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We describe a simplified version of that system, show how quantifiers can be included in it, and study its relation to circumscription and default logic, to logic programming, and to the theory of epistemic queries developed by Hector Levesque and Ray Reiter.
Top-performing queries were almost the same in EMBASE compared to our published search queries developed for MEDLINE [ 16].
The aGFP database was created using general-to-specific strategy enabling the user to obtain a certain amount of information at every step with progressive targeted specification as the query develops.
Currently, there is no single MEDLINE subject heading term for 'systematic review'; this lack of an indexing term requires the end user to employ a Clinical Query developed to locate systematic reviews, or to screen very large sets of irrelevant articles in order to retrieve systematic reviews.
Compared to the search query developed for the identification of prediction models in non-pediatric medicine [ 15], the present search strategy yielded a higher combination sensitivity and specificity by identifying 5 eligible prediction models without missing a citation, but at the expense of a higher number needed to read (NNR 93.2 vs. 74.4).
We also propose the notion of coupled sensitivity for answering differentially private queries and develop an iterative based coupled continual release algorithm, called CCR, that answers these queries with a large set of differentially private results.
By using NoSQL database query languages like CQL (Cassandra Query Language developed to query the NoSQL database, Apache Cassandra), end users can also execute queries to update or retrieve customized information from the data storage layer through secure connections.
"If you're curious how we determined the top searches, we analyzed billions of search queries and developed the list based on searches made with Bing".
Algorithms and queries were developed for searching the dbMinor, for screening the expression of the immunogenic minor H antigenic allele(s) in an HLA-typed individual, and for screening HLA-typed and minor H antigen-typed donor/recipient pairs for putative immune reactivities in the specified combination.
Specific SQL queries were developed and applied in a 3-step process.
Several queries were developed to join the data and to create 'temporary' tables.
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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