Sentence examples for diffusion expression from inspiring English sources

These measurements and others reported in the literature were compared with simulation results obtained from two models based on different diffusion approaches: the dusty gas model (DGM) equations and a Fickian-type molar fraction-based diffusion expression.

The prefactor D0 in the Arrhenius diffusion expression, found from fitting our data, gave a value for the anion equal to 1.6 ± 0.2 m s 1 and for the cation 1.4 ± 0.2 m s 1.

In this study, we found a diffusion expression pattern of ABCG2 in ACC and the expression level in ACC is significantly higher than that in normal looking tissues which suggested that ABCG2 might be involved in the development process of ACC and played a role in enhancing the proliferation and invasion capabilities of cancer cells.

Use of the measured data to compute flux components of SF6 showed that the magnitudes of diffusive flux component based on the Fickian-type diffusion expressions in terms of molar concentration, molar fraction and mass density fraction gradient were almost the same.

Charge transfer kinetics are described by a Tafel approximation while mass transport is considered using a Nernstian diffusion layer expression.

The mixing rule and collision process are shown to simulate diffusion, and an expression is derived for the equivalent diffusivity as a function of the model parameters.

Molecular weight dependence of the tracer diffusion coefficients follow expression D ∼ Mwx with exponent x = −1.2 ± 0.1 which excludes contribution of reptation to the diffusion.

Bicoid has been described as a classical morphogen that forms a concentration gradient along the antero-posterior axis of the embryo by diffusion and initiates expression of target genes in a concentration-dependent manner in the syncytial blastoderm.

For the analysis of gene expression diffusion patterns, cysts were seeded as described above, in a 35 mm plate containing a 2 mm diameter glass capillary, which was then removed to make a 'well' for seeding sender cells.

For instance, new insights may be gained by revisiting well-known problems, such as the genetic toggle switch [ 28], by considering the effects of wide ranges molecular diffusion in gene expression, in relevant simulation time spans.

In agreement with previous models of the influence of diffusion on gene expression [ 40, 41], we assumed that the amplitude and speed of the gene displacements in space can be neglected compared to the mRNA and protein, so in our simulations, the genes are immobile and only the mRNAs and proteins move via Brownian motion (with identical diffusion coefficients).