Results 241 to 250 of about 563,030 (299)

Applying models of self-regulated learning to understand engagement with digital health interventions: a narrative review. [PDF]

Front Digit Health
Liu C, Messer M, Linardon J, Fuller-Tyszkiewicz M.   +3 more
europepmc   +1 more source

Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics

Advanced Robotics Research, EarlyView.
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won, Jaehyun Jang, Hyeonseo Kim, Inyoung Choi, Steve Park, Seongjun Park   +5 more
wiley   +1 more source

Beyond Grades: Harnessing Self-Regulated Learning to Empower Underperforming Students. [PDF]

Niger Med J
Singaravelu SLD, Chandrakumari AS.
europepmc   +1 more source

Predicting Macrophage Spatial Localization from Single‐Cell Transcriptomes to Uncover Disease Mechanisms

Advanced Science, EarlyView.
This study presents a machine‐learning framework entitled MERLIN that infers the microanatomical localization of macrophages from single‐cell transcriptomic data in structured organs such as the kidney and brain. Applying this method to existing datasets from models of acute kidney injury and diabetic nephropathy uncovered spatially resolved insights ...
Junping Yin, Qi Mei, Hans‐Joachim Paust, Ning Song, Yu Zhao, Daniela Klaus, Melanie Eichler, Yijun Hua, Jie Qin, Weiting Cheng, Christina K. Weisheit, Veronika Lukacs‐Kornek, Isis Ludwig‐Portugall, Sibylle von Vietinghoff, Christian F. Krebs, Johanna Klughammer, Ulf Panzer, Christian Kurts, Jian Li   +18 more
wiley   +1 more source

The relationship between digital literacy and college students' academic achievement: the chain mediating role of learning adaptation and online self-regulated learning. [PDF]

Front Psychol
Chen F.
europepmc   +1 more source

Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects

Advanced Science, EarlyView.
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su, Jian Qin, Hui Shen, Ling‐Li Zeng, Baojuan Li, Jin Liu, Xuemei Song, Li Liu, Weidan Pu, Tongjian Bai, Huaning Wang, Hong Yin, Kai Wang, Lingjiang Li, Dewen Hu   +14 more
wiley   +1 more source

Investigating the role of self-assessment in enhancing self-regulated learning amongst medical students in problem-based learning. [PDF]

BMC Med Educ
Khoiriyah U, Roberts C.
europepmc   +1 more source

How adaptive social robots influence cognitive, emotional, and self-regulated learning. [PDF]

Sci Rep
Ackermann H, Lange AL, Hafner VV, Lazarides R.   +3 more
europepmc   +1 more source

Psychological Well-Being and Self-Efficacy for Self-Regulated Learning. [PDF]

Int J Environ Res Public Health
Pedditzi ML, Scalas LF.
europepmc   +1 more source

Pragmatic clustered randomised control trial to evaluate a self-regulated learning intervention to be implemented in South Australian primary schools-study protocol. [PDF]

Trials
Brinkman SA, Lam B, Dawson S, Marrone R, Schunk D, Winkel K, Hermes H, Gabriel F, Fowler S, Engelhardt D.   +9 more
europepmc   +1 more source