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Regarding the challenges utilisation and interdisciplinary modelling, we argue that oemof captures these partially.
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Using numerical modeling we argue that a recent increase in exhumation rate is required to expose these young ages.
From all the probit models, we argue that those who trust the government have the probability of willingness to pay less for electricity.
By using a path analysis of the hydraulic model, we argue that social systems, similar to water moving in closed tubes, aspire to equilibrate.
Although the simulator does not consider a real wireless model, we argue that it is enough to show the correctness of our mathematical model, as it fully implements the behavior we are modeling.
We present a conceptual framework to separate and relate the concepts of strategy and business model: a business model, we argue, is a reflection of the firm's realized strategy.
In contrast to the earlier rigid-rotor model, we argue that the driving substance, e.g. protons, must stay in the rotor-stator interface where its free energy is converted into the kinetic energy of the rotor.
While certainty is not achievable from any model (including experimental models), we argue that in order to provide a better appreciation of the probability of a particular toxicity, it is vital to generate a sound statistical analysis of exactly how many chemicals with a certain toxic fragment (for example) are really toxic, and how many are not toxic.
In the context of such a drive to complex models, we argue that the importance of best-practice development that includes careful verification and validation is vital to ensure progress is constrained by the appropriate underlying physics and mathematics with a constant attention to identifying conditions under which simpler models suffice for the intended modeling purposes.
By using the error model we argue that no matter how large the "mark" and "destroy" rates are we can always give satisfiable instances of 3-SAT such that no DNA strands remain on the surface at the end of the computation.
Based on data from prior influenza pandemics and a simple network-based mathematical model, we argue that, for a newly introduced strain of influenza, this process will cause a shift in the demographic burden of influenza from children to adults.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com