Sentence examples for motivation for analyzing from inspiring English sources

Exact(6)

The main motivation for analyzing the diphthongs comes from the perception of existing divergences between the scholars on such subject (like the position of a glide, inside a syllable, in the falling diphthongs, that was explained in [17]).

One can therefore expect that middle-aged immigrants who arrive in Sweden are at high risk of being poor when arriving, as are those who arrive of higher age.1 This is an additional motivation for analyzing the relationship between age at immigration and the number of years until a foothold in the labor market in the destination country is achieved.

Our motivation for analyzing the survivor population only was driven by the fact that in the total group, LOS was associated with severity in a non-linear fashion.

The motivation for analyzing the genes of aromatics metabolism in G. metallireducens is to better understand in situ bioremediation by bacteria [ 57].

While the value of this desirable functional redundancy is not analytically explored here, it does however provides an additional motivation for analyzing the properties of combined systems.

Our motivation for analyzing the T. adhaerens genomic data for sequences belonging to this symbiont was generated by previous studies that included bacterial-like genes from T. adhaerens in phylogeny estimations (Felsheim et al. 2009; Baldridge et al. 2010; Gillespie et al. 2010; Nikoh et al. 2010).

Similar(54)

This said, one important unifying framework for analyzing factors in the motivation and retention of health workers is Herzberg's hygiene and motivation theory on job satisfaction [ 13].

Hence, the motivation-to-learn scale may be fully used for comparative research in all but these two countries, where it may be used for analyzing the relationship of motivation to learn to other variables.

Motivation: RNA sequencing based on next-generation sequencing technology is effective for analyzing transcriptomes.

We reconsider the motivation of Data Envelopment Analysis (DEA), the non-parametric technique that is widely employed for analyzing productive efficiency in academia, the private sector and the public sector.

In order to account for motivation when analyzing PIAAC data, four items from the PIAAC background questionnaire were recently compiled into a motivation-to-learn scale.

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