• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.152-161
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• 2023

Modern people live a life connected with the real world and the virtual world by relying on the new media of enterprises and social consumption led by innovative technologies. In this environment, virtual influencers actively communicate with consumers and build relationships through social media, which is a new marketing tool that has attracted widespread attention. From a business perspective, it is necessary to have a solid understanding of this phenomenon, and then explore communication strategies to effectively develop virtual influencers. To investigate followers' preference for virtual influencers, this study employs the Q-method, which studies human subjective attributes, an empirical research effort to uncover complex issues in human subjectivity. To determine the factors that trigger people's voluntary and active practice and the preference degree of virtual influencers, the Q method is implemented to examine human subjectivity, thoughts and attitudes. According to the results of this study, virtual influencers are a new group of idols full of vitality. The interviews found that there are still many virtual influencers who do not know about followers, but each type can be clearly understood through the intuitive understanding of the interviewees. Divided out, type 1 one egoideal virtual influencers aim to represent an idealized version of the creator or target audience. Embodies ideal physical characteristics, personality or lifestyle desired by the audience. Type 2 is charismatic and attractive, and has the characteristics of most virtual influencers. It is suggested that it can be developed into a potential type, doing brand cooperation, and content production on social media platforms. Type 3: Game animation, derived from the image of characters in games or comics, with stylized features and energetic personalities, which can be integrated into games or entertainment experiences. Type 4 development potential type is the most successful type among virtual imagers, and it is also the purpose of marketing virtual influencers. It is essential that brand endorsement on social media platforms, integrated marketing, and driving advertising traffic. It is recommended to improve production technology to reduce investment costs.

• Journal of the Society of Disaster Information
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• v.19 no.4
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• pp.844-850
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• 2023

Purpose: This paper is about the development of a short-circuit protection power supply device using incandescent bulbs and its application for educational materials. This article, which considers electrical safety and energy conservation at the same time, has many kinds of potential applications for both educational and industrial areas. The above mentioned short-circuit protection power supply device using incandescent bulbs enhances safety and efficiency compared to normal current power supply devices. Additionally, as an educational materials, it can be used for electric safety training, and provides practical electrical safety knowledge on our actual life. Method: Using incandescent bulbs, design new type of short-circuit protection power supply device, and through verifying the function and safety of the device, make new type device, and applying it for an educational tool. Conclusion: This study is to develop new type of power supply device, and verify the possibility of the application for the device as an educational materials. Through this research, show an innovative solution, which contribute to electrical safety and energy conservation, and open the potential possibility on educational and industrial sectors.This kind of research is expected to contributes to enhanced research, and education on electrical safety and energy conservation management.

• Korean Journal of Radiology
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• v.25 no.3
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• pp.224-242
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• 2024

The emergence of Chat Generative Pre-trained Transformer (ChatGPT), a chatbot developed by OpenAI, has garnered interest in the application of generative artificial intelligence (AI) models in the medical field. This review summarizes different generative AI models and their potential applications in the field of medicine and explores the evolving landscape of Generative Adversarial Networks and diffusion models since the introduction of generative AI models. These models have made valuable contributions to the field of radiology. Furthermore, this review also explores the significance of synthetic data in addressing privacy concerns and augmenting data diversity and quality within the medical domain, in addition to emphasizing the role of inversion in the investigation of generative models and outlining an approach to replicate this process. We provide an overview of Large Language Models, such as GPTs and bidirectional encoder representations (BERTs), that focus on prominent representatives and discuss recent initiatives involving language-vision models in radiology, including innovative large language and vision assistant for biomedicine (LLaVa-Med), to illustrate their practical application. This comprehensive review offers insights into the wide-ranging applications of generative AI models in clinical research and emphasizes their transformative potential.

