The development of Features, Events, and Processes (FEPs) and scenarios, which consider the longterm evolution of repository, is underway, along with the construction of input data and a model database for the adaptive process-based total system performance assessment framework, APro. PAPiRUS serves as an integrated information processing platform, enabling users to seamlessly access, search, and extract essential information. To enhance data usability, it is crucial to establish well-structured metadata for each dataset. Regarding FEPs, individual FEPs consist of extensive text-based data and sets of other short textual data. To enhance the searchability of these FEPs, precise keywords must be assigned to each FEP. For user convenience, the PAPiRUS FEP database contains several FEPs not only the long-term evolution FEPs developed by KAERI but also thousands of FEPs form the databases such as NEA PFEPs and Posiva FEPs. Generating keywords for thousands of FEPs proves to be a labor-intensive task. Consequently, this study explores natural language processing techniques for keyword analysis to boost the productivity of the keyword generation process. Specifically, we employ Generative Pretrained Transformer (GPT) models for keyword extraction. Our test results for keyword extraction demonstrate that, although not flawless, providing suitable prompts yields sufficiently useful keyword sets. We identified several optimal prompts and developed an Excel-based program to derive keywords from the existing FEP database using these prompts. By using the outcomes of this study, initial versions of keyword sets for thousands of FEPs can be rapidly produced and subsequently refined through expert review and editing. The generated keywords will serve as metadata within PAPiRUS.

Identifying plausible scenarios is necessary to evaluate the performance of the repository reliably over a very long period. All features, events, and processes (FEPs) expected in the repository should be comprehensively well-defined and structured into scenarios based on the relation analysis. A platform for the FEP DB management and relation analysis is needed to facilitate the efficient composition of the scenarios. For this purpose, the CYPRUS program was developed, but abandoned due to suspended FEPs and scenario research. Thus, it became necessary to build a new easy-tomaintain platform that inherits the legacy of CYPRUS and reflects the latest research. The data structure and user interface configuration were derived to develop a new platform. The new platform provides extensive data such as the assessment context, the FEP DB, the interaction between FEP contents, the relevance to other project FEPs, the influence on performance, the scenarios for the TSPA, the AMF, and the PA Data. The platform displays the long-term evolution FEPs developed by KAERI, the international and major project FEPs in table format. The correlation between FEP items is composed of a detailed interaction matrix and visualized as the chord diagram or arc diagram. The relevance and linkages between the project FEP items are mapped and presented in the form of network diagrams and network tables. The platform designed in this study will be used to manage the FEP DB, analyze and visualize the relationship between the FEP and scenarios, and finally construct the performance assessment scenarios. It is expected that the platform itself will be used as a part of the knowledge management system and facilitate efficient collaboration and knowledge exchange among experts.

Since it takes hundreds of thousands of years for the radiotoxicity of spent nuclear fuel to decrease to natural levels, interactions between each repository barrier, climate change, and geological evolutions are inevitable. These processes should be defined as the long-term evolution FEPs and considered in the performance assessment to ensure the long-term safety of the disposal system. The literature survey on geological characteristics and history of the Korean peninsula was conducted, and the list of A-KRS-FEPs which are directly or indirectly related to long-term evolutions was identified in this study. The ice age and geological change are the capital phenomena considered in the exceedingly long-term evolution before/after climate change. The historical data on ice sheets and permafrost were analyzed to investigate the effects of the ice ages on the Korean peninsula. The sealevel changes were investigated based on the research on the coastal terrace to identify the impact on uplift and shoreline change accompanying the ice age. Also, the survey on the geological history data was conducted from the perspective of tectonic activity, metamorphism, igneous activity, and seismic activities to consider the geodynamic evolution of the Korean peninsula. As results, it was suggested that 14 FEPs were directly related to climate change, 18 FEPs were directly related to geological evolution, and 47 FEPs were indirectly relevant to long-term geodynamics. The consent-based FEPs and scenarios for the long-term evolution will be developed shortly, including most of the critical long-term evolution phenomena defined in this study and which are highly probable in domestic disposal conditions. The evaluation and verification of the APro system for long-term safety will accomplish using these FEPs and scenarios.

