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Our framework relies on a novel service-oriented hierarchical business model as well as an expressive information model enabling the representation of physical/virtual resources and services.
In enabling the representation of experiences, this mode fosters an informal, confidential tone of friend to friend rather than of poet to public.12 It tends to produce narrative, descriptive verse, describing the vigorous performance of physical labor and depicting labor and laborer with respect and dignity.
At the heart of the framework lies an expressive information model [12] enabling the representation of physical/virtual resources and services, as well as the mapping between them, in addition to modeling the relations between multiple business roles and their association to resources and services offered.
However, it has been argued recently that such sensitivity to spatial information might be a useful property of object representations, enabling the representation of complex multi-part objects as well as the recognition of objects in cluttered scenes [17], [18].
For the investigation of the physiology and pathology of the immune responses, computer and mathematical models have been used in the last decades, enabling the representation of biological processes.
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In this aspect, Hybrid MPC enables the representation of systems, incorporating logical variables, rules, and continuous dynamics.
The translation theory is developed by introducing "conversion" operators, which enable the representation of the electric and magnetic vector fields via scalar potentials in an arbitrary reference frame.
These functions enable the representation of statistical distributions and the construction of functional forms for the structure property relationships of grain boundaries.
Then, we describe an implementation of this ontology using the RDF Schema Semantic Web-based ontology language, and demonstrate how our ontology enables the representation of networks of arguments on the Semantic Web.
Compared to remeshing, the proposed method enables the representation of discontinuities through relatively closed FE codes (such as user-defined elements) without modifying the initial mesh and geometry, thus making it computationally more efficient.
The use of PCE enables the representation of the outcome of a given model as a polynomial, created by a function basis that depends on the probability distribution of the input variables and beyond that, the estimation of statistical properties such as the mean, standard deviation, percentiles and more rigorously, the entire probability distribution.
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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