Results 171 to 180 of about 4,951,195 (308)

A Scoping Review and Meta‐Analysis of Proportions of Central Nervous System Manifestations Reported in Patients with Sjögren's Disease

Arthritis Care &Research, Accepted Article.
Objective The objective of this scoping review was to synthesize evidence on the proportion of individuals living with Sjögren's disease who experience central nervous system (CNS) manifestations. Methods We searched MEDLINE (via PubMed) and Embase from 1980 through January 29, 2026, and the ECRI Guidelines Trust from 2020 through January 29, 2026 ...
Arun Varadhachary, Ghaith Noaiseh, Julie Frantsve‐Hawley, Frederick B. Vivino, Jennifer A. McCombe, Shamik Bhattacharyya, E. Sherwood Brown, Andrew R. Carey, Robert Fox, Thomas Grader‐Beck, Janet E. Lewis, Stephen Maitz, Steven Mandel, Astrid Rasmussen, George Sarka, R. Hal Scofield, Daniel J. Wallace, Rochelle Zak, Kristie Cox, Katherine M. Hammitt, Steven Carsons, Nancy Carteron   +21 more
wiley   +1 more source

AstroLogics: a simulation-based framework for the analysis of boolean model ensembles. [PDF]

Bioinformatics
Pankaew S, Noël V, Paulevé L, Thieffry D, Barillot E, Calzone L.   +5 more
europepmc   +1 more source

If you can't be with the one you love, love the one you're with: How individual habituation of agent interactions improves global utility

, 2010
Simple distributed strategies that modify the behaviour of selfish individuals in a manner that enhances cooperation or global efficiency have proved difficult to identify.
Noble, Jason, Buckley, C. L., Mills, Rob, Davies, Adam, Watson, Richard   +4 more
core  

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
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, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Attractor dynamics of a whole-cortex network model predicts emergence and structure of fMRI co-activation patterns in the mouse brain. [PDF]

PLoS Comput Biol
Fasoli D, Coletta L, Gutierrez-Barragan D, Gini S, Gozzi A, Panzeri S.   +5 more
europepmc   +1 more source

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
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, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Boolean-network simplification and rule fitting to unravel chemotherapy resistance in non-small cell lung cancer. [PDF]

PLoS One
Espinoza A, Goles E, Montalva-Medel M.
europepmc   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

Advanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source

Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization

Advanced Engineering Materials, EarlyView.
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier, Moritz Blum, Luana Caron, Alisa Chirkova, Philipp Cimiano, Basil Ell, Inga Ennen, Michael Feige, Maik Gaerner, Thomas Hilbig, Andreas Hütten, Günter Reiss, Tapas Samanta, Sonja Schöning, Christian Schröder, Lennart Schwan, Chris Taake, Martin Wortmann   +17 more
wiley   +1 more source

From prior knowledge to data-informed models: a review of Boolean network inference. [PDF]

Brief Bioinform
Klemmer P, Hemedan AA, Schneider R, Ostaszewski M.   +3 more
europepmc   +1 more source