- Thursday, 11 June 2015 05:22
Two HKBU scholars received a first-class award and second-class award for their collaborative projects on natural science at the Higher Education Outstanding Scientific Research Output Awards 2014 (Science and Technology) from the Ministry of Education.
“Network-based modulatory mechanism of the holistic therapy of traditional Chinese medicine” conducted by Dr Patrick Yue Ying-kit, Lecturer of the Department of Biology of HKBU, in collaboration with Professor Liu Liang, Professor Jiang Zhihong, Dr Wong Kam-wai, Wang Jinrong, Dr Leung Lai-han, Dr Zhou Hua and Dr Li Ting from Macau University of Science and Technology won the first-class award.
The second-class award-winning project is “Empirical likelihood in nonparametric and semiparametrical models” conducted by Dr Zhu Lixing, Chair Professor of the Department of Mathematics of HKBU, in collaboration with Professor Xue Liugen from the College of Applied Sciences of Beijing University of Technology, China.
Dr Patrick Yue’s research focuses on the biomedical and pharmacological activities of herbal materials. He said, “In HKBU, we have spent more than 10 years studying the active constituents of Chinese medicine and many natural compounds for angiomodulation (regulation of new blood vessel formation) and different gene expressions through regulating certain microRNAs. The collaboration with Macau University of Science and Technology has been focusing on the characteristics of traditional Chinese medicine and its modulatory curing properties. The findings provide scientific data and theories for clinical treatment by Chinese medicine, and enhance the quality control standard of Chinese medicine.”
Dr Yue expressed his gratitude to Professor Ricky Wong for his guidance. Dr Yue has been working with Professor Wong and his team for more than 10 years examining the effects of active constituents of Chinese medicine on human beings from the scientific perspective. This has enabled him to go further into the study of Chinese medicine, and more importantly, it has opened up the opportunity to take part in this award-winning project.
In the project conducted by Dr Zhu Lixing, the team investigated statistical inference for the parameter of interest when the models contain infinite-dimensional nuisance parameters. The findings suggested a bias-correction method to reduce the bias brought by estimating the nuisance parameter. This method created a breakthrough in the field. He wrote an review article in an academic journal and such article is one of the three review articles in this field so far.