مطالب

This article studies the role of ‘selving’ and creative interpretation in literary translation. Specifically, it analyzes one of Basil Bunting’s successful translations of Obayd Zākānī’s Mush-o Gorbeh, a picturesque and catchy poem in rhyme and rhythm, laden with animal characters, which was considered to be both a masterpiece of children’s literature and a very important political satire. Bunting, a translator of Persian classical poems into English, had both political and poetic missions as a spy and an up-and-coming poet. This study turns to the theories of translation by Steiner, Benjamin, and Bassnett, among others, to show the challenges of translating Persian poetry. Through an in-depth analysis of this translated work in dialogue with Bunting’s other works, this manuscript shows how the two missions sometimes overlapped. Ultimately, however, it is argued that literary translation functions as an aesthetic ‘other’ place where the translator can act as a cultural double agent, working to the advantage of both cultures.

The circular economy offers a disruptive transition from the traditional linear economy through the lens of resource efficiency, waste reduction, and natural system restoration via closed-loop operations. This research presents evidence of the influence of environmental consciousness, perceived value, and moral disposition on the ethical buying intentions and behavior of European tourists in Tehran in the context of the circular business model (CBM). Furthermore, the role of individual characteristics in the interactions between them is determined. The study used an applied, descriptive-correlational design. Data collection was done through structured questionnaires, and data analysis was done via SPSS 26, AMOS 25, and PLS-SEM. The results show that awareness, value, and attitude significantly affect purchasing intent, and purchasing intent is a strong predictor of actual behavior. The study adds to the argument for sustainable tourism in the literature by recognizing the psychological aspects of ethical consumption in the context of the circular economy. To this end, it provides practical implications for tourism managers interested in designing and implementing more consumer-centric circular approaches. However, due to the use of a limited, local, and self-reported sample, the results should be interpreted with caution and generalizability should be considered.

Nowadays, due to increasing global environmental problems and challenges, the implementation of sustainable development concepts in various aspects related to university campuses has become critically important. In addition to their role in education and awareness, university campuses are considered small-scale cities that have significant direct and indirect effects on the environment due to their large size, multiple buildings, high population density, and complex activities. Moreover, the university, as a major educational institution, bears significant responsibility for planning and adopting effective strategies in implementing environmentally friendly programs, using renewable and sustainable resources, supporting clean energy, and preserving the environment. As awareness grows regarding the environmental impact of universities, they are expected to promote a development model that aligns with environmental safety, biodiversity, ecological balance, and intergenerational equity. The purpose of this research is to enhance the sustainability level of university campuses with an emphasis on environmental values. This study is both qualitative and quantitative, with the Central Campus of Shahrood University of Technology selected as the case study. It is a descriptive-survey in terms of nature and methodology and applied in terms of purpose. Data collection was carried out through both documentary (library) and case study methods. The theoretical framework and background information were gathered via a documentary approach, using scientific and research articles, books, and other credible domestic and international sources. In the case study phase, data were collected through questionnaires, interviews, and observations. The collected data were analyzed using SPSS 28 and AMOS 24 software. The results showed that most indicators of environmental sustainability on the central campus—including energy conservation, sustainable materials, waste separation and recycling, rainwater collection and storage, smart energy and water equipment, building greenness, bicycle use, water features, utilization of natural energy, waste reuse, and clean fuels—are currently in an unfavorable condition. Improving these indicators, based on the data analysis, can significantly enhance the environmental sustainability of the university campus. Accordingly, several solutions are proposed to develop sustainability in university campuses grounded in environmental values.      

Le présent article se penche sur l’étude descriptive et analytique des noms composés dans une approche contrastive (français-persan et vice versa). Un corpus thématique dans le domaine de « faune et flore » a rassemblé ces noms en deux langues dont les exemples sont présentés dans les tableaux, parallèlement à leurs équivalents dans l’autre langue. Pour être plus systématiques, nous avons fait une taxinomie de cette thématique qui se répartit en quatre groupes « fruits et légumes », « arbres et fleurs », « plantes aromatiques et médicinales » et « animaux ». Les structures grammatico-syntaxiques ainsi que la situation de leur noyau sémantique, à savoir indocentrique et exocentrique, sont passées au crible. Selon les résultats de notre recherche, cette catégorie de nom partage plus ou moins les mêmes structures et traits caractéristiques dans les deux langues étudiées, sans oublier quelques points importants et intéressants qui les distinguent d’une langue à l’autre, notamment sur le plan orthographique.  

This study aimed to investigate the impact of sensory processing sensitivity on emotional dysregulation in gifted students, examining the mediating role of anxiety sensitivity in this relationship. The research employed a descriptive correlational design, involving a sample of 390 gifted secondary school students from Isfahan city, selected based on Morgan and Krejcie’s sampling table. Participants completed three validated Likert-based instruments: the Highly Sensitive Person Scale (HSPS), the Anxiety Sensitivity Index-3 (ASI-3), and the Difficulties in Emotion Regulation Scale (DERS). Data analysis was conducted using SPSS-27 for descriptive statistics and Pearson correlation analysis, and AMOS-21 for structural equation modeling (SEM) to assess direct, indirect, and total effects among the variables. Model fit was evaluated using standard indices including RMSEA, CFI, TLI, and GFI. Pearson correlation coefficients indicated significant positive relationships between sensory processing sensitivity, anxiety sensitivity, and emotional dysregulation (r = .56 to .67, p < .001). The SEM results showed that sensory processing sensitivity had a significant direct effect on emotional dysregulation (β = .42, p < .001), and on anxiety sensitivity (β = .56, p < .001). Anxiety sensitivity also directly predicted emotional dysregulation (β = .49, p < .001). Importantly, anxiety sensitivity partially mediated the relationship between sensory processing sensitivity and emotional dysregulation, with a significant indirect effect (β = .28, p < .001). The model demonstrated excellent fit indices (CFI = .96, RMSEA = .052, χ²/df = 2.07). The findings underscore the importance of recognizing and addressing anxiety sensitivity as a key psychological mechanism linking sensory traits and emotional dysregulation in gifted youth. Interventions that integrate emotional regulation and sensitivity awareness may enhance educational and psychological outcomes for this population.

