With the transition of archaeological recording method's transition from analog to digital, the 3D scanning technology has been actively adopted within the field. Research on the digital archaeological digital data gathered from 3D scanning and photogrammetry is continuously being conducted. However, due to cost and manpower issues, most buried cultural heritage organizations are hesitating to adopt such digital technology. This paper aims to present a digital recording method of relics utilizing open-source software and photogrammetry technology, which is believed to be the most efficient method among 3D scanning methods. The digital recording process of relics consists of three stages: acquiring a 3D model, creating a joining map with the edited 3D model, and creating an digital drawing. In order to enhance the accessibility, this method only utilizes open-source software throughout the entire process. The results of this study confirms that in terms of quantitative evaluation, the deviation of numerical measurement between the actual artifact and the 3D model was minimal. In addition, the results of quantitative quality analysis from the open-source software and the commercial software showed high similarity. However, the data processing time was overwhelmingly fast for commercial software, which is believed to be a result of high computational speed from the improved algorithm. In qualitative evaluation, some differences in mesh and texture quality occurred. In the 3D model generated by opensource software, following problems occurred: noise on the mesh surface, harsh surface of the mesh, and difficulty in confirming the production marks of relics and the expression of patterns. However, some of the open source software did generate the quality comparable to that of commercial software in quantitative and qualitative evaluations. Open-source software for editing 3D models was able to not only post-process, match, and merge the 3D model, but also scale adjustment, join surface production, and render image necessary for the actual measurement of relics. The final completed drawing was tracked by the CAD program, which is also an open-source software. In archaeological research, photogrammetry is very applicable to various processes, including excavation, writing reports, and research on numerical data from 3D models. With the breakthrough development of computer vision, the types of open-source software have been diversified and the performance has significantly improved. With the high accessibility to such digital technology, the acquisition of 3D model data in archaeology will be used as basic data for preservation and active research of cultural heritage.
Recently, with the MZ generation's entry into society and the social participation of the female population, conflicts are occurring between workplace groups that value WLB and existing groups that emphasize collaboration due to differences in work orientation. Public institutions and companies that utilize work-life balance support systems show differences in job Commitment depending on the nature of the work and the activation of the support system. Accordingly, it is necessary to verify the effectiveness of the WLB support system actually operated by the company and present universally valid standards. The purpose of this study is, first, to verify the effectiveness of the support system for work-life balance and to find practical consensus amid changes in policies and perceptions of the working environment. Second, the influence of work-life balance level and job immersion according to work characteristics was analyzed to verify the mutual influence in order to establish standards for WLB operation that reflects work characteristics. For the study, a 2X2 matrix model was used to analyze the impact of work-life balance and work characteristics on job commitment, and four hypotheses were established. First, analysis of the job involvement level of conflict-type group members, second, analysis of the job involvement level of leading group members, third, analysis of the job involvement level of agreeable group members, and fourth, analysis of the job involvement level of cooperative group members. To conduct this study, an online survey was conducted targeting employees working in public institutions and large corporations. The survey was conducted for a total of 9 days from October 23 to 31, 2023, and 163 people responded, and the analysis was based on a valid sample of 152 people, excluding 11 copies that were insincere responses or gave up midway. As a result of the study's hypothesis testing, first, the conflict type group was found to have the lowest level of job engagement at 1.43. Second, the proactive group showed the highest level of job engagement at 4.54. Third, the conformity group showed a slightly lower level of job involvement at 2.58. Fourth, the cooperative group showed a slightly higher level of job involvement at 3.80. The academic implications of the study are that it subdivides employees' personalities into factors based on the level of work-life balance and nature of work. The practical implications of the study are that it analyzes the effectiveness of WLB support systems operated by public institutions and large corporations by grouping them.
