Showing 1 - 20 results of 673 for search 'dynamic function network (conductivity OR productivity)', query time: 0.21s Refine Results
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    Effective connectivity analysis of response inhibition functional network by Monica Di Giuliano, Andy Schumann, Feliberto de la Cruz, Pedro Henrique Rodrigues Da Silva, Karl-Jürgen Bär

    Published 2025-04-01
    “…We conducted a Go-NoGo fMRI task with 19 healthy participants to investigate these networks.ResultsOur results identified four functional networks activated during correct motor response inhibition: the salience network (SN), the right and left executive control networks (ECNs), and the ventral default mode network (vDMN). …”
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    Constructing network enterprise structure to create innovative products by Yu. F. Telnov, V. M. Trembach, A. V. Danilov, E. V. Yaroshenko, V. A. Kazakov, O. A. Kozlova

    Published 2019-12-01
    “…The novelty of the presented algorithm for the formation of the structure of a network enterprise lies in the combined application of the QFD and FMEA methods, as well as in the iteration of modeling the structure of an innovative product from the position of the best implementation of quality value characteristics and functional requirements.Conclusions, prospects. …”
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    Adaptive Broadcast Scheme with Fuzzy Logic and Reinforcement Learning Dynamic Membership Functions in Mobile Ad Hoc Networks by Akobir Ismatov, BeomKyu Suh, Jian Kim, YongBeom Park, Ki-Il Kim

    Published 2025-07-01
    “…The first approach (Model A) dynamically adjusts membership functions based on changing network parameters and fine-tunes the broadcast (BC) versus do-not-broadcast (DNB) ratio. …”
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    Change Control Design in Product Supply Chain System Based on Radial Basis Function Neural Network by Danhui Liu, Qing-kui Li

    Published 2025-02-01
    “…In this paper, we explore the use of artificial intelligence (AI) to enhance the analysis and control of complex product supply chain systems. We design a radial basis function neural network (RBFNN) to address Denial of Service (DoS) attacks. …”
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    Text-related functionality and dynamics of visual human pre-frontal activations revealed through neural network convergence by Adva Shoham, Rotem Broday-Dvir, Itay Yaron, Galit Yovel, Rafael Malach

    Published 2025-07-01
    “…The results point to a dynamic text-related function of prefrontal cortex during visual memorization in the human brain.…”
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    Neural Correlates of Flight Acceleration in Pigeons: Gamma-Band Activity and Local Functional Network Dynamics in the AId Region by Suchen Li, Zhuo Tang, Mengmeng Li, Lifang Yang, Zhigang Shang

    Published 2025-06-01
    “…In parallel, local functional network analysis showed that the clustering coefficient of gamma-band activity in the AId followed a nonlinear, U-shaped relationship with flight acceleration—exhibiting the strongest and most widespread connectivity during deceleration, moderate connectivity during acceleration, and the weakest network coupling during steady flight. …”
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    DYNAMIC METHOD OF LOAD BALANCING OF DATA CENTERS TAKING INTO ACCOUNT THE FRACTAL PROPERTIES OF NETWORK TRAFFIC by G. I. Linets, N. Y. Bratchenko, V. P. Mochalov, I. S. Palkanov

    Published 2022-08-01
    “…The dynamic method is based on the results of statistical analysis of incoming traffic, its distribution density, autocorrelation function, spectral density, and the level of fractality. …”
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    Computational modelling reveals neurobiological contributions to static and dynamic functional connectivity patterns by Linnea Hoheisel, Linnea Hoheisel, Hannah Hacker, Gereon R Fink, Gereon R Fink, Silvia Daun, Silvia Daun, Joseph Kambeitz, Joseph Kambeitz

    Published 2025-07-01
    “…Recent advances in computational modelling allow us to investigate the relationship of both static FC (sFC) and dynamic FC (dFC) with neurobiology non-invasively.In this study, we modelled the brain activity of 200 healthy individuals based on empirical resting-state functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI) data. …”
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    Acupuncture Alters Brain’s Dynamic Functional Network Connectivity in Stroke Patients with Motor Dysfunction: A Randomised Controlled Neuroimaging Trial by Yahui Wang, Mengxin Lu, Ruoyi Liu, Liping Wang, Yue Wang, Lingling Xu, Kang Wu, Chen Chen, Tianzhu Chen, Xinyue Shi, Kuangshi Li, Yihuai Zou

    Published 2023-01-01
    “…But its effect on dynamic brain networks remains unclear. This study is aimed at investigating how acupuncture affected the brain’s dynamic functional network connectivity (dFNC) after ischemic stroke. …”
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    Injectable ion-coordinated double-network conductive hydrogel for spinal cord injury repair by Huan Yu, Fan Liu, Yaorui Hu, Yaorui Hu, Yaorui Hu, Weikang Wan, Weikang Wan, Weikang Wan, Qing Liu, Qing Liu, Qing Liu, Shuai Zhou, Luping Zhang, Liming Li, Fei Huang

    Published 2025-06-01
    “…This study developed and created an injectable double-network conductive hydrogel, it coordinates iron ions (Fe3+) using dynamic Schiff base bonds and metal ion coordination. …”
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    Network structure influences self-organized criticality in neural networks with dynamical synapses by Yoshiki A. Sugimoto, Hiroshi Yadohisa, Masato S. Abe, Masato S. Abe, Masato S. Abe

    Published 2025-06-01
    “…In this study, we conducted numerical simulations using a simplified neural network model to investigate how network structure may influence SOC. …”
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    Exploring dopant‐enhanced ionic conductivity of AgCl‐doped Li7P3S11 solid electrolytes: Integrating synchrotron Rietveld analysis, DFT, and ANN‐based molecular dynamics approaches... by Yong‐Seok Choi, Youngin Lee, Hyuna Ahn, Jiwon Jeong, Kyung Yoon Chung, David O. Scanlon, Jae‐Chul Lee

    Published 2024-11-01
    “…Synthesis and electrochemical characterizations show that the 0.2 M AgCl‐doped LPS (Li6.8P3Ag0.1S10.9Cl0.1) exhibited an over 80% improvement in ionic conductivity compared with the undoped LPS. The atomic‐level structures responsible for the enhanced conductivity were generated by a set of experiment and simulation techniques: synchrotron X‐ray diffractometry, Rietveld refinement, density functional theory, and artificial neural network‐based molecular dynamics simulations. …”
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