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In general, the dividing of the data is to control the length of each segment to avoid having too much information in a single segment.
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The 90% figure comes from a rather arbitrary divide of the data by Reinhart and Rogoff into bands of below 30%, 30%-60 30%-6090% and above 90%; that doesn't prove moving from, say, 89% to 91% will trigger a crisis.
The segmentation process is in fact a permutation of the original data, followed by dividing of the permutated data.
We could divide most of the data sets according to the four most common tumour types, breast, colo-rectal, lung and prostate cancers, which relate to the different natural survival patterns and different management requirements described in the national Manual of Cancer Services.
However, the baseline values certainly changed between 2005 and 2006 for Dst and Kp, after which the absolute values are constantly lower than those before 2005 beyond the fluctuation level as long as ε ′<102 W/km 2. Thus, the results obtained in Figures 1 and 2 do not depend on the way of dividing the data (here, the data is simply divided by every 10 years).
The expectation is that analyses within subgroups will enhance gene finding, especially when any interacting determinants are taken into account at the time of dividing the data into subgroups.
This algorithm identifies the best way of dividing the data in two parts and assigning each to a specific tree position.
By considering the underlying modularized structure, the proposed method is capable of dividing the data into two or more modules with reduced data dimension by gene clustering and TF identification.
where W s is the window size which is calculated by dividing the product of the data rate of the transmission channel and the reaction time by the packet size.
To address over-fitting, I propose that the authors do something like randomly dividing both the data set of positive examples as well as the set of negative examples in half.
26 Subsidiary analyses investigated the shape of associations by dividing the data into fifths of baseline values of estimated glomerular filtration rate, with further subdivision of the lowest fifth into three more groups, and using regression spline methods.
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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