Sentence examples for opposition data from inspiring English sources

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Here's a couple of related opinions that you'd think would result in greater opposition:Data links: Our top-line numbers can be found here.

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There is a small but stalwart core of vaccine refusers who seem unmoving in their opposition; indeed, data suggest that in some areas, such as California, their numbers may be sharply increasing.

Data and performance analysis became an integral part of England's preparations for the 2003 Rugby World Cup, which they went on to win, defeating Australia 20 points to 17. Woodward explains how the analysis platform removed the preconceived notions they had about how other teams played, and the turning point was in seeing the opposition as data, rather than teams they'd never beaten before.

In opposition previous data [5], we did not find a relation neither with previous headaches nor migraine.

The case was later joined by UK MPs Tom Watson, David Davis and with support from others as they built up opposition to data surveillance by the GCHQ and the UK government's IP Act and were turning to the EU to get involved.

But both advocates and criminal justice experts say that despite the police unions' opposition, the data could actually benefit cops.

This includes the nuts and bolts of political campaigns: advertising for and against candidates, polling, opposition research, data base acquisition and management as well as get out the vote efforts.

So if all of Shorten's decisions are based on mitigating criticisms ahead of the next election for instance, the Government can't use his theoretical opposition to data retention as an example of him being soft on defense then clearly gay marriage fits in that box as well.

So if all of Shorten's decisions are based on mitigating criticisms ahead of the next election for instance, the Government can't use his theoretical opposition to data retention as an example of him being soft on defence then clearly gay marriage fits in that box as well.

In opposition, our data does not support the use of CRP in outcome prediction in critically ill patients, however, in comparison with Ho et al. data, our population had higher APACHE II, SOFA scores and TISS-28 as well as a larger subgroup of patients with documented infection.

Some of the markers of cardiometabolic risk analyzed showed important correlations in the female diabetic population, in opposition with the data obtained in the male one, reinforcing the previous data and indications.

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