• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.7
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• pp.758-769
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• 2003

In this research, I classified adult women's back types through anthropometric measurement and photographic measurement to present a judging individual body size according to the type. Also, Ⅰ calculated regression fomula by types and presented the basic bodice pattern. The results were as follows: 1. The result of factor analysis indicated that 5 factors were extracted and those factors comprised 75.89% of total variance. 2. According to the cluster analysis, Ⅰclassified the back types into 6 types. Type 1 was passive posture in the upper and the lower parts of the back. Type 2 was active posture in the upper and the lower parts of the back. Type 3 had the lowest protrusion of the back. Type 4 had the upper part of the back which is mostly bent downward. Type 5 was the most suitable shape. Type 6 had the lower part of the back which was turned over the most. 3. Ⅰconducted a discriminant analysis to judge the body types of individuals. 4. For the calculation of measurements necessary for the basic bodice pattern, Ⅰpresented regression formulas by each type. 5. By conducting the wearing experiments, Ⅰsuccessfully made the final basic bodice patterns by types. As a result of comparative experiments between the basic bodice patterns and comparison bodice pattern, the suitability of basic bodice patterns were more highly assessed.

• The Journal of Information Systems
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• v.29 no.2
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• pp.71-94
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• 2020

Purpose With the development of Social Network Service(SNS) and mobile devices, many companies have been using the Facebook as a Word-of-Mouth(WOM) channel. This study examines the effects of psychological distance and message type on WOM using the Facebook's real messages. And the moderating effect of the message type on the relationship between psychological distance and WOM was also analyzed. Design/methodology/approach A content analysis was used as a research method. A total 7,483 messages were collected from 50 companies' Facebook Fanpage (based on the ranking of socialbakers.com) and content analysis was conducted using human coding. As the influencing variables, the message type and psychological distance and the number of 'Likes', 'Share', and 'Comment' were used as the dependent variable. The R3.4.4 was used to perform descriptive statistics, cross-tab analysis, and analysis of variance(ANOVA). Findings First, a larger proportion of Facebook messages have close psychological distance for all message types(information, advertisement, event, and customer relationship). Second, 'Like' and 'Comment' number were significantly higher in messages of close psychological distance. Third, the effects of psychological distance on 'Like', 'Share', and 'Comment' number were different according to message type. However, 'advertisement' message type had significantly more numbers for all WOMs('Like', 'Share', and 'Comment') in messages with close psychological distance.

• Structural Engineering and Mechanics
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• v.76 no.5
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• pp.561-578
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• 2020

The present work addresses the surface integrity and chip morphology in finish hard turning of AISI D3 steel under nanofluid assisted minimum quantity lubrication (NFMQL) condition. The surface integrity aspects include microhardness, residual stress, white layer formation, machined surface morphology, and surface roughness. This experimental investigation aims to explore the feasibility of low-cost multilayer (TiCN/Al2O3/TiN) coated carbide tool in hard machining applications and to assess the propitious role of minimum quantity lubrication using graphene nanoparticles enriched eco-friendly radiator coolant based nano-cutting fluid for machinability improvement of hardened steel. Combined approach of central composite design (CCD) - analysis of variance (ANOVA), desirability function analysis, and response surface methodology (RSM) have been subsequently employed for experimental investigation, predictive modelling and optimization of surface roughness. With a motivational philosophy of "Go Green-Think Green-Act Green", the work also deals with economic analysis, and sustainability assessment under environmental-friendly NFMQL condition. Results showed that machining with nanofluid-MQL provided an effective cooling-lubrication strategy, safer and cleaner production, environmental friendliness and assisted to improve sustainability.