• Korean Journal of Clinical Laboratory Science
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• v.56 no.1
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• pp.1-9
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• 2024

Exosomes are nano-sized membrane-bound extracellular vesicles containing various biological molecules, such as nucleic acids, proteins, and lipids, which can be used to modulate physiological processes. The exosomal molecules secreted by cells can be extensively used as tools for diagnosis and therapy. Exosomes carry specific molecules released by the cells they originate from, which can be transferred to surrounding cells or tissues by the exosome. For these reasons, exosomes can be exploited as biomarkers for diagnosis, carriers for drug delivery, as well as therapeutics. In stem cell technology, exosomes have been an attractive option because they can be used as safer therapeutic agents for stem cell-based cell-free therapy. Recently, studies have demonstrated the safety and efficacy of mesenchymal stem cell-derived exosomes in alleviating symptoms associated with coronavirus disease 2019 as they have anti-inflammatory and immunomodulatory potential. Performing multiple studies on exosomes would provide innovative next-generation options for clinical diagnostics and therapy. This review summarizes the use of exosomes focusing on their diverse roles. In addition, the potential of exosomes is illustrated with a focus on how exosomes can be exploited as powerful tools in the days to come.

• Biomolecules & Therapeutics
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• v.32 no.3
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• pp.267-280
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• 2024

Apoptosis, programmed cell death pathway, is a vital physiological mechanism that ensures cellular homeostasis and overall cellular well-being. In the context of cancer, where evasion of apoptosis is a hallmark, the overexpression of anti-apoptotic proteins like Bcl2, Bcl-xL and Mcl-1 has been documented. Consequently, these proteins have emerged as promising targets for therapeutic interventions. The BCL-2 protein family is central to apoptosis and plays a significant importance in determining cellular fate serving as a critical determinant in this biological process. This review offers a comprehensive exploration of the BCL-2 protein family, emphasizing its dual nature. Specifically, certain members of this family promote cell survival (known as anti-apoptotic proteins), while others are involved in facilitating cell death (referred to as pro-apoptotic and BH3-only proteins). The potential of directly targeting these proteins is examined, particularly due to their involvement in conferring resistance to traditional cancer therapies. The effectiveness of such targeting strategies is also discussed, considering the tumor's propensity for anti-apoptotic pathways. Furthermore, the review highlights emerging research on combination therapies, where BCL-2 inhibitors are used synergistically with other treatments to enhance therapeutic outcomes. By understanding and manipulating the BCL-2 family and its associated pathways, we open doors to innovative and more effective cancer treatments, offering hope for resistant and aggressive cases.

• Convergence Security Journal
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• v.24 no.3
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• pp.33-39
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• 2024

The remarkable advancement of artificial intelligence technology is bringing innovative changes to the field of education. In particular, generative AI models like ChatGPT hold great potential in self-directed programming education due to their natural conversational abilities. This study analyzed the learning effects of using ChatGPT in Scratch classes for non-SW majors. Dividing the classes into those using ChatGPT and those not, and conducting the same evaluations and surveys for the ChatGPT-utilizing group, the results showed that ChatGPT significantly enhanced learning outcomes and the utility of ChatGPT was highly evaluated in advanced learning areas such as understanding Scratch's advanced features and algorithms. This study is significant as it empirically demonstrates the potential of generative AI like ChatGPT as an effective tool in programming education.

• Journal of the Korea Fashion and Costume Design Association
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• v.26 no.3
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• pp.13-33
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• 2024

This study aims to analyze the potential and limitations of using traditional men's suits as upcycled materials by examining case studies of deconstructed and reassembled designs. The research explores the potential of upcycled suit design and proposes data to guide future directions in upcycling. A literature review was conducted, revealing that upcycled designs are often created through deconstruction, within the framework of Jacques Derrida's deconstructionist philosophy. The study examined 10 brands that focused on suit-based upcycled designs across two or more seasons, resulting in 202 upcycled suit products for analysis to identify key design characteristics. Upcycle suits have been shown to be disordered decentralized properties through deformation, discontinuity through deformation, and damage through reconstruction of existing suits. First, deformation was expressed in the design of a typical dressing, asymmetry, overlap, distortion, and repetition. Second, deformation mainly appeared as a method of omission, heterogeneous insertion, material conversion, and separation. Third, damage appeared as a doodle, tear, and incomplete up-cycle design method. Using these methods, three decentralized upcycle suit designs were developed, and a new direction of upcycle design was suggested. The study concludes that upcycled suit design can contribute to sustainable fashion by achieving zero waste, developing refined sewing techniques, pursuing diverse design methods, and promoting transparency in production. This research offers insights into innovative and diverse product development through the reinterpretation of discarded suits.

