Sentence examples for the rationale for application from inspiring English sources

The rationale for application of Q Learning algorithm to the Trust Provenance Graph Representation has been described in "Application of Q Learning algorithm for learning provenance path" section.

This supported the rationale for application of shERα Ad vectors in vivo.

This article focuses on the main criteria that regulate the choice, utilization, and evaluation of the results obtained with specific research methodologies rather than on the speficic components of such methods (e.g. the rationale for and application of specific methods and/or statistics).

Alternatively, if α(b + d) ≥ C, the rationale for the application of personalized medicine would come from higher health benefits yielded by the new treatment.

The rationale for the application of proteomic methods to amyloid typing lies in the relative abundance of amyloid proteins in tissue where, frequently, it is the 'dominant' protein.

This strengthens the rationale for the application of TLR7/8 agonists for the treatment of allergic asthma and respiratory allergies in general, and supports their development for other diseases driven by non-resolving inflammation.

The rationale for the application of proteomic methods to amyloid typing lies in the relative abundance of amyloid protein in tissue where, frequently, it is the 'dominant' protein [ 34– 34].

Altogether, these findings provide novel and important insights on the mechanisms of T cell function regulation by MSCs and help to cement the rationale for their application in the treatment of autoimmune diseases.

Although these issues in themselves do not appear to be the cause of the species identification problems in Hawaiian Hylaeus, they may potentially undermine some of the rationale for broad application of DNA barcoding.

This taken together with Figure 4 – now in the main part of the Results – lays out more clearly the rationale for the application of the bounded evidence-accumulation model to the behavioural data and the specific conclusions that can be drawn from the combination of microstimulation and computational modelling.

In this review, the main technical principles are briefly reported in order to explain the rationale for clinical applications.