Accurate yet transferable machine-learning interatomic potentials are essential for accelerating materials and chemical discovery. However, many existing universal models are overfitted to narrow chemical spaces or computational protocols, limiting t... read more
Salivary gland carcinomas (SGC) are rare and heterogeneous tumors with limited therapeutic options in advanced stages. Recent evidence suggests a potential role of the tumor immune microenvironment (TME) in disease progression. This study aimed to in... read more
Performance in table tennis is known to be affected by both mental and physical fatigue. However, accurately predicting a player's fatigue state remains challenging, particularly when using non-intrusive measurement protocols. This study proposes a m... read more
This study addresses the problem of simultaneous determination of metal cations and nitrate anions concentrations in multicomponent aqueous solutions. To solve this task, a photoluminescent nanosensor based on carbon dots synthesized by the hydrother... read more
This paper provides an experimental evaluation of two current transformers' (CTs') accuracy performance under linear and nonlinear load scenarios. Four performance indicators-measured RMS current, total harmonic distortion (THD), ratio error, and pha... read more
The identification of bipolar disorder (BD), a severe psychiatric condition characterized by recurrent mood fluctuations, remains challenging due to substantial inter-individual variability, symptom overlap with other mental disorders, and imbalanced... read more
Bladder cancer is one of the most prevalent malignancies of the urinary system and is associated with high morbidity and mortality. With advances in medical image analysis, deep learning has shown promise for automated bladder cancer classification u... read more
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