Order:
Disambiguations
Lin Yu [4]Linlin Yu [1]Lina Yu [1]
  1.  6
    Broad Learning-Based Optimization and Prediction of Questionnaire Survey: Application to Mind Status of College Students.Lin Yu & Shejiao Ding - 2018 - Complexity 2018:1-9.
    No categories
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  2.  89
    OmniSearch: A Semantic Search System Based on the Ontology for MIcroRNA Target Gene Interaction Data.Huang Jingshan, Gutierrez Fernando, J. Strachan Harrison, Dou Dejing, Huang Weili, A. Blake Judith, Barry Smith, Eilbeck Karen, A. Natale Darren & Lin Yu - 2016 - Journal of Biomedical Semantics 7 (1):1.
    In recent years, sequencing technologies have enabled the identification of a wide range of non-coding RNAs (ncRNAs). Unfortunately, annotation and integration of ncRNA data has lagged behind their identification. Given the large quantity of information being obtained in this area, there emerges an urgent need to integrate what is being discovered by a broad range of relevant communities. To this end, the Non-Coding RNA Ontology (NCRO) is being developed to provide a systematically structured and precisely defined controlled vocabulary for the (...)
    Direct download  
     
    Export citation  
     
    Bookmark  
  3. Application Research of Intelligent Classification Technology in Enterprise Data Classification and Gradation System.Lina Yu, Chunwei Wang, Huixian Chang, Sheng Shen, Fang Hou & Yingwei Li - 2020 - Complexity 2020:1-9.
    Classification and gradation system adopts different security protection schemes for different types of data by implementing classification and gradation management of data, which is an important pretechnical means for data security protection and prevention of data leakage. This paper introduces artificial intelligence classification, machine learning, and other means to learn and train enterprise documents according to the characteristics of enterprise sensitive data. The generated training model can intelligently identify and classify file streams, improving work efficiency and accuracy of classification and (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  4.  25
    Ethics and Risks Between Human and Robotic Interaction.Lin Yu & Shejiao Ding - 2019 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 20 (1):134-147.
    Robot is definitely playing important role in human society. Low contact on machine standards is mostly on industrial robot while close contacts are in increasing demand in service robot, etc. The development of robotics with advanced hardware and artificial intelligence provide the possibility with human beings while close contacts raise many new issues on ethics and risks. For interaction, the related technique of perception, cognition and interaction are briefly introduced. For ethics, rules should be given for the robot designers to (...)
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  5. Improving Emotion Regulation Through Real-Time Neurofeedback Training on the Right Dorsolateral Prefrontal Cortex: Evidence From Behavioral and Brain Network Analyses.Linlin Yu, Quanshan Long, Yancheng Tang, Shouhang Yin, Zijun Chen, Chaozhe Zhu & Antao Chen - 2021 - Frontiers in Human Neuroscience 15.
    We investigated if emotion regulation can be improved through self-regulation training on non-emotional brain regions, as well as how to change the brain networks implicated in this process. During the training period, the participants were instructed to up-regulate their right dorsolateral prefrontal cortex activity according to real-time functional near-infrared spectroscopy neurofeedback signals, and there was no emotional element. The results showed that the training significantly increased emotion regulation, resting-state functional connectivity within the emotion regulation network and frontoparietal network, and rsFC (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark  
  6. The Ontology of Biological and Clinical Statistics (OBCS) for Standardized and Reproducible Statistical Analysis.Jie Zheng, Marcelline R. Harris, Anna Maria Masci, Lin Yu, Alfred Hero, Barry Smith & Yongqun He - 2016 - Journal of Biomedical Semantics 7 (53).
    Statistics play a critical role in biological and clinical research. However, most reports of scientific results in the published literature make it difficult for the reader to reproduce the statistical analyses performed in achieving those results because they provide inadequate documentation of the statistical tests and algorithms applied. The Ontology of Biological and Clinical Statistics (OBCS) is put forward here as a step towards solving this problem. Terms in OBCS, including ‘data collection’, ‘data transformation in statistics’, ‘data visualization’, ‘statistical data (...)
    Direct download  
     
    Export citation  
     
    Bookmark