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Isolation and Characterization of a Putative Vacuolar Na+/H+ Antiporter Gene from Zoysia japonica L.
Yanhua Du,Qian Hei,Yaxin Liu,Hui Zhang,Kai Xu,Tao Xia 한국식물학회 2010 Journal of Plant Biology Vol.52 No.4
A Na+/H+ antiporter gene from Zoysia japonica (ZjNHX1) which is a member of plant NHX-genes family was cloned by reverse-transcription-polymerase chain reaction (RT-PCR) and rapid amplification of cDNA ends (RACE)technology. The isolated cDNA is 2,421 bp in length and contains one open-reading frame (ORF) which comprises 540amino acid residues and shows higher homology with other plant Na+/H+ antiporters. ZjNHX1 could partially complement the salt-sensitive phenotypes of Δnhx1 and Δena1-4Δnhx1 yeast mutants in the presence of NaCl, KCl, and LiCl. The expression of ZjNHX1 in Z. japonica increased after NaCl treatment and this result accords with that of Na+contents determination under the same treatment. These results implied that ZjNHX1 functions as a vacuolar Na+/H+antiporter and plays an important role in salt tolerance and ion homeostasis in Z. japonica.
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Guo Xie,Xin Li,Xi Peng,Fucai Qian,Xinhong Hei 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.11
The effective prediction of remaining useful life is essential to realize system failure diagnosis and health management. The existing researches often assume that the degradation model is constant or the degradation process is measurable. The accurate degradation model, however, usually can not be established, and the parametric variation and measurement error of the degradation process are unavoidable, which makes it hard to obtain the exact value for predicting the remaining useful life. Regarding this problem, on basis of the concept of first failure time, a real-time probability density function is derived for the Wiener degradation process with the uncertainty of parameters, the stochasticity of degradation process and the randomness of measurement error. The main steps are as follows: firstly, the degradation model with three kinds of uncertainties is established, and then the stochastic degradation state and the parameters of the uncertainty model are estimated by fusion Kalman/UFIR filter; then, the analytical expression of the probability density function of remaining useful life is deduced. Finally, the correctness and effectiveness of the proposed method are verified by a group of comparison experiments and Monte Carlo simulations.
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