Zobrazeno 1 - 10
of 51
pro vyhledávání: '"LONGTAO HUANG"'
Autor:
Bin Wang, Jin Cai, Longtao Huang, Yonghao Chen, Ruoxi Wang, Mengyao Luo, Meng Yang, Mohan Zhang, Nasihat, Guangying Chen, Guolei Huang, Caijuan Zheng
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
Bacterial infections pose a significant clinical burden on global health. The growing incidence of drug-resistant pathogens highlights the critical necessity to identify and isolate bioactive compounds from marine resources. Marine-derived fungi coul
Externí odkaz:
https://doaj.org/article/25209439f76b48d3a632da945826777b
Autor:
Jin Cai, Xueming Zhou, Bin Wang, Xuelong Zhang, Mengyao Luo, Longtao Huang, Ruoxi Wang, Yonghao Chen, Xiaoyang Li, Youping Luo, Guangying Chen, Fei Cao, Guolei Huang, Caijuan Zheng
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
Six new polyketides, which includes three new lactones (talarotones A–C) (1–3), one new polyketide (talarotide A) (4), two new polyenes (talaroyenes A, B) (5, 6), together with one new meroterpenoid (talaropenoid A) (7) and 13 known compounds (8
Externí odkaz:
https://doaj.org/article/0474afbbc648482bbbf630f0378a84d3
Publikováno v:
ACM Transactions on Information Systems. 41:1-27
Incorporating knowledge graphs (KGs) into recommender systems to provide explainable recommendation has attracted much attention recently. The multi-hop paths in KGs can provide auxiliary facts for improving recommendation performance as well as expl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b13d68c87cd1254c03d86232251fa02
https://doi.org/10.1145/3511019
https://doi.org/10.1145/3511019
Publikováno v:
Data Mining and Knowledge Discovery. 37:110-135
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f7b2e0a064b58cb389481ebce620dee
https://doi.org/10.1007/s10618-022-00851-2
https://doi.org/10.1007/s10618-022-00851-2
Publikováno v:
Database Systems for Advanced Applications ISBN: 9783031306716
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::179aa4326cecb7ad8c2150f0833bb679
https://doi.org/10.1007/978-3-031-30672-3_51
https://doi.org/10.1007/978-3-031-30672-3_51
Publikováno v:
Neural Networks. 143:261-270
Learning to reason in large-scale knowledge graphs has attracted much attention from research communities recently. This paper targets a practical task of multi-hop reasoning in knowledge graphs, which can be applied in various downstream tasks such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b996963826fa6839be12e9be6001272d
https://doi.org/10.1016/j.neunet.2021.06.008
https://doi.org/10.1016/j.neunet.2021.06.008
Autor:
Longtao Huangfu, Huanbo Zhu, Gangjian Wang, Junbing Chen, Yongqi Wang, Biao Fan, Xiaoyang Wang, Qian Yao, Ting Guo, Jing Han, Ying Hu, Hong Du, Xiaomei Li, Jiafu Ji, Xiaofang Xing
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 43, Iss 1, Pp 1-15 (2024)
Abstract Background Ubiquitin-specific protease 15 (USP15) exhibits amplifications in various tumors, including gastric cancer (GC), yet its biological function and mechanisms in GC progression remain elusive. Methods Here, we established stable USP1
Externí odkaz:
https://doaj.org/article/ba20c4d61fe7447fbde44c41f1440c1d
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a9ea4e7fcd949208ae4b66d0effca33
https://doi.org/10.1109/icassp43922.2022.9746464
https://doi.org/10.1109/icassp43922.2022.9746464
Publikováno v:
World Wide Web. 23:2449-2470
With information explosion on the Internet, only returning ranked documents by search engines cannot satisfy people’s requirements on news events understanding. A more intelligent news events search engine should not only retrieve all related docum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1cd05b0c0918e3bd0e3bf420687839a
https://doi.org/10.1007/s11280-020-00818-7
https://doi.org/10.1007/s11280-020-00818-7
Autor:
Ce Zheng, Tong Qiao, Zhun Fan, Binyao Chen, Xiaolin Xie, Mingzhi Zhang, Longtao Huang, Jiewei Lu, Jianling Yang
Publikováno v:
Graefe's Archive for Clinical and Experimental Ophthalmology. 258:577-585
To develop a deep learning (DL) model for automated detection of glaucoma and to compare diagnostic capability against hand-craft features (HCFs) based on spectral domain optical coherence tomography (SD-OCT) peripapillary retinal nerve fiber layer (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3167f273ea47bc1d85a4fa0a9e71c001
https://doi.org/10.1007/s00417-019-04543-4
https://doi.org/10.1007/s00417-019-04543-4