Sentence examples for men of distinguished from inspiring English sources

Incumbents in the job, responsible for security and order at Westminster as well as carrying out traditional duties, had traditionally been one of the so-called "men in tights", retired military men of distinguished record and a certain age handed ceremonial parliamentary roles.

Men of distinguished intellect should not have encouraged the populace, however genuine its discontent, in its small-islander small-mindedness.

Hegel described public opinion as containing both truth and falsehood and added that it was the task of the great man to distinguish between the two.

The majority of men distinguished the two types of sexual relationships and even among men who had once-off transactional sex and gave cash (n = 314), few (34%) reported that they had had sex with a 'prostitute'prostitute

As body armour became all-enveloping, a means of distinguishing men in full armour acquired greater importance and accelerated the spread of heraldry.

Because Roof had refused to have his mental-health history discussed, Bruck was left to portray him as an alienated young man, not fully capable of distinguishing between the real world and the hyperbolic paranoid clamor that he found on the Internet.

An article published in the Winchester Star in 1967 said of McDonald, "fearsome or not, he founded in the Shenandoah Valley a dynasty of military men as distinguished as their forebears had been in the Scottish Highlands".

Hitogami, (Japanese: "man-god"), a way of distinguishing certain characteristics of Japanese religion by focusing on the close relationship between a deity and his transmitter, such as a seer or a shaman.

He built the Legion into a first-rate fighting force of some 20,000 men, which distinguished itself in the Second World War.

All of these men distinguished themselves with long careers for their respective stations, so yeah, it was very competitive.

Colianni writes that he plans to use the data set with Google's TensorFlow's Inception (for training image classifiers) to try to create a convolutional neural network capable of distinguishing between men and women.