• Journal of Korean Academy of Nursing
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• v.51 no.3
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• pp.363-379
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• 2021

Purpose: The purpose of this study was to evaluate the validity and reliability of the Korean version of Person-Centered Practice Inventory-Staff (PCPI-S) for nurses. Methods: The English PCPI-S was translated into Korean with forward and backward translation. Data were collected from 338 nurses at one general hospital in Korea. Construct validity was evaluated with confirmatory factor analysis, convergent validity, and discriminant validity. Known-group validity was also evaluated. Cronbach's α was used to assess the reliability. Results: The PCPI-S Korean version consisted of 51 items in three areas: prerequisites, the care environment, and person-centered process. The comparative fit index (CFI) and values of person-centered care process were improved after engagement and having sympathetic presence items were combined as one component. The construct validity of PCPI-S Korean version was verified using four-factor structures (.05 < RMSEA < .10, AGFI > .70, CFI > .70, and AIC). The convergent validity and discriminant validity of the entire PCPI-S question were verified using a two-factor structures (AVE > .50, construct reliability > .70). There was an acceptable known-group validity with a significant correlation between the PCPI-S level and the degree of person-centered care awareness and education. Internal consistency was reliable with Cronbach's α .95. Conclusion: The Korean version of PCPI-S is valid and reliable. It can be used as a standardized Korean version of person-centered care measurement tool. Abbreviation: RMSEA = root mean square error of approximation; AGFI = adjusted goodness of fit index; AIC = Akaike information criterion; AVE = average variance extracted.

• Research in Community and Public Health Nursing
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• v.31 no.4
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• pp.416-426
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• 2020

Purpose: The aim of this study was to evaluate the validity and reliability of the Korean version of Short-form Health Literacy Scale (HLS-SF-K12) for Adults. Methods: The English HLS-SF12 was translated into Korean with forward and backward translation. Survey data were collected from 204 adults who visited two hospitals in Korea. Content validity, construct validity, and known-groups validity were evaluated. Cronbach's α for internal consistency and test-retest were used to assess reliability. SPSS 21.0 and AMOS 21.0 software were used for data analysis. Results: The HLS-SF-K12 was composed of 12 items, and three subscales (health care, disease prevention, and health promotion). The instrument explained reliable internal consistency with Cronbach's α for the total scale of .89, and .74~.81 for subscales. The model of three subscales for the HLS-SF-K12 was validated by confirmatory factor analysis (Normed χ2=2.14 (p<.001), GFI=.92, RMR=.04, RMSEA=.08, CFI=.94, TLI=.92, IFI=.94). The hypothesis testing which analyzed the differences in health literacy by age and education level was satisfied. Conclusion: The HLS-SF-K12 is a valid and reliable instrument for measuring health information comprehension for adults in Korea.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.4
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• pp.510-518
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• 2022

The diagnostic evaluation conducted at the national level is very important to detect underachievers in school early. This study used an artificial intelligence method to find the characteristics of underachievers that affect learning development for middle school students. In this study an artificial intelligence model was constructed and analyzed to determine whether the Busan Education Longitudinal Data in 2020 by entering data from the first year of middle school in 2019. A predictive model was developed to predict basic middle school Korean, English, and mathematics education with machine learning algorithms, and it was confirmed that the accuracy was 78%, 82%, and 83%, respectively, in the prediction for the next school year. In addition, by drawing an achievement prediction decision tree for each middle school subject we are analyzing the process of prediction. Finally, we examined what characteristics affect achievement prediction.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.

• The Journal of Korean Obstetrics and Gynecology
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• v.35 no.3
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• pp.56-73
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• 2022

Objectives: This study was aimed to review the effect of acupuncture for insomnia in climacteric syndrome. Methods: Researchers searched data through 5 online databases up to December 2021. The data was limited to randomized controlled trial studies on patients diagnosed with insomnia in climacteric syndrome. Results: 8 Randomized controlled trials were included in this study. 6 of studies were published in Chinese, in China. 2 were published in English. Intervention of treatment group were composed of simple acupuncture. Intervention of control group were made up with Estazolam, Alprazolam, Lorazepam and sham-acupuncture. Outcome measurements were Total effective rate, Pittsburgh Sleep Quality Index (PSQI), Kupperman index, Menopause Quality of Life scales (Men-QoL), the level of hormones (E2, FSH, LH) etc. In all outcome measurements, treatment group were more effective than control group and it was statistically significant. Conclusions: Acupunture therapy is effective for treating insomnia in climacteric syndrome. Pittsburgh Sleep Quality Index (PSQI) is most frequently used for sleep assessment indicator. 神門 (HT7) is the most frequently used acupoint for treatment group. However because insomnia in climacteric syndrome is easy to recur, additional long-term research is needed.

