The TRPA1 channel regulates temperature preference in the green peach aphid Myzus persicae by Lulu Yang, Tianyu Huang, Jie Shen, Bing Wang, Guirong Wang

“…The role of the MperTRPA1 gene in temperature adaptation of M. persicae was further determined by RNA interference and a behavioral choice assay to evaluate responses to temperature gradients. …”
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Modeling and Analysis of Noise Reduction Method in SPAD-Based LiDAR System by Kai Ma, Tao Yin, Na Tian, Zhe Wang, Tian Zhao, Jian Liu, Nanjian Wu, Liyuan Liu

“…Ambient light interference stands as the primary source of noise encountered by the light detection and ranging (LiDAR) systems based on single-photon avalanche diode (SPAD), which seriously restricts the detection range and accuracy of sensors. …”
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Deep Q-Learning Based Adaptive MAC Protocol with Collision Avoidance and Efficient Power Control for UWSNs by Wazir Ur Rahman, Qiao Gang, Feng Zhou, Muhammad Tahir, Wasiq Ali, Muhammad Adil, Muhammad Ilyas Khattak

“…However, the dynamic and unpredictable underwater environment poses significant challenges in communication, including interference, collisions, and energy inefficiency. In changing underwater environment to make routing possible among nodes or/and base station (BS) an adaptive receiver-initiated deep adaptive with power control and collision avoidance MAC (DAWPC-MAC) protocol is proposed to address the challenges of interference, collisions, and energy inefficiency. …”
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Research on Concrete Crack and Depression Detection Method Based on Multi-Level Defect Fusion Segmentation Network by Zhaochen Yao, Yanjuan Li, Hao Fu, Jun Tian, Yang Zhou, Chee-Loong Chin, Chau-Khun Ma

“…Joint detection loss and segmentation loss are used for task co-optimization. On our self-constructed concrete defect dataset, MDFNet significantly outperforms the baseline model. …”
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Mental and physical health characteristics of older and younger adults receiving medication for opioid use disorder by Teresa J. Walker, Rakshitha Mohankumar, Shane W. Kraus, Brandi P. Cotton, Brenna N. Renn

“…Older participants reported higher pain severity and interference, less physical activity, and worse self-rated health than those in the younger age group (ps < 0.05). …”
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Joint Resource Scheduling of the Time Slot, Power, and Main Lobe Direction in Directional UAV Ad Hoc Networks: A Multi-Agent Deep Reinforcement Learning Approach by Shijie Liang, Haitao Zhao, Li Zhou, Zhe Wang, Kuo Cao, Junfang Wang

“…Directional unmanned aerial vehicle (UAV) ad hoc networks (DUANETs) are widely applied due to their high flexibility, strong anti-interference capability, and high transmission rates. …”
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Investigation of Hybrid Tooth Profiles for Robotic Drives Based on IH Tooth Profiles and Cycloidal Curves by Wonhyeong Jeong, Myungsung Lee, Sehoon Oh, Hansu Jeon, Kwangouck Youm

“…A prototype was fabricated using 3D printing with PLA material, and experimental testing confirmed the absence of meshing or interference issues, consistent with simulation results. …”
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Energy-Efficient Sleep Mode Schemes for Cell-Less RAN in 5G and Beyond 5G Networks by Farinaz Kooshki, Ana Garcia Armada, Md. Munjure Mowla, Adam Flizikowski, Slawomir Pietrzyk

“…., certain phase and conditional phase) through the intelligent interference management for temporarily switching access points (APs) to sleep, optimizing the network energy efficiency (EE) in highly loaded scenarios, as well as in scenarios with lower load. …”
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Cognitive intelligence routing protocol for disaster management and underwater communication system in underwater acoustic network by Kiran Saleem, Lei Wang, Ahmad Almogren, Ernest Ntizikira, Ateeq Ur Rehman, Salil Bharany, Seada Hussen

“…This research presents an innovative routing framework tailored for Underwater Sensor Networks (UWSNs) and Underwater Acoustic Networks (UANs), addressing critical challenges like energy constraints, security vulnerabilities, limited bandwidth, and interference. The proposed system integrates a Multi-Agent System (MAS), blockchain technology, and acoustic communication to enhance security, optimize energy usage, and improve data transmission efficiency. …”
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Reinforcement learning for rotation sensing with ultracold atoms in an optical lattice by Liang-Ying Chih, Murray Holland

“…What results is an interference device that is completely distinct from the familiar Mach-Zehnder-type interferometer. …”
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Opportunistic spectrum accessing joint distance with service characteristics in IOT networks by Jun SUN, Hong-bo ZHU

