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Abstract Background High-fidelity simulation is a cornerstone of emergency medicine (EM) education and is used by a majority of EM clerkships. Traditional high-fidelity simulation involves learners working through a pred...

Abstract Background Deep learning faces a significant bottleneck in medical image analysis due to its reliance on large-scale, expert-annotated datasets. This challenge is acute in ophthalmology, particularly for detecti...

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...

Este trabalho analisa a correlação entre o que adolescentes pensam sobre si mesmos e as projeções idealizadas de futuro, tendo como hipótese a manifestação da solidariedade relacionada à construção de um projet...

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 Concerns that AI tools may erode diagnostic reasoning contrast with claims that AI can foster higher-order thinking. This longitudinal study followed 372 medical students across 12 months of supervised rotations...

IntroductionWe address moral uncertainty in reinforcement learning (RL) by proposing a framework that integrates multiple ethical theories into decision-making. Existing approaches rely on single moral frameworks or hand...

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...

This article responds to Glenn Parsons’ threefold objections against engagement aesthetics, demonstrating that Parsons’ critiques are rooted in a limited reading of its philosophical foundations. While Parsons focuse...

The provision of accurate and explainable captions and answers to visual questions about remote sensing images is essential in areas such as disaster management, land-use supervision, and military analysis, where system ...

Abstract Wearable sensor–based human activity recognition (HAR) is central to smart sport and health-monitoring applications, yet existing deep learning models often rely on ad hoc multimodal fusion and offer limited i...

We present a strategy for collaborative reasoning and automatic knowledge sharing in which multiple agents discuss about some piece of information until they reach an agreement. A structured argumentation system (DeLP) i...

Novel innovations in large language models (LLMs) have demonstrated their ability to generate and analyze literary texts. As a result of intricate semantic layers, metaphors, polyphony, and nonlinear narrative structures...

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...

IntroductionThe complex interplay between environmental dynamics, biodiversity loss, and public health necessitates advanced methodologies for quantifying and interpreting their interactions. Respiratory health, highly s...

I develop a strategy for representing epistemic states and epistemic changes that seeks to be sensitive to the difference between voluntary and involuntary aspects of our epistemic life, as well as to the role of pragmat...

Abstract Reliable interpretation of clinical imaging requires integrating complementary evidence across modalities, yet most AI systems remain limited by single-modality analysis and poor generalization across institutio...

Abstract Counterfactuals have become an important area of interdisciplinary interest, especially in logic, philosophy of language, epistemology, metaphysics, psychology, decision theory, and even artificial intelligence....

En el ámbito educativo las pruebas de inteligencia son consideradas una de las mejores predictoras del rendimiento académico de los estudiantes. El propósito de este estudio es la adaptación de un grupo de reactivos ...

This qualitative study examined EFL students’ perceptions of ChatGPT during a short, structured implementation in an undergraduate English Phonetics course. The focus was conceptual understanding and engagement rather ...

The process of thinking in formulating a mathematical model requires cognitive processes. In learning mathematics, one of the factors that influence mathematics ability is gender differences.  This research explores and...

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...

This study aims to analyze the transformation of Islamic law in response to the growing influence of digital behaviorism within modern Muslim communities, particularly through behavioral patterns observed on social media...