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We have described the design of this framework and the implementation on our testbed and in the Castalia simulator.
Our container monitoring use case has inspired the design of this framework, but we want to emphasize that it should be clear that it can be used in a much broader context where mobile and lightweight devices are involved.
The main difficulties in the design of this framework stemmed from fundamental differences between the data model of ORCID and that of most PTCRIS services.
The design of this framework is inspired by the emerging interest in systems thinking for health systems strengthening (de Savigny and Adam 2009) and complex adaptive systems (CAS) (Paina and Peters 2011; Sheikh et al. 2011; van Olmen et al. 2012).
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The design of this new framework aims primarily at computational efficiency for fast reconstruction at the beamline during experiments taking advantage of a dedicated cluster.
The design of the framework in this clinical report involved the incorporation of metal occlusal surfaces for the posterior first molars to the framework.
This paper describes the design of that framework (it is implemented both in the Castalia simulator and on the iLab.t WiLab testbed).
The design of the framework is shown in Figure 2. Figure 2 Design of adaptive framework.
SD participated in the design of the framework and helped in drafting the manuscript.
Eight systems are used in the design of the framework.
PP conceived of the study and participated in the design of the framework.
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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