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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.
Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.
The technology describes an electron beam in a storage ring as a quantum computer.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.