Howon University

BackgroundThis study aimed to investigate the influence of e-health literacy on infectious disease prevention behaviors among young adults in their 20s and 40s based on the information–motivation–behavioral skills model and to test the mediating effect of infectious disease risk perception on this relationship.MethodsThis cross-sectional survey study included young adults aged 20–40 years recruited through anonymous snowball sampling using online communities and social media. Variables were measured using the Korean version of the K-eHealth Literacy Scale, infectious disease risk perception, and self-reported infectious disease prevention behaviors. Data were analyzed using descriptive statistics, t-tests, and Pearson’s correlation analysis, and the mediating effect of infectious disease risk perception was tested using Hayes’ PROCESS macro (Model 4).ResultsThe mean of the main variables in this study was 3.55 for e-health literacy, 3.09 for risk perception, and 3.99 for preventive behaviors. Correlation analysis showed that preventive behaviors were significantly positively related to e-health literacy (r = 0.22, p < 0.001) and risk perception (r = 0.40, p < 0.001), and that e-health literacy was significantly positively related to risk perception (r = 0.22, p < 0.001). Preventive behaviors differed significantly according to sex, employment status, diagnosis experience, and quarantine experience. In the regression analysis, e-health literacy had a significant effect on risk perception (B = 0.120, p = 0.005) and in its total effect on preventive behaviors (B = 0.103, p = 0.041). However, after controlling for risk perception, the direct effect of e-health literacy was not significant (B = 0.055, p = 0.255), and only risk perception had a significant effect on preventive behaviors (B = 0.401, p < 0.001). A significant indirect effect of e-health literacy on preventive behaviors was confirmed by the mediation analysis (B = 0.048, 95% confidence interval [0.016, 0.086]) and a full mediation effect of risk perception.Conclusione-health literacy education alone is insufficient, and interventions that combine accurate risk communication and perception enhancement are needed. Tailored programs that consider life contexts, such as the workplace, may be effective in improving preventive behaviors among young adults.

Smart grids integrate information and communications technology into the processes of electricity production, transportation, and consumption, thereby enabling interactions between power suppliers and consumers to increase the efficiency of the power grid. To achieve this, smart meters (SMs) are installed in households or buildings to measure electricity usage and allow power suppliers or consumers to monitor and manage it in real time. However, SMs require a secure service to address malicious attacks during memory protection and communication processes and a lightweight communication protocol suitable for devices with computational and communication constraints. This paper proposes an authentication protocol based on a one-way hash function to address these issues. This protocol includes message authentication functions to address message tampering and uses a changing encryption key for secure communication during each transmission. The security and performance analysis of this protocol shows that it can address existing attacks and provides 105,281.67% better computational efficiency than previous methods.

The purpose of this paper is to analyze the structural stability of an underwater high-speed vehicle. The drag characteristics of a moving body moving at high speed in water were analyzed, and a stability analysis of the structure was performed by applying the non-conservative property according to the driven force in a rocket propulsion environment. To this end, the fluid characteristics that enable high-speed maneuvering in an underwater environment were described, and the structural stability was analyzed by simplifying modeling by increasing the resulting drag. In addition, for high-speed underwater movement, an analysis of the following force according to drag and axial load and the effect on structural stability was conducted by simplifying the structure attached to a specific location when a supercavitation occurs.

ABSTRACT This study explores how various gambling motives are complexly typified among young adults and examines the difference between gambling behavior and problems and mental health according to typed groups of sub-gambling motives. With 243 young adults as subjects, latent class analysis using M-plus was employed to check how the gambling motives of young adults are typified, and chi-test and one-way ANOVA were performed on the differences in gambling behavior, gambling problems, and mental health according to the derived latent group (typing). As a result, the parallel and complex aspects of gambling motives were derived into four types of gambling motives, and according to group characteristics, they were named as follows: low overall motivation group (29.8%), high level of avoidance-focused-complex motivation group (36.4%), high level of excitement and social motivation group (19.0%), and high level of monetary and amusement motivation group (14.9%). According to the types of gambling motives, differences in gambling behavior, gambling problems, and mental health were higher in the high-level avoidance-focused-complex motivation group than in the other groups. Based on these results, we suggest establishing an intervention strategy by carefully evaluating the level of avoidance motivation and its causes when various motives are combined in clinical settings.

