Global database of actual nitrogen loss rates in coastal and marine sediments by Y. Chang, E. Tan, D. Gao, C. Liu, Z. Zhang, Z. Huang, J. Liu, Y. Han, Z. Xu, B. Chen, S.-J. Kao

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Research on status monitoring and positioning compensation system for digital twin of parallel robots by Yuting Zhang, Pei Gao, Zongyan Wang, Quanling He

“…Initially, the digital twin framework is constructed. Establishing a spatial kinematics model that serves as the foundation for the twin model, the kinematics model facilitates basic synchronized interaction. …”
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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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Tropical precipitation extremes: Response to SST‐induced warming in aquaplanet simulations by Ritthik Bhattacharya, Simona Bordoni, João Teixeira

“…Abstract Scaling of tropical precipitation extremes in response to warming is studied in aquaplanet experiments using the global Weather Research and Forecasting (WRF) model. We show how the scaling of precipitation extremes is highly sensitive to spatial and temporal averaging: while instantaneous grid point extreme precipitation scales more strongly than the percentage increase (∼7% K−1) predicted by the Clausius‐Clapeyron (CC) relationship, extremes for zonally and temporally averaged precipitation follow a slight sub‐CC scaling, in agreement with results from Climate Model Intercomparison Project (CMIP) models. …”
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A GAN Guided NCCT to CECT Synthesis With an Advanced CNN-Transformer Aggregated Generator by Haozhe Wang, Dawei Gong, Rongzhen Zhou, Junbo Liang, Ruili Zhang, Wenbin Ji, Sailing He

“…MSPHAB consists of spatial self-attention and channel self-attention in parallel. …”
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Adaptive mechanisms of social and asocial learning in immersive collective foraging by Charley M. Wu, Dominik Deffner, Benjamin Kahl, Björn Meder, Mark K. Ho, Ralf H.J.M. Kurvers

“…Here, we use a collective foraging task in a virtual Minecraft environment to integrate these two fields, by leveraging automated transcriptions of visual field data combined with high-resolution spatial trajectories. Our behavioral analyses capture both the structure and temporal dynamics of social interactions, which are then directly tested using computational models sequentially predicting each foraging decision. …”
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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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On the accuracy of schedule-based GTFS for measuring accessibility by Nate Wessel, Steven Farber

“…Origins with lower scheduled access tend to produce less reliable estimates with more variability from hour to hour in real accessibility, while higher access zones seem to converge on an estimate 5-15 percent lower than the schedule predicts. Such over- and under-predictions exhibit strong spatial patterns which should be of concern to those using accessibility metrics in statistical models. …”
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RGB to hyperspectral: Spectral reconstruction for enhanced surgical imaging by Tobias Czempiel, Alfie Roddan, Maria Leiloglou, Zepeng Hu, Kevin O'Neill, Giulio Anichini, Danail Stoyanov, Daniel Elson

“…Transformer models exhibit superior performance in terms of RMSE, SAM, PSNR and SSIM by effectively integrating spatial information to predict accurate spectral profiles, encompassing both visible and extended spectral ranges. …”
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Environment-assisted quantum transport of excitons in perovskite nanocrystal superlattices by Daria D. Blach, Victoria A. Lumsargis-Roth, Chern Chuang, Daniel E. Clark, Shibin Deng, Olivia F. Williams, Christina W. Li, Jianshu Cao, Libai Huang

“…Our results connect theoretical predictions and experiments using a stochastic Anderson localization model, highlighting perovskite nanocrystals as promising building blocks for quantum materials.…”
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Awe is characterized as an ambivalent affect in the human behavior and cortex by Jinwoo Lee, Danny Dongyeop Han, Seung-Yeop Oh, Jiook Cha

“…Notably, this variability significantly predicted subjective awe ratings. Lastly, hidden Markov modeling revealed that the multiple band powers, particularly in the frontoparietal channels, were significantly associated with differentiation of valent states during awe-inducing VR watching. …”
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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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Research on the Diffusion of Vs55 Permeability in Rat Kidneys Based on Computer Tomography by Liu Ke, Xu Yi, Feng Haikao, Dang Hangyu, Yang Guoliang, Li Xin

“…When Vs55 concentration was 8.4 mol/L, the diffusion rates were 1.77××10-6cm2/s at 4 °C,2.94××10-6cm2/s at 22 °C, and 3.93××10-6cm2/s at 37 °C, respectively. The model was demonstrated to predict the spatial and temporal distribution of Vs55 in the kidney. …”
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Relationship between Vegetation and Soil Moisture Anomalies Based on Remote Sensing Data: A Semiarid Rangeland Case by Juan José Martín-Sotoca, Ernesto Sanz, Antonio Saa-Requejo, Rubén Moratiel, Andrés F. Almeida-Ñauñay, Ana M. Tarquis

“…We found other periods of relevant increment in the predictability, such as March and April for Los Vélez, and from July to September for Bajo Aragón.…”
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Recent weakening of carbon-water coupling in northern ecosystems by Fubo Zhao, Wenbo Shi, Jingfeng Xiao, Meng Zhao, Xing Li, Yiping Wu

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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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Lyman line opacities in tokamak divertor plasmas under high-recycling and detached conditions by Ray Chandra, Detlev Reiter, Niels Horsten, Mathias Groth

“…Radiation transport simulations of the deuterium Lyman line series using EIRENE predict a factor of 2 increase of Balmer-α emission in the JET-ILW low confinement divertor plasmas in high-recycling and detached conditions caused by the re-absorption of Lyman-β emission. …”
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Enhancing Situational Awareness of Helicopter Pilots in Unmanned Aerial Vehicle-Congested Environments Using an Airborne Visual Artificial Intelligence Approach by John Mugabe, Mariusz Wisniewski, Adolfo Perrusquía, Weisi Guo

“…To this end, we aim to combine the strengths of both spatial and temporal deep learning models and classic computer stereo vision to (1) estimate the depth of UAVs, (2) predict potential collisions with other UAVs in the sky, and (3) provide alerts for the pilot with regards to the drone that is likely to collide. …”
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Bayesian Inference and Condition Assessment Based on the Deflection of Aging Reinforced Concrete Hollow Slab Bridges by Xuliang Yan, Siyi Jia, Shuyang Jia, Jian Gao, Jiayu Peng

“…This paper presents a Bayesian inference framework for updating the structural rigidity ratio of aging hollow slab RC bridges using deflection measurements. The framework models the structural rigidity ratio as a stochastic field along the hollow RC slabs, using the Karhunen–Loeve (KL) transform to capture spatial correlation and variation. …”
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Efficient topology control for time-varying spacecraft networks with unreliable links by Wei Zhang, Hong Ma, Tao Wu, Xueshu Shi, Yiwen Jiao

“…Compared with most existing static graph models, this model includes both temporal and spatial topology information. …”
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