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Sentence examples for model as assessed from inspiring English sources

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All three gels were well tolerated in the VEC model as assessed by tissue viability, electrical resistance, histology, and cytokine (interleukin-8 and interleukin-1 beta) release.

The relationship of within-subject variance was described using a quadratic plateau model as assessed by segmental polynomial regression [15] to determine how many subject measurements were needed before the operator achieved a stable within-subject variance.

Utilizing the assumption that the four measurements made on each subject during this study should be equal, the relationship of within-subject variance was described using a quadratic-plateau model as assessed by segmental polynomial (knot) regression.

The performance of models with homologous sequence reduction set at 99% is shown in Table 3. Again, J48 model built using AAC/DPC/TPC descriptors was the top performing model as assessed via tenfold CV with Ac, Sn, Sp and MCC with 79.40 ± 2.75%, 80.78 ± 1.86%, 77.98 ± 3.20% and 0.59 ± 0.06, respectively, when compared to other J48 models built with different descriptor sets.

Several aspects of the data do not fit the expectations of a neutral model, as assessed by coalescent simulations.

After gap-stripping, Modeltest [40] was used to identify the optimal evolutionary model as assessed by the hierarchical likelihood ratio test.

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Similar(44)

However, acquainting users with a new technology via a paper prototype might affect their mental models, as assessed with the card sorting technique.

At the lower dose that is currently in clinical use (4 mg/kg beginning at 3 h), hemin also improved barrier function in both models, as assessed by both Evans blue and FITC-dextran leakage; however, it was somewhat less potent, reducing Evans blue leakage by about half.

This may indicate that all descriptor sets capture the oligomerization space well and can be used as a features to train predictive QSPR models as assessed via Ac, Sn, Sp and MCC.

Table 1 shows a list of process-function pairs used and the accuracy of the models as assessed by ROC area.

However, this did not improve the quality of the models, as assessed by the value of the Akaike criterion.

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