Results 181 to 190 of about 103,878 (304)

Personalized Network‐Guided Neuromodulation Enhances Human Working Memory

Advanced Science, EarlyView.
A personalized neuromodulation framework combining individualized functional brain network targeting with real‐time neural decoding is introduced. Using concurrent TMS–fMRI, participant‐specific stimulation targets and optimal frequencies are identified. Only optimal‐frequency stimulation improves working memory across sessions.
Ahsan Khan, Hongming Li, Camille Blaine, Julie Grier, Ethan Hammett, Almaris Figueroa‐Gonzalez, Sarai Garcia, Romain Duprat, Justin Reber, Joseph Deluisi, Christos Davatzikos, Theodore D. Satterthwaite, Yong Fan, Desmond J. Oathes   +13 more
wiley   +1 more source

Developing Concepts for Neuroscience: A Philosophical Toolkit. [PDF]

Eur J Neurosci
Haueis P, Margulies DS.
europepmc   +1 more source

Hierarchically Soft Porous MOF‐Polymer Monolith for Fast and Large‐Scale Moisture Buffering

Advanced Science, EarlyView.
A soft, hierarchical porous monolith that combines metal–organic frameworks (MOFs) with a thermoresponsive polymer matrix enables rapid, large‐scale moisture buffering. The synergistic interface facilitates high‐capacity water capture and low‐energy release for sustainable indoor dehumidification.
Guangxin Ma, Xin Zhou, Weiman Li, Ken‐ichi Otake, Susumu Kitagawa, Xiaoze Wang, Mengjie Cao, Linfeng Nie, Ming‐Shui Yao, Yunfa Chen   +9 more
wiley   +1 more source

Conscious simultaneity with continuous motion: a measure-theoretic resolution of the hard problem. [PDF]

Front Hum Neurosci
Sanfey J.
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

THE PROBLEM OF URBAN HIERARCHY

Geographical Review of Japan, 1973
openaire   +3 more sources

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Review of the main developments in the analytic hierarchy process [PDF]

, 2011
Labib, Ashraf, Alessio Ishizaka, Ashraf Labib, Ishizaka, Alessio   +3 more
core   +1 more source

An analytic hierarchy process-based prioritization of psychological factors influencing academic performance among university students in China. [PDF]

Sci Rep
Xu X, Liu R, Serrano ED.
europepmc   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source