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Abstract Collaborative filtering and neural recommendation models have advanced substantially over the past decade, yet they frequently struggle to capture the fine-grained structure of user preferences and the rich, mul...

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...

Tuberculosis (TB) vaccine design relies on the selection of optimal antigens. However, evidence on candidate antigens is scattered across the literature and rarely linked to critical vaccine parameters, such as immune re...

Anatomical education presents ongoing challenges in helping students master complex content while integrating it with clinical relevance. Neuroanatomy is particularly difficult due to its intricacy and abstract nature. T...

INTRODUCTION. The research was conducted in order to understand how the topic of science is integrated into the current media agenda of the Republic of Tatarstan. The dissemination of new knowledge and scientific achieve...

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-...

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...

Students in A-Level and IB, and similar high-school curricula are expected to understand nucleophilic substitution mechanisms (SN1 and SN2), yet many rely on memorization because curricula do not provide a conceptual bri...

BackgroundThe standardized training of general practitioners is a crucial component of post-graduation medical education and a strategic initiative in China’s healthcare workforce planning. This study aimed to evaluate...

Dairy farms increasingly deploy sensor networks that generate high-frequency behavioral and spatial data, yet translating these multimodal streams into actionable welfare insights remains a key challenge. This study pres...

In the context of pursuing quality education empirical evidence for Outcome-Based Education (OBE) in foundational mathematics is limited, particularly regarding the psychological mechanisms through which it affects learn...

Abstract The global challenge of effectively cultivating clinical thinking in medical students persists, often hindered by traditional textbooks that present knowledge in a linear sequence disconnected from the non-linea...

Abstract Background To evaluate whether performance-based sequencing of clinical placements improves learning outcomes compared with randomized sequencing in undergraduate physiotherapy education. Methods Undergraduate p...

Background: Speech-language pathology (SLP) students in South Africa often face persistent challenges in transferring theoretical learning to authentic clinical contexts. This theory–practice divide is compounded by l...

This paper proposes a reading of Fichte’s Outline of What is Distinctive of the Wissenschaftslehre with regard to the Theoretical Power as a response to Jacobi’s philosophy of belief, particularly as presented in his...

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...

الملخص: أهداف البحث: يُعدّ كلٌّ من التعلّم القائم على حلّ المشكلات والتعلّم القائم على العمل الجماعي استراتيجيتين تعليم...

IntroductionThis article investigates the linguistic and computational challenges of detecting antisemitism in digital communication, integrating discourse-analytical and artificial intelligence (AI) perspectives. It con...

Abstract Background Thoracic surgery involves complex diseases and critically ill patients, demanding doctors to integrate solid theoretical knowledge with practical skills. Clinical medical students, however, often stru...

The 1910 debate between Vladimir Ern and Semyon Frank marks one of the most conceptually charged moments in Russian philosophy’s confrontation with modernity’s crisis of reason. At stake is not a national or cultural...

Abstract Multimodal industrial documents–such as operation manuals, circuit diagrams, and parameter tables–contain domain knowledge distributed across text, images, and document layout. However, most existing retriev...

In implementing sustainable practices, small and medium-sized enterprises (SMEs) must adopt green technologies, but due to their limited resources, one possible strategy for accessing this type of technology is the forma...

In classical vernacular Chinese fiction, inferring affective stance in the presence of rhetorical devices often depends on implicit semantics and contextual cues, which poses substantial challenges for joint pragmatic mo...

Abstract Large language models (LLMs) like ChatGPT and DeepSeek are gaining attention for their potential in medical education. This study aims to evaluate the performance of ChatGPT and DeepSeek in the United States Med...