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The person who threw the dice was rewarded with as many coins as he or she rolled; the other, meanwhile, was paid the difference between the maximum possible roll of 12 and what their counterpart has reported.
The entropy functions are used to identify optimal trade-offs between the maximum possible information content and the minimum shared information among stations.
Peak signal-to-noise ratio (PSNR) is the ratio between the maximum possible power of original speech signal and the power of encrypted signal [23].
PSNR refers to the ratio between the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation.
Peak signal-to-noise ratio (PSNR) measures the ratio between the maximum possible power of a signal (within its range) and the power of corrupting noise.
Peak Signal to Noise Ratio (PSNR PSNRR is the ratio between the maximum possible power of a signal and the power of corrupting noise that affects the fidelity of its representation.
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The logarithm of the CAI [ 21] can be derived from the SCB by calculating δ ij with a non-optimized table (f n) showing no bias among synonymous codons, then calculating the difference between SCB and the maximum possible value given its amino acid composition, and finally dividing by the number of codons in the ORF, ignoring methionine and tryptophan.
The clustering coefficient of a node is the ratio between the number of existing links between its neighbors and the maximum possible number of links between them.
Domain scores were calculated by dividing the difference between the obtained score and the maximum possible score by the difference between the maximum and the minimum possible score.
The proportionate agreement between these two SRVs is defined as the number of same judgments between these two vectors normalized by the maximum possible number of different judgments between two SRVs whose length equals n: PAleft {R}_{a,s},{R}_{b,s}right)=1-frac{sum limits_{i=1}^n{left({a}_i-{b}_iright)}^2}{n}.
Normalized gain is calculated by dividing differences in pretest and post-test values by the difference between the pretest value and the maximum possible score, and is frequently used in pretest/post-test analyses (Hake [2002]).
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