LARMA relies on traditional economic concepts for LRP formation but addresses some drawbacks of this approach by being integrated into an agent-based model that considers heterogeneous agents interacting with one another.
Troutbeck's critical headway research [56, 57, 58, 59, 60] led to the development of a lane-based model that considers the conflicting lane gaps as the combination of gaps between the vehicles of the circulating streams; thus, for the right entry lane, all conflicting vehicles have an influence on the entering drivers' behavior, which will be true in some cases and generally conservative.
Our computational experiments with statistical analysis on potential G4 sequences in human genomes make it clear that the HMM-based model that considers detailed distribution of G-run length can discriminate well between G4 sequences that match the model and those that do not.
For instance, O'Brien-Pallas has built a dynamic system-based framework (effective demand-based model) that considers: (1) the population characteristics related to health levels and risks (needs-based factors); (2) the service utilization and provider deployment patterns (utilization-based); and (3) the economic, social, contextual, and political factors that can influence health spending [ 42].
In the present work a model is developed to predict the shear capacity of these elements based on a panel model that considers average strain and stresses in a reinforced concrete orthotropic material, which covers the section of the structural element subjected to stress concentration.
Both our previous approach and that of Bourque and Sankoff are based on an evolutionary model that considers only edge gains and losses, so that the networks must all have the same number of genes (orthologous across all species).
Because several indels differentiate repeats within and between species, I constructed a neighbor joining tree based on distance using a model that considers adjacent indels as a 5th nucleotide state.
This work addresses the design of reactive distillation columns to produce ETBE, based on a detailed first-principles model that considers equilibrium and kinetic information, rigorous physical property data, and catalyst deactivation.
In this paper I present a study regarding the institutional conditions of Mexican cities based on a post-petroleum urban model that considers transport, architecture, urban planning and land use, renewable energy sources, energy saving and efficiency, and urban metabolism issues.
Our analysis is based on a unit commitment and dispatch model that considers the scheduling of PEV-charging loads [16].
The method is based on a paraconsistent artificial neural network model that considers as input preprocessed information from measurement data on landmark distances, possibly generated by different sensors in different robots and considering different metrics.
