From 11.5 million alloy candidates to AI-guided perovskites, this piece unpacks how materials informatics is speeding up ...

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 ...

A vast region of our solar system, called the Kuiper belt, stretches from the orbit of Neptune out to 50 or so astronomical units (AU), where an AU is the distance between Earth and the sun. This ...

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.

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

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 ...

Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.

Bruker's Acquifer Imaging Machine (IM) is a fully automated widefield microscope with both brightfield and fluorescence ...

Yang, R. and Wang, H. (2025) Application Research on Close-Range Photogrammetry Acquisition and Processing Technology for ...

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

Various measurement techniques can be employed to inspect and survey a seabed in shallow coastal waters, including oceans, ...