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The results were considered very satisfactory with global root mean square deviations of 1.82%.
Mean Square Deviations of the quality characteristics are used as DEA inputs.
Root mean square deviations (RMSD) have been used to compare experimental and simulated data.
The conformational changes in the protein were studies using root mean square deviations and secondary structure analysis (STRIDE).
The overall root mean square deviations (ORMSD) of the three models are 2.0788, 2.0451 and 5.9461, respectively.
The root mean square deviations (RMSD) of compositions and temperature are less than 0.005 and 0.7 K, respectively.
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The average root-mean-square deviations were found to be 0.756 and 0.804 Å, respectively.
They consist of all points whose mean-square deviations from a tube of given controlled trajectories are small.
For the network model of heat transfer, the average deviation, absolute average and root-mean-square deviations are -0.9%, 5.5% and 10.9%, respectively.
Root-mean-square deviations were computed for comparisons between reference moisture content, and predicted moisture contents for both static and flowing materials.
We describe some computational methods for solving this problem, and compare the weights and the mean-square deviations obtained by this method and several other weight design methods.
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