Resilient service function chain initial deployment and dynamic replacement towards 6G networks by Deqiang Zhou, Xinsheng Ji, Wei You, Yu Zhao, Hang Qiu, Mingyan Xu

“…Abstract Service Function Chain (SFC) enables more facile and convenient composition of on-demand service chains, which can provide customized services for 6G’s six use cases. 6G networks impose higher demands on Quality of Service (QoS), especially with the debut of resilience. …”
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A multiscale functional map of somatic mutations in cancer integrating protein structure and network topology by Yingying Zhang, Alden K. Leung, Jin Joo Kang, Yu Sun, Guanxi Wu, Le Li, Jiayang Sun, Lily Cheng, Tian Qiu, Junke Zhang, Shayne D. Wierbowski, Shagun Gupta, James G. Booth, Haiyuan Yu

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The effects of subcallosal cingulate deep brain stimulation on functional brain network and white matter integrity by Ki Sueng Choi, JungHo Cha, Haneul Song, Martijn Figee, Brian Kopell, Helen Mayberg

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Interictal functional connectivity of human epileptic networks assessed by intracerebral EEG and BOLD signal fluctuations. by Gaelle Bettus, Jean-Philippe Ranjeva, Fabrice Wendling, Christian G Bénar, Sylviane Confort-Gouny, Jean Régis, Patrick Chauvel, Patrick J Cozzone, Louis Lemieux, Fabrice Bartolomei, Maxime Guye

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Disturbed small-world networks and neurocognitive function in frontal lobe low-grade glioma patients. by Qingling Huang, Rui Zhang, Xinhua Hu, Shangwen Ding, Jingguang Qian, Ting Lei, Xuan Cao, Ling Tao, Zhiyu Qian, Hongyi Liu

“…We calculated the topological properties of brain functional networks in the 12 LGG, and compared with 12 healthy controls (HCs). …”
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A Baicalin‐Based Functional Polymer in Dynamic Reversible Networks Alleviates Osteoarthritis by Cellular Interactions by Yili Yang, Qinxiao Hu, Qingfeng Shao, Yachen Peng, Bo Yu, Fangji Luo, Jiajing Chen, Chenhao Xu, Zhenyan Li, Manseng Tam, Zhenyu Ju, Ronghua Zhang, Feiyue Xing, Zhengang Zha, Huan‐Tian Zhang

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A critical role of action-related functional networks in Gilles de la Tourette syndrome by Juan Carlos Baldermann, Jan Niklas Petry-Schmelzer, Thomas Schüller, Lin Mahfoud, Gregor A. Brandt, Till A. Dembek, Christina van der Linden, Joachim K. Krauss, Natalia Szejko, Kirsten R. Müller-Vahl, Christos Ganos, Bassam Al-Fatly, Petra Heiden, Domenico Servello, Tommaso Galbiati, Kara A. Johnson, Christopher R. Butson, Michael S. Okun, Pablo Andrade, Katharina Domschke, Gereon R. Fink, Michael D. Fox, Andreas Horn, Jens Kuhn, Veerle Visser-Vandewalle, Michael T. Barbe

“…We find that greater tic reduction is linked to higher connectivity of DBS sites (N = 37) with action-related functional resting-state networks, i.e., the cingulo-opercular (r = 0.62; p < 0.001) and somato-cognitive action networks (r = 0.47; p = 0.002). …”
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Functional Brain Network Disruptions in Parkinson’s Disease: Insights from Information Theory and Machine Learning by Ömer Akgüller, Mehmet Ali Balcı, Gabriela Cioca

“…<b>Objectives:</b> This study investigates disruptions in functional brain networks in Parkinson’s Disease (PD), using advanced modeling and machine learning. …”
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New ideas about the structure and functions of national ecological network in the context of modern postnonclassical concepts by Tetiana Kazakova

“…Thus the best “contact” between a man and nature should promote exactly informative and ideological functions performed by technogenesis objects. Such theoretical approach provides a new tool for the formalization of relations between nature and society in the organization of the environmental work including formation of the ecological network. …”
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Performance Analysis of Wireless Sensor Networks Using Damped Oscillation Functions for the Packet Transmission Probability by Izlian Y. Orea-Flores, Mario E. Rivero-Angeles, Sergio-Jesus Gonzalez-Ambriz, Eleazar Aguirre Anaya, Sumera Saleem

