Some analyses on the behaviour of the energy pile have been carried out for approximately one year (400 days), and the influence of daily cycles on modelling processes is underlined comparing the results of three different ways of simulating the same energy demand (considering daily temperature variations, neglecting them, and using average values of temperature).
Forward and backward stepwise procedures of the multivariable modelling process were conducted.
Any of the PIP criteria and alternatives that were debated during the modelling process were discussed again by the research team and a decision on whether to retain or remove the criteria was made.
Five of the six predictors identified in the modelling process were also present in sensitivity analysis using non-imputed data and dichotomised respiration rate and heart rate variables, again supporting the final model.
Factors included in the modelling process were study, gender, age at diagnosis, age at collection, days since first IFX infusion, age at first IFX, methotrexate use, azathioprine use, IFX concentration <3 μg/mL, ATI concentration ≥3.13 U/mL and an IFX ATI interaction term.
Although recent crop modelling frameworks can technically support model building, the modelling process is not always well documented and difficult to repeat.
Second, a semantic model for describing the modelling process is proposed, and its instantiation is studied.
Structure that was obtained by the modelling process is indicated as 'Model (D1-EM-D2)' and crystal structures as 'Crystal', with its respective PDB ID, which is linked to the PDB structure into the RCSB Protein Data Bank.
Multiresponse modelling (taking more than one reactant and product into consideration in the modelling process) is a powerful tool to model complicated consecutive and parallel reactions, like the Maillard reaction.
However, with time-series data, the modelling process is complicated by the need to model not only the interdependence between the series, but also the serial dependence within the component series [ 17].
