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Two sources might use a totally different data model to store similar data so that merging them is non-trivial.
To develop a model to store information in an electronic medical record (EMR) for the management of transplant patients.
An advantage of MORT is that it employs the relational model rather than the traditional hierarchical model to store all the information of a molecule.
By employing the relational model instead of the hierarchical model to store data, less time is taken while iterating on the atoms and it solves the annoying problems such as determining the belongings of inter-residue bonds.
Yu and Singh [30, 31, 32] proposed a model to store values of the quality of direct interactions among agents and only consider the most recent experiences with each partner for computation.
This results in a larger model to store, more complex to be read and examined by a human, and with longer execution times when applied to predict new records.
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Applying Swanson's ABC model to stored interaction data, we produced new possible interaction candidates.
In this approach, the capability of building information models to store multi-disciplinary information is utilized to access parameters necessary for performance calculations.
A few previous studies proposed specific information models to store these various types of data.
We have also tried several N, finding in 100 for each partition a value that allowed the CAP-tree of each model to be stored in memory.
In order to accomplish this task, we have defined a proper database model able to store all the projects data.
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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