“…Wireless sensor networks are composed of many nodes distributed in a region of interest to monitor different environments and physical variables. …”
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Structure-function coupling in network connectivity and associations with negative affectivity in a group of transdiagnostic adolescents by Dana Kanel, Andre Zugman, Grace Stohr, Beck Scheinberg, Elise Cardinale, Anderson M. Winkler, Katharina Kircanski, Nathan A. Fox, Melissa A. Brotman, Julia O. Linke, Daniel S. Pine

“…Higher structure-function coupling may indicate heightened structural constraints on function, which limit functional network reorganization during adolescence required for healthy psychological outcomes.…”
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Educational multimedia design principles affect local and global information processing in functional brain networks by Mohammadhossein Ostadi, Masoumeh Golmohamadian, Alireza Bosaghzadeh, S. Hamid Amiri, Reza Ebrahimpour

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Multi-function supported privacy protection data aggregation scheme for V2G network by Baiji HU, Xiaojuan ZHANG, Yuancheng LI, Rongxin LAI

“…In view of the problem that the functions of the current privacy protection data aggregation scheme were insufficient to meet the increasingly rich application requirements, a multi-function supported privacy protection data aggregation (MFPDA) scheme for V2G network was proposed.By using cryptographic algorithms such as BGN, BLS, and Shamir’s secret sharing, as well as fog computing and consortium blockchain technology, multiple security functions like fault tolerance, resistance to internal attacks, batch signature verification, no need for trusted third parties, and multiple aggregation functions were integrated into one privacy protection data aggregation scheme.Security analysis shows that the proposed scheme can protect data aggregation’s security, privacy and reliability.The performance evaluation shows that the introduction of fog computing can significantly reduce the computing overhead of the control center, and the reduction rate can be as high as 66.6%; the improvement of the consortium blockchain can effectively reduce the communication and storage overhead of the system, and the reduction rate can reach 16.7% and 24.9% respectively.…”
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Non-invasive prehabilitation before neurosurgery reconfigures the topology of language networks without compromising function by Nuria Brault, Alba Roca-Ventura, Ruben Perellón-Alfonso, Selma Delgado-Gallén, Leonardo Boccuni, Edgar Buloz-Osorio, David Leno, María Cabello-Toscano, David Bartrés-Faz, Alvaro Pascual-Leone, Jose M. Tormos, Kilian Abellaneda-Pérez

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No associations in preregistered study of youth depression and functional connectivity of fronto-parietal and default mode networks by Yueyue Qu, Brent I. Rappaport, Joan L. Luby, Deanna M. Barch

“…Our preregistered hypotheses were that within-DMN functional connectivity would be positively associated with concurrent depression severity, while within-FPN functional connectivity would be negatively associated with concurrent depression severity. …”
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Functional modularity of nuclear hormone receptors in a Caenorhabditis elegans metabolic gene regulatory network by H Efsun Arda, Stefan Taubert, Lesley T MacNeil, Colin C Conine, Ben Tsuda, Marc Van Gilst, Reynaldo Sequerra, Lynn Doucette‐Stamm, Keith R Yamamoto, Albertha J M Walhout

“…Abstract Gene regulatory networks (GRNs) provide insights into the mechanisms of differential gene expression at a systems level. …”
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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

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Calculation Method for Reliability of Agricultural Distribution Power Networks while Applying Functions of Boolean Algebra by V. I. Rusan, O. Yu. Pukhalskaya

“…The paper considers calculation methods for reliability of  agricultural distribution power networks while using Boolean algebra functions and analytical method. …”
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Innovative transformer neural network for wind density function estimation at different hub heights of turbine by Amit Kumar Yadav, Vibha Yadav, Walle Tilahun

“…Weibull distribution functions (WDF) have been widely used and it is a function of wind speed (WS). …”
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Region Space Guided Transfer Function Design for Nonlinear Neural Network Augmented Image Visualization by Fei Yang, Xiangxu Meng, JiYing Lang, Weigang Lu, Lei Liu

“…Quality of biomedical volume data is often impacted by partial effect, noisy, and bias seriously due to the CT (Computed Tomography) or MRI (Magnetic Resonance Imaging) devices, which may give rise to an extremely difficult task of specifying transfer function and thus generate poor visualized image. In this paper, firstly a nonlinear neural network based denoising in the preprocessing stage is provided to improve the quality of 3D volume data. …”
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