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Xiao‑xia Ma,Yi‑ning Wang,Xiao‑an Cao,Xue‑rui Li,Yong‑sheng Liu,Jian‑hua Zhou,Xue‑peng Cai 한국유전학회 2018 Genes & Genomics Vol.40 No.9
The nucleocapsid (N) protein of peste des petits ruminants virus (PPRV) with a conserved amino acid usage pattern plays an important role in viral replication. The primary objective of this study was to estimate roles of synonymous codon usages of PPRV N gene and tRNA abundances of host in the formation of secondary structure of N protein. The potential effects of synonymous codon usages of N gene and tRNA abundances of host on shaping different folding units (α-helix, β-strand and the coil) in N protein were estimated, based on the information about the modeling secondary structure of PPRV N protein. The synonymous codon usage bias was found in different folding units in PPRV N protein. To better understand the role of translation speed caused by variant tRNA abundances in shaping the specific folding unit in N protein, we modeled the changing trends of tRNA abundance at the transition boundaries from one folding unit to another folding unit (β-strand → coil, coil → β-strand, α-helix → coil, coil → α-helix). The obvious fluctuations of tRNA abundance were identified at the two transition boundaries (β-strand → coil and coil → β-strand) in PPRV N protein. Our findings suggested that viral synonymous codon usage bias and cellular tRNA abundance variation might have potential effects on the formation of secondary structure of PPRV N protein.
Xiao-Xia Zheng,Peng Peng 전력전자학회 2019 JOURNAL OF POWER ELECTRONICS Vol.19 No.2
As the core component of transmission systems, converters are very prone to failure. To improve the accuracy of fault diagnosis for wind power converters, a fault feature extraction method combined with a wavelet transform and compressed sensing theory is proposed. In addition, an improved AdaBoost-SVM is used to diagnose wind power converters. The three-phase output current signal is selected as the research object and is processed by the wavelet transform to reduce the signal noise. The wavelet approximation coefficients are dimensionality reduced to obtain measurement signals based on the theory of compressive sensing. A sparse vector is obtained by the orthogonal matching pursuit algorithm, and then the fault feature vector is extracted. The fault feature vectors are input to the improved AdaBoost-SVM classifier to realize fault diagnosis. Simulation results show that this method can effectively realize the fault diagnosis of the power transistors in converters and improve the precision of fault diagnosis.
Xia, Xiao-Xia,Han, Mee-Jung,Lee, Sang Yup,Yoo, Jong-Shin WILEY-VCH Verlag 2008 Proteomics Vol.8 No.10
<P>Escherichia coli BL21 (DE3) and W3110 strains, belonging to the family B and K-12, respectively, have been most widely employed for recombinant protein production. During the excretory production of recombinant proteins by high cell density cultivation (HCDC) of these strains, other native E. coli proteins were also released. Thus, we analyzed the extracellular proteomes of E. coli BL21 (DE3) and W3110 during HCDC. E. coli BL21 (DE3) released more than twice the amount of protein compared with W3110 during HCDC. A total of 204 protein spots including 83 nonredundant proteins were unambiguously identified by 2-DE and MS. Of these, 32 proteins were conserved in the two strains, while 20 and 33 strain-specific proteins were identified for E. coli BL21 (DE3) and W3110, respectively. More than 70% of identified proteins were found to be of periplasmic origin. The outer membrane proteins, OmpA and OmpF, were most abundant. Two strains showed much different patterns in their released proteins. Also, cell density-dependent variations in the released proteins were observed in both strains. These findings summarized as reference proteome maps will be useful for studying protein release in further detail, and provide new strategies for enhanced excretory production of recombinant proteins.</P>
The Delay-dependent Condition for Uncertain T-S Fuzzy Lurie Control Systems with Time-delay
Xiao-Xu Xia 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.5
The problem of delay-dependent condition for a new class of Takagi-Sugeno (T-S) fuzzy Lurie control systems with time-delay and time-variant uncertainties is investigated in this paper, which is different from existing ones. We use T-S fuzzy models to describe Lurie system in the form of a weighted sum of some simple linear subsystems, and a new delay-dependent absolute stability criterion for such systems is derived by utilizing Lyapunov-Krasovskii functional (LKF), linear matrix inequality (LMI) approach and novel techniques. Finally, a numerical example and its simulation results have shown that the proposed result is feasible and effective.
Canonical Transient Receptor Potential Channels and Their Link with Cardio/Cerebro-Vascular Diseases
Xiao, Xiong,Liu, Hui-Xia,Shen, Kuo,Cao, Wei,Li, Xiao-Qiang The Korean Society of Applied Pharmacology 2017 Biomolecules & Therapeutics(구 응용약물학회지) Vol.25 No.5
The canonical transient receptor potential channels (TRPCs) constitute a series of nonselective cation channels with variable degrees of $Ca^{2+}$ selectivity. TRPCs consist of seven mammalian members, TRPC1, TRPC2, TRPC3, TRPC4, TRPC5, TRPC6, and TRPC7, which are further divided into four subtypes, TRPC1, TRPC2, TRPC4/5, and TRPC3/6/7. These channels take charge of various essential cell functions such as contraction, relaxation, proliferation, and dysfunction. This review, organized into seven main sections, will provide an overview of current knowledge about the underlying pathogenesis of TRPCs in cardio/cerebro-vascular diseases, including hypertension, pulmonary arterial hypertension, cardiac hypertrophy, atherosclerosis, arrhythmia, and cerebrovascular ischemia reperfusion injury. Collectively, TRPCs could become a group of drug targets with important physiological functions for the therapy of human cardio/cerebro-vascular diseases.
Evolving Recommender System for Mobile Apps
Xiao Xia,Xiaodong Wang,Xingming Zhou 한국산학기술학회 2013 SmartCR Vol.3 No.3
The explosive growth of mobile apps gives rise to the significant challenge of app discovery. For this reason, Google Play utilizes a collaborative filtering approach for recommending apps to users by analyzing user behavior. Those recommendations help users discover apps by referring to the experiences of other users. However, their choices may also be limited because most users only know about a limited number of apps. To eliminate such constraints, we propose a novel recommendation method utilizing global information about apps. We generate recommendations by both analyzing the metadata and measuring the similarity between apps, leveraging the Latent Semantic Index method. To understand both methods, we further measure the diversity within them. Through those measurements, we not only gain better understanding of both recommendation methods but also discover new knowledge about user preferences. Such measurements also identify the necessity and potential to evolve the existing system. We therefore propose a diversity measurement?based evolution framework for the development of mobile app recommender systems. To implement the framework, we further model the system evolution as a multi-criteria optimization problem and design a rank aggregation scheme to solve it. Preliminary evaluations verified the promising effectiveness of our framework and method based on a data set of 103,348 apps.