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We illustrate the effect of increasing M in Fig. 6.
The arrows indicate the direction of increasing m.
Tables 1 and 2 show the effect of increasing M and K on accuracy.
Figure 7 illustrates the effect of increasing M, the number of clusters, on the performance of the fusion rules.1 It is noted that when the number of clusters is small, the OCR resembles the CR in performance.
An alternative to the labour-intensive option of increasing m, is to increase K – although no more expensive, a few crosses with a large K is less risky than many crosses with a smaller K[ 22].
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With increasing M, velocity of the nanofluid decreases.
We computed the metrics around each data location using a set of circular buffers of increasing radii (20 m, 40 m, 60 m, 80 m and 100 m).
One can see that BER shows the trend of increasing as Md increases and finally reaching error floor.
X increased with the increase of M. Increasing M from 1.23 × 10−3 to 4.93 × 10−1 m4/s2 increased X by a maximum of 55%%.
Cells were loaded with the probe in the presence of increasing amounts of KH176(m), and subsequently lipid peroxidation was induced with cumene hydroperoxide.
We now explore the effect of increasing M. Figure 1 shows forest plots of the original meta-analysis along with illustrative meta-analyses generated for M = 4, 16 and 64.
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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