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- 저자 : Yuqian Hu (검색결과 2 건)
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Yuqian Hu,Linlin Zheng,Jinhui Zhang,Lijuan Lin,Yue Shen,Xiaoyan Zhang,Buling Wu 한국응용생명화학회 2019 Applied Biological Chemistry (Appl Biol Chem) Vol.62 No.5
Background: In bone tissue engineering, the fabrication and biocompatibility of scaffold are crucial. Among many scaffold materials, nanohydroxyapatite (nHAP) and collagen (COL) are chosen as building materials of scaffold. At the same time, growth factors were also used to modify the scaffolds. Methods: In this study, blending and freeze drying methods were adopted together in order to build basic fibroblast growth factor (bFGF)-bone morphogenetic protein-2 (BMP-2)-nHAP/COL scaffolds. ELISA was applied to test the release of bFGF and BMP-2 on the scaffold. The flow cytometry was used to identify bone marrow mesenchymal stem cells (BMSCs). Scanning electron microscope was adopted to observe scaffolds and cells morphology. BMSCs were seeded on the scaffolds to test the biological compatibility in vitro. Cells were counted to detect early cell adhesion. Cell counting kit-8 assay was adopted to detect cell proliferation and alkalinephosphatase assay was applied to detect cell activity. Results: The characterization of bFGF-BMP-2-nHAP/COL scaffolds meets the requirements of ideal bone tissue engineering scaffolds. BMSCs that were isolated, purified and passaged satisfied the needs of further experiments. The growth status of cells on bFGF-BMP-2-nHAP/COL scaffolds was satisfactory. Cell adhesion was the highest in the bFGF-BMP-2-nHAP/COL scaffolds group. The cell viability and ALP activity of bFGF-BMP-2-nHAP/COL scaffolds group were the highest. Conclusion: Taken together, bFGF-BMP-2-nHAP/COL scaffolds have good biocompatibility in vitro and promote adhesion, proliferation, differentiation of BMSCs.
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Decision Making Based on Data Mining for Traditional Sports Personnel Training Scheme
Hu Xiaoyong,Yin Yujia,Wang Yuqian,Kang Le 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.8
The percent of examinees’ first applications for a university can reflect the scientific research level of this university, so various universities start to research how to improve the percent of examinees’ first applications under the condition of not influencing the enrollment quality. For such research, C4.5 decision tree algorithm is applied to the postgraduate enrollment of a certain university. Specifically, examinees’ information is processed to select decision attributes and establish the decision tree so as to obtain the relation among examinees’ first applications, native place information, total points of initial examination and category of graduation universities from the rules extracted thereby. The mining result shows that this algorithm can correctly classify the graduation universities and assist the enrolling personnel to more effectively stipulate the enrollment guide for the targeted enrollment propaganda, thus to improve the percent of examinees’ first applications.
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