Research on Trajectory Tracking Control Method for Crawler Robot Based on Improved PSO Sliding Mode Disturbance Rejection Control by Zhiyong Yang, Qing Lang, Yuhong Xiong, Shengze Yang, Changjin Zhang, Lielei Deng, Daode Zhang

“…To address the issues of low trajectory tracking accuracy and difficulties in tuning control parameters for crawler robots operating in uneven terrains, this paper proposes a trajectory tracking control method. …”
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A Novel Variable-Step Algorithm for DC-Side Voltage Stability Control Strategy in UPQC to Improve Power Quality by Kai Song, Ningning Li, Cong Li, Zihui Lian, Hongxu Li, Jiawen Sun, Shulin Jiang, Boyan Huang

“…First, an adaptive filter is integrated into the linear active disturbance rejection control (LADRC) to address control accuracy issues caused by noise and parameter variations. To solve the voltage sag problem resulting from the filter, the effects of fixed-step and various variable-step algorithms within the filter are analyzed, and the optimal control strategy is identified. …”
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Τhe Political Economy of Green Transition: The Need for a Two-Pronged Approach to Address Climate Change and the Necessity of “Science Citizens” by Antonios Angelakis, Manolis Manioudis, Anthi Koskina

“…Against this background, this paper puts forward the idea that a combined approach is required to address climate change issues, integrating top-down, e.g., macro-policy approaches with bottom-up strategies (with the latter allowing for a more dynamic participation of citizens and individuals), in order to complement current institutional, legal, policy, and technological measures. …”
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Assessing low free gas saturation via acoustic velocity in porous media by Rengang Shi, Rengang Shi, Jianwu Wang, Zhoutuo Wei, Zhoutuo Wei, Xinmin Ge, Xinmin Ge, Lei Xing, Lei Xing, Junfeng Zhao

“…To address these challenges, a dynamic coupling factor J is introduced within a revised Biot theoretical framework, and, in conjunction with core experimental data, the associated dynamic and elastic parameters are systematically optimized with respect to gas saturation. …”
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Evaluation of Wear Resistance of a Modified Radial Bearing Design Taking into Account Compressibility and Viscosity of the Lubricant by E. A. Bolgova, M. A. Mukutadze, V. M. Prikhodko, I. A. Kolobov

“…Fluctuations in the coefficient of friction up to 45 MPa (equivalent to a five-fold increase in load) were detected and explained. This was due to dynamic changes in the surface contact conditions and the effects of external parameters. …”
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Mark loss can strongly bias estimates of demographic rates in multi-state models: a case study with simulated and empirical datasets by Touzalin, Frédéric, Petit, Eric J., Cam, Emmanuelle, Stagier, Claire, Teeling, Emma C., Puechmaille, Sébastien J.

“…Using a multi-state, Arnason-Schwartz (AS) modelling framework, we estimated the effects of mark loss and recycled individuals on parameter estimates. We assessed parameter bias by simulating a metapopulation system with varying capture and survival rates. …”
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Designing and planning a bioethanol supply chain network under uncertainty using a data-driven robust optimization model under disjunctive uncertainty sets by Farzaneh MansooriMooseloo, Maghsoud Amiri, Mohammad Taghi Taghavi Fard, Mostafa Hajiaghaei-Keshteli

“…Initially, uncertainty sets for the non-deterministic model parameter were created using K-means and SVC methods. …”
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A Novel Adaptive Cuboid Regional Growth Algorithm for Trunk–Branch Segmentation of Point Clouds from Two Fruit Tree Species by Yuheng Cao, Ning Wang, Bin Wu, Xin Zhang, Yaxiong Wang, Shuting Xu, Man Zhang, Yanlong Miao, Feng Kang

“…However, the precise segmentation of trunks and branches remains a significant challenge, limiting the accurate measurement of phenotypic parameters and high-precision pruning of branches. To address this issue, a novel adaptive cuboid regional growth segmentation algorithm is proposed in this study. …”
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Dark-YOLO: A Low-Light Object Detection Algorithm Integrating Multiple Attention Mechanisms by Ye Liu, Shixin Li, Liming Zhou, Haichen Liu, Zhiyu Li

