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      • KCI등재

        Clonal Spread of Carbapenem Resistant Acinetobacter baumannii ST92 in a Chinese Hospital during a 6-Year Period

        Lei Huang,Liying Sun,Yan Yan 한국미생물학회 2013 The journal of microbiology Vol.51 No.1

        The carbapenem resistance rate of Acinetobacter baumannii in our hospital has increased steadily since 2004. The molecular epidemiology of carbapenem resistant A. baumannii (CRAB) clinical isolates was characterized by multilocus sequence typing (MLST) and rep-PCR in parallel, with pandrug susceptible A. baumannii (PSAB) used as control. MLST was performed to determine the sequence types (STs), and eBURST algorithm was used to analyze their relatedness. Carbapenem resistance related genes (oxa-23, oxa-24, oxa-51, oxa-58, imp, vim, and adeB) were screened using Polymerase Chain Reaction (PCR) method. 23 STs were identified in the 65 included isolates, with ST92 being the predominant clone. PSAB clustered into more singletons than CRAB. The positivity of oxa-23 and adeB correlated with high level carbapenem resistance (MICIPM>32 mg/L, MICMEM >32 mg/L) of CRAB ST92 isolates in 2009, which was different from the resistance pattern (MICIPM≤4 mg/L, 8 mg/L ≤MICMEM≤16 mg/L) of CRAB ST92 isolates in 2004. These observations suggest that clonal spread of CRAB ST92 isolates longitudinally is the possible reason for carbapenem resistance rate increase and correlate with high level carbapenem resistance in our hospital.

      • KCI등재

        Fabrication and Characterization of Copper-Exchanged BK7 Waveguides

        Lei Huang,Xianfeng Chen,Yong Yang,Yuxing Xia 한국물리학회 2007 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.51 No.II

        In this paper, we report fabrication of a copper-exchanged optical planar waveguide in BK7 glass by using ion exchange with ZnCl$_2$+Cu$_2$Cl$_2$ as ion source. The measured loss of the fabricated waveguides was as low as about 0.36 db/cm. The waveguides can hold 2 -- 4 modes with 5- to 30-minute exchange and 1 mode with 2- or 3-minute exchanges. The effective refractive index of each mode was determined by using the m-line test system at a wavelength of 0.65 $\mu$m. In addition, the cubic spline function interpolation method was employed to recover the gradient refractive index profiles of the copper-containing waveguides. The study on the annealing process for copper-exchanged waveguide is also discussed

      • KCI등재

        Effects of three main sugars in cane molasses on the production of butyric acid with Clostridium tyrobutyricum

        Lei Huang,Zhinan Xu,Yijuan Xiang,Jin Cai,Ling Jiang,Zhengbing Lv,Yaozhou Zhang 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.12

        The effects of three main sugars in cane molasses were investigated systematically to prepare a cost-effective medium for butyric acid bioproduction. Additionally, 30 g/L corn steep liquor was screened out as the suitable nitrogen source. In the batch fermentation of free cells, when 60 g/L glucose was the only carbon source, 21.28 g/L butyric acid was achieved after 30 h cultivation. Similar product concentration, productivity and yield were obtained when 60 g/L fructose was applied. The utilization of sucrose would bring about lower productivity (0.29 g/L·h) and product concentration (18.15 g/L), but the yield of butyric acid/sucrose (0.34 g/g) is almost the same as that from glucose or fructose (0.35 g/g). Finally, the sugar mixture (15 g/L glucose, 20 g/L fructose and 35 g/L sucrose) was employed to produce butyric acid in a fibrous-bed bioreactor (FBB), and 40.11 g/L butyric acid was produced with one simple fed-batch strategy.

      • KCI등재

        A New Method for Separating Temperature Effect of Bridge Strain Monitoring

        Lei Huang,Jingzhou Xin,Jiafeng Yang,Shuangjiang Li,Jianting Zhou 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.8

        Temperature has a significant influence on bridge strain monitoring data. To improve the accuracy of temperature effect separation in strain monitoring data, this paper proposes a temperature effect separation method comprising variational nonlinear chirp mode decomposition (VNCMD), principal component analysis (PCA) and blind source separation. Firstly, VNCMD was used to decompose the monitoring data of strain and temperature, and the intrinsic mode functions (IMF) of strain and temperature signals were obtained. Secondly, PCA was used to reduce the dimension of IMF, and the false components were eliminated to select the optimal components. After reducing the dimension, the components were used as the input of fast independent component analysis model for blind source separation. Finally, the feasibility and accuracy of the method was verified via the signal-to-noise ratio (SNR) in the simulated signal, and the separation results were evaluated using the Pearson correlation coefficient between the strain component and the corresponding temperature component in real bridge monitoring data. The proposed method performed better than the empirical mode decomposition (EMD) method. The signal-to-noise ratio (SNR) of VNCMD improved 51.80% for daily temperature difference effect and 32.41% for annual temperature difference effect in the numerical study, respectively; the correlation coefficients of VNCMD improved 52.90% for daily temperature difference effect and 4.26% for annual temperature difference effect in practical verification, respectively.

      • Research on the Data Synchronization of Cloud Stroke based on JSON

        Hua Gu,LeiHuang,Jing Liu,Qiuli Qin 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.7

        Cloud stroke is the cloud platform according to the medical association theory and combing cloud computing technology, build for the hospital systems which are involved in the medical association to sharing and exchange medical information. However, at this stage, there are some problems in the data exchange of the cloud platform: Firstly, every hospital in the medical association needs to configure a front machine and the front machine needs to connect with the cloud platform database directly. So there is a hidden risk for the cloud stroke. Secondly, the data synchronization vector is Excel file, the data reading efficiency is not very well, and at the same time, the front machine memory consumption is relatively very large. This paper, improve the data interactive process of cloud stroke, so that the front machine unneeded to connect with the cloud platform database directly. Then, design data specification and synchronization process based on JSON for cloud stoke information synchronization to compress the expenses, improve the speed and analysis the security of data synchronization.

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