Research on the Design and Simulation of Missile Intelligent Agent Autopilot Integrated With Deep Reinforcement Learning by Jianqi Wang, Shengtao Long, Su Wang, Kaiyu Zhan

“…Under the framework of deep reinforcement learning, by integrating the missile’s dynamic characteristics to optimize the reward function and network structure, an adaptive control model capable of adapting to complex flight conditions was constructed. …”
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Scaffolding the Learning-to-Teach Process: A Study in an EFL Teacher Education Programme in Argentina by Maria Gimena San Martin

“…In conclusion, scaffolded help should be understood in relation to the function it serves and how it accommodates the students’ level of understanding.…”
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Learning the use of punctuation: Analysis of a corpus of grammar textbooks for lower secondary school by Claudia Arcari

“…First of all, it emphasizes the importance of punctuation, and it describes its main functions. Secondly, it summarizes the most appropriate theories and methods for learning how to use punctuation, with particular attention to its textual function. …”
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Identification and validation of the nicotine metabolism-related signature of bladder cancer by bioinformatics and machine learning by Yating Zhan, Min Weng, Yangyang Guo, Dingfeng Lv, Feng Zhao, Zejun Yan, Junhui Jiang, Yanyi Xiao, Lili Yao

“…Integrative machine learning combination based on 10 machine learning algorithms was used for the construction of robust signature. …”
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A distributed CRN resource allocation algorithm based on CBR and cooperative Q-learning by Lin XU, Zhijin ZHAO

“…In order to solve the problem of channel and power allocation in distributed cognitive radio networks (CRN),a case-based reasoning (CBR) and cooperative Q-learning algorithm was proposed.In order to optimize the Q initialization of Q-learning algorithm,the current problem and the historical case were matched according to the similarity function,the Q value of the matching case was extracted and normalized as the initial value.Cooperative Q-learning was based on the total reward value,and each agent integrates the Q values of other agents with higher reward values with different weights to gain learning experience to reduce unnecessary exploration.Simulations show that the proposed algorithm can improve the energy efficiency of the cognitive system’s channel and power allocation,and accelerate the convergence speed of the system.…”
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Investigating the Relationship of Inflammatory Cytokines and Brain-Derived Neurotrophic Factor with Cognitive Functions in Multiple Sclerosis Patients by Narges َArab-Moghaddam, Karim Asgari Mobarakeh, Gholamreza Daryabor, Maryam Poursadeghfard

“…The ELISA method was used to measure the serum levels of cytokines IFN-γ, IL-6, TNF-α, and IL-17, as well as brain-derived neurogenesis factor (BDNF) in the control group and the patients. California Verbal Learning Tests (CVLT-11), Brief Spatial Memory-Revised (BVMT-R), Symbol Digit Substitution (SDMT), Verbal Fluency (COWAT), and Executive Functions (D-KEFS) were implemented to assess cognitive functions. …”
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A Comparison of Approaches for Segmenting the Reaching and Targeting Motion Primitives in Functional Upper Extremity Reaching Tasks by Kyle L. Jackson, Zoran Duric, Susannah M. Engdahl, Anthony C. Santago, Siddhartha Sikdar, Lynn H. Gerber

“…There is growing interest in the kinematic analysis of human functional upper extremity movement (FUEM) for applications such as health monitoring and rehabilitation. …”
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Less Is More: Brain Functional Connectivity Empowered Generalizable Intention Classification With Task-Relevant Channel Selection by Haowei Lou, Zesheng Ye, Lina Yao, Yu Zhang

“…Further, non-contributory EEG channels are excluded by selecting only functional regions relevant to the corresponding intention. …”
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Functional Integration between Salience and Central Executive Networks: A Role for Action Video Game Experience by Diankun Gong, Hui He, Weiyi Ma, Dongbo Liu, Mengting Huang, Li Dong, Jinnan Gong, Jianfu Li, Cheng Luo, Dezhong Yao

“…It has been proposed that AVG experience is related to the integration between Salience Network (SN) and Central Executive Network (CEN), which are responsible for attention and working memory, respectively, two cognitive functions essential for AVG playing. This study initiated a systematic investigation of this proposition by analyzing AVG experts’ and amateurs’ resting-state brain functions through graph theoretical analyses and functional connectivity. …”
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Path Planning for a UAV Swarm Using Formation Teaching-Learning-Based Optimization by Hoang Van Truong, Phung Manh Duong

“…To optimize the fitness function and obtain a suboptimal path, we employ the teaching-learning-based optimization algorithm and then further enhance it with mechanisms such as mutation, elite strategy, and multi-subject combination. …”
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Reinforcement Learning-Based Continuous Action Space Path Planning Method for Mobile Robots by Weimin Zhang, Guoyong Wang

