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Now, we will use the approximation of the nearest neighbours, which is typical for the one-dimensional molecular structures, when all double amounts of the functional (6) will only take into account the summands, which correspond to the neighbouring atoms: m = n + R n, where R n is the distance between neighbouring atoms (this distance may be different for different values of n).
We will use the approximation of weak non-specific binding throughout the paper.
With this assumption we use the approximation of Satterthwaite [ 65], in which we model S KY (1) by a scaled chi-squared random variable,, where the constants a i and b i are chosen to match the first two moments.
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We now use the approximations of Equations 11 and 12 to simplify the results given above for the highly polymorphic limit.
We calculate the Gini coefficient, G using the approximation of the Lorenz curve, where it is approximated on each interval as a line between consecutive points.
The Probability score function uses the approximation of the branching structure of the underlying process.
Using the approximation of for very small, the above sum rate becomes (28).
Again by using the approximation of for very small, the above sum rate becomes (32).
To decide orifice position, we used the approximation of orifice deformation shape.
The internal resistance and electrical capacitance of PS-based structures were determined using the approximation of the impedance spectra.
It uses the approximation of a common distance by some pre-determined distances given by so-called dividing points.
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