Beyond HIV prevalence: identifying people living with HIV within underserved areas in South Africa by Frank Tanser, Hana Kim, Diego F Cuadros, Andrew Tomita, Alain Vandormael

“…In this study, we generated high-resolution HIV prevalence maps and identified people living with HIV (PLHIV) in underserved areas to provide essential information for the optimal allocation of HIV-related services.Methods The data come from the South Africa Demographic and Health Survey conducted in 2016 and spatial variables from other published literature. …”
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The Improved MNSPI Method for MODIS Surface Reflectance Data Small-Area Restoration by Meixiang Wang, Wenjuan Zhang, Bowen Wang, Xuesong Ma, Peng Qi, Zixiang Zhou

“…By comprehensively utilizing temporal–spatial–spectral information, we propose an algorithm for restoring small missing regions. …”
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A Research Study on the Effective Power Reception Area of One-to-Many Wireless Power Transfer Systems by Ke Guo, Xinyue Zhang, Yi Yang, Jiahui Li, Zeyang Liu

“…Next, finite element simulations are conducted to analyze the mutual inductance variations caused by spatial misalignment of the coils. …”
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Study on Dynamic Response and Progressive Collapse Resistance of Space Steel Frame Under Impact Load by Junling Jiang, Zhishuang Zhang, Changren Ke

“…Systematic comparisons were conducted on the influence of varying impact parameters on structural dynamic responses. …”
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Energy-resolved neutron imaging and diffraction including grain orientation mapping using event camera technology by Tsviki Y. Hirsh, Andrew F. T. Leong, Adrian S. Losko, Alexander Wolfertz, Daniel J. Savage, Tim T. Jäger, John Rakovan, James J. Wall, Alexander M. Long, Sven C. Vogel

“…Energy-resolved imaging, on the other hand, offers both spatial and spectral information by detecting Bragg edges and neutron absorption resonances, which enables detailed mapping of microstructure and isotopic composition. …”
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3D long time spatiotemporal convolution for complex transfer sequence prediction by Qiu Yunan, Cui Yingjie, Tang Haibo, Chen Zhongfeng, Lu Zhenyu, Xue Feng

“…However, two challenges still exist in the existing methods: 1) Most of the existing spatio-temporal prediction tasks focus on extracting temporal information using recurrent neural networks and using convolution networks to extract spatial information, but ignore the fact that the forgetting of historical information still exists as the input sequence length increases. 2) Spatio-temporal sequence data have complex non-smoothness in both temporal and spatial, such transient changes are difficult to be captured by existing models, while such changes are often particularly important for the detail reconstruction in the image prediction task. …”
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Design and Research of Low-Cost and Self-Adaptive Terrestrial Laser Scanning for Indoor Measurement Based on Adaptive Indoor Measurement Scanning Strategy and Structural Characteri... by Zhongyue Zhang, Huixing Zhou, Shun Wang, Chongwen Xu, Yannan Lv

“…Besides, this paper presents modified RANSAC-TLS (random sample consensus-total least squares) plane fitting algorithm, on basis of TLS point cloud distribution characteristics and spatial transformation. Through actual measurement test, it is concluded that the “on-boundary segmentation algorithm” and “on-angular-distance segmentation algorithm” are suitable for point cloud segmentation in different types of scenes. …”
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Remote sensing characterisation of cropping systems and their water use to assess irrigation management from field to canal command scale by Jorge L. Peña-Arancibia, Mobin-ud Din Ahmad, Yingying Yu

“…The multiannual 10-day frequency is achieved through blending of 'low spatial resolution-high temporal frequency' MODIS images (500 m and daily) and 'high spatial resolution-low temporal frequency' Landsat images (30 m and every 16 days). …”
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Dynamics of post fire plant community assembly in Doñana coastal dunes by Sergio Chozas, André F. Mira, Manuel Serrano, Nagore G. Medina, Joaquín Hortal, María Cruz Díaz-Barradas

“…Finally, to investigate the spatial structure of the shrub communities, a co-occurrence network was constructed and Moran’s I analyses were conducted. …”
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A Method for Prediction and Analysis of Student Performance That Combines Multi-Dimensional Features of Time and Space by Zheng Luo, Jiahao Mai, Caihong Feng, Deyao Kong, Jingyu Liu, Yunhong Ding, Bo Qi, Zhanbo Zhu

