Transforming CCTV cameras into NO2 sensors at city scale for adaptive policymaking by Mohamed R. Ibrahim, Terry Lyons

“…Here, we demonstrate how city CCTV cameras can act as a pseudo-NO2 sensors. Using a predictive graph deep model, we utilised traffic flow from London’s cameras in addition to environmental and spatial factors, generating NO2 predictions from over 133 million frames. …”
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Aging disrupts the link between network centrality and functional properties of prefrontal neurons during memory-guided behavior by Yadollah Ranjbar-Slamloo, Huee Ru Chong, Tsukasa Kamigaki

“…In young adults, degree centrality also predicts cross-modal action-plan selectivity, but this predictive power diminishes with age. …”
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GEOCAPABILITIES COMPETENCE OF HIGH SCHOOL GEOGRAPHY TEACHERS IN CENTRAL JAVA, INDONESIA; WHAT IS IT AND HOW DO WE ASSESS IT? by Dannis Ni'matussyahara, Sugiyanto Sugiyanto, Sarwono Sarwono

“…Integrative thinking (23.6%), 4. Spatial thinking (20.5%), 5. Exploration (29.25%). …”
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The colours of the ocean: using multispectral satellite imagery to estimate sea surface temperature and salinity on global coastal areas, the Gulf of Mexico and the UK by Solomon White, Tiago Silva, Laurent O. Amoudry, Evangelos Spyrakos, Adrien Martin, Adrien Martin, Encarni Medina-Lopez

“…A global neural network model was developed, leveraging spectral bands and metadata to predict these parameters. …”
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Regularities of Plastic Deformation Zone Formation Around Unsupported Shafts in Tectonically Disturbed Massive Rock by Petr A. Demenkov, Ekaterina L. Romanova

“…Fractured rock zones of different quality and spatial configurations are investigated in order to predict the size of dangerous plastic deformation zones or zones of potential rock collapses. …”
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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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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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Arctic Sea ice decline whiplash modes in winter investigated from a Pan-Arctic viewpoint: atmospheric drivers and feedbacks by Xia Hu, Zhina Jiang, Yao Yao, Guokun Dai

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Surface Soil Organic Carbon Estimation Based on Habitat Patches in Southwest China by Jieyun Xiao, Wei Zhou, Ting Wang, Yao Peng, Zhan Shi, Saibo Li, Yang Li, Tianxiang Yue

“…Results showed higher SOC content (0–15 cm) in the southwestern mountains and the northwestern plateaus of Sichuan, while lower in the Sichuan Basin. The prediction uncertainty exhibited a similar pattern. …”
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A Digital Public Health Framework for Understanding Causal Cognitive Drivers of Adolescent Violence by Wei Zhang, Lixin Zhang

“…Through empirical validation on real-world adolescent datasets, we demonstrate that EEG-CauseNet outperforms traditional models in both predictive accuracy and interpretability. …”
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Deep learning for single-site solar irradiance forecasting using multi-station data by Daniel Guatibonza, Gabriel Narvaez, Luis Felipe Giraldo

“…The results highlight the need for more advanced methods to effectively exploit spatial data, which will guide the future development of solar irradiance prediction models.…”
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Biocrusts’ impact on hydrological processes and erosion dynamics: A review by Yuanfeng Yang, Yusong Deng, Chongfa Cai, Fang Wang, Yuan Fang, Xiaoqian Duan

“…Although scholars advocate integrating biocrusts into soil erosion prediction models (e.g., RUSLE or WEPP), limited mechanistic understanding of their hydrological and erosional processes constrains model accuracy. …”
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Simulation of a flash-flood event over the Adriatic Sea with a high-resolution atmosphere–ocean–wave coupled system by Antonio Ricchi, Davide Bonaldo, Guido Cioni, Sandro Carniel, Mario Marcello Miglietta

“…The event was triggered and maintained by the uplift over a convergence line between northeasterly flow from the Alps and southeasterly winds from the Adriatic Sea. Hindcast modelling experiments, using standalone atmospheric models, failed to capture the spatial distribution, maximum intensity and timing of the HPE. …”
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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

“…TU-DAT addresses the lack of public datasets for training and evaluating models focused on automatic detection and prediction of road anomalies. …”
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Nguyen van binh book street: redrawing urban public space in Ho Chi Minh City by Duy Thinh Do

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Assessing the Future ODYSEA Satellite Mission for the Estimation of Ocean Surface Currents, Wind Stress, Energy Fluxes, and the Mechanical Coupling Between the Ocean and the Atmosp... by Marco Larrañaga, Lionel Renault, Alexander Wineteer, Marcela Contreras, Brian K. Arbic, Mark A. Bourassa, Ernesto Rodriguez

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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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Methods integrating innate and adaptive immune responses in human in vitro immunization assays by Tetiana Y. Bowley, Kiersten D. Lenz, Apoorv Shanker, Jessica Z. Kubicek-Sutherland

“…The HTC assay, by mimicking both spatial and temporal aspects of immune interactions, provides enhanced physiological relevance. …”
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GIS assessment of soil erosion in Uzbekistan's rainfed mountain lands by Sodikova Gulchekhra, Shamsiddinov Tulkin, Shadieva Nilufar, Usmonova Matlyuba

“…The analysis identifies critical degradation hotspots, revealing the influence of topographical diversity, climatic variations, and human activities, including overgrazing and unsustainable land-use practices. Predictive models were developed to evaluate the future risks associated with soil erosion, offering significant insights into the dynamics of soil fertility and its implications for agricultural productivity. …”
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