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.

This study measured the biochemical properties, antioxidants, free sugars, organic acids, trigonelin, chlorogenic acids, and caffeine content of coffee prepared using different extraction methods by adding dried apple powder to develop high-quality functional drinks. Espresso had the highest soluble solids content and brownness at 9.17±0.88oBrix and 1.85±0.57. Its organic acid content was higher in the sample groups than in the control group, whereas the espresso group was highest in citric acid at 2184.11±0.01 mg/mL, malic acid at 2181.35±0.03 mg/mL, fumal acid at 40.42± 0.01 mg/mL, lactic acid at 32.04±0.02 mg/mL, and formic acid at 49890 mg/mL. Additionally, it had the highest sucrose, glucose, fructose, and sorbitol contents (p<0.05). In the trigonelin content, the sample groups showed a higher content than the control group, with the order being espresso > mokapot > water drip > frenchpress > sippon > hand drip (p<0.05). In the content of chlorogenic acid and caffeine, the sample groups showed higher content than the control group, with the order of espresso > mokapot > water drip > siphon > frenchpress > hand drip (p<0.05). As a result, espresso was found to be suitable for developing coffee drinks in manufactured coffee with different extraction methods.

In this work, we deal with the feasibility of structural topology optimization for beam designs using retrofits that optimally allocates the reinforcement to the web under the condition that designers set bolt regions for H-beams of different dimensions. Mean compliance or minimal strain energy is considered for the optimization. Volume fraction is given to the design space to assign appropriate steel material quantities. The purpose of this study is to evaluate optimal shapes of stiffeners with the maximum rigidity that improves the axial and shear performance of the H-beam and to satisfy a given safety design standard of H-beam and stiffeners in case arbitrary load effect and resistances. Finally, the effectiveness of stiffness-based topology optimization on stiffeners is verified with several practical applicable examples.

본 연구는 전기투석과 용매추출을 융합한 희유금속 회수 공정에서 분리막과 음이온교환막의 개질을 통해 유기상 과 수상에 대한 분리막의 낮은 젖음성 및 AEM을 통한 수소이온 투과로 인한 금속이온의 회수 효율 감소를 개선하였다. 구체 적으로, 분리막 표면 중 한면은 polydopamine (PDA) 통한 친수성 개질, 다른 면은 SiO2 또는 graphene oxide를 통한 친유성 개질을 함으로써 분리막의 젖음성을 개선하였다. 또한, 음이온교환막의 표면을 polyethyleneimine, PDA, poly(vinylidene fluoride) 등을 이용, 개질해 수분 흡수(Water uptake) 감소 및 기공구조 변화를 통해 수소이온 수송을 억제해 수소이온 투과를 억 제할 수 있다. 개질된 막 표면 형상과 화학적 특성 및 조성은 주사전자현미경과 푸리에변환 적외선 분광법을 통해 확인되었 고, 이를 구리 이온 회수 시스템에 적용해 향상된 추출 및 탈거 효율과 수소이온 수송 억제능을 확인하였다.

To investigate antioxidant effects of tea tree root extracts using various extraction methods, cytotoxicity, DPPH and ABTS radical scavenging, SOD, nitrite scavenging activity and inhibitory activity of lipid peroxidation, reducing power, ferrous ion chelating activity were measured. Cytotoxicity for RAW 264.7 cells was not observed at concentrations treated with below 90 μg/mL in all extracts. The maximum DPPH radical, nitrite scavenging, SOD activity and inhibitory activity of lipid peroxidation were obtained at the ethylacetate and 70% ethanol extract. The maximum ABTS radical scavenging activity was obtained at the ethylacetate and hot water extract. However, in the case of reducing power and ferrous ion chelating activity, they were obtained at 70% ethanol and hexane extract, respectively. Nitrate scavenging activity showed the most excellent scavenging ability of 59.6% at 90 μg/mL of ethylacetate. The hexane extract had the highest ferrous ion chelating activity, showing 61.05% at 50 μg/mL, 66.07% at 70 μg/mL and 76.81% at 90 μg/mL, respectively. The results of this research show that the ethylacetate and 70% ethanol extracts of tea tree root can be used as a natural material for scavenging the radicals. However, future study is necessary to understand the mechanism of antioxidant activity by identification of substances.

