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Recent proposals define a utility function which incorporates the cost of transmission, for example, the price of spending power is considered in a binary variable in [13] and as an inverse factor in [14].
Those models can be divided into two main classes, namely the so-called 'pseudo-mass action models', where the total population is not taken into account as a relevant disease contagious factor and the so-called 'true-mass action models', where the total population is more realistically considered as an inverse factor of the disease transmission rates.
The three above models have two possible major variants, namely, the so-called "pseudomass action models," where the total population is not taken into account as a relevant disease contagious factor or disease transmission power, and the so-called "true-mass action models", where the total population is more realistically considered as being an inverse factor of the disease transmission rates.
The relevant significance of the inverse factor within the unaffected group demonstrates the mechanism of action of this variable.
Independent variables from the logistic regression models were formatted as paired factors, one denoting the variable's presence and an inverse factor representing its absence.
For the affected group, the findings do not support a role for the inverse factor as either a hygiene or motivation factor.
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In addition, an 'ideal' pseudo-inverse factor, which minimizes interaction in the control system, is obtained based on the concept of non-square block relative gain.
For a damaged specimen, the resonance frequency decreases and the inverse quality factor (loss factor) increases proportional with the increasing excitation amplitude.
The method requires computing the pseudo-inverse of a non-square matrix via pseudo-inverse factors.
Specifically, the range of the pseudo-inverse factors arising from the stability condition of the control system is derived.
The algorithm to determine the sparsity pattern of the inverse triangular factor of A22 is obviously useful only in inversion algorithms that use the inverse triangular factor.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com