Usage characteristics (relationship length and usage experience) moderate some of the links in the research model.
Table 3 provides information about participants' use of major types of TCAM, the length of usage, costs in Rand per month and health care provider awareness about TCAM use.
The traffic demand is decided from the role of a node in the network and explicit information such as queue length, slot usage history, etc.
In addition, the pathway evolution may also be influenced by protein length, codon usage and gene expression.
In addition, protein length, codon usage, gene expression, and protein interaction appear to be important factors to determine the evolution of genes in HOG pathway.
Among current HT users, length of usage (≤ 5 and >5 years) and among past HT users, time since stopping did not influence group differences in sleep indicators (data not shown).
The evolution of individual genes or gene families has been studied extensively, and many factors have been found to determine the evolution of genes, such as protein length, codon usage, gene expression, and protein interaction [ 11- 13].
When expression and homolog evidence are lacking, it is important to train ab initio prediction algorithms using genes representing the true distribution of gene features such as coding sequence and exon length, codon usage and GC content.
Correlations between evolutionary parameters (dS, dN, and ω) and topological factors (i.e., gene position within the pathway, gene expression level, protein length, codon usage bias, connectivity of individual genes, the number of regulatory miRNAs, the length of 3′-UTR) were estimated applying Spearman's rank correlation coefficients.
However, analysis of their lengths, codon usage, and Ribosomal Binding Site (RBS) sequences shows that they are most likely true protein coding genes and not random open reading frames.
