A Patch-Wise Mechanism for Enhancing Sparse Radar Echo Extrapolation in Precipitation Nowcasting by Yueting Wang, Hou Jiang, Tang Liu, Ling Yao, Chenghu Zhou

“…Spatial visualizations of radar echoes reveal PW's superior in predicting localized and intense precipitation. …”
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Design of a Contact-Type Electrostatic Spray Boom System Based on Rod-Plate Electrode Structure and Field Experiments on Droplet Deposition Distribution by Hao Sun, Changxi Liu, Yufei Li, Hang Shi, Shengxue Zhao, Miao Wu, Jun Hu

“…The reliability of the device was verified through COMSOL numerical simulations, charge-to-mass ratio, droplet size, and droplet size spectrum measurements, and a droplet size prediction model was established. The deposition characteristics in soybean fields were analyzed using the Box–Behnken experimental design method. …”
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Spatiotemporal Analysis of Soil Moisture Variability and Precipitation Response Across Soil Texture Classes in East Kazakhstan by Dmitry Chernykh, Roman Biryukov, Andrey Bondarovich, Lilia Lubenets, Anatoly Pavlenko, Kamilla Rakhymbek, Denis Revenko, Zheniskul Zhantassova

“…The study of the hydrological regimes of rivers in different regions of the globe has revealed the need to include the soil moisture content in flood prediction models. This paper investigates the nature of the dependence of soil moisture content on soil texture in the East Kazakhstan region. …”
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Trends of Desertification Change and Its Driving Factors in Aksu Region by Zheng Jiaxiang, Sun Guili, Su Xiangling, Ran Yajun, Zheng Xu

“…The mode and intensity of action showed enhancement and non-linear enhancement, respectively. ③ The prediction results from the CA-Markov model showed that if the driving factors did not change, the degree of desertification in the Aksu region would continue to reverse during 2019—2024, and the overall change for the area would be from extremely severe desertification to severe desertification. …”
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Plasmodium vivax malaria endemicity in Indonesia in 2010. by Iqbal R F Elyazar, Peter W Gething, Anand P Patil, Hanifah Rogayah, Elvieda Sariwati, Niken W Palupi, Siti N Tarmizi, Rita Kusriastuti, J Kevin Baird, Simon I Hay

“…Detailed understanding of the contemporary spatial distribution of this parasite is needed to combat it. …”
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A Study on the CO2-Enhanced Water Recovery Efficiency and Reservoir Pressure Control Strategies by Zhijie Yang, Tianfu Xu, Fugang Wang, Yujie Diao, Xufeng Li, Xin Ma, Hailong Tian

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Epigenetic-modification associated hnRNPA3 acts as a prognostic biomarker and promotes malignant progression of HCC by Xufan Cai, Weihui Guo, Fang Wu, Weilang Xu, Tao Ding, Yizhe Diao, Lei Wang, Zhenyuan Qian, Guangyuan Song

“…Logistic regression, receiver operating characteristic curve (ROC), Kaplan–Meier analysis, and nomogram modeling were used to evaluate prognostic values of hnRNPA3 in HCC. hnRNPA3 level in cell subtypes in HCC tumor microenvironment was analysed through spatial transcriptomic. …”
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Essential service accessibility and contribution to quality of life: a systematic review by Sarah M Wood, Kira Page, Emma Baker, Hannah Beks, Marley J Binder, Marcus Blake, Vincent L Versace, Neil T Coffee

“…This gap hinders a detailed spatial understanding of essential service provision, access, and influence on populations. …”
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Assessing Uneven Regional Development Using Nighttime Light Satellite Data and Machine Learning Methods: Evidence from County-Level Improved HDI in China by Xiping Zhang, Jianbin Xu, Saiying Zhong, Ziheng Wang

“…Subsequently, NTL data are utilized to infer the spatial distribution characteristics of the improved HDI across China’s county-level regions. …”
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Balancing accuracy versus precision: Enhancing the usability of sub-seasonal forecasts by Etienne Dunn-Sigouin, Erik W. Kolstad, C. Ole Wulff, Douglas J. Parker, Richard J. Keane

“…Forecasts are essential for climate adaptation and preparedness, such as in early warning systems and impact models. A key limitation to their practical use is often their coarse spatial grid spacing. …”
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A lightweight semantic segmentation method for concrete bridge surface diseases based on improved DeeplabV3+ by Zhiyuan Yu, Chunquan Dai, Xiaoming Zeng, Yunlong Lv, Haisheng Li

