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황대희,고갑석 한국인구학회 1983 한국인구학 Vol.6 No.1
In order for handicapped people to maintain better humane life, it is necessary to get statistics of them in developing appropriate national policy. However, it is very difficult to obtain baseline statistics on regular or occasional basis. It's reason is mainly attributed to attitudes of their family's tendency to conceal any existence of such memeber in the household. As a result, the statis-tics on the handicapped population is very inaccurate and under satisfaction. We must produce such statistics periodically in time and with accuracy. Thus, this study porposes five methods which, we believe, can produce reliable statistics of thehandcapped population : 1) vitalization through enforcement of handicapped information into the registration system, 2) inclusion in population census of items related to handicapped information, 3) improvement of the physically handicapped population survey scheme, 4) utilization of hospital patients' records for development of the statistics, and 5) an estimation through the labor force survey.
황대희,홍서기,김재천,김기동,김용균 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.67 No.8
RAON is a Korean heavy-ion accelerator complex that is planned to be built by 2021. Deuterons (53 MeV) and protons (88 MeV) accelerated by using a low-energy driver linac (SCL1) are delivered to the neutron production target in the Neutron Science Facility (NSF) to produce high-energy neutrons in the interval from 1 to 88 MeV with high fluxes of the order of 1012 n/cm2-sec. The repetition rate of the neutron beam ranges from 1 kHz to 1 MHz, and the maximum beam current is 12 μA at 1 MHz. The beam width is 1 2 ns. The high-energy and high-rate fast neutrons are used to estimate accurate neutron-induced cross sections for various nuclides at the NSF. A MICROMEGAS (MICRO Mesh Gaseous Structure), which is a gaseous detector initially developed for tracking in high-rate, high-energy physics experiments, is tentatively being considered as a neutron beam monitor. It can be used to measure both the energy distribution and the flux of the neutron beam. In this study, a MICROMEGAS detector for installation at the NSF was designed and investigated. 6Li, 10B, 235U and 238U targets are being considered as neutron/charged particle converters. For the low-energy region, 6Li(n,)t and 10B(n,)7Li are used in the energy range from thermal to 1 MeV. 235U(n,f) and 238U(n,f) reactions are used for high-energy region up to 90 MeV. All calculations are performed by using the GEANT4 toolkit.
황대희,김용희 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.10
For the future energy-mix policy for carbon neutrality, demand for the capability of load-follow operation has emerged in nuclear power plants in order to accommodate the intermittency of renewable energy. The short-term decay heat analysis is also required to evaluate the decay heat level varied by the power level change during the load-follow operation, which is a very important parameter in terms of short-term decay heat removal during a grace time. In this study, the short-term decay heat level for 10 days after the shutdown was evaluated for both seasonal and daily load-follow cases. Additionally, the nuclide-wise contribution to the accumulated decay heat for 10 days was analyzed for further understanding of the short-term decay heat behavior. The result showed that in the seasonal case, the decay heat level was mainly determined by the power level right before the shutdown and the amount of each nuclide was varied with the power variation due to the long variation interval of 90 days. Whereas, in the daily case, the decay heat level was strongly impacted by the average power level during operation and meaningful mass variations for those nuclides were not observed due to the short variation interval of 0.5 days
Integration of Single-Cell RNA-Seq Datasets: A Review of Computational Methods
황대희,류연재,한근희,Eunsoo Jung 한국분자세포생물학회 2023 Molecules and cells Vol.46 No.2
With the increased number of single-cell RNA sequencing (scRNA-seq) datasets in public repositories, integrative analysis of multiple scRNA-seq datasets has become commonplace. Batch effects among different datasets are inevitable because of differences in cell isolation and handling protocols, library preparation technology, and sequencing platforms. To remove these batch effects for effective integration of multiple scRNA-seq datasets, a number of methodologies have been developed based on diverse concepts and approaches. These methods have proven useful for examining whether cellular features, such as cell subpopulations and marker genes, identified from a certain dataset, are consistently present, or whether their conditiondependent variations, such as increases in cell subpopulations in particular disease-related conditions, are consistently observed in different datasets generated under similar ordistinct conditions. In this review, we summarize the concepts and approaches of the integration methods and their pros and cons as has been reported in previous literature.