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A general one-dimensional axial dispersive dynamic model is proposed for computing the variation of the properties such as hold-ups and superficial velocities of all phases, biofilm thickness and biological and chemical specie concentrations.
The assessment of the beam homogeneity has been done by calculating the mean dose of the beam imprint in the RCF and then computing the variation of the dose with respect to that mean dose, similarly as discussed in ref.61. Figure 4 shows the different values of relative dose variation for various thicknesses of targets (Au and Mylar), either in the TNSA or LDCSA regimes.
By computing the variation of the functional J, one has [ 2 〈 x ( b ) − x b, d d ε ( x ( b ) − x b ) 〉 + 2 λ ∫ 0 b 〈 u ( t ) + ε w ( t ), w ( t ) 〉 U d t ] | ε = 0 = 0, where 〈 ⋅, ⋅ 〉, 〈 ⋅, ⋅ 〉 U denote the inner products in X and U, respectively.
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The possibility is open of computing the variations of the reaction time tR (e.g. the so-called 'tail-flick latency', TFL), elicited by changing any of the parameters.
Finally, we propose, and verified experimentally, a simple model for computing the variations of tR, the so-called 'tail-flick latency' (TFL), elicited by changes in either the power of the radiant heat source, the initial temperature of the skin or the site of stimulation along the tail.
Finally, we proposed and verified experimentally a simple model for computing the variations of tR, the so-called 'tail-flick latency' (TFL), elicited by changes in either the power of the radiant heat source, the initial temperature of the skin or the site of stimulation along the tail.
Computing the variations of functions f and f1 induced by swapping was straightforward.
The SMB and EPB sub-models utilize the mass conservation equation to compute the variation of moisture storages in the soil cover and epikarst, respectively.
The 2-dimensional model computes the variation of the shock strength both temporally and spatially and illustrates how this effects the evolution of the energetic particle spectra and intensities.
Afterwards, we computed the variation of the trace measure (TM).
TEC and NmF2 can be used to compute the variation of slab thickness in kilometers (Goodwin et al., 1995).
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