Zobrazeno 1 - 10
of 361
pro vyhledávání: '"X.D. Tan"'
Publikováno v:
Journal of Affective Disorders Reports, Vol 14, Iss , Pp 100658- (2023)
The pervasiveness of anxiety has been increasing progressively over the years, becoming one of the most critical concerns among colleges and universities. With implications extending towards poorer academic performance and overall student mental heal
Externí odkaz:
https://doaj.org/article/63549148c4314801b24099d5b2f2f990
Publikováno v:
Journal of Materials Science & Technology. 118:35-43
Akademický článek
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Publikováno v:
Theriogenology. 75:826-831
The objective was to determine whether enucleated oocytes injected with frozen porcine first polar bodies (pPB1s) could be fertilized and developed into viable embryos in vitro. Metaphase II (MII) oocytes with pPB1s were frozen (vitrified) and stored
Autor:
Wei, Jiazheng1 (AUTHOR) 22011210729@stu.xidian.edu.cn, Zhang, Shitian2 (AUTHOR) shitian_zhang@126.com, Jin, Mingchao1 (AUTHOR) 21011210111@stu.xidian.edu.cn, He, Xiandeng1 (AUTHOR) xdhe@mail.xidian.edu.cn, Quan, Dongxiao1 (AUTHOR) cc2000@mail.xidian.edu.cn, Chen, Chen1 (AUTHOR)
Publikováno v:
Sensors (14248220). Oct2024, Vol. 24 Issue 20, p6767. 13p.
Autor:
Wang, Yi'an1,2 (AUTHOR) wuzhe@nus.edu.sg, Wu, Zhe2 (AUTHOR), Ni, Dong1,3 (AUTHOR) dni@zju.edu.cn
Publikováno v:
Energies (19961073). Sep2024, Vol. 17 Issue 17, p4323. 38p.
Publikováno v:
Proceedings.
Stochastic inversion of elastic impedance based on Metropolis sampling algorithm is a Monte Carlo based non-linear inversion method, which can effectively integrate the high frequency information of well logging data and have a higher resolution. Thi
Publikováno v:
Proceedings.
This paper presents stochastic inversion of petrophysical parameters based on fractal and low-frequency priori information. It is formulated in a Bayesian framework, combining fractal and low-frequency priori information with statistical petrophysica
Akademický článek
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Satellite-Derived Shoreline Changes of an Urban Beach and Their Relationship to Coastal Engineering.
Autor:
Hu, Rijun1,2 (AUTHOR) hrj@ouc.edu.cn, Fan, Yingjie1 (AUTHOR) fanyingjie@stu.ouc.edu.cn, Zhang, Xiaodong1,2 (AUTHOR) zxd@ouc.edu.cn
Publikováno v:
Remote Sensing. Jul2024, Vol. 16 Issue 13, p2469. 29p.