Results 131 to 140 of about 249,105 (274)

Spatiotemporal Characterization of the Functional MRI Latency Structure with Respect to Neural Signaling and Brain Hierarchy

Advanced Science, EarlyView.
Resting‐state fMRI captures intrinsic brain activity, yet the physical significance of latency structures remains unclear. In this study, the spatiotemporal properties of fMRI‐derived latency structures are examined by linking them to biophysical model‐based neural functions, intrinsic neural timescales, and functional gradients.
Hyoungshin Choi, Yeongjun Park, Jong‐eun Lee, Sunghun Kim, Bo‐yong Park, Hyunjin Park   +5 more
wiley   +1 more source

Effect of nitrogen fertilization and seedling density on fine rice yield in Faisalabad, Pakistan

Soil & Environment, 2012
Rice seedlings density per hill and optimal nitrogen fertilization exercises a strong influence on rice growth and grain yield due to competitive effects both on the vegetative and reproductive development.
Ehsanullah, Khawar Jabran, Ghulam Asghar, Mubshar Hussain, Muhammad Rafiq   +2 more
doaj  

A Novel Transfer Learning‐Based Hybrid EEG‐fNIRS Brain‐Computer Interface for Intracerebral Hemorrhage Rehabilitation

Advanced Science, EarlyView.
The study has developed the first clinically validated hybrid EEG‐fNIRS brain‐computer interface fusion framework that systematically overcomes cross‐subject generalization barriers through a novel Wasserstein metric‐driven neural template selection mechanism.
Danyang Chen, Jian Shi, Bo Tao, Xingwei Zhao, Zhixian Zhao, Shengjie Li, Yeguang Xu, Tao Ding, Peng Zhang, Qing Ye, Kuiyou Chen, Zhuojin Wu, Yingxin Tang, Wei Jiang, Kai Shu, Li Huang, Zheng You, Ping Zhang, Zhouping Tang   +18 more
wiley   +1 more source

Memristive In‐Memory Object Detection with 128 Mb C‐Doped Ge2Sb2Te5 PCM Chip

Advanced Science, EarlyView.
A memristive in‐memory object detection system is presented for edge computing based on a 128 Mb phase change memory chip (40 nm, 99.99999 % yield) enabling in‐memory vector‐matrix multiplication and max computation. A novel mixed‐precision weight mapping reduces analog‐to‐digital‐converter energy by 22.3×.
Chenchen Xie, Yuqi Li, Longhao Yan, Sannian Song, Houpeng Chen, Ruijuan Qi, Xi Li, Yihang Zhu, Lianfeng Yu, Bonan Yan, Yaoyu Tao, Gaoming Feng, Yuchao Yang, Zhitang Song   +13 more
wiley   +1 more source

ZnO Quantum Dots@CsPbBr3 Poly‐Heterocrystalline Film Enables High‐Performance Floating‐Gate Transistor Arrays for Edge Computing

Advanced Science, EarlyView.
The ZnO QDs@CsPbBr3 poly‐heterocrystalline film, featuring a semi‐coherent interface, delivers high electrical conductivity and excellent photoelectric properties. Functioning as a floating gate in photosensitive transistors, it enables high hole storage at 1 V and achieves a conductivity ratio of ≈3.57×105.
Jiajun Xu, Bo Tong, Nian Dai, Tongjian Liu, Zhibo Liu, Dingdong Zhang, Yan Liang, Song Qiu, Lai‐Peng Ma, Jinhong Du   +9 more
wiley   +1 more source

Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes

Advanced Science, EarlyView.
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He, Yifan Du, Ziqi Fu, Youcun Zheng, Nils Muhlert, Barbara Sahakian, Rebecca Elliott   +6 more
wiley   +1 more source

Progress on the Attenuation Mechanism and Modification of the Cobalt‐Free Spinel LiNi0.5Mn1.5O4

Advanced Science, EarlyView.
This review provides an overview of the development history, working mechanisms, and scientific challenges of LiNi0.5Mn1.5O4 cathode materials for Lithium‐ion battery and discusses the strategies to improve the electrochemical performance of LiNi0.5Mn1.5O4.
Bao Zhang, Zhen Liang, Peng Dong, Weili Song, Yiyong Zhang, Xue Li, Xiaoyuan Zeng, Yongkang Liu, Ziliang Feng, Enfeng Zhang, Yingjie Zhang, Yannan Zhang   +11 more
wiley   +1 more source

Multi‐Dimensional Synergistic Engineering for Boosting Nanozyme Catalysis

Advanced Science, EarlyView.
This review systematically analyzes cutting‐edge strategies for boosting nanozyme catalysis through multi‐dimensional synergistic engineering, containing morphology, electronic structure modulation, external stimulation, and machine learning‐aided design.
Yuechun Li, Zhaowen Cui, Chenxin Ji, Cancan Jia, Wentao Zhang, Jianlong Wang, Yizhong Shen   +6 more
wiley   +1 more source

Enabling High‐Performance Electrode Materials for Potassium‐Ion Batteries: Ionic Transport, Size and Electro–Chemo–Mechanical Effects

Advanced Science, EarlyView.
Potassium‐ion battery is a promising candidate for large‐scale energy storage applications. In this review, transport properties, size effects, and electro–chemo–mechanical properties of electrodes are systematically summarized in order to achieve the rational design and controlled synthesis of potassium electrodes.
Changbao Zhu, Yanpeng Fu, Yong Yang
wiley   +1 more source

Scalable Lignin Monomer Production Via Machine Learning‐Guided Reductive Catalytic Fractionation of Lignocellulose

Advanced Science, EarlyView.
This study pioneers an integrated machine learning framework combining large‐scale data modeling, experimental validation, and impact analysis to optimize reductive catalytic fractionation for scalable, sustainable lignin monomer production. Abstract Efficient valorization of lignocellulosic biomass into high‐value lignin monomers is a cornerstone of ...
Meysam Madadi, Ehsan Kargaran, Seyed Sajad Hashemi, Chihe Sun, Joeri F.M. Denayer, Keikhosro Karimi, Fubao Sun, Vijai Kumar Gupta   +7 more
wiley   +1 more source