Online Intelligent Monitoring System and Key Technologies for Dam Operation Safety by Shuangping Li, Bin Zhang, Guangqin Tong, Yonghua Li, Zuqiang Liu, Bo Shi, Jun Geng, Dingming Liu, Huawei Wang, Qingsong Ai, Jianxin Ding, Zheng Gan

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Primer on machine learning applications in brain immunology by Niklas Binder, Ashkan Khavaran, Roman Sankowski

“…Newly developed foundation models present exciting opportunities for uncovering gene expression programs and predicting genetic perturbations. …”
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Research on conflict resolution control strategy for vehicles and aircrafts on airport surface by Haiyan Zhang, Jian Zhang, Feng Zhu, Pinzheng Qian, Han Jiang, Xuejian Yao

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XCF-LSTMSATNet: A Classification Approach for EEG Signals Evoked by Dynamic Random Dot Stereograms by Tingting Zhang, Xu Yan, Xin Chen, Yi Mao

“…In the end, both temporal and spatial features are integrated into the classification module, enabling precise prediction across three categories of EEG signals. …”
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Gradients in signal complexity of sleep-wake intracerebral EEG. by Giridhar Kalamangalam, Ioan Mircea Chelaru, Abbas Babajani-Feremi

“…Spatial variation in the morphology of the electroencephalogram (EEG) over the head is classically described. …”
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Physical and AI-Based Algorithms for Retrieving Cloud Liquid Water and Total Precipitable Water from Microwave Observation by Wenxiang Chen, Yang Han, Fuzhong Weng, Hao Hu, Jun Yang

“…Collocated with ERA5 reanalysis data, the MLP model predicts SST well, with a correlation coefficient of 0.98, the root mean squared error (RMSE) of 1.10, and mean absolute error (MAE) of 0.70 K. …”
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Optimal control of interactions between invasive alien and native species in a certain time period with the r-PINN approach by Yudi Ari Adi, Danang A. Pratama, Maharani A. Bakar, Sugiyarto Surono, Suparman, Agung Budiantoro

“…The implementation of the optimal control strategy led to a clear increase in native species populations and effective suppression of invasive species across spatial and temporal domains. Overall, the r-PINN framework offers a reliable and computationally efficient tool for solving nonlinear ecological models involving spatiotemporal control of species populations.…”
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Learning spatio-temporal context for basketball action pose estimation with a multi-stream network by Zhihao Zhang, Wenyue Liu, Yuan Zheng, Linkang Du, Lezhong Sun

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Selecting the best habitat mapping technique: a comparative assessment for fisheries management in Exmouth Gulf by Scott N. Evans, Scott N. Evans, Nick Konzewitsch, Renae K. Hovey, Gary A. Kendrick, Lynda M. Bellchambers

“…While advances in remote sensing, acoustic methodologies, geostatistical modelling, and predictive species distribution models have improved our ability to map underwater habitats, selecting the most appropriate approach, particularly in turbid or remote regions, remains challenging. …”
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Spatiotemporal dynamics of ecological quality and its drivers in Shanxi Province and its planned mining areas by Lulu Chen, Huabin Chai, Weibing Du, Zengzeng Lian, Yu Wang, Chunyi Li, Lailiang Cai, Lei Zhang

“…The GWR model further reveals spatial heterogeneity in these relationships, uncovering localized effects, spatial gradient patterns, and clustering phenomena. …”
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Attention residual network for medical ultrasound image segmentation by Honghua Liu, Peiqin Zhang, Jiamin Hu, Yini Huang, Shanshan Zuo, Lu Li, Mailan Liu, Chang She

“…Finally, the predictive efficacy of the model was evaluated using publicly accessible breast ultrasound and thyroid ultrasound data. …”
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Spatiotemporal patterns and influencing factors of genotypic resistance testing utilization among people living with HIV: A 10-year retrospective analysis at a tertiary care hospit... by Defu Yuan, Fei Zhao, Shanshan Liu, Li Li, Hongxia Yan, Lifeng Liu, Tong Zhang, Christiane Moog, Bei Wang, Bin Su

“…Prior research indicated low genotypic resistance testing (GRT) for human immunodeficiency virus (HIV) utilization in China due to partial cost coverage under national antiretroviral therapy policies, limited testing accessibility, and financial barriers. Temporal and spatial data on GRT trends were also scarce. We analyzed GRT patterns among 6,895 untreated individuals at a tertiary hospital using Joinpoint regression, multivariable logistic modeling, and spatial analysis (GeoDa/SatScan). …”
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Research on carbon compensation zoning guided by major function zones: A case study of the Yangtze River Delta region by Rui Shen, Yinan Yang, Jialong Xu, Li Wang, Yuhang Jiang, Yujing Xie, Yuan Wang

“…Observing spatial inequities in carbon dynamics at fine scales is critical for formulating precise zoning policies and emission reduction strategies. …”
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3-D fracture network reconstruction and quantitative fractal analysis of subsurface rock fractures via integrated CT scanning and box-counting dimension methodology by Hongjian Wu, Xiangwei Kong, Xing Chen, Dianwei Guan

“…These innovations collectively advance fracture network analysis from qualitative description to true multi-parameter predictive modeling, addressing critical gaps in current practice.…”
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Organoid‐Guided Precision Medicine: From Bench to Bedside by Boqiang Tao, Xiaolan Li, Ming Hao, Tian Tian, Yuyang Li, Xiang Li, Chun Yang, Qirong Li, Qiang Feng, Hengzong Zhou, Yicheng Zhao, Dongxu Wang, Weiwei Liu

“…Future integration of artificial intelligence, microfluidics, and spatial transcriptomics will enhance organoid scalability, reproducibility, and clinical relevance. …”
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Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture by Gauri Kalnoor, Vijayalaxmi Kadrolli

“…This ADCU-Net model is particularly selected to effectively capture various features and preserve spatial data, achieving98.4% accuracy. …”
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Seasonal El Niño‐Southern Oscillation and Indian Ocean Dipole Dependencies of Methane Emissions From Wetlands by Tingting Zhu, Yanlian Zhou, Weimin Ju

“…This study underscored the pronounced temporal and spatial variability of CH4 emission anomalies under ENSO and IOD phases, which would improve the accuracy of predictive CH4 models and inform strategies for mitigating climate change.…”
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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

“…Evaluated on the SND Sun Salutation Yoga Dataset released in 2024, the improved model achieves a real-time processing speed of 85.79 frames per second (FPS) on an RTX 3060 platform, with an 18% reduction in computational cost compared to the baseline. …”
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Development of a high-resolution dataset of future monthly surface solar radiation by combining CMIP6 projections and satellite-based retrievals by Jun-Mei He, Liang Hong, Ning Lu, Chang-Kun Shao, Kun Yang, Wen-Jun Tang

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Deep learning microphone array speech enhancement for multiple speaker separation by Zhang Jiayang, Tong Feng, Chen Dongsheng, Huang Huixiang

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