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Taking a longer view, the hand-in-hand development and testing of computational approaches, as outlined above (see 'Synergy between experimental and computational enzymology'), will ultimately provide foundational models for the efficient design of highly effective and specific new enzymes.
Importantly, expansion and refinement of foundational models similar to the one developed in this system has yielded fruitful understanding of the EGF system [ 79]–[ 82]; similarly, we anticipate that expanding upon the model developed in this study will lead to further insights into the role of the IGF system in ovarian cancer.
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The Foundational Model of Anatomy (FMA) ontology is a domain reference ontology based on a disciplined modeling approach.
In this paper we propose a foundational modeling and ontology construction approach for a generic product that incorporates hardware and software components.
Plato focused on beauty as an abstract form whose essence is bestowed on the particular items that instantiate it, and in keeping with this foundational model, philosophers have usually treated beauty in the most general of terms.
These findings have implications for educators involved in designing online learning applications and will be used to develop a prototype of individualized online learning environment based on the pedagogy and andragogy as its foundational model.
The objective is to represent the Foundational Model of Anatomy (FMA) in the OWL 2 Web Ontology Language (informally OWL 2), and to use it in a European cross-lingual portal of health terminologies for indexing and searching Web resources.
This betwixtness of socio-technical design is demonstrated by the analysis of two IT systems for health care: a foundational model for electronic health care records, and an IT system organizing hospital porters' work.
An example of reference ontology in biomedical informatics is the Foundational Model of Anatomy (FMA), an ontology of anatomy that covers the entire range of macroscopic, microscopic, and subcellular anatomy.
They pointed out that the geometric Brownian motion (GBM) should be a foundational model and the mean reverting model could describe the stochastic characteristics of oil price more accurately since oil price fluctuated around the cost of oil production which was stable.
Existing neuroanatomical ontologies, databases and information systems, such as the Foundational Model of Anatomy (FMA), represent outgoing connections from brain structures, but cannot represent the "internal wiring" of structures and as such, cannot distinguish between different independent connections from the same structure.
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