This study aims to classify R&D activities related to the nuclear fuel cycle using the deep learning methodology. First, R&D data of the Republic of Korea were collected from the National Science & Technology Information Service (NTIS) for the years 2021, 2022, and 2023. We use keywords such as ‘nuclear,’ ‘uranium,’ ‘plutonium,’ and ‘thorium’ to find nuclear-related R&D projects in the NTIS database. Among the numerous R&D projects found through keyword searches, overlapping and medical-related R&D projects were excluded. Finally, 495 R&D projects conducted in 2021, 430 R&D projects conducted in 2022, and 296 R&D projects conducted in 2023 were obtained for analysis. After that, Safeguards experts determine whether the R&D projects are subject to declaration under the AP. The values of the content validity index (CVI) and content validity ratio (CVR) were used to verify whether the experts’ judgments were valid. The 1,218 collected and labeled data were then divided 8:2 into training and test datasets to see if deep learning could be applied to classify nuclear fuel cycle-related R&D activities. We use the Python and TensorFlow packages, including RNN, GRU, and CNN methods. First, the collected text information was preprocessed to remove punctuation marks and then tokenized to make it suitable for deep learning. After 20 epochs of training to classify the nuclear fuel cycle-related R&D activities, the RNN model achieved 97.30% accuracy and a 5.85% error rate on the validation dataset. The GRU model achieved 96.53% accuracy and a 9.06% error rate on the validation dataset. In comparison, the CNN model achieved 94.61% accuracy and a 2.57% error rate on the validation dataset. When applying the test dataset to each model, the RNN model had a test accuracy of 83.20%, the GRU test accuracy of 82.79%, and the CNN model had a test accuracy of 85.66% for the same dataset. This study applied deep learning models to labeled data judged by various experts, and the CNN model showed the best results. In the future, this study will continue to develop an optimum deep learning model that can classify nuclear fuel cycle-related R&D activities to achieve the purpose of safeguards measures from open-source data such as papers and articles.

While companies and brands have always collected and used customer data for multiple purposes, the advent of smart devices, Internet of Things (IoT), and big data has made it much easier to access and utilize consumers’ personal information. For consumers, however, such ease of access to their personal data and frequent cases of data breach have increased their concerns about data privacy (Harris & Associates, 1996; Milne et al., 2004). Nevertheless, consumers continue to share their personal information with companies and brands in the digital environment (Turow et al., 2015).

Following the social requirement to strengthen field supervision of the asbestos containing materials (ACM) abatement process with regard to asbestos school buildings, this study was conducted to understand the status and characteristics of airborne asbestos that may potentially occur after the ACM abatement process is completed. In the area where a series of asbestos abatement processes were finally completed, comprehensive area air sampling was performed. For sample analysis, Transmission Electron Microscopy (TEM) was used according to The Asbestos Hazard Emergency Response Act (AHERA) method and Phase Contrast Microscopy (PCM) analysis was also performed. Airborne asbestos was detected in 29.5% of the total samples, and the average concentration was 0.0039 ± 0.0123 s/cc (12.3 ± 38.9 s/mm2). 4.5% of the total samples exceeded the AHERA standard (70.0 s/mm2) and the average concentration was 0.0528 ± 0.0256 s/cc (167.2 ± 82.0 s/mm2). Airborne asbestos was no longer detected at the point when AHERA is exceeded after re-cleaning. Most of the detected asbestos was chrysotile (94.4%) and the structure types of asbestos were Matrix (41.4%), Fiber (39.9%), Bundle (10.8%), and Cluster (7.8%). Among the asbestos structures detected through transmission electron microscope analysis, the asbestos structures satisfying PCM-equivalent structures were found to be 6% of the detected asbestos, indicating that there is a limitation of the PCM analysis to check the airborne asbestos in that area. As a result of reviewing the status of airborne asbestos that may potentially occur and the type and dimensions of asbestos structure detected in the area, since the airborne asbestos exposure caused by poor field supervision for the ACM abatement process could not be ruled out, thorough management is necessary. In addition, the result of this study could be used as scientific evidence for establishing and strengthening policies related to ACM abatement, including cases of school buildings.

