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Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.
We presented a novel apparatus and method for laser beam position detection and pointing stabilization using analog position-sensitive diodes (PSDs).
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.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.