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6 results on '"Ziqin Wei"'

1. A combination therapy for androgenic alopecia based on quercetin and zinc/copper dual-doped mesoporous silica nanocomposite microneedle patch

Author

Zhaowenbin Zhang, Wenbo Li, Di Chang, Ziqin Wei, Endian Wang, Jing Yu, Yuze Xu, Yumei Que, Yanxin Chen, Chen Fan, Bing Ma, Yanling Zhou, Zhiguang Huan, Chen Yang, Feng Guo, and Jiang Chang

Subjects
Microneedle, Zn2+ and Cu2+ dual-doping, Nanocomposites, Quercetin, Androgenic alopecia, Materials of engineering and construction. Mechanics of materials, TA401-492, Biology (General), QH301-705.5
Abstract

A nanocomposite microneedle (ZCQ/MN) patch containing copper/zinc dual-doped mesoporous silica nanoparticles loaded with quercetin (ZCQ) was developed as a combination therapy for androgenic alopecia (AGA). The degradable microneedle gradually dissolves after penetration into the skin and releases the ZCQ nanoparticles. ZCQ nanoparticles release quercetin (Qu), copper (Cu2+) and zinc ions (Zn2+) subcutaneously to synergistically promote hair follicle regeneration. The mechanism of promoting hair follicle regeneration mainly includes the regulation of the main pathophysiological phenomena of AGA such as inhibition of dihydrotestosterone, inhibition of inflammation, promotion of angiogenesis and activation of hair follicle stem cells by the combination of Cu2+ and Zn2+ ions and Qu. This study demonstrates that the systematic intervention targeting different pathophysiological links of AGA by the combination of organic drug and bioactive metal ions is an effective treatment strategy for hair loss, which provides a theoretical basis for development of biomaterial based anti-hair loss therapy.

Published
2023
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5. Risk management of commodity trade business based on deep learning and parallel processing of visual multimedia big data

Author

Han Zhang and Ziqin Wei

Subjects
Risk analysis, Computer Networks and Communications, Computer science, business.industry, Deep learning, Big data, Commodity, 020207 software engineering, 02 engineering and technology, Risk analysis (engineering), Data model, Hardware and Architecture, Order (exchange), Risk analysis (business), 0202 electrical engineering, electronic engineering, information engineering, Media Technology, Artificial intelligence, business, Software, Risk management
Abstract

In order to solve the problems of low execution efficiency, big data error in risk analysis and high resource consumption in risk management of commodity trade business, this paper designs a feasible and credible risk management scheme of commodity trade business based on in-depth learning and parallel big data processing, combined with visual multimedia scheme. Based on the in-depth study of commodity trade data model, this paper extracts the features of visualized multimedia data of commodity trade business, which ensures that the extracted features adapt to dynamic and changeable diversified business. Then, this paper designs a commodity trade business management platform, which can provide dynamic migration support for the visualized multimedia data of commodity trade business. Therefore, this paper puts forward a management mechanism that can deal with the risks of commodity trade business. Finally, the simulation experiments prove the rationality and advantages of the proposed algorithm in terms of the accuracy of risk analysis, the efficiency of visual multimedia data processing and the effectiveness of commodity trade business management.

Published
2019
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