• The Korean Journal of Physiology and Pharmacology
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• v.25 no.5
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• pp.395-401
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• 2021

Extended inflammation and cytokine production pathogenically contribute to a number of inflammatory disorders. Formosanin C (FC) is the major diosgenin saponin found in herb Paris formosana Hayata (Liliaceae), which has been shown to exert anti-cancer and immunomodulatory functions. In this study, we aimed to investigate anti-inflammatory activity of FC and the underlying molecular mechanism. RAW264.7 macrophages were stimulated with lipopolysaccharide (LPS) or pretreated with FC prior to being stimulated with LPS. Thereafter, the macrophages were subjected to analysis of the expression levels of pro-inflammatory mediators, including nitric oxide (NO), prostaglandin E₂ (PGE), tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and IL-6, as well as two relevant enzymes, inducible nitric oxide synthase (iNOS), and cyclooxygenase-2 (COX-2). The analysis revealed that FC administration blunted LPS-induced production of NO and PGE in a dose-dependent manner, while the expression of iNOS and COX-2 at both mRNA and protein levels was inhibited in LPS-stimulated macrophages pre-treated with FC. Moreover, LPS stimulation upregulated mRNA expression and medium release of TNF-α, IL-1β, and IL-6, whereas this effect was blocked upon FC pre-administration. Mechanistic studies showed that inhibitory effects of FC on LPS-induced inflammation were associated with a downregulation of IκB kinase, IκB, and p65/NF-κB pathway. Taken together, these data suggest that FC possesses an inflammation-suppressing activity, thus being a potential agent for the treatment of inflammation-associated disorders.

• Journal of Integrative Natural Science
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• v.13 no.4
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• pp.132-140
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• 2020

With the recent introduction of artificial intelligence (AI) technology, the use of data is rapidly increasing, and newly generated data is also rapidly increasing. In order to obtain the results to be analyzed based on these data, the first thing to do is to classify the data well. However, when classifying data, if only one classification technique belonging to the machine learning technique is applied to classify and analyze it, an error of overfitting can be accompanied. In order to reduce or minimize the problems caused by misclassification of the classification system such as overfitting, it is necessary to derive an optimal classification by comparing the results of each classification by applying several classification techniques. If you try to interpret the data with only one classification technique, you will have poor reasoning and poor predictions of results. This study seeks to find a method for optimally classifying data by looking at data from various perspectives and applying various classification techniques such as LDA and QDA, such as linear or nonlinear classification, as a process before data analysis in data analysis. In order to obtain the reliability and sophistication of statistics as a result of big data analysis, it is necessary to analyze the meaning of each variable and the correlation between the variables. If the data is classified differently from the hypothesis test from the beginning, even if the analysis is performed well, unreliable results will be obtained. In other words, prior to big data analysis, it is necessary to ensure that data is well classified to suit the purpose of analysis. This is a process that must be performed before reaching the result by analyzing the data, and it may be a method of optimal data classification.

• Korean Journal of Metals and Materials
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• v.46 no.11
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• pp.747-754
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• 2008

Recently, the requirement for the ultra thin copper foil increases with smaller and miniaturized electronic components. Therefore, it is important to examine the surface state of substrate depending on the processing parameter during the anodic oxidation. This study investigated the effect of the various electrolyte concentrations on anodizing of titanium anode prior to copper electrodeposition. Different surface morphology of anodized titanium was obtained at different electrolytic concentration 0.5 M to 3.0 M. In addition, the effect that the surfaces and the electrical characteristics on the electrodeposited copper layer was observed. In this study, surface anodized in the group containing 0.5M $H_2SO_4$ shows more uniform copper crystals with low surface roughness. the surface roughness and sheet resistance for 0.5M $H_2SO_4$ group were $1.353{\mu}m$ and $0.104m{\Omega}/sq$, respectively.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.73-83
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• 2021

This study identified the factors that influence the problem solving intention of students who completed the action learning-based creativity programs based on the theory of reasoned action, and examined the influence relationship between these factors. As a result of the study, first, subjective norms of problem solving had a positive effect on problem solving intention, and second, attitude toward problem solving had a significant effect on problem solving intention. Third, it was found that students who had experience of participating in a patent education program applying the action learning methodology had a positive effect on the relationship between their attitude toward problem solving and their intention to solve the problem. These findings confirmed that in order to enhance the problem-solving intention, which is the basis for creativity of university students, it is important to spread the positive value of problem-solving within the university and to give students a positive attitude toward problem solving.

• Journal of Sport and Applied Science
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• v.5 no.2
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• pp.23-29
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• 2021

Purpose: The purpose of the study is to review the current states of new sports imported from foreign countries and to discuss strategic insights for promoting new sports which has been invented in Korea. Research design, data, and methodology: This study employed the qualitative approach, in which reviewed a related literature. First, the study selected flying disc, sports stacking, and T-ball as sample cases. This is because these new sports were recognized the prominent sports frequently played in physical education classes in Korea. Second, the study reviewed prior studies in the field of distribution and marketing in order to determine the criteria of analysis and variables that frequently examined in distribution and marketing studies. Finally, the study confirmed such terminologies as research variables including new sport name, organization name, background of the invented sports, distributional channel, promotional activities and so forth. To collect data, the study search literature via academic search engine including DBpia, KISS, RISS, ScienceDirect, SAGE Journals, SpringerLink, and Taylor & Francis. Results: It was found that all of the imported new sports organized association and its nationwide branches to deliver their sprots to local schools and recreational markets. second, they targeted schools and sought to broaden their markets to recreational communities. Conclusions: In order to promote new sport invented in Korea, associations need to be systematically organized and mission should be clearly stated. In addition, creative methods for promotion need to be developed. Future directions were discussed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.1102-1108
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• 2020