A new method for chemical separation of light rare-earth elements (LREEs) using gas-pressurized extraction chromatography (GPEC) is described. GPEC is a microscale column chromatography system that features a constant flow of solvents (0.1 mL/min), which is created by pressurized nitrogen gas. The separation column with a Teflon tubing was packed with LN resin. We evaluated the separation of Ba, La, Ce, and Nd using various elution solvents. Here, we applied the natural isotopes of LREEs (La-139, Ce-140, and Nd-144) and barium (Ba-138) instead of radioactive isotopes for the preliminary test and reducing unnecessary radioactive waste. The column reproducibility of the proposed GPEC system ranged from 2.4% to 4.9% with RSDs of recoveries, and the column-to-column reproducibility ranged from 3.1% to 6.3% with RSDs of recoveries. This proposed GPEC method provides robust analysis and facilitates production of lesser chemical wastes and faster separation owing to the use of low solvent volume compared to traditional column chromatography.

Cassia tora seed was processed by germination and roasting to develop a germinated Cassia tora tea. The effects of extraction temperature on antioxidative compounds in tea extracts were examined and compared to four different commercial Cassia tora tea products. The contents of antioxidative compounds, such as phenolics, flavonoids, and β-carotene, increased as the extraction temperature increased (5 to 80oC), subsequently increasing in vitro antioxidant activities (DPPH and ABTS radical scavenging activities). Germinated Cassia tora tea had higher antioxidative activity than selected commercial Cassia tora teas, and the difference was significant at low extraction temperature. Therefore, the germinated Cassia tora tea could contribute to a new type of tea product with enhanced bioactive and antioxidative activities by adopting appropriate processing and extraction conditions.

This study investigated a graded-refractive-index (GRIN) coating pattern capable of improving the light extraction efficiency of GaN light-emitting diodes (LEDs). The planar LEDs had total internal reflection thanks to the large difference in refractive index between the LED semiconductor and the surrounding medium (air). The main goal of this paper was to reduce the trapped light inside the LED by controlling the refractive index using various compositions of (TiO2)x(SiO2)1−x in GRIN LEDs consisting of five dielectric layers. Several types of multilayer LEDs were simulated and it was determined the transmittance value of the LEDs with many layers was greater than the LEDs with less layers. Then, the specific ranges of incident angles of the individual layers which depend on the refractive index were evaluated. According to theoretical calculations, the light extraction efficiency (LEE) of the five-layer GRIN is 25.29 %, 28.54 % and 30.22 %, respectively. Consequently, the five-layer GRIN LEDs patterned enhancement outcome LEE over the reference planar LEDs. The results suggest the increased light extraction efficiency is related to the loss of Fresnel transmission and the release of the light mode trapped inside the LED chip by the graded-refractive-index.

Coal-based graphite has become the main material of emerging industries. The microstructure of coal-based graphite plays an important role in its applications in many fields. In this paper, the effect of carbon disulfide/N-methyl-2-pyrrolidone solvent mixture extraction on the microstructure of bituminous coal-based graphite was systematically studied through preliminary extraction coupled with high-temperature graphitization. The graphitization degree g (75.65%) of the coal residue-based graphite was significantly higher than that of the raw coal-based graphite. The crystallite size La of the coal residue-based graphite was reduced by 47.06% compared with the raw coal-based graphite. The ID/ IG value of the coal residue-based graphite is smaller than that of the raw coal-based graphite. The specific surface area (16.72 m2/ g) and total pore volume (0.0567 m3/ g) of the coal residue-based graphite are increased in varying degrees compared with the raw coal-based graphite. This study found a carbon source that can be used to prepare coal-based graphite with high graphitization degree. The results are expected to provide a theoretical basis for further clean and efficient utilization of the coal residue resources.

This study investigated optimal extraction conditions for applying Capsicum annuum L. leaf as a functional food resource. Capsicum annuum L. leaf was extracted at different extraction solvents (water and 95% ethanol), extraction temperatures (80oC and 100oC), and e xtraction times ( 30, 60, and 9 0 min), a nd t he extracts were e valuated for extraction yield, luteolin content as a major flavonoid component, antioxidant activity, and α-glucosidase inhibitory activity. The extraction yield, luteolin content, DPPH and ABTS radical scavenging activities, and α-glucosidase inhibitory activity of the hot water extract were higher than those of the ethanol extract. In evaluating the extraction temperature of Capsicum annuum L. leaf, the antioxidant activities were similar, but the extraction yields, luteolin contents, and α-glucosidase inhibitory activities were higher at 100oC extraction. In evaluating the extraction time of Capsicum annuum L. leaf, extraction yield increased as the extraction time increased, but antioxidant activity and α-glucosidase inhibitory activity were the highest at 60 min of extraction. These results suggest that the optimum extraction conditions of Capsicum annuum L. leaf are hot water for 60 min at 100oC, and the extracts can be used as a functional food resource.