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Showing 261 - 280 results of 8,314 for search 'spatial (pattern OR patterns)', query time: 0.13s Refine Results
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    Impact of landscape patterns on river water quality: Spatial-scale effects across an agricultural-urban interface by Kun Mei, Haonan Shi, Yupeng Wu, Randy A. Dahlgren, Xiaoliang Ji, Minmin Yang, Yueru Guan

    Published 2025-01-01
    “…In this study, we onducted an in-depth and meticulous exploration of the relationship between the landscape patterns and water quality in the Wen-Rui Tang River watershed at four distinct spatial scales (single subwatershed, dynamic subwatershed, riparian buffer, and reach buffer) and two time scales (dry season and rainy season). …”
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  4. 264

    Spatial Information of Somatosensory Stimuli in the Brain: Multivariate Pattern Analysis of Functional Magnetic Resonance Imaging Data by In-Seon Lee, Won-mo Jung, Hi-Joon Park, Younbyoung Chae

    Published 2020-01-01
    “…However, the effects of stimulus modality (e.g., penetrating needle versus non-penetrating touch) and level of classification (e.g., multiclass versus binary classification) on patterns of brain activity encoding spatial information of body parts have not yet been studied. …”
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    Spatial Patterns in Fish Assemblages across the National Ecological Observation Network (NEON): The First Six Years by Dylan Monahan, Jeff S. Wesner, Stephanie M. Parker, Hannah Schartel

    Published 2023-11-01
    “…Therefore, we calculated the alpha and regional (beta) diversities of wadable stream sites to highlight spatial patterns. As expected, NEON sites followed predictable spatial diversity patterns, which could facilitate future change detection and attribution to changes in environmental drivers, if any.…”
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    Spatial transcriptomic profiling of the human fallopian tube epithelium reveals region-specific gene expression patterns by Jared Sipes, Sagar Rayamajhi, Leonidas E. Bantis, Rashna Madan, Amrita Mitra, Rajni V. Puri, Mohammod Mahmudur Rahman, Foyez Ahmmed, Harsh B. Pathak, Andrew K. Godwin

    Published 2025-03-01
    “…Using the GeoMx Digital Spatial Profiler (DSP) and a targeted ~1800 gene panel, we analyze premenopausal FT epithelium, identifying region-specific gene expression patterns. …”
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    Spatial Patterns and Functioning of Water Springs in the Sacred Landscape Structure: The Case of Lviv and Volyn Oblasts of Ukraine by Olena Mishchenko, Valerii Petlin, Serhii Puhach

    Published 2025-04-01
    “…Also, a survey of residents was carried out to gather information about the history and medicinal properties of the investigated springs. The identified spatial patterns of sacred spring distribution within Lviv and Volyn oblasts indicate that their location, concentration, and functioning depend on the characteristics of the surrounding natural environment. …”
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    Spatial-temporal Patterns and Factors of Soil Moisture in the Middle Reaches of the Yellow River under Changing Environments by LIU Bo, HAN Qinggong, ZHANG Jielin, PENG Shouzhang

    Published 2025-02-01
    “…[Methods] The SiB2 model was used to simulate the surface soil moisture (SSM) and root zone soil moisture (RZSM) in the middle reaches of the Yellow River for the years 2000, 2005, 2010, 2015 and 2020, and to analyze their spatial and temporal distribution patterns. The main driving factors were analyzed by combining the GeoDetector, Random Forest, and SHAP, and the contribution of land cover and climate change to the changes of SSM and RZSM was analyzed by using scenario-setting method. …”
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    Cross-User Electromyography Pattern Recognition Based on a Novel Spatial-Temporal Graph Convolutional Network by Mengjuan Xu, Xiang Chen, Yuwen Ruan, Xu Zhang

    Published 2024-01-01
    “…With the goal of promoting the development of myoelectric control technology, this paper focuses on exploring graph neural network (GNN) based robust electromyography (EMG) pattern recognition solutions. Given that high-density surface EMG (HD-sEMG) signal contains rich temporal and spatial information, the multi-view spatial-temporal graph convolutional network (MSTGCN)is adopted as the basic classifier, and a feature extraction convolutional neural network (CNN) module is designed and integrated into MSTGCN to generate a new model called CNN-MSTGCN. …”
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