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The overall strategy is to get a set of points in both image and RW coordinates, then fit some sort of model to the measured data.

After a little digging: I'd imagine that it should be possible to design a molecule -- a protein cage, perhaps a (fully unsaturated) terpine -- which isolates the excited state from oxygen quenching. Furthermore, the article is well written and evidences structured and balanced thought (via appropriate references to the real world).

First, the equations were linearized with three steps of (9-11) to get in the right ballpark: were scaled so the quadratic nonlinearity better matched the data.

The model (16) was fit using regular linear regression over all rows of the validated dataset.

Peering into everyone's purchasing habits and hobbies, however, seems like it will be grossly myopic and, as the article says, Orwellian.

Likely they will train a deep-belief network on past data of weakly and communist party defined success, with all purchasing and social media as the input data, and use that in the proprietary algorithm for giving people their scalars to optimize.

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