SinoXivAdverse pregnancy outcomes (APOs), including preeclampsia, preterm birth, and maternal heart failure, pose substantial risks for women with pre-existing heart disease. Soluble ST2 (sST2), a biomarker ...
Antiferromagnets are emerging as a transformative platform for next-generation spintronics and information storage technologies, promising improved speed and energy efficiency. However, unlike in ferr...
Acute stroke lesions evolve rapidly, making it essential to model both temporal progression signals and anatomical constraints. DME-Net incorporates complementary temporal and spatial memory banks tha...
Biogenic volatile organic compounds (BVOCs) are important molecules that may act as indicators for aquatic ecosystem health, functioning and composition. However, aquatic BVOC sampling methods are cur...
Background: Timely detection of localised COVID-19 surges is essential for targeting limited health resources, yet most routine surveillance algorithms ignore spatial dependence and many Bayesian spat...
Help-seeking is a central self-regulated learning (SRL) process; however, generic scaffolds often misalign with learners’ heterogeneous needs. This systematic review addresses the lack of consolidated...
The rapid diffusion of generative artificial intelligence (AI) in higher education has reshaped academic practices, yet its implications for transparency, authorship, and academic performance remain i...
Phishing website detection often relies solely on lexical or HTML features, which makes classifiers fragile against obfuscated URLs and template-based page cloning. This study develops a multi-modal d...
In the last decades, energy-based models (EBMs) have become an important class of probabilistic models in which a component of the likelihood is intractable and therefore cannot be evaluated explicitl...
In recent years, automatic text summarization has witnessed significantadvancement, particularly with the development of transformer-based models.However, the challenge of controlling the readability ...
