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    Correcting forest aboveground biomass biases by incorporating independent canopy height retrieval with conventional machine learning models using GEDI and ICESat-2 data by Biao Zhang, Zhichao Wang, Tiantian Ma, Zhihao Wang, Hao Li, Wenxu Ji, Mingyang He, Ao Jiao, Zhongke Feng

    Published 2025-05-01
    “…To obtain CH data, this study utilized three spaceborne LiDAR datasets: ICESat-2 ATL08, ICESat-2 ATL03/ATL08 fusion data, and GEDI-L2A. …”
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    An Innovative Method to Identify Autoantigens Expressed on the Endothelial Cell Surface: Serological Identification System for Autoantigens Using a Retroviral Vector and Flow Cytom... by Tsuyoshi Shirai, Hiroshi Fujii, Masao Ono, Ryu Watanabe, Tomonori Ishii, Hideo Harigae

    Published 2013-01-01
    “…Autoantibodies against integral membrane proteins are usually pathogenic. Although anti-endothelial cell antibodies (AECAs) are considered to be critical, especially for vascular lesions in collagen diseases, most molecules identified as autoantigens for AECAs are localized within the cell and not expressed on the cell surface. …”
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    A New Method for Fault Detection and Location in a Low-Resistance Grounded Power Distribution Network Using Voltage Phasor of D-PMUs Data by Masoud Najafzadeh, Jaber Pouladi, Ali Daghigh, Jamal Beiza, Sima Shahmohamadi

    Published 2023-01-01
    “…In the first technique, the genetic optimization algorithms and particle swarm optimization for nonlinear modeling of fault position along the distribution line have been utilized for different single-phase, two-phase, and three-phase faults, and in the second technique, neural fuzzy network training has been proposed by different phasor measurement devices. …”
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