Sentence examples for that sufficiently many from inspiring English sources

Rather than allowing national parliaments to block EU legislation, the compromise only included a rule under which the Council had to reassess any legislative drafts that sufficiently many national Parliaments viewed to be in violation of the so-called principle of subsidiarity.

A protein is designed to fold into the structure that maximizes the entropy of water under the requirement that sufficiently many intramolecular hydrogen bonds be formed to compensate the dehydration penalty.

The problem with such intermediaries, according to the model, is that they are vulnerable to self-fulfilling investor panics: if investors believe that sufficiently many other investors will try to cash in early, they will follow suit - and in so doing force destructive early liquidation of real investments.

Provided that sufficiently many cells are recruited in this process, the mean level quickly becomes higher than Ca desyn.

That those companies had started to gain a sufficiently strong foothold in the K-12 market to attract substantial investment indicated that they were clearly providing products that sufficiently many schools and school districts, in particular, were finding useful.

The main advantage of association analysis is that it can potentially identify small suspect areas provided that sufficiently many individuals are sampled.

times of machines, compute a deadline that would allow sufficiently many machines to finish all jobs.

Unless Congress passes legislation that sufficiently covers prescriptions, many Medicare dollars spent on hospitalizations and office visits to doctors will continue to be wasted when patients cannot continue their medications at home.

Thus, the matching law equalizes the expected returns on all the options that are chosen sufficiently many times.

In particular, the computations demonstrate that, provided sufficiently many samples are generated, the method effectively overcomes the occurrence of soft faults.

For example, in statistical WSD (e.g., Yarowsky 1992; Chen et al. 2009), since thousands of words have multiple senses in sources such as WordNet, it is difficult to construct a sense-annotated training corpus that contains sufficiently many occurrences of all of these senses to permit statistical learning.