Results 161 to 170 of about 11,733,884 (255)

Understanding the Burden of Orofacial Involvement and Patient Treatment Preferences in Systemic Sclerosis: Results From a Large International Survey

Arthritis Care &Research, EarlyView.
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni, Lee Shapiro, Deana Gibbs, Zsuzsanna H. McMahan, Michael Hughes   +4 more
wiley   +1 more source

The megaproject paradox in urban street food areas: structural inertia and forced resilience in the Global South. [PDF]

Front Sociol
Rahman SA, Syafrini D, Fariza MR, Permata BD, Ramadhani EO, Fadila A, Alyasin R, Putri FNN, Fauziah G, Permana RA.   +9 more
europepmc   +1 more source

Clinical Validation of Artificial Intelligence (AI)‐based Cartilage Segmentation Predicting Knee Replacement

Arthritis Care &Research, Accepted Article.
Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein, David J. Hunter, C. Kent Kwoh, Wolfgang Wirth   +3 more
wiley   +1 more source

Ultrasonic Processing of Graphene Nanoplatelet-Silver Nanoparticle Composite Coatings for Enhanced Mechanical and Antiviral Properties in Medical Textiles. [PDF]

ACS Omega
Liang RLF, Snowdon M, Fattahi A, Dean C, Eppinghoven D, Ausri I, Wu Y, Phang S, Gandhi A, Dang J, Chowdhury T, Tang S, Zhou YN, Freire-Gormaly M.   +13 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

Tracing pathways: the impact of the polycrisis on mental health trajectories in emerging adulthood. [PDF]

Front Public Health
Pinheiro P, Namer Y, Nowak AC.
europepmc   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Guidance framework to apply best practices in ecological data analysis: lessons learned from building Galaxy-Ecology. [PDF]

Gigascience
Royaux C, Mihoub JB, Jossé M, Pelletier D, Norvez O, Reecht Y, Fouilloux A, Rasche H, Hiltemann S, Batut B, Marc E, Seguineau P, Massé G, Amossé A, Bissery C, Lorrilliere R, Martin A, Bas Y, Virgoulay T, Chambon V, Arnaud E, Michon E, Urfer C, Trigodet E, Delannoy M, Loïs G, Julliard R, Grüning B, Le Bras Y, Galaxy-E community.   +29 more
europepmc   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Rational Design of Single-Phase High-Entropy Oxides via Large Language Model Data Mining and Explainable Machine Learning. [PDF]

J Chem Inf Model
da Silva Sousa Santos A, Stojanovska E, Alves AA, de Paula AJ, de Florio DZ, de Almeida JM.   +5 more
europepmc   +1 more source