Results 161 to 170 of about 29,738 (264)

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Ten simple rules for teaching data science. [PDF]

PLoS Comput Biol
Timbers TA, Çetinkaya-Rundel M.
europepmc   +1 more source

A Statistical Programming Language

Applied Statistics, 1967
Gower, J. C., Simpson, H. R., Martin, A. H.   +2 more
openaire   +1 more source

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

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

Multi-Hardware Benchmarking of Open-Source Large Language Models with Retrieval-Augmented Generation for Mitsubishi FX-Series PLC Instruction List Code Generation. [PDF]

Sensors (Basel)
Yeh MF, Luo CC, Lu CL.
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

Year in review 2025-2026: A year of progress and purpose. [PDF]

Stem Cell Reports
Okano H.
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

Fixation-related potentials reveal that confusing program code elicits a late frontal positivity. [PDF]

Sci Rep
Bergum A, Maurer AM, Peitek N, Bader R, Mecklinger A, Demberg V, Siegmund J, Apel S.   +7 more
europepmc   +1 more source