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More reliable data are harder to come by.
Reliable data are always hard to come by in China.
The findings, necessarily tentative given the paucity of timely and reliable data, are nonetheless striking.
Finally new reliable data are very much needed.
But even the most reliable data are no help to consumers if the information is wrong.
Reliable data are essential for making the right decisions in field management.
Reliable data are scarce, partly because cheaters tend to be untrustworthy on the subject of their cheating, and partly because people disagree on what qualifies as a cheat.
In Fig. 4(a) we show a few paradigmatic examples of large-scale technological, social, and biological networks for which reliable data are available, and juxtapose these networks against a de Sitter causet.
Indeed, because reliable data are available solely about the past, using solid theories of causality is the only way managers can look into the future with any degree of confidence.
Caffeine beverages are widely consumed in the world, so new analytical techniques providing fast and reliable data are essential for a rapid and accurate evaluation of food quality.
The experimental determination of the in-plane mechanical properties of such materials is challenging, yet reliable data are essential for materials development and component design.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com