• The Journal of Bigdata
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• v.7 no.2
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• pp.103-111
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• 2022

There are many institutions, organizations, and sites related to responding to infectious diseases, but as the pandemic situation such as COVID-19 continues for years, there are many changes in the initial and current aspects, and accordingly, policies and response systems are evolving. As a result, regional gaps arise, and various problems are scattered due to trust, distrust, and implementation of policies. Therefore, in the process of analyzing social data including information transmission, Twitter data, one of the major social media platforms containing inaccurate information from unknown sources, was developed to prevent facts in advance. Based on social data, which is unstructured data, an algorithm that can automatically detect infectious disease threats is developed to create an objective basis for responding to the infectious disease crisis to solidify international competitiveness in related fields.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.141-148
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• 2024

The purpose of this study is to examine the definition of racism, prejudice, discrimination, and neo-racism, and to find solutions to racial discrimination. Specifically, we looked for cases of banal racism that appeared in the global era and looked at the racism that is prevalent in everyday life. The American film 《Hidden Figures》 is based on a true story and depicts the racism experienced by black women, and this racism is prevalent around the world as it appears in everyday life. In particular, racial discrimination has increased during the COVID-19 pandemic. Racial discrimination continues even after the pandemic. Therefore, a solution to overcome everyday racism was suggested. The results of this study will serve as an opportunity to realize that habitual and unconscious racism can be physical and mental violence for people suffering from racial discrimination.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.1
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• pp.53-73
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• 2024

While global production supply chains are expected to shift toward friendly or allied countries, pandemic-shoring such as nearshoring and friendshoring, due to increased protectionism and the reorganization of regional value chains in the wake of the global pandemic, the study found that economic rather than political factors are still at play in consumer supply chains. In the case of Chinese e-commerce market (C-commerce), the study attributes the rapid growth of the market to (1) related regulatory relaxations introduced to stimulate consumption after the end of COVID-19, (2) an increasing pattern of wanting to consume more for a limited income and (3) unconventional business activities to increase their share of the global consumption market. Through these phenomena, the production-consumption network is likely to develop into a more fragmented form, and the consumption network in particular is expected to become more fragmented, influenced by the digital technology war, a phenomenon of re-globalization.

• Journal of Preventive Medicine and Public Health
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• v.57 no.3
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• pp.223-233
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• 2024

Objectives: The coronavirus disease 2019 pandemic has exacerbated the rate of tuberculosis (TB) infection among close contacts of TB patients in remote regions. However, research on preventive behaviors, guided by the Health Belief Model (HBM), among household contacts of TB cases is scarce. This study aimed to employ the HBM as a framework to predict TB preventive behaviors among household contacts of TB patients in the border areas of Northern Thailand. Methods: A cross-sectional study with multi-stage random sampling was conducted in Chiang Rai Province. The study included 422 TB patients' household contacts aged 18 years or older who had available chest X-ray (CXR) results. A self-administered questionnaire was used to conduct the survey. Results: The participants' mean age was 42.93 years. Pearson correlation analysis showed that TB preventive behavior scores were significantly correlated with TB knowledge (r=0.397), perceived susceptibility (r=0.565), perceived severity (r=0.452), perceived benefits (r=0.581), self-efficacy (r=0.526), and cues to action (r=0.179). Binary logistic regression revealed that the modeled odds of having an abnormal CXR decreased by 30.0% for each 1-point score increase in preventive behavior (odds ratio, 0.70; 95% confidence interval, 0.61 to 0.79). Conclusions: HBM constructs were able to explain preventive behaviors among TB patients' household contacts. The HBM could be used in health promotion programs to improve TB preventive behaviors and avoid negative outcomes.

• Journal of Korean Foot and Ankle Society
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• v.28 no.3
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• pp.81-86
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• 2024

The International Federation of Foot and Ankle Societies (IFFAS) is a global organization for foot and ankle societies, comprising the Asian Federation of Foot and Ankle Surgeons (AFFAS), the European Foot and Ankle Society (EFAS), the Latin American Federation of Medicine and Surgery of the Foot and Leg (FLAMECIPP), the North American Federation of Foot and Ankle Societies (NAFFAS), and the Southern Federation of Foot and Ankle Society. Since 2005, IFFAS has organized worldwide conferences every three years, starting in Naples, Italy. The 2020 conference in Chile was postponed to 2022 due to COVID-19 pandemic and became biennial with the founding of the Southern Federation. Consequently, the conference is set to take place in Seoul in 2024. IFFAS 2024 was the first global foot and ankle conference held post-pandemic and significant as the first IFFAS event in Asia since the 2011 conference was canceled because of the Great East Japan Earthquake. Under the theme "Meet the knowledge and beautifulness," the event was hosted in Seoul. The academic program included an AFFAS-hosted event on May 30, followed by the IFFAS-hosted conference from May 31 to June 1, with all events organized by the Korean Foot & Ankle Society (KFAS).

• Asia-Pacific Journal of Business
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• v.15 no.3
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• pp.399-415
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• 2024

Purpose - This study aims to explore trading behaviors of individual investors in the KOSDAQ market, thereby explaining the low profitability of individual investors relative to institutional or foreign investors and comparing features specific to the KOSDAQ market with those of the KOSPI market. Design/methodology/approach - KOSDAQ market data, ranging from 2018-01-03 to 2023-12-28, is obtained from the KRX market data system on a daily basis. 12 sub-periods are generated by dividing the entire dataset into 6-month intervals, and within each sub-period, 25 stock-groups are established by the amount of individual investors' net purchases at 4% intervals. The analysis is conducted by comparing major information on trading behaviors across the sub-periods and across the stock-groups. Findings - First, the ratio of individual investors' net purchases shows a negative correlation with the ratio of net purchases of institutional and foreign investors with a strong statistical significance for all sub-periods, and it exhibits negative correlations with the periodic cumulative returns for the most sub-periods. It is also revealed that the low profitability of individual investors might result from the failure of choosing stocks, unlike the case of the KOSPI market where individual investors' low performance is related to the choice of the timing of transactions, rather than the choice of stocks. Research implications or Originality - The empirical results indicate that individual investors in the KOSDAQ market need to be more prudent in choosing stocks than in the KOSPI market, and imply that rediscovering the benefit of the diversification, especially for the KOSDAQ market, might be substantially meaningful.

• Journal of Korean Society of Rural Planning
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• v.26 no.4
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• pp.27-39
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• 2020

With the COVID-19 pandemic, the global economy has stagnated and our daily lives have changed. The rural economy is also experiencing damage, such as an average of 65% or more decrease in the number of visitors to rural experience resort villages due to the spread of COVID-19. In order to minimize the damage arising from the prolonged coronavirus, a hospitality system in response to changes in rural tourism behavior and consumer demand is needed to revitalize rural areas and maintain continuous economic independence. Therefore, this study attempted to find ways to utilize landscape resources such as education, culture, history, and ecology in order to complement the existing experience programs in connection with local resources and local environment. Wibong Village, which is the subject of the study, attempted to revitalize the village using the resources through the "Creative village creation" project in 2015. Due to poor management of historical resources, difficulty in operating experience programs, and response to changes in the natural environment, the rate of implementation of the project plan was very low. Currently, the demand for experience is also decreasing due to the COVID-19 effect, so it was judged that it was necessary to develop an experience village program suitable for the needs of experienced visitors by discovering additional local resources for the continuous operation of the experience village. In order to solve the problem of the use of landscape resources and the spatial composition of the study site, additional investigations of local resources were made, and an experience program course that could be operated by theme was proposed by configuring a space suitable for the use of landscape resources. By dividing the additionally investigated landscape resources into history, ecology, and region, an experiential course was created to separate the traffic lines, and the space composition for large-scale experienced visitors that had been previously operated was constructed in a form suitable for the post-corona era. In addition, at least two experiential tour courses that can be operated by period were proposed to maintain economic effects. Starting with this study, if further research on the creation and spatial composition of a rural experience village centered on the connection with the region, it will be used as research results that can be referenced in projects such as village creation, rural space planning, and living area analysis. It is expected that it will be able to effectively cope with the construction of a rural area suitable for the post-corona era, where demand is expected to increase in the future.

• Knowledge Management Research
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• v.22 no.1
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• pp.39-56
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• 2021

In the current knowledge society, mobile devices have become a useful tool for performing work. In the context of COVID-19 which has made digital transformation inevitable, the importance of mobile work behaviors - performing work tasks through mobile devices - is further highlighted. Drawing from the behavioral immune system theory and cognitive appraisal theory of emotions, this study proposes that individual workers' concern about getting infected by COVID-19 will be negatively related to job satisfaction but positively related to mobile work behaviors. We further propose that leaders' communality and agency trait will be positively related to both job satisfaction and the increase of mobile work behaviors. Analyses of a matched dataset comprising survey data and mobile application usage data from 407 workers showed that their leaders' agency and communality were significantly related to the workers' job satisfaction. However, their mobile productivity was significantly related only to the communality of their leaders. The results of this study will provide useful theoretical and practical implications for researchers and managers who aim to understand and promote the technology adoption and knowledge productivity of workers in a pandemic situation.

• Journal of Appropriate Technology
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• v.7 no.2
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• pp.248-256
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• 2021

After the COVID-19 pandemic, hand hygiene has become more important to prevent and reduce infection. To manage and provide water to ensure safe handwashing, water governance and the role of public servants are also getting critical. Many organizations have given their priority to capacity building of public servants. In the Strategic Plan for the ninth phase of the Intergovernmental Hydrological Programme (2022-2029), 'Water education in the Fourth Industrial Revolution' is included as a priority. In Korea, ODA in the field of water and sanitation is emphasized in Korea's 3rd Mid-term Strategy for Development Cooperation (2021-2025). Also, KOICA and various water-related organizations have been organizing water education programs for developing countries. This study presents the direction for water education for public servants in developing countries in the post COVID-19 through the education program cases of the International Centre for Water Security and Sustainable Management established by the agreement between the Korean government and UNESCO in 2017. The study suggests that water-related organizations should cooperate with each other to prevent duplication of water education contents. It also suggests that blended learning should be actively utilized for the improvement of education program effectiveness. Lastly, the study emphasizes that education demand for the water technologies related to the fourth industrial revolution and smart water management is increasing, which should be considered when water-related organizations create online content or design education programs.