Sentence examples for structured variability of from inspiring English sources

Valero-Cuevas†, F. J., Venkadesan†, M. & Todorov†, E. Structured variability of muscle activations supports the minimal intervention principle of motor control.

Our study revealed a structured variability of topsoil properties in the selected tropical Alfisol catena.

In this discussion paper we address the concept of structured variability, particularly the role of system structure as implementing a certain representation on which basic variational mechanisms act on.

Impact of device structure variability of silicon nanowire FETs is assessed and SRAM design implication is presented based on 3-D numerical simulation.

Investigations of the genetic structure, variability of parasite populations and other biological aspects of this host parasite system are limited due to the lack of genetic resources for S. obvelata.

Examples of fibril structure variability of Aβ11−25 and the full-length Aβ1−40 obtained by X-ray diffraction are shown in Figure 3A.

52, 53 Genetic mechanisms of variability include horizontal gene transfer of DNA sequences, 54 phase variation through a slipped strand mispairing mechanism, 55– 57 and transposition of mobile elements 58 that create surface structure variability of the organism, gene conversion, and antigenic variation via homologous recombination 21, 59– 62 and regulation by the two-component regulatory system.

We then introduce a unique feature of PMP the analysis of structural variability of experimental structures and models.

In this context, the RMSD value was selected as a quantitative indicator of structure variability for alternative conformation within the same molecule.

However these comparisons are hindered because of differences in age structure, variability in definition of hypertension, time of the study, urban versus rural characteristics of the population, and standardisation of blood pressure measurement instruments and procedures.

Such background values could distort both the estimation of the variable at nonsampled locations and the inference of the spatial structure of variability of the variable.