Standard type verification of three-phase smart meters is performed under idealized balanced test conditions that do not fully reproduce the current unbalance, single-phase loading and voltage deviations found on real distribution networks, so that a channel-specific calibration fault can pass undet...

Preventing pathogen transmission and treating pathogen-associated diseases remain major public-health challenges. Recent epidemics and pandemics, key amongst them being the pandemic caused by the coronavirus disease (COVID-19), have highlighted the devastating effects that viral infections can have...

Student mental health has become a core issue in university governance, yet existing support models remain insufficiently adaptive to the ecosystem of arts education, which is shaped by public performance, iterative critique, and identity exposure. This practice-oriented paper develops a counselor-l...

Cognitive-semantic communication encodes task-relevant meaning rather than raw bits, improving 6G spectral efficiency and reducing latency, yet evidence remains fragmented across methods, evaluations, and deployments. This PRISMA-based review screens 782 records (2019-2025) from seven databases, ret...

Digital connectivity in the aviation industry can foster an ``always-on'' culture, creating workplace telepressure, defined as the urge to respond to work-related messages immediately. Drawing on Conservation of Resources Theory, we examine whether job burnout mediates the association between workpl...

This study moves beyond average price effects to examine systematic heterogeneity in how consumers cognitively construct meaning from ambiguous prices in credence-based professional services. We propose a dual-anchor framework---comprising the External Normative Reference Anchor (ENRA) and the Inter...

Artificial intelligence (AI) investment, environmental, social, and governance (ESG) disclosure, and green supply chain collaboration increasingly operate as an interconnected corporate sustainability system, yet their relationships are commonly examined through static or approximately linear models...

Osteoarthritis of the knee (KOA) is one of the main causes of disability; hence, it requires precise and early evaluation of the severity level of the disease. In this paper, we propose a multimodal deep learning architecture based on a self-supervised Swin transformer combined with a cross-modal at...

Stiff systems of ordinary differential equations (ODEs) arise frequently in several areas of applied mathematics, science, and engineering, and their numerical integration requires methods with strong stability characteristics. In this paper, a block extended backward differentiation formula (BEBDF)...

Bus transport forms the most critical and widely used component of the public road transportation system in India. Bus stops are therefore the most critical nodes connecting passengers to this system. Using a deep learning-based object detection model, this research provides a detailed analysis of t...