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Numerical examples for engineering applications at cold region are analyzed via the proposed model to predict the impacts of changing climate on infrastructure at cold regions.
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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.
We will use this model to predict the impact of a mutation that leads to deposition of small amounts of fat on survival time.
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).
Most importantly, the model allows us to predict the impact of preventive neuroprotective strategies on incidence rates of Alzheimer's disease [61].
The model was designed to predict the impact of these events on adult N e in an An.
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