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SOME FAMILIES OF INFINITE SUMS DERIVED BY MEANS OF FRACTIONAL CALCULUS
Romero, Susana Salinas De,Srivastava, H.M. The Youngnam Mathematical Society Korea 2001 East Asian mathematical journal Vol.17 No.1
Several families of infinite series were summed recently by means of certain operators of fractional calculus(that is, calculus of derivatives and integrals of any real or complex order). In the present sequel to this recent work, it is shown that much more general classes of infinite sums can be evaluated without using fractional calculus. Some other related results are also considered.
Romero Raquel García,Riera Laia Baleta,Marcos Nuria Sanz,Constanti Vanessa Arias,Maza Victoria Trenchs Sainz de la,Luaces Carles 대한소아내분비학회 2023 Annals of Pediatirc Endocrinology & Metabolism Vol.28 No.3
Purpose: On the 14th of March 2020, the Spanish government decreed a state of alarm due to the coronavirus disease 2019 (COVID-19) pandemic, directly affecting healthcare. This situation led to delayed diagnosis of several serious diseases, and its impact on many diseases such as the onset of type 1 diabetes mellitus (T1DM) remains unknown. The aim of this study is to determine the impact of the COVID-19 pandemic on the onset of T1DM in children. Methods: A descriptive-observational study was performed using data from children younger than 18 years (n=115) admitted with diagnosis of T1DM. We compared the 8 months from May–December 2020 to the same timeframe in 2019. Results: Our data show an increase of newly attended cases of T1DM in 2020, due to referral of Catalan children with onset of diabetes to our centre. Moreover, fewer patients presented with simple hyperglycaemia at the onset of the COVID-19 period. Delay in consulting the hospital, decreased access to the healthcare system, and avoidance of hospitals to minimize exposure to COVID-19 could have contributed to this finding. There were no differences in the number of days of hospitalization (including days in the paediatric intensive care uniy) between the years. Conclusion: The effects of the lockdown during the COVID-19 pandemic not only delayed the diagnosis of diabetes, but also its allowed time for its severity to increase. Future studies should focus on the influence of new variants of COVID-19 on the onset of T1DM during the postvaccination period.
Romero-Barrientos J.,Molina F.,Márquez Damián J.I.,Zambra M.,Aguilera P.,López-Usquiano F.,Parra S. 한국원자력학회 2023 Nuclear Engineering and Technology Vol.55 No.5
In deterministic and Monte Carlo transport codes, b-delayed emission is included using a group structure where all of the precursors are grouped together in 6 groups or families, but given the increase in computational power, nowadays there is no reason to keep this structure. Furthermore, there have been recent efforts to compile and evaluate all the available b-delayed neutron emission data and to measure new and improved data on individual precursors. In order to be able to perform a transient Monte Carlo simulation, data from individual precursors needs to be implemented in a transport code. This work is the first step towards the development of a tool to explore the effect of individual precursors in a fissile system. In concrete, individual precursor data is included by expanding the capabilities of the open source Monte Carlo code OpenMC. In the modified code e named Time Dependent OpenMC or OpenMC(TD)e time dependency related to b-delayed neutron emission was handled by using forced decay of precursors and combing of the particle population. The data for continuous energy neutron cross-sections was taken from JEFF-3.1.1 library. Regarding the data needed to include the individual precursors, cumulative yields were taken from JEFF-3.1.1 and delayed neutron emission probabilities and delayed neutron spectra were taken from ENDF-B/VIII.0. OpenMC(TD) was tested in a monoenergetic system, an energy dependent unmoderated system where the precursors were taken individually or in a group structure, and in a light-water moderated energy dependent system, using 6-groups, 50 and 40 individual precursors. Neutron flux as a function of time was obtained for each of the systems studied. These results show the potential of OpenMC(TD) as a tool to study the impact of individual precursor data on fissile systems, thus motivating further research to simulate more complex fissile systems