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Overall, the validated experimental results give confidence in the use of modelling for future larger LSCs for BIPV.
Interest in the use of modelling studies to predict the effects of public health policies is growing, but little is known about policymakers' views on their utility.
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A solution may be found in the use of modeling techniques that can be linked to visual depictions of the population dynamics.
In addition the use of modeling for the design of composites is also addressed.
In comparison, the pharmaceutical sector has been lagging behind in the use of model-based methodologies.
It examines the pitfalls and problems related to training the non-traditional user in the use of modeling tools.
Further model advancement, and development of greater confidence in the use of models, is hampered by the lack of thorough evaluation and intercomparisons.
More focus is given to knowledge-based systems, which have apparent advantages over the others in allowing more transparent transfers of knowledge in the use of models and in furnishing the intelligent manipulation of calibration parameters.
One limitation in the use of model organisms is that they are very sparsely distributed across the tree of life.
A common application is in the use of models that assist local clinical commissioning groups in identifying high-risk patients.
In previous years, there have been substantial advances in the use of models of neuronal microcircuits as forward or generative models of observed electrophysiological responses.
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