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THE (R,S)-SYMMETRIC SOLUTIONS TO THE LEAST-SQUARES PROBLEM OF MATRIX EQUATION AXB = C
Mao-lin Liang,Li-fang Dai,San-fu Wang 한국전산응용수학회 2009 Journal of applied mathematics & informatics Vol.27 No.5
For real generalizedreflexive matrices R, S, i.e., RT = R, R2 = I, ST = S, S2 = I, we say that real matrix X is (R,S)-symmetric, if RXS = X. In this paper, an iterative algorithm is proposed to solve the least-squares problem of matrix equation AXB = C with (R,S)-symmetric X. Furthermore, the optimal approximation solution to given matrix X0 is also derived by this iterative algorithm. Finally, given numerical example and its convergent curve show that this method is feasible and efficient. For real generalizedreflexive matrices R, S, i.e., RT = R, R2 = I, ST = S, S2 = I, we say that real matrix X is (R,S)-symmetric, if RXS = X. In this paper, an iterative algorithm is proposed to solve the least-squares problem of matrix equation AXB = C with (R,S)-symmetric X. Furthermore, the optimal approximation solution to given matrix X0 is also derived by this iterative algorithm. Finally, given numerical example and its convergent curve show that this method is feasible and efficient.
SSOR-LIKE METHOD FOR AUGMENTED SYSTEM
Mao-lin Liang,Li-fang Dai,San-fu Wang 한국전산응용수학회 2011 Journal of applied mathematics & informatics Vol.29 No.5
This paper proposes a new generalized iterative method (SSOR-like method) for solving augmented system. A functional equation relating two involved parameters is obtained, and some convergence conditions for this method are derived. This paper generalizes some foregone results. Numerical examples show that, this method is effcient by suitable choices of the involved parameters.
THE (R,S)-SYMMETRIC SOLUTIONS TO THE LEAST-SQUARES PROBLEM OF MATRIX EQUATION AXB = C
Liang, Mao-Lin,Dai, Li-Fang,Wang, San-Fu The Korean Society for Computational and Applied M 2009 Journal of applied mathematics & informatics Vol.27 No.5
For real generalized reflexive matrices R, S, i.e., $R^T$ = R, $R^2$ = I, $S^T$ = S, $S^2$ = I, we say that real matrix X is (R,S)-symmetric, if RXS = X. In this paper, an iterative algorithm is proposed to solve the least-squares problem of matrix equation AXB = C with (R,S)-symmetric X. Furthermore, the optimal approximation solution to given matrix $X_0$ is also derived by this iterative algorithm. Finally, given numerical example and its convergent curve show that this method is feasible and efficient.
SSOR-LIKE METHOD FOR AUGMENTED SYSTEMy
Liang, Mao-Lin,Dai, Li-Fang,Wang, San-Fu The Korean Society for Computational and Applied M 2011 Journal of applied mathematics & informatics Vol.29 No.5
This paper proposes a new generalized iterative method (SSOR-like method) for solving augmented system. A functional equation relating two involved parameters is obtained, and some convergence conditions for this method are derived. This paper generalizes some foregone results. Numerical examples show that, this method is efficient by suitable choices of the involved parameters.
( Xiao Mao Xiong ),( Yuan Liang Hu ),( Nan Feng Yan ),( Ying Na Huang ),( Nan Peng ),( Yun Xiang Liang ),( Shu Miao Zhao ) 한국미생물 · 생명공학회 2014 Journal of microbiology and biotechnology Vol.24 No.8
A systematic investigation was performed on the bacterial, Bacillus, fungal, and yeast communities of the three types of Daqu (mechanically prepared, manually prepared, and mixed prepared) used in Baiyunbian Company by reconditioning PCR-denaturing gradient gel electrophoresis (PCR-DGGE). The DGGE results showed that the microbes in the three types of Daqu were mainly thermotolerant and thermophilic microbes, and the most dominant bacterial species were Bacillus and Virgibacillus, followed by Lactobacillus and Trichococcus. Furthermore, the dominant fungi were found to be molds, such as Rasamsonia, Penicillium, Aspergillus, and Monascus, and the dominant yeasts were Saccharomyces cerevisiae, Saccharomycopsis fibuligera, Pichia anomala, and Debaryomyces hansenii. In general, the three types of Daqu showed slight differences in microbial communities, and the Shannon indexes (H`) of the manually prepared and mechanically prepared Daqu were similar. The results suggest that mechanically prepared Daqu can replace manually prepared Daqu in liquor production, and this research provides useful information for liquor production and process improvement.
Zhi-jie Liang,Jiayu Peng,Jiale Liang,Yujing Song,Weini Jia,Qing-hui Mao 한국섬유공학회 2022 Fibers and polymers Vol.23 No.12
The outstanding redox chemistry of polyoxovanadate has shown excellent catalysis prospects. In the present work,the effect of polyoxovanadate (K7[MnV13O38]·18H2O) on the catalytic polymerization of catechol was investigated for thefirst time. The synthesized polymer was applied in-situ for the dyeing of cotton under mild conditions. Various processparameters, including the dosages of catechol and polyoxovanadate and incubation temperature, which influence the colordepth, were analyzed. The effect of different time intervals on polyoxovanadate-catalyzed polymerization of catechol wasexamined using UV-vis spectroscopy. The color intensity of cotton was evaluated by means of K/S value and color difference(ΔE*). The results show that the dyeing depth of the dyed cotton fabrics gradually increased with the extension of time andthe increase in the concentration of polyoxovanadate. This work represents a novel synthetic process exploring the potentialof a polymer to be used for textile dyeing.
