• Journal of The Korean Society of Integrative Medicine
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• v.11 no.2
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• pp.61-68
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• 2023

Purpose : In this study, a group art therapy program was applied to mothers who are the main rears of disabled children to confirm its effect by comparing the self-esteem and parenting efficacy of the mothers prior to and after the program. Methods : 17 subjects recruited by using the 2-group prior-after control group study design method were randomly allocated. The study was conducted on 8 subjects in the experimental group for whom an art therapy program is applied and 9 subjects in the control group. The experimental group was subjected to group art therapy lasting 60 minutes once a week. Activity goals and contents were predetermined for each subject for each session, and a total of 10 sessions of the program was applied for 10 weeks. Self-esteem and parenting efficacy prior to and after the program of the subjects were measured by using corresponding self-esteem and parenting efficacy scales. Measurement data were analyzed by using the Mann-Whitney Test. Results : It was possible to observe that the self-esteem and parenting efficacy of the subjects in the experimental group to whom the art therapy program was applied underwent more significant changes in comparison to those of the control group (p<.01). Conclusion : Group art therapy induces social support experiences of group therapy and an improvement of an assertive attitude towards art therapy. Since there was a significant improvement of self-esteem and parenting efficacy in the results of this study when the group art therapy program is applied, it is believed its clinically meaningful application would be possible. In particular, it can be utilized in programs for disabled children in a family unit from the perspective that it improves parenting efficacy, which can impart an affirmative effect not only to the main rear but also to all the family members.

• Korea Science and Art Forum
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• v.28
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• pp.175-184
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• 2017

This study aims to investigate the relations between the components of memorable tourism experience(MTE) and satisfaction, as well as loyalty. Research method and results of this study are as follows. Using the advance research of memorable tourism experience theory, the measurement scales were developed for the survey. Data were collected from the major cities in Dajeon, Korea between Jun. 1~Jul, 10, 2016. Of the 295 surveys collected, the researchers retained 274 usable responses. Data were used to examine the relations among characteristics of memorable tourism experience, satisfaction, and loyalty. The results indicated that the components of memorable tourism experience comprise nine factors. Moreover, part of the factors revealed to have significant positive effects on the satisfaction and loyalty. The results of this study provide implications for determining how tourism operators should prioritize their business resources in developing tourism programs.

• Journal of Preventive Medicine and Public Health
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• v.57 no.3
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• pp.279-287
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• 2024

Objectives: This study validated the Vietnamese version of the Disaster Adaptation and Resilience Scale (DARS) for use in vulnerable communities in Vietnam. Methods: This was a cross-sectional study involving 595 adults from 2 identified communities. The original DARS assessment tool was translated, and the validity and reliability of the Vietnamese version of DARS (V-DARS) were assessed. The internal consistency of the overall scale and its subscales was evaluated using Cronbach's alpha and McDonald's omega reliability coefficients. Confirmatory factor analysis (CFA) was employed to evaluate its construct validity, building upon the factor structure identified in exploratory factor analysis (EFA). Construct validity was assessed based on convergent and discriminant validity. Results: Following the established criteria for EFA, 8 items were removed, resulting in a refined V-DARS structure comprising 35 items distributed across 5 distinct factors. Both alpha and omega reliability coefficients indicated strong internal consistency for the overall scale (α=0.963, ω=0.963) and for each of the 5 sub-scales (all>0.80). The CFA model also retained the 5-factor structure with 35 items. The model fit indices showed acceptable values (RMSEA: 0.072; CFI: 0.912; TLI: 0.904; chi-square test: <0.01). Additionally, the convergent and discriminant validity of the V-DARS were deemed appropriate and satisfactory for explaining the measurement structure. Conclusions: Our findings suggest that the V-DARS is a valid and reliable scale for use within vulnerable communities in Vietnam to assess adaptive responses to natural disasters. It may also be considered for use in other populations.

• Journal of Forest and Environmental Science
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• v.40 no.1
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• pp.1-8
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• 2024

Recently, intensive research has been conducted to develop innovative methods for diagnosing plant diseases based on hyperspectral technologies. Hyperspectral analysis is a new subject that combines optical spectroscopy and image analysis methods, which makes it possible to simultaneously evaluate both physiological and morphological parameters. Among the physiological and morphological parameters are classifying healthy and diseased plants, assessing the severity of the disease, differentiating the types of pathogens, and identifying the symptoms of biotic stresses at early stages, including during the incubation period, when the symptoms are not visible to the human eye. Plant diseases cause significant economic losses in agriculture around the world as the symptoms of diseases usually appear when the plants are infected severely. Early detection, quantification, and identification of plant diseases are crucial for the targeted application of plant protection measures in crop production. Hence, this can be done by possible applications of hyperspectral sensors and platforms on different scales for disease diagnosis. Further, the main areas of application of hyperspectral sensors in the diagnosis of plant diseases are considered, such as detection, differentiation, and identification of diseases, estimation of disease severity, and phenotyping of disease resistance of genotypes. This review provides a deeper understanding, of basic principles and implementation of hyperspectral sensors that can measure pathogen-induced changes in plant physiology. Hence, it brings together critically assessed reports and evaluations of researchers who have adopted the use of this application. This review concluded with an overview that hyperspectral sensors, as a non-invasive system of measurement can be adopted in early detection, identification, and possible solutions to farmers as it would empower prior intervention to help moderate against decrease in yield and/or total crop loss.

