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The methods we propose here are based on a recently introduced generative model for graphs [ 10].
The method and techniques of data collection and analysis that we propose here are directly informed by the research objectives stated earlier.
For reviews aiming to assess model validity in other types of RCT (e.g. prophylaxis rather than treatment) or in addressing a different research question (e.g. "Do molecular and ultra-molecular homeopathic potencies differ in their clinical effects?"), the domains/criteria we propose here are likely to require suitable adaptation.
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What we propose here is a static point of view of the system.
The patterning process we propose here is fast and low cost.
The model we propose here is composed of two thin layers on the aluminum substrate, as depicted in Figure 4a.
Nevertheless, the approach we propose here is completely extensible.
The nomenclatural system for vertebral fossae we propose here is based on our combined collections research at the institutions listed below.
The decomposition of the standard G-matrix that we propose here is primarily an analytical tool.
Therefore, the nomenclature we propose here is in line with the latest advances in the field.
The Close Linkage versus Pleiotropism (CLIP) test that we propose here is based on this consideration.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com