• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.141-151
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• 2019

Purpose: This study aimed to identify the type of Sanhujori subjectivity experienced by husbands of pregnant women, and analyzed the characteristics of each type. Method: Q-methodology was used and 207 statements were extracted. Finally, 37 Q-samples were derived and 40 P-samples used the 9-point scale to distribute statements. Data were collected from March-May 2018 and analyzed using PC-QUANL program. Results: The analysis of factor weights and variables showed that 48.0% of the total variance was explained by three types of subjectivity, namely, 'couple-centered pursuit of women's health', 'expecting emotional recovery and requiring social support', and 'each family makes their own family system' for which the explanatory powers were 38.1%, 5.8%, and 4.1%, respectively. Conclusion: This study is meaningful as it explores Sanhujori from the viewpoint of husbands; its findings can be used to both evaluate Sanhujori service in Korea and provide basic data to develop convergent services for Sanhujori.

• Stress
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• v.25 no.2
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• pp.105-119
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• 2017

Backgound: The first step in disaster response is preparation, and education and training of workforce are considered as important elements of preparedness. The purpose of this study was to identify the needs of volunteers by exploring service experiences after a disaster to develop volunteer education programs. Methods: Participants were 11 volunteers who had supported the victims' families during about 1 year after the Sewol ferry disaster. Focus group interviews were conducted to investigate the experience of volunteer at the levels of individual, within-team and between-teams, and to discover the need of further training. Results: The results showed that the needs for self- and team-care and advanced education were reported. Conclusions: These results were discussed in terms of development of competence and mental health needs disaster volunteers. Limitations of this study and directions of future research were suggested.

• Journal of Convergence for Information Technology
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• v.11 no.2
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• pp.16-24
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• 2021

This paper introduces a smart aging service that helps the elderly lead a happy old age by actively utilizing IoT and AI technologies for the elderly who are increasing rapidly as they enter the aging society. In particular, we propose a future-oriented, age-friendly well-being support system that breaks away from the existing welfare concept to solve the aging problem but leads to a paradigm shift toward building a vibrant aging society by protecting from emergency and satisfying emotions. By introducing IoT and AI, it judges the life situation and emotional state from the living information of the elderly can respond to emergencies and suggest meetings as a change of mood and give an emotional comfort. Since the proposed system uses artificial intelligence techniques to determine the degree of depression when inputting information such as pulse-rate, dangerous word usage, and external communication, I think it showed the feasibility of the new concept of wellbeing support system that is totally different from conventional wellbeing concept of health-care.

• Journal of International Academy of Physical Therapy Research
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• v.12 no.1
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• pp.2261-2266
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• 2021

Background: Deep learning related research works on website medical images have been actively conducted in the field of health care, however, articles related to the musculoskeletal system have been introduced insufficiently, deep learning-based studies on classifying orthopedic manual therapy images would also just be entered. Objectives: To create a deep learning model that categorizes cervical mobilization images and establish a web application to find out its clinical utility. Design: Research and development. Methods: Three types of cervical mobilization images (central posteroanterior (CPA) mobilization, unilateral posteroanterior (UPA) mobilization, and anteroposterior (AP) mobilization) were obtained using functions of 'Download All Images' and a web crawler. Unnecessary images were filtered from 'Auslogics Duplicate File Finder' to obtain the final 144 data (CPA=62, UPA=46, AP=36). Training classified into 3 classes was conducted in Teachable Machine. The next procedures, the trained model source was uploaded to the web application cloud integrated development environment (https://ide.goorm.io/) and the frame was built. The trained model was tested in three environments: Teachable Machine File Upload (TMFU), Teachable Machine Webcam (TMW), and Web Service webcam (WSW). Results: In three environments (TMFU, TMW, WSW), the accuracy of CPA mobilization images was 81-96%. The accuracy of the UPA mobilization image was 43~94%, and the accuracy deviation was greater than that of CPA. The accuracy of the AP mobilization image was 65-75%, and the deviation was not large compared to the other groups. In the three environments, the average accuracy of CPA was 92%, and the accuracy of UPA and AP was similar up to 70%. Conclusion: This study suggests that training of images of orthopedic manual therapy using machine learning open software is possible, and that web applications made using this training model can be used clinically.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.9
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• pp.1209-1214
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• 2020

With the recent aging age, people's interest in healthy life is increasing. People are causing adult diseases or an increasing number of obese populations due to poor lifestyles, eating habits, and poor physical activity. Accordingly, skin beauty research is being conducted using medical information in the information and communication field. Existing systems have not been able to provide smooth information because they are not expressed in combination with various related measurement items. The system proposed in this paper scans the user's body shape using a 3D scanner and a skin care device, calculates the BMI (Body Mass Index) index using 3D image data, and allows you to view the collected data at a glance. Provide a service system. This will provide the user with the content managed by comparing and providing the continuous body change data. It is expected to be widely used in various U-health and beauty fields.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.571-576
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• 2021