Purpose The present study aimed to investigate the frequency and extent of compensatory common bile duct (CBD) dilatation after cholecystectomy, assess the time between cholecystectomy and CBD dilatation, and identify potentially useful CT findings suggestive of obstructive CBD dilatation. Materials and Methods This retrospective study included 121 patients without biliary obstruction who underwent multiple CT scans before and after cholecystectomy at a single center between 2009 and 2011. The maximum short-axis diameters of the CBD and intrahepatic duct (IHD) were measured on each CT scan. In addition, the clinical and CT findings of 11 patients who were initially excluded from the study because of CBD stones or periampullary tumors were examined to identify distinguishing features between obstructive and non-obstructive CBD dilatation after cholecystectomy. Results The mean (standard deviation) short-axis maximum CBD diameter of 121 patients was 5.6 (± 1.9) mm in the axial plane before cholecystectomy but increased to 7.9 (± 2.6) mm after cholecystectomy (p < 0.001). Of the 106 patients with a pre-cholecystectomy axial CBD diameter of < 8 mm, 39 (36.8%) showed CBD dilatation of ≥ 8 mm after cholecystectomy. Six of the 17 patients with long-term (> 2 years) serial follow-up CT scans (35.3%) eventually showed a significant (> 1.5-fold) increase in the axial CBD diameter, all within two years after cholecystectomy. Of the 121 patients without obstruction or related symptoms, only one patient (0.1%) showed IHD dilatation > 3 mm after cholecystectomy. In contrast, all 11 patients with CBD obstruction had abdominal pain and abnormal laboratory indices, and 81.8% (9/11) had significant dilatation of the IHD and CBD. Conclusion Compensatory non-obstructive CBD dilatation commonly occurs after cholecystectomy to a similar extent as obstructive dilatation. However, the presence of relevant symptoms, significant IHD dilatation, or further CBD dilatation 2-3 years after cholecystectomy should raise suspicion of CBD obstruction.
Sang-Gu Lee;Doyoung Park;Jae Yoon Lee;Dong Sun Lim;Jae Hwa Lee
The Mathematical Education
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v.63
no.2
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pp.123-138
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2024
This study described the utilization of ChatGPT in teaching and students' learning processes for the course "Introductory Mathematics for Artificial Intelligence (Math4AI)" at 'S' University. We developed a customized ChatGPT and presented a learning model in which students supplement their knowledge of the topic at hand by utilizing this model. More specifically, first, students learn the concepts and questions of the course textbook by themselves. Then, for any question they are unsure of, students may submit any questions (keywords or open problem numbers from the textbook) to our own ChatGPT at https://math4ai.solgitmath.com/ to get help. Notably, we optimized ChatGPT and minimized inaccurate information by fully utilizing various types of data related to the subject, such as textbooks, labs, discussion records, and codes at http://matrix.skku.ac.kr/Math4AI-ChatGPT/. In this model, when students have questions while studying the textbook by themselves, they can ask mathematical concepts, keywords, theorems, examples, and problems in natural language through the ChatGPT interface. Our customized ChatGPT then provides the relevant terms, concepts, and sample answers based on previous students' discussions and/or samples of Python or R code that have been used in the discussion. Furthermore, by providing students with real-time, optimized advice based on their level, we can provide personalized education not only for the Math4AI course, but also for any other courses in college math education. The present study, which incorporates our ChatGPT model into the teaching and learning process in the course, shows promising applicability of AI technology to other college math courses (for instance, calculus, linear algebra, discrete mathematics, engineering mathematics, and basic statistics) and in K-12 math education as well as the Lifespan Learning and Continuing Education.
Hagyeong Kim;Jimin Shin;Dohyeon Jeong;Juyeong Jeong;Yongeun Kim;June Wee;Kijong Cho;Yun-Sik Lee
Korean Journal of Environmental Biology
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v.42
no.1
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pp.54-61
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2024
The ecosystem provides a diverse array of environmental conditions for organisms, and only those that are capable of successfully adapting to these conditions within their habitats can endure, thrive, and proliferate. Further, the environmental conditions within these habitats can significantly affect the bioavailability of chemicals that are introduced therein, thus resulting in varied adverse impacts on the organisms. The present study aims to evaluate the sensitivity of Yuukianura szeptyckii - a species adapted to riparian - to heavy metals following ISO guideline 11276, with the objective of assessing its potential as an indicator species for ecotoxicological evaluations in riparian habitats. The findings revealed that cadmium and copper both had significant toxic effects depending on their concentrations. For cadmium, the LC50 was 280 mg kg-1, EC50 was 66 mg kg-1, and NOEC and LOEC were 25 and 50 mg kg-1, respectively. For copper, the LC50 was 911 mg kg-1, EC50 was 151 mg kg-1, and LOEC was 50 mg kg-1. Comparative analysis with previous results for the international standard species Folsomia candida and the domestic standard species Allonychiurus kimi indicated that Y. szeptyckii exhibited even greater sensitivity to toxicity values. The adverse effects on survival and reproduction were closely associated with the influx concentration of heavy metals in their bodies. Altogether, the results suggest that Y. szeptyckii is a sensitive species for ecotoxicological assessments in riparian habitats, thus making it suitable as an indicator species, particularly in riparian ecosystems that are characterized by relatively high humidity conditions.
