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Automatic movement recognition is often used to support various fields such as clinical, sports, and security. To date, there is a lack of a classification feature that is both interpretable and not movement-specific. Pr...

The aim of this study is the early detection of developing insulation defects in high-voltage oil-filled bushings based on the analysis of the temporal behavior of diagnostic indicators rather than only their comparison ...

Abstract GIS (Gas-insulated switchgear) is a critical component of modern power grids, and accurate awareness of its internal insulation condition is essential to power system safety. PD (Partial Discharge) is a key indi...

The rapid proliferation of unmanned aerial vehicles (UAVs) has created an urgent need for robust detection & identification systems to ensure airspace security and safety. However, the scarcity of large-scale, div...

Inborn errors of immunity (IEI) are increasing in number, and prompt recognition and diagnosis remain a challenge for clinicians. Use of machine learning (ML) for clinical pattern recognition is promising but has been li...

Abstract Background Antimicrobial resistance (AMR) represents a major global One Health challenge, with increasing recognition of the role of wildlife in the environmental circulation of resistant bacteria. Wild birds, p...

Net One of the biggest challenges in industrial robotics working in dynamic environments is reliably recognizing voice commands for human-robot interaction. This article presents a Hybrid Hidden Markov Model, Convolution...

Abstract Recognizing tactical formations is a critical task in professional football performance analytics. However, existing methods often fail to capture the dynamic and continuously evolving nature of modern tactical ...

IntroductionUnderstanding how children recognize facial emotions is essential for explaining the development of social communication. During the COVID-19 pandemic, widespread mask-wearing partially occluded facial expres...

Abstract The cyclic five-membered disulfide 1,2-dithiolane, known for its moderate reactivity and ease of preparation, holds significant promise as a recognition unit in probe design and drug development. However, potent...

IntroductionNeutrophils, the most abundant leukocyte population, play a central role in host defense against group B Streptococcus (GBS), an encapsulated bacterium that frequently causes severe infections in humans, incl...

The paper investigates Art Spiegelman’s Maus from a psychoanalytical perspective by drawing on the concepts of Thomas Ogden’s “analytic third” and Jessica Benjamin’s “intersubjectivity” to expose the traum...

High-voltage cable systems are critical components of power transmission networks, where partial discharge (PD) can cause insulation degradation and severe operational failures. Accurate detection and reliable identifica...

ABSTRACT Background and Aims Human metapneumovirus (hMPV) is a leading cause of acute respiratory tract infections, particularly in children, older adults, and individuals with immunocompromising conditions. Despite incr...

BackgroundFibrinous bronchitis, also known as plastic bronchitis, is a rare airway disorder characterized by branching bronchial casts that replicate the architecture of the bronchial tree. Adult cases are uncommon and f...

Partially clonal plants are common and often act as ecological foundation species. Patterns of clonal genotypes (genets) and their vegetative modules (ramets) in natural populations remain poorly documented. Knowledge ga...

Abstract Background Mental health workers (MHWs) face ongoing challenges, including heavy workloads, staff shortages, and pressure due to long patient waiting lists. These factors contribute to high levels of stress, aff...

Abstract Background Machine learning methods are widely used to detect behavioural data patterns. Although these new mathematical methods are useful tools, the interpretation of the results are often ambivalent unless ...