• Women's Health Nursing
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• v.28 no.3
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• pp.197-209
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• 2022

Purpose: This study aimed to investigate family functioning among spouses of gynecologic cancer patients in Korea. McCubbin and McCubbin's Family Resilience Model (1993) guided the study focus on burden of care, family resilience, coping, and family functioning. Methods: An online survey collected data from 123 spouses of gynecologic cancer patients through convenience sampling from online communities for gynecologic cancer patients in Korea. Burden of care, family resilience (social support, family hardiness, and family problem-solving communication), coping, and family functioning were measured by self-report. Results: The patients (44.7%) and their spouses (47.2%) were mostly in the 41 to 50-year age group. Stage 1 cancer was 44.7%, and cervical cancer was the most common (37.4%) followed by ovarian cancer (30.9%) and uterine cancer (27.6%) regarding the cancer characteristics of the wife. Family function, burden of care, family resilience, and coping were all at greater than midpoint levels. Family functioning was positively related with social support (r=.44, p<.001), family hardiness (r=.49, p<.001), problem-solving communication (r=.73, p<.001), and coping (r=.56, p<.001). Multiple regression identified significant factors for family functioning (F=25.58, p<.001), with an overall explanatory power of 61.7%. Problem-solving communication (β=.56, p<.001) had the greatest influence on family function of gynecologic cancer families, followed by coping (β=.24, p<. 001) and total treatment period of the wife (β=.17, p=.006). Conclusion: Nurses need to assess levels of family communication and spousal coping to help improve gynecologic cancer patients' family function, especially for patients in longer treatment.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.107-116
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• 2022

In the Chinese workplace, the use of SNS such as Wechat and QQ for work delivery out of duty hours has become a very common phenomenon, which is also known as the "new night shift". This study is to empirically analyze the effect of work delivery using SNS out of duty hours on job performance. A questionnaire survey was conducted with 310 Chinese workplace employees. In order to verify the hypothesis, structural equation model analysis will be implemented. Analyzing the questionnaire data and receiving frequent work delivery using SNS out of duty hours will increase job stress, aggravate the conflicts between work and family, and lead to the decrease of job engagement and job performance. The study provides implications for the establishment of related theories by providing a different view form previous research results that work delivery using SNS out of duty hours will definitely improve job performance. In addition, in future studies, it will be necessary to analyze the effect of the moderating effect in converging these conflicting views.

• Fashion & Textile Research Journal
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• v.24 no.1
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• pp.117-126
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• 2022

This study aims to analyze the sizing information of women's ready-to-wear pants as indicated on online retail websites and to suggest better sizing communication that can assist customers in making successful apparel size selections. We gathered size specifications and size reference information for basic straight pants from 34 online apparel retail websites. Although the Korean standard recommends labeling the body dimension-based sizing code and specification, most websites preferred to use various types of sizing codes. Body measurements were only used by a few websites, and garment dimension descriptions were the most common method to indicate product size. Many websites provided size reference information through customer review boards and fit model images, however, there was insufficient body size information to allow customers to infer the fit of their body type. When using the size guidance tools, the major data input points were stature and weight measurements. However, the waist measurements of pants sizes guided only by stature and weight values revealed inconsistent ease allowance for corresponding body size populations, especially in the overweight group. Based on our findings, we propose a more effective method of communicating the size information of pants online. We expect that this will contribute to the efficiency of online apparel product display and build a better shopping environment that satisfies both sellers and consumers.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.373-386
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• 2022

