SinoXivClustering 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...
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...
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...
Alzheimer’s disease is a progressive neurodegenerative disorder characterized by cognitive decline and widespread cellular dysfunction. While individual pathological features such as mitochondrial imp...
The current data validation systems are mostly reactive, static, and resource-heavy which may lead to interruptions of pipelines and will not be able to detect data corruption in real-time settings. T...
Assessing urban thermal equity at the neighborhood level requires integrating physical exposure, demographic vulnerability, and adaptive capacity, yet many cities lack the longitudinal demographic dat...
Adverse 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 ...
Objective Maintenance hemodialysis (MHD) patients face a high risk of mortality. This study aimed to identify factors associated with mortality and assess the survival benefit of hemodialysis combined...
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...
A fully reproducible expected-goals (xG) modelling pipeline is presented as an interpretable machine learning approach using open football event data from StatsBomb for La Liga 2015/2016 and the 2018 ...
