• Journal of Korean Academy of Fundamentals of Nursing
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• v.17 no.3
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• pp.334-342
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• 2010

Purpose: The purpose of this study was to examine the effects of Tai Chi exercise on flexibility, balance, walking ability, muscle strength, bone mineral density, and fracture risk in institutionalized elders. Method: A quasi-experimental pretest-posttest design with a nonequivalent comparison group was utilized, and 53 older adults living in one institution were recruited and assigned to one of two groups, experimental group (18) or comparison (20). Both groups completed posttest measures at 6 months. There was a 31% rate of dropouts. Tai Chi exercise was provided twice a week for 24 weeks. Outcome measurements were conducted by a physiotherapist at a university hospital health promotion center who did not know the group assignment. Results: At 6 months, the experimental group had significantly greater grip strength(t=2.12, p=.04), back muscle strength (t=2.42, p=.02), balance (t=5.31, p<001), and flexibility (t=3.57, p<.001). They also showed significantly greater bone mineral density of lumbar spine and femur, and reduced fracture risk. Conclusion: Tai Chi exercise was safely and effectively used with institutionalized elders for 6 months and significantly improved physical fitness, bone mineral density along with a reduction in fracture risk. Whether Tai Chi exercise would lead to prevention of fall episodes and fall related fractures in this population will require further study.

• Journal of the Korean Society of Fashion and Beauty
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• v.2 no.3 s.3
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• pp.27-35
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• 2004

This research studies the job satisfaction and turnover intention of the staffs of beauty parlors located in the City of Busan. The subjects were 300 beauty parlor staffs. They were surveyed for one month from October 1, 2003, to October 31, 2003. Regarding the question of the work satisfaction at the beauty parlor, the degrees of satisfaction were $3.83{\pm}0.70$ in the field of 'I am proud of myself working in a beauty parlor,' $3.78{\pm}0.62$ in the field of 'I feel rewarded after performing an operation on a customer,' $3.73{\pm}0.61$ in the field of 'I have a friendly relationship with the customers'. As to a survey on the job satisfaction and their intention of turnover, 22.7% of the respondents answered that they had the experience to move to another beauty parlors more than five times. This indicates that the matter of turnover is quite serious. When they were asked what is most important in choosing their workplace, 50.7% said 'kind teaching of senior staffs', followed by 'payment' which was chosen by 34.3%. As to the disadvantage of the work in beauty parlors. compared to other occupations, 77.3% of the respondents picked up 'few holidays and long working hours' and 11% 'low social position.' From the results, it can be seen that it is important for the beauty industry to make better working conditions and improve benefits in order to reduce the turnover rate and dropouts.

• Clinical and Experimental Pediatrics
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• v.64 no.7
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• pp.313-321
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• 2021

Here we describe the neurodevelopmental outcomes of very low birth weight (VLBW) infants (birth weight ≤1,500 g) at 3 years of age in the Neonatal Research Network of Japan (NRNJ) database in the past decade and review the methodological issues identified in follow-up studies. The follow-up protocol for children at 3 years of chronological age in the NRNJ consists of physical and comprehensive neurodevelopmental assessments in each participating center. Neurodevelopmental impairment (NDI)-moderate to severe neurological disability-is defined as cerebral palsy (CP) with a Gross Motor Function Classification System score ≥2, visual impairment such as uni- or bilateral blindness, hearing impairment requiring hearing amplification, or cognitive impairment with a developmental quotient (DQ) of Kyoto Scale of Psychological Development score <70 or judgment as delayed by pediatricians. We used death or NDI as an unfavorable outcome in all study subjects and NDI in survivors using number of assessed infants as the denominator. Follow-up data were collected from 49% of survivors in the database. Infants with follow-up data had lower birth weights and were of younger gestational age than those without follow-up data. Mortality rates of 40,728 VLBW infants born between 2003 and 2012 were 8.2% before discharge and 0.7% after discharge. The impairment rates in the assessed infants were 7.1% for CP, 1.8% for blindness, 0.9% for hearing impairment, 15.9% for a DQ <70, and 19.1% for NDI. The mortality or NDI rate in all study subjects, including infants without follow-up data, was 17.4%, while that in the subjects with outcome data was 32.5%. The NRNJ follow-up study results suggested that children born with a VLBW remained at high risk of NDI in early childhood. It is important to establish a network follow-up protocol and complete assessments with fewer dropouts to enable clarification of the outcomes of registered infants.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.266-274
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• 2021

Purpose: The purpose of this study is to develop a concrete public sign block for floors that can provide pedestrian safety and various information. Method: In order to achieve these research objectives, step-by-step block manufacturing techniques applied in relation to the development of public sign blocks were proposed, and the field applicability of the developed concrete public sign blocks was evaluated. Result: The concrete public sign block for floors developed in this study is expected to be capable of expressing public signs of various shapes and to reduce manufacturing cost. As a result of the usability evaluation for two years, no problems such as cracks, edge dropouts, discoloration, and abrasion were found, so it is judged that sufficient durability was secured. Conclusion: Based on these research results, it is expected that the concrete public sign block will be used as an alternative to secure the weaknesses such as stickers, stone and brass plates that have been used in the existing public sign for floors. It is expected that it can be applied in various fields.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.1-15
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• 2019

One of the biggest difficulties in the vocational training field is the dropout problem. A large number of students drop out during the training process, which hampers the waste of the state budget and the improvement of the youth employment rate. Previous studies have mainly analyzed the cause of dropouts. The purpose of this study is to propose a machine learning based model that predicts dropout in advance by using various information of learners. In particular, this study aimed to improve the accuracy of the prediction model by taking into consideration not only structured data but also unstructured data. Analysis of unstructured data was performed using Word2vec and Convolutional Neural Network(CNN), which are the most popular text analysis technologies. We could find that application of the proposed model to the actual data of a domestic vocational training institute improved the prediction accuracy by up to 20%. In addition, the support vector machine-based prediction model using both structured and unstructured data showed high prediction accuracy of the latter half of 90%.

