The exchanges between patients and psychologist show that this interaction mobilizes an integrated system of psychological functions, which is governed by the communicative function.
We assume that the dataset X = {x i } consists of independently and identically distributed random variables that are governed by the distribution function F x).
In particular, by the analysis of the solutions obtained which are invariant with respect to the symmetries of Case 1, we can observe that, as shown in Figure 1, the behavior of solution (25) is governed by the Bessel function which is decreasing with increasing argument.
With regard to this, we note that the Bohmian evolution of particles, which is always governed by the wave function and is always fundamentally quantum, turns out to be approximately classical when the relevant de Broglie wave length, determined in part by the wave function, is much smaller than the scale on which the potential energy term in Schrödinger's equation varies (see Allori et al., 2002).
The rate of decrease is governed by the cosine function.
It is also governed by the OH-function position, so that, particularly in ethyl acetate, the closer the hydroxyl group to the unsaturation, the higher is the conversion rate of the terpene.
The transitions of other microstates to the absorbing state are governed by the propensity functions for the corresponding transitions in the underlying biochemical network.
Hematopoiesis is governed by the combined functions of numerous TFs, complicating attempts to establish simple approaches toward transdifferentiation into this lineage.
We consider the network model which consists of a family { B1, B2,..., B m } of BNps governed by the corresponding functions, each BNp being referred to as a context.
The different state transitions were governed by the following functions (C.N. = Log2 ratio copy number): Normal → High: C.N. > Median + Threshold Normal → Low: C.N. < Median − Threshold Low → Normal: C.N. > Median − Threshold + Tolerance * (Threshold) High → Normal: C.N. < Median + Threshold − Tolerance * (Threshold) The threshold we used was twice the Median Absolute Deviations MADD).
A Boolean network with n nodes can be generally represented as follows, x 1 (t + 1 ) = f 1 (x 1 (t ), …, x n (t ) ) ⋮ x n (t + 1 ) = f n (x 1 (t ), …, x n (t ) ) where x i, i=1,…, n represent the nodes, and the dynamics of the nodes are governed by the Boolean functions f i, i=1,…, n.
