This study monitored the caffeine content of ready-to-drink coffee and verified the appropriateness of the labeling. The caffeine content was analyzed using HPLC. The average caffeine content of cold brew coffee was 0.31-1.04 mg/mL, with an average of 0.55 mg/mL. The average content of product was 147.27 mg/bottle, and taking into account the recommended daily intake, an adult can consume 2.7 bottles. Americano coffee was 0.15-0.38 mg/mL, with an average of 0.28 mg/mL. The average content of product was 110.42 mg/bottle, and considering the recommended daily intake, an adult can consume 3.6 bottles. The caffeine content of decaffeinated cold brew coffee was 5.14 mg/bottle and compared to Americano coffee, more than 95% of the caffeine was removed. In addition, we verified the tolerance level of the total caffeine content in ready-to-drink coffee, and none of them exceeded 120%, signifying that all commercial products were effectively managed.
KIPS Transactions on Computer and Communication Systems
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v.12
no.10
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pp.291-298
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2023
In this paper, we study whether the programming questions of the Informatics·Computer recruitment tests were suitable for selecting teachers with required programming skills. The average points of the programming questions constituted 38%(20.8 points) of the total scores for the entire curriculum based on the results from analyzing the previous questions in the past 5 years. Moreover, the distribution of points for each evaluation criteria within programming and data structure, two exam subjects which have a high proportion of programming questions, demonstrated a large deviation ranging from 0% to 47% and 0% to 53% respectively. In this study, a questionnaire survey was conducted on 31 teachers to examine if the previous programming questions were suitable for measuring teachers' competency in programming abilities required in the actual teaching experience. Computational thinking ability was ranked the highest at 58% in response to the area that needs to be evaluated in the recruitment test. In response to the relevance of previous questions, problem solving ability was ranked the highest at 2.84 on a 5-point scale, but the overall appropriateness was deemed low. C language and Python were regarded as the computer languages suitable to be tested for programming questions with each ranked 55% and 45%. The finding confirms that teachers preferred Python and the incumbent C language to others. Based on the results of the questionnaire, we recommend changes in the programming questions to improve the selection criteria.
This paper identified the difference in perception of the consignment system between the freight company and the consigned vehicle owners, derived factors that urgently need to improve the difference in perception, and presented the basis for establishing a management model based on this. A management model based on the difference in perception of consigned borrowers was established, and research hypotheses were established to conduct reliability, validity, and confirmatory factor analysis, path analysis, and mediation effect verification. As a result of the analysis, out of 58 questions, 56 of the total 65 questions showed a difference in perception of the consignment system between trucking companies and consigned vehicle owners, and the questions were input as management model factors. As a result of conducting confirmatory factor analysis, path analysis, and mediating effect verification using only recognition data, 5 hypotheses were adopted, and it was analyzed that the factor had no mediating effect. It can be analyzed that the appropriateness of the compensation system affects the improvement of each other's relationship, and the improvement of each other's relationship leads to the improvement of transportation services. However, since the mediating effect was rejected because it was not significant, this effect should not be exaggerated.
ESG has become a necessity for all companies, and major Korean banks are actively practicing ESG management. Banks are playing a role in providing ESG finance as intermediaries in the supply of funds. Recently, they have launched ESG digital banking products that offer preferential interest rates for eco-friendly activities in combination with digital technologies. However, indiscriminate provision of preferential interest rates can adversely affect profitability of banks, and they may face the problem of 'Greenwashing' if they do not contribute to improving environmental awareness. Therefore, this study selected ESG digital savings products linked to electricity savings as the subject of the study, and empirically analyzed consumers' environmental awareness and savings behavior through actual data of consumers (N=2,478). The main findings of this study are as follows First, the analysis of the consumer status of ESG digital banking products shows that the 30-50s are the main consumer base, and the MZ generation shows relatively high performance in achieving preferential interest rates through electricity saving practices. Second, consumers' environmental awareness has a significant impact on achieving the goals of ESG banking products. ESG banking products can contribute to environmental awareness while fulfilling the basic function of saving. Third, environmental awareness did not drive consumers' savings contribution behavior, suggesting the need for continued consumer engagement. Based on environmental awareness and the theory of saving behavior, this study provides a theoretical explanation in ESG financial products. The results suggest that the appropriateness of the preferential interest rate design of ESG financial products is important.
