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As of 2020, the most expensive non- synthetic element by both mass and volume is rhodium. It is followed by caesium, iridium and palladium by mass and iridium, gold and platinum by volume. Carbon in the form of diamond can be more expensive than rhodium. Per-kilogram prices of some synthetic radioisotopes range to trillions of dollars.
Legal to carry up to 1.5 oz (43 g) or possess up to 5 oz (140 g) locked inside a home or trunk of a vehicle. Legal to possess up to 5 oz (140 g) per month. Legal for medical & recreational use up to an amount of six plants with only three at a time being mature. Main article: Cannabis in Connecticut.
A mathematical symbol is a figure or a combination of figures that is used to represent a mathematical object, an action on mathematical objects, a relation between mathematical objects, or for structuring the other symbols that occur in a formula. As formulas are entirely constituted with symbols of various types, many symbols are needed for ...
Sure, they cost a pretty penny, but ahead of Labor Day they're a cool buck-fifty off. They have all the features you expect from the best noise-cancelling headphones, minus the potential ...
Boeing is now led by new CEO Robert “Kelly” Ortberg, who came out of retirement to take the job last month. The company has outlined a series of cost-cutting measures. Among them are: a hiring ...
CARACAS (Reuters) -Electricity returned to Caracas and other parts of Venezuela on Saturday after a blackout plunged much of the country into darkness on Friday, although Reuters witnesses ...
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: .
Pearson's correlation coefficient is the covariance of the two variables divided by the product of their standard deviations. The form of the definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted random variables; hence the modifier product-moment in the name.
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