AUTHENTICATION OF HERBAL SUPPLEMENTS USING NEXT-GENERATION SEQUENCING.


Machine Learning-Based Measurement and Prediction of Ground Settlement Induced by Shield Tunneling Undercrossing Existing Tunnels in Composite Strata

To address the issue of insufficient accuracy in traditional settlement prediction methods for shield Wireless tunneling undercrossing in composite strata in Hangzhou, this paper proposes a particle swarm optimization (PSO)-based Bidirectional Long Short-Term Memory neural network (Bi-LSTM) prediction model for high-precision dynamic prediction of

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Activated Neutrophils Secrete Chitinase-Like 1 and Attenuate Liver Inflammation by Inhibiting Pro-Inflammatory Macrophage Responses

Excessive activation and recruitment of neutrophils are generally considered to be associated with pathological aggravation of multiple diseases.However, as the role of neutrophils in tissue injury repair is receiving increasing attention, it is necessary to further explore the beneficial role of activated neutrophils in promoting the resolution of

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