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The answer to all three queries is a resounding "oui".
All ends happily, even though one of the animals the bird queries is a cat.
Methodological handling of queries is a crucial requirement in social networks connected to a graph NoSQL database that incorporates massive amounts of data.
Constructing semantic queries is a demanding task for human users, as it requires mastering a query language as well as the schema which has been used for storing the data.
Expertise matching, which aims to find the alignment between experts and queries, is a common problem in many applications such as conference paper reviewer assignment, product reviewer alignment, and product-endorser matching.
Determining the meaning of ambiguous single word queries is a holy grail of sorts; search engineers must find that frustrating.
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The transfer format used for PubChem structure queries is an extended, backwards-compatible SMARTS version.
The final result of those queries is an analytical document, which can be stored, accessed, and embedded via Google Drive.
Credit report queries are a top target.
(In the United States, "bomb making" queries were a favorite in Ohio, Washington and Michigan, at least as of late last week).
If you type "bike h" you get queries that aren't helpful — partial queries were a waste.
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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