Spatio-temporal heterogeneity of metro ridership under major epidemic conditions. by Baixi Shi, Lijie Yu, Qi Yang, Na Zhang, Nanxi Yang

“…This paper investigates these changes by employing a Geographically and Temporally Weighted Regression (GTWR) model to analyze the spatial and temporal impacts throughout the pandemic. …”
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Likelihood testing of seismicity‐based rate forecasts of induced earthquakes in Oklahoma and Kansas by M. P. Moschetti, S. M. Hoover, C. S. Mueller

“…Abstract Likelihood testing of induced earthquakes in Oklahoma and Kansas has identified the parameters that optimize the forecasting ability of smoothed seismicity models and quantified the recent temporal stability of the spatial seismicity patterns. …”
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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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Cities as Organisms: Allometric Scaling of Urban Road Networks by Horacio Samaniego, Melanie E. Moses

“…Per capita road capacity is independent of the spatial extent of cities. Driving distances do depend on the size of the city, although not as much as is predicted by a completely centralized model. …”
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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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Emergent Holographic Forces from Tensor Networks and Criticality by Rahul Sahay, Mikhail D. Lukin, Jordan Cotler

“…The AdS/CFT correspondence stipulates a duality between conformal field theories and certain theories of quantum gravity in one higher spatial dimension. However, probing this conjecture on contemporary classical or quantum computers is challenging. …”
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Hemodynamic predictors of rupture in abdominal aortic aneurysms: a case series using computational fluid dynamics by Kiyoon Moon, Yosep Lee, Junseong Lee, Youngki Son, Youngje Woo, Eunju Jang, Sangseob Yun, Suncheol Park, Jangyong Kim

“…ECAP demonstrated the highest spatial specificity for rupture. Overlay models revealed that ILT-prone zones corresponded with high-RRT regions and often co-localized with rupture sites.ConclusionsCFD-derived hemodynamic parameters, particularly ECAP was spatially correlated with AAA rupture sites. …”
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Water Quality in the Ma’an Archipelago Marine Special Protected Area: Remote Sensing Inversion Based on Machine Learning by Zhixin Wang, Zhenqi Zhang, Hailong Li, Hong Jiang, Lifei Zhuo, Huiwen Cai, Chao Chen, Sheng Zhao

“…The results indicated that the random forest model could reliably predict Chl-a, phosphate, and DIN concentrations in the MMSPA. …”
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Determining carbon storage of a complex peat stratigraphy using non– and minimal-invasive geophysical prospection techniques (Verlorener Bach and Loosbach valleys, southern Germany... by Anne Köhler, Ulrike Werban, Marco Pohle, Johannes Rabiger-Völlmer, Birgit Schneider, Anneli Wanger-O’Neill, Stefanie Berg, Peter Dietrich, Christoph Zielhofer

“…However, potential reductions in groundwater levels could lead to peat decomposition and carbon release.This study demonstrates the effectiveness of integrating EMI, DP-EC and ERT data for stratigraphic analysis, providing a comprehensive understanding of spatial sediment stratigraphies and carbon storage in the study area. …”
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Distributed surface mass balance of an avalanche-fed glacier by M. Kneib, M. Kneib, A. Dehecq, A. Gilbert, A. Basset, E. S. Miles, E. S. Miles, G. Jouvet, B. Jourdain, E. Ducasse, L. Beraud, A. Rabatel, J. Mouginot, G. Carcanade, O. Laarman, F. Brun, D. Six

“…</mo><mspace linebreak="nobreak" width="0.125em"/><msup><mi mathvariant="normal">yr</mi><mrow><mo>-</mo><mn mathvariant="normal">1</mn></mrow></msup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="52pt" height="15pt" class="svg-formula" dspmath="mathimg" md5hash="e0918f6438cbe876de2794196580ddad"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="tc-18-5965-2024-ie00001.svg" width="52pt" height="15pt" src="tc-18-5965-2024-ie00001.png"/></svg:svg></span></span> for the 11-year average). The detected spatial variability in surface mass balance is consistent between the modelling approaches and much higher than what is predicted from an enhanced-temperature-index model calibrated with measurements from a dense network of stakes. …”
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Surface temperature change amplifies social inequality in heat exposure? Evidence from Shanghai, China by Peng Zeng, Cheng Chen, Fengyun Sun, Yaoyi Liu, Xinyu Zhang, Yue Che