In case a spent nuclear fuel transport cask is lost in the sea due to an accident during maritime transport, it is necessary to evaluate the critical depth by which the pressure resistance of the cask is maintained. A licensed type B package should maintain the integrity of containment boundary under water up to 200 m of depth. However, if the cask is damaged during accidents of severity excessing those of design basis accidents, or it is submerged in a sea deeper than 200 m, detailed analyses should be performed to evaluated the condition of the cask and possible scenarios for the release of radioactive contents contained in the cask. In this work, models to evaluate pressure resistance of an undamaged cask in the deep sea are developed and coded into a computer module. To ensure the reliability of the models and to maintain enough flexibility to account for a variety of input conditions, models in three different fidelities are utilized. A very sophisticated finite element analysis model is constructed to provide accurate response of containment boundary against external pressure. A simplified finite element model which can be easily generated with parameters derived from the dimensions and material properties of the cask. Lastly, mathematical formulas based on the shell theory are utilized to evaluate the stress and strain of cask body, lid and the bolts. The models in mathematical formula will be coded into computer model once they show good agreement with the other two model with much higher fidelity. The evaluation of the cask was largely divided into the lid, body, and bottom, bolts of the cask. It was confirmed that the internal stress of the cask was increased in accordance with the hydrostatic pressure. In particular, the lid and bottom have a circular plate shape and showed a similar deformation pattern with deflection at the center. The maximum stress occurred where the lid was in the center and the bottom was in contact with the body. Because the body was simplified and evaluated as a cylinder, only simple compression without torsion and bending was observed. The maximum stress occurred in the tangential direction from the inner side of the cylinder. The bolt connecting the lid and the body was subjected to both bending and tension at the same time, and the maximum stress was evaluated considering both tension and bending loads. In general, the results calculated by the formulas were evaluated to have higher maximum stresses than the analysis results of the simplified model. The results of the maximum stress evaluation in this study confirms that the mathematical models provide conservative results than the finite element models and can be used in the computer module.

본 연구는 코로나바이러스 감염증-19(이하 코로나19) 팬데믹 상황에서 간호대학생의 취업불안 에 코로나19에 대한 지식과 두려움이 어떠한 영향을 주는지 확인하기 위해 시도되었다. 본 연구대상자는 간호대학에 재학 중인 1학년에서 4학년까지 157명이었으며, 자료수집은 2021년 12월 9일부터 2022년 2월 21일까지 연구에 동의한 간호대학생을 대상으로 시행하였다. 수집된 자료의 일반적 특성에 따른 취업불안 정도의 차이는 Independent t-test, One-way ANOVA로 분석하였고, 변수 간의 상관관계는 Pearson correlation coefficient로, 간호대학생의 취업불안에 영향을 미치는 요인은 단계적 다중회귀 방법을 사용하 여 통계적으로 분석하였다. 본 연구결과, 연구대상자들의 취업불안은 코로나19에 대한 두려움(r=.386, p<.001)과 유의한 상관관계가 있었으며, 간호대학생의 취업불안을 예측할 수 있는 주요한 요인은 코로나19 에 대한 두려움과 대학 생활 만족도였다. 이상의 결과를 볼 때 코로나19에 의한 간호대학생의 취업불안을 줄이기 위해서 취업을 준비하는 학생들에게 두려움을 줄이고 긍정적 정서를 향상할 수 있는 다양한 프로그 램을 마련할 필요가 있다.

본 연구에서는 ultra performance liquid chromatography(UPLC)를 이용하여 진해만의 식물플랑크톤 생체량 및 군집구조의 시공간적 분포에 미치는 환경요인의 영향을 조사하였다. 이를 위해 2019년 4월에서 12월까지 총 5회에 걸쳐 7개 정점에 대한 식물플랑크톤 색소분석과 수온, 염분, 용존산소(DO), 영양염(DIN, DIP, Si(OH)4) 등의 환경요인 분석을 행하였다. 조사기간 중 식물플랑크톤의 생체량(Chl-a)은 7월 (평균 15.4±4.3 μg/L)에 가장 높았고, 12월(평균 3.5±0.6 μg/L)에 가장 낮았다. 보조색소의 경우 fucoxanthin이 가장 많이 검출되었고 그 다음으 로 peridinin, Chl-b 순으로 나타났으며, 이들의 월 변동은 Chl-a와 유사한 경향을 보였다. 식물플랑크톤 군집분석결과, 규조류가 평균 70 %로 가장 우점하였으나, 일부 녹조류, 은편모조류, 와편모조류가 출현하기도 하였다. 우점종인 규조류는 특히 수온 및 N:P ratio와 밀접하게 연관되어 있어서 여름철 고온환경 및 육상으로부터의 영양염 유입에 민감하게 반응하는 것으로 추론되었다. 또한 식물플랑크톤 색소 및 종조성은 전반적으로 계절에 따른 물리화학적 환경요인의 변화 및 지형적 특성과 연관되어 있으며 강우로 인한 담수 및 영양염 공급에 큰 영향을 받는 것으로 추정되었다.

