• Fisheries and Aquatic Sciences
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• v.26 no.10
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• pp.617-627
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• 2023

Harvest control rules have been recently developed for some fisheries in Indonesia, including grouper fisheries, and are expected to reverse the trend of declining stocks. One of the proposed options of the harvest control rules is to implement the catch size limit. The catch size limit approach, however, is challenging, unless it is supported also with strong fisheries surveillance, law enforcement, and innovation. The catch size limit approach can be done by implementing changes in fishing methods and gear, including the application of different hook sizes in the hook and line fishing gear. This study examines the impact of different hook sizes on the length at first capture (Lc) and on the bell-shaped maximum selectivity using various selectivity models of the two targeted grouper species (Plectropomus leopardus and Plectropomus maculatus) in the Saleh bay, West Nusa Tenggara, Indonesia. We found that increasing hook size influences the grouper's catch size, increasing the Lc and the bell-shaped maximum selectivity of both species. Based on our findings, hook size can be used as one of the practical tools for grouper management measures, as part of harvest control rules to improve grouper stock in Indonesia.

• Journal of Radiation Industry
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• v.17 no.1
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• pp.45-59
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• 2023

The transport calculation for a wide variety of radionuclides contained in high-level radioactive waste, especially spent nuclear fuel, is computationally difficult, and input data collection for this also take a considerable amount of time. Accordingly, considering limited resources, it is possible to reduce the calculation time while minimizing impact on accuracy by including only radionuclides important to calculation result through applying some criteria among potential radiation source terms that may release into environment. In this paper, therefore, we reviewed and analyzed the screening process performed to select radionuclides to be considered in the safety assessment for the KBS-3 type repository in Sweden and Finland. In both countries, it was confirmed that a list of radionuclides was selected by comprehensively considering screening criteria such as radioactivity inventory, half-life, radiotoxicity, risk quotient, and transport properties, and etc. A comparison of radionuclides included in the radiological safety assessment in both countries suggests that most of nuclides are considered in common, and a few nuclides considered only in one country are due to differences in decay chain treatment or spent fuel types. As of now, since most of information on the disposal facility in Korea has not been determined, it is necessary to comprehensively model release and transport of all radionuclides considered in Sweden and Finland when performing the radiological safety assessment. Based on these results, we derived the screening concept of selecting a list of radionuclides to be considered in the radiological safety assessment for the domestic KBS-3 type geological disposal facility, and this result is expected to be used as technical basis for confirming conformity with the safety objective. In a more detailed evaluation reflecting domestic characteristics in the future, it would be desirable to consider only radionuclides selected in accordance with the screening procedure. However, further research should be conducted to determine the quantitative limit for each criteria.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.87-100
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• 2024

Modern logistics significantly influences the globalization and internationalization processes. Logistics systems are becoming increasingly important in today's rapidly changing environment. On the other hand, the development of global economic integration, business globalization contributes to the creation and development of international logistics systems and global supply chains towards the international market. The aim of the article was to investigate the national logistics systems of developing countries in the context of their integration capabilities. The main methods used in this study are statistical analysis, index, graphical and analytical methods, methods for estimating structural dynamic shifts, comparisons. Commonly used methods of economic research, as well as statistical analysis and interstate comparisons, economic modelling (trend analysis to determine the forecast level of LPI for Ukraine), etc. were also involved. It is noted that the problem of development of logistics systems in developing countries was insufficiently covered in scientific research. The study suggests that the integration capabilities of national logistics systems are determined by the logistics performance of each country and the favourable logistics environment for integration transformations. This allowed analysing the state of the logistics systems of Poland, Bulgaria, India and Ukraine, and identifying the factors that determine it. The logistics environment of Poland, Bulgaria, India and Ukraine, as well as the factors of its formation are evaluated. The components of the logistic portrait of the country in the context of integration capabilities of the logistic system are offered. Trend analysis of LPI was carried out on the example of Ukraine, which showed positive trends in the logistics system and allowed drawing conclusions about increasing integration into international logistics channels based on its geopolitical location, improving the characteristics of the logistics environment, including customs regulation, and improving the efficiency of the national logistics system. Prospects for further research involve studies of the impact of pandemics, globalization, digitalization on logistics systems, including that of developing countries.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.107-112
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• 2024

One More Pumpkin won the grand prize at the 2023 Dubai International AI Film Festival, and new possibilities were also opened through the International AI and Metaverse Film Festival (GAMFF), which was held for the first time in Korea. Generative works began to stand out in earnest, with 527 diverse works from 42 countries at home and abroad using AI and metaverse technology submitted to this contest. AI is being used in a variety of fields, including the creation and implementation of digital characters through combination with VFX, improving the efficiency of video production, and managing the overall video production process. This contributes to saving human and material resources required for production and significantly improving the quality of produced videos. However, generative AI also has ambiguity in copyright attribution, ethical issues inherent in the learned dataset, and technical limitations that fall short of the level of human emotion and creativity. Accordingly, this study suggests implications at the level of production, screening, and use, as generative AI may have an impact in more areas in the future.

