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    Deep Learning–Based Quantitative Evaluation of the Relationship between Damage Evolution and Seismic Capacity of RC Columns 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006:;page 04025087-1
    Author(s): Wen, Yue; Yuan, Dan; Cai, Gaochuang
    Publisher: American Society of Civil Engineers
    Abstract: AbstractGiven the rapid advancement of AI technology, deep learning (DL) is increasingly being utilized to assess the damage of reinforced concrete (RC) elements. This paper adopts DL to discuss the relationship between ...
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    High Throughput Cell-Free Extraction of Plasma by an Integrated Microfluidic Device Combining Inertial Focusing and Membrane 

    Source: Journal of Heat Transfer:;2017:;volume( 139 ):;issue: 005:;page 52404
    Author(s): Zhang, Jun; Yan, Sheng; Yuan, Dan; Alici, Gursel; Nguyen, Nam-Trung; Li, Weihua
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Plasma is a host of numerous analytes such as proteins, metabolites, circulating nucleic acids (CNAs), and pathogens, and it contains massive information about the functioning of the whole body, which is of great importance ...
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    High Throughput Cell-Free Extraction of Plasma by an Integrated Microfluidic Device Combining Inertial Focusing and Membrane 

    Source: Journal of Heat Transfer:;2017:;volume( 139 ):;issue: 005:;page 52404
    Author(s): Zhang, Jun; Yan, Sheng; Yuan, Dan; Alici, Gursel; Nguyen, Nam-Trung; Li, Weihua
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Plasma is a host of numerous analytes such as proteins, metabolites, circulating nucleic acids (CNAs), and pathogens, and it contains massive information about the functioning of the whole body, which is of great importance ...
    Request PDF
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