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RISS 인기검색어
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- 저자 : Wei-Guo Bian (검색결과 5 건)
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Hua Guo,Zheng-Wei Xu,Bao-Rong He,Ding-Jun Hao,Wei-Guo Bian 한국조직공학과 재생의학회 2014 조직공학과 재생의학 Vol.11 No.5
A well-defined three-dimensional (3-D) reconstruction of bone-cartilage transitional structures is crucial for the osteochondral restoration. This paper presents an accurate, computationally efficient and semi-automated algorithm for the alignment and segmentation of two-dimensional (2-D) serial to construct the 3-D model of bonecartilage transitional structures. Entire system includes the following five components: (1) image harvest, (2) image registration, (3) image segmentation, (4) 3-D reconstruction and visualization, and (5) evaluation. A computer program was developed in the environment of Matlab for the semi-automatic alignment and automatic segmentation of serial sections. Semi-automatic alignment algorithm based on the position’s cross-correlation of the anatomical characteristic feature points of two sequential sections. A method combining an automatic segmentation and an image threshold processing was applied to capture the regions and structures of interest. SEM micrograph and 3-D model reconstructed directly in digital microscope were used to evaluate the reliability and accuracy of this strategy. The morphology of 3-D model constructed by serial sections is consistent with the results of SEM micrograph and 3-D model of digital microscope.
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Yang Wei,Wang Dan,Guo Jingming,Zhang Yijiao,Zhang Jiajia,Bian Zhaoyuan 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.1
Mobile energy storage spatially and temporally transports electric energy and has fexible dispatching, and it has the potential to improve the reliability of distribution networks. In this paper, we studied the reliability assessment of the distribution network with power exchange from mobile energy storage units, considering the coupling diferences among diferent time and zones of the vehicle–road–network system. First, we constructed a basic mobile energy storage operation framework that supports the distribution network reliability. Next, we proposed a quantitative model to describe the dynamic zonal coupled vehicle–road–network system. Based on this model, the corresponding charging and discharging scheduling strategies for diferent mobile energy storage units are well designed to improve the efciency of power support. Then, we provided a distribution network reliability assessment algorithm handling the power exchange from mobile energy storage units. Finally, we used the IEEE 33-node example system to clarify the necessity of the vehicle–road–network model in accounting for dynamic zonal coupling. We also analyzed the impact of diferent characteristics of mobile energy storage on the reliability of the distribution network, and verifed that one can improve the distribution network reliability by increasing the response speed, power capacity, or charging/discharging power of mobile energy storage vehicles.
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TC1 (C8orf4) is involved in ERK1/2 pathway-regulated G1-to S-phase transition
( Yi Dong Wang ),( Guo Hui Bian ),( Xiao Yan Lv ),( Rong Zheng ),( Huan Sun ),( Zheng Zhang ),( Ye Chen ),( Qin Wei Li ),( Yan Xiao ),( Qiu Tan Yang ),( Jian Zhong Ai ),( Yu Quan Wei ),( Qin Zhou ) 생화학분자생물학회 2008 BMB Reports Vol.41 No.10
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Azohydromonas aeria sp. nov., isolated from air
Han Xue,Chun-gen Piao,Dan-ran Bian,Min-wei Guo,Yong Li 한국미생물학회 2020 The journal of microbiology Vol.58 No.7
A grey pink colored bacterium, strain t3-1-3T, was isolated from the air at the foot of the Xiangshan Mountain in Beijing, China. The cells are aerobic, Gram-stain-negative, non-sporeforming, motile and coccoid-rod shaped (0.9–1.2 × 1.9–2.1 μm). Strain t3-1-3T was catalase-positive and oxidase-negative and this strain grew at 4–42°C (optimum 28°C), a pH of 4.0–9.0 (optimum pH 7.0) and under 0–2% (w/v) NaCl (optimum 0–1% NaCl). A phylogenetic analysis based on 16S rRNA gene sequences revealed that strain t3-1-3T was closely related to Azohydromonas riparia UCM-11T (97.4% similarity), followed by Azohydromonas australica G1-2T (96.8%) and Azohydromonas ureilytica UCM-80T (96.7%). The genome of strain t3-1-3T contains 6,895 predicted protein-encoding genes, 8 rRNA genes, 62 tRNA genes and one sRNA gene, as well as five potential biosynthetic gene clusters, including clusters of genes coding for non-ribosomal peptide synthetase (NRPS), bacteriocin and arylpolyene and two clusters of genes for terpene. The predominant cellular fatty acids (> 10.0% of the total) in strain t3-1-3T were summed feature 3 (C16:1ω7c and/or C16:1ω6c, 37.8%), summed feature 8 (C18:1ω7c and/or C18:1ω6c, 29.7%) and C16:0 (17.3%). Strain t3-1-3T contained ubiquinone-8 (Q-8) as the predominant respiratory quinone. The polar lipids of strain t3-1-3T comprised phosphatidyl ethanolamine (PE), phosphatidyl glycerol (PG), diphosphatidyl glycerol (DPG), an unidentified glycolipid (GL), an unidentified aminophospholipid (APL), two unidentified phospholipid (PL1-2) and five unidentified lipid (L1-5). The DNA G + C content of the type strain is 70.3%. The broader range of growth temperature, assimilation of malic acid and trisodium citrate, presence of C18:3ω6c and an unidentified glycolipid and absence of C12:0 2-OH and C16:0iso differentiate strain t3-1-3T from related species. Based on the taxonomic data presented in this study, we suggest that strain t3-1-3T represents a novel species within the genus Azohydromonas, for which the name Azohydromonas aeria sp. nov. is proposed. The type strain of Azohydromonas aeria is t3-1-3T (= CFCC 13393T = LMG 30135T).
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Xu, Na,Lei, Zhen,Li, Xiao-Long,Zhang, Jun,Li, Chen,Feng, Guo-Quan,Li, Di-Nuo,Liu, Jing-Yi,Wei, Qiang,Bian, Ting-Ting,Zou, Tian-Yu Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.1
Objectives: To explore the correlation between multi-slice spiral CT (MSCT) perfusion parameters and the expression of vascular endothelial growth factor (VEGF) as well as matrix metalloproteinase-2 (MMP-2) in breast cancer. Methods: Forty five breast cancer patients and 16 patients with benign breast tumor, both confirmed by pathology examination, were enrolled. All underwent MSCT perfusion imaging to obtain perfusion maps and data for parameters including blood flow (BF), blood volume (BV) and permeability surface (PS). Cancer patients did not receive treatment prior to surgery. The expression of VEGF and MMP-2 were examined with both immunohistochemistry and Western blotting. Results: The levels of VEGF and MMP-2 by immunohistochemistry were significantly higher in the breast cancer group (P < 0.01) than the benign tumor group. Relative OD values from Western blotting were also higher in cancer cases (P < 0.05). Similarly, the mean MSCT perfusion parameters (BF, BV, PS) were significantly higher in the breast cancer group (P < 0.01), BF and BV positively correlating with VEGF expression (r = 0.878 and 0.809 respectively, P < 0.01); PS and VEGF and MMP-2 expression were also positively correlated (r= 0.860, 0.786 respectively, P < 0.01). Conclusion: There is a correlation between breast cancer MSCT perfusion parameters and VEGF andMMP-2 expression, which might be useful for detection of breast lesions, qualitative diagnosis of breast cancer, and evaluation of breast cancer treatment.
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