Results 121 to 130 of about 963,334 (236)

Effectiveness of m-Learning in Enhancing Knowledge Retention for Nurses' Lifelong Learning: Quasi-Experimental Study. [PDF]

JMIR Nurs
Cunha DJ, Machado P, Padilha JM.
europepmc   +1 more source

Combining Three Peripheral Blood Biomarkers to Stratify Rheumatoid Arthritis‐Associated Interstitial Lung Disease Risk

Arthritis Care &Research, Accepted Article.
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase (MMP)‐7, and serum anti‐malondialdehyde‐acetaldehyde (anti‐MAA) antibody for RA‐associated interstitial lung disease risk stratification. Methods Using a multicenter cohort of US veterans with RA, we performed a cross‐
Kelsey Coziahr, Austin M. Wheeler, Brent A. Luedders, Michael Duryee, Halie Frideres, Katherine D. Wysham, Grant W. Cannon, Gary Kunkel, Dana P. Ascherman, Paul A. Monach, Gail S. Kerr, Andreas M. Reimold, Scott M. Matson, Joshua F. Baker, Geoffrey M. Thiele, Ted R. Mikuls, Bryant R. England   +16 more
wiley   +1 more source

Micro-learning and Mindtools in Mobile-Learning (M-Learning): effects on knowledge and self-efficacy in laparoscopy education for surgical nursing students. [PDF]

BMC Nurs
HajiAbad FA, Keshmiri F, Jabinian F, Shiryazdi SM.   +3 more
europepmc   +1 more source

Attitudes and Perceptions of Medical Undergraduates Towards Mobile Learning (M-learning). [PDF]

J Clin Diagn Res, 2016
Patil RN, Almale BD, Patil M, Gujrathi A, Dhakne-Palwe S, Patil AR, Gosavi S.   +6 more
europepmc   +1 more source

Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, Accepted Article.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

A Study on Students Acquisition of IT Knowledge and Its Implication on M-Learning. [PDF]

ScientificWorldJournal, 2015
Balavivekanandhan A, Arulchelvan S.
europepmc   +1 more source

Evaluation of a novel EHR sidecar application to display RA clinical outcomes during clinic visits: results of a stepped‐wedge cluster randomized pragmatic trial

Arthritis Care &Research, Accepted Article.
Objective We developed a novel EHR sidecar application to visualize key rheumatoid arthritis (RA) outcomes, including disease activity, physical function, and pain, via a patient‐facing graphical interface designed for use during outpatient visits (“RA PRO dashboard”).
Gabriela Schmajuk, Jing Li, Cathy Nasrallah, Cherish Wilson, Alicia Hamblin, Christine Hariz, Cammie Young, Stephen Shiboski, Emma Kersey, Mary Nakamura, Judith F. Ashouri, Mehrdad Matloubian, Andrew J. Gross, Jennifer Barton, Beth Berrean, Jonathan Prugh, Jinoos Yazdany   +16 more
wiley   +1 more source

M-Learning in education during COVID-19: A systematic review of sentiment, challenges, and opportunities. [PDF]

Heliyon
Qazi A, Qazi J, Naseer K, Hasan N, Hardaker G, Bao D.   +5 more
europepmc   +1 more source

Improving empathy and self-efficacy in caregivers of persons with intellectual disabilities, using m-learning (HiSense APP-ID): study protocol for a randomized controlled trial. [PDF]

Trials, 2018
van Wingerden E, Sterkenburg PS, Wouda M.   +2 more
europepmc   +1 more source

A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems

International Journal of Adaptive Control and Signal Processing, Volume 39, Issue 3, Page 566-581, March 2025.
A Q‐learning algorithm to solve the two‐player zero‐sum game problem for nonlinear systems. ABSTRACT This paper deals with the two‐player zero‐sum game problem, which is a bounded L2$$ {L}_2 $$‐gain robust control problem. Finding an analytical solution to the complex Hamilton‐Jacobi‐Issacs (HJI) equation is a challenging task.
Afreen Islam, Anthony Siming Chen, Guido Herrmann   +2 more
wiley   +1 more source