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As attributes to be used in the ranking procedure, we defined module weights.
If both QTL effects remained significant after this procedure, we defined them as independent QTL.
For the first entry point in the second procedure, we defined the Y coordinate as (−1, +2).
To account for geographical incompleteness of sampling and small inaccuracies in the mapping procedure, we defined < 0.05 overlap as complete allopatry and > 0.95 overlap as complete sympatry.
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By the same procedure, we define analog generators.
Before the design procedure, we define a positive constant as follows: tau_{k}=big| h_{k}^big| ^{2},quad k=0,1,2, ldots,n.
To follow the experimental procedure we define the variables in the mathematical model describing the system in a single cell.
This enhances the reliability of the detected annotations, which is further increased by the several procedures that we defined to avoid propagation, through automatic data processing, of errors existing in public biomolecular data, including in those that our method uses.
In this procedure we also defined the optimal routes of travel, the loads and volumes to be transported and the sequence of the route to comply with the time windows imposed in each cluster.
For this, we re-organize the square of the coefficients as a function of the azimuthal ratio a z=m/n, which varies from 0 for purely zonal terms to 1 for sectoral terms (see Sabaka et al. 2004 for a description of the procedure) and we define az positive for the (_{i,j}!,{g_{n}^{m}}) and negative for the (_{i,j}!,{h_{n}^{m}}) model coefficients.
All the simulations in this paper followed the same procedure: first we define a model that captures the problem of interest in terms of a Markov decision process.
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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