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849 results on '"Liu, Qingping"'

104. 3D printed aluminum matrix composites with well-defined ordered structures of shear-induced aligned carbon fibers

Author

Yunhong Liang, Han Wu, Zhaohua Lin, Zhihui Zhang, and Liu Qingping

Subjects
3d printed, Materials science, business.industry, Materials Science (miscellaneous), 3D printing, chemistry.chemical_element, Microstructure, Shear (sheet metal), chemistry, Mechanics of Materials, Aluminum matrix composites, Aluminium, Chemical Engineering (miscellaneous), Composite material, Elongation, Well-defined, business
Abstract

Carbon fiber reinforced aluminum composites with ordered architectures of shear-induced aligned carbon fibers were fabricated by 3D printing. The microstructures of the printed and sintered samples and mechanical properties of the composites were investigated. Carbon fibers and aluminum powder were bonded together with resin. The spatial arrangement of the carbon fibers was fixed in the aluminum matrix by shear-induced alignment in the 3D printing process. As a result, the elongation of the composites with a parallel arrangement of aligned fibers and the impact toughness of the composites with an orthogonal arrangement were 0.82% and 0.41 ​J/cm2, respectively, about 0.4 and 0.8 times higher than that of the random arrangement.

Published
2022

107. Comprehensive Analysis of lncRNA–mRNA Expression Profiles in Depression-like Responses of Mice Related to Polystyrene Nanoparticle Exposure

Author

Liu, Qingping, primary, Hu, Wentao, additional, Zhang, Yaling, additional, Ning, Jie, additional, Pang, Yaxian, additional, Hu, Huaifang, additional, Chen, Meiyu, additional, Wu, Mengqi, additional, Wang, Mengruo, additional, Yang, Peihao, additional, Bao, Lei, additional, Niu, Yujie, additional, and Zhang, Rong, additional

Published
2023
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112. Evaluation of Myocilin Variant Protein Structures Modeled by AlphaFold2.

Author

Ng, Tsz Kin, Ji, Jie, Liu, Qingping, Yao, Yao, Wang, Wen-Ying, Cao, Yingjie, Chen, Chong-Bo, Lin, Jian-Wei, Dong, Geng, Cen, Ling-Ping, Huang, Chukai, and Zhang, Mingzhi

Subjects
PROTEIN structure, AMINO acid sequence, PROTEIN models, LIGAND binding (Biochemistry), BINDING sites
Abstract

Deep neural network-based programs can be applied to protein structure modeling by inputting amino acid sequences. Here, we aimed to evaluate the AlphaFold2-modeled myocilin wild-type and variant protein structures and compare to the experimentally determined protein structures. Molecular dynamic and ligand binding properties of the experimentally determined and AlphaFold2-modeled protein structures were also analyzed. AlphaFold2-modeled myocilin variant protein structures showed high similarities in overall structure to the experimentally determined mutant protein structures, but the orientations and geometries of amino acid side chains were slightly different. The olfactomedin-like domain of the modeled missense variant protein structures showed fewer folding changes than the nonsense variant when compared to the predicted wild-type protein structure. Differences were also observed in molecular dynamics and ligand binding sites between the AlphaFold2-modeled and experimentally determined structures as well as between the wild-type and variant structures. In summary, the folding of the AlphaFold2-modeled MYOC variant protein structures could be similar to that determined by the experiments but with differences in amino acid side chain orientations and geometries. Careful comparisons with experimentally determined structures are needed before the applications of the in silico modeled variant protein structures. [ABSTRACT FROM AUTHOR]

Published
2024
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120. Biomimetic Water-Responsive Helical Actuators for Space-Efficient and Adaptive Robotic Grippers

Author

Zhao, Che, Liu, Jinglong, Duan, Lei, Lan, Rui, Yu, Xiaobo, Hua, Hongliang, Zhou, Chao, Liu, Qingping, and Xu, Chao

Abstract

Traditional robotic grippers encounter significant challenges when handling small objects in confined spaces, underscoring the need for innovative instruments with enhanced space efficiency and adaptability. Erodium cicutarium awns have evolved hygroresponsive helical deformation, efficiently driving seeds into soil crevices with limited space utilization. Drawing inspiration from this natural mechanism, we developed a biomimetic thin-walled actuator with water-responsive helical capabilities. It features a composite material structure comprising common engineering materials with low toxicity. Leveraging fused deposition modeling 3D printing technology and the composite impregnation process, the actuator’s manufacturing process is streamlined and cost-effective, suitable for real-world applications. Then, a mathematical model is built to delineate the relationship between the biomimetic actuator’s key structural parameters and deformation characteristics. The experimental results emphasize the actuator’s compact dimension (0.26 mm thickness) and its capability to form a helical tube under 5 mm diameter within 60 s, demonstrating outstanding space efficiency. Moreover, helical characteristics and stiffness of the biomimetic actuators are configurable through precise modifications to the composite material structure. Consequently, it is capable of effectively grasping an object smaller than 3 mm. The innovative mechanism and design principles hold promise for advancing robotic technology, particularly in fields requiring high space efficiency and adaptability, such as fine tubing decongestion, underwater sampling, and medical endoscopic surgery.

