29 results match your criteria: "Joint Research Center JRC[Affiliation]"
N Biotechnol
June 2013
European Commission, Institute of Prospective Technological Studies (IPTS), Joint Research Center (JRC), Ed. Expo, c/Inca Garcilaso 3, E-41092 Sevilla, Spain.
This manuscript provides insights into ongoing debates on the regulatory issues surrounding groups of biotechnology-driven 'New Plant Breeding Techniques' (NPBTs). It presents the outcomes of preliminary discussions and in some cases the initial decisions taken by regulators in the following countries: Argentina, Australia, Canada, EU, Japan, South Africa and USA. In the light of these discussions we suggest in this manuscript a structured approach to make the evaluation more consistent and efficient.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
February 2010
Institute for Environment and Sustainability (IES), European Commission-Joint Research Center (JRC), Via Fermi 2749, 21027, Ispra, Italy.
Background, Aim, And Scope: The aim of the study was to identify the impact of polychlorinated dibenzo-p-dioxin and furan (PCDD/F) emission sources on ambient air concentrations in the Malopolska Region, southern Poland. Three sites were selected: the city center of Krakow (Aleje), an industrial area (Nova Huta), and a rural site (Zakopane). In order to investigate the annual variations of PCDD/F sources, summer and winter time samples were taken.
View Article and Find Full Text PDFSensors (Basel)
September 2012
European Commission (EC), Joint Research Center (JRC), Institute for Health and Consumer Protection (IHCP), Physical and Chemical Exposure Unit (PCE), Ispra (Va), I-21020, Italy; E-Mails: (S.K.); (A.G.).
The objective of the current study was the development of a reliable modeling platform to calculate in real time the personal exposure and the associated health risk for filling station employees evaluating current environmental parameters (traffic, meteorological and amount of fuel traded) determined by the appropriate sensor network. A set of Artificial Neural Networks (ANNs) was developed to predict benzene exposure pattern for the filling station employees. Furthermore, a Physiology Based Pharmaco-Kinetic (PBPK) risk assessment model was developed in order to calculate the lifetime probability distribution of leukemia to the employees, fed by data obtained by the ANN model.
View Article and Find Full Text PDFScience
August 2003
European Commission's Joint Research Center (JRC) Institute for Transuranium Elements, 76125 Karlsruhe, Germany.