Results 41 to 50 of about 32,702 (254)

Polyphenol‐Inspired Materials for Agricultural Applications

Advanced Materials, EarlyView.
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu, Omid Mazaheri, Zhixing Lin, Tianzheng Wang, Jingqu Chen, Yuang Gu, Xia Liang, Deli Chen, Frank Caruso   +8 more
wiley   +1 more source

Compensating for Channel Fading in DS-CDMA Communication Systems Employing ICA Neural Network Detectors [PDF]

Journal of Systemics, Cybernetics and Informatics, 2005
In this paper we examine the impact of channel fading on the bit error rate of a DS-CDMA communication system. The system employs detectors that incorporate neural networks effecting methods of independent component analysis (ICA), subspace estimation of
David Overbye, Roland Priemer
doaj  

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source

On Use of Independent Component Analysis for Ocular Artifacts Reduction of Electroencephalogram and While Using Kurtosis as the Threshold [PDF]

International Journal Bioautomation, 2017
Brain electrical activity commonly represented by the Electroencephalogram (EEG), due to its miniscule amplitude (on the order of a hundred microvolts), is often contaminated with various artifacts.
Kazi Aminul Islam, Gleb Tcheslavski
doaj  

Independent component analysis for brain FMRI does indeed select for maximal independence. [PDF]

PLoS ONE, 2013
A recent paper by Daubechies et al. claims that two independent component analysis (ICA) algorithms, Infomax and FastICA, which are widely used for functional magnetic resonance imaging (fMRI) analysis, select for sparsity rather than independence.
Vince D Calhoun, Vamsi K Potluru, Ronald Phlypo, Rogers F Silva, Barak A Pearlmutter, Arvind Caprihan, Sergey M Plis, Tülay Adalı   +7 more
doaj   +1 more source

Phosphorylation‐Facilitated CKB Lactylation At K11 By GCN5 Enhances Creatine Kinase Activity and Mitigates Neuronal Damage After Cerebral Ischemia‐Reperfusion

Advanced Science, EarlyView.
This study uncovers hierarchical coordination between K11 lactylation and S199 phosphorylation of CKB in cerebral ischemia‐reperfusion injury. Such dual modifications potentiate CKB enzymatic function, remodel energy metabolism, alleviate oxidative stress and neuronal damage, and represent a viable therapeutic target for stroke treatment.
Chao Duan, Ruolin Zhang, Shihui Ding, Ying Feng, Tao Shen, Ziwei Wang, Wendai Bao, Ke Shui, Jun Qin, Jun Chen, Min Zhang, Zijing Ren, Dongmei Zhao, Xingrong Guo, Zhibing Ai, Xin Yang, Peiyang Zhou, Zhiqiang Dong   +17 more
wiley   +1 more source

Harmonic Source Localization Approach Based on Fast Kernel Entropy Optimization ICA and Minimum Conditional Entropy

Entropy, 2016
Based on the fast kernel entropy optimization independent component analysis and the minimum conditional entropy, this paper proposes a harmonic source localization method which aims at accurately estimating harmonic currents and identifying harmonic ...
Tianlei Zang, Zhengyou He, Ling Fu, Jing Chen, Qingquan Qian   +4 more
doaj   +1 more source

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

Single‐Cell Annotation and Localization via Integrating Spatial Transcriptomics Maps the Mouse Ocular Atlas and RAO Dynamics

Advanced Science, EarlyView.
We developed the ASCAL pipeline, integrating complementary spatial transcriptomics, to construct a high‐fidelity mouse whole‐eye single‐cell atlas. Applying ASCAL to a retinal artery occlusion (RAO) model revealed spatially restricted immune activation localized to the ganglion cell layer and the selective depletion of a translationally active, outer ...
Chen Du, Yinming Li, Ziyue Li, Yuedan Wang, Shaopeng Li, Yijie Wang, Yingying Qu, Bingyang Lv, Ying Li, Ting Chen, Yu Zhou, Xuan Xiao   +11 more
wiley   +1 more source

Intrinsically Mitochondria‐Targeting Nanozyme via Coordination‐Assembly of Natural Quercetin for Cascade Antioxidant Therapy of Cerebral Ischemia‐Reperfusion Injury

Advanced Science, EarlyView.
This study uncovers that quercetin naturally targets mitochondria. By coordinating quercetin with Fe3+, we engineer an ultrasmall cascade nanozyme (MCN) with superoxide dismutase‐catalase activities. MCN crosses the damaged blood–brain barrier, scavenges mitochondrial ROS, prevents mitochondrial DNA leakage, and blocks the cGAS‐STING pathway, thereby ...
Wenxuan Zheng, Zhicheng Wang, Xin Zhou, Shuya Wang, Xiaojing Shi, Tingli Xiong, Ruishi Li, Yuting Lin, Zhen Chen, Jiawen Wei, Fei Li, Jinwen Ge, Kelong Ai, Chong Liu, Guiming Deng   +14 more
wiley   +1 more source