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This leads to a probability lower than 1 - ( 1 - α c 2 ) r τ to find less than τ times the identifier of a close message; probability that can thus be made small, cf. the example in Section Discussion.
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You can now pinch two fingers to both open and close messages.
The scheme is said to be complete, up to a probability 1 - ϵ1 if Pr m ′ ∃ i, e d ( m ′, m i ) ≤ λ m i n & φ ( m i ) ∉ Φ ( m ′ ) ≤ ϵ 1. (i.e. that except with a small probability all close messages are retrieved during the search through a Retrieve query).
Mr. Santorum has the better closing message.
But his closing message was succinct: No more Liguria; Liguria is over.
"Who will you make peace with?" the advert's closing message reads.
But his closing message failed to display much optimism about Britain's future.
His closing message is rooted largely in a vow not to run negative advertising despite the "sick" and "grotesque" lies being spread about him across the state.
Although his closing message is better defined and he is drawing distinctions with his rivals more crisply, his candidacy continues to face hurdles.
The ad, which will run in 10 states, underscores Mr. Obama's closing message by showing Mr. Powell, a Republican, declaring that "we ought to keep on the track that we are on".
Here's his closing message: As we leave the orphanage I am happy to have seen Julius again but troubled that the flow of baby orphans has not slowed.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com