Since the adoption of the World Heritage Convention, sites associated with dark histories have been inscribed as World Heritage sites over the past fifty years. However, in 2018, the review of nomination dossiers for these sites was temporarily suspended to prevent additional discomfort or the conflicts these inscriptions might cause. Despite concerns raised by experts about nominations of these sites, the increasing demands from State Parties led to the adoption of the Guiding Principles for the Preparation of Nominations Concerning Sites of Memory Associated with Recent Conflicts. These Guiding Principles have made it possible to inscribe such sites as World Heritage sites. The Guiding Principles play a crucial role in outlining the nature and criteria for inscription, the components required in the nomination dossier, and mechanisms for notifying a contestation in cases of differing interpretations of the site. Their primary aim is to minimize further conflicts that may arise from the inscription of sites of memory. They affirm that such sites can contribute to achieving the objectives of the World Heritage Convention and represent a significant step in addressing heritage interpretation in the World Heritage system. The amendment of the Operational Guidelines to incorporate a contestation mechanism has arguably established a more transparent and open inscription process. However, the Guiding Principles also have limitations. Among the ten criteria set by the World Heritage Convention, sites related to conflicts or dark histories can use Criterion (vi). This criterion focuses on the site's outstanding universal value linked to historical events or associations, regardless of physical evidence. If a State Party chooses not to use Criterion (vi), the application of the Guiding Principles cannot be expected. Furthermore, while the Guiding Principles require a heritage interpretation strategy in the nomination dossier, the lack of detailed guidance may confuse nominating countries. Sites of memory associated with recent conflicts are not just places that need protection and remembrance due to their association with dark histories. They have also evolved to become spaces for reconciliation and healing. The inscription of these sites as World Heritage sites is not just a recognition of their historical significance, but also a platform for discussing the impact of past conflicts on modern society. It opens up a dialogue on how current generations can address these issues. With the adoption of the Guiding Principles, we hope that inscribed sites will not only promote reconciliation and healing but also serve as a starting point for addressing present and future challenges.
Korean Journal of Construction Engineering and Management
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v.25
no.5
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pp.32-40
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2024
In the construction industry, lack of reliability in the quality of recycled aggregates, harmful substance problems, and negative consumer perceptions limit the expansion of the use of recycled aggregates. In this respect, existing studies mainly focus on the use of recycled coarse aggregates in concrete in consideration of durability. On the other hand, in the case of recycled fine aggregates, not only are there insufficient cases applied to major structures, but the scope of application is very limited due to lack of awareness. Therefore, the main purpose of this study is to present the possibility of their application in bearing and non-bearing wall structures through physical characteristics experiments of concrete bricks for masonry according to various mixing ratios of recycled fine aggregates and cement amounts. To this end, the compressive strength and absorption rate of concrete bricks were measured focusing on the mixing ratio of the recycled fine aggregate and the crushed fine aggregate and the amount of cement. As a result, it is found that it is possible to use 100% of recycled fine aggregate for 200kg/m3 of cement or 25% of crushed fine aggregate mixed with 75% of recycled fine aggregate for the same amount of cement to achieve the compressive strength of 13MPa, witch is one of the quality requirements for concrete bricks for bearing walls. In addition, it is found that to meet the strength of 8MPa, one of the quality requirements for non-bearing walls, it is sufficient to use 100% of the recycled fine aggregate for 100kg/m3 of cement. Through the absorption rate tests, it is also confirmed that the absorption rate of the concrete brick is 13% or less by meeting the required performance criteria. This means that even if recycled fine aggregate is used in the manufacture of concrete bricks, the quality standards required by KS F 4004 (concrete bricks) can be sufficiently met.
