• Journal of Fashion Business
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• v.19 no.5
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• pp.34-47
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• 2015

Sexiness is the image of a person who attracts attention regardless of his/her age, and today's society has created a more positive impression by transforming the image into something others consider even more attractive. Consequently, we begin to take interest in makeup, - a means of portraying a good impression. Eyebrow makeup in particular, being at the center of the determining factor of a good facial image, can be thought of as the makeup that can most effectively transform one's image. The purpose of this study was to analyze the difference in perceived sexiness depending on the general perception of eyebrow makeup. This study produced an eyebrow stimulus that applied the average rate of change in an image transformation of different eyebrows in order to raise the objective credibility of the sensibility evaluation so it could determine the figure of influence that eyebrows had on facial impressions. The research results showed that the majority of female university students believed that eyebrows were an effective means of expression in changing facial images and attributed a higher mature and sexy image if the average ratio of change was higher. The study, could also identify that a sexy image was perceived when the average rate of change was between 0.39~0.44. In addition, when the gradient of the shape of the viewers' own eyebrows was low, it could be verified that they perceived an image to be sexy from seeing eyebrows with a relatively high gradient.

• Journal of Preventive Medicine and Public Health
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• v.19 no.2 s.20
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• pp.184-192
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• 1986

Since the wide spread application of hyperbaric oxygenation in clinical setting, the problems of oxygen toxicity have been attracting a deep interest from the researchers on hyperbaric medicine as a practical issue. Among extensive research trials, the study on the protective agents against oxygen toxicity occupied one of the most challenging field. As the mechanisms of oxygen toxicity, the role of the oxygen free radicals produced by peroxidation process are strongly accepted by the leading researchers on oxygen toxicity, the probable protective effects of antioxidant against oxygen toxicity are sustaining a sufficient rationale. In this study, the author attempted to evaluate the effect of vitamin E as a protective agent against oxygen toxicity through the observation of death rate, convulsion rate, time to convulsion, and macroscopic and microscopic pathological changes of experimental rats exposed to 100% oxygen at 5 ATA for 120 minutes. The findings observed are as follows: 1) The death rate, convulsion rate, time to convulsion, organ/body weight ratio and microscopic pathological findings were identified as reliable objective and quantitative indices for oxygen toxicity. 2) Vitamin E showed excellent protective effects against CNS and pulmonary oxygen toxicity as a strong antioxidant. The most effective dose seemed to be around 400 mg/kg 3) The results of this study are supporting the oxygen free radical hypothesis on oxygen toxicity.

• Journal of Korean society of Dental Hygiene
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• v.9 no.3
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• pp.456-467
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• 2009

For this study, self-completion survey for 149 implant patients of dental clinics and hospitals in Seoul and Kyunggi areahas been executed in order to provide basic data for increasing patient satisfaction level by effective consultation and various information for the patients who want dental implantation. The conclusion of the study is like below. 1. In terms of demographics of the study, sample size of female patients(n=85) was more than that of male patients(n=64) and patients in their 50s were major age group. When it comes to the educational level, university graduates were 85 and high school graduates were 44. And 132 were married and 6 were single. In the income level, monthly income between KRW 2~4 million was major group(n=59). 2. In the study, patients' most concern was complication or adverse events(n=41), and price(n=39) & annual dental check-up(n=49) were following it. And 80 patients responded that dental health is the most valuable(n=80) and whole body health was following(n=37). In terms of knowledge on dental implant, 100 patients responded 'know just a little', 31 and 13 answered 'generally know' and 'well know' each. 3. As a result of analyzing implant patients' satisfaction level by segment, general satisfaction rate was highest as 4.20, social satisfaction rate was 4.20, psychological function was 4.06 and masticatory function was 3.90. 4. Based on the result of comparing patient satisfaction level by general characters of dental implant patient, chewing function was the highest in the age group of 60s with score of 4.21 and in terms of social function, the group with over KRW 8 million of monthly income showed highest score with 4.54. When it comes to the psychological function, patients in their 70s showed highest satisfaction level with 4.52. In the end, patients in their 70s showed highest score with 4.81 in the overall satisfaction and it was also statistically significant. 5. In the overall satisfaction level by interest in dental health, appearance showed highest score with 4.57 and it was also significantly higher than that of whole body. In the variance by dental knowledge, 'well know' group showed highest score with 4.58, and that of 'just a little' group was 4.33. That means there are correlations between dental knowledge and satisfaction level. 6. As a result of analyzing correlations amongst variances of the study, there were strong positive correlations among them. And there were very significantly positive correlations especially between social and psychological function and between psychological and overall satisfaction level. In conclusion, higher psychological function has strong relations with both social function and overall satisfaction level(p<.001).

