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- 저자 : Wenjie Pang (검색결과 4 건)
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A Potential Role of ppGalNAc-T13 in Neural Differentiation
Yingjiao Xu,Wenjie Pang,Aidong Shan,Wei Li,Yan Zha 한국당과학회 2012 한국당과학회 학술대회 Vol.2012 No.1
Glycosylation in the nervous system is thought to play a particularly important and dynamic role in both vertebrates and invertebrates. Mucin-type O-glycosylation is initiated by a large family of UDP- GalNAc:polypeptideα-N-acetylgalactosaminyltransferases (ppGalNAc-Ts, EC 2.4.1.41) which contains 20 members. ppGalNAc-T13 is one of the essential isoform, and has been found highly and restrictively expressed in the brain and neurons [1]. In this study, we found that the mRNA and protein expression of ppGalNAc-T13 was dramatically increasing during the all-trans retinoic acid (ATRA) induced neural differentiation of embryonic carcinoma P19 cells, mouse brain development and primary neuronal cultures. ppGalNAc-T13 was localized in axons of the neurons derived from P19 cells and the O-glycosylation level was simultaneously increased during the ATRA induced neural differentiation. Furthermore, up-regulation of ppGalNAc-T13 induced the formation of lamellipodia and a higher O-glycosylation level. These results imply that the high expression of ppGalNAc-T13 in neurons may play a regulatory role in the neural differentiation. Study to explore the roles of ppGalNAc-T13 in regulating neural differentiation is under way.
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Wind Power Interval Prediction Based on Improved PSO and BP Neural Network
Jidong Wang,Kaijie Fang,Wenjie Pang,Jiawen Sun 대한전기학회 2017 Journal of Electrical Engineering & Technology Vol.12 No.3
As is known to all that the output of wind power generation has a character of randomness and volatility because of the influence of natural environment conditions. At present, the research of wind power prediction mainly focuses on point forecasting, which can hardly describe its uncertainty, leading to the fact that its application in practice is low. In this paper, a wind power range prediction model based on the multiple output property of BP neural network is built, and the optimization criterion considering the information of predicted intervals is proposed. Then, improved Particle Swarm Optimization (PSO) algorithm is used to optimize the model. The simulation results of a practical example show that the proposed wind power range prediction model can effectively forecast the output power interval, and provide power grid dispatcher with decision.
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Wind Power Interval Prediction Based on Improved PSO and BP Neural Network
Wang, Jidong,Fang, Kaijie,Pang, Wenjie,Sun, Jiawen The Korean Institute of Electrical Engineers 2017 Journal of Electrical Engineering & Technology Vol.12 No.3
As is known to all that the output of wind power generation has a character of randomness and volatility because of the influence of natural environment conditions. At present, the research of wind power prediction mainly focuses on point forecasting, which can hardly describe its uncertainty, leading to the fact that its application in practice is low. In this paper, a wind power range prediction model based on the multiple output property of BP neural network is built, and the optimization criterion considering the information of predicted intervals is proposed. Then, improved Particle Swarm Optimization (PSO) algorithm is used to optimize the model. The simulation results of a practical example show that the proposed wind power range prediction model can effectively forecast the output power interval, and provide power grid dispatcher with decision.
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Jingyu Zhang,Jiacheng Zhu,Shurong Ding,Liang Chen,Wenjie Li,Hua Pang 한국원자력학회 2018 Nuclear Engineering and Technology Vol.50 No.7
Delayed hydride cracking (DHC) is an important failure mechanism for Zircaloy tubes in the demandingenvironment of nuclear reactors. The threshold stress intensity factor, KIH, and critical hydride length, lC ,are important parameters to evaluate DHC. Theoretical models of them are developed for Zircaloy tubesundergoing non-homogenous temperature loading, with new stress distributions ahead of the crack tipand thermal stresses involved. A new stress distribution in the plastic zone ahead of the crack tip isproposed according to the fracture mechanics theory of second-order estimate of plastic zone size. Thedeveloped models with fewer fitting parameters are validated with the experimental results for KIH andlC. The research results for radial cracking cases indicate that a better agreement for KIH can be achieved;the negative axial thermal stresses can lessen KIH and enlarge the critical hydride length, so its effectshould be considered in the safety evaluation and constraint design for fuel rods; the critical hydridelength lC changes slightly in a certain range of stress intensity factors, which interprets the phenomenonthat the DHC velocity varies slowly in the steady crack growth stage. Besides, the sensitivity analysis ofmodel parameters demonstrates that an increase in yield strength of zircaloy will result in a decrease inthe critical hydride length lC , and KIH will firstly decrease and then have a trend to increase with the yieldstrength of Zircaloy; higher fracture strength of hydrided zircaloy will lead to very high values ofthreshold stress intensity factor and critical hydride length at higher temperatures, which might be themain mechanism of crack arrest for some Zircaloy materials
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