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Dec 16, 2024 | 
4spepublications.onlinelibrary.wiley.com | Meiyu Liu |Yuncong Feng |Deyong Sun |Yueqing Zhao |Xiaobing Li |Xiaoqiang Li | +1 more
1 INTRODUCTION The BA9916 thermoset resin studied in this paper has great potential to serve as the matrix constituent for the carbon fiber composites applied in the aviation industry, as it is toughened by adding thermoplastic resin.1 Although cured thermoset resins usually exhibit superior tensile, shear and compressive strengths, their performance in damage tolerance is inferior due to the irreversible cross-linking that limits flexibility.2, 3 In contrast, thermoplastic composites show a...
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Dec 3, 2024 | 
arxiv.org | Yifan Wu |Yiwen Xu |Xiaoqiang Li |Weizhong Zhang
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Nov 27, 2024 | 
mdpi.com | Zongxiang Li |Baofeng Cao |Wenjuan Zhang |Xiaoqiang Li
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Oct 21, 2024 | 
pubs.rsc.org | Bingjie Cheng |Xiaoqiang Li |Jun Xiang |Ruqu Han
Construction of a homologous bimetallic oxide Bi2Fe4O9@Bi25FeO40 heterostructure to boost supercapacitor performance†
Herein, a Bi2Fe4O9@Bi25FeO40 heterostructure with a high specific surface area of 30.07 m2 g−1 and abundant heterogeneous interfaces was successfully fabricated and applied to supercapacitors for the first time.
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Oct 21, 2024 | 
onlinelibrary.wiley.com | Lulu Wang |Yao Zhang |Chun Mao |Xiaoqiang Li
1 Introduction Abdominal aortic aneurysm (AAA) is a common cardiovascular condition characterized by abnormal dilation of the abdominal aorta.[1] It is highly prevalent and hazardous,[2] and large AAAs often require surgical intervention.
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Aug 9, 2024 | 
mdpi.com | Yujing Lin |Xiaoqiang Li
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Yujing Lin Yujing Lin Scilit Preprints.org Google Scholar and Xiaoqiang Li Xiaoqiang Li Scilit Preprints.org Google Scholar * School of Computer Engineering and Science, Shanghai University, Shanghai 200444, China *Author to whom correspondence should be addressed. Appl. Sci.
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Jun 10, 2024 | 
preprints.org | Yujing Lin |Xiaoqiang Li
PreprintArticleVersion 1This version is not peer-reviewedVersion 1: Received: 7 June 2024 / Approved: 7 June 2024 / Online: 10 June 2024 (09:20:06 CEST)Lin, Y.; Li, X. Back to the Metrics: Exploration of Distance Metrics in Anomaly Detection. Preprints 2024, 2024060529. https://doi.org/10.20944/preprints202406.0529.v1Lin, Y.; Li, X. Back to the Metrics: Exploration of Distance Metrics in Anomaly Detection. Preprints 2024, 2024060529.
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Jun 5, 2024 | 
mdpi.com | Yi Hou |Xiaoqiang Li |Shengguan Qu |Chenfeng Duan
All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.
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May 24, 2024 | 
mdpi.com | Ying Li |Zhencai Zhu |Xiaoqiang Li
All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.
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Apr 23, 2024 | 
preprints.org | Ying Li |Zhencai Zhu |Xiaoqiang Li
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 20 April 2024 / Approved: 23 April 2024 / Online: 23 April 2024 (10:07:13 CEST) Li, Y.; Zhu, Z.; Li, X. Reinforcement Learning Based Speed Control with Creep Rate Constraints for Autonomous Driving of Mining Electric Locomotives. Preprints 2024, 2024041512. https://doi.org/10.20944/preprints202404.1512.v1 Li, Y.; Zhu, Z.; Li, X.
