• Korean Journal of Head & Neck Oncology
• /
• v.31 no.1
• /
• pp.34-38
• /
• 2015

Progressive transformation of germinal centers(PTGC) is a rare benign lymph node enlargement characterized by chronic lymphadenopathy and the presence of germinal centers with fused and expanded mantles within a lymph node that are 3-5 times the size of a typical reactive follicle. Although PTGC is reported in 3.5-10% of chronic lymphadenopathy, head and neck surgeons do not often experience this condition and its clinical implications. Althoug PTGC is benign disease, it could not be excluded the association with other malignant lymphoid diseases. Therefore, periodic follow up of PTGC patient could be required. We report two cases at this study ; a 16 years old man who visited out-patient clinic due to palpable mass of right cervical area, several months ago, and a 35 years old man who visited out-patient clinic for evaluating right cervical mass. Both of two patients were diagnosed with PTGC. In this study, we focus on the clinic-pathologic features of this uncommon disease along with other literature reviews.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.37 no.3
• /
• pp.157-165
• /
• 2019

Recently, large and small earthquakes have occurred in the Korean peninsula. In this sense, Korea is no longer considered as an earthquake free zone. Especially, it is necessary to respond quickly to earthquake tsunami which may be caused by the influence of neighboring countries with large earthquakes. Since the occurrence of tsunamis can cause great casualties, it is very important to allocate the location of the shelter in case of an earthquake. Although many researches on shelter allocation have been conducted in various ways, but most of them have been analyzed based on administrative district resident data, resulting in a lack of reality. In this study, floating population data were used to reflect reality in case of emergency situations, and genetic algorithm, which produce good results among the heuristic algorithms, was used to select shelter locations. The number of evacuees was used as a objective function of genetic algorithm and the optimal solution was found through selection, crossover and mutation. As a result of the research on Busan Haeundae-Gu, selected as a research area, allocating eight shelters was the most efficient. The location of the new shelters was selected not only in residential areas but also in major tourist areas whose results can not be derived from administrative district resident data alone, and the importance of utilizing the floating population data was confirmed through this study.