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  1. 2621

    Potential, economic and ecological benefits of sweet sorghum bio-industry in China by Ru Zhang, Gang Lin, Li Shang, Xiaoyuan Wu, Zhiquan Liu, Longchao Xu, Qinglin Sun, Jingying Fu, Huaiqing Hao, Hai-Chun Jing

    Published 2024-11-01
    “…However, few studies have been conducted on the potential of sweet sorghum yield and appropriate industrial models in different marginal regions in China. …”
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    Article
  2. 2622

    Retrieval and Comparison of Multi-Satellite Polar Ozone Data from the EMI Series Instruments by Kaili Wu, Ziqiang Xu, Yuhan Luo, Qidi Li, Kai Yu, Fuqi Si

    Published 2024-09-01
    “…The results from October to November 2023 indicated a fine correlation (R = 0.98) between the daily EMI series data and a fine correlation (R ≥ 0.95) and spatial distribution closely resembling that of the TROPOMI TOCs. …”
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    Article
  3. 2623

    Community structure and diversity of soil nematodes in different slope directions of wild cherry plum forests in Xinjiang, China by CAO Jing, CUI Dong, JIANG Zhicheng, YAN Jiangchao, WU Yunhao, LIU Junqi, GUO Jinfeng, HAN Yaxin, HAN Shutong

    Published 2025-08-01
    “…[Objective] This study elucidates the spatial differentiation pattern of nematode communities in soils in slopes facing different directions and provides reference for the conservation and scientific management of wild cherry plum forest population. …”
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    Article
  4. 2624

    Unsupervised Anomaly Detection in Spatio‐Temporal Stream Network Sensor Data by Edgar Santos‐Fernandez, Jay M. Ver Hoef, Erin E. Peterson, James McGree, Cesar A. Villa, Catherine Leigh, Ryan Turner, Cameron Roberts, Kerrie Mengersen

    Published 2024-11-01
    “…While these sensors provide near real‐time data for science, the data are prone to technical anomalies that can undermine the trustworthiness of the data and the accuracy of statistical inferences, particularly in spatial and temporal analyses. Here we propose a framework for detecting anomalies in sensor data recorded in stream networks, which takes advantage of spatial and temporal autocorrelation to improve detection rates. …”
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    Article
  5. 2625

    Mycenaean Vitreous Artifacts: Overcoming Taxonomy Hurdles via Macro-XRF Analysis by Artemios Oikonomou, Maria Kaparou, Anastasios Asvestas, Kalliopi Tsampa, Ourania Kordali, Konstantinos Nikolentzos, Katia Manteli, Aikaterini Voutsa, Georgianna Moraitou, Dimitrios F. Anagnostopoulos, Andreas G. Karydas

    Published 2025-03-01
    “…The results presented in this study are from a subset of artifacts examined using MA- XRF, highlighting critical insights into the spatial compositional shifts that contribute to visible deterioration. …”
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    Article
  6. 2626
  7. 2627
  8. 2628

    FAHM: Frequency-Aware Hierarchical Mamba for Hyperspectral Image Classification by Peixian Zhuang, Xiaochen Zhang, Hao Wang, Tianxiang Zhang, Leiming Liu, Jiangyun Li

    Published 2025-01-01
    “…Specifically, FAHM is comprised of three main parts: a spatial-spectral interaction block (SSIB), a frequency group embedding module (FGEM), and an adaptive bidirectional Mamba block (ABMB). …”
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    Article
  9. 2629

    MWFNet: A multi-level wavelet fusion network for hippocampal subfield segmentation by Xinwei Li, Linjin Wang, Weijian Tao, Hongying Meng, Haiming Li, Jiangtao He, Yue Zhao, Jun Hu, Zhangyong Li

    Published 2025-07-01
    “…MARB integrates channel and spatial attention to adaptively extract the most effective image features. …”
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    Article
  10. 2630

    Geographical feature and method factors significantly influence the reliability of ecological source information transmission at multi-scale by Kai Li, Wei Wu, Shiqi Tian, Linjuan Li, Zhe Li, Yue Cao

    Published 2025-01-01
    “…Ecological networks play a crucial role in balancing conservation and development, with notable dependencies on spatial scale, particularly within specific scale ranges. …”
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    Article
  11. 2631

    Land formalization and its efficacy: Experience from Dar es Salaam, Tanzania by C. Lucian, K.T. Semindu

