Sentence examples for considered null from inspiring English sources

Socialist lawmakers stormed out, saying that the opposition had violated the constitution and that all of their legislative acts would now be considered null.

As the war approached, though, those rights were increasingly considered null and void, particularly in the South and border states.

But John H. Place, the party vice chairman, told Mr. Jones in a letter that any communication with Mr. Mills should be considered "null and void" without evidence of the board's approval.

The occasion for his statement was an arguably superfluous UNESCO resolution, from early May, "reaffirming the importance of the Old City of Jerusalem and its Walls for the three monotheistic religions" and "reminding" the world that Israel is the "occupying Power" — that its "basic law" annexing the eastern part of Jerusalem should be considered "null and void".

Consider this outburst: All federal acts, laws, executive orders, and court orders which restrict or infringe on the people's right to keep and bear arms shall be invalid in Texas, not be recognized by Texas, shall be specifically rejected by Texas, and shall be considered null and void and of no effect in Texas.

He said that the draft resolution said that all Israeli settlement activity in the West Bank and East Jerusalem should be considered null and void and illegal, and that it called on Israel to halt all such activities.

The blue loop is considered null-homotopic (and thus irrelevant), because it can be continuously shrunk to a point.

Populations and loci where no unmasked null alleles were detected we considered null-allele-free.

For this reason, we do not consider null variation signs representing the perfect equilibrium state.

In this article, we only consider null alleles as a sign of a potential deletion when two adjacent SNPs show evidence of null alleles in the same individuals.

A recently developed meta-analytic method, Signed Differential Mapping [ 7, 8], considers null findings as well and thus attenuates the disproportionate influence of single study data sets.