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		题名	作者	年代	出处	被引量
	1	Nanoparticle-filled capillary electrophoresis for the separation of long DNA molecules in the presence of hydrodynamic and electrokinetic forces 显示文摘	TSENG W L HUANG Mingfeng HUANG Yufen	2005	Electrophoresis2005，26，16：	1
	2	Separation of dsDNA in the presence of electroosmotic flowunder discontinuous conditions显示文摘	HUANG Mingfeng HSU C E TSENG W L	2001	Electrophoresis2001，22，：	1
	3	Comparative analysis of actuator concepts for active gear pair vibration control 显示文摘	Yuan H G Mingfeng L Teik C L	2004	Joumal of Sound and Vibration2004，269，12：	1
	4	Effects of PPAR-y agonist treatment on lps-induced mastiffs in rats 显示文摘	MINGFENG D XIAODONG M YUE L	2014	Inflammation2014，37，6：	1
	5	Effects of PPAR-γagonist treatment on LPS-induced mastitis in rats显示文摘	Mingfeng D Xiaodong M Yue L	2014	Inflammation2014，37，6：	1
	6	Calculation of the surrounding rock pressure on a shallow buried tunnel using linear and nonlinear failure criteria显示文摘	MINGFENG L LIMIN P CHENGHUA S	2014	Automation in Construction2014，37，：	1
	7	Hydrodearomatization Kinetics of Diesel Fraction and Catalyst Stacking Simulation显示文摘The kinetics of hydrodearomatization (HDA) is studied in an isothermal high-throughput reactor over three catalysts (CoMo, NiMo, and NiMoW) to produce clean diesel fuel according to China’s latest emission standards. The influences of reaction temperature, pressure, the ratio of H2 to oil, and space time were systematically investigated. By analyzing the reaction mechanism, a four-lump kinetic model considering the influence of competitive adsorption was proposed for the hydrodearomatization reaction, and the model parameters were optimized with good fitting. It was found that nitrogen compounds inhibited the hydrodearomatization reaction. The simulation of various catalyst stacking schemes based on the HDA kinetic model is close to the experimental data, proving the reliability of the model. The concentration of aromatic compounds of different loading sequences was predicted with the catalyst gradation model.	Wei Ye Sun Xinge LüHailong Jiang Hongbo Chen Wenbin Qin Kang Li Mingfeng Nie Hong	2022	China Petroleum Processing & Petrochemical Technology2022，24，3：	0

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