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  2. PrettyLitter - Wikipedia

    en.wikipedia.org/wiki/PrettyLitter

    PrettyLitter is an American pet wellness company based in Los Angeles, that produces lightweight crystal-based cat litter that is designed to react to a cat's urine to indicate potential health problems by changing color based on the acidity, alkalinity or the presence of blood in a cat's urine.

  3. 4 Reasons to Try PrettyLitter, the Cat Litter That Can Tell ...

    www.aol.com/4-reasons-try-prettylitter-cat...

    Since the litter doesn’t clump, the urine sinks to where it could pool or cause the litter at the bottom of the box to turn blue and harden over time. 4 Reasons to Try PrettyLitter, the Cat ...

  4. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.

  5. Ed Lowe (businessman) - Wikipedia

    en.wikipedia.org/wiki/Ed_Lowe_(businessman)

    Edward Lowe. Edward Lowe (July 10, 1920 – October 4, 1995) was an American businessman and entrepreneur, noted for the invention of cat litter. [1] The Small Business School described him as "building a huge business from nothing", [2] and cites him as a textbook example of an individual who "created a product, brought it to marketplace, invented an industry and sold his business for ...

  6. What Really Causes a False Positive COVID-19 Test? Experts ...

    www.aol.com/false-positive-covid-19-test...

    False positive COVID-19 tests—when your result is positive, but you aren’t actually infected with the SARS-CoV-2 virus—are a real, if unlikely, possibility, especially if you don’t perform ...

  7. False positive rate - Wikipedia

    en.wikipedia.org/wiki/False_positive_rate

    The false positive rate is calculated as the ratio between the number of negative events wrongly categorized as positive (false positives) and the total number of actual negative events (regardless of classification). The false positive rate (or "false alarm rate") usually refers to the expectancy of the false positive ratio.