In the Simplified cAMP model A, a slight dip in the level of cAMP can be seen before the cAMP level reaches a steady state after a pulse of glucose.
Compared to the dual-frequency estimation model, a slight improvement is observed for the troposphere precision.
Further, an external prediction set consisting of 57 drugs and drug derivatives was used to estimate the true predictive power of the reported 3D-SDAR model – a slight reduction of the overall accuracy down to 0.77 was observed.
We model a slight annual C sink from the upper peat to the deep peat; however, these values are a major source of uncertainty.
This feature can model a slight blur in perception and helps to avoid the random extinction of strategies; it also ensures a complete exploration of the strategy spectrum, given that the pairwise comparison does not introduce new strategies in the population.
In the gender-classification model, a slight decrease in accuracy was found in the SG processed spectra.
Therefore, we speculate that in our cellular model, a slight decrease of MUC4 expression could potentiate AP-2 α pro-apoptotic effect.
Indeed, in the numerical model, a slight variation of one of these parameters may lead to detection and repair of a crack that was initially not repaired (and reciprocally), leading to a discontinuity in the performance function.
For the evaluation of calving traits, multi-trait models show a slight advantage over univariate models.
Kappa measures of agreement were also calculated, indicating 70 80% classification concordance between models, with a slight tendency for the linear and logistic models on the one hand, vs. CART models on the other, to agree more among themselves (75 80%) than with models of the other type (70%) (not shown otherwise).
