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  • Search: person:"Serafimova, Rositsa"
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Year of publication
Subject
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Forecasting model 1 Pesticide 1 Pestizid 1 Pollution 1 Prognoseverfahren 1 Umweltbelastung 1
Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Language
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English 3
Author
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Lo Piparo, Elena 3 Serafimova, Rositsa 3 Worth, Andrew 3 Lapenna, Silvia 2 Mostrag-Szlichtyng, Aleksandra 2 Fuart-Gatnik, Mojca 1 Lapenna, Sylvia 1 Mostrag-Szlinchtyng, Aleksandra 1
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Institution
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European Commission / Joint Research Centre 3
Source
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ECONIS (ZBW) 3
Showing 1 - 3 of 3
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A framework for assessing in silico toxicity predictions : case studies with selected pesticides
Worth, Andrew (contributor); Lapenna, Sylvia (contributor);  … - European Commission / Joint Research Centre - 2011
In the regulatory assessment of chemicals, the use of in silico prediction methods such as (quantitative) structure-activity relationship models ([Q]SARs), is increasingly required or encouraged, in order to increase the efficiency and effectiveness of the risk assessment process, and to...
Persistent link: https://www.econbiz.de/10015310356
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Cover Image
The use of computational methods in the toxicological assessment of chemicals in food : current status and future prospects
Worth, Andrew (contributor); Fuart-Gatnik, Mojca (contributor) - European Commission / Joint Research Centre - 2011
A wide range of chemicals are intentionally added to, or unintentionally found in, food products, often in very small amounts. Depending on the situation, the experimental data needed to complete a dietary risk assessment, which is the scientific basis for protecting human health, may not be...
Persistent link: https://www.econbiz.de/10015310305
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The applicability of software tools for genotoxicity and carcinogenicity prediction : case studies relevant to the assement of pesticides
Worth, Andrew (contributor); Lapenna, Silvia (contributor);  … - European Commission / Joint Research Centre - 2010
This report presents research results obtained in the framework of a project on the Applicability of Quantitative Structure-Activity Relationship (QSAR) analysis in the evaluation of the toxicological relevance of metabolites and degradates of pesticide active substances. During this project,...
Persistent link: https://www.econbiz.de/10015310804
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