Sentence examples for models allow quantitative from inspiring English sources

These models allow quantitative analysis under controlled conditions, but revealed trends need in vivo validation in the types of vessels and vascular areas of interest.

21– 23 Factors to be taken into account for SRM treatment involve tumor size at the time of diagnosis as well as tumor proliferation rate; 55% to 60% of SRMs are indolent RCC and 20%to25%5% are progressive RCC. 24, 25 Considering preoperative progression factors, these models allow quantitative detailing of the risks of recurrence, metastasis and survival.

Thus this model allows quantitative measurements of the force applied during the simulation of a microcannulation procedure.

The rock physics modeling allowed quantitative prediction of relationship between porosity, saturation (gas, oil and water), clay volume and the elastic properties.

The model allows quantitative evaluation of the complex patterns of screening that are actually observed and the relative importance of the different components of such screening programmes.

In particular, our model allowed quantitative predictions for the metabolic fluxes for each strain in coculture, revealing temporary cross-feeding as an emergent property of the evolved community (Treves et al., 1998).

In vitro models do allow quantitative assessment of internalization and probing cellular pathways by pharmacological and genetic inhibitors.

It is important to point out that this model does not allow quantitative predictions of higher-order MPA from OPA or TPA data, but it gives a qualitative to semiquantitative description of the behavior of the different properties.

Previous tests of Van Valen's [5] niche variation hypothesis have used morphological measurements or resource use [26]; our hierarchical models allow a quantitative evaluation of this hypothesis using mixing models with stable isotope data.

More sophisticated models allow fully quantitative calculation of both potentials using this approach ([ 83, 84] and A.A. Gerencser, C. Chinopoulos, M.J. Birket, M. Jastroch, C. Vitelli, D.G. Nicholls and M.D. Brand, unpublished work).

The particular advantage of these models is that they allow quantitative assessment of the capacity of pharmacological agents to influence survival of RGCs after ON injury.