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In this work the represented probability density distributions of the quantities of interest are obtained as linear convolutions of the computed normalized histograms collecting all the values of each quantity found in the production runs. We used Scott's choice (Scott, David W. (1979). "On optimal and data-based histograms". Biometrika 66 (3)) to compute the histogram bin with h, that is: h = 3.5s/n1/3, where s is the sample standard deviation and n is the number of collected values
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Our results and our main conclusions essentially derive from the stacking interactions between the porphyrins and the bases, and are thus unlikely to be dependent on the ribonucleic backbone
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Our results and our main conclusions essentially derive from the stacking interactions between the porphyrins and the bases, and are thus unlikely to be dependent on the ribonucleic backbone.
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