Prejudice refers to ideas, beliefs, feelings, and attitudes that people have about other less familiar groups as a whole or individuals within those groups, based on their perceived group membership (e.g., race, class, gender, and religion. Prejudice has become increasingly of major importance to scientific thinking about relations between groups. However, little is known about how prejudice affects consumer buying behavior, especially regarding shopping activities that involve crossing between suppliers.

The present study choose to conduct consumer behavioral research in Metaverse situation, explores factors that influence consumer shopping enjoyment and purchase intention from product, service and technology perceptive. The research team gathered the primary data through questionnaire subjecting to Chinese consumers (n=300) who know about TaoBao future city which themes on virtual buying in Metaverse. In addition, structural equation modeling is employed to examine the hypothesized relationship among the variables. The result shows that all the driving factors positive effects consumer shopping enjoyment and then influence purchase intention positively. The finding is significantly fundamental to establish theoretical framework future about virtual shopping in Metaverse, and help marketers realize how to set virtual stores in Metaverse to enhance consumer shopping experience so that they could improve consumer purchase intention in the context.

The purpose of this research is to better understand what factors influence on households’ waste sorting behavior at source in Mongolia. To accomplish the goal, this study conducted online survey with self-report questionnaire method and the 353 participants’ data were collected through Facebook groups and pages related to house owners’ associations and waste recycling related non-profit organizations. The results show that the underlying factors determining the intention of waste sorting at source are (1) motivational bases such as prior beliefs and social norms; (2) and an ability/knowledge about the waste sorting at source. Furthermore, the intention is crucial predictor of the real behavior of waste sorting at source, but the most important one is an opportunity to do so. The conclusions and the recommendations are provided.

Metaverse provides technology for people to connect, find communities, and grow businesses. Its sales have seen growth during the COVID-19 pandemic. In an era of metaverse, luxury brands such as Gucci, Ralph Lauren, Burberry, Balenciaga, and Dolce & Gabbana are trying to adapt to new changes. They launched NFT(Non-fungible token) goods, digital fashion, and virtual luxury goods on various metaverse platforms such as Zepeto, Roblox, and Fortnite. For example, Ralph Lauren in Zepeto provides various types of luxury items, immerses in virtual performances, and has a game plot interaction. As people immerse themselves in the Metaverse, they feel happy from various activities—such as watching advertisements, drinking juice, and playing with friends. Thus, what factors should be considered when the luxury brands manage the metaverse?

목적 : 본 연구의 목적은 녹내장의 예방 및 조기진단을 위해 진단되지 않은 녹내장의 특징과 관련 인자의 상관 관계를 알아내는 데 있다. 방법 : 국민건강영양조사 제7기 2017∼2018년 안검진을 받은 만 40세 이상 성인 7,546명을 대상으로 하였다. 참가자는 빛간섭단층촬영, 시야검사, 안저사진 촬영 검사를 통해 녹내장 판정을 받았다. 그리고, 자가 설문 응답 조사를 통해 사전 진단 여부를 파악하였다. 통계는 카이제곱 검정을 사용하였고, 관련성은 로지스틱 회귀분석을 이용하여 분석하였다. 결과 : 7,546명의 참가자 중 325명이 녹내장 진단을 받았으며 유병률은 4.3%였다. 이 중 47명은 사전 녹내장 진단을 받은 이력이 있고, 180명은 이전에 녹내장 치료를 받은 적이 없는 미진단 녹내장 환자로 79%를 차지했다. 연령과 성별을 보정한 관련성 분석에서는 안과를 방문한 지 1개월 이내 집단보다 1개월에서 1년 이내에 안과를 방문한 집단에서 관련성이 21배 높았다(p=0.002), 1년 이상 안과를 방문하지 않은 군에서는 1개월 이내 집단보 다 126배 높았다(p=0.001). 굴절이상과 관련도는 우안의 원시 굴절이상 환자군에서 녹내장 관련도가 8배 (p=0.043) 더 높았다. 다른 사회학적 및 건강 관련 요인에서는 진단되지 않은 녹내장과 진단된 녹내장에 대해 통 계적 유의성이 발견되지 않았습니다. 결론 : 안과 의사의 정기적인 방문과 원시 굴절이상 환자는 진단되지 않은 녹내장의 조기진단에 중요한 요소입 니다.

