Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Zhichun Guo"'
Autor:
Lan Jiang, Juan Chen, Ping Wang, Qiongqiong Ren, Jian Yuan, Chaoju Qian, Xinghong Hua, Zhichun Guo, Lei Zhang, Jianke Yang, Ying Wang, Qin Zhang, Hengwu Ding, De Bi, Zongmeng Zhang, Qingqing Wang, Dongsheng Chen, Xianzhao Kan
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0141037 (2015)
Externí odkaz:
https://doaj.org/article/6b19c87c6c5f46238925f97bea133ee8
Autor:
Lan Jiang, Juan Chen, Ping Wang, Qiongqiong Ren, Jian Yuan, Chaoju Qian, Xinghong Hua, Zhichun Guo, Lei Zhang, Jianke Yang, Ying Wang, Qin Zhang, Hengwu Ding, De Bi, Zongmeng Zhang, Qingqing Wang, Dongsheng Chen, Xianzhao Kan
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0136297 (2015)
The family Accipitridae is one of the largest groups of non-passerine birds, including 68 genera and 243 species globally distributed. In the present study, we determined the complete mitochondrial sequences of two species of accipitrid, namely Aquil
Externí odkaz:
https://doaj.org/article/72b98d0319cb43aeaf2403ba0d7adaea
Autor:
Olaf Wiest, Abigail G. Doyle, Andrzej Zuranski, Nitesh V. Chawla, Thierry Kogej, Bozhao Nan, Per-Ola Norrby, John E. Herr, Zhichun Guo, Jessica Wahlers, Mandana Saebi
Publikováno v:
Chemical science, vol 14, iss 19
The lack of publicly available, large, and unbiased datasets is a key bottleneck for the application of machine learning (ML) methods in synthetic chemistry. Data from electronic laboratory notebooks (ELNs) could provide less biased, large datasets,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::755e7e29e9f93af06206bffae4e400cb
https://escholarship.org/uc/item/794598q3
https://escholarship.org/uc/item/794598q3
Autor:
Yao Li, Hongru Yang, Yijing Zuo, Yue Chen, Yue Yan, Chenyu Sun, Mubashir Ayaz Ahmed, Zhichun Guo, Qin Zhou, Lei Hu, Cunye Yan, Chandur Bhan, Yiceng Sun
Publikováno v:
Japanese Journal of Infectious Diseases. 75:10-15
The findings of previous research on the association between proton pump inhibitor (PPI) use and the treatment and prevention of coronavirus disease 2019 (COVID-19) are inconsistent. Therefore, this meta-analysis was conducted to clarify the outcomes
Publikováno v:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management.
Publikováno v:
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
Learning effective recipe representations is essential in food studies. Unlike what has been developed for image-based recipe retrieval or learning structural text embeddings, the combined effect of multi-modal information (i.e., recipe images, text,
Autor:
Zhichun Guo, Chenyu Sun, Qin Zhou, Zeid Karadsheh, Lei Hu, Xin Chen, Yile Wu, Yue Chen, Guangyuan Li, Hongru Yang, Sujatha Kailas
Publikováno v:
Journal of Cancer Research and Clinical Oncology. 147:2681-2691
Previous research on the association between proton pump inhibitor (PPI) use and the risk of progression to high-grade dysplasia (HGD)/esophageal adenocarcinoma (EAC) in Barrett’s Esophagus (BE) patients has generated inconsistent findings. This me
Autor:
Hongru Yang, Yue Chen, Qin Zhou, Chandur Bhan, Yue Yan, Yijing Zuo, Lei Hu, Mingming Liang, Zhichun Guo, Yile Wu, Chenyu Sun, Mubashir Ayaz Ahmed
Publikováno v:
Digestive Diseases and Sciences
Background Famotidine was reported to potentially provide benefits to Coronavirus Disease 2019 (COVID-19) patients. However, it remains controversial whether it is effective in treating COVID-19. Aims This study aimed to explore whether famotidine us
Autor:
Juan Gao, Linya Feng, Yaru Li, Scott Lowe, Zhichun Guo, Rachel Bentley, Chuman Xie, Birong Wu, Peng Xie, Weihang Xia, Shaodi Ma, Haixia Liu, Xianwei Guo, John Patrick N. Uy, Qin Zhou, Hina Wazir, Chenyu Sun
Publikováno v:
American journal of preventive medicine.
There have been reports of potential negative cardiovascular effects from the COVID-19 vaccine, such as myocarditis or pericarditis. This study sought to ascertain the risk of myocarditis/pericarditis after COVID-19 vaccination by conducting an exten
Publikováno v:
IEEE transactions on visualization and computer graphics.
Comprehensively evaluating and comparing researchers' academic performance is complicated due to the intrinsic complexity of scholarly data. Different scholarly evaluation tasks often require the publication and citation data to be investigated in va