This study was carried out to overcome the problems of the existing fitness business and to build a fitness system that can meet the increased demand in the Corona situation. As a platform technology for non-face-to-face fitness edutainment service, it is a next-generation fitness exercise device that can use various body parts and synchronize network-type information. By synchronizing the exercise information of the fitness equipment, it was composed of learning contents through MR-based avatars. A quantified result was derived from examining the applicability of the customized evaluation system through momentum analysis with A.I analysis applying the LSTM-based algorithm according to the cumulative exercise effect of the user. It is a motion capture and 3D visualization fitness program for the application of systematic exercise techniques through academic experts, and it is judged that it will contribute to the improvement of the user's fitness knowledge and exercise ability.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.31 no.4
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• pp.531-539
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• 2021

Objectives: The purpose of this study is to understand the effect of infection anxiety about COVID-19 perceived by home appliance installers and repair technicians on work stress. Methods: To collect data, the purpose of the study was explained through the labor union of domestic home appliance service companies, and a survey was conducted through mobile to 286 home appliance installers and repair technicians who agreed to the survey. Results: As a result of the analysis, it was found that age, fatigue, work satisfaction, visit time, and Corona 19 infection anxiety had a significant effect on work stress. In other words, the higher the age, the higher the fatigue, the lower the job satisfaction, the higher the work stress was when the visit time was more than 30 minutes, and the higher the Corona 19 infection anxiety, the higher the work stress. Conclusions: Based on the results of this study, the following suggestions are made. First, in order to prevent work stress, we propose the development of a workplace health care program that can solve fatigue. Second, it is necessary to prepare a working environment and provide institutional support to reduce work stress by increasing Job satisfaction. Third, a workplace quarantine measures is needed to prevent infection for essential-workers who do face-to-face work in preparation for possible infectious diseases in the future.

• BMB Reports
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• v.55 no.11
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• pp.547-552
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• 2022

Sorafenib, originally identified as an inhibitor of multiple oncogenic kinases, induces ferroptosis in hepatocellular carcinoma (HCC) cells. Several pathways that mitigate sorafenib-induced ferroptosis confer drug resistance; thus strategies that enhance ferroptosis increase sorafenib efficacy. Orphan nuclear receptor estrogen-related receptor γ (ERRγ) is upregulated in human HCC tissues and plays a role in cancer cell proliferation. The aim of this study was to determine whether inhibition of ERRγ with DN200434, an orally available inverse agonist, can overcome resistance to sorafenib through induction of ferroptosis. Sorafenib-resistant HCC cells were less sensitive to sorafenibinduced ferroptosis and showed significantly higher ERRγ levels than sorafenib-sensitive HCC cells. DN200434 induced lipid peroxidation and ferroptosis in sorafenib-resistant HCC cells. Mechanistically, DN200434 increased mitochondrial ROS generation by reducing glutathione/glutathione disulfide levels, which subsequently reduced mTOR activity and GPX4 levels. DN200434 induced amplification of the antitumor effects of sorafenib was confirmed in a tumor xenograft model. The present results indicate that DN200434 may be a novel therapeutic strategy to re-sensitize HCC cells to sorafenib.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.195-202
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• 2022

This study explored the effects of Tai Chi on cardiovascular disease(CVD) risk factors among the Korean elderly. 68 elderly were selected and divided into two groups: an experiment group(34 patients) and a control group(34 patients). The experimental group practiced Tai Chi for 60 minutes a day, five times per week for 6 weeks total. The control group continued their routine levels of activity. CVD risk factors evaluated in both groups including body mass index, fasting blood sugar, triglyceride, high density lipoprotein cholesterol(HDL-C), and low density lipoprotein cholesterol(LDL-C). Each factor was measured before and after the 6-week intervention. Results showed that the experimental group had a significant decrease in measurements of body mass index, fasting blood sugar, triglyceride, and LDL-C levels. The experimental group also had an increase HDL-C level. Based on such findings, we believe that Tai Chi exercise program would function as an effective intervention strategy for preventing CVD in the elderly. Therefore, it is recommended that health and medical service personnel should seek to apply Tai Chi intervention as a daily component of elderly care.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.15-23
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• 2022

There is little research about medical treatment after prison. The purpose of this study is to examine factors influencing mentally-ill prisoner's decision making for medical treatment on release from prison. With the data collected from prisoners in 2019, binary logistic regression was used to analyze the effect of variables on the mentally-ill prisoner's decision making. In result, bipolar disorder, depression, anxiety disorder, and panic disorder decreased the likelihood of answering that I will have no medical treatment plan after prison, whereas lack of experience in receiving medical care increased the likelihood of answering as such. Bipolar disorder, anxiety disorder, counseling, medical treatment, and education had a positive effect on selecting mental hospital in the answer. Depression enhanced the likelihood of choosing mental health center for treatment. Policy implications and directions for future research are discussed.