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The following examples illustrate the use of these rules.
We then describe a prototype of a decision support system for command and control centers we developed to illustrate and study the use of these rules.
We maintain a very conservative use of these rules, and as such during our study of Site 444, with 71 samples in the dataset, we restricted our element menu to seven (7) elements.
There are a number of caveats to the use of these rules.
Use of these rules could eliminate the need for any tests without missing any cases of subarachnoid haemorrhage for between one in five and one in 10 patients presenting to the emergency department with a headache peaking within an hour.
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The ease-of-use of these rules make them appealing to cloud users.
Not surprisingly, these prediction rules share an important proportion of their predictive variables, as illustrated in Figure 2. Use of these three rules is more difficult than that of the ATS minor criteria, because of the weighting of the different predictive factors and the use of age-adjusted cut-offs.
Alexander justifies the use of these simpler rules on the grounds that, rather than fully rational agents, we are cognitively limited beings who rely on fairly simple heuristics for our decision-making.
For example, use of these defined rules to search for conserved TCR-facing residues in large Dengue sequence databases may contribute to understanding the immunopathogenesis of Dengue Hemmorhagic Fever, a severe manifestation of Dengue infection.
Some teams have made more use of the rule than others.
Up to our knowledge, this is the first work that investigates the possible use of these early stopping rules that do not require noise level information in the communication field.
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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