Results 271 to 280 of about 13,635,921 (329)

What should a learning health system look like? [PDF]

BMJ Open Qual
Foy R, Carder P, Johnson S, Copsey B, Alderson S.   +4 more
europepmc   +1 more source

Understanding Functional Materials at School

Advanced Functional Materials, EarlyView.
This review outlines strategies for effectively teaching nanoscience in schools, focusing on challenges such as scale comprehension and curriculum integration. Emphasizing inquiry‐based learning and chemistry core concepts, it showcases hands‐on activities, digital tools, and interdisciplinary approaches.
Johannes Claußnitzer, Jürgen Paul
wiley   +1 more source

Intelligent generation and optimization of resources in music teaching reform based on artificial intelligence and deep learning. [PDF]

Sci Rep
Cheng D, Qu X.
europepmc   +1 more source

Domain Nucleation and Growth in an Epitaxially Grown Wurtzite Ferroelectric

Advanced Functional Materials, EarlyView.
Ferroelectric domain nucleation and growth in epitaxial wurtzite (Al, B, Sc)N films are visualized through in situ transmission electron microscopy. Domains initiate near the bottom electrode and propagate laterally with zigzag walls, while unswitched regions remain near the electrode interfaces.
Sebastian Calderon, Chloe Skidmore, Jon‐Paul Maria, Elizabeth C. Dickey   +3 more
wiley   +1 more source

Unveiling barriers of introverts to collaborative learning: an exploratory mixed-methods study across medical student personalities. [PDF]

BMC Psychol
Bhuriveth V, Lertsakulbunlue S, Tangdumrongvong V, Charoensakulchai S, Piyaraj P, Mahagita C, Kantiwong A.   +6 more
europepmc   +1 more source

Higher‐Order Temporal Dynamics in Complementary Charge Trap Memristor for High‐Dimensional Reservoir Computing

Advanced Functional Materials, EarlyView.
A complementary charge‐trap memristor (CoCTM) featuring a unique current transient with tunable overshoot‐relaxation dynamics is introduced for high‐resolution reservoir computing. By leveraging higher‐order temporal dynamics from engineered trapping layers, the device generates multiple output states from a single input, forming rich, high‐dimensional
Alba Martinez, Younghyun Lee, Geunyoung Kim, Woojoon Park, Jingyao Yu, Sooyeon Narie Kay, Eun Young Kim, Hakseung Rhee, Do Hoon Kim, Kyung Min Kim   +9 more
wiley   +1 more source

Students' Perceptions of Learning Analytics for Mental Health Support: Qualitative Study. [PDF]

JMIR Form Res
Freccero A, Onwunle M, Elliott J, Podder N, Purrinos De Oliveira J, Dewa LH.   +5 more
europepmc   +1 more source

Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System

Advanced Functional Materials, EarlyView.
We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang, Jaerok Kim, Sang‐Min Lee, Sungpyo Baek, Saeroonter Oh, Yoonmyung Lee, Sungjoo Lee   +6 more
wiley   +1 more source