The range of validity of the model is analysed, and the results are compared with numerical solutions obtained in the frame of the previous model of the authors, which takes into account both nuclear and ionization energy losses, as well as the coupling between the two subsystems in crystalline semiconductors.
Thus, Psi-square identified the link between two subsystems of T4SS, again resulting in higher sensitivity than earlier approaches.
It is seen that the coupling power between two subsystems cannot be uniquely defined due to "power circulation", in which a group of three subsystems exchange energy.
As we have seen in Section 3.2, Marconi (1997) suggested that processing of lexical meaning might be distributed between two subsystems, an inferential and a referential one.
Furthermore, the coupling powers between indirectly excited subsystems are very small compared to those between two subsystems, one of which is excited.
For example, in the case of a low abundance protein with only 10 molecules per cell, the genome cannot be reduced further than 10 times (minimum size for 10 molecules is 460 Kbp). Figure 3 shows that there is a strong correlation between the full system and the six subsystems in terms of occupancy biases.
In Table 4 are represented different global configurations in DMNs formed by twelve subsystems in function of β and δ.
The three subsystems are described in the following sections.
In other words, when going from half to full coverage in a homogeneous SAM, the shift of the orbital energies induced by the fields that arise from the electrostatic interaction between the two subsystems (the effect discussed in the Electrostatics subsection) is fully compensated by the consequence of depolarization.
Tables 2, 3 and 4 show not only the extent to which the 31 performance models inventoried integrate the three subsystems, but also how each subsystem is operationalized in each model.
