Response comparisons reveal that the implemented models capture, with reasonable accuracy, the experimentally-observed behavior of the test specimens investigated.
During each cycle, the model captured costs associated with the particular state a woman occupied during that cycle, and these were tabulated to obtain the total cost for the woman over 10 years.
The resulting model captures with high accuracy short-term and long-term behaviors, and through the use of NetLogo, is available as a community resource, e.g. to further integrate and investigate regulation stemming from pathway crosstalk with apoptosis and specific forms of autophagy.
In particular, only those changes in activity enough to move participants between the two states of the model are captured, with any changes of activity levels within a state overlooked.
By summing these values we imitate a genetic model capturing variants with small to moderate effects [ 33, 34].
However, because more gene models were captured with the MIRA assembly, as assessed by BLAST matches, we used the MIRA assembly for further analyses.
The response curves closely follow the Langmuir isotherm model; the model captures the observations with an R2≥0.97. Figure 3 also shows the clear separation in the responses of a perfect match probe and its related single-, double- and triple-MM probes; again, the location and base identify of mismatches in a class are indistinguishable.
The numerical model captures the experimentally obtained results with minimal error, and predicts the failure modes successfully.
The proposed model captures the creep rate dependence with stress as well as several key micromechanical features such as the dislocation density evolution, the reduced creep rate for high initial dislocation density and the effect of stacking fault energy.
As an example, for the current dataset the model captures the sharp spike associated with a significant plant event after 600 days in Figure 1(a).
