Introducing the SMAP L4 Products and Investigating the Spatio-Temporal Variability of Soil Moisture in Iran by Ebrahim Asadi Oskouei, Leila Godarzy, Jalil Helali

“…Conclusion: Knowledge of the amount of soil moisture is important in hydrological modeling studies, improving numerical weather prediction (NWP) models, intelligent irrigation in agriculture and climate change. …”
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IRGL-RRI: interpretable graph representation learning for plant RNA–RNA interaction discovery by Qingquan Liao, Xuchong Liu, Wei Zhao, Yu Tong, Fangzheng Xu, Xinxin Liu, Yifan Chen

“…To address this, this study proposes an interpretable graph representation model for accurate plant RRI prediction. The model enriches sample information by extracting features of different bases from plant RNA data and reconstructs these features using an algorithmic hierarchy approach to capture more complex patterns. …”
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Enhanced characterization of hydraulic conductivity via standard penetration test for sandy soils and weathered rocks by Wanhyuk Seo, Eomzi Yang, Tae Sup Yun

“…This approach significantly enhances spatial and depth-wise characterization of subsurface K, offering a practical solution for groundwater flow modeling and geotechnical design with improved resolution.…”
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Identifying and mapping open-boll cotton fields in the southeastern United States with time series PhenoCam, Sentinel-2 and Sentinel-1 images by Fang Liu, Xiangming Xiao, Yuanwei Qin, Luo Liu

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Robust Driving Control Design for Precise Positional Motions of Permanent Magnet Synchronous Motor Driven Rotary Machines with Position-Dependent Periodic Disturbances by Syh-Shiuh Yeh, Zhi-Hong Liu

“…A position-dependent periodic disturbance model was developed using multiple position–sinusoidal signals and identified using a spatial fast Fourier transform. …”
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RMIS-Net: a fast medical image segmentation network based on multilayer perceptron by Binbin Zhang, Guoliang Xu, Yiying Xing, Nanjie Li, Deguang Li

“…To address the persistent challenges of computational complexity and efficiency limitations in existing methods, we propose RMIS-Net—an innovative lightweight segmentation network with three core components: a convolutional layer for preliminary feature extraction, a shift-based fully connected layer for parameter-efficient spatial modeling, and a tokenized multilayer perceptron for global context capture. …”
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Susceptibility and Remanent Magnetization Estimates from Orientation Tools in Borehole Imaging Logs by Julio Cesar S. O. Lyrio, Ana Patrícia C. C. Laier, Jorge Campos Junior, Ana Natalia G. Rodrigues, Luciano dos Santos Martins

“…This promising result shows the importance of our methodology in providing reliable information that can minimize uncertainties in forward modeling of magnetic data, which contributes to reduction of hydrocarbon exploration risks. …”
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Signatures of High‐Latitude Waves in Observations of Geomagnetic Acceleration by Rodrigo Chi‐Durán, Margaret S. Avery, Bruce A. Buffett

“…Magnetic Rossby waves produce a high‐latitude response with suitable phase velocities. However, the spatial complexity of the prediction is not compatible with the observations. …”
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Ecological Zoning Based on Suitability Evaluation of Ecological Product Development from the Value-Risk-Cost-Demand Perspective by Ming Gao, Pei Du, Xinxin Zhou, Zhenxia Liu, Wen Luo, Zhaoyuan Yu, Linwang Yuan

“…The findings suggest that the integrated assessment model proposed in this study has produced more reasonable outcomes in terms of spatial layout, land use area, reduction of fragmentation and ecological risk. …”
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Estimation of soil thickness in karst landforms using a quantile regression forests approach by Fayong Fang, Ruyi Zi, Zhen Han, Qian Fang, Rui Hou, Longshan Zhao

“…Accurately representing the spatial distribution of soil thickness is important for various models of earth surface processes. …”
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Scale-dependent effects of tree species diversity on soil erosion resistance by Huaqing Liu, Xiaodong Gao, Xining Zhao

“…However, the understanding of the effects of tree species diversity on soil erodibility across spatial scales remains incomplete. This study employed the Universal Soil Loss Equation model to quantify soil erodibility and aligned it with tree species diversity data obtained from the Global Forest Biodiversity Initiative database. …”
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Unraveling the threshold and interaction effects of environmental variables on soil organic carbon mapping in plateau watershed by Chi Zhang, Yiyun Chen, Yujiao Wei, Peiheng Yu, Yongsheng Hong, Yazhen Hu, Jiaxue Wang, Zhou Shi

“…Understanding the spatial distribution and mechanisms driving soil organic carbon (SOC) is crucial for assessing soil carbon stocks and implementing effective carbon sequestration strategies in agricultural landscapes. …”
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Cluster Path Planning Method in Mountainous Areas Based on Optimal Timeliness by Zhufeng Shao, Dunwei Gong, Chuansheng Liu

“…A dynamic spatial grid map is used to represent the roller’s surface information, and collision prediction is based on obstacle occupancy and temporal trends. …”
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MDGCN: Multiple Graph Convolutional Network Based on the Differential Calculation for Passenger Flow Forecasting in Urban Rail Transit by Chenxi Wang, Huizhen Zhang, Shuilin Yao, Wenlong Yu, Ming Ye

“…Passenger flow forecasting plays an important role in urban rail transit (URT) management. However, complex spatial and temporal correlations make this task extremely challenging. …”
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Assessing climate change impacts on flood risk in the Yeongsan River Basin, South Korea by Agbortoko Bate Ashu, Junsuk Kang

“…Abstract Flood risk prediction is critical for adaptation to the forecast frequency of extreme weather events. …”
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Quantifying Uncertainties in the Quiet‐Time Ionosphere‐Thermosphere Using WAM‐IPE by Weijia Zhan, Alireza Doostan, Eric Sutton, Tzu‐Wei Fang

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Research on Monitoring Nitrogen Content of Soybean Based on Hyperspectral Imagery by Yakun Zhang, Mengxin Guan, Libo Wang, Xiahua Cui, Yafei Wang, Peng Li, Shaukat Ali, Fu Zhang

“…To verify the applicability of prediction models for soybean canopy nitrogen content, a spatial distribution map of soybean canopy nitrogen content at the regional scale was drawn based on unmanned aerial vehicle (UAV) hyperspectral imaging data at the flowering and seed filling stages of soybean in the experimental area, and the spatial distribution of soybean nitrogen content was statistically analyzed. …”
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Exploring the capabilities of hyperspectral remote sensing for soil texture evaluation by Mohammad Hosseinpour-Zarnaq, Mahmoud Omid, Fereydoon Sarmadian, Hassan Ghasemi-Mobtaker, Reza Alimardani, Pouya Bohlol

“…These findings highlight the potential of environmental covariates and the modeling approach for enhancing the spatial coverage of real soil status to monitor diversity and refine soil mapping for more effective agricultural management practices.…”
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Multi-Site Air Quality Index Forecasting Based on Spatiotemporal Distribution and PatchTST-Enhanced: Evidence From Hebei Province in China by Wenyi Cao, Rufei Zhang, Wenxin Cao

“…However, few existing models can achieve multi-scale feature fusion and long sequence time series modeling in the prediction process. …”
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The formation of the Bicoid morphogen gradient requires protein movement from anteriorly localized mRNA. by Shawn C Little, Gašper Tkačik, Thomas B Kneeland, Eric F Wieschaus, Thomas Gregor

“…In numerical simulations of gradient formation, we find that incorporating the actual bicoid mRNA distribution yields a closer prediction of the observed protein dynamics compared to modeling protein production from a point source at the anterior pole. …”
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