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Xin Zhao,Chao Ge,Fangfang Ji,Yajuan Liu 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.11
In the paper, the chaos least squares support vector machine algorithm (Chaos-LS-SVM) is applied. To conduct uncertainty analysis of wind power forecasting, two forecasting algorithms of the probabilistic uncertainty analysis based on the Monte Carlo method and the quantile regression analysis based on Chaos-LS-SVM are discussed. The effectiveness and superiority of the two uncertainty analysis methods in the confidence level of 95%, 90%, and 85% are discussed by simulation analysis, and the confidence interval is given in the corresponding confidence level. The prediction interval coverage probability (PICP) and the prediction interval normalized average width (PINAW) of the two uncertainty methods are compared. In the time scale of 1h-ahead, 4h-ahead, and 6h-ahead, the probabilistic uncertainty analysis based on the Monte Carlo method is suitable. In the time scale of 24h-ahead, the quantile regression analysis based on Chaos-LS-SVM is superior.
A new family of spatial 3-DOF parallel manipulators with two translational and one rotational DOFs
Liu, Xin-Jun,Wang, Jinsong,Wu, Chao,Kim, Jongwon Cambridge University Press 2009 Robotica Vol.27 No.2
<B>SUMMARY</B><P>This paper proposes a new family of spatial 3-DOF (degree of freedom) parallel manipulators with two translational and one rotational DOFs. The manipulators in this family are the variations of the parallel manipulators, which are capable of very high rotational capability, introduced by X.-J. Liu, J. Wang, and G. Pritschow (“A new family of spatial 3-DoF fully parallel manipulators with high rotational capability,” <I>Mech. Mach. Theory</I>40(4), 475-494, 2005). However, compared with those old manipulators, the new parallel manipulators proposed here have the advantages of simpler kinematics and structure, easier manufacturing, and energy saving.</P>
Xin Chao Liu,Xiao Nan Lu,Qi Zhi Liu,Zhi Long Liu 한국응용곤충학회 2014 Journal of Asia-Pacific Entomology Vol.17 No.4
Water-distilled essential oil from the dried bulbs of Allium chinense (Liliaceae) was analyzed by gaschromatography–mass spectrometry (GC–MS). Eighteen compounds, accounting for 98.4% of the total oil,were identified and the main components of the essential oil of A. chinense were methyl allyl trisulfide(30.7%), dimethyl trisulfide (24.1%), methyl propyl disulfide (12.8%) and dimethyl disulfide (9.6%) followed bymethyl allyl disulfide (3.4%) and methyl propyl trisulfide (3.6%). The essential oil exhibited contact toxicityagainst the booklice (Liposcelis bostrychophila) with an LC50 value of 441.8 μg/cm2 while the two major constituents,dimethyl trisulfide and methyl propyl disulfide had LC50 values of 153.0 μg/cm2 and 738.0 μg/cm2 againstthe booklice, respectively. The essential oil of A. chinense possessed strong fumigant toxicity against the booklicewith an LC50 value of 186.5 μg/l while methyl allyl trisulfide (LC50=90.4 μg/l) and dimethyl trisulfide (LC50=114.2 μg/l) exhibited stronger fumigant toxicity than methyl propyl disulfide (LC50= 243.4 μg/l) and dimethyldisulfide (LC50= 340.8 μg/l) against the booklice. The results indicated that the essential oil and itsmajor constituentshave potential for development into natural insecticides or fumigants for control of insects in stored grains.
Xu, Jia,Liu, Chang,Zhou, Lei,Tian, Feng,Tai, Ming-Hui,Wei, Ji-Chao,Qu, Kai,Meng, Fan-Di,Zhang, Ling-Qiang,Wang, Zhi-Xin,Zhang, Jing-Yao,Chang, Hu-Lin,Liu, Si-Nan,Xu, Xin-Shen,Song, Yan-Zhou,Liu, Jun,Z Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.2
Serum alpha-fetoprotein (AFP) is a significant marker for clinical diagnosis and prognosis evaluation in hepatocellular carcinoma (HCC) patients. However, some proportion of liver cancer patients are AFP-negative (AFP ${\leq}$20ng/ml). In order to study the differences between clinicopathological factors and prognosis of alpha-fetoprotein negative and positive patients, a total of 114 cases (41 AFP-negative and 73 AFP-positive) were selected for our research. By systematically statistical analysis, the results demonstrated that compared with AFP-negative patients, AFP-positive examples were more likely to feature cirrhosis nodules, non-complete neoplasm capsules, and a poor Edmondson-steiner grade. Furthermore, AFP-negative patients demonstrated a favorable long-term prognosis. By univariate analysis and multivariate analysis with Cox's proportional hazards model, multiple tumors were found to be independent risk factors for worse survival of AFP negative patients; however, less tumor-free margins, multiple tumors and Edmondson-steiner grades III/IV, proved to be independent risk factors leading to a poor prognosis of AFP positive cases. Finally, we can infer that high levels of AFP signify a highly malignant tumor and unfavorable prognosis.
