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- 저자 : Yuxin Liu (검색결과 16 건)
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Liu, Tie,Kim, Kee-Tae,Juvela, Mika,Wang, Ke,Tatematsu, Ken’ichi,Francesco, James Di,Liu, Sheng-Yuan,Wu, Yuefang,Thompson, Mark,Fuller, Gary,Eden, David,Li, Di,Ristorcelli, I.,Kang, Sung-ju,Lin, Yuxin Published by the University of Chicago Press for t 2018 The Astrophysical journal Supplement series Vol.234 No.2
<P>The low dust temperatures (< 14 K) of Planck Galactic cold clumps (PGCCs) make them ideal targets to probe the initial conditions and very early phase of star formation. 'TOP-SCOPE' is a joint survey program targeting similar to 2000 PGCCs in J = 1-0 transitions of CO isotopologues and similar to 1000 PGCCs in 850 mu m continuum emission. The objective of the 'TOP-SCOPE' survey and the joint surveys (SMT 10 m, KVN 21 m, and NRO 45 m) is to statistically study the initial conditions occurring during star formation and the evolution of molecular clouds, across a wide range of environments. The observations, data analysis, and example science cases for these surveys are introduced with an exemplar source, PGCC G26.53+0.17 (G26), which is a filamentary infrared dark cloud (IRDC). The total mass, length, and mean line mass (M/L) of the G26 filament are similar to 6200 M-circle dot, similar to 12 pc, and similar to 500 M-circle dot pc(-1), respectively. Ten massive clumps, including eight starless ones, are found along the filament. The most massive clump as a whole may still be in global collapse, while its denser part seems to be undergoing expansion owing to outflow feedback. The fragmentation in the G26 filament from cloud scale to clump scale is in agreement with gravitational fragmentation of an isothermal, nonmagnetized, and turbulent supported cylinder. A bimodal behavior in dust emissivity spectral index (beta) distribution is found in G26, suggesting grain growth along the filament. The G26 filament may be formed owing to large-scale compression flows evidenced by the temperature and velocity gradients across its natal cloud.</P>
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Yuxin Li,Zhi Liu,Jinli Yang,Ling Liu,Runlin Han 한국미생물학회 2019 The journal of microbiology Vol.57 No.8
Low-density lipoprotein (LDL) was recently reported to be an opsonin, enhancing the phagocytosis of group A Streptococcus (GAS) by human monocytic leukemia U937 cells due to the binding of LDL to some GAS strains. We postulated that LDL might also promote the opsonophagocytosis of Pseudomonas aeruginosa by U937 cells since this bacterium interacts with LDL. In this study, P. aeruginosa (CMCC10104), U937 cells, and human LDL were used in phagocytosis assays to test our hypothesis. Escherichia coli strain BL21, which does not interact with LDL, was used as a negative control. Colony counting and fluorescence microscopy were used to determine the bacterial quantity in the opsonophagocytosis assays. After incubation of U937 cells and P. aeruginosa with LDL (100 μg/ml) for 15 and 30 min, phagocytosis was observed to be increased by 22.71% and 32.90%, respectively, compared to that seen in the LDL-free group. However, LDL did not increase the phagocytosis of E. coli by U937 cells. In addition, we identified CD36 as a major opsonin receptor on U937 cells, since an anti-CD36 monoclonal antibody, but not an anti- CD4 monoclonal antibody, almost completely abolished the opsonophagocytosis of P. aeruginosa by U937 cells.
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Semi-rigid connection modeling for steel frameworks
Liu, Yuxin Techno-Press 2010 Structural Engineering and Mechanics, An Int'l Jou Vol.35 No.4
This article provides a discussion of the mathematic modeling of connections for designing and qualifying structures, systems, and components subject to monotonic or cyclic loading. To characterize the force-deformation behavior of connections under monotonic loading, a review of the Ramberg-Osgood, Richard-Abbott, and Menegotto-Pinto models is conducted, and it is shown that these nonlinear functions can be mathematically derived by scaling up or down a linear force-deformation function. A generalized four-parameter model for simulating connection behavior is investigated to facilitate nonlinear regression analysis. In order to perform seismic analysis of frameworks, a hysteretic model accounting for loading, unloading, and reloading is described using the established monotonic model. For preliminary analysis, a method is provided to quickly determine the model parameters that fit approximately with the observed data. To reach more accurate values of the parameters, the methods of nonlinear regression analysis are investigated and the modified Levenberg-Marquardt and separable nonlinear least-square algorithms are applied in determining the model parameters. Example case studies illustrate the procedure for the computation through the use of experimental/analytical data taken form the literature. Transformation of connection curves from the three-parameter model to the four-parameter model for structural analysis is conducted based on the modeling of connections subject to fire.
