For example, the application of the model by [1] in a study with 31 samples returned zero findings in six categories, which illustrates that simpler models with less categories enable a more concise typology.
While more complex controllers such as MPC could potentially lead to improved performances considering more design variables, complex models and extensive commissioning, this study illustrates that simpler control strategies such as RBC2 can also lead to satisfying results.
Figure 5 illustrates that the simple ODE-system described here features paradoxical treatment effects.
Figure 1 also illustrates that the simple use of functional information already contained in Gene Ontology allows for compiling molecular classifiers.
This illustrates that the simple architecture encapsulated in the threshold model cannot cope optimally with multiple selective pressures.
This illustrates that the simple approach may yield a good approximation and that it is not always necessary to perform tedious calculations to achieve a decent parameter-performance trade-off.
Our example illustrates that not only simple analyses on categorical data in terms of computing relative risks, but also Kaplan-Meier survival analyses, may confer a potential bias when the analysis is broken down by polarity of relapse.
This chapter illustrates that by using simple analysis techniques, such as the average Q-factor, one may employ asynchronous histograms to derive information that would otherwise require a complete optical receiver as well as a BER counter to estimate.
Using (20) and (24), the transfer function of PAR is:
