Results 251 to 260 of about 7,339,380 (346)

Radiation Resilient Synthetic Antiferromagnets‐Based Neuromorphic Device for Sea Surface Temperature Reconstruction

Advanced Science, EarlyView.
By leveraging strong antiferromagnetic coupling, radiation‐tolerant synthetic antiferromagnetic synaptic devices are developed. Their intrinsic nonlinearity emulates neuronal activation, while linear and symmetric conductance modulation mimics synaptic plasticity.
Mingxu Song, Jiahao Liu, Ruisheng Hu, Teng Xu, Aihua Tang, Zhihong Zhu   +5 more
wiley   +1 more source

Anisotropic Memristive Switching in NbOCl2 Enabled by Directional Oxygen Ion Migration

Advanced Science, EarlyView.
This study investigates strongly orientation‐dependent memristive switching in anisotropic NbOCl2, observed exclusively along the in‐plane c‐axis. The switching originates from direction‐selective oxygen‐ion migration and vacancy propagation that modulate the Pd/NbOCl2 Schottky barrier, enabling short‐term plasticity.
Caokun Wang, Yun Ji, Sanchali Mitra, Yufei Shi, Haofei Zheng, Yee Sin Ang, Kah‐Wee Ang   +6 more
wiley   +1 more source

Correction: Kang et al. (2024). The Development and Application of an Intelligent Assessment and Strategy Implementation System for Non-Intellectual Factors in Mathematics Learning Among Senior High School Students. <i>Journal of Intelligence</i> 12: 126. [PDF]

J Intell
Kang Y, Wang G, Liu L, Liu J, Gao Q.
europepmc   +1 more source

Learning experiences: Connecting A-level mathematics with mathematics used in the real world via machine learning

One of the aims of the current Advanced Level H2 Mathematics Syllabus in Singapore is for students to connect ideas within mathematics and apply mathematics in the contexts of sciences, engineering and other related disciplines.
Quek, Joel Zhu Hui, Ho, Weng Kin
core  

A Generative Neuro‐Symbolic AI for Protein Sequence Design

Advanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne, Delphine Dessaux, Samuel Buchet, Lucie Barthe, Liza Ammar‐Khodja, Bessam Azizi, Valentin Durante, Gianluca Cioci, Simon de Givry, Alain Roussel, Luis F. Garcia‐Alles, Thomas Schiex, Sophie Barbe   +12 more
wiley   +1 more source

EXPLORING CULTURALLY RESPONSIVE MATHEMATICS LEARNING STYLES IN RURAL EARLY CHILDHOOD DEVELOPMENT CENTRES: A CASE STUDY OF OR TAMBO INLAND DISTRICT, SOUTH AFRICA

Neliswa Gqoli
openalex   +2 more sources

Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency

Advanced Science, EarlyView.
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun, Xuewei Gu, Yulin Jie, Hao Yang, Shuhong Jiao, Chao Tang, Yangping Sheng, Yuhao Lu, Ruiguo Cao, Tao Cheng   +9 more
wiley   +1 more source

IMPLEMENTATION OF IMMERSIVE VIRTUAL REALITY FOR MATHEMATICS AND SCIENCE LEARNING IN PRIMARY AND SECONDARY EDUCATION

Guillermo Rodríguez López, Mayra Alejandra Tigre Sánchez, Luis Stalin Jara Obregón, Marcos Giovanny Orellana Parra, Marco Antonio Pérez Vaca, Keyla Fernanda Fernández Pulgarin, Wilfrido Damián Rodríguez Quinteros, Cristian Alfonso Toledo Vásquez   +7 more
openalex   +2 more sources

Multiscale Coupling From Mastication to Retronasal Aroma Perception: The PG‐DTCFN Model and Multiphysics Simulation

Advanced Science, EarlyView.
Using grilled lamb skewers as a model system, this work builds a multiscale coupling framework from oral processing to retronasal aroma perception, reveals dual‐kinetic release patterns and Electroencephalogram‐characterized central encoding features, and proposes an interpretable physics‐guided deep learning model validated by multiphysics simulation,
Che Shen, Xiongfeng He, Zihao Li, Zidong Chen, Jiajin Sun, Xinyu Jiang, Yunhui Zhang, Lizhang Wu, Ran Wang, Jingnan Lu, Bo Wang, Kezhou Cai, Baocai Xu   +12 more
wiley   +1 more source

Technology-Based Mathematics Learning Management and Its Role in Enhancing Elementary Students’ Learning Motivation: A Descriptive Study

Ani Nurbaini, Nana Herdiana Abdurrahman
openalex   +2 more sources