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Semi-rigid connection modeling for steel frameworks
Yuxin Liu 국제구조공학회 2010 Structural Engineering and Mechanics, An Int'l Jou Vol.35 No.4
This article provides a discussion of the mathematic modeling of connections for designing and qualifying structures, systems, and components subject to monotonic or cyclic loading. To characterize the force-deformation behavior of connections under monotonic loading, a review of the Ramberg-Osgood, Richard-Abbott, and Menegotto-Pinto models is conducted, and it is shown that these nonlinear functions can be mathematically derived by scaling up or down a linear force-deformation function. A generalized four-parameter model for simulating connection behavior is investigated to facilitate nonlinear regression analysis. In order to perform seismic analysis of frameworks, a hysteretic model accounting for loading, unloading, and reloading is described using the established monotonic model. For preliminary analysis, a method is provided to quickly determine the model parameters that fit approximately with the observed data. To reach more accurate values of the parameters, the methods of nonlinear regression analysis are investigated and the modified Levenberg-Marquardt and separable nonlinear least-square algorithms are applied in determining the model parameters. Example case studies illustrate the procedure for the computation through the use of experimental/analytical data taken form the literature. Transformation of connection curves from the three-parameter model to the four-parameter model for structural analysis is conducted based on the modeling of connections subject to fire.
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Liu, Yuxin,Liu, Anfeng,Li, Yuxuan,Li, Zhetao,Choi, Young-june,Sekiya, Hiroo,Li, Jie Elsevier 2017 Pervasive and mobile computing Vol.41 No.-
<P><B>Abstract</B></P> <P>In pervasive sensing data communication systems, it is significant to ensure data reliably and rapidly sent to the control center. Otherwise, laggard data transmission may result in vital loss. An adaptive persistent m data (APMD) transmission protocol is proposed to reduce delay with reliability guarantee for pervasive sensing data communication systems. In APMD transmission protocol, each data packet is sent for m ( m ≥ 1 ) times by sender at the first time of transmission. If the data packet cannot be received successfully for m times, sender will transmit this data packet again and wait for ACK sent back by receiver in the send and wait way. The next data packet will not be sent until this packet is sent successfully or the time of transmission reaches the maximum limit. The option of appropriate value of m is based on the energy situation, which guarantees high network lifetime. Both theoretical analysis and experimental simulation results indicate that the APMD protocol is better than the previous data transmission protocol. The delay can be reduced by 12.73%–14.78%, the energy utilization rate can be improved by about 35% compared to the SW-ARQ protocol, while the reliability increases slightly and the lifetime has no difference.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A fast data transmission protocol is proposed for pervasive sensing. </LI> <LI> The high reliability can be guaranteed in our protocol. </LI> <LI> The delay can be reduced by 12.73%–14.78% compare to previous studies in our protocol. </LI> <LI> The energy utilization can be enhanced by 35%. </LI> </UL> </P>
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Yuxin Bai,Guangzhi Cai,Na Guo,Xin Huang,Jiyu Gong,Shu-Ying Liu,Yun-Long Guo,Wei Wang 한국식품과학회 2024 Food Science and Biotechnology Vol.33 No.7
American ginseng (Panax quinquefolium L.) is used as tonic plant and high-grade nourishment. Ultra-high-performance liquid chromatography–high resolution mass spectrometry (UHPLC–HRMS) method was established for identifying the chemical constituent in three morphological regions of American ginseng, including main root (MR), rhizome (RH) and lateral root (LR). The 63 saponins was identified in different morphological regions of 10 American ginseng samples. The chemical maker compounds in corresponding morphological region, while the major compounds of MR (malonyl-ginsenoside Rb1, ginsenoside Rd, Rs2 and pseudo-RC1), LR (stipuleanoside R2, ginsenoside Re and malonyl-ginsenoside Rc), and RH (malonyl-ginsenoside Rd, Rb3, and chikusetsu saponin II) were discovered. Correlation analysis showed that 11 compounds were positively correlated with the antioxidant activity of American ginseng.
