In each model, we used the maximum sample size available to us.
So what happened to the Turkish model we used to be so hopeful about?
Specifically, as in vitro model we used SH-SY5Y human neuroblastoma cells differentiated with retinoic acid to a neuron-like state; as ex vivo model we used striatal slices from adult rats.
In our model, we used minimal assumptions with regards to the impact of polarizing currents, by simply adding transmembrane currents.
For the count model, we used the number of grid cells where ≥1 vessel was predicted to be fishing each month.
For the national model, we used two data-sets from the AWCBC: 1.
Next, to further simplify the crustal model, we used only two values for the viscosity coefficient.
We first describe the heterogeneous SIR model we used in the simulation.
For the full model, we used the three sub-models discussed in the above sub-sections.
As background model, we used two Gaussian mixture models with shadow detection.
To derive the content-related structure model, we used exploratory factor analysis.