“…Firstly, the lightweight improved MobileNetV3 was used as the backbone network to reduce the computational complexity of the model. Secondly, the CSF-ASPP (cross scale fusion atrous spatial pyramid pooling) module was designed to expand the receptive field, enable the model to capture more contextual information at different scales and improve its anti-interference ability. …”
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Large-Scale Cortical Network Analysis and Classification of MI-BCI Tasks Based on Bayesian Nonnegative Matrix Factorization by Shiqi Yu, Bin Mao, Yuanhang Zhou, Yunhong Liu, Chanlin Yi, Fali Li, Dezhong Yao, Peng Xu, X. San Liang, Tao Zhang

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Augmented Reality and Computational Simulations for the Preprocedural Planning of Transcatheter Aortic Valve Replacement After Previous Transcatheter Mitral Valve Replacement by Roberta Scuoppo, Chiara Catalano, Eleonora Costagliola, Stefano Cannata, Salvatore Pasta, Caterina Gandolfo

“…This study explores the feasibility and safety of performing TAVR in a patient with a pre-existing TMVR procedure using 3D printing, augmented reality (AR) and computational simulations to optimize preprocedural planning. Computational modeling allowed predictions of the spatial relationship between the TAVR and TMVR devices. …”
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Building the foundation for international conservation planning for breeding ducks across the U.S. and Canadian border. by Kevin E Doherty, Jeffrey S Evans, Johann Walker, James H Devries, David W Howerter

“…Our spatial population models were able to identify key areas for duck conservation across the PPR and predict between 62.1-79.1% (68.4% avg.) of the variation in duck counts by year from 2002-2010. …”
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A planning framework for intra-city electric bus road transportation systems by Yogesh Pandey, Praveen Kumar Agrawal, Nikhil Gupta, K.R. Niazi, Anil Swarnkar

“…The proposed framework envisages a bus fleet charging model and financial model within the spatial, technical, and financial constraints yet preserves the interests of electric utilities and investors by providing tentative solutions with all information necessary from the investor’s perspective. …”
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FECI-RTDETR a Lightweight Unmanned Aerial Vehicle Infrared Small Target Detector Algorithm Based on RT-DETR by Renzheng Xue, Shijie Hua, Haiqiang Xu

“…The mAP50 and mAP50:95 metrics improved by 4.2% and 2.9%, respectively, with the mAP50 reaching 84.2%. This algorithmic model achieves a balance between resource reduction and accuracy enhancement while maintaining lightweight characteristics.…”
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The green potential of the digital economy in balancing economic growth and carbon emissions by Conghui Bai, Xuyang Du, Soo Yean Chua

“…This study aims to investigate the impact of digital economy on carbon efficiency across 287 Chinese cities from 2000 to 2021, based on benchmarks regression, threshold effect model, spatial effect regression, mechanism analysis, heterogeneity analysis, and difference-in-difference analysis. …”
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An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention by Bin Jiang, Hao Wu, Qingling Xia, Hanguang Xiao, Bo Peng, Li Wang, Yun Zhao

“…It uses fast dimensionality reduction, asymmetric convolution decomposition, and pooling to suppress the accumulation of parameters, then reducing the algorithmic complexity; The ECA is adopted to reweight the output features of Inception in different channels, enabling the RIE model to focus on information that is more relevant to gestures. 52-, 49-, and 52-class gesture recognition experiments are conducted on NinaPro DB1, DB3, and DB4 datasets, which contain 14,040, 3234, and 3120 gesture samples, respectively. …”
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Decision support system for Lespedeza cuneata production and quality evaluation: a WebGIS dashboard approach to precision agriculture by Sudhanshu S. Panda, Aftab Siddique, Thomas H. Terrill, Ajit K. Mahapatra, Eric Morgan, Andres A. Pech-Cervantes, Jan A. van Wyk

“…The model incorporates multi-criteria environmental parameters, including soil characteristics, topography, and climate variability, to generate spatially explicit recommendations. …”
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Berg Balance Scale Scoring System for Balance Evaluation by Leveraging Attention-Based Deep Learning with Wearable IMU Sensors by Zhangli Lu, Huiying Zhou, Honghao Lyu, Haiteng Wu, Shaohua Tian, Geng Yang

“…Thus, to address the limitations of manual scoring and complexities of capturing gait features, we proposed an automated BBS assessment system using an attention-based deep learning algorithm with IMU data, integrating convolutional neural networks (CNNs) for spatial feature extraction, bidirectional long short-term memory (Bi-LSTM) networks for temporal modeling, and attention mechanisms to emphasize informative features. …”
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