본 연구는 제15차(2019) 청소년건강행태조사의 원시자료를 활용하여 생물-심리-사회 모델을 바탕으로 우리나라 청소년의 편의식품 섭취 경험의 영향요인을 파악하고자 하였다. 연구 결과 생물학적 요 인으로 성별, 학년, 아토피 피부염이 주요 요인으로 분석되었으며, 심리학적 요인으로는 스트레스 인지 수 준, 우울감 경험, 자살 생각 여부, 주관적 수면충족, 주관적 건강상태, 신체활동, 현재 흡연과 음주 경험이 영향요인으로 확인되었다. 또한 사회학적 요인으로는 영양 및 식이 교육, 아침식사 여부, 학업 성적, 주관 적 경제상태, 동거가족 여부가 청소년의 편의식품 섭취 경험에 영향을 미치는 것으로 나타났다. 이러한 결 과를 바탕으로 청소년의 건강한 식습관 관리를 위해서는 실효성 있는 영양 및 식이교육 프로그램 제공과 정서적 지지가 필요하며, 가족 구성원을 교육 대상에 포함시키는 등 다각적이고 체계적인 대책마련이 필요 하다.

본 연구는 저소득층 중년 여성의 골다공증 지식, 골다공증 예방행위의 상관관계 및 골다공증 예방행위에 영향을 미치는 요인을 확인하기 위한 서술적 조사연구이다. 연구대상자는 P시에 소재한 3개 종 합병원에 내원한 저소득층 중년 여성 317명이며, 구조화된 설문지를 이용하여 2021년 2월 1일부터 2022 년 12월 30일까지 자료를 수집하였다. 수집된 자료는 SPSS/WIN 27.0 프로그램을 이용하여 기술 통계, t-test, ANOVA, Pearson’s correlation, Stepwise multiple linear regression으로 분석하였다. 연구 결과, 연구대상자의 골다공증 지식은 11.97±6.89점으로 낮게 나타났고, 골다공증 예방 교육 및 골절 경험에서 차이를 보였다. 골다공증 예방행위는 41.03±7.63점으로 낮았고, 종교, 동반질환, 골다공증 예방 교육 및 골절 경험, 주관적 건강상태에 따라 차이를 보였다. 골다공증 지식과 골다공증 예방행위는 통계적으로 유 의한 양의 상관관계를 보였고(r=.527, p<.001), 골다공증 예방행위에 영향을 미치는 요인은 골절 경험(β =.415, p<.001), 골다공증 예방 교육(β=.359, p<.001), 주관적 건강상태(β=.186, p<.001) 순으로 나타났 다. 따라서 본 연구 결과를 토대로 저소득층 중년 여성의 골다공증 예방행위를 증진시킬 수 있는 프로그램 을 개발하고, 참여를 권장할 수 있는 방안을 마련하는 등의 지속적인 관리가 이루어져야 할 것이다.

본 연구는 조직이 원격근무를 도입하고자 할 때 실질적으로 고려해야 할 사항들을 분석해 제안하려는 목적으로 실행되었다. COVID-19로 인해 확산된 원격근무는 생산성의 보전 및 일-가정 양립 등의 효용을 가져와 포스트 팬데믹 시대에서도 뉴노멀로 활용될 수 있다는 가능성이 타진되었다. 그러나 원격근무는 전염병으로 인한 위기 상황에서 주입적으로 실행되었을 뿐 그에 맞는 운영 방침이 정해지지 않아 기업들 의 효율적인 도입이 어려웠다. 기존부터 원격근무에 관련된 연구는 진행되고 있었다. 그러나 선행연구들 은 원격근무의 이론적인 방향성을 언급하거나 긍정적인 효과에 대한 기대점을 시사하는 내용이 주를 이루었고 원격근무를 도입하거나 개선하고자 하는 기업을 위해 정량적 기법을 활용하거나 구체적인 제도 수립을 위한 요인 제시에 있어서는 미흡한 상황이다. 이에 본 연구는 원격근무 도입 시 고려해야 할 핵심 요인을 도출하여 기업들의 원격근무 도입에 실용적이고 통합적인 관점을 제안하고자 하였다. 이를 위해 경영학계 교수 및 인사관리 전문가들로 구성된 패널을 대상으로 델파이 조사를 실시하였다. 델파이 연구 는 정립되지 않은 분야에서 방향성을 도출하기에 적합한 사회 연구 방법론이라고 할 수 있다. 따라서 델 파이에 관련된 선행연구를 따라 가장 적합한 방식으로 총 3차에 걸친 델파이 조사를 진행하였으며, 조사 결과 최종적으로 조직문화, 업무환경, 인적자원, 성과관리의 네 가지 영역에 걸친 16가지의 핵심 요인이 도출되었다. 본 연구는 원격근무와 관련된 명확한 가이드라인이 없는 상황에서 원격근무 도입 시 인사 관리자들이 실질적으로 고려할 수 있는 요인들을 체계화했다는 점에서 의의를 지닌다.