• Dementia and Neurocognitive Disorders
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• v.23 no.2
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• pp.95-106
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• 2024

Background and Purpose: Ventricle enlargement has been implicated in the pathophysiology of Alzheimer's disease (AD). We studied the relationship between ventricular size and cognitive function in patients with AD. We focused on the effect of the initial ventricle size on the rate of cognitive decline in patients with AD. Methods: A retrospective analysis of probable clinical AD participants with more than 2 magnetic resonance imaging images was performed. To measure ventricle size, we used visual rating scales of (1) Cardiovascular Health Study (CHS) score and (2) conventional linear measurement method. Results: Increased clinical dementia rating (CDR) was correlated with a decreased Mini-Mental Status Examination (MMSE) score, and increased medial temporal lobe atrophy (MTLA) and global ventricle size (p<0.001, p<0.001, p=0.021, respectively). There was a significant correlation between the change in cognitive function in the group (70%-100%ile) with a large initial ventricle size (p=0.021 for ∆CDR, p=0.01 for ∆MMSE), while the median ventricle size (30%-70%ile) showed correlation with other brain structural changes (MTLA, frontal atrophy [FA], and white matter) (p=0.036 for initial MTLA, p=0.034 for FA). Conclusions: In this study, the initial ventricle size may be a potential new imaging biomarker for initial cognitive function and clinical progression in AD. We found a relationship between the initial ventricle size and initial AD-related brain structural biomarkers.

• Women's Health Nursing
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• v.7 no.1
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• pp.18-29
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• 2001

The purpose of this study was to provide basic data from confirming factors that could help nurses tailor counseling program for married couples who were facing the prospect of a hysterectomy. A descriptive design was used to study a total of 81 married couples(total of 162 subjects) between 2 to 18 months after hysterectomy, due to a benign gynecology disease at a University Hospital in Daegu by questionnaires from March, 1999 to June, 2000. This study used Sexual Knowledge Measurement of Koo, Ja-sung(1996), Sexual Attitude Scales of Hudson, Murphy and Nurius(1994), Sexual Attitude Measurement of Jang, Soon-bok(1989), Sexual Activity Questionnaires of Thiriaway, Fallowfield and Cuzick(1996) modified and supplemented by advice of experts in order to measure sexual knowledge, sexual attitude and sexual activity, and Sexual Function Inventory of Derogatis(1979) translated by Jang, Soon-bok(1984) was used to measure sexual satisfaction of the subjects. For data analysis, the study executed $x^2$-test, t-test, ANOVA, Pearson correlation and multiple regression in accordance with the purpose of study by SPSS/PC+ WIN 10.0 program. Also this study obtained Cronbach's alpha for examination of reliability. The results are as follows : 1) The sexual knowledge of the husband was higher than that of the wife after hysterectomy by showing the mean 11.27(${\pm}2.72$) in case of the wife and the mean 11.57(${\pm}2.28$) in case of the husband, but there was no statistically significant difference(t=.681, p=.497). 2)The sexual attitude of the husband was more liberal than that of the wife after hysterectomy by showing the mean 3.25(${\pm}.48$) in case of the wife and the mean 3.42(${\pm}.48$) in case of the husband, and there was statistically significant difference(t=2.399, p=.018). 3)There was no statistically significant difference between the score of sexual activity of wife and husband by period elapsed after hysterectomy. 4)There was no statistically significant difference between the score of sexual satisfaction of wife and husband by period elapsed after hysterectomy. 5)The wife subjects showed positive correlation among sexual knowledge, sexual attitude, sexual activity and sexual satisfaction. The husband subjects showed positive correlation only between sexual knowledge and sexual activity, sexual activity and sexual satisfaction, sexual attitude and sexual satisfaction, sexual knowledge and sexual satisfaction. There was a positive correlation between the sexual knowledge, sexual attitude, sexual activity and sexual satisfaction of the wife and husband. 6)Only the variable of sexual activity among factors of sexual satisfaction of the wife subjects showed the statistical significance(F=52.452, p<0.001), while variables of sexual attitude (F=20.360, p<0.001) and sexual activity (F=14.142, p<0.05) among factors of sexual satisfaction of the husband subjects showed a statistical significance.

