• The Journal of Information Systems
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• v.33 no.1
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• pp.115-131
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• 2024

Purpose This study aims to analyse the impact of the development of fintech and the emergence of internet primary banks due to the increasing use of smartphones on the performance of traditional local banks from both financial and non-financial perspectives. Return on equity (ROE) and return on assets (ROA) are used to assess the performance differences between the two types of banks and how these differences are affected by their financial characteristics. Design/methodology/approach Using return on equity (ROE) and return on assets (ROA) as indicators, we identified the differences in operating performance between the two types of banks. In addition, this study analysed the impact of financial characteristics on profitability through regression analysis with various control variables. We further studied the impact of non-financial characteristics (customer reviews, social media reactions, etc.) on operating performance. Findings The net interest margin ratio of local banks had a positive impact, while the marketable securities ratio of Internet primary banks had a negative impact. The non-financial analysis shows that the number of customer reviews and social media reactions have a significant impact on the performance of Internet primary banks, suggesting that customer satisfaction and positive market perception are important factors in the performance of Internet primary banks.

• Animal Bioscience
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• v.37 no.2_spc
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• pp.323-336
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• 2024

Molecular hydrogen (H₂) and formate (HCOO^-) are metabolic end products of many primary fermenters in the rumen ecosystem. Both play a vital role in fermentation where they are electron sinks for individual microbes in an anaerobic environment that lacks external electron acceptors. If H₂ and/or formate accumulate within the rumen, the ability of primary fermenters to regenerate electron carriers may be inhibited and microbial metabolism and growth disrupted. Consequently, H₂- and/or formate-consuming microbes such as methanogens and possibly homoacetogens play a key role in maintaining the metabolic efficiency of primary fermenters. There is increasing interest in identifying approaches to manipulate the rumen ecosystem for the benefit of the host and the environment. As H₂ and formate are important mediators of interspecies interactions, an understanding of their production and utilization could be a significant starting point for the development of successful interventions aimed at redirecting electron flow and reducing methane emissions. We conclude by discussing in brief ruminant methane mitigation approaches as a model to help understand the fate of H₂ and formate in the rumen ecosystem.

• Journal of the Korean Society of Radiology
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• v.82 no.1
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• pp.12-28
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• 2021

Mammography is the primary imaging modality for breast cancer detection; however, a high level of expertise is needed for its interpretation. To overcome this difficulty, artificial intelligence (AI) algorithms for breast cancer detection have recently been investigated. In this review, we describe the characteristics of AI algorithms compared to conventional computer-aided diagnosis software and share our thoughts on the best methods to develop and validate the algorithms. Additionally, several AI algorithms have introduced for triaging screening mammograms, breast density assessment, and prediction of breast cancer risk have been introduced. Finally, we emphasize the need for interest and guidance from radiologists regarding AI research in mammography, considering the possibility that AI will be introduced shortly into clinical practice.

• The Korean Journal of Food & Health Convergence
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• v.10 no.3
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• pp.1-8
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• 2024

The global nutraceuticals market continues to grow due to rising income levels, increasing life expectancy, and a growing interest in personal health. Especially after the COVID-19 pandemic, the market for nutraceuticals has expanded rapidly with positive perceptions driven by increased attention to immune management for disease prevention. However, there is still a lack of research on the relationship between nutraceuticals and consumer behavior. This study aims to provide new insights into the dietary supplement market and help establish marketing strategies by analyzing consumer behavior toward dietary supplements in the post-COVID-19 era, focusing on Generation MZ. An online survey was conducted among consumers who have purchased dietary supplement products to test the hypotheses. The collected data were analyzed for validity and reliability using SPSS and AMOS programs. The results showed that the taste, price, brand, and design of dietary supplements significantly positively affect the satisfaction of MZ consumers. This study provides an in-depth understanding of the mechanisms of consumer behavior toward dietary supplements in the post-COVID-19 era, focusing on Generation MZ. By offering insights into consumers' health concerns and consumption behaviors, this study provides valuable perspectives on the future development of the market and helps companies develop effective strategies to meet consumer needs.

• Journal of the Korean Society of Clothing and Textiles
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• v.48 no.3
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• pp.433-450
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• 2024

Through the recent pandemic, this study examined the theory of awe, which explains that external crises affect people's value systems and consequential behaviors. During the pandemic, some consumers expressed a growing interest in equity, while others pursued the consumption of materialistic items, such as luxurious fashion goods. According to the theory of awe, both of these phenomena could be coping responses to the crisis. Based on this, we attempted to understand the psychological processes behind the pandemic's effect on these two different consumers value systems thereby influencing sustainable consumption intentions: one through the new ecological paradigm (NEP) that emphasizes consumers' increased consciousness, and the other through materialism that emphasizes consumers' self-centered side. The results obtained from a survey of 382 U.S. consumers revealed that the degree of pandemic experience increased consumers' NEP and materialism, which also increased their economic and ethical CSR expectations. These CSR expectations then enhanced consumers' sustainable consumption intentions. As sustainable consumption and CSR are important agendas for the fashion industry, this study will provide useful insights for researchers and practitioners in the fashion field.

