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The results presented in this study provide important information regarding the influence of fasting and temperature on chinook salmon performance and metabolism, providing basis for future nutritional and compositional studies for this important commercial species.Machine learning (ML) approach was applied for the prediction of biocrude yields (BY) and higher heating values (HHV) from hydrothermal liquefaction (HTL) of wet biomass and wastes using 17 input features from feedstock characteristics (biological and elemental properties) a
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