8. See Rayo 2002 and McKay 2006 for plural logics that eliminate singular variables in favor of plural ones.
For Frege, objects are the appropriate values for singular variables, and a concept is what is referred to by a predicate.
In this section, we present relationships of singular variables that could be readily and easily measured either using photomicrography or geophysical logging tools and their correlation to more complicated and pertinent physical properties.
An initial analysis investigated the covariates mentioned above as singular variables, and a crude RR was calculated for each variable.
Rather, it is a property of a SSP, and the SSP can only exist if there is a sigmoid-mediated feedback loop among its singular variables.
An initial analysis was performed in which all covariates mentioned above were entered as singular variables, and a crude risk ratio was calculated for each variable.
For y* p) this implies that when p is large, the singular components are highly insensitive to changes in all parameters except the thresholds of the singular variables.
An initial analysis was performed where all covariates mentioned above were entered as singular variables and a crude risk ratio was calculated for each variable.
When this is applied to a SSP, it follows that for the SSP to exist there must be a feedback loop among all the singular variables, mediated by the sigmoidal terms Z j [ 27].
For all 14 models a decrease in p reduces robustness of both singular variables, defined as the minima of CV1 k and CV2 k over all 81 parameter sets (Fig. 5).
Thus, at least for the models investigated in the present paper, if there is a sigmoid-mediated feedback loop among a subset of the variables, and there is a SSP in which these variables are singular, and the sigmoids involved are sufficiently steep, the system will exhibit threshold robustness in this SSP for all the singular variables.
