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Voigt, K. ; Scherb, H. ; Brüggemann, R.* ; Schramm, K.-W.

Discrete mathematical data analysis method for environmental risk management.

Vortrag: ITEE 2011, 06-08 July 2011, Poznan, Poland. (2010)
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It has been evident for decades that environmental chemicals pose an enormous risk to the environment as well as to humans. However, this important topic is still underestimated in every part of society. Over the last 20 years, anthropogenic chemicals research, often closely connected with endocrine disruption research, has shown how chemicals in our environment can profoundly affect development, growth, maturation, and reproduction by mimicking hormones or interacting with hormone receptors. The effects of environmental contaminants on health are a major concern because exposure is associated with a number of diseases, including cancer, diabetes, congenital malformations and infertility. It is clear that there is increasing pressure to intensify the research and to more efficiently evaluate the data on persistent and bioaccumulative chemicals in the environment as well as in human bodies. Our research focuses on data-analyses concerning environmental chemicals in order to gain information out of the data and draw conclusions concerning the prevention of those chemicals. The data-analysis method presented here, is based on the theory of partially ordered sets. The theory of partial order is a discipline of Discrete Mathematics and one may consider partial order as an example of mathematics without numerical arithmetic. The graphical representation of partial orders is laid down in so-called Hasse diagrams. The software package applied is named PyHasse, written by the third author.
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Publikationstyp Sonstiges: Vortrag
Konferenztitel ITEE 2011
Konferzenzdatum 06-08 July 2011
Konferenzort Poznan, Poland
Institut(e) Institute of Ecological Chemistry (IOEC)
Institute of Biomathematics and Biometry (IBB)