• Industry Promotion Research
• /
• v.9 no.1
• /
• pp.231-239
• /
• 2024

This study aims to verify the moderated mediating effect of a growth mindset on the effect of academic burnout on academic self-efficacy through study engagement among Chinese college students. Data were collected through a survey targeting 547 college students who were purposively sampled at a junior college in China. The collected data was analyzed using SPSS PC+ Win ver. 25.0 and SPSS PROCESS macro ver. 4.2. The applied statistical methods were frequency analysis, reliability analysis, correlation analysis, and moderated mediation effect analysis. The study showed that academic burnout had a significant negative correlation with growth mindset, study engagement, and academic self-efficacy. On the other hand, growth mindset, study engagement, and academic self-efficacy showed a significant positive correlation. Second, the moderated mediating effect of a growth mindset was verified in the effect of academic burnout on academic self-efficacy through study engagement. Based on these results, this study proposed a method to protect academic self-efficacy by applying study engagement and growth mindset in situations where academic burnout among college students reduces academic self-efficacy.

• Industry Promotion Research
• /
• v.9 no.1
• /
• pp.113-122
• /
• 2024

The purpose of this study is to examine the mediating effect of self-esteem on the effect of family relationship satisfaction on depression among the elderly and to draw implications for the social welfare field. For this study, raw data from the 16th Korean Welfare Panel Survey were used for analysis, and a sample of 4,310 elderly people aged 65 years or older was selected as respondents. The collected data were subjected to frequency analysis and correlation analysis using IBM SPSS 24.0, and the Process Macro of SPSS proposed by Hayes (2018) was used to examine the mediating effect. The results of the significance test of family relationship satisfaction on depression showed that family relationship satisfaction was significant, i.e., the higher the level of family relationship satisfaction, the lower the depression. In addition, the results of the significance test of the effects of family relationship satisfaction and self-esteem on depression showed that family relationship satisfaction had a significant effect, and the mediating variable, self-esteem, had a significant effect on depression. Therefore, this study aims to identify the characteristics of family relationship satisfaction among the elderly and provide policy suggestions and social work practice directions to reduce the level of depression among the elderly.

• Korean Journal of Radiology
• /
• v.25 no.5
• /
• pp.414-425
• /
• 2024

Objective: This study aims to explore the opinions on the insurance coverage of artificial intelligence (AI), as categorized based on the distinct value elements offered by AI, with a specific focus on patient-centered outcomes (PCOs). PCOs are distinguished from traditional clinical outcomes and focus on patient-reported experiences and values such as quality of life, functionality, well-being, physical or emotional status, and convenience. Materials and Methods: We classified the value elements provided by AI into four dimensions: clinical outcomes, economic aspects, organizational aspects, and non-clinical PCOs. The survey comprised three sections: 1) experiences with PCOs in evaluating AI, 2) opinions on the coverage of AI by the National Health Insurance of the Republic of Korea when AI demonstrated benefits across the four value elements, and 3) respondent characteristics. The opinions regarding AI insurance coverage were assessed dichotomously and semi-quantitatively: non-approval (0) vs. approval (on a 1-10 weight scale, with 10 indicating the strongest approval). The survey was conducted from July 4 to 26, 2023, using a web-based method. Responses to PCOs and other value elements were compared. Results: Among 200 respondents, 44 (22%) were patients/patient representatives, 64 (32%) were industry/developers, 60 (30%) were medical practitioners/doctors, and 32 (16%) were government health personnel. The level of experience with PCOs regarding AI was low, with only 7% (14/200) having direct experience and 10% (20/200) having any experience (either direct or indirect). The approval rate for insurance coverage for PCOs was 74% (148/200), significantly lower than the corresponding rates for other value elements (82.5%-93.5%; P ≤ 0.034). The approval strength was significantly lower for PCOs, with a mean weight ± standard deviation of 5.1 ± 3.5, compared to other value elements (P ≤ 0.036). Conclusion: There is currently limited demand for insurance coverage for AI that demonstrates benefits in terms of non-clinical PCOs.

