Fractional (non-integer order) calculus can provide a concise model for the description of the dynamic events that occur in biological tissues.
Moreover, identification of the biomarkers will help establish a concise model for pSS diagnosis.
Vilar et al. proposed a concise model for the TGF-β receptor trafficking network [16].
By contrast, we use a more concise model of T cell dynamics that incorporates widely accepted physiologic relationships between different T cell populations.
For a concise model evaluation, the different phases of the hydrograph have to be considered in multi-metric frameworks with appropriate performance metrics.
However this will be critical, as to focus on one stem cell theory at the expense of others risks discounting biology with therapeutic potential, in favour of creating a concise model.
Such a concise model, having a small parameter space, is well suited to exploring the developmental implications of changes in these parameters.
Concise model of biofiltration based on a linear driving force concept, that takes into account adsorption of pollutant in the support phase and its biodegradation therein with the rate governed by a modified three-parameter Monod-type expression, was shown to be suitable to portray the transient behavior of biofilters arising from the periodic operation.
Referring to the concise model of signal processing in the TGF-β ligand-receptor network [16], we assume that the rate of sequential formation of ligand-receptor complex is proportional to the amount of ligand, type I receptor and type II receptor.
A concise electrochemical model of the key reactions and appropriate boundary conditions are presented in conjunction with the development of a computational fluid dynamic (CFD) model of this system that accounts for coupled flow, species transport and reaction kinetics.
Recently Vilar et al. proposed a concise computational model of signal processing in TGF-β superfamily ligand-receptor network [16].
