Results 151 to 160 of about 1,718,862 (286)

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

On Fractional Gaussian Random Fields Simulations

Journal of Statistical Software, 2007
To simulate Gaussian fields poses serious numerical problems: storage and computing time. The midpoint displacement method is often used for simulating the fractional Brownian fields because it is fast.
Alexandre Brouste, Jacques Istas, Sophie Lambert-Lacroix   +2 more
doaj  

Perceived Impacts and Predictors of Cannabis Products used by Rheumatology Patients in Alberta: A Multivariable Analysis of Cross‐sectional Survey Data

Arthritis Care &Research, Accepted Article.
Objective This study aimed to characterize cannabis product choices (cannabinoid content and formulation) among rheumatology patients, and their associations with patient factors, patient reported perceived side effects and positive impacts. Methods An online survey (delivered from March to November 2022) was distributed by Alberta Health Services to ...
Susan Zhang, Samuel A.J. Lowe, Frank Sun, Allyson Jones, Tarek Turk, Joanne Olson, Pauline Paul, Shelby Yamamoto, Linda Kolewaski, Elaine Yacyshyn, Cheryl A. Sadowski   +10 more
wiley   +1 more source

Impact of missing data on the prediction of random fields. [PDF]

J Appl Stat, 2020
Hamaz A, Arezki O, Achemine F, Achemine F.   +3 more
europepmc   +1 more source

Associations of lifestyle‐related factors and psoriatic arthritis disease activity: the Dutch south west psoriatic arthritis study

Arthritis Care &Research, Accepted Article.
Objective This study aims to investigate lifestyle‐related factors in patients with psoriatic arthritis (PsA) and their association with disease activity measurements. Methods This multicenter cohort included 938 patients newly diagnosed with PsA, between 2013 and 2023. A composite lifestyle risk score (range 0 to 5) was calculated using five lifestyle‐
Batoul Hojeij, Ilja Tchetverikov, Marc R. Kok, Marijn Vis, Yvonne Goekoop‐Ruiterman, Jessica Bijsterbosch, Paul Baudoin, Reinhard Bos, Jos H. van der Kaap, Petra Kok, Lindy‐Anne Korswagen, Jolanda J. Luime   +11 more
wiley   +1 more source

On critical points of Gaussian random fields under diffeomorphic transformations. [PDF]

Stat Probab Lett, 2020
Cheng D, Schwartzman A.
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

Random fields and apparent exchange bias in the dilute Ising antiferromagnet Fe_0.6Zn_0.4F₂. [PDF]

Sci Rep, 2020
Joshi DC, Nordblad P, Mathieu R.
europepmc   +1 more source

On the Lightweight Potential of Laser Additive Manufactured NiTi Triply Periodic Minimal Sheet Lattices

Advanced Engineering Materials, EarlyView.
This study explores the lightweight potential of laser additive‐manufactured NiTi triply periodic minimal surface sheet lattices. It systematically investigates the effects of relative density and unit cell size on surface quality, deformation recovery, compression behavior, and energy absorption.
Haoming Mo, Shuo Qu, Shiming Gao, Xu Song   +3 more
wiley   +1 more source

Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation. [PDF]

Sci Rep
Cassidy B, McBride C, Kendrick C, Reeves ND, Pappachan JM, Raad S, Yap MH.   +6 more
europepmc   +1 more source