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The data obtained for capped and blended tablets were fitted using the power law equation to understand the release mechanism.
The basic equation (De Vault equation) to understand adsorption is derived and a simple design method for binary separations based on the equilibrium theory and linear adsorption isotherms is presented, leading to the representation of separation/regeneration regions.
Viscosity changes relative to the Tg were characterized by using the Williams, Landel, Ferry (WLF) equation to understand the conditions at which viscous flow of amorphous tobramycin would occur to explain the degradation in aerosol performance (Fig. 5).
But, recognizing the 'per unit of forager' aspect of the equation becomes important when using Holling's disc equation to understand the foraging behaviour of modular plants that are more like colonial animals than solitary animals (see McNickle et al. 2009 for discussion).
Since Hasselbalch adapted the Henderson equation to the pH notation of Sörenson, we have used the following equation to understand the relationship between respiratory and metabolic acid base variables: pH = pK × log [HCO3 /(0.03 × pCO2)] (1) This is the Henderson–Hasselbalch equation, and it is important to realize what this equation tells us.
In the next few steps, we'll use this simple example equation to understand why we need to "complete the square" when we derive the quadratic.
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First, a set of dimensionless numbers are derived from physical equations to understand the storage device behaviour: 1/BiFo, Bi/St and Ste.
The difference equations, however, constitute a closed system lacking scalability and intentionality; it is hard to "reverse engineer" the equations, to understand the relations of the variables and coefficients to the dynamics displayed by the simulation.
Only variables with significant bivariate associations (P < 0.05) were included in the regression equations to understand how much variation in the outcome variables can be predicted by the independent variables.
The responses were fitted to the second-order polynomial regression equations (Equation 1) to understand the effect of the isothermal treatment residence time and substrate concentration (in hydrothermal treatment) or the lime concentration (in lime treatment).
In this paper, we consider continuous fractional differential equation systems to understand the spread of obesity in a population.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com