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Zhuo Liu [5]Zhuo-Hong Liu [1]Zhuozhuo Liu [1]Zhuo-Hao Liu [1]
  1.  35
    Self-construal priming selectively modulates the scope of visual attention.Zhuozhuo Liu, Menxue Cheng, Kaiping Peng & Dan Zhang - 2015 - Frontiers in Psychology 6.
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  2.  88
    Indirect Targeting of Subthalamic Deep Brain Stimulation Guided by Stereotactic Computed Tomography and Microelectrode Recordings in Patients With Parkinson’s Disease.Po-Hsun Tu, Zhuo-Hao Liu, Chiung Chu Chen, Wey Yil Lin, Amy L. Bowes, Chin Song Lu & Shih-Tseng Lee - 2018 - Frontiers in Human Neuroscience 12.
  3.  7
    Zhongguo shen mi wen hua jian shang da quan: shen gui, ming li, feng shui, gu xiang.Ying Cao & Zhuo Liu (eds.) - 1998 - Beijing: Jin cheng chu ban she.
    本书内容包括什么是法社会学、多元化的法概念、社会·法律·法律文化、法与社会制度、法与社会发展、法与社会分层、法与社会问题、法与社会控制、法与社会化、法律职业、法的实现等11章。.
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  4.  5
    Fa yu she hui lun: yi fa she hui xue de shi jiao = Fa yu shehuilun: yi fa shehuixue de shijiao.Zhuo Liu - 2003 - Wuhan: Wuhan chu ban she.
    本书内容包括什么是法社会学、多元化的法概念、社会·法律·法律文化、法与社会制度、法与社会发展、法与社会分层、法与社会问题、法与社会控制、法与社会化、法律职业、法的实现等11章。.
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  5.  19
    Performance of the 2D Coupled Map Lattice Model and Its Application in Image Encryption.Zhuo Liu, Jin Yuan Liu, Leo Yu Zhang, Yong Zhao & Xiao Feng Gong - 2022 - Complexity 2022:1-18.
    The two-dimensional coupled map lattice model has been extensively employed as the basis component for designing various schemes in the cryptography system due to its complicated chaotic dynamic behavior. In this study, we analyze the chaotic characteristics of the 2D CML model, such as the Lyapunov exponent, synchronization stability, bifurcation, and ergodicity. We then show that the chaotic sequences generated by the 2D CML model are random according to the NIST testing. Furthermore, we propose an image encryption scheme based on (...)
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  6.  16
    Containing Epidemic Spreading on Networks with Neighbor Resource Supporting.Chengcheng Song, Yanyan Chen, Ning Chen, Zhuo Liu, Xuzhen Zhu & Wei Wang - 2020 - Complexity 2020:1-13.
    Previous studies revealed that the susceptibility, contacting preference, and recovery probability markedly alter the epidemic outbreak size and threshold. The recovery probability of an infected node is closely related to its obtained resources. How to allocate limited resources to infected neighbors is extremely important for containing the epidemic spreading on complex networks. In this paper, we proposed an epidemic spreading model on complex networks, in which we assume that the node has heterogeneous susceptibility and contacting preference, and susceptible nodes are (...)
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