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This new modeling framework represents how climate change and clean energy policy affect pollutant emissions throughout the economy, and how these emissions then affect human health and economic welfare.
This modeling framework represents a novelty in the field of computational synthetic biology.
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Hence, this modelling framework represents a combined parameter fitting and systematic analysis of model behaviour and model mechanisms for possible model reduction.
As all mathematical modeling approaches, our framework represents an abstraction of the biological system and as such should be considered as a toy model to investigate several characteristics of the system.
To perform such an analysis, classes from several biomedical ontologies can be employed, depending on the modelling framework and the kind of phenomena that the models in this framework represent.
This study presents a dengue modelling framework and highlights how key features of the physical system may be represented in a simulation model.
This paper presents the conceptual design and application of a new land-change modelling framework that represents geographical, sociological, economic, and ecological aspects of a land system.
Using a multi-model framework to represent normal and failed behaviors of the system,we develop algorithms for the design of optimal auxiliary signals and online detection tests.
We develop a Poisson Gamma model within a Bayesian framework, representing both the epistemic and aleatory uncertainties in non-conformance rates.
The proposed model represents a strategic framework to support the design of eco-efficient supply chains.
A simple decision-making model represents a theoretical framework for a tool comprising two sets of ecological indicators.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com