• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.45 no.2
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• pp.51-67
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• 2019

As dental implant surgery and bone grafts were widely operated in Korean dentist, many bone substitutes are commercially available, currently. For commercially used in Korea, all bone substitutes are firstly evaluated by the Ministry of Health and Welfare (MOHW) for safety and efficacy of the product. After being priced, classified, and registration by the Health Insurance Review and Assessment Service (HIRA), the post-application management is obligatory for the manufacturer (or representative importer) to receive a certificate of Good Manufacturing Practice by Ministry of Food and Drug Safety. Currently, bone substitutes are broadly classified into C group (bone union and fracture fixation), T group (human tissue), L group (general and dental material) and non-insurance material group in MOHW notification No. 2018-248. Among them, bone substitutes classified as dental materials (L7) are divided as xenograft and alloplastic bone graft. The purpose of this paper is to analyze alloplastic bone substitutes of 37 products in MOHW notification No. 2018-248 and to evaluate the reference level based on the ISI Web of Knowledge, PubMed, EMBASE (1980-2019), Cochrane Database, and Google Scholar using the criteria of registered or trademarked product name.

• Korean Journal of Community Nutrition
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• v.26 no.5
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• pp.382-395
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• 2021

Objectives: This study examined the nutritional status according to frailty status in the elderly at home. Methods: The participants were a total of 76 elderly at home living in Seo-gu, Gwangju, Korea. The nutritional status and frailty status were analyzed using the Nutrition Quotient for Elderly (NQ-E) and the Korean version of the Fatigue, Resistance, Ambulation, Illnesses and Loss of weight Scale (K-FRAIL), respectively. Results: The distribution of frailty status was robust (17.1%), pre-frailty (38.2%) and frailty (44.7%), and its distribution was significantly different in genders, age groups and the number of medications. The mean NQ-E score was 47.0 for total subjects, indicating a low grade. The scores of balance, diversity and dietary behavior factors were within the low grade, while the score of the moderation factor was within the medium-high grade. According to the frailty status, pre-frailty and frailty showed significantly higher scores for sugar-added beverages intake in the moderation constructs than robust. Robust showed significantly higher scores for the exercise hours and perception level for one's health than pre-frailty and frailty. Conclusions: These results suggest that nutrition status is associated with frailty status. Regular nutrition education and visiting nutrition service should be established to improve the balance and diversity of food intake and improve the dietary behavior of the elderly at home.

• Food Science and Industry
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• v.54 no.3
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• pp.124-131
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• 2021

In the 4th industrial revolution, Artificial Intelligence (AI), big data, Internet of Things (IoT) are already around us, making our society hyper-connected and blurring the lines between the digital and biological spheres. We witness drastic changes not only in the food industry, but also in economy, society and our life as a whole. Technologies bring industrial reorganization and greater changes at the system level and the food industry is not exceptional. Human demand for foods continues to grow and the very nature of the food industry remains unchanged, but its production, distribution and marketing face unprecedent innovations. Passing through the global pandemic, the food industry has been evolved into 'contact-free', as the safety become our top priority. Amid the gradual shift to technology-oriented society, the smarter food safety management skills and tools are being adopted in many countries exerting greater efforts to enhance traceability and to upgrade AI-powered safety management system.

• Biomedical Science Letters
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• v.26 no.4
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• pp.288-295
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• 2020

Infection of Helicobacter pylori on gastric mucosa is associated with various gastric diseases. According to the WHO, H. pylori causes gastric cancer and has been classified as a class I carcinogen. Riboflavin is an essential vitamin which presents in a wide variety of foods. Previous studies have shown that riboflavin/UVA was effective against the growth inhibition of Staphylococcus aureus, S. epidermidis and multidrug-resistant Pseudomonas aeruginosa and had the potential for antimicrobial properties. Thus, we hypothesized that riboflavin has a potential role in the growth inhibition of H. pylori. To demonstrate inhibitory concentration of riboflavin against H. pylori, we performed agar and broth dilution methods. As a result, we found that riboflavin inhibited the growth of H. pylori. The MIC was 1 mM in agar and broth dilution test. Furthermore, to explain the inhibitory mechanism, we investigated whether riboflavin has an influence on the replication-associated molecules of the bacteria using RT-PCR to detect mRNA expression level in H. pylori. Riboflavin treatment of H. pylori led to down-regulation of polA and dnaB mRNA expression levels in a dose dependent manner. After then, we also confirmed whether riboflavin has cytotoxicity to human cells. We used AGS, a gastric cancer cell line, and treated with riboflavin did not show statistically significant decrease of cell viability. Thus, these results indicate that riboflavin can suppress the replication machinery of H. pylori. Taken together, these findings demonstrate that riboflavin inhibits growth of H. pylori by inhibiting replication of the bacteria.

• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.85-92
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• 2022

Demand for big data analysis and AI developers is increasing, but there is a lack of an education base to supply them. In this paper, by developing a cloud-based artificial intelligence education platform, the goal was to establish an environment in which practical practical training can be efficiently learned at low cost at educational institutions and IT companies. The development of the education platform was carried out by planning scenarios for each user, architecture design, screen design, implementation of development functions, and hardware construction. This training platform consists of a containerized workload, service management platform, lecture and development platform for instructors and students, and secured cloud stability through real-time alarm system and age test, CI/CD development environment, and reliability through docker image distribution. The development of this education platform is expected to expand opportunities to enter new businesses in the education field and contribute to fostering working-level human resources in the AI and big data fields.

• The Journal of Pediatrics of Korean Medicine
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• v.35 no.2
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• pp.11-20
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• 2021

Objectives The purpose of the study is to evaluate the safety of the Allium Fistulosum extract in children and its effectiveness in height growth. Methods This study is randomized, double-blind, placebo-controlled trial. The participants are children between the 3rd and 25th percentiles in height, and between the ages of 5 and 12 years. They are randomly assigned to treatment group or control group. The treatment group will take 5 g (1 g as Allium Fistulosum extract) for 24 weeks, 1 time a day. The control group will take the 5 g (0 g as Allium Fistulosum extract) of placebo for 24 weeks, 1 time a day. The primary outcome is change in height, and the secondary outcomes are growth rate, height standard deviations, Insulin-like growth factor-1 (IGF-1), Insulin-like growth factor binding protein-3 (IGFBP-3), IGF1-1/IGFBP-3 ratio, growth hormone, bone age, osteocalcin, and Z-score for growth. Results This protocol has been approved by the institutional review board (IRB) of Daejeon Korean Medicine Hospital of Daejeon University (IRB No. DJDSKH-20-BM-15), and registered in the Clinical Research Information Service (CRIS) (Registry No. KCT0005981). Conclusions This study will provide clinical information about the effectiveness and safety of Allium Fistulosum extract in children for their growth.

• Journal of Communication Design
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• v.57
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• pp.256-271
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• 2016

We attempted to implement Human Centered Design(HCD) according to the following three steps : (1) deriving user needs, (2) conducting ideation based the derived user needs, and (3) developing design concepts. The research on users and experts requires substantial time and cost, and there has not been an effective and clear-cut means to validate the research results before developing design concepts. We therefore extended the means of usability test to a context-based character. We applied this test for the development of design for Wearable Cardioverter-Defibrillator(WCD). Would this test be applied to various cases in the fields of medical equipment/apparatus development - which relatively takes a longer time to be developed - it would aid in accumulating and categorizing the reference data for variables incorporated for evaluating such cases. Future studies are needed to complement our findings concerning context-based usability tests.

• Korean Journal of Metals and Materials
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• v.46 no.8
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• pp.477-481
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• 2008

The secondary hardening and fracture behavior in P/M high speed steels bearing V content of 9 to 10 wt% have been investigated in terms of austenitizing temperature and precipitation behavior. Austenitizing was conducted at 1,100 and $1,175^{\circ}C$ of relatively low and high temperatures. Coarse primary carbides retained after austenitization were mainly V-rich MC type. They give a significant influence on hardeness and toughness, as well as wear resistance. Tempering was performed in the range of $500{\sim}600^{\circ}C$. The peak hardness resulting from the precipitation of the fine MC secondary carbides was observed near 520, irrespective of austenitizing temperature. Aging acceleration(or deceleration) did not occur with increasing austenitizing temperature because it mainly influences contents of V and C of matrix through the dissloution of coarse primary MC containing lots of V and C. The precipitation of secondary MC carbides, which also contain V and C, did not change the aging kinetics itself. In the 10V alloy containing much higher C content, the impact toughness was lower than 9V alloy, because of the larger amount of primary carbide and high hardness.

• Human Ecology Research
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• v.59 no.3
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• pp.353-367
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• 2021

The purpose of this study was to examine the mediating effect of middle school students'self-deprecation in the relationship between upward social comparison in social network service (SNS) and depression and the moderated mediating effect of cognitive flexibility. The participants were 288 middle school students, in the first to third grades from four middle schools located in Seoul, Gyeong-gi, and Jeonnam. The date were analyzed with descriptive statistics, Pearson's correlation coefficients and the Process Macro Model 4, 1, and 14. The results of this study are as follows. First, an upward comparison in SNS has a significant positive influence on students'depression, and students' self-deprecation of students mediated the relation between two. Second, the level of control, which is a sub-factor of cognitive flexibility, moderated the mediating effect of self-deprecation. That is, if students are more likely to perceive difficult situations as controllable, upward social comparison in SNS mediated by self-deprecation has smaller effect on depression. Based on these results, we suggest practical interventions to reduce depression among middle school students by decreasing upward social comparison in SNS and self-deprecation. In addition, helping students perceive difficult situations as controllable could be another effective way of reducing depression among those students who have a high level of self-deprecation in upward social comparison in SNS.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.8
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• pp.1005-1012
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• 2021

Recently, the use of various location-based services-based location information systems using maps on the web has been expanding, and there is a need for a monitoring system that can check power demand in real time as an alternative to energy saving. In this study, we developed a deep learning real-time virtual power demand prediction web system using open source-based mapping service to analyze and predict the characteristics of power demand data using deep learning. In particular, the proposed system uses the LSTM(Long Short-Term Memory) deep learning model to enable power demand and predictive analysis locally, and provides visualization of analyzed information. Future proposed systems will not only be utilized to identify and analyze the supply and demand and forecast status of energy by region, but also apply to other industrial energies.