Qualitative and quantitative identification of L-gulonolactone oxidase activity in some teleosts

1985 ◽  
Vol 16 (3) ◽  
pp. 249-256
Author(s):  
A. K. SOLIMAN ◽  
K. JAUNCEY ◽  
R. J. ROBERTS
Keyword(s):  
Oxidase Activity ◽  
Qualitative And Quantitative ◽  
Gulonolactone Oxidase ◽  
Quantitative Identification

scholarly journals The Effect of Long-Term Impact of Elevated Temperature on Changes in Microstructure and Mechanical Properties of HR3C Steel

2016 ◽  
Vol 61 (2) ◽  
pp. 761-766 ◽  
Author(s):  
A. Zieliński ◽  
M. Sroka ◽  
A. Hernas ◽  
M. Kremzer
Keyword(s):  
Mechanical Properties ◽  
Elevated Temperature ◽  
X Ray ◽  
Qualitative And Quantitative ◽  
Microstructure And Mechanical Properties ◽  
Transmission Electron ◽  
Quantitative Identification ◽  
Working Parameters ◽  
Long Term Impact

Abstract The HR3C is a new steel for pressure components used in the construction of boilers with supercritical working parameters. In the HR3C steel, due to adding Nb and N, the compounds such as MX, CrNbN and M23C6 precipitate during service at elevated temperature, resulting in changes in mechanical properties. This paper presents the results of microstructure investigations after ageing at 650, 700 and 750 °C for 5,000 h. The microstructure investigations were carried out using scanning and transmission electron microscopy. The qualitative and quantitative identification of the existing precipitates was carried out using X-ray analysis of phase composition. The effect elevated temperature on microstructure and mechanical properties of the examined steel was described.

scholarly journals Distribution of genotype network sizes in sequence-to-structure genotype–phenotype maps

2017 ◽  
Vol 14 (129) ◽  
pp. 20160976 ◽  
Author(s):  
Susanna Manrubia ◽  
José A. Cuesta
Keyword(s):  
Dna Sequences ◽  
Computational Study ◽  
Protein Structures ◽  
Power Law Distribution ◽  
Rna Sequences ◽  
Qualitative And Quantitative ◽  
Alternative Phenotypes ◽  
Genotype Space ◽  
Quantitative Identification

An essential quantity to ensure evolvability of populations is the navigability of the genotype space. Navigability, understood as the ease with which alternative phenotypes are reached, relies on the existence of sufficiently large and mutually attainable genotype networks. The size of genotype networks (e.g. the number of RNA sequences folding into a particular secondary structure or the number of DNA sequences coding for the same protein structure) is astronomically large in all functional molecules investigated: an exhaustive experimental or computational study of all RNA folds or all protein structures becomes impossible even for moderately long sequences. Here, we analytically derive the distribution of genotype network sizes for a hierarchy of models which successively incorporate features of increasingly realistic sequence-to-structure genotype–phenotype maps. The main feature of these models relies on the characterization of each phenotype through a prototypical sequence whose sites admit a variable fraction of letters of the alphabet. Our models interpolate between two limit distributions: a power-law distribution, when the ordering of sites in the prototypical sequence is strongly constrained, and a lognormal distribution, as suggested for RNA, when different orderings of the same set of sites yield different phenotypes. Our main result is the qualitative and quantitative identification of those features of sequence-to-structure maps that lead to different distributions of genotype network sizes.

Sign in / Sign up

Export Citation Format

Share Document