• Oral Biology Research
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• v.42 no.4
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• pp.208-215
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• 2018

The purpose of this study was to identify the risk of dysphagia among patients that visited prosthodontics department, and evaluate the difference in risks arising from oral conditions and disease in order to preliminarily intervene the various influencing factors of dysphagia. A questionnaire was given to patients that were aged 65 years or older who visited the prosthodontics department between September to December 2017. The data was collected and analyzed using the t-test, $x^2-test$ and logistic regression analysis. The mean age of the patients was 75 years. Out of 300 patients, 206 patients (68.7%) had a risk of dysphagia. There were statistically significant differences between the -non-risk and risk groups, which included the number of natural teeth, total number of teeth including prosthesis, denture use, denture discomfort, number of tooth brushing, oral dryness, digestive system diseases, and musculoskeletal diseases. Among these, oral dryness was a risk factor while the total number of teeth, including natural teeth and prostheses, served as a protective factor. More than half of the elderly patients were at risk of dysphagia. Oral dryness is influenced by many factors and it should continuously be managed. Patients should fully recover their masticatory function by preserving the remaining teeth and compensating for the missing teeth. A dental practitioner should be fully aware of the risk of dysphagia in elderly patients and be able to intervene and offer proper patient health care in advance through treatment guidelines and education.

• Design & Manufacturing
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• v.14 no.4
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• pp.17-24
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• 2020

Products for heating indoors in low temperature and dry winter are largely divided into products using fossil fuels and products using electricity. The fossil fuels can warm the entire space by convection, but there is a high risk of fire and the frequent ventilation due to the increase in carbon monoxide and carbon dioxide. Heaters using electricity are mainly used because they are convenient to use and are cheap. However, these products can not efficiently warm the air because they use radiation energy. In other words, only the front part exposed to the heater is warm, and the rear part has no heating effect at all. Also, because it emits a large amount of light, fatigue of the eyes is very high. Another problem is that when using electric heaters, the room tends to be dry by high heat. Indoor humidity maintenance is a very important factor in the prevention and treatment of respiratory diseases. Especially, it is essential for health care for infants, bronchial organs and people with weak respiratory because humidity is low in winter. In this study, we conducted a study to develop a product that can improve heating efficiency while maintaining proper indoor humidity by combining heat energy and moisture particles. The concept of humidification and heating at the same time, moisture particles generated in the humidifier pass through the heater, include thermal energy, and the moisture particles with thermal energy are diffused into the space by forced convection, thereby warming the entire space. In addition, the heating time is shortened as the feeling temperature is increased with the high relative humidity, and this has the effect that the heating cost in winter is reduced.

• 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.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1075-1080
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• 2020

The development of computing technology and networking is developing as the fundamental technology of the 4th industrial revolution. AR and VR technologies, which are dual realistic media fields, are developing into many application areas, especially! The potential for development in the medical field is very high. As for the development potential of the health care field, the 4th industrial revolution such as AR/VR to solve problems, such as the increase of various chronic diseases due to the aging of the population, the limitation of infrastructure that can deal with them, and the lack of specialized personnel. It is adopting services in the healthcare field using representative technologies. Accordingly, AR/VR in the healthcare field occupies about 17% of the total industrial market. Therefore, in this study, cognitive judgment technology using AR applies cognitive evaluation through a computing system to the mild cognitive impairment, and based on the results, researches to utilize cognitive rehabilitation contents using augmented reality, and hardware necessary for cognitive judgment technology. Also, software design to help in the field of cognitive judgment technology and healthcare using AR.

• Journal of Biomedical Engineering Research
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• v.42 no.4
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• pp.175-185
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• 2021

Purpose: Vital sign are used to help assess the general physical health of a person, give clues to possible diseases, and show progress toward recovery. Researchers are using vital sign data and AI(artificial intelligence) to manage a variety of diseases and predict mortality. In order to analyze vital sign data using AI, it is important to select and extract vital sign data suitable for research purposes. Methods: We developed a method to visualize vital sign and early warning scores by processing retrospective vital sign data collected from EMR(electronic medical records) and patient monitoring devices. The vital sign data used for development were obtained using the open EMR big data MIMIC-III and the wearable patient monitoring device(CareTaker). Data processing and visualization were developed using Python. We used the development results with machine learning to process the prediction of mortality in ICU patients. Results: We calculated NEWS(National Early Warning Score) to understand the patient's condition. Vital sign data with different measurement times and frequencies were sampled at equal time intervals, and missing data were interpolated to reconstruct data. The normal and abnormal states of vital sign were visualized as color-coded graphs. Mortality prediction result with processed data and machine learning was AUC of 0.892. Conclusion: This visualization method will help researchers to easily understand a patient's vital sign status over time and extract the necessary data.

• Korean Journal of Clinical Pharmacy
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• v.31 no.4
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• pp.311-323
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• 2021

Objective: The disabled are in a blind spot for obtaining information on drugs, and the pharmacies' counseling on drug use is centered on non-disabled people. Few studies have investigated the current statuses of drug use by type of disability. The purpose of this study is to understand the drug use by type of disability and by life cycle of visually impaired and hearing impaired in Korea. Methods: The study participants consisted of 16 people with visually impairments, 12 people with hearing impairments. One in-depth interview was conducted per participant, and each interview was recorded and documented. Results: Common barriers against safe medication and medical service uses across disability types are 'lack of consideration and service for the disabled, limited access to medical facilities due to disability, limited access to information regarding medication use, psychological anxiety about drug use and side effects, and inconvenience regarding COVID-19 epidemic. The specific factors were 'difficulties in identifying proper medicines and following prescribed dosages' in the case of visually impaired, and 'problems with sign language interpretation system' for the hearing impaired. Conclusion: Disabled people are hindered from using medicines properly due to various factors. Based on the content derived from this study, it is necessary to eliminate the inhibition factors and devise specific measures for the safety of each type of disorder such as developing a method for medication counseling considering disabilities and establishing communication support systems.

• Korea Journal of Hospital Management
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• v.27 no.2
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• pp.34-43
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• 2022

Objective: Telemedicine service is gaining importance in remote military areas. This study aimed to explore the mediating effect of user satisfaction on the association between military telemedicine service's quality and customer loyalty. Methods: The research data comprised the results of a satisfaction survey on 1,116 military telemedicine satisfaction surveys conducted from November 1 to November 31, 2021. T-tests and ANOVA were analyzed to confirm the difference in satisfaction and loyalty according to the general characteristics of the study subjects. User satisfaction, customer loyalty, and mediating effects were analyzed using multiple linear regression analysis. Results: Among the study subjects, 458 were affiliated with the Army, 68 with the Navy, and 36 with the Air Force. Among the quality of telemedicine service, tangibility, reliability, and empathy affected user satisfaction while reliability and empathy affected customer loyalty. Since the standardized coefficient beta of empathy was 0.150 (P=0.018), it was confirmed that it significantly affected customer loyalty by mediating user satisfaction. Conclusion: The telemedicine service's quality affects users' satisfaction and customer loyalty. Moreover, there was the mediating effect of user satisfaction on the association between telemedicine service and customer loyalty. Therefore, the reliability and reliability of the current telemedicine service can be improved through the replacement of outdated equipment and performance improvement, expansion of medicines in telemedicine units, and improvement of medical services through periodic CS education to increase the customers' satisfaction and loyalty.

• 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 Society of Preventive Korean Medicine
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• v.26 no.2
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• pp.1-9
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• 2022

Objectives : The purpose of this study is to identify priorities for the 4th Comprehensive Plan for Korean Medicine Development using Delphi and AHP techniques. Methods : This study uses Delphi-AHP method to first, select the target priority policy based on the policy content of the 4th Comprehensive Plan. In addition, two surveys on the priorities were conducted to reach consensus between experts. The main results of the first survey were also provided to experts participating in the second survey to help form expert consensus. Finally, the final policy priority was chosen based on the second survey result. Results : Survey results showed that of the 39 policies in the 4th Comprehensive Plan, "improve the accessibility of Korean medicines," was the most important goal. This was followed by "support for Korean medicine R&D from clinical research to industrialization," "provide foundation for a pilot project that provides customized medical services" and "strengthen the public medicine function of Korean medicine by expanding the its infrastructure in national and public hospitals." Conclusion : The results showed that capacity building of Korean medicine in primary care, improvement of the health insurance system, and research centered on industrialization are relatively more important goals, while the need to enhance global competitiveness was much less important. These key points can serve as a reference when formulating the 5th Comprehensive Plan for Korean Medicine Development in the future.

• Advances in environmental research
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• v.11 no.1
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• pp.31-38
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• 2022

The current observational epidemiological study analyzed blood lead levels (BLLs) in occupationally exposed workers from Riyadh region, Saudi Arabia and correlated them with the alterations in the differential cell populations of the WBC panel (lymphocytes [Lym %], mixed [Mid %] cells, and neutrophils [Neu %]). In addition, we examined the effect of confounding factors and their relation to BLLs. BLLs were estimated using the LeadCare II analyzer and hematological parameters using the ADVIA 120 analyser. An inferential analysis was conducted to detect association between the observations and the subjects' clinical characateristics. A total of 132 male subjects were included in the final analyses. Based on CDC guidelines, the subjects were categorized as Group I (BLL <10 ㎍/dL; n=118) or Group II (BLL >10 ㎍/dL; n=14) with average BLLs of 4.4 ㎍/dL and 18.1 ㎍/dL, respectively (p <0.0001). The percentages of Mid cells (p <0.0001) and neutrophils (p=0.048), were significantly altered in subjects with High BLL. A regression analysis indicated that subjects > 50 years of age had significantly higher BLLs (53.2 ㎍/dL) than younger age sub-groups (p <0.0001). Age, education, and profession were significant predictors for lead toxicity. Pb exposure is a major public health issue in Saudi Arabia and calls for further investigations on the cellular and molecular effects on hematological system.