Growing demand for eco-conscious turf care and soil management highlights a shift toward sustainable materials and ...

This rare outcome in cartilage repair suggests true biological cartilage regeneration, not merely defect filling Unlike ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and ...

Background/aims Up-to-date, stratified estimates of the number of individuals affected by glaucoma in the UK are lacking.

Chemical biology increasingly benefits from the close integration of experimental structural techniques and computational ...

Abstract: Edge prediction (EP) is a long-standing and fundamental task in graph-structured data analysis, and has served as a key driver in the advancement of graph learning. Traditional EP methods ...

Researchers from MIT, Northeastern University, and Meta recently released a paper suggesting that large language models (LLMs) similar to those that power ChatGPT may sometimes prioritize sentence ...

In drug discovery, virtual screening is a fast and cost-effective way of narrowing down vast chemical libraries to identify the most promising hits, reducing synthesis and testing requirements while ...

Abstract: Text generation from structured data is an important task in many NLP applications, which aim to automatically generate text content with accurate description and clear structure from the ...