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.3
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• pp.95-99
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• 2015

The IRR(internal rate of return) is often used by investors for the evaluation of engineering projects. Unfortunately, it has serial flaws: (1) multiple real-valued IRRs may arise; (2) complex-valued IRRs may arise; (3) the IRR is, in special cases, incompatible with the net present value (NPV) in accept/reject decisions. The efforts of management scientists and economists in providing a reliable project rate of return have generated over the decades an immense amount of contributions aiming to solve these shortcomings. Especially, multiple internal rate of returns (IRRs) have a fatal flaw when we decide to accep it or not. To solve it, some researchers came up with external rate of returns (ERRs) such as ARR (Average Rate of Return) or MIRR (MIRR, Modified Internal Rate of Return). ARR or MIRR. will also always yield the same decision for a engineering project consistent with the NPV criterion. The ERRs are to modify the procedure for computing the rate of return by making explicit and consistent assumptions about the interest rate at which intermediate receipts from projects may be invested. This reinvestment could be either in other projects or in the outside market. However, when we use traditional ERRs, a volume of capital investment is still unclear. Alternatively, the productive rate of return (PRR) can settle these problems. Generally, a rate of return is a profit on an investment over a period of time, expressed as a proportion of the original investment. The time period is typically the life of a project. The PRR is based on the full life of the engineering project. but has been annualised to project one year. And the PRR uses the effective investment instead of the original investment. This method requires that the cash flow of an engineering project must be separated into 'investment' and 'loss' to calculate the PRR value. In this paper, we proposed a tabulated form for easy calculation of the PRR by modifing the profit and loss statement, and the cash flow statement.

• The Journal of Industrial Distribution & Business
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• v.11 no.7
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• pp.41-49
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• 2020

Purpose: The purpose of this study is to recognize the role and necessity of public data visualization through prior research, investigation, and data verification processes. In addition, this study intends to check what factors should be considered in order to visualize data on the mobile web. Through this process, by identifying the cognitive load affecting information visualization by type, as a result, I would like to propose an effective information visualization method to effectively deliver public data related to government policies. Research design, data and methodology: In this study, we analyzed the case of information visualization according to infographics, which has been widely used in the public field among various visualization methods. For this study, a questionnaire survey was conducted for young people in their 20s and 30s with the highest mobile usage rate. Results: Based on the results, IPA (Importance Performance Analysis) was performed to conduct cognitive load test tools for information visualization of public data and confirmed the implications for each type of infographics. Conclusions: As a result of research, in order to efficiently deliver public data on the mobile web, first, it is necessary to construct a visual screen that can be easily identified through clear data. Appropriate graphic elements can be used according to the type to make it easier for users to acquire and understand information. Second, it is necessary to provide useful content in visualizing information. Third, in order to efficiently transmit information and increase understanding of data, it is necessary to visualize information that can induce interest in data and form metaphors. Fourth, it is necessary to visualize information to reduce cognitive load in terms of physical and mental aspects in order to accommodate users' comfortable information. Fifth, in order to effectively deliver public data, it is necessary to compose contents and information that are easy for users to understand. This study examines effective information visualization methods to increase the communication effect of public data in response to changes in the data-based intelligent information society and suggests implications for each type considering cognitive loads to help future public institutions to communicate and accept information.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.10
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• pp.457-464
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• 2014

Foreign language learners want to remember newly learned vocabularies for as long as possible. As demand for learning English as a second language grows, effective ways of memorizing English vocabularies also attract much interest so that various methods and apparatus are developed in order to support effective memorization. In this research, we introduce a new way of memorizing English vocabularies and evaluate the performance compared to an existing qualified method. Our study result shows that learners who memorize English words using our suggested method maintained a higher retention rate than those who studied using the existing method. From this research, we expect to gain new insights of effective way in learning English vocabularies.

