Sentence examples for interrelated cluster from inspiring English sources

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This hypothesis is further supported by combined correlation and median split analysis, showing a significant prediction of hyperalgesia and motor dysfunction by the closely interrelated cluster of ongoing pain, pain-related disability, stress and depression (Figure 7).

Similar(59)

The FFM thus represents a structure of personality traits consisting of five broad bipolar domains or dimensions that are defined by clusters of interrelated specific traits.

Repeated exposure to traumatic stressors may result in PTSD, shutdown dissociation, and depression, whereby these three symptom clusters are interrelated but not interchangeable.

Metabolic syndrome (MetS) is a clustering of different interrelated cardiometabolic risk factors including obesity, elevated blood pressure (BP), dyslipidemia and impaired fasting plasma glucose (IFG).

Then, clusters whose eigengenes were interrelated with correlation of more than 0.7 were merged.

Rather than assuming that a module is a set of nodes connected to one another, edge clustering defines modules as sets of closely interrelated links.

The two-cycle compression testing is conducted to determine hardness, cohesiveness and springiness that are also interrelated with sensory attributes using the method of hierarchical tree clustering.

Importantly, this also suggests that while most of the structural covariance in cortical folding is limited to proximal nodes (clustering), gyrification patterns of distal regions are also strongly interrelated.

Gout (T92), psoriasis (S91) and osteoarthritis (OA) (diagnostic cluster) were excluded from the analysis, because these diseases may be interrelated to IA.

The main characteristic is that the AR item and ARCH item are interrelated with each other so that it can depict the excess kurtosis and volatility clustering information in the vibration signal more accurately in comparison with two-stage AR/ARCH model.

The algorithm based on link communities performs a hierarchical clustering of interactions and considers a module to be a set of closely interrelated interactions.

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