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Andresz, S.*; Papp, C.*; Clarijs, T.*; Sakoda, Akihiro; S
ez-Mu
oz, M.*; Qiu, R.*
Journal of Radiological Protection, 42(3), p.031516_1 - 031516_10, 2022/09
Times Cited Count：0 Percentile：0.01(Environmental Sciences)While online working seems to become more common since the start of the Covid-19 pandemic, social media has the potential to offer greater interactivity and networking capacities. It seems therefore relevant for the IRPA Young Generation Network to investigate the usage of social media by the young generation in radiation protection trough a survey disseminated online. It was also the opportunity to investigate the early feedbacks about on-line learning. The survey collected 89 answers from 15 countries. The most commonly used social media platforms are first Facebook, then LinkedIn and Twitter, but other social media where reported too. The respondents have a multi-objectives approach on social media, using it for different purposes (chiefly for sharing of news and RP related information/education material) and different audiences (ex. public, professional audience), and are not frenetic users based on the frequencies of publication and consultation and the challenges they see within social media. The survey collected the view of the young generation about their practical experience about learning in virtual setting and its advantages and disadvantages vs. in-person. Most participants expressed mixed-feeling about on-line learning. These results show that the young generation can play a role in supporting the extra and intra-communication of the RP community.
Gatera, A.*; Belmans, J.*; Boussa, S.*; Davin, F.*; De Cock, W.*; De Florio, V.*; Doucet, F.*; Parez, L.*; Pompon, F.*; Ponton, A.*; et al.
Proceedings of 64th ICFA Advanced Beam Dynamics Workshop on High Intensity and High Brightness Hadron Beams (HB2021), p.186 - 190, 2022/04
Pb(p,x)
Hg and 
Bi(p,x)Hg excitation functions in the energy range 0.04 - 2.6 GeVTitarenko, Yu. E.*; Batyaev, V. F.*; Pavlov, K. V.*; Titarenko, A. Yu.*; Malinovskiy, S. V.*; Rogov, V. I.*; Zhivun, V. M.*; Kulevoy, T. V.*; Chauzova, M. V.*; Khalikov, R. S.*; et al.
Nuclear Instruments and Methods in Physics Research A, 1026, p.166151_1 - 166151_9, 2022/03
Times Cited Count：0 Percentile：0.02(Instruments & Instrumentation)The paper presents the Hg production cross-sections measured by the direct gamma-spectrometry technique in the samples of lead enriched with isotopes 206, 207 and 208, as well as in the samples of natural lead and bismuth, irradiated by protons of 11 energies in the range from 0.04 to 2.6 GeV. The obtained experimental results are compared with the previous measurements, with the TENDL-2019 data-library evaluations and the simulated data by means of the high-energy transport codes MCNP6.1 (CEM03.03), PHITS (INCL4.6/GEM), Geant4 (INCL++/ABLA) and the nuclear reaction code TALYS.
Gatera, A.*; Belmans, J.*; Davin, F.*; De Cock, W.*; Doucet, F.*; Parez, L.*; Pompon, F.*; Ponton, A.*; Vandeplassche, D.*; Bouly, F.*; et al.
Proceedings of 12th International Particle Accelerator Conference (IPAC 21) (Internet), p.675 - 678, 2021/08
Mitsui, Seiichiro
no journal, ,
In order to develop robust performance assessment models on waste glass corrosion, JAEA has been conducting experimental studies and has been preparing an information basis regarding the near-field processes under disposal conditions. To determine silicon migration parameters such as distribution coefficient of Si in buffer material, we conducted percolation type migration experiments and batch sorption experiments using Si-32 as radioactive tracer for Kunigel-V1 as a joint project with SCKCEN. The values of the apparent diffusion coefficient and the distribution coefficient of dissolved silica in Kunigel-V1 are estimated to be 3.4 
10
/s and 0.5 
/kg on average, respectively. The preparation of the information basis has been conducted as a part of joint project with NUMO. Based on the information basis, we developed a preliminary model of the glass corrosion considering the near-field processes and conducted sensitivity analyses for selected processes.
