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The paper gives an overview of the analytical background of the model and shows how the model parameters can be identified from experiments using a reverse engineering approach.
For the first time, the physical background of the model allows the operator to draw conclusions about the performance-limiting factor at various operating conditions.
First, the theoretical background of the model is revisited in order to obtain a predictive method for the 'a priori' calculation of the values of parameters which reflect the size, shape and interaction energy of the molecule (three parameters for each pure component).
The successful validation confirms not only the scientific background of the model, but also supports its applicability for engineering purposes in the design and optimization of large scale photocatalytic reactor to overcome some of limitations hindering the industrial development of this technology.
We can see that the lateral continuity and low-frequency background of the model parameter can be preserved successfully.
Having presented the theoretical background of the model, we are now in a position to conduct an empirical analysis of the proposition of balanced versus unbalanced growth strategies.
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The mathematical background of the models is described in detail, highlighting the model assumptions.
Teaching students to develop data-driven models is a challenging task as a good balance has to be found between the theoretical background of the models, the ecological relevance of the knowledge rules inferred and their socio-economic applicability.
The empirical background for the model consists of the static iron status and of tracer dynamic data.
More details on the background of this model are available in Additional file 1.
This is the unit ARF response model which is appropriate for convolving the instrumental background components of the model expression.
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context of the model
backdrop of the model
background of the models
background of the specimens
origins of the model
background of the program
background of the discussion
background of the motivation
background of the student
background of the research
background of the Use
background of the ex-offender
background of the pulse
background of the project
background of the app
background of the paper
background of the problem
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com