Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ziheng Tian"'
Autor:
Shibo Su, Ruijiao Tian, Yang Jiao, Shudan Zheng, Siqiang Liang, Tianyi Liu, Ziheng Tian, Xiuhong Cao, Yanlong Xing, Chuqing Ma, Panli Ni, Fabiao Yu, Tongmeng Jiang, Juan Wang
Publikováno v:
Journal of Orthopaedic Translation, Vol 49, Iss , Pp 156-166 (2024)
Osteoarthritis (OA) is a degenerative disease that affects multiple cells and associated extracellular matrix (ECM). Chondrocytes and chondroextracellular matrix together constitute articular cartilage tissue. Any factors that affect the activity of
Externí odkaz:
https://doaj.org/article/7cbebe1243b743af91f5c2cd256afbf4
Autor:
Yixing Zhang, Chuwen Peng, Lifang Wang, Sitong Chen, Junwei Wang, Ziheng Tian, Chuangong Wang, Xiaoxin Chen, Suhong Zhu, Guo-Fang Zhang, You Wang
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 18, Iss 1, Pp 1-21 (2023)
Abstract Propionic acidemia (PA) is a rare autosomal recessive congenital disease caused by mutations in the PCCA or PCCB genes. Elevated propionylcarnitine, 2-methylcitric acid (2MCA), propionylglycine, glycine and 3-hydroxypropionate can be used to
Externí odkaz:
https://doaj.org/article/869051068cf243b2a4e0e3642aacae3d
Autor:
Ruying Hu, Ziheng Tian, Junying Zhou, Songyang Xiao, Jing Xia, Jiangyuan Chen, Ying Zhai, Fahu Yuan
Publikováno v:
Scientific Journal of Technology. 4:61-65
Gold nanoparticles (AuNPs) were synthesized by one-step reduction of chloroauric acid using pomelo leaf polyphenol extract as reducing and protective agent. The AuNPs were characterized by UV-Vis absorption spectroscopy. Compared with AuNPs prepared
Publikováno v:
Advances in Neural Networks – ISNN 2012 ISBN: 9783642313615
ISNN (2)
ISNN (2)
In this paper, a new method to detect rivers in high resolution remote sensing images based on corner feature and Support Vector Machine (SVM) is presented. It introduces corner feature into river detection for the first time. First, we detect corner
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::147363e28eaea08323650318bf30f6a2
https://doi.org/10.1007/978-3-642-31362-2_30
https://doi.org/10.1007/978-3-642-31362-2_30