• Safety and Health at Work
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• v.13 no.3
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• pp.343-349
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• 2022

Background: In the United States, the dairy product manufacturing industry has consistently had higher rates of work-related nonfatal injuries and illnesses compared to the national average for industries in all sectors. The selection and implementation of appropriate safety performance indicators are important aspect of reducing risk within safety management systems. This study examined the leading safety indicators implemented in the dairy product-manufacturing sector (NAICS 3115) and their perceived effectiveness in reducing work-related injuries. Methods: Perceptions were collected from individuals with safety responsibilities in the dairy product manufacturing facilities. OSHA Incident Rate (OIR) and Days away, restricted and transferred (DART) rates from 2013 to 2018 were analyzed. Results: The perceived most effective leading were safety observations, stop work authority, near miss reporting, safety audits, preventative maintenance, safety inspections, safety training attendance, and job hazard analysis/safety analysis, respectively. The 6-year trend analysis showed that those implementing all eight top indicators had a slightly lower rates than those that did not implement all eight. Production focused mentality, poor training, and lack of management commitment were perceived as the leading causes of injuries in this industry. Conclusion: Collecting leading indicators with the unique interest to meet the regulatory requirements and to document the management system without the actual goal of using them as input to improve the system most probably will not lead to an effective reduction of negative safety outcomes. For leading indicators to be effective, they should be properly selected, executed, periodically evaluated and actions are taken when necessary.

• The Korean Journal of Applied Statistics
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• v.24 no.6
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• pp.1129-1138
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• 2011

Small area estimation has received significant intention in recent years due to a growing demand for reliable local area statistics. Traditional area-specific direct estimates based solely on sample survey data in the areas of interest do not provide adequate small area precision; however, design-based indirect local area estimators borrow strength from sample observations of related areas to increase the effective sample size. Design-based indirect estimation methods such as synthetic and composite estimators are considered to adjust local area unemployment rate estimates in the Korean Economically Active Population Survey. This study suggests an efficient alternative to minimize the cost to construct the unemployment rate of a local area through simulation under the condition that we can maintain a certain level of CV for the estimates. We obtained the results that the composite estimators using a sample size greater than 10 are more stable and significant at the level of CV 25% in our design scheme.

• International Journal of Contents
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• v.10 no.4
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• pp.11-17
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• 2014

The influence of acquisition environment on music score images captured by a camera has not yet been seriously examined. All existing Optical Music Recognition (OMR) systems attempt to recognize music score images captured by a scanner under ideal conditions. Therefore, when such systems process images under the influence of distortion, different viewpoints or suboptimal illumination effects, the performance, in terms of recognition accuracy and processing time, is unacceptable for deployment in practice. In this paper, a novel, lightweight but effective approach for dealing with the issues caused by camera based music scores is proposed. Based on the staff line information, musical rules, run length code, and projection, all regions of interest are determined. Templates created from inverse filter are then used to recognize the music symbols. Therefore, all fragmentation and deformation problems, as well as missed recognition, can be overcome using the developed method. The system was evaluated on a dataset consisting of real images captured by a smartphone. The achieved recognition rate and processing time were relatively competitive with state of the art works. In addition, the system was designed to be lightweight compared with the other approaches, which mostly adopted machine learning algorithms, to allow further deployment on portable devices with limited computing resources.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.4
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• pp.2167-2172
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• 2013

Lung cancer remains a major cause of morbidity and mortality worldwide, accounting for more deaths than any other cause. All the clinical practice guidelines recommended against routine screening for lung cancer have cited lack of robust evidence, at least until a few years back. However, the potential to screen lung cancers has received renewed interest due to superior performance of low dose CT (LD-CT) in detecting early stage cancers. The incremental costs and risks involved due to the invasive procedures in the screened population due to a high false positivity rate questions the use of LD-CT scan as a reliable community based screening tool. There is therefore an urgent need to find a less invasive and a more reliable biomarker that is crucial to increase the probability of early lung cancer detection. This can truly make a difference in lung cancer survival and at the same time be more cost and resource utilization effective. Sampling blood serum being minimally invasive, low risk and providing an easy to obtain biofluid, needs to be explored for potential biomarkers. This review discusses the use of circulatory miRNAs that have been able to discriminate lung cancer patients from disease free controls. Several studies conducted recently suggest that circulating miRNAs may have promising future applications for screening and early detection of lung cancer.