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Lian Duan [4]Lijuan Duan [1]Lianghua Duan [1]Li Duan [1]
  1.  13
    Machine Learning Approaches for MDD Detection and Emotion Decoding Using EEG Signals.Lijuan Duan, Huifeng Duan, Yuanhua Qiao, Sha Sha, Shunai Qi, Xiaolong Zhang, Juan Huang, Xiaohan Huang & Changming Wang - 2020 - Frontiers in Human Neuroscience 14.
  2.  6
    "Shi su shi dai" de yi yi tan xun: wu si qi meng si xiang zhong de xin dao de guan yan jiu.Lian Duan - 2015 - Shanghai: Shanghai ren min chu ban she.
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  3.  29
    The Aesthetics of Inscape: Teaching Chinese Art with Barthesian Semiotic Theory.Lian Duan - 2019 - Journal of Aesthetic Education 53 (1):78-96.
    As a general concept, aesthetic education and art education are connected; to a certain extent, the two can be taken as one or two sides of the same coin. However, the specific questions involved are how they are connected and how to connect them in teaching practice. To answer these questions, I define aesthetic education as more general and theoretical and define art education as less general and more practical, that is, teaching students to read art works. Exploring the answers (...)
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  4.  29
    The Peircean order of signification and its encoding system in Chinese landscape painting.Lian Duan - 2018 - Semiotica 2018 (221):199-218.
    Name der Zeitschrift: Semiotica Jahrgang: 2018 Heft: 221 Seiten: 199-218.
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  5.  11
    Using Functional Near-Infrared Spectroscopy to Assess Brain Activation Evoked by Guilt and Shame.Lian Duan, Qiudi Feng & Pengfei Xu - 2020 - Frontiers in Human Neuroscience 14.
  6.  7
    Financial Risk Information Spreading on Metapopulation Networks.Min Lin & Li Duan - 2021 - Complexity 2021:1-7.
    The financial risk information diffuses through various kinds of social networks, such as Twitter and Facebook. Individuals transmit the financial risk information which can migrate among different platforms or forums. In this paper, we propose a financial risk information spreading model on metapopulation networks. The subpopulation represents a platform or forum, and individuals migrate among them to transmit the information. We use a discrete-time Markov chain approach to describe the spreading dynamics’ evolution and deduce the outbreak threshold point. We perform (...)
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