Results 211 to 220 of about 61,672 (299)

Integrating Time‐Adjusted Imaging Instability Into Functional Outcome Prediction After Intracerebral Hemorrhage: Development and Validation of the HAGIV Score

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Early risk stratification may support clinical decision‐making in spontaneous intracerebral hemorrhage (ICH). We aimed to develop and internally validate HAGIV, a score integrating frequency of imaging markers (FIM), a time‐adjusted non‐contrast computed tomography (CT) metric of hematoma expansion, with established predictors for 90‐
Lei Song, Ren Ke, Anqi Chen, Yufei Fu, Hang Zhou, Rujia Wang, Liwei Zou, Yongqiang Yu, Ming Yuan, Xiaoming Qiu, Mengzhou Xue   +10 more
wiley   +1 more source

Regime-Dependent Elastic Displacement in Bio-Inspired Parametric Kirigami Structures: An Experimental Study of Geometric Parameter Effects. [PDF]

Biomimetics (Basel)
Mokhtar TH, Bakr SM, Khashman QR.
europepmc   +1 more source

Evaluating a Pragmatic Strength Alternative for Frailty Measurement and Assessing Its Predictive Capacity Against Established Frailty Instruments in Rheumatoid Arthritis

Arthritis Care &Research, EarlyView.
Objective Frailty occurs prematurely in rheumatoid arthritis (RA) and is associated with poor health outcomes. We compared the performance of four frailty instruments, including a pragmatic alternative measure using chair sit‐to‐stand (STS), and evaluated their abilities to predict poor health outcomes.
Kylie E. Riggles, Hannah F. Brubeck, Adrienne D. Tanus, Courtney N. Loecker, Punyasha Roul, Bryant R. England, Elizabeth R. Wahl, James S. Andrews, Namrata Singh, Joshua F. Baker, Patricia P. Katz, Dolores M. Shoback, Jose M. Garcia, Ariela R. Orkaby, Katherine D. Wysham   +14 more
wiley   +1 more source

Robust speed control of permanent magnet synchronous motors using model predictive and sliding mode strategies. [PDF]

PLoS One
Meawad M, Ahmed AA, Abdelkader MI, Dessouky YG.   +3 more
europepmc   +1 more source

Prevalence of Systemic Lupus Erythematosus in Australia, 2010–2022: A Population‐Based Study Using Linked National Administrative Health Data

Arthritis Care &Research, EarlyView.
Objective Systemic lupus erythematosus (SLE) is a heterogenous inflammatory condition with widely varying global prevalence estimates. The frequency of SLE in the general population of Australia has been reported to be notably lower than contemporary estimates in countries such as the United States or United Kingdom, at 19 to 39 per 100,000 as opposed ...
Lucinda Roper, Rachel Black, Joanna Tieu, Winnie Chen, Matthew Parker, Catherine Hill, Natasha Nassar, Mandana Nikpour   +7 more
wiley   +1 more source

Learning under uncertainty-Conservation of populations and persistence of dynamic resources through adaptive switching feedback controllers. [PDF]

PLoS One
Smith P, Guiver C.
europepmc   +1 more source

Discordance Between Systemic Lupus Erythematosus Disease Activity Index Domain Weights and Their Association With Organ Damage Accrual

Arthritis Care &Research, EarlyView.
Objective Studies of damage accrual in patients with systemic lupus erythematosus (SLE) show associations with disease activity measured by the SLE Disease Activity Index 2000 (SLEDAI‐2K), but these associations are imperfect. SLEDAI scores are powerfully influenced by weightings (1–8) assigned to each domain.
Kevin Zhang, Eric F. Morand, Sarah E. Boyd, François Petitjean, Alberta Hoi, Rachel Koelmeyer, Iolanda Miceli, Julie A. Monk, Hieu T. Nim   +8 more
wiley   +1 more source

One resistance gene, many transposons: repeated formation of compound and pseudo-compound transposons carrying the aphA1 kanamycin and neomycin resistance gene. [PDF]

J Antimicrob Chemother
Harmer CJ, Hall RM.
europepmc   +1 more source

Engagement Patterns with an AI Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, Accepted Article.
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