Sentence examples for modelling area from inspiring English sources

Only the unknown or uncertain model parameters listed on page S22 of the Additional file 1 were used to calibrate the mosquito population dynamics model to the relative mosquito abundance across the entire modelling area as depicted in Figure  5 (Additional file 1: Figure S22).

Three-dimensional geometric models of irregular food were constructed to contribute to process modelling area shedding light on geometry development aspects.

Without this information, the models had to make the assumption that no water leaves the modelling area sideways.

To meet the future demands, new key challenges in specific modelling areas are suggested, and opportunities for advancements in combustion-LES techniques are highlighted.

We propose that modelling potential areas in this fashion is a straightforward way to describe the genetic control of the plant phenotype.

Given the long-standing conflicts in the area, modelling work largely focuses on carrying out a vulnerability assessment rather than on trying to find solutions.

The symposium was organized on five themes and 14 topics, following the main trends in CAPE area: modelling, process industry, optimization, dynamics and control, process integration, synthesis and numerical methods.

For each of these we prove representation theorems and establish relations with several other modellings in the area, including Poole systems and preferential models.

Furthermore both consumption and price elasticity data are derived from the same dataset (LCF), resulting in a more accurate modelling of the changes in purchasing and consumption than previous modelling studies in this area.

Even though the concept of PBN for the modelling of biological systems is still young compared to other modelling approaches, a broad area of research activities on this modelling approach such as network inference and network control have been well-established and are continuously developed.

47 It has been suggested that climate and meteorological predictors have greater predictive power when modelling malaria incidence in areas with unstable transmission compared to areas with stable endemicity.