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Mathematical modelling and quantitative methods
Food and Chemical Toxicology, 2002The present review reports on the mathematical methods and statistical techniques presently available for hazard characterisation. The state of the art of mathematical modelling and quantitative methods used currently for regulatory decision-making in Europe and additional potential methods for risk assessment of chemicals in food and diet are ...
Edler, L +9 more
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Quantitative Model Formulation
1996One way to understand a complex, mathematical model is to stare at it until it is obvious. This advice can be less than helpful if you do not know what you are looking for. The approach we follow here exploits the fact that biological models are composed of a relatively few, recurring algebraic constructs.
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Measurement Models for Quantitative Ultrasonics
Journal of Sound and Vibration, 1992This lecture emphasizes the importance of measurement models. Two examples are discussed both from a theoretical and an experimental point of view. These are backscattering of body waves from a surface-breaking crack and reflection and transmission of surface waves by a surface-breaking crack.
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Quantitative Geological Models
2016The 3D geological models are the basis for delineating the mineralised domains which underline the whole process of the mineral resource estimation and also serves as a key parameter for selection of the mining methods and eventual conversion of the resources to reserves.
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A Primer on Quantitative Modeling
2015Caenorhabditis elegans is particularly suitable for obtaining quantitative data about behavior, neuronal activity, gene expression, ecological interactions, quantitative traits, and much more. To exploit the full potential of these data one seeks to interpret them within quantitative models. Using two examples from the C.
Iulia, Neagu, Erel, Levine
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2012
Formal verification aims to improve the quality of hardware and software by detecting errors before they do harm. At the basis of formal verification lies the logical notion of correctness, which purports to capture whether or not a circuit or program behaves as desired.
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Formal verification aims to improve the quality of hardware and software by detecting errors before they do harm. At the basis of formal verification lies the logical notion of correctness, which purports to capture whether or not a circuit or program behaves as desired.
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly