Sentence examples for distance characteristic from inspiring English sources
However, this same distance characteristic may be a challenge for periodic servicing mission.
Further, the ordering of side chains in the amorphous phase anticipates the interchain distance characteristic for the crystalline-like arrangements of side chains in the biaxially oriented films, because the average distance between side chains calculated from all incommensurate structures is 4.8 Å, i.e. precisely the distance found between clustered side chains in the amorphous phase.
There is no evidence in the EXAFS spectra for coordination by oxygen, which would be evident by a shift to a shorter first-shell distance characteristic of Cd O bond lengths.
Genes which are adjacent on the chromosome or separated by a certain distance, characteristic of each design, are also printed in proximity on the microarray.
The present paper addresses the sight distance characteristics of this new curve, called transitioned vertical curve.
The concept of collaboration cosmopolitanism has referred to the institutional and geographic distance characteristics of academic researchers' collaboration patterns.
The aim of this work is to determine the distance characteristics of tunnel current in the Pt(100)/water system for characterizing the structure of surface water and its role in STM measurements.
The RFID module has stable operation, reliable performance, long read distance characteristics, and the like.
Whether purely statistical in nature or reflecting some physical generation mechanisms, the time difference and epicentral distance characteristics may be useful for better hazard assessment of large earthquakes (Fig. 7).
If enhancer activity is the primary reason for the conserved sequence and the distance characteristics of the HCEs, then it is logical to assume that the HCE-target gene association should also be preserved during evolutionary history.
They quantified the synchronization between EEG channels in several frequency bands, and then converted EEG signal correlations into graphs to estimate the clustering and distance characteristics of the underlying processing networks.
