Sentence examples for model indicating strong from inspiring English sources

The composite modulus, increasing with the silica nanoparticle content, was further compared with micromechanics methods and exhibited good agreement with the Counto model, indicating strong matrix-particle interactions.

The coefficient of thermal expansion of the composites falls in the upper line of Kerner's model, indicating strong bonding between the diamond particle and the Al matrix in the composite.

The coefficient of thermal expansion of the composites falls in the upper line of Kerner's model, indicating strong bonding between the SiC particle and the Al matrix in the composite.

The coefficient of thermal expansion of the composite falls in the upper line of Kerner's model, indicating strong bonding between the AlN particle and the Al matrix in the composite.

In contrast, the rather low ω ratio of body proteins (e.g. ω = 0.131 in one ratio model) indicates strong negative selection acting on them (Table S2 in the supplemental materials).

In the interaction model, the weighted model indicated stronger evidence for associations with eating home-prepared chicken (OR 1.76, 95% CI 1.22 2.29, p = 0.001) and eating home-prepared and commercially prepared chicken in the previous 5 days (OR 1.63, 95% CI 1.18 2.25, p = 0.003), compared with the unweighted results (Table 1).

Again, the OLS models indicate strong positive relationship with the effect of diversity on weekly wages slightly larger among movers (β = 0.64, p < 0.01) than non-movers (β = 0.61, p < 0.01).

Trajectory modeling identified a 2-group solution as optimal, with the Bayes Factor value (138) indicating strong model selection.

However, in the high frequency region all systems obey the inverse power law (fractal model) indicating a strong presence of fractal components (i.e. the effect of As plates in all systems) and given by [35], (1).

The results demonstrate predictive skill using a stringent validation procedure, however, indicating strong model performance even with this relatively limited observation dataset.

Evidence against the null model (i.e. the one with lower marginal likelihood) is assessed in the following way [39]: 2>2· loge(BF >6 indicates positive evidence against the null model; 6>2·loge(BF)>10 indicates strong evidence against the null model; 2·loge(BF)>10 indicates very strong evidence against the null model.