Neurotransmitters are the chemical messengers nerve cells use to transmit signals to target cells. Neurotransmitters affect the behavioral aspects of investors' performance. Therefore, this study investigated neurotransmitters' effect on individual investors' behavior by using structural equation modeling. To achieve this goal, exploratory and confirmatory factor analysis has been used. The study is applied research and utilizes a survey methodology. The required data were collected through the distribution of questionnaires among 315 individual investors. This study was done in the Tehran stock exchange's second and third seasons of 2023. According to the research, neurotransmitters through eight components of adrenaline or epinephrine, noradrenaline or norepinephrine, dopamine, serotonin, GABA (gamma-aminobutyric add), acetylcholine, glutamate, and endorphins affect the behavior of individual investors. Based on the second-order confirmatory factor analysis, the GABA component (0.39) has the highest impact, and adrenaline or epinephrine (0.25) has the least effect on the behavior of individual investors. The findings indicate the necessity of redefining rationality and considering its effects on investors' decisions and behavior.

Subject and purpose: The intelligent sales management system in Metaverse is the concept of performing sales operations, using smart contracts, machine learning, intelligent process automation and direct monitoring of all network members in Metaverse.The aim of the current research is to provide a model of intelligent sales management system in Metavers. Methodology: In the qualitative research, the statistical population includes experts in the fields of business management and information management, and the sample size was calculated and carried out according to the theoretical saturation point of 14 people using the snowball sampling method. Data collection was done through semi-structured interviews with experts and analysis. Data were collected using open, central and selective coding method. Findings:The findings obtained in the qualitative research showed 112 codes, 29 concepts and 9 categories, which led to the presentation of an intelligent sales management system model in Metaverse. Conclusion:This research led to the presentation of a new model of intelligent sales management system. Keywords: Intelligent management system, Metaverse, Foundation data.

This quasi-experimental research investigated the comparative effects of gamified versus non-gamified flipped classrooms on the grammar proficiency of Iranian English as a Foreign Language (EFL) learners, with a focus on the acquisition of past tenses. Sixty intermediate-level EFL learners (aged 12–15) were selected non-randomly from a pool of 90 students based on their scores on the Cambridge Preliminary English Test. The participants were randomly assigned into two experimental groups: one experienced a gamified flipped classroom and the other a non-gamified flipped classroom. Both groups received instruction on English past tenses through pre-class videos and in-class activities over 12 sessions. The gamified group used game-based platforms, while the non-gamified group followed traditional methods. Grammar pre-test and post-test were administered to assess learning outcomes. Analysis using one-way ANCOVA revealed that gamified flipped classroom group significantly outperformed the non-gamified group in acquiring English past tenses. The findings suggest that integrating gamification into flipped classroom models can significantly enhance acquisition of past tenses among EFL students. These results hold implications for EFL educators, curriculum designers, and policymakers seeking to adopt engaging and effective instructional strategies.

Purpose: The primary objective of this research was to integrate ChatGPT, an advanced artificial intelligence language model, into distance science education. By addressing the specific challenges inherent in online learning environments, this study aims to investigate how technological advancements, such as ChatGPT, can effectively enhance the management and overall quality of distance education experiences. Method: This qualitative, exploratory study aimed to provide a comprehensive understanding of the potential applications of ChatGPT in distance science education. This study identifies the various interactions that can occur in distance education and describes and evaluates the input and output instructions associated with each interaction. The chat bot used is https://chatbot.theb.ai and A biology tutoring platform uses ChatGPT to provide personalized support to students working on biology issues or concepts. Findings: Based on the results, the artificial intelligence can play an important role in improving distance science education. Furthermore, this study highlights the importance of developing metacognitive skills among learners and encourages educators to seek professional development opportunities to enhance the quality and engagement of distance science education. This study emphasizes the need for careful planning, research, design, evaluation, management, and responsible application of AI technology in distance education. Conclusion: This study was concluded that ChatGPT could be very useful for both learners and educators in distance education. This research showcases the innovative results facilitated by ChatGPT and provides valuable insights and practical guidance for educators, researchers, and policy makers on the effective use of AI technologies in distance science education.

Purpose: The purpose of the current research is to extract the components and dimensions of digital transformation and determine the levels and sequence of dimensions in Iran's education and upbringing, for the planning and implementation roadmap.Method: This research has a mixed approach (qualitative-quantitative). The qualitative section was able to extract the components of digital transformation by searching for authentic Persian and English articles published in the last ten years. With the help of seven experts, the digital transformation components were classified into eight dimensions in the form of 109 identified sub-components using the ISM method. Dimension levels were determined by SSIM matrix calculations in the quantitative part. MICMAC software version 5.3.0 was used to calculate the impact of relationships.Findings: Based on the opinion of experts and the results of ISM calculations, the identified dimensions including: institutional, education, technology, infrastructural, social, cultural and economic were placed in four levels.Conclusion: According to experts, the institutional dimension, being placed at the fourth level, has the greatest impact on digital transformation in Iran's education. Therefore, it is one of the key dimensions to achieve digital educational transformation that is placed at the first level of the model. According to the results of ISM, the economic and cultural dimensions were placed at the third level. Also, in analyzing the impact of relationships between dimensions using MICMAC software, the results indicate that the institutional dimension has a significant impact on infrastructure development.