• Title/Summary/Keyword: COVID-Pandemic

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Paying Back to Good Deeds: A Text Mining Approach to Explore Don-jjul as Pro-consumption Behavior

  • Hojin Choo;Sue Hyun Lee
    • Asia Marketing Journal
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    • v.26 no.2
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    • pp.104-128
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    • 2024
  • More consumers are choosing pro-consumption for social change, but scholars know little about why and how consumers engage in pro-consumption behaviors. A newly emerged pro-consumption behavior called "Don-jjul," which appeared during the COVID-19 pandemic in South Korea, refers to compensating businesses that have engaged in altruistic actions by boosting their sales. This study used Latent Dirichlet Allocation (LDA) of topic modeling, sentiment analysis, and in-depth interviews to investigate the perceptions, motivations, and emotions regarding Don-jjul. As a result, the study revealed pro-consumers' perceptions of Don-jjul as "collective pro-consumption for contributing to social well-being." Don-jjul has two main motives: "supporting underdogs with difficulties" and "compensating good businesses economically." We also found two ambivalent emotions evoked by Don-jjul: "respect for good business owners" and "concerns regarding the misuse of Don-jjul." The results contribute to pro-consumption research for social well-being, providing business opportunities for retailers and CSR managers with a deep understanding of pro-consumers.

A study on the classification of research topics based on COVID-19 academic research using Topic modeling (토픽모델링을 활용한 COVID-19 학술 연구 기반 연구 주제 분류에 관한 연구)

  • Yoo, So-yeon;Lim, Gyoo-gun
    • Journal of Intelligence and Information Systems
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    • v.28 no.1
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    • pp.155-174
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    • 2022
  • From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (

    ) were the topic modeling results for each research topic (
    ) was found to be derived from For example, as a result of topic modeling for papers related to 'vaccine', a new topic titled Topic 05 'neutralizing antibodies' was extracted. A neutralizing antibody is an antibody that protects cells from infection when a virus enters the body, and is said to play an important role in the production of therapeutic agents and vaccine development. In addition, as a result of extracting topics from papers related to 'treatment', a new topic called Topic 05 'cytokine' was discovered. A cytokine storm is when the immune cells of our body do not defend against attacks, but attack normal cells. Hidden topics that could not be found for the entire thesis were classified according to keywords, and topic modeling was performed to find detailed topics. In this study, we proposed a method of extracting topics from a large amount of literature using the LDA algorithm and extracting similar words using the Skip-gram method that predicts the similar words as the central word among the Word2vec models. The combination of the LDA model and the Word2vec model tried to show better performance by identifying the relationship between the document and the LDA subject and the relationship between the Word2vec document. In addition, as a clustering method through PCA dimension reduction, a method for intuitively classifying documents by using the t-SNE technique to classify documents with similar themes and forming groups into a structured organization of documents was presented. In a situation where the efforts of many researchers to overcome COVID-19 cannot keep up with the rapid publication of academic papers related to COVID-19, it will reduce the precious time and effort of healthcare professionals and policy makers, and rapidly gain new insights. We hope to help you get It is also expected to be used as basic data for researchers to explore new research directions.

  • Clinical Practice Experience including Web-based Simulation Practice of Nursing Students during the COVID-19 Pandemic (코로나19 팬데믹 시기에 간호대학생의 웹 기반 시뮬레이션 실습을 포함한 임상 실습 경험)

    • Kim, Kyung Sook;Park, Ji Min
      • Journal of Convergence for Information Technology
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      • v.12 no.2
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      • pp.81-93
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      • 2022
    • The purpose of this study is to understand the meaning of clinical practice experience, including web-based simulation practice, in the context of the corona pandemic era. As for the research method, data were collected through a focus group interview on the experience of web-based simulation practice and subsequent clinical practice and analyzed by content analysis method. The contents of the two interview groups were analyzed, and the results were divided into 2 components, 7 topic groups, and 18 topics. The first component, the clinical practice, was divided into four topic groups: 'The anxious start of practice in a pandemic situation', 'Direct experience through various cases', 'Training opportunities to prepare as a future nurse', and 'The burden of performance and limited experience'. The second component, the web-based simulation practice, was divided into three topic groups: 'Unfinished nursing practice', 'Indirect experience of clinical nursing in virtual space', and 'Requirement of an integrated practice model'. Clinical practice is a very important part of the nursing education curriculum. However, the nursing that students can perform in the field is very limited. Therefore, to supplement the shortcomings of observation-oriented clinical practice and to increase the quality of practical education, it is necessary to consider a hybrid education model including web-based simulation practice.

