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Notably, rrBLUP maintained high prediction accuracy (0.84) and low resource consumption even at large simulated population sizes, outperforming other linear, Bayesian, and machine learning models

Additionally, the combustion of traditional wood charcoal is associated with higher emissions of particulate matter and heavy metals, including arsenic and cobalt, which contribute to respiratory and cardiovascular risks

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