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  2. Side project time - Wikipedia

    en.wikipedia.org/wiki/Side_project_time

    Within Google, this initiative became known as the "20% Project." [5] Employees were encouraged to spend up to 20 percent of their paid work time pursuing personal projects. The objective of the program was to inspire innovation in participating employees and ultimately increase company potential. Google's 20% Project was influenced by 3M's ...

  3. Pebble-bed reactor - Wikipedia

    en.wikipedia.org/wiki/Pebble-bed_reactor

    A pebble-bed power plant combines a gas-cooled core [5] and a novel fuel packaging. [6]The uranium, thorium or plutonium nuclear fuels are in the form of a ceramic (usually oxides or carbides) contained within spherical pebbles a little smaller than the size of a tennis ball and made of pyrolytic graphite, which acts as the primary neutron moderator.

  4. History of the wine press - Wikipedia

    en.wikipedia.org/wiki/History_of_the_wine_press

    Ancient Egyptian pressing basin, in which grapes were probably trodden by human feet in the Marea region around present-day Lake Mariout. The exact origins of winemaking (and, thus, of pressing grapes) are not known, but most archaeologists believe that it originated somewhere in the Transcaucasia between the Black and Caspian Seas in the land that now includes the modern countries of Russia ...

  5. Rebate (marketing) - Wikipedia

    en.wikipedia.org/wiki/Rebate_(marketing)

    In marketing, a rebate is a form of buying discount and is an amount paid by way of reduction, return, or refund that is paid retrospectively. It is a type of sales promotion that marketers use primarily as incentives or supplements to product sales.

  6. Peat - Wikipedia

    en.wikipedia.org/wiki/Peat

    Peat in Lewis, Scotland. Peat forms when plant material does not fully decay in acidic and anaerobic conditions. It is composed mainly of wetland vegetation: principally bog plants including mosses, sedges, and shrubs.

  7. Bayes' theorem - Wikipedia

    en.wikipedia.org/wiki/Bayes'_theorem

    Therefore, the test correctly identifies 80% of non-use for non-users, but also generates 20% false positives, or false positive rate (FPR) = 0.20, for non-users. Assuming 0.05 prevalence , meaning 5% of people use cannabis, what is the probability that a random person who tests positive is really a cannabis user?

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