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First, we distributed 29,740 advertisements summarizing the study to various kindergartens, elementary schools, junior high schools, and high schools in Miyagi Prefecture, Japan.
At first, we distributed BBD cases with non-proliferative disease, BBD cases with proliferative disease, BBD cases with atypical hyperplasia and healthy women by demographic and gynaecological characteristics (specified in the relevant Table), as well as levels of the studied endocrine compounds (median, 10th and 90th percentile for each hormone and each breast disease category).
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Third, we distributed linearly the difference according to the number of households from time t contained between the higher and lower bounds selected above (in terms of (hat{f})) from households at time 0. Fourth, we computed the real income from household in time t that it should have as per its share of food, adding to the income of lower (in terms of (hat{f})) the difference computed before.
In the second scenario, we distributed fishing effort only in the estimated fished cells (FMD).
Our approach has been similar, although there were three differences: first, we manually distributed larvae of the right genotype into the 96-well plates.
First, we randomly distributed all distinct reads mapped to each transcript along the same transcript using BEDTools (Quinlan and Hall, 2010 ), to calculate the maximum random cluster height for each transcript.
In the first null model we distributed individuals of palms randomly over the entire plot.
Second, we used distributed snow depth (HS) data collected automatically by wireless sensor networks.
Second, we propose distributed algorithms, based on swarm intelligence principles, through which each SN can autonomously select its role, and self-elect to gateway or router, so that end-to-end performance are maximized while the lifetime of the spontaneous emergency network is prolonged.
Then, two distributed approaches are proposed for adequate RAT selection: first, we put forward distributed heuristic algorithms based on the peak rate perceived by users from available RATs.
We distributed copies of our first surveys for free.
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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