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Background: Wearable electrocardiography (ECG) devices such as smartwatches offer a novel means for detecting cardiac arrhythmias, particularly atrial fibrillation (AF), and ST-segment abnormalities. Their role in comple...

Abstract Emotion recognition is fundamental to building socially intelligent robotic systems capable of effective and adaptive Human-Robot Interaction (HRI) and Collaboration (HRC). This literature review synthesizes rec...

Multi-domain traffic engineering is a very challenging problem area and crankback signaling offers a very promising solutions framework herein. Although some initial crankback studies have been done, there is still signi...

Abstract Background Protein-protein interaction (PPI) network-based protein function prediction algorithms, which use the guilt-by-association principle, are widely applied in medical and human domains, but they are comp...

Background Technology-based gait rehabilitation after stroke is expanding, however the extent to which interventions embody person-centred care remains unclear. Aims The objective of this review is to explore the extent ...

Students' academic achievement is caused by several factors which include cognitive capability, study habits, instructor effectiveness, family support, socio-economic status, and access to modern learning technologies li...

BackgroundThe COVID-19 pandemic has reshaped the global epidemiology of respiratory infectious diseases, posing new challenges for influenza forecasting. Existing studies are often limited by reliance on single data sour...

ABSTRACT Objectives This scoping review aims to systematically explore the existing literature on golf‐related injuries in adolescent golfers aged 10–19 years, focusing on injury prevalence, management strategies, an...

Abstract Accurate prediction of compressive strength is important for the efficient design of sustainable concrete incorporating palm oil fuel ash (POFA). This study developed a hybrid artificial neural network model opt...

Abstract The growing importance of machine learning in geological data computing, as well as in the broader geoscience and energy sectors, makes it essential to evaluate the impact of data augmentation on model performan...

BackgroundExtended reality (XR) simulation offers repeatable, risk-free practice for ophthalmic training. We conducted a systematic review and meta-analysis to quantify its effects on training outcomes.MethodsWe searched...

Abstract This paper presents an effective way to support motion planning of legged mobile robots—Inverted Modelling, based on the equivalent metamorphic mechanism concept. The difference from the previous research is t...

In recent years, the advancement of artificial intelligence techniques has led to significant interest in reinforcement learning (RL) within the traffic and transportation community. Dynamic traffic control has emerged a...

ABSTRACT Background and Aim Cervical cancer is a major public health issue in Botswana, driven by high HIV prevalence and limited screening access. Molecular detection of high‐risk human papillomavirus (hrHPV) is cruci...

The training of medical residents requires educational strategies that foster the comprehensive development of clinical, communication, and professional competencies. In this context, 360-degree evaluations have emerged ...

Abstract Background Surgeons work in high-pressure, high-risk environments, which can lead to physical and mental health challenges. Physical activity (PA) has known benefits for health, stress reduction, and professiona...

This review aims to critically investigate the swelling behavior of natural fiber-reinforced composites (NFRCs), with a focus on identifying key mechanisms of moisture absorption, the influence of fiber–matrix interact...

Background and Aim: Cerebral ischemia is a major neurological condition that contributes significantly to global morbidity and mortality. It occurs due to reduced blood supply to the brain, leading to neuronal injury and...

Abstract Introduction Evoked compound action potentials (ECAPs) are neurophysiological biomarkers of neural activation during spinal cord stimulation (SCS). Clear distinction between ECAPs and nonphysiological signals is...

Abstract Background Chronic conditions cause millions of deaths annually worldwide. Remote patient monitoring using wearable devices and sensors, combined with machine learning (ML), offers promising strategies for disea...

BackgroundProstate cancer is the sixth most common cause of cancer-related death in males globally and is often identified as a secondary malignancy. Early detection and appropriate management increase the patient’s li...

This Campbell systematic review assesses the effects of psychosocial interventions for school refusal. The review summarizes the findings from eight studies. Medium quality evidence shows that cognitive‐behavioural the...

Autism spectrum disorder (ASD) is a neurodevelopmental disorder, which seriously affects children’s normal life. Screening potential autistic children before professional diagnose is helpful to early detection and earl...

This Campbell systematic review examines the effects of recovery schools on student behavioral and academic outcomes, compared to the effects of non‐recovery schools. The review summarizes evidence from one quasi‐exp...