This method of weighting away from the edges can also be used with the Total Variation functional in our first model, and we will refer to this as our Weighted TV MPLE model.
The first model, which we will refer to as LMM1, includes the mediator (x) as a covariate in the model.
The model, which we will refer to as growth profilegrowth profile (we adopt the terminology used in [30]), assumes that, depending on the time of the publication, news stories follow a constant growth that can be described by the following function: N ̂ c ( t i, t r ) = N c ( t i ) P ( t i, t r ), (9).
This model includes the other hypothesised factors explaining the relationship between health, age and giving, in addition to religious attendance which we separately examined in Model V. We will refer to the first set of these factors as the 'health-mediators': egocentric network, relative health costs and charitable bequests.
This assumption implies that the parameters, variables and utility structure defined in the model will all refer to the couple, as formed by two similar individuals.
We will refer to Models as Model #1a: MVPA (after 17 weeks) = MVPA (baseline) + study group + covariates; and Model #1b: Mediator variable (after 17 weeks) = Mediator variable (baseline) + study group + covariates.
We will refer to this model as model A. The LRT is based on a comparison of the neutral model and model A. The neutral model assumes two categories of sites, a proportion p1 of sites where ω1 are estimated from the data and is forced to lie between 0 and 1, and a proportion p2 of neutrally evolving sites where ω1 = 1 (p1 + p2 = 1).
Bellow, we will refer to model 5 as the best fitting model.
Since Hodgkin & Huxley's Nobel Prize winning description of AP formation in nerve cells (Hodgkin and Huxley, 1952), and its subsequent application to cardiomyocytes (Noble, 1960 19622), cardiac electrophysiology insight has been aided by biophysically based computational models of AP formation, which we will refer to as 'AP models'.
For this reason, we will refer to the model as the DM model in this paper.
