Results 121 to 130 of about 30,014,955 (237)

From Adult to Adolescent: Alignment in Clinical Trials and Outcomes in Axial Spondyloarthritis

Arthritis Care &Research, EarlyView.
Spondyloarthritis (SpA) is a group of chronic inflammatory diseases encompassing axial and peripheral forms, with up to 20% of patients developing symptoms before age 16. Despite this substantial pediatric burden, treatment options for juvenile‐onset SpA (JSpA), particularly those with axial disease (axJSpA), remain limited.
Pamela F. Weiss, Judith A. Smith, Robert A. Colbert, Erin Treemarcki, Michael H. Weisman, Walter P. Maksymowych, Hermine I. Brunner, for the Childhood Arthritis and Rheumatology Research Alliance, Spondyloarthritis Research and Treatment Network, and Pediatric Rheumatology Collaborative Study Group Advisory Council   +9 more
wiley   +1 more source

Democratizing Artificial Intelligence in Toxicology: Real-World Applications and Automated Computational Workflows. [PDF]

Chem Res Toxicol
Mansouri K, Moreira-Filho JT, S Tieghi R, Kleinstreuer N.   +3 more
europepmc   +1 more source

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

Recognition of Familiar Wordforms and Phonological Variation in Akan by Multilingual Infants Learning African Tone Languages in Ghana. [PDF]

Dev Sci
Omane PO, Duah RA, Nazzi T.
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

Application of staff rostering algorithms for emergency departments: protocol for a systematic review. [PDF]

BMJ Open
Landa P, Tanfani E, Mattia S, Ghafourian Nasiri M, Murazzano L, Bergeron F.   +5 more
europepmc   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Another 10 years of PLOS Computational Biology: A data-driven reflection on trends in genomics research. [PDF]

PLoS Comput Biol
Fan J.
europepmc   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Semantic architectures for domain-specific programming AI agents: lessons from a JavaScript semantic assistant. [PDF]

Sci Rep
Ishaq M, Sarmad M, Asim M, Cengiz K, Ivković N.   +4 more
europepmc   +1 more source