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Released ODN has the mean diffusion constant D = 1.1 ± 0.2 × 10−6 cm2/s, which signifies that ODN is dissociated from cationic lipids.
Excluding six outliers which displayed significant syneresis, the mean diffusion constant (Dgel) across the entire process space of sample set 1 was 2.42 × 10−10 m2 s−1; approximately 24% of the diffusion coefficient of Ni2+ in unconfined aqueous solution.
Thus, the mean diffusion constant of full-length PKCα was reproducibly slower on the PIP2-containing membranes, but the slowing was at the edge of statistical significance (p = 0.20).
Figure 47d shows a histogram of the diffusion constants, which could be fitted with a log-normal distribution, resulting in a mean diffusion constant of 3.2 ± 0.4 nm/s.
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These include diffusivity, diffusion constant, chemical activation energy, solubility, solubility constant and enthalpy of solution.
Even though such resolved data is often unavailable and one merely has an average parameter such as the mean-square displacement, the diffusion constant or the binding rate constant, one can still benefit from first passage abstractions [ 24, 25] or stochastic simulations portraying random diffusion and directed transport.
The diffusion constant D and transport mean free path L* of the lung parenchyma were estimated by separating the incoherent and coherent intensities in the near field and measuring the growth of the incoherent diffusive halo over time.
This leads to the novel result that the effective diffusion constant is dependent on the mean and variance of the running time distribution but only on the mean of the waiting time distribution.
Another point of interest is that one can model distributions other than exponential with different means and still achieve the same effective diffusion constant through careful selection of variance.
By computing the mean square displacement (MSD) of n,, the collective diffusion constant can be obtained [ 30]: (6) in units of t-1, leading to the single-channel osmotic permeability constant p f[ 30].
Therefore, up to a first-order approximation, the diffusion constant is only dependent on the mean of the waiting time distribution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com