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Search: WFRF:(Dressler C.)

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1.
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2.
  • Paradela, C., et al. (author)
  • High-accuracy determination of the 238U/235U fission cross section ratio up to ~1 GeV at n_TOF at CERN
  • 2015
  • In: Physical Review C. Nuclear Physics. - 0556-2813 .- 1089-490X. ; 91, s. 024602-
  • Journal article (peer-reviewed)abstract
    • The U238 to U235 fission cross section ratio has been determined at n_TOF up to ≈1 GeV, with two different detection systems, in different geometrical configurations. A total of four datasets has been collected and compared. They are all consistent to each other within the relative systematic uncertainty of 3–4%. The data collected at n_TOF have been suitably combined to yield a unique fission cross section ratio as a function of neutron energy. The result confirms current evaluations up to 200 MeV. Good agreement is also observed with theoretical calculations based on the INCL++/Gemini++ combination up to the highest measured energy. The n_TOF results may help solve a long-standing discrepancy between the two most important experimental datasets available so far above 20 MeV, while extending the neutron energy range for the first time up to ≈1 GeV.
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3.
  • Antoniou, A. C., et al. (author)
  • Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers : Implications for risk prediction
  • 2010
  • In: Cancer Research. - : American Association for Cancer Research. - 0008-5472 .- 1538-7445. ; 70:23, s. 9742-9754
  • Journal article (peer-reviewed)abstract
    • The known breast cancer susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1, LSP1, and 2q35 confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of 3 additional single nucleotide polymorphisms (SNPs), rs4973768 in SLC4A7/NEK10, rs6504950 in STXBP4/COX11, and rs10941679 at 5p12, and reanalyzed the previous associations using additional carriers in a sample of 12,525 BRCA1 and 7,409 BRCA2 carriers. Additionally, we investigated potential interactions between SNPs and assessed the implications for risk prediction. The minor alleles of rs4973768 and rs10941679 were associated with increased breast cancer risk for BRCA2 carriers (per-allele HR = 1.10, 95% CI: 1.03-1.18, P = 0.006 and HR = 1.09, 95% CI: 1.01-1.19, P = 0.03, respectively). Neither SNP was associated with breast cancer risk for BRCA1 carriers, and rs6504950 was not associated with breast cancer for either BRCA1 or BRCA2 carriers. Of the 9 polymorphisms investigated, 7 were associated with breast cancer for BRCA2 carriers (FGFR2, TOX3, MAP3K1, LSP1, 2q35, SLC4A7, 5p12, P = 7 × 10-11 - 0.03), but only TOX3 and 2q35 were associated with the risk for BRCA1 carriers (P = 0.0049, 0.03, respectively). All risk-associated polymorphisms appear to interact multiplicatively on breast cancer risk for mutation carriers. Based on the joint genotype distribution of the 7 risk-associated SNPs in BRCA2 mutation carriers, the 5% of BRCA2 carriers at highest risk (i.e., between 95th and 100th percentiles) were predicted to have a probability between 80% and 96% of developing breast cancer by age 80, compared with 42% to 50% for the 5% of carriers at lowest risk. Our findings indicated that these risk differences might be sufficient to influence the clinical management of mutation carriers.
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4.
  • Diakaki, M., et al. (author)
  • Towards the high-accuracy determination of the 238U fission cross section at the threshold region at CERN -€“ n_TOF
  • 2016
  • In: EPJ Web of Conferences. - : EDP Sciences. - 2100-014X.
  • Conference paper (peer-reviewed)abstract
    • The U-238 fission cross section is an international standard beyond 2 MeV where the fission plateau starts. However, due to its importance in fission reactors, this cross-section should be very accurately known also in the threshold region below 2 MeV. The U-238 fission cross section has been measured relative to the U-235 fission cross section at CERN - n_TOF with different detection systems. These datasets have been collected and suitably combined to increase the counting statistics in the threshold region from about 300 keV up to 3 MeV. The results are compared with other experimental data, evaluated libraries, and the IAEA standards.
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6.
  • Leal-Cidoncha, E., et al. (author)
  • High accuracy 234U(n,f) cross section in the resonance energy region
  • 2017
  • In: ND 2016. - Les Ulis : EDP Sciences. - 9782759890200
  • Conference paper (peer-reviewed)abstract
    • New results are presented of the 234U neutron-induced fission cross section, obtained with high accuracy in the resonance region by means of two methods using the 235U(n,f) as reference. The recent evaluation of the 235U(n,f) obtained with SAMMY by L. C. Leal et al. (these Proceedings), based on previous n_TOF data [1], has been used to calculate the 234U(n,f) cross section through the 234U/235U ratio, being here compared with the results obtained by using the n_TOF neutron flux.