• Journal of Ocean Engineering and Technology
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• v.33 no.5
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• pp.427-434
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• 2019

Artificial intelligence (AI)-aided research currently enjoys active use in a wide array of fields thanks to the rapid development of computing capability and the use of Big Data. Until now, forecasting methods were primarily based on physics models and statistical studies. Today, AI is utilized in disaster prevention forecasts by studying the relationships between physical factors and their characteristics. Current studies also involve combining AI and physics models to supplement the strengths and weaknesses of each aspect. However, prior to these studies, an optimization algorithm for the AI model should be developed and its applicability should be studied. This study aimed to improve the forecast performance by constructing a model for neural network optimization. An artificial neural network (ANN) followed the ever-changing path of a typhoon to produce similar typhoon predictions, while the optimization achieved by the neural network algorithm was examined by evaluating the activation function, hidden layer composition, and dropouts. A learning and test dataset was constructed from the available digital data of one typhoon that affected Korea throughout the record period (1951-2018). As a result of neural network optimization, assessments showed a higher degree of forecast accuracy.

• Nutrition Research and Practice
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• v.13 no.5
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• pp.384-392
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• 2019

BACKGROUND/OBJECTIVES: Enteral nutrition formulas with immune-enhancing nutrients, such as n-3 fatty acids, may manage patients' nutritional status and pathophysiological processes. The aim of our study was to investigate natural killer (NK) cell activity alterations and related cytokine changes resulting from feeding with soybean oil-containing enteral nutrition formula (control group) and plant-derived n-3 fatty acid-enriched enteral nutrition formula. SUBJECTS/METHODS: Subjects participated for 14 consecutive days and consumed enteral formula containing canola and flaxseed oil (n3EN, test group) in nonsurgical patients hospitalized for rehabilitation. Blood samples were collected on the first day and 14 days after the consumption of each formula daily, and anthropometric parameters were collected. Hematology and biochemical values were analyzed, and NK cell activities and serum cytokine concentration were measured. A total of sixty subjects were included in the analysis, excluding dropouts. RESULTS: No significant differences were found in biochemical parameters. The n3EN group's NK cell activities at effector:tumor cell ratios of 10:1, 5:1, 2.5:1 and 0.625:1 were significantly higher than those of the control group after two weeks (P < 0.05). However, there were no statistically significant differences in serum cytokine interleukin (IL)-12, $interferon-{\gamma}$, $IL-1{\beta}$, IL-6 and tumor necrosis $factor-{\alpha}$ values between the two groups. CONCLUSIONS: In conclusion, this study elucidates the beneficial effects of plant-derived n-3 fatty acid supplementation in enteral formula on NK cell activity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1676-1681
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• 2020

Collecting and managing information on all-round activities of students not only helps to improve school life adjustment and satisfaction, but also serves as the basis for preventive student support for academic warnings or dropouts. Therefore, in guiding students, it is necessary to integrate various information of students and provide them to the instructor quickly and accurately. In this study, in the special environment of an organization in which student information is scattered in several systems, a system model is proposed that not only integrates and provides student information to instructors quickly, but also saves cost and effort. And we tested the effectiveness of the proposed system model by developing a simple web page. As a result, it was confirmed that the proposed model provided information necessary for student guidance in an integrated, multifaceted, and instantaneous manner, and that user satisfaction was improved through an improved UI.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1608-1614
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• 2022

As competition between universities intensifies due to the recent decrease in the number of students, it is recognized as an essential task of universities to predict students who are underperforming at an early stage and to make various efforts to prevent dropouts. For this, a high-performance model that accurately predicts student performance is essential. This paper proposes a method to improve prediction performance by removing or amplifying abnormal data in a classification prediction model for identifying underperforming students. Existing anomaly data processing methods have mainly focused on deleting or ignoring data, but this paper presents a criterion to distinguish noise from change indicators, and contributes to improving the performance of predictive models by deleting or amplifying data. In an experiment using open learning performance data for verification of the proposed method, we found a number of cases in which the proposed method can improve classification performance compared to the existing method.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.355-363
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• 2021

This study examined the mediating effects of life satisfaction on the relationship between parent attachment, peer attachment, and depression among Korean out-of-school youths. The study participants of 145 out-of-school youths derived from 5th Panel Survey of School Dropouts. To analyze the collected data, descriptive statistics, Pearson's correlation, and path analysis conducted by using SPSS 26.0 and AMOS 26.0. Parent attachment directly related to life satisfaction. Peer attachment directly related to life satisfaction and to depression. Life satisfaction had a significant negative relationship to depression. Parent attachment (𝛽=-.23, p=.006, 95% CI: -0.33~-0.12) and peer attachment (𝛽=-.18, p=.002, 95% CI: -0.31~-0.08) had indirect effects on depression through mediating life satisfaction. Results of this study indicate that we will discuss implications for possible policies and programs to help out-of-school youth successfully integrate a satisfying life and safely improve depression.