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

Most 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 CASEIN came from a particular source.This framework combines information about plastic emitted by rivers with a Lagra

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DGCA3QM: DESIGN OF A DUAL GENETIC ALGORITHM BASED AUTOREGRESSION MODEL FOR CORRELATIVE PREDICTION OF AIR QUALITY METRICS

Prediction of air quality metrics is a multidomain task that involves analysis of different inter-related parameters.These parameters include, type of location, NO2 levels, SO2 levels, Respirable Suspended Particulate Matter (RSPM) levels, Fine particulate matter (PM2.5) levels, etc.Researchers have proposed a wide variety of models to predict air

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System Performance and User Feedback Regarding Wearable Bioimpedance System for Multi-Site Knee Tissue Monitoring: Free-Living Pilot Study With Healthy Adults

Knee-focused wearable devices have the potential to support personalized rehabilitation therapies by monitoring localized tissue alterations related to activities that reduce functional symptoms and pain.However, supporting these applications requires reported data to be reliable and accurate which can be challenging in the unsupervised free-living

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