无论最终商业模型是否成熟，这种模式试验本身，都属于产业进化过程中的重要一环。
This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.
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The research, using data from more than 1.8 million people who were tracked over many years, found that vegetarians had a 21% lower risk of pancreatic cancer, a 12% lower risk of prostate cancer and a 9% lower risk of breast cancer compared with meat eaters. Combined, these cancers account for around a fifth of cancer deaths in the UK.
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