Sentence examples for on site strength from inspiring English sources

This paper analyzes why and how nondestructive testing (NDT) measurements can be used in order to assess on site strength of concrete.

The ExonScan software was used to search the COL5A1 N-propeptide encoding region for candidate exons based on splice site strength and the presence of SREs [30].

More specifically, none of these three "affected" exons (exon 5 6 7) were predicted as possible exons by the ExonScan software, an algorithm based on splice site strength and the presence of splicing regulatory elements.

These results confirmed that it is the weak 5′ splice site that ensures that the wild-type pseudoexon is normally not activated, and that activation depends on splice site strength.

Another way to view the dependence of RIF on splice site strength is to compare the frequencies of splice sites with different S&S scores in the two RIF groups (Table 2).

We also considered two comparisons for each of 5' and 3' SS based on splice site strength scored by the position-specific weight matrices and applied the 1st and 3rd quartiles of all known splice sites as the cutoffs for weak and strong splice sites: 3) weak versus strong splice site exons and 4) strong versus weak splice site exons.

Thus the analysis of retained introns in human cDNA, exons skipped due to mutations in splice sites and exons with cryptic sites produced results consistent with the intron definition mechanism of splicing of short introns, co-transcriptional splicing, dependence of splicing efficiency on the splice site strength and the density of candidate exonic splicing enhancers and silencers.

The effect of Brønsted acid site strength on the liquid-phase conversion of pseudoionone to ionone isomers (α-, β- and γ-ionone) was studied on resin Amberlyst 35W, silica-supported heteropolyacid (HPAS) and silica-supported triflic acid (TFAS).

In a study by Bleken et al., no significant effect of acid site strength was found on the product distribution in the MTH reaction.

A one-parameter model of catalyst deactivation, based on the distribution of acid site strengths, is proposed.

The efficiency and specificity of splicing depends on the combination of natural splice site strengths and the binding of splicing regulatory proteins that orchestrate exon recognition.