Results 181 to 190 of about 96,988 (308)
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
Modifications of Biodentine and Their Influence on Endodontic Properties: A Scoping Review. [PDF]
Batul R +5 more
europepmc +1 more source
Inspired by biological ion transport, this work introduces self‐powered multifunctional sensors utilizing tailored hydrogel stacks. Optimizing ionic migration with MXenes and carbon nanotubes achieves high‐performance energy harvesting and unique logic circuit functionality.
Haoran Chen +9 more
wiley +1 more source
BSxCuBE-Web - a web application for bioSAXS high-throughput collection and experimental control. [PDF]
Florial JB +13 more
europepmc +1 more source
Handling interlinked XML instances on the Web
XML instances are not necessarily self-contained but may have links to remote XML data residing on other servers. Links between (autonomous) XML instances can be expressed by the XLink language; although, querying such interlinked sources is not yet actually supported.
Behrends, E. +3 more
openaire +1 more source
We screened 558 reverse transcriptases and engineered an optimized rat endogenous retrovirus‐derived variant, enRERV‐RT, via structure‐guided engineering and deep mutational scanning. This enhanced prime editor, based on the engineered RT, outperforms conventional M‐MLV‐RT systems across plant and animal cells, particularly at hard‐to‐edit loci ...
Linsha Ma +22 more
wiley +1 more source
Microglial response to sleep deprivation depends on the hippocampal region and paradigm used in adult male mice. [PDF]
Kox J +10 more
europepmc +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source
Development and validation of an interpretable stacking-based risk model for breast cancer- related lymphoedema: a cross-sectional study. [PDF]
Ying KM, Dang CX, Zhou Q, Xue H.
europepmc +1 more source
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou +8 more
wiley +1 more source

