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2. Read the indictment against Sean ‘Diddy’ Combs - AOL

   www.aol.com/news/read-indictment-against-sean...

   Sean “Diddy” Combs has been charged with racketeering conspiracy and sex trafficking in a federal indictment unsealed Tuesday in New York.. Combs is expected to plead not guilty to the charges ...

3. Jean-Claude Van Damme - Wikipedia

   en.wikipedia.org/wiki/Jean-Claude_Van_Damme

   Van Damme was born Jean-Claude Camille François Van Varenberg, on 18 October 1960, in Berchem-Sainte-Agathe, Brussels, Belgium, the son of Eliana and Eugène Van Varenberg, who was an accountant and florist. [6][7][8] His father is from Brussels and bilingual, and his mother is Flemish (Dutch-speaking). [9]

4. Nearly 1 in 10 moms regret their baby's name, survey finds - AOL

   www.aol.com/nearly-1-10-moms-regret-151924087.html

   And it turns out some degree of regret over a baby name occurs in nearly 1 in 10 moms, according to a survey from. BabyCenter. The baby names blog surveyed 478 parents and found 9% regret the name ...

5. FEMA opens disaster recovery centers in Vermont after last ...

   www.aol.com/news/fema-opens-disaster-recovery...

   The Federal Emergency Management Agency has opened disaster recovery centers in Vermont communities hit hard by violent flooding in mid-July while Gov. Phil Scott said he sought another federal ...

6. Frederick the Great - Wikipedia

   en.wikipedia.org/wiki/Frederick_the_Great

   Frederick II (German: Friedrich II.; 24 January 1712 – 17 August 1786) was the monarch of Prussia from 1740 until 1786. He was the last Hohenzollern monarch titled King in Prussia, declaring himself King of Prussia after annexing Royal Prussia from the Polish–Lithuanian Commonwealth in 1772. His most significant accomplishments include his ...

7. Eigenvalues and eigenvectors - Wikipedia

   en.wikipedia.org/wiki/Eigenvalues_and_eigenvectors

   Eigenvalues and eigenvectors. In linear algebra, an eigenvector (/ ˈaɪɡən -/ EYE-gən-) or characteristic vector is a vector that has its direction unchanged by a given linear transformation. More precisely, an eigenvector, , of a linear transformation, , is scaled by a constant factor, , when the linear transformation is applied to it: .