Sentence examples for metric methods to from inspiring English sources

However, there is a lack of standardized sampling and metric methods to measure the level of exposure to nanoparticles, and the information related to possible adverse health effects is scarce.

This paper improves the modeling efficiency using the initial metric method to design a mapped mesh auto-flattening algorithm.

In this study we compared single metrics and multi-metric methods to assess coastal and transitional benthic status along human pressure gradients in five distinct environments across Europe: Varna bay and lake (Bulgaria), Lesina lagoon (Italy), Mondego estuary (Portugal), Basque coast (Spain) and Oslofjord (Norway).

In order to sustain these objectives concurrently, this paper applies the LP-metric method to make a combined dimensionless objective.

The peak recognition algorithm made use of a grid correlation metric (see Methods) to locate corresponding peaks in the related data sets.

We therefore used a Mutual Information metric (see Methods) to identify the co-occurrence or absence of insertion sites in order to generate a dendrogram using 504 of our strains, which belonged to the M. tuberculosis Euro-American lineage (or Lineage 4; 500 strains) and the Beijing family (Lineage 2; 4 strains), which was also used as an outgroup.

The weighting and L-P metric methods are used to change a multi-objective function to a single-objective function.

Three of the methods tested, which we collectively refer to as metric methods, require as input a count-to-distance or distance-to-count transfer function: MDS1, MDS2 and PM1.

We simulated another ensemble of datasets to compare non-metric and metric methods when the parameters provided to the different algorithms are not the correct ones.

We provide the default transfer function to all metric methods, thus inducing a miss-specification for all simulated datasets with α ≠ −3. Figure 2 shows the RMSD of each method, averaged over the datasets with different β, as a function of α.

We also showed that misspecification in the count-to-distance transfer function can harm the performance of metric methods, while our model can adapt to unknown distributions within a parametric family.