Sentence examples for models measured with from inspiring English sources

Dendrimer biodistribution in nonbrain tissue and clearance in the HCA dog model were in good agreement with published data for other small animal models measured with radiolabeled dendrimers.

We also recorded the time consumed by our approach on different scales of dental models (measured with a number of mesh points and faces) during experiments, as shown in Figure 9, including the time for (a) dental base cutting, (b) harmonic field precomputing, (c) harmonic field updating, (d) boundary extraction, and (e) total time for dental segmentation.

If none of the predictors increases the explained variance in PD needs with respect to the null model (measured with the r-square statistic) at a significance of α = 0.05 (measured by the partial F statistic), the algorithm stops.

There was the trade-off between %contrast and image noise (CV ) Fig. 3 Relationship between %contrast and image noise (CV) with the reconstruction parameter (96 iterative updates: iteration = 6 and subset = 16) and different post-filters (2, 4, and 6 mm FWHM Gaussian filter) for an old PET camera model measured with the phantoms under flutemetamol condition.

In contrast, recent work [28] demonstrates that 100% oxygen resuscitation increased HI lesion volumes compared with 21% oxygen in a neonatal rat model measured with T2 weighted MRI 24 h after resuscitation.

The predictive capabilities of the various models, as measured with the Harrell C statistics, increased by adding more variables to the models.

Static pressure distributions on the external surfaces of models were measured with a free stream velocity of 7 m/s.

The predictive ability of the models was measured with the Harrell′s concordant statistics (c-index) with 95% CI.

Tables 1 and 2 present the inverse solutions and the corresponding error (in percentage) of each model parameter measured with respect to the true value of this parameter.

In contrast, VTG data used to calibrate the model were measured with a homologous FHM VTG ELISA, which uses polyclonal antibodies prepared from FHM VTG.

The performance of learning between classic SRM and simplified SRM models can be measured with the mean square error (MSE) for normalized weights after training.