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This chapter addresses the issue of designing a scalable, accurate query processor for peer-to-peer filesharing and similar distributed keyword search systems.
The results of experiments on three benchmark datasets (Corel, TU Darmstadt, and Caltech 101) demonstrate that our proposed ESR model and region-matching algorithm are highly effective at image retrieval, and can achieve more accurate query results than current state-of-the-art methods.
PlantOrDB offers highly interactive visualization, accurate query classification and powerful search functions useful for functional genomic research.
Furthermore, PlantOrDB provides accurate query classification and useful data visualization of query sequences within phylogenetic tree and multiple sequence alignment, with powerful search functions useful for functional genomics research.
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One method for translating clinical questions into accurate queries is the PICO method.
Indeed, the graphs G i = (N i, E i ) (where N i is the set of vocabulary terms, E i is the set of edges between terms and i identifies a particular ontology), that undergo the hierarchically structured terms, represent a crucial instrument to shed light on relationships between biological components, thus performing more accurate queries and even promoting the deduction of new relations.
Intuitively, it indicates the "resolution" of the data we can afford: the larger (alpha ) is, the more accurate the query answers are.
Ideally, the most accurate HSQC query should take into account absolute concentrations of the compounds in the sample with their relative isomeric populations.
One can envision a future version of the ABA database which provides an accurate pattern query and comparison tool to help neuroscientists discover genes of interesting spatial profiles and potential network partners in order to better understand the mechanism of a molecular target implicated in certain disease.
However, this assumption is not accurate for query-based applications, where the number of sensors accessing the channel varies over time.
SVC complements existing deferred maintenance approaches by giving accurate and bounded query answers between maintenance.
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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