Results 221 to 230 of about 2,060,543 (287)

Leaky‐Integrate‐Fire Neuron via Synthetic Antiferromagnetic Coupling and Spin‐Orbit Torque

Advanced Science, EarlyView.
A spintronic leaky‐integrate‐and‐fire neuron is realized using Spin Orbit Torque driven domain‐wall motion for integration and synthetic antiferromagnetic coupling for the leaky process. The specialized Hall‐bar geometry enables controlled DW dynamics, achieving repeatable integration and firing events. This compact, CMOS‐compatible design highlights a
Badsha Sekh, Durgesh Kumar, Hasibur Rahaman, Ravi Shankar Verma, Ramu Maddu, Jianpeng Chan, Wai Lum William Mah, Stuart S. P. Parkin, S. N. Piramanayagam   +8 more
wiley   +1 more source

Comparative analysis of learning motivation, strategies, and effectiveness between medical interns and PGY during the pandemic. [PDF]

Medicine (Baltimore)
Hsu CM, Chuang SC.
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

The Effects of Parental Food Education on Children's Food Literacy: The Mediating Role of Parent-Child Relationship and Learning Motivation. [PDF]

Nutrients
Xu X, Cai H, Zhang J, Xia T.
europepmc   +1 more source

Oxide Semiconductor Thin‐Film Transistors for Low‐Power Electronics

Advanced Science, EarlyView.
This review explores the progress of oxide semiconductor thin‐film transistors in low‐power electronics. It illustrates the inherent material advantages of oxide semiconductor, which enable it to meet the low‐power requirements. It also discusses current strategies for reducing power consumption, including interface and structure engineering.
Shuhui Ren, Qi Huang, Dingwei Li, Saisai Wang, Yitong Chen, Huihui Ren, Yan Wang, Yingjie Tang, Bowen Zhu   +8 more
wiley   +1 more source

Social support and academic procrastination in health professions students: the serial mediating effect of intrinsic learning motivation and academic self-efficacy. [PDF]

Adv Health Sci Educ Theory Pract
Chen X, Wu M, Dong G, Cui L, Qu B, Zhu Y.   +5 more
europepmc   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

Advanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu, Haolin Fan, Minwoo Kim, Tong Zhou, Pinyi Yang, Lingdi Zhao, Yiran Wang, Ziyuan Che, Chia‐Wei Liu, Bingbing Li, Yangzhi Zhu   +10 more
wiley   +1 more source

Correction: Unveiling the Nexus: Influence of learning motivation on organizational performance and innovative climate of Chinese firms. [PDF]

PLoS One
PLOS ONE Staff.
europepmc   +1 more source

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Learning motivation and self-assessment in health economics: a survey on overconfidence in healthcare providers. [PDF]

BMJ Open
Bushuven S, Bentele M, Trifunovic-Koenig M, Gerber B, Bentele S, Hagen F, Schoeffski O, Marung H, Strametz R.   +8 more
europepmc   +1 more source