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The first application makes a relatively minor adjustment to the standard machinery by augmenting the standard model inputs with new features learned from data using an MLP.
The performed scenarios cover all model inputs with importance.
The bacterial load as well as clinical and laboratory parameters were model inputs with the output parameter being organ failures and/or mortality.
Table 1 shows the key model inputs with values for the base case scenario, including ranges for the one-way sensitivity analysis.
Akaike information criteria and partial rank correlation coefficients were employed to correlate model inputs with outcomes that were selected based on clinical and biologic relevance.
To identify factors that have the greatest effect on the probability of transmission from a farm, we produced a general linear regression model to compare the model inputs with the predicted relative transmission risk.
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The goal of these inverse problems is to find values for model inputs consistent with a steady circulation and, at the same time, consistent with the available data.
The developed approach allows subsequent propagation of uncertainty in model inputs consistent with reported statistics, in the absence of data.
By way of a recently developed attribution metric, this study is aimed at developing a method for analysing variability in model inputs together with model structure variability to quantify their relative contributions in typical hydrological modelling applications.
The authors found that models inputted with infrastructure, vegetation management, ProxPix, performed up to 5 13% better than simpler models depending on model evaluation criteria and input data; and that the model forced with utility infrastructure and ProxPix had the best overall performance.
Relative L2 error norms were computed to compare ln(Inference Score) predictions from the regression models input with property data for aluminum [Al III)], chromium [Cr VI ], and vanadium [V V)].
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