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Pioneer approaches [26] relied on estimating correlation by using a perturbative expansion around the thermodynamic limit in the inverse number of neurons in the network.
In [28] the author considered an alternative way to calculate correlations as a function of the inverse number of neurons (which is known as the linear noise approximation) and applied it to homogeneous populations of identical neurons with random fluctuations in the firing-rates.
The amount of binding was determined and a linear extrapolation of the Total/bound fraction against the inverse number of cells used was performed.
Means and percentages for controls were weighted by the inverse number of controls matched to each case.
For controls, means and percentages were weighted by the inverse number of controls matched to each case.
In this study size was measured as the inverse number of beds, thus allowing for possible non-linearity.
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Across the room, Gregory answers multiple-choice math questions about inverse numbers.
The distance between GO terms corresponds to the inverse numbers of proteins common to the two terms.
The simulated results show that the effect of gravity can be neglected when the inverse Bond number is high, however, when the inverse Bond number is very small, the effect of gravity on oil production is significant.
Numerical results are obtained for various choices of the accommodation coefficients and a wide range of the inverse Knudsen number.
In addition, it is also shown that the correlation between the advancing distance of the two imbibition fronts and the logarithm of inverse Bond number can be modeled by Boltzmann Function and the correlation between the fractional oil production by capillary or gravity forces and the logarithm of inverse Bond number can be modeled by Boltzmann Function as well.
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