Sentence examples for modelling has revealed from inspiring English sources

Mathematical modelling has revealed that a population of degenerate systems spontaneously manifest self-organization patterns that do not mirror incoming signals or the distribution of resources [ 70, 71].

Consistent with this idea, mathematical modelling has revealed that lowering Tld processing activity favours a more defined BMP peak, due to an increase in BMP shuttling to the dorsal midline (Peluso et al., 2011).

Crystal structure modelling has revealed that position T790 is located in the ATP-binding pocket of the catalytic region and appears to be critical for the binding of erlotinib and gefitinib.

Modelling has revealed that RyR cluster behaviour may relate to their size; small clusters are proposed to have lower levels of allosteric regulation via coupled gating and so fire more readily, contributing more to diastolic release.

Cell sheet transplantation onto damaged hearts in several animal models has revealed improvements in heart functions.

The microstructure model has revealed the effect of braiding angle on the thermal expansion behaviors, interfacial stress and distribution.

A mutant c-met/HGF receptor knockin mouse model has revealed a role for HGF in the postnatal development of the cerebellum.

Further, extension of the analysis by developing a mathematical model has revealed a definite improvement in brake thermal efficiency which ultimately affects the fuel economy by diminishing frictional power in the system with the introduction of nanoparticles into the lubricant.

Genetic analysis of Lats/Wts family genes using Drosophila and mice models has revealed their role as negative growth regulators and tumor suppressors in animal (Visser and Yang, 2010; Harvey et al., 2013; Yu and Guan, 2013).

Using the model has revealed a previously unidentified flaw in the DNP3-SA protocol that can be exploited by an attacker that has access to the network interconnecting DNP3 devices.

The developed model has revealed more dynamic battery behaviors related to the variation of the microstructure such as particle shape, tortuosity, and material composition while the corresponding result from P2D shows a monotonous change within different structures.