Mao, Yanwei,Zhang, Yimin,Liang, Rongrong,Ren, Lulu,Zhu, He,Li, Ke,Zhu, Lixian,Luo, Xin Asian Australasian Association of Animal Productio 2012 Animal Bioscience Vol.25 No.8
The objective of this study was to investigate the effect of rapid chilling (RC) on beef quality and the degradation of cytoskeletal proteins. Twenty Chinese Yellow crossbred bulls were selected and randomly divided into two groups. RC and conventional chilling (CC) were applied to left and right sides of the carcasses respectively after slaughtering. To determine whether electrical stimulation (ES) treatment can alleviate the potential hazard of RC on meat quality, ES was applied to one group. The effects of RC and ES were determined by meat color, shear force and cytoskeletal protein degradation postmortem (PM). The results showed that RC decreased beef tenderness at 1 d and 3 d postmortem, but had no detrimental effect on meat color. Western blotting showed that RC decreased the degradation rate of desmin and troponin-T, but the effects weakened gradually as postmortem aging extended. Degradation rates of both desmin and troponin-T were accelerated by ES. The combination of RC and ES could improve beef color, accelerate degradation rate of cytoskeletal protein and improve beef tenderness.
Mao Minghuan,Yang Liang,Hu Jingyao,Liu Bing,Zhang Xiling,Liu Yili,Wang Ping,Li Hangyu 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-
The neuronally expressed developmentally downregulated 4 (NEDD4) gene encodes a ubiquitin ligase that targets the epithelial sodium channel for degradation and has been implicated in tumor growth in various cancers. Hence, in this study, we intended to characterize the functional relevance of the NEDD4-mediated Kruppel-like factor 8/microRNA-132/nuclear factor E2-related factor 2 (KLF8/miR-132/NRF2) axis in the development of bladder cancer. NEDD4 and KLF8 were overexpressed in bladder cancer tissues and were associated with poorer patient survival rates. In bladder cancer cells, NEDD4 intensified the stability and transcriptional activity of KLF8 through ubiquitination to augment cell viability and migratory ability. Our investigations revealed that NEDD4 promotes the binding of KLF8 to the miR-132 promoter region and inhibits the expression of miR-132. KLF8 inhibited the expression of miR-132 to augment the viability and migratory ability of bladder cancer cells. Furthermore, miR-132 downregulated the expression of NRF2 to restrict the viability and migratory ability of bladder cancer cells. In addition, in vivo findings verified that NEDD4 regulates the KLF8/miR-132/NRF2 axis by accelerating tumor growth and lung metastasis. In conclusion, this study highlights NEDD4 as a potential therapeutic target against tumor recurrence and metastasis in bladder cancer.
MicroRNA-576-3p Inhibits Proliferation in Bladder Cancer Cells by Targeting Cyclin D1
Liang, Zhen,Li, Shiqi,Xu, Xin,Xu, Xianglai,Wang, Xiao,Wu, Jian,Zhu, Yi,Hu, Zhenghui,Lin, Yiwei,Mao, Yeqing,Chen, Hong,Luo, Jindan,Liu, Ben,Zheng, Xiangyi,Xie, Liping Korean Society for Molecular and Cellular Biology 2015 Molecules and cells Vol.38 No.2
MicroRNAs (miRNAs) are small, endogenous RNAs that play important gene-regulatory roles by binding to the imperfectly complementary sequences at the 3'-UTR of mRNAs and directing their gene expression. Here, we first discovered that miR-576-3p was down-regulated in human bladder cancer cell lines compared with the non-malignant cell line. To better characterize the role of miR-576-3p in bladder cancer cells, we over-expressed or down-regulated miR-576-3p in bladder cancer cells by transfecting with chemically synthesized mimic or inhibitor. The overexpression of miR-576-3p remarkably inhibited cell proliferation via G1-phase arrest, and decreased both mRNA and protein levels of cyclin D1 which played a key role in G1/S phase transition. The knock-down of miR-576-3p significantly promoted the proliferation of bladder cancer cells by accelerating the progression of cell cycle and increased the expression of cyclin D1. Moreover, the dual-luciferase reporter assays indicated that miR-576-3p could directly target cyclin D1 through binding its 3'-UTR. All the results demonstrated that miR-576-3p might be a novel suppressor of bladder cancer cell proliferation through targeting cyclin D1.
Mao Lin,Ying-Hui Li,Liang Qu,Chen Wu,Guo-Qiang Yuan 전력전자학회 2016 JOURNAL OF POWER ELECTRONICS Vol.16 No.1
Fault detection is the research focus and priority in this study to ensure the high reliability of a proposed three-level inverter. Kernel principal component analysis (KPCA) has been widely used for feature extraction because of its simplicity. However, highlighting useful information that may be hidden under retained KPCs remains a problem. A weighted KPCA is proposed to overcome this shortcoming. Variable contribution plots are constructed to evaluate the importance of each KPC on the basis of sensitivity analysis theory. Then, different weighting values of KPCs are set to highlight the useful information. The weighted statistics are evaluated comprehensively by using the improved feature eigenvectors. The effectiveness of the proposed method is validated. The diagnosis results of the inverter indicate that the proposed method is superior to conventional KPCA.