
Xing Han
Articles
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Oct 30, 2024 |
mdpi.com | Xing Han |Hao Zhan |Chang Li |Xuan Wang
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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May 25, 2024 |
bmcbiotechnol.biomedcentral.com | Yinghui Li |Xiuge Gu |Ziyang Liu |Xing Han |Wenwen Li |Wensheng Ma | +2 more
hGMSCs were obtained from gingival tissues around the extracted third molars, which were extracted due to orthodontic needs or impaction. The patients did not have diabetes or infectious diseases. The study complied with the Declaration of Helsinki, and informed consent forms were obtained from all subjects or from a legal representative. For this experiment, gingival tissues from 10 healthy donors were used, and the tissue size was approximately 5 × 5 × 5 mm.
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Feb 8, 2024 |
arxiv.org | Xing Han
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Nov 21, 2023 |
pubs.acs.org | Xing Han |Chao Wu Jiang |Bang Hou |Yan Liu
Download Hi-Res ImageDownload to MS-PowerPointCite This:J. Am. Chem. Soc. 2024, XXXX, XXX CCDC 2302916–2302918 and 2309112 contain the supplementary crystallographic data for this paper. These data can be obtained free of charge via www.ccdc.cam.ac.uk/data_request/cif, or by emailing [email protected], or by contacting The Cambridge Crystallographic Data Centre, 12 Union Road, Cambridge CB2 1EZ, UK; fax: +44 1223 336033.
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Jul 31, 2023 |
arxiv.org | Xing Han
[Submitted on 31 Jul 2023 ( v1 ), last revised 17 Apr 2024 (this version, v2)] Title:Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering View a PDF of the paper titled Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering, by Vaibhav Adlakha and 4 other authors View PDF HTML (experimental) Abstract:Retriever-augmented instruction-following models are attractive alternatives to fine-tuned approaches for...
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