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Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.
Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.
Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.