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  2. Gamma-ray burst - Wikipedia

    en.wikipedia.org/wiki/Gamma-ray_burst

    The observation of minutes to hours of X-ray flashes after a short gamma-ray burst is consistent with small particles of a primary object like a neutron star initially swallowed by a black hole in less than two seconds, followed by some hours of lesser energy events, as remaining fragments of tidally disrupted neutron star material (no longer ...

  3. Big Bang - Wikipedia

    en.wikipedia.org/wiki/Big_Bang

    The Big Bang is a physical theory that describes how the universe expanded from an initial state of high density and temperature. [1] The notion of an expanding universe was first scientifically originated by physicist Alexander Friedmann in 1922 with the mathematical derivation of the Friedmann equations.

  4. Number of 401(k) ‘millionaires’ reaches new high - AOL

    www.aol.com/finance/number-401-k-millionaires...

    As of June 30, nearly half a million 401(k) accounts (497,000) had balances of $1 million or more, up 2.5% from the prior quarter. The average balance hit $1,595,200, up from $1,581,000 at the end ...

  5. Best CD rates today: Beat the national average with ... - AOL

    www.aol.com/finance/best-cd-rates-today-beat-the...

    Continued high rates on certificates of deposit is good news for savers looking for a low-risk way to earn guaranteed returns on their money — more than 10 times the 0.46% national average of ...

  6. Gamma ray - Wikipedia

    en.wikipedia.org/wiki/Gamma_ray

    Gamma-ray sensors are also used for measuring the fluid levels in water and oil industries. [17] Typically, these use Co-60 or Cs-137 isotopes as the radiation source. In the US, gamma ray detectors are beginning to be used as part of the Container Security Initiative (CSI). These machines are advertised to be able to scan 30 containers per hour.

  7. Bayes' theorem - Wikipedia

    en.wikipedia.org/wiki/Bayes'_theorem

    A factory produces items using three machines—A, B, and C—which account for 20%, 30%, and 50% of its output respectively. Of the items produced by machine A, 5% are defective; similarly, 3% of machine B's items and 1% of machine C's are defective. If a randomly selected item is defective, what is the probability it was produced by machine C?

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