Results 131 to 140 of about 636,159 (270)

Adaptive learning from outcome contingencies in eating-disorder risk groups. [PDF]

Transl Psychiatry, 2023
Pike AC, Sharpley AL, Park RJ, Cowen PJ, Browning M, Pulcu E.   +5 more
europepmc   +1 more source

Barriers and Facilitators for Implementing Resilience Coaching for Youth With Chronic Musculoskeletal Pain: Pediatric Rheumatologists’ Perspectives

Arthritis Care &Research, EarlyView.
Objective Promoting Resilience in Stress Management (PRISM) is a resilience coaching program designed for adolescents with chronic illness. We aimed to examine the perceived feasibility, acceptability, and appropriateness of PRISM among pediatric rheumatologists treating adolescents with chronic musculoskeletal pain and obtain recommendations for ...
Sabrina Gmuca, Anyun Chatterjee, Mackenzie McGill, Nellie Butler, Katherine S. Kellom, Jami F. Young, Tonya M. Palermo, Pamela F. Weiss, Abby R. Rosenberg, Peter F. Cronholm   +9 more
wiley   +1 more source

Towards tailored online learning: Predicting learner profiles in an online learning environment with perceived needs satisfaction

Educational Technology & Society
This study examined the relationship of learner profiles and the satisfaction of basic psychological needs among 109 undergraduate physics students participating in an online algebra training program.
Fei Gao, Rong Liu
doaj   +1 more source

Designing and Implementing the Adaptive Learning Meeting Cycle: The (re)solve Project Experience in Burkina Faso. [PDF]

Glob Health Sci Pract, 2023
Trasi R, Angelone C, Hounkanrin G.
europepmc   +1 more source

Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. [PDF]

Bioinformatics, 2023
Jiao S, Ye X, Ao C, Sakurai T, Zou Q, Xu L.   +5 more
europepmc   +1 more source

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Automatic Domain Adaptation by Transformers in In-Context Learning [PDF]

arXiv
Selecting or designing an appropriate domain adaptation algorithm for a given problem remains challenging. This paper presents a Transformer model that can provably approximate and opt for domain adaptation methods for a given dataset in the in-context learning framework, where a foundation model performs new tasks without updating its parameters at ...
arxiv  

A Theoretical Framework for a Mathematical Cognitive Model for Adaptive Learning Systems. [PDF]

Behav Sci (Basel), 2023
Sun S, Wu X, Xu T.
europepmc   +1 more source

Scaling Up Synthetic Cell Production Using Robotics and Machine Learning Toward Therapeutic Applications

Advanced Biology, EarlyView.
Synthetic cells (SCs) hold great promise for biomedical applications, but manual production limits scalability. This study presents an automated method for large‐scale SC synthesis, integrating robotic liquid handling and machine learning‐driven high‐throughput characterization.
Noga Sharf‐Pauker, Ido Galil, Omer Kfir, Gal Chen, Rotem Menachem, Jeny Shklover, Avi Schroeder, Shanny Ackerman   +7 more
wiley   +1 more source

Quantum receiver enhanced by adaptive learning. [PDF]

Light Sci Appl, 2022
Cui C, Horrocks W, Hao S, Guha S, Peyghambarian N, Zhuang Q, Zhang Z.   +6 more
europepmc   +1 more source