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A threshold model used in toxicology posits that anything above a certain dose of a toxin is dangerous, and anything below it safe. This model is usually applied to non-carcinogenic health hazards. Edward J. Calabrese and Linda A. Baldwin wrote: The threshold dose-response model is widely viewed as the most dominant model in toxicology. [6]
The linear no-threshold model (LNT) is a dose-response model used in radiation protection to estimate stochastic health effects such as radiation-induced cancer, genetic mutations and teratogenic effects on the human body due to exposure to ionizing radiation. The model assumes a linear relationship between dose and health effects, even for ...
A classification model (classifier or diagnosis [7]) is a mapping of instances between certain classes/groups.Because the classifier or diagnosis result can be an arbitrary real value (continuous output), the classifier boundary between classes must be determined by a threshold value (for instance, to determine whether a person has hypertension based on a blood pressure measure).
Threshold, a 2008 film directed by Deepak Rauniyar Threshold (TV series) , an American science fiction drama TV series "Threshold" ( Stargate SG-1 ) , an episode of the TV series
However, given the criticism of the basic assumption of the mathematical model, this approach is problematic. [ 8 ] The result introduces a Catch-22 mystery for biologists, Eigen's paradox : in general, large genomes are required for accurate replication (high replication rates are achieved by the help of enzymes ), but a large genome requires ...
The point at which critical mass is achieved is sometimes referred to as a threshold within the threshold model of statistical modeling. The term "critical mass" is borrowed from nuclear physics, where it refers to the amount of a substance needed to sustain a chain reaction. Within social sciences, critical mass has its roots in sociology and ...
To describe and understand global cascades, a network-based threshold model has been proposed by Duncan J. Watts in 2002. [1] The model is motivated by considering a population of individuals who must make a decision between two alternatives, and their choices depend explicitly on other people's states or choices.
Maas–Hoffman model fitted to a data set by regression analysis. The soil salinity on the x -axis is represented by electric conductivity (ECe). In this example the crop has a salt tolerance (threshold) of ECe = Pb = 7 dS/m beyond which the yield diminishes.