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7.
  • Kattge, Jens, et al. (author)
  • TRY plant trait database - enhanced coverage and open access
  • 2020
  • In: Global Change Biology. - : Wiley-Blackwell. - 1354-1013 .- 1365-2486. ; 26:1, s. 119-188
  • Journal article (peer-reviewed)abstract
    • Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.
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8.
  • Leal-Cidoncha, E., et al. (author)
  • Fission Fragment Angular Distribution measurements of 235U and 238U at CERN n_TOF facility
  • 2016
  • In: EPJ Web of Conferences. - : EDP Sciences. - 2100-014X.
  • Conference paper (peer-reviewed)abstract
    • Neutron-induced fission cross sections of U-238 and U-235 are used as standards in the fast neutron region up to 200 MeV. A high accuracy of the standards is relevant to experimentally determine other neutron reaction cross sections. Therefore, the detection efficiency should be corrected by using the angular distribution of the fission fragments (FFAD), which are barely known above 20 MeV. In addition, the angular distribution of the fragments produced in the fission of highly excited and deformed nuclei is an important observable to investigate the nuclear fission process. In order to measure the FFAD of neutron-induced reactions, a fission detection setup based on parallel-plate avalanche counters (PPACs) has been developed and successfully used at the CERN-n_TOF facility. In this work, we present the preliminary results on the analysis of new U-235(n,f) and U-238(n,f) data in the extended energy range up to 200 MeV compared to the existing experimental data.
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9.
  • Praena, J., et al. (author)
  • Preparation and characterization of 33S samples for 33S(n,alpha)30Si cross-section measurements at the n_TOF facility at CERN
  • 2018
  • In: Nuclear Instruments and Methods in Physics Research Section A. - : Elsevier BV. - 0168-9002 .- 1872-9576. ; 890, s. 142-147
  • Journal article (peer-reviewed)abstract
    • Thin 33S samples for the study of the 33S(n,alpha)30Si cross-section at the n_TOF facility at CERN were made by thermal evaporation of 33S powder onto a dedicated substrate made of kapton covered with thin layers of copper, chromium and titanium. This method has provided for the first time bare sulfur samples a few centimeters in diameter. The samples have shown an excellent adherence with no mass loss after few years and no sublimation in vacuum at room temperature. The determination of the mass thickness of 33S has been performed by means of Rutherford backscattering spectrometry. The samples have been successfully tested under neutron irradiation.
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  • Result 1-10 of 48
Type of publication
journal article (32)
conference paper (16)
Type of content
peer-reviewed (48)
Author/Editor
Cerutti, F. (24)
Mastromarco, M. (24)
Andrzejewski, J (24)
Cano-Ott, D (24)
Chiaveri, E (24)
Colonna, N (24)
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Domingo-Pardo, C (24)
Gunsing, F (24)
Jericha, E (24)
Mengoni, A (24)
Milazzo, P M (24)
Reifarth, R (24)
Rubbia, C (24)
Tagliente, G (24)
Vaz, P (24)
Vlachoudis, V (24)
Calviani, M. (24)
Mendoza, E. (24)
Berthoumieux, E. (24)
Bosnar, D. (24)
Diakaki, M. (24)
Dressler, R. (24)
Jenkins, D. G. (24)
Kokkoris, M. (24)
Massimi, C. (24)
Perkowski, J. (24)
Praena, J. (24)
Schillebeeckx, P. (24)
Schumann, D. (24)
Valenta, S. (24)
Vlastou, R. (24)
Wright, T. (23)
Kadi, Y (23)
Tarrío, Diego (23)
Guerrero, C. (23)
Variale, V. (23)
Duran, I (22)
Mastinu, P (22)
Quesada, J M (22)
Martinez, T (21)
Calvino, F (21)
Cortes, G (21)
Gonzalez-Romero, E (21)
Cortes-Giraldo, M. A ... (21)
Musumarra, A. (20)
Cosentino, L. (20)
Finocchiaro, P. (20)
Heyse, J. (20)
Patronis, N. (20)
Porras, I. (20)
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University
Uppsala University (29)
Karolinska Institutet (14)
Lund University (9)
University of Gothenburg (5)
Umeå University (5)
Stockholm University (4)
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Linköping University (2)
Royal Institute of Technology (1)
Jönköping University (1)
Chalmers University of Technology (1)
Karlstad University (1)
Swedish University of Agricultural Sciences (1)
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Language
English (48)
Research subject (UKÄ/SCB)
Natural sciences (30)
Medical and Health Sciences (9)
Engineering and Technology (2)
Humanities (1)

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