Search Results - "Ning Xiao"

Adaptive kriging-based efficient reliability method for structural systems with multiple failure modes and mixed variables by Xiao, Ning-Cong, Yuan, Kai, Zhou, Chengning

“…The reliability analysis of structural systems with multiple failure modes and mixed variables is a critical problem because of complex nonlinear correlations…”
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System reliability analysis based on dependent Kriging predictions and parallel learning strategy by Xiao, Ning-Cong, Yuan, Kai, Zhan, Hongyou

“…•A new reliability method is proposed based on dependent Kriging predictions and parallel learning strategy.•A parallel learning strategy is proposed for…”
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A new reliability method for small failure probability problems by combining the adaptive importance sampling and surrogate models by Xiao, Ning-Cong, Zhan, Hongyou, Yuan, Kai

“…Reliability analysis for structural systems with multiple failure modes and expensive-to-evaluate simulations is challenging. In this paper, a new and…”
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Photoinduced Borylation for the Synthesis of Organoboron Compounds by Tian, Ya-Ming, Guo, Xiao-Ning, Braunschweig, Holger, Radius, Udo, Marder, Todd B

“…Organoboron compounds have important synthetic value and can be applied in numerous transformations. The development of practical and convenient ways to…”
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Rapid detection of low concentration CO using Pt-loaded ZnO nanosheets by Wang, Yan, Meng, Xiao-ning, Cao, Jian-liang

“…[Display omitted] •Pt-loaded ZnO nanosheets were synthesized by a simple one-pot hydrothermal route.•Pt/ZnO-based sensor exhibited remarkably enhanced response…”
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Mathematical modeling and multi-objective evolutionary algorithms applied to dynamic flexible job shop scheduling problems by Shen, Xiao-Ning, Yao, Xin

“…•A new mathematical model for multi-objective dynamic scheduling is constructed.•Novel multi-objective evolutionary rescheduling methods are proposed.•The…”
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Light opens a new window for N-heterocyclic carbene catalysis by Liu, Jing, Xing, Xiao-Ning, Huang, Jin-Hai, Lu, Liang-Qiu, Xiao, Wen-Jing

“…N-Heterocyclic carbenes (NHCs) are efficient Lewis basic catalysts for the umpolung of various polarized unsaturated compounds usually including aldehydes,…”
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Effect of previous SARS-CoV-2 infection on humoral and T-cell responses to single-dose BNT162b2 vaccine by Prendecki, Maria, Clarke, Candice, Brown, Jonathan, Cox, Alison, Gleeson, Sarah, Guckian, Mary, Randell, Paul, Pria, Alessia Dalla, Lightstone, Liz, Xu, Xiao-Ning, Barclay, Wendy, McAdoo, Stephen P, Kelleher, Peter, Willicombe, Michelle

“…Successful phase 3 trial outcomes have been reported for numerous vaccines that induce robust humoral and cellular immune responses against the SARS-CoV-2…”
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A new adaptive sequential sampling method to construct surrogate models for efficient reliability analysis by Xiao, Ning-Cong, Zuo, Ming J., Zhou, Chengning

“…•A new adaptive sequential sampling method is proposed for efficient structural reliability analysis.•Three learning functions are developed for selecting the…”
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Targeting Inflammation and Immunosenescence to Improve Vaccine Responses in the Elderly by Pereira, Branca, Xu, Xiao-Ning, Akbar, Arne N

“…One of the most appreciated consequences of immunosenescence is an impaired response to vaccines with advanced age. While most studies report impaired antibody…”
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A broadband achromatic metalens array for integral imaging in the visible by Fan, Zhi-Bin, Qiu, Hao-Yang, Zhang, Han-Le, Pang, Xiao-Ning, Zhou, Li-Dan, Liu, Lin, Ren, Hui, Wang, Qiong-Hua, Dong, Jian-Wen

“…Integral imaging is a promising three-dimensional (3D) imaging technique that captures and reconstructs light field information. Microlens arrays are usually…”
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A hybrid approach based on deep neural network and double exponential model for remaining useful life prediction by Liang, Junyuan, Liu, Hui, Xiao, Ning-Cong

“…To enhance RUL prediction accuracy and uncertainty quantification, numerous methods have been developed, including model-based, data-driven, and hybrid…”
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Time-dependent reliability analysis of structural systems based on parallel active learning Kriging model by Zhan, Hongyou, Liu, Hui, Xiao, Ning-Cong

“…Time-dependent reliability analysis quantifies the failures of structural systems due to time-dependent uncertainties, such as material degradation and dynamic…”
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A discrete shuffled frog-leaping algorithm based on heuristic information for traveling salesman problem by Huang, Yao, Shen, Xiao-Ning, You, Xuan

“…A discrete shuffled frog-leaping algorithm based on heuristic information is proposed and the traveling salesman problem is used as a test problem. First, a…”
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The MBNL3 splicing factor promotes hepatocellular carcinoma by increasing PXN expression through the alternative splicing of lncRNA-PXN-AS1 by Yuan, Ji-hang, Liu, Xiao-ning, Wang, Tian-tian, Pan, Wei, Tao, Qi-fei, Zhou, Wei-ping, Wang, Fang, Sun, Shu-han

“…Understanding the roles of splicing factors and splicing events during tumorigenesis would open new avenues for targeted therapies. Here we identify an…”
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Realistic neutron star models in f(T) gravity by Lin, Rui-Hui, Chen, Xiao-Ning, Zhai, Xiang-Hua

“…We investigate the nonrotating neutron stars in f ( T ) gravity with f ( T ) = T + α T 2 , where T is the torsion scalar in the teleparallel formalism of…”
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Visible-Light-Driven Selective Photocatalytic Hydrogenation of Cinnamaldehyde over Au/SiC Catalysts by Hao, Cai-Hong, Guo, Xiao-Ning, Pan, Yung-Tin, Chen, Shuai, Jiao, Zhi-Feng, Yang, Hong, Guo, Xiang-Yun

“…Highly selective hydrogenation of cinnamaldehyde to cinnamyl alcohol with 2-propanol was achieved using SiC-supported Au nanoparticles as photocatalyst. The…”
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Collapsing dust thin shells in Einstein–Gauss–Bonnet gravity by Huang, Yong-Ming, Tian, Yu, Wu, Xiao-Ning

“…We investigate gravitational collapse of a spherically symmetric thin shell in the Einstein–Gauss–Bonnet (EGB) gravity. Under the recently proposed 4D limit,…”
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Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer by Wang, Jing, Wu, Chen-Jiang, Bao, Mei-Ling, Zhang, Jing, Wang, Xiao-Ning, Zhang, Yu-Dong

“…Objective To investigate whether machine learning-based analysis of MR radiomics can help improve the performance PI-RADS v2 in clinically relevant prostate…”
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System reliability analysis by combining structure function and active learning kriging model by Yuan, Kai, Xiao, Ning-Cong, Wang, Zhonglai, Shang, Kun

“…•An efficient system reliability analysis method is proposed by combining structure function and active learning kriging model.•The point with the highest…”
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