• Title/Summary/Keyword: COVID-19

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A Case Report of Patient Suffering from Cough and Dyspnea after Lung Transplantation Treated with Complex Korean Medicine (기침 및 호흡곤란을 호소하는 폐 이식 환자의 복합 한방 치험 1례)

  • Seyeon Lee;Kibeom Ku;Mariah Kim;Irang Nam;Minhwa Kim;Changwoo Han;In Lee;Jinwoo Hong;Jungnam Kwon;Soyeon Kim;Youngju Yun;Sojung Park;Junyong Choi
    • The Journal of Internal Korean Medicine
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    • v.44 no.5
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    • pp.1101-1108
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    • 2023
  • We report the case of a lung transplantation patient whose cough and dyspnea symptoms improved after receiving complex Korean medicine treatment. Lung transplantation provides a solution to many end-stage patients with lung disease who are refractory to conventional treatment, but the five-year survival rate of lung transplantation remains around 50%, and even surviving patients suffer from side effects, including infection, respiratory difficulty, and gastrointestinal problems. A 66-year-old woman with rheumatoid arthritis-interstitial lung disease was advised to undergo lung transplantation surgery when she suffered from dyspnea and failing respiratory symptoms after being diagnosed with COVID-19 and contracting pneumonia. Approximately five months after receiving a bilateral lung transplantation operation, she experienced acute pulmonary thromboembolism, and even after receiving anticoagulation therapy, she still struggled with cough and respiratory difficulty. After she received complex Korean medicine treatments, including herbal medicine, cupping therapy, and electrical moxibustion, we observed a decrease in inflammation, alleviation of symptoms such as cough and dyspnea, and improvement of pulmonary function and exercise capacity.

Study on Social Media Use and Sociodemographic and Personality Factors in the Post-COVID-19 (포스트 코로나 시대 소셜 미디어 이용과 인구사회학적 및 성격 요인에 관한 연구)

  • Yesolran Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.209-215
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    • 2023
  • The untact environment brought about by the global pandemic has emerged as a new driving force for the matured social media market. In the post-coronavirus era, there arises a pivotal need for foundational data to reconfigure the operations and utilization strategies of social media. Using data from the 2022 Korean Media Panel Survey, this study compared sociodemographic and personality factors between social media non-users and users, and examined how these factors influenced social media usage time. The findings indicate differences between social media non-users and users in terms of gender, age, education level, income level, employment status, marital status, openness to experience, conscientiousness, extraversion, and neuroticism. Usage time of social media is influenced by gender, age, income level, employment status, conscientiousness, and agreeableness. These results are anticipated to enhance the understanding of users and their usage behaviors for stakeholders in the social media market as they confront a potential second leap forward.

Diabetes Detection and Forecasting using Machine Learning Approaches: Current State-of-the-art

  • Alwalid Alhashem;Aiman Abdulbaset ;Faisal Almudarra ;Hazzaa Alshareef ;Mshari Alqasoumi ;Atta-ur Rahman ;Maqsood Mahmud
    • International Journal of Computer Science & Network Security
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    • v.23 no.10
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    • pp.199-208
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    • 2023
  • The emergence of COVID-19 virus has shaken almost every aspect of human life including but not limited to social, financial, and economic changes. One of the most significant impacts was obviously healthcare. Now though the pandemic has been over, its aftereffects are still there. Among them, a prominent one is people lifestyle. Work from home, enhanced screen time, limited mobility and walking habits, junk food, lack of sleep etc. are several factors that have still been affecting human health. Consequently, diseases like diabetes, high blood pressure, anxiety etc. have been emerging at a speed never witnessed before and it mainly includes the people at young age. The situation demands an early prediction, detection, and warning system to alert the people at risk. AI and Machine learning has been investigated tremendously for solving the problems in almost every aspect of human life, especially healthcare and results are promising. This study focuses on reviewing the machine learning based approaches conducted in detection and prediction of diabetes especially during and post pandemic era. That will help find a research gap and significance of the study especially for the researchers and scholars in the same field.

Eco-Friendly Behavior of the Disposable Cup Deposit System: Focusing on Shadow Work, Perceived Efficacy, Environmental Consciousness, and Eco-guilt (일회용 컵 보증금 제도의 친환경행동: 그림자노동, 지각된 효능감, 환경의식, 에코 죄책감을 중심으로)

  • Zheng Yizhe;Joon Koh
    • Journal of Information Technology Services
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    • v.22 no.5
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    • pp.31-49
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    • 2023
  • Due to the outbreak of the COVID-19, self-service technology is widely used in Korea, and demand for disposable cups is increasing significantly. Waste and recycling of disposable cups have become a social concern for Koreans and Korea implemented the "Disposable Cup Deposit Systems" again in December 2022. Whether the emergence of this system can change the way people behave in environmental protection is a question to be examined in this study. Companies participating in the disposable cup deposit system are hoping that customers will actively recover cups through self-service in the process of collecting disposable cups. The government, along with businesses, transfers recovery work to customers through self-service technologies and schemes. Due to the increase in Shadow Work and the strengthening of consumer environmental protection consciousness, this paper focuses on how unmanned service types such as self-service technology can affect people's environmental protection behavior. An empirical analysis with 477 samples examined how the characteristics of shadow work, perceived efficacy, environmental awareness, and ecological guilt affect user's environmental protection behavior. Perceived efficacy that acts as a mediator and ecological guilt that plays as a moderator are investigated. Although there have been many studies on the effects of shadow work on customer behavioral intentions before, it has been very rare to study the effects of shadow work perceived by people on environmental behavioral intentions from an environmental protection perspective. This study shows that the higher the perceived efficacy of consumers, the more people prefer self-service technology and the stronger the environmental protection behavior. Also, consumers' ecological guilt significantly moderates the relationship between environmental consciousness and eco-friendly behavior. It is expected that companies and governments will be able to understand the impact of shadow work on consumers' environmental protection behavior and further promote environmental protection by appropriate policies and marketing strategies.

Distribution of Skill and Encouraging Motivation to Enhance Resilience: Evidence from Accounting Personnel During COVID-19 Crisis

  • Yamuna Rani PALANIMALLY;Mohd Danial Afiq Khamar TAZILAH;Zam Zuriyati MOHAMAD;Meenah RAMASAMY;Mohamad Rohieszan RAMDAN;Dayang Rafidah SYARIFF M. FUAD;Noral Hidayah ALWI
    • Journal of Distribution Science
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    • v.22 no.2
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    • pp.41-50
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    • 2024
  • Purpose: This study aims to identify the distribution of skill evolution for accounting personnel during the health crisis and investigate the impact of accounting skills in developing resilience among accounting personnel. Research design, data, and methodology: A total of 131 respondents of accounting personnel participated in a self-administered survey questionnaire. This data is analysed using the partial least square structural equation modeling. Results: The results show that accounting skills, digital skills, and writing skills have a significant impact on developing accounting personnel's motivation, subsequently leading to resilience. Conclusions: This study adds to the literature on the new requirements and future profiles of Malaysian organisation and the accounting profession. This will be a good reference for the practitioners to identify the relevant skills required for accountants after the pandemic. Furthermore, this study includes encouraging motivation and skills to improve resilience in the Malaysian context further to understand the push factors on skills evolution among the accountants. Higher education institutions with accounting courses would consider the potential future skills of accountants to meet market demands on time when updating the institutions' curricula program. Hence, the relevant skills required can be developed and practiced at the education level, especially secondary and tertiary levels.

A Study on the Usability of Digital Humans in New Media Contents

  • Jihan Kim;Jeanhun Chung
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.300-305
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    • 2023
  • This thesis is a study of content development utilizing media outlets to date through digital humans. The trend of global content is that the video content industry, including the character business, is growing. Lil Michela, who was selected as one of the 25 most influential people on the Internet by Time magazine in 2018, Nasua, who appeared in a SK Telecom commercial, and Rosie, who appeared in a Shinhan Bank commercial, are representative. Digital humans, which are driving new content, are computer-generated human characters with various characteristics and are referred to as virtual humans, metahumans, and cyber humans. With the rise of the metaverse after COVID-19, digital humans are being utilized in various forms such as media and marketing as an element of visual content. In the form of media, we can see that the boundaries between the offline and digital worlds are converging, and in the form of marketing, we can see that digital humans connect consumers and products more naturally. In the form of interaction, it is possible to achieve two-way communication through various methods of operation, and through these factors, it is possible to go beyond behavioral communication in the form of memorialization to emotional communication through AI technology. What can be seen through these processes is that through the currently developing digital human production methods and AI functions, not only experts but also non-experts can create quality contents, and new directions of contents will appear, and contents that can provide immediate feedback by bringing consumers and creators closer together have been studied.

Re-Engineering of Educational Contexts in the Digital Transformation of Socio-Economic Interactions of Society

  • Tsekhmister Yaroslav;Tetiana Konovalova;Tsekhmister Bogdan
    • International Journal of Computer Science & Network Security
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    • v.24 no.3
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    • pp.135-141
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    • 2024
  • The article examines the key constants of reengineering the modern educational cluster, associated with the processes of digital transformation of all spheres of modern socio-cultural space. The first constant is the strategic rethinking of the educational process organization and awareness of the new roles of all participants (tutors, applicants, controlling elements, etc.). The other constant involves practical re-design of the system of educational services, which consists in the reorientation from the traditional model of education functioning for society to the implementation of the educational format in the form of new projects (structural, target, business). Consequently, the purpose of the study is to highlight the attitudes relevant to the modern realities of information and technological support of education in the context of socio-economic interactions of society. The criteria for the reengineering of educational concepts and the structural organization of the educational sphere are defined. The modern world is going through a period of complete digital transformation of all spheres of public activity. The scientific intelligence notes that education is no exception in these processes, as the dependence of educational realities on information and computer technologies is now noted. The COVID-19 pandemic, for all its tragedy, was also a kind of trigger, clearly marking the new components that have become defined in the organization of the educational process. The conclusion is made that the use of digital technologies in the organization of the educational institution or in the organization of the educational process has become not an auxiliary element, but a dominant factor. Mobility, dynamism, interdisciplinarity, synergy - all these aspects are relevant for socio-economic interactions of society and should be provided by educational programs. The results of the study can be used in the reorganization processes of educational institutions and institutions. Further research requires aspects of the analysis of the foreign experience of reengineering in education, carried out taking into account digital transformations of modern sociocultural space.

Electrochemical Detection of Hydroxychloroquine Sulphate Drug using CuO/GO Nanocomposite Modified Carbon Paste Electrode and its Photocatalytic Degradation

  • G. S. Shaila;Dinesh Patil;Naeemakhtar Momin;J. Manjanna
    • Journal of the Korean Electrochemical Society
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    • v.27 no.1
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    • pp.15-31
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    • 2024
  • The antimalarial drug hydroxychloroquine sulphate (HCQ) has taken much attention during the first COVID-19 pandemic phase for the treatment of severe acute respiratory infection (SARI) patients. Hence it is interest to study the electrochemical properties and photocatalytic degradation of the HCQ drug. Copper oxide (CuO) nanoparticles, graphene oxide (GO) and CuO/GO NC (nanocomposite) modified carbon paste electrodes (MCPE) are used for the detection of HCQ in an aqueous medium. Electrochemical behaviour of HCQ (20 μM) was observed using CuO/MCPE, GO/MCPE and CuO/GO NC/MCPE in 0.1 M phosphate buffer at pH 7 with a scan rate of 20 to 120 mV s-1 by cyclic voltammetry (CV). Differential pulse voltammetry (DPV) of HCQ was performed for 0.6 to 16 μM HCQ. The CuO/GO NC/MCPE showed a reasonably good sensitivity of 0.33 to 0.44 μA μM cm-2 with LOD of 69 to 92 nM for HCQ. Furthermore, the CuO/GO NC was used as a catalyst for the photodegradation of HCQ by monitoring its UV-Vis absorption spectra. About 98% was degraded in about 34 min under visible light and after 4 cycles it was 87%. The improved photocatalytic activity may be attributed to decrease in bandgap energy and enhanced ability for the electrons to migrate. Thus, CuO/GO NC showed good results for both sensing and degradation applications as well as reproducibility.

Cynomolgus Macaque Model for COVID-19 Delta Variant

  • Seung Ho Baek;Hanseul Oh;Bon-Sang Koo;Green Kim;Eun-Ha Hwang;Hoyin Jung;You Jung An;Jae-Hak Park;Jung Joo Hong
    • IMMUNE NETWORK
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    • v.22 no.6
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    • pp.48.1-48.13
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    • 2022
  • With the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants, which are randomly mutated, the dominant strains in regions are changing globally. The development of preclinical animal models is imperative to validate vaccines and therapeutics against SARS-CoV-2 variants. The objective of this study was to develop a non-human primate (NHP) model for SARS-CoV-2 Delta variant infection. Cynomolgus macaques infected with Delta variants showed infectious viruses and viral RNA in the upper (nasal and throat) and lower respiratory (lung) tracts during the acute phase of infection. After 3 days of infection, lesions consistent with diffuse alveolar damage were observed in the lungs. For cellular immune responses, all macaques displayed transient lymphopenia and neutrophilia in the early stages of infection. SARS-CoV-2 Delta variant spike protein-specific IgM, IgG, and IgA levels were significantly increased in the plasma of these animals 14 days after infection. This new NHP Delta variant infection model can be used for comparative analysis of the difference in severity between SARS-CoV-2 variants of concern and may be useful in the efficacy evaluation of vaccines and universal therapeutic drugs for mutations.

Factors Influencing Sexual Experiences in Adolescents Using a Random Forest Model: Secondary Data Analysis of the 2019~2021 Korea Youth Risk Behavior Web-based Survey Data (랜덤 포레스트 모델을 활용한 국내 청소년 성경험 영향요인 분석 연구: 2019~2021년 청소년건강행태조사 데이터)

  • Yang, Yoonseok;Kwon, Ju Won;Yang, Youngran
    • Journal of Korean Academy of Nursing
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    • v.54 no.2
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    • pp.193-210
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    • 2024
  • Purpose: The objective of this study was to develop a predictive model for the sexual experiences of adolescents using the random forest method and to identify the "variable importance." Methods: The study utilized data from the 2019 to 2021 Korea Youth Risk Behavior Web-based Survey, which included 86,595 man and 80,504 woman participants. The number of independent variables stood at 44. SPSS was used to conduct Rao-Scott χ2 tests and complex sample t-tests. Modeling was performed using the random forest algorithm in Python. Performance evaluation of each model included assessments of precision, recall, F1-score, receiver operating characteristics curve, and area under the curve calculations derived from the confusion matrix. Results: The prevalence of sexual experiences initially decreased during the COVID-19 pandemic, but later increased. "Variable importance" for predicting sexual experiences, ranked in the top six, included week and weekday sedentary time and internet usage time, followed by ease of cigarette purchase, age at first alcohol consumption, smoking initiation, breakfast consumption, and difficulty purchasing alcohol. Conclusion: Education and support programs for promoting adolescent sexual health, based on the top-ranking important variables, should be integrated with health behavior intervention programs addressing internet usage, smoking, and alcohol consumption. We recommend active utilization of the random forest analysis method to develop high-performance predictive models for effective disease prevention, treatment, and nursing care.