Results 191 to 200 of about 1,669,639 (295)

Rheumatoid arthritis, frailty, and outcomes of surgical hospitalizations: A national population‐based analysis

Arthritis Care &Research, Accepted Article.
OBJECTIVE Hospitalization, particularly for surgery, represents a period of heightened stress. We evaluated how frailty attenuates the association of rheumatoid arthritis (RA) with negative health outcomes after elective non‐cardiac surgery. METHODS We conducted a cross‐sectional study using the National Inpatient Sample (2018 to 2020), including ...
Ali Yazdanyar, Joshua Baker, Katherine D Wysham, Mohammed Yousufuddin, Farah Acher Kaiksow, Michael M. Ward   +5 more
wiley   +1 more source

The Quantity Index × Quality Index (Q×Q) Model for Ornamental Value Assessment in Garden Roses Based on Rose Hips, and the Evaluation of 704 Field-Grown Cultivars and Taxa. [PDF]

Plants (Basel)
Boronkay G, Neményi A, Kisvarga S, Horotán K, Orlóci L.   +4 more
europepmc   +1 more source

Towards a functional-structural plant model of cut-rose: simulation of light environment, light absorption, photosynthesis and interference with the plant structure. [PDF]

Ann Bot, 2011
Buck-Sorlin G, de Visser PH, Henke M, Sarlikioti V, van der Heijden GW, Marcelis LF, Vos J.   +6 more
europepmc   +1 more source

Estimating the prevalence and incidence of symptomatic hand OA in the Netherlands using primary care electronic health records.

Arthritis Care &Research, Accepted Article.
Objective This study estimated the incidence and prevalence of symptomatic hand osteoarthritis (OA) in the Dutch population using a validated algorithm that integrates free‐text data from primary care electronic health records (EHRs). Methods This retrospective cohort study used the Integrated Primary Care Information (IPCI) database, including EHRs ...
Onur Kaya, Jacoline van den Driest, Laura Struik, Margreet Kloppenburg, Ruud Selles, Daniel Prieto Alhambra, Sita Bierma‐Zeinstra, Dieuwke Schiphof   +7 more
wiley   +1 more source

The Most Dangerous Thing in Healthcare Isn't AI. It's What's Underneath It. [PDF]

Blockchain Healthc Today
Schwoebel J, Wang T.
europepmc   +1 more source

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

Calcium chloride and/or sodium selenite: an effective strategy for extending vase life and alleviating stem bending in gerbera "Stanza" flowers. [PDF]

BMC Plant Biol
Youssef SM, El-Serafy RS.
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

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