Making the what, when, and who of non-drug treatments easier to understand would benefit researchers and readers Complex interventions consist of several separate components combined to produce a ...

Abstract: This article proposes a graphical method to evaluate the feasibility of intentional islanding of distributed synchronous generators. The approach is based on the combination of the ...

The first step to apply the graphical method is to understand the problem and translate it into a mathematical model. You need to identify the decision variables, the objective function, and the ...

The graphical lasso method is used to find a sparse inverse covariance matrix. Why is this useful? The (i,j)th element of the inverse covariance matrix is known as the partial-correlation between ...

Graphical models are diagrams that use nodes and edges to depict variables and their dependencies in a system. There are different types of graphical models, such as Bayesian networks, causal networks ...

ABSTRACT: Objective: This study was conducted to compare the cardiac output by using Electrical Cardiometry (EC), a noninvasive method of continuous cardiac output monitoring during cardiac surgery ...

Abstract: Different graphical diagnostic methods, which are based on dissolved gas analysis (DGA) are widely used for fault diagnosis and monitoring of dielectric liquid filled transformers. The ...

Biological networks are often inferred through Gaussian graphical models (GGMs) using gene or protein expression data only. GGMs identify conditional dependence by estimating a precision matrix ...

Author A.J. Cavallo nicely identified the uses, meanings, and limits of the bell-shaped curve for predicting oil production (OGJ, June 6, 2005, and June 13, 2005). I fully agree that the bell-curve ...