Sentence examples for groups of characteristics from inspiring English sources
The main groups of characteristics were mineralogy and superficial microstructure represented by curves from X-ray diffraction analysis and differential thermogravimetric analysis, as well as particle size distributions.
Evaluation of dynamic properties reveals the multiscale nature of electrolytic plasma processes, which can be described by three time constants separated by 2 3 orders of magnitude (minutes, seconds and milliseconds), corresponding to different groups of characteristics in the model.
The meaning of the other words in this list also change in the majority of subjects between list A and list B. Words such as "impulsive" and "critical" take on a positive meaning with A, but a negative meaning with B. Similarity and difference of impression In another central experiment, Asch presented participants with four groups of characteristics.
Comparison of the IKv amplitude, cell size, and steady-state activation and inactivation characteristics of the current measured in identical experimental conditions revealed significant differences in all three groups of characteristics in PASMCs and MASMCs.
Uniquely to Euclidean distance, Mahalanobis distance takes the correlation of every two groups of characteristic values into account and solves the repetitive information reused that leads to the clustering results inaccuracy.
Possible origin of plant Rhilphs from α-proteobacterial phosphatases is also supported by the presence in the enzymes of both groups of characteristic inserts in similar positions, which share some sequence similarity (see Results).
Angiosperms are sometimes divided on the basis of a group of characteristics into two groups: the monocotyledons and the dicotyledons.
After 28 years in law enforcement, he might be able to recognize a group of characteristics typical of a drug courier that might seem innocuous when viewed individually or by a lay person, the court said.
Furthermore, by incorporating a group-wise causality principle into the Gauss Seidel iteration by following a finite group of characteristics, we have an easy-to-implement, sweeping-type, and fast convergent numerical method.
The pattern of the groups along time was interpreted through a non-hierarchical clustering procedure and the stabilization of each group of characteristics was achieved within 9 13, 9 14, 6 13, and 4 11 days after diet switch, respectively.
