Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Liya Ai"'
Publikováno v:
Bioactive Materials, Vol 36, Iss , Pp 358-375 (2024)
Meniscus injury is one of the most common sports injuries within the knee joint, which is also a crucial pathogenic factor for osteoarthritis (OA). The current meniscus substitution products are far from able to restore meniscal biofunctions due to t
Externí odkaz:
https://doaj.org/article/11e63bb13b9b429599e48f9bccd351ed
Publikováno v:
Cell Transplantation, Vol 33 (2024)
Immune rejection presents a significant challenge in xenogenic meniscal transplantation. Pigs are widely regarded as an advantageous tissue source for such transplants, with porcine GGTA1, CMAH, and B4GALNT2 being among the most common xenoreactive a
Externí odkaz:
https://doaj.org/article/8a9c23d0acb94e9eae98a2cb59289ae8
Autor:
Lingling Zheng, Dan Chen, Chao Wang, Liya Ai, Yongfeng Li, Min Hu, Raffaella Aversa, Lizhen Wang, Yubo Fan
Publikováno v:
Materials & Design, Vol 234, Iss , Pp 112310- (2023)
The challenge of reconstructing large mandibular bone defects with double-barrel fibula flap (DBFF) is limited by the availability of autogenous bone, which remains a significant issue in maxillofacial surgery. This study aims to compare the novel sc
Externí odkaz:
https://doaj.org/article/2c2ecc070b2543d388a916118c3bfa14
Publikováno v:
IEEE Transactions on Computational Social Systems. 10:982-993
Akademický článek
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Publikováno v:
2015 IEEE 5th International Conference on Electronics Information and Emergency Communication.
With the implementation of some large sky surveys such as LAMOST, We will collect massive spectra data. The automated spectral classification becomes more and more important. In this paper, a local mean based k-nearest neighbor (LMKNN) method is used