In the present study a simple one- or two-stage model is proposed which directly describes global kinetics and neglects intermediates and radicals.
A neutral-model framework [ 40] that directly describes the distribution of clone sizes in each of the three cell pools: progenitor cells, peripheral blood cells, and sampled blood cells.
Summarizing, the main features and assumptions used in our modeling include: A neutral-model framework [ 40 ] that directly describes the distribution of clone sizes in each of the three cell pools: progenitor cells, peripheral blood cells, and sampled blood cells.
Based on experimental data, an empirical model was developed to directly describe the relationship between methane production, microorganism amount and wall-shear stress.
The main focus of networking approaches is to build target-independent networks, i.e., directly describing or modelling the pair-wise relationships between genes, without relation to the target (a physiological or disease condition).
Blood vessel formation is a partly stochastic process (Jain, 2003) that is not possible to directly describe in our model.
Since interpretations of parameters γ and ξ in ZIP and ZINB models apply to the two latent subpopulations, they do not directly describe the overall population mean.
In this paper we described a maximum likelihood method to infer the parameters of a stochastic kinetic model directly from observations.
For example, the Navier-Stokes equations for fluid flow are a top-down model because they describe, directly, the aggregate fluid properties of the material being studied, and do not delve down into describing the properties or behavior of the molecules that generate the behavior.
It is nevertheless still possible for a digital quantum simulator with a restricted number of qubits to describe fermionic models directly in the thermodynamic limit when the DMFT approach is adopted.