• Journal of Korean Academy of Nursing
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• v.53 no.3
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• pp.340-358
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• 2023

Purpose: This study aimed to develop an instrument to showcase Dignity in Care of Terminally Ill Patients for Nurses and to examine its validity and reliability. Methods: A total of 58 preliminary items on dignity in care of terminally ill patients for nurses were selected using content validity analysis and expert opinions on 97 candidate items derived through a literature review and qualitative focus group interviews. Questionnaires were administered to 502 nurses caring for terminally ill cancer patients at hospice and palliative care institutions. The data were analyzed using item analysis, exploratory and confirmatory factor analysis, convergent and discriminant validity, and Pearson correlation for criterion validity, reliability was tested using Cronbach's alpha. Results: The final instrument consisted of 25 items, with four factors identified through confirmatory factor analysis. Four factors-ethical values and moral attitudes, interaction-based communication, maintaining comfort, professional insight and competence-accounted for 61.8% of the total variance. Cronbach's α for total items was .96, and test-retest reliability of intraclass correlation coefficient was .90. Conclusion: Since its validity and reliability have been verified through various methods, the Dignity in Care Scale of Terminally Ill Patients for Nurses can be used for develop nursing interventions and improve dignity in care of terminally ill patients.

• Phonetics and Speech Sciences
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• v.7 no.4
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• pp.77-83
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• 2015

Voice complication without the laryngeal nerve injury can occur after thyroidectomy. The purpose of this study is to investigate voice changes according to extent of thyroidectomy with acoustic analysis. Thirty-five female patients with papillary thyroid carcinoma took voice evaluation at before and 1 month, and 3 months after thyroidectomy. Acoustic analysis parameters were speaking fundamental frequency(SFF), min $F_0$, max $F_0$, dynamic range $F_0$, jitter, shimmer, noise-to-harmonic ratio(NHR), and Cepstral prominence peak(CPP). Repeated-measured analysis of variance was applied. Time-related voice changes showed significant differences in all parameters except NHR. At 1 month after surgery, voice quality was worse and pitch was decreasing, but voice quality and pitch were improving at 3-month follow-up. Voice changes according to the extent of surgery were in SFF, max $F_0$, and dynamic range $F_0$. Time by surgery-related voice change existed only in min $F_0$. The result showed that the severity of voice complication depended on the extend of thyroidectomy which had a negative impact on $F_0$-related parameters. The deterioration of voice quality at 1 month after thyroidectomy may be affected by the loss of thyroid hormone in the blood. The descent of $F_0$-related parameters may be impacted by laryngeal fixation of surgical site adhesion.

• Journal of Korean Academy of Nursing
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• v.43 no.3
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• pp.379-388
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• 2013

Purpose: The purpose of this study was to develop a tool to evaluate patient safety culture in nursing homes and to test its validity and reliability. Methods: A preliminary tool was developed through interviews with focus group, content validity tests, and a pilot study. A nationwide survey was conducted from February to April, 2011, using self-report questionnaires. Participants were 982 employees in nursing homes. Data were analyzed using Cronbach's alpha, item analysis, factor analysis, and multitrait/multi-Item analysis. Results: From the results of the analysis, 27 final items were selected from 49 items on the preliminary tool. Items with low correlation with total scale were excluded. The 4 factors sorted by factor analysis contributed 63.4% of the variance in the total scale. The factors were labeled as leadership, organizational system, working attitude, management practice. Cronbach's alpha for internal consistency was .95 and the range for the 4 factors was from .86 to .93. Conclusion: The results of this study indicate that the Korean Patient Safety Culture Scale has reliability and validity and is suitable for evaluation of patient safety culture in Korean nursing homes.

