STRUCTURAL AND FUNCTIONAL CHANGES IN HIPPOCAMPAL NEURONS AFTER SURGERY UNDER ANESTHESIA WITH SEVOFLURANE (experimental research) by G. Yu. Yukina, V. V. Tomson, Yu. S. Polushin, I. V. Belozertseva, A. Yu. Polushin, V. O. Krivov, S. N. Yanishevskiy

“…No pericellular and perivascular edema was detected. In the experimental group, all fields of the hippocampus had structural and functional changes. …”
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Serum extracellular matrix biomarkers in rheumatoid arthritis, psoriatic arthritis and psoriasis and their association with hand function by Helena Port, Birte Coppers, Sonja Tragl, Eva Manger, Lisa M. Niemiec, Sara Bayat, David Simon, Filippo Fagni, Giulia Corte, Anne-Christine Bay-Jensen, Koray Tascilar, Axel J. Hueber, Katja G. Schmidt, Verena Schönau, Michael Sticherling, Simon Heinrich, Sigrid Leyendecker, Daniela Bohr, Georg Schett, Arnd Kleyer, Signe Holm Nielsen, Anna-Maria Liphardt

“…ECM catabolic (C1M, C2M, C3M, C4M, PRO-C4, C6M, ARG), formation (PRO-C1, PRO-C3, PRO-C6) and inflammation biomarkers (VICM) were measured in serum from all patients. Objective hand function (fine motor skills (Moberg-Picking-Up Test), isometric grip strength (dynamometer) and patient-perceived hand function (Michigan Hand Questionnaire (MHQ)) were assessed. …”
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YOLOv8n-SSDW: A Lightweight and Accurate Model for Barnyard Grass Detection in Fields by Yan Sun, Hanrui Guo, Xiaoan Chen, Mengqi Li, Bing Fang, Yingli Cao

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Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module by Chenrui Kang, Lin Jiao, Kang Liu, Zhigui Liu, Rujing Wang

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A scalable multi-modal learning fruit detection algorithm for dynamic environments by Liang Mao, Liang Mao, Zihao Guo, Mingzhe Liu, Yue Li, Linlin Wang, Jie Li

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G2Grad-CAMRL: An Object Detection and Interpretation Model Based on Gradient-Weighted Class Activation Mapping and Reinforcement Learning in Remote Sensing Images by Shoulin Yin, Liguo Wang, Muhammad Shafiq, Lin Teng, Asif Ali Laghari, Muhammad Faizan Khan

“…Aiming at the complex background of RSIs and the lack of interpretability of existing target detection models, and the problems in feature extraction between different network structures, different layers, and the accuracy of target classification, we propose an object detection and interpretation model based on gradient-weighted class activation mapping and reinforcement learning. …”
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Features of the Application of the Detection Algorithm Based on the Background Subtraction Method in the Scanning Optoelectronic Surveillance System by E. I. Mikhnionok, A. V. Khizniak

“…At the same time, this method provides a solution to the tasks of protecting a critical object with an optoelectronic surveillance system, which must function both in stationary and scanning mode. …”
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Application of Modern Technical Means of Chemical Reconnaissance and Control for the Detection and Identification of Explosives by V. A. Inozemcev, I. N. Efimov, A. A. Pozvonkov, А. S. Samorodov, V. N. Ponomarev, S. S. Kolbinev

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YOLOv7-DWS: tea bud recognition and detection network in multi-density environment via improved YOLOv7 by Xiaoming Wang, Xiaoming Wang, Zhenlong Wu, Guannan Xiao, Guannan Xiao, Chongyang Han, Cheng Fang

“…In order to realize the recognition and grading of tea buds in a complex multi-density tea garden environment.MethodsThis paper proposes an improved YOLOv7 object detection algorithm, called YOLOv7-DWS, which focuses on improving the accuracy of tea recognition. …”
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SRW-YOLO: A Detection Model for Environmental Risk Factors During the Grid Construction Phase by Yu Zhao, Fei Liu, Qiang He, Fang Liu, Xiaohu Sun, Jiyong Zhang

“…Finally, a dynamic non-monotonic focusing mechanism WIoU v3 loss function is employed to reweigh low-quality annotations, thereby improving small-object localization accuracy. …”
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Efficient vision transformers with edge enhancement for robust small target detection in drone-based remote sensing by Xuguang Zhu, Zhizhao Zhang

“…Small object detection in UAV remote sensing imagery faces significant challenges due to scale variations, background clutter, and real-time processing requirements. …”
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DAMI-YOLOv8l: A multi-scale detection framework for light-trapping insect pest monitoring by Xiao Chen, Xinting Yang, Huan Hu, Tianjun Li, Zijie Zhou, Wenyong Li

“…However, currently the small size and multi-scale characteristics of insect pests pose significant challenges for accurate object detection using computer vision technology. …”
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Application of Roadside Perception Method Based on Improved DeepSORT in Surface Mine by YUE Wei, LIN Jun, KANG Gaoqiang, YOU Jun, XU Yanghan, TONG Hao

“…Then, the improved DeepSORT algorithm tracks the identified objects in real-time, enabling statistical analysis to provide various functions, including vehicle traffic statistics, abnormal parking detection and pedestrian intrusion detection. …”
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Effect of Acupuncture Treatment on Cortical Activation in Patients With Tinnitus: A Functional Near-Infrared Spectroscopy Study by Xianghua Yu, Bin Gong, Hao Yang, Zheng Wang, Gaowei Qi, Jie Sun, Yu Fang, Xiaoli Fan

“…However, tinnitus is a subjective symptom of patients, and there is currently no objective detection method to reflect the improvement effect of acupuncture on tinnitus. …”
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EDT-Net: A Lightweight Tunnel Water Leakage Detection Network Based on LiDAR Point Clouds Intensity Images by Zhenyu Liu, Xianjun Gao, Yuanwei Yang, Lei Xu, Shaoning Wang, Ningsheng Chen, Zhiwei Wang, Yuan Kou

“…Moreover, we developed a dynamic threshold adaptive loss function that automatically adjusts the loss function based on leakage detection performance to enhance the model's ability to detect challenging targets. …”
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Improvement in Pavement Defect Scenarios Using an Improved YOLOv10 with ECA Attention, RefConv and WIoU by Xiaolin Zhang, Lei Lu, Hanyun Luo, Lei Wang

“…This study addresses challenges such as multi-scale defects, varying lighting, and irregular shapes by proposing an improved YOLOv10 model that integrates the ECA attention mechanism, RefConv feature enhancement module, and WIoU loss function for complex pavement defect detection. The RefConv dual-branch structure achieves feature complementarity between local details and global context (mAP increased by 2.1%), the ECA mechanism models channel relationships using 1D convolution (small-object recall rate increased by 27%), and the WIoU loss optimizes difficult sample regression through a dynamic weighting mechanism (location accuracy improved by 37%). …”
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Response Inhibition, Attention and Processing Speed in Male Athlete and Non-athlete Adolescents by Saeideh Ayoubi, Nazgol Behgam, Dena Sadeghi-Bahmani, Hora Heidari, Zhila Maghbooli, Sharareh Eskandarieh

“…Background: Executive functions (EFs) are essential in controlling thoughts, emotions, and behavior. …”
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Improved Multi-Size, Multi-Target and 3D Position Detection Network for Flowering Chinese Cabbage Based on YOLOv8 by Yuanqing Shui, Kai Yuan, Mengcheng Wu, Zuoxi Zhao

“…This study proposes a YOLOv8-Improved network integrated with the ByteTrack tracking algorithm to achieve multi-object detection and 3D positioning of flowering Chinese cabbage plants in fields. …”
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The effect of evaluation of dry weight using bioimpedance method on residual renal function in maintenance hemodialysis patients by YANG Fan, LIU Xiao-jing, JIN Li-qin, YUAN Dan, JIAO Jian, CAO Qian-ying, LI Zhong-xin

“…Objective To evaluate the dry weight of maintenance hemodialysis(MHD) patients using bioimpedance method and to observe the protective effect of the accurate evaluation of dry weight on residual renal function in patients with MHD. …”
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Value of three-dimensional speckle-tracking imaging in assessing left atrial function in patients with cirrhotic cardiomyopathy by LI Siyu, ZHANG Yajun, JIANG Jia'nan, MA Jianmin, SUN Ruicong, HE Xiangqin

“…Objective To investigate the value of three-dimensional speckle-tracking imaging (3D-STI) in assessing left atrial function in patients with cirrhotic cardiomyopathy (CCM). …”
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