IR-ADMDet: An Anisotropic Dynamic-Aware Multi-Scale Network for Infrared Small Target Detection by Ning Li, Daozhi Wei

“…The entire architecture is optimized for efficiency using dynamic feature recalibration. …”
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Detection of Aflatoxin B1 in Wheat Based on Nucleic Aptamer Chemiluminescence Sensor by Zebing Zhang, Caizhang Wu, Zhike Zhao

“…Under conditions optimized by testing key parameters, the assay results showed that the chemiluminescence intensity and AFB₁ concentration demonstrated a strong linear relationship (R² = 0.995), the dynamic range was from 0.1 to 10 ng/mL with a detection limit of 0.09 ng/mL, and the aptamer exhibited good specificity and anti-interference ability. …”
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Power Loading in Peak Limited Intensity Modulation Direct Detection Mode Group Division Multiplexing by Nir Sheffi, Dan Sadot

“…In addition, we have theoretically derived the bit and power loading of such a system in a closed-loop multiple-input multiple-output (MIMO) formation using convex optimization with two possible types of architectures: the vertical Bell Labs layered space-time architecture (V-BLAST) with minimum mean square error and successive interference cancellation (MMSE-SIC); and singular value decomposition (SVD). …”
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Enhancing 4G/LTE Network Path Loss Prediction with PSO-GWO Hybrid Approach by Messaoud Garah, Nabil Boukhennoufa

“… In a 4G/LTE network, path loss models are crucial for efficient planning, interference estimation, frequency allocation, and optimization of cell parameters, all essential for the network's overall performance and planning. …”
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Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning by Qingli Liu, Yongjie Ma

“…A resource allocation method based on federated multi-agent deep reinforcement learning is proposed for Vehicular Networking communication, by fusing Asynchronous Federated Learning (AFL) and Multi-Agent Deep Deterministic Policy Gradient (MADDPG). Synergistic optimization of resource allocation. First, vehicles as agent dynamically optimize spectrum access, power control, and bandwidth allocation based on local channel states through the collaborative policy of MADDPG to reduce cross-link interference. …”
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Cross-Kingdom RNA Transport Based on Extracellular Vesicles Provides Innovative Tools for Plant Protection by Yujin Zhao, Yanguang Zhou, Jingyan Xu, Sen Fan, Na Zhu, Qingling Meng, Shijie Dai, Xiaofeng Yuan

“…RNA interference (RNAi) shows great potential in plant defense against pathogens through RNA-mediated sequence-specific gene silencing. …”
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Intelligent Reflecting Surface-Assisted Cognitive Radio Networks: Recent Trends, Usages, Challenges, and Future Directions by Usama Mir, Ubaid Abbasi, Talha Mir, Satvika Pullisani

“…Intelligent Reflective Surface (IRS) revolutionizes wireless network design by enabling precise control over signal propagation, which significantly enhances network performance. IRS optimizes wireless links by intelligently adjusting reflected signal properties, boosting power for legitimate users while curbing interference and enhancing security against eavesdropping. …”
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A Robust Tomato Counting Framework for Greenhouse Inspection Robots Using YOLOv8 and Inter-Frame Prediction by Wanli Zheng, Guanglin Dai, Miao Hu, Pengbo Wang

“…Accurate tomato yield estimation and ripeness monitoring are critical for optimizing greenhouse management. While manual counting remains labor-intensive and error-prone, this study introduces a novel vision-based framework for automated tomato counting in standardized greenhouse environments. …”
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Analysis on Influence of Large Capacity SVC Reactor on Low Voltage DC Power Supply for Station and Preventive Measures by Caiquan WEN, Jiexiong QUAN, Kai ZHOU, Longbin PAN, Cheng LI

“…The results show that the influence of phase controlled reactors of a large capacity SVC on the low voltage DC power supply of a power substation has exceeded the allowable value stipulated by relevant code, and the layout optimization of silicon steel sheet, aluminum plate and iron plate can effectively reduce the interference, and the resulting inductance change and heating are acceptable.…”
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Study on application-oriented evaluation method for stealth materials by CUI Yiwen, LI Peishan, MA Lianfeng, ZHOU Hai