Purpose: This study proposes the application of Six Sigma management innovation method for more systematically enhanced execution of Quality by Design (QbD) activities. QbD requires a deeper understanding of the product and process at the design and development stage of the drug, and it is very important to ensure that no fault is fundamentally generated through thorough process control. Methods: Analyzing the background and specific procedures of quality improvement based on the drug design basis, and analyzing the key contents of each step, we have differentated and common points from the 6 Sigma methodology. We propose a new model of Six Sigma management innovation method suitable for pharmaceutical industry. Results: Regulatory agencies are demanding results from statistical analysis as a scientific basis in developing medicines to treat human life through quality improvement activities based on drug design. By utilizing the education system to improve the statistical analysis capacity in the Six Sigma activities and operating the 6 Sigma Belt system in conjunction, it helped systematically strengthen the execution power of quality improvement activities based on pharmaceutical design based on the members of the pharmaceutical industry. Conclusion: By using QbD Six Sigma, which combines quality enhancement based on pharmaceutical design basis and Six Sigma methodology suitable for pharmaceutical industry, it is possible to obtain satisfactory results both by pharmaceutical companies and regulators by using appropriate statistical analysis methods for preparing scientific evidence data required by regulatory.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.35 no.4
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• pp.1-30
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• 2022

Objectives : The purpose of this study was to explore the experience of patients with facial palsy symptoms treated with Korean medicine treatment(KMT) after western treatment. Methods : We conducted an individual in-depth interview with 10 participants who had experience in both western and KMT for facial palsy symptoms. This qualitative study adopted the grounded theory of Strauss and Corbin, and collected data was analyzed by using coding(open-axial-selective) that was performed to create paradigm model, which can explain this study's main theme. Results : The central phenomenon of this study was 'choosing Korean medicine treatment after western treatment preceded', and the core category was derived as 'selecting process of KMT after western medical treatment and improvement plan of Korean medicine treatment'. Conclusions : For patients with facial palsy, KMT was perceived as an essential treatment rather than an alternative, and recognized as the main treatment. Patients didn't settle for western treatment which was in progress, actively selected KMT and suggested the specific plan for improvement of KMT. Through this, we should be considered the direction of the KMT for facial palsy symptom which is the common disease of KMT.

• Animal Bioscience
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• v.35 no.5
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• pp.778-788
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• 2022

Objective: The objective of the study was to understand and document socio-economic characteristics, production parameters, challenges and management practices used by Fijian households which keep indigenous chickens. Methods: A survey involving 200 households was carried out in coastal and inland communities of Fiji's wet and semi-dry ecoregions. Data on the influence of ecoregion and location of households relative to the sea on management practices, challenges and productivity of indigenous chickens were analyzed using logistic regression and general linear model of SAS software. Results: Irrespective of location relative to the sea and ecoregion, households indicated that they kept indigenous chickens for food and income generation. The Welsummer was the most (p>0.05) preferred breed. Households in the semi-dry inland communities had the largest (p<0.05) flocks compared to those in semi-dry coastal communities and the wet region. Chickens in the semi-dry region performed better (p<0.05) than those in the wet region in terms of number of clutches per year and mature live weight. Predators and feed shortages were the biggest challenges faced by households in all areas. The mongoose was ranked as the most (p>0.05) common predator followed by domestic dogs. Most households in the wet ecoregion's coastal communities housed their chickens at night, whereas communities in semi-dry ecoregion housed their chickens most of the time (p<0.05). In all regions, no households sold their chickens to commercial markets (p>0.05). Households in semi-dry ecoregion were more likely (p>0.05) to sell their chickens at the local market place. Conclusion: The productivity of local chickens in Fiji is low because of feed shortage, predators such as the mongoose and lack of market linkages.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.1
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• pp.99-111
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• 2023

Purpose : Although quantitative research on alcohol consumption among nursing students is important, qualitative research is needed to determine the subjective views of individual students, such as their feelings and thoughts, and ensure the implementation of a targeted alcohol intervention program. Q-methodology is a systematic approach that examines the subjective perspectives of individuals, including their views, beliefs, and attitudes, enabling understanding of the types and characteristics according to the individual's subjectivity structure. This study examined the subjective perceptions of drinking among freshmen in nursing college using Q methodology. Methods : Q-sorting was conducted, collecting 38 P samples and 40 statements. The data were analyzed using the PC QUANL program. The principal component factor analysis method was used for Q-factor analysis. Results : The results identified four types of drinking perceptions among freshmen in nursing college. Type 1 was "safety and health pursuit," type 2 was "friendship pursuit," type 3 was "'norm-oriented," and type 4 was "sound manners." When looking at the subjective perceptions of drinking among freshmen in nursing college, there was a common opinion that drinking should not be forced and that it is an individual choice. However, the difference in views (positive and negative) of drinking shows the need for customized educational programs and interventions suitable for each type. Conclusion : Nursing freshmen should be prepared to play an important role in health care as an educational role and model in preventing damage from drinking and maintaining health promotion throughout their life by habituating proper drinking behavior during college life. In addition, it is necessary to develop a plan to increase positive awareness of drinking among nursing students through various strategic programs that can participate in sobriety prevention programs within the university.

