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
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
A painful lesson from the COVID-19 pandemic: the need for broad-spectrum, host-directed antivirals
Abstract While the COVID-19 pandemic has spurred intense research and collaborative discovery worldwide, the 6 Piece Queen Bedroom development of a safe, effective, and targeted antiviral from the ground up is time intensive.Therefore, most antiviral discovery efforts are focused on the re-purposing of clinical stage or approved drugs.While emergin
IJCM_290A: Death Audit Analysis from a single Covid-19 DCH of Madhya Pradesh, India
924 Background: In response to the escalating Covid-19-related fatalities in smaller towns and villages, the State Government initiated a daily death audit through the Death Audit Committee in each district.The aim of committee was to comprehensively review Covid-19-related deaths, utilizing the findings to inform policy decisions and prevent futur
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