This study is to stabilize insoluble and unstable active ingredient which is Idebenone (INCI name: hydroxydecyl ubiquinone) in a multi-lamellar vesicle (MLV) and to stabilize it in the skin care cosmetics. Idebenone is good effective raw material in the treatment of Alzheimer's disease in the medical field and a powerful antioxidant in dermatology. It is well known as a substance that inhibits the formation of melanin and cleans the skin pigment. However, it did not dissolve in any solvent and it was difficult to apply in cosmetic applications. Niosome vesicle was able to develop a nano-particle by making a multi-layer of idebenone encapsulated with a nonionic surfactant, hydrogenated lecithin and glycine soja (soybean) sterols and passing it through a high pressure microfluidizer. Idebenone niosome vesicle (INV) has been developed to have the ability to dissolve transparently in water and to promote transdermal penetration. The appearance of the INV was a yellowish liquid having specific odor, and the particle size distribution of INV was about 10~80 nm. The pH was 5~8 (mean=6.8). This capsulation with idebenone was stored in a 45°C incubator for 3 months and its stability was observed and quantitatively measured by HPLC. As a result, the stability of the sample encapsulated in the niosome vesicle (97.5%) was about 66.3% higher than that of the non-capsule sample of 32.5%. Idebenone 1% INV was used for the efficacy test and clinical trial evaluation as follows. The anti-oxidative activity of INV was 38.2%, which was superior to that of 12.8% tocopherol (control). The melanin-reducing effect of B16 melanoma cells was better than INV (17.4%) and Albutin (control) (9.6%). Pro-collagen synthesis rate was 128.2% for INV and 89.3% for tocopherol (control). The skin moisturizing effect was 15.5% better than the placebo sample. The elasticity effect was 9.7% better than the placebo sample. As an application field, INV containing 1% of idebenone is expected to be able to develop various functional cosmetic formulations such as skin toner, ampoule essence, cream, eye cream and sunblock cream. In addition, it is expected that this encapsulated material will be widely applicable to emulsifying agents for skin use in the pharmaceutical industry as well as the cosmetics industry.

이 연구는 국산화 한 액정형성 유화제에 대하여 선진사의 액정형성제를 사용하여 pH변화에 따른 안정성에 관한 것이다. 국산화한 액정유화제는 SugarCrystal-LC (㈜바이오뷰텍, 한국)를 사용하였 고, 비교시료는 Nikkomulese-LC (니코캐미칼즈, 일본)와 Alacel-LC (Croda 캐미칼즈, 영국)를 사용하 여 액정형성의 생성력을 실험하였다. 액정형성은 산성 (pH=4.2)에서, 중성 (pH=7.0) 그리고 알칼리성 (pH=11.7)에서 액정구조가 생성되는지 현미경으로 확인하였다. 또한 교반 속도에 따른 액정의 형성 입 자를 편광현미경으로 관찰 하였다. 교반 시간은 모두 동일하게 3분 동안 Homo-mixer로 교반하였고, 교반속도는 2500rpm, 3500 rpm, 4500rpm으로 증가시켜 액정의 상태를 관찰하였다. 그 결과 한국산 계면활성제가 2종의 외국산 보다 안정하고, 선명한 액정구조가 형성되는 것을 알 수 있었고, 영국산의 경우 유화입경이 분균일하여 불안정한 상태를 보였다. 일본산의 경우, 한국산과 유사한 구조와 성능을 가지고 있음을 알 수 있었다. 한국산 계면활성제는 외국산과 비교하여 우수한 유화성능을 가지고 있음을 알 수 있었다. 응용분야로 국산화한 Sugar Crystal-LC 계면활성제를 사용하여 액정크림, 로션, 아이크림 등 다양한 제형개발이 가능하고, 화장품산업은 물론 의약품산업 및 제약산업에서 피부외용제의 유화기술 로 폭넓게 응용이 가능할 것으로 기대한다.

