Sentence examples for model as high from inspiring English sources

The highest concentration of EC, with a value of 7050 µs/cm, is sampled in the areas of the east and northwest of the Ghaemshahr-juybar aquifer, which are classified in the CSI-Opt model as high and very high vulnerability levels.

Then, the electrical behavior should comply with the BC model as high porosities (>50%) should be reached.

Eventually, logged wage levels have been considered as explanatory variable in the model, as high wages may go along with a high scope of CVT activities to reduce turnover.

However, the expression of stretch activated TRP channels was not consistent with such a model as high expression levels for these genes were already found at non-mechanosensitive stages.

*True positive (yes/yes) designates cell identified by Dynamic Continuous-Area Space-Time (DYCAST) model as high risk before or on the date of onset of illness of earliest case located within cell.

We observe this in rules indicating a threshold on positive surface patches and surface propensity on K. Finally, selectivity for the lipid-head group PC in C2 domains is achieved through aromatic and aliphatic surface residues (i.e. observed in cPLA2), represented in the model as high surface propensities of amino acids H and W being indicative of membrane binding (Cho, 2001).

When there was no dominance, response to selection for the dominance model was as high as for the additive model, indicating robustness of the dominance model.

The overall risk prediction accuracy rate of our model was as high as 60%.

In this work, etch rates of hexatriacontane, used as a model polyolefins, as high as ∼10 mg s − 1 m − 2 in late O2 post-discharge are obtained at 333 K where no significant UV nor VUV irradiation occurs.

In most of the comparisons, it achieves predictive power and model separation as high as the optimal hold-out partitioning scheme.

The external prediction accuracy for binary models was as high as 91 96%; for continuous models the mean coefficient R2 for regression between predicted versus observed values was 0.76 0.79.