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Atlantic δ13CDIC reconstructed with machine learning
Gaussian Process Regression reconstructs stable carbon isotope composition of dissolved inorganic carbon in the Atlantic Ocean, expanding historical data coverage 7.65-fold.
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Sentinel-2 chlorophyll-a algorithms performed best after adjustment
Evaluating Sentinel-2 chlorophyll-a algorithms for Thai freshwater eutrophication monitoring. Tropical-specific models improve satellite imagery accuracy compared to temperate region approaches.
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hsa-miR-96-5p validated as a reference for vitreous humor PMI estimation
Validation of hsa-miR-96-5p as a stable endogenous reference gene for qPCR-based post-mortem interval estimation in vitreous humor forensic analysis.
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Polyvariate regression outperforms difference scores for affective polarization
Critique of difference score methodology in affective polarization research with polyvariate regression as superior alternative for studying partisan affect and policy attitudes.
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Explainable models predicted dynamic responses of LPBF A286 lattices
Explainable machine learning framework for predicting dynamic mechanical responses of LPBF-fabricated A286 lattice structures under high-strain-rate impact testing with interpretable design rules.