This research aims to identify the possibility of developing A horizon resources that can be used for construction and civil engineering work. As such, the utility of A horizon resources was examined by establishing planting ground through a mixture of soil layers and by analyzing the growth and development of Pinus densiflora. The physicochemical and physical properties of the soil were as follows: the A horizon was sandy clay loam, B horizon was sandy loam, and the mixture of two layers appeared as sandy loam, which was identical to the B horizon. The experimental groups did not show any significant difference in their physical properties of porosity and degree of water-stable aggregates. With regards to chemical properties, the A horizon as well as the mixture of A and B horizon showed acidity while the B horizon showed alkalinity. The figures of organic matter, total nitrogen, available phosphate, and replaceable potassium were greater as the A horizon content increased, whereas the figures of replaceable calcium, replaceable magnesium, and conductivity increased as the A horizon content decreased. As a result of the growth and development of Pinus densiflora in each planting ground, the final survival rates were all above 100%. However, the tree height and the rate of growth for the diameter of root were higher in the order of A horizon > A horizon + B horizon > B horizon,indicating that the increased A horizon content is related to the growth and development of Pinus densiflora. The treatment of soil with improvement agents, used to recover the functions of in-situ soil showing poor growth and development, did not have a clear impact on the soil texture and porosity. However, the degree of water-stable aggregates increased significantly when using O horizon as the soil improvement agent among the types of in-situ soil. In contrast, all items related to the chemical properties showed significant differences following the treatment by soil improvement agents. The survival rate according to the treatment of soil improvement agents for the growth and development of Pinus densiflora was higher in the order of organic horizon = no treatment > compound fertilizer > organic fertilizer + compound fertilizer > organic fertilizer; this result was statistically significant with a marginal significance value of the log-rank test(p < 0.05).
The purpose of this study is to develop a perceived elderly stigma scale for intergenerational research and practice. Although negative stereotypes on elderly population have worsened physical and psychological health of older people, there has been a lack of systematic efforts to measure and monitor stigmatic perception and behavior of younger generation on elderly people. We initially constructed a 34-item perceived elderly stigma scale, by integrating the processes of literature review and exploratory item generation. After confirming the face validity of the scale, a 31-item perceived elderly stigma scale was tested with 252 adults recruited from an online research panel. The result of an exploratory factor analysis suggests a 5-factor solution with 28 items: ability, personality, appearance, authoritarian dependancy, and family-obsession. The convergent/discriminant validity was confirmed by examining its relationships with ageism, elderly discrimination, attitude toward elderly, and respect for elderly. After a series of refinement and empirical tests, the perceived elderly stigma scale would contribute to understanding the current state of elderly discrimination in our society and to develop necessary policies and promotion strategies to eliminate intergenerational conflicts.
The purpose of this study is to analyze leading teachers' opinions on key competencies and subject competencies presented in the 2015 revised national curriculum and to draw implications for competency-based curriculum development and implementation. The research findings show that leading teachers are generally positive about the introduction of key competencies, subject competencies setting and its feasibility and recognize that the key competencies are highly related to the subject competencies of each subject. However, it is judged that the key competencies and subject competencies are not embodied well in every aspect of the curriculum documents. They also recognize that in the practice of competency education, supporting the development of teachers' ability to conduct student-centered classes in a culture that enables voluntary research efforts of the teacher community can be the biggest issue rather than external support such as development of competency-centered textbooks or consulting and supervision. Finally, we propose the need for support and policy that enable voluntary efforts for interdisciplinary cooperation and strengthening teacher capacity rather than developing competency-centered textbooks; specification of competency education in educational content, pedagogical methods and assessment; reconsideration of subject competencies setting; maintaining the relationship between key competency and items that guide educational goals.
The Journal of The Korea Institute of Intelligent Transport Systems
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v.21
no.2
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pp.167-182
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2022
The accident data attributes of the traffic accident report are used not only in traditional traffic safety-related research to identify the cause of traffic accidents, but also as basis data for the development of the automated vehicle driving performance verification scenarios. However, since the data attributes of the traffic accident report are limited for the purpose of reconstructing the traffic situation and developing scenarios, this study aims to provide the directions for improvement of traffic accident report, ultimately for its expanded usability for the automated vehicle test scenarios. The directions for improvement of the traffic accident report are provided by categorizing the traffic situation before the accident (pre-crash), the situation immediately before or during the accident (on-crash), and the situation after the accident (post-crash), respectively. Additional data items or data processing methods are presented. Furthermore, data elements that can be extracted from the traffic accident process data in the unstructured narrative form are explored and provided.
