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  1.  20
    Interval-Valued Intuitionistic Fuzzy Ordered Weighted Cosine Similarity Measure and Its Application in Investment Decision-Making.Donghai Liu, Xiaohong Chen & Dan Peng - 2017 - Complexity:1-11.
    We present the interval-valued intuitionistic fuzzy ordered weighted cosine similarity measure in this paper, which combines the interval-valued intuitionistic fuzzy cosine similarity measure with the generalized ordered weighted averaging operator. The main advantage of the IVIFOWCS measure provides a parameterized family of similarity measures, and the decision maker can use the IVIFOWCS measure to consider a lot of possibilities and select the aggregation operator in accordance with his interests. We have studied some of its main properties and particular cases such (...)
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  2.  25
    Amplitude Differences in High-Frequency fMRI Signals Between Eyes Open and Eyes Closed Resting States.Bin-Ke Yuan, Jue Wang, Yu-Feng Zang & Dong-Qiang Liu - 2014 - Frontiers in Human Neuroscience 8.
  3. Discovering the Capacity of Human Memory.Yingxu Wang, Dong Liu & Ying Wang - 2003 - Brain and Mind 4 (2):189-198.
    Despite the fact that the number of neurons in the human brain has been identified in cognitive and neural sciences, the magnitude of human memory capacity is still unknown. This paper reports the discovery of the memory capacity of the human brain, which is on the order of 10 8432 bits. A cognitive model of the brain is created, which shows that human memory and knowledge are represented by relations, i.e., connections of synapses between neurons, rather than by the neurons (...)
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  4.  2
    Self-Esteem and Problematic Smartphone Use Among Adolescents: A Moderated Mediation Model of Depression and Interpersonal Trust.Chen Li, Dong Liu & Yan Dong - 2019 - Frontiers in Psychology 10.
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  5.  3
    Popularity of the Metaverse: Embodied Social Presence Theory Perspective.Guihua Zhang, Junwei Cao, Dong Liu & Jie Qi - 2022 - Frontiers in Psychology 13.
    With Facebook’s name changing to Meta, the metaverse concept has become popular again. There are many indications that the current fashionableness of the metaverse is not driven by technical factors, rather related to the public hype. To clarify the reasons for the increasing popularity of the concept, this study develops a model based on embodied social presence theory. We surveyed 292 metaverse users, and analyzed the obtained data using partial least squares structural equation modeling. The results show that the main (...)
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  6.  4
    Decoding of Self-Paced Lower-Limb Movement Intention: A Case Study on the Influence Factors.Dong Liu, Weihai Chen, Ricardo Chavarriaga, Zhongcai Pei & José del R. Millán - 2017 - Frontiers in Human Neuroscience 11.
  7.  41
    1-Hz Repetitive Transcranial Magnetic Stimulation Over the Posterior Parietal Cortex Modulates Spatial Attention.Guang-Qing Xu, Yue Lan, Qun Zhang, Dong-xu Liu, Xiao-fei He & Tuo Lin - 2016 - Frontiers in Human Neuroscience 10.
  8.  20
    Links Between the Amplitude Modulation of Low-Frequency Spontaneous Fluctuation Across Resting State Conditions and Thalamic Functional Connectivity.Shufang Qian, Xinbo Wang, Xiujuan Qu, Peiwen Zhang, Qiuyue Li, Ruidi Wang & Dong-Qiang Liu - 2019 - Frontiers in Human Neuroscience 13.
  9. Dang Dai Zhongguo Si Xiang Wen Hua Pi Pan.Dongchao Liu - 2008 - Hebei da Xue Chu Ban She.
     
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  10. Sheng Ming De Ceng Ji: Feng Youlan Ren Sheng Jing Jie Shuo Yan Jiu.Dongchao Liu - 2002 - Ba Shu Shu She.
     
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  11. Zhongguo Dang Dai Ru Xue Pi Pan =.Dongchao Liu - 2008 - She Hui Ke Xue Wen Xian Chu Ban She.
     
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  12. Psychic Income Associated With Shanghai Tennis Masters and Residents’ Attitude.Fengyun Zhang, Dongfeng Liu, Daniel Plumley & Mengyan Chai - 2022 - Frontiers in Psychology 12.
    Using Shanghai Tennis Masters as an example, this study seeks to explore the psychic income associated with major sports events hosting and whether the psychic income would predict the attitudes of local residents toward events hosting. In addition, the moderating effect of sport involvement on the relationship between psychic income and attitude is also tested. In this study, a questionnaire survey is adopted. The structured questionnaire was developed based on 4 parts, including the demographics of the residents, involvement in the (...)
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  13.  3
    The Multilevel Study on the Impact of High-Performance Human Resource Practices on Employees’ Voice Behavior: A Moderated Mediation Model.Yuanyuan Liu, Dongxu Liu, Hui Du, Shuzhen Liu & Xiaoxue Zhou - 2022 - Frontiers in Psychology 13.
    Based on the social identity theory, the relationship and influencing mechanism between high-performance human resource practices and employees’ voice behavior were explored by constructing a moderated mediation model, and the relationship between the field of human resources and the field of organizational behavior was also established. Through 1,178 paired samples of supervisor-employee survey and multilevel linear model analysis technology, it was found that HPHRPs had a positive impact on employees’ voice behavior; perceived insider status played a mediating role between HPHRPs (...)
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  14.  21
    The Intuitionistic Fuzzy Linguistic Cosine Similarity Measure and Its Application in Pattern Recognition.Donghai Liu, Xiaohong Chen & Dan Peng - 2018 - Complexity 2018:1-11.
    We propose the cosine similarity measures for intuitionistic fuzzy linguistic sets and interval-valued intuitionistic fuzzy linguistic sets, which are expressed by the linguistic scale function based on the cosine function. Then, the weighted cosine similarity measure and the ordered weighted cosine similarity measure for IFLSs and IVIFLSs are introduced by taking into account the importance of each element, and the properties of the cosine similarity measures are also given. The main advantage of the proposed cosine similarity measures is that the (...)
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  15.  9
    Influences of Head Motion Regression on High-Frequency Oscillation Amplitudes of Resting-State fMRI Signals.Bin-Ke Yuan, Yu-Feng Zang & Dong-Qiang Liu - 2016 - Frontiers in Human Neuroscience 10.
  16.  1
    Semisupervised Community Preserving Network Embedding with Pairwise Constraints.Dong Liu, Yan Ru, Qinpeng Li, Shibin Wang & Jianwei Niu - 2020 - Complexity 2020:1-14.
    Network embedding aims to learn the low-dimensional representations of nodes in networks. It preserves the structure and internal attributes of the networks while representing nodes as low-dimensional dense real-valued vectors. These vectors are used as inputs of machine learning algorithms for network analysis tasks such as node clustering, classification, link prediction, and network visualization. The network embedding algorithms, which considered the community structure, impose a higher level of constraint on the similarity of nodes, and they make the learned node embedding (...)
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