A Novel One-Dimensional Chaotic System for Image Encryption in Network Transmission Through Base64 Encoding by Linqing Huang, Qingye Huang, Han Chen, Shuting Cai, Xiaoming Xiong, Jian Yang

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Efficient angle-aware coverage control for large-scale 3D map reconstruction using drone networks by Muhammad Hanif, Takumi Shimizu, Lu Zhiyuan, Masaya Suenaga, Takeshi Hatanaka

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Altered Functional Connectivity in Acute Ischemic Post-Stroke Non-Fluent Aphasia Based on fMRI-EEG Multimodal Fusion by Juehan Wang, Lin Mao, Hang Zhou, Shuang Wei, Tianfang Zhang, Haijun Li, Lingmei Ni, Shuyi Pan, Dazhi Guo, Daming Wang, Zuobing Chen

“…This study examined alterations in resting-state and task-state functional connectivity (FC) in patients with acute ischemic post-stroke nonfluent aphasia, using a combined resting-state functional magnetic resonance imaging and visuospatial working memory electroencephalography methodology. …”
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Pareto Local Search Function for Optimal Placement of DG and Capacitors Banks in Distribution Systems by Abdolreza Sadighmanesh, Mehran Sabahi, Mahdi Zavvari

“…In this method, a modified per-unit system is presented to align single objective functions and their weighting coefficients. The network is studied with three different loads. …”
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Nonsuicidal self-injury prediction with pain-processing neural circuits using interpretable graph neural network by Sichu Wu, Yuan Xue, Yaming Hang, Ya Xie, Pei Zhang, Minlu Liang, Yuan Zhong, Chun Wang

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Heart Failure Impairs Bone Marrow Hematopoietic Stem Cell Function and Responses to Injury by Tina B. Marvasti, Faisal J. Alibhai, Grace J. Yang, Shu‐Hong Li, Jun Wu, Terrence Yau, Ren‐Ke Li

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Harnessing miRNA dynamics in HIV-1-infected macrophages: Unveiling new targeted therapeutics using systems biology by R. Harshithkumar, Mollina Kaul, Madhuri Chandane-Tak, Nikhat J. Siddiqi, Abdul Malik, Abdul Arif Khan, Anupam Mukherjee

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Gradient descent Sarsa(?)algorithm based on the adaptive potential function shaping reward mechanism by Fei XIAO, Quan LIU, Qi-ming FU, Hong-kun SUN, Long GAO

“…In the reinforcement leaning tasks with continuous state spaces,the algorithms are usually facing the problems of ill initial performance and low convergence speed.In order to solve these problems,the potential function shaping reward mechanism was proposed to improve the reinforcement learning algorithms.This mechanism propagates model knowledge to the learner adaptively in the form of the additional reward signal,so that the initial performance and convergence speed could be improved effectively.In view of the good performance and existing problems of the radial basis function (RBF) network,the adaptive normalized RBF (ANRBF) network was put forward to use as a potential function to generate the shaping rewards.A gradient descent (GD)algorithm named ANRBF-GD-Sarsa(?) …”
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Dynamic scheduling method of service function chain executors based on the mimic defense architecture by Chuanhuang LI, Jingjing TANG, Yangting CHEN, Rui LEI, Chao CHEN, Weiming WANG

“…Faced with the problem that static and lagging traditional defense technologies cannot effectively deal with new network attacks, according to the theory of mimetic security defense, a defense architecture of mimic service function chain (MSFC) based on the data forwarding level was proposed, and an execution dynamic scheduling method based on the decision feedback was further proposed.The method took the abnormal executor information fed back by the decision maker, the heterogeneity of executors and the actual load of the system as the scheduling influencing factors, so that the scheduling method can be adjusted adaptively according to the actual changes of the network.In addition, the scheduling method used decision feedback to adjust the scheduling time, so as to achieve the best balance between system cost and security, and reduce the resource overhead of the system.Simulation results showed that the scheduling method can select a set of highly heterogeneous actuators that better meet the current network requirements on the basis of balancing the system cost and security, so as to improve the security and reliability of the system.…”
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Resting-state functional magnetic resonance imaging findings in patients with acoustic neuroma and tinnitus by ZHAN Xiaolin, REN Yi, LI Yongpeng, HUANG Qiao, YIN Shihua

