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Akademický článek

Exploring the improvement path of virtual simulation experiments: based on the influencing factors and mediating effects of learning satisfaction

Autor: Qingqing Liang, Haozhen Wu, Yibiao Yuan

Publikováno v: BMC Medical Education, Vol 24, Iss 1, Pp 1-13 (2024)

Abstract Background Virtual simulation experiment is a vital component of higher education digitalization, emerging from the deep integration of specialty disciplines and information technology. Chinese universities have invested heavily in the const

Externí odkaz: https://doaj.org/article/38edebb0ce134ff28fe7488ac05895b1

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Akademický článek

Control of a Robotic Arm With an Optimized Common Template-Based CCA Method for SSVEP-Based BCI

Autor: Fang Peng, Ming Li, Su-na Zhao, Qinyi Xu, Jiajun Xu, Haozhen Wu

Publikováno v: Frontiers in Neurorobotics, Vol 16 (2022)

Recently, the robotic arm control system based on a brain-computer interface (BCI) has been employed to help the disabilities to improve their interaction abilities without body movement. However, it's the main challenge to implement the desired task

Externí odkaz: https://doaj.org/article/f532524b793b4fc3b0417907da51d639

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Akademický článek

COMPETENCE OF COORDINATION IN LOWER LIMBS OF CHILDREN AGED 3-6: CLUES FROM THEIR BACKWARD WALKING.

Autor: Jin ZHOU^1,2, Haozhen WU¹, Mingyu HU¹, Wuyong CHEN¹, Jianxin WU², Bo XU¹ 228447319@qq.com

Publikováno v: Leather & Footwear Journal / Revista de Pielarie Incaltaminte. 2018, Vol. 18 Issue 2, p83-92. 10p.

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Competence of coordination in lower limbs of children aged 3-6: clues from their backward walking

Autor: Haozhen Wu, Bo Xu, Jin Zhou, Jianxin Wu, Wuyong Chen, Mingyu Hu

Publikováno v: Leather and Footwear Journal. 18:83-92

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d958138a941f782dd6eb6e59d8c76a0
https://doi.org/10.24264/lfj.18.2.2

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Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening

Autor: Lauren A. Michael, Michael A. Newton, Haozhen Wu, Huikun Zhang, Scott A. Wildman, F. Michael Hoffmann, Spencer S. Ericksen

Publikováno v: Journal of Chemical Information and Modeling. 57:1579-1590

In structure-based virtual screening, compound ranking through a consensus of scores from a variety of docking programs or scoring functions, rather than ranking by scores from a single program, provides better predictive performance and reduces targ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3e5d743cacf6d3111b39e6e69e56fa60
https://doi.org/10.1021/acs.jcim.7b00153

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Akademický článek

Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening.

Autor: Ericksen, Spencer S., Haozhen Wu, Huikun Zhang, Michael, Lauren A., Newton, Michael A., Hoffmann, F. Michael, Wildman, Scott A.

Publikováno v: Journal of Chemical Information & Modeling; Jul2017, Vol. 57 Issue 7, p1579-1590, 12p

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