Journal of the Korea Fashion and Costume Design Association
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v.24
no.3
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pp.73-84
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2022
This study aims to present the direction of research for rational clothing design and production and improve the productivity of the fashion industry by analyzing the most recent 11 years (from 2010 to 2021) with regard to the clothing construction field. Analyzing the research trends in the field of clothing construction, which is deeply related to clothing production, will suggest the direction of research for clothing design and production. To analyze the current status of research in the field of clothing construction, research trends were analyzed, focusing on 525 research journal articles from six Korean clothing-related journals with terms related to torso and upper and lower limbs. The analysis results of this study are as follows. First, the rapid development of IT technology requires changes and innovations in all processes of clothing construction, including body shape analysis and pattern design. Therefore, it is believed that both body shape and pattern research should be continuously conducted to produce clothes with an excellent silhouette and fit depending on the body shape through studies, such as developing 3D patterns and converting 3D body figures into 2D patterns, among others. Second, since body shape studies are concentrated on young, middle-aged, and the elderly, it is believed that various body shape studies should be conducted on infants and elementary, middle, and high school students who have significant changes in body shape due to changes in the living environment. Third, if the content of pattern research is expanded to various items and is widely conducted, it will contribute to the production of clothing that has an excellent fit. Fourth, at a time when aging in society is accelerating, it is believed that research on patterns and clothing systems that can increase the fit of clothing by analyzing the body types of elderly male and female consumers should be actively conducted. Because the analysis was conducted only among six Korean academic journals, there is a limitation in the expanded interpretation of the results derived from this study.
The Journal of Korean Society for School & Community Health Education
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v.23
no.4
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pp.17-28
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2022
Objectives: This study aimed to provide the measures for improving the self-directed learning ability and the reference data for substantializing the educational programs by verifying the main factors affecting the self-directed learning ability of dental hygiene students in reality when the learners' autonomy is emphasized than ever. Methods: From June 20 to July 4, 2022, an online survey was conducted targeting total 218 dental hygiene students. The collected data was analyzed by using the SPSS Program Version 22.0. Results: First, in the results of analyzing differences in detailed items of self-directed learning ability according to the general characteristics, the 'students who entered the department of dental hygiene by considering their aptitude and interest' showed higher results than the 'students who entered the department by considering their high school record'. Second, when the academic efficacy, study immersion, and problem-solving ability of dental hygiene students were higher, their self-directed learning ability was also high. Third, the factor that had the greatest effect on self-directed learning ability of dental hygiene students was problem-solving ability, which was followed by academic efficacy and study immersion. Conclusion: Putting together the results above, in order to cultivate the problem-solving ability of dental hygiene students, it would be necessary to operate the problem-solving-centered simulation course that could foster critical thinking, interactions with others, and creative approach and solution to problems in dental medical site. It would be also possible to improve their academic efficacy by applying the learning mentoring & one-to-one learning counseling program, and also strengthening proper feedbacks for learners. Moreover, the study immersion could be strengthened by developing and operating the emotion-based learning motivation program & learning coaching program through the process of verifying the potential and growth needs of learners, exploring one's own resources through learning diagnosis/introspection, and exploring the career-related vision for strengthening the learning motivation, which could have positive effects on the improvement of self-directed learning ability.
