• Journal of Korean Academy of Rural Health Nursing
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• v.16 no.1
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• pp.18-28
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• 2021

Purpose: This study attempted to confirm whether the suicide prevention effect could be achieved by managing the frailty of the elderly in rural areas. Methods: This study is a single-group pre-post study design. The frailty management program was applied twice a week for 12 weeks for the vulnerable elderly in the rural area from 16th April to 31st May in 2020. The program consisted of physical exercise, health education on nutrition management and disease control, cognitive training, and protein drink provision. Results: The average age of the participants was 77.1 years, and they lived alone (88.6%). As a result of providing the program, there were positive results such as increase in body strength (pre 12.27: post 13.27) and weight (pre 58.51: post 59.13), and decrease in depression (pre 4.66: post 1.20), and there was no statistically significant change in quality of life, Time Up & Go, and BMI. Conclusion: Frailty should be managed to prevent suicide in the elderly. It is necessary to expand and apply various programs that combine physical functions and emotional interventions such as health education, and exercise to maintain muscle strength.

• Asia-Pacific Journal of Atmospheric Sciences
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• v.54 no.4
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• pp.563-573
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• 2018

An Expert Seasonal Prediction System for operational Seasonal Outlook (ESPreSSO) is developed based on the APEC Climate Center (APCC) Multi-Model Ensemble (MME) dynamical prediction and expert-guided statistical downscaling techniques. Dynamical models have improved to provide meaningful seasonal prediction, and their prediction skills are further improved by various ensemble and downscaling techniques. However, experienced scientists and forecasters make subjective correction for the operational seasonal outlook due to limited prediction skills and biases of dynamical models. Here, a hybrid seasonal prediction system that grafts experts' knowledge and understanding onto dynamical MME prediction is developed to guide operational seasonal outlook in Korea. The basis dynamical prediction is based on the APCC MME, which are statistically mapped onto the station-based observations by experienced experts. Their subjective selection undergoes objective screening and quality control to generate final seasonal outlook products after physical ensemble averaging. The prediction system is constructed based on 23-year training period of 1983-2005, and its performance and stability are assessed for the independent 11-year prediction period of 2006-2016. The results show that the ESPreSSO has reliable and stable prediction skill suitable for operational use.

• Journal of Korea Multimedia Society
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• v.24 no.1
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• pp.125-133
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• 2021

Due to Covid-19, the un-contact culture has affected society as a whole, and the methods of education conducted offline has been greatly affected. In the private education of preparing for university entrance, the public official examinations and certification acquisition, the method of online education has been shown to have positive effects. While private class and school class which have offered in off-line to cope with rapid changes caused various problems such as decline in quality for education. Due to the characteristic of design class, practical training is important. As interactive feedback between students and educators is more important than one-way of delivering knowledge while class is conducted in online, educators have a challenge when they prepare for class. This study handles the methods of online education for the purpose of practical education methods in university nowadays, Especially, the non-face-to-face education methods for game animation production. Based on this study, I propose an effective educational method with non-face-to-face class that allows students to be satisfied and increases their knowledge, beyond face-to-face class.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.363-373
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• 2021

The present study seeks to investigate the degree of awareness that constitutes the audit gap expectations (AEG) to determine which audit responsibilities can be narrowed or even eliminated. The author had surveyed a sample comprising four groups including auditors, auditees, the financial community, and other interest groups. In this survey, 1400 questionnaires were sent to the respondents, and the total number of responses was 454. The collected data was processed using statistical software SPSS, version 22. The Chi-Square test was used to analyze the effect of professional differences on AEG. The results of this study indicate that AEG cannot be eliminated due to the occupational impact of each survey group (about 46%), but it can be narrowed down to 54%, including a reduction of 11% in the knowledge gap (lack of public knowledge), 13% in the reasonable expectations gap (unqualified audit quality), 30% in the deficient standards gap (limited auditing standards). These results could be attained by improving training, communicating, and adding more responsibilities. This is the first study that provides another method of measuring the contribution of the knowledge gap through professional differences and professional gaps that make up each of the AEG's components.

• The Journal of Industrial Distribution & Business
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• v.13 no.2
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• pp.1-15
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• 2022

Purpose: This study established the state of the utilisation of information and communication technologies (ICTs) in Zimbabwean urban district councils to manage municipal knowledge. The way municipal knowledge and service delivery information are managed influences the usefulness and accessibility of the information to the various stakeholders. The effective management of this information thus determines the quality of decisions made by Zimbabwean urban councils. Research design, data and methodology: The study adopted a single case study design, employing a purely qualitative research approach. The purposive sampling technique was used to select key informants who participated in the study. Collected data were analysed using thematic content analysis. Results: The findings revealed that the Masvingo City Council was not fully utilising ICTs to manage service delivery knowledge. It has been at a minimum level in cases where they have been used. Conclusions: This research contributes to the Zimbabwean local government body of knowledge, providing the evidence needed to form a basis for future research, focusing on knowledge management and information technology utilisation in municipal organisations. The researchers recommended that Masvingo City Council direct more resources towards improving the existing ICT infrastructure and employee training programmes to improve the management of the organisation's knowledge.

• Transactions of Materials Processing
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• v.31 no.4
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• pp.229-239
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• 2022

Convolution Neural Network(CNN) is a class of deep learning algorithms and can be used for image analysis. In particular, it has excellent performance in finding the pattern of images. Therefore, CNN is commonly applied for recognizing, learning and classifying images. In this study, the surface defect classification performance of Al 6061 extruded material using CNN-based algorithms were compared and evaluated. First, the data collection criteria were suggested and a total of 2,024 datasets were prepared. And they were randomly classified into 1,417 learning data and 607 evaluation data. After that, the size and quality of the training data set were improved using data augmentation techniques to increase the performance of deep learning. The CNN-based algorithms used in this study were VGGNet-16, VGGNet-19, ResNet-50 and DenseNet-121. The evaluation of the defect classification performance was made by comparing the accuracy, loss, and learning speed using verification data. The DenseNet-121 algorithm showed better performance than other algorithms with an accuracy of 99.13% and a loss value of 0.037. This was due to the structural characteristics of the DenseNet model, and the information loss was reduced by acquiring information from all previous layers for image identification in this algorithm. Based on the above results, the possibility of machine vision application of CNN-based model for the surface defect classification of Al extruded materials was also discussed.

• Journal of Sport and Applied Science
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• v.6 no.3
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• pp.1-7
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• 2022

Purpose: The purpose of this study is to provide basic data for developing an educational program that can be practically applied in the field of survival swimming education. Research design, data, and methodology: This study reviewed prior literature including governmental reports, journal articles related to survival swimming programs at home and abroad. Based on the basic data collected through literature, domestic and foreign educational institutions and national educational programs were cataloged and analyzed. Results: The study found that among the goals of swimming education, the prevention of water accidents and the cultivation of water safety skills along with improving swimming ability are very important educational goals. Currently, domestic survival swimming education programs are divided into classes and training sessions, so it is necessary to develop an educational program according to each individual's swimming ability and a unified and systematic program through education for each level of survival swimming learners. Conclusions: It is thought that the reinforcement of the leader's capacity for quality improvement will have a positive effect for the development of survival swimming. Further implications were discussed.

• The Journal of Korean Physical Therapy
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• v.33 no.6
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• pp.297-303
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• 2021

Purpose: The mass of facial muscles can be increased through exercise, as is also the case for muscles in the extremities. This systematic review was conducted to investigate the effect of facial exercises on facial muscle strengthening and facial rejuvenation, focusing on recent studies. Methods: A literature search was performed using the PubMed, ScienceDirect, and Web of Science databases. The quality of the trials was evaluated according to the PEDro scale. In total, 11 studies were included in this review: four studies on facial exercise for facial rejuvenation and seven studies on strengthening the muscles of the face. Results: Facial exercises for facial rejuvenation increased the mechanical properties and elasticity of the skin of the face and neck, the thickness and cross-sectional area of the facial muscles, and the fullness of the upper and lower cheeks. Conclusion: A study aimed at strengthening facial muscles showed improvements in labial closure strength and tongue elevation strength. Despite the positive results for facial rejuvenation and muscle strengthening, the level of evidence was low. Therefore, in future research, it will be necessary to investigate the effects of facial exercise in a thoroughly controlled experiment with a sufficient sample size to increase the level of evidence.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.2
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• pp.53-60
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• 2023

Recently, the demand and traffic volume for various multimedia contents are rapidly increasing through real-time streaming platforms. In this paper, we predict real-time streaming traffic to improve the quality of service (QoS). Statistical models have been used to predict network traffic. However, since real-time streaming traffic changes dynamically, we used recurrent neural network-based deep learning models rather than a statistical model. Therefore, after the collection and preprocessing for real-time streaming data, we exploit vanilla RNN, LSTM, GRU, Bi-LSTM, and Bi-GRU models to predict real-time streaming traffic. In evaluation, the training time and accuracy of each model are measured and compared.

• The Journal of Asian Finance, Economics and Business
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• v.10 no.2
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• pp.223-233
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• 2023

Entrepreneurship brings countless values to each individual and practical benefits to society and the economy. Recently, the call for a better understanding of entrepreneurship from corporations and governments is regularly voiced the day, both in the academic literature and in public discussions. This study examines factors influencing the startup decision of young people in Vietnam. Primary data was collected from an online survey and then imported into an Excel file before being analyzed by SPSS 22. The total number of relevant observations for the study is 656, using numerous statistical approaches such as EFA and multiple regression analyses. This study contributes to the existing literature and current practice by suggesting six major determinants of startup intention: self-expectation, personal attitudes, self-competency, perceived feasibility, entrepreneurial orientation, and financial wealth. Among these factors, self-competency and entrepreneurial orientation are statistically significant, indicating that the capability of young people is the most important determinant of their startup intention. Additionally, the results indicate that self-expectation, attitude, perceived feasibility, and finance do not impact students' intention to pursue entrepreneurship. We suggest that by enhancing the training quality of universities, young people will be provided with much essential knowledge and technical skills for running a business.