Results 171 to 180 of about 237,776 (294)

Initial Distance‐Dependent Mean Force Drives Synaptic Vesicle Motion Toward Fusion Sites in Stimulated Hippocampal Neurons

Advanced Science, EarlyView.
Synaptic vesicle (SV) motion and exocytosis dynamics in the presynaptic terminals of live neurons are intimately linked to synaptic transmission during neuronal activity. In this work, it is revealed that, during electrical stimulation, SVs located farther from their fusion sites exhibit greater straightness and experience larger mean forces directed ...
Gyunam Park, Ji‐Hyun Kim, Hunki Lee, Chungwon Park, Sidong Chen, Luke Bates, Jaeyoung Sung, Hyokeun Park   +7 more
wiley   +1 more source

<i>E. coli</i> chemosensing accuracy is not limited by stochastic molecule arrivals. [PDF]

Nat Phys
Mattingly HH, Kamino K, Ong J, Kottou R, Emonet T, Machta BB.   +5 more
europepmc   +1 more source

Identification and Characterization of an In Silico Designed Membrane‐Active Peptide with Antiviral Properties

Advanced Science, EarlyView.
An evolutionary molecular dynamics platform is used to design P1.6, a membrane‐active peptide that senses lipid packing defects in viral envelopes. P1.6 adopts a stabilized α‐helical structure upon membrane contact, disrupts virus‐like liposomes, and damages HIV‐1 particles.
Pascal von Maltitz, Niek van Hilten, Tatjana Weil, Thunchanok Thummaraj, Jeroen Methorst, Dennis Aschmann, Alexander Kros, Clarissa Read, Jasmina Gačanin, Herre Jelger Risselada, Jan Münch   +10 more
wiley   +1 more source

Structure and community assembly of rare bacterial community in sediments of Sancha Lake. [PDF]

Sci Rep
Li Y, Li Y, Wu Y, Liu Z, Luo S, Gong S.
europepmc   +1 more source

Harnessing Time‐Dependent Magnetic Texture Dynamics via Spin‐Orbit Torque for Physics‐Enhanced Neuromorphic Computing

Advanced Science, EarlyView.
A neuromorphic computing platform using spin‐orbit torque‐controlled magnetic textures is reported. The device implements bio‐inspired synaptic functions and achieves high performance in both pattern recognition (>93%) and combinatorial optimization (>95%), enabling unified processing of cognitive and optimization tasks.
Yifan Zhang, Yu Li, Huai Lin, Xinying Wang, Long Liu, Guoliang Xing, Di Wang, Zhihao Zhao, Zhipeng Guo, Junbo Yang, Jiebin Niu, Yan Sun, Tom Wu, Guozhong Xing   +13 more
wiley   +1 more source

Error-aware probabilistic training for memristive neural networks. [PDF]

Nat Commun
Liu J, Lu J, Tang S, Zhou R, Ma H, Lyu B, Tian Y, Shi T, Liu Q.   +8 more
europepmc   +1 more source

Recent Advances in Decoupling Strategies for Soft Sensors

Advanced Science, EarlyView.
This review provides an overview of recent advances in decoupling strategies for soft sensors. It summarizes single‐modal sensors that are insensitive to stretching, bending, crosstalk, and other environmental interferences, and highlights emerging multimodal decoupling methods enabled by spatiotemporal information and machine learning.
Yangbo Yuan, Wanqing Zhang, Jia‐Yu Yang, Manqi Peng, Huanyu Cheng   +4 more
wiley   +1 more source

Higher-Order Markov Model-Based Analysis of Reinforcement Learning in 6G Mobile Retrial Queueing Systems. [PDF]

Sensors (Basel)
Talbi D, Gal Z.
europepmc   +1 more source

Principles for Rigorous Design and Application of Synthetic Microbial Communities

Advanced Science, EarlyView.
SynComs are artificially designed to enable inter‐species metabolic interactions, metabolic division of labor, and ecological interactions that can elicit phenotypes like colonization stability and environmental adaptation. This systematic review explores the processes used to construct SynComs, the assessment of the mechanisms of metabolic interaction
Yuxiao Zhang, Minyu Jing, Lihui Lyu, Li Nie, Xihui Xu, Ru Sun, Xiyuan Xu, Siyu Chen, Shuobing He, Yumeng Zhang, Ping Huang, Weijie Luo, Jiaojiao Liang, Guifeng Gao, Kunkun Fan, Teng Yang, Liyan Zhang, Xiao Fu, Sarah M. Allard, Jack A. Gilbert, Jiabao Zhang, Haiyan Chu   +21 more
wiley   +1 more source

A practical approach to replenishment optimization with extended (R, s, Q) policy and probabilistic models. [PDF]

Sci Rep
Presbitero A, Syrén A, Dippel H, Awasthi L, Dev S, Nie Z.   +5 more
europepmc   +1 more source