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Research currently underway at the Sustainable Consumption Institute, drawing on a recent large-scale data set of eating patterns in the UK, suggests the more socially significant a meal is – such as a dinner party with family and friends – the more food waste results.
As an illustration, we include an analysis of growth in language and literacy achievement for preschool children in a large-scale data set obtained as a national probability sample.
We used APPIA to detect the subset of potentially biologically meaningful interactions from this large-scale data set.
One major challenge for the discovery of site-specific functions is to select a small number of sites from a large-scale data set for follow-up experiments.
Thus, our heuristic is likely to be applicable whenever a correlation network is computed, and therefore is suitable for screening large-scale data set for causal structure.
Validation on a large-scale data set with several hundred patients is required to make the systems usable in clinical settings.
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Recently, several theoretical models were developed based on relatively large-scale data sets with diverse compounds [9 12].
This eFP Browser engine paints data from large-scale data sets onto pictographic representations of the experimental samples used to generate the data sets.
This is especially true when the algorithms are operating on large-scale data sets.
The available published evidence is principally retrospective, with a few large-scale data sets now available.
Moreover, paper [69] suggested a scalable approach to anonymize large-scale data sets.
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