Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Jingqun Li"'
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 3, Iss 1, Pp 84-94 (2021)
Identifying fake news on media has been an important issue. This is especially true considering the wide spread of rumors on popular social networks such as Twitter. Various kinds of techniques have been proposed for automatic rumor detection. In thi
Externí odkaz:
https://doaj.org/article/cf5f1e658fd24a77b9fe778240b103e1
Autor:
Haonan Jia, Ruohui Chen, Lifeng Wei, Gangyu Zhang, Mingli Jiao, Chao Liu, Zhuowa Sha, Shuang Zhou, Yameng Wang, Jingqun Li, Xiaowen Jia, Omar Yacouba Ismael, Jingfu Mao, Qunhong Wu
Publikováno v:
BMC Health Services Research, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background To evaluate the impact of a restricted access policy on workplace violence in a healthcare setting. Methods We surveyed healthcare workers before and after the implementation of a restricted-access policy at a tertiary hospital in
Externí odkaz:
https://doaj.org/article/acd3fca0fdaf4e6a9758291020338c6e
Sociodemographic determinants of maternal health service use in rural China: a cross-sectional study
Autor:
Kexin Jiang, Libo Liang, Haifeng Wang, Jingqun Li, Yuze Li, Mingli Jiao, Jingfu Mao, Qunhong Wu
Publikováno v:
Health and Quality of Life Outcomes, Vol 18, Iss 1, Pp 1-8 (2020)
Abstract Objective This study examined the relationship between sociodemographic characteristics and maternal health use from a policy perspective. It aimed to provide an overview of maternal health in Heilongjiang’s rural provinces and its implica
Externí odkaz:
https://doaj.org/article/73776df091924c1394e3b9c11f648c6f
Autor:
Kexin Jiang, Huiying Fang, Yameng Wang, Haonan Jia, Ruohui Chen, Lifeng Wei, Gangyu Zhang, Yuanheng Li, Jingqun Li, Xiaowen Jia, Omar Yacouba Ismael, Jingfu Mao
Publikováno v:
BMJ Open, Vol 10, Iss 9 (2020)
Externí odkaz:
https://doaj.org/article/667d41bf4d2345009742ae028588577c
Autor:
Tianfei Zhong, Ying Li, Meng Jin, Jingqun Liu, Zhenyu Wu, Feiye Zhu, Lisha Zhao, Yongsheng Fan, Li Xu, Jinjun Ji
Publikováno v:
Cell Death and Disease, Vol 15, Iss 7, Pp 1-14 (2024)
Abstract Non-small cell lung cancer (NSCLC) is among the most prevalent cancers and a leading cause of cancer-related mortality globally. Extracellular vesicles (EVs) derived from NSCLC play a pivotal role in lung cancer progression. Our findings rev
Externí odkaz:
https://doaj.org/article/aa29942a57f54ae6a7c002af1ecdcf2d
Publikováno v:
Journal of Global Optimization. 81:691-716
In this paper, we extend the purely dual formulation that we recently proposed for the three-dimensional assignment problems to solve the more general multidimensional assignment problem. The convex dual representation is derived and its relationship
Autor:
Yihong Gan, Jingqun Liu, Meng Jin, Yilin Zhang, Shuo Huang, Qing Ma, Yanzuo Wu, Li Xu, Jie Bao, Yongsheng Fan
Publikováno v:
Dermatology and Therapy, Vol 14, Iss 3, Pp 713-728 (2024)
Abstract Introduction Observational studies and clinical trials have supported the association between gut microbiota and psoriatic arthritis. However, the causal link between gut microbiota and psoriatic arthritis is still unclear. Methods A two-sam
Externí odkaz:
https://doaj.org/article/969e701da9ee4a2f8d65174a179f27f8
Publikováno v:
Computational Optimization and Applications. 74:481-516
In this paper, we propose a novel convex dual approach to the three dimensional assignment problem, which is an NP-hard binary programming problem. It is shown that the proposed dual approach is equivalent to the Lagrangian relaxation method in terms
Autor:
Jingqun Li, Omar Yacouba Ismael, Chao Liu, Mingli Jiao, Yameng Wang, Haonan Jia, Shuang Zhou, Zhuowa Sha, Gangyu Zhang, Xiaowen Jia, Jingfu Mao, Ruohui Chen, Qunhong Wu, Lifeng Wei
Publikováno v:
BMC Health Services Research
BMC Health Services Research, Vol 20, Iss 1, Pp 1-9 (2020)
BMC Health Services Research, Vol 20, Iss 1, Pp 1-9 (2020)
Background To evaluate the impact of a restricted access policy on workplace violence in a healthcare setting. Methods We surveyed healthcare workers before and after the implementation of a restricted-access policy at a tertiary hospital in north-ea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f97a12c7e487d92f74611c9d4676a3b6
Publikováno v:
Machine Learning and Knowledge Extraction
Volume 3
Issue 1
Pages 5-94
Machine Learning and Knowledge Extraction, Vol 3, Iss 5, Pp 84-94 (2021)
Volume 3
Issue 1
Pages 5-94
Machine Learning and Knowledge Extraction, Vol 3, Iss 5, Pp 84-94 (2021)
Identifying fake news on the media has been an important issue. This is especially true considering the wide spread of rumors on the popular social networks such as Twitter. Various kinds of techniques have been proposed for automatic rumor detection
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36d53fe9c96322561890bdc7f574051d
https://doi.org/10.20944/preprints202011.0511.v2
https://doi.org/10.20944/preprints202011.0511.v2