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The constant formation of new cyber-threat categories results in the nonstop introduction of startups that are working on new solutions.
The available sources were divided in three categories: results based on questionnaire surveys or sleep logs, studies using actigraphy, and data from polysomnography results.
Although reference to major morphological categories such as root, stem, leaf, and trichome are useful, one has to keep in mind that these categories are linked through intermediate forms so that a continuum between the categories results.
Inconsistent use of item response categories results in disordered thresholds.
No correlation coefficients exceeded 0.5, even within strata of the qualifying BLL categories (results not shown).
Unfortunately, recoding data into fewer than the original 20 categories results in significant loss of signal in the alignments.
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Training of the three different categories resulted in improved naming.
The land cover map with 16 categories resulting from the CCDC algorithm had an overall accuracy of 90%.
To simplify we categorize these changes into eight categories resulting in 64 possible change trajectories for each community.
Mapping of categories resulted in the delineation of zones characterised by one of seven levels of ALP.
For further in-depth analysis we decided to simplify the data by collapsing categories, resulting in a dichotomous variable.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com