Physics‐Informed Convolutional Decoder (PICD): A Novel Approach for Direct Inversion of Heterogeneous Subsurface Flow by Nanzhe Wang, Xiang‐Zhao Kong, Dongxiao Zhang

“…Abstract We propose a physics‐informed convolutional decoder (PICD) framework for inverse modeling of heterogenous groundwater flow. PICD stands out as a direct inversion method, eliminating the need for repeated forward model simulations. …”
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Structural fluctuations of the Arctic Oscillation tied to the Atlantic Multidecadal Oscillation by Hainan Gong, Kangjie Ma, Bo Liu, Judah Cohen, Lin Wang

“…Understanding the drivers and mechanisms behind the AO’s spatial nonstationarity is critical for improving climate predictions related to the AO. …”
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Cortical hierarchies perform Bayesian causal inference in multisensory perception. by Tim Rohe, Uta Noppeney

“…Combining psychophysics, Bayesian modeling, functional magnetic resonance imaging (fMRI), and multivariate decoding in an audiovisual spatial localization task, we demonstrate that Bayesian Causal Inference is performed by a hierarchy of multisensory processes in the human brain. …”
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Overcoming photon and spatiotemporal sparsity in fluorescence lifetime imaging with SparseFLIM by Binglin Shen, Yuan Lu, Fangyin Guo, Fangrui Lin, Rui Hu, Feng Rao, Junle Qu, Liwei Liu

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An Upscaling-Based Strategy to Improve the Ephemeral Gully Mapping Accuracy by Solmaz Fathololoumi, Daniel D. Saurette, Harnoordeep Singh Mann, Naoya Kadota, Hiteshkumar B. Vasava, Mojtaba Naeimi, Prasad Daggupati, Asim Biswas

“…The overall classification error of the upscaling strategy at spatial resolutions of 0.6, 2, 4, 6, 8, and 10 m (Upscaled), as well as that of the direct Sentinel-2 model, were 7.9%, 8.2%, 9.1%, 10.3%, 11.2%, 12.5%, and 14.5%, respectively. …”
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The use and integration of airborne laser scanning and satellite time series data in precision forest management for plantations of fast-growing tree species by Gonzalo Gavilan-Acuna, Nicholas C. Coops, Piotr Tompalski, Dominik Roeser, Andrés Varhola

“…ALS individual tree detection models offer insights into competition, stand structure, and spatial variability, informing thinning and fertilization decisions by identifying trees under stress or with high growth potential. …”
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Bio-mediated CN cycling in serpentinites and the origin of life by S. Tenuta, K. A. Evans, S. M. Reddy, B. M. Tutolo, W. D. A. Rickard, D. W. Saxey

“…In this model, reduction of carbon and nitrogen is catalysed by copper, and previously undocumented nanolayers of silver within metallic copper may enhance catalytic properties in natural systems. …”
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Understanding interactive effects between habitat configuration and pesticide use for pollination: towards better informed landscape management by Swantje Gebhardt, Jerry van Dijk, Marjolein E. Lof, Martin J. Wassen, Martha Bakker

“…As current guidelines largely lack spatially-explicit measures, we suggest to direct future research and policies towards the underlying spatial processes and their facilitation on parcel, farm, and landscape scale.…”
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Sociological variety and the transmission efficiency of Mycobacterium tuberculosis: a secondary analysis of qualitative and quantitative data from 15 communities in Zambia by Richard G White, Virginia Bond, Peter J Dodd, Ben Marais, Helen Ayles, Emma J Murray, Kwame Shanaube, Albertus Schaap

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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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Evolution of an Urban Network in the Yellow River Basin Based on Producer Services by Weimin Gong, Zhibin Zhang, Long Chen, Xiaomin Ma, Xuewei Zhao, Yan Guo

“…The network relationship within the basin has a clear spatial and hierarchical orientation, presenting a “core-periphery” network structure and a “polarisation to trickle down” development model. …”
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Toward Accurate Physics‐Based Specifications of Neutral Density Using GNSS‐Enabled Small Satellites by Eric K. Sutton, Jeffrey P. Thayer, Marcin D. Pilinski, Shaylah M. Mutschler, Thomas E. Berger, Vu Nguyen, Dallas Masters

“…Simultaneously, a new era of CubeSat constellations is set to provide data with which to calibrate our upper‐atmosphere models at higher spatial resolution and temporal cadence. …”
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Bye-bye, Local-in-matter-density Bias: The Statistics of the Halo Field Are Poorly Determined by the Local Mass Density by Deaglan J. Bartlett, Matthew Ho, Benjamin D. Wandelt

“…Bias models relating the dark matter field to the spatial distribution of halos are widely used in current cosmological analyses. …”
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Sequence to sequence architecture based on hybrid LSTM global and local encoders approach for meteorological factors forecasting by Guoqiang Sun, Yang Zhao, Xiaoyan Qi

“…Traditional models, such as Numerical Weather Prediction (NWP), often face limitations in capturing highly non-linear and chaotic weather patterns, particularly at finer temporal and spatial scales, and they require substantial computational resources. …”
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Research on intelligent segmentation method of coal body CT image fracture based on CBAM-UNet by Shuang Song, Yilun Xue, Suinan He, Xiang Ji, Xinshuang Cao, Guoying Liu, Juntao Chen, Hongjiao Chen

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Density Dependence in Large Herbivores Inhabiting an Insular Nature Reserve by Cornelius J. Louw, Francesca Parrini, Jason P. Marshal

“…ABSTRACT While studies often focus on density‐dependent responses of ungulate populations to resource limitations at large spatial scales, the dynamics at smaller scales remain relatively unexplored. …”
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Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

“…It leverages GNNs to model spatial dependencies and interactions within IoT networks and utilizes XGBoost to distill complex features for predictive analysis. …”
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Evaluation of Physics‐Based Data Assimilation System Driven by Neutral Density Data From a Single Satellite by Dexin Ren, Jiuhou Lei

“…The data assimilation approach that is based on the self‐consistent upper‐atmosphere model may provide better predictive capability of the coupled thermosphere system. …”
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Time-Series Forecasting Method Based on Hierarchical Spatio-Temporal Attention Mechanism by Zhiguo Xiao, Junli Liu, Xinyao Cao, Ke Wang, Dongni Li, Qian Liu

“…However, the inherent spatio-temporal coupling characteristics and cross-period long-range dependency of sensor data cause traditional time-series prediction methods to face performance bottlenecks in feature decoupling and multi-scale modeling. …”
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Monitoring Land Surface Temperature on Urban Expansion using Normalised Difference Vegetation Index and Google Earth Engine by Nur Suhaili Mansor, Hapini Awang, Chong Kar Min, Anna Bluszcz, Ade Candra, Shakiroh Khamis

“…Despite growing recognition of these impacts, many existing studies rely on static or predictive models that lack spatial precision and real-time monitoring. …”
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