Results 191 to 200 of about 15,174,398 (300)

Prevalence of Digital Eye Strain Symptoms Among Sudanese Medical Students During Conflict-Induced Online Learning: A Cross-Sectional Study. [PDF]

Health Sci Rep
Gasmalha MEA, Hussein IAM, Abdalla OZE, Mohammed BAA, Ahmed SHM, Abdalla AZE, Almatri SIA, Hassan AMM, Mohamed AHA, Fadlelmoula YAY, Abdulrahman MSA, Ahmed SMM.   +11 more
europepmc   +1 more source

A Critical Time Window of Neocortex Modulation for Remote Fear Memory in Rats and Humans

Advanced Science, EarlyView.
This study identifies a delayed consolidation window around 18 h after fear learning in the mPFC essential for remote fear memory. VTA dopaminergic input during this window sustains remote memory in rats, while non‐invasive stimulation of homologous human mPFC at the corresponding time selectively weakens remote but not recent fear memory, revealing a ...
Lu Cao, Yu‐Xin Zhang, Xiao‐Xing Liu, Zi‐Hang Li, Tang‐Sheng Lu, Jia‐Hui Deng, Wen Zhang, Peng Li, Xiao Lin, Shu‐Fei Feng, Ting‐Ting Li, Shi‐Qiu Meng, Xiang‐Dong Tang, Tian‐Ye Jia, Trevor W. Robbins, Jie Shi, Ying Han, Yan‐Xue Xue, Lin Lu, Kai Yuan   +19 more
wiley   +1 more source

Strengthening capacity for pandemic preparedness among health care professionals through interdisciplinary online learning: a participatory mixed-methods evaluation. [PDF]

Front Public Health
Ibeto M, Tahir IM, Danmallam M, Kamau B, Mtaki V, Zulu PM, Tusabe F, Wangai H, Waya C, Clery E, Fide-Nwaogu C, Wild J, Haque F, Nzegwu F.   +13 more
europepmc   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

Exploring the causes of learning burnout in online learning among master's students: a Q-methodology study. [PDF]

Front Psychol
Zuo S, Li Y, Li J, Zhu X, Liu N, Wang JB.   +5 more
europepmc   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

L2 Willingness to Communicate in the Context of Online Learning Environments: A Systematic Review. [PDF]

Behav Sci (Basel)
Wang F, Yu X, Pan X.
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Retraction Note: Online learning challenges in Thailand and strategies to overcome the challenges from the students' perspectives. [PDF]

Educ Inf Technol (Dordr)
Aroonsrimarakot S, Laiphrakpam M, Chathiphot P, Saengsai P, Prasri S.   +4 more
europepmc   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source