Results 211 to 220 of about 16,388,512 (287)

Generative AI Utilization and Perspectives Among Reproductive‐Age Women with Systemic Autoimmune and Rheumatic Diseases

Arthritis Care &Research, Accepted Article.
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, Catherine Wright, Samantha Rodriguez, Sarah Graves, Tamar Krishnamurti, Mehret Birru Talabi   +5 more
wiley   +1 more source

Addressing Errors in Scientific Publishing: The Role of Errata. [PDF]

JNMA J Nepal Med Assoc
Regmi S.
europepmc   +1 more source

dynoGP: Deep Gaussian Processes for Dynamic System Identification

International Journal of Adaptive Control and Signal Processing, EarlyView.
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, Marco Forgione, Dario Piga, Marco Zaffalon   +3 more
wiley   +1 more source

Editorial: Accountability, voice, and trust - responsible use of GenAI in scientific publishing. [PDF]

Evol Lett
europepmc   +1 more source

Generative artificial intelligence in scientific publishing: Expectations for authors and reviewers at <i>Preventive Medicine</i> and <i>Preventive Medicine Reports</i>. [PDF]

Prev Med Rep
Arthur AW, Moore A, Rosado LC, Kassam P, Logel M, Nieves CI, Tope P, Litaker D, Borrell LN.   +8 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

Scientific publishing: crisis, challenges, and new opportunities. [PDF]

Front Public Health
Vineis P.
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

The Cost of Slashing Indirect Costs of Research: A Perspective from the Vantage Point of Scientific Publishing. [PDF]

Nat Sci (Weinh)
Bearer EL, Meijer G, Friedrich B.
europepmc   +1 more source

Low‐Temperature Imidization of Polyimides (PI) for Scalable Manufacturing of Flexible Wearable Electronics

Advanced Engineering Materials, EarlyView.
Low‐temperature imidization of PEG‐modified polyimide enables fully screen‐printed, roll‐to‐roll fabrication of flexible electrodes on PET substrates, delivering robust mechanical durability and reliable ECG/EMG signal performance for wearable electronics.
Akib Abdullah Khan, Jong‐Hoon Kim
wiley   +1 more source