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Within the IDEAS framework, network synthesis is formulated as an infinite dimensional linear optimization problem.
In this work, we present an optimal separation network synthesis methodology within the novel Infinite DimEnsionAl State-space (IDEAS) framework.
The attainable region (AR) for non-ideal reactor networks is constructed for the first time using the Infinite DimEnsionAl State-space (IDEAS) framework.
The axial dispersion model is used to represent a non-ideal reactor, and it is shown that the IDEAS framework and associated Shrink-wrap algorithm are applicable to this model.
The IDEAS framework is employed to formulate an infinite linear program (ILP) that can synthesize optimal reactive separation networks, and establish rigorous tradeoffs between total network reactive holdup, and total network capacity.
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Each of these fields in some way contributes ideas, frameworks, and theory to the work we do at the d.school.school
In our discussions with managers, many have found the ideas, frameworks and perspectives presented in this article to be helpful in addressing the transformation to global product development and its implementation today.
We don't obey them, but sift through and adopt their ideas, frameworks, and strategies as we see fit, while contributing ourselves.
The IDEA framework, a published framework for IPE curriculum development, was utilized to design learning activities.
Developing the curriculum using the IDEA framework likely contributed to this effect by intentionally providing ample time for interaction and designing learning activities aimed at helping students recognize one another's roles and contributions to health care.
To assess the effect of using the IDEA framework to target the Interprofessional Education Collaborative (IPEC) competency related to roles and responsibilities, the Readiness for Interprofessional Learning Scale (RIPLS) was administered to students before and after the course.
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