Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Suyu Ge"'
Autor:
Dongxin Da, Suyu Ge, Hao Zhang, Xiaoli Zeng, Yiwei Jiang, Jin Yu, Huning Wang, Wanqing Wu, Zhenxu Xiao, Xiaoniu Liang, Qianhua Zhao, Ding Ding, Ying Zhang
Publikováno v:
Frontiers in Aging Neuroscience, Vol 15 (2023)
IntroductionThe loss of occlusal support due to tooth loss is associated with systemic diseases. However, there was little about the association between occlusal support and cognitive impairment. The cross-sectional study aimed to investigate their a
Externí odkaz:
https://doaj.org/article/8d7d6a12f9164e44bb8d2da6de775072
Publikováno v:
Energy Materials and Devices, Vol 1, Iss 1, p 9370002 (2023)
The design of a highly efficient electrocatalyst for oxygen evolution reaction (OER) is of great significance to the clean energy conversion system. Herein, novel Mo-doped NiFe phosphide (Mo-NiFe-P) nanoflowers are developed as robust high-activity c
Externí odkaz:
https://doaj.org/article/c43bb71fb47443f68b429f55e3bd514a
Autor:
Dongxin Da, Suyu Ge, Hao Zhang, Xiaoli Zeng, Yiwei Jiang, Jin Yu, Huning Wang, Wanqing Wu, Zhenxu Xiao, Xiaoniu Liang, Ding Ding, Ying Zhang
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
Occlusal support was proved to be associated with type 2 diabetes. Our aim was to investigate the association between the Eichner index and the prevalence of type 2 diabetes. We included 715 participants with oral health examinations in the Shanghai
Externí odkaz:
https://doaj.org/article/1183164c544942698bd2df4f89d5cd6d
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 210, Iss , Pp 111876- (2021)
Evidence has shown that miRNAs could play a role in dental fluorosis, but there is no study has investigated the global expression miRNA profiles of fluoride-exposed enamel organ. In this study, we analysed the differentially expressed (DE) miRNAs be
Externí odkaz:
https://doaj.org/article/24214da7e8b648eeb7b28848d5595eee
Publikováno v:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining.
Publikováno v:
CCF Transactions on Pervasive Computing and Interaction. 1:285-295
Reviews contain rich information of user interests and item characteristics. Incorporating reviews into recommendation has attracted increasing attention in recent years, which can help learn more accurate user and item representations for recommenda
Autor:
Davy Weissenbacher, Sean Hennessy, Graciela Gonzalez-Hernandez, Robert E. Gross, Ari Z. Klein, Suyu Ge, Karen O'Connor
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective We address a first step toward using social media data to supplement current efforts in monitoring population-level medication nonadherence: detecting changes to medication treatment. Medication treatment changes, like changes to dosage or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3674cfcdabdf1b4215be645d4d7a0f76
https://doi.org/10.1101/2020.12.04.20244210
https://doi.org/10.1101/2020.12.04.20244210
Publikováno v:
WWW
Cyberbullying, identified as intended and repeated online bullying behavior, has become increasingly prevalent in the past few decades. Despite the significant progress made thus far, the focus of most existing work on cyberbullying detection lies in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cae5b861385ead4ad922861aa3c37dc0
http://arxiv.org/abs/2011.00449
http://arxiv.org/abs/2011.00449
Publikováno v:
WWW
With the explosion of online news, personalized news recommendation becomes increasingly important for online news platforms to help their users find interesting information. Existing news recommendation methods achieve personalization by building ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2bde70adf95c548ac3bc3cf6459ac319
http://arxiv.org/abs/2003.14292
http://arxiv.org/abs/2003.14292
Publikováno v:
Proceedings of the Fourth Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task.
This paper describes our system for the first and second shared tasks of the fourth Social Media Mining for Health Applications (SMM4H) workshop. We enhance tweet representation with a language model and distinguish the importance of different words