Results 171 to 180 of about 1,393,287 (284)

Enhanced exploration in reinforcement learning using graph neural network based intrinsic reward mechanism. [PDF]

Sci Rep
Pandian JA, Thirunavukarasu R, Nagarajan R.   +2 more
europepmc   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

Arthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah, Alexis Castellanos, Yen Chen, John Piette, Amy Bucher, Susan Murphy   +5 more
wiley   +1 more source

State-dependent value representation: Evidence from the striatum

Frontiers in Neuroscience, 2014
Christopher J Burke, Jean-Claude eDreher, Ben eSeymour, Ben eSeymour, Philippe N Tobler   +4 more
doaj   +1 more source

Exploring the mediating effect of burnout between fear of COVID-19, job-related stress and turnover intention among elderly care workers. [PDF]

BMC Health Serv Res
Németh Z, Deák P, Makai A, Hock M.
europepmc   +1 more source

OPTIMALISASI KONSEP REWARD TERHADAP WHISTLE BLOWER TINDAK PIDANA KORUPSI DI INDONESIA

, 2016
Edi As'adi
openalex   +2 more sources

Lived and Care Experiences of Chronic Musculoskeletal Shoulder Pain in Australian Adults: A Qualitative Study

Arthritis Care &Research, EarlyView.
Objective Australian evidence on lived and care experiences of chronic musculoskeletal shoulder pain (CMSP), irrespective of disorder classification or disease, is limited. However, such evidence is important for person‐centered care and informing local service pathways and care guidelines or standards.
Sonia Ranelli, Joanne E. Jordan, Ilana N. Ackerman, Alison Thorpe, Jennifer G. Persaud, Linda J. Woodhouse, Jason Chua, Ben Horgan, Andrew M. Briggs   +8 more
wiley   +1 more source

Robot motion skill learning method based on focused reward transformer. [PDF]

Sci Rep
Nan B, Zheng X, Gong W, Bi L, Zhu X, Zhu X.   +5 more
europepmc   +1 more source

LOXHD1 and RHOB Expression by Monocytes Predicts Progressive Systemic Sclerosis associated Interstitial Lung Disease

Arthritis Care &Research, Accepted Article.
Objective A leading cause of death among scleroderma (SSc) patients, interstitial lung disease (ILD) remains challenging to prognosticate. The discovery of biomarkers that accurately determine which patients would benefit from close monitoring and aggressive therapy would be an essential clinical tool.
Cristina M Padilla, Robert Lafyatis, Kevin F Gibson, Christina Morse, Eleanor Valenzi, Xiaoping Chen, Xiaoyun Li, Yanwu Zhao, Yongseok Park, Dana Ascherman, Jonathan Minden, Robyn Domsic, Yingze Zhang, Daniel J Kass   +13 more
wiley   +1 more source

Neural interactions between reward and inhibition in preadolescent irritability: a dual-task design. [PDF]

Neuroimage Clin
Parker AJ, Walker JC, Dougherty LR, Wiggins JL.   +3 more
europepmc   +1 more source

Cost‐Effectiveness of Low‐Dose Colchicine Prophylaxis When Starting Allopurinol Using the “Start‐Low Go‐Slow” Approach for Gout: Evidence From a Noninferiority Randomized Double‐Blind Placebo‐Controlled Trial

Arthritis Care &Research, EarlyView.
Objective The aim of this study was to investigate the cost‐effectiveness of low‐dose colchicine prophylaxis for preventing gout flares when starting allopurinol using the “start‐low go‐slow” approach. Methods Participants with gout, fulfilling the American College of Rheumatology recommendations for starting urate‐lowering therapy and with serum urate
Yana Pryymachenko, Ross Wilson, Nicola Dalbeth, J. Haxby Abbott, Lisa Stamp   +4 more
wiley   +1 more source