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Bioconcentration. In aquatic toxicology, bioconcentration is the accumulation of a water-borne chemical substance in an organism exposed to the water. [ 1][ 2] There are several ways in which to measure and assess bioaccumulation and bioconcentration. These include: octanol-water partition coefficients (K OW ), bioconcentration factors (BCF ...
Survival function. The survival function is a function that gives the probability that a patient, device, or other object of interest will survive past a certain time. [ 1] The survival function is also known as the survivor function[ 2] or reliability function. [ 3] The term reliability function is common in engineering while the term survival ...
Survival analysis is a branch of statistics for analyzing the expected duration of time until one event occurs, such as death in biological organisms and failure in mechanical systems. This topic is called reliability theory, reliability analysis or reliability engineering in engineering, duration analysis or duration modelling in economics ...
The BIM Collaboration Format (BCF) is a structured file format suited to issue tracking with a building information model. The BCF is designed primarily for defining views of a building model and associated information on collisions and errors connected with specific objects in the view. The BCF allows users of different BIM software, and/or ...
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The Biopharmaceutics Classification System (BCS) is a system to differentiate drugs on the basis of their solubility and permeability. [1] This system restricts the prediction using the parameters solubility and intestinal permeability. The solubility classification is based on a United States Pharmacopoeia (USP) aperture.
Data editing is defined as the process involving the review and adjustment of collected survey data. [1] Data editing helps define guidelines that will reduce potential bias and ensure consistent estimates leading to a clear analysis of the data set by correct inconsistent data using the methods later in this article. [ 2 ]
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]
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