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RISS 인기검색어
- 검색키워드
- 저자 : Yanbo Hui (검색결과 6 건)
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The role and mechanism of lncRNA NEAT1 in the fibrosis of pulmonary epithelial cell
Hui Xu,YanBo Chen,Jinqiang Zhuang,Shun Zhu,Bing Xu,Jiang Hong 대한독성 유전단백체 학회 2020 Molecular & cellular toxicology Vol.16 No.2
Background Pulmonary fibrosis is a serious clinical fatal disease. Epithelial–mesenchymal transition (EMT) and lncRNA NEAT1 have been implied in its development and progression. Objective To study the role of lncRNA NEAT1 in the progression of fibrosis in human pulmonary epithelial cells (BEAS- 2B). Specifically, BEAS-2B was transfected with NEAT1 and miR-29c, EMT and cell proliferation were measured and the expression level of relevant genes was determined by Western blot. Result Results showed that NEAT1 promotes fibrosis and proliferation of BEAS-2B cells via the up-regulation of α-SMA, Vimentin, Snail and proliferation-related genes including Cyclin D1 and Cyclin E; miR-29c is a target gene of NEAT1 and through which NEAT1 regulates EMT and expression of proliferation-related genes. Conclusion This study investigated the mechanism of pulmonary fibrosis progression by elucidating the role of NEAT1/ miR-29c in the fibrosis and proliferation of BEAS-2B cells, thus providing a basis for the new therapeutic targets of pulmonary fibrosis.
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Microstructure and mechanical properties of 2060-T8 Al-Li alloy after warm incremental forming
Hui Wang,Yanbo Gu,Xunzhong Guo,Huiting Wang,Jie Tao,Yong Xu 대한기계학회 2018 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.32 No.10
This study was aimed in the mechanical properties exploration of warm incremental forming of a newly developed 2060 aluminumlithium (Al-Li) alloy. One method of oil heating was utilized in this article. Following the tensile and hardness tests of the components, it could be obtained that the tensile strength and hardness of the incremental forming component decreased with increasing the temperature and increased with increasing the feed rate. Meanwhile, the tensile strength and hardness of the component manufactured at 120 °C and 160 °C were higher than the base material, due to strain hardening. Dynamic recovery existed in the component manufactured at 200 °C and dynamic recrystallization existed in the component manufactured at 240 °C. Also, the results were in a good agreement with the optical micrograph microstructure and the tensile fracture morphology. The tensile fracture mechanism of the component manufactured at 120 °C was mainly brittle fracture. In contrast, the tensile fracture mechanism of the component manufactured at 200 °C and 240 °C was ductile fracture. In addition, the accurate prediction models of the component mechanical properties with different forming temperatures and feed rate were obtained through response surface analysis.
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Hui Wang,Yuanhao Guan,Shaozheng Hu,Yanbo Pei,Wentao Ma,Zhiping Fan 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2019 NANO Vol.14 No.2
Here, band gap-tunable oxygen-doped graphitic carbon nitride (g-C3N4) with outstanding “two-channel” photocatalytic H2O2 production ability was prepared via hydrothermal treatment assisted by dissolution–precipitation process. XRD, N2 adsorption, UV–Vis, Fourier-transform infrared spectra, SEM, electrochemical impedance spectra, XPS and photoluminescence were used to characterize the obtained catalysts. The photocatalytic H2O2 production ability of as-prepared catalyst was investigated. The results show that oxygen doping not only changes the morphology of catalyst, decreases the band gap energy and promotes the separation efficiency of photogenerated electrons and holes, but also tunes the CB and VB potentials. As-prepared oxygen-doped g-C3N4 displays a H2O2 concentration of 3.8 mmol L -1, more than 7.6 times higher than that of neat g-C3N4. Because of the shift of CB and VB potentials, not only the CB electrons of oxygen-doped g-C3N4 reduce O2 to form H2O2, but also the VB holes can oxidize OH- to form OH, which subsequently react with each other to form H2O2. Such “two-channel pathway” causes the remarkably promoted H2O2 production ability.
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The Storage Grain and Environment Modeling Based on TS-PLS
Lan Wu,Yanbo Hui,Mingyue Li 보안공학연구지원센터 2016 International Journal of Smart Home Vol.10 No.1
Food security is a strategic cornerstone of national security, and the food safety storage is a recognized problem. Accurate representation of grain storage environment is a fundamental premise for secure storage, which is very difficult because of the complex linkage relation between stored grain and grain storage environment. The characteristics between grain and environment, such as large time lag, two-way coupling, nonlinear, time-varying, make analysis and modeling face more difficulties and challenges. Based on this, combining PLS and TS fuzzy model, a modeling method of dynamic nonlinear multi-input multi-output (MIMO) system is proposed in this paper, which effectively solves the problem of strong nonlinear and correlation, at the same time reduces the computational complexity of data modeling methods. The simulation results show that this modeling could effectively describe the relationship between storage grain and environment.
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The Fuzzy Prediction Control Methods of Crop Growth Process
Lan Wu,Zhongqin Li,Yanbo Hui 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.5
Today the huge demand for high-quality crops allowed the research on the improvement of crop quality and cultivation techniques to give increasing attention. Through effective variety selection and optimal control of the growth process, maintaining the long-term best growth environment is an important means to improve crop quality and yield. Due to the quality of the wheat crop ecological variability and complexity of the formation process, the effective forecasting and management under different conditions of wheat growth process becomes quite difficult. Aiming to the characteristics, such as nonlinear, time-varying, strong correlation, time-delay and more uncertainty, between the crop quality and various influencing factors, a modeling method of nonlinear dynamic multi-input multi-output system based on PLS and TS model is proposed. On this basis, a Generalized Predictive Controller (GPC) under implicit variable space is designed, which is provide a scientific basis for the realization of effective crop forecasting and control, to increase production, improve quality , regulating the growth cycle and increase economic efficiency purposes. The test results show that this method can effectively track the signal and meet the system demand.
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