Objectives: This study aims to examine the factors affecting resilience in dental hygiene students. Methods: The participants were 200 dental hygiene students. Data were collected from June 1 to August 30, 2021 and analyzed using t-test, ANOVA, Pearson's correlation coefficient, and multiple regression by using PASW Statistics 26.0. Results: Subjects' mean scores of resilience, self-esteem, social support, and emotional intelligence were 2.99, 3.61, 3.78, and 3.25, respectively. There were significant differences in the level of resilience among credit, stress relief methods, subject health status, satisfaction of major, and aptitude for dental hygiene (P<0.05). The resilience showed a significant relationship with selfesteem (r=0.673), social support (r=0.673), and emotional intelligence (r=.804). The results of the multiple regression analysis showed that self-esteem was the highest impact predictor for resilience which explained 57.4% of the total variance (F=68.021, P<0.001).

The purpose of this study is to identify the performance of the SCR catalyst according to the thermal aging, coking and space velocity subjected for commercial catalysts (Cu- and Fe-SCR). The Cu-SCR (Fresh) catalyst showed 83 % of high NOx reduction rate in the low temperature of 200 °C, and the performance window of NOx reduction rate was established widely in all temperature ranges. Fe-SCR (800 °C 22hr) catalyst was slightly improved with the NOx reduction rate compared to the Fe-SCR (Fresh) catalyst, and this was due to the increase in the intensity of acid site due to the de-aluminization. Cu-SCR (0.1 g coking) catalyst reduced NOx reduction rate by about 20–40 % compared to the Fresh catalyst due to the clogging of the catalyst active site by the carbon. When carbon of 0.1 g was deposited on the Cu- and Fe-SCR catalysts, it was reduced to NOx conversion rate because metal was deposited on active site of the SCR catalyst. In the effect of the space velocity of Cu-SCR (Fresh) catalysts, SV 44,000 h−1 and 56,000 h−1 reduced NOx conversion rate by about 15–40 % at the overall temperature compared to 28,000 h−1. The larger the SV, the time for the exhaust gas to react with the catalysts is shortened. For SV 40,000 h−1 and 56,000 h−1, NOx conversion rate was equivalent.

In sedimentology, stratigraphic sequences and cycles are ordered by time spans and physical scales, such as thickness, and bounded by discontinuities, including unconformities or flooding surfaces. Spectral analysis based on wavelet transform (WT) maxima is proposed and used as a quantitative tool to identify multi-order stratigraphic boundaries and cycles in well log data. The proposed spectral analysis is based on quantitative analysis on the center frequencies and resolutions of Gaussian wavelets in time and frequency, and uses a combination of the WT maxima based on both the first order Gaussian wavelet having a high time resolution and the seventh order Gaussian wavelet having a high frequency resolution. WT maxima spectra, which can characterize the evolution of WT maxima across scales and periods along WT maxima lines concerned with sequence boundaries, are used to detect dominant spectral peaks corresponding to the time-period domain WT maxima and to determine WT maxima spectral slopes. The WT maxima spectral slopes are helpful for discriminating sequence boundaries from intrasequence cyclic variations in well log data, and the time-period domain WT maxima are used to relate the detected boundaries to relevant cycles. The interval WT maxima spectra and the stationary index, related to the WT maxima spectra, are introduced as indicators that can be used for the hierarchical ordering of the boundaries and cycles. Application of the proposed method to well log data shows that the suggested method is efficient in identifying multi-order sequences that relate well to the Milankovitch cycles.

Purpose The purpose of this study was to determine the relationship between sleep quality and cognitive function, depression, and institutionalized elderly activity. The goal is to improve the quality of life through early intervention in the sleeping problems of the elderly hospitalized in the nursing home. Method Twentythree patients who were diagnosed with CDR (clinical dementia grade) 0.5 ~ 2 stages by a psychiatrist from September 3 to 30, 2017 were measured for sleep status, depression, cognitive function and activities of daily living at the same time once a day. The collected data were analyzed using SPSS (v.21, IBM, USA) program. Results The correlation between sleep status and cognitive function, depression, and activities of daily living was not statistically significant, and there was a moderate correlation between cognitive function and depression. Conclusion The results of this study suggest that the development and application of a program that activates the cognitive function that is institutionalized with a positive correlation between cognitive function and depression will be effective in decreasing depression in the elderly patients hospitalized in the nursing home.