Sentence examples for mechanistic adjustment from inspiring English sources
The buffer provides opportunities for future expansion by dispersal; however, we note that this is not a mechanistic adjustment and does not account for species-specific dispersal capabilities [27].
This combination led to mechanistic GPCR models that comprise both inactive and active-like receptor states.
Such simulation-based WWTP performance evaluations are in practice limited by the long simulation time of the mechanistic WWTP models.
A key task in this area is the automated inference or reverse-engineering of dynamic mechanistic GRN models from gene expression time-course data.
By moderate simplification (avoiding big losses in prediction accuracy) of the mechanistic WWTP model only a limited reduction of the simulation time can be achieved.
The modelling approach exploits the author's Data-Based Mechanistic (DBM) modelling philosophy, combined with powerful methods of recursive statistical estimation.
A key challenge in this area is the automated inference (reverse-engineering) of dynamic, mechanistic GRN models from time-course gene expression data.
We coupled mechanistic ES models and RS data to estimate time series of three regulating (i.e. carbon dioxide regulation (CO2R), soil erosion prevention (SEP), and air quality regulation (AQR)) and one cultural ES (recreational hiking (RH)).
This study introduces a novel geospatial agricultural modeling system (GAMS) exploring the integration of the mechanistic Environmental Policy Integrated Climate model, spatially-resolved data, surveyed management data, and supercomputing functions for cropland C budgets estimates.
ANN prediction of effluent ammonium, BOD5 and total suspended solids was good when compared to mechanistic WWTP model predictions, whereas prediction of effluent COD and total nitrogen concentrations was a bit less satisfactory.
The approach proposed in this paper combines an influent disturbance generator with a mechanistic WWTP model for generating a limited sequence of training data (4 months of dynamic data).
