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So, our first hypothesis (1) is that a large patient list is related to shorter consultations, and (hypothesis 1a) that this relationship will be stronger when the capitation share (proportion of publicly insured) is larger.
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The model is predicting vote share proportions for each candidate, so we need information on how elections have turned out in the past.
The model is predicting vote share proportions for each candidate, so we need information on how vote proportions have been distributed in the past that is based on some criteria that we can apply to this year's races.
The model required epidemiological, resource use, unit cost, and market share proportions data.
It is shown that both the manufacturer and the retailer can benefit from the coordination by choosing the sharing proportion in an appropriate interval.
The story it told has only developed – as evidenced by the arrival in government of the Lib Dems, the rise of the Scottish National Party (which actually goes back to the 1970s), and the two supposedly main parties facing an obvious trend: give or take the odd blip, a steady decline in their shared proportion of the vote.
In the second scenario where the sharing proportion is shared on the basis of the need of each user, we notice that users prefer to use the self-proportion than sharing proportion.
In the first scenario where the sharing proportion is divided equally between users, users prefer to share than to use the self-proportion.
However, in the second scenario where the sharing proportion is divided in terms of the needs of each user, users prefer to use the self-proportion than to share.
Concerning the distribution of the sharing function, we notice that in the first scenario where the sharing proportion is divided equally between users, users prefer to share than to use the self-proportion.
We calculated the heterozygosity for all samples and used the logarithm of the shared proportion of alleles as the genetic distance between the samples.
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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