Recently, research using deep learning technologies such as artificial intelligence, convolutional neural networks, etc. has been actively conducted in various fields including healthcare, manufacturing, autonomous driving, and security, and is having a significant influence on society. In line with this trend, the present study attempted to apply deep learning to the classification of archaeological artifacts, specifically ancient Korean roof-end tiles. Using 100 images of roof-end tiles from each of the Goguryeo, Baekje, and Silla dynasties, for a total of 300 base images, a dataset was formed and expanded to 1,200 images using data augmentation techniques. After building a model using transfer learning from the pre-trained EfficientNetB0 model and conducting five-fold cross-validation, an average training accuracy of 98.06% and validation accuracy of 97.08% were achieved. Furthermore, when model performance was evaluated with a test dataset of 240 images, it could classify the roof-end tile images from the three dynasties with a minimum accuracy of 91%. In particular, with a learning rate of 0.0001, the model exhibited the highest performance, with accuracy of 92.92%, precision of 92.96%, recall of 92.92%, and F1 score of 92.93%. This optimal result was obtained by preventing overfitting and underfitting issues using various learning rate settings and finding the optimal hyperparameters. The study's findings confirm the potential for applying deep learning technologies to the classification of Korean archaeological materials, which is significant. Additionally, it was confirmed that the existing ImageNet dataset and parameters could be positively applied to the analysis of archaeological data. This approach could lead to the creation of various models for future archaeological database accumulation, the use of artifacts in museums, and classification and organization of artifacts.
Diyah Fatimah Oktaviani;Raju Dash;Sarmin Ummey Habiba;Ho Jin Choi;Yeasmin Akter Munni;Dae-Hyun Seog;Maria Dyah Nur Meinita;Il Soo Moon
Journal of Life Science
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v.34
no.9
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pp.609-619
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2024
Neurodegenerative diseases are marked by the accumulation of toxic misfolded proteins in neurons. Therefore, strategies for the effective prevention and clearance of aggregates are crucial for therapeutic interventions. Cytoplasmic dynein plays a crucial role in the clearance of aggregates by transporting them to the cell center, where lysosomes are enriched and the aggregates undergo extensive autophagic degradation. Previously, we reported evidence for the activation of dynein by N-acetylglucosamine kinase (NAGK) and Reln. In the present study, we explored the effects of NAGK and Reln upregulation on the clearance of aggregates. To upregulate NAGK and Reln genes in HEK293T cells (a human embryonic kidney cell line), CRISPR/dCas9 activation systems (CASs) were used with specific plasmids encoding target-specific 20 nt guide RNA. The effects of this genetic modulation were analyzed in Huntington's disease cellular models, including HEK293T cells and primary mouse cortical cells, where external mutant huntingtin (mHtt, Q74) aggregates were induced. The results showed that the CAS activation of NAGK or Reln, or their combination, significantly reduced the proportion of cells with Q74 aggregates (aggresomes). This effect was reversed by Ciliobrevin D (a dynein inhibitor) and chloroquine (an autophagy inhibitor), indicating the role of dynein-mediated autophagy in aggregate clearance. These findings provide the basis for therapeutic strategies aimed at enhancing neuronal health through targeted gene activation.
Kang, Bo Kyung;Kang, Yeeun;Shin, Jeong Kyung;Park Inhee;Kim, Jeong Gyeong;Lee, Dongseop;Joung, Se Ho;Choi, Joon Hyuk;Kwon, Minsung;Kim, Yookyung;Lee, Yhe-Young
Journal of Korean Home Economics Education Association
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v.36
no.1
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pp.55-69
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2024
This study aims to present a case of implementing educational programs that integrate theory and experience, leading to practical environmental conservation practices within households, and to analyze and evaluate their effectiveness. To achieve these goals, various hands-on environmental education programs related to family life, including carbon-neutral practices, clothing, food, housing, and design, were implemented for early adulthood. Pre- and post-surveys provided by the Korea Environmental Preservation Association were utilized to assess awareness and willingness to engage in environmental conservation among participants, and consultation with an expert was conducted to understand the effectiveness of the educational programs. As a result, the findings confirmed a notable enhancement in participants' environmental consciousness and commitment to action following the program compared to pre-program levels. The results of open-ended questions showed that the content participants wanted to learn and what they actually learned in the classes were similar, validating the effectiveness of the program. The consultation results indicated that presenting various practical methods related to household life would be effective; however, there was a suggestion for the need to consider aspects such as post-practical food management and the unique characteristics of multicultural household members when developing educational programs. This educational initiative holds promise for instigating perceptible shifts in the awareness and proactive engagement of young adults across the spectrum of household dynamics, thereby contributing significantly to the establishment of sustainable living paradigms.
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