RAON experimental facilities for nuclear science

Kwon, Y. K.; Kim, Y. K.; Komatsubara, T.; Moon, J. Y.; Park, J. S.; Shin, T.; Kim, Y. J.

doi:10.1063/1.4874066

Cited by 6 publications

(2 citation statements)

References 4 publications

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“…Los temas de las noticias que se consumen y se difunden serán distintos en las diferentes redes sociales. Así, las noticias duras tenderán a compartirse más en redes cerradas, en las que se genera cierta autocensura para evitar las polémicas (Marwick;Boyd, 2011;Kwon;Moon;Stefanone, 2015).…”

Section: Objetivosunclassified

Hábitos del usuario y tipo de red social como predictores de consumo y difusión de noticias

Díaz-Campo

Segado‐Boj

Gómez

2021

EPI

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User behavior patterns when consuming and sharing information on social networks are analyzed, paying special attention to the effects of the type of presentation and the type of social network. As is common when analyzing activity on social networks, we used the experience sampling method, in which a group of volunteer participants are asked, at different times, a set of questions about their recent activity or experience. The sample consisted of 279 subjects. The results show that news requiring a greater effort is usually shared through closed networks, while in open networks there is a tendency to share more superficial information. No significant differences are found between the degree of reading of the news and the type of social network where it is shared. Moreover, the level of consumption does not influence the degree of reading of the shared material. The level of enjoyment of the news is found to influence its degree of reading. The differences between networks highlight that, on Facebook, the frequency of use influences the dynamics of consumption and sharing, with shared news being more emotional and useful. In contrast, in the case of Twitter, there is a greater preference for so-called soft information. Resumen Se analizan los patrones de comportamiento que siguen los usuarios a la hora de consumir y difundir información en redes sociales, prestando especial atención a cómo influye el tipo de exposición y el tipo de red social. Se utilizó el método de muestreo de experiencias, de uso habitual para analizar la actividad en las redes sociales, que consiste en que un grupo de participantes voluntarios debe contestar, en distintos momentos temporales, a un conjunto de preguntas sobre alguna actividad que hayan realizado o alguna experiencia que hayan tenido. La muestra estuvo formada por 279 sujetos. Los resultados muestran que las noticias que requieren un mayor esfuerzo suelen compartirse en redes cerradas, mientras que en las redes abiertas se tiende a compartir información más superficial. No existen diferencias significativas entre el grado de lectura de la noticia y el tipo de red social donde se comparte; el nivel de consumo no influye en el grado de lectura de las que se comparten. Se ha comprobado que el nivel de disfrute de las noticias influye en su grado de lectura. Respecto a las diferencias entre redes, destaca el hecho de que en Facebook la frecuencia de uso influye en las dinámicas de consumo y difusión, y cómo las noticias compartidas tienen más afecto y utilidad. Por el contrario, en el caso de Twitter existe una mayor preferencia hacia las informaciones consideradas blandas.

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Section: Objetivosunclassified

Hábitos del usuario y tipo de red social como predictores de consumo y difusión de noticias

Díaz-Campo

Segado‐Boj

Gómez

2021

EPI

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“…The RAON facility in Korea is currently under construction. It will contain a variety of instruments, including KOBRA (KOrea Broad acceptance Recoil spectrometer and Apparatus), LAMPS (Large Acceptance Multi-Purpose Spectrometer), and ZDS (Zero Degree Spectrometer) [334]. Each of these devices can be used for a variety of experiments with ranges of acceptance, resolution, and energy.…”

Section: Raonmentioning

confidence: 99%

Current Status of r-Process Nucleosynthesis

Kajino,

Aoki,

Balantekin

et al. 2019

Preprint

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The rapid neutron capture process (r-process) is believed to be responsible for about half of the production of the elements heavier than iron and contributes to abundances of some lighter nuclides as well. A universal pattern of r-process element abundances is observed in some metal-poor stars of the Galactic halo. This suggests that a well-regulated combination of astrophysical conditions and nuclear physics conspires to produce such a universal abundance pattern. The search for the astrophysical site for r-process nucleosynthesis has stimulated interdisciplinary research for more than six decades. There is currently much enthusiasm surrounding evidence for r-process nucleosynthesis in binary neutron star mergers in the multiwavelength follow-up observations of kilonova/gravitational-wave GRB170807A/GW170817. Nevertheless, there remain questions as to the contribution over the history of the Galaxy to the current solar-system r-process abundances from other sites such as neutrino-driven winds or magnetohydrodynamical ejection of material from core-collapse supernovae. In this review we highlight some current issues surrounding the nuclear physics input, astronomical observations, galactic chemical evolution, and theoretical simulations of r process astrophysical environments with goal of outlining a path toward resolving the remaining mysteries of the r-process.

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