After determining the final model we verified the significance levels of the total effects, direct effects, and indirect effects among the pertinent variables for L2 listening proficiency using a bootstrapping technique.
In addition, using the nonparametric multiplicative regression (NPMR) model, we verified the fitness of the estimated indicator value of a taxon with its response to the particular environmental variable(s).
Then, to confirm this model, we verified it by a complementary GOF approach, i.e. by delivering antisense Emx2 cDNA to embryo-derived neurospheres, via lentiviral vectors, and scoring consequences of that.
In these models, we verify whether the effect of the infection likelihood persists while controlling for other characteristics of the respondent.
Using mixed effects models, we verified whether matrix or corridor variables best explain the distribution of traits.
As already reported in other experimental models, we verified that c-FLIP ablation in MEFs enhanced the basal caspase-8 activity, which was restored by both the specific caspase-8 inhibitor zIETD and c-FLIPL re-introduction.
In this work, we provide theoretical justification for both the use of and limitations of a second-order model, and we verify our results in practice via a series of case studies.
To analyse the behaviour of our model with respect to the fluctuations in model parameters, we verified our model by performing sensitivity analysis for the rate constants.
These two models do not consider more factors or mechanisms than some existing models, but we verify that the predicated expelled amount is proper by using it as input data for secondary migration and confirming that the modeled volume of accumulated hydrocarbons is close to that determined by exploration.
