• Fashion & Textile Research Journal
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• v.13 no.4
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• pp.624-634
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• 2011

The purpose of this study is to develop the pattern of safety clothes used at flat or mountainous areas and to identify the pattern of safety clothes by conducting experimental evaluation of virtual wear. Three subjects were selected, based on fire fighters' physical constitution. A prototype design for safety clothing was determined after in-depth interviewing of professionals and surveying of Forest service staff and related agency. Wearing test should be carried out in the order of pattern making, virtual and real wearing evaluation. For data analysis, technical statistical values should be obtained by using body measurements of subject, frequency analysis and T-test. The jacket is designed to have a front extension and the entire length of clothing enough for wearer to put on it over ordinary shirts or sweater. The collar of jacket is of round type. Cyber reality enables to identify the movement and activity of virtual fitting model and to find out errors or problems in safety clothing prior to on-the-spot wear test, thus raising the precision level of pattern. There was significant difference between real and virtual fit preference. The results show that the virtual try-on system need the development of a specific style.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.5313-5318
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• 2012

Psycho-educational interventions are not a substitute for analgesics, but they may serve as adjuvant therapy. Nurses can provide psychoeducational programmes to cancer patients to assist them in optimizing behavior that strengthen adjustment. The aim here was to determine the effects of psychoeducation on levels of adjustment to cancer in stage I-II breast cancer patients who met the study criteria (experimental group: 38 women, control group:38 women). The psychoeducational program consisted of eight 90 minute weekly sessions and data were collected using a questionnaire and the Mental Adjustment to Cancer Scale three times: before, six weeks and six months after the intervention. Data analysis was performed using descriptive statistical methods as well as the Chi square test, the Mann Whitney U test, repeated measures analysis of variance, the matched pairs t test and the Post Hoc Bonferroni test. The results at 6 weeks and 6 months after the program revealed that the experimental group had higher levels of "fighting spirit", lower levels of "helplessness/hopelessness, anxious preoccupation and fatalism" but there was no significant change in levels of "avoidance/denial" compared to the control group with regard to adjustment to cancer. In this study, psychoeducation was shown to cause positive changes in levels of adjustment to cancer in breast cancer patients

• Journal of Korean Academy of Psychiatric and Mental Health Nursing
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• v.27 no.4
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• pp.370-379
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• 2018

Purpose: The purpose of this study was to test the mediating effect of depression on the relationship between gambling severity and cognitive distortion in Koreans with a gambling disorder. Methods: Secondary data from a comprehensive assessment of problematic gambling between 2015 and 2017 on Korea Center on Gambling Problems were used. The subjects in this study were 254 Koreans with that gambling disorder. Data were collected with self-report structured questionnaires which included individual characteristics, the Korean version of Problem Gambling Severity Index, the Center for the Epidemiologic Studies Depression, and the Gambling Related Cognitions Scale. Data were analyzed by using descriptive statistics, independent t-test, one-way ANOVA with the $Scheff{\acute{e}}$ test, Pearson's correlation coefficients, and a mediation analysis of the Baron and Kenny method with the SPSS 22.0 program. Results: Significant correlations emerged among the three variables, gambling severity, depression, and cognitive distortion. Depression exerted a partial mediating effect (${\beta}=.20$, p<.001) on the relationship between gambling severity and cognitive distortion (Sobel test: z=2.33, p=.012). Conclusion: Based on this study's findings, nursing intervention programs focused on managing gambling severity and decreasing depression are highly recommended to alleviate cognitive distortion in people with a gambling disorder.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.5
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• pp.537-546
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• 2021

Remanufacturing is one of the most important resource recycling technology in response to resource depletion and environmental pollution. Domestic remanufacturing industry don't invigorate compared to other advanced countries because of low price and reliability of remanufactured product. In this study, remanufactured hydraulic pump and solenoid valve were evaluated durability by accelerated life test. In order that standard remanufacturing process was developed by core analysis and failure mode and effect analysis. And cores were remanufactured by standard remanufacturing process. For accelerated life test, the evaluation item and criteria were deduced by results of FMEA, reliability standards and enterprise interior criteria. To evaluate durability of remanufactured product, the remanufactured hydraulic pump and solenoid valve were evaluated performance after accelerated life test and the results were satisfied with criteria. This study showed that remanufactured products have a similar level of durability to new products by definition of remanufacturing.

