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 +16 more
wiley +1 more source
Leveraging Learning Analytics to Model Student Engagement in Graduate Statistics: A Problem-Based Learning Approach in Agricultural Education. [PDF]
Xu Z +4 more
europepmc +1 more source
Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course. [PDF]
Ouyang F +4 more
europepmc +1 more source
Cognitive Behavioral Therapy for Youth with Childhood‐Onset Lupus: A Randomized Clinical Trial
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 +29 more
wiley +1 more source
Portable Holter with Cloud-Based Learning Analytics for Real-Time Health Monitoring. [PDF]
Dharma A +4 more
europepmc +1 more source
Key factors predicting problem-based learning in online environments: Evidence from multimodal learning analytics. [PDF]
Wang X, Sun D, Cheng G, Luo H.
europepmc +1 more source
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 +16 more
wiley +1 more source
Advances in Wearable Sensors for Learning Analytics: Trends, Challenges, and Prospects. [PDF]
Hong H, Dai L, Zheng X.
europepmc +1 more source
Learning analytics dashboard: a tool for providing actionable insights to learners. [PDF]
Susnjak T, Ramaswami GS, Mathrani A.
europepmc +1 more source
A Q‐Learning Algorithm to Solve the Two‐Player Zero‐Sum Game Problem for Nonlinear Systems
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 +2 more
wiley +1 more source

