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RISS 인기검색어
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- 저자 : Feng Zhongnan (검색결과 3 건)
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Yuanyuan Chen,Zhongnan Li,Xue Bai,Yanmin Feng,Lin Feng,Deyuan Zhang,Huawei Chen,Haosheng Chen 한국바이오칩학회 2021 BioChip Journal Vol.15 No.1
Because of the rapid development of precision medicine, single-cell analysis has attracted increasing research attention, especially for erythrocyte, whose potential role in the formation of vascular plaque (atherosclerosis) has emphasized the importance of flow characteristics of single erythrocytes in bionic microfluidics. Based on the high incidence of vascular plaques among the elderly and those who have received blood transfusions, we hypothesized that cell membrane hardening changes the fluid adaptability of individual erythrocytes. This hypothesis was verified using an in vitro microfluidic technique based on an analysis of the flow morphology and cell trajectory of individual cells. A symmetrical microchannel was fabricated with a central stenosis to simulate a blood vessel containing plaque. During flowing through this microchannel, normal erythrocyte predominantly exhibited deforming, rotating, and lifting morphologies, resulting in discontinuous contact with the channel wall and a narrower distribution. Conversely, hardened erythrocytes exhibited rolling, swinging, and tumbling morphologies, resulting in stable and continuous contact with the channel wall and a wider distribution. These results indicate that cell membrane hardening decrease cell fluid adaptability on a microscopic scale. This research can offer some new insights into vascular plaques research from a bio-tribological and mechanical perspectives.
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Jingyuan Cao,Fei Wang,Shuai Liang,Xue Tong,Zhongnan Zhang,Jian Feng,Haifeng Wang,Xingmao Jiang 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2017 NANO Vol.12 No.10
Nickel nanoparticles embedded in mesoporous silica (Ni/SiO2) were successfully synthesized by microwave-assisted in situ self-assembly method using colloidal silica, urea and nickel nitrate as precursors and glucose as carbon template, which resulted in mesoporous structure of silica through removal of template. Ni nanoparticles were uniformly well-dispersed within mesoporous silica, which were 3.5–4.0nm in diameter and had a very narrow particle size distribution. In addition, particle size of Ni nanoparticles can be controllably adjusted by microwave power. As prepared Ni/SiO2 catalyst exhibited better catalytic activity for reduction of 4-nitrophenol (4-NP) to 4-aminophenol (4-AP) than Ni/SiO2-IM catalyst, which was mainly attributed to confinement effect of mesoporous silica support. This simple and versatile method can also be extended to cover many kinds of other supported catalysts for broad applications in many other catalytic reactions in the future.
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Fast Supplementary Voltage Control Strategy to Mitigate Catastrophic Trip-off Risk of Wind Turbines
Yin Lifu,Liu Yongcheng,Wang Zhuxiu,Xu Ang,Li Zhengtian,Lin Xiangning,Feng Zhongnan,Zhuo Yixin 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.6
There exists such a risk that Magnetic Control Reactor (MCR) type Static Var Compensator (SVC), which is widely used in wind farms, still outputs excessive reactive power after fault removal in the wind farm due to the slow regulating speed of MCR, leading to catastrophic trip-off problem of wind turbine. For the purpose of overcoming the shortage of MCR-type SVC on regulating speed and eff ectively controlling the transient over-voltage level of wind farm due to fault removal, an novel fast supplementary voltage control strategy for MCR-type SVC based on decision tree algorithm is proposed. The over-voltage level and trip-off risk of each wind turbine after fault removal is predicted by the proposed dynamic voltage security decision tree system. According to the predictions, appropriate capacitor banks are shed to lower the risk of wind turbine trip-off due to overvoltage, resulting from reactive power over-compensation. It can be proven with case studies that the proposed strategy is capable of reducing the risk of over-voltage in wind farms, accompanied by the excellent computational effi ciency.
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