Published
2024
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130. Additional file 1 of Triglyceride-glucose index, symptomatic intracranial artery stenosis and recurrence risk in minor stroke patients with hypertension

Author

Wang, Yongle, Liu, Tingting, Li, Yanan, Zhang, Kaili, Fan, Haimei, Ren, Jing, Li, Juan, Li, Yali, Li, Xinyi, Wu, Xuemei, Wang, Junhui, Xue, Lixi, Gao, Xiaolei, Yan, Yuping, Li, Gaimei, Liu, Qingping, Niu, Wenhua, Du, Wenxian, Liu, Yuting, and Niu, Xiaoyuan

Abstract

Additional file 1: Table S1. Frequency and percentage of missing variables. Table S2. Baseline characteristics of patients included and excluded due to missing data of TG, FBG and intracranial artery imaging. Table S3. Baseline characteristics of patients with or without sICAS. Table S4. Univariate logistic regression analysis of risk factors associated with sICAS. Table S5. Univariate linear regression analysis of risk factors associated with ICASB. Table S6. Subgroup analysis between TyG index and the degree of sICAS. Table S7. Univariate Cox regression analysis of risk factors associated with ischemic stroke recurrence. Table S8. Sensitivity analysis after multiple imputation of variates with missing values. Table S9. Interaction effect on stroke recurrence between TyG and sICAS. Table S10. The value of TyG improved the risk stratification of stroke recurrence according to continuous-NRI and IDI. Figure S1. Pattern of missing data. Figure S2. Distribution of arteries responsible for sICAS. Figure S3. Association between responsible sICAS arteries and TyG. Figure S4. Contour plots reflecting the effect of age, BMI, and blood pressure on the relationship between TyG and sICAS. Figure S5. X-tile analyses of TyG optimal cutoff value. Figure S6. Combined effect of TyG and burden of ICAS on ischemic stroke recurrence. Figure S7. IDI plot.

Published
2023
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132. Investigate on mechanism of nanofluid drainage gas recovery in tight gas reservoir

Author

Qin Guowei, Sun Saisai, Qin Wenlong, Liu Qingping, Wu Mei, Zhang Beilei, and Zheng Yanzhao

Subjects
Contact angle, Mechanism (engineering), Fuel Technology, Nanofluid, Materials science, Petroleum engineering, General Chemical Engineering, Energy Engineering and Power Technology, General Chemistry, Drainage, Geotechnical Engineering and Engineering Geology, Tight gas
Abstract

Conventional drainage gas recovery and water-controlled gas recovery technologies are difficult to meet the needs of tight gas reservoirs. In order to solve this problem, nanofluid for drainage gas...

Published
2021

135. Attenuated T cell activation and rearrangement of T cell receptor β repertoire in silica nanoparticle-induced pulmonary fibrosis of mice

Author

Bao, Lei, primary, Geng, Zihan, additional, Wang, Juan, additional, He, Liyi, additional, Kang, Aijuan, additional, Song, Jianshi, additional, Huang, Xiaoyan, additional, Zhang, Yaling, additional, Liu, Qingping, additional, Jiang, Tao, additional, Pang, Yaxian, additional, Niu, Yujie, additional, and Zhang, Rong, additional

Published
2022
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138. Effects of ambient PM2.5 on development of psoriasiform inflammation through KRT17-dependent activation of AKT/mTOR/HIF-1α pathway

Author

Wang, Xueliang, primary, Niu, Linpeng, additional, Kang, Aijuan, additional, Pang, Yaxian, additional, Zhang, Yaling, additional, Wang, Wenqing, additional, Zhang, Yan, additional, Huang, Xiaoyan, additional, Liu, Qingping, additional, Geng, Zihan, additional, He, Liyi, additional, Niu, Yujie, additional, and Zhang, Rong, additional

Published
2022
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140. Experimental Optimization of Bionic Dimpled Surfaces on Axisymmetric Bluff Bodies for Drag Reduction

Author

Zhang, Chengchun, Ren, Luquan, Han, Zhiwu, Liu, Qingping, Gladwell, G. L. M., editor, Moreau, R., editor, Engelbrecht, J., editor, Freund, L. B., editor, Kluwick, A., editor, Moffatt, H. K., editor, Olhoff, N., editor, Tsutomu, K., editor, van Campen, D., editor, Zheng, Z., editor, Morrison, J. F., editor, Birch, D. M., editor, and Lavoie, P., editor

Published
2008
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