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The model achieved a correlation coefficient greater than 98% for sunny days and less than 95% for cloudy days.
It is shown that while the user penetration of our system was below 1%% during this event our methodology nevertheless achieved a correlation factor of 0.83 between the actual crowd density (obtained by counting people on videos) and our system's calculated crowd density.
All replicate samples achieved a correlation coefficient of greater than 0.985 (data not shown).
Intra-carer total OHAT scores achieved a correlation coefficient 0.78 (P < 0.001); inter-carer total OHAT scores achieved a correlation coefficient of 0.74 (P < 0.001).
For instance, M. hungatei strain JF-1 achieved a correlation value of 0.81 with the completely random genome.
For real-value prediction, EASE-AA achieved a correlation between predicted and experimentally measured stability changes of 0.51.
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It has a comparable run-time and achieves a correlation between experimental and rescored values of 0.88 compared to 0.87.
LISA achieves a correlation of 0.81 (and a root-mean-square error of 2.35 ± 0.38 kcal/mol) when tested on 125 complexes for which experimental measurements were realized.
We achieve a correlation of 0.846 between the experimental emitted waveform and simulated waveform when using the probe's physical specifications in silico.
The results show that an antenna separation of 3 or more, represents the wavelength, can achieve a correlation less than 0.5 unless a very strong line of sight exists.
For example, when the number of resolvable paths increases from 2 to 4, the minimum frequency separation to achieve a correlation of 0.3 decreases from 105 to 52 subcarriers, which is approximately two times.
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