farction (as well as costs and health-related quality of life) through regression .... This ap- proach has a series of advantages, which are summarized by Stew-.
A worst-case execution time (WCET) analysis derives an estimate to the worst possible execution time of a computer program. For the estimate to be applicable ...
Jun 26, 2015 - Goecks, Jeremy, Anton Nekrutenko, James Taylor, and The Galaxy Team. âGalaxy: A Comprehensive Approach for Supporting Accessible, ...
daily, photosynthetically active, solar radiation and an assumed cosine function. The only option currently active in SW
for CDN is specified, the model will set CDN = 1.4. Required. Fig 4-8: Impact of CDN value on amount of nitrogen lost to denitrification assuming initial nitrate ...
The example dataset consisits of 10 colon cancer patients, of which 5 had relapse ... Before you input your own clinical data into the CINdex package, ensure to ...
May 2, 2008 - accounted for by core mass - luminosity relations of the usual type. Furthermore, the ... Send offprint requests to: M.A.T. Groenewegen. E-mail:.
Mar 6, 2018 - Article. Correcting the Input Data for Calculating the. Asymmetry of Hydrogenic Spectral Lines in Plasmas. Paul Sanders * and Eugene Oks *.
Sep 16, 2010 - Tiago L. Alves - Software Improvement Group / University of Minho. âDeriving Metric Thresholds ... Base
Business process architectures were established as convenient way to model ..... The data BPA process p2 contains several events, start event β(b1), intermediate ... OMG: Business Process Model and Notation (BPMN), Version 2.0 (2011).
the quality of software products, and thus form the basis of acceptance criteria or ..... Financial transaction processing and accounting. 12. Geographic or spatial ...
and anomalous beam propagation (Kalin and Hantush 2006). Further, radar data were subject to. 76 underestimation during extremely high precipitation events ...
Sep 16, 2010 - âDeriving Metric Thresholds from Benchmark Dataâ, ICSM'10. Software ... not lack of tools ... Based o
Jul 13, 2011 - School of Public Health, University of Michigan,. Ann Arbor, MI .... Life Cycle Board, nor does citing of trade names or commercial processes ...
A documentation of the human exposure and toxicity models of USEtox⢠is provided, and key factors driving the human health characterisation factor are ...
Jun 8, 2011 - The first three terms describe the transport and exposure of a substance: the fraction transferred from emission compartment i to freshwater.
Email: [email protected]. AbstractâA wide variety of software metrics have been pro- posed and a broad range of tools is available to measure them. However, the ...
software control. Examples include the Cell BE architecture from Sony/Toshiba/IBM [1], ..... LA-UR-08-2819. http://www.lanl.gov/orgs/hpc/roadrunner (2008). 11.
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Deriving physico-chemical input data for the USEtox
References. Saouter E, Biganzioli F, Ceriani L, Sala S, Veersteeg D, Using. REACH and EFSA database to derive input data for Environmental. Footprint ...
Deriving physico-chemical input data for the
® USEtox
model from the
REACH database for thousands of chemicals using Rstudio program. Fabrizio Biganzoli1, Andrea Gissi2, Panagiotis Karamertzanis2, Susana Proenca1, Jeroen Provoost2, Erwan Saouter1. 1
European Commission, Joint Research Centre (JRC), 2 European Chemical Agency
Context The Environmental Footprint (EF) forms a core part of the Commission Recommendation “on the use of common methods to measure and communicate the life cycle environmental performance of products and organizations” (2013/179/EU). The potential impact of chemicals emitted during the life cycle of a product is assessed via the USEtox® multimedia fate model. This model requires for each single chemical dozens of physico-chemical parameters as well as data on ecotoxicity to freshwater aquatic life and on toxicity to human for cancer and no-cancer effects. Those data are required for thousands of chemicals using the most up-to-date information. This poster focuses only on phys-chem data (see TH283 and TU006 for ecotox data and TH282 for human tox data). New phys-chem data were compared with the ones in USEtox® 2.0 input data.
Objective Update the USEtox ® substance database for fate modelling with the most recent experimental physico chemical properties, as registered in ECHA inventories (IUCLID 5.5). The Rstudio software was used to manage > 150’000 data point, and to ensure consistancy, reproducibiliy and transparency.
Difference JRC USEtox®: ● 10000 (0.5%).
Using R studio program
Using REACH IUCLID 5.0 DB
• To extract high quality data (Klimisch 1 and 2, Key, supporting and weight of evidence studies, etc..) • To convert all units into one, to select data according to methodologies • To calculate means and standard deviation.
The REACH database from the European Chemical Agency (ECHA) and available online (https://echa.europa.eu/) is an important source of physico-chemical data to be used for USEtox®. .
Advantages of using Rstudio: R code workflow easy to modify / update. Sharable workflow fully transparent procedure. Ability to deal with huge amount of data. Open source: huge amount of data mining, statistical and graphical codes available online.
Difference JRC USEtox®: ● 10000 (0.7%)
Conclusions • Physico-chemical properties data derived for 8498 substances (compared to ~3500 in USEtox®) • Higher number of endpoints based on experimental values • When possible, standard deviation have been calculated allowing calculation of uncertainty of model outcomes. • Selection process agreed with stakeholders participating at Environmental Footprint
Advantages of using REACH database: Part of a EU regulation EC No 1907/2006 (all chemicals on the EU market must be registered) All information must assessed for its relevance, reliability and adequacy. Data used for chemical safety assessment (via multimedia fate modeling) and hazard classification (GHS – CLP)
Number of values derived from REACH database (data gap filling excluded) for each quality level.
PhysChem Property Kow Koc Vap pressure Solubility Henry Law Kdeg water Kd sed Kd susp Kd soil
Quality Level HIGH
INTERMED.
LOW
KEY VALUE*
572
658
7
760
308
1171
10
461
412
665
6
559
218
752
27
725
7
652
1
165
1740
1146
-
327
3
120
1
16
-
101
1
13
24
142
2
17
* From ECHA dissemination website form the ‘key value for chemical safety report’ IUCLID section