Sentence examples for maximise the data from inspiring English sources

The study is of seamless design that is driven by the need to maximise the data from an exceptionally small patient population and to provide continuity of care in this rapidly progressing disease – a result of direct feedback from parents.

The last of the 3Rs, reduction, is reflected in the development of scientific methodologies that minimise the number of experimental animals required to provide sufficient statistical power and seek to maximise the data obtained from each individual life.

This finding supports the decision to maximise the data from two animals (BRh3 and BRh4) by placing two injections within the thalamus in different sites in opposite hemispheres, where one site was the medial dorsal nucleus (see Table 1).

To maximise the data available for intron detection, reads from all samples including T. hominis-infected cells were pooled and mapped onto the T. hominis reference genome using TopHat2 [ 102].

One plausible reason why researchers choose not to use IPD for external validation is that they want to maximise the data available for model development; this is understandable, especially when faced with a large set of candidate predictors and possible non-linear relationships.

If a major postoperative complication (eg, haemorrhage requiring return to theatre, difficulty weaning from artificial ventilation or cerebrovascular event interfering with communication) is experienced, as much data as possible will be recorded to maximise the data set available for intention to treat analysis.

Significantly, both products are focused on ways of maximising the data that exists in the LinkedIn walled garden, rather than venturing into the wider web to do this.

Good pathology practices also make a substantial impact to the 3Rs (Reducing the number of animals used, Refining experiments to minimise the impact on animals, and Replacing animal experiments wherever possible with alternatives) by maximising the data gained from individual animals and therefore reducing the number of animals needed to fully evaluate a model or phenotype.

An active approach is proposed whereby the input variables are designed so as to maximise the information content of the data for optimal model adaptation.

For future studies a wider variety of aims and objectives, e.g. the comparison of sensitivity and specificity of the different imaging techniques for certain measurements, should be investigated to maximise the information of collected data.

This detailed domain-specific metadata helps to provide customised search options and then maximise the included data values.