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Top Tweets from big moments in the past pop out when you search for a given term.
WordNet is a popular API which provides an excellent way for generating semantic similar terms for a given term.
The number of queries for a given term is rescaled to a value between 0 and 100.
Firstly, we prove the termination of the process which determines the set of tuples that enable new narrowing steps for a given term.
For example, for a given term identified as a member (e.g., method, field), the declaration ambiguity filter analyzes the context of this term trying to find its declaring type.
It obviously isn't a perfect method for one major reason: It's impossible to determine why anyone's searching for a given term.
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We design a strategy that, for any given term t in a fully extended OERS, constructs a longest reduction starting from t if t is strongly normalizing and otherwise constructs an infinite reduction.
For the proof, it is enough to find, for any given term B, a term A such that A=A⊃ B. Curry notes that a twofold construction is possible.
In many cases (such as the cardiac arrhythmias), the Lower-level terms for a given Preferred Term, if looked up in SNOMED CT, may be discovered to have hierarchical relationships among themselves, but these cannot be modeled in MedDRA because a concept "lower" than an Lower-level term is not permitted.
For a given tissue term, samples annotated directly to that term or any of its descendant terms (i.e. cell-types) are now considered positive; samples annotated to only its ancestor terms are excluded from training; and the remaining samples annotated to other term in the ontology including sibling terms are considered negative.
In this study, a document is called technically relevant for a given search term if it contains this term in the full-text.
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Write better and faster with AI suggestions while staying true to your unique style.
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