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This is because a bidirectional algorithm works using two main methodologies: The first one, the random walk, picks random stats and travels through them to reach the given end node.
Three methodologies, the first- and second-order second-moment (FOSM and SOSM), and Monte Carlo simulation (MCS), for calculating the mean and variance of the estimated settlements through Schmertmann (1970)'s equation, are presented and discussed.
However, when summarizing methodologies, the first obstacle is the search itself that demanded different strategies and intense manual work.
Whereas the second author focused on the overall MDTP intervention in both countries using multi-level analysis and participatory observation, interview and documentary methodologies, the first author concentrated on the interaction on the local level in and around the north-eastern part of Lesotho combining participatory observation with interviews.
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The first one was based on latest statistical ARMA/GARCH methodologies, the second one on soft GRBFNN, the third on novel GRBFNN based on incorporation of an error-correction mechanism.
For the validation process, we used three different methodologies: (1) The first methodology was to map the recognized entities to ChEBI and then apply the semantic similarity measure described previously to filter the entities based on a fixed threshold (SSM).
Following the methodology, the first step is a (informal) description of the system purpose and functionality called "system specification phase".
As pointed out in the methodology, the first step of the analysis is to identify those imbalances that help to estimate the sustainable output growth.
Following the original methodology, the first final model included BSA, age, and race as covariates affecting CL and V2.
Second, within the capture recapture methodology, the first sample was captured via the IBBS survey and the second was captured at the so-called known hot spots.
Consistent with qualitative methodology, the first two questions were broad open-ended questions that gave participants opportunity to become comfortable in the interview process and at the same time allowed them to reflect on all the years of their study.
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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