• Korean Journal of Occupational Health Nursing
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• v.7 no.1
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• pp.65-82
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• 1998

This study was carried out in order to confirm the reliability and validity of the commitment inventory developed by Meyer and Allen, and to investigate commitment level of health manager, to compare two different professionals of health manager such as industrial health nurse and industrial hygienist to find out some characteristics that have effect on commitment. This survey was done by self-administered questionnaire to 227 respondents as the trainees of Industrial Safety Training Center, KISCO from June to December 1996. Authors classified commitment into two categories ; professional commitment and organizational commitment, and these two types of commitments have three different aspects ; affective, continuance, and normative commitment based on Meyer's inventory. The results were as follows; 1. Items of whole scales of the both type of commitments have three factors that represent three aspects of commitment ; affective, continuance, and normative commitment. This means that each type of commitment was reliable to use as measurement tool of three different aspects of commitment. Classification of items by factor analysis was more consistent in professional commitment than organizational commitment. Among 16 items of organizational commitment, four items were classified into different aspects of commitment with similar factor loading. 2. Commitment level of industrial health nurse was higher than that of industrial hygienist in affective, continuance professional commitment controlled by other characteristics. These differences can be due to other characteristics of specific task and background of health managers that were not used in this study. 3. The level of affective professional commitment was statistically different in age, sex, educational level, and that of organizational commitment was statistically different in only two variables such as age, and job tenure. The level of continuance professional and organizational commitments were different in sex group, but past history of employment have effect on continuance organizational commitment. The level of normative organizational commitment was affected by only age. As the above results, the tools of measurement of commitment developed by Meyer and Allen can be useful to measure the level of commitment of health manager. Three aspects of two types of commitments were influenced by different characteristics of health manager. Authors suggested future study on the affecting variables to the commitment such as background, task of health manager and organizational characteristics.

• Journal of the Korean Society for Nondestructive Testing
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• v.31 no.4
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• pp.351-359
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• 2011

In a structure, damage can occur at several scales from micro-cracking to corrosion or loose bolts. This makes the identification of damage difficult with one mode of sensing. Hence, a multi-mode actuated sensing system is proposed based on a self-sensing circuit using a piezoelectric sensor. In the self sensing-based multi-mode actuated sensing, one mode provides a wide frequency-band structural response from the self-sensed impedance measurement and the other mode provides a specific frequency-induced structural wavelet response from the self-sensed guided wave measurement. In this study, an experimental study on the pipeline system is carried out to verify the effectiveness and the robustness of the proposed structural health monitoring approach. Different types of structural damage are artificially inflicted on the pipeline system. To classify the multiple types of structural damage, a supervised learning-based statistical pattern recognition is implemented by composing a two-dimensional space using the damage indices extracted from the impedance and guided wave features. For more systematic damage classification, several control parameters to determine an optimal decision boundary for the supervised learning-based pattern recognition are optimized. Finally, further research issues will be discussed for real-world implementation of the proposed approach.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.2
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• pp.328-339
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• 2010

This study was conducted to develop a service quality measurement scale suitable for the fast food restaurant segment. After reviewing the relevant literature, it was decided that the current service quality measurement scales (SERVQUAL, SERVPERF, DINESERV) are not appropriate for the fast food restaurant segment. Based on Cronin & Taylor's (1994) argument, perceived service quality is a form of attitude that represents a long-term overall evaluation of the company. Therefore, this study selected SERVPERF items for the initial pool of service quality items. Through a systematic scale development process, the SERVPERF instrument was then refined and a new concise scale was produced. Specifically, a focus group discussion with a group of patrons who are very familiar with fast food restaurants was conducted and the new service quality measure was refined so that it would be more realistic and closely describe service operation in the fast food industry. Moreover, the data collected from 112 college students who visit fast food restaurants frequently were used to statistically evaluate each of the items again via EFA (Exploratory Factor Analysis) and three sub-dimensions were derived: (1) responsiveness, (2) tangibles, and (3) reliability. Additionally, the data collected from 179 fast food restaurant consumers was used to conduct CFA (Confirmatory Factor Analysis). During this process, the convergent validity, discriminant validity, and internal consistency were double-checked. Overall, the newly developed scale achieved validity and reliability on a theoretical and statistical basis. Possible interpretations and managerial implications are also suggested.

• Journal of the Korea institute for structural maintenance and inspection
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• v.15 no.3
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• pp.134-141
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• 2011

There have been increased economic and societal demands to continuously monitor the integrity and long-term deterioration of civil infrastructures to ensure their safety and adequate performance throughout their life span. However, it is very difficult to continuously monitor the structural condition of the pipeline structures because those are placed underground and connected each other complexly, although pipeline structures are core underground infrastructures which transport primary sources. Moreover, damage can occur at several scales from micro-cracking to buckling or loose bolts in the pipeline structures. In this study, guided wave measurement can be achieved with a self-sensing circuit using a piezoelectric active sensor. In this self sensing system, a specific frequency-induced structural wavelet response is obtained from the self-sensed guided wave measurement. To classify the multiple types of structural damage, supervised learning-based statistical pattern recognition was implemented using the damage indices extracted from the guided wave features. Different types of structural damage artificially inflicted on a pipeline system were investigated to verify the effectiveness of the proposed SHM approach.