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  1. 141

    Performance optimization solutions for NFV data plane by Yukai HUANG, Jinkun GENG, Ruilin LING, Dan LI

    Published 2017-04-01
    “…In recent years,network function virtualization (NFV) is arousing concern widely from both academia and industry due to its flexible deployment and low cost.However,the performance bottleneck becomes increasingly distinctive and hinders the progress of NFV technology.The major factors were studied which could seriously affect the performance of NFV data plane.Firstly,an analysis was conducted on the causes for various kinds of performance overheads.Then,the optimization solutions were summarized to mitigate these overheads.Finally,a brief introduction was made on two types of architecture,which could significantly improve the performance of NFV data plane.…”
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  2. 142

    Conduction velocity, G-ratio, and extracellular water as microstructural characteristics of autism spectrum disorder. by Benjamin T Newman, Zachary Jacokes, Siva Venkadesh, Sara J Webb, Natalia M Kleinhans, James C McPartland, T Jason Druzgal, Kevin A Pelphrey, John Darrell Van Horn, GENDAAR Research Consortium

    Published 2024-01-01
    “…We conclude that ASD may be characterized by otherwise intact structural connectivity but that functional connectivity may be attenuated by network properties affecting neural transmission speed. …”
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  3. 143

    A METHOD FOR INVESTIGATING MACHINE LEARNING ATTACKS ON ARBITER-TYPE PHYSICALLY UNCLONABLE FUNCTIONS by Yuri A. Korotaev

    Published 2025-02-01
    “…This approach allows for a preliminary evaluation of the effectiveness of different algorithms for attacking APUFs without access to challenge-response datasets from real instances of physically unclonable functions. Attacks were conducted on models of basic and modified variants of APUFs from the open-source library "pypuf", using classical logistic regression and artificial neural networks (ANNs). …”
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  4. 144
  5. 145

    Recent Advances in Liquid Metal-Based Stretchable and Conductive Composites for Wearable Sensor Applications by Boo Young Kim, Wan Yusmawati Wan Yusoff, Paolo Matteini, Peter Baumli, Byungil Hwang

    Published 2025-07-01
    “…These systems offer enhanced electrical and mechanical properties and can form conductive networks without the need for additional sintering processes. …”
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    Article
  6. 146

    Assessment of Bucharest Metro Expansion and Its Correlation with the Territorial System by Vasile Dragu, Floriana Cristina Oprea, Eugenia Alina Roman

    Published 2025-04-01
    “…The research methodology consisted of conducting a topological analysis of the graph representing the metro network, along with a functional analysis. …”
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    Article
  7. 147

    Altered static and dynamic functional connectivity in major depressive disorder accompanied by high anxiety: evidence from the REST-meta-MDD consortium by Lujun Li, Zhijun Zeng, Yaling Zhou, Jinfei Lin, Jiayuan Li

    Published 2025-06-01
    “…Large-scale static and dynamic functional connectivity analyses were conducted to identify specific brain connectivity distinguishing MDD with low and high anxiety symptoms.ResultsWhile MDD patients with high and low anxiety symptoms exhibit overlapping alterations in dynamic functional connectivity between the auditory cortex and nodes of the salience network, their distinct clinical profiles may be associated with differential functional connectivity patterns between the components of the default mode network (DMN) and the visual network (VN), as well as between the components of the basal ganglia network (BGN) and VN.ConclusionThe VN–DMN–BGN functional circuit may help elucidate the underlying pathological mechanisms associated with varying levels of anxiety in depressive disorders. …”
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  8. 148

    Facile construction of polyoxometalate-modified polyaryletherketone-based hybrid membranes with enhanced proton conductivity by Bo Hu, Qiuchen Du, Yang Yang, Dengdeng Li, Jiawang Fu, Bailing Liu, Hong-Ying Zang, Yangguang Li, Haiming Xie, Zhongmin Su

    Published 2025-03-01
    “…Polyoxometalates (POMs), a type of solid-state nanoclusters, possess high proton conductivity and good structural stability, making them suitable functional inorganic fillers to improve the performance of PEMs. …”
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  9. 149
  10. 150

    Learning Constitutive Relations From Soil Moisture Data via Physically Constrained Neural Networks by Toshiyuki Bandai, Teamrat A. Ghezzehei, Peishi Jiang, Patrick Kidger, Xingyuan Chen, Carl I. Steefel

    Published 2024-07-01
    “…Abstract The constitutive relations of the Richardson‐Richards equation encode the macroscopic properties of soil water retention and conductivity. These soil hydraulic functions are commonly represented by models with a handful of parameters. …”
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  11. 151

    A merged fuzzy system and neural network for improving management method and strategy in scientific research and education by Wentao Kang

    Published 2025-07-01
    “…Besides, improved activation functions and a novel management method were implemented in the education field, utilizing classification learners of neural network structures. …”
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    Article
  12. 152

    Adaptive Nonlinear Proportional–Integral–Derivative Control of a Continuous Stirred Tank Reactor Process Using a Radial Basis Function Neural Network by Joo-Yeon Lee, Gang-Gyoo Jin, Gun-Baek So

    Published 2025-07-01
    “…The nonlinear gain that dynamically scales the error fed to the integrator is enhanced for optimized performance. The network’s ability to approximate nonlinear functions and its online learning capabilities are leveraged by effectively integrating an NPID control scheme with a radial basis function neural network (RBFNN). …”
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  13. 153

    Sleep habits, brain functional networks, and type 2 diabetes risk: cohort studies from North American and Asian populations and mediating Mendelian randomization analyses by Faquan Hu, Qian Gong, Liyuan Xiong, Wei Zhao, Lingxiu Li, Yujiao Zheng

    Published 2025-06-01
    “…Abstract Background Brain resting-state functional networks and sleep habits are associated with Type 2 diabetes mellitus (T2DM). …”
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  14. 154

    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
    “…Functional connectivity (FC) is a widely used indicator of brain function in health and disease, yet its neurobiological underpinnings still need to be firmly established. …”
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  15. 155
  16. 156

    Optimizing GNN Architectures Through Nonlinear Activation Functions for Potent Molecular Property Prediction by Areen Rasool, Jamshaid Ul Rahman, Quaid Iqbal

    Published 2024-10-01
    “…Recently, Graph Neural Networks (GNNs) have emerged as powerful tools for this purpose, demonstrating significant potential in modeling molecular data. …”
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  17. 157

    Sensitivity Analysis of Distribution Network Reconfiguration Optimization for Electric Vehicle and Renewable Distributed Generator Integration by Mahmoud Ghofrani

    Published 2025-04-01
    “…Distribution networks have faced significant efficiency and reliability challenges, balancing the recent integration of electric vehicles (EVs) and renewable distributed generators (DGs). …”
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  18. 158
  19. 159

    Unraveling yield heterosis in Chinese cabbage hybrid by comparative transcriptomic analysis and LHCB1 gene function analysis by Ruihua Wang, Min Han, Taili Han, Ligong Xu, Yuanyuan Li

    Published 2025-07-01
    “…The weighted gene coexpression network analysis and virus-induced gene silencing technology were employed to assess the key gene function in yield advantage formation of the Chinese cabbage hybrid.ResultsIn total, 3652 and 2768 genes were differentially expressed between the Chinese cabbage hybrid and its parents in the rosette and mature stages, respectively. …”
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  20. 160