Quantitative evaluation of hindlimb grip strength in mice as a measure of neuromuscular function by Yaochao Zheng, Alexander Lunn, Jinghui Gao, Hongyu Chen, Yao Yao

“…The wire-hanging test, though repeatable, does not explicitly isolate hindlimbs, while in vivo contractility testing requires deep anesthesia, potentially compromising accuracy. …”
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The Future Is Organic: A Deep Dive into Techniques and Applications for Real-Time Condition Monitoring in SASO Systems—A Systematic Review by Tim Nolte, Sven Tomforde

“…Although 58.18% implement some self-* features, only 42.19% present explicitly self-adaptive or self-organizing methods. …”
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Do generational diversity and perceived similarity improve team functioning in rural Chinese hospitals? A cross-sectional survey study by Martina Buljac-Samardžić, Joris van de Klundert, Jeroen van Wijngaarden, Hujie Wang

“…While research has revealed various positive and negative impacts of generational diversity on team functioning, the understanding of the mechanism explaining how generational diversity influences team functioning is still limited. …”
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A Multi-Task Learning Framework with Enhanced Cross-Level Semantic Consistency for Multi-Level Land Cover Classification by Shilin Tao, Haoyu Fu, Ruiqi Yang, Leiguang Wang

“…A hierarchical loss function is also embedded that explicitly models the semantic dependencies between levels, enhancing semantic consistency across levels. …”
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A DEM super resolution reconstruction method based on normalizing flow by Jie Yu, Yangtenglong Li, Xuan Bai, Ronghao Yang, Mengxue Cui, Haohao Wu, Zheng Li, Fangzheng Su, Ze Li, Taohuai Liang, Hongliang Yan

“…The negative log-likelihood function and pixel loss function are used to accelerate the optimization to generate high-resolution DEM images that are closer to the natural terrain. …”
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RTide: Automating the Tidal Response Method by Thomas Monahan, Tianning Tang, Stephen Roberts, Thomas A. A. Adcock

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Leveraging the Turnpike Effect for Mean Field Games Numerics by Rene A. Carmona, Claire Zeng

“…Recently, a deep-learning algorithm referred to as Deep Galerkin Method (DGM), has gained a lot of attention among those trying to solve numerically Mean Field Games with finite horizon, even if the performance seems to be decreasing significantly with increasing horizon. …”
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TableBorderNet: A Table Border Extraction Network Considering Topological Regularity by Jing Yang, Shengqiang Zhou, Xialing Li, Yuchun Huang, Honglin Jiang

“…To ensure topological consistency in complex or degraded inputs, a topology-aware loss function is introduced, which explicitly penalizes structural discontinuities during training. …”
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CCD-Net: Color-Correction Network Based on Dual-Branch Fusion of Different Color Spaces for Image Dehazing by Dongyu Chen, Haitao Zhao

“…Recent advancements in deep learning, particularly convolutional neural networks (CNNs), have shown significant improvements by directly learning features from hazy images to produce clear outputs. …”
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Learning Distributed Parameters of Land Surface Hydrologic Models Using a Generative Adversarial Network by Ruochen Sun, Baoxiang Pan, Qingyun Duan

“…By leveraging a deep neural network to discern model spatial biases, we train a generative network to produce spatially coherent parameter fields, minimizing distinctions between simulations and observations. …”
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Angular integrals with three denominators via IBP, mass reduction, dimensional shift, and differential equations by Juliane Haug, Fabian Wunder

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EDRNet: Edge-Enhanced Dynamic Routing Adaptive for Depth Completion by Fuyun Sun, Baoquan Li, Qiaomei Zhang

“…This technique has important application value in autonomous driving, robot navigation, and virtual reality. Currently, deep learning has become a mainstream method for depth completion. …”
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HMS-Net: A Hierarchical Multilabel Fine-Grained Ship Detection Network in Remote Sensing Images by Yunchao Yang, Zhengning Zhang, Pengming Feng, Yiming Yan, Guangjun He, Shaobo Liu, Pengyong Zhang, Haorao Gao

“…Furthermore, we design a hierarchical relationship constraint loss function to explicitly model interclass relationships among ships, optimizing feature distance measurements between different classes. …”
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Temporal Features-Fused Vision Retentive Network for Echocardiography Image Segmentation by Zhicheng Lin, Rongpu Cui, Limiao Ning, Jian Peng

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A novel multimodel medical image fusion framework with edge enhancement and cross-scale transformer by Fei Luo, Daoqi Wu, Luis Rojas Pino, Weichao Ding

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Knowledge injection methods in question answering by D. V. Radyush

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Dual-Branch Diffusion Detection Model for Photovoltaic Array and Hotspot Defect Detection in Infrared Images by Ruide Li, Wenjun Yan, Chaoqun Xia

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Evaluation of the effect of satellite motion on GNSS-R wind speed retrieval: insights from TRITON by Ming-Yi Chen, Hwa Chien, Hwa Chien, Wen-Hao Yeh, Li-Ching Lin, Yu-Fu Liou

“…Traditional geophysical model function (GMF) retrieval methods, which rely primarily on surface scattering assumptions, often neglect this orbital dynamic factor. …”
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Deploying UAV-based detection of bridge structural deterioration with pilgrimage walk optimization-lite for computer vision by Jui-Sheng Chou, Chi-Yun Liu, Pin-Jun Guo

“…Bridges are crucial components of national infrastructure, requiring rigorous maintenance and inspections to ensure their safety and functionality. Inspections are incredibly challenging and costly when accessing elevated bridge decks and substructures, particularly over riverbeds. …”
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MAHGA: Multi-Aspect Heterogeneous Graph Analysis for Harmful Speech Detection on Social Networks by Ryo Yoshida, Soh Yoshida, Mitsuji Muneyasu

“…Deep neural networks demonstrate high accuracy in detecting harmful social media posts; however, conventional text-based methods often overlook critical contextual relationships among posts, users, and shared information. …”
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