• Journal of Appropriate Technology
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• v.7 no.1
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• pp.115-124
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• 2021

Due to the successful accomplishments of the first-stage base center project, a road-map for the second-stage, global base center 2030 project has recently been proposed. The vision of the base center is to build a technology centered, cooperation based platform for a sustainable global community. The global base center 2030 project is based on three core strategies as well as three key strategies. The main goal of the core strategy is to establish an interdisciplinary smart platform, as well as a global tech-coordination facility to implement sustainable, inclusive, and innovative science and technology based ODA projects. To achieve such goals, the global center will focus on developing a global living lab, interdisciplinary smart linkage systems, and a global operating platform. The main goals for the key strategies are to solve issues at the base centers while establishing an international relationship through sustainable technology. To achieve such goals, key projects are centered in establishing a ICT package, and a global living lab based on smart interconnected system. With this, a global inter-connected business platform will also be established to support technical and operational issues.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.281-289
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• 2021

The purpose of this study was to investigate the level of knowledge, preventive health behavior of the COVID-19 among nursing students. Data were collected from 190 nursing female students in B city and analyzed by t-test, ANOVA, Pearson correlation coefficient using SPSS/WIN 22.0. The degree of knowledge about COVID-19 in nursing female students was 9.18±1.95. The degree of preventive health behaviors on COVID-19 in nursing female students was 3.62±0.30. There were significant differences in knowledge about COVID-19 with respect to age(F=5.981, p=.001), grade(r=6.376, p<.001), college life satisfaction(F=3.632, p=.007). There were significant differences in preventive health behavior of the COVID-19 with respect to age(F=4.018, p=.008), grade(F=2.719, p=.046), health state(F=3.845, p=.005) college life satisfaction(F=3.875, p=.005), clinical experience satisfaction/expectation(F=4.337, p=.002), necessity COVID 19(t=2.801, p=.006). Through this research can be used as basic data by COVID 19 infection control education of nursing students.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.17-25
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• 2021

The recent surge in consumption of traditional liquor related to health, the results of analyzing the chemical characteristics and antioxidant activity by creating Kwaha-ju and Baekhwha-chun, which use Godubab as a method of treating glutinous and normal grains, are as follows. Kwaha-ju is mainly made of glutinous rice, 5.21~12.52% alcohol content, 1.07~2.47g/L in reducing sugar content, 3.22~3.77% pH, Baikhwha-chun alcohol content was 3~5%, except for some experimental groups, and pH was low. As a result of the spectrum analysis of traditional liquor, 50% of the experimental group in Baikhwa-chun is located in the negative area of PC1 such as overload, and some amino acids such as lactic acid, isoleucine, and choline are the main ingredients of glucose, xylose, and maltose. Therefore, the chemical properties and antioxidant activity of Kwaha-ju and Baikhwa-chun, which show similar composition ratio of traditional liquor materials, and use them as basic data to identify and manufacture traditional liquor fermentation through mutual analysis.

• The Journal of the Korea Contents Association
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• v.21 no.7
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• pp.259-270
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• 2021

Recently, interests in the use of Sharing Bike is increasing in consideration of eco-friendly transportation and safety from viruses. As the technology for collecting and storing data is improved with the development of ICTs, research on mobility using the Sharing Bike Data is also actively progressing. Therefore, this paper analyzes the properties of Sharing Bike Data and cases of researches on it through literature review, and based on the results of the review, data of Eoulling, the Sharing Bike System of Sejong City is analyzed as a way to utilize Sharing Bike Data. Most of the selected literature used structured data, and analyzed it through statistical methods or data mining. Through data analysis, it identified the current status, found out problems of the Sharing Bike System, proposed a solution to solve them, developed plans to activate the use of Sharing Bike. This provides basic data for efficient management and operation plans for Sharing Bike System. Ultimately, it will be possible to explore ways to improve mobility in urban spaces by utilizing Sharing Bike Data.

• Korean Association of Arts Management
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• no.56
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• pp.145-188
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• 2020

This study starts from an experience-oriented perspective that raises the need to examine the individual's cultural consumption experience with qualitative approach. In particular, this study aims to analyze in-depth the journey of the performance experience by connecting with offline-based social relationships as well as online-based informative and communicative behaviors. For this, in-depth interviews were conducted with 15 teams (30 people) by setting up two people as research units, and self-recorded data using the mobile application were collected. Results showed that social media and online communication play an important role before and after the performance in amplifying the performance experience and the consumer's taste developments. This study also found that relational aspects of the performance experience by identifying the significance of the partners and the existence of the cultural taste leader. For each result, there was a difference among audience proficiency: enthusiastic, interested, and indifferent audiences. Based on these results, we suggest that the performance experience should not be limited to the performance itself, but should be understood in a comprehensive manner before and after the performance, and that the consumption of the performance takes place in a social relationship, not in an individual's own experience only.

• Journal of Life Science
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• v.31 no.12
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• pp.1120-1127
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• 2021

Depression has a negative impact on social functioning due to its high prevalence and increased suicide rate, and is a disease with a high economic burden. Depression is related to diverse brain-related phenomena, such as neuroinflammation, synaptic dysfunction, and cognitive deficit. As antidepressant drugs used in clinical trials have shown poor therapeutic effects, antidepressant drugs that show rapid efficacy urgently need to be developed. Although studies on various genes, proteins, and signaling pathways related to depression have been conducted, the pathogenesis of depression has not been clearly elucidated. Sirtuin 1 is a nicotinamide-adenine dinucleotide- (NAD+-) dependent histone deacetylase and is involved in cell differentiation, apoptosis, autophagy, and cancer metabolism. Recent genetic studies found that sirtuin 1 is a potential target gene for depression. In addition, preclinical studies reported that sirtuin 1 signaling affects depression-like behavior. In this review, we attempt to present up-to-date knowledge of depression and sirtuin 1. We describe the various roles of sirtuin 1 in the regulation of glial activation, circadian rhythm, neurogenesis, and cognitive function and the effects of its expression on depression. Further, we discuss the effect of sirtuin 1 on the impairment of neural plasticity, one of the key mechanisms of depression, and the associated mechanisms of sirtuin 1.

