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The Phylogenetic Analysis of Camellia sinensis cv. Longjing 43
Xiaoqian Ye,Zhonghui Zhao,Lili Sun,Yue Xu,Hairong Xu 한국차학회 2015 한국차학회지 Vol.- No.S
In the recent years, researches in phylogeny and evolution based on the chloroplast genome attracted more and more attentions. The entire chloroplast genome of 13 species of typical core eudicots including Camellia sinensis cv. Longjing 43 was compared to analyze the genetic relationship in this study. 3 different methods were used to buildParsimony method. All the results showed that Longjing 43 and Ardisia polysticta have a closer relationship, with 100% support. Further researches should be done and more factors should be considered in phylogenetic analysis based on the complete chloroplast genome.
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Solution to Mixed H2/H∞ Control for Discrete-time Systems with (x,u,v)-dependent Noise
Xiaoqian Li,Wei Wang,Juanjuan Xu,Huanshui Zhang 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.2
In this paper, the stochastic H2=H∞ control problem for linear discrete-time systems with (x;u;v)-dependent noise is studied. By applying the leader-follower stochastic game approach, the disturbance is treatedas the follower and the control input is treated as the leader, respectively. Necessary and sufficient conditions forthe mixed control problem are presented which guarantee the existence and uniqueness of the optimal solution. Byapplying the stochastic maximum principle, the follower first solves a stochastic linear quadratic optimal controlproblem which is given in the form of H∞-norm with the aid of stochastic Riccati equations. Then the leader solves astochastic linear quadratic problem with the aid of forward and backward equations. The main technique is to introducetwo new co-states to capture the future information, the encountered difficulty is to establish a homogeneousrelationship between the new co-states.
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Xiaoning Wu,Xiaoqian Xu,Jialing Zhou,Yameng Sun,Huiguo Ding,Wen Xie,Guofeng Chen,Anlin Ma,Hongxin Piao,Bingqiong Wang,Shuyan Chen,Tongtong Meng,Xiaojuan Ou,Hwai-I Yang,Jidong Jia,Yuanyuan Kong,Hong Yo 대한간학회 2023 Clinical and Molecular Hepatology(대한간학회지) Vol.29 No.3
Background/Aims: Existing hepatocellular carcinoma (HCC) prediction models are derived mainly from pretreatment or early on-treatment parameters. We reassessed the dynamic changes in the performance of 17 HCC models in patients with chronic hepatitis B (CHB) during long-term antiviral therapy (AVT). Methods: Among 987 CHB patients administered long-term entecavir therapy, 660 patients had 8 years of follow-up data. Model scores were calculated using on-treatment values at 2.5, 3, 3.5, 4, 4.5, and 5 years of AVT to predict threeyear HCC occurrence. Model performance was assessed with the area under the receiver operating curve (AUROC). The original model cutoffs to distinguish different levels of HCC risk were evaluated by the log-rank test. Results: The AUROCs of the 17 HCC models varied from 0.51 to 0.78 when using on-treatment scores from years 2.5 to 5. Models with a cirrhosis variable showed numerically higher AUROCs (pooled at 0.65–0.73 for treated, untreated, or mixed treatment models) than models without (treated or mixed models: 0.61–0.68; untreated models: 0.51–0.59). Stratification into low, intermediate, and high-risk levels using the original cutoff values could no longer reflect the true HCC incidence using scores after 3.5 years of AVT for models without cirrhosis and after 4 years of AVT for models with cirrhosis. Conclusions: The performance of existing HCC prediction models, especially models without the cirrhosis variable, decreased in CHB patients on long-term AVT. The optimization of existing models or the development of novel models for better HCC prediction during long-term AVT is warranted.
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Nanhong Tang,Qun Xie,Xiaoqian Wang,Xiujin Li,Yanlin Chen,Xu Lin,Jianyin Lin 대한약학회 2011 Archives of Pharmacal Research Vol.34 No.5
Snake venom cystatin (sv-cystatin) is a member of the cystatin family of cysteine protease inhibitors. To further evaluate the possibility of sv-cystatin in cancer therapy, this study examined the effects of sv-cystatin on the invasion and metastasis of liver cancer cells (MHCC97H) in vitro and in vivo as well as the underlying mechanism. sv-cystatin cDNA was transfected into MHCC97H cells and the anti-invasion and antimetastasis effects of sv-cystatin were determined using migration and matrigel invasion assays and a lung-metastasis mice model. The results suggest that sv-cyst clone (sv-cystatin expression in MHCC97H cells) delayed the invasion and metastasis in vitro and in vivo compared to the parental, mock and si-sv-cyst clone cells (inhibited sv-cystatin expression by siRNA). The decreased activities of cathepsin B, MMP-2 and MMP-9 and EMT change index including higher E-cadherin, lower N-cadherin and decreased Twist activity were observed in the sv-cyst clone, which contributes to the change in invasion and metastasis ability of MHCC97H cells. This study provides evidence that expression of the sv-cystatin gene in MHCC97H cells inhibits tumor cell invasion and metastasis through the reduction of the proteinases activity and Epithelial-Mesenchymal Transition (EMT), which might contribute to the anticancer research of the sv-cystatin protein.
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Guoxu Wang,Jie Wu,Bifan Zeng,Zhibin Xu,Wanqiang Wu,Xiaoqian Ma 한국원자력학회 2017 Nuclear Engineering and Technology Vol.49 No.1
A well-performed core power control to track load changes is crucial in pressurized waterreactor (PWR) nuclear power stations. It is challenging to keep the core power stable at thedesired value within acceptable error bands for the safety demands of the PWR due to thesensitivity of nuclear reactors. In this paper, a state-space model predictive control (MPC)method was applied to the control of the core power. The model for core power control wasbased on mathematical models of the reactor core, the MPC model, and quadratic programming(QP). The mathematical models of the reactor core were based on neutron dynamicmodels, thermal hydraulic models, and reactivity models. The MPC model waspresented in state-space model form, and QP was introduced for optimization solutionunder system constraints. Simulations of the proposed state-space MPC control system inPWR were designed for control performance analysis, and the simulation results manifestthe effectiveness and the good performance of the proposed control method for core powercontrol.
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