    Published 2025-01-01
    “…And what challenges hinder their resolution? Spatial analysis was conducted using GIS to map dispute hotspots, while statistical tools, including the Relative Importance Index (RII) and Pearson correlation, were used to identify key causal factors. …”
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    Article
  12. 2632

    Analyzing the Supply and Demand Dynamics of Urban Green Spaces Across Diverse Transportation Modes: A Case Study of Hefei City’s Built-Up Area by Kang Gu, Jiamei Liu, Di Wang, Yue Dai, Xueyan Li

    Published 2024-11-01
    “…With the increasing demands of urban populations, achieving a balance between the supply and demand in the spatial allocation of urban green park spaces (UGSs) is essential for effective urban planning and improving residents’ quality of life. …”
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    Article
  13. 2633

    SAM-ResNet50: A Deep Learning Model for the Identification and Classification of Drought Stress in the Seedling Stage of <i>Betula luminifera</i> by Shiya Gao, Hao Liang, Dong Hu, Xiange Hu, Erpei Lin, Huahong Huang

    Published 2024-11-01
    “…Firstly, visible-light images were obtained from a drought stress experiment conducted on <i>B. luminifera</i> shoots. Considering the images’ characteristics, we proposed an SAM-CNN architecture by incorporating spatial attention modules into classical CNN models. …”
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    Article
  14. 2634

    An investigation of the impact of Canadian wildfires on US air quality using model, satellite, and ground measurements by Z. Xue, Z. Xue, N. Udaysankar, S. A. Christopher

    Published 2025-06-01
    “…In order to quantify the daily changes in surface pollution, we fill in the AOD gaps by utilizing simulated 10 <span class="inline-formula">km</span> spatial resolution AOD from a chemistry transport model (CTM). …”
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    Article
  15. 2635

    Representation of a two-way coupled irrigation system in the Common Land Model by S. Zhang, H. Liang, F. Li, X. Lu, Y. Dai

    Published 2025-07-01
    “…., runoff, streamflow, reservoir storage) and groundwater. Simulations conducted from 2001 to 2016 at a 0.25° spatial resolution across the contiguous United States reveal that the model effectively reproduces irrigation withdrawals, their spatial distribution, and water source proportions, aligning well with reported state-level statistics. …”
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    Article
  16. 2636

    Species structure and year-to-year dynamics of nekton biomass in the upper epipelagic layer of the Pacific waters at Kuril Islands in summer periods of the 2000s by Alexey A. Khoruzhiy, Svetlana V. Naydenko

    Published 2014-03-01
    “…Abundance, species composition, and spatial density of nekton in the upper epipelagic layer (0-50 m) of this area are considered on the data of trawl surveys conducted in June-July of 2004-2012. …”
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    Article
  17. 2637

    An Emerging Issue of Human-Leopard Conflict in the Human-Dominated Landscape of Mid-Hills: A Case Study from Tanahun District of Nepal by Shalik Ram Kandel, Bijaya Neupane, Mahamad Sayab Miya, Bipana Maiya Sadadev, Namrata Devi Khatri, Bijaya Dhami

    Published 2023-01-01
    “…Information on the spatial and temporal patterns of losses caused by leopard (Panthera pardus) in terms of human attacks and livestock depredation in the human-dominated landscape of the mid-hills of Nepal is essential in formulating and implementing effective mitigation measures. …”
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    Article
  18. 2638

    Experimental research to develop simple mathematical imagination in preschool children through music by Myagmar Byambajav, Narantsetseg Banzragch

    Published 2022-12-01
    “…It has been observed that Music and Mathematics training can be conducted in an integrated way and be more effective when children perform exercises on number sequences, regularity, spatial relations, etc. while listening to the rhythm of music, singing, performing musical movements, or playing simple musical instruments. …”
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  19. 2639

    Asthma prevalence and risk factors in Poonch and Rajouri districts, India: an epidemiological and geospatial analysis by Arshad Ahmed, Kheraj, Jorge Rocha, Alireza Mohammadi

    Published 2025-07-01
    “…Altitude appears protective, while social structure, economic activities, and housing conditions modulate asthma risk. GIS-based spatial analysis effectively identifies high-risk areas, underscoring the need for targeted public health interventions tailored to the specific needs of these geographically isolated communities.…”
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    Article
  20. 2640