Sentence examples for unbalanced use of from inspiring English sources

There were repeated warnings to heed the dark side of globalization, the technology and health gaps as well as the unbalanced use of natural resources.

This differs significantly from what occurs in real breeds, in which an unbalanced use of reproducers is frequently the case, leading to a reduced size of the effective population.

The potential negative influence of conflicts of interests in the validity and reliability of the information should be appreciated; more attention is needed to avoid an unbalanced use of the information as propaganda.

All authors read through several drafts of this paper, including the final, in order to scrutinize the findings in the results section and control for haphazard or unbalanced used of citations and representations of the interviews [ 36].

Unlike repeated-measures anova, mixed model regression controls for repeated measures (multiple samples comprising a single condition) as well as repeated trials within subjects (pre- and post-stimulation conditions), while also allowing for unbalanced data, use of all available data when some are missing, and for incorporation of predictors that change from one time to the next.

The primary distribution circuits are unbalanced not only by the spread use of unbalanced three-phase transformer banks and single-phase distribution transformers, but also by the use of two-phase three-wire and single-phase two-wire circuit laterals.

We consider the use of unbalanced ranked set sampling (URSS) with cluster randomized designs (CRDs), and extend nonparametric estimators and testing methods, previously developed by Wang et al.

The AHP method is often criticized for the use of unbalanced scale of judgments and its inability to adequately handle the inherent uncertainty and imprecision in the pairwise comparison process (Deng 1999).

Multilevel modeling also allows for the use of unbalanced data.

The MDR computational suite 6.1 allows for the use of unbalanced sets allowing greater discrimination against type II errors.

We also hope to develop methods to make more complete use of unbalanced datasets and intend to use our predictor as a component predictor of the consensus predictor Condel [ 18] which outperforms the other individual methods (Acc = 0.882).