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
Real-Time Emotion Recognition for Improving the Teaching-Learning Process: A Scoping Review. [PDF]
Llurba C, Palau R.
europepmc +1 more source
Challenges in the Teaching-Learning Process of the Newly Implemented Module on Bioethics in the Undergraduate Medical Curriculum in India. [PDF]
Ganguly B, D'Souza R, Nunes R.
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
Neural reshaping: the plasticity of human brain and artificial intelligence in the learning process. [PDF]
Sadegh-Zadeh SA +3 more
europepmc +1 more source
Emptiness in the study of emotions in the teaching-learning process of reading-writing during the COVID-19 pandemic. [PDF]
Martí-González M +6 more
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
A Rapid Cortical Learning Process Supporting Students' Knowledge Construction During Real Classroom Teaching. [PDF]
Feng X +6 more
europepmc +1 more source
Overview of Machine Learning Process Modelling. [PDF]
Brumen B, Černezel A, Bošnjak L.
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

