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\x0a \x0a \x0a \x0a \x0a \x0aBy looking at the varying contributions of sinusoids of different lengths to the power spectrum, you can reliably make estimations about the trends within a data set. Music is a good example. If you examined the power spectrum of the sound waves of different instruments playing middle C, each would look unique—which is why you could tell the instruments apart. But each would have a big peak at middle C—which is how you could tell they were all playing that note. So power-spectral analysis is a very effective way to search for regularities; one has to wonder why it wasn’t used sooner on the fossil record.\x0a\x0a
\x0a \x0a \x0a \x0a \x0a \x0a\x0a\x0aAnd for an instant that lasted ten thousand years he felt the exactly sufficient amount of remorse\x0abecause God is a capable mathematician\x0awhen it comes to remorse.\x0a
…i’m an awe of this, and reminded all over again what poetry can do better than anything else…\x0a
\x0a \x0a \x0a \x0aScientists from the Max Planck Institute of Colloids and Interfaces have developed a new process to put together nanoparticles directly in the environment that is being studied. Additionally, this technique has led to the creation of tiny “light bulbs” that can be attached to specific proteins, opening a new modality for visualizing biochemical processes. (via Nanotech Leads to The Creation of Tiniest Light Bulbs)\x0a\x0a