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Using the model, we compute the optimal frequencies for regular and irregular patching, for both networks and clients, for two example types of organization, military and financial.
Using a 4D Markovian model, we compute the steady state of the system and derive the average throughput and the expected delay as well.
Using this model, we compute the expected waiting time until the emergence of the strain that has gained escape and compensatory mutations against the new host's immune response, and reverted these mutations at epitopes no longer targeted.
As an application of the model, we compute the free energy landscapes, which give the full distribution for all the possible conformations, for U4/U6 and U2/U6 in major spliceosome and U4atac/U6atac and U12/U6atac in minor spliceosome.
For each model, we compute the forecast error.
Next, using the model we compute the optimal number of cells to be scanned and the growth factor for different.
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From each model, we computed the predicted probability of ARDS for each individual and computed receiver operating characteristics (ROC) curves and their area under the curve (AUC).
For each model, we computed the R-squared statistics.
To describe the catalytic activity within the model, we computed the O and OH adsorbate binding energies, the effective reversible potential and the critical potential for the oxygen reduction reaction.
The model we computed has a mean date equal to 2009.485.485
For each model, we computed the R-square (coefficient of determination Rs2) to assess the accuracy of the model and how well it fits the measured data.
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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