications of the study were also discussed.

In today's competitive world, universities and organizations are successful that are able to make the most of information and knowledge. For this reason, many universities have started knowledge orientation through entrepreneurship education. The aim of the present study was to investigate scientific articles and researches in relation to entrepreneurship education model. To identify the elements of the native model of entrepreneurship education, a qualitative approach and content analysis method was used. Therefore, for this purpose, 50 articles developed by local and international authors were reviewed. Findings showed that entrepreneurship education model can be classified in three dimensions of capability-oriented, personality-oriented and lesson-oriented themes, which can be used to design a native model of entrepreneurship education in higher education.

The correlation between urban green space and sense of belonging has been investigated in researches; However, few scholars have mentioned the relationship between the designable physical components of vegetation and the sense of belonging. This study investigates a relationship between three physical parameters of green space - "visual density," "weighted height of vegetation," and "per capita ratio of green space to an open common area of the complex" - and a resident's sense of belonging through five subjective and objective independent variables - transparency," "proportion and scale," "physical and visual diversity," "flexibility" and "privacy and Enclosure " - in four residential complexes in the city of Qom - the center of Iran. Data were extracted from a survey study (n=320), documents, and written sources. it was analyzed using second-order confirmatory factor analysis and hierarchical linear regression. Based on the research literature review and identified gaps, a conceptual model was presented to explain the factors contributing to promoting a sense of place through greening in residents. In the results, a level of a perceived sense of belonging of the residents of the samples in the central courtyard was observed to be higher than in the scattered courtyard. Also, a positive correlation was observed between the psychological and physical components of the green space with the feeling of belonging to a place. The findings showed that among the psychological components, the "transparency," and among the physical components, the "Per-Capita Green Area" had the most positive effect on the resident's sense of belonging