Results 181 to 190 of about 19,827,081 (234)
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 more
wiley +1 more source
Hippocampal skill memory expansion drives online performance dynamics during skill learning. [PDF]
Iwane F +4 more
europepmc +1 more source
OBJECTIVE Hospitalization, particularly for surgery, represents a period of heightened stress. We evaluated how frailty attenuates the association of rheumatoid arthritis (RA) with negative health outcomes after elective non‐cardiac surgery. METHODS We conducted a cross‐sectional study using the National Inpatient Sample (2018 to 2020), including ...
Ali Yazdanyar +5 more
wiley +1 more source
Reimagining Data for Equity: Reaching the Unreached Map Explorer for Localized Public Health Intelligence in the Western Pacific Region. [PDF]
Hashmi S +5 more
europepmc +1 more source
dynoGP: Deep Gaussian Processes for Dynamic System Identification
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli +3 more
wiley +1 more source
When redo-transcatheter aortic valve replacement (TAVR) is not enough: self-expanding TAVR explant and the next frontier of lifetime valve management. [PDF]
Shrouf A +3 more
europepmc +1 more source
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Autism spectrum disorder burden across 798 locations, 1990-2023: frontier and inequality mapping in the context of child injury prevention and safety promotion. [PDF]
Liang X +14 more
europepmc +1 more source
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi +4 more
wiley +1 more source

