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Endothelial Aquaporin-1 (AQP1) Expression Is Regulated by Transcription Factor Mef2c
Yong Jiang,He Liu,Wen-jing Liu,Hai-bin Tong,Chang-jun Chen,Fu-gui Lin,Yan-hang Zhuo,Xiao-zhen Qian,Zeng-bin Wang,Yu Wang,Peng Zhang,Hong-liang Jia 한국분자세포생물학회 2016 Molecules and cells Vol.39 No.4
Aquaporin 1 (AQP1) is expressed in most microvascula-ture endothelial cells and forms water channels that play major roles in a variety of physiologic processes. This study aimed to delineate the transcriptional regulation of AQP1 by Mef2c in endothelial cells. Mef2c cooperated with Sp1 to activate human AQP1 transcription by binding to its proximal promoter in human umbilical cord vein endothelial cells (HUVEC). Over-expression of Mef2c, Sp1, or Mef2c/Sp1 increased HUVEC migration and tube-forming ability, which can be abolished AQP1 knockdown. These data indicate that AQP1 is a direct target of Mef2c in regulating angiogenesis and vasculogenesis of endothelial cells.
Yong Jiang,Keiko Ideta,김잔디,Jin Miyawaki,정두환,윤성호,Isao Mochida 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.22 No.-
The crystalline and microstructural transformations of two laboratory ashes and their quenched slags(froma gasifier) with similar chemical compositions (one with high silicon dioxide (SiO2) concentrationsand the other with high aluminum oxide (Al2O3) concentrations)were systematically characterized usingX-ray diffraction, multinuclear solid-state nuclear magnetic resonance, and a high-temperatureviscometer. The results show that the content of SiO2 and Al2O3 in ash has significant influence onthe crystal types and size of cristobalite clusters in the liquid slag during heat treatment. Consequently,the formed cristobalite clusterswas the crucial to the viscosities and rheological properties of liquid slags.
Yong Jiang,윤성호,Xiongchao Lin,Keiko Ideta,Hiromichi Takebe,Jin Miyawaki,Isao Mochida 한국공업화학회 2014 Journal of Industrial and Engineering Chemistry Vol.20 No.4
The transformation of the Si-Al microstructures of slags, which have similar SiO2 + Al2O3 and CaO contents but different SiO2/Al2O3 ratios, was quantified using multinuclear SS-NMR. Three kinds of Si Qn microstructures (Q2, Q3, and Q4), where n denotes the number of bridging oxygen linked to other Si atoms for each Q (SiO4) unit, and one Al structure (Al (IV)) were present in both slags. The Q3 percentage in two slags was increased as increase of temperature from 1200 to 1600 8C. The transformation of Si-Al microstructures was interpreted by a hypothetic model of cristobalite cluster based on the crystal and Qn structure.
Yongjiang Bai,Wenjie Chen,Xiaoyu Yang,Xu Yang 전력전자학회 2017 JOURNAL OF POWER ELECTRONICS Vol.17 No.6
Primary-side regulation (PSR) scheme is widely applied in low power applications, such as cell phone chargers, network adapters, and LED drivers. However, the efficiency and standby power requirements have been improved to a high standard due to the new trends of DOE (Department Of Energy) Level VI and COC (Code Of Conduct specifications) V5. The major drawbacks of PSR include poor regulation due to inaccurate feedback and difficulty in acquiring acceptable regulation. A novel adaptive blanking strategy for constant current and constant voltage regulation is proposed in this paper. An accurate model for the sample blanking time related to transformer leakage inductance and the metal-oxide-semiconductor field-effect transistor (MOSFET) parasitic capacitance is established. The proposed strategy can achieve accurate detection for ultra-low standby power. In addition, numerous control factors are analyzed in detail to eliminate the influence of leakage inductance on the loop stability. A dedicated controller integrated circuit (IC) with a power MOSFET is fabricated to verify the effectiveness of the proposed control strategy. Experimental results demonstrated that the prototype based on the proposed IC has excellent performance.
YongJiang Chen,Jianghai Zhao,Chuangfan Yuan,Jingkai Sun 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.4
An analysis model of the contact characteristics of the double-nut preloaded ball screw which can consider the combined action of the axial load and the overturning moment is established, the model can consider non-uniform load distribution, and the validity of the model is verified by experiments. Based on this model, the influence of the combined action of axial load and overturning moment on the average value and distribution fluctuation value of the contact angle of the ball screw, the number of unloaded balls, the distribution fluctuation value of the contact load, and the static contact stiffness and other contact parameters are systematically analyzed, and get the following conclusions: The contact parameters of the ball screw are mainly affected by the axial load and the contact state between the ball and the raceway. The gradually increasing axial load basically reduces the influence of the overturning moment on the contact parameters of the ball screw. There is a critical value of the load in the axial direction within the range of the action value of the preload load. Only when the critical value is above the critical value, the contact parameters will change regularly with the changes in the axial stiffness and overturning moment. However, different critical values for the regular variation of contact parameters with axial load and overturning moment vary.
Subnormality of $S_{2}(a,b,c,d)$ and its Berger measure
Yongjiang Duan,Jiaqi Ni 대한수학회 2016 대한수학회보 Vol.53 No.3
We introduce a 2-variable weighted shift, denoted by $S_2(a,b$, $c,d)$, which arises naturally from analytic function space theory. We investigate when it is subnormal, and compute the Berger measure of it when it is subnormal. And we apply the results to investigate the relationship among 2-variable subnormal, hyponormal and 2-hyponormal weighted shifts.
Real-Time Demand Response Management for Controlling Load using Deep Reinforcement Learning
YONGJIANG ZHAO,SENFENG CEN,SEUNG JE SEONG,IBRAHIM ALIYU,CHANG GYOON LIM 한국콘텐츠학회 2021 한국콘텐츠학회 ICCC 논문집 Vol.2021 No.12
With the rapid economic growth and the improvement of living standards, electricity has become an indispensable energy source in our lives. Therefore, the stability of the grid power supply and the conservation of electricity are very important. Controlling load as an important part of incentive demand response (DR), it can achieve a rapid response and improve demand side resilience. Controlling load by manually formulating rules, some devices can be selectively turn off during peak power consumption. It reduces the cost of manual operation while reducing the peak value. However, it is difficult to optimize methods based on manual rules. In this paper, Soft Actor-Critic (SAC) is used as a control algorithm to optimize the control strategy. In order to focus on the optimization of the algorithm, the dataset in this paper is based on CityLearn. The results show that through the coordination of SAC to control load, realizes the goal of reducing both the peak load demand of power and the operation costs on the premise of regulating voltage to the safe limit.