• Clinical Endoscopy
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• v.55 no.5
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• pp.637-644
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• 2022

Background/Aims: Endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) is integral to the diagnosis of gastrointestinal (GI) subepithelial tumors (SETs). The impact of different EUS-FNB tissue sampling techniques on specimen adequacy and diagnostic accuracy in SETs has not been fully evaluated. This study aimed to compare the diagnostic outcomes of slow-pull (SP) and standard suction (SS) in patients with GI SETs. Methods: In this retrospective comparative study, 54 patients were enrolled. Medical records were reviewed for location and size of the target lesion, FNB needle type/size, technical order, specimen adequacy, diagnostic yield, and adverse events. The acquisition rate of adequate specimens and diagnostic accuracy were compared according to EUS-FNB techniques. Results: The mean lesion size was 42.6±36.4 mm, and most patients were diagnosed with GI stromal tumor (75.9%). The overall diagnostic accuracies of the SP and SS techniques were 83.3% and 81.5%, respectively (p=0.800). The rates of obtaining adequate core tissue were 79.6% and 75.9%, respectively (p=0.799). No significant clinical factors affected the rate of obtaining adequate core tissue, including lesion location and size, FNB needle size, and final diagnosis. Conclusions: SP and SS had comparable diagnostic accuracies and adequate core tissue acquisition for GI SETs via EUS-FNB.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.495-499
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• 2024

This article summarizes the importance, definition, key strategies and future directions of sustainable packaging design.In modern society, sustainable packaging design is not only concerned with environmental protection and resource conservation, but also involves economic, social and cultural sustainable development.This paper explores strategies to reduce environmental burden and promote ecological balance by using environmentally friendly materials, optimizing packaging design, improving packaging recyclability and reuse. In addition, the article emphasizes the importance of design innovation, such as adopting a simplified design concept and modular system, as well as increasing the versatility of packaging.It also explores the application of life cycle assessment in packaging design to ensure that every step from design to disposal minimizes environmental impact. Finally, despite the environmental and social benefits that sustainable packaging design brings, it still faces technical, economic and regulatory challenges in practice.Future design will require interdisciplinary collaboration, integration of advanced technologies, consumer education and engagement, and enhanced policy and standard-setting to promote widespread adoption and practice of sustainable packaging.

• Journal of Science Education
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• v.48 no.2
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• pp.101-110
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• 2024

This study compares two analogical models employed in the instruction of cosmic expansion to assess their impact on the comprehension of middle and high school students. Among the most frequently used models, the balloon model, in which the surface of a balloon represents the Universe, and the bread model, in which the bread itself symbolizes the Universe, were chosen. Using the balloon model, students are required to conceptualize the 2-dimensional surface as representing a higher-dimensional space. Using the bread model, students need to visualize the Universe as the interior of the bread prior to slicing it. For middle school students who had not yet studied cosmic expansion, the balloon model proved more effective in conveying the fundamental scientific concept that the expanding Universe has no center. High school students, who were already familiar with the concept of expansion without a center from previous lessons, found it easier to map the analogy onto the target using the bread model. Based on these results, we conclude that employing multiple models is necessary to complement any single analogy, given its inherent limitations.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.269-277
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• 2024

This study aims to explore the key factors for the systematic development and activation of a MyData-based platform for SW·AI education and training programs recently initiated by the government. To achieve this, a research model based on the Value-based Adoption Model (VAM) was established, and a survey was conducted with 178 participants who had experience in SW·AI education and training programs. The research model was validated using confirmatory factor analysis and Partial Least Squares Structural Equation Modeling (PLS-SEM). The main findings of the study are as follows: First, transparency and self-determination significantly influenced perceived benefits, while technical effort and security significantly influenced perceived risks. Second, perceived benefits positively affected the intention to use the platform, whereas perceived risks did not show a significant impact. Based on these results, this study suggests implications for the systematic development and activation of a MyData-based platform in the field of SW·AI education and training.

• Safety and Health at Work
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• v.15 no.3
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• pp.317-326
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• 2024

Background: Dust generated during various wood-related activities, such as cutting, sanding, or processing wood materials, can pose significant health and environmental risks due to its potential to cause respiratory problems and contribute to air pollution. Understanding the factors influencing dust emission is important for devising effective mitigation strategies, ensuring a safer working environment, and minimizing environmental impact. This study focuses on developing an artificial neural network (ANN) model to predict dust emission values in the machining of black poplar (Populus nigra L.), oriental beech (Fagus orientalis L.), and medium-density fiberboards. Methods: The multilayer feed-forward ANN model is developed using a customized application built with MATLAB code. The inputs to the ANN model include material type, cutting width, number of blades, and cutting depth, whereas the output is the dust emission. Model performance is assessed through graphical and statistical comparisons. Results: The results reveal that the developed ANN model can provide adequate predictions for dust emission with an acceptable level of accuracy. Through the implementation of the ANN model, the study predicts intermediate dust emission values for different cutting widths and cutting depths, which are not considered in the experimental work. It is observed that dust emission tends to decrease with reductions in cutting width and cutting depth. Conclusion: This study introduces an alternative approach to optimize machining-process conditions for minimizing dust emissions. The findings of this research will assist industries in obtaining dust emission values without the need for additional experimental activities, thereby reducing experimental time and costs.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.1279-1279
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• 2024

Managing investments in renewable energy (RE) in developing countries is essential for reducing environmental pollution, meeting the growing energy demand, and avoiding the risk of stranded assets. Establishing Public-Private Partnerships (PPPs) is necessary to address budgetary and technical issues in developing countries. PPPs recover investments through long-term operations. Risks from external political, social, and economic environments during both the construction and operational phases of PPP projects affect the stability of investment recovery. Although various support systems are in place to mitigate investment risks for investors, these systems can pose risks to the public sector. Therefore, this study identifies common risks, including construction and operational risks, as well as political, financial, and social risks, for sustainable renewable energy PPP operations. Interpretive Structural Modeling (ISM) and MICMAC (Matrix Impact Cross-Reference Multiplication Applied to a Classification) analyses were conducted to understand the interrelationships among these risks. The ISM and MICMAC analysis results showed that construction phase risks have high dependence power and driving power. In contrast, operational phase risks exhibit low driving power but high dependence power. This indicates that managing construction phase risks is effective for the sustainable operation of renewable energy PPPs. Based on the analyzed ISM and MICMAC results, preventive measures for sustainable operations of renewable energy PPPs were proposed.