• Journal of the Korean Applied Science and Technology
• /
• v.38 no.6
• /
• pp.1393-1404
• /
• 2021

The current study was conducted to understand the status of infection management through a survey on the status of awareness and performance of infection management and to improve efficient infection management and education programs of workers in long-term care institutions. The subjects of the study were 134 workers at 35 long-term care institutions in the C region, and data were collected from July 12 to 30, 2021. They agree to participate in research self reported structured questionnaire by SPSS program ver. 22.0. As a result of the study, the subject's awareness of infection management appeared to be a difference in accordance with occupation (F=3.181, p=.032) and education experience (F=6.372, p=.013). Also, factors influencing the subject's performance of infection management were occupation (F=3.972, p=.010) and education experience (F=4.403, p=.038). The relationship between awareness of infection management and performance resilience fined out a significantly positive correlation (r=.919, p<.001). As a result, for patient safety in long-term care institutions in the COVID-19 pandemic situation, it is very important for workers not only to recognize the importance of infection management but also to directly perform infection management activities. To this end, regardless of the size of the institution, it is necessary to prepare a systematic and continuous curriculum by occupation and educational topic, and to legally strengthen the evaluation system to improve the quality of the infection management system.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.36 no.4
• /
• pp.130-137
• /
• 2022

Due to the coronavirus disease 2019 (COVID-19) pandemic, appropriate management of sequelae and treatment of infectious symptoms became increasingly important healthcare issues. Although the practice guidelines and treatment cases based on the East Asian traditional medicine have been reported, there are rare studies on the use of Korean medicine in Korea. Therefore, this study aimed to present the progress of non-contact Korean medical treatment for infected patients at a local public health center using retrospective chart review. A total of 18 patients were prescribed with 5 days of herbal decoction and medicine extract covered by the national health insurance. With the questionnaire form, the progression and improvement of symptoms before and after treatment were evaluated using the numerical rating scale (NRS), and the treatment satisfaction and opinions were obtained. The symptoms such as cough (5.56±2.23 to 2.89±2.14), sputum (6.11±1,75 to 3.28±2.47), sore throat (6.06±2.70 to 1.47±1.62), anorexia (5.56±2.63 to 1.94±2.21), nausea (3.75±1.71 to 1.17±1.11), diarrhea (3.40±2.63 to 1.50±1.51), chest tightness (4.93±2.46 to 2.29±2.30) and fatigue (6.44±1.79 to 2.67±1.88) all improved according to the NRS, and the satisfaction with herbal medicine treatment on a 5-point Likert scale was 4.24±0.90. No side effects and adverse reactions were reported. Thereupon non-contact Korean medical treatment can be concluded that it effectively reduces the COVID-19 infection mild symptoms in restrictive extent. Since the retrospective data does not include a control group, the more confirmative data is needed by multicenter and large-scale controlled clinical study afterwards.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.5
• /
• pp.445-451
• /
• 2022

This study was conducted to confirm the differences in nursing process competence, critical thinking disposition, and education satisfaction between clinical practicum and school practicum in the prolonged COVID19 pandemic. As an inequality control post-hoc design study, 55 students who agreed to participate in the study among the third year of nursing college students who took adult nursing practice were targeted. Data were collected by classifying the students who participated in the school practicum into the experimental group(N=29) and the students who participated in the clinical practicum into the control group(N=26). The collected data were analyzed using SPSS/WIN 22.0 program. As a result of the study, there was no significant difference in nursing process competence and critical thinking disposition between the two groups. However, in the control group, overall satisfaction with education (t=-9.82, p=.040) and recommendations to other students (t=-1.88, p<.001) were found to be significantly higher. Although it was not possible to confirm the difference between the effects of clinical practicum and school practicum as a result of the study, the significance of the study could be found in that there was no difference. In line with the post-corona era, future research on the development of a practicum program consisting of various contents, teaching methods, and practice to achieve the goal of practicum and analysis of the effectiveness of the program is suggested.

• Journal of Internet Computing and Services
• /
• v.24 no.1
• /
• pp.71-86
• /
• 2023

The purpose of this exploratory study is to compare the differences in public perceptual characteristics of Korean and Chinese societies regarding the metaverse using big data analysis. Due to the environmental impact of the COVID-19 pandemic, technological progress, and the expansion of new consumer bases such as generation Z and Alpha, the world's interest in the metaverse is drawing attention, and related academic studies have been also in full swing from 2021. In particular, Korea and China have emerged as major leading countries in the metaverse industry. It is a timely research question to discover the difference in social awareness using big data accumulated in both countries at a time when the amount of mentions on the metaverse has skyrocketed. The analysis technique identifies the importance of key words by analyzing word frequency, N-gram, and TF-IDF of clean data through text mining analysis, and analyzes the density and centrality of semantic networks to determine the strength of connection between words and their semantic relevance. Python 3.9 Anaconda data science platform 3 and Textom 6 versions were used, and UCINET 6.759 analysis and visualization were performed for semantic network analysis and structural CONCOR analysis. As a result, four blocks, each of which are similar word groups, were driven. These blocks represent different perspectives that reflect the types of social perceptions of the metaverse in both countries. Studies on the metaverse are increasing, but studies on comparative research approaches between countries from a cross-cultural aspect have not yet been conducted. At this point, as a preceding study, this study will be able to provide theoretical grounds and meaningful insights to future studies.

• Journal of Service Research and Studies
• /
• v.10 no.4
• /
• pp.57-70
• /
• 2020

Globally, cloud service is a core infrastructure that improves industrial productivity and accelerates innovation through convergence and integration with various industries, and it is expected to continuously expand the market size and spread to all industries. In particular, due to the global pandemic caused by COVID-19, the introduction of cloud services was an opportunity to be recognized as a core infrastructure to cope with the untact era. However, it is still at the preliminary stage for market expansion of cloud service in Korea. This paper aims to empirically analyze how cloud services can be accepted by users by each industry through extended Technology Acceptance Model(TAM), and what factors influence the acceptance and avoidance of cloud services to users. For this purpose, the impact and factors on the acceptance intention of cloud services were analyzed through the hypothesis test through the proposed extended technology acceptance model. The industrial sector selected four industrial sectors of education, finance, manufacturing and health care and derived factors by examining the parameters of TAM, key characteristics of the cloud and other factors. As a result of the empirical analysis, differences were found in the factors that influence the intention to accept cloud services for each of the four industry sectors, which means that there is a difference in perception of the introduction or use of cloud services by industry sector. Eventually it is expected that this study will not only help to understand the intention of using cloud services by industry, but also help cloud service providers expand and provide cloud services to each industry.

• Journal of Music and Human Behavior
• /
• v.20 no.1
• /
• pp.99-115
• /
• 2023

Given the ongoing discussion regarding remote music therapy following the COVID-19 pandemic and the pivotal role of parental involvement in it, this study investigated parents' perceptions on their roles in a synchronous videoconferencing music therapy for their children with developmental disabilities. A total of 32 participants participated in an online survey comprising 68 questions. Descriptive statistics summarized the collected responses, and Pearson's correlation was conducted to examine the relationship between perceived parental roles, psychological burden, and willingness to participate in future remote music therapy. The findings showed that parents of children with developmental disabilities acknowledged the benefits of tele-music therapy and possessed substantial information about its implementation. Furthermore, they reported their roles of providing physical, participatory, and mediating support. As parents exhibited greater satisfaction with their role in supporting their children's participation or managing their off-task behaviors, they perceived reduced psychological burden. These findings hold significant implications for expansion of tele-music therapy strategies to address the unique needs of children with developmental disabilities and support their parents as immediate mediators for their children.

• Journal of Korea Society of Industrial Information Systems
• /
• v.28 no.4
• /
• pp.59-76
• /
• 2023

This study examines critical issues and topics related to services using YouTube videos and research publications. We analyzed 2,853 YouTube videos and 19,973 research papers related to services, released during the 2013-June, 2023 period, using text mining and network analysis. In addition, the collected data was divided into pre- and post-COVID-19 pandemic periods to explore how key issues and topics regarding services have changed. These papers were sequentially analyzed through text mining and network construction and procedures. The results indicate that the central themes of YouTube videos were IT, data, and solution, while academic research focused on service quality, quality, and customer satisfaction. Regarding ego network analysis, the key issues in YouTube video contents revolved primarily around words related to the service industry. Although it was found that they generally lacked specific industry fields, academic papers explored diverse issues in various service fields. The results of this study can be utilized to understand changes in customer concerns in the service industry from practical and academic perspectives.

• Advanced Industrial SCIence
• /
• v.2 no.3
• /
• pp.22-28
• /
• 2023

In this study, we conducted research on the automated trading of U.S. stocks through a volatility strategy using the Fear and Greed index. Volatility in the stock market is a common phenomenon that can lead to fluctuations in stock prices. Investors can capitalize on this volatility by implementing a strategy based on it, involving the buying and selling of stocks based on their expected level of volatility. The goal of this thesis is to investigate the effectiveness of the volatility strategy in generating profits in the stock market.This study employs a quantitative research methodology using secondary data from the stock market. The dataset comprises daily stock prices and daily volatility measures for the S&P 500 index stocks. Over a five-year period spanning from 2016 to 2020, the stocks were listed on the New York Stock Exchange (NYSE). The strategy involves purchasing stocks from the low volatility group and selling stocks from the high volatility group. The results indicate that the volatility strategy yields positive returns, with an average annual return of 9.2%, compared to the benchmark return of 7.5% for the sample period. Furthermore, the findings demonstrate that the strategy outperforms the benchmark return in four out of the five years within the sample period. Particularly noteworthy is the strategy's performance during periods of high market volatility, such as the COVID-19 pandemic in 2020, where it generated a return of 14.6%, as opposed to the benchmark return of 5.5%.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2022.05a
• /
• pp.41-43
• /
• 2022

In order to prevent and block infectious diseases caused by the recent COVID-19 pandemic, non-contact biometric information acquisition and analysis technology is attracting attention. The invasive and attached biometric information acquisition method accurately has the advantage of measuring biometric information, but has a risk of increasing contagious diseases due to the close contact. To solve these problems, the non-contact method of extracting biometric information such as human fingerprints, faces, iris, veins, voice, and signatures with automated devices is increasing in various industries as data processing speed increases and recognition accuracy increases. However, although the accuracy of the non-contact biometric data acquisition technology is improved, the non-contact method is greatly influenced by the surrounding environment of the object to be measured, which is resulting in distortion of measurement information and poor accuracy. In this paper, we propose a context-based bio-signal modeling technique for the interpretation of personalized information (image, signal, etc.) for bio-information analysis. Context-based biometric information modeling techniques present a model that considers contextual and user information in biometric information measurement in order to improve performance. The proposed model analyzes signal information based on the feature probability distribution through context-based signal analysis that can maximize the predicted value probability.

• Knowledge Management Research
• /
• v.24 no.2
• /
• pp.27-48
• /
• 2023

The COVID-19 pandemic has highlighted the importance of firm resilience, particularly for small and medium-sized enterprises (SMEs). This study aimed to investigate the concept of SME resilience, the role of entrepreneurial orientation in enhancing firm resilience, and the impact of top management networking capability on this relationship. The study defined firm resilience as consisting of adaptation capacity and recovery capacity and conducted a survey of 187 domestic SMEs for empirical verification. The findings indicate that entrepreneurial orientation is a critical factor in enhancing firm resilience. Furthermore, the networking capability of top management may also contribute to firm resilience, but it weakens the relationship between entrepreneurial orientation and firm resilience as a moderating variable. In crisis situations, SMEs tend to rely more strongly on existing networks, rather than engaging in new network to acquire new resources, information, and knowledge, which can hinder their ability to adapt and recover. This study contributes to the further development and understanding of SME resilience, which is essential for enterprises to overcome crises and return to pre-shock levels.