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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...

Learners face numerous hurdles while acquiring a second language. The use of mobile applications and digital technologies in language learning enhances the language proficiency of the learners. The objective of the study...

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 ...

As cities experience the digital transformation of the information era, informed decision-making becomes a first-hand necessity. Urban Digital Twins (UDTs), as the natural evolution of the smart city, are digital replica...

The NASA-ISRO Synthetic Aperture Radar (NISAR) mission will advance global soil moisture monitoring through high-resolution L-band observations. However, accurate fine-scale retrieval remains challenging due to the 12-da...

Falls among older adults pose a major healthcare and social burden, making early identification of high-risk individuals essential for prevention. This study presents a portable, non-invasive AI-based wearable system tha...

Abstract Bronchopulmonary dysplasia (BPD) is a common complication among preterm neonates, with portable X-ray imaging serving as the standard diagnostic modality in neonatal intensive care units (NICUs). However, lung m...

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...

Abstract In previous work, we introduced an ‘invisible’ ECG system with electrodes integrated into a toilet seat, capturing signals from the thighs. Here, we present the tOLIet dataset with single-lead thigh ECGs to ...

Abstract This study presents an integrated low-cost IoT-based evaluation framework assessment of photovoltaic (PV) modules enhanced using low-cost planar reflectors, supported by a custom IoT-based data logging system fo...

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...

The analysis and modeling of educational data are of great significance to the evaluation of teaching quality and personalized learning guidance. However, the acquisition of academic data is often limited by the costs of...

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...

Electronic dictionaries are important tools for enhancing vocabulary among foreign language learners. This research investigates Turkish EFL preparatory students' perspectives on the advantages and disadvantages of using...

Abstract Metabolic dysfunction-Associated Steatotic Liver Disease (MASLD) affects 30–50% of obese children, yet accurate non-invasive quantification remains challenging. While magnetic resonance imaging-proton density ...

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...

Abstract With the increasing performance requirements for data acquisition in applications such as the Internet of things and artificial intelligence, analog-to-digital converters (ADCs) face stringent trade-offs among s...

Abstract Triplicate electrocardiograms (ECGs) are routinely included in clinical trials where concern of agent-induced electrophysiological alterations arise. Three electrocardiograms (triplicate ECGs) are obtained over ...

Clinical research and real-world observational studies are essential for advancing the diagnosis and treatment of rare diseases, such as inborn errors of immunity/primary immune disorders (IEI/PID). To support efficient ...

With the constant advancement of the smart grid, zero-day attack processes in Advanced Metering Infrastructure (AMI) and Supervisory Control and Data Acquisition (SCADA) networks are also continually evolving. This study...

Fault Detection and Diagnosis (FDD) is crucial for ensuring safe, reliable, and energy-efficient operation of collaborative robots, especially with the growth of Industry 4.0. Industrial robots are nonlinear, complex, an...

Abstract This study seeks to address persistent challenges in traditional music education, particularly the subjectivity inherent in assessment criteria and the frequent delays in feedback, by harnessing the capabilities...

Soilless cultivation systems such as hydroponics rely on continuous and accurate monitoring of physicochemical parameters to maintain optimal plant growth conditions. In practice, however, hydroponic operations are const...

Abstract Artificial intelligence (AI) has transformed social media into a powerful tool for educational learning engagements. WeChat, a Chinese social media platform, is extensively used by students for academic learning...