The implementation of DMAIC methodology resulted in understanding the problems from all aspects, qualitatively as well as quantitatively, and laying out the improvements through effective analysis of the roots of the problem.
This methodology may help in understanding the mechanisms which that are responsible for preferential solute transfer.
The application of this methodology will aid in understanding the functional relevance of splice variants in pathological conditions and facilitate the identification of new biomarkers and targets for therapy.
Mixed methods can reap the advantages of breadth and generalizability obtained from quantitative methodologies, and also the depth in understanding phenomena from qualitative methodologies.
This research develops a methodology that helps actors in understanding information generated from multiple construction participants.
In fact, the study of collective resilience through qualitative methodology bears vital implications in understanding the diversity of the resilience construct among populations experiencing adversity, and the development of resilience-promoting interventions [ 48, 49].
As a consequence, the database can evolve with the diversification of data gathering methodologies and with the advancement in understanding the underlying processes.
The developed methodology can assist decision makers in understanding the real impacts of carbon emission within and beyond pavement life cycle.
Connectivity map data and associated methodologies have become a valuable tool in understanding drug mechanism of action (MOA) and discovering new indications for drugs.
The models and methodology we propose not only help in understanding the changing in customers' temporal shopping behaviors and their cyclic succession, but also unveil the regularities of these changing if detected.
