The amount of projects that have been developed to either complement or replace these original elements has made the current definition of Hadoop unclear.
In order to further enhance the FEE performance of MWCNTs, strategies are being developed to either increase their electron current density or, even better, reduce their associated threshold field (TF).
Test planning and post-test correlation activity have been issues of growing importance in the last few decades and many methodologies have been developed to either quantify or improve the correlation between computational and experimental results.
To this end methods are being developed to either cryosection frozen-hydrated tissues [10] or focused-ion-beam mill thin slabs [11] suitable for tomography.
Without attempting a universal statistical standard, several machine-learning based approaches have been developed to either re-rank identified candidate peptides [5], [6] or to combine search results from several search methods [7], [8].
New algorithms that expand phylogenetics to incorporate the entire genome, including those based on average amino acid identity [13], shared gene orthology [14], [15], protein structures or domains [16] [18], and correlated indel alignments [19], were developed to either verify existing 16S rRNA phylogeny or to suggest new phylogenetic relationships [18].
Strategies can be developed to reduce either the probability of an event or the consequences, or both (Dai et al. 2002; Brooks 2003; Sarewitz et al. 2003).
Later, other tools can be developed to transform ontologies in either OBO format or OWL into UML using, for example, the XML Metadata Interchange (XMI) format [ 65], thus contributing to unfold the profile full potential.
How can these policies be developed to accommodate technologies that either do not yet exist or are only now being tested on the road in constrained environments?
Numerical methods have also been developed to treat either growth or dissolution with concentration-dependent diffusivity.