• Land and Housing Review
• /
• v.15 no.2
• /
• pp.57-71
• /
• 2024

This study aims to develop an evaluation method for solar power facilities considering disaster impacts and to analyse the vulnerabilities of existing facilities. Haenam-gun in Jeollanam-do, where the reassessment of existing facilities is urgent, was selected as the study area. To evaluate the vulnerability from a more objective perspective, principal component analysis and entropy methods were utilised. Seven vulnerability assessment indicators were selected: maximum hourly rainfall, maximum wind speed, number of typhoon occurrence days, number of rainfall days lasting more than five days, maximum daily rainfall, impermeable area ratio, and population density. Among these, maximum hourly rainfall, maximum wind speed, maximum daily rainfall, and number of rainfall days lasting more than five days were found to have the highest weights. The overlay of the derived weights showed that the southeastern regions of Haenam-eup and Bukil-myeon were classified as Grade 1 and 2, whereas the northern regions of Hwawon-myeon, Sani-myeon, and Munnae-myeon were classified as Grade 4 and 5, indicating differences in vulnerability. Of the 2,133 facilities evaluated, 91.1% were classified as Grade 3 or higher, indicating a generally favourable condition. However, there were more Grade 1 facilities than Grade 2, highlighting the need for countermeasures. This study is significant in that it evaluates solar power facilities considering urban disaster resilience and is expected to be used as a basic resource for the installation of new facilities or the management and operation of existing ones.

• Journal of the Korean Applied Science and Technology
• /
• v.40 no.4
• /
• pp.733-742
• /
• 2023

This study aims to investigate the mediating effect of outcome expectation in the relationship between strengths knowledge and career adaptability for nursing students. The participants of this study were 284 nursing students in three Universities in G City, J Province. Data analysis used descriptive statistics, t-test, ANOVA, Pearson correlation analysis. Also mediation analysis was performed according to the Baron and Kenny method and Sobel test.. Career adaptability is positively correlated with strengths knowledge(r=.61, p<.001), outcome expectation(r=.55, p<.001), and strengths knowledge is positively correlated with outcome expectation(r=.41, p<.001). The outcome expectation showed a partial mediating effect between the strengths knowledge and the career adaptability(Z=3.85, p<.001). The positive the strengths knowledge(𝛽=.44, p<.001), the higher the outcome expectation(𝛽=.33, p<.001), the higher the career adaptability level, and the explanatory power to explain career adaptability was 50%. Therefore, in order to improve the career adaptability of nursing students, it suggests that it is necessary not only to recognize strengths with positive thinking about individuals, but also to improve attitudes to form desirable outcome expectations at the same time.

• Journal of The Korean Society of Integrative Medicine
• /
• v.12 no.2
• /
• pp.133-140
• /
• 2024

Purpose : People who have suffered from COVID-19 suffer from decreased pulmonary function and various side effects. This study aims to present three respiratory exercise intervention methods to improve pulmonary function in COVID-19 survivors. Therefore, the purpose of this study will investigate the effects of breathing exercise interventions (aerobic exercise, diaphragm breathe exercise, and inspiratory muscle training on resistance) on pulmonary function in COVID-19 survivors. Methods : The subjects who participated in this study were 35 male and female college students confirmed with COVID-19. All subjects were randomly assigned to A, D, and I groups according to breathing exercise intervention method. Groups A, D, and I each performed aerobic exercise, diaphragm breathing exercise, and inspiratory muscle training on resistance, 3 times a week for 6 weeks. Pulmonary function was measured using a spirometer, and FVC (forced vital capacity), FEV₁ (forced expiratory volume in one second), FEV₁/FVC % (forced expiratory volume in one second / forced vital capacity ratio), and PEF (peak expiratory flow) were measured at 0, 3, and 6 weeks. Data analysis was compared by repeated measures analysis of variance, and post hoc tests for time were compared and analyzed using paired t-tests. Results : In the results of this study, FVC values showed statistically significant improvement in all groups. FEV₁ values also showed statistically significant improvement in all groups. And the FEV₁/FVC % value also showed statistically significant improvement in all groups. And the PEF values also showed statistically significant improvement in all groups. Conclusion : The results of this study reported that aerobic exercise, diaphragm breathing exercise, and resistance inspiratory muscle training were all effective in improving pulmonary function in COVID-19 survivors. Therefore, application of the three breathing exercise intervention methods presented in this study will help improve pulmonary function in COVID-19 survivors.

