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  1. 81

    The reliably stable neural network controllers' synthesis with the transient process parameters optimization by Serhii Vladov, Anatoliy Sachenko, Victoria Vysotska, Yevhen Volkanin, Dmytro Kukharenko, Danylo Severynenko

    Published 2024-11-01
    “…The tasks to be solved are: study the stability of a closed-loop control system with a neural network controller, train the neurocontroller and Lyapunov neural network function, create an optimization model for the loss function minimization, and conduct a computational experiment as an example of the neural network stabilizing controller synthesis. …”
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  2. 82

    Alterations of the default mode network, salience network, and frontoparietal network in non-problematic Internet use and their association with mood regulation: from an internet l... by Mami Shibata, Kosuke Tsurumi, Kei Kobayashi, Sayaka Yoshimura, Sayaka Yoshimura, Sayaka Yoshimura, Michael Spantios, Naoya Oishi, Toshiya Murai, Hironobu Fujiwara, Hironobu Fujiwara, Hironobu Fujiwara

    Published 2025-07-01
    “…IntroductionAlthough a number of neuroimaging studies on problematic internet use (PIU) have been conducted, few studies on non-problematic internet use (non-PIU) are available; therefore, the influences of non-PIU on brain function are unclear. …”
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  3. 83

    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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  4. 84

    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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  5. 85

    Exploring the impact of APOE ɛ4 on functional connectivity in Alzheimer’s disease across cognitive impairment levels by Kangli Dong, Wei Liang, Ting Hou, Zhijie Lu, Yixuan Hao, Chenrui Li, Yue Qiu, Nan Kong, Yan Cheng, Yaqi Wen, Wanyin Ma, Wenbin Zheng, Jitian Guan, Yan Lin, Kai Huang, Lu Zhang, Siya Chen, Xiangyuan Ma, Renhua Wu, Naili Wei

    Published 2025-01-01
    “…Studies have shown that APOE ɛ4 mediates the modulation of intrinsic functional brain networks in cognitively normal individuals and significantly disrupts the whole-brain topological structure in AD patients. …”
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  6. 86

    Brain functional alternation in patients with systemic sclerosis: a resting-state functional magnetic resonance imaging study by Xinyu Tong, Huilin He, Shihan Xu, Rui Shen, Zihan Ning, Xiaofeng Zeng, Qian Wang, Dong Xu, Zuo-Xiang He, Xihai Zhao

    Published 2024-11-01
    “…Functional integration analysis was conducted using group independent component analysis to calculate intra-network and inter-network functional connectivity (FC). …”
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    Article
  7. 87

    The Impact of Chronic Pain on Cognitive Function by Milan Patel, Jamal Hasoon, Rodrigo Diez Tafur, Giuliano Lo Bianco, Alaa Abd-Elsayed

    Published 2025-05-01
    “…Sources included large-scale cohort studies, functional MRI analyses, and neurobiological investigations focusing on prefrontal cortex activity, default mode network alterations, and gray matter atrophy. …”
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  8. 88

    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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    Article
  9. 89

    Pilot functional magnetic resonance imaging study of clemastine‐aided functional recovery on a mouse model of demyelination by Ander Egimendia, Irati L. de laPisa, Daniel Padro, Lorena Colás, Sandra Plaza‐García, David Otaegui, Pedro Ramos‐Cabrer

    Published 2025-03-01
    “…Anatomical magnetic resonance imaging (T2w‐MRI) and resting state functional MRI (rs‐FMRI) studies were conducted on weeks W0, W2, W5 (maximal demyelination) W7 and W10 (remyelination). …”
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  10. 90

    How Does the Scale and Functional Diversity of the Innovation Cooperation Network Affect Local Innovation? Township-Level Evidence from Beijing by Jingxin Nie, Tiantian Li, Tianming Zheng

    Published 2025-05-01
    “…Research highlights the role of scale and functional diversity in the ICN. It emphasizes that local governments need to conduct more precise management and adjustments in light of the heterogeneity of network connections in different scales and sectors within the ICN, in order to boost local innovation and foster regional development.…”
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  11. 91