“…The method improves the shape of the test specimen to weaken the interference of the non-examination scattering source on the test results as much as possible. …”
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Status, biology, impact, and management strategies of Phyllotreta striolata (Fabricius) (Coleoptera: Chrysomelidae): a comprehensive review of biocontrol strategies by Yan Zhou, Zhijie Li, Mingguo Jiang, Fengfang Li, Tianbao Yang

“…Conclusion This review underscores the necessity of optimizing biocontrol strategies and suggests that integrating biocontrol, genetic technologies, and IPM could offer a more effective and sustainable solution for P. striolata management. …”
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Design of an Integrated Circularly Polarized HgCdTe Photodetector Based on Silicon Metasurfaces by Bo Cheng, Yuxiao Zou, Zihui Ge, Hanxiao Shao, Kunpeng Zhai, Guofeng Song

“…., solar scattering and atmospheric interference), enabling high-precision CO₂ monitoring across ecosystems like farmland, forests, and wetlands. …”
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CBSNet: An Effective Method for Potato Leaf Disease Classification by Yongdong Chen, Wenfu Liu

“…In addition, the Bat–Lion Algorithm (BLA) is introduced, which combines the Lion algorithm and the bat optimization algorithm and makes the optimization process more adaptive by using the bat algorithm to adjust the gradient direction during the updating process of the Lion algorithm. …”
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Multi-agent deep reinforcement learning for RIS-assisted secure UAV communication by Bojia Zhao, Danyang Qin, Yuhong Chen, Jiaqiang Yang, Huapeng Tang, Lin Ma

“…Additionally, the impact of system energy consumption is considered in the optimization process to improve secrecy energy efficiency (SEE). …”
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Synthetic Pre-miRNA-Based shRNA as Potent RNAi Triggers by Kazuya Terasawa, Kazuharu Shimizu, Gozoh Tsujimoto

“…RNA interference (RNAi) is a powerful tool for studying gene function owing to the ease with which it can selectively silence genes of interest, and it has also attracted attention because of its potential for therapeutic applications. …”
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MSPB-YOLO: High-Precision Detection Algorithm of Multi-Site Pepper Blight Disease Based on Improved YOLOv8 by Xiaodong Zheng, Zichun Shao, Yile Chen, Hui Zeng, Junming Chen

“…By incorporating the RVB-EMA module into the model, we can significantly reduce interference from shallow noise in high-resolution depth layers. …”
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High-precision indoor localization in multi-level buildings by Chokri Ajroud, Jamel Hattay, Mohsen Machhout

“…The proposed method achieves an average localization error of approximately 5 cm, even in multifloor environments, through optimized reader placement and computational overhead reduction. …”
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Research on adaptive control of six-degree-of-freedom manipulator based on fuzzy PID by Ronghua Qian, Renping Wu, Hao Wu

“…In enhancing the precision of cooperative control among multiple manipulators, the traditional PID control method faces challenges in managing coupling interference and escalating chaos in the control parameters. …”
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Multi-label classification for image tamper detection based on Swin-T segmentation network in the spatial domain by Li Li, Kejia Zhang, Jianfeng Lu, Shanqing Zhang

“…Our method introduces three key innovations: (1) A spatial perception module that combines the spatial rich model (SRM) with constrained convolution, enabling focused detection of tampering traces while suppressing interference from image content; (2) A hierarchical feature learning architecture that integrates Swin Transformer with UperNet for effective multi-scale tampering pattern recognition; and (3) A comprehensive optimization strategy including auxiliary supervision, self-supervised learning, and hard example mining, which significantly improves model convergence and detection accuracy. …”
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Detection and Tracking of Environmental Sensing System for Construction Machinery Autonomous Operation Application by Junyi Chen, Qipeng Cai, Xinhai Hu, Qihuai Chen, Tianliang Lin, Haoling Ren

“…There are a large number of unstructured scenes and special targets in the construction machinery application scene, which brings greater interference to the environment sensing system for Construction Machinery Autonomous Operation Application. …”
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