This study was conducted to reduce the phenomenon of biased cultivation and to pursue the diversification of mushroom items. We focused on developing Sparassis latifolia varieties with a short cultivation period, stable pinheading, and a high yield. We have collected and determined the characteristics of genetic resources domestically and abroad since 2016. We bred the unique domestic variety, "Hanyeoul" and the results of this study are as follows. The optimal temperatures for mycelial growth and fruit body growth were 22~25℃ and 19~21℃, respectively. The color of the pileus was pale-yellowish white, which was similar to the color of the control variety, "Neoul". The number of days required for cultivation was 125 for bottle cultivation and 98~102 for bag cultivation, which was shorter than the number of days required for the control variety. Bottle cultivation took 39 days shorter for the new variety than the control variety. The fruiting body of the new variety was similar in size or larger than that of the control variety. The pinheading rate was more than 90% in bottle cultivation and bag cultivation, which was more stable than pinheading in the control variety. The yield was 79.1 g/bottle (1,100 cc) for bottle cultivation, which was 22.6% higher than the yield of the control variety, and 641.1~689.5 g/bag (2.6 kg) for bag cultivation, which 5.8~10.4% higher than yield of the control variety.
Achievement at university is recognized in a comprehensive sense as the level of qualitative change and development that students have embodied as a result of their experience in university education. Therefore, the academic achievement of university students will be given meaning in cooperation with the historical and social demands for diverse human resources such as creativity, leadership, and global ability, but it is practically an indicator of the outcome of university education. Measurement of academic achievement by such credits involves many problems, but in particular, standardization of academic achievement by credits based on evaluation methods, contents, and university rankings is a very difficult problem. In this study, we present a model that uses machine learning techniques to predict whether or not academic achievement is excellent for D-University graduates. The variables used were analyzed using up to 96 personal information and bachelor's information such as graduation year, department number, department name, etc., but when establishing a future education course, only the data after enrollment works effectively. Therefore, the items to be analyzed are limited to the recommended ability to improve the academic achievement of the department/student. In this research, we implemented an academic achievement prediction model through analysis of core abilities that reflect the philosophy, goals, human resources image, and utilized machine learning to affect the impact of the introduction of the prediction model on academic achievement. We plan to apply the results of future research to the establishment of curriculum and student guidance conducted in the department to establish a basis for improving academic achievement.
Se-Hyeok Lee;Changuk Mun;Sangki Park;Jeong-Rae Cho;Junho Song
Journal of the Computational Structural Engineering Institute of Korea
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v.36
no.4
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pp.273-282
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2023
Probabilistic safety assessment (PSA) has been widely used to evaluate the seismic risk of nuclear power plants (NPPs). However, studies on seismic PSA for process plants, such as gas plants, oil refineries, and chemical plants, have been scarce. This is because the major disasters to which these process plants are vulnerable include explosions, fires, and release (or dispersion) of toxic chemicals. However, seismic PSA is essential for the plants located in regions with significant earthquake risks. Seismic PSA entails probabilistic seismic hazard analysis (PSHA), event tree analysis (ETA), fault tree analysis (FTA), and fragility analysis for the structures and essential equipment items. Among those analyses, ETA can depict the accident sequence for core damage, which is the worst disaster and top event concerning NPPs. However, there is no general top event with regard to process plants. Therefore, PSA cannot be directly applied to process plants. Moreover, there is a paucity of studies on developing fragility curves for various equipment. This paper introduces PSA for gas plants based on FTA, which is then transformed into Bayesian network, that is, a probabilistic graph model that can aid risk-informed decision-making. Finally, the proposed method is applied to a gas plant, and several decision-making cases are demonstrated.
The global outbreak of COVID-19 has underscored the pressing need for robust infection control practices in pulmonary function laboratories (PFL). However, the existing guidelines and regulatory frameworks provided by relevant authorities in the country have revealed certain deficiencies in effectively addressing this significant public health crisis. This study surveyed the infection control regulations, disposable item usage, ventilation facilities, spatial separation, and the configuration of entrance doors in 51 domestic hospital facilities from Oct 1, 2021, to Nov 2, 2021. The survey findings revealed that while there was a relatively satisfactory adherence to airborne, droplet, and contact precautions with adequate awareness and utilization of personal protective equipment, the environmental disinfection practices exhibited a suboptimal performance rate of 39.22% per patient. Depending on the specific survey domains, substantial variations were observed in the utilization of disposable items (81.05%), ventilation systems (45.75%), dedicated testing spaces (80.39%), separation of administrative areas (15.69%), and the installation of automated doors (19.61%). This study not only highlights the paramount importance of infection control in PFLs within domestic medical institutions but also provides foundational data for developing and enhancing standardized guidelines that align with international benchmarks for infection control in these settings.
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