“…Then, by setting the reward function of the mobile robot based on the artificial potential field method, the information of the robot’s distance from obstacles is continuous, and a new reinforcement learning training process is proposed. …”
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A distributed CRN resource allocation algorithm based on CBR and cooperative Q-learning by Lin XU, Zhijin ZHAO

“…In order to solve the problem of channel and power allocation in distributed cognitive radio networks (CRN),a case-based reasoning (CBR) and cooperative Q-learning algorithm was proposed.In order to optimize the Q initialization of Q-learning algorithm,the current problem and the historical case were matched according to the similarity function,the Q value of the matching case was extracted and normalized as the initial value.Cooperative Q-learning was based on the total reward value,and each agent integrates the Q values of other agents with higher reward values with different weights to gain learning experience to reduce unnecessary exploration.Simulations show that the proposed algorithm can improve the energy efficiency of the cognitive system’s channel and power allocation,and accelerate the convergence speed of the system.…”
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A Meta-Learning Approach for Estimating Heterogeneous Treatment Effects Under Hölder Continuity by Zhihao Zhao, Congyang Zhou

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The abnormal accumulation of pathological proteins and compensatory functional connectivity enhancement of insula subdivisions in mild cognitive impairment by Darui Zheng, Chen Xue, Yingcai Feng, Yiming Ruan, Wenzhang Qi, Qianqian Yuan, Zonghong Li, Chaoyong Xiao

“…Additionally, FC of the left cerebellar posterior lobe was negatively correlated with RAVLT-learning, and FC of the left middle frontal gyrus was negatively correlated with p-tau levels. …”
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Selective retinoid X receptor agonism promotes functional recovery and myelin repair in experimental autoimmune encephalomyelitis by Gracious D. S. Kasheke, Basmah A. M. Hendy, Gabriel G. Dorighello, Nonthué A. Uccelli, Jean-David M. Gothié, Robyn J. Novorolsky, Madison J. Oulton, Jude Asainayagam, Adam I. Makarov, Kaitlyn S. Fraser, Vidyasagar Vuligonda, Martin E. Sanders, Timothy E. Kennedy, George S. Robertson

“…Abstract Evidence that myelin repair is crucial for functional recovery in multiple sclerosis (MS) led to the identification of bexarotene (BXT). …”
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Comparison of Brain Activation Between Different Modes of Motor Acquisition: A Functional Near‐Infrared Study by Meng‐Hsuan Tsou, Pei‐Yun Chen, Yi‐Ting Hung, Yong‐Wei Lim, Shiuan‐Ling Huang, Yan‐Ci Liu

“…Participants performed a functional reaching and grasping task under ME, MI, AO, and MVF mode with their right arms at a frequency of 0.5 Hz for 1 min per task. …”
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Reward shaping based reinforcement learning for intelligent missile penetration attack strategy planning by LUO Junren, LIU Guo, SU Jiongming, ZHANG Wanpeng, CHEN Jing

“…Secondly, a strategic planning method of intelligent missile penetration based on reward-shaping reinforcement learning is designed by using multi-class reward function. …”
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Data‐sharing strategies in medical consortium based on master‐slave multichain and federated learning by Bohan Kang, Ning Zhang, Jianming Zhu

“…According to the different computing resources and the responsibility of participants, the adaptive Proof of Liveness and Quality consensus and hierarchical federated learning algorithm for master‐slave multichain are proposed. …”
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Autonomous deployment and energy efficiency optimization strategy of UAV based on deep reinforcement learning by Yi ZHOU, Xiaoyong MA, Fuxiao GAO, Wei LI, Nan CHENG, Ning LU

“…Utilizing a UAV to build aerial mobile small cell can provide more flexible and efficient access services for ground terminal users.Constrained by the coverage and limited energy of the UAV,it is necessary to study how to build a fast,efficient and energy-saving air-ground collaborative network.To deal with complex dynamic scenarios,the UAV needs to deploy an optimal coverage position,and meanwhile reduce both path loss and energy consumption in the deployment process.Based on the deep reinforcement learning,a strategy of autonomous UAV deployment and efficiency optimization was proposed.The coverage state set of UAV was established,and the energy efficiency was used as a reward function.Depth neural network and Q-learning were used to guide UAV to make autonomous decision and deploy the optimal position.The simulation results show that the deployment time of the proposed method can be effectively reduced by 60%,while the energy consumption can be reduced by 10%~20%.…”
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Multimodal endovascular management of traumatic carotid-cavernous fistulas: case series and lessons learned by Shangdi Yang, Richao Chen, Mingjia Yi, Chuangnan Li

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