درخت حوزه‌های تخصصی

Supply chain network design entails strategic decisions that critically shape the operational framework of a supply chain. The purpose of this study is to develop and optimize a green dental tourism supply chain network using metaheuristic algorithms. This applied research combines field surveys and library-based methods for data collection. Empirical data were obtained from dental clinics and three- and four-star hotels in Qom Province, forming the basis for model implementation. The proposed network integrates environmental considerations and seeks to minimize total supply chain cost. A multi-objective optimization model is formulated and solved using two algorithms: NRGA (Non‑dominated Ranked Genetic Algorithm) and NSGA‑II (Non‑dominated Sorting Genetic Algorithm II). The comparative analysis demonstrates that NSGA‑II achieves more efficient solutions and superior ranking of Pareto‑optimal fronts across the model’s multiple objectives. This study advances the design and optimization of sustainable dental tourism supply chains, providing practical insights for policymakers and industry stakeholders aiming to promote environmentally responsible and economically viable tourism services.

Online collaborative writing (OCW) is an essential pedagogical method in higher education, promoting learner interaction and shared responsibilities in academic writing tasks. While previous research has explored learners’ perceptions of OCW across various academic writing genres, there is a lack of investigation into how OCW impacts higher education students’ perceptions of their research article abstract writing performance. Utilizing an OCW perception questionnaire and semi-structured interviews, this study aimed to gauge the perceptions of 20 Iranian PhD TEFL candidates regarding an online collaborative academic writing course focused on writing research article abstracts. Quantitative and descriptive analysis of the questionnaire data and qualitative thematic analysis of the interview questions revealed that participants held positive views of technology-mediated writing instruction. However, they noted challenges faced, such as connectivity issues, software glitches, or time management. Besides, they offered recommendations, including exerting more rigid rules and defining more online assignments for the betterment of such online courses. The findings underscore the necessity of integrating technology-based writing instruction into teacher training programs to equip educators with essential skills for effective implementation. Besides, given the participants’ favorable looks towards interactive platforms like Google Docs, conducting joint research article writing programs can enhance the collaborative writing experience, ultimately leading to better academic outcomes for doctoral candidates.

The present study aims to explore Vietnamese English for Specific Purposes (ESP) teachers’ assessment strategies to support students’ preparation for industry demands in the hospitality sector. Using a qualitative design, it employed a two-staged data collection process comprising a narrative frame and semi-structured interviews with five experienced ESP teachers from a university in Vietnam. The data were analyzed drawing on an inductive approach to content analysis. The findings showed the teachers’ support for devising authentic assessment strategies based on available teaching materials and ESP resources to respond to industry requirements. They emphasized the need for more stringent collaboration between educational institutions and industry stakeholders to develop more relevant assessment strategies, and investment in dedicated learning resources to better prepare students for workplace communication. Additionally, the teachers advocated for specialized assessments that addressed the limitations of traditional language proficiency tests and aligned more closely with the linguistic and communicative demands of the hospitality industry. This study provides actionable recommendations for ESP teachers, program developers and course coordinators to design and deploy authentic assessment strategies that simulate real-life professional scenarios, consequently enhancing students’ employability.

Objective: The present study aimed to investigate the predictive model of marital relationship quality based on multi-screen addiction with the mediating role of maintenance-oriented relationship commitment in married individuals.Methods: The current research method was applied in terms of purpose, descriptive in data collection, and correlational based on the analysis process. The statistical population of the present study was the married teachers of Zanjan province in 2023, and 402 teachers participated in this research through convenience sampling. Data collection tools included the Relationship Quality Questionnaire (RQ) by Chonody et al. (2016), the maintenance-oriented relationship commitment Scale (MORC) by Schoebi et al. (2015), and the Multiple screen Addiction Scale (MSAS) by Saritepeci (2021). Data analysis was conducted using Pearson correlation tests, confirmatory and exploratory factor analyses, and structural equation modeling with SPSS 27 and AMOS 26 software.Results: The results revealed that all scales had appropriate reliability. According to the Pearson correlation matrix, there was a significant positive relationship between MORC and RQ (r=0.593, P<0.01), as well as between MSA and RQ (r=-0.237, P<0.01). Structural equation modeling also indicated a good fit of the research conceptual model with the data (RMSEA=0.074).Conclusion:It can be concluded that maintenance-oriented relationship commitment mediates the relationship between multi-screen addiction and marital relationship quality, suggesting that considering these factors in therapeutic interventions and marital enrichment programs can be beneficial.

Objective: The present study was conducted with the aim of designing and validating a pessimism questionnaire in married people.Methods: The research method was based on the applied objective and the mixed research method (qualitative-quantitative). The socio-statistics of the research were all professors and experts of clinical psychology and family counselors of Ardabil province in 2022. Among the statistical population, 15 people (11 men and 4 women) were selected based on the principle of opinion saturation as a statistical sample of the qualitative part, and 250 people (136 men and 114 women) were selected as a sample of the quantitative part as a non-random sampling available (easy access) became Interviews and researcher-made questionnaires were used to collect information. Thematic analysis was used with MAXQDA 2018 software to code the interview texts. Additionally, Cronbach's alpha method, construct validity (convergent and discriminant validity), and partial least squares (PLS) were used to analyze the data from the researcher-made questionnaire using SPSS and SmartPLS software.Results: The results indicated that the reliability and validity of the structure (convergence and divergence) were confirmed at an excellent level, and then the confirmatory factor analysis models were confirmed both in the mode of standard coefficients and the mode of absolute significance (p<0/05). Based on the results of this research, it is suggested that due to the innovation of this questionnaire, this questionnaire should be administered to couples before marriage in counseling centers and psychotherapy under the supervision of experienced professors with university experience and couples with pessimism problems before starting life.Conclusion: The joint should be examined and treated during effective protocols to prevent the problems caused by pessimism, which sometimes leads to the disintegration of the joint life if it is aggravated.