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- 저자 : Huiyang Huang (검색결과 2 건)
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Hua Huang,Huiyang Huang,Runlan Guo,Qianzhi Pang 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.11
The self-healing of resin mineral composites by adding microcapsules has been widely used. However, it is difficult to determine the proportion of microcapsule to obtain the optimal self-healing performance because of the contradictory characteristics between the selfhealing efficiency and elastic modulus of composites. To address this problem, this study proposes a novel method to optimize the proportion of microcapsule under the constraints of engineering design requirements. The results show that (1) the damage evolution of self-healing resin mineral composites with microcapsule can be divided into four processes: damage accumulation, bond interface crack appearing, matrix crack appearing and fracture surface formation. (2) The position of aggregate has little effect on the mechanical properties of the overall composites structure, but it plays a decisive role in the distribution and size of cracks. (3) The relationship between the self-healing efficiency and the proportion of microcapsule is a nonlinear positive correlation, but the elastic modulus is a nonlinear negative correlation with the proportion of microcapsule. (4) The optimization results show that the optimal microcapsule proportion of a resin mineral composite machine tool is 1.68 %; at this time the mechanical properties of the material are reduced by 2.9 % and the self-healing efficiency is 25.38 %. The results provide a reference for the damage performance research and engineering design of microcapsule self-healing composites.
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Shuyin Ma,Meijuan Zhang,Huiyang Qu,Yuxuan Cheng,Shuang Du,Jiaxin Fan,Qingling Yao,Xiao Dong Zhang,Mengying Chen,Nan Zhang,Kaili Shi,Yizhou Huang,Shuqin Zhan 대한신경과학회 2022 Journal of Clinical Neurology Vol.18 No.1
Background and Purpose Collateral circulation is considered an important factor affecting the risk of stroke, but the factors that affect collateral circulation remain unclear. This study was performed to identify the factors associated with collateral circulation, especially blood lipids. Methods The study involved patients who had undergone digital subtraction angiography and were confirmed as having severe unilateral stenosis or occlusion of the internal carotid artery (ICA). We classified the collateral circulation status of each patient as good (Grade 3 or 4) or poor (Grade 0, 1, or 2) according to the grading system of the American Society of Interventional and Therapeutic Neuroradiology/American Society of Interventional Radiology. We collected data on patients’ characteristics and identified the factors that affect collateral circulation. Results This study included 212 patients. The multivariate logistic regression analysis showed that the high-density lipoprotein cholesterol (HDL-C) concentration and a complete anterior half of the circle of Willis were independent protective factors for good collateral circulation, whereas elevated lipoprotein(a) [Lp(a)] and serum creatinine concentrations were independent risk factors for good collateral circulation. The area under the receiver operating characteristics curve (AUC) was 0.68 (95% confidence interval [CI], 0.61–0.76) for HDL-C and 0.69 (95% CI, 0.62–0.76) for Lp(a). A binary logistic regression model analysis of the joint factor of HDL-C and Lp(a) yielded an AUC of 0.77 (95% CI, 0.71–0.84). Conclusions In patients with severe unilateral ICA stenosis or occlusion, the combination of HDL-C and Lp(a) is a useful predictor of collateral circulation.
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