• Therapeutic Science for Rehabilitation
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• v.11 no.2
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• pp.25-37
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• 2022

Objective : Through the bibliographic analysis method, the flow of research is grasped from a macroscopic point of view and the connection system of key words is conducted. The purpose of this is to provide basic data for conducting research on aging anxiety and lifestyle. Methods : Among the bibliographic analysis methods, a citation analysis method that identifies the association based on the number of citations and a simultaneous appearance word analysis method that identifies the association based on the number of keywords appeared was used. VOSviewer was used to cluster and chart the analyzed information. Results : The frequency of occurrence of papers by year showed a gradual increase until 2017 and a rapid increase from 2018. In the field of research paper study, research was most actively conducted in the field of psychiatry. In the citation analysis, the United States, Australia, and the United Kingdom showed high correlation with each other, and as a result of conducting simultaneous word analysis on major keywords, words with high association with aging anxiety were found to be depression. Conclusion : This study is meaningful in that it grasped the flow of aging anxiety and lifestyle research from a macroscopic point of view using a bibliographic analysis method. Based on this, it is expected to understand the importance of lifestyle from the preventive point of view of aging and to be used as basic data for intervention and related education.

• Journal of the Korean Chemical Society
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• v.66 no.6
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• pp.451-458
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• 2022

Through the crystal alignment research based on the magnetic properties of LiNi_xMn_yCo_1-(x+y)O₂ such as magnetic susceptibility and related anisotropy, a crystal aligned LiNi_0.6Mn_0.2Co_0.2O₂ electrode is obtained, in which the (00l) plane is frequently oriented perpendicular to the surface of a current collector. The crystal aligned LiNi_0.6Mn_0.2Co_0.2O₂ electrode steadily exhibits low electrode polarization properties during the charge/discharge process in a lithium-ion battery, thus affording an improved capacity compared to a pristine LiNi_0.6Mn_0.2Co_0.2O₂ electrode. The aligned LiNi_0.6Mn_0.2Co_0.2O₂ electrode may have an appropriate structural nature for fast lithium-ion transport due to the oriented (00l) plane, and thus it contributes to enhancing the battery performance. This enhancement is analyzed in terms of various electrochemical theories and experiment results; thus, it is verified to occur because of the considerably fast lithium-ion transport in the aligned LiNi_0.6Mn_0.2Co_0.2O₂ electrode.

• Ecology and Resilient Infrastructure
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• v.9 no.4
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• pp.269-281
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• 2022

The prediction of changes regarding the distribution of vegetation and plant species according to climate changes is important for ecosystem management. In this study, we attempted to develop an assessment method to evaluate the possibility of the potential distribution of warm-temperate woody plant species of East Asia in Korea. To begin with, a list of warm-temperate woody plants distributed in China and Japan, but not in Korea, was prepared, and a database consisting their global distribution and bioclimatic variables was constructed. In addition, the warm-temperate vegetation zone in Korea was delineated using the coldness index and relevant bioclimatic data were collected. After the exclusion of multicollinearity among bioclimatic variables using correlation analysis, mean temperature of the coldest quarter, mean temperature diurnal range, and annual precipitation were selected as the major variables that influence the distribution of warm-temperate plants. A multivariate environment similarity surfaces (MESS) analysis was conducted to calculate the similarity scores between the distribution of these three bioclimatic variables in the global distribution sites of the East Asian warm-temperate woody plants and the Korean warm-temperate vegetation zone. Finally, using stepwise variable-selection regression, the mean temperature of the coldest quarter and annual precipitation were selected as the main bioclimatic variables that affect the MESS similarity index. The mean temperature of the coldest quarter accounted for 88% of the total variance. For a total of 319 East Asian warm-temperate woody plant species, the possibility of their potential distribution in Korea was evaluated by applying the constructed multivariate regression model that calculates the MESS similarity index.

• Therapeutic Science for Rehabilitation
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• v.11 no.4
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• pp.23-39
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• 2022

Objective : To summarize clinical and demographic variables and machine learning uses for predicting functional outcomes of patients with stroke. Methods : We searched PubMed, CINAHL and Web of Science to identify published articles from 2010 to 2021. The search terms were "machine learning OR data mining AND stroke AND function OR prediction OR/AND rehabilitation". Articles exclusively using brain imaging techniques, deep learning method and articles without available full text were excluded in this study. Results : Nine articles were selected for this study. Support vector machines (19.05%) and random forests (19.05%) were two most frequently used machine learning models. Five articles (55.56%) demonstrated that the impact of patient initial and/or discharge assessment scores such as modified ranking scale (mRS) or functional independence measure (FIM) on stroke patients' functional outcomes was higher than their clinical characteristics. Conclusions : This study showed that patient initial and/or discharge assessment scores such as mRS or FIM could influence their functional outcomes more than their clinical characteristics. Evaluating and reviewing initial and or discharge functional outcomes of patients with stroke might be required to develop the optimal therapeutic interventions to enhance functional outcomes of patients with stroke.