Glucosamine induces cell death $via$ proteasome inhibition in human ALVA41 prostate cancer cell
Liu, Bao-Qin,Meng, Xin,Li, Chao,Gao, Yan-Yan,Li, Ning,Niu, Xiao-Fang,Guan, Yifu,Wang, Hua-Qin Korean Society for Biochemistry and Molecular Bion 2011 Experimental and molecular medicine Vol.43 No.9
Glucosamine, a naturally occurring amino monosaccharide, has been reported to play a role in the regulation of apoptosis more than half century. However the effect of glucosamine on tumor cells and the involved molecular mechanisms have not been thoroughly investigated. Glucosamine enters the hexosamine biosynthetic pathway (HBP) downstream of the rate-limiting step catalyzed by the GFAT (glutamine:fluctose- 6-phosphate amidotransferase), providing UDP-GlcNAc substrates for O-linked ${\beta}$-N-acetylglucosamine (O-GlcNAc) protein modification. Considering that O-GlcNAc modification of proteasome subunits inhibits its activity, we examined whether glucosamine induces growth inhibition $via$ affecting proteasomal activity. In the present study, we found glucosamine inhibited proteasomal activity and the proliferation of ALVA41 prostate cancer cells. The inhibition of proteasomal activity results in the accumulation of ubiquitinated proteins, followed by induction of apoptosis. In addition, we demonstrated that glucosamine downregulated proteasome activator $PA28{\gamma}$ and overexpression of $PA28{\gamma}$ rescued the proteasomal activity and growth inhibition mediated by glucosamine. We further demonstrated that inhibition of O-GlcNAc abrogated $PA28{\gamma}$ suppression induced by glucosamine. These findings suggest that glucosamine may inhibit growth of ALVA41 cancer cells through downregulation of $PA28{\gamma}$ and inhibition of proteasomal activity via O-GlcNAc modification.
Chao, Zhe,Zheng, Xin-Li,Sun, Rui-Ping,Liu, Hai-Long,Huang, Li-Li,Cao, Zong-Xi,Deng, Chang-Yan,Wang, Feng Asian Australasian Association of Animal Productio 2016 Animal Bioscience Vol.29 No.7
Epigenetic processes in the development of skeletal muscle have been appreciated for over a decade. DNA methylation is a major epigenetic modification important for regulating gene expression and suppressing spurious transcription. Up to now, the importance of epigenetic marks in the regulation of Pax7 and myogenic regulatory factors (MRFs) expression is far less explored. In the present study, semi-quantitative the real-time polymerase chain reaction (RT-PCR) analyses showed MyoD and Myf5 were expressed in activated and quiescent C2C12 cells. MyoG was expressed in a later stage of myogenesis. Pax7 was weakly expressed in differentiated C2C12 cells. To further understand the regulation of expression of these genes, the DNA methylation status of Pax7, MyoD, and Myf5 was determined by bisulfite sequencing PCR. During the C2C12 myoblasts fusion process, the changes of promoter and exon 1 methylation of Pax7, MyoD, and Myf5 genes were observed. In addition, an inverse relationship of low methylation and high expression was found. These results suggest that DNA methylation may be an important mechanism regulating Pax7 and MRFs transcription in cell myogenic differentiation.
A multi-layer approach to DN 50 electric valve fault diagnosis using shallow-deep intelligent models
Liu, Yong-kuo,Zhou, Wen,Ayodeji, Abiodun,Zhou, Xin-qiu,Peng, Min-jun,Chao, Nan Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.1
Timely fault identification is important for safe and reliable operation of the electric valve system. Many research works have utilized different data-driven approach for fault diagnosis in complex systems. However, they do not consider specific characteristics of critical control components such as electric valves. This work presents an integrated shallow-deep fault diagnostic model, developed based on signals extracted from DN50 electric valve. First, the local optimal issue of particle swarm optimization algorithm is solved by optimizing the weight search capability, the particle speed, and position update strategy. Then, to develop a shallow diagnostic model, the modified particle swarm algorithm is combined with support vector machine to form a hybrid improved particle swarm-support vector machine (IPs-SVM). To decouple the influence of the background noise, the wavelet packet transform method is used to reconstruct the vibration signal. Thereafter, the IPs-SVM is used to classify phase imbalance and damaged valve faults, and the performance was evaluated against other models developed using the conventional SVM and particle swarm optimized SVM. Secondly, three different deep belief network (DBN) models are developed, using different acoustic signal structures: raw signal, wavelet transformed signal and time-series (sequential) signal. The models are developed to estimate internal leakage sizes in the electric valve. The predictive performance of the DBN and the evaluation results of the proposed IPs-SVM are also presented in this paper.