Achieving the most effective immune response against influenza may require an optimal balance of Th1 and Th2 responses.
It could also be possible that different genes or data sets may require different "optimal" numbers of states.
A robust PEP formation rate in each mesophyll cell, despite the fluctuations averaging ability of the entire tissue, suggests that each cell may require the optimal rate level at each given conditions.
Some genes require optimal expression levels to display their functional properties [25], [26], [27], and GABAB1m and n may also need optimal expression ranges to inhibit function.
For example, bases at the surface end of some in situ synthesized 60 base oligodeoxyribonucleotide probes may not be accessible for hybridization [ 12] while other in situ synthesized probes may require linkers for optimal performance [ 13].
Discusses how the characteristics of hybrid MPI/OpenMP performance may require tuning as the optimal balance of MPI ranks and OpenMP threads may vary.
However, neural tissue of different types and morphologies may require different wavelengths for optimal stimulation such that the optical penetration depth is matched to the targeted excitable tissue.
The wide therapeutic index of targeted agents, non-linear relationship between dose and effect and non-mechanism related toxicity may require definition of an optimal biological dose rather than a maximal tolerated dose (MTD).
Wavelengths of ∼1.87 and 2.12 μm, which exhibit similar absorption characteristics, have been extensively used across different applications, but other types of tissue may require different wavelengths for optimal stimulation such that the optical penetration depth is matched to the targeted excitable tissue.
The main focus is on optimal control but since design of an optimal controller may require a model, a relatively short literature review of modeling approaches is also discussed.