“…We employed a boosted regression tree model to quantify LST changes, offering better predictive performance than traditional linear regression, and used geographically weighted regression with data from China's sixth population census to assess the city-wide and local scale inequality differences in exposure to LST changes and summer LST. …”
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Microstructure reconstruction via artificial neural networks: a combination of causal and non-causal approach by Kryštof Latka, Martin Doškář, Jan Zeman

“…We also consider the impacts of different configurations of the ANN model (e.g., the number of densely connected layers, the number of neurons in each layer, the size of both the causal and non-causal neighbourhood) on the models’ predictive abilities quantified by the discrepancy between the spatial statistics of the reference and the reconstructed sample.…”
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A novel approach for joint indoor localization and activity recognition using a hybrid CNN-GRU and MRF framework. by Sarmad Sohaib, Syed Mohsin Bokhari, Muhammad Shafi, Anas Alhashmi

“…The CNN-GRU successfully captures spatial and temporal dependencies, while the MRF models the mutual relations of activities and locations by estimating their joint probability distribution. …”
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Flood Susceptibility Map Data of Jeju Island Using Probabilistic Methods by Saro Lee

“…These data were used to train and validate the FR model. The model’s predictive performance was evaluated using the receiver operating characteristic-area under curve (ROC-AUC), achieving an accuracy 82.33%, indicating high accuracy. …”
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Near real-time land surface temperature reconstruction from FY-4A satellite using spatio-temporal attention network by Ruijie Li, Hequn Yang, Xu Zhang, Xin Xu, Liuqing Shao, Kaixu Bai

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Snow monitoring at strategic locations improves water supply forecasting more than basin-wide mapping by Mark S. Raleigh, Eric E. Small, Edward H. Bair, Cameron Wobus, Karl Rittger

“…Here we show that adding strategic measurements at snow hotspots – localized areas with untapped information for predicting streamflow – consistently outperforms spatially complete surveys that provide basin-average snowpack, both in basins with and without existing stations. …”
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Vertical Velocity Diagnosed From Surface Data With Machine Learning by Jing He, Amala Mahadevan

“…We evaluate the machine learning models' sensitivities to different inputs, spatial resolution of surface fields, the addition of noise, and information about the subsurface density. …”
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SOME DYNAMIC PROCESSES AT LONGITUDINALLY-TRANSVERSE SHIFT OF THE CARGO by Leontii MURADIAN, Anzhelika SHVETS, Angela SHVETS

“…During the analytical simulation, a multibody model of the spatial oscillations of the wagon was used. …”
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The Environmental Niche of the Light Purse Seine Fleet in the Northwest Pacific Ocean Based on Automatic Identification System Data by Shenglong Yang, Lijun Wan, Linlin Yu, Jiashu Shi, Weifeng Zhou, Shengmao Zhang, Fei Wang, Zuli Wu, Yang Dai, Keji Jiang, Wei Fan

“…By applying boosted regression trees (BRTs) and generalized additive models (GAMs), this study establishes nonlinear relationships between fishing intensity and predictor variables and explores the ecological and environmental drivers behind the spatial distribution of light purse seine vessels from the Chinese mainland in the Northwest Pacific. …”
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Contribution of Range‐Wide and Short‐Scale Chemical Soil Variation to Local Adaptation in a Tropical Montane Forest Tree by Sebastián Arenas, Jorge Cruz‐Nicolás, Gustavo Giles‐Pérez, Josué Barrera‐Redondo, Verónica Reyes‐Galindo, Alicia Mastretta‐Yanes, Erika Aguirre‐Planter, Luis E. Eguiarte, Juan Pablo Jaramillo‐Correa

“…Our findings reveal that local adaptation in trees is the result of an intricate interaction between soil chemical properties and the local population's genetic makeup, and that the selective factors driving such adaptation greatly vary and are not necessarily predictable across spatial scales. These results highlight the need to consider edaphic variation in forest genetic studies (including common garden experiments) and in conservation, management and assisted migration programs.…”
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