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This simple lambda-calculus features variables arranged in a hierarchy of strengths such that substitution of a strong variable does not avoid capture with respect to abstraction by a weaker variable.
This analysis was performed in four steps where each step contained a group of variables arranged in a theoretical and practical manner: Step 1 included socio-demographic variables such as age, gender, education, employment, marital status, and pre-tsunami mental health problems.
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The mechanism for this perfect adaptation is that after the perturbation the concentration of the enzyme will vary until it makes the time dependences equal zero by itself, forgoing the more usual process in metabolic regulation that changes in the controlled variable arrange for the steady state to be re-attained in the presence of the sustained perturbation.
In this regard, the experimental variables were arranged based on central composite design.
The variables were arranged in four hierarchical steps.
The variables are arranged such that those explaining most of the variation are listed first and those explaining the least are last.
We also calculated the CPR duration when survival probability dropped to 18%% or when survival probability was half the initial probability (Table 5).> -wrap-foot> > -wrap-foot> cardiopulmonarynaresuscitationion *The display of independent variables is arranged in order of P value.
Once the variables are arranged in descending order, you have the standard form of the equation.
The district mean values for each variable are arranged in descending order.
Due to the small size of the study we were not able to exclude these influencing variables or arrange them in subgroups.
The canonical analysis shows that the variables accepted were arranged in two discriminant functions (or roots).
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