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This study aimed to predict the adoption of artificial intelligence in higher education through various factors by means of multiple regression analysis. The participants consisted of 401 male and female students from fo...

Small sample sizes in preclinical research limit the extraction of reliable knowledge and hinder translational progress. We propose genESOM, a generative artificial intelligence method based on emergent self‑organizing...

Learners face numerous hurdles while acquiring a second language. The use of mobile applications and digital technologies in language learning enhances the language proficiency of the learners. The objective of the study...

Abstract Objective This study aims to evaluate student acceptance of a Smart Learning Platform (SLP) (based on the Chaoxing Learning System™) to deliver a cardiopulmonary physiotherapy curriculum. The SLP leverages AI-...

Background and Objectives: Given the increasing use of artificial intelligence (AI) tools for dental health information, this study compared patients' perceived health information literacy for AI chatbots, measured using...

Purpose – This study critically examines the rapid expansion of artificial intelligence (AI) in digital learning, with a specific focus on how these technologies intersect with metacognitive skills and digital literacy...

The agricultural sector contributes significantly to the economic development of nations worldwide. Owing to the population explosion, agriculture must address the complex challenges to meet the growing food demand while...

In recent years， quantitative microbial risk assessment （QMRA） for food safety has developed rapidly both domestically and internationally. QMRA integrates multidisciplinary theoretical knowledge and technical meth...

The purpose of the presented study is to develop a comprehensive research methodology for evaluating the readiness of young professionals in Latvia to work within AI-enhanced human resource (HR) environments. As artifici...

Effective from Volume 3, JIWE has transitioned to a triannual publication release effort. Specifically, releases occur each February, June, and October. This June 2025 release contains 28 papers within the regular sectio...

Orientation: This study explored how executive coaching can strengthen emotionally intelligent leadership behaviours and improve collaboration between senior and middle-level leaders in a South African engineering organ...

Abstract Generative artificial intelligence is increasingly used by higher education students during group work; however, evidence on how it reshapes collaboration remains fragmented. This scoping review maps recent rese...

The article explores the essence of intellectual capital in a post-industrial knowledge economy. Methodological identification of key concepts — intelligence, intellectual work, intellectual activity, intellectual prod...

Recommender systems have existed for decades, shaping how people consume digital content, receive information, and engage in day-to-day activities, among others. Undoubtably, recommender systems also play a crucial role ...

With the rise of generative AI, a new generation of intelligent phishing has emerged, where attackers leverage Large Language Models (LLMs) to craft websites with high semantic plausibility, posing critical challenges to...

The further promotion and application of new media technologies present new opportunities for psychiatric specialty hospitals in areas such as health education, doctor-patient communication, service extension, and brand ...

BackgroundDigital tools are reshaping public health education and training, yet evidence on whether large language models (LLMs) can generate specialist ophthalmic teaching materials remains limited. High myopia (HM), a ...

Introduction and aims: To evaluate the diagnostic and reasoning capabilities of 4 state-of-the-art large language models (LLMs) on the Korean Dental Licensing Examination (KDLE) and to assess their potential as education...

Maintaining a balanced diet is essential for overall well-being, yet many individuals face challenges in meal planning due to time constraints, limited nutritional knowledge, and difficulty aligning meals with personal d...

ABSTRACT To enable autonomous operations in complex industrial environments, this paper proposes retrieval‐augmented generation with large language models for robotic operations (RAGLRO), a robotic framework specifical...

Topicality of comparative study in Foreign Direct Investments (FDI) is determined by the need to deepen analysis of economic activity challenges and opportunities related to cross-border investments. Research in FDI tren...

Abstract Graph Neural Networks have emerged as a powerful paradigm for artificial intelligence driven drug discovery, offering molecular representation learning that surpasses many conventional approaches. Traditional ex...

Objective: ‘Values’ of Health Service Managers (HSMs) can be identified by a central organising concept of leadership, which is underpinned by emotional intelligence. Values, whether conscious or not, serve as guidi...

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...