Results 111 to 120 of about 60,736 (256)

SIRT6‐Mediated Deacetylation of ATF3 Promotes Silica‐Induced Lung Fibrosis by Enhancing its Nuclear Import via Binding to Importin α

Advanced Science, EarlyView.
SIRT6‐mediated ATF3 acetylation drives MGARP transcription and mitochondrial dysfunction in macrophages, promoting macrophage senescence and pulmonary fibrosis. Mechanistically, HSP70/Importin α competitively binds to ATF3, modulating its nuclear translocation.
Demin Cheng, Wenxia Bu, Fengxu Wang, Yueyuan Jin, Rongzhu Liu, Rui Zhao, Xuehai Wang, Mengna Jiang, Jinping Shen, Xinhang Cheng, Zuming Chen, Li Zhu, Jinlong Li, Zhenzhong Ge, Shichen Miao, Haotian Xu, Xiaoyu Zhou, Dongming Wang, Xinyuan Zhao   +18 more
wiley   +1 more source

Virtual Learning Environments

, 2002
Is the concept of 'virtual learning environment' just a popular label to describe any educational software? No, the concept includes several interesting features that justify the use of a specific label. We review these features in the first part of our contribution. Do these features guarantee pedagogical effects?
Dillenbourg, Pierre, Schneider, Daniel, Synteta, Paraskevi   +2 more
openaire   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces

Advanced Science, EarlyView.
System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee, Hyun Bin Kim, Sang Uk Park, Janghoon Joo, Jinhong Min, Geumbee Lee, Joohoon Kang, Hyoyoung Jeong, Jae‐Young Yoo, Sang Min Won   +9 more
wiley   +1 more source

Editorial: Virtual learning environments in educational institutions

Frontiers in Virtual Reality, 2023
Tien-Chi Huang, Maria Limniou, Wen-Chi Vivian Wu   +2 more
doaj   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source

Explaining the Role of Medical Teachers in Electronic Learning Environments: Qualitative Content Analysis [PDF]

Pizhūhish dar Āmūzish-i ̒ulūm-i Pizishkī
Introduction: Electronic learning environments are used by most medical schools in the world. In designing any electronic learning environment, components such as learner characteristics, teacher's role, curriculum approach, teaching-learning process ...
Gholamreza Abdolahzadeh Estakhry, Kamran Mohamadkhani, Parivash Jaafari, Nadergholi Gourchian   +3 more
doaj  

Construction of Sabatier Volcanoes for CO2 Hydrogenation to C1‐2 Oxygenates Using Data‐Efficient Machine Learning

Advanced Science, EarlyView.
A new data‐efficient framework combining DFT calculations, a neural network model, and automated graph analysis of catalytic reaction networks is proposed and applied to CO2 hydrogenation on transition metal nanoparticles. The analysis shows how efficient C2 oxygenate production requires a balance between CHx formation, C–C coupling, protonation, and ...
Mikhail V. Polynski, Sergey M. Kozlov
wiley   +1 more source

Machine Learning‐Assisted KCl‐CaCl2‐LiCl Electrolyte Design for Low‐Temperature, High‐Performance Calcium‐Based Liquid Metal Batteries

Advanced Science, EarlyView.
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou, Lei Huang, Yan Zhou, Xiaohui Ning   +3 more
wiley   +1 more source