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ObjectiveCurrently, the insufficient full-element digitization and the prevalence of “data silos” in fully mechanized mining faces (FMMF) result in poor cutting precision and operational instability of shearers under...

English language acquisition in resource-constrained contexts presents unique challenges for learners worldwide. This study examines how Bangladeshi children aged 8–14 acquire English across rural and low-income urban ...

Abstract Background Digital teaching methods are established for imparting theoretical knowledge in the training of health professions. While digital formats are increasingly used in education, evidence on their capacity...

Aims: This study aims to determine the reliability, accuracy, and usability of a new health application that uses AI to estimate major coronal curve magnitude in patients with adolescent idiopathic scoliosis (AIS) from 3...

In this scoping review, we investigate music skill acquisition from an embodiment perspective. We conceptualize the acquisition of musical expertise, not only as a technical process but as a gradual incorporation process...

Power transformers are critical components of power systems, and their safe and reliable operation is essential for both industrial and residential applications. Real-time condition monitoring and early fault detection a...

Abstract Background This pilot randomized controlled trial evaluated the effectiveness of an artificial intelligence (AI)–assisted solo workflow for intraoral photography training. The study examined whether real‑tim...

Background: As athletes develop, their motor patterns evolve from variable to adaptive neuromuscular control strategies, enabling precise execution of complex movements. Traditional linear biomechanical analyses of wrest...

Abstract Intertidal macrobenthos are vital bioindicators of coastal ecosystem health due to their ecological roles, limited mobility, and sensitivity to environmental disturbances. However, traditional field‐based moni...

Under adverse weather conditions, ice accumulation and strong winds cause low-frequency and high-amplitude swaying of transmission lines, increasing the risk of wire fatigue, hardware damage, and tower collapse, posing a...

IntroductionVisual electrophysiology, including electroretinograms (ERG) and visual evoked potentials (VEP), provides a real-time functional assessment of retinal and post-retinal pathways, complementing structural imagi...

BackgroundBlended learning has gained momentum in Indian medical education and has the potential to improve access to knowledge and educational outcomes in underserved areas.ObjectiveThis review sought to identify curren...

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

As the global and Kenyan media industries rapidly transition to digital-first, multi-platform storytelling, Mass Communication students are increasingly required to possess advanced technical skills. However, a critical ...

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...

Background: Dribbling is a fundamental basketball skill essential for maintaining ball control and adapting to dynamic game situations. However, young athletes often demonstrate suboptimal dribbling performance, highligh...

Purpose. This research examines how the expansion of Indian Premier League Franchises into foreign leagues contributes to India’s global image and soft power influence in international cricket. Methodology. Using a mix...

ObjectiveTo explore the differences in heartbeat-evoked response (HER) under drug-related cues and neutral cues in individuals with heroin use disorder (HUD), and analyze the correlation between HER potentials and immedi...

Background: Despite growing environmental awareness, significant gaps persist between environmentally sustainable consumption intentions and behaviors. Most research examines barriers to environmentally sustainable consu...

The current study uses machine learning and explainable AI to predict Bedaquiline (BDQ) resistance in Mycobacterium tuberculosis clinical isolates and also predicts 15 new BDQ-resistant genes from whole-genome sequencing...

ObjectiveTo systematically map the evolution, academic network structure, and emergent research fronts of functional magnetic resonance imaging (fMRI) applications in prolonged disorders of consciousness (pDoC) through b...

ObjectivesThis study aims to characterize the oil-based mud (OBM) electrical imaging logging responses of carbonate strata, highlighting the response characteristics of dissolution vugs, fractures, stratigraphical struct...

Abstract Background: Marker-based training is a widely used type of positive reinforcement training believed to improve learning outcomes by providing a precise and consistent marker for desired behavior. However, resear...

Abstract Background Colorectal cancer (CRC) is frequently associated with metastasis, resulting in high mortality rates. Platelets are known to play a crucial role in the metastatic cascade influencing tumor microenviron...