Sentence examples for interrelation measures from inspiring English sources

Furthermore, classical interrelation measures such as Fourier-based coherence and correlation rely on the stationarity of the measured signals, which is a condition that is rarely fulfilled with real biological signals.

Time-resolved TMS over multiple brain network nodes can elucidate the relative timings of functional relevance for behavior ("TMS chronometry"), while fMRI functional or effective connectivity (fMRI EC) can map task-specific interactions between brain regions based on the interrelation of measured signals.

More precisely, we intended to reveal and explain the interrelation between burnout, measured with MBI-HSS - (Maslach Burnout Inventory for Human Service Survey) and intra-individual dimensions represented by subjective well-being, self esteem and locus of control.

Such information inequalities describe general interrelations between parametric measures based on arbitrary information functions.

The inequalities presented in this paper show interrelations between entropy-based measures applied to special classes of graphs.

In general a necessary approach in this case is to incorporate into the NO measures the interrelations of the meridian points based on the Chinese medicine principles [ 19, 47].

In comparison with conventional approaches of quality and process improvement, Six Sigma is the most effective approach because of the interrelation between planning, organizational structures, measures, tools and techniques (Tilo et al. 2004; Zu et al. 2008).

We used the heart rate (HRV: heart rate variability analysis in RR intervals), pupil reflex, and salivation as parameters, but the interrelation between each parameter and fNIRS measures remains unknown.

Then fabric size including weight and thickness, stretch properties (stretch, elastic recovery), and clothing pressure were then measured, to analyze their interrelation.

In the present paper, we studied interrelations between classical and novel entropy measures to quantify the structural information content of networks.

Thus, as the major contribution of our paper, we put the emphasis on examining interrelations between information-theoretic network complexity measures often used in mathematical chemistry, that is, we shed light on the problem which kind of structural information the measures detect when applied to chemical graphs.