Sentence examples for model to predict the impact of from inspiring English sources
A range of carbon prices (US$25/ton to US$200/ton) was imposed on the model to predict the impact of border adjustments.
Babad et al. [15] employed a discrete age-specific mathematical model to predict the impact of measles vaccination in England and Wales.
It provides most of the necessary concepts for implementing compartmental models of the human endocrine system, such as the UVa/Padova model,1 accepted by the FDA.2 We named this extended ontology Bio OntoCape which is connected with MatLab to perform dynamic simulation with the constructed model to predict the impact of the external stimuli such as meals intake and insulin dosage.
We will use this model to predict the impact of a mutation that leads to deposition of small amounts of fat on survival time.
As a natural extension in the application of these models, in this study, we incorporated in vitro information of three major OATP1B1 genetic variants into a previously reported PBPK model to predict the impact of OATP1B1 polymorphisms on human PK.
SNPscanner employs a parametric model to predict the impact of polymorphisms on probe behavior, while ssG uses no such model, relying instead on empirical distributions derived from the clusters it identifies.
Researchers led by Dr Christian Hof, from the University of Copenhagen, used computer modelling to predict the impact of climate change, the effect of habitat loss from urbanisation and farming and, finally, the fungal disease on amphibian populations.
In an interview, he said that the research would help scientists build better computer models to predict the impact of ice bodies on rising sea levels.
We used ARIMA regression modeling to predict the impact of changing gasoline prices on sales and, consequently, deaths from new motorcycle purchases (Table 1).
Including these issues will improve the capability of the models to predict the impact of several environmental and genomic alterations on the course of batch fermentations.
The objective in model development is to predict the impact of management on runoff, sediment and agricultural chemical yields in large and small watershed (Shrivastava et al. 2004).