“…Subsequently, this study conducted data ablation experiments, the results of which proved the rationality of the feature selection in this study. …”
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VMMT-Net: A Dual-Branch Parallel Network Combining Visual State Space Model and Mix Transformer for Land–Sea Segmentation of Remote Sensing Images by Jiawei Wu, Zijian Liu, Zhipeng Zhu, Chunhui Song, Xinghui Wu, Haihua Xing

“…Recent deep learning approaches lack the ability to model spatial continuity effectively, thereby limiting a comprehensive understanding of coastline features in remote sensing imagery. …”
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Preliminary Study on Near-Surface Air Temperature Lapse Rate Estimation and Its Spatiotemporal Distribution Characteristics in Beijing–Tianjin–Hebei Mountainous Region by Qichen Lv, Mingming Sui, Shanyou Zhu, Guixin Zhang, Yuxin Li

“…It then estimates the spatial distribution of near-surface air temperature (SAT) and normalized near-surface air temperature (nSAT) by integrating station observations. …”
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Freeze–Thaw-Induced Degradation Mechanisms and Slope Stability of Filled Fractured Rock Masses in Cold Region Open-Pit Mines by Jun Hou, Penghai Zhang, Ning Gao, Wanni Yan, Qinglei Yu

“…This research successfully establishes a spatial field of mechanical parameters and evaluates slope stability, providing a theoretical foundation and parameter support for the long-term service evaluation and stability assessment of cold-region open-pit mine slopes.…”
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Self-Correlation Network With Triple Contrastive Learning for Hyperspectral Image Classification With Noisy Labels by Kwabena Sarpong, Mohammad Awrangjeb, Md. Saiful Islam, Islam Helmy

“…Then, we propose a cross-convolutional with a self-correlation network (ConvSCNet) module to extract spatial-spectral feature representation from all augmented samples. …”
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Regional Glacier Mapping and Change Analysis in the Gangshika Region of Qilian Mountain Based on Deep Learning and Satellite Data Time-Series by Lihao Chen, Wei Xu, Zhen Cao, Jiaqi Zhang, Zhizhong Kang

“…For the extraction of glaciers with different scales, multiscale contextual information was represented through Atrous spatial pyramid pooling module. The predicted probability maps were first obtained. …”
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Mitigating Risks in Hospital Facilities—An Analysis of the Relationship Between Healthcare Risks and the Built Environment: A Literature Review and Survey in the Italian Scenario by Beatrice Pattaro, Michele Dolcini, Andrea Brambilla, Stefano Capolongo

“…The results reveal critical gaps in implementation, particularly in spatial flexibility, environmental monitoring, and antimicrobial surfaces. …”
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Geographic Variation in the Prevalence of Candidatus Neoehrlichia procyonis in Raccoons (Procyon lotor) in the United States and Canada by Meghan Lewis, Kayla B. Garrett, Christopher A. Cleveland, Sonia M. Hernandez, Mark Swain, Michael J. Yabsley

“…N. procyonis is widespread in raccoon populations in the United States but there is spatial variation which may be related to vector distribution or some other factor. …”
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Geospatial Modelling for Estimation of PM2.5 Concentrations in Two Megacities in Peninsular India by V. P. Lavanyaa, S. Varshini, Souvik Sankar Mitra, Kiran M. Hungund, Rudrodip Majumdar, R. Srikanth

“…Therefore, extensive scientific studies must be conducted to assess the PM2.5 exposures of Indians and determine the “exposure-response function” specific to India. …”
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A framework for scalable ambient air pollution concentration estimation by Liam J. Berrisford, Lucy S. Neal, Helen J. Buttery, Benjamin R. Evans, Ronaldo Menezes

“…We introduce a scalable data-driven supervised machine learning model framework designed to address temporal and spatial data gaps by filling missing measurements within the United Kingdom. …”
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Remote Sensing Reveals Multidecadal Trends in Coral Cover at Heron Reef, Australia by David E. Carrasco Rivera, Faye F. Diederiks, Nicholas M. Hammerman, Timothy Staples, Eva Kovacs, Kathryn Markey, Chris M. Roelfsema

“…Satellite-based observations offer the ability to up-scale the spatial extent of monitoring efforts to larger reef areas, providing valuable insights into benthic trajectories through time. …”
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