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The simulations were performed using a two-dimensional Navier-Stokes solver in which variable density and temperature-dependent transport coefficients are considered.
In this paper we consider the more general case in which variable density, variable temperature and heat transfer are present, while the Mach number is small.
Four broad categories in which variable stiffness has been applied to morphing are therefore distinguished and detailed: material engineering, active mechanical design, semi-active techniques and elastic structural behaviour.
We also accept formulas in which variable names are complete words, as in {text{distance}} = {text{speed}} cdot {text{time}}.
MCC or Matthews correlation coefficient [36] is a measure of the quality of a binary classification, in which variable to be predicted has two values only.
The effect of HR and temperature were analyzed in a mixed model analysis in which variable = β + β1 (temperature) + β2 (HR) + β3 (temperature × HR).
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In general, of course, you really would like to specify the order in which variables are assigned.
The simplest examples of such models are Boolean networks, in which variables have only two possible states.
Results are shown through two-dimensional maps, in which variables can be seen as clusters or groups of ideas.
A Distributed Constraint Satisfaction Problem (DisCSP) is a constraint satisfaction problem in which variables and constraints are distributed among multiple agents.
For this reason classifications can be only a preliminary step in the study of variables, for they cannot deal elegantly with transitional situations in which variables are to be expected.
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