• Journal of Fashion Business
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• v.27 no.2
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• pp.52-69
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• 2023

Based on five types of health KF masks currently being commercialized, this study analyzed results of a survey of 316 male and female college students with experience in wearing health masks in Seoul metropolitan area. By identifying problems and improvement requirements according to current status of wearing health masks, results of this study could be used as basic data for designing ergonomic health mask with improved ease of wearing and satisfaction for human safety protection in the future. SPSS 26.0 statistical program was used for all data analyses, including post-hoc test, χ² test for cross-analysis, frequency analysis, independent samples t-test, ANOVA, and Duncan test. Considering that masks are worn for more than 8 hours a day on average, it is necessary to design masks considering materials, sizes of mask ear straps, elasticity and thickness of straps. The design should minimize contact with lips and cheeks with improved fit and comfort, blocking performance, and aesthetics. According to this survey, nearly 50% of respondents said they were willing to wear masks even after the end of COVID-19. Thus, it is necessary to perform research and improve masks to have excellent colors, designs, shapes, fit, and functions suitable for both pandemic and post-pandemic era when wearing masks is common.

• Journal of the Korean Society of School Health
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• v.13 no.1
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• pp.117-129
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• 2000

The relationships between children's health behavior and variables that effect children's health behavior has been investigated in a number of previous studies. This study was conducted to examine the effects of a peer's social reinforcement on children's dental health behavior in an elementary school. The research design was a nonequivalent pre and post-test quasi-experimental design and the study subjects with one hundred and thirteen eight to nine years old children, and their mothers (57 experimental group, 56 control group) were selected as a study group. Subjects were selected by the convenience sampling method. The study was carried out in an elementary school in Namwon city, Korea, from the 26th of April to the 12th of June in 1999. Data were collected in both the pre and post-test portions. Using the "Health Belief Model", each item of the questionnaire for measurement of dental health behavior was modified and administered for the children and their mothers. The questionnaire for the measurement of dental health behavior was developed by Oh, Y.B.(1994). The Cronbach's ${\alpha}$ of the questionnaire for children were .81, and for the mother were .79. In this study, the health belief model consists of "perceived susceptibility", "perceived seriousness", "perceived barrier", "perceived salience", and "perceived benefit". The questionnaire for the children was composed of 37 items, and the questionnaire for the mother was composed of 40 items. Data were analyzed by frequency, ${\chi}^2-test$, ANOVA, Pearson's Correlation, and multiple regression analysis by a SAS program. The results of this study were summarized as follows ; 1. The first hypothesis that the experimental group would have more change in the frequency of brushing per week than that of control group was accepted(t=3.817, p=0.000). Mean tooth brushing scores in the experimental group improved significantly from pre-test to post-test, but in the control group there was no significant improvement in tooth brushing scores. 2. The second hypothesis that the experimental group would have more change in score of dental health behavior than that of control group was accepted(benefit : t=2.804, p=0.006, salience: t=2.608, p=0,010). An evaluation between the experimental group and the control group showed significant change from pre-test to post-test in health behavior scores. 3. The third hypothesis that higher scores of social reinforcement would create more change in the scores of tooth brushing frequency in the experimental group was accepted(${\beta}$=0.169, p=0.000. Multiple regression was used to examine the peer's social reinforcement scores and the relative influence of significant variables in previous ANOVA and Pearson's correlation test on children's frequency of brushing during the post-test. The results of the study indicated that the combination of social reinforcement of peers with variables pertaining to mother and householder were significantly related and effectively improved a child's tooth brushing.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.99-113
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• 2022

This study is descriptive research to investigate the effects of COVID-19 stress, interpersonal (caregiver-patient) stress, and emotional labor on burnout in emergency room (ER) nurses during the COVID-19 pandemic. The data collection of this study was conducted from December 9 to 23, 2021 with ER nurses working at five tertiary general hospitals and general hospitals of Medical Center H. The data was collected with a questionnaire using tools measuring the subjects' general & job-related characteristics, COVID-19 stress, interpersonal(caregiver-patient) stress, emotional labor and burnout. The collected data was analyzed using the SPSS/WIN 25.0 statistical program for frequency analysis, descriptive statistical analysis, independent sample t-test, one-way ANOVA, Scheffé test, correlation analysis, and multiple regression analysis. The average score of COVID-19 stress in ER nurses was 3.64, interpersonal(caregiver-patient) stress 4.35, emotional labor 3.38, and burnout 3.44. As a result of analyzing differences according to general & job-related characteristics, burnout showed a significant difference according to gender, marital status, total clinical experience, and working organization. And burnout showed a significant positive correlation with COVID-19 stress, interpersonal stress and emotional labor. As a result of multiple linear regression analysis, regional emergency medical centers and local emergency medical centers among the work organization types, interpersonal stress, COVID-19 stress, and gender and the explanatory power was 28.6%. Through these results, we intend to provide basic data for the development of an intervention program to prevent burnout of emergency room nurses and improve nursing performance at the time of a new infectious disease pandemic.

