Exploring the Benefits of 3D Smart MRI in Resident Training and Surgical Planning for Transcervical Radiofrequency Ablation by Sepehr Janghorbani, Victoria Weprinsky, Alexandre Caprio, Tamatha Fenster, Bobak Mosadegh

“…Residents using Smart MRI reported higher confidence in identifying and treating all fibroids (83% vs. 43%) and rated their spatial understanding significantly higher on Likert-scale assessments (4.6 vs. 3.25). …”
Get full text

Investigating the Dynamic Change and Driving Force of Vegetation Carbon Sink in Taihang Mountain, China by Qiushi Qu, Sihui Jian, Anguo Chen, Chiwei Xiao

“…The results of this study can not only provide a reference for carbon reduction and sink increase and ecological restoration projects in the Taihang Mountains but also benefit the research paradigm of vegetation carbon sequestration in other regions.…”
Get full text

Detailed Numerical Simulation of Planar Liquid Sheet Atomization: Instability Dynamics, Ligament Formation, and Self-Destabilization Mechanisms by Ziting Zhao, Chenglin Zhou, Jianfeng Zou, Jiaqi Sun, Yufeng Yao

“…This work provides critical insights for refining engineering atomization models through physics-based ligament diameter prediction criteria.…”
Get full text

Nitrogen addition enhances soil carbon and nutrient dynamics in Chinese croplands: a machine learning and nationwide synthesis by Yu Li, Yuan Li

“…We further developed the high-resolution (5 km) national-scale dataset that predicts the spatial responses of SOC and nutrient dynamics to nitrogen addition across China. …”
Get full text

LSL-SS-Net: level set loss-guided semantic segmentation networks for landslide extraction by Yueheng Yang, Zelang Miao, Xiaojing Li, Hua Zhang, Shuai Chen

“…However, typical loss functions have several challenges and shortcomings, including difficulty in handling objects of different scales and neglecting spatial correlation. These drawbacks hinder semantic segmentation networks from solely concentrating on accurately predicting landslide categories with rich semantic information. …”
Get full text

Seasonal synchronization of influenza in the United States older adult population. by Julia B Wenger, Elena N Naumova

“…We found that individual influenza seasons showed spatial synchrony with consistent late or early timing occurring across all 48 states during each influenza season in comparison to the overall average. …”
Get full text

A Framework for Estimating the Probability Distribution of Event Runoff Coefficient in Ungauged Catchments by Yanchen Zheng, Gemma Coxon, Ross Woods, Jianzhu Li, Ping Feng

“…The results indicate that similar pre‐event catchment conditions may cause distinct runoff response in different catchments, thus predicting the correct spatial cluster is crucial to the estimation accuracy. …”
Get full text

Mapping potential water repellency of Danish topsoil by Lucas Carvalho Gomes, Peter Lystbæk Weber, Cecilie Hermansen, Anne-Cathrine Storgaard Danielsen, Sebastian Gutierrez, Deividas Mikstas, Charles Pesch, Mogens Humlekrog Greve, Per Moldrup, David A. Robinson, Lis Wollesen de Jonge

“…This study presents a comprehensive survey of SWR in Denmark and its predicted spatial distribution, using approximately 7,500 samples. …”
Get full text

CEDAR-GPP: spatiotemporally upscaled estimates of gross primary productivity incorporating CO₂ fertilization by Y. Kang, Y. Kang, Y. Kang, M. Bassiouni, M. Bassiouni, M. Gaber, M. Gaber, X. Lu, X. Lu, T. F. Keenan, T. F. Keenan

“…Our machine learning models effectively predict monthly GPP (<span class="inline-formula"><i>R</i>²</span> <span class="inline-formula">∼</span> 0.72), the mean seasonal cycles (<span class="inline-formula"><i>R</i>²</span> <span class="inline-formula">∼</span> 0.77), and spatial variabilities (<span class="inline-formula"><i>R</i>²</span> <span class="inline-formula">∼</span> 0.63) based on cross-validation at flux sites. …”
Get full text

DWE: Research on Water Quality Inversion and Scalability in Small Watersheds Using UAV Remote Sensing Data by Hao Li, Zhijun Xie, Xing Jin, Changchun Peng, Cheng Ren, Yunfei Mao, Kefan Zhou, Yingying Li

“…The results show that the DWE model based on optimal features has high accuracy and robustness in WQP prediction, with coefficients of determination (<inline-formula> <tex-math notation="LaTeX">$R^{2}$ </tex-math></inline-formula>) of 0.8472, 0.8547, 0.8973, and 0.8393 for chlorophyll a (Chl-a), chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP), respectively, which improved the prediction accuracy by nearly 30% compared with the traditional inversion model. …”
Get full text