“…An accessing scheme which combines distance with service for the applications in IOT networks was proposed.First,a channel-availability list based on the distance relationship between system and non-system users was built.The list provided a priority of each channel for non-system users.Then the service-matched expression between the IOT user and the liscensed user was proposed.Based on the list and the expression,a interfrence-driven utility function was defined.Finally,the accessing scheme was optimized from the cross-layer design point of view.It was proved that the scheme guaranteed both the interference suppression and the resource sharing in IOT based on the QoS requirements.…”
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Design Method of Improving NGWN（Ⅱ） Efficiency and Carrying Capacity by Using Low-loss and Asymmetrical Gear by Wang Panpan, Qin Datong

“…The efficiency influenced by contact ratios and the strength influenced by pressure angles and profile-shift coefficient are studied. On this basis,an optimization model aimed at highest efficiency and power density is described,which is subject to the conditions such as teeth,interference and strength. …”
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Downhole Pressure Pulse Signal Recognition Based on SSA-CNN-LSTM by JIANG Panqin, LIU Xingbin, JIANG Zhicheng, LI Shanwen, HE Zhuang

“…The experimental results show that through the mechanisms of spatio-temporal feature fusion and parameter adaptive optimization, this model effectively suppresses the accuracy degradation of pressure pulse prediction caused by downhole unsteady-state interference, provides a highly robust signal processing solution for the wireless transmission scenarios of intelligent water injection systems, verifies the technical feasibility of analyzing industrial time-series data under complex working conditions, and provides theoretical support for the real-time monitoring and precise control of downhole intelligent equipment.…”
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Power allocation algorithm for cognitive radio energy harvesting networks based on energy cooperation by Zhen-wei XIE, Qi ZHU

“…An algorithm to optimize the power allocation by maximizing the system throughput in cognitive radio energy harvesting networks was proposed.The algorithm formulated the throughput optimization model subject to the causality constraints of the harvested energy within the two secondary users and the interference constraint of the primary user.In addition,by applying the variable-substitution method and problem equivalence transformation,the joint optimization problem of power and cooperative energy was decoupled into two problems:a power allocation problem and a cooperative energy one.The former problem could be solved by iterating the two decoupled problems.As shown in the simulation results,the energy cooperation can significantly improve the system throughput when the harvested energy difference between two nodes is rather large.…”
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Deep Fusion Intelligence: Enhancing 5G Security Against Over-the-Air Attacks by Mohammadreza Amini, Ghazal Asemian, Burak Kantarci, Cliff Ellement, Melike Erol-Kantarci

“…With the increasing deployment of 5G networks, the vulnerability to malicious interference, such as jamming attacks, has become a significant concern. …”
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Joint Communication and Navigation From LEO Multi-Beam Satellite by Alejandro Gonzalez-Garrido, Jorge Querol, Henk Wymeersch, Symeon Chatzinotas

“…This work establishes a foundation for robust and efficient JCAP implementations, addressing challenges related to multi-beam interference and resource optimization.…”
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Concise Robust Control of Marine Engine Speed Based on Backstepping and Its Fuzzy Comprehension by Lijun Wang, Sisi Wang

“…To overcome the perturbation due to load or interference change, variable universe fuzzy inference is introduced to optimize the control system on-line. …”
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Research on Integration Scheme of Locomotive-Ground Data Transmission Channel by Li GONG, Bo JIANG, Weiwei ZHANG, Bo LIU

“…In view of the current redundancy of railway locomotive-ground transmission tunnel construction, a multi-system locomotive-ground data transmission channel integration scheme based on the Chinese locomotive remote monitoring and diagnosis system (CMD system) was proposed, which strengthened and optimized the security and efficiency of data transmission. …”
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1 × 2 Switchable Dual-Mode Optical 90° Hybrid Device Based on Thermo-Optic Phase Shifters and 2 × 2 MMI Couplers on SOI Platform by Hai Ta Duy, Duy Nguyen Thi Hang, Thanh Thuy Tran, Nguyen Do Hoang Khoi, Cuong Chu, Hieu Nguyen, Truong C Dung

“…The suggested hybrid device working principle is proved on theoretical analysis about the multimode interference and the transfer matrix relation. The optimization of geometrical parameters and metallic micro-heaters is executed through the numerical simulation method. …”
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Unsupervised Learning for Distributed Downlink Power Allocation in Cell-Free mMIMO Networks by Mattia Fabiani, Asmaa Abdallah, Abdulkadir Celik, Omer Haliloglu, Ahmed M. Eltawil

“…Cell-free massive multiple-input multiple-output (CF-mMIMO) surmounts conventional cellular network limitations in terms of coverage, capacity, and interference management. This paper aims to introduce a novel unsupervised learning framework for the downlink (DL) power allocation problem in CF-mMIMO networks, utilizing only large-scale fading (LSF) coefficients as input, rather than the hard-to-obtain exact user location or channel state information (CSI). …”
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