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To resolve this dilemma, a neural network simulation meta-model of the dual-permeability macropore flow model MACRO was created for pesticide groundwater exposure assessment.
Common DEGs were further investigated as true markers of groundwater exposure.
To this aim, we investigated the effects of polluted groundwater exposure on mice and zebrafish liver by toxicogenomics.
In model 3, the groundwater exposure simulations were run for every combination of the 10 groundwater scenarios with the one digester treatment model.
In this instance, chemical analysis of the groundwater identified TCE as the only reportable contaminant, but other compounds present below reportable limits were noted and may have had a synergistic effect on tumor promotion observed with the groundwater exposure.
MEPs highlight that the consumer risk assessment was not finalised, with data missing, in particular, regarding the potential for groundwater exposure.
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The analysis showed that the stool and drinking water isolates were genetically unrelated, suggesting that in this population Aeromonas gastrointestinal infections were not linked with groundwater exposures.
The case involved many public and private parties who shared the blame for the contamination of groundwater and exposure of humans to toxic substances.
The model integrates groundwater transport, exposure and human metabolism in a comprehensive probabilistic framework which allows the assessment of the risk probability through a novel simple analytical solution.
The study examined the potential impact of groundwater nitrate exposure on prematurity and intrauterine growth restriction (IUGR).
Thus, the consequences of a possible relationship between low-level groundwater arsenic exposure and population health are serious.
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