• Journal of the Korea Society of Computer and Information
• /
• v.29 no.4
• /
• pp.145-153
• /
• 2024

Through the 106th session of the International Maritime Organization(IMO)'s Maritime Safety Committee(MSC), a mandatory safety training requirement for all personnel transferred or accommodated for offshore industrial activities was established and adopted under the name of SOLAS Chapter XV, IP(Industrial Personnel) Code. This regulation mandates pre-boarding safety training to enable individuals to anticipate and mitigate hazardous risks in navigation and operational environments. Consequently, the IP Code includes provisions regarding the training content for industrial personnel and regulations for the refusal of master who has a full responsibility for individuals who have not completed the required training(non-qualified industrial personnel). Referred to as the IP Code, this agreement is set to enter into force in July 2024, necessitating the establishment and operation of safety education for industrial personnel boarding ships before that date. Accordingly, this paper reviews the legal requirements related to training within IP code and analyzes the details of models including training objectives, target audience, duration, and course structure of safety trainings such as STCW, OPITO, GWO training, and other delegated training related to current ships. Additionally, it aims to propose a curriculum model for IP training courses which consists of a total of 16 hours over 2 days, offered by the Korea Institute of Maritime and Fisheries Technology, including teaching objectives, duration, and course structure.

• Information Systems Review
• /
• v.18 no.4
• /
• pp.89-106
• /
• 2016

The latest movement in live video streaming service is mobile personal broadcasting (MPB), which refers to consumers accessing the service through social media with mobile devices, such as smartphones and tablet PCs. This service is possible through the advancements in mobile video technology and platforms. Features such as enhanced user interaction, personalization, and real-time broadcasting, combined with a greater variety of content, have led to the development of MPB. The increase in MPB users calls for research, including that on the hedonic motivational angle. This study aims to assess MPB users' intrinsic motives through the hedonic-motivation system adoption model (HMSAM) using seven factors: joy, temporal dissociation, escapism, focused immersion, perceived ease of use, perceived usefulness and intention to watch. Survey data collected from 154 samples were analyzed with statistical techniques, such as structural equation modeling. Results showed that time dissociation, escapism, and perceived ease of use have a positive relationship with heightened enjoyment. Joy significantly affects focused immersion and intention to watch. Escapism also had a statistically significant influence on focused immersion. This study contributes to the advancement of the MPB study under the HMSAM theoretical framework and offers practical suggestions to managers to enhance MPB content viewership.

• Information Systems Review
• /
• v.21 no.2
• /
• pp.117-137
• /
• 2019

In the Big Data era, data science has become popular with the production of numerous data in various domains, and the power of data has become a competitive power. There is a growing interest in unstructured data, which accounts for more than 80% of the world's data. Along with the everyday use of social media, most of the unstructured data is in the form of text data and plays an important role in various areas such as marketing, finance, and distribution. However, text mining using social media is difficult to access and difficult to use compared to data mining using numerical data. Thus, this study aims to develop Korean Natural Language Application (KoALA) as an integrated application for easy and handy social media text mining without relying on programming language or high-level hardware or solution. KoALA is a specialized application for social media text mining. It is an integrated application that can analyze both Korean and English. KoALA handles the entire process from data collection to preprocessing, analysis and visualization. This paper describes the process of designing, implementing, and applying KoALA applications using the design science methodology. Lastly, we will discuss practical use of KoALA through a block-chain business case. Through this paper, we hope to popularize social media text mining and utilize it for practical and academic use in various domains.

• Information Systems Review
• /
• v.21 no.3
• /
• pp.1-26
• /
• 2019

Now we are facing with a possibility of having crimes, which have been only possible offline, in cyber spaces as well.Especially, a recent growth in the use of SNS, promoted by popularization of smart phones, also has led an abrupt increase in cyber crime. It would be important to have a understanding of cyber crime and its characteristics by type as well as factors associated with each type of cyber crime in order to devise appropriate preventive measures against cyber crime. However, most of the previous studies on cyber crimesolely made through literature review or indirect approaches. Therefore, this study has been designed to conduct the interview with actual suspects(criminals) of cyber crime to address factors of cyber crime and to devise specific preventive measures and countermeasures against cyber crime. Especially, among various types of cyber crime, this study aims at addressing the 'trades' and 'financial transaction' of crimes committed using the information and communication network and the 'cyber libel/insult'of crimes committed using unlicensed contents, which have been soared recently and become significant issues. The findings of this study could be beneficial for the society since it has managed to conduct the interview and reveal relationships among major factors of cyber crime. The findings of this study could be used for devising and developing proper preventive and countermeasures against cyber crime, in turn reducing and preventing its damage.