• Journal of the Korean earth science society
• /
• v.44 no.1
• /
• pp.62-78
• /
• 2023

The purpose of this study is to analyze the field of Earth science at a science fair. For this purpose, 566 pieces of data spanning 21 years (2000 to 2020), acquired from entries in the Earth Science section on the science fair website, were analyzed using the semantic network method. As a result, geoscience topics have been actively explored in works submitted for the Earth Science section of the science fair. Fossils from the Cretaceous period of the Mesozoic Era were particularly predominant. Together with these, keywords corresponding to astronomy, space science, and atmospheric science formed a small-scale network. Astronomy and space science mainly dealt with the dynamic characteristics of asteroids, Venus, and Jupiter. Other subjects included the solar system, sunspots, and lunar phases. Atmospheric science has focused on atmospheric physics, atmospheric observation and analysis technology, atmospheric dynamics, air quality monitoring, while marine science has been limited to physical oceanography and geologic oceanography. This study, is expected to help select Earth Science topics and conduct inquiry activities in schools.

• Therapeutic Science for Rehabilitation
• /
• v.11 no.1
• /
• pp.21-33
• /
• 2022

Purpose : The purpose of this study was to establish scientific evidence though a systematic review, of the existing interventional methods and their respective effects, for swallowing disorders among dementia patients. The interventional methods were based on patient characteristics. Methods : An electronic literature search was performed using five electronic databases from 2010 to 2020. The keywords were 'Dementia', 'Alzheimer disease', 'Deglutition disorder', 'Swallowing disorder', 'Dysphagia'. Five articles met the inclusion criteria. Results : One study with moderate-to-severe and four studies with severe dementia patients were included. The interventions consisted of one remedial intervention, three compensatory interventions, and one comprehensive intervention. Compensatory intervention, including behavioral and psychological management, were used in moderate-to-severe patients. For the severe patients, remedial, compensatory, and comprehensive intervention were used to address the feeding tube problem. The interventions used in each study had a positive effect on the outcome variables associated with swallowing ability. Conclusion : The purpose of the intervention and the intervention factors changed depending on the patient's dementia stage. The intervention was effective when considering the progressive stage of the patient. These results may serve as a guide in designing effective interventions for swallowing disorders in dementia patients.

• The Journal of the Korea Contents Association
• /
• v.22 no.8
• /
• pp.660-670
• /
• 2022

This study was analyzed by applying AMSTAR-2, a methodological quality evaluation tool, to evaluate the quality of domestic meta-analysis papers on rehabilitation interventions for stroke patients. The purpose of this study is to provide guidelines for qualitative improvement of evidence-based practice and meta-analysis research by analyzing the qualitative level of the analyzed research. The literature search was conducted using the Research Information Sharing Service, Korean Medical database, and Korean studies Information Service System. Two authors searched, extracted, and reviewed literature using the keywords 'stroke' and 'meta-analysis'. As a result of the AMSTAR-2 quality evaluation of the final 18 studies, 3 studies (16.67%) were 'Moderate', 8 studies (44.44%) were 'Low', and 7 studies (38.89%) were 'Critically Low'. In future research, scientific and objective data selection and extraction process should be performed. It is expected that interest and efforts to improve the quality of meta-analysis research will continue by referring to the contents analyzed in this study as a way to improve the quality of literature.

• Korean Journal of Social Welfare Studies
• /
• v.41 no.3
• /
• pp.29-56
• /
• 2010

One of the most popular keywords in 21th century is "Information Society". Information Society improves the overall quality of human life, but increases the negative aspects such as internet addiction and digital divide. The purpose of this study is to understand the vicious cycle between socio-economic disparities and digital divide. This study analyzed the effects of poverty on school maladjustment and academic achievement and mediation effects by using parental monitoring and internet use types as mediators. Data were obtained from the Korea Youth Panel Survey(KYPS). Structural equation modeling was employed for statistical analyses. The result showed that poverty reduced parental monitoring and information-oriented type of internet use. Youth who used less information-oriented type showed more school maladjustment and less academic achievement. However, the relationship between poverty and entertainment-oriented type was non-significant. Thus, parental monitoring and the internet use types were one of the main pathways which can affect school maladjustment and academic achievement among youth in poverty. There was the possible vicious cycle between poverty and digital divide. Based on this study, we strongly suggest improvement of the media competence to solve the problem of digital divide among youth in poverty.

• Knowledge Management Research
• /
• v.24 no.3
• /
• pp.217-237
• /
• 2023

Recently, in the face of successive and unexpected global economic risks, ESG(Environmental, Social, and Governance) management has risen as an essential survival strategy for businesses. Particularly, the supply chain disruptions due to the COVID-19 pandemic have added to the uncertainty of risks, heightening the importance of ESG management in the distribution industry. In this context, the role of blockchain technology in strengthening and managing the connection between the distribution industry and ESG management has become increasingly significant. While there have been extensive proposals for business models that integrate blockchain technology into distribution, few studies have specifically focused on the feasibility and effectiveness of applying blockchain to ESG management in this field. Therefore, this study analyzed the relationship between blockchain and ESG management in the distribution industry by employing association analysis, a text mining technique, on Korean academic research. Through this, the study confirmed the possibility of implementing blockchain in the distribution industry's ESG management and presented keywords to guide future research directions. The findings obtained from this study are expected to be utilized as foundational research for future studies in constructing blockchain-based business models for ESG management in the distribution industry.

