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We use this framework for a small example where components make mutual assumptions about each other's output.
Practitioners may use this framework for modeling systems which require that spatial structures are dynamic and coupled to feedback processes.
Thus one can use this framework for modelling indices that are based on health outcome measurements with different scales including continuous scale and categorical outcomes.
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Consider using this framework for thinking about how you best create financial habits.
We built several prototypes focusing mainly on viral and tumor antigens using this framework for immunological knowledge discovery.
Our initial examples focus on the use of this framework for the purposes of epidemiological data collection, but EpiCollect has been designed to be generic, and the same principles are applicable for a wide range of projects, some of which are discussed.
Such results support the potential use of this framework for algae metabolic engineering.
The GUID is used in this framework for identifying the other information like length, width, and material to a particular building element.
Many such measures could be used within this framework; for the sake of concreteness when considering the model, it can be thought of as betweenness.
For example, one can use this framework to incorporate constraints for differential land subsidence due to dewatering by using differencing constraints and adding constraints on the maximum slope of the water table or land surface.
The overall goal is to use this framework as a basis for developing systematic compositional modeling and analysis schemes for hybrid modeling of physical systems.
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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