Vibrio vulnificus poses a growing public health risk in the brackish Baltic Sea, where rising summer sea temperatures can create optimal conditions for this potentially lethal pathogen. V. vulnificus can cause severe infections through open wounds, a... read more
Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine
Feb 27, 2026
Indoor radon gas is a leading environmental cause of lung cancer, yet accurate risk assessment remains challenging due to the practical difficulties of direct measurement. This study introduces a novel Physics-Informed Neural Network (PINN) framework... read more
Algal blooms release substantial extracellular organic matter (EOM), challenging drinking water safety. Disinfection process inevitably transforms EOM, which is recognized as an important precursor of disinfection by-products (DBPs). However, the mol... read more
Real-time monitoring of knee flexion during sports is critical for injury prevention, yet precise measurement remains challenging due to large flexion amplitudes and complex velocity-frequency characteristics. To address this challenge, we propose a ... read more
Hydatidiform mole (HM) is driven by aberrant trophoblast proliferation, disrupting embryonic development and leading to pregnancy loss with increased risk of malignant progression. Despite its clinical significance, the cellular and molecular heterog... read more
OBJECTIVE: To develop and evaluate an internally validated natural language processing (NLP) model to determine guideline adherence of antibiotic decisions in the emergency department (ED) for skin and soft tissue infections (SSTIs). METHODS: This cr... read more
BACKGROUND & AIMS: The quality and market value of the medicinal herb Atractylodes lancea (AL) are critically dependent on its variety, geographical origin, and production mode. To combat adulteration and ensure efficacy, we developed a novel multi-p... read more
Neural networks : the official journal of the International Neural Network Society
Feb 27, 2026
Graph similarity learning aims to measure the similarity between graph pairs within a learning paradigm. It can effectively address the NP-hard challenges posed by traditional metrics, such as graph edit distance and maximum common subgraph. However,... read more
Neural networks : the official journal of the International Neural Network Society
Feb 27, 2026
Rapid urban expansion and growing traffic demand make accurate traffic forecasting increasingly important. However, methods that rely solely on absolute flow values often fail to explicitly capture upstream-triggered perturbations and their delayed d... read more
BACKGROUND: Immune-mediated necrotizing myopathy (IMNM) constitutes an autoimmune myopathy precipitated by autoantibodies, marked by rapid progression and recurrent exacerbations, with no approved curative therapies currently available. Genetic deter... read more
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