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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.
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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.
To this end, we developed an internal data model to store cancer genome information and implemented different importer routines to map external database information onto our model.
Applying Swanson's ABC model to stored interaction data, we produced new possible interaction candidates.
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.
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.
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.
However, in the context of 3D modeling, actual geometric data models used to store those objects are not designed to manage explicit topological relationships.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com