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Further studies like these are not needed. The phrases "further research is needed" (FRIN), "more research is needed" and other variants are commonly used in research papers. The cliché is so common that it has attracted research, regulation and cultural commentary.
A condition can be either necessary or sufficient without being the other. For instance, being a mammal (N) is necessary but not sufficient to being human (S), and that a number is rational (S) is sufficient but not necessary to being a real number (N) (since there are real numbers that are not rational).
A thesaurus or synonym dictionary lists similar or related words; these are often, but not always, synonyms. [15] The word poecilonym is a rare synonym of the word synonym. It is not entered in most major dictionaries and is a curiosity or piece of trivia for being an autological word because of its meta quality as a synonym of synonym.
NRN, meaning No Reply Necessary or No Reply Needed. The recipient is informed that they do not have to reply to this email. NRR, meaning No Reply Requested or No Reply Required. The recipient is informed that they do not have to reply to this email. NSFW, meaning Not Safe For Work or Not Suitable For Work. Used in corporate emails to indicate ...
The following is a list of English words without rhymes, called refractory rhymes—that is, a list of words in the English language that rhyme with no other English word. . The word "rhyme" here is used in the strict sense, called a perfect rhyme, that the words are pronounced the same from the vowel of the main stressed syllable onwa
You aren't gonna need it" [1] [2] (YAGNI) [3] is a principle which arose from extreme programming (XP) that states a programmer should not add functionality until deemed necessary. [4] Other forms of the phrase include "You aren't going to need it" (YAGTNI) [ 5 ] [ 6 ] and "You ain't gonna need it".
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In carefully designed scientific experiments, null results can be interpreted as evidence of absence. [7] Whether the scientific community will accept a null result as evidence of absence depends on many factors, including the detection power of the applied methods, the confidence of the inference, as well as confirmation bias within the community.