• Korean Journal of Radiology
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• v.23 no.12
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• pp.1251-1259
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• 2022

Objective: T1 mapping provides valuable information regarding cardiomyopathies. Manual drawing is time consuming and prone to subjective errors. Therefore, this study aimed to test a DL algorithm for the automated measurement of native T1 and extracellular volume (ECV) fractions in cardiac magnetic resonance (CMR) imaging with a temporally separated dataset. Materials and Methods: CMR images obtained for 95 participants (mean age ± standard deviation, 54.5 ± 15.2 years), including 36 left ventricular hypertrophy (12 hypertrophic cardiomyopathy, 12 Fabry disease, and 12 amyloidosis), 32 dilated cardiomyopathy, and 27 healthy volunteers, were included. A commercial deep learning (DL) algorithm based on 2D U-net (Myomics-T1 software, version 1.0.0) was used for the automated analysis of T1 maps. Four radiologists, as study readers, performed manual analysis. The reference standard was the consensus result of the manual analysis by two additional expert readers. The segmentation performance of the DL algorithm and the correlation and agreement between the automated measurement and the reference standard were assessed. Interobserver agreement among the four radiologists was analyzed. Results: DL successfully segmented the myocardium in 99.3% of slices in the native T1 map and 89.8% of slices in the post-T1 map with Dice similarity coefficients of 0.86 ± 0.05 and 0.74 ± 0.17, respectively. Native T1 and ECV showed strong correlation and agreement between DL and the reference: for T1, r = 0.967 (95% confidence interval [CI], 0.951-0.978) and bias of 9.5 msec (95% limits of agreement [LOA], -23.6-42.6 msec); for ECV, r = 0.987 (95% CI, 0.980-0.991) and bias of 0.7% (95% LOA, -2.8%-4.2%) on per-subject basis. Agreements between DL and each of the four radiologists were excellent (intraclass correlation coefficient [ICC] of 0.98-0.99 for both native T1 and ECV), comparable to the pairwise agreement between the radiologists (ICC of 0.97-1.00 and 0.99-1.00 for native T1 and ECV, respectively). Conclusion: The DL algorithm allowed automated T1 and ECV measurements comparable to those of radiologists.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.349-357
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• 2019

The purpose of this study was to investigate the effects of body mass index(BMI) on insulin. fasting blood sugar(FBS), and hemoglobin A1c(HbA1c). This study analyzed the data of 2015, The Sixth KNHANES, and it was included to 4554 subject over 20 years old. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficient and stepwise multiple regression analysis(SPSS 25.0). The major findings, BMI was positively correlated with insulin(r=0.397, p<0.001), FBS(r=0.241, p<0.001), and HbA1c(r=0.237, p<0.001). Factors affecting insulin are overweight(${\beta}=.130$, t=8.193, p<0.001), obesity(${\beta}=.390$, t=24.390, p<0.001) and age. the explanatory power is 13.1% (F=53.584, p<0.001). Factors affecting FBS were overweight(${\beta}=.072$, t=4.478, p<0.001), obesity(${\beta}=.186$, t= 11.485, p<0.001), age, the explanatory power was 10.6% (F=42.351, p<0.001). Factors affecting HbA1c were overweight(${\beta}=.059$, t=3.712, p<0.001), obesity(${\beta}=.190$, t=11.895, p<0.001) age and sex, the explanatory power is 14.1% (F=58.134, p<0.001). Based on this study result, diabetes mellitus prevention and management programs should include interventions related to obesity.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.24 no.6 s.177
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• pp.1529-1539
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• 2000

A newly developed optimization method which uses the genetic algorithm combined with the sensitivity analysis is presented in this paper. The genetic algorithm is a probabilistic method, searching the optimum at several points simultaneously, requiring only the values of the object and constraint functions. It has therefore more chances to find global solution and can be applied various problems. Nevertheless, it has such shortcomings that even it approaches the optimum rapidly in the early stage, it slows down afterward and it can't consider the constraints explicitly. It is only because it can't search the local area near the current points. The traditional method, on the other hand, using sensitivity analysis is of great advantage in searching the near optimum. Thus the combination of the two techniques makes use of the individual advantages, that is, the superiority both in global searching by the genetic algorithm and in local searching by the sensitivity analysis. Application of the method to the several test functions verifies that the method suggested is very efficient and powerful to find the global solutions, and that the constraints can be considered properly.