Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Xuefan Dong"'
Publikováno v:
Humanities & Social Sciences Communications, Vol 9, Iss 1, Pp 1-18 (2022)
Abstract Disclosure of patients’ travel route information by government departments has been an effective and indispensable pandemic prevention and control measure during the COVID-19 pandemic. However, this measure may make patients susceptible to
Externí odkaz:
https://doaj.org/article/5d1390cdd5064ee6a9f1e48f2c2ef150
Publikováno v:
Frontiers in Surgery, Vol 9 (2022)
Background:To search and obtain the relevant evidence of prevention and management of lower extremity deep venous thrombosis (DVT) after gynecological malignant tumor operation and to summarize the relevant evidence.MethodsWe searched the JBI evidenc
Externí odkaz:
https://doaj.org/article/31fff2e82ddc41a98c08117b38626611
Publikováno v:
BMC Pediatrics, Vol 20, Iss 1, Pp 1-11 (2020)
Abstract Background It is believed that parents have a great influence on their children’s dietary behaviours. However, it is not clear whether parental food patterns are associated with children’s nutritional status in China, which includes a va
Externí odkaz:
https://doaj.org/article/e877e0a837644da4a24d15b85f0aae87
Publikováno v:
IEEE Access, Vol 7, Pp 55108-55120 (2019)
The emergence of Internet water armies has strongly affected the information quality of online communication platforms, thus disrupting the order of the Internet. Accurate detection of Internet water armies is therefore of great significance. Based o
Externí odkaz:
https://doaj.org/article/be0a9e71bba34ea5924a620512e2ad3f
Publikováno v:
Frontiers in Psychology, Vol 10 (2019)
Entrepreneurial followers are defined as the crucial members of a specific entrepreneurial team and do not include the leader or normal employees in the present paper. This population can be viewed as indispensable factors in the success of entrepren
Externí odkaz:
https://doaj.org/article/4d0add0d5fc247c5ba067d5f33860ed0
Publikováno v:
Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022) ISBN: 9789464630374
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::978cc0a5b9dd76585c26d39bb2ecebac
https://doi.org/10.2991/978-94-6463-038-1_31
https://doi.org/10.2991/978-94-6463-038-1_31
Publikováno v:
The Journal of Supercomputing
Based on the supernetwork theory, a two-step rumor detection model was proposed. The first step was the classification of users on the basis of user-based features. In the second step, non-user-based features, including psychology-based features, con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1cc24523a7e6d7253b794d388b70e81
http://europepmc.org/articles/PMC8014906
http://europepmc.org/articles/PMC8014906
Publikováno v:
Future Generation Computer Systems. 105:492-501
Research on medical practice that uses big data has attracted considerable attention recently. In this paper, we focused on a large set of patient referral data gathered in Fujian province, China, between 2009 and 2011. We built a directed weighted p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df5cd83868c2850dc02af8c23188e1bb
https://doi.org/10.1016/j.future.2019.12.001
https://doi.org/10.1016/j.future.2019.12.001
Publikováno v:
Computers in biology and medicine. 149
In this paper, we propose a coronavirus disease (COVID-19) epidemiological model called SEIR-FMi (Susceptible-Exposed-Infectious-Recovery with Flow and Medical investments) to study the effects of intra-city population movement, inter-city population
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73ccf51124cdc39403c872df25b7cc54
https://pubmed.ncbi.nlm.nih.gov/36108414
https://pubmed.ncbi.nlm.nih.gov/36108414
Autor:
Ying Lian, Xuefan Dong
Publikováno v:
Knowledge-Based Systems. 251:109133
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4d288b09db73bdcc0dd7c6a66450528
https://doi.org/10.1016/j.knosys.2022.109133
https://doi.org/10.1016/j.knosys.2022.109133