• Women's Health Nursing
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• v.28 no.4
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• pp.296-306
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• 2022

Purpose: This study investigated the effects of peripheral neuropathy symptoms, self-care ability, and disturbances to daily life on quality of life (QoL) among gynecological cancer patients undergoing chemotherapy. Methods: The participants included 144 patients with gynecological cancer undergoing anticancer chemotherapy at a tertiary hospital in Seoul, South Korea, from December 1, 2021 to January 28, 2022. Convenience sampling was used to recruit patients who had received 4 or more cycles of chemotherapy using a paclitaxel-platinum regimen, and a self-reported questionnaire was used to collect data. Descriptive statistics, the t-test, analysis of variance, Scheffé test, Pearson correlation coefficients, and multiple regression analysis were performed. Results: Most of the participants had ovarian cancer (70.1%) or endometrial cancer (14.6%), and the most common number of treatment cycles was 6 to 10 (29.2%). The mean QoL (60.83±19.89) was greater than the midpoint. The regression model analyzing the patients' QoL was statistically significant (F=15.38, p<.001) with an explanatory power of 56.7%. Self-care ability (β=.39, p<.001), disturbances to daily life (β=-.38, p<.001), the duration of peripheral neuropathy symptoms (β=2.14, p=.034), and regular exercise (β=-2.12, p=.036) were found to significantly affect QoL. Conclusion: Efforts to improve the self-care ability of gynecological cancer patients who have experienced peripheral neuropathy after receiving chemotherapy and mitigate disturbances to their daily life can improve their QoL. Healthcare professionals should identify peripheral neuropathy symptoms and examine the effects of the symptoms on patients' daily lives. Improving the self-care ability of patients and alleviating their limitations in daily life may improve QoL.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.139-166
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• 2022

Ethical Issues increase when people engage in smart technological systems such as 5G, IoT, Cloud computing services and AI applications. Range of this research is comparison of various literacy concepts and its ethical issues in considering of 5G features and UX. 86 research papers and reports which have been published within the recent 5 years (2017-2022), relating the research subject, are investigated and analyzed. Two results show that various literacies can be grouped into four areas and that some of common issues among those areas as well as unique issues of each area are identified. Based on the literature analysis, an Operational Definition of Ethics-Literacy is presented and the model of ethics-literacy curriculum supporting ethical behavior of 5G information professionals is developed and suggested.

• Journal of Korean Society on Water Environment
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• v.38 no.6
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• pp.292-305
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• 2022

The Yeongsan River, one of the four largest rivers in South Korea, has been facing difficulties with water quality management with respect to algal bloom. The algal bloom menace has become bigger, especially after the construction of two weirs in the mainstream of the Yeongsan River. Therefore, the prediction and factor analysis of Chlorophyll-a (Chl-a) concentration is needed for effective water quality management. In this study, Chl-a prediction model was developed, and the performance evaluated using machine and deep learning methods, such as Deep Neural Network (DNN), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost). Moreover, the correlation analysis and the feature importance results were compared to identify the major factors affecting the concentration of Chl-a. All models showed high prediction performance with an R² value of 0.9 or higher. In particular, XGBoost showed the highest prediction accuracy of 0.95 in the test data.The results of feature importance suggested that Ammonia (NH₃-N) and Phosphate (PO₄-P) were common major factors for the three models to manage Chl-a concentration. From the results, it was confirmed that three machine learning methods, DNN, RF, and XGBoost are powerful methods for predicting water quality parameters. Also, the comparison between feature importance and correlation analysis would present a more accurate assessment of the important major factors.