SOCS3, a suppressor of cytokine signaling 3, is known as a negative regulator of various cytokines and a tumor suppressor gene in human tumors. This study aimed to investigate the role of SOCS3 in oral squamous cell carcinoma (OSCC) and its impact on epithelial-mesenchymal transition (EMT) in OSCC cells. Although SOCS3 is recognized as a negative regulator of various cytokines and a tumor suppressor gene in human tumors, its specific effects on OSCC remain poorly understood. For the assessment of SOCS3 expression in OSCC, the UALCAN website and TCGA data were used to evaluate its expression in head and neck cancer. Additionally, immunohistochemical staining was conducted to determine the SOCS3 expression specifically in OSCC. The findings indicated a significant decrease in SOCS3 expression in tumor tissue compared to that in normal tissues. To investigate the enhancement of SOCS3 expression in OSCC cancer cell lines, IL6 treatment was administered to MC3 cells. However, no significant differences were observed in cell viability, wound healing assay, and invasion assay. Conversely, the transfection of SOCS3 siRNA into OSCC cells led to a notable increase in cell viability and statistically significant increases in wound healing and invasion assays. These results suggest that SOCS3 plays a crucial role in cell viability and EMT in OSCC, thereby contributing to oral carcinogenesis. Further research is necessary to elucidate the precise role of SOCS3 in OSCC.

우리나라 100대 명산에 포함되고 천혜 자연환경을 갖추고 있지만 충청남도 내 휴양림 중 이용률이 저 조한 칠갑산자연휴양림을 연구대상지로 하여 휴양림 활성화와 재방문 의사를 높여 건강한 여가 활동 을 선도하는 운영‧관리 방안을 제시하고자 본 연구를 수행하였다. 칠갑산 휴양림 방문객 250명에게 총 101개로 구성된 설문지를 자기기입방식으로 배포하여 200부를 회수하였고 인구통계학적 특성 및 이 용행태, 재방문의사 결정 중요요인 간 상관관계와 미치는 영향 등을 알아보기위해 빈도분석, Varimax- 직각회전, Bartlett의 구형성 검정, 크론바흐 알파, 독립표본 t-검정, 일원분산분석, Scheffe’s 사후검증, Pearson상관관계분석, 다중회귀분석을 하였다. 연구결과 휴양림 방문객들의 이용만족도는 대체로 양 호하였지만 개선이 필요한 사항에 대한 질문에서 안전 및 환경에 대해 다소 부족한 것으로 나타났다. 제안 사항인 효율적인 운영·관리 방안으로 레크리에이션시설(등산학교·트레킹지원센터 등) 및 프로 그램(산림치유·숲해설 등)이 필요하다고 사료되며, 환경을 고려한 휴양림 내 추가 식재, 색다른 경관 환경(소규모정원 등)을 조성하여 특색 있는 휴양림으로 탈바꿈할 필요가 있다는 결론을 도출하였다. 따라서 본 연구에서는 건강한 여가활동 촉진, 휴양림 활성화 및 재방문의도 증대에 기여하기 위해 칠갑 산 자연휴양림에 필요한 중요 요인을 찾아서 제안하고 있다.

PURPOSES : This study aims to conduct a sensitivity analysis to determine the major factors affecting traffic accidents involving elderly pedestrians. METHODS : In this study, a regression tree model was built based on a non-parametric statistical model using data on traffic accidents involving elderly pedestrians. Using this model, we analyzed the degree of change in the probability of pedestrian fatalities. RESULTS : Results of the model analysis show that the first major factor combination affecting traffic accidents involving elderly pedestrians is speeding, night time, and road markers. The second combination is night time and arterial roads (national and local highways). The last combination that may lead to such accidents is heavy vehicles and federally funded local highways. CONCLUSIONS : Preventive measures, such as speed control, proper lighting, median strips, designation of pedestrian protection zones, and guidance of detours, are necessary to manage high-risk combinations causing accidents of the elderly.

