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In planning for long-duration spaceflight, it will be important to accurately model the exposure of astronauts to heavy ions in the galactic cosmic rays (GCR).
In contrast, novel knowledge in epidemiology and basic research combined with upcoming large scale technologies of transcriptomics and epigenetics offers a new model – the exposure driven functional model.
We have employed an experimental protocol using repeated, prolonged inhaled administration of HDM, in the absence of experimental adjuvants or peripheral sensitisation, to more faithfully model the exposure to allergen experienced by asthmatic patients.
Based on the fact model, the exposure of interest (X1) is classified as a causal factor for outcome A in all replicates.
A major source of uncertainty comes from the emission factors for fire-derived aerosols that were used to model the exposure estimates.
In the OIR model, the exposure of pups to hyperoxia results in endothelial cell death and vaso-obliteration, which leads to physiological hypoxia [ 23].
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Alternatively we can model the exposure-outcome association smoothly as a function of time, for example using a linear model, β(t) = β0 + β1 t.
Finally, the thickness of regolith or soil overlying rock can be estimated by modeling the exposure rate if the radionuclide contents of both materials are known.
This approach differs from methods 1 3 because it models the exposure given the health outcome.
Tests for trend were performed by modeling the exposure metrics as continuous variables.
We modeled the exposure variables as quartiles to allow for nonlinear associations and for ease of interpretation.
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