Sentence examples for disaggregation that from inspiring English sources

In a world of increasing aggregation, it is disaggregation that often threatens meaning.

This is the most detailed disaggregation that is possible for GCC countries using official publicly available data.

First, our fundamental limits build on a statistical testing framework to provide a theoretical bound to the accuracy of energy disaggregation that can be achieved by any algorithm.

The authors had introduced a new unsupervised approach for load disaggregation that includes the mutual devices interactions information into the Factorial Hidden Markov Model (FHMM) representation of the aggregate signal in an earlier work.

The ranking of wages is obtained from the 1995 Wage Structure Survey (Encuesta de Estructura Salarial (EES)), which is the closest one to 1997, our initial period.1 Unfortunately, this evidence must be presented at a 2-digit level occupational disaggregation and not at a higher one given that this is the maximum occupation disaggregation that is available from the different EES waves.

However, there are other possible mechanisms for disaggregation that could, for example, include dissociation of the Hsp104/ClpB oligomer.

The specimen was in this incubated for twenty minutes at 37°C in disaggregation solution that contained 0.125% trypsin, 0.01% EDTA and 0.1% glucose in PBS solution.

Intriguingly, Sse1 has recently been shown to function as part of a protein disaggregation system that appears to be conserved in mammalian cells (Shorter 2011; Duennwald et al. 2012).

Results from large EMT6 spheroids agree with our previous findings (obtained using a selective disaggregation method) that cells in the outer regions of spheroids are more sensitive to ADM and HN2 than cells in the inner regions whilst the opposite is true for CCNU.

Furthermore, when we estimated the baseline prevalence of obesity and distribution by both age group and third of income from the Health Survey for England and the Scottish Health Survey, the small numbers of respondents at this degree of disaggregation mean that reported results will be less accurate than overall population level results.

The consequence of disaggregation is that an artificial homogeneity is introduced, so that standard errors are biased downwards, with the consequence of an inflated Type I error.