Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Yingchao Yu"'
Publikováno v:
IEEE Access, Vol 8, Pp 198668-198678 (2020)
As one of the most widely used technologies in software testing, fuzzing technology has been applied to network protocol vulnerability detection, and various network protocol fuzzers have been proposed. In this study, we first analyze and summarize s
Externí odkaz:
https://doaj.org/article/a18b2fb9c2614efda570556517eca8c9
Autor:
Na Sai, Xiaoxv Dong, Pingqing Huang, Longtai You, Chunjing Yang, Yi Liu, Wenping Wang, Huimin Wu, Yingchao Yu, Yuanyuan Du, Xin Leng, Xingbin Yin, Changhai Qu, Jian Ni
Publikováno v:
Molecules, Vol 25, Iss 1, p 81 (2019)
Curcumin (Cur) is a naturally hydrophobic polyphenol with potential pharmacological properties. However, the poor aqueous solubility and low bioavailability of curcumin limits its ocular administration. Thus, the aim of this study was to prepare a mi
Externí odkaz:
https://doaj.org/article/984c618c4ee342f49438c428db080e13
Autor:
Gongsen Chen, Juyuan Luo, Mengru Cai, Liuying Qin, Yibo Wang, Lili Gao, Pingqing Huang, Yingchao Yu, Yangming Ding, Xiaoxv Dong, Xingbin Yin, Jian Ni
Publikováno v:
Molecules, Vol 24, Iss 18, p 3369 (2019)
Oridonin (ORI) is a natural active ingredient with strong anticancer activity. But its clinical use is restricted due to its poor water solubility, short half-life, and low bioavailability. The aim of this study is to utilize the metal organic framew
Externí odkaz:
https://doaj.org/article/c2bc1ab9d3d94cb1a6eea2d087a72195
Publikováno v:
Journal on Internet of Things. 4:1-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3544f2ee4d66d1484304fad270408983
https://doi.org/10.32604/jiot.2022.019469
https://doi.org/10.32604/jiot.2022.019469
Publikováno v:
Proceedings of the 5th International Conference on Computer Science and Application Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f91029e86a787a759ef83c09980c613
https://doi.org/10.1145/3487075.3487124
https://doi.org/10.1145/3487075.3487124
Publikováno v:
2021 IEEE Symposium on Computers and Communications (ISCC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff2ecd10fd3e32da1fdb8ddd7cc0f3b3
https://doi.org/10.1109/iscc53001.2021.9631481
https://doi.org/10.1109/iscc53001.2021.9631481
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
We report the addition of Fe or Ni to Pd:M electrocatalysts supported on Vulcan carbon XC-72 with 20 wt% metal loading to activate ethanol electrooxidation reaction in alkaline medium. Experimental bulk compositions of nanoparticles were very close t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8adc247311c9e8a921eadff44be2ecc4
https://doi.org/10.1016/j.electacta.2018.10.187
https://doi.org/10.1016/j.electacta.2018.10.187
Autor:
Yingchao Yuan, Chang Liu, Moning Guo, Zhong Xin, Guanjie Chen, Yue Yang, Jianpeng Zheng, Bai Zang, Jinkui Yang
Publikováno v:
JMIR Public Health and Surveillance, Vol 10, p e55657 (2024)
BackgroundSex is a crucial factor in the development, progression, and treatment of cancer, making it vital to examine cancer incidence trends by sex for effective prevention strategies. ObjectiveThis study aimed to assess the incidence of cancer in
Externí odkaz:
https://doaj.org/article/1a401f494ee14172a3ea67479e608648
Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues
Autor:
Qiang Sheng, Yongbiao Lv, Peng Qi, Huan Liu, Qin He, Xirong Li, Chenyang Guo, Yingchao Yu, Juan Cao, Xiaoyue Mi
Publikováno v:
ACM Multimedia
Recently, fake news with text and images have achieved more effective diffusion than text-only fake news, raising a severe issue of multimodal fake news detection. Current studies on this issue have made significant contributions to developing multim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5bdceaa84e65856fd9d706f417429cd7
Publikováno v:
Neurocomputing. 315:190-197
The brain vision mechanism provides a source for the structural design of convolution neural networks (CNNs). Inspired by the multi-stage interaction between the parallel ventral and dorsal stream of the human brain in the process of image recognitio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1a4f5ae0ac8270adb42c8df96367d3d6
https://doi.org/10.1016/j.neucom.2018.07.016
https://doi.org/10.1016/j.neucom.2018.07.016