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For the sake of clarity we compare the two models in a clean synthetic experiment of a hypothetical pandemic event for which we assume the same parameterization with regards to the modeling aspects that the models share, such as disease progression and initial conditions.
The ecosystem and entrepreneurial models share such properties as their basic economic and technological requirements, but their social and governance-related drivers, for example, can differ significantly.
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We believe that the model's formulation will enable it to enjoy greater compatibility with natural science-based models, which share such a formulation and flexibility in projecting future emissions corresponding to alternative future economic scenarios and in evaluating emissions policies relevant to such scenarios.
All the three models share risk factors (such as smoking duration and occupational exposure to asbestos); however, differences arise, with the inclusion of lung-related comorbidities or family history information.
However, both models share fundamental challenges in areas such as the selection of appropriate genomic DNA sequence datasets to use.
To put these initial results into context, it can easily be noticed that such methods can add significant benefit to the design stage, for example, when sharing such models over the Internet.
These models share common features of human disease such as anti-double-stranded DNA (anti-dsDNA) antibodies and proliferative nephritis, but differ in their renal cytokine/chemokine profile, cellular infiltration and acuity/chronicity of disease [ 5].
First, models can be shared such that other users can simulate the shared models and view the model's bio-logic.
Many Chinese intellectuals share such beliefs.
While this paper contributes to IFC data exchange by (1) providing improvement to the elimination of duplicated instances and by (2) investigating modeling techniques for sharing such duplicates, further topics like Model View Definitions (MVD) and Level of Geometry (LoG) are relevant as well.
One of the most popular formats for sharing such models is STL format common and it has been accepted by many proprietary software.
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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