Publications by authors named "Tianjiao Kong"

Background: Unpredictability is a core but understudied dimension of adversities and has been receiving increasing attention recently. The effects of unpredictability on psychopathology and the underlying neural mechanisms, however, remain unclear. It is also unknown how unpredictability interacts with other dimensions of adversities in predicting brain development and psychopathology of youth.

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Emotion recognition, as a challenging and active research area, has received considerable awareness in recent years. In this study, an attempt was made to extract complex network features from electroencephalogram (EEG) signals for emotion recognition. We proposed a novel method of constructing forward weighted horizontal visibility graphs (FWHVG) and backward weighted horizontal visibility graphs (BWHVG) based on angle measurement.

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Ursolic acid is widely used as an effective anticancer drug for the treatment of various cancers. However, its poor water solubility, short circulation time , and lack of targeting have made it a burden for clinical applications. We report a self-assembled folate-modified pectin nanoparticle for loading ursolic acid (HCPT@F-Pt-PU NPs) and embed the anticancer drug hydroxycamptothecin to achieve synergistic treatment with ursolic acid.

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Synopsis of recent research by authors named "Tianjiao Kong"

  • - Tianjiao Kong's research primarily focuses on innovative approaches to emotion recognition and targeted cancer therapies using advanced nanotechnology.
  • - One of Kong's notable studies involves the development of a new method for emotion recognition based on EEG signals that utilizes forward and backward weighted horizontal visibility graphs to enhance feature extraction.
  • - In another significant work, Kong explores the creation of folic acid-targeted pectin nanoparticles to improve the delivery and efficacy of poorly soluble anticancer drugs like ursolic acid, addressing challenges in cancer treatment.