Results 141 to 150 of about 646,720 (313)
Learning to interact, interacting to learn action-centric reinforcement learning
Apprendre à interagir, interagir pour apprendre, apprentissage par renforcement centré sur les actions Dans cette thèse de doctorat, nous étudions l'apprentissage séquentiel (dit ``par renforcement'') en intelligence artificielle, plus particulièrement les notions d'actions et d'interactivité. En apprentissage par renforcement, un agent
openaire +2 more sources
Objective A patient‐centered approach for chronic disease management, including systemic lupus erythematosus (SLE), aligns treatment with patients’ values and preferences, leading to improved outcomes. This paper summarizes how patient experiences, perspectives, and priorities informed the American College of Rheumatology (ACR) 2024 Lupus Nephritis (LN)
Shivani Garg +20 more
wiley +1 more source
L2 Interactions in Heterogeneous Learner Groups during Content and Language Integrated Learning: The Experience of Rail.lexis and beyond [PDF]
Сontent and language integrated learning is considered a powerful tool to promote inclusion in educational settings of learners for whom the language of instruction is their additional language.
Neef, Martin +3 more
core +1 more source
Collective relational inference for learning heterogeneous interactions
Interacting systems are ubiquitous in nature and engineering, ranging from particle dynamics in physics to functionally connected brain regions. Revealing interaction laws is of fundamental importance but also particularly challenging due to underlying ...
Zhichao Han, Olga Fink, David S. Kammer
doaj +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
Artificial Intelligence Models and Tools for the Assessment of Drug–Herb Interactions
Artificial intelligence (AI) has emerged as a powerful tool in medical sciences that is revolutionizing various fields of drug research. AI algorithms can analyze large-scale biological data and identify molecular targets and pathways advancing ...
Marios Spanakis +6 more
doaj +1 more source
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Research-based teacher education: Interactions between research and teaching
Throughout the literature, research and teaching are described as being fundamentally different; they are reported to rely on different norms to ascertain what counts as knowledge as well as what accepted ways of knowledge development are.
Education and Learning: Development in Interaction +2 more
core
Frailty Predicts Incident Osteoporotic Fractures in Veterans with Rheumatoid Arthritis
Background/Objective Rheumatoid arthritis (RA) is associated with an increased risk of frailty and osteoporosis, but the relationship between frailty and incident osteoporotic fractures in RA is underexplored. Methods Data were from the Veterans Affairs Rheumatoid Arthritis (VARA) Registry.
Katherine D. Wysham +14 more
wiley +1 more source
EDITORIAL: Teaching and Technology: Diverse Interactions for Diverse Contexts
This is the second issue of the Scopus-indexed JL4D Volume 11, and the selected papers in this issue (seven research papers, five case studies, one field report, and two book reviews) represent researches and reflections on ‘teaching and technology ...
Panda, Santosh
core +1 more source