• Journal of Korean Academy of Nursing
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• v.49 no.5
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• pp.643-654
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• 2019

Purpose: The purpose of this study was to develop and psychometrically test the Korean Geriatric Loneliness Scale (KGLS). Methods: The initial items were based on in-depth interviews with 10 older adults. Psychometric testing was then conducted with 322 community-dwelling older adults aged 65 or older. Content, construct, and criterion-related validity, classification in cutoff point, internal consistency reliability, and test-retest reliability were used for the analysis. Results: Exploratory factor analysis showed three factors, including 15 items explaining 91.6% of the total variance. The three distinct factors were loneliness associated with family relationships (34.3%), social loneliness (32.4%), and a lack of belonging (24.9%). As a result of confirmatory factor analysis, 14 items in the three-factor structure were validated. Receiver operating characteristic analysis demonstrated that the KGLS' cutoff point of 32 was associated with a sensitivity of 71.0%, specificity of 80.2%, and area under the curve of .83. Reliability, as verified by the test-retest intraclass correlation coefficient, was .89, and Cronbach's ${\alpha}$ was .90. Conclusion: As its validity and reliability have been verified through various methods, the KGLS can contribute to assessing loneliness in South Korean older adults.

• Journal of Nutrition and Health
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• v.45 no.6
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• pp.600-612
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• 2012

Nutritional researchers world-wide are using large-scale sample survey methods to study nutritional health epidemiology and services utilization in general, non-clinical populations. This article provides a review of important statistical methods and software that apply to descriptive and multivariate analysis of data collected in sample surveys, such as national health and nutrition examination survey. A comparative data analysis of the Korea National Health and Nutrition Examination Survey (KNHANES) was used to illustrate analytical procedures and design effects for survey estimates of population statistics, model parameters, and test statistics. This article focused on the following points, method of approach to analyze of the sample survey data, right software tools available to perform these analyses, and correct survey analysis methods important to interpretation of survey data. It addresses the question of approaches to analysis of complex sample survey data. The latest developments in software tools for analysis of complex sample survey data are covered, and empirical examples are presented that illustrate the impact of survey sample design effects on the parameter estimates, test statistics, and significance probabilities (p values) for univariate and multivariate analyses.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.7
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• pp.1019-1028
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• 2004

The purpose of this study was to compare the body measurements of cyclists and non-cyclists and to classify cyclists＇ body types to offer basic information for the bicycle apparel manufacturer in Korea. The anthropometric data was collected including both direct and indirect measurements of 81 cyclists (40 female, 41 male) aged from 19 to 24. Anthropometric measurements were analyzed using percentiles, T-test, factor and cluster analysis. The results were as follows; Comparison of anthropomeoic data between cyclist and non-cyclist was to clarify that cyclists have bigger size than non-cyclists; especially the thigh circumference shows big differences. As the result of factor analysis, 5 factors, which explain 74% of variance, were extracted from all items for male and female cyclists. The results of cluster analysis classified body types into 3 groups. Cluster 1 among three female cyclist groups has biggest torso and had an erect back. Cluster 2 has small size among three female group and drooping shoulders. Cluster 3 has the bended forward shoulders and shows the protrusion back. In case of male cyclists, cluster 1 has thin body type owing to big height measurements and small girth measurements. Cluster 2 among three male groups has the biggest torso and thigh circumference. Cluster 3 has big forward angle of shoulders and shows the protrusion of the back as female cyclist.

• Journal of Korea Multimedia Society
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• v.20 no.1
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• pp.43-50
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• 2017

According to living environment, the number of deaths due to thyroid diseases increased. In this paper, we proposed an algorithm for recognizing a thyroid detection using texture analysis based on shape, gray level co-occurrence matrix and gray level run length matrix. First of all, we segmented the region of interest (ROI) using active contour model algorithm. Then, we applied a total of 18 features (5 first order descriptors, 10 Gray level co-occurrence matrix features(GLCM), 2 Gray level run length matrix features and shape feature) to each thyroid region of interest. The extracted features are used as statistical analysis. Our results show that first order statistics (Skewness, Entropy, Energy, Smoothness), GLCM (Correlation, Contrast, Energy, Entropy, Difference variance, Difference Entropy, Homogeneity, Maximum Probability, Sum average, Sum entropy), GLRLM features and shape feature helped to distinguish thyroid benign and malignant. This algorithm will be helpful to diagnose of thyroid nodule on ultrasound images.