Sentence examples for models as summarized from inspiring English sources

Nevertheless, the conformational variation of the Arf1-GDP-GEF complexes differed significantly for the three different models, as summarized in the first column of Table 1.

The comparison with the scaling behavior predicted from conventional fracture models as summarized in Figure 5, and the characteristic failure mechanisms highlighted in Figures 6 8 illustrates the distinct behavior of alpha-helical protein materials.

Thus, accumulating evidence suggests that decreased Aβ42 relative to shorter Aβ production affects the amyloid cascade and improves cognitive performance in TgAPP models, as summarized in Table  3.

In this section we describe our experimental setup for analysis of leukocyte transmigration in BCSFB in vitro models as summarized in Figure  1.

Results for the final regression models, as summarized in Table 3, showed that youth age accounted for unique variance in DSMP-SR (adjusted R = 0.087; standardized β = −0.175) but none of the other outcomes.

On the other hand, 14,515 (42.9%) P. peruviana cDNAs were mapped to the S. tuberosum genome, representing 10,166 gene loci and 10,992 transcript models, as summarized in Table 6.

Secondly, the server.R script processes the data and builds the model as summarized by the following pseudocode: 1. Import R packages   2.

Therefore, computational complexity of the non-linear models implemented in our study is comparable to that of the linear GBLUP model, as summarized in Table  6.

The odds ratios with 95% confidence intervals were calculated in order to assess the adjusted risk of independent variables, and those with p < 0.05 were retained in the final model As summarized in Table 1, the majority of children lived in rural areas (72.7%).

Certain segments in each structure (the N-terminus, the C-terminus, and a portion of the L2 loop; side chains of some surface residues) appeared to be disordered and were accordingly excluded from each final model as summarized in the Supporting Information.

The least squares estimate of the parameter, λ k, is equal to the singular value associated with the eigenvectors, u k and v k, in the singular value decomposition of the interaction matrix, M. The square of this singular value is equal to the sum of squares explained by the multiplicative interaction component in the ANOVA decomposition for this model as summarized in Table 6.