Mobile edge computing is a technology that can prepare for a new era of cloud computing and compensate for shortcomings by processing data near the edge of the network where data is generated rather than centralized data processing. It is possible to realize a low-latency/high-speed computing service by locating computing power to the edge and analyzing data, rather than in a data center far from computing and processing data. In this article, we develop a virtual mobile edge computing testbed environment where the cloud and edge nodes divide computing tasks from mobile terminals using the EdgeCloudSim simulator. Performance of offloading techniques for distribution of computing tasks from mobile terminals between the central cloud and mobile edge computing nodes is evaluated and analyzed under the virtual mobile edge computing environment. By providing a virtual mobile edge computing environment and offloading capabilities, we intend to provide prior knowledge to industry engineers for building mobile edge computing nodes that collaborate with the cloud.

• Knowledge Management Research
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• v.22 no.1
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• pp.139-154
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• 2021

As environmental impacts on business management rapidly rise, the importance of resilience has been emphasized ever. Resilience can be defined as the capability to quickly return to daily operational levels after external shocks. Thus, we suggest and empirically verify a conceptual model using enterprise-level resilience in knowledge management. Based on previous studies, sub-components of resilience have been distinguished into R4(i.e., Robustness, Redundancy, Resourcefulness, and Rapidity) and the internal and external knowledge management activities of companies have been identified as prior factors. Considering resilience as mediating variables, firms' knowledge management activities are assumed to affect a firms' performance. We collected data with the structured survey which had been developed from the stepwise approach to verify the structural model that leads to knowledge management activities, resilience, and performance. In further research, we request exploratory research on independent variables that can increase the firms' resilience and on dependent variables that would be influenced by the enterprise-level resilience.

• Journal of Physiology & Pathology in Korean Medicine
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• v.35 no.1
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• pp.36-41
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• 2021

Many prior studies on neck pain after a traffic accident (TA), but there is a lack of research on risk factors for post-TA neck pain in Korea. The purpose of this study was to examine the relationship between post-traffic neck pain and the demographic characteristics of TA patients and to find any factors affecting the neck pain after TA. In this study, 120 TA patients in a Korean medicine hosipital were analysized. The Korean version of the Neck disability Index (NDI) and Numeral Rating Scale (NRS) were used. Data were summarized by frequency(%) and mean(standard deviation). Pearson correlation test, Independent sample t-test, chi-squre test, one-way ANOVA and two-way ANOVA were performed. The IBM SPSS Advanced Statistics for window, version 20.0 was used for statistical processing. All p-values less than 0.05 were considered statistically significant. NDI and NRS were highly correlated. NRS and NDI showed higher scores for women, those in 30s, BMI≥25, and side collisions, but there were no statistically significant differences. For women, the direction of collision was observed to affect NDI. In this study, it was confirmed that the NDI and NRS had a high correlation. However, it was confirmed that sex, degree of obesity, direction of traffic accident collision are not factors that significantly affect the intensity of neck pain and the functional disorder by neck. It is necessary to conduct an additional study by larger scale.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.4
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• pp.11-18
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• 2021

We propose a method that combines learning in a virtual environment and a real environment for indoor autonomous driving through reinforcement learning. In case of learning only in the real environment, it takes about 80 hours, but in case of learning in both the real and virtual environments, it takes 40 hours. There is an advantage in that it is possible to obtain optimized parameters through various experiments through fast learning while learning in a virtual environment and a real environment in parallel. After configuring a virtual environment using indoor hallway images, prior learning was carried out on the desktop, and learning in the real environment was conducted by connecting various sensors based on Jetson Xavier. In addition, in order to solve the accuracy problem according to the repeated texture of the indoor corridor environment, it was possible to determine the corridor wall object and increase the accuracy by learning the feature point detection that emphasizes the lower line of the corridor wall. As the learning progresses, the experimental vehicle drives based on the center of the corridor in an indoor corridor environment and moves through an average of 70 steering commands.

• Biomolecules & Therapeutics
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• v.30 no.3
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• pp.238-245
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• 2022

Previous reports have demonstrated that genetic mechanisms greatly mediate responses to drugs of abuse, including methamphetamine (METH). The circadian gene Period 2 (Per2) has been previously associated with differential responses towards METH in mice. While the behavioral consequences of eliminating Per2 have been illustrated previously, Per2 overexpression has not yet been comprehensively described; although, Per2-overexpressing (Per2 OE) mice previously showed reduced sensitivity towards METH-induced addiction-like behaviors. To further elucidate this distinct behavior of Per2 OE mice to METH, we identified possible candidate biomarkers by determining striatal differentially expressed genes (DEGs) in both drug-naïve and METH-treated Per2 OE mice relative to wild-type (WT), through RNA sequencing. Of the several DEGs in drug naïve Per2 OE mice, we identified six genes that were altered after repeated METH treatment in WT mice, but not in Per2 OE mice. These results, validated by quantitative real-time polymerase chain reaction, could suggest that the identified DEGs might underlie the previously reported weaker METH-induced responses of Per2 OE mice compared to WT. Gene network analysis also revealed that Asic3, Hba-a1, and Rnf17 are possibly associated with Per2 through physical interactions and predicted correlations, and might potentially participate in addiction. Inhibiting the functional protein of Asic3 prior to METH administration resulted in the partial reduction of METH-induced conditioned place preference in WT mice, supporting a possible involvement of Asic3 in METH-induced reward. Although encouraging further investigations, our findings suggest that these DEGs, including Asic3, may play significant roles in the lower sensitivity of Per2 OE mice to METH.