Sentence examples for models showing high from inspiring English sources

Adsorption binding isotherms were evaluated using Langmuir and Freundlich models, showing high adsorption capacity for both inorganic and organic mercury species.

Additionally a data set of natural experiments has been implemented into surrogate models showing high efficiency in the estimation of the post-buckling behavior of the stiffened composite shells (panels).

Therefore, alternative RGD compounds have been sought after, such as a one-step-labelled positron-emission tomography (PET) tracer,18F-AIF-NOTA-PRGD2, which was also found to reflect ischaemia-induced angiogenesis in a rat model [7].68Ga-NODAGA-cyclo RGDyK) and 68Ga-TRAP(cyclo(RGDfK))3 have been evaluated for αvβ3 imaging in tumour models, showing high target-to-background ratios [7].68Ga-NODAGA-cyclo RGDyK

To select the best ENMs from among the replicate model runs, we followed Anderson et al. [43] in prioritizing low-omission models for further consideration (the 20% of replicate models showing lowest extrinsic omission error), and then retaining the central 50% of the distribution of areas predicted present to avoid models showing high commission error rates.

This approach is based on observations that in vitro models showing high sensitivity to PARP inhibitors often have BRCA and PTEN deficiencies [ 7, 8], copy number variations involving BRCA1 and PARP1 [ 32], and/or hypermethylation of the promoter regions of genes BRCA1 and FANCF [ 20].

As a result, all six models show high MBE and RMSE values and percentages for north-facing surfaces.

Some models showed high variability which was presumably due to spatial heterogeneity, temporal variability or sampling uncertainty.

The obtained models showed high performance in both internal and external validation indicating their robustness and predictive ability.

Estimated breeding values (EBVs) of the two types of models showed high and positive correlations (0.92 0.99), which meant that these models showed similar utility for predicting breeding value.

These models showed high stability to data variation in the leave-one-out cross-validation procedure (q2 = 0.912, scv = 0.289 and q2 = 0.957, scv = 0.211).

However, both models show high conservation at many positions and a marked signal for hydrophobicity.