Not only does this paper examine the etymology of yuan元, yuan原, yuan源 and ben本 through Sinoxenic vocabulary but conducts comparative analyses of similarities and differences in them as well. yuan元 means ‘beginning, first’ and ‘root, origin’ in Sinoxenic words. However, its role was replaced with yuan原 at the beginning of the Ming Dynasty. yuan原was originally used to mean ‘first, beginning’ and ‘origin, source’, the former of which has strengthened and the latter of which has become transferred to yuan源to which more meanings of ‘root, by nature’ have been added since then. ben本 means ‘nature, essence, basis’ referring to the essence or nature itself, thereby differentiated both from yuan源, whose meaning indicates the origin of such essence or nature, and from yuan原, which means ‘first’ and ‘beginning (initial appearance or status)’.

This paper examines the effects of the mergers and acquisitions (M&A) announcement through social media on the consumer perception of the luxury brand consumption. A M&A is becoming more wide spread in the luxury market. Yet, the academic research examining the M&A in the luxury brand context has been sparse albeit the growing interests. Moreover, previous research has not paid attention to the effect of social media as a vehicle to communicate the M&A deal with consumers although social media is increasingly used by luxury brands in their brand communication these days. We aim to fill the gap in the luxury brand literature by examining how a horizontal M&A announcement delivered through social media would affect the brand loyalty derived from the luxury consumption values. Specifically, our research focuses on the four distinctive luxury brand values, which are symbolic, experiential, economic and quality values as well as the perceived sustainability of the M&A deal. We examine how a M&A announcement would affect these five values which in turn influence the brand loyalty, as well as examining the differential effect of social media and non-social media as a brand communication vehicle. In addition, we examine how the vertically differentiated luxury brand perceptions (i.e. different luxury tiers) between acquiring and acquired brands influence the consumption values and brand loyalty. Using a scenario-based online survey, our results reveal several interesting insights on the luxury brand M&A. First, our results show that use of social media as a communication vehicle has differential effects on how the M&A announcement influences consumption values and brand loyalty, comparing with the non-social media communication vehicle. Second, we find that a M&A announcement via social media has a positive impact on the consumer values. Third, the symbolic and experiential values have a positive influence on the brand loyalty, regardless of the luxury tier difference between brands. Fourth, our results show that the perceived sustainability has a positive impact on the brand loyalty as long as the M&A was completed between brands at different tiers. Fourth, the perceived quality has a positive impact on the brand loyalty only if the brand is acquired by a less prestigious brand. Lastly, economic value has a positive impact on the brand loyalty only if the acquiring brand is of more luxurious. In sum, our paper provides useful insights to both academics as well as practitioners in the luxury brand M&A context.

