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The form of the model was: where y ijk is the AQUA score of the ith subject, in the jth ROI, at the kth FOV.
The form of the two-stage model was where û i is an estimated site-specific intercept that represents the adjusted long-term mean at each location.
Therefore, the reduced model was where a F is a vector of genetic effects due to the family of the focal individual and Z D is the incidence matrix for direct genetic effects as in the full model (Equation 9).
In brief, the multiple-line cross QTL mapping model was: where Y was a N × 1 column vector of the BLUE values of phenotypic data of N progenies coming from P families.
The final model was: Where i is the township (township = 1, ……, 287); t is the day; Yi,t is the number of IHD deaths in township i on day t.
The basic APC model was where λ is the incidence rate as a function of age and calendar period, g is a 'link' function and fA, fP and fC are functions of age, period (year of incidence) and cohort (year of birth, i.e., cohort=period-age), respectively.
Similar(52)
The Even Newer Model is where it's at!
"But thinking long term, the licensing model is where it's at".
The digital model is where we figure out how this idea takes form in a building or public space.
That model is where "deep learning" would live.
One model is where the forwarders buy the solution in a Software as a Service (SaaS) model, which has historically been the Freightos model.
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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