Sentence examples for characteristics of clusters from inspiring English sources
Wang et al. proposed a Novel Statistical Clustering Model to determine the macroscopic characteristics of clusters, and then, the thermal conductivity of a nanofluid [73].
Other important energetic characteristics of clusters, e.g. monomer or dimer binding energies, can be easily obtained from these analytical expressions and can be used in rate theory or object kinetic Monte Carlo simulations of nanocluster evolution.
The structural parameters of the model such as the distribution of filler sizes, the fractal characteristics of clusters (agglomerates) and the presence of large dense particles (micropellets) are taken from the AFM-images of carbon black filled styrene butadiene vulcanizates.
The challenge of visualising the multidimensional nature of the dataset was addressed using hierarchical and K-means clustering as well as parallel co-ordinate plots to help identify process fingerprints and characteristics of clusters leading to sub-optimal facility fit issues.
Characteristics of clusters will be summarized at baseline and across study arms (SHQIP or usual practice).
Complementary characteristics of clusters on service use are displayed in Tables 4 (categorical variables) and 5 (continuous variables).
Nevertheless the main characteristics of cluster identified remain robust (Wang 2001).
The patients who participated in our pilot survey had the typical characteristics of cluster headache and they had received a precise diagnosis of episodic CH according to the ICHD-II classification [1] by a specialist of the headache centre.
The technology is now evolving rapidly with industrial equipment being engineered for many diverse surface processing applications which are made possible by the unique characteristics of cluster-ion/solid-surface interactions.
There were no differences in cluster size and characteristics of cluster between the groups.
Odds ratios for clustering with 95% confidence intervals were calculated to compare characteristics of clustered and nonclustered patients.
