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  1. 3201

    Evaluation of the Accuracy and Applicability of Reanalysis Precipitation Products in the Lower Yarlung Zangbo Basin by Anqi Tan, Ming Li, Heng Liu, Liangang Chen, Tao Wang, Binghui Yang, Min Wan, Yong Shi

    Published 2025-07-01
    “…Results indicate TPMFD performed best overall, capturing spatiotemporal patterns effectively (correlation coefficients 0.6–0.8, low RBIAS). …”
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  2. 3202

    Study on the Coupling Coordination Relationship Between Rural Tourism and Agricultural Green Development Level: A Case Study of Jiangxi Province by Fenghua Liu, Liguo Wang, Jiangtao Gao, Yiming Liu

    Published 2025-04-01
    “…Local spatial associations show coexisting patterns of ‘high-high’ synergy and ‘low-low’ lock-in”. …”
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  3. 3203

    Driving Forces of Agricultural Land Abandonment: A Lithuanian Case by Daiva Juknelienė, Viktorija Narmontienė, Jolanta Valčiukienė, Gintautas Mozgeris

    Published 2025-04-01
    “…The importance of soil quality, productivity, and the presence of nearby arable land was found to vary depending on data accuracy and local environmental conditions, highlighting the complexity of agricultural land use patterns. The chosen mixed-method approach, combining qualitative surveys with numerical spatial modelling, demonstrates potential for identifying critical land use areas and providing insights to improve land management policies and decision making.…”
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  4. 3204

    Bacterial Community Structure and Environmental Driving Factors in the Surface Sediments of Six Mangrove Sites from Guangxi, China by Ying Liu, Songze Chen, Jinyu Liang, Jingjing Song, Yue Sun, Riquan Liao, Mingzhong Liang, Hongming Cao, Xiuhao Chen, Yuxia Wu, Liting Bei, Yuting Pan, Baishu Yan, Yunru Li, Yun Tao, Rongping Bu, Bin Gong

    Published 2024-12-01
    “…However, little is known about their community composition, spatial distribution patterns, and environmental driving factors, particularly across the large geographical scales of mangrove wetlands. …”
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  5. 3205

    Learning place cells and remapping by decoding the cognitive map by Markus Borud Pettersen, Vemund Schøyen, Anders Malthe-Sørenssen, Mikkel E Lepperød

    Published 2025-07-01
    “…To obtain a position estimate, we propose a non-trainable decoding scheme applied to network output units, inspired by the localized firing patterns of place cells. We find that output units learn place-like spatial representations, while upstream recurrent units become boundary-tuned. …”
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  6. 3206

    Exploring the impact process and mechanism of geological hazards on land use from the perspective of debris flow gullies by Xiaobo Liu, Xiaobo Liu, Ran Zhu, Hao Zhang, Xiaoshuang Zhuo

    Published 2025-05-01
    “…Key indicators derived from this methodology were combined with ordinary least squares (OLS) regression analysis to identify critical factors governing the spatial distribution patterns of land use. Building on these analyses, the research further elucidated the mutual interaction mechanisms between debris flow disasters and land use dynamics. …”
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    Article
  7. 3207

    Improving Solar Radiation Forecasting in Cloudy Conditions by Integrating Satellite Observations by Qiangsheng Bu, Shuyi Zhuang, Fei Luo, Zhigang Ye, Yubo Yuan, Tianrui Ma, Tao Da

    Published 2024-12-01
    “…To alleviate this limitation, this study develops a hybrid network which relies on a convolutional neural network to extract cloud motion patterns from time series of satellite observations and a long short-term memory neural network to establish the relationship between future solar radiation and cloud information, as well as antecedent measurements. …”
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  8. 3208

    Multiplex imaging analysis of the tumor immune microenvironment for guiding precision immunotherapy by Feng Liu, Feng Liu, Feng Liu, Guiqing Li, Guiqing Li, Yi Zheng, Yi Zheng, Yanxia Liu, Yanxia Liu, Kang Liu, Kang Liu

    Published 2025-07-01
    “…Cutting-edge multiplex imaging technologies have significantly advanced our understanding of the tumor immune microenvironment (TIME), delivering nanometer-scale spatial resolution that illuminates previously inaccessible cellular interactions and organizational patterns. …”
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    Article
  9. 3209

    Internal Cumulated Dose of Toxic Metal(loid)s in a Population Residing near Naturally Occurring Radioactive Material Waste Stacks and an Industrial Heavily Polluted Area with High... by Manuel Contreras-Llanes, Juan Alguacil, Rocío Capelo, José Luis Gómez-Ariza, Javier García-Pérez, Beatriz Pérez-Gómez, Piedad Martin-Olmedo, Vanessa Santos-Sánchez

    Published 2025-02-01
    “…This study analyses the association between cumulated exposure levels to 16 metal(loid)s (Al, As, Cd, Co, Cr, Cu, Fe, Mn, Mo, Ni, Pb, Se, Tl, U, V, and Zn) measured in the toenail of a sample (<i>n</i> = 55 participants) of the general control population of Huelva City who were involved in the MCC-Spain study and the spatial proximity patterns to the local polluting sources. …”
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  10. 3210
  11. 3211

    Predicting determinants of unimproved water supply in Ethiopia using machine learning analysis of EDHS-2019 data by Jember Azanaw, Mihret Melese, Eshetu Abera Worede

    Published 2025-04-01
    “…Geographic differences in access to better water sources were found through spatial analysis, with rural areas being the most impacted. …”
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  12. 3212

    PAQR5 drives the malignant progression and shapes the immunosuppressive microenvironment of hepatocellular carcinoma by activating the NF-κB signaling by Ruida Yang, Huanhuan Wang, Cong Wu, Yu Shi, Hanqi Li, Xinyue Bao, Yuqian Yang, Shaoshan Han, Xue Yang, Jie Tao, Hao Sun, Shaobo Wu, Liankang Sun

    Published 2025-05-01
    “…Utilizing data from bulk, single-cell, and spatial transcriptomics cohorts, this study systematically assessed the expression patterns, immune landscape, and functional characteristics of PAQR5 across different levels of resolution in HCC. …”
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    Article
  13. 3213

    Exploring the Spatio-Temporal Dynamics and Factors Influencing PM<sub>2.5</sub> in China’s Prefecture-Level and Above Cities by Long Chen, Yanyun Nian, Minglu Che, Chengyao Wang, Haiyuan Wang

    Published 2025-06-01
    “…To address these limitations, this research utilized PM<sub>2.5</sub> concentration data derived from satellite remote sensing and employed exploratory spatio-temporal data analysis (ESTDA) methods to investigate the spatio-temporal evolution patterns of PM<sub>2.5</sub> in Chinese cities from 2000 to 2021. …”
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  14. 3214
  15. 3215
  16. 3216

    Study on the incremental carbon sink of tea plantations under spatio-temporal variation characteristics by Yaxiang Pan, Yaxiang Pan, Jingling Bao, Jingling Bao, Yuxuan Ji, Yuxuan Ji, Wen Li, Wen Li, Weiyu Lin, Shuisheng Fan, Shuisheng Fan, Shuisheng Fan, Liyu Mao, Liyu Mao

    Published 2025-03-01
    “…It is of great significance to clarify the spatial and temporal patterns of carbon sinks in tea plantations, and to analyse the driving factors of carbon sinks in tea plantations, in order to understand the characteristics of carbon sinks in tea plantations, and to expand the ways of increasing carbon sinks in tea plantations. …”
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  17. 3217

    Bottom Trawling and Multi‐Marker eDNA Metabarcoding Surveys Reveal Highly Diverse Vertebrate and Crustacean Communities: A Case Study in an Urbanized Subtropical Estuary by Jack Chi‐Ho Ip, Hai‐Xin Loke, Sam King Fung Yiu, Meihong Zhao, Yixuan Li, Yitao Lin, Chun‐Ming How, Jiezhang Mo, Meng Yan, Jinping Cheng, Vincent Chi‐Sing Lai, Leo Lai Chan, Kenneth Mei Yee Leung, Jian‐Wen Qiu

    Published 2024-11-01
    “…In addition, multivariate analyses of the eDNA data revealed spatial patterns of fish and crustacean assemblages that might be associated with sediment loading, oxygen, and nutrient levels. …”
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  18. 3218
  19. 3219

    Multi-omics characterization of oncosis in spinal cord injury by Zhipeng Jiang, Youwei Guo, Zihan Wang, Jinhao Ouyang, Hailong Huang, Haoxuan Huang, Tianqian Shen, Lei Wang, Wen Yin, Xingjun Jiang, Caiping Ren

    Published 2025-08-01
    “…Six candidate genes (Trp53, Casp3, Jun, Tmem123, Chmp6, Map2) were identified based on their temporal expression patterns. Single-cell RNA sequencing and spatial transcriptomics revealed specific cell-type specificity and lesion-centered spatial enrichment of these genes. …”
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  20. 3220