The purpose of this study is to validate the Reactive-Proactive Aggression Questionnaire (RPQ), a tool for measuring reactive-proactive aggression, in the context of South Korea. A thorough translation was conducted in collaboration with the original author. An exploratory factor analysis (EFA), exploratory structural equation modeling (ESEM), rating scale model (Rasch), differential item functioning (DIF), and convergent validity were performed on a sample of 510 South Korean individuals. The results revealed a two-factor structure of reactive and proactive aggression after removing one item showing dual loading. Rating scale analysis based on the Rasch model indicated the appropriateness of the 3-point Likert scale, with all items meeting fit criteria. Although the separation index and separation reliability of proactive aggression was marginally lower, the overall discrimination between participants and items was satisfactory. Examination of participant-item distribution indicated a suitable alignment between reactive aggression and participant ability levels, whereas proactive aggression exhibited slightly elevated item difficulty. Furthermore, three items were found to function differently based on gender. A moderate but statistically significant positive correlation was found between the Barratt Impulsiveness Scale-11-R (Korean version) and RPQ from the results of the convergent validity evaluation. Overall, this study employed rigorous statistical methods to validate the suitability of the RPQ for use in Korea, taking cultural nuances into account, and introduced the concepts of reactive and proactive aggression to the Korean general population.
Marine accidents frequently occur due to the unreasonable operation of ships excluded from ship departure control during marine special weather warnings within smooth water areas. Coastal wave buoys installed in smooth water areas are major reference indicators for ship departure control and can be seen as being directly connected to the safety of ships navigating smooth water areas and the coast. In this study, the location appropriateness of currently operating coastal wave buoys and additional installation in the smooth water areas were assessed by analyzing coastal marine accidents over the past 30 years (1991-2020), the main wind direction and wind speed of each major trading port, and the GICOMS ship track data in 2018. The study results showed that an additional coastal wave buoy should be installed at each of the major trading ports(Inchon Port, Pohang Port, Ulsan Port, and Busan Port) and that the location of the coastal wave buoy needs to be moved in the case of Busan Port. Based on various data analysis in this study, the suggestion for an additional installation and movement of the coastal wave buoy presented in this study is expected to contribute to improving the reliability of ship departure control and resolving safety blind spots.
This paper proposes AR stone tower content, an experiential content based on wearable augmented reality (AR). Although wearable augmented reality is gaining attention, the acceptance of the technology is still focused on specialized applications such as industrial sites. On the other hand, the proposed AR stone tower content is based on the material of 'stone tower' so that general users can relate to it and easily participate in it, and it is organized to utilize space in a moving environment and find and stack stones based on natural hand gestures. The proposed AR stone tower content was implemented in the HoloLens 2 environment and evaluated by general users through a pilot exhibition in a small art museum. The evaluation results showed that the overall satisfaction with the content averaged 3.85, and the content appropriateness for the stone tower material was very high at 4.15. In particular, users were highly satisfied with content comprehension and sound, but somewhat less satisfied with object recognition, body adaptation, and object control. The above user evaluations confirm the resonance and positive response to the material, but also highlight the difficulties of the average user in experiencing and interacting with the wearable AR environment.
In cases where the response variable in proportional data is confined to a limited interval, a regression model based on the assumption of normality can yield inaccurate results due to issues such as asymmetry and heteroscedasticity. In such cases, the beta regression model can be considered as an alternative. This model reparametrizes the beta distribution in terms of mean and precision parameters, assuming that the response variable follows a beta distribution. This allows for easy consideration of heteroscedasticity in the data. In this paper, we therefore aim to analyze proportional data using the beta regression model in two empirical analyses. Specifically, we investigate the relationship between smoking rates and coffee consumption using data from the 6th National Health Survey, and examine the association between regional characteristics in the U.S. and cumulative mortality rates based on COVID-19 data. In each analysis, we apply the ordinary least squares regression model, the beta regression model, and the extended beta regression model to analyze the data and interpret the results with the selected optimal model. The results demonstrate the appropriateness of applying the beta regression model and its extended version in proportional data.
