The exponent, z, of the mean chain-size growth, S t)∝tz, is practically not affected by the flow velocity.
In the second model, we determined which of the three network-level variables (RDS network size, mean chain length and frequency of meeting the recruiter) were correlated with HIV prevalence and added these to the four individual-level variables (table 3).
Table 5 Average lag with chain size 1% under different volumes Chain size Settings Avg.
In our simulation, three representative states of a polymer chain during the escaping process are studied, and some statistical properties of the chain size and the chain shape, such as mean-square radius of gyration per bond 〈S2〉/N and the shape factor 〈δ∗〉 are investigated.
We investigate the chain size and shape of adsorbed compact chains, such as mean-square end-to-end distance per bond 〈R2〉/N mean-square radii of gyration per bond 〈S2〉x/N and 〈S2〉y/N, shape factors 〈δ〉, and fraction of adsorbed monomers fa in order to illuminate how the size and shape of adsorbed compact chains change during the process of tensile elongation.
The chain size and shape of adsorbed protein-like chains, such as mean-square end-to-end distance 〈R2〉, mean-square radius of gyration 〈S2〉xy (or 〈S2〉z), shape factors 〈sfi*〉(i= 1,2,3), and 〈δ*〉 are discussed here.
Table 4 Average lag under different chain of recipients sizes (vol 1) Chain size Avg.
We first calculate the chain size and shape of compact chains transporting through an infinite channel, such as mean-square end-to-end distance per bond 〈R2〉/N, mean-square radii of gyration per bond 〈S2〉/N, 〈S2〉xy/N and 〈S2〉z/N, and shape factor 〈δ〉 for the changes in the size and shape of compact chains during the translocation process.
Aggregating intermediate sized chains often has similar performance to analyzing a complete chain size distribution.
We further call the chain size network diameter.
The mean chain length and percentage of efficient chains (chains ≥ 8) as well as response rate were positively correlated.
