The Use of Neural Networks in Distance Education Technologies for the Identification of Students by O. A. Kozlova, A. A. Protasova

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Network localization of regional homogeneity alterations in Parkinson’s disease by Yuanying Song, Hucheng Yang, Hucheng Yang, Siyu Gu, Yingling Zhu, ZhenYu Dai, Pinglei Pan, Xianxian Zhang

“…Functional Connectivity Network Mapping (FCNM) offers an approach to test this hypothesis.MethodsWe conducted a systematic literature search (PubMed, Embase, Web of Science, CNKI, and Wanfang) for studies reporting whole-brain ReHo differences (PD vs. healthy controls). …”
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Cellulose Functional Gels: Physical Design and Promising Applications by Minxin Wang, Geyuan Jiang, Xiaoyu Guo, Suqing Zeng, Dawei Zhao

“…Additionally, structural design and self‐assembly of cellulose at the molecular level can endow cellulose gels with diverse functions, such as stretchability, high toughness, ionic conductivity, and self‐healing ability. …”
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Optimal exercise interventions for enhancing cognitive function in older adults: a network meta-analysis by Han Han, Jinhao Zhang, Fan Zhang, Fanghui Li, Zhijian Wu

“…A network meta-analysis assessed the relative effects of each exercise modality on global cognition, executive function (including inhibitory control, task-switching ability, and working memory), and memory function. …”
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Retracted: Function Matching of Terminal Modules of Intelligent Furniture for Elderly Based on Wireless Sensor Network by Chengmin Zhou, Xin Luo, Ting Huang, Tao Zhou

“…Therefore, it is very necessary to actively carry out research on the function matching of smart adaptable furniture terminal modules based on wireless sensor networks. …”
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Discussion on the Function and Interface Schemes for Interlocking System of Multi-level Railway Network Junction Station by ZHANG Minhui, WU Ruhan, LIU Huaxiang, SONG Rui

“…In order to meet the new demands of multi-network interoperation, it is necessary to conduct in-depth research and propose interlocking functions and interface configuration solutions for junction stations. …”
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Aberrant resting-state functional network centrality and cognitive impairment in unmedicated, euthymic bipolar patients by Hong Li, Qijin Wu, Jiahui Wang, Xiaobin Zhang, Huihui Song, Dong Wang

“…Additionally, we identified intranetwork and internetwork functional connectivity alterations in the default mode network (DMN), fronto-parietal network (FPN), and central executive network (CEN) in euthymic BD patients compared to HC. …”
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Cardiovascular risk factors are associated with lower posterior-medial network functional connectivity in older adults by Léa Chauveau, Julie Gonneaud, Géraldine Poisnel, Brigitte Landeau, Antoine Garnier-Crussard, Anne-Lise Pitel, Daniel Roquet, Edelweiss Touron, Sacha Haudry, Florence Mezenge, Anne Chocat, Denis Vivien, Vincent de La Sayette, Gaël Chételat, Robin de Flores, for the Medit-Ageing Research Group

“…Abstract Background Cortico-hippocampal functional networks, specifically the anterior-temporal (AT) and posterior-medial (PM) systems, are crucial for memory and highly vulnerable to aging and Alzheimer’s disease (AD). …”
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The Default Mode Network and Visual Network Functional Connectivity Changes in Noise‐Induced Hearing Loss Patients: A Resting‐State fMRI Study by Wei Lian, Lei Zhang, Aijie Wang, Ranran Huang, Haijun Zhang, Xianghua Bao, GuoweiZ hang

“…Objective To investigate the functional connectivity (FC) of the default mode network (DMN) and visual network (VN) in patients with occupational NIHL using resting‐state functional magnetic resonance imaging (rs‐fMRI). …”
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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

“…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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Self‐Attachable and Conductive Hydrogel Adhesive Patch by Sang‐Woo Lee, Geonjun Choi, Jaeil Kim, Seongjin Park, Somi Kim, Junghwa Kang, Salah M. Tawfik, Hoon Eui Jeong

“…However, conventional hydrogels often fail to combine multiple essential functions, such as reusable dry adhesion, strong wet adhesion, and electrical conductivity. …”
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Non-invasive bio-electromagnetic monitoring of cerebrovascular function: a novel conductivity reactivity index (CRx) for optimal cerebral perfusion pressure in acute brain injury m... by Jia Xu, Haochen Li, Feng Wang, Lian Yan, Gui Jin, Mingsheng Chen, Gen Li, Mingxin Qin

“…A cerebrovascular function monitoring platform was constructed with this sensor, a vector network analyzer, a LabVIEW software platform, and a physiological signal acquisition device to record the MIPS and arterial blood pressure (ABP). …”
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Design and analysis of intelligent service chain system for network security resource pool by Zenan WANG, Jiahao LI, Chaohong TAN, Dechang PI

“…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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Origin of Dynamic Network Formation of 2D Nanofillers in a Flexible Matrix by Debmalya Roy, Vaishnav B, Subhash Mandal, Ajay Gupta, Benedikt Sochor, Sarathlal Koyiloth Vayalil, Tobias Kraus

“…The in situ ultra‐small‐angle X‐ray scattering analysis performed with simultaneous conductivity measurements, and stretching of flexible film has established a distinct role for loading fraction of functional nanofillers in deciding the stability of conduction networks. …”
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DMN network and neurocognitive changes associated with dissociative symptoms in major depressive disorder: a research protocol by Asli Ercan Dogan, Herdem Aslan Genc, Herdem Aslan Genc, Sinem Balaç, Sinem Balaç, Sevin Hun Senol, Görkem Ayas, Zafer Dogan, Emre Bora, Emre Bora, Deniz Ceylan, Deniz Ceylan, Deniz Ceylan, Deniz Ceylan, Vedat Şar

“…Neurocognitive performance will be evaluated through a battery of tests assessing memory, attention, executive function, and processing speed. Structural and functional magnetic resonance imaging (MRI) will be conducted on a 3 Tesla scanner, focusing on the connectivity of the Default Mode Network with key regions such as the orbitofrontal cortex, insula, and posterior cingulate cortex. …”
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Study on the relationship between topological characteristics of vegetation ecospatial network and sand fixation function in the Mongolian Plateau

“…The revised wind erosion equation (RWEQ) was then applied to estimate soil wind erosion and evaluate vegetation's sand fixation function for 2020. Correlation analysis was conducted to explore the relationships between VEN topological indicators, vegetation-driven sand fixation, and regional wind erosion. …”
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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

“…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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Context-dependent PSIICOS: A novel framework for functional connectivity estimation accounting for task-related power leakage by Daria Kleeva, Alexei Ossadtchi

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Three-Dimensional Thermal Tomography with Physics-Informed Neural Networks by Theodoros Leontiou, Anna Frixou, Marios Charalambides, Efstathios Stiliaris, Costas N. Papanicolas, Sofia Nikolaidou, Antonis Papadakis

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Quality optimization of liquid silicon lenses based on sequential approximation optimization and radial basis function networks by Hanjui Chang, Shuzhou Lu, Yue Sun, Yuntao Lan

“…Abstract This study introduces an innovative multi-objective optimization method based on sequential approximation optimization (SAO) and radial basis function (RBF) networks to enhance the injection molding process for liquid silicone optical lenses. …”
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