Integrating Machine Learning, SHAP Interpretability, and Deep Learning Approaches in the Study of Environmental and Economic Factors: A Case Study of Residential Segregation in Las... by Jingyi Liu, Yuxuan Cai, Xiwei Shen

“…Over the past two decades, research on residential segregation and environmental justice has evolved from spatial assimilation models to include class theory and social stratification. …”
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Earth's future climate and its variability simulated at 9 km global resolution by J.-Y. Moon, J.-Y. Moon, J. Streffing, J. Streffing, J. Streffing, S.-S. Lee, S.-S. Lee, T. Semmler, T. Semmler, M. Andrés-Martínez, M. Andrés-Martínez, J. Chen, E.-B. Cho, E.-B. Cho, J.-E. Chu, C. L. E. Franzke, C. L. E. Franzke, J. P. Gärtner, R. Ghosh, J. Hegewald, J. Hegewald, S. Hong, D.-W. Kim, D.-W. Kim, N. Koldunov, J.-Y. Lee, J.-Y. Lee, Z. Lin, C. Liu, S. N. Loza, W. Park, W. Park, W. Roh, W. Roh, D. V. Sein, D. V. Sein, D. V. Sein, S. Sharma, S. Sharma, D. Sidorenko, J.-H. Son, J.-H. Son, J.-H. Son, M. F. Stuecker, Q. Wang, G. Yi, G. Yi, M. Zapponini, T. Jung, T. Jung, A. Timmermann, A. Timmermann

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The Relationships Between Vegetation Changes and Groundwater Table Depths for Woody Plants in the Sangong River Basin, Northwest China by Han Wu, Jie Bai, Junli Li, Ran Liu, Jin Zhao, Xuanlong Ma

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Evaluation of surface albedo products from ERA5, JRA-55, MERRA-2, and CERES-EBAF on the Tibetan Plateau: insights from in-situ observations and MODIS data by Guojin Pang, Lingzhen Meng, Xuejia Wang, Fei Liu, Mengyao Shu, Chunli Ma, Tao Che

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Integration of retinal and extraretinal information across eye movements. by Florian Ostendorf, Raymond J Dolan

“…For successful integration into a coherent representation, the visuomotor system needs to deal with these self-induced perceptual changes and distinguish them from external motion. Forward models are one way to solve this problem where the brain uses internal monitoring signals associated with oculomotor commands to predict the visual consequences of corresponding eye movements during active exploration. …”
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A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network by Qinghao Zhang, Miao Ye, Xiaofang Deng

“…First, the temporal features and modal correlation features extracted from each sensor node are fused into one vector representation, then it is further aggregated with the spatial features represented the spatial position relationship of the nodes; finally,the current time-series data of WSN nodes are predicted, and abnormal states are identified according to the fusion features. …”
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Using Adjoint-Based Forecast Sensitivity to Observation to Evaluate a Wind Profiler Data Assimilation Strategy and the Impact of Data on Short-Term Forecasts by Cheng Wang, Xiang-Yu Huang, Min Chen, Yaodeng Chen, Jiqin Zhong, Jian Yin

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Meeting the WHO physical activity guidelines and health-related quality of life of single parents in Ghana by Obed Jones Owusu-Sarpong, Kabila Abass, Solomon Osei-Tutu, André Hajek, Razak M. Gyasi, Razak M. Gyasi

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Bridging the divide: how agricultural technological innovation narrows the urban–rural income gap in China by Ruofan Liao, Yuheng Wei, Yu Bai, Jianxu Liu

“…This study investigates the comprehensive impact mechanism of agricultural technological innovation on urban-rural income disparities through a multi-dimensional analytical framework integrating productivity enhancement, structural transformation, and spatial heterogeneity effects.MethodsUsing panel data from 280 Chinese cities during 2008 - 2021, we employ two-way fixed effects panel regression models to examine the relationship between agricultural technological innovation (measured by patent applications) and urban–rural income gaps (measured by the Theil index). …”
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Characteristics and influencing factors of daily population flow in the Wuhan Metropolitan Region based on mobile signaling data by DENG Huilin, LIN Sainan

“…[Methods] Taking the Wuhan Metropolitan Region as the research object and based on the mobile signaling big data, point of interest (POI) data and social and economic data in November 2020, the social network analysis method and quadratic assignment procedure (QAP) regression model were applied to analyze the temporal and spatial characteristics of daily population flow in the Wuhan Metropolitan Region at the districts and counties scale. …”
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Interpretable machine learning analysis of environmental characteristics on bacillary dysentery in Sichuan Province by Yao Zhang, Qiao-Lin Wang, Wei Peng, Meng-Yuan Zhang, Yao Qin, Lun Zhang, Rong-Jie Wei, Dian-Ju Kang

“…Additionally, precipitation displayed a U-shaped relationship with BD risk in both the Subtropical Semi-Humid and Plateau Cold Climate Zones.ConclusionThis study developed a climate zone-specific predictive model for BD, systematically evaluating the interactions between environmental factors and BD dynamics. …”
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Microenvironmental Heterogeneity Parallels Breast Cancer Progression: A Histology-Genomic Integration Analysis. by Rachael Natrajan, Heba Sailem, Faraz K Mardakheh, Mar Arias Garcia, Christopher J Tape, Mitch Dowsett, Chris Bakal, Yinyin Yuan

“…Limitations of this study include the number of cell types included in the model, that EDI has prognostic value only in grade 3 tumors, and that our spatial heterogeneity measure was dependent on spatial scale and tumor size.…”
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Mapping tuberculosis prevalence in Africa using a Bayesian geospatial analysis by Alemneh Mekuriaw Liyew, Eyob Alemayehu Gebreyohannes, Andre Python, Archie C. A. Clements, Beth Gilmour, Peter W. Gething, Punam Amratia, Kefyalew Addis Alene

“…Bayesian geostatistical modelling was used to predict TB prevalence across Africa, and results were aggregated to estimate number of TB cases at national and subnational levels. …”
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Infection prevention and control measures during the COVID-19 pandemic and airborne tuberculosis transmission during primary care visits in South Africa by Nicolas Banholzer, Keren Middelkoop, Remo Schmutz, Juane Leukes, Kathrin Zürcher, Matthias Egger, Robin Wood, Lukas Fenner

“…These changes corresponded with a reduction in modeled Mtb transmission risk (0.04% vs 1.36%; P = 0.046). …”
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Spatiotemporal evaluation of irrigation groundwater quality in Hungarian agricultural sites using hydrochemical and machine learning approaches by Musaab A. A. Mohammed, Norbert P. Szabó, Viktória Mikita, Péter Szűcs

“…Groundwater samples from the Debrecen area (2019–2024) were analyzed using Hierarchical Cluster Analysis (HCA), irrigation indices (SAR, Na%, IWQI), and Self-Organizing Maps (SOMs) to understand spatial and temporal patterns. A Convolutional Neural Network (CNN) model was developed to predict IWQI from key water quality parameters, aiming to reduce manual calculation errors. …”
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Revealing the decision-making practices in automated external defibrillator deployment: insights from Shanghai, China by Chaowei Wu, Yeling Wu, Lu Qiao

“…Taking Shanghai, China as the research area, we adopted the kernel density estimation and spatial autocorrelation analysis to explore the spatial distribution characteristics of AEDs. …”
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Scalable Clustering of Complex ECG Health Data: Big Data Clustering Analysis with UMAP and HDBSCAN by Vladislav Kaverinskiy, Illya Chaikovsky, Anton Mnevets, Tatiana Ryzhenko, Mykhailo Bocharov, Kyrylo Malakhov

“…We applied a combination of Uniform Manifold Approximation and Projection (UMAP) for dimensionality reduction and Hierarchical Density-Based Spatial Clustering (HDBSCAN) for unsupervised clustering. …”
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Research on the application of magnetic separation technology for the removal of black powder in natural gas pipelines by Hongwei YANG, Tianyu ZHANG, Fang LIU, Zhen LIU, Junxian CHEN, Wengang YANG

“…MethodsA three-dimensional model was developed using the finite element simulation software COMSOL to replicate magnetic system matrices. …”
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Multi-Scenario Land Use and Carbon Storage Assessment in the Yellow River Delta Under Climate Change and Resource Development by Zekun Wang, Xiaolei Liu, Shaopeng Zhang, Xiangshuai Meng, Hongjun Zhang, Xingsen Guo

“…The results of the study show the following: (1) Over the past 30 years, the land use pattern of the YRD has generally extended toward the sea, with land use transitions mainly from grasslands (the largest reduction: 1096.20 km²), wetlands, reservoirs and ponds, and paddy fields to drylands, culture areas, construction lands, salt pans, and tidal flats. (2) Carbon storage in the YRD exhibits significant spatial heterogeneity. …”
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Integrating geostatistical methods and deep learning for enhanced 87Sr/86Sr isoscape Estimation: A case study in South Korea by Hyeongmok Lee, Go-Eun Kim, Woo-Jin Shin, Yuyoung Lee, Sanghee Park, Kwang-Sik Lee, Jina Jeong, Seung-Ik Park, Sungwook Choung

“…However, generating accurate and spatially continuous isoscape maps from sparse isotopic measurements remains a major challenge due to limited data availability and spatial heterogeneity. …”
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