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Artificial intelligence technology has become an influential and trending topic in architectural layout design. The core technology of AI, machine learning, has attracted the attention of architects as a decision-making tool. The focus of many studies that apply machine learning to layout design is using the generative adversarial network (GAN within a given boundary. Previous research demonstrates that training a GAN with labels can help a computer understand how spatial elements relate and the logical relationship between spatial elements and boundaries. However, this paper applied conditional GAN to generate space layouts with given boundaries and supplementary conditions. The supplementary conditions provide designers control over the generated layout plans by satisfying input boundary and user requirements. It also allows designers to generate different layout plans within the same boundary. To achieve this, a method for dividing image channels is proposed so that both given boundaries and supplementary conditions become the model's input. The dataset consists of 660 apartment plans in Hamadan. The dataset is split into a training set and a test set. The training set includes 594 images, and the test set includes 66 (10%) of the images. After training the model with the training set, the model is tested using the test set. Finally, the model outputs are evaluated based on quantitative and qualitative methods. The results show that the supplementary conditions provide further guidance to the model for space layout generation based on user preferences and reduce the image quality problems of the synthetic images.

Seyyed Mohammad Hossein Ṭabaṭabaʾi (1281-1360 A.H./ 1904-1981 A.D.) is a contemporary Shiite commentator and mystic whose mystical approach could be clearly seen in his inclusive interpretation of the plurality of religions. Ṭabaṭabaʾi believes that the Qur'an seeks to unify religions and defines common criteria such as faith in God and righteous deeds for salvation. Ṭabaṭabaʾi's interpretation of the plurality of religions, based on the Qur'an and mysticism, is that religions have a single essence that exists in all of them in different degrees. This single essence consists of believing in the truth, surrendering to the truth, and acting upon the truth, which will lead to salvation in the hereafter. One of the most important principles of dialogue is recognizing the “other”, respecting them, and acknowledging their benefit from the truth. Ṭabaṭabaʾi's interpretation of the unity of religions can provide these foundations and, based on them, help the followers of religions sit at the table and provide a suitable platform for interacting with one another, understanding each other and their coexistence.

Objective: The present study aimed to investigate the structural model of loneliness and marital commitment with an attitude toward extra-marital relationships, with the mediation of identity styles in married women and men. Methods: For the research design, we used correlation and structural equation modeling. Statistical population including all married women and men of Ramsar City, among whom 230 individuals were selected through convenience sampling and responded to the Loneliness Scale Russell et al., (1980), Marital Commitment Questionnaire Adams & Jones (1997), Extra-marital Relationships Attitudes Questionnaire Wheatley's, (2008), and Identity Styles Scale Berzonsky (1989). All data were analyzed using SPSS 26, AMOS 24, and Macro Preacher & Hayes' (2008) program. Results: The findings indicated that loneliness and diffuse-avoidant identity styles have a significant and positive effect on the attitude toward extra-marital relationships, while marital commitment and commitment identity style have a significant and negative effect on the attitude toward extra-marital relationships. Bootstrapping results showed that information identity style, diffuse-avoidant identity styles, and commitment identity style play a mediating role in the relationships between loneliness and the attitude toward extra-marital relationships. Marital commitment indirectly affects the attitude toward extra-marital relationships through information identity style and commitment identity style. Conclusion: The research findings, by confirming the influential role of loneliness, marital commitment, and identity styles on extra-marital relationships, provide appropriate implications for work in the field of extra-marital relationships for practitioners in the family domain.

Purpose: The main objective of this research is to adapt appropriate models from Japan, Canada, and Australia, aligned with the culture and education system of Iran, for developing students in the teacher education programs in Iran. Methods: The research approach is mixed-methods (qualitative-quantitative), with an applied purpose, utilizing George Brady's deductive research model. Data analysis was conducted using confirmatory factor analysis (CFA) through the Smart PLS software. This study employs the four stages of description, interpretation, proximity, and comparison in George Brady's model to examine and compare the main elements of the curriculum (objectives, content, teaching-learning strategies, materials and resources [human and equipment], teaching-learning opportunities, learning environment conditions, and evaluation) in the selected countries to improve Iran's curriculum. Subsequently, after achieving a consensus score, a framework for the curriculum was proposed. Findings: The most important findings indicate that improving the quality of the teacher education system is the main goal, and lifelong learning is the specific objective of this system in the studied countries. Additionally, based on the strategic model for Iran's teacher education system, and considering the performance of leading countries and the findings from interviews using the Delphi method and model fitting, it can be concluded that teaching-learning opportunities, with a factor loading of 4.578, had the greatest influence on the curriculum, while content, with a facto

Purpose: This study aimed to examine the role of intellectual capital in the management of talents among gifted secondary school students. Methods and Materials: A mixed-methods approach was used, combining qualitative and quantitative data collection. The quantitative component involved a binomial test to assess teachers' perceptions of intellectual capital in their schools, with a sample of 108 teachers from gifted secondary schools. The qualitative component consisted of interviews with 16 teachers, principals, and experts to explore their views on the factors influencing talent management. The data were analyzed using MAXQDA software for coding and SPSS for statistical analysis. Findings: The results showed that intellectual capital, particularly human capital, plays a significant role in the management of gifted student talents. Over 90% of the teachers rated intellectual capital and its components (human, structural, and relational) as being above average in their schools. The qualitative analysis identified four key factors influencing talent management: structural, school-related, individual and personality-related, and environmental factors. These findings highlight the importance of investing in intellectual capital to optimize talent management in educational institutions. Conclusion: The study concludes that intellectual capital is a critical determinant of successful talent management in schools. Schools with high levels of human, structural, and relational capital are better equipped to identify and nurture gifted students. Strengthening intellectual capital through teacher training, organizational support, and community engagement is essential for enhancing the effectiveness of talent management strategies. K