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We investigated whether participatory science dog teams, trained using devitalized SLF egg masses, could reliably detect these targets and generalize their skills to live SLF egg masses. Our results demonstrate the feasibility of these teams in successfully detecting SLF egg masses using devitalized training samples and generalizing them to live samples.
The results of this study provide valuable insights into the relationship between dietary indices and various metabolic and anthropometric parameters in participants with diverse levels of DII, DIL, DGI, and DGL. These findings contribute to the growing body of literature examining the impact of dietary factors on metabolic health, particularly in the context of NAFLD and cardiometabolic disorders.
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