    The Association Between Socioeconomic Changes and Adolescent Mental Health After COVID-19 Pandemic (코로나19이후 사회 경제적 변화와 청소년 정신건강의 연관성)

    • Kim, Hi-Ju;Kim, Min-Hyuk;Min, Seongho;Lee, Jinhee
      • Korean Journal of Psychosomatic Medicine
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      • v.30 no.1
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      • pp.16-21
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      • 2022
    • Objectives : The purpose of this study is to investigate depression and suicide ideation according to socioeconomic changes after COVID-19 among Korean adolescent. Methods : Data on the study population were obtained from the 16th Korea Youth Risk Behavior Web-based Survey (KYRBS). The KYRBS is a nationally representative sample of Korean adolescents (aged 12-18 years) that originally included over 103 questions in 15 domains of health-risk behaviors. In the 16th KYRBS, a total 54,948 students from 793 schools responded to the survey. Chi-square test and logistic regression analysis were conducted regarding depression and suicide ideation. Results : This study suggests that changes in the family household before and after COVID-19 pandemic are also affecting the mental health of the adolescents. The study shows that worse change of family household is significant associations with suicidal ideation and depression. Adolescents reporting worse (AOR 1.38; 95% CI 1.38-1.57) and much worse (AOR 2.07; 95% CI 1.87-2.29) were significantly more likely to report depression. Adolescents reporting worse (AOR 1.34; 95% CI 1.34-1.60) and much worse (AOR 2.01; 95% CI 1.76-2.29) were significantly more likely to report suicide ideation. Conclusions : In this study, it was confirmed that young people from socially disadvantaged backgrounds are at high risk of suicide ideation and more depression. The results of this study suggest that we should consider improving the screening and prevention of mental health problems for adolescents with poor socioeconomic changes of COVID-19.

    A Study of the Occupational Socialization of Novice English Teachers at the First Years (영어 초임교사의 교직 사회화에 관한 연구)

    • Chang, Kyungsuk;Jeon, Young-Joo
      • The Journal of the Korea Contents Association
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      • v.20 no.11
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      • pp.411-421
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      • 2020
    • There is a paucity of research on socialization of novice teachers that has been found to have influence on their career through studies in different subject fields in various regions. This study addresses how novice English teachers perceive their socialization at the first years. It aims to draw implications for novice teacher support for training and professional development. Data were obtained from a questionnaire survey. From the review of the relevant literature, six themes were identified as significant factors in novice teachers' socialization process: relationship with pupils, teaching, rapport with colleagues, support from headteachers, relationship with parents, and expectations from the society. There were 44 questions under six key factors. 99 secondary English novice teachers participated in the survey. The analysis of the gathered responses to each question reveals information on their socialization process to become a secondary English teacher including adaptation challenges for professional development, which have been neglected but are gaining more attention from different stakeholders. This is being increasingly supported in the time of the coronavirus (COIVD-19) pandemic crisis, disruption and recovery. The study is concluded with some implications for research on novice teacher induction, and teacher education policy and practice.

    A Case Study on Performance Analysis of Antimicrobial Copper Film Attaching to Window for Responding to COVID-19 and Others (코로나19 등 대응을 위한 "유리창 부착용 항바이러스 동필름" 성능분석 사례연구)

    • Kim, Seong Je
      • Journal of Korean Society of Disaster and Security
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      • v.14 no.1
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      • pp.23-40
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      • 2021
    • In the era of the global coronal 19 pandemic, there is a risk of cross-infection in hospitals at the stage where treatments and vaccines are currently being developed and marketed, so individuals should enhance their acquired immunity and generalize their living systems by the performance of copper ions in the social environment. In order to prevent the spread of infection, the need for anti-bacterial film and its efficacy were analyzed through anti-viral performance tests based on research and development cases of worldwide and immemorial time. he Korea Construction Research Institute (KCL) has received anti-bacterial performance certification and anti-viral test scores from the "National Approval Performance Certification Agency." At the time, NCCP 43326 Human Corona virus (BetaCoV/Korea/KCDC03/2020), which was approved by the Centers for Disease Control and Prevention, was introduced to ensure that the activity rate of infected cells was satisfied in the anti-viral performance test. Anti-proliferation measures for the Corona 19 virus require a quality clinical trial study comparing the experimental group within the glass space where the antiviral copper film is constructed with the comparator of the same condition without copper film.

    Analysis on Characteristics of Therapeutic Factors of VRAT(Virtual Reality Art Therapy) Contents (가상현실 미술치료 (VRAT) 콘텐츠의 치료적 요인 특성에 대한 분석)

    • Rim, Sung-Ryun
      • The Journal of the Korea Contents Association
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      • v.22 no.4
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      • pp.1-12
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      • 2022
    • Since the early 20th century, along with the interest and development of alternative psychotherapy, the field of art therapy has also been developed and expanded. In particular, the recent development of technology and the untact era brought about by the COVID-19 Pandemic is accelerating the development of new digital art therapy contents. Among them, the hot interest in virtual reality is raising expectations and questions about the effectiveness of psychotherapy given by new media beyond traditional art therapy. In this study, the characteristics of VRAT (Virtual Reality Art Therapy) content therapeutic factors were investigated through qualitative literature analysis based on the conceptual framework and therapeutic components of ETC (Expressive Therapies Continumm), an integrated art therapy theory. As a result of the study, VRAT contents showed mostly therapeutic factors in the left hemisphere that triggered the user's dynamic, perceptual, and cognitive factors, and the therapeutic factors in the right hemisphere, which focused on sensory, emotional, and symbolic factors, were relatively few. The reason seems to be due to the nature of the experimental stage, the absence of active intervention by the therapist and long-term session composition, and the fear, clumsiness, and unfamiliarity of users about VRAT in addition to the characteristics and technical limitations of the VRAT medium. The limitations of the study include the small number of documents to be analyzed and the insufficient form of current VRAT to be called art therapy. It is expected that the characteristics of the therapeutic factors of VRAT content media and environment derived as a result of this study will be usefully used for the appropriate development of VRAT content in the future.

