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Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.
A novel approach was applied for the preparation of polymer membranes having CO2-philic group for CO2 separation.