MGNN: Moment Graph Neural Network for Universal Molecular Potentials by Jian Chang, Shuze Zhu

“…Abstract The quest for efficient and robust deep learning models for molecular systems representation is increasingly critical in scientific exploration. …”
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Meteorological Anomalies During Earthquake Preparation: A Case Study for the 1995 Kobe Earthquake (M = 7.3) Based on Statistical and Machine Learning-Based Analyses by Masashi Hayakawa, Shinji Hirooka, Koichiro Michimoto, Stelios M. Potirakis, Yasuhide Hobara

“…We have utilized a combinational use of NARX (Nonlinear Autoregressive model with eXogenous inputs) and Long Short-Term Memory (LSTM) models, which was successful in objectively re-confirming the anomalies in both parameters on the same day prior to the EQ. …”
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Covid-19 pandemic data analysis using tensor methods by Dipak Dulal, Ramin Goudarzi Karim, Carmeliza Navasca

“…Second, we implement a tensor completion algorithm using canonical polyadic tensor decomposition to predict spatiotemporal data from multiple spatial sources and to identifyCovid-19 hotspots. …”
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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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Clustering of Floating Tracer Due to Mesoscale Vortex and Submesoscale Fields by Dmitry V. Stepanov, Eugene A. Ryzhov, Alexei A. Zagumennov, Pavel Berloff, Konstantin V. Koshel

“…We found that the mesoscale vortices do not prevent clustering but significantly modify its rate and spatial pattern. We also demonstrated that even weak surface‐velocity divergence has to be taken into account to avoid significant errors in model predictions of the floating tracer patterns. …”
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All is not loss: plant biodiversity in the anthropocene. by Erle C Ellis, Erica C Antill, Holger Kreft

“…Here we explore contemporary anthropogenic global patterns in vascular plant species richness at regional landscape scales by combining spatially explicit models and estimates for native species loss together with gains in exotics caused by species invasions and the introduction of agricultural domesticates and ornamental exotic plants. …”
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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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Pedestrian detection method based on improved YOLOv5 by Shangtao You, Zhenchao Gu, Kai Zhu

“…First, the HorNet to improve the higher-order spatial interaction capability of the model, expand the effective sensory field, and enhance the feature extraction of pedestrians. …”
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TU-DAT: A Computer Vision Dataset on Road Traffic Anomalies by Pavana Pradeep Kumar, Krishna Kant

“…These features enable robust model training for anomaly detection, spatial reasoning, and vision–language model (VLM) enhancement. …”
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Monitoring Anthropogenically Disturbed Parcels with Soil Erosion Dynamics Change Based on an Improved SegFormer by Zhenqiang Li, Jialin Li, Jie Li, Zhangxuan Li, Kuncheng Jiang, Yuyang Ma, Chuli Hu

“…The PR–MLP module improves feature extraction by capturing spatial contextual information, while the CSBC module enhances boundary prediction through high– and low–level semantic guidance. …”
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Integrating Temporal Vegetation and Inundation Dynamics for Elevation Mapping Across the Entire Turbid Estuarine Intertidal Zones Using ICESat-2 and Sentinel-2 Data by Siqi Yao, Jianrong Zhu, Wanying Zhang, Bo Tian, Weiwei Sun, Weiguo Zhang, Weiming Xie, Pengjie Tao, Chunpeng Chen, Kai Tan

“…These two features effectively utilize the variations observed in different regions and land covers within the Sentinel-2 image series caused by the unique tide periodic fluctuation phenomenon and elevation trend law in intertidal zones, thereby rendering the method applicable to elevation prediction across the entire spatial range of intertidal zones, rather than being limited to nonvegetated regions. …”
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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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Estimation of long-term gridded cloud radiative kernel and radiative effects based on cloud fraction by X. Liu, T. He, Q. Wang, X. Xiao, Y. Ma, Y. Wang, S. Luo, L. Du, Z. Wu, Z. Wu

“…By leveraging the correlation between the top-of-atmosphere (TOA) shortwave radiative parameters and surface radiation, combined with high-precision fused CF datasets from multiple satellite sources, we construct a CF-dependent model to refine DSSR estimates. Based on this model, we construct GCF-CRKs using the CF as the sole perturbation parameter to isolate the CF CRE. …”
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Solar energy resource availability under extreme and historical wildfire smoke conditions by Kimberley A. Corwin, Jesse Burkhardt, Chelsea A. Corr, Paul W. Stackhouse, Amit Munshi, Emily V. Fischer

“…., amount of direct normal (DNI) and global horizontal (GHI) irradiance] at different spatial and temporal scales using radiative transfer model output and satellite-based smoke, aerosol, and cloud observations. …”
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Applying Different Independent Component Analysis Algorithms and Support Vector Regression for IT Chain Store Sales Forecasting by Wensheng Dai, Jui-Yu Wu, Chi-Jie Lu

“…But, up to now, only the basic ICA method (i.e., temporal ICA model) was applied to sale forecasting problem. In this paper, we utilize three different ICA methods including spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA) to extract features from the sales data and compare their performance in sales forecasting of IT chain store. …”
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Relating natural image statistics to patterns of response covariability in macaque primary visual cortex by Amirhossein Farzmahdi, Adam Kohn, Ruben Coen-Cagli

“…As a result, the model predicts that increasing the size of an image reduces correlations for pairs with overlapping receptive fields and increases correlations for pairs with offset receptive fields. …”
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Hydrodynamic and hydro acoustic analysis of marine propeller in off design flow conditions. by Ammar Nazeer, Niaz Bahadur Khan, Emad Uddin, Mohammed Jameel, Omar Al-Abbasi, Qian Wu, Adnan Munir, Hanzla Shahid

“…Computation of hydrodynamic coefficients across spatial directions provides insight into loading impacts on performance. …”
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Homes and Hands United: Bridging Housing and Labour Struggles at McMaster University by Elliot Goodell Ugalde

“…The analysis underscores that, despite Hamilton’s persistent identity as a major steel producer, the city's gradual pivot toward real estate investment and intellectual labour exemplifies David Harvey's concept of a ""spatial fix,"" redirecting surplus capital and labour into the university sector, thus complicating the intersection of housing affordability and labour precarity."…”
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Assessing agri-environmental strategies to reduce pesticide concentrations in surface drinking water sources, Coastal Charente River basin, SW France by Odile Phelpin, Françoise Vernier, Kévin Petit, David Carayon

“…Realistic agri-environmental scenarios with combined agronomic orientations were tested using a well-calibrated ecohydrological model. Their performance was quantified based on pesticide concentration reductions in freshwater bodies, focusing on temporal and spatial variability, using non-parametric tests. …”
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Rear-End Crash Risk Analysis considering Drivers’ Visual Perception and Traffic Flow Uncertainty: A Hierarchical Hybrid Bayesian Network Approach by Naikan Ding, Linsheng Lu, Nisha Jiao

“…Results show that (1) the BN model with flow-level data outperformed the BN model without flow-level data and could predict 85.3% of the cases of crash risk decrease, with a false alarm rate of 21.4%; (2) the hierarchical hybrid BN models showed plausible spatial transferability in predicting crash risk variation; and (3) the incorporation of specific flow-level variables and data greatly benefited the successful identification of rear-end crash risk variations. …”
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