Sentence examples for models has clear from inspiring English sources

Every parameter in the proposed models has clear physical meaning.

The parameters for these failure criterion models have clear physical significance and form the failure criterion in a theoretical analysis.

Physical models have clear advantages in the analysis of microarray data, as demonstrated by approaches like that developed by Abdueva et al. [46].

Mouse malaria models have clear advantages for the study of PAM pathology due to the relative short gestational period that allows a reasonable experimental time frame and to the availability of a wide variety of immunological and genetic tools.

While these models have clear advantages, they have not yet been applied to mice, due in large part to the technical difficulty of maintaining intravenous access for prolonged periods (Thomsen & Caine, 2007).

The shared decision model has clear limitations but can be improved by directing attention to the needs of each specific situation [55].

Our model has clear implications for both academics and policymakers and could help design state policies to improve economic growth, especially for the less developed LA economies.

The PD simulation reproduces the observed distribution of TC genesis fairly well; although, the model has clear bias particularly over the north Atlantic for less TC genesis (See Fig. 10 of Kodama et al. 2015).

This model has clear connections with a 'stakeholder model' of global democracy, in which those individuals significantly affected by a global decision should be able to deliberate over how public power is exercised and how power wielders are held to account (Macdonald 2008).

Here, a novel model for effective viscosity in hydrophilic nanopores was proposed by further considering the water-wall interactions and density layering phenomena to modify the capillary filling at the nanoscale, every parameter in the proposed model has clear physical meaning.

In Table 5, we note that when used as a classifier the CAESAR model has clear advantages over the single criterion of the logP at 4.5 (see above) because: 1) it can predict three classes; 2) the accuracy of the prediction is much higher (always above 90% even on the second validation set, while accuracy for logP as from Table 2 is about 84%).