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D010366. The peak expiratory flow ( PEF ), also called peak expiratory flow rate ( PEFR) and peak flow measurement, [ 1] is a person's maximum speed of expiration, as measured with a peak flow meter, a small, hand-held device used to monitor a person's ability to breathe out air. It measures the airflow through the bronchi and thus the degree ...
These trains were different from the test train couple used during the ICTS testing in 1983. There are a total of 150 Mark I cars: 114 dating from 1984–1986, which have run an average of more than 3.2 million km apiece; 16 added in 1991 for the Scott Road extension; and 20 added in 1994 for the King George extension.
Provided the data are strictly positive, a better measure of relative accuracy can be obtained based on the log of the accuracy ratio: log(F t / A t) This measure is easier to analyse statistically, and has valuable symmetry and unbiasedness properties.
Researchers from Lund University have found that a new blood test called PrecivityAD2 is about 90% accurate in identifying Alzheimer’s disease in people experiencing cognitive symptoms. As with ...
Brian Atwater, a U.S. Geological Survey scientist emeritus, shows off tsunami-deposited mud. COPALIS BEACH, WASH. — When Japan issued its first-ever “megaquake” warning last week, Harold ...
A blood test can determine whether memory loss is caused by Alzheimer’s disease with more than 90 percent accuracy, according to a new study published Sunday. A group of researchers at Lund ...
"The Flesch–Kincaid" (F–K) reading grade level was developed under contract to the U.S. Navy in 1975 by J. Peter Kincaid and his team. [1] Related U.S. Navy research directed by Kincaid delved into high-tech education (for example, the electronic authoring and delivery of technical information), [2] usefulness of the Flesch–Kincaid readability formula, [3] computer aids for editing tests ...
In statistics, the 68–95–99.7 rule, also known as the empirical rule, and sometimes abbreviated 3sr, is a shorthand used to remember the percentage of values that lie within an interval estimate in a normal distribution: approximately 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.