Journal of the Korean Applied Science and Technology
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v.36
no.2
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pp.592-599
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2019
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 $45^{\circ}C$ 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.
Purpose: This study was to examine the differences in muscle activities for some muscles of the legs used in a broad jump after applying tape to healthy people. The purpose of this study was to improve the exercising ability of patients and athletes during the rehabilitation training. Design: Randomized Controlled Trial. Methods: The experimental group was attached with the Kinesio tape on Rectus femoris, Biceps femoris and Gastrocnemius. Before doing broad jumping, they had stretching with the following order. And we measured broad jumps five times. We gave the rest period between trials. After every trial was measured, they were performed to cool-down exercise with the same way of warm-up exercise. And the control group did the same exercises as the experimental group except for attaching the Kinesio tape on muscles. Results: The results of Rectus femoris, Biceps femoris and Gastrocnemius activities according to tape application of femoris muscle were significantly increased (p<.05) compared to untreated group. Conclusion: Therefore, Kinesio tape has an effect on the improvement of the broad jump recorded by affecting the increase in muscle activities.
The purpose of this study was to identify learners with poor learning in basic cooking practice subjects for college students majoring in cooking, operate a basic practical ability improvement program, and apply an action learning teaching method. We tried to analyze the subjective perception of learners using the Q methodology. In addition, it was intended to improve the major competencies for the operation of practical programs related to cooking training, field training, and employment of learners. The survey was conducted from May 1st to 20th, 2020 for first-year students in C cuisine major. As a result of the analysis, a total of three types were derived. Type 1 (N=7): Self-directed learning effect type, Type 2 (N=8): Problem Solving Effect Types, Type 3 (N=6): Peer learning effect type, each unique feature type Was analyzed as. Through the progress of this study and the derivation of implications, it is expected that it will be useful data for the application of teaching and learning methods related to practical work and program operation in cooking-related departments.
The Journal of the Convergence on Culture Technology
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v.8
no.2
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pp.117-129
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2022
The ability to creatively pursue new knowledge and perspectives across various disciplines has established itself as a basic literacy for living in the 21st-century convergence era. With the development of various creative education programs, assessment tools that can objectively and systematically evaluate learners' academic achievement are also required. Therefore, this paper proposed the self assessment, peer assessment, creativity assessment, and reflection tool based on the hyper blended practical model as assessment tools for creative convergence education programs for elementary and secondary school students. The developed assessment tools attempted to develop more completed evaluation methods by modifying two items and deleting four items through validity tests. In addition, the evaluation tool was applied to 596 elementary and secondary school students nationwide, and the application results were analyzed through one-way ANOVA and Wordcloud system. As a result of the analysis, it was found that the self assessment and the reflection tool need to develop questions according to the grade group. In addition, we proposed to use these assessment tools in blended classes or various educational activities in the changing classroom environment. We hope that this paper provides implications for developing evaluation systems and tools for creative convergence education.
Journal of the Korean Society for Library and Information Science
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v.56
no.2
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pp.5-33
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2022
In this study, the direction and contents of public education to develop competencies that are in line with the 2022 revised curriculum and the paradigm of future education were sought, and a plan for reading education was prepared. A creative and cooperative problem-solving method and process as not only information literacy ability to read, select, and reconstruct information but also transformative competency to respond to uncertain future and diversified situations are important amid the complex, pluralistic and rapid development of information and communication technology It was intended to give an experience of exploring and communicating through reading in order to explore and derive it. Analyze the general outline and syllabus of the curriculum, international education project definitions and indicators, and organize academic theories and research to set the direction and goal of high school reading education, and organize creative and convergence class strategies and reading activities A library reading class model was developed. Accordingly, the class model was revised by applying the development research method, and the final model was developed by supplementing it through field application evaluation. In order to achieve the research purpose end, a two-round Delphi survey was conducted on 10 reading education and curriculum experts. The model modified through the Delphi survey was developed in the final school library convergence reading class model by demonstrating the class in the educational field and supplementing it through application evaluation.
Journal of the Korean Institute of Rural Architecture
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v.24
no.3
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pp.59-66
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2022
This study aims to find out how architectural designers applied the design process and what content is applied in the practical process of architectural design in Korea, and to improve it if there is a problem. So the study is carried out by investigating 13 architects(Including one person who wants to keep his work private) with extensive experience in architectural design. The architects were questioned on how and what content the design process was used for their representative works that had been designed. And interviews and field surveys were conducted on other matters to be improved. The survey was conducted from November 2021 to July 2022. According to the conclusion of this study, First, Most architects were applying the design process in the architectural design practice. These are caused by an impact on education, but there was also an aspect of preparation in terms of guidelines such as the Architects Association and storage rights. Second, Although the design process differed in each name and phase, it was generally carried out in the order of the start phase, the planning work phase, the basic design phase, the intermediate design phase, the implementation quarterly, and construction. Third, The step-by-step work of the design process differed slightly depending on the architect, but counseling and contract work were mainly performed at the start-up phase, and field surveys, legal investigations, and case studys were conducted at the planning phase. In the basic design phase, some contents related to architectural programming, basic drawings, images, and models were used as main work contents. In the intermediate design phase, secondary contents such as licensed books and facility facilities were the main tasks. In the implementation design phase, detailed maps and various frost facilities were finally inspected. Since then, construction and supervision have been carried out in the order of progress. Forth, As for the contents to be improved in the future, the architect's ability, the designer's knowledge of the overall architecture, the design supervision system, and the expansion of time for the initial design process were answered.
