I would be glad to serve, it is sickening to serve. Meaning, origin, examples of the use of phraseological units

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Winged words, phraseological units. Meaning, history of origin, examples of use

Winged words, phraseological units

Directory / Winged words, phraseological units

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To serve would be glad, to be sick nauseously

Griboyedov A.S.

Phraseologism: To serve would be glad, it is sickening to serve.

Meaning: About intolerance to servility, toady.

Origin: From the comedy "Woe from Wit" (1824) by A. S. Griboyedov (1795-1829). The words of Chatsky (act. 2, yavl. 2): "Famusov: I would say, firstly: do not be blissful, // Don't mismanage your name, brother, // And, most importantly, go and serve. Chatsky: I would be glad to serve, it would be sickening to serve. Famusov: That's it, you are all proud! // Would you ask how the fathers did? // Would study, looking at the elders ... "

Random phraseology:

Man to man is a friend, comrade and brother.

Meaning:

Phrase-slogan of humanism.

Origin:

From the program of the Communist Party of the Soviet Union, adopted by the XXII Congress of the CPSU (1961). This is how one of the principles of the "Moral Code of the Builders of Communism" is formulated in the program, which reads: "Human relations and mutual respect between people: man is friend, comrade and brother to man."

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A joint study by French and Australian scientists has shown that in some cases, the bee's brain processes visual information almost as well as a human's. This opens up new possibilities for improving machine vision, since the simple brain of a bee is easier to copy electronically than the most complex human brain.

One of the lead authors of the study, Dr. Adrian Dyer of the Royal Melbourne Institute of Technology, notes that learning mechanisms are one of the most important abilities of people that allow a person to cope with various complex tasks. “For example, if a driver wants to turn right at an intersection, then he must simultaneously observe the color of the traffic light, the flow of oncoming cars and pedestrians in order to make a decision,” explains Adrian Dyer. “Over time, our brain learns to solve such complex problems, but for robots it is it's still too hard."

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