• Archives of Plastic Surgery
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• v.50 no.4
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• pp.361-369
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• 2023

The latissimus dorsi (LD) flap is a reliable option for breast reconstruction. This is particularly true in patients with contraindications to abdominally based autologous breast reconstruction. A systematic review of patient satisfaction and health related quality of life following LD breast reconstruction using the BREAST-Q survey was conducted. The scope of the review was to determine the degree of patient satisfaction following the procedure and to examine how patient satisfaction from the pedicled LD flap compares to other breast reconstructive procedures. A literature search on BREAST-Q in LD flap reconstruction was performed. Only articles written in English and in published peer-reviewed journals were included. Studies with less than 20 patients in their sample and those with a follow-up period of less than 1 year were excluded. Five articles representing 331 patients were reviewed, including one case-control study and four retrospective cohort studies. Level of evidence was either III (4) or IV (1). The average age was 53 with average body mass index of 25. Most reconstructions were delayed (67%) and unilateral (88%), and most patients required radiation (79%). The average length of follow-up was 36 months, and the response rate was 75%. Overall, patients who underwent LD flap reconstruction reported favorable outcomes in satisfaction domains and quality of life domains with few complications. A meta-analysis also demonstrated higher satisfaction in LD flap without implants compared with LD flap with implants. Patient-reported outcomes following LD breast reconstruction compare favorably with other techniques of breast reconstruction.

• Korean Journal of Clinical Pharmacy
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• v.33 no.1
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• pp.51-61
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• 2023

Background: Mobile applications (apps) on dietary supplements can increase consumers' access to information. However, it can lead to indiscriminate use of dietary supplements. This study aims to systematically review dietary supplement apps released in English and Korean and evaluate the quality of those apps. Methods: Through the app stores, apps on dietary supplements were systemically searched and examined. Two independent evaluators evaluated the apps and presented a mean score using the Mobile App Rating Scale (MARS). The correlation between MARS scores, user and evaluator ratings, and the number of secondary features of the apps were analyzed. Results: Of the 2,772 dietary supplement apps identified, 17 apps were included according to the selection criteria. The mean MARS score was 3.28 (standard deviation: 0.29) out of 5. Apps had higher scores in aesthetics and functionality dimensions, while engagement and information dimensions had lower scores. There was a positive correlation between the number of app downloads and information among MARS dimensions. The subjective evaluation also correlated with the information dimension. There was a positive correlation between the secondary features of the apps and MARS total score as well as the engagement dimension. Conclusion: The dietary supplement apps need to be managed at a higher level of quality to provide safe and reliable information to consumers. Especially, quality on information and engagement dimensions can be improved. Involvement of healthcare professionals in the app development, management with adequate referencing of information, and use of secondary features for enhanced user engagement can be helpful.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.117-122
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• 2021

In order to reveal the co-research relationship with key research institutes in the computer field in Korea, which have high competitiveness in the ICT field, this paper analyzes the co-author network of research institutes based on the papers of Korean journals. For this study, 15 computer journals published in Korea were selected and collected for the past 5 years. In addition, authors, affiliated institutions, and country information were extracted from the papers, and experimental data were produced using institutional identification data and SNA analysis techniques. Through this, statistical analysis was performed on researchers, research institutes, and countries, and the centrality of research institutes was measured through co-authored network analysis and visualized as a map. The results of the research that analyzed the co-author relationship based on the papers in computer science journals published in Korea are as follows. First, the status of co-author relations among researchers was statistically analyzed in detail. The number of authors, the number of co-authors, and statistics by co-authoring countries, as well as the ratio of co-authored research by institution and the ratio of co-authored by country were revealed. The co-authoring status of papers in English journals was analyzed separately to compare and analyze characteristics. Second, the centrality of each individual was measured through the co-authored network analysis of the identified researchers, institutions and countries affiliated with the institution, and the frequency of connection between data by level was identified. In addition, the co-authorization network between research institutes was visualized and presented as a map so that the overall view of the co-authoring network was presented, and the connection frequency between the institutes was checked. It is possible to recommend a research partner based on the co-authoring behavior of Korean computer researchers and the co-authoring relationship between major research institutes. For this, additional research is needed to analyze the subject areas of each institution.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.141-148
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• 2021

The mainstream tool for software education for elementary students is Educational Programming Language. It is essential for upper graders to advance from EPL to text based programming language. However, many students experience difficulty in adopting to this change since Python is run in English. Python is an actively used TPL. This study focuses on developing an education program to facilitate learning Python for Korean speaking students. We have extracted the necessary reserved words needed for data analysis in Python. Then we replaced the extracted words into Korean terms that could be understood in elementary level. The replaced terms were matched on one-to-one correspondence with reserved words used in Python. This devised program would assist students in experiencing data analysis with Python. We expect that this education program will be applied effectively as a basic resource to learn TPL.

• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.4
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• pp.450-468
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• 2023

Purpose: This study aimed to conduct a qualitative synthesis of workplace bullying experiences among nurses in Republic of Korea. Methods: Following the PRISMA guideline, a literature search was conducted using seven domestic and three international databases. Studies published in Korean or English from inception to December 31, 2022 were included. A meta-aggregation approach suggested by the Joanna Briggs Institute was used to synthesize the research findings. Results: Fourteen studies were included in this review. As a result of a data analysis of the selected studies, 199 subthemes and supporting illustrations were identified and grouped into 36 related categories. Based on the subthemes and categories, five synthesized findings were developed: (1) the individual and organizational causes of workplace bullying; (2) the various types of physical violence and psychological harassment; (3) the negative impact of workplace bullying and its effect on self-growth; (4) active and passive coping efforts in dealing with bullying; and (5) strategies for preventing bullying incidents. Conclusion: Based on the synthesized findings, four recommendations were made: (1) improving the challenging working conditions for nurses; (2) enhancing educational programs for new nursing graduates; and (3) promoting proactive responses from nursing managers in conjunction with an expansion of resilience training for nursing students. Finally, to address the issue of workplace bullying, (4) multi-center and multi-level research involving nursing organizations needs to be conducted.