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This chapter delineates a framework based on statistical and mathematical approaches to measure and manage this risk, and highlights the requirements for the data architecture of the model.
This first comprehensive list of research questions enabled us to derive technical requirements for the data acquisition system, and thus laid the foundation to enable researchers to address further questions even after the end of the project.
Although, our method has been invented for the inference of gene regulatory networks applied to expression data, it may find application in other fields as well that aim at inferring causal relations among covariates, because the requirements for the data are moderate.
The events related to birth, death, and the perinatal period, as well as the reporting requirements for the data from which internationally comparable statistics are drawn, are defined in detail in the International Classification of Diseases, 10th Edition (ICD-10), Instruction Manual, [ 2].
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The most important requirement for the data used in the strategic review process is that they be objective.
The only basic requirement for the data driven approach is the availability of representative data for the phenomena.
Compared to many traditional methods, the memory requirement for the data saved for each pixel is very small in the proposed algorithm.
To address this limitation, hyperspectral sounders have been proposed for geostationary orbiting satellites, but these have yet to be built and launched in part due to much higher engineering costs and a lack of a definite requirement for the data.
You need to identify any special requirements (particularly legal requirements) for handling the data, and assure compliance with them.
Certain issues, including large volumes of metagenomic sequence data, large storage requirements for the analyzed data, and the typically large number of unknown sequences in the metagenomic data still pose serious challenges for its analysis.
Other steps are comparable (the systematic search for, selection and critical appraisal of the guideline) or necessary requirements for the SGR (data extraction and information synthesis).
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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