Sentence examples for obtaining parametric from inspiring English sources

The numerical results show that this effect has large influence when the forcing frequency approaches to the natural longitudinal frequency, obtaining parametric instability regions substantially wider.

Better methods for obtaining parametric images of tracer kinetics will support a broader range of Nuclear Medicine biomarkers in clinical medicine.

Using the survey data produced by the students, a BIM level 2 model is created, using laser scanning outputs, CAD drawing and photographs available online on the CyArk database.6 The embedding of metadata has been obtained through modelling of architectural elements in GDL, obtaining parametric objects organised into libraries and referenced inside the models.

The obtained parametric images showed that the CBF reduced and OEF elevated regions in the transmission-based method can also be identified with the emission-based method.

Logan plot is a linearization method to obtain parametric images for reversible tracers and is one of the most frequently used linear methods.

Setting F ( x, y, μ ) = 〈 T ( x, μ ), y − x 〉 : = ⋃ t ∈ T ( x, μ ) 〈 t, y − x 〉 in (6), we obtain parametric generalized vector quasi-variational inequalities (PGVQVI) in the case of set-valued mappings as follows: Find  x 0 ∈ K ( x 0, λ )  such that  〈 T ( x 0, μ ), y − x 0 〉 ⊆ Y ∖ − int C, ∀ y ∈ K ( x 0, λ ).

Furthermore, by specifying qualitative dynamics, one may obtain parametric results.

The parametric allele frequencies are obtained in each of a pair of populations, and they are then averaged to obtain parametric allele frequencies for the total population.

In order to maximize the sensitivity of lesion count and volume, lesion masks from each contrast were merged into a single mask (lesion union mask), as reported by Kober et al. 20 The lesion union mask and the ROIs masks were then registered to the T1, T2, T2*, and MTR maps to obtain parametric values in lesions and NA tissue in each ROI.

After obtaining four parametric descriptions of the data, we then compare a goodness-of-fit measure of each to determine which model fits best.

In general only a small number of pseudo-times are used obtaining a parametric baseline representation.