Model performance is evaluated against data sets from a full-scale wastewater treatment plant, assessing capability to describe water and sludge lines across the treatment process under steady-state operation.
Our agent-based model, as already mentioned, will be calibrated and validated against data sets from two different domains, covering inter-firm R&D alliances and co-authorship of scientific papers.
To investigate distant homology, query sequences were submitted to Meta-BASIC [ 52] against data sets of meta-profiles derived from PDB [ 51] and Pfam [ 19, 20].
To understand whether the model was successful at predicting germination in seed lots from real field situations, the model was fitted against data sets generated from five field-grown populations.
To identify clusters of homologous sequences among transcriptomes, predicted coding sequence (CDS) regions of each species were used as queries and targets separately for Blat (Kent 2002) to search against data sets for the other three species (reciprocal best hits).
Several models are benchmarked against the data set: the Fickian-based advection-dispersion, mobile-immobile, multirate, multiple region advection dispersion models, and a newly proposed transport model based on pure advection.
The queries are executed against different data set sizes.
The developed framework is tested against different data set sizes.
The spatial queries have been executed as well against different data set sizes.
The original 1992 Cardiovascular Life Expectancy model was similarly validated against the data set from the Lipid Research Clinic cohort [ 32].
