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Co-optimization is a generalization of this setting, in which fully evaluating a potential solution may require querying some function more than once, typically a very large number of times.
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In silico homology search methods, including normal homology searches such as blast, are, on the contrary, powerful tools with which to detect both close and distant homologies, but they require query sequences that are usually only partially available in non-sequenced species.
Data integration from the EMR often requires querying across different data sources using different information extraction procedures [14].
A standard SPARQL query over RDF data requires query issuers to fully understand the domain knowledge of the data.
This CCD query speed is not enough high because the scale of the brain model is larger and the required query time is less than 30 [ms] for real time simulation.
Clearly, the complexity has increased, but if the knowledge to carry out the process is included in the ontology, constructing the required query is possible.
After selecting the desired species, a series of dialog forms and JQuery-Javascript functions (i.e. for radio and box buttons) help users perform the required query of the database in a user-friendly fashion.
If no follow-up data were available within the hospital system to prove the patient was alive at 45 days, then the follow-up protocol required query of the public social security master death index to determine if a death certificate had been filed for the patient.
Due to the continuous nature of the query, existing solutions require the query issuer and the objects to frequently update their locations.
However, unlike OndexView, such systems require complex querying language constructs to access them.
In this study, we present the Conceptual Query Language (CQL), which does not require entire query paths to be specified but only their terminal points.
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