A One-Stage HMDV Algorithm Applied in Multitarget Detection in SAR Images by Lei Pang, Weihe Huang, Fengli Zhang, Yinhong Song

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Archéologie et nouvelles technologies appliquées à l’étude des dynamiques contemporaines de destruction du patrimoine culturel : le cas du pillage en Méso-Amérique by Aura Fossati

“…Structuring data and standardizing processes aim to create an interoperable information system for spatial and statistical analysis and predictive model development. …”
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Experimental Observation of Laser Planar Trapping by Silvânia A. Carvalho, Stefano De Leo

“…Empirical results exhibit exceptional agreement with a recently proposed theoretical model, validating its predictive capability. Crucially, our findings highlight transverse symmetry breaking as a critical tool for tailoring beam profiles, advancing applications in optical trapping, structured light systems, and photonic device engineering, where symmetry manipulation unlocks new degrees of freedom in light–matter interactions.…”
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Resolving tumor microenvironment heterogeneity to forecast immunotherapy response in triple-negative breast cancer through multi-scale analysis by Shihao Sun, Shuang Chen, Kaiyuan Li, Ge Zhang, Ge Zhang, Ge Zhang, Nan Wang, Yijia Xu, Xinxing Wang, Jiangrui Chi, Lin Li, Yi Sun

“…Moreover, ISG15 may serve as an immunoregulatory biomarker, and the proposed predictive model demonstrated potential in forecasting immunotherapy response, although further validation is needed.ConclusionsThis study highlighted the cellular heterogeneity of TNBC and identified ISG15 as a candidate biomarker potentially associated with treatment response. …”
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A Machine Learning Framework for Urban Ventilation Corridor Identification Using LBM and Morphological Indices by Bu Yu, Peng Xie

“…The results show that the proposed method can accurately predict spatial wind speed patterns and identify both primary and secondary ventilation corridors. …”
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Practices of Constructing Regional Identity in the Media Discourse of Tatarstan by O. V. Ilyina, E. V. Kablukov

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Finite analytic method for simulating water flow using water content-based Richards' equation by Zai-yong Zhang, Da Xu, Cheng-cheng Gong, Bin Ran, Xue-ke Wang, Wan-yu Zhang, Jun-zuo Pan

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Using geographically weighted regression analysis to cluster under-nutrition and its predictors among under-five children in Ethiopia: Evidence from demographic and health survey. by Amare Muche, Mequannent Sharew Melaku, Erkihun Tadesse Amsalu, Metadel Adane

“…Geographically weighted regression (GWR) version 4.0 software was used to model spatial relationships in the GWR analysis. …”
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Improving Tiny Object Detection in Aerial Images with Yolov5 by Ahmed Sharba, Hussain Kanaan

“…This paper proposes improvements to the You Only Look Once version 5 (YOLOv5) model to enhance small object detection. Key modifications include adding a new prediction head with a 160×160 feature map, replacing the Sigmoid Linear Unit (SiLU) activation function with the Exponential Linear Unit (ELU), and swapping the Spatial Pyramid Pooling – Fast (SPPF) module with the Spatial Pyramid Pooling (SPP) module. …”
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UAV-Based Multispectral Winter Wheat Growth Monitoring with Adaptive Weight Allocation by Lulu Zhang, Xiaowen Wang, Huanhuan Zhang, Bo Zhang, Jin Zhang, Xinkang Hu, Xintong Du, Jianrong Cai, Weidong Jia, Chundu Wu

“…Based on the optimal growth inversion model for winter wheat, spatial distribution of wheat growth in the study area is obtained. …”
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Neuromorphic chips for biomedical engineering by Kaiyang Wang, Shuhui Ren, Yunfang Jia, Xiaobing Yan, Lizhen Wang, Yubo Fan

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Mineral prospectivity mapping using geological map semantic knowledge graph embedding: a case study of gold prospecting in Ankang, Shaanxi Province, China by Qun Yan, Linfu Xue, Yongsheng Li, Rui Wang, Ke Ding, Zhenglin Xu

“…To improve the model’s ability to learn the complex variations in geospatial features, we employ the Conformer deep learning model for gold prospectivity prediction. …”
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Specific features of cognitive skill development in athletes of situational sports by Vyacheslav Romanenko, Yrui Tropin, Leonid Podrigalo, Natalya Boychenko, Anatoly Abdula, Nataliia Sereda, Yaroslav Yatsiv

“…Based on discriminant analysis of the psychophysiological testing results, a model with a predictive accuracy of 72.5% was developed, allowing for the classification of respondents into their respective sport groups (football, judo, taekwondo). …”
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Evaluating Regional Variability in Road Closure Outcomes Due to Rainfall: a Logistic Regression Approach by H. Zhong, D. Liang, D. Liang

“…Finally, a watershed delineation approach substantially improved the model's predictive power and sensitivity.</p>…”
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Error Quantification of Gaussian Process Regression for Extracting Eulerian Velocity Fields from Ocean Drifters by Junfei Xia, Mohamed Iskandarani, Rafael C. Gonçalves, Tamay Özgökmen

“…Using six metrics, GPR predictions are evaluated on a double-gyre model and a Navy Coastal Ocean Model (NCOM). …”
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Spatiotemporal distribution patterns and influencing factors of marathon events: A case study of Shandong province, China by Xinlong Zhao, Yan Wang, Junjin Chen

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Numerical simulation of UGS facilities rebuilt from oil reservoirs based on the coupling of seepage and temperature fields by HE Haiyan, LIU Xianshan, GENG Shaoyang, SUN Junchang, SUN Yanchun, JIA Qian

“…To improve the accuracy of index prediction for a UGS rebuilt from a complex fault block oil reservoir, combined with fluid viscosity-temperature and high-velocity turbulence experiments, a coupled mathematical model of seepage and temperature is established. …”
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Crowding results from optimal integration of visual targets with contextual information by Guido Marco Cicchini, Giovanni D’Errico, David Charles Burr

“…Each of these predictions were supported, and could be simulated with ideal-observer models that maximize performance. …”
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Prognostic and therapeutic potential of disulfidptosis-related genes in colon adenocarcinoma: a comprehensive multi-omics study by Ye Song, Haoran Zhu, Junyang Wei, Shanxue Yin

“…Conclusion The DRG-based prognostic model demonstrated strong predictive power in COAD, highlighting the potential of DRGs as therapeutic targets. …”
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Physical processes influencing the Asian climate due to black carbon emission over East Asia and South Asia by F. Luo, B. H. Samset, C. W. Stjern, M. Joshi, L. J. Wilcox, R. J. Allen, W. Hua, S. Li, S. Li

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