The key component of the methodology is to characterize bacteria transport not by a constant sticking efficiency, but by a range of sticking efficiency values determined from laboratory column experiments.
The first component of the methodology comprised two numerical current and wave models, while the second component was based on the artificial intelligence technique of neural networks (ANNs) used to reproduce values of sediment concentrations observed at two sites.
A central component of the methodology for measuring overall attainment was the use of fixed weights, common to all countries, to aggregate the five indicators.
An important component of the methodology included the use of an introductory story or fictional vignette Additional file 1: Appendix 1, developed by the CI [AB] and the study's senior anthropologist [US] to contextualise and focus the discussion generated within interviews around the experience of mental illness and distress.
The five components of this methodology are recurring contributors to disruption at the subsystem level of the value chain: standards, architectures, integration, linkages, and substitutions (SAILS).
In what follows, we expand on the various components of this methodology.
The key components of this methodology are: 1) collection of statistical data and mapping information; 2) a fact-finding mission and key informant interviews; 3) a population-based study consisting of two components: a household survey followed by detailed screening of selected victims of OPV and human rights violations at mobile clinics.
Also, the number of temporal components of the 2D methodology is very low, which means that the stochastic activity is easier to parameterize using the 2D approaches.
