Sentence examples for of such queries from inspiring English sources
The NSA also conducted about 9,500 queries of associated "metadata" using US persons' identifiers – such as a phone number or email address - in 2013, and considers 36% of such queries "duplicative".
The ONS posed a variety of such queries: participants were asked to make broad judgments about their lives, but, recognising that such answers are often influenced by fleeting moods, researchers also asked them to describe their mood yesterday.
This figure depicts high execution times of such queries on a single compute node.
Most of the navigation tools found in common source code versioning clients are often too rigid to formulate specific queries and adequately present results of such queries.
That may take weeks, months, or centuries, as hundreds of such queries are typically received from first-time authors each week.
Examples of such queries include: searching for extant dental morphologies that are most likely to be specialized in the same diet as a given extinct sample; finding mutant phenotypes that are most likely to be linked to a particular mutation; or simply finding the morphologies that are most similar in shape to a given query morphology.
Research into the design of such query-driven systems has shown the importance of revealing contextual information about the results of a user's textual query rather than simply a relevance-ranked list of resulting documents (Demian and Balatsoukas 2012; Demian and Fruchter 2006b).
The end user specifies a soft condition concerning the trend of some parameters based either on recent or forecasted values: An example of such query can be: Select SM = "wildfire susceptibility map" Where High_increasing pn = temperature during TP = last month AND High_increasing pn = wind during TP = yesterday AND High_decreasing pn = rainfall during TP = last month.
The syntax of such query language is not part of the openEHR specifications yet.
Yet, the graph is highly skewed in Y1's favor, showing that YAHA is significantly more sensitive than MegaBLAST at identifying large numbers of alignments for such queries, while using less runtime.
The response time of a real-time system like ours to such queries is of vital significance.
