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      • KCI등재

        Study of the Correlation of Plasma Resonance and the Refractive Index to Dielectric Dispersion in the Complex Plane

        Xiao-Yong Zhou,Yan Shen,Er-Tao Hu,Jian-Bo Chen,Yuan Zhao,Ming-Yu Sheng,Jing Li,Yu-Xiang Zheng,Hai-Bin Zhao,Liang-Yao Chen,Wei Li,Xun-Ya Jiang,이영백,David W. Lynch 한국광학회 2013 Current Optics and Photonics Vol.17 No.1

        Based on the dispersive feature of the dielectric function of noble metals and the wave vector conservation in physics, both the plasma effect and the complex refractive index, which are profoundly correlated to the complex dielectric function and permeability, have been studied and analyzed. The condition to induce a bulk or a surface plasma in the visible region will not be satisfied, and there will be one solution for the real and the imaginary parts of the refractive index, restricting it only to region I of the complex plane. The results given in this work will aid in understanding the properties of light transmission at the metal/dielectric interface as characterized by the law of refraction in nature.

      • KCI등재

        Associations among Genetic Variants and Intracranial Aneurysm in a Chinese Population

        Bingyang Li,Chongyu Hu,Junyu Liu,Xin Liao,Jiayu Xun,Manqian Xiao,Junxia Yan 연세대학교의과대학 2019 Yonsei medical journal Vol.60 No.7

        Purpose: Genome-wide association studies (GWAS) have revealed that common variants on or near EDNRA, HDAC9, SOX17,RP1, CDKN2B-AS1, and RBBP8 genes are associated with intracranial aneurysm (IA) in European or Japanese populations. However,due to population heterogeneity, whether these loci are associated with IA pathogenesis in Chinese individuals is still unknown. The purpose of this study was to investigate associations among GWAS-identified loci and risk of IA in a Chinese population. Materials and Methods: A total of 765 individuals (including 230 IA patients and 535 controls) were involved in this study. Twelvesingle nucleotide polymorphisms (SNPs) of candidate loci were genotyped using the Sequenom MassARRAY platform. Associationswere analyzed using univariate or multivariate logistic regression analysis. Results: SNPs in CDKN2B-AS1 (especially rs10757272) showed significant associations with IA in dominant and additive models[odds ratio (OR), 2.99 and 1.43; 95% confidence interval (CI), 1.44–6.24 and 1.10–1.86, respectively]. A SNP near HDAC9 (rs10230207)was associated with IA in the dominant model (OR, 1.42; 95% CI, 1.01–1.99). One SNP near RP1 (rs1072737) showed a protectiveeffect on IA in the dominant model (OR, 0.66; 95% CI, 0.46–0.95), while another SNP in RP1 (rs9298506) showed a risk effect onIA in a recessive model (OR, 3.82; 95% CI, 1.84–7.91). No associations were observed among common variants near EDNRA,SOX17, or RBBP8 and IA. Conclusion: These data partially confirmed earlier results and showed that variants in CDKN2B-AS1, RP1, and HDAC9 could begenetic susceptibility factors for IA in a Chinese population.

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        Self-Adaptive Power Flow Optimization Method for Multi-Terminal SNOP Considering the Difference of Risk of Node Voltage beyond Limit

        Yiming Xu,Zhiqiang Wang,Zheng Fang,Sichao Xun,Guirong Hu,Yusheng Shen,Hongyi Xiao,Dongning Wu 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.5

        Soft Normally Open Point (SNOP) is a power electronic device used widely in power distribution network. It can solve many problems by adjusting reactive power compensation and active power transmission. The uncertainty and fluctuation of distributed generation (DG) may cause many problems to the distribution network. In order to balance the safety and economy in power flow optimization better, a self-adaptive power flow optimization method for active distribution network with multi-terminal SNOP considering difference of the risk of node voltage beyond limit is put forward. It takes both weighted voltage deviation and the network loss into objective function to construct the optimal operation model and mainly has two improvements: one is considering initial voltage deviation and real-time penetration of the DG to establish the self-adaptive weight model of the sum of voltage deviation in the objective function; the other is putting forward the weighting strategy for node voltage deviation which decided by the electrical distance, DG position and correlation between source output and load. Then, taking three improved IEEE33 node feeders as an example to verify the validity of the strategy. The results validate that the self-adaptive strategy can reduce the loss and improve the regulation of voltage better and is useful in distribution network under different penetration

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        Predictive Significance of Claudin-3 for Epithelial Barrier Dysfunction in Chronic Rhinosinusitis With Nasal Polyps

        Huang Zhi-Qun,Ye Jing,Liu Jing,Sun Li-Ying,Ong Hsiao Hui,Wei Yong-Hao,Fu Shu-Cai,Hu Xiao-Xun,Xu Yu,Wang De-Yun 대한천식알레르기학회 2023 Allergy, Asthma & Immunology Research Vol.15 No.4

        Purpose: The abnormal expression of tight junction (TJ) plays a vital role in the pathogenesis of chronic rhinosinusitis with nasal polyps (CRSwNP). However, there is no appropriate tool to distinguish and diagnose epithelial barrier defects in clinical practice. This study aimed to evaluate the predictive value of claudin-3 for epithelial barrier dysfunction in CRSwNP. Methods: In this study, TJ protein levels were evaluated by real-time quantitative polymerase chain reaction, immunofluorescent, and immunohistochemistry staining in control subjects and CRSwNP patients. The receiver operating characteristic (ROC) curve was created to assess the predictive value of TJ breakdown in clinical outcomes. In vitro, human nasal epithelial cells were cultured at the air-liquid interface to analyze the transepithelial electrical resistance (TER) level. Results: The expression levels of occludin, tricellulin, claudin-3, and claudin-10 were decreased (all P < 0.05), and those of claudin-1 was increased (P < 0.05) in CRSwNP patients as compared to healthy subjects. Additionally, claudin-3 and occludin levels were negatively correlated with the computed tomography score in CRSwNP (all P < 0.05), and the ROC curve indicated that the claudin-3 level had the most predictive accuracy in evaluating epithelial barrier disruption (area under the curve = 0.791, P < 0.001). Finally, the time-series analysis showed the highest correlation coefficient between TER and claudin-3 (cross-correlation function = 0.75). Conclusion: In this study, we suggest that claudin-3 could be a valuable biomarker for predicting nasal epithelial barrier defects and disease severity in CRSwNP.

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