본 연구는 2단계 발효된 달팽이 추출물을 5% 사용한 시트 마스크 팩 (2F-SEM)을 개발하였 다. 이에 대한 피부미용학적 연구를 수행하기 위하여 순면 100%의 시트를 사용하여 얼굴모양으로 커팅 하여 사용하였다. 플라세보 마스크 팩 (placebo mask pack; PM)과 일반 용매추출에 의한 달팽이 추출 물을 사용한 마스크 팩 (Gene-SEM)에 대하여 피부 개선효과를 측정한 결과를 보고한다. 첫째; 2F-SEM의 보습효과는 PM 보다 11%, Gene-SEM는 PM 보다 4.7%가 상승되었다. 둘째; 2차 발효달 팽이 추출물이 함유된 마스크 팩의 탄력도는 PM 보다 13.8%, Gene-SEM PM 보다 6.7% 이상 개선하 는 효과를 보였다. 셋째; 2F-SEM의 피부 거칠기는 PM 보다 6.80%, Gene-SEM는 PM 보다 2.3%가 개선되었다. 넷째; 2F-SEM의 멜라닌감소효과는 PM 보다 15.0%, Gene-SEM는 PM 보다 8.7%이상 개선되었다. 다섯째; 2F-SEM의 잔주름개선효과는 PM보다 8.0%정도 우수하였다. Gene-SEM는 PM 보다 5.1%이상 개선되었다. 여섯째; 2차 발효 물을 이용한 2F-SEM의 관능 평가는 부드러움(softness), 보습 감(moisture), 주름개선효과(fine wrinkle improvement)에서 유의 차 있는 사용감촉을 보였다.

이 연구는 슈크로오스디스테아레이트(Sucro-DS)를 사용하여 친수형 O/W 에멀젼을 만들고, 이 에멀젼의 드로플렛(droplet)은 다중층의 구조를 가지는 액정생성에 관한 것이다. Sucro-DS 의 물리화 학적 특성을 알아보았고, 이를 이용한 유화성능에 대하여 연구하였다. 액정을 형성하기 위하여 3wt%의 Sucro-DS, 5wt%의 글리세린, 5wt%의 수쿠알란, 5wt%의 카프릭/카프릴릭트리글리세라이드, 3wt%의 세토스테아릴알코올, 1wt%의 글리세릴모노스테아레이트, 78wt%의 정제수의 혼합계에서 안정한 다중층 의 라멜라구조가 형성됨을 알 수 있었다. 이를 응용하여 불안정한 활성물질을 봉입한 크림을 만드는 방 법에 대하여 기술하였다. 또한, 이 기술을 이용한 크림의 보습효과에 대하여 연구하였다. 인체 임상시험 을 통한 피부개선효과에 대하여 연구한 결과를 보고한다. Sucro-DS 를 사용하여 안정한 액정상을 생성 하는 pH 범위는 5.2~7.5 에서 안정한 액정구조를 유지하고 있었다. 액정의 안정성이 우수한 농도는 3wt%의 베헤닐알코올을 함유할 경우의 경도는 13kg/mm,min 이었다. 동일 함량의 점도는 25,000 mPas/min 이었다. 유화제의 영향에 대하여 실험한 결과, Sucro-DS 의 농도는 5wt%가 적합하였고, 안정 한 액정의 입경분포는 4~6mm 이었다. 이를 현미경분석을 통하여 관찰하였고, 3 개월동안 액정변화의 안 정성은 4℃, 25℃, 45℃에서 안정함을 알 수 있었다. 임상시험으로, 바르기 전의 보습력은 13.4±7% 이 었다. 액정이 형성되지 않은 크림의 보습력은 14.5±5%로 바르기 전보다는 약 8.2% 보습력이 상승하였 다. 반면, 액정크림의 경우 19.2±7%로, 도포 전보다는 43.3%보습력이 상승하였다. 응용분야로 Sucro-DS 유화제를 사용한 액정크림, 로션, 아이크림 등 다양한 제형개발이 가능하고, 화장품산업은 물 론 의약품산업 및 제약산업에서 피부외용제의 유화기술로 폭넓게 응용이 가능할 것으로 기대한다.