• International conference on construction engineering and project management
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• 2024.07a
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• pp.152-159
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• 2024

Cracks in structural materials present a critical challenge to infrastructure safety and long-term durability. Timely and precise crack detection is essential for proactive maintenance and the prevention of catastrophic structural failures. This study introduces an innovative approach to tackle this issue using U-Net deep learning architecture. The primary objective of the intended research is to explore the potential of U-Net in enhancing the precision and efficiency of crack detection across various concrete crack detection under various environmental conditions. Commencing with the assembling by a comprehensive dataset featuring diverse images of concrete cracks, optimizing crack visibility and facilitating feature extraction through advanced image processing techniques. A wide range of concrete crack images were collected and used advanced techniques to enhance their visibility. The U-Net model, well recognized for its proficiency in image segmentation tasks, is implemented to achieve precise segmentation and localization of concrete cracks. In terms of accuracy, our research attests to a substantial advancement in automated of 95% across all tested concrete materials, surpassing traditional manual inspection methods. The accuracy extends to detecting cracks of varying sizes, orientations, and challenging lighting conditions, underlining the systems robustness and reliability. The reliability of the proposed model is measured using performance metrics such as, precision(93%), Recall(96%), and F1-score(94%). For validation, the model was tested on a different set of data and confirmed an accuracy of 94%. The results shows that the system consistently performs well, even with different concrete types and lighting conditions. With real-time monitoring capabilities, the system ensures the prompt detection of cracks as they emerge, holding significant potential for reducing risks associated with structural damage and achieving substantial cost savings.

• Management & Information Systems Review
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• v.17
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• pp.289-313
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• 2005

Electronic commerce is giving rise to many new and innovative 'gest business practices,' such as telecommuting and the virtual workplace. Telecommuting and the virtual workplace go hand in hand. Today, more then 35 million people in the United States telecommute, and that expected to grow by 20 percent over the next several years. And more then 30 million people used internet shopping mall every years in Korea. Therefore, using the internet and information technology, electronic commerce has the potential to propel a company to 'break out' of existing strategic constraints and radically alter business processes, strengthen customer and supplier ties, and open up new markets. The object of this study is the investigation method for activity solution of electronic commerce of fashion cloth shopping mall in korea. The study has investigated 2 cases about 'halfclub.com' in Korea and 'bluefly.com' in America in the research. Therefore, the study founded the 3problems of electronic commerce at fashion cloth shopping mall in korea and suggested that the activation policies of electronic commerce. The result of suggested that the new electronic commerce style, a lot of contents affects positive effects on the performance of fashion cloth shopping mall in Korea and hope that will be expect new role of electronic commerce to be the herb in fashion cloth shopping mall in korea.

• Journal of the Earthquake Engineering Society of Korea
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• v.24 no.2
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• pp.111-119
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• 2020

Recently, some of the most destructive earthquakes have occurred in South Korea since earthquake observations began in 1978. In particular, the soil liquefactions have been reported in Pohang as a result of the ML 5.4 earthquake that occurred in November 2017. Liquefaction-induced ground deformations can cause significant damage to a wide range of buildings and infrastructures. Therefore, it is necessary to take practical steps to ensure safety during an earthquake. In the current seismic design in South Korea, the Hachinohe earthquake and Ofunato earthquake recorded in Japan, along with artificial earthquakes, have been generally used for input motions in dynamic analyses. However, such strong ground motions are only from Japan, and artificial earthquake ground motions are different from real ground motions. In this study, seven ground motions are selected, including those recorded in South Korea, while others are compatible to the current design spectra of South Korea. The effects of the newly selected ground motions on site response analyses and liquefaction analyses are evaluated.