• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.42 no.5
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• pp.251-258
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• 2016

Objectives: The aim of this retrospective study was to investigate factors associated with increased difficulty in the surgical extraction of impacted lower third molars and to improve identification of difficult cases. Materials and Methods: A total of 680 patients who required 762 surgical extractions of impacted lower third molars from 2009 to 2014 were enrolled in the study. Demographic factors, clinical factors, radiographic factors, surgical extraction difficulty, and presumed causes of difficulty were collected. Data were statistically analyzed using IBM SPSS Statistics version 23. Results: Age, sex, depth of impaction, and blurred radiographic image influenced difficulty in surgical extraction. The position of the impacted tooth influenced surgical difficulty, especially when it was accompanied by other factors. Conclusion: It is challenging to design a reliable and practical instrument to predict difficulty in surgical extraction of impacted lower third molars. To identify very difficult cases, root investigation using computed tomography is advised when impacted tooth position suggests difficult extraction.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.4
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• pp.526-539
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• 2013

This study analyzed the effects of internet fashion consumer's anticipated regret and the selection difficulty on decision making delay and purchase switching intention. The survey was conducted in 2012 on internet fashion consumers in their 20s to 40s from May 1 to June 30; subsequently, 487 responses were used for the data analysis. The anticipated regret of internet fashion consumers was composed of product, service, social psychology, and function-related anticipated regret. The selection difficulty of internet fashion consumers was composed of process, information, and experience-related selection difficulty. There are significant differences in anticipated regret, selection difficulty, decision making delay, and purchase switching intention by gender. The anticipated regret (product, service, and social psychology-related anticipated regret) and selection difficulty effected decision making delay. In addition, the anticipated regret for product and selection difficulty by process or information influenced purchase switching intention. The results of this study provide useful information on the success and efficient operation of internet shopping malls.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.157-168
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• 2015

The difficulty of the game is closely related to the fun of the game. However, it is not easy to determine the appropriate level of difficulty of the game. In most cases, human playtesting is required. But even so, it is still hard to quantitatively evaluate difficulty of the game. Thus, if we perform quantitative evaluation of the difficulty automatically it will be very helpful in game developments. In this paper, we use a path finding algorithm to evaluate difficulty of exploration in a game level. Exploration is a basic attribute in common video games and it represents the overall difficulty of the game level. We also optimize the proposed evaluation algorithm by using previous exploration histories when available area in an game level is dynamically expanded and the new search is required.

• Human Ecology Research
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• v.59 no.3
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• pp.387-400
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• 2021

This study examined the structural relationship between children's academic stress, grit, executive function difficulty, and media device addiction. Data on 1,132 children and their mothers from the 11^th (2018)Panel Study on Korean Children were used for the study. Data were collected by Academic Stress Scale, Grit Scale-Children, Child-Adolescent Self-reported Executive Function Difficulty Screening Questionnaire, and K-Internet Addiction Scale. Data were analyzed using SPSS 25.0 and AMOS 23.0 program with Pearson correlation, structural equation model and bootstrapping. The main results were as follows. 1) Children's academic stress had a negative influence on their grit. 2) Children's grit had a negative influence on their executive function difficulty and media device addiction. 3) Children's executive function difficulty had a positive influence on their media device addiction. 4) The relationship between children's academic stress and media device addiction was mediated by their grit and executive function difficulty. This study is significant in the sense that it found protective factors and risk factors for children's addiction to media devices. We suggest that children's grit be improved, and their academic stress and executive function difficulty be reduced to prevent and mediate children's media device addiction.

• Korean Journal of Biological Psychiatry
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• v.20 no.2
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• pp.40-44
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• 2013

Objectives The purpose of this study was to examine the differences according to depressive symptom-related difficulty status. Methods 2828 participants were a divided into depressive symptom-related difficulty group (difficult group, n = 774), and a non-depressive symptom-related difficulty group (not difficult group, n = 2054). The psychological character of the participants were assessed using the Korean version of the Patient Health Questionnaire-9 (PHQ-9), Satisfaction with Life Scale (SWLS), the 12-item General Health Questionnaire (GHQ-12), and Conner-Davidson Resilience Scale (CD-RISC). Statistical analyses were done using t-test, chi-square, and analysis of covariance (ANCOVA). Results Compared with the no difficulty group, the difficulty group reported significantly higher score in all items of PHQ-9. The score of "feeling tired" was the highest and the score of "suicidal ideation" is the lowest in both groups. ANCOVA analysis that is adjusted with the total score of PHQ-9 showed the differences in SWLS, GHQ-12, and CD-RISC scores between the difficulty group and the no difficulty group. Conclusions The findings suggest that there are different characters on PHQ-9, SWLS, GHQ-12, and CD-RISC according to depressive symptom-related difficulty. Therefore, it is required not only to evaluate depressive symptoms in patients with depression, but also the depressive symptom-related difficulty to understand these differences.

• The Journal of Health Technology Assessment
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• v.6 no.2
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• pp.100-105
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• 2018

Objectives: The purpose of this research is to investigate regional variations of mastication difficulty rates in the elderly over 65 in 229 primary autonomous districts in Korea and explore relevant characteristics. For the research data, local community health survey conducted in 2015 and data from Ministry of the Interior and Safety, Ministry of Health & Welfare, National Health Insurance Service and Statistics Korea were used. Methods: Frequency analysis was conducted for general characteristics and mastication difficulty rates of each region, and distribution of mastication difficulty rates was displayed for each town, city and province by mapping them. Extremal quotient (EQ), coefficient of variation (CV) values were calculated for regional variations, and logistic regression analysis was performed to reveal the relationship between each independent variable and mastication difficulty rates. Results: The average of standardized mastication difficulty rate was 46.78%, and regional variations were significant with EQ 3.46, CV 0.18. Characteristic factors that have significant effects on mastication difficulty rate included sex ratio, elderly population and the number of dentists per 10000 people. Conclusion: As a result, there were variations among mastication difficulty rates in 229 primary local governments across the country, and the distribution of health care resources by the characteristics of the local environment by region affected mastication difficulty rates. Accordingly, it is required to provide political supports to overcome regional inequality of oral health levels and develop cooperative system between local governments and local dentists.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.2
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• pp.11-24
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• 2022

For the questions asked for LMS-based online evaluation the professor directly set exam questions, or use the automatic question-taking method according to the level of difficulty using the question bank divided by category. Among them, it is important to manage the difficulty of questions in an objective and efficient way, above all, in the automatic question-taking method according to difficulty. Because the questions presented to the evaluators may be different. In this paper, we propose an difficulty re-adjustment algorithm that considers not only the correct rate of a problem but also the time taken to solve the problem. For this, a logistic regression classification algorithm was used of machine learning, and a reference threshold was set based on the predicted probability value of the learning model and used to readjust the difficulty of each item. As a result, it was confirmed that there were many changes in the difficulty of each item that depended only on the existing correct rate. Also, as a result of performing group evaluation using the adjustment difficulty problem, it was confirmed that the average score improved in most groups compared to the difficulty problem based on the percentage of correct answers.

• Journal of the Korean Society of Safety
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• v.7 no.3
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• pp.60-65
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• 1992

As many industrial workers have been involved with computer terminal tasks, for example, monitor ing, inspection, or computer da4a entry etc., concerns for difficulty evaluation of computer terminal tasks are Increased. This study provides that eyeblink can be used as a means of difficulty evaluation of a computer terminal lask. Four subjects without color blindness are asked to perform the monitoring task of the binary choice type under five levels of task difficulty. In each task, eyeblink rates and eyeblink interval times were measured from the subjects. The results show that the eyeblink rate does decrease with an Increase in task difficulty. In addition, it was found that both eyeblink interval time and eyeblink Interval time variation increased with an increase in task difficulty. It was concluded that the change of eyeblink rate, eyeblink interval time and eyeblink interval time and eyeblink interval time variation could be regarded as a generalized response to the imposition of task difficulty.

• Biomedical Science Letters
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• v.28 no.3
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• pp.178-185
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• 2022

The purpose of this study was to analyze the effect of chewing difficulty on osteoarthritis in Korean adults. Data from the National Health and Nutrition Examination Survey for two years from 2019 to 2020. The collected data were analyzed using the SPSS (21.0) program using composite samples, and the mean crossover analysis and logistic return analysis were performed. An analysis of the effects of chewing difficulty on osteoarthritis in korean adults showed that those with chewing difficulty had a 2.02 fold higher risk of osteoarthritis (95%CI=1.56~2.42) and a statistically significant difference (P<0.05). The association between the chewing difficulty on osteoarthritis could be confirmed, and measures improve of the oral health and preventing osteoarthritis should be prepared.

• The KIPS Transactions:PartD
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• v.12D no.3 s.99
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• pp.471-480
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• 2005

Most questions made for remote examinations on web-based education system use methods of making questions using fixed questions or randomly using item pools or automatically using degree of difficulty. Particularly, automatically selection methods using degree of difficulty is the kernel of a question that objectivity of the first degree of difficulty for questions and an effective questions selection using degree of difficulty and mediateness degree of difficulty based result of examination. This paper is use automatically selection methods for examination on web-based education system. Firstly, we present new question selection algorithms as regards degree of difficulty and distribution between all units. Secondly, we present new algorithms of mediateness degree of difficulty as regards education ability of students for adjust the degree of difficulty. We identified this algorithms is more effective as compared with previously algorithms on web-based education system.