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Fig. 3 Output SMR performance with MPDR and MPDRSS with multipath coming from (15°, 175°) and LOS azimuth (50°) for different magnitudes of correlation coefficient.
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The elevation of the LOS signal varies from 0° to 90° for different magnitudes of the correlation coefficient between the signals and the SMR performance of both MPDR and MPDRSS is shown in Fig. 3.
Several additional scenarios, such as different degrees of stability in the health measure, different magnitudes of the baseline correlation between health and the predictor, and different magnitudes of the association between predictor and change in health could be explored.
Instead, polarity is produced on the local scale by different magnitudes of positive and negative displacements along ⟨11̅0⟩p, which generate a net polarity despite the dominant displacement correlation between neighboring Bi atoms being antiferroelectric.
These different approaches usually produce different magnitudes of RD.
Fig. 4 shows correlations between DICs and MSEs across the three models for data generated under different models, different dynamical regimes, and different magnitudes of noise in the data ranging from low to high.
Second, since different models control for different predictors, each entails a different magnitude of effects.
Moreover, above we also found that the LF has different echelons (magnitudes) of linear correlation with RPK for the EM and EF flights.
cUsing Cohen's (1988) scale of magnitudes of correlations.
We have shown the magnitudes of those correlations in Fig. 4. Fig. 4 Magnitudes of correlations R 1,1, R 2,1, and R 3,1.
This normalization equalized the contribution of different sessions that had different ranges of correlation magnitude, and showed stronger correlation with the BF-ERP delay.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com