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In particular, NMR parameters can be used to define the diffusion of domains within modular multidomain proteins, connecting the amplitude of interdomain motion to the architectural ensemble derived from SAXS.
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However, for the final cell-cell communication network we intended to significantly limit and thereby spatially-define the diffusion of the signaling molecules.
Of these, only the geometrical parameters and those that define the diffusion length of components can be set directly based on experiments.
With the diffusion kernel K = (k uv ) n × n, we define the diffusion proximity of two domains u and v as DK u, v) = k uv, i.e., the corresponding element in the diffusion kernel.
Overall, the high viscosity and cellularity of intracranial abscesses are the main biological factors that define the diffusion and perfusion characteristics of these lesions.
For the execution of UDS, two UDFs were also required as they define the diffusion coefficient and source term of particle flux equation.
It is found that the flux increases when one of the parameters defining the diffusion model, the pseudo-diffusivity, is increasing or when the other parameter defining the diffusion, the order of fractional differentiation, is decreasing.
Before defining the diffusion kernel, consider the meaning of 'diffusion on a graph'.
Although this spectrum suggests that the bulk of the observed signal arises from residual monomers in solution rather than the fibrils, a more detailed study was nevertheless carried out using a series of pulsed-field gradient (PFG) measurements to define the effective diffusion coefficient Deff of the species giving rise to the resonances.
The width of the step < s > enables us to define the length of diffusion of the nickel at various T A. The obtained diffusion lengths are shown in Table 3. Thermal treatment of the Ni grid is known to influence the rates of oxide growth during nucleation and nanowall formation.
Now, define the time t diffusion of the 'influence' of genotype x ~ on genotype x to be: (3) k x ~ (t, x ) = k x ~ (t − 1, x ) + ∑ | x − x ′ | = 1 α [ k x ~ (t − 1, x ′ ) − k x ~ (t − 1, x ) ], where α is a constant rate of diffusion and each summand is the differential gradient of the 'influence' between genotypes x and x′.
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