Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Qiannan Zhu"'
Autor:
Jiaqi Zhang, Haoyue Ren, Qiannan Zhu, Xiangrui Kong, Feng Zhang, Chang Wang, Yimeng Wang, Guiwen Yang, Fumiao Zhang
Publikováno v:
BMC Veterinary Research, Vol 20, Iss 1, Pp 1-11 (2024)
Abstract Fish live in an aquatic environment rich in various microorganisms and pathogens. Fish mucosal-associated lymphoid tissue (MALT) plays a very important role in immune defence. This study was conducted to characterize the immune response medi
Externí odkaz:
https://doaj.org/article/03d5585a37e2426cab7e64841a35f0fc
Publikováno v:
IEEE Access, Vol 9, Pp 149077-149088 (2021)
Convolutional neural networks (CNN), recurrent neural networks (RNN), attention, and their variants are extensively applied in the sentiment analysis, and the effect of fusion model is expected to be better. However, fusion model is confronted with s
Externí odkaz:
https://doaj.org/article/7238031c83f244d6be63df3ef0b37e04
Autor:
Rui Chen, Sainan You, Zinan Yin, Qiannan Zhu, Chaojun Jiang, Shuo Li, Yan Li, Xiaoming Zha, Jue Wang
Publikováno v:
World Journal of Surgical Oncology, Vol 17, Iss 1, Pp 1-9 (2019)
Abstract Background The rate of breast-conserving surgery (BCS) is low in China. Many patients choose mastectomy even when informed that there is no difference in the overall survival rate compared with that of BCS plus radiotherapy. This study aimed
Externí odkaz:
https://doaj.org/article/d1860fe0c2b44be0b570246f6aeb289e
Publikováno v:
Molecules, Vol 26, Iss 23, p 7299 (2021)
Screening the lead compounds which could interact both with PAS and CAS of acetylcholinesterase (AChE) is an important trend in finding innovative drugs for Alzheimer’s disease (AD). In this paper, four sesquiterpenes, i.e., atractylenolide III (1)
Externí odkaz:
https://doaj.org/article/5c2c8083e4584874bee2938b89381ff7
Autor:
Xiang Chen, Jindao Wu, Huaxing Huang, Qiang Ding, Xiaoan Liu, Lin Chen, Xiaoming Zha, Mengdi Liang, Jing He, Qiannan Zhu, Shui Wang, Tiansong Xia
Publikováno v:
Cellular Physiology and Biochemistry, Vol 38, Iss 1, Pp 110-121 (2016)
Background: Women with triple negative breast cancers (TNBCs) have a poor prognosis due to lack of suitable targeted therapies. Changes in the protein glycosylation are increasingly being recognized as an important modification associated with cancer
Externí odkaz:
https://doaj.org/article/b0e3fa9263734c298a22bf5ac40d0365
Publikováno v:
Nano-Micro Letters, Vol 6, Iss 4, Pp 372-380 (2014)
Abstract Through wet-chemical assembly methods, gold nanorods were placed close to each other and formed a dimer with a gap distance ~1 nm, and hence degenerated plasmonic dipole modes of individual nanorods coupled together to produce hybridized bon
Externí odkaz:
https://doaj.org/article/a5aebe49aacc42f9af7ed9f889493361
Autor:
Shaoke Guo, Shendong Tan, Jiabin Ma, Likun Chen, Ke Yang, Qiannan Zhu, Yuetao Ma, Peiran Shi, Yinping Wei, Xufei An, Qingkang Ren, Yanfei Huang, Yingman Zhu, Ye Cheng, Wei Lv, Tingzheng Hou, Ming Liu, Yan-Bing He, Quan-Hong Yang, Feiyu Kang
Publikováno v:
Energy & Environmental Science; 6/7/2024, Vol. 17 Issue 11, p3797-3806, 10p
Publikováno v:
ACM Transactions on Information Systems. 41:1-23
Recent studies show that historical behaviors (such as queries and their clicks) contained in a search session can benefit the ranking performance of subsequent queries in the session. Existing neural context-aware ranking models usually rank documen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f154df37564b129b619f752e72272e09
https://doi.org/10.1145/3529955
https://doi.org/10.1145/3529955
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. 34:5825-5839
Knowledge graph embedding is an effective way to represent knowledge graph, which greatly enhance the performances on knowledge graph completion tasks, e.g. entity or relation prediction. For knowledge graph embedding models, designing a powerful los
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd342e918765adf026a9b4e51c5bc824
https://doi.org/10.1109/tkde.2021.3060755
https://doi.org/10.1109/tkde.2021.3060755
Publikováno v:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::604204263ff416b80e8236040e967ac2
https://doi.org/10.1145/3539597.3570391
https://doi.org/10.1145/3539597.3570391