Výsledky vyhledávání - "NIE, Haifeng"

Akademický článek

Effects of Preformed Composition and Pore Size on Microstructure and Properties of SiC f /SiC Composites via Reactive Melt Infiltration.

Autor: Nie, Haifeng^1,2,3 (AUTHOR) niehaifeng@nimte.ac.cn, Si, Pingzhan¹ (AUTHOR) pzsi@cjlu.edu.cn, Ren, Quanxing^2,3 (AUTHOR) yinziqiang@nimte.ac.cn, Yin, Ziqiang^2,3 (AUTHOR) zhrhuang@nimte.ac.cn, Cao, Tihao^2,3 (AUTHOR) huangqing@nimte.ac.cn, Huang, Zhengren^2,3,4,5 (AUTHOR), Huang, Qing^2,3,4,5 (AUTHOR), Li, Yinsheng^2,3,4,5 (AUTHOR) liyinsheng@nimte.ac.cn

Publikováno v: Materials (1996-1944). Dec2024, Vol. 17 Issue 23, p5765. 13p.

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Akademický článek

Organophosphate flame retardants tris (2-butoxyethyl) phosphate (TBEP) and tris (2-chloroethyl) phosphate (TCEP) disrupt human motor neuron development by differentially affecting their survival and differentiation

Autor: Zheng, Yuanyuan, Li, Xinyu, Nie, Haifeng, Zhang, Fangrong, Xun, Jiali, Xu, Shengmin, Wu, Lijun

Publikováno v: In Science of the Total Environment 20 October 2024 948

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Knee Point Identification Based on Trade-Off Utility

Autor: Li, Ke, Nie, Haifeng, Gao, Huifu, Yao, Xin

Knee points, characterised as their smallest trade-off loss at all objectives, are attractive to decision makers in multi-criterion decision-making. In contrast, other Pareto-optimal solutions are less attractive since a small improvement on one obje

Externí odkaz: http://arxiv.org/abs/2005.11600

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Akademický článek

Construction of an image recognition algorithm based on neurite outgrowth of human motor neurons and its application in toxicological evaluation

Autor: DAI Zhiyuan, ZHENG Yuanyuan, ZHANG Fangrong, NIE Haifeng, LI Xinyu

Publikováno v: 陆军军医大学学报, Vol 45, Iss 12, Pp 1311-1319 (2023)

Objective To develop an MATLAB algorithm for the automated measurement of motor neuron (MN) neurites and apply this algorithm to evaluate the organophosphate flame retardant tris (2-chloroethyl) phosphate (TCEP) on the growth of MN neurites. Methods

Externí odkaz: https://doaj.org/article/2a04f193a7784d8f9c5e9d37dac10446

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Visualisation of Pareto Front Approximation: A Short Survey and Empirical Comparisons

Autor: Gao, Huiru, Nie, Haifeng, Li, Ke

Visualisation is an effective way to facilitate the analysis and understanding of multivariate data. In the context of multi-objective optimisation, comparing to quantitative performance metrics, visualisation is, in principle, able to provide a deci

Externí odkaz: http://arxiv.org/abs/1903.01768

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