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Zheng X.-Y.,Liaoning Normal University | Guo J.-Y.,Liaoning Normal University | Zhang Y.,Dalian Yuming Senior High School | Li Q.-L.,Liaoning Normal University
Zhiwu Shengli Xuebao/Plant Physiology Journal | Year: 2011

Abiotic stress seriously affects plant growth and development, reduces crop yields. Plants endure or resist abiotic stress via many ways, mainly by expressing abiotic stress-induced genes. Gene expression is regulated by upstream promoter and transcription factors. Abiotic stress-induced promoter cis-acting element and transcription factors become one focus of study now. This paper reviews the research methods of plant abiotic stress inducible promoter cis-acting elements and transcription factors and looks into their prospect. Source


Li G.-X.,Hainan University | Wang L.,Hainan University | Wang L.,Tsinghua University | Li J.-D.,Tsinghua University | Wang Y.-Q.,Dalian Yuming Senior High School
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2012

The soft sensor model of gas membrane separation process was built by radial basis function neural networks (RBFNN) based on principal component analysis (PCA). Some important performance parameters which are difficult to be measured online in hydrogen recovery process were analyzed. The result shows that the model is correct and the theoretical analysis is rational. PCA integrated into soft-sensor modeling simplifies the study of important performance parameters' on-line measuring of gas membrane separation process. Source


Li G.-X.,Hainan University | Wang L.,Hainan University | Wang L.,Tsinghua University | Li J.-D.,Tsinghua University | Wang Y.-Q.,Dalian Yuming Senior High School
Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities | Year: 2013

To aimed at the difficulty of measuring the performance parameters of hydrogen recovery membrane separation process in real time, a soft measurement model based on PCA-LSSVM was proposed. Firstly, PCA was used to analyze the relevance of multiple nonlinear variables, and obtain their different important degrees for the target variable. Then, combined grid search and cross validation with Bayes estimation were used to obtain the optimal value of two important parameters (gam=0.7, sig2=100) of LSSVM. The simulation results show that the prediction results of the model with four variables (permeate-side pressure, residue-side pressure, feed hydrogen concentration, feed gas flux) are in reasonable agreement with the measurement values. All the maximal relative errors are less than 8%, and the convergence rate of the model is less than 1 s. This study provides a guidance for the on-line detection of important performance parameters of the gas membrane separation process and its process optimal control. Source


Zhao X.-B.,Dalian Medical University | Zhang X.,Dalian Yuming Senior High School | Li X.-X.,Dalian University | Gao Y.,Dalian University | And 2 more authors.
Journal of Dalian Medical University | Year: 2011

[Objective] To investigate the expression and distribution of nicotinamide phosphoribosyl transferase (Nampt) in rat salivary glands. [Methods] The expressions of Nampt mRNA and protein were investigated by reverse transcription - polymerase chain reaction (RT-PCR) and Western Blot in the parotid, submandibular and major sublingual glands of rat. Immunohistochemical assay was applied to detect the distribution of Nampt in these glands too. [Results] The results of RT - PCR showed that the optical density of the expression of Nampt mRNA was 82.04%, 50.89% and 30.53% respectively in the parotid, submandibular and major sublingual glands of rat (P<0.05, compared with actin). The results of Western blot showed that the optical density of the expression of Nampt protein was 77.34%, 47.61% and 31.78%, respectively in these glands (P<0.05, compared with actin). Nampt protein was widely distributed in them, mainly localized in the cytoplasm and nucleus of both serous acinar cells and ductal cells. [Conclusions] Nampt mRNA and protein are expressed in the parotid, submandibular and major sublingual glands of rat, and may be involved in underlying mechanisms of physiology and patho - physiology in the salivary glands. Source

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