• Bulletin of the Korean Chemical Society
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• v.22 no.11
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• pp.1213-1216
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• 2001

1,2-Diketones, camphorquinone and 1-phenyl-1,2-propanedione, are converted to the corresponding $\alpha-hydroxyketones$ in moderate to good yields by TiO2-catalyzed photochemical reactions in deoxygenated alcoholic media. The reduction yield for 1-phenyl-1,2-propanedione is considerably increased by addition of water or triethylamine

• Advances in Traditional Medicine
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• v.7 no.4
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• pp.341-347
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• 2007

Red seaweed (Callophyllis japonica) has long formed part of the diet of Asians, but the pharmacological properties of this plant have not been evaluated. In this study, we examined the effect of an ethanol extract of C. japonica on the generation of nitric oxide (NO) in RAW 264.7 cells. The C. japonica extract increased the generation of NO and tumor necrosis $factor-{\alpha}$ ($TNF-{\alpha}$), which were detected by the Griess method and an enzyme-linked immunosorbent assay, respectively. The increased production of NO by C. japonica extract was inhibited by $N^G$-monomethyl-L-arginine ($100{\mu}M$), a specific inhibitor of NO production in the L-arginine-dependent pathway, and by the nuclear $factor-{\kappa}B$ ($NF-{\kappa}B$) inhibitor, pyrrolidine dithiocarbamate ($10-100{\mu}M$) in a dose-dependent manner. These findings demonstrate that C. japonica extract stimulates the production of NO and $TNF-{\alpha}$ in RAW 264.7 cells through the activation of $NF-{\kappa}B$ and that this extract might also inhibit the growth of the human leukemic cells.

• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.21-47
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• 2017

This study aims to analyze features of topics about AI(Artificial Intelligence) which is gaining a massive attention these days. Newspaper articles published from 2016 to June, 2017 were selected to analyze key subjects. The reason why the period was selected is people started to get attention on AI since 2016 as AlphaGo came out and gave a shock. The number of coded main message was 1,210 in 525 newspaper articles in total. The messages were categorized as three subject categories: the seven major categories, 62 middle categories. and minor categories. The seven major categories contains issues such as AI research, AI application, AI business, AI era, AI argument, AlphaGo, and other topics. The first features of issues about AI found in the major subject categories is that they are various and complicate. Second, it is important that social and policy-level issues related AI, such as job losses, misuse, and error should be dealt with to utilize AI safely. Last, issues related the role of human and revolution of education system in the AI era were shown as subjects which are important but hard to discuss.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.170-174
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• 2007

Although research efforts for brain waves have prospered in medicine and engineering, acupuncture still has a long way to go regarding researches on brain waves analysis. Thus this study set out to analyze brain waves stimulated by indirect mugwort moxibustion, which was part of acupuncture techniques, and to investigate their correlations with the automatic nervous system. For the experiments, stimulation was given to Jungwan, Shingwol and Gwanwon, which were some of the spots on the body suitable for acupuncture, through indirect mugwort moxibustion. The subjects' brain waves were measured before the stimulation, during the stimulation, and one hour and two hours after the stimulation. The measurements were analyzed with Matlab 7.0 for FFT and frequency power spectrum. Then the ${\alpha}$, ${\beta}$, ${\delta}$, and ${\theta}$ waves were analyzed and examined for changes to the percentage of each frequency and to the amplitude of vibration according to the stages of stimulation. The EEG data of the entire brain were translated into FFT to analyze the percentage of the ${\alpha}$, ${\beta}$, ${\delta}$, and ${\theta}$ waves. As a result, the ${\alpha}$ waves recorded a double increase after the stimulation. The power spectrum analysis results of the entire brain decreased the ${\alpha}$ and ${\beta}$ waves dropping in the energy level, which suggested that the parasympathetic nerves were activated. When the results of the study were compared with those of the previous study, it's confirmed that indirect moxibustion stimulation could cause changes to the automatic nervous system and bring stability to those who were nervous or under stress due to the proportionate increase of the ${\alpha}$ waves.

• Korean Journal of Medicinal Crop Science
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• v.17 no.2
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• pp.109-114
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• 2009

Rhubarb is the well-known and frequently used herbal medicine for the treatment of constipation, inflammation, and cancer. As described in the Korea and Chinese Pharmacopoeia, rhubarb consists of the roots and rhizomes of Rheum palmatum, R. officinale, and R. tanguticum. However, the pharmacological differences among rhubarb have not been scientifically established. In the present study, we investigated and compared the inhibitory effects of 70% ethanolic extracts from R. palmatum (RPE), R. officinale (ROE), R. nobile (RNE), and R. franzenbachii (RFE) on the production of inflammatory mediators, nitric oxide (NO), prostaglandin $E_2$ ($PGE_2$), interlukin-1beta ($IL-1{\beta}$), and tumor necrosis factor-alpha ($TNF-{\alpha}$) in RAW 264.7 macrophage cells. ROE, RNE, and RFE significantly inhibited the release of NO, $PGE_2$, $IL-1{\beta}$, and $TNF-{\alpha}$. RPE significantly reduced the release of $IL-1{\beta}$, but not NO, $PGE_2$, and $TNF-{\alpha}$. Overall, RFE was found to inhibit the release of $PGE_2$ and $IL-1{\beta}$, to a far greater degree than RPE, ROE, and RNE. Our results indicate that RFE possess the strongest anti-inflammatory activity among 4 tested rhubarb.

• Journal of Korean Elementary Science Education
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• v.37 no.2
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• pp.126-146
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• 2018

The current study explores students' views about artificial intelligence (AI) through analyses of their drawings and perceptions. The data were gathered from a total of 177 elementary school students. The constant comparative analysis was used as the data analysis method. Based on the result, the current study found that students' views about artificial intelligence were constructed into two distinct dimensions: form and relationship. The form dimension, students' views about artificial intelligence were categorized into human, household goods, machine, smart computer, electronic chip/algorithm, or the hybridized form related to the game of go such as AlphaGo. On the relationship dimension, students' views about artificial intelligence were categorized into servants, friends or enemy. Given the combination of two dimensions, the current study found two noted patterns. The first, students who viewed artificial intelligence as human form perceived artificial intelligence as a friend or an enemy. However, those who viewed artificial intelligence as non-human form perceived artificial intelligence as a servant or an enemy. Based on these results, educational implications related to the preparation of artificial intelligence era for elementary science education are discussed.

• Journal of Sensor Science and Technology
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• v.23 no.5
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• pp.295-298
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• 2014

A novel approach to fabricating high-performance glucose sensors is reported, which is based on the process of self-assembled monolayers (SAMs). In this study, we have particularly used ${\alpha}$-lipoic acid (LA) SAMs for the glucose sensors. To our best knowledge, this study is the first one to use LA as SAMs for this purpose. N-hydroxysuccinimide (NHS) and 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC) were deliberately attached at the same time on the LA SAM. Then, glucose oxidase ($GO_X$) and horseradish peroxidase (HRP) were sequentially immobilized. Thus, the HRP/$GO_X$/NHS-EDC/LA-SAM/Au/Cr/glass working electrode was developed. The glucose-sensing capability of the fabricated sensor was systematically measured by the use of cyclic voltammetry in the range of 1-30 mM glucose in phosphate-buffