• Information Systems Review
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• v.25 no.4
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• pp.1-25
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• 2023

The online fitness industry has experienced rapid growth in recent years, overcoming physical constraints of conventional fitness programs. The COVID-19 pandemic accelerated the trend as social distancing policies were implemented. However, as financial distress of offline gyms worsened, the Korean government implemented the "With-COVID19" policy, which lifted most of the restrictions and regulations on offline gyms, on November 1st, 2021, raising concerns about the loss of drivers for the growth of the online fitness industry. Using regression discontinuity design in time (RDDiT), this study investigates the causal effect of the "With-COVID19" policy on the viewer engagement of online fitness content. Contrary to expectations that viewer engagement would decrease, it increased by 21%. Additionally, subgroup analysis based on opportunity cost reveals heterogeneity, and the high-cost group experienced a greater increase of 32% compared to low-cost group. Based on these findings, the study provides possible mechanisms of the increase, theoretical contributions on using RDDiT in the Information Systems, and practical implications for guidelines on managing online fitness platforms and content in the era of digital transformation.

• Journal of Environmental Health Sciences
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• v.50 no.1
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• pp.6-15
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• 2024

Background: People's activities have been restricted due to the COVID-19 pandemic. These changes in activity patterns may lead to a decrease in fine particulate matter (PM_2.5) concentrations. Additionally, the level of population exposure to PM_2.5 may be changed. Objectives: This study aimed to analyze the impact of population movement and meteorological factors on the distribution of PM_2.5 concentrations before and after the outbreak of COVID-19. Methods: The study area was Guro-gu in Seoul. The research period was selected as January to March 2020, a period of significant population movement changes caused by COVID-19. The evaluation of the dynamic population was conducted by calculating the absolute difference in population numbers between consecutive hours and comparing them to determine the daily average. Ambient PM_2.5 concentrations were estimated for each grid using ordinary kriging in Python. For the population exposure assessment, the population-weighted average concentration was calculated by determining the indoor to outdoor population for each grid and applying the indoor to outdoor ratio to the ambient PM_2.5 concentration. To assess the factors influencing changes in the ambient PM_2.5 concentration, a statistical analysis was conducted, incorporating population mobility and meteorological factors. Results: Through statistical analysis, the correlation between ambient PM_2.5 concentration and population movement was positive on both weekends and weekdays (r=0.71, r=0.266). The results confirmed that most of the relationships were positive, suggesting that a decrease in human activity can lead to a decrease in PM_2.5 concentrations. In addition, when population-weighted concentration averages were calculated and the exposure level of the population group was compared before and after the COVID-19 outbreak, the proportion of people exceeding the air quality standard decreased by approximately 15.5%. Conclusions: Human activities can impact ambient concentrations of PM_2.5, potentially altering the levels of PM_2.5 exposure in the population.

• Journal of Arbitration Studies
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• v.31 no.3
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• pp.91-107
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• 2021

The Korean Association of Arbitration Studies faces its 30th anniversary in 2020 since its foundation in 1991 and is being celebrated and congratulated across the communities in and out of the country. However, the association seems to be standing at crossroads between a negative and positive direction. As shown in the past KAAS pattern in its academic activities, the academic community tends to focus relatively more on domestic issues, expanding its domestic network rather than international network for the past years. KAAS needs to turn its face to see the other side of the world, stretching its hands to the people outside first. For this purpose, this paper suggests that KAAS should strengthen its cooperative capability through the international cooperation division. KAAS' past 30 years of accumulated know-how and its academic network will play critical roles i-n expanding its partners across the global academic community. This paper delivers special thanks to the institutions, including the LMAA, CAC, SIAC, HKIAC, RSPP/ACRU, IDAC, and LAMC who sent cooperative works and congratulatory messages to KAAS 30th anniversary despite the COVID-19 pandemic situation.

• Journal of Engineering Education Research
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• v.24 no.6
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• pp.79-85
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• 2021

In a future society where cutting-edge science technology such as artificial intelligence becomes commonplace, the demand for talented people with basic knowledge of mathematics and science is expected to increase continuously, and the educational infrastructure suitable for the characteristics of future generations is still insufficient. In particular, in the case of students taking convergence courses including practical training, there was a problem in communication with the instructor. In this study, we looked at the current status of distance learning at domestic universities that came suddenly due to the global pandemic of COVID-19. In addition, a case study of the use of technology was conducted to facilitate the interaction between instructors and learners through case analysis of distance classes in convergence subjects. Therefore, this study aims to introduce the case of developing lecture contents for smooth convergence education in a non-face-to-face educational environment targeting the developed AI convergence courses and applying them to the education of enrolled students.

• Journal of Information Technology Applications and Management
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• v.28 no.4
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• pp.33-43
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• 2021

While youth unemployment has recorded the lowest level since the global COVID-19 pandemic, SMEs(small and medium sized enterprises) are still struggling to fill vacancies. It is difficult for SMEs to find good candidates as well as for job seekers to find appropriate job offers due to information mismatch. To overcome information mismatch, this study proposes the fine-turning model for bidirectional HR matching based on a pre-learning language model called BERT(Bidirectional Encoder Representations from Transformers). The proposed model is capable to recommend job openings suitable for the applicant, or applicants appropriate for the job through sufficient pre-learning of terms including technical jargons. The results of the experiment demonstrate the superior performance of our model in terms of precision, recall, and f1-score compared to the existing content-based metric learning model. This study provides insights for developing practical models for job recommendations and offers suggestions for future research.

• Clinical and Experimental Pediatrics
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• v.64 no.7
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• pp.328-338
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• 2021

Humanity has been suffering from the global severe acute respiratory syndrome coronavirus 2 pandemic that began late in 2019. In 2020, for the first time in history, new vaccine platforms-including mRNA vaccines and viral vector-based DNA vaccines-have been given emergency use authorization, leading to mass vaccinations. The purpose of this article is to review the currently most widely used coronavirus disease 2019 vaccines, investigate their immunogenicity and efficacy data, and analyze the vaccine safety profiles that have been published, to date.

• Journal of Engineering Education Research
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• v.24 no.5
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• pp.53-64
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• 2021

The purpose of this study is to provide implications for designing and implementing non-face-to-face online classes at the College of Engineering in the post-corona era by analyzing the instructors' evaluations and experiences of non-face-to-face online classes operated in the COVID-19 pandemic. According to the overall evaluation results of non-face-to-face online classes from instructors at the College of Engineering, 'instructional design' was the highest among the five areas including instructional design, learning management, learning support, learning evaluation, and instructional outcomes. In addition, the effectiveness of non-face-to-face online experimental or practical classes was found to be relatively low. The results of this study imply that the instructors need to consider several instructional strategies such as active interaction with learners, clear explanation, and the use of technology in non-face-to-face online engineering classes.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1263-1266
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• 2021

The global Covid-19 pandemic has been accelerating the transition to the digital environment that enables providing consistent services without being affected by physical location or various circumstances. The Metaverse might be the representative realization reflecting this trend. In this paper, we introduce the potential core stacks consisting of the Metaverse framework in brief and explain why the open Metaverse framework is an adequate and reasonable design choice to support diverse platforms and multiple instances of the virtual world. Since the development of the open Metaverse framework is indeed in a very early stage, achieving technical completeness in each building block of the open Metaverse is crucial. Considering the expansion and spread of the Metaverse in the future, intensive standardization studies on the open Metaverse framework are exigent and indispensable.

• Food Science and Industry
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• v.54 no.3
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• pp.171-183
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• 2021

Tofu has been consumed as source of protein in Asia for hundreds of years and it was first known in US and Europe by Asian immigrants during 1900s. Lately it is being spotlighted for excellent plant-based protein that has nutritional value. Tofu has long been the most widely used ingredients in Asia and it has been developed into various forms such as tofu, yuba, fried tofu, tofu sheet, fermented tofu and more according to food culture. With development of equipment, coagulant, packaging and pasteurization, now we can have advanced flavor, productivity and distribution of tofu. Tofu has been brought to customer's attention, people who prefer more health oriented, sustainable and eco-friendly food during COVID-19 pandemic season. Furthermore, this global trend is expected to be continued. In response to the trend we need more study on new texture of tofu, substitution of meat, dairy, and various commercialization of HMR in future.

• Safety and Health at Work
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• v.11 no.4
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• pp.533-536
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• 2020

Strengthening of the health system is a safety imperative, especially in a crisis as caused by the ongoing COVID-19 pandemic. While there is a need for enhancing the number and skill sets of the public health professionals, especially the frontline workers, it will be prudent to use the digital health technologies, including artificial intelligence, in enhancing the capacity of the healthcare professional education and delivery. However, it has to be ensured that an ethical and safe approach is adopted to develop and use digital health technology and, ethically appropriate training is imparted, to enhance the capacity of the human resources for health, leading to an overall health system strengthening.