Hsu, Hua;Tsai, Chii-Guary;Recinos-Diaz, Guillermo;Brown, John
Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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2001.06a
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pp.1263-1263
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2001
The amounts of organic matter present in soil and the rate of soil organic matter (SOM) turnover are influenced by agricultural management practice, such as rotation, tillage, forage plow down direct seeding and manure application. The amount of nutrients released from SOM is highly dependent upon the state of the organic matter. If it contains a large proportion of light fractions (low-density) more nutrients will be available to the glowing crops. However, if it contains mostly heavy fractions (high-density) that are difficult to breakdown, then lesser amounts of nutrients will be available. The state of the SOM and subsequent release of nutrients into the soil can be predicted by NIRS as long as a robust regression equation is developed. The NIRS method is known for its rapidity, convenience, simplicity, accuracy and ability to analyze many constituents at the same time. Our hypothesis is that the NIRS technique allows researchers to investigate fully and in more detail each field for the status of SOM, available moisture and other soil properties in Alberta soils for precision farming in the near future. One hundred thirty one (131) Alberta soils with various levels (low 2-6%, medium 6-10%, and high >10%) of organic matter content and most of dry land soils, including some irrigated soils from Southern Alberta, under various management practices were collected throughout Northern, Central and Southern Alberta. Two depths (0- 15 cm and 15-30 cm) of soils from Northern Alberta were also collected. These air-dried soil samples were ground through 2 mm sieve and scanned using Foss NIR System 6500 with transport module and natural product cell. With particle size above 150 microns only, the “Ludox” method (Meijboom, Hassink and van Noorwijk, Soil Biol. Biochem.27: 1109-1111, 1995) which uses stable silica, was used to fractionate SOM into light, medium and heavy fractions with densities of <1.13, 1.13-1.37 and >1.37 respectively, The SOM fraction with the particle size below 150 microns was discarded because practically, this fraction with very fine particles can't be further separated by wet sieving based on density. Total organic matter content, mechanical texture, ash after 375$^{\circ}C$, and dry matter (DM) were also determined by “standard” soil analysis methods. The NIRS regression equations were developed using Infra-Soft-International (ISI) software, version 3.11.
Wee Seong Seung;Jung Nam Su;Lee Won Suk;Shin Yong Tae
KIPS Transactions on Software and Data Engineering
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v.12
no.2
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pp.77-82
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2023
The Ministry of Agriculture, Food and Rural Affairs established the FarmMap, an digital map of agricultural land. In this study, using deep learning, we suggest the application of farm map reading to farmland such as paddy fields, fields, ginseng, fruit trees, facilities, and uncultivated land. The farm map is used as spatial information for planting status and drone operation by digitizing agricultural land in the real world using aerial and satellite images. A reading manual has been prepared and updated every year by demarcating the boundaries of agricultural land and reading the attributes. Human reading of agricultural land differs depending on reading ability and experience, and reading errors are difficult to verify in reality because of budget limitations. The farmmap has location information and class information of the corresponding object in the image of 5 types of farmland properties, so the suitable AI technique was tested with ResNet50, an instance segmentation model. The results of attribute reading of agricultural land using deep learning and attribute reading by humans were compared. If technology is developed by focusing on attribute reading that shows different results in the future, it is expected that it will play a big role in reducing attribute errors and improving the accuracy of digital map of agricultural land.
Purpose: Muons are characterized by a strong penetrating ability and can travel through thousands of meters of rock, making them ideal to image large volumes and substances typically impenetrable to, for example, electrons and photons. The feasibility of 3D image reconstruction and material identification based on a cosmic ray muons tomography (MT) system with triangular bar plastic scintillator detectors has been verified in this paper. Our prototype shows potential application value and the authors wish to apply this prototype system to 3D imaging. In addition, an MT experiment with the same detector system is also in progress. Methods: A simulation based on GEANT4 was developed to study cosmic ray muons' physical processes and motion trails. The yield and transportation of optical photons scintillated in each triangular bar of the detector system were reproduced. An image reconstruction algorithm and correction method based on muon scattering, which differs from the conventional PoCA algorithm, has been developed based on simulation data and verified by experimental data. Results: According to the simulation result, the detector system's position resolution is below 1 ~ mm in simulation and 2 mm in the experiment. A relatively legible 3D image of lead bricks in size of 20 cm × 5 cm × 10 cm used our inversion algorithm can be presented below 1× 104 effective events, which takes 16 h of acquisition time experimentally. Conclusion: The proposed method is a potential candidate to monitor the cosmic ray MT accurately. Monte Carlo simulations have been performed to discuss the application of the detector and the simulation results have indicated that the detector can be used in cosmic ray MT. The cosmic ray MT experiment is currently underway. Furthermore, the proposal also has the potential to scan the earth, buildings, and other structures of interest including for instance computerized imaging in an archaeological framework.
Journal of The Korean Association For Science Education
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v.43
no.3
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pp.307-319
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2023
This study aims to explain the key concepts and principles of text-based generative artificial intelligence (AI) that has been receiving increasing interest and utilization, focusing on its application in science education. It also highlights the potential and limitations of utilizing generative AI in science education, providing insights for its implementation and research aspects. Recent advancements in generative AI, predominantly based on transformer models consisting of encoders and decoders, have shown remarkable progress through optimization of reinforcement learning and reward models using human feedback, as well as understanding context. Particularly, it can perform various functions such as writing, summarizing, keyword extraction, evaluation, and feedback based on the ability to understand various user questions and intents. It also offers practical utility in diagnosing learners and structuring educational content based on provided examples by educators. However, it is necessary to examine the concerns regarding the limitations of generative AI, including the potential for conveying inaccurate facts or knowledge, bias resulting from overconfidence, and uncertainties regarding its impact on user attitudes or emotions. Moreover, the responses provided by generative AI are probabilistic based on response data from many individuals, which raises concerns about limiting insightful and innovative thinking that may offer different perspectives or ideas. In light of these considerations, this study provides practical suggestions for the positive utilization of AI in science education.
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