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Current fuel used in nuclear light water reactors that generate energy for the grid use a solid form of uranium that is heated and processed to form pellets.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.
The vast majority of energy conversion technologies and industrial processes depend on heat exchangers for transferring heat between fluids.