Sentence examples for models we detect from inspiring English sources

In the analysis of book spreading, we provide a novel comparison of diffusion traces with null models, we detect a clear signal of influence in a domain in which the consumption of items is a slow process, and we highlight some factors that foster the adoption of books by individuals.

Using codon based models we detect signals of positive Darwinian selection in approximately 5.3%, 4.9% and 6.0% of the genes on the human, pig and mouse lineages respectively.

In both models, we detected skin lesions a few weeks after birth.

In our assessment, the Bayesian hierarchical approach resulted in the selection of two HAPs in the final multivariable model; however, when modeling the association with spina bifida in the single-pollutant models, we detected 14 HAPs with statistically significant associations with spina bifida, some of which may be false positives.

Using LRR values from each of the five probes as explanatory variables in the logistic regression models, we detected the association with bladder cancer risk for three of them: (rs4147567: p = 8.00 × 10-4; rs2239892: p = 0.01 and rs12068997: p = 0.02) (Table 1).

For the FE model, we detect no relationship.

After applying the constraint-based modeling method to our model, we detected a set of 267 metabolites whose concentrations are predicted to be either elevated or reduced due to 50 possible dysfunctional genes (see Table  S1) [ 34].

Furthermore, as predicted by the model, we detected movement of the unrelated DNA inverted repeat from its initial position to secondary locations.

This issue did not appear to be a limitation in mice, because in some of the models we were able to detect tumors as small as 4 5 mm in diameter (50 mm3) and in another model we detected microscopic tumor burden.

Using in vitro biofilm model, we detected upregulations of virulence and biofilm related genes.

In our model, we detected marked alteration of both these proteins.