Deciphering cholangiocarcinoma heterogeneity and specific progenitor cell niche of extrahepatic cholangiocarcinoma at single-cell resolution by Chunliang Liu, Xiang Wang, Erdong Liu, Yali Zong, Wenlong Yu, Youhai Jiang, Jianan Chen, Mingye Gu, Zhengyuan Meng, Jingfeng Li, Yang Liu, Yongjie Zhang, Jing Tang, Hongyang Wang, Jing Fu

Get full text

Estimating structure of understory bamboo for giant panda habitat by developing an advanced vertical vegetation classification approach using UAS-LiDAR data by Xin Shen, Lin Cao, Yisheng Ma, Nicholas C. Coops, Evan R. Muise, Guibin Wang, Fuliang Cao

“…Three-dimensional understory bamboo point clouds were successfully isolated from the forest point cloud, then bamboo structure predictive models were developed through understory bamboo point cloud metrics and applied over the entire study area to generate spatially continuous maps of understory bamboo structure. …”
Get full text

Changing grizzly bear space use and functional connectivity in response to human disturbance in the southern Canadian Rocky Mountains by Eric C. Palm, Clayton D. Apps, Tal Avgar, Melanie Dickie, Bruce N. McLellan, Joseph M. Northrup, Michael A. Sawaya, Julie W. Turner, Jesse Whittington, Erin L. Landguth, Katherine A. Zeller, Clayton T. Lamb

“…Our study builds upon existing work simulating animal space use from fitted iSSFs by incorporating individual‐level variation into population‐level simulations and by fitting functional responses that help capture broad‐scale variation in behavior and improve model transferability to new areas. Our results provide insights into grizzly bear movement and connectivity in an area of high conservation importance, and our predictive maps can be used to directly inform transboundary management actions and conservation planning.…”
Get full text

Rapid and Accurate Acquisition of Equivalent Economic Scale in Flood Protection Area Based on Multi-source Big Data by ZHENG Yong, XU Zhangfan, ZHOU Xiaoxin, CAI Jihong, JI Hongxiang, QIN Yan

“…The results show that the accuracy of the population prediction model is 82%, and the accuracy of the GDP prediction model is 76%. …”
Get full text

Mapping emergent coral reefs: a comparison of pixel‐ and object‐based methods by Amy Stone, Sharyn Hickey, Ben Radford, Mary Wakeford

Get full text

Three-dimensional characteristics of T cells and vasculature in the development of mouse esophageal cancer by Shanshan Bi, Yueguang Wu, Ning Ding, Yan Zhou, Huijuan Liu, Yongjia Weng, Qiqin Song, Li Zhang, Matthew Yibo Cheng, Heyang Cui, Weimin Zhang, Yongping Cui

Get full text

Spatio-temporal mapping reveals changes in soil organic carbon stocks across the contiguous United States since 1955 by Chenconghai Yang, Feixue Shen, Xiang Li, Wenkai Cui, Lei Zhang, Lin Yang, Chenghu Zhou

“…Then, multi-depth ST-DSM models are employed to generate spatial prediction of SOC in different layers (0–15 cm, 15–30 cm, 30–60 cm and 60–100 cm) from 1955 to 2014 at 250 m resolution and 5-year intervals (1955–1959, 1960–1964,…., 2010–2014). …”
Get full text

Methodological Integration of Machine Learning and Geospatial Analysis for PM10 Pollution Mapping by Kalid Hassen Yasin, Muaz Ismael Yasin, Anteneh Derribew Iguala, Tadele Bedo Gelete, Erana Kebede

“…The study contributes valuable insights for implementing scalable pollution prediction systems in resource-constrained urban environments while acknowledging interpretability challenges inherent to complex ML models. • Preprocessing of spatial data from various sources, incorporating the handling of missing/abnormal data, analysis, and normalization • Implementation of the three ML algorithms with rigorous hyperparameter tuning, model validation, and performance assessment • Mapping PM10 Hotspots on the Gradient Direction and Distance from the City Center…”
Get full text

Spatio-Temporal Joint Planning for Integrated Energy Systems with Internet Data Center Considering Privacy Preservation by WU Chengbang, CHENG Zhijiang, LU Haifeng, YANG Handi

Get full text

Meta-Learning Approach for Adaptive Anomaly Detection from Multi-Scenario Video Surveillance by Deepak Kumar Singh, Dibakar Raj Pant, Ganesh Gautam, Bhanu Shrestha

“…Leveraging the swin transformer as a spatial feature extractor, the model captures rich hierarchical representations from surveillance videos. …”
Get full text