• Journal of the Korean Society of Earth Science Education
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• v.17 no.1
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• pp.60-69
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• 2024

This study conducted unstructured interviews with college students to explore changes in their perceptions before and after receiving education on exoplanets. The analysis utilized thematic analysis. The results are as follows: First, the exoplanet education program enhanced students' knowledge about exoplanets and increased their interest and curiosity about space. Second, students deepened their understanding of the importance of exoplanet exploration and the various methods of such exploration. Third, students recognized that exoplanet exploration holds significant importance for humanity in various aspects and acknowledged the need for education on exoplanets. These findings can provide important insights for the development and application of future educational programs related to exoplanets.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.37-47
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• 2024

The food tech market, which uses artificial intelligence robots for the restaurant industry, is gradually expanding. Among them, the robot barista, a representative food tech case for the restaurant industry, is characterized by increasing the efficiency of operators and providing things for visitors to see and enjoy through a 24-hour unmanned operation. This research was conducted through text mining analysis to examine trends related to robot baristas in the restaurant industry. The research results are as follows. First, keywords such as coffee, cafe, certification, ordering, taste, interest, people, robot cafe, coffee barista expert, free, course, unmanned, and wine sommelier were highly frequent. Second, time, variety, possibility, people, process, operation, service, and thought showed high closeness centrality. Third, as a result of CONCOR analysis, a total of 5 keyword clusters with high relevance to the restaurant industry were formed. In order to activate robot barista in the future, it is necessary to pay more attention to functional development that can strengthen its functions and features, as well as online promotion through various events and SNS in the robot barista cafe.

• The Research Journal of the Costume Culture
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• v.32 no.1
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• pp.86-107
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• 2024

Although interest in eco-friendly fashion products is increasing among scholars and industry leaders, the concept of eco-friendly products remains unclear, preventing consistent assessment of which fashion products are eco-friendly. This study conducted a content analysis of eco-friendly product information from 87 domestic and 102 foreign brands to reveal key standards for categorizing eco-friendly fashion products. Product characteristic information was coded according to the four material-based standards (i.e., organic material, regenerative material, alternative material, and sustainably produced/upcycled material). Consistency between coders was confirmed by Cohen's kappa. In results, eco-friendly fashion products are categorized by four material-based standards and two certification standards (i.e., certified, not certified). Among the four material-based categories, the greatest number of domestic and foreign companies produced eco-friendly products that were classified as the regenerative material group. In addition, companies acquired eco-friendly certifications related to the use of organic, regenerative, and alternative materials. The greatest number of eco-friendly material brands used for eco-friendly fashion products belonged to the regenerative material group. Based on the study results, a typology of eco-friendly products was suggested. This typology can benefit practitioners and academics by highlighting a need for classification system for the eco-friendly fashion products, as well as by providing insight into the categorization of eco-friendly fashion products.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.2
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• pp.147-155
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• 2024

Based on the recently developed deep learning technology, many studies have been conducted on deep learning networks that simultaneously detect and classify targets of interest in synthetic aperture radar(SAR) images. Although numerous research results have been derived mainly with the open SAR ship datasets, there is a lack of work carried out on the deep learning network aimed at detecting and classifying SAR ground targets and trained with the synthetic dataset generated from electromagnetic scattering simulations. In this respect, this paper presents the deep learning network trained with the synthetic dataset and applies it to detecting and classifying real SAR ground targets. With experiment results, this paper also analyzes the network performance according to the composition ratio between the real measured data and the synthetic data involved in network training. Finally, the summary and limitations are discussed to give information on the future research direction.

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.23-36
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• 2024

Interest in virtual humans continues to increase due to the development of generative AI, extended reality, computer graphics technology, and the spread of a converged metaverse that goes beyond the boundaries between reality and virtuality. Despite the negative public opinion that virtual humans were just temporary form of entertainment event in the early days of their emergence, the reason they are showing continuous growth is due to the unique characteristics of virtual humans and the expansion of diverse usage from technological advancements. The production of video content using virtual humans is becoming vigorously active, but currently there is limitation and no exact process for the technology to apply virtual humans to video content for it to be produced accordingly to the characteristics or situations of virtual humans. In this study, we investigated the characteristics of virtual human production technology methods & processes, and identifying the impact of each production technology on the production environment through examples of virtual human content applied to domestic and international video contents. In conclusion, by proposing an appropriate production method for each content, we hope to develop and assist production practitioners so they can effectively use virtual humans in video content production.