BACKGROUND: Regular assessment of exercise tolerance is essential for managing COPD, nevertheless, the standard 6-Minute Walk Test (6MWT) is difficult to perform outside clinical settings. This study aimed to develop and validate a smartphone-based d... read more
This study investigates the relations between teacher AI behavior management competence and the willingness of university students to communicate in English in AI mediated English as a foreign language classroom in China. Drawing on the Cognitive The... read more
Marine oil spills represent a significant environmental pollution incident that severely disrupts the balance and stability of marine ecosystems. SAR (Synthetic Aperture Radar) demonstrates significant potential in oil spill detection due to its all-... read more
Single-molecule fluorescence resonance energy transfer (smFRET) is a versatile technique for studying biomolecular dynamics and function by detecting nanoscale movements as fluorescence signals. Analysing such signals is a complex exercise, which has... read more
The computational growth and remodeling (G&R) of aortic aneurysms has been extensively investigated to better understand vascular disease progression and improve surgical intervention strategies. This study introduces a framework to simulate abdomina... read more
INTRODUCTION: Acne vulgaris is a prevalent dermatological disorder that affects millions worldwide, causing both physical discomfort and psychological burden. Conventional therapies often provide limited benefit due to poor skin permeability and tole... read more
AIM: This study aimed to investigate the relationship between pediatric nurses' levels of artificial intelligence literacy and artificial intelligence anxiety. METHODS: The study population consisted of 246 nurses working at children hospital within ... read more
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Apr 3, 2026
BACKGROUND: Surgical decisions for severe traumatic brain injury (TBI) are often made under prognostic uncertainty. Existing prognostic models predict overall outcomes but do not estimate how an individual's outcome might change with the decision to ... read more
This scoping review aimed to map the available evidence on deep learning (DL) models for predicting early-onset preeclampsia (EOPE), focusing on both clinical and imaging-based approaches. A comprehensive search of five databases identified 15 eligib... read more
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