Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sheng-Jie Liang"'
Autor:
Sheng-jie Liang, 梁盛傑
102
This thesis studies the factors affecting the probability of being sold at each round in multi-round auctions for foreclosed properties in Panchiao and Hsinchunang during 2008 to 2011. Empirical results show that properties with a lower rati
This thesis studies the factors affecting the probability of being sold at each round in multi-round auctions for foreclosed properties in Panchiao and Hsinchunang during 2008 to 2011. Empirical results show that properties with a lower rati
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/p4nasd
Publikováno v:
Toxicology Research. 4:241-247
Sonic hedgehog (Shh)/bone morphogenetic protein 4 (Bmp4) is an androgen-regulated signaling pathway that has been shown to be crucial for embryonic development. This study was designed to investigate the expression of the Shh/Bmp4 signaling pathway d
Autor:
Hai-Bin, Wei, Yi, Shao, Sheng-Jie, Liang, Cheng-Yue, Sun, Jian, Zhuo, Bang-min, Han, Fu-Jun, Zhao, Xiao-Wen, Sun, Shu-Jie, Xia
Publikováno v:
Zhonghua nan ke xue = National journal of andrology. 20(9)
To evaluate the clinical efficiency and safety of two-micron laser resection of the prostate-tangerine technique (TmLRP-TT) for the treatment of large-volume (70 ml) prostate in patients with benign prostatic hyperplasia (BPH).This retrospective anal
Publikováno v:
Toxicology mechanisms and methods. 24(7)
Mounting evidence has indicated the crucial role of Wnt5a in the embryonic development including guts. However, the Wnt5a involvement in the process of anorectal malformations (ARMs) remains unclear. In this study, we examined the expression of Wnt5a
Publikováno v:
2010 Second International Conference on Computational Intelligence and Natural Computing.
Kernel Independent Component Analysis (KICA) is a non-linear method for blind source separation (BSS) advanced recently. KICA can't remove the disturbing noise in observed sample signal yet, it has a badness result of feature extraction. For these re
Publikováno v:
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering.
Kernel Independent Component Analysis (KICA) which is advanced recently is a non-linear method for blind source separation (BSS). KICA can't reduce the dimension of multidimensional data when extract its feature, that is to say, KICA can't remove the
Publikováno v:
2010 Second International Conference on Computational Intelligence & Natural Computing Proceedings (CINC); 2010, p349-352, 4p