PURPOSES : This study predicts the concentration of suspended road dust (PM10) by analyzing meteorological, traffic, and atmospheric environmental data acquired at various angles, and attains a comprehensive understanding of the influencing factors of suspended road dust. METHODS : Experimental field methods were applied and statistical analyses were conducted. Field experiments were conducted using a vehicle-based measurement of suspended dust (PM10) to measure its concentration at the measurement site while maintaining a constant driving vehicular speed. Statistical analysis demonstrated the effects of the concentration of suspended dust on changes in meteorological and environmental factors and lanes per traffic volume at the time of measurement. Finally, a multiple linear regression model was applied to identify the factors which affected the generation of suspended dust. RESULTS : The analysis of suspended road dust concentrations according to the lanes per traffic volume and environmental factors showed that suspended dust concentrations increased at increasing driving speeds. In addition, the background concentration at the monitoring station was higher at high-wind speeds (>3.0 m/s) than at low-wind speeds (<1.6 m/s), but the suspended dust concentrations were higher at low-wind speeds. During the temperature inversion period from evening to morning, the suspended effects of traffic and meteorological factors were greater than the background concentration at the station. Multiple linear regression analysis showed that excluding yellow-dust days, which are known to affect atmospheric pollution levels, the accuracy of the model improved and resulted in increases in background PM10, vapor pressure, sea-level pressure, visibility, after-rainfall time, and in decreases in insolation and precipitation during low-wind speed conditions. CONCLUSIONS : At low-wind speeds, 5 days after rain, and when the relative humidity was higher than 72%, suspended dust was found to be higher than atmospheric PM10 concentration and may increase at increasing driving speeds and section lane traffic volumes. However, the volume of measured data in this study is limited to determining the patterns of suspended dust, as the silt loading of the operational road or the effects of prominent variables were not considered in this study. However, we identified prominent factors related to road-suspended dust for real-time road-dust predictions.

The Korea Atomic Energy Research Institute (KAERI) employs a methodology for evaluating the concentration of radionuclides, dividing them into volatile and non-volatile nuclides based on their characteristics, to ensure the permanent disposal of internally generated radioactive waste. Gamma spectroscopy enables the detection and radiation concentration determination of individual nuclides in samples containing multiple gamma-emitting nuclides. Due to the stochastic nature of radioactive decay, the generated radiation signal can interact with the detector faster than the detected signal processing time, causing dead time in the gamma spectroscopy process. Radioactive waste samples typically exhibit higher radiation levels than environmental samples, leading to long dead times during the measurement process, consequently reducing the accuracy of the analysis. Therefore, dead time must be considered when analyzing radioactive waste samples. During the measurement process, dead time may vary between a few seconds to several tens of thousands of seconds. More long dead time may also result in a temporal loss in the analysis stage, requiring more time than the actual measurement time. Long dead time samples undergo re-measurement after dilution to facilitate the analysis. As the prepared solution is also utilized in the nuclide separation processes, minimizing sample loss during dilution is crucial. Hence, predicting the possibility of dead time exceeding the target sample in advance and determining the corresponding dilution factor can prevent delays in the analysis process and the loss of samples due to dilution. In this study, to improve the issues related to gamma analysis, by using data generated during the analysis process, investigated methods to predict long dead time samples in advance and determining criteria for dilution factors. As a result of comparing the dead time data of 5% or long with the dose of the solution sample, it was concluded that analysis should be performed after dilution when it is about 0.4 μSv/h or high. However, some samples required dilution even at doses below 0.4 μSv/h. Also, re-measurement after dilution, the sample with a dead time of less than 32% was measured with less than 5% when diluted 10 times, and more than 32% required more than 10 times dilution. We suppose that with additional data collection for analyzing these samples in the future, if we can establish clearer criteria, we can predict long dead time samples in advance and solve the problem of analysis delay and sample loss.