    Parallel Network Model of Abnormal Respiratory Sound Classification with Stacking Ensemble

    • Nam, Myung-woo;Choi, Young-Jin;Choi, Hoe-Ryeon;Lee, Hong-Chul
      • Journal of the Korea Society of Computer and Information
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      • v.26 no.11
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      • pp.21-31
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      • 2021
    • As the COVID-19 pandemic rapidly changes healthcare around the globe, the need for smart healthcare that allows for remote diagnosis is increasing. The current classification of respiratory diseases cost high and requires a face-to-face visit with a skilled medical professional, thus the pandemic significantly hinders monitoring and early diagnosis. Therefore, the ability to accurately classify and diagnose respiratory sound using deep learning-based AI models is essential to modern medicine as a remote alternative to the current stethoscope. In this study, we propose a deep learning-based respiratory sound classification model using data collected from medical experts. The sound data were preprocessed with BandPassFilter, and the relevant respiratory audio features were extracted with Log-Mel Spectrogram and Mel Frequency Cepstral Coefficient (MFCC). Subsequently, a Parallel CNN network model was trained on these two inputs using stacking ensemble techniques combined with various machine learning classifiers to efficiently classify and detect abnormal respiratory sounds with high accuracy. The model proposed in this paper classified abnormal respiratory sounds with an accuracy of 96.9%, which is approximately 6.1% higher than the classification accuracy of baseline model.

    The Role of Perfusionists during the COVID-19 Pandemic and Clinical Laboratory Technologists: Comparison of Training Systems in Japan and the United States (코로나19를 통해서 바라본 체외순환사의 역할과 임상병리사: 일본과 미국의 양성체계를 비교)

    • Dong-Ok, Aum;Dae Jin, Kim;Dae Eun, Kim;Myong Soo, Kim;Bon-Kyeong, Koo
      • Korean Journal of Clinical Laboratory Science
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      • v.54 no.4
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      • pp.293-297
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      • 2022
    • In 2022, Korea reported a total of 224 perfusionists, employing nurses or clinical laboratory technologists (also known as medical technologists) to provide hospital self-education or reliable education. In 2021, the total number of perfusionists in Japan was 2,100, mainly supported by clinical engineering technologists. During the same period, the number of perfusionists reported in the United States was 4,212, who had received training in the master's program, post-bachelor certificate program, and bachelor's program. Most personnel in the USA were graduates of healthcare sciences or life sciences. Perfusionists must be knowledgeable in heart anatomy, physiology, pharmacology, pathology, hemodynamics, laboratory analysis, and quality assurance, as well as techniques to operate the cardiopulmonary bypass machine (heart-lung bypass machine). These are jobs similarly handled by clinical laboratory technologists. The importance of perfusionists became more prominent during two major crises: the MERS-CoV and COVID-19 pandemic. Currently, perfusionists play a significant role in the rapidly expanding field of extracorporeal membrane oxygenation (ECMO) and extracorporeal circulation during cardiac surgery. Results of the current study indicate that hospitals offering cardiac surgery and infectious disease hospitalization need to be institutionalized to secure a certain number of qualified perfusionists. In the future, we look forward to establishing a perfusion technology association under the Korean Society for Clinical Laboratory Physiology to provide academic exchanges.

    A Study on Metaverse Utilization and Introduction Strategies in College Education: Based on Step-by-step Metaverse Introduction Framework (대학 교육의 메타버스 활용 현황 및 도입 전략에 대한 연구: 단계별 메타버스 도입 프레임워크 개발을 바탕으로)

    • Son, Young Jin;Park, Minjung;Chai, Sangmi
      • Knowledge Management Research
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      • v.24 no.1
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      • pp.1-29
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      • 2023
    • The COVID-19 pandemic has accelerated digital transformation across all industries and daily life. Edutech is spreading in the education field, also bringing changes in university education. Non-face-to-face online-only classes at universities have spread after the COVID-19 pandemic physical distancing started. Online-only or real-time online classes showed diverse educational imitations. 'Metaverse' started to attract attention as a learning space and community activity support platform that may solve the limitations of online education and communication. It is time to prepare an introduction strategy for the actual application of education using metaverse. This study, first, by examining previous studies and cases of metaverse application, and second, establishing a metaverse introduction framework based on the technology lifecycle model and the innovation diffusion theory. Finally, we provide an introduction strategy in steps, a specialized introduction plan according to the main users is established and presented as a scenario. We expect that this study will provide the theoretical background of the new technology introduction and the spread of metaverse research. Also, we present an efficient introduction strategy, the basis for a service model, and a practical basis for the university's value-added strategy.


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