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Yuxin Pan,Xingfen Wang,Hengwei Liu,Guiyin Zhang,Zhiying Ma 한국식물학회 2010 Journal of Plant Biology Vol.54 No.5
UDP-xylose (UDP-Xyl) is a nucleotide sugar used as substrate for producing non-cellulose materials, e. g., hemicellulose and pectic polysaccharide, in the fibers of cotton (Gossypium). Its biosynthesis is catalyzed from UDP-glucuronic acid (UDP-GlcA) by UDP-glucuronate decarboxylase (UXS). Here, we first cloned GhUXS1 in Gossypium hirsutum and Gossypium barbadense based on a transcript-derived fragment that originated from our cDNA–AFLP transcriptome profiling in cotton. GhUXS2and GhUXS3 were also isolated via homology-based cloning. GhUXS nucleotide sequences were identical between the two species, and the deduced amino acid residues had the conserved motif of the UXS family, i.e.,GxxGxxG, Ser residues, and YxxxK. GhUXS1 was expressed in Escherichia coli and generated UXS activity that converted UDP-GlcA to UDP-Xyl. Semiquantitative RT-PCR results showed that GhUXSs transcripts were preferentially expressed during fiber development, from elongation through the stage of secondary cell wall synthesis. Although at the same number of days postanthesis they were more abundant in G. hirsutum, expression was sustained for a longer period in G. barbadense. These different patterns of expression may affect quality and partially explain why the latter species has better fiber strength.
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Yuxin Li,Keqiang Su,Peikang Bai,Liyun Wu,Bin Liu,Hongwen Su,Wenbo Du 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.5
The Ti/TiBCN composite coatings were fabricated on the substrate of Ti6Al4V alloy by laser cladding. The effects of TiBCNcontent on the microstructre, microhardness, corrosion resistance and tribological properties of the composite coatings werestudied. The results showed that, when the TiBCN content was 60 wt%, the composite coatings were mainly composed ofthe dendritic and rod-shaped TiBCN phases, small white lump TiC phases, fine lamellar TiN phases, small and scatteredwhite block TiB2phases, In addition, there was a small quantity of short whisker Al3Tiphases and uniform layer blockTiAl phases. Furhtermore, the maximum microhardness was 1596 HV, which was about 4.6 folds greater than that of thesubstrate; the corrosion potential (Ecorr) reached − 1.258 V and the corrosion current density (Icorr) was 4.035 × 10−5 A/cm2,which was one order lower than that of the substrate (1.172 × 10−4 A/cm2); the worn surface was relatively smooth and themass loss (1.22 g) was only 9/50 of that of the substrate (6.71 g).
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A Decomposition-Based Improved Broad Learning System Model for Short-Term Load Forecasting
Cheng Yuxin,Le Haozhe,Li Chunquan,Huang Jiehui,Liu Peter X. 대한전기학회 2022 Journal of Electrical Engineering & Technology Vol.17 No.5
It is still a challenging problem for most existing forecasting methods to obtain accurate and rapid prediction performance in short-term load forecasting because of the complexity and non-linearity of the electric load signals. To solve this problem, this paper proposes a hybrid forecasting model. In this hybrid forecasting model, an effi cient hybrid decomposition method is fi rst developed by a new combination mechanism between the ensemble empirical mode decomposition, approximate entropy, and empirical wavelet transform, enhancing the effi ciency and accuracy problems of traditional decomposition methods. Afterward, a new hybrid neural network called broad learning system-back propagation (BLS-BP) is established to predict multiple signal sequences from the proposed hybrid decomposition method. Specifi cally, in the proposed BLS-BP, a broad learning system can eff ectively reduce the computational cost, however, BP can eff ectively improve the prediction accuracy. Therefore, a reasonable combination of BLS and BP is established to obtain the compromise between computational cost and prediction accuracy. Finally, to improve the generalization ability of the model, a hybrid network based on the sliding window and cross-validation method is proposed, further improving the predictive accuracy. Owing to the novel and eff ective cooperation of the above three aspects, the proposed hybrid forecasting model has higher accuracy, faster effi ciency, and better robustness compared with other state-of-the-art algorithms. The experimental result demonstrates the above facts.
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