Zinc injection into the coolant system of nuclear power plants is an effective method for reducing corrosion and improving performance. The effectiveness of this method is influenced by various factors such as zinc concentration and injection rate. This paper provides an overview of the factors affecting the effectiveness of zinc injection in nuclear power plants, with a focus on zinc concentration and injection rate, and discusses various research results on the effects of these factors on corrosion reduction and coolant system performance. Zinc concentration is an important factor affecting the effectiveness of zinc injection. The research results show that gradual increases in zinc concentration are more effective for coolant system stability. However, the concentration should not exceed the recommended levels as high zinc concentrations can have negative effects on the system. Injection rate is also an important factor affecting the effectiveness of this method. The research results show that gradual increases in injection rate are more effective for coolant system stability. However, excessive injection rates can have negative effects on the system such as overload of the zinc injection facility and chemical shocks within the coolant system, and therefore, should be optimized. In conclusion, zinc concentration and injection rate are important factors affecting the effectiveness of zinc injection in nuclear power plants. The optimal concentration and injection rate should be determined based on specific reactor conditions and system requirements, and efforts should be made to maximize corrosion reduction and performance improvement.

Safety-related items in the decommissioning Nuclear Power Plants (NPPs) can largely consider safety for workers and residents. At this time, the effects of radioactive contamination on the Systems, Structures, and Components (SSCs) are caused by the performance of work related to Decontamination and Dismantlement (D&D) activities. Classification according to dismantling activities will be important, and the decay factor of radionuclides and the impact of contaminations due to plant characteristic (thermal and electrical capacity) in estimation of exposure dose from such activities will be considered compared to other overseas NPPs. Therefore, this study will consider some factors to consider for comparison with overseas cases in estimating worker exposure dose. To assess worker exposure doses, the classification of decommissioning activities must first be made. It should be classified including large components that can be generally considered, and the contents should be similar to compare with overseas cases. In case of decommissioned NPPs with prior experience, it is possible to predict worker’s exposure with respect to plant capacity, but this does not seem to have a specific correlation when reviewing the related data. Depending on the plant capacity, the occurrence of contamination of radioactive materials may have some correlation, but it cannot be determined that it has causality with the worker’s dose when dismantling. In addition, it is expected that the effects of workers’ exposure doses will vary depending on when the highly contaminated SSCs will be dismantled from permanent shut down. Therefore, the decay correlation coefficient for this high radiation dose works should be considered. If the high radiation dose work is performed before the base year, a correlation coefficient larger than 1 value will be applied, and in the opposite case, a value less than 1 will be applied. Whether or not to perform Full System Decontamination (FSD) is also an important consideration that affects worker dose, and correlation factors should be applied. In this study, the matters to be considered when estimating worker dose for dismantling NPPs were reviewed. This suggests factors to be reflected in the work classification and dose results for comparison with overseas NPP experiences. Therefore, when doing the workers’ dose estimation, it is necessary to derive a normalized doses considering each correlation factor when comparing with overseas cases along with dose estimation for the dismantling activities.

Kori Nuclear Power Plant Unit 1, which began operating in 1978, is Korea’s oldest commercial nuclear reactor. The reactor was permanently shut down in June 2017, and now the decommissioning process has begun. The decommissioning process will generate a significant amount of waste that requires appropriate management to minimize the impact on the environment and human health. And the waste routing, i.e. the activities and logistics for managing the material generated, is a key point in a decommissioning project. It determines the routes from the material inventory to the envisaged material end states. In this study, we review on several factors for the selection of the waste routes in a decommissioning project. In terms of sustainability, the ‘waste hierarchy’ should be applied to routing materials from nuclear facilities. According to the waste hierarchy, the preferred end state is reuse or recycling of the waste as material or, more preferably, the avoidance of waste generation. In addition, treatments (such as decontamination and thermal treatment) that can reduce the volumes requiring disposal as radioactive waste should be considered. Another important parameter is the need to secure availability and capacity of waste routes. Short-term bottlenecks or any delay in the removal of the waste from the site often has an impact on other site activities. If possible, at least two alternative waste routes should be identified for the main categories of waste and kept available throughout the decommissioning project. All routes should be direct to the material end state if possible, but it is more important that waste is removed from the site so that other site operations are not impeded.

