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For the survival model, data from 6149 men were used.
In support of the model, data from literature are adopted where appropriate.
In order to test the numerical approach, parameters and model, data from the literature was correlated.
The data have been compared with both experimental and numerical turbulence model data from other workers.
Machine learning uses computational, theoretical, and statistical principles to develop algorithms that model data from real-world phenomena and make accurate predictions about the phenomena.
Using a random-effects model, data from each study were pooled and weighted by the inverse of their variance.
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Modelling data from previous elections, the New Economics Foundation, a think-tank, suggests that AV would merely trim the number of safe seats, so that 16% rather than 13% would change hands at a typical election.
Intron coordinates were taken from the Known Genes track of the UCSC Table Browser, which stores the most reliable gene-model data from the Uniprot and Refseq databases.
For the PenV PLS-model data from fermentation run 2 were omitted, since no PenV was produced during this run.
For the longitudinal genetic modeling, data from twin pairs and two additional siblings (brother and sister) were analyzed.
For OCV (Shanchol™), we fitted an exponential curve to the OCV (Dukarol®) coverage-effectiveness modeling data from Longini and others.
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