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- 저자 : Junliang Tao (검색결과 2 건)
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Junliang Tao,Dongxian Zhang,Yonghong Man,Weina Wang,Yongyi Bi,Yongyi Bi 대한독성 유전단백체 학회 2016 Molecular & cellular toxicology Vol.12 No.2
Vascular inflammation is an important hallmark of high-fat-induced atherosclerosis. Oxidized low-density lipoprotein (ox-LDL) is a key initiator of inflammation as it induces inflammatory gene expression in vascular endothelial cells. Sodium ferulate (SF), an active component from Chinese medicine, demonstrated anti-atherosclerotic potency. However, the mechanism is unknown. Here we investigated how SF changed the cellular gene expression profile and restored ox-LDL-triggered inflammation in HUVECs. Gene expression profile, inflammatory gene expression and NF-κB activation were investigated in human umbilical vein endothelial cells (HUVECs) with or without SF (5 μM) treatment after precondition with ox-LDL (50 μg/mL). Ox-LDL treatment increased the production of IL-1β, CCL20, IL-6, IL-8 and CXCL1. SF stimulation modulated the translocation of NF-κB between cytoplasm and nucleus, and alleviated the inflammatory response induced by ox-LDL. Collectively, SF could suppress the expression of inflammatory factors in ox-LDL-stimulated endothelial cells, and transcription factor NF-κB might be involved in such process.
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Xiao Sun,Junliang Tao,Jiale Li,Qingli Dai,Xiong Yu 국제구조공학회 2017 Smart Structures and Systems, An International Jou Vol.20 No.3
The characteristics of boundary layers have significant effects on the aerodynamic forces and vibration of the wind turbine blade. The incorporation of active trailing edge flaps (ATEF) into wind turbine blades has been proven as an effective control approach for alleviation of load and vibration. This paper is aimed at investigating the effects of external trailing edge flaps on the flow pattern and velocity distribution within a boundary layer of a NREL 5MW reference wind turbine, as well as designing a new type of velocity sensors for future validation measurements. An aeroelastic-aerodynamic simulation with FAST-AeroDyn code was conducted on the entire wind turbine structure and the modifications were made on turbine blade sections with ATEF. The results of aeroelastic-aerodynamic simulations were combined with the results of two-dimensional computational fluid dynamic simulations. From these, the velocity profile of the boundary layer as well as the thickness variation with time under the influence of a simplified load case was calculated for four different blade-flap combinations (without flap, with -5°, 0°, and +5° flap). In conjunction with the computational modeling of the characteristics of boundary layers, a bio-inspired hair flow sensor was designed for sensing the boundary flow field surrounding the turbine blades, which ultimately aims to provide real time data to design the control scheme of the flap structure. The sensor element design and performance were analyzed using both theoretical model and finite element method. A prototype sensor element with desired bio-mimicry responses was fabricated and validated, which will be further refined for integration with the turbine blade structures.
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