GyuHyun Jeon;Kwangsoo Kim;Jaesik Kang;Seungwoon Lee;Jung Taek Seo
Journal of Platform Technology
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v.12
no.1
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pp.91-105
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2024
As the number of cases of applying IT systems to the existing isolated ICS (Industrial Control System) network environment continues to increase, security threats in the ICS environment have rapidly increased. Security threat scenarios help to design security strategies in cybersecurity training, including analysis, prediction, and response to cyberattacks. For successful cybersecurity training, research is needed to develop valid and reliable security threat scenarios for meaningful training. Therefore, this paper proposes a case-based security threat scenario development methodology for cybersecurity training in the ICS environment. To this end, we develop a methodology consisting of five steps based on analyzing actual cybersecurity incident cases targeting ICS. Threat techniques are standardized in the same form using objective data based on the MITER ATT&CK framework, and then a list of CVEs and CWEs corresponding to the threat technique is identified. Additionally, it analyzes and identifies vulnerable functions in programming used in CWE and ICS assets. Based on the data generated up to the previous stage, develop security threat scenarios for cybersecurity training for new ICS. As a result of verification through a comparative analysis between the proposed methodology and existing research confirmed that the proposed method was more effective than the existing method regarding scenario validity, appropriateness of evidence, and development of various scenarios.
This study sought to figure out women's needs during early postpartum for developing adequate nursing intervention toward postpartal women's healthy adaptation. A convenience sample of 89 women who are in the early postpartal period and admitted in a university hospital located in Seoul, Korea was studied from July 1, 1999 to August 13. 1999. 1. The age group of 26-30 years was 52.8% and the level of education above high school 91%. 67.6% of women had no job, 62.9% had experienced one time of delivery, and 52.8% had no experience of abortion. 2. 31.5% of women received prenatal education, 44.9% only postpartal education. 77.5% of women planned breast-feeding, and 53.9% of women had an experience of breast-feeding during hospital stay. For the feeling of confidence related to the self-care, 27% only expressed 'yes. I have' and 59.5% 'just a little bit'. For the feeling of confidence related to the baby rearing, 29.2% only expressed 'yes. I have' and 60.7% 'just a little bit'. 3. The rate of postpartal women's mother as a preferred non-professional care giver was the highest, 75.3%. The rate of the style of Sanhujori highly preferred and planned at this time was at postpartal women's maiden home or her home with mother, 58.4%, 47.7% respectively. It shows that women still wish to have traditional Sanhuiori at home. 4. The mean of nursing need of postpartal women was 4.25% and it means that universally the degree of nursing need during postpartum is still high. General nursing need (4.29) was higher than that of traditional Sanhujori (4.09), however, the need of Sanhujori is still high. 5. Specifically, the degree of nursing need according to the category of needs was 'educational need for baby rearing,' 4.43; 'emotional-psychological care', 4.41; 'environmental care,' 4.31; 'self-care,' 4.14; and 'physical care,' 3.85 in rank. The educational need core of the specific method about Sanhuiori (4.35) was second to the highest among 15 items of self-care. 6. The related factors to the degree of nursing need were age to physical care; educational level, plan of breast feeding and experience of breast feeding during hospital stay to emotional-psychological care; and the feeling of confidence in baby rearing to environmental care. 7. There was highly positive correlation between the degree of traditional Sanhujori need and general care need(r=.77). This result strongly reflects that there is a necessity of professional care givers' capability to consider the integrative care reflecting the socio-cultural need for women's healthy adaptation during postpartum. It provides a challenge to the professional care givers to research further on the effects of Sanhuiori on the health status, health recovery after abortion or delivery from the various aspects through the cross-sectional and longitudinal research for the refinement of the reality of Sanhuiori not only as cultural phenomenon but as an inseparable factor influencing on women's postpartal healthy adaptation and for the appropriateness of intervention and quality of care for desirable health outcome.
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