Results 191 to 200 of about 346,866 (255)

Unsupervised Machine Learning Identifies Shared Biomechanical and Clinical Variation in Individuals with Knee Osteoarthritis and High BMI: A Secondary Analysis of the IDEA Trial

Arthritis Care &Research, Accepted Article.
Objective High body mass index (BMI≥27 kg/m2) and aberrant gait biomechanics are primary risk factors for knee osteoarthritis (KOA), yet the specific loading patterns linked to clinical disease features remain unclear. Unsupervised machine learning (ML) was used to identify vertical ground reaction force (vGRF) waveform modes of variation and ...
Ashley N. Buck, J. Elyse Borgert, Hyeon Lee, Liubov Arbeeva, Yvonne M. Golightly, Richard F. Loeser, Leigh F. Callahan, Stephen P. Messier, Brian Pietrosimone, Amanda E. Nelson, James S. Marron   +10 more
wiley   +1 more source

[Corrigendum] Identification of key differentially expressed genes associated with non‑small cell lung cancer by bioinformatics analyses. [PDF]

Mol Med Rep
Xiao Y, Feng M, Ran H, Han X, Li X.
europepmc   +1 more source

The association of gout flare resolution with physical activity and sleep: a prospective remote‐monitoring study

Arthritis Care &Research, Accepted Article.
Objectives This study aimed to determine whether gout flare resolution is associated with physical activity and sleep. These findings were intended to inform the future development of a definition for flare resolution. Methods Data from 81 participants with gout who experienced >1 flare during a 6‐month prospective observational study were included ...
Sarah Stewart, Boston Girven, Mia Clarke, Irene Zeng, Angelo Gaffo, Lisa K Stamp, N Lawrence Edwards, David Rice, Tania Ka'ai, Karl Rudolph, Julie Collis, Nicola Kayes, Nicola Dalbeth   +12 more
wiley   +1 more source

Sticker Valence Governs Chain Collapse and Liquid-Liquid Phase Separation in Peptide-Inspired Associative Polymers. [PDF]

Adv Sci (Weinh)
Oh SH, Lee J, Lee S, Jung R, Lee S, Hur SM, Lee DW, Choi SH.   +7 more
europepmc   +1 more source

The content and reporting completeness of physical therapist‐led interventions for glenohumeral osteoarthritis: a systematic review

Arthritis Care &Research, Accepted Article.
Objectives This study synthesised the content and reporting completeness of published physical therapist‐led interventions for glenohumeral osteoarthritis (GHOA). Methods This systematic review undertook electronic database searches in PubMed, EMBASE, Cochrane, CINAHL and PEDro (until June 2025) for any peer‐reviewed articles/studies describing ...
Daha G Muhammad, Nadine E Foster, Mickylle Pelaez, Karina O'Leary, Ilana N Ackerman, Jonathan G Quicke   +5 more
wiley   +1 more source

When should a laparoscopic cholecystectomy be performed after ERCP for common bile duct stones combined with gallbladder stones? A meta-analysis of randomized controlled trials. [PDF]

Front Surg
Shi T, Fu C, Li Y, Chen W, Sun H, Jin Y, Lin X, Cao W, Ran B.   +8 more
europepmc   +1 more source

Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch

International Journal of Adaptive Control and Signal Processing, EarlyView.
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane, Salama Makni, Mourad Kchaou, Ahmed El Hajjaji   +3 more
wiley   +1 more source

<i>Eureiandra orientalis</i> (Cucurbitaceae), a new species from Kenya and Tanzania. [PDF]

PhytoKeys
Wang RZ, Ran ZH, Schaefer H, Luke Q, Mollel NP, Kirika PM, Chapano C, Yan X, Wang SW, Wei N, Wang QF.   +10 more
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