In this study, we evaluated the performance of phosphate-functionalized silica in adsorbing uranium and provided insights into optimizing the initial conditions of the uranium solution (concentration and pH), which are often overlooked in uranium adsorption studies. While most studies take into account the effect of pH on both the surface charge of the adsorbents and the dissolved speciation of uranium in solution, they often overlook the formation of solid phases such as β-UO2(OH)2 (cr) and UO3· 2H2O(cr), leading to an overestimation of the adsorption capacity. To address this issue, we considered the speciation of U(VI) calculated using thermodynamic data. Our findings suggest that it is reasonable to evaluate the adsorption performance at pH 4 and concentration below 1.35 mM. The formation of β-UO2(OH)2 (cr) starts at 23 μM (pH 5) and 1 μM (pH 6) and increases sharply with increasing concentration. To avoid interference from the formation of solid phases, experiments should be conducted at lower concentrations, which in turn require very small msorbent/Vsolution ratios. However, controlling small amounts of sorbent can be challenging, and increasing the volume of the solution can generate significant amounts of radioactive waste. We also used UV-vis spectra analysis to investigate the formation of solid phases. We found that a 100 mg L-1 uranium solution resulted in the formation of colloidal particles in the solid phase after 2.5 hours at pH 6, while at pH 4, no significant changes in absorbance were observed over 120 hours, indicating a stable ion phase. Based on these conditions, we obtained an excellent adsorption capacity of 110 mg g-1.

A large amount of radioactive wastes are generated during the decommissioning of the nuclear power plant. The need for radioactive waste management is emerging as the permanent suspension of domestic nuclear power plants Gori Unit 1 and Wolseong Unit 1 has been decided. According to the analysis of the number of land transportation of Gori Unit 1, when the dismantling period is expected to be five years, the number of land transportation is 459. Accordingly, measures are needed to improve the acceptability of residents on land transportation routes. Currently, there is little preparation for the acceptance of residents by transporting radioactive waste in Korea. This study analyzed the literature related to radioactive waste and nuclear power generation to derive factors that affect the acceptance of residents on the transport route of radioactive waste. Factors Affecting Resident Acceptability • Mistrust of the measured dose levels themselves • fear of radiation • Lack of training in radiation, nuclear power • Insufficient information for easy identification of dose and concentration • economic compensation In order to improve the acceptability of residents when transporting radioactive waste on land, it is necessary to scientifically prove the safety of the low and intermediate level radioactive waste transport path, and policy improvement considering the acceptability of residents is needed. In subsequent studies, it is necessary to specifically derive solutions to the above factors. This study is significant in that it derived factors that could affect low and intermediate level radioactive waste transportation, considering that no countermeasures have been prepared to improve the acceptance of residents by transporting low and intermediate level radioactive waste in Korea.

Domestic nuclear power plants developed the scaling factors for the radioactive waste generated from 2004 to 2008 for the first time. Afterwards, the effectiveness of continuous application of the scaling factors have been evaluated for newly generated radioactive waste over the past two years. It was confirmed that most of the initially developed scale factors were effective within a factor of 10 principle, which is an acceptable range. The scaling factors were updated using the analysis data base from 2004 to 2016. A scaling factor refers to the calculated abundance ratio between Key (Easy-to- Measure) and DTM (Difficult-to-Measure) nuclide at the time of generation of radioactive waste based on the source term in the reactor of an operating nuclear power plant. The effectiveness of continuous application of scaling factors can be evaluated at regular intervals regardless of operation status or when there are events that change scaling factors during nuclear power plant operation, such as zinc injection, large-scale facility replacement, and long-term shutdown etc. Even in the case of a permanently shut down nuclear power plant in which fuel is withdrawn from the reactor and generation of new nuclides by nuclear fission and radiation has stopped, periodic verification is conducted to confirm whether the scaling factor developed before permanent shutdown can be effectively applied to the radioactive waste generated after permanent shutdown. However, depending on the nuclear power plant decommissioning strategy or conditions, the period of permanent shutdown prior to decommissioning can be very long, so preparations are needed to ensure the appropriateness of scaling factor operation. In the case of domestic nuclear power plants, Kori Unit 1, a light water reactor, was permanently shut down in June 2017, and as a heavy water reactor nuclear power plant, the permanent shutdown of Wolseong Unit 1 was finally decided in December 2019 after twists and turns including large-scale facility replacement and long-term shutdown. In this paper, we have predicted when the scaling factors will change significantly due to radioactive decay and the difference in halflife between the Key and DTM nuclides over time after permanent shutdown. We also have tried to find appropriate countermeasures for the operation of scaling factors during permanent shutdown period, such as updating scaling factors or applying correction factors.