ANALYSIS OF COMPLETE CHLOROPLAST GENOME SEQUENCES IMPROVES PHYLOGENETIC RESOLUTION IN PARIS (MELANTHIACEAE)




Optimizing predictive features using machine learning for early miscarriage risk following single vitrified-warmed blastocyst transfer

Research questionCan machine learning models accurately predict the risk of early miscarriage following single vitrified-warmed blastocyst transfer (SVBT)?DesignA dual-center retrospective analysis of 1,664 SVBT cycles, including 308 early miscarriage cases, was conducted across two reproductive centers.Multiple machine learning models, such as Log

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TRUCK CRANE HOIST BOOM BUCKLING RELIABILITY ANALYSIS BASED ON PROBABILISTIC AND NON-PROBABILISTIC HYBRID MODEL AND BAYESIAN NETWORK

The accidents of truck crane happen frequently during working because of the structure failure of hoist boom,which result in severe economic loss and casualties.So,the method combining probabilistic and non-probabilistic hybrid reliability theory with Bayesian 730 sunken lake road Network is put forward to analyze the reliability of hoist boom stru

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