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Latency to reach the food data were right skewed and were transformed using a reciprocal transformation.
The dependent variables were transformed using logarithmic, squared, or reciprocal transformation when required.
To fit the residuals of our model to a normal distribution we transformed all our variables as follows: for the approach latency we used reciprocal transformation when analysing the data of the alone and pair conditions and the inverse square root for the pack condition data.
Chen et al. [3] established a reciprocal transformation between the two-component Camassa-Holm system and the first negative flow of the AKNS hierarchy.
SUVmean of the muscles showed a skewed distribution (>1), which is why a reciprocal transformation was carried out prior to the analysis.
In [2], Hone and Wang gave a matrix Lax pair for the Novikov equation and showed how it was related by a reciprocal transformation to a negative flow in the Sawada-Kotera hierarchy.
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By attributes and functions I mean the movements of these and of all other things in which they have power in themselves to cause movement, and also their alterations and reciprocal transformations.
To normalize the skewed distributions, logarithmic transformations or reciprocal transformations were applied when needed.
Since the double-reciprocal transformations of the original data set were parallel, the entire data set was globally fitted by non-linear regression to the equation describing a Ping Pong mechanism.
Step 5: Discretize the reciprocal (hodograph) transformation and transform the (semi- discrete CD semi- discrete disCDete reciprocal (hodograph) transystemtion.
Step 3: Discretize the reciprocal (hodograph) transformation and transform the discretized Lax pair of the (semi- discrete CD semi- discrete disCDete reciprocal (hodograph) transystemtion.
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