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Large language models (LLMs) have gained significant prominence in language processing, demonstrating remarkable performance across a wide range of tasks. Recently, LLMs have been explored in various scientific fields be...

Car-following models (CFMs) are fundamental to traffic flow analysis and autonomous driving. Although calibrated physics-based and trained data-driven CFMs can replicate human driving behavior, their reliance on specific...

Generative Artificial Intelligence (GAI) is changing what can be done with Recommender Systems (RS) in e-commerce by allowing much more interactive, situationally aware, and highly tailored experiences for users. The pur...

This article explores student equity in higher education through the lens of academic language and learning (ALL) and argues that ALL remains a significant barrier to participation and success for students from equity ba...

This study investigates whether a culturally immersive pedagogy can measurably enhance advanced Arabic speaking proficiency among non-native learners within the CEFR framework. Using a quasi-experimental design at King S...

This research paper examines ChatGPT's methodologies for addressing the untranslatability challenges posed by verbified proper nouns in English-Arabic translation. The process of denominalization, whereby proper nouns ar...

Understanding how consumers behave in e-commerce is essential for businesses, especially in today’s digital world where people rely heavily on online shopping platforms. A key part of this understanding comes from sent...

Small businesses in Argentina, such as kiosks and microenterprises, often face challenges in managing inventory and responding to shifting customer preferences especially when certain products are unavailable. This study...