Sentence examples for order constitute the from inspiring English sources

This regulation provides that governmental liability follows from 'a final determination * * * favorable to a contractor employee.' Petitioner concludes that this Court's decision in Greene v. McElroy, supra, and the District Court order constitute the only final and favorable determination required by the 1955 regulation.

Most important, the book describes how an international search for order constituted the fundamental strategy by which American leaders sought to ensure for the United States a position of what they saw as wealth and greatness in the coming twentieth-century world.

Trump denied that his executive order constituted the "Muslim ban" he once promised, but religious liberty activists noted that the move could enforce a "de facto" ban on Muslims entering the country and further marginalize Muslims communities in the U.S. Trump has been signing executive orders left and right since taking office.

The conservation and enhancement of the values of all three orders constitute the basic moral objective of every people.

It can convey the power of the unbridled imagination to create order, constitute beauty from basically nothing and even save a life.

Neither the two groups nor their internal order constitute a hierarchical order because there is no intrinsic order among the pairs (A.24a).

Line laser is placed in the barrier in order to constitute the two of the edges of the detection area from the line laser beam edges.

Additionally, docking studies were performed employing the crystal structure complex of TTR with bound 2′, 6′-difluorobiphenyl-4-carboxylic acid (PDB: 2F7I) in order to constitute the receptor model for human TTR.

As a carrier of power, language commonly labeled as discourse has the ability to order and constitute the social world [3].

Thus it needs a plurality of all-in-one devices to work together in order to constitute the bus protection, as shown in Fig. 3.

We employed empirical test, which consists of testing a number of values (between 0.5 and 0.8), in order to constitute the limit that allows to classify sentiment words with the smallest error rate.