Sentence examples for binary variables representing the from inspiring English sources

The general formulation of the water allocation problem (WAP) is given as a set of nonlinear equations with binary variables representing the presence of interconnections in the network.

where x i j are binary variables representing the channel assignments where x i j =1 if channel j is allocated for SU i (i.e., j ∈ S i ) and x i j =0, otherwise.

In the previous research of the CR FA application of graph coloring, the interference model assumed the conflict edges to be binary variables representing the interference or no-interference occurrence.

We therefore present the results of a model using the more parsimonious parameterisation for the interaction term only (i.e. a model containing a single interaction between a binary variable indicating the presence of at least one cardiovascular drug and 6 binary variables representing the presence of each of the cardiovascular conditions – a total of 6 interaction terms).

Two binary variables represented the taking and timing dimensions of the patients' non-adherence.

The aim is to characterize the habitat of the spur-thighed tortoise (Testudo graeca graeca), using several continuous environmental variables, and one discrete (binary) variable representing the presence or absence of the tortoise.

All DNA variant allele combinations were treated as categorical with three levels for each marker, with the exception of BDNF, which was treated as a binary variable representing the presence or absence of a MET DNA variant.

where wi and gi are the observed dependent variables for the food product groups, g i * and w i * are the correspondent latent variables, gi is a binary variable representing the decision of the household to consume or not, and xij and z ' ik are explanatory variables such as income, logarithmic prices, and household characteristics.

Also, if μ is a binary variable representing the condition that u has a GBR bearer, the final metric becomes: begin{aligned} mathrm{T} (u,t)& = frac{QoS u)}{overline{R} u,t)} expleft[!beta frac{overline{delta} u,t)}{Delta u)}+mu u rho left[!1-frac{overline{R} u,t)}{R_{GBR} u)}!right]!right], end{aligned} (4).

Let x 1 be a binary variable representing the intervention group, x 2 a binary variable representing the survey (baseline vs. final post-intervention), and x 3 an interaction parameter to represent how the intervention is modified by successive surveys.

The comorbidity predictor was constructed as a binary variable representing the presence (= 1) or absence (= 0) of any of the 17 chronic non-insomnia-competing conditions reported by the respondents based on prior physician diagnoses.