• Journal of Practical Engineering Education
• /
• v.15 no.1
• /
• pp.97-105
• /
• 2023

Recently, with the development of artificial intelligence technology, many technologies for user convenience are being developed. Among them, interest in autonomous vehicles is increasing day by day. Currently, many automobile companies are aiming to commercialize autonomous vehicles. In order to lay the foundation for the government's new and reasonable policy establishment to support commercialization, we tried to analyze changes and perceptions of public opinion through news article data. Therefore, in this paper, 35,891 news article data mentioning terms similar to 'autonomous vehicles' over the past three years were collected and network analyzed. As a result of the analysis, major keywords such as 'autonomous driving', 'AI', 'future', 'Hyundai Motor', 'autonomous driving vehicle', 'automobile', 'industrial', and 'electric vehicle' were derived. In addition, the autonomous vehicle industry is developing into a faster and more diverse platform and service industry by converging with various industries such as semiconductor companies and big tech companies as well as automobile companies and is paying attention to the convergence of industries. To continuously confirm changes and perceptions in public opinion, it is necessary to analyze perceptions through continuous analysis of SNS data or technology trends.

• Korean Journal of Psychosomatic Medicine
• /
• v.31 no.2
• /
• pp.72-78
• /
• 2023

Objectives : This study aims to identify various psychiatric symptoms and psychosomatic symptoms caused by COVID-19 infection and investigate their long-term impact. Methods : A systematic literature review was conducted, selecting papers from domestic and international databases using keywords such as "COVID-19" and "psychosomatic." A total of 16 papers, including those using structured measurement tools for psychosomatic symptoms, were included in the final analysis. Results : Psychiatric symptoms such as anxiety, depression, and somatic symptoms have been reported in acute COVID-19 infection, while long-term post-COVID symptoms include chest pain and fatigue. The frequency of long-term psychosomatic symptoms has been estimated to be 10%-20%. Factors contributing to these symptoms include psychological and social stress related to infectious diseases, gender, elderly age, a history of psychiatric disorders, and comorbid mental illnesses. It is suggested that systemic inflammation, autoimmune responses, and dysregulation of the autonomic nervous system may be involved. Conclusions : Psychosomatic symptoms arising after COVID-19 infection have a negative impact on quality of life and psychosocial functioning. Understanding and addressing psychiatric aspects are crucial for symptom prevention and treatment.

• Smart Media Journal
• /
• v.12 no.8
• /
• pp.45-59
• /
• 2023

Users who want to experience the metaverse for tourism are exposed to strategic planning in space for the purpose of cultural content. In addition, users learn integrated cultural content in the process of proceeding according to the virtual environment. and Along with the meaning of time and space, users will experience space-telling. It is important to induce interest from the beginning of the experience to continue the experience. However, obstacles arise in this process. This is because developers should promote connections with new information to users who do not have sufficient prior knowledge and only have keywords of interest. Therefore, efficient design methods to enhance interest should be studied in advance. But so far, there has been no research on how to systematically design prior organizers to induce interest in virtual space. This study is an interest-inducing design method that occurs in the process of developing the meaning of virtual space and storytelling of cultural content, and can be seen as a basic study using conceptual guidance-based prior organizer education and learning techniques. First, virtual space elements and human behavior theories were considered. Subsequently, five representative examples of previous organizers currently used were explored, and redesigned and proposed based on a conceptual map for information access and delivery purposes. Through this research process, it was possible to confirm that spatial attributes and cognitive interest elements were effectively transmitted to meaningful learning leading to storytelling learning and elements of service design design method through conceptual guidance.

• Journal of the Korean Society for information Management
• /
• v.40 no.4
• /
• pp.429-450
• /
• 2023

The purpose of this study is to examine recent trends and intellectual structures in research related to open data. To achieve this, the study conducted a search for the keyword "open data" in Scopus and collected a total of 6,543 papers from 1999 to 2023. After data preprocessing, the study focused on the author keywords of 5,589 papers to perform network analysis and derive centrality in the field of open data research and linked open data research. As a result, the study found that "big data" exhibited the highest centrality in research related to open data. The research in this area mainly focuses on the utilization of open data as a concept of public data, studies on the application of open data in analysis related to big data as an associated concept, and research on topics related to the use of open data, such as the reproduction, utilization, and access of open data. In linked open data research, both triadic centrality and closeness centrality showed that "the semantic web" had the highest centrality. Moreover, it was observed that research emphasizing data linkage and relationship formation, rather than public data policies, was more prevalent in this field.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.29 no.7
• /
• pp.843-856
• /
• 2023

The global surge in maritime traffic has resulted in an increased number of ship collisions, leading to significant economic, environmental, physical, and human damage. The causes of these maritime accidents are multifaceted, often arising from a combination of crew judgment errors, negligence, complexity of navigation routes, weather conditions, and technical deficiencies in the vessels. Given the intricate nuances and contextual information inherent in each incident, a methodology capable of deeply understanding the semantics and context of sentences is imperative. Accordingly, this study utilized the SentenceBERT model to analyze maritime safety tribunal decisions over the last 20 years in the Busan Sea area, which encapsulated data on ship collision incidents. The analysis revealed important keywords potentially responsible for these incidents. Cluster analysis based on the frequency of specific keyword appearances was conducted and visualized. This information can serve as foundational data for the preemptive identification of accident causes and the development of strategies for collision prevention and response.