Multiple performance frameworks have been designed to assess health systems [ 14, 15], health service delivery organizations, [ 13, 16] and health quality [ 17, 18].
For example, in a recent paper a "multiple governance framework" have been suggested to provide for concepts influenced by IRC/IAD "which may assist low-or middle range theory formation and systematic empirical research" [ 33], p.558.
Bayesian frameworks have also been developed to map QTLs in multiple related crosses [ 22, 23] and used successfully in apple [ 24] and cherry [ 25].
The components of its analytical framework have multiple, independent origins, some of which circumnavigate American Pragmatism.
The diagnostic capabilities offered by this framework have multiple potential domains of application such as guiding users in their choice of imagery and providing guidelines for space agencies to elaborate the design specifications of future instruments.
Across the multiple frameworks, core implementation concepts have emerged and detailed models of variables within these concepts explored; however, there seems no simple high level illustration of these overarching concepts.
A multiple criteria interactive modelling framework has been developed to support forest resource allocation decisions in the context of multiple use forest management at the tactical level.
The multiple layer decision support framework has proven to be valuable to industry, state government and local decision makers.
Third, in the case, where the framework has multiple deformation modes, geometry alone does not suffice to determine the mechanical deformation.
And while multiple frameworks for developing machine learning tools have emerged, including PyTorch and Caffe2, this one is optimized for Google's TensorFlow.