    Effects of exercise modalities on physical function and quality of life in patients with heart failure: A systematic review and network meta‐analysis by Jiang‐Ying Li, Lu Chen, Qiu‐Chen Wang, Jian Zhu, Zhen‐Qing Ren, Li‐Chun Wang

    Published 2025-08-01
    “…Methods and results A network meta‐analysis was conducted by searching PubMed, Embase and the Cochrane Library databases. …”
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  12. 92

    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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  13. 93

    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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  14. 94

    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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    Article
  15. 95

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

    Published 2024-10-01
    “…Despite advancements in GNN predictive performance, existing methods lack clarity on how architectural choices, particularly activation functions, affect training dynamics and inference stages in interpreting the predicted results. …”
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    Article
  16. 96

    Clinical efficacy and regulatory mechanisms of Shi Pi Zeng Ye formula in treating functional constipation comorbid with depression: integrating clinical observation, mass spectrome... by Ling Yao, Xiaoqiang Jia, Yufei Li, Haixia Li, Zhuhui Zhang, Longfang Quan, Qiuling Liu, Jie Dai, Xuedi Lei, Huashang Li, Yonghai Li

    Published 2025-08-01
    “…Ethnopharmacological relevanceThe Shi Pi Zeng Ye Formula (SPZY), a traditional Chinese herbal compound, is empirically used for qi and yin replenishment and has been prescribed for managing functional constipation (FC) comorbid with depression. …”
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    Article
  17. 97

    Design and analysis of intelligent service chain system for network security resource pool by Zenan WANG, Jiahao LI, Chaohong TAN, Dechang PI

    Published 2022-08-01
    “…The traditional network security architecture ensures network security by directing traffic through hardware based network security function devices.Since the architecture consists of fixed hardware devices, it leads to a single form of network security area deployment and poor scalability.Besides, the architecture cannot be flexibly adjusted when facing network security events, making it difficult to meet the security needs of future networks.The intelligent service chain system for network security resource pool was based on software-defined network and network function virtualization technologies, which can effectively solve the above problems.Network security functions of virtual form were added based on network function virtualization technology, combined with the existing hardware network elements to build a network security resource pool.In addition, the switching equipment connected to the network security elements can be flexibly controlled based on software-defined network technology.Then a dynamically adjustable network security service chain was built.Network security events were detected based on security log detection and a expert library consisting of security rules.This enabled dynamic and intelligent regulation of the service chain by means of centralized control in the face of network security events.The deployment process of the service chain was mathematically modeled and a heuristic algorithm was designed to realize the optimal deployment of the service chain.By building a prototype system and conducting experiments, the results show that the designed system can detect security events in seconds and automatically adjust the security service chain in minutes when facing security events, and the designed heuristic algorithm can reduce the occupation of virtual resources by 65%.The proposed system is expected to be applied to the network security area at the exit of the campus and data center network, simplifying the operation and maintenance of this area and improving the deployment flexibility of this area.…”
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  18. 98
  19. 99

    Efficacy of psychosocial interventions on social functioning in individuals with childhood maltreatment experiences: a protocol for a systematic review and network meta-analysis by Natalia E. Fares-Otero, Silvia Amoretti, Brisa Solé, Sarah L. Halligan, Eduard Vieta, Stefan Leucht, Soraya Seedat, Mathias Harrer

    Published 2025-12-01
    “…Background: Several psychosocial interventions have shown promising effects in treating people affected by childhood maltreatment (CM); however, their comparative efficacy on social functioning remains largely unknown. To address this issue, a systematic review and network meta-analysis (NMA) will be conducted to investigate the comparative efficacy of different psychosocial interventions on global social functioning and specific domains of social functioning, including behavioural, emotional, cognitive and physiological processes. …”
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  20. 100

    Desensitized Financial Data Generation Based on Generative Adversarial Network and Differential Privacy by Fan Zhang, Luyao Wang, Xinhong Zhang

    Published 2025-02-01
    “…This paper proposes a Noise Visibility Function-Differential Privacy Generative Adversarial Network (NVF-DPGAN) model, which generates privacy preserving data similar to the original data, and can be applied to data augmentation for deep learning. …”
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