Chimera Donor Cell Search Algorithm Suitable for Solving the Full Potential Equation

2000 ◽  
Vol 37 (1) ◽  
pp. 76-84 ◽  
Author(s):  
Terry L. Holst
1995 ◽  
Vol 48 (11S) ◽  
pp. S150-S157
Author(s):  
Mauri´cio Pazini Branda˜o

This paper reviews recent trends of analysis of aeroacoustic problems via traditional CFD techniques, as well as analysis of aerodynamic problems via modern aeroacoustic methods. Individual methods are described and tendencies of evolution are indicated. A generalized version of the full potential equation is derived. These two complementary forms of research converge towards the integration of Aeroacoustics and Aerodynamics into a single framework, where the computer serves as an integration tool.


2020 ◽  
Vol 34 (03) ◽  
pp. 2327-2334
Author(s):  
Vidal Alcázar ◽  
Pat Riddle ◽  
Mike Barley

In the past few years, new very successful bidirectional heuristic search algorithms have been proposed. Their key novelty is a lower bound on the cost of a solution that includes information from the g values in both directions. Kaindl and Kainz (1997) proposed measuring how inaccurate a heuristic is while expanding nodes in the opposite direction, and using this information to raise the f value of the evaluated nodes. However, this comes with a set of disadvantages and remains yet to be exploited to its full potential. Additionally, Sadhukhan (2013) presented BAE∗, a bidirectional best-first search algorithm based on the accumulated heuristic inaccuracy along a path. However, no complete comparison in regards to other bidirectional algorithms has yet been done, neither theoretical nor empirical. In this paper we define individual bounds within the lower-bound framework and show how both Kaindl and Kainz's and Sadhukhan's methods can be generalized thus creating new bounds. This overcomes previous shortcomings and allows newer algorithms to benefit from these techniques as well. Experimental results show a substantial improvement, up to an order of magnitude in the number of necessarily-expanded nodes compared to state-of-the-art near-optimal algorithms in common benchmarks.


2009 ◽  
Vol 63 (10) ◽  
pp. 821-830
Author(s):  
Hyunkyu Yu ◽  
Youngju Kim ◽  
Takki Yu ◽  
Sungmook Lim ◽  
Daesik Hong

2007 ◽  
Vol 19 (1) ◽  
pp. 142
Author(s):  
K. Inoue ◽  
N. Ogonuki ◽  
H. Miki ◽  
S. Noda ◽  
S. Inoue ◽  
...  

Although cloning animals by somatic cell nuclear transfer is generally an inefficient process, use of appropriate donor cell types may improve the cloning outcome significantly. Among the donor cells tested so far, mouse embryonic stem cells have given the best efficiency in terms of the development of reconstructed embryos into offspring. In this study, we examined whether 2 in vitro-produced pluripotent stem cells—neural stem cells (NSCs) and mesenchymal stem cells (MSCs)—could be better nuclear donors than other differentiated cells. Embryos were reconstructed by transfer of nuclei from NSCs or MSCs with full potential for differentiation in vitro. Most (76%) of the 2-cell NCS embryos developed to the 4-cell stage; 43% implanted and 1.6% developed to term after transfer to pseudopregnant recipients. These rates were very similar to those of embryos cloned from fibroblast cell nuclei. Interestingly, in the patterns of zygotic gene expression, NSC embryos were more similar to in vitro-fertilized embryos than fibroblast cloned embryos. By contrast, embryos reconstructed using MSC nuclei showed lower developmental ability and no implantation was obtained after embryo transfer. Chromosomal analysis of the donor MSCs revealed very high frequencies of monosomy and trisomy, which might have caused the very poor post-implantation development of embryos following nuclear transfer. Thus, in vitro-produced pluripotent cells can serve as donors of nuclei for cloning mice, but may be prone to chromosomal aberrations leading to a high rate of cloned embryo death.


Sign in / Sign up

Export Citation Format

Share Document