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Interestingly, similar power-law dependences have been observed during sleep-wake transitions in vivo when one measures the distribution of permanence times in the wake state [22], [23].
Here, however, we have employed a probabilistic approach which is very appropriate for the computation of the distribution of permanence times.
The distribution of permanence time for the total thymocytes and for each differentiation stage (DN, DP, and SP cells) can be seen in Figure 4.
A complete analysis of this simple mathematical model depicts, both numerically and within a theoretical probabilistic approach, the appearance of power-law dependences in the distribution of permanence times in the up state.
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The simplifications assumed by such model allows to obtain some analytical derivations for the quantities of interest, and concretely for the probability distributions
All these conditions may be easily achieved (up to some point) with realistic values of the model parameters, indicating that power-law distributions of the permanence times in the up state are plausible to be found in actual cortical media.
For every subpopulation, we included the gender distribution and the mean time of permanence in the group.
All distributions are concentrated close to the respective average times, but there are times of permanence that can reach months, as seen in DN cells.
They speak of permanence.
An assumption of permanence.
The sound of permanence".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com