“…Objective To investigate the neural network mechanism of tinnitus in patients with acoustic neuroma by observing the imaging findings of resting-state functional magnetic resonance imaging (rs-fMRI). …”
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Accuracy deficits during robotic time-constrained reaching are related to altered prefrontal cortex activity in children with cerebral palsy by Owais A. Khan, Tarkeshwar Singh, Deborah A. Barany, Christopher M. Modlesky

“…This case–control study combines a robotic task with functional near-infrared spectroscopy (fNIRS) to concurrently assess reaching accuracy and PFC activity during time-constrained, goal-directed reaching in children with CP. …”
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Altered Brain Functional Connectivity and Topological Structural in Girls with Idiopathic Central Precocious Puberty: A Graph Theory Analysis Based on Resting-State fMRI by Lu Tian, Yan Zeng, Helin Zheng, Jinhua Cai

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Decrement Evoked Potential Mapping to Guide Ventricular Tachycardia Ablation: Elucidating the Functional Substrate by Abhishek Bhaskaran, John Fitzgerald, Nicholas Jackson, Sigfus Gizurarson, Kumaraswamy Nanthakumar, Andreu Porta-Sánchez

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Altered intra- and interregional synchronization in relapsing–remitting multiple sclerosis: a resting-state fMRI study by Wu L, Zhang Y, Zhou F, Gao L, He L, Zeng X, Gong H

“…Keywords: relapsing–remitting multiple sclerosis, functional MRI, resting state, regional homogeneity, functional connectivity, caudate, insula…”
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Geometry‐Enhanced Implicit Function for Detailed Clothed Human Reconstruction With RGB‐D Input by Pengpeng Liu, Zhi Zeng, Qisheng Wang, Min Chen, Guixuan Zhang

“…This paper focuses on improving the representation ability of implicit function, exploring an effective method to utilise depth‐related semantics effectively and efficiently. …”
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The extended functional neuroanatomy of emotional processing biases for masked faces in major depressive disorder. by Teresa A Victor, Maura L Furey, Stephen J Fromm, Patrick S F Bellgowan, Arne Öhman, Wayne C Drevets

“…<h4>Background</h4>Major depressive disorder (MDD) is associated with a mood-congruent processing bias in the amygdala toward face stimuli portraying sad expressions that is evident even when such stimuli are presented below the level of conscious awareness. The extended functional anatomical network that maintains this response bias has not been established, however.…”
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Organic amendments promote soil phosphorus related functional genes and microbial phosphorus cycling by Wenchao Wu, Yangjian Zhang, Benjamin L. Turner, Yunlong He, Xiaodong Chen, Rongxiao Che, Xiaoyong Cui, Xuejun Liu, Lin Jiang, Juntao Zhu

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Urban Functional Zone Mapping by Integrating Multi-Source Data and Spatial Relationship Characteristics by Daoyou Zhu, Xu Dang, Wenjia Shi, Yixiang Chen, Wenmei Li

“…This framework leverages the OpenStreetMap (OSM) road network to partition the study area into functional units, employs a graph model to represent urban functional nodes and their intricate spatial topological relationships, and harnesses the capabilities of Graph Convolutional Network (GCN) to fuse these multi-dimensional features through end-to-end learning for accurate urban function discrimination. …”
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Satellite Image Classification Using a Hybrid Manta Ray Foraging Optimization Neural Network by Amit Kumar Rai, Nirupama Mandal, Krishna Kant Singh, Ivan Izonin

Subjects: “…radial basis function neural network (rbfnn)…”
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A Dynamic Neural Network Optimization Model for Heavy Metal Content Prediction in Farmland Soil by Kun Cao, Cong Zhang, Liangliang Li, Shuaifeng Li

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