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This study compares MAD values and MAD cut-points between two different accelerometer brands (Actigraph GTX3, Actigraph LLC., Pensacola FL, USA, http://www.actigraphcorp.com and Hookie AM13, Traxmeet Ltd ,Espoo, Finland, http://company.traxmeet.com) in adolescents.
If the MAD values and cut-points were found similar with both accelerometers, MAD would offer a universal method also in youth to classify the intensity of PA derived from raw acceleration data regardless of the accelerometer brand used.
Table 3 shows that the whole-stand model (disaggregation method) produced the best MD and MAD values for stand density while the combination method yielded the best FI value.
From top to bottom, relative paleointensity, declination, inclination, maximum angular deviation (MAD) values, the S-ratios, the ratio of ARM susceptibility (k ARM) to magnetic susceptibility (k), and k (red) or k ARM (blue) are shown.
In the upper part, above a depth of 63.18 m, the inclinations are negative (Figs. 5a, c), and the MAD values for the ChRMs are generally less than 10°, approximately 80%% of which are less than 5° (Fig. 6d).
In the lower part, below a depth of 67.05 m, the inclinations are positive (Fig. 5b, f), and the maximum angular dispersion (MAD) values for the ChRMs are generally less than 5°.
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(virtual geomagnetic pole latitude); e MAD value.
Therefore the low MAD value was the result of the averaging of positive and negative variations.
Thus, only decoded modes can be used for a comparison, and the minimum MAD value is selected as the best block.
The departure from traditional video coding is that the MAD value cannot be calculated for each mode, where the minimum value is selected as the best mode.
Regarding this decision, it was possible to observe that, for a significant number of SI blocks, the perspective mode could have a slightly better MAD value than the translational mode without leading to a final better SI estimation.
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