Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Daniel Dajun Zeng"'
Autor:
Pengfei Zhao, Shuangqi Li, Zhidong Cao, Paul Jen-Hwa Hu, Daniel Dajun Zeng, Da Xie, Yichen Shen, Jiangfeng Li, Tianyi Luo
Publikováno v:
Journal of Safety Science and Resilience, Vol 5, Iss 1, Pp 64-82 (2024)
Information and communication technologies enable the transformation of traditional energy systems into cyber-physical energy systems (CPESs), but such systems have also become popular targets of cyberattacks. Currently, available methods for evaluat
Externí odkaz:
https://doaj.org/article/33f8f9168c1a478790266e0f9d5ec277
Publikováno v:
Pharmacological Research, Vol 196, Iss , Pp 106903- (2023)
Externí odkaz:
https://doaj.org/article/8e621fda2f2a416ab595b6286f6385ff
Autor:
Tianyi Luo, Jiaojiao Wang, Quanyi Wang, Xiaoli Wang, Pengfei Zhao, Daniel Dajun Zeng, Qingpeng Zhang, Zhidong Cao
Publikováno v:
International Journal of Infectious Diseases, Vol 116, Iss , Pp 411-417 (2022)
Objectives: The aim of the study was to reconstruct the complete transmission chain of the COVID-19 outbreak in Beijing's Xinfadi Market using data from epidemiological investigations, which contributes to reflecting transmission dynamics and transmi
Externí odkaz:
https://doaj.org/article/9ce29bce9fea4bb3a85baf4929e70b57
Autor:
Jiandong Zhou, Sharen Lee, Xiansong Wang, Yi Li, William Ka Kei Wu, Tong Liu, Zhidong Cao, Daniel Dajun Zeng, Keith Sai Kit Leung, Abraham Ka Chung Wai, Ian Chi Kei Wong, Bernard Man Yung Cheung, Qingpeng Zhang, Gary Tse
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-9 (2021)
Abstract Recent studies have reported numerous predictors for adverse outcomes in COVID-19 disease. However, there have been few simple clinical risk scores available for prompt risk stratification. The objective is to develop a simple risk score for
Externí odkaz:
https://doaj.org/article/9bbff64d31ad4c4d921fa169b2fe5fc7
Publikováno v:
International Journal of Infectious Diseases, Vol 104, Iss , Pp 1-6 (2021)
Objectives: We aimed to explore the collective wisdom of preprints related to COVID-19 by comparing and synthesizing them with results of peer-reviewed publications. Methods: PubMed, Google Scholar, medRxiv, bioRxiv, arXiv, and SSRN were searched for
Externí odkaz:
https://doaj.org/article/abcdb58796c243f3b5dfff03d37edf9f
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 3, p e24787 (2022)
BackgroundInnovative surveillance methods are needed to assess adherence to COVID-19 recommendations, especially methods that can provide near real-time or highly geographically targeted data. Use of location-based social media image data (eg, Instag
Externí odkaz:
https://doaj.org/article/7050fc7b797d4510bbee88d38c707559
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 3, p e37841 (2022)
Externí odkaz:
https://doaj.org/article/e00d993368ae458aab9ac27c90b337ab
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 2, p e31726 (2022)
BackgroundCOVID-19 vaccines are one of the most effective preventive strategies for containing the pandemic. Having a better understanding of the public’s conceptions of COVID-19 vaccines may aid in the effort to promptly and thoroughly vaccinate t
Externí odkaz:
https://doaj.org/article/95002471fb1d4d7e9768e5087f6b1acf
Publikováno v:
AIP Advances, Vol 11, Iss 8, Pp 085206-085206-8 (2021)
The improved particle filter (PF) based on the geometric center and likelihood estimation is proposed in order to solve the problem of particle dilution and degradation. In the resampling stage, the geometric center is used to resample the particles.
Externí odkaz:
https://doaj.org/article/8a2cef7721bc44618c9a3da53df17b92
Autor:
Jiandong Zhou, Sharen Lee, Xiansong Wang, Yi Li, William Ka Kei Wu, Tong Liu, Zhidong Cao, Daniel Dajun Zeng, Keith Sai Kit Leung, Abraham Ka Chung Wai, Ian Chi Kei Wong, Bernard Man Yung Cheung, Qingpeng Zhang, Gary Tse
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/f0e358dbec604845aacad92e101d3716