Background Artificial intelligence (AI), particularly large language models (LLMs), has emerged as a promising tool in healthcare, with potential applications in clinical decision support and dental e...
Underwater acoustic communications are limited by low information capacity and data rate[1]. While orbital-angular-momentum (OAM) multiplexing can address these issues[2], conventional OAM beams scale...
The X-ray repair cross-complementing protein 1 (XRCC1) is a central scaffold protein involved in DNA single-strand break repair (SSBR), coordinating the assembly of multi-protein repair complexes. Its...
Clustering is widely used to discover interpretable structure in data, but conventional unsupervised methods group examples by \emph{feature similarity} alone, ignoring any available prediction tar...
Photonic integrated circuits (PICs) are rapidly evolving toward extreme miniaturization, multi-wavelength operation, and multifunctional integration. Driven by breakthroughs in GPU-accelerated computa...
The crab-eating macaque (Macaca fascicularis), a key biomedical model, exhibits substantial inter-individual variability. However, its genomic architecture remains incompletely resolved due to extensi...
The catalytic hydrogenation of CO₂ to light olefins offers a promising route for converting greenhouse gases into value-added chemicals. In this work, a series of carbon nanosphere (CNS)-encapsulated ...
Background Meningitis remains a critical public health threat in the "Meningitis Belt" of sub-Saharan Africa, necessitating high-resolution predictive tools for targeted intervention. This study model...
Eutrophication poses a critical challenge to global aquatic ecosystems, with the core difficulty in its remediation lying in the scarcity of sustainable technologies capable of simultaneously and effi...
This article presents a stratified cluster-randomized trial that tested whether a common National Curriculum Development Centre (NCDC)-aligned blending routine would work equally well in two closely r...
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