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Often there are major challenges in developing diverse and complex human mobility metrics systematically and quickly.
A pressure burst feature has been designed and demonstrated for relieving potentially hazardous excess pressure within irradiation capsules used in the ORNL High Flux Isotope Reactor (HFIR).
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.