Volume & Issue: Volume 1, Issue 2, February 2025 
Number of Articles: 4

Teacher Training and Professional Development: Key Factors for Improving the Quality of Foreign Language Learning

Pages 54-70

https://doi.org/10.5281/zenodo.15510061

Esmaeel Farnoud

Abstract Abstract

The effectiveness of teaching foreign languages, such as French and English, greatly depends on the quality of teacher training and ongoing professional development. This study investigates the critical factors influencing the improvement of foreign language learning outcomes through enhanced teacher capabilities. Emphasizing the importance of specialized training programs, the research explores how continuous professional development, innovative pedagogical strategies, and cultural competence contribute to better language instruction. The findings highlight that well-designed training initiatives equip teachers with modern teaching methodologies, improve their communicative and intercultural skills, and ultimately lead to higher student achievement in foreign language classes. By focusing on the development of teachers' skills and knowledge, educational institutions can significantly elevate the quality of foreign language learning, making language classrooms more engaging and effective for students learning languages like French and English. This study underscores the vital role of professional development in fostering competent language teachers and improving classroom learning experiences.

Human-Centered Supply Chain Management

Pages 71-89

https://doi.org/10.5281/zenodo.15510450

Rezvan Hanif

Abstract In this study, human-centered supply chain management has been examined. Supply chain management simplifies activities related to the supply of goods, increases customer satisfaction and is considered a competitive advantage for a business. In simple terms, supply chain management is a network of people, businesses, resources, technology and specialized knowledge that work together in a coherent manner to produce, distribute and sell products. The supply chain structure usually begins with the producers of raw materials and ends with the supply of the final product to customers by various retailers. Each implementation of the supply chain entails costs for a business. Therefore, it is natural that an optimal supply chain reduces waste of resources and additional costs. The supply chain begins to work when the manufacturer receives the order from the customer. Therefore, its basic functions include product development, marketing, sales, operations, distribution networks, finance and customer service. The entities involved in the supply chain include manufacturers, sellers, warehouses, transportation companies, distribution centers, and retailers. The goal of supply chain management is to improve the efficiency of the supply chain process so that the right product reaches the customer on time and at the lowest cost. Shafiee et al. (2009) have stated the factors driving organizations towards supply chain management as follows: The need for improvement activities, increasing levels of outsourcing, supply chain complexity, the importance of global trade, increasing globalization, competitive pressures, increasing transportation costs, and the need for inventory management.

Neuromorphic computing in Next Gen IT systems

Pages 90-102

https://doi.org/10.5281/zenodo.15510929

Hamid Reza Hanif

Abstract Neuromorphic is by no means a new concept. Like many other emerging technologies that are now gaining momentum, neuromorphic has been quietly developing for a long time, but it still needs more work to shine. Neuromorphic systems attempt to mimic the functioning of the human nervous system. This branch of engineering attempts to mimic the biological structure of sensory and information-processing neural systems. In other words, neuromorphic computing implements various aspects of neurobiological networks in the form of analog and digital signals in electronic circuits. Neuromorphic computing has its roots in computational systems that were developed in the late 1980s and were designed to model the functioning of animal nervous systems. Since then, neuromorphic computing has gained momentum, to the point where some of the biggest names in technology have produced neuromorphic hardware. For example, IBM’s TrueNorth chip, Intel’s Loihi chip, and the Pohoiki Beach neuromorphic system are currently in production. Neuromorphics can do all of this without consuming a lot of energy, rather than leaving AI tasks to energy-hungry and cooling-intensive cloud systems. For neuromorphics to have a significant impact, there will need to be a lot of changes in the technology world. For example, sensor technologies are not designed to work well with neuromorphic systems and need to be redesigned to extract data in a way that can be processed by neuromorphic chips.

The Relationship Between Self-Efficacy and Mental Health and Marital Satisfaction in Middle-Aged Adults: The Mediating Role of Perceived Social Support

Pages 103-116

https://doi.org/10.5281/zenodo.15550794

Maryam Dashti

Abstract Middle-aged adults face unique challenges—empty nest syndrome, retirement, and physical health decline—that underscore the importance of self-efficacy in fostering psychological resilience and relational well-being. This study examines the relationship between self-efficacy, psychological distress (anxiety and depression), and marital satisfaction in middle-aged adults, with perceived social support as a mediator. Grounded in Bandura’s self-efficacy theory, which posits that social resources amplify self-beliefs’ effects, this cross-sectional study involved 350 married adults aged 40–60 in Tehran, Iran. Participants completed the General Self-Efficacy Scale (GSE), Depression Anxiety Stress Scales (DASS-21), ENRICH Marital Satisfaction Scale, and Multidimensional Scale of Perceived Social Support (MSPSS). Structural equation modeling (SEM) with bootstrapped confidence intervals tested the mediation model. Results showed strong associations between self-efficacy and psychological distress (β = -0.60, p < .001) and marital satisfaction (β = 0.56, p < .001). Perceived social support fully mediated the self-efficacy–psychological distress relationship (β = -0.32, p < .01) and partially mediated the self-efficacy–marital satisfaction link (β = 0.27, p < .01). Self-efficacy thus enhances perceived social support, buffering psychological distress and strengthening marital bonds. As one of the few studies in a collectivist culture, this research highlights how cultural emphasis on social bonds shapes psychological and relational outcomes. Findings advocate for couple-based psychoeducational workshops, delivered by clinicians, to promote self-efficacy and social support, enhancing psychological and marital well-being in midlife.