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A box model explaining the processes of toxicokinetics and toxicodynamics. While toxicokinetics describes the changes in the concentrations of a toxicant over time due to the uptake, biotransformation, distribution and elimination of toxicants, toxicodynamics involves the interactions of a toxicant with a biological target and the functional or structural alterations in a cell that can ...
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Box model – The box model is the simplest of the model types. [2] It assumes the airshed (i.e., a given volume of atmospheric air in a geographical region) is in the shape of a box. It also assumes that the air pollutants inside the box are homogeneously distributed and uses that assumption to estimate the average pollutant concentrations ...
The term box model may refer to: Box modeling, in computer graphics; Climate box models, in Earth sciences; Gravity current box models, in fluid mechanics;
black box model: No prior model is available. Most system identification algorithms are of this type. Most system identification algorithms are of this type. In the context of nonlinear system identification Jin et al. [ 9 ] describe grey-box modeling by assuming a model structure a priori and then estimating the model parameters.
Toxicodynamics (TD) and pharmacodynamics (PD) link a therapeutic agent or toxicant, or toxin (xenobiotic)'s dosage to the features, amount, and time course of its biological action. [11] The mechanism of action is a crucial factor in determining effect and toxicity of the drug, taking in consideration the pharmacokinetic (PK) factors. [12]
The original model uses an iterative three-stage modeling approach: Model identification and model selection: making sure that the variables are stationary, identifying seasonality in the dependent series (seasonally differencing it if necessary), and using plots of the autocorrelation (ACF) and partial autocorrelation (PACF) functions of the dependent time series to decide which (if any ...
The theoretical structure may vary from information on the smoothness of results, to models that need only parameter values from data or existing literature. [5] Thus, almost all models are grey box models as opposed to black box where no model form is assumed or white box models that are purely theoretical.