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Related Concept Videos

Uncertainty: Overview00:59

Uncertainty: Overview

In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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The concept of stress concentration is crucial for understanding how materials respond under bending stresses, particularly when there are irregularities or discontinuities in the material's geometry. Normally, stress in a symmetric member subjected to pure bending is assumed to be uniformly distributed across the entire cross-section. However, this assumption does not hold when there are variations in the cross-sectional geometry or the presence of notches and holes.
The stress concentration...
Stress Concentrations01:24

Stress Concentrations

Stress concentration is when stress intensifies near discontinuities such as holes or abrupt cross-sectional changes in a structural member. This localized stress can often surpass the average stress within the member. The stress distribution in flat bars, either with a circular hole or varying widths connected by fillets, can be determined experimentally using a photoelastic method. The results are based on ratios of geometric parameters like the ratio of the hole's radius to the smaller width...
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Drug regulation encompasses the management of drug usage by evaluating its safety and efficacy through assessments conducted by regulatory authorities. Regrettably, the history of drug regulation is marred by several catastrophic events. One such incident is the Elixir Sulfanilamide tragedy, in which the toxic compound diethyl glycol was included in a sweet-tasting medication, leading to numerous fatalities. This event prompted the enactment of the Food, Drug, and Cosmetic Act in 1938. Under...
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Regulating under uncertainty: newsboy for exposure limits.

Roger M Cooke1, Margaret Macdonell

  • 1Department of Mathematics, Resources for the Future, Delft University of Technology. cooke@rff.org

Risk Analysis : an Official Publication of the Society for Risk Analysis
|July 23, 2008
PubMed
Summary

This study applies the newsboy problem to set health protection limits amid dose-response uncertainty. A coupled approach uses expert judgment and probabilistic inversion for radiation and ammonia exposure limits.

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Area of Science:

  • Environmental Health
  • Risk Assessment
  • Toxicology

Background:

  • Setting health protection limits is challenging due to uncertainties in dose-response relationships across various hazards and exposure levels.
  • Existing methods often struggle to adequately address the complexities of quantifying these uncertainties.

Purpose of the Study:

  • To develop a novel framework for establishing health protection action levels by addressing uncertainty in dose-response relationships.
  • To apply principles from the classic newsboy problem to environmental health risk assessment.

Main Methods:

  • Utilized the mathematical framework of the newsboy problem to manage uncertainty.
  • Applied structured expert judgment with performance weights for uncertainty quantification.
  • Employed probabilistic inversion techniques to analyze dose-response data.
  • Developed a coupled approach integrating scientific uncertainty quantification with stakeholder-defined loss rates.

Main Results:

  • Demonstrated the applicability of the newsboy problem principles to health protection limit setting.
  • Successfully applied the coupled approach to stylized examples of high dose/high dose rate radiation and ammonia exposure.
  • Quantified dose-response uncertainties using expert judgment and probabilistic inversion.

Conclusions:

  • The proposed coupled approach effectively addresses uncertainties in dose-response relationships for setting health protection limits.
  • This method provides a robust framework for managing risks associated with environmental hazards like radiation and ammonia.
  • Integrating scientific and stakeholder perspectives enhances the reliability of health action levels.