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IntroductionWhile the hospitality industry faces growing pressure to improve environmental performance, the mechanisms and boundary conditions shaping these outcomes remain unclear. Drawing on the Natural Resource-Based ...

In recent years, large language models and agent systems based on them have been considered a promising tool for the digital transformation of public administration. However, the practical effectiveness of such systems i...

Abstract The importance of fear level detection in affective computing using physiological signals has not been extensively explored. Accurately detecting fear responses facilitates real-time emotional monitoring and imp...

Artificial Intelligence (AI) is transforming modern workplaces by offering opportunities to enhance employee well-being while simultaneously introducing significant challenges. Although scholarly interest in the intersec...

The rapidly evolving global marketplace demands a systematic understanding of the impact of cross-cultural competence on workforce effectiveness. This comprehensive bibliometric investigation examines intellectual struct...

Background: Recent years have witnessed a surge in the integration of digital intelligence within dental education, with various technologies increasingly supporting clinical skill training and educational applications. ...

Precision agriculture plays a crucial role in sustainable food production and resource-efficient land management. A key component of precision agriculture is the semantic segmentation of crops and weeds that enables auto...

The article analyzes current trends in the implementation of artificial intelligence (AI) technologies in manufacturing in the European Union. It is established that since 2018, the EU has evolved from the formation of b...

Abstract Emotional intelligence is widely used to refer to the capacity to perceive, assess, and manage one’s and others’ emotions to attain personal and collective goals. This study aims to identify current and emer...

Consolidating extensive pedagogical knowledge is essential in preservice teacher education as a foundation for developing future professional competences. While mobile learning has emerged as a promising approach for sup...

Reservoirs are critical infrastructure for global water, food, and energy security, yet their storage dynamics remain poorly characterized across most of the world. Accurate and timely knowledge of reservoir storage is e...

Background Artificial intelligence (AI) is playing an increasingly important role in diagnostic imaging, helping specialists improve the quality and speed of medical services. Despite the potential of AI, electroradiolog...

Abstract This research is concerned with the innovative use of AI in cross-cultural music learning, more particularly in the creation of a multimodal learning model that combines audio identification, image analysis, and...

Artificial intelligence, particularly large-language models, increasingly informs clinical decision-making, from triage to treatment recommendations. While promising efficiency and objectivity, these systems can encode a...

Kenya is rapidly adopting artificial intelligence (AI), and using it to spark new ideas, fuel creativity, and drive the economy forward. One can feel the country’s ambition to become Africa’s top AI destination. AI i...

Abstracts Alert fatigue remains a major barrier to the effective deployment of predictive models in emergency care, particularly in the context of rare but critical outcomes such as in-hospital mortality (IHM), which oft...

Abstract This article explores how collective attention can be both disrupted and enhanced by artificial intelligence. It examines how the rise of algorithmic recommendation systems, generative media, and large-scale lan...

Supply chains are increasingly vulnerable to disruptions such as geopolitical conflicts, natural disasters, and cyberattacks, with small and medium-sized enterprises (SMEs) in developing economies particularly affected d...

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...