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Optimisation of a multiplex PCR assay of nuclear microsatellite markers for population genetics and clone identification in Robinia pseudoacacia L.

- MEYER, J.-P. VÄHÄ, E. VERSPOOR, V. WENNEVIK and J. R. STEVENS (2011): Microsatellite standardization and evaluation of genotyping error in a large multi-partner research programme for conservation of Atlantic salmon (Salmo salar L.). Genetica 139: 353-367. GERBER, S. and F. RODOLPHE (1994): Estimation and test for linkage between markers: a comparison of lod score and X2 test in a linkage study of maritime pine (Pinus pinaster Ait.). TAG Theoretical and Applied Genetics 88: 293-297. GUICHOUX, E., L. LAGACHE, S. WAGNER, P. CHAUMEIL, P

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Positron and nanoindentation study of helium implanted high chromium ODS steels

. Fournier, J. Henry, F. Legendre, T. Leguey, M. Lewandowska, R. Lindau, E. Marquis and A. Munoz and B. Radiguest and Z. Oksiuta, “Review on the EFDA work programme on nanostructured ODS RAF steels”, J. Nucl. Matter. , 417 (2011) 149153. [7] P. Hodorek, J. Dryzek and M. Wrobel, “Positron Annihilation Study of Defects Induced by Various Cutting Methods Stainless Steel Grade 304”, Tribol Lett. , 45 (2012) 341347. [8] J. F. Ziegler, The stopping and range of ions solids , Pergamon, New York, 1985, pp. 321. ISBN 13: 9780080216034. [9] G. Kinchin and R

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Managing Knowledge in Public - Private Partnerships for R&D Centres

”, ULBS Newsletter, Retrieved May 28, 2015, dr. Ioana Bărbulescu, from,. (2015). ELI-NP | Extreme Light Infrastructure - Nuclear Physics. Retrieved 21 August 2015, from Filev, A. (2008). Top-down and Bottom-up Project Management: Leveraging the Advantages of the Two Approaches. Wrike Blog. Retrieved 10 April 2015, from https

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Reprocessability of molybdenum and magnesia based inert matrix fuels

References 1. Pillon, S. (2012). Actinide-bearing fuels and transmutation targets. In R. J. M. Konings (Ed.), Comprehensive nuclear materials (Vol. 3, pp. 109-141). Oxford: Elsevier. 2. Modolo, G., Wilden, A., Geist, A., Magnusson, D., & Malmbeck, R. (2012). A review of the demonstration of innovative solvent extraction processes for the recovery of trivalent minor actinides from PUREX raffinate. Radiochim. Acta, 100, 715-725. DOI: 10.1524/ract.2012.1962. 3. Montel, J. -M. (2011). Minerals and design of new

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Parameters influencing the low-cycle fatigue life of materials in pressure water reactor nuclear power plants / Parametry ovlivòující únavové chování materiálù pro tlakovodní jaderné reaktory v režimu nízkocyklové únavy

References 1. Yao, J.; Munse, W. Low-cycle Fatigue of Metals. Literature Review; Defense Technical Information Center, 1961. 2. Deardorf, K. K. C. J., Fujikawa A.F. A survey of current US nuclear plant fatigue issues. 3rd International Conference on Fatigue of Reactor Componentss. 2004. 3. Materials Reliability Program: Operating Experience Regarding Thermal Fatigue of Piping Connected To PWR Reactor Coolant Systems (MRP-85). 4. Ehrnsten, U.; Ivanchenko, M.; Nevdacha, N.; Yagozinskyy, Y

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Risk assessment in renewable energy production from agriculture biomass in Latvia

Anonīms (2010). Atjaunojamās energijas likums. Ekonomikas ministrija. Available at: Anonymous (2004a). Financial Risk Management Instruments for Renewable Energy Projects. Summary document. United Nations Environment Programme. Oxford, UK: Words and Publications. 52 pp. Anonymous (2004b). Guide to Risk Management. Australian Capital Territory Insurance Authority. Available at: Anonymous

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Investigations on Health Conditions of Chernobyl Nuclear Power Plant Accident Recovery Workers from Latvia in Late Period after Disaster

-cancer diseases following radiation exposure . Report to the General Assembly, with Scientific Annexes. Vol. I, Annex B. United Nations, New York, pp. 327–375. Anonymous (2006b). Health Risks from Exposure to Low Levels of Ionizing Radiation — BEIR VII Phase 2. The National Academies Press, Washington, D.C. 422 pp. (at pp. 313–323). Anonymous (2006c). Health Effects of the Chernobyl Accident and Special Health Care Programmes. Report of the UN Chernobyl Forum, Expert Group “Health”. Bennett, B., Repacholi, M., Carr, Z. (eds.). World Health Organization, Geneva

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Comparative Analysis of Karyotypes from the Strezelecki Ranges Race of the Complex Eucalyptus globulus Labill. ssp. globulus (Myrtaceae) and a Population in Central-Southern Chile

. and F. D. CRUICKSHANK (1937): The Male Meiotic Cycle in the Genus Eucalyptus. Paper & Proc. Roy. Soc. Tasmania: 41-44. MORA, F., C. PALMA-ROJAS and P. J. SEGUEL (2005): Comparación del cariotipo de Eucalyptus globulus y Eucalyptus cladocalyx (Myrtaceae). Agricultura Técnica 65: 20-25. POKE, F. S., D. P. MARTIN, D. A. STEANE, R. VAILLANCOURT, and J. B. REID (2006): The impact of intragenetic recombination on phylogenetic reconstruction at the sectional level in Eucalyptus when using a single copy nuclear gene (cinnoanyl CoA reductase

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Medical physics in Europe following recommendations of the International Atomic Energy Agency

medicine examinations and 5 million radiotherapy courses undertaken annually. Such tremendous development has triggered demands and need for more highly educated and well trained medical physicists. Introduction of formal systems for education and clinical training became crucial and many universities in Europe offer academic programmes in medical physics. However, there is still a lack of accredited clinical training programs in the majority of countries in Europe. Although international and European professional medical physics organizations together with European

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Preoperative status of diabetic and non-diabetic chronic dialyzed patients – therapy implications

Nuclear Cardiology, Heart Rhythm Society, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society for Vascular Medicine and Biology, and Society for Vascular Surgery. J Am Coll Cardiol 50: e159-e241, 2007. 9. Chamberlain D. Preoperative risk evaluation: an old school approach with a few new tools. Accessed on 5 October 2013 at: 10. Arozullah AM, Daley J, Henderson WG, Khuri SF. Multifactorial risk index for predicting

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