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In this paper, we have presented an adaptive multi-frame super-resolution model that sufficiently restores fine image details.
The importance of finding the simplest model that sufficiently describes the experimental data is discussed.
A computational model that sufficiently represents reality is often very costly in terms of run time.
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Recently, the development of animal models for use in metastasis research has greatly increased; however, there is still a lack of models that sufficiently represent human cancer.
Bearing this criterion in mind, it was necessary to find a good compromise between the two conflicting additional goals of developing a model that was sufficiently realistic so as to allow the emergence of the relevant complex processes observed in the human brain, and sufficiently simple so as to be computationally tractable.
The design and optimization of the distillation requires a reliable thermodynamic model that describes sufficiently the properties of the ethanol/water mixture, and, especially, the vapor liquid equilibrium (VLE) near the azeotropic point.
We have been and are further trying to develop a model that is sufficiently expressive yet easy to use.
There may also be an adverse risk selection in this model that is not sufficiently studied; the cost reducing orientation could promote incentives against complexity and cost against quality, as quality is not contractible and is hard to observe [6].
A criticism of the ecological perspective claims that it is a static and rigid descriptive model that is not sufficiently responsive to change over time [ 48].
We propose a systematic approach to manage this risk using mathematical models that are sufficiently detailed to quantify risk.
However we are a long way from models that are sufficiently parameterised to make this link despite recent progress at the thylakoid level (Zaks et al. 2012).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com