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Strongly Consistent Identification for Stochastic Linear Errors-in-variables Systems
Dan Fan,Guiming Luo 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
Since the practical systems are very complicated and the survey signals are disturbed, it is necessary to build anti-interference adaptive algorithms for disturbed systems modeling. Real-time errors-in-variables (EIV) systems, in which both the output and the input variables are disturbed by noises, are widely used in signal processing, communications, and control engineering. The adaptive modeling for stochastic linear EIV systems is considered in this paper. A recursive estimation algorithm is proposed for identifying both the system parameters and the noise variance. Then the convergence of the new algorithm is analyzed and the rate of convergence is obtained. It is shown that the parameter estimation can converge to their true values. Numerical simulations are included to illustrate the efficiency of the new algorithm.
Gene expression analysis of “green tide” alga Ulva prolifera (Chlorophyta) in China
Shangang Jia,Xumin Wang,Guiming Liu,Dan Luo,Jing Zhang,Yan Liu,Xiangzhi Lin,Tao Liu 한국유전학회 2011 Genes & Genomics Vol.33 No.2
Ulva prolifera (Ulvophyceae, Chlorophyta) is the causative species of the annual “green tides” in the Bohai Gulf of Northern China. In order to gain some more insight into the transcriptome of this fast-growing species of algae, we acquired 6,203 high-quality expressed-sequence-tags (ESTs),which were clustered into 4,080 unique sequences (UniSeqs). Functional classification revealed that most of the acquired transcripts were related to metabolic and biosynthetic processes,nucleotide binding, and cell part that might contribute to the organism’s rapid growth. Using 39 EST pools, 28 mitochondria genomes, and 18 chloroplast genomes from algae and land plants, we constructed three phylogenetic trees. These trees provided evidence that U. prolifera was in a sister position to Ulva linza, and shared a similar chloroplast origin with Pseudendoclonium akinetum. The findings of this study will improve our knowledge of the transcriptome and taxonomic position of U. prolifera.
Yongjian Li,Weihua Zhang,Qing Xiong,Dabing Luo,Guiming Mei,Tao Zhang 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.6
A novel rolling bearing fault diagnosis strategy is proposed based on Improved multiscale permutation entropy (IMPE), Laplacianscore (LS) and Least squares support vector machine-Quantum behaved particle swarm optimization (QPSO-LSSVM). Entropy-basedconcepts have attracted attention recently within the domain of physiological signals and vibration data collected from human body orrotating machines. IMPE, which was developed to reduce the variability of entropy estimation in time series, was used to obtain moreprecise and reliable values in rolling element bearing vibration signals. The extracted features were then refined by LS approach to form anew feature vector containing main unique information. By constructing the fault feature, the effective characteristic vector was input toQPSO-LSSVM classifier to distinguish the health status of rolling bearings. The comparative test results indicate that the proposed methodologyled to significant improvements in bearing defect identification.
Yun Li,Jinping Liu,Rong Luo,Yong You,Guiming Chen 한국생물공학회 2022 Biotechnology and Bioprocess Engineering Vol.27 No.4
Gefitinib has been widely used as a firstgeneration epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor for non-small-cell lung cancer (NSCLC) patients with EGFR mutation. In this study, we explored the key molecules responsible for acquired Gefitinib resistance in NSCLC cells. 3-(4,5-Dimethylthiazol- 2-yl)-2,5-diphenyltetrazolium bromide assay was performed to analyze the Gefitinib resistance and proliferation ability of NSCLC cells. Cell proliferation was also assessed by colony formation assay. Flow cytometry was performed to analyze cell apoptosis. Wound healing assay and transwell invasion assay were performed to the migration and invasion abilities of NSCLC cells, respectively. The target relationship between microRNA-409-3p (miR-409-3p) and circular RNA mannosidase alpha class 1A member 2 (circ- MAN1A2) or twist family bHLH transcription factor 1 (TWIST1) was verified by dual-luciferase reporter assay and RNA immunoprecipitation assay. Circ-MAN1A2 level was markedly elevated in Gefitinib-resistant NSCLC cell lines and tissues. Circ-MAN1A2 interference sensitized Gefitinib-resistant NSCLC cells to Gefitinib. Furthermore, circ-MAN1A2 interference suppressed the proliferation, migration and invasion and promoted the apoptosis of Gefitinib-resistant NSCLC cells. Circ-MAN1A2 overexpression negatively regulated miR-409-3p level by directly binding to it. miR-409-3p silencing partly counteracted circ-MAN1A2 silencing-mediated anti-tumor effects in Gefitinib-resistant NSCLC cells. TWIST1 was a target of miR-409-3p, and miR-409-3p overexpression-induced antitumor effects in Gefitinib-resistant NSCLC cells were partly reversed by TWIST1 overexpression. Circ-MAN1A2 silencing aggravated Gefitinib-mediated inhibition of tumor growth in vivo. In conclusion, circ-MAN1A2 facilitated the acquired resistance of Gefitinib and other malignant behaviors of NSCLC cells through mediating miR-409-3p/ TWIST1 axis.