• Maxillofacial Plastic and Reconstructive Surgery
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• v.42
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• pp.25.1-25.13
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• 2020

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes serious acute respiratory diseases including pneumonia and bronchitis with approximately 2.3% fatality occurrence. Main body: This study argues the main concepts that need to be considered for the gradual reopening of dental offices include treatment planning approaches, fundamental elements needed to prevent transmission of SARS-CoV-2 virus in dental healthcare settings, personal protection equipment (PPE) for dental health care providers, environmental measures, adjunctive measures, and rapid point of care tests in dental offices. Conclusion: This article seeks to provide an overview of existing scientific evidence to suggest a guideline for reopening dental offices.

• Journal of the Semiconductor & Display Technology
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• v.20 no.4
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• pp.130-133
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• 2021

Recently, as the expansion of the metaverse accelerated due to the spread of the non-face-to-face trend after the COVID-19 pandemic, various metaverse platforms using it have appeared. In this study, we propose research and development of a virtual reality spatial psychological counseling service platform utilizing the advantages of metaverse. A counseling service platform was developed through virtual reality hardware including Unity 3D game engine and Head Mounted Display. Counseling participants create and participate in their own avatars, and counseling facilitators respond to the situation and environment of the counseling target in various virtual environments. It was attempted to improve the efficiency of the counseling service by allowing the space and counselor avatar to be selected. Furthermore, various interactions were implemented, and development was carried out so that it could be extended and utilized for social activities such as group counseling and general meetings and presentations. In the future, through additional research and development, we will prove the practical effectiveness of the psychological counseling service platform developed by conducting clinical trials under the support of psychological counseling experts and participation in actual counseling.

• Journal of Fashion Business
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• v.25 no.6
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• pp.81-101
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• 2021

Traditional department stores have been struggling to attract customers for several years. Many retail stores have closed in recent years, even before the COVID-19 pandemic. The reinvention of in-store shopping value and experience is imperative to attract customers and reinvigorate retail business. The purpose of this study was to discover which in-store components can improve customer experiences and loyalty while also identifying dissatisfaction issues in consumer experiences in department stores. The data was collected from two consumer groups-luxury department store (Selfridges) customers and mid-market department store (Debenhams) customers-to identify the types of value and experiences they seek most often. The findings showed that to enhance their store patronage, Debenhams should reposition their brand image in a way that allows customers to connect with their self-image and lifestyle by improving efficiency and convenience and prioritizing the utilitarian and social value types. By contrast, Selfridges should enhancetheir store atmosphere, visual merchandising and sensory experiences by maximizing slow retailing experiences and emphasizing the aspirational self-concept image for symbolic and hedonic value. This research uncovered the existence of numerous overlappingvalue dimensions, each of which contributed to the enhancement of the others. Several young customers expressed their support for ecologically responsible, cost-effective second-hand luxury products. Instead of focusing merely on conventional value dimensions, department retailers should determine how environmental and ethical objectives can be fulfilled. This study explained how department stores can craft their in-store environments to appeal to their customers' preferred value types to ensure success in a competitive market.

• Journal of Korea Multimedia Society
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• v.25 no.5
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• pp.721-729
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• 2022

The pandemic of COVID-19 has led "E-commerce+ Live streaming", the new form of retail business, development rapidly. And more and more consumers choose to buy commodities in E-commerce live streaming. According to the related investigation at home and abroad, the purchase intention and WOM intention are two important measuring factors of the effect of the direct transmission of e-commerce. In previous research, the author proved that IWOM has become an important reference for consumers to make online purchases. In this study, the author mainly focus on the impact of online WOM on consumer intention. Based on the Involvement Theory, this paper proposes a model of the influence of IWOM on WOM intention in e-commerce live broadcast which is adjusted by the product involvement degree. The results show that the characteristics of anchor, the quantity and quality of IWOM, the prescription of IWOM, the difference of IWOM and the intention of WOM are positively regulated by the product involvement. However, product involvement did not play a moderating role between relationship strength and WOM intention.

• Fourth Industrial Review
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• v.3 no.1
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• pp.1-12
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• 2023

Purpose - In Korea, where 64% of the land is forested, mountaineering is a leisure activity enjoyed by the majority of the people. As new technologies named the 4th industrial revolution spread more after the Covid-19 pandemic, we propose a human and technology convergence curriculum for mountaineering and trekking education to enjoy safety in the field of mountaineering and trekking using cutting-edge technology. Research design, data, and methodology - After examining the current state of the mountaineering industry and preceding studies on mountaineering and camping, and learning about BAC the 100 famous mountains, mountaineering gamification, and Gamification We designed an AI convergence curriculum using. Result - Understanding the topography and characteristics of mountains in Korea, acquiring mountaineering information through AI convergence, selecting mountaineering equipment suitable for the season, terrain, and weather, setting educational goals to safely climb, and deriving term project results. A total of 15 A curricula for teaching was proposed. Conclusion - Artificial intelligence technology is applied to the field of mountaineering and trekking and used as a tool, and it is expected that the base of mountaineering will be expanded through safe, efficient, fun, and sustainable education. Through this study, it is expected that the AI convergence education curriculum for mountaineering and trekking will be developed and advanced through several studies.

• Journal of the Korean Society for Industrial and Applied Mathematics
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• v.26 no.4
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• pp.280-295
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• 2022

This paper contains an introduction to industrial problems, solutions, and results conducted with the Korea Association of Machinery Industry. The client company commissioned the problem of upgrading the method of identifying global supply risky items. Accordingly, the factors affecting the supply and demand of imported items in the global supply chain were identified and the method of selecting risky items was studied and delivered. Through research and discussions with the client companies, it is confirmed that the most suitable factors for identifying global supply risky items are 'import size', 'import dependence', and 'trend abnormality'. The meaning of each indicator is introduced, and risky items are selected using export/import data until October 2022. Through this paper, it is expected that countries and companies will be able to identify global supply risky items in advance and prepare for risks in the new normal situation: the economic situation caused by infectious diseases such as the COVID-19 pandemic; and the export/import regulation due to geopolitical problems. The client company will include in his report, the method presented in this paper and the risky items selected by the method.

• Journal of Distribution Science
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• v.21 no.3
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• pp.71-82
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• 2023

Purpose: This study examines the distribution of income diversification in improving the financial sustainability of private universities amidst difficulties in operational funding during the Covid-19 pandemic with IT Capability moderation. Research design, data and methodology: Closed survey aimed at 468 financial sector leaders from 189 private universities in ten provinces in Indonesia. Results: All income diversification activity variables have a significant positive effect on financial sustainability. In the analysis of liquidity indicators, there are two activities that have a significant positive effect, namely goods and services (β=0.337) and profitable financial management (β=0.124). Furthermore, the results of the solvency indicator test obtained significant positive results in Goods and Services Activities (β=0.337), Commercial Intellectuals (β=0.161), Commercial Contracts (β=0.103), and Profitable Financial Management (β=0.147). The results of the test of higher education growth indicators on three activities have a significant positive effect, namely Goods and Services (β = 0.290), Endowments (β = 0.158), and Commercial Contracts (β = 0.134). The results of the moderation test conclude that IT Capability strengthens the effect of income diversification on financial sustainability. Conclusion: The results of the study as a recommendation for private universities in developing income diversification with information system technology-based management.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.319-331
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• 2022

The latest global COVID-19 pandemic has made the use of facial masks an important aspect of our lives. People are advised to cover their faces in public spaces to discourage illness from spreading. Using these face masks posed a significant concern about the exactness of the face identification method used to search and unlock telephones at the school/office. Many companies have already built the requisite data in-house to incorporate such a scheme, using face recognition as an authentication. Unfortunately, veiled faces hinder the detection and acknowledgment of these facial identity schemes and seek to invalidate the internal data collection. Biometric systems that use the face as authentication cause problems with detection or recognition (face or persons). In this research, a novel model has been developed to detect and recognize faces and persons for authentication using scale invariant features (SIFT) for the whole segmented face with an efficient local binary texture features (DLBP) in region of eyes in the masked face. The Fuzzy C means is utilized to segment the image. These mixed features are trained significantly in a convolution neural network (CNN) model. The main advantage of this model is that can detect and recognizing faces by assigning weights to the selected features aimed to grant or provoke permissions with high accuracy.

• Smart Media Journal
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• v.11 no.6
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• pp.9-17
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• 2022

In the COVID-19 pandemic era, non-contact services were demanded and the use of extended reality and metaverse services increased rapidly in various applications. In this paper, we analyze Gather.town, ifland, Roblox, and ZEPETO metaverse platforms in terms of user interaction, avatar-based interaction, and virtual world authoring. Especially, we distinguish interactions among user input techniques that occur in the real world, avatar representation techniques to represent users in the virtual world, and interaction types that create a virtual world through user participation. Based on this work, we highlight the current trends and needs of human-metaverse interaction and forecast future opportunities and research directions.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.143-152
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• 2022

The purpose of this paper is to investigate the impact of several factors on students' decisions to attend a public institution in Vietnam's North Central area. The enrollment issue toward regional institutions is particularly critical in the Vietnam Ministry of Education and Training reforming the university enrollment process and the complicated scenario of the Covid-19 pandemic. A total of 500 students were surveyed for research samples. Data is synthesized, validated, cleaned, and analyzed using SPSS and AMOS software using methods including reliability, EFA, CFA, and SEM. The findings suggest that the proposed independent components (individual factors, study fees, advertisement, infrastructure and facilities, local features, and lastly, training activities) have a beneficial impact on students' decision to attend a public university in the North Central region. The study also found that the graduation exam outcome had a moderating effect on the relationship between registration and students' decisions. These imply targeted solutions for regional public universities to diversify training majors, improve training quality, capitalize on local advantages, increase interaction, and promote training programs and image to be more effective in attracting students and maintaining competition in the current enrollment environment.