Introduction The Fourth Industrial Revolution brings a great change in the retail market through combining new digital technologies, such as data clouding, Artificial Intelligence, and Virtual Reality(VR) technology. The Alibaba group, which is in charge of 90% market share in China, announced a new Virtual Reality (VR) shopping mall, Buyplus, and Alibaba expected that VR will improve shoppers’ engagement and will experience the joy of shopping mall at home. The potential power of VR shopping mall in Korea is recently acknowledged by the Korean government and Korean government developed the full scale VR shopping mall for the first time in Korea. The VR shopping mall is expected to be a new paradigm of distribution channel industry by incorporating some advanced digital technologies. Conceptual Background In previous study, Pelet et al. (2017) investigated the optimal flow experience enhanced by the telepresence in social media. The overall flow provides a unique immersion experience for social media users, also the frequency of use and time distortion were affected during the use of the system. Choi and Choi (2016) conducted a study and they showed that telepresence was one of the important factors in the new technology-based marketing environment. Limioid Theory is explaining a psychological process when user enters into a new situation. Users have to decide how to expand and act on their own in a new situation, so users quickly fall into new situation and want to transit successfully (Huang & Liao, 2017). Virtual Reality shopping with new technology will bring a new marketing paradigm in the future. The purpose of this study is to analyze users’ telepresence and other underlying factors of behavioral intention of VR shopping. To achieve this primary goal, first, we investigated the factors of VR shopping psychology—such as telepresence, challenge, body ownership, and control for VR shopping. We also tried to investigate the factors of perceived value VR shopping - such as playfulness and usefulness by applying the Flow Theory and Virtual Liminoid Theory. Second, we analyzed the relationships between the factors of perceived value and the behavior intention VR shopping by applying the Technology Acceptance Model (TAM). This study suggests the moderating effects of technology readiness and time distortion between telepresence and playfulness. Model Testing and Conclusion In this study, we developed the virtual reality supermarket which is operated by headmounted VR glasses and body sensors with the help of VR technology start-up company. Total 120 university students participated and experienced the VR shopping. By using the structural equation model, research hypotheses were tested and most research hypotheses were statistically significant and accepted. The final research model also showed the statistical significance with the goodness-of-fit indices. We tried to analyze the moderating effects of time distortion and technology readiness between telepresence and playfulness. We also found that there is a moderating effect of time distortion between body control and playfulness. As a result of model testing, we found that playfulness and usefulness are the major mediators between the underlying factors of VR shopping and behavioral intention of VR shopping. The results of this study about VR shopping explain how retail and marketing managers can operate VR shopping store in the technology-based future retail environment. The managerial implications of the study results for the corporate marketing managers and the limitations of the study were also discussed.

The external R&D, which includes the adoption of the external technology and knowledge in addition to the internal R&D, is one of important factors for the innovation. Especially for small and medium-sized enterprises (SMEs), the external R&D has been considered as a key factor to carry out the innovation more efficiently due to the limitations of their resources and capacities. However, most of extant studies related to external R&D have focused on analyzing the influence of external R&D on innovation outputs or outcomes. Only a few studies have explored the impact of external R&D on the innovation efficiency. This study therefore investigates whether the external R&D effects the industry’s innovation efficiency and productivity. On this study, we used Korean manufacturing industry data of SMEs from 2012 to 2014 and employed a global Malmquist productivity analysis technique, which is based on the Data Envelopment Analysis (DEA), to assess the innovation efficiency and productivity. Innovation performances of external R&D group and internal R&D group are compared. Then, the sectoral patterns of both innovation efficiency and productivity are analyzed with respect to the technological intensity, which is introduced by OECD. The results show that the gap of innovation efficiency between external and internal R&D groups has gradually decreased because of the continuous improvement of the external R&D group’s performance, while the external R&D group lag behind the internal R&D group. In addition, patterns of the innovation efficiency and productivity change were different depending on the technological intensity, which means that the higher the technological intensity, the greater the effect of external R&D.

As the demand for large-scale analysis of gene expres- sion using DNA arrays increases, the importance of the surface characterization of DNA arrays has emerged. We com- pared the efficiency of molecular biological applications on solid-phases with different surface polarities to identify the most optimal conditions. We employed thiol-gold reactions for DNA immobilization on solid surfaces. The surface polarity was controlled by creating a self-assembled monolayer (SAM) of mercaptohexanol or hepthanethiol, which create hydrop- hilic or hydrophobic surface properties, respectively. A hyd- rophilic environment was found to be much more favorable to solid-phase molecular biological manipulations. A SAM of mercaptoethanol had the highest affinity to DNA mole- cules in our experimetns and it showed greater efficiency in terms of DNA hybridization and polymerization. The opti- mal DNA concentration for immobilization was found to be 0.5 mM. The optimal reaction time for both thiolated DNA and matrix molecules was 10 min and for the polymerase reaction time was 150 min. Under these optimized condi- tions, molecular biology techniques including DNA hybri- dization, ligation, polymerization, PCR and multiplex PCR were shown to be feasible in solid-state conditions. We de-monstrated from our present analysis the importance of surface polarity in solid-phase molecular biological appli- cations. A hydrophilic SAM generated a far more favorable envi- ronment than hydrophobic SAM for solid‐state molecular techniques. Our findings suggest that the conditions and met- hods identified here could be used for DNA‐DNA hybri- dization applications such as DNA chips and for the further development of solid-phase genetic engineering applicatio- ns that involve DNA-enzyme interactions.