“…Second, the spatial feature pyramid module is improved by incorporating cross-overlapping average pooling and max pooling to extract salient features while retaining global and local information. Then, a dynamic feature extraction module is designed, which combines partial convolution with a parameter-free attention mechanism, allowing the model to flexibly capture critical and effective information from the image. …”
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Effect of Coupled Wing Motion on the Aerodynamic Performance during Different Flight Stages of Pigeon by Yishi Shen, Yi Xu, Weimin Huang, Chengrui Shang, Qing Shi

“…We categorized the wing kinematic parameters during the takeoff, leveling flight, and landing stages into 5 kinematics parameters: flap, twist, sweep, fold, and bend. …”
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AVIDITY EVALUATION OF LOCAL IgA ANTIBODIES IN PERSONS IMMUNIZED WITH LIVE INFLUENZA VACCINE by S. A. Donina, D. A. Koren’kov, L. G. Rudenko, A. N. Naikhin

“…Meanwhile, the avidity issues for local antibodies still remain open.In present study, an attempt was undertaken to evaluate post-vaccination local immunological memory for influenza A virus, according to IgA antibodies from upper respiratory secretions. …”
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RST-YOLOv8: An Improved Chip Surface Defect Detection Model Based on YOLOv8 by Wenjie Tang, Yangjun Deng, Xu Luo

“…Additionally, we employ the SimAM attention mechanism, enabling the model to learn three-dimensional channel information, thereby strengthening its perception of defect characteristics. To address the issues of missed detections and false detections of small targets in chip surface defect detection, we designed a task-aligned dynamic detection head (TADDH) to facilitate interaction between the localization and classification detection heads. …”
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Development of Experimental Setup to Investigate the Control System for Infusion Solutions Dosing Process by Fedir Matiko, Volodymyr Shaleva

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YOLORM: An Advanced Key Point Detection Method for Accurate and Efficient Rotameter Reading in Low Flow Environments by Huang Yong, Xia Xing, Xiao Shengwang

“…Automatic reading of rotameters in low flow and challenging environments poses substantial accuracy and efficiency challenges. To address these issues, this study introduces YOLORM, an advanced key point detection method for rotameters, built upon the YOLOv8n model. …”
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The energy consumption characteristics of a new type of energy dissipating vibration-damping fastener by Yan Liu, Jiansen Zhu, Xianpu Yuan, Runhua Fan, Yuan Yuan

“…To address the issue of inadequate energy dissipation capacity in current vibration-damping fasteners, this study examined the impact of stiffness and damping factor of vibration-damping fasteners on the vibration attenuation rate of rails, based on the theoretical model of a periodic double-layer support system. …”
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AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net by Ming Zhao, Yimin Yang, Bingxue Zhou, Quan Wang, Fu Li

“…Therefore, a novel nucleus segmentation method based on the U-Net architecture is proposed to overcome this issue. Firstly, we introduce a Weighted Feature Enhancement Unit (WFEU) in the encoder decoder fusion stage of U-Net. …”
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Robust Adaptive Multiple Backtracking VBKF for In-Motion Alignment of Low-Cost SINS/GNSS by Weiwei Lyu, Yingli Wang, Shuanggen Jin, Haocai Huang, Xiaojuan Tian, Jinling Wang

“…An adaptive multiple backtracking method is designed in which the window size can be dynamically adjusted based on the innovation gradient; thus, the alignment time can be significantly shortened. …”
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Layer‐Level Adaptive Gradient Perturbation Protecting Deep Learning Based on Differential Privacy by Zhang Xiangfei, Zhang Qingchen, Jiang Liming

“…The adjustment magnitude depends on the training iterations and is automatically determined based on the iteration count. This dynamic allocation provides a simple process for adjusting privacy budgets, alleviating the burden on users to tweak parameters and ensuring that privacy preservation strategies align with training progress. …”
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Research on Microscale Vehicle Logo Detection Based on Real-Time DEtection TRansformer (RT-DETR) by Meiting Jin, Junxing Zhang

“…Vehicle logo detection (VLD) is a critical component of intelligent transportation systems (ITS), particularly for vehicle identification and management in dynamic traffic environments. However, traditional object detection methods are often constrained by image resolution, with vehicle logos in existing datasets typically measuring 32 × 32 pixels. …”
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Intensive study, tuning and modification of reactive routing approach to improve flat FANET performance in data collection scenario by Basma M. Mohammad El-Basioni

“…The approaches followed to address this issue include designing from scratch a routing protocol specific to FANET or modifying the existing protocols. …”
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