Spatiotemporal Determinants of Urban Leptospirosis Transmission: Four-Year Prospective Cohort Study of Slum Residents in Brazil. by José E Hagan, Paula Moraga, Federico Costa, Nicolas Capian, Guilherme S Ribeiro, Elsio A Wunder, Ridalva D M Felzemburgh, Renato B Reis, Nivison Nery, Francisco S Santana, Deborah Fraga, Balbino L Dos Santos, Andréia C Santos, Adriano Queiroz, Wagner Tassinari, Marilia S Carvalho, Mitermayer G Reis, Peter J Diggle, Albert I Ko

“…The challenge in elucidating risk factors and informing approaches for prevention is the complex and heterogeneous environment within slums, which vary at fine spatial scales and influence transmission of the bacterial agent.…”
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Probabilistic Interference Prediction for Dynamic 6G In-X Sub-Networks by Pramesh Gautam, Carsten Bockelmann, Armin Dekorsy

“…However, interference prediction is challenging due to complex, dynamic interference associated with randomness in the propagation environment, mobility, and traffic patterns. …”
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Multi-decadal change detection of coastal dune landscapes using different supervised image classification algorithms by Ryan Theodore BENADE, Aune KAMOSHO, Lutobohile Ivonne MAKANDO, Oluibukun Gbenga AJAYI

“…Results revealed Random Forest as the most accurate algorithm, outperforming the others in capturing spectral variability and complex land cover transitions, particularly near rapidly expanding urban centres like Swakopmund and Walvis Bay. …”
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Current and future habitat suitability of northern fur seals and overlap with the commercial walleye pollock fishery in the eastern Bering Sea by Elizabeth A. McHuron, Elliott L. Hazen, Noel A. Pelland, Kelly A. Kearney, Wei Cheng, Albert J. Hermann, Rolf R. Ream, Jeremy T. Sterling

“…We explored how data aggregation at two spatial scales (Pribilof-wide and complex-specific) impacted model performance and predicted distributions. …”
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Identification of surface thermal environment differentiation and driving factors in urban functional zones based on multisource data: a case study of Lanzhou, China by Yixuan Wang, Yixuan Wang, Shuwen Yang, Shuwen Yang, Shuwen Yang

“…The urban functional zone, serving as a bridge to understanding the complex interactions between human spatial activities and surface thermal environmental changes, explores the driving force information of its internal temperature changes, which is crucial for improving the urban thermal environment. …”
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Lightweight and efficient skeleton-based sports activity recognition with ASTM-Net. by Bin Wu, Mei Xue, Ying Jia, Ning Zhang, GuoJin Zhao, XiuPing Wang, Chunlei Zhang

“…However, current Graph Convolutional Network (GCNN)-based methods for skeletal activity recognition face two key limitations: (1) they fail to capture dynamic changes in node affinities induced by movements, and (2) they overlook the interplay between spatial and temporal information critical for recognizing complex actions. …”
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Towards Automated Cadastral Map Improvement: A Clustering Approach for Error Pattern Recognition by Konstantinos Vantas, Vasiliki Mirkopoulou

“…However, FCM struggled to capture the complex spatial nature of errors in both cases. Through the automated identification of problematic regions with different error characteristics, the proposed approach provides actionable insights for targeted, cost-effective cadastral renewal. …”
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Single-Scene SAR Image Data Augmentation Based on SBR and GAN for Target Recognition by Shangchen Feng, Xikai Fu, Yanlin Feng, Xiaolei Lv

“…Nevertheless, the simulated SAR images generated based on random noise lack constraints, and it is also difficult to generate images that exceed the parameter conditions of the real image’s training set. …”
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Zipf's Law, Hierarchical Structure, and Cards-Shuffling Model for Urban Development by Yanguang Chen

“…In this paper, a new angle of view is proposed to find the simple rules dominating complex systems and regular patterns behind random distribution of cities. …”
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Development of longitudinal datasets (2000–2020) with high spatiotemporal resolution for air pollution exposure assessment in CanadaFRDR) by Anas Alhusban, Yasar Burak Oztaner, Markey Johnson, Mastaneh Rezasefat, Negin Hojjatzadeh, Israa Moussa, Mahsa Soleimani, Saeed Nadi, Shunliu Zhao, Hwashin Shin, Joyce J.Y. Zhang, Amir Hakami

“…In an effort to increase the accuracy and spatial resolution of the exposure estimates, especially in complex urban environments, we used statistical and machine learning methods to downscale CMAQ outputs to finer resolutions. …”
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Development of an Augmented Reality-Based Practicum E-Module Integrated with Local Wisdom of Salak Fruit by Heni Mulyani Pohan, Adi Syaputra, Fatma Suryani Harahap, Dinda Yunita, Rabiyatul Adawiyah Siregar, Anouar Ben Mabrouk

“…E-modules that incorporate AR can provide three-dimensional visualizations, making complex topics more accessible and engaging. This study aims to develop and validate practical e-modules using AR technology to enhance students' spatial intelligence while incorporating local wisdom from Padangsidimpuan. …”
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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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An intercomparison of national and global land use and land cover products for Fiji by Kevin P. Davies, John Duncan, Renata Varea, Diana Ralulu, Solomoni Nagaunavou, Nathan Wales, Eleanor Bruce, Bryan Boruff

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Controlling noise with self-organized resetting by Felix J. Meigel, Steffen Rulands

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Pedestrian Trajectory Prediction Based on Transformer and Multi-relation Graph Convolutional Networks by LIU Guihong, ZHOU Zongrun, MENG Xiangfu

“…Pedestrian trajectories are highly random, dynamic, and influenced by their surroundings, necessitating the effective modeling of their temporal and spatial interactions. …”
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Spatiotemporal dynamics reveal high turnover and contrasting assembly processes in fungal communities across contiguous habitats of tropical forests by Chieh-Ping Lin, Yu-Fei Lin, Yu-Ching Liu, Mei-Yeh Jade Lu, Huei-Mien Ke, Isheng Jason Tsai

“…Abstract Background The variation in fungal community composition within a single habitat space has been extensively studied in forest ecosystems. However, the spatial and temporal distribution of fungi across contiguous habitats, particularly at a local scale and in tropical regions, remains underexplored. …”
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EFCRFNet: A novel multi-scale framework for salient object detection. by Hong Peng, Yunfei Hu, Baocai Yu, Zhen Zhang

“…The ECRF module leverages advanced spatial attention mechanisms to enhance multimodal feature fusion, enabling robust detection in complex environments. …”
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Simulation of the Effect of Coal Microstructures on the Macroscopic Mechanical Behavior by Yu Fu, Zhongliang Feng

“…The three-dimensional (3D) reconstruction of coal was conducted to assess the spatial distribution characteristics of the mineral structure by AVIZO software. …”
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AI-Driven segmentation and morphogeometric profiling of epicardial adipose tissue in type 2 diabetes by Fan Feng, Abdallah I. Hasaballa, Ting Long, Xinyi Sun, Justin Fernandez, Carl-Johan Carlhäll, Jichao Zhao

“…Abstract Background Epicardial adipose tissue (EAT) is associated with cardiometabolic risk in type 2 diabetes (T2D), but its spatial distribution and structural alterations remain understudied. …”
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Water Quality Monitoring Using Landsat 8 OLI in Pleasant Bay, Massachusetts, USA by Haley E. Synan, Brian L. Howes, Sara Sampieri, Steven E. Lohrenz

“…Satellite-derived estimates of chlorophyll-a and Secchi depth were acquired using various algorithms including the “Case-2 Regional/Coast Color” (C2RCC), “Case-2 Extreme” (C2X), l2gen processor, and a random forest machine learning algorithm. Based on our results, predictions of water quality indices from both C2RCC and random forest techniques can be a useful addition to existing water quality monitoring efforts, potentially expanding both spatial and temporal coverage of monitoring efforts.…”
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