ATTRIBUTION OF PLASTIC SOURCES USING BAYESIAN INFERENCE: APPLICATION TO RIVER-SOURCED FLOATING PLASTIC IN THE SOUTH ATLANTIC OCEAN

Attribution of Plastic Sources Using Bayesian Inference: Application to River-Sourced Floating Plastic in the South Atlantic Ocean

Most ct104277 marine plastic pollution originates on land.However, once plastic is at sea, it is difficult to determine its origin.Here we present a Bayesian inference framework to compute the probability that a piece of plastic found at sea came from a particular source.This framework combines information about plastic emitted by rivers with a Lag

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EMExplorer: an episodic memory enhanced autonomous exploration strategy with Voronoi domain conversion and invalid action masking

Abstract Autonomous exploration is a critical technology to realize robotic intelligence as it allows unsupervised preparation for future tasks and facilitates flexible deployment.In this paper, a novel Deep Reinforcement Learning (DRL) based autonomous exploration strategy is proposed to efficiently reduce the unknown area of the workspace and pro

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Chromosome-Level Assembly and Comparative Genomic Analysis of Suillus bovinus Provides Insights into the Mechanism of Mycorrhizal Symbiosis

Suillus bovinus is a wild edible ectomycorrhizal fungus with important economic and ecological value, which often forms an ectomycorrhiza 03.2150.400 with pine trees.We know little about the mechanisms associated with the metabolism and symbiosis of S.bovinus and its effects on the nutritional value.In this study, the whole-genome sequencing of S.b

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