The phrase "a hard cut" is correct and usable in written English.
It can be used in contexts such as film editing, photography, or discussions about abrupt changes in various fields.
Example: "The director decided to use a hard cut to transition between the two scenes, creating a jarring effect for the audience."
Alternatives: "a sharp cut" or "an abrupt cut".
In comparison, the force from kicking a field goal amounted to 450 pounds, a hockey check into the boards registered at 500 pounds and a hard cut in football or basketball came in at 700 pounds.
Just as he smiles to himself in a moment of acceptance and momentary satisfaction, Edwards inserts a hard cut to the card table in another room, where fate has prepared a surprise for the unsuspecting Mr. O'Neal.
It's one of the most horrific and justly celebrated, sublimely moral scenes in the cinema — but, seen coming after a hard cut from the Brooks documentary, it halfway looks like a parody of itself.
A tourist faints, perhaps with heat, or fatigue, or some kind of aesthetic overload, and then Sorrentino pulls off a superb coup — a hard cut to a thoroughly outrageous and deafening Eurotrash party being thrown that evening for Jep Gambardella, an elegant, louche, sad-eyed bachelor, now 65 years old, played with a fascinating mask of charm by Toni Servillo.
Shot transitions are generally categorized as a hard cut or gradual transition.
The frames in Fig. 2 show an example of a hard cut; these neighboring frames have no similar content shared between them.
But the bill makes the date a "hard cut-off," apparently meaning the bill eliminates those "emergency measures" the Treasury uses to avoid default (read more here).
This effect becomes very clear when a hard cut-off filter is applied that restricts the lifetime for hit to lead and lead optimization campaigns.
For this test, it is not necessary to make a hard cut-off point between the genes that are DE and those that are not [ 34].
CROP can find clusters based on the natural organization of data without setting a hard cut-off threshold (3%/5%) as required by hierarchical clustering methods.
For the 36 month classification experiment, CFR was used to reduce the original number of features (probes) from 22,282 to 2,675 using a hard cut-off t-test p-value of 0.05.
