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        A missense variant in NCF1 is associated with susceptibility to multiple autoimmune diseases

        Zhao, Jian,Ma, Jianyang,Deng, Yun,Kelly, Jennifer A,Kim, Kwangwoo,Bang, So-Young,Lee, Hye-Soon,Li, Quan-Zhen,Wakeland, Edward K,Qiu, Rong,Liu, Mengru,Guo, Jianping,Li, Zhanguo,Tan, Wenfeng,Rasmussen, Nature Pub. Co 2017 Nature genetics Vol.49 No.3

        <P>Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease with a strong genetic component characterized by autoantibody production and a type 1 interferon signatures. Here we report a missense variant (g.74779296G>A; p.Arg90His) in NCF1, encoding the p47phox subunit of the phagocyte NADPH oxidase (NOX2), as the putative underlying causal variant that drives a strong SLE-associated signal detected by the lmmunochip in the GTF2IRD1-GTF2I region at 7q11.23 with a complex genomic structure. We show that the p.Arg90His substitution, which is reported to cause reduced reactive oxygen species (ROS) production(2), predisposes to SLE (odds ratio (OR) = 3.47 in Asians (P-meta = 3.1 x 10(-104)), OR = 2.61 in European Americans, OR = 2.02 in African Americans) and other autoimmune diseases, including primary Sjogren's syndrome (OR = 2.45 in Chinese, OR = 2.35 in European Americans) and rheumatoid arthritis (OR = 1.65 in Koreans). Additionally, decreased and increased copy numbers of NCF1 predispose to and protect against SLE, respectively. Our data highlight the pathogenic role of reduced NOX2-derived ROS levels in autoimmune diseases.</P>

      • KCI등재

        Effect of Polyacrylamide on Rheological Properties of Underwater Non-dispersible Paste of Alkali-Activated Slag

        Zhongzhe Zhang,Yongsheng Ji,Zhanguo Ma,Furong Gao,Mingming Ma,Zhishan Xu 대한토목학회 2022 KSCE Journal of Civil Engineering Vol.26 No.1

        In this paper, the rheological parameters of the alkali-activated slag underwater non-dispersible paste (AAS-UNDP) were tested, and the influence of polyacrylamide (PAM) on the rheological property of AAS-UNDP was studied combing with the method of molecular dynamics simulation. The experimental results show that the rheological model of AAS-UNDP and cement basted underwater non-dispersible paste (CB-UNDP) are consistent with the Herschel-Bulkley model. The results of molecular dynamics simulation show that the anions in PAM and the OH- alkali-activated slag cementitious material (AASCM) can produce repulsive force, so the potential energy of the AASCM is lower than the potential energy of the cement based cementitious material (CBCM).The mean square displacement (MSD) value and self-diffusion coefficient of PAM in the AASCM are higher than those of CBCM, indicating that the diffusion rate of particles in the AASCM is better than that of CBCM.

      • KCI등재

        Effect of Composite Modification of Nickel Slag Powder and Polypropylene Fiber on Mechanical Properties of MKPC Mortar

        Zhongzhe Zhang,Yongsheng Ji,Zhanguo Ma,Zhishan Xu,Furong Gao,Qi Xue 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.4

        In order to explore the influence of nickel slag powder (Ni) and polypropylene fiber (PP) on the performance of MPKC mortar, different mass fractions of Ni (5% − 20%) and different volume fractions (0.6% and 1.0%) of PP were added to MKPC. The composite modified MKPC (CM-MKPC) specimens were tested and analyzed for flexural strength, compressive strength, split tensile strength, and bending performance. With the help of scanning electron microscope, the microstructure and fracture morphology of the modified MKPC specimens for related research. The results show that the addition of PP and Ni improves the mechanical properties of MKPC and improves its flexibility and deformation properties. When the content of Ni and volume of PP are 15% and 1.0%, respectively, the mechanical properties and bending properties of the modified MKPC mortar are the largest in the same group. Ni added to the MKPC gel system can reduce the friction between irregular magnesium oxide particles and between aggregates. In this way, PP fiber can well enter into the aggregate and play a bridging role at the interface, so that MKPC can better play its mechanical properties.

      • KCI등재

        Plastic Deformation Mechanism of Ductile Fe50Ni30P13C7 Metallic Glass

        Kangkang Geng,Weiming Yang,Jinyong Mo,Haishun Liu,Feng Wei,Zhanguo Ma,Yucheng Zhao,Akihisa Inoue 대한금속·재료학회 2019 METALS AND MATERIALS International Vol.25 No.2

        Shear band (SB) multiplication is considered as an essential characteristic of the plastic deformation in metallic glasses(MGs). In this work, the evolutionary characteristics of SBs and serrated behavior in ductile Fe50Ni30P13C7MGs werestudied by the finite element method simulation. The study demonstrated that the stress field would redistribute and becomeinhomogeneous during SB sliding, where the stress perpendicular to the original SB gradually accumulates until reachingthe magnitude of yielding strength and triggering new SBs. The results of simulation are in good agreement with the SBsintersection morphologies observed in SEM images and the serration flows on the stress–strain curves. Furthermore, severalfactors affecting stress field distribution in MGs, such as contact friction, aspect ratio, and boundary confinement, werealso analyzed and discussed. The overall results indicate that the ductility of Fe-based MGs could be achieved without anyinhomogeneous structure, and scientifically explicate the dependence of SB multiplication on both material properties andloading condition, which can provide us with a deeper understanding on plastic deformation mechanism of MGs.

      • Towards high-accuracy data modelling, uncertainty quantification and correlation analysis for SHM measurements during typhoon events using an improved most likely heteroscedastic Gaussian process

        Qi’ang Wang,Zhi-Jun Liu,Hao-Bo Wang,Zhanguo Ma,Yi-Qing Ni,Jian Jiang,Rui Sun,Hao-Wei Zhu 국제구조공학회 2023 Smart Structures and Systems, An International Jou Vol.32 No.4

        Data modelling and interpretation for structural health monitoring (SHM) field data are critical for evaluating structural performance and quantifying the vulnerability of infrastructure systems. In order to improve the data modelling accuracy, and extend the application range from data regression analysis to out-of-sample forecasting analysis, an improved most likely heteroscedastic Gaussian process (iMLHGP) methodology is proposed in this study by the incorporation of the outof- sample forecasting algorithm. The proposed iMLHGP method overcomes this limitation of constant variance of Gaussian process (GP), and can be used for estimating non-stationary typhoon-induced response statistics with high volatility. The first attempt at performing data regression and forecasting analysis on structural responses using the proposed iMLHGP method has been presented by applying it to real-world filed SHM data from an instrumented cable-stay bridge during typhoon events. Uncertainty quantification and correlation analysis were also carried out to investigate the influence of typhoons on bridge strain data. Results show that the iMLHGP method has high accuracy in both regression and out-of-sample forecasting. The iMLHGP framework takes both data heteroscedasticity and accurate analytical processing of noise variance (replace with a point estimation on the most likely value) into account to avoid the intensive computational effort. According to uncertainty quantification and correlation analysis results, the uncertainties of strain measurements are affected by both traffic and wind speed. The overall change of bridge strain is affected by temperature, and the local fluctuation is greatly affected by wind speed in typhoon conditions.

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