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Online Power Spectral Density (PSD) analysis necessitates real-time PSD data conversion is a must.
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In particular, using asynchronous systems for data conversion is an effective technique in order to reduce power consumption.
The data conversion is improved by proportional allocation for those source units that do not fit within a single target unit.
The distinction between information resources and their representations, which is considered a key feature of REST, enables the processing resource to choose the most appropriate representation (i.e. no additional data conversion is necessary!) and keep track of the data provenance by simply referring to the data URI and its relevant metadata.
Base calling and FASTQ data conversion were performed using the Illumina pipeline CASAVA 1.8 package.
Image analysis and data conversion were carried out using the Geomagic software system.
This data conversion was also followed by Ln transformation and Student's t-test analysis.
Standardized data formats greatly eased the workload on our curators in that custom data conversion was not required.
Suppose that parallel data after serial-to-parallel conversion is a N- points data and bandwidth compression factor is α.
The result from this conversion is a coverage whose data is based on square grid cells rather than a series of vectors.
Interestingly, we also observed photoconversion of the original dimeric KO (data not shown), suggesting that the conversion is an intrinsic property of the mKO chromophore rather than a consequence of the extensive mutagenesis that was necessary to generate a monomeric protein [26].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com