scholarly journals Evaluation of Cancer Tests of 1,3-Butadiene Using Internal Dose, Genotoxic Potency, and a Multiplicative Risk Model

2008 ◽  
Vol 68 (19) ◽  
pp. 8014-8021 ◽  
Author(s):  
Charlotta Fred ◽  
Margareta Törnqvist ◽  
Fredrik Granath
Keyword(s):  
Risk Model ◽  
Internal Dose ◽  
Multiplicative Risk ◽  
Genotoxic Potency

scholarly journals Internal Doses of Glycidol in Children and Estimation of Associated Cancer Risk

Toxics ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 7 ◽  
Author(s):  
Jenny Aasa ◽  
Efstathios Vryonidis ◽  
Lilianne Abramsson-Zetterberg ◽  
Margareta Törnqvist
Keyword(s):  
Cancer Risk ◽  
Risk Model ◽  
Edible Oils ◽  
Reference Group ◽  
Fatty Acid Esters ◽  
Genotoxic Carcinogen ◽  
Lifetime Cancer Risk ◽  
Multiplicative Risk ◽  
Acid Esters

The general population is exposed to the genotoxic carcinogen glycidol via food containing refined edible oils where glycidol is present in the form of fatty acid esters. In this study, internal (in vivo) doses of glycidol were determined in a cohort of 50 children and in a reference group of 12 adults (non-smokers and smokers). The lifetime in vivo doses and intakes of glycidol were calculated from the levels of the hemoglobin (Hb) adduct N-(2,3-dihydroxypropyl)valine in blood samples from the subjects, demonstrating a fivefold variation between the children. The estimated mean intake (1.4 μg/kg/day) was about two times higher, compared to the estimated intake for children by the European Food Safety Authority. The data from adults indicate that the non-smoking and smoking subjects are exposed to about the same or higher levels compared to the children, respectively. The estimated lifetime cancer risk (200/105) was calculated by a multiplicative risk model from the lifetime in vivo doses of glycidol in the children, and exceeds what is considered to be an acceptable cancer risk. The results emphasize the importance to further clarify exposure to glycidol and other possible precursors that could give a contribution to the observed adduct levels.

244 Derivation and validation of a clinical risk-model in heart failure based on 6-min walk test performance and NT-proBNP status

2007 ◽  
Vol 6 (1) ◽  
pp. 46-46
Author(s):  
L FRANKENSTEIN ◽  
L INGLE ◽  
A REMPPIS ◽  
D SCHELLBERG ◽  
C SIGG ◽  
...  
Keyword(s):  
Heart Failure ◽  
Test Performance ◽  
Risk Model ◽  
Walk Test ◽  
Clinical Risk

VALIDATION OF A KNOWLEDGE-BASED RISK MODEL FOR BIOLOGICAL FOAMING IN ANAEROBIC DIGESTION SIMULATION

2010 ◽  
Vol 9 (2) ◽  
pp. 223-229
Author(s):  
Ignasi Rodriguez-Roda ◽  
Jordi Dalmau ◽  
Joaquim Comas ◽  
Eric Latrille ◽  
Jean-Philippe Steyer
Keyword(s):  
Anaerobic Digestion ◽  
Risk Model ◽  
Knowledge Based

Risk Management for Cultural Organizations.The Example of Agricultural Museums in the Czech Republic

2019 ◽  
Vol 3 (2) ◽  
pp. 111-122
Author(s):  
Michal Plaček ◽  
Milan Půček ◽  
František Ochrana ◽  
Milan Křápek ◽  
Ondřej H. Matyáš
Keyword(s):  
Risk Management ◽  
Czech Republic ◽  
Risk Model ◽  
Technical Support ◽  
High Quality ◽  
The Czech Republic ◽  
Managerial Practice ◽  
The Future

This paper deals with the analysis of risks which threaten the future sustainability and operations of agricultural museums in the Czech Republic. In the section on methodology, an applicable risk model has been proposed regarding the condition of museums in the Czech Republic. Using this model, the directors of agricultural museums can assess the most significant risks which may jeopardize the sustainability of museum operations over a three-year period. The greatest risks, according to museum directors, are a lack money for investment, the inability to retain high-quality staff, and issues with technical support for exhibitions. Assessing the importance of risk is positively associated with previous experiences of a particular type of risk, whereas the association of the importance of risk with previous managerial practice is rather inconclusive.

A Partly Parametric Additive Risk Model

1993 ◽  
Author(s):  
Ian W. McKeague ◽  
Peter D. Sasieni
Keyword(s):  
Risk Model ◽  
Additive Risk Model ◽  
Additive Risk
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