Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Advanced safety-instrumented system features minimize complexity, downtime and costs Chemical process plants must be vigilant ...

Confident identification: More fragments are acquired with EAD, allowing users to confidently identify the site of metabolism ...

Recent hash table development raises questions about an optimal solution. Hash tables are one of the oldest and simplest data structures for storing elements and supporting deletions and queries.

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Mile City, Temperature and Humidity Index, Wind Efficiency Index, Tourism Climate Resources Share and Cite: Zhou, Y. X. and Xi, W. J. (2025) Analysis of Tourism Climate Resources in Mile City. Journal ...

This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...

Try shopping for a USB-C cable and you’ll no doubt be struck by the confusing disparities in cable pricing and performance claims. These are just cables, right? Can they really be that different? At ...

Building an AI-Integrated Braille Recognition Model for Blind Education: From Mechanical Devices to Personalized Learning ...

Lung cancer remains the most frequently diagnosed malignancy and the leading cause of cancer tumour-related mortality ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...