Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hangyu Pan"'
Publikováno v:
Clinical and Translational Discovery, Vol 3, Iss 5, Pp n/a-n/a (2023)
Abstract Background Lipid‐lowering therapy is of utmost importance in both primary and secondary prevention of atherosclerotic cardio vascular disease (ASCVD). However, the presence of residual risk allows cardiovascular events to occur even when l
Externí odkaz:
https://doaj.org/article/009b161236ed447c8049710448934508
Publikováno v:
PeerJ Computer Science, Vol 9, p e1299 (2023)
Existing cross-lingual summarization (CLS) datasets consist of inconsistent sample quality and low scale. To address these problems, we propose a method that jointly supervises quality and scale to build CLS datasets. In terms of quality supervision,
Externí odkaz:
https://doaj.org/article/aa5d84885881463da30b89dede698266
Autor:
Hangyu Pan, Zhongzhou Guo, Ping Lv, Kexin Hu, Tongwei Wu, Zixiang Lin, Yazhi Xue, Yanan Zhang, Zhigang Guo
Publikováno v:
Clinical and Translational Medicine, Vol 13, Iss 3, Pp n/a-n/a (2023)
Abstract Background Atherosclerosis (AS), the main pathological basis of life‐threatening cardiovascular disease, is essentially caused by chronic macrophage inflammation. Overexpression of proline/serine‐rich coiled‐coil protein 1 (PSRC1) redu
Externí odkaz:
https://doaj.org/article/5db908037d9a4168871b009d34b49c2e
Publikováno v:
Computational Intelligence and Neuroscience. 2022:1-15
Knowledge graph representation learning aims to provide accurate entity and relation representations for tasks such as intelligent question answering and recommendation systems. Existing representation learning methods, which only consider triples, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80c9239b4edf840ecf7ee8617bf91f8b
https://doi.org/10.1155/2022/1438047
https://doi.org/10.1155/2022/1438047
Long noncoding RNAs (lncRNAs) play an important role in the entire progression of atherosclerosis. In this study, we identified an uncharacterized lncRNA, Liver Expressions by PSRC1 Induce Specifically (LEPIS). The expression of LEPIS and its potenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7015a79001be2bb869192ee0ca83f8e8
https://doi.org/10.1101/2022.05.03.490400
https://doi.org/10.1101/2022.05.03.490400
Autor:
Hangyu Pan, Zhongzhou Guo, Ping Lv, Kexin Hu, Tongwei Wu, Zixiang Lin, Yazhi Xue, Yanan Zhang, Zhigang Guo
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f69a93d075a0761cdf29c41b676b802
https://doi.org/10.2139/ssrn.4220996
https://doi.org/10.2139/ssrn.4220996
Publikováno v:
ICMLC
Timely identification of Chinese Microblogs users' stance and tendency is of great significance for social managers to understand the trends of online public opinion. Traditional stance detection methods underutilize target information, which affects
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b4f2073a8caaeaf218ba3443a6ef7384
https://doi.org/10.1145/3457682.3457717
https://doi.org/10.1145/3457682.3457717
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030343866
Named entity recognition (NER) and relation extraction (RE) are the basic tasks of Natural Language Processing (NLP). However, previous works always treat them as two separated subtasks, a novel improved method of joint extraction was present in this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9f179bfd7fec0261c25d4b53848999c3
https://doi.org/10.1007/978-3-030-34387-3_56
https://doi.org/10.1007/978-3-030-34387-3_56
Publikováno v:
ICSAI
Colon cancer (Cc) is the third high-malignancy cancer in the world, and there are abundant publications about colon cancer. A Support Vector Machine classifier is used to extract the relation about mutated genes, microRNAs (miRNA) in Cc cells by mini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdac0f6a8443ffbb8fdcbc2e64635af2
https://doi.org/10.1109/icsai.2018.8599412
https://doi.org/10.1109/icsai.2018.8599412