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  1. 7701

    Perceiving Fifth Facade Colors in China’s Coastal Cities from a Remote Sensing Perspective: A New Understanding of Urban Image by Yue Liu, Richen Ye, Wenlong Jing, Xiaoling Yin, Jia Sun, Qiquan Yang, Zhiwei Hou, Hongda Hu, Sijing Shu, Ji Yang

    Published 2025-06-01
    “…This study targeted 56 Chinese coastal cities, decoding the spatiotemporal patterns of their fifth facade color (FFC). Through developing an innovative natural color optimization algorithm, the oversaturation and color bias of Sentinel-2 imageries were addressed. …”
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  2. 7702

    Validation of LLM-Generated Object Co-Occurrence Information for Understanding Three-Dimensional Scenes by Kenta Gunji, Kazunori Ohno, Shuhei Kurita, Ken Sakurada, Ranulfo Bezerra, Shotaro Kojima, Yoshito Okada, Masashi Konyo, Satoshi Tadokoro

    Published 2024-01-01
    “…This study delves into verifying the applicability of object co-occurrence information generated by a large-scale language model (LLM) to enhance a robot’s spatial ability to understand objects in the real world. …”
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  3. 7703

    Spatio-temporal distribution, prediction and relationship of three major acute cardiovascular events: Out-of-hospital cardiac arrest, ST-elevation myocardial infarction and stroke by Angelo Auricchio, Tommaso Scquizzato, Federico Ravenda, Ruggero Cresta, Stefano Peluso, Maria Luce Caputo, Stefano Tonazzi, Claudio Benvenuti, Antonietta Mira

    Published 2024-12-01
    “…All the three diseases showed a similar spatial pattern. Conclusions: Prediction of incidence of OHCA, STEMI, and stroke is possible with very high accuracy using INLA and MLMM models. …”
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  4. 7704
  5. 7705

    Disaster Resilience Evaluation of Mountainous Rural Communities: A Case Study of Representative Villages in the Anning River Basin, Liangshan Prefecture by Wu Yuanfei, Liu Mengying, Tian Bingwei, Tian Renjie, Hu Yifan

    Published 2025-04-01
    “…The study validates the applicability of the PSR model in mountainous rural contexts, highlighting a "state resilience dominance with response capacity gaps" pattern. Notably, communities with higher state resilience demonstrate stronger recovery capabilities despite elevated hazard pressures, underscoring the importance of robust infrastructure and social cohesion. …”
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  6. 7706

    Canopy Chlorophyll Content Inversion of Mountainous Heterogeneous Grasslands Based on the Synergy of Ground Hyperspectral and Sentinel-2 Data: A New Vegetation Index Approach by Yi Zheng, Yao Wang, Tayir Aziz, Ali Mamtimin, Yang Li, Yan Liu

    Published 2025-06-01
    “…This study confirms that the synergistic use of multi-source data effectively overcomes the limitations of the spectral–spatial resolution of a single data source, providing a novel methodology for the precision monitoring of mountain ecosystems.…”
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  7. 7707

    Solar Radiation Modification impact on precipitation and temperature extremes in Hunan, China by Haiyuan Tang, Mou Leong Tan, Zeqian Feng, Narimah Samat, Fei Zhang

    Published 2025-10-01
    “…Both SRM scenarios reduce heavy rainfall indices (Rx1day, Rx5day, R20mm), particularly after 2070, suggesting potential in flood risk mitigation. However, spatial patterns differ between G6solar and G6sulfur due to aerosol dispersion differences. …”
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  8. 7708

    Study on the Reproductive Group Behavior of <i>Schizothorax wangchiachii</i> Based on Acoustic Telemetry by Bo Li, Fanxu Hu, Wenjing Li, Wei Su, Jiazhi Zhu, Wei Jiang

    Published 2025-07-01
    “…By integrating trajectory similarity analysis and wavelet transform, we examined the aggregation patterns and activity rhythms during natural spawning events. …”
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  9. 7709

    A visualized bibliometric analysis on remote sensing monitoring of methane emissions in coal mines by CUI Ximin, GUO Wei, SHI Guobin, LI Qingqing, YAO Hansi, ZHANG Yuhuan, ZHAO Yuling, RIENOW Andreas

    Published 2025-06-01
    “…We identified the evolving trends of leading countries, research institutions, and research domains with top research contributions and proposed intermediary centrality metrics that reflect patterns of international collaboration: The United States (181 articles) and China (98 articles) are the 2 leading countries with the highest contributions of publications, followed by Germany and Canada; The National Aeronautics and Space Administration (NASA) ranks the first among research institutions with 66 publications, while the Chinese Academy of Sciences ranks the fifth globally; Satellite remote sensing, methane concentration retrieval, methane quantification, and intelligent data processing are the current research priorities in this field; International studies focus more on global methane emission monitoring and policy-driven technological innovations while domestic studies excel in monitoring and intelligent management of methane emissions in coal mines; Co-citation analysis revealed that advancements in high-resolution remote sensing and retrieval technologies have significantly enhanced the spatial and temporal precision of methane emission monitoring. …”
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  10. 7710

    Insights into Conjugate Hemispheric Ionospheric Disturbances Associated with the Beirut Port Explosion on 4 August 2020 Using Multi Low-Earth-Orbit Satellites by Adel Fathy, Yuichi Otsuka, Essam Ghamry, Dedalo Marchetti, Rezy Pradipta, Ahmed I. Saad Farid, Mohamed Freeshah

    Published 2025-05-01
    “…Additionally, the ionospheric disturbances detected by Swarm-B (18:52 UT) and DMSP-F17 (16:30 UT) at the same location suggested travelling ionospheric disturbance (TID) oscillations with identical spatial patterns for both satellites, whereas the disturbances observed by COSMIC-2 south of the explosion site (10°N) indicated the radial propagation of TIDs. …”
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  11. 7711

    Relationship between continuous or discontinuous of controlling factors and landslide susceptibility in the high-cold mountainous areas, China by Heping Shu, Shi Qi, Xingrong Liu, Xianxian Shao, Xingkun Wang, Dongyuan Sun, Sangjie Yang, Jiale He

    Published 2025-03-01
    “…The average accuracy of CIV, ALSA, and RF were 0.870, 0.923, and 0.894, respectively. The spatial distribution of LS generally showed similar patterns under different combinations of evaluation factors and methods. …”
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  12. 7712

    Plume-lithosphere interaction in the Comei Large Igneous Province: Evidence from two types of mafic dykes in Gyangze, south Tibet, China by Ya-ying Wang, Ling-sen Zeng, Li-e Gao, Li-long Yan, Ling-hao Zhao, Jia-hao Gao, Ying-long Di, Guang-xu Li, Yi-hong Tian

    Published 2024-01-01
    “…The “weak enriched-type ” samples, including T1194-A and T0902 dykes, have REEs and trace element patterns showing within-plate affinity but have obvious Nb-Ta-Ti negative anomalies. …”
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  13. 7713

    Direct Estimation of Forest Aboveground Biomass from UAV LiDAR and RGB Observations in Forest Stands with Various Tree Densities by Kangyu So, Jenny Chau, Sean Rudd, Derek T. Robinson, Jiaxin Chen, Dominic Cyr, Alemu Gonsamo

    Published 2025-06-01
    “…These findings suggest that MCWS can be supplemented with self-supervised deep learning to directly estimate biomass components in complex forest structures as well as atypical forest conditions where stand density and spatial patterns are manipulated.…”
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  14. 7714

    Vulnerability assessment for reducing risk of environmental hazards based on ecosystem services: Case of Alborz Province by Naser Moghadasi, Sharareh Pourebrahim, Hosein Azarnivand

    Published 2017-09-01
    “…Complete identification of pre-existing risks and their spatial analysis can help in the development of conservation strategies for vulnerable areas.…”
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  15. 7715

    A deep learning model based on self-supervised learning for identifying subtypes of proliferative hepatocellular carcinoma from dynamic contrast-enhanced MRI by Hui Qu, Shuairan Zhang, Xuedan Li, Yuan Miao, Yuxi Han, Ronghui Ju, Xiaoyu Cui, Yiling Li

    Published 2025-04-01
    “…The model analyzes temporal and spatial patterns in DCE-MRI data to identify the proliferative subtype efficiently and accurately. …”
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  16. 7716

    Intensifying cropping sequences in the US Central Great Plains: an in silico analysis of a sorghum–wheat sequence by Lucia Marziotte, Ana J. P. Carcedo, Daniel Rodriguez, Laura Mayor, P. V. Vara Prasad, Ignacio A. Ciampitti, Ignacio A. Ciampitti

    Published 2025-05-01
    “…Counties from the north-east of the state showed similar patterns amongst scenarios. These results highlight potential avenues for diversifying and intensifying the current wheat monocrop sequence while maintaining or increasing profitability. …”
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  17. 7717
  18. 7718

    Agent-based modelling of Mycobacterium tuberculosis transmission: a systematic review by Viet Long Bui, Angus E. Hughes, Romain Ragonnet, Michael T. Meehan, Alec Henderson, Emma S. McBryde, James M. Trauer

    Published 2024-12-01
    “…Abstract Background Traditional epidemiological models tend to oversimplify the transmission dynamics of Mycobacterium tuberculosis (M.tb) to replicate observed tuberculosis (TB) epidemic patterns. This has led to growing interest in advanced methodologies like agent-based modelling (ABM), which can more accurately represent the complex heterogeneity of TB transmission. …”
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  19. 7719

    Nitrogen content estimation of apple trees based on simulated satellite remote sensing data by Meixuan Li, Xicun Zhu, Xicun Zhu, Xinyang Yu, Cheng Li, Dongyun Xu, Ling Wang, Dong Lv, Yuyang Ma

    Published 2025-07-01
    “…The support vector machine model constructed based on Sentinel-2 satellite simulated data was the optimal nitrogen content inversion model, with an average R² value of 0.81 and an average RMSE value of 0.15 for training sets across different phenological periods, and an average R² value of 0.61 and an average RMSE value of 0.23 for validation sets.DiscussionThis study systematically evaluated the applicability and accuracy differences of multi-source satellite data for estimating nitrogen content in apple trees, and clarified the variation patterns of nitrogen-sensitive spectral bands and optimal modeling strategies across key phenological stages. …”
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  20. 7720

    The impact of meteorological conditions on cardiovascular and cerebrovascular diseases in different microclimatic zones of low-latitude mountainous areas by Zhengjing Du, Fang Xiong, Yanjing Tang, Xiaoling Xia, Yuandong Hu, Fangfang Wang

    Published 2024-12-01
    “…DPR and PCN displayed varied thresholds across different microclimate without consistent patterns. DPR in middle subtropical region of Jiangkou and warm temperate region of Shuicheng played a protective role, while the risk of the disease increased linearly when DPR was lower than 3.2 hPa and 2.7 hPa in south subtropical region of Ceheng and north subtropical region of Xishui, respectively. …”
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