A Novel Hand Teleoperation Method with Force and Vibrotactile Feedback Based on Dynamic Compliant Primitives Controller by Peixuan Hu, Xiao Huang, Yunlai Wang, Hui Li, Zhihong Jiang

“…This bidirectional feedback loop increases the success rate of teleoperation and reduces operator fatigue, improving overall performance. …”
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YED-Net: Yoga Exercise Dynamics Monitoring with YOLOv11-ECA-Enhanced Detection and DeepSORT Tracking by Youyu Zhou, Shu Dong, Hao Sheng, Wei Ke

“…Ablation studies confirm that the ECA module, implemented via lightweight 1D convolution, enhances channel attention modeling efficiency by 23% compared to the original SE module and reduces the false detection rate by 1.2 times under complex backgrounds. …”
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YOLOv8n-RF: A Dynamic Remote Control Finger Recognition Method for Suppressing False Detection by Yawen Wang, Gaofeng Wang, Yining Yao

“…Addressing the issues of false detection and high detection costs in gesture recognition algorithms for gesture interaction, this paper proposes the YOLOv8n-Remote Finger (YOLOv8n-RF) algorithm for dynamic remote control finger detection. This algorithm utilizes the CRVB-DSConvEMA module in the feature extraction network, adopts the SPPF-DSConvEMA module in the downsampling process, and introduces BiFPN in the Neck layer. …”
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Jiangu Granules Regulates Endoplasmic Reticulum Stress-Induced Apoptosis in UMR-106 Cells by Modulating the PERK/eIF2α/ATF4/CHOP Pathway by CHEN Sainan, ZHOU Fen, HUANG Yunmei, LIN Yanping

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Improved YOLOv8-Based Algorithm for Citrus Leaf Disease Detection by Zhengbing Zheng, Yibang Zhang, Luchao Sun

“…The improved model notably decreases the missed detection rate under occlusion and improves the detection of small targets. …”
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UMFNet: Frequency-Guided Multi-Scale Fusion with Dynamic Noise Suppression for Robust Low-Light Object Detection by Shihao Gong, Zheng Ma, Xiang Li

“…Our technical breakthroughs manifest through three key innovations: (1) a frequency-adaptive fusion (FAF) module employing learnable wavelet kernels (16–64 decomposition basis) with dynamic SNR-gated thresholding, achieving an 89.7% photon utilization rate in ≤1 lux conditions—2.4× higher than fixed-basis approaches; (2) a spatial-channel coordinated attention (SCCA) mechanism with dual-domain nonlinear gating that reduces high-frequency hallucination by 37% through parametric phase alignment (verified via gradient direction alignment coefficient <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi>ρ</mi><mi>G</mi></msub></semantics></math></inline-formula> = 0.93); (3) a spectral perception loss combining the frequency-weighted structural similarity index measure (SSIM) with gradient-aware focal modulation, enforcing physics-constrained feature recovery. …”
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Heat Removal Performance Analysis of HTR-PM Reactor Cavity Cooling System under Accident Condition by QIN Haiqi, LI Xiaowei, ZHANG Li, LIU Xiongbin, ZHENG Yanhua, WU Xinxin

“…Moreover, the heat transfer rate distributions of the concrete inner and outer walls are determined. …”
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Measurement of the dynamic axial load-share ratio in vivo could indicate sufficient callus healing in external fixators by Xuefei Fu, Sida Liu, Na Wang, Yi Ji, Lin Lu, Tao Chen, Mingyong Gu, Zhiwei Chai, Defu Yu, Yancheng Liu, Jun Miao

“…This paper presents an innovative method for measuring the callus stiffness in vivo to evaluate fracture healing, further instructing surgeons to remove external fixator safely. Methods A novel dynamic axial load-share ratio (D-LS) index and its associated measuring system was introduced, including the system’s composition (hexapod and insole modules), theoretical model, and method for D-LS measurement. …”
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Land Use Change and Mangrove Restoration Modulate Heavy Metal Accumulation in Tropical Coastal Sediments: A Nearly Decade-Long Study from Hainan, China by Tingting Si, Penghua Qiu, Lei Li, Wenqian Zhou, Chuanzhao Chen, Qidong Shi, Meihuijuan Jiang, Yanli Yang

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Transformer-Based Multi-Target Object Detection and Tracking Framework for Robust Spatio-Temporal Memory in Dynamic Environments by Tareq Mahmod AlZubi, Umar Raza Mukhtar

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Electromyography-Based Gesture Recognition With Explainable AI (XAI): Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics by Jungpil Shin, Abu Saleh Musa Miah, Sota Konnai, Shu Hoshitaka, Pankoo Kim

“…The proposed model was tested on the Ninapro DB2, DB4, and DB5 datasets, achieving accuracy rates of 95.31%, 92.40%, and 93.34%, respectively. …”
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Individualized effort dynamics and monitoring-based training in sprint kayaking: a practical model for enhancing athlete performance by Aurel Alecu, Valentina Stefanica, Raul Ioan Muntean, Paul Florinel Visan, Ana Maria Tataru, Diana Hristache, Florin Cojanu

“…This study examined the effects of the Effort Dynamics Control Methodology (EDCM)—a metabolically anchored, feedback-driven model—on elite K1 1000m kayakers. …”
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A Low-Complexity Transformer-CNN Hybrid Model Combining Dynamic Attention for Remote Sensing Image Compression by L. L. Zhang，X. J. Wang，J. H. Liu, Q. Z. Fang

“…This framework includes two critical modules: the Dynamic Attention Model (DAM) and the Hyper-Prior Hybrid Attention Model (HPHAM). …”
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Dynamic Light Path and Bidirectional Reflectance Effects on Solar Noise in UAV-Borne Photon-Counting LiDAR by Kuifeng Luan, Jinhui Zheng, Wei Kong, Weidong Zhu, Lizhe Zhang, Peiyao Zhang, Lin Liu

“…We propose BNR-B, a bidirectional reflectance distribution function (BRDF)-based noise model that integrates solar-receiver geometry with micro-facet scattering dynamics. Validated via single-photon LiDAR field tests on diverse coastal terrains at Jiajing Island, China, BNR-B reveals the following: (1) Solar zenith/azimuth angles non-uniformly modulate noise fields—higher solar zenith angles reduce noise intensity and homogenize spatial distribution; (2) surface reflectivity linearly correlates with noise rate (R² > 0.99), while roughness governs scattering directionality through micro-facet redistribution. …”
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CISMN: A Chaos-Integrated Synaptic-Memory Network with Multi-Compartment Chaotic Dynamics for Robust Nonlinear Regression by Yaser Shahbazi, Mohsen Mokhtari Kashavar, Abbas Ghaffari, Mohammad Fotouhi, Siamak Pedrammehr

“…We present the Chaos-Integrated Synaptic-Memory Network (CISMN), which embeds controlled chaos across four modules—Chaotic Memory Cells, Chaotic Plasticity Layers, Chaotic Synapse Layers, and a Chaotic Attention Mechanism—supplemented by a logistic-map learning-rate schedule. …”
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Molecular investigations on exosome enriched in vitro maturation of bovine cumulus cells: Insights from cumulus cell dynamics by P. Parvathi, R.S. Abhilash, C. Jayakumar, H.M. Harshan, K.P. Magnus, G. Radhika, E. Kurian, P. Prathima, S.M. Saifudeen

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Dynamic changes of soluble ST2 levels predicted fatality and were involved in coagulopathy in dengue fever in the elderly. by Chih-Cheng Hsieh, Ming-Yuan Hong, Tzong-Shiann Ho, Ching-Chuan Liu, Guey-Chuen Perng, Chia-Chang Chuang

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Piezo1 deletion mitigates diabetic cardiomyopathy by maintaining mitochondrial dynamics via ERK/Drp1 pathway by Weipin Niu, Xin Liu, Bo Deng, Tianying Hong, Cuifen Wang, Yameng Yan, Jiali Liu, Yuehua Jiang, Jing Li

“…Conclusions This study provides the first evidence that Piezo1 is elevated in DCM through the modulation of mitochondrial dynamics, which is reversed by Piezo1 deficiency. …”
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Unmanned Aerial Vehicle–Unmanned Ground Vehicle Centric Visual Semantic Simultaneous Localization and Mapping Framework with Remote Interaction for Dynamic Scenarios by Chang Liu, Yang Zhang, Liqun Ma, Yong Huang, Keyan Liu, Guangwei Wang

“…Experimental validation across indoor and outdoor environments indicates that the system can achieve a detection rate of up to 75 frames per second (FPS) on an NVIDIA Jetson AGX Xavier using YOLO–FASTEST, ensuring the rapid identification of dynamic objects. …”
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Dynamic Modeling and Simulation of Wind Turbine Unit Primary Frequency Regulation Considering Multi-domain Coupling Characteristics by Zhanyang JI, Yang HU, Lingxing KONG, Ziqiu SONG, Dan DENG, Jizhen LIU

“…And then, the Spilman correlation analysis algorithm is used to select input and output variables with consideration of input and output delay orders, and the operational domain partitioning is completed, enabling adaptive identification and switching between operation regions both above and below the rated wind speed. Thirdly, based on balanced sampling of simulation operating data under discrete operating conditions, and guided by physical prior information, subspace identification and deep neural network algorithms are employed to conduct multi-input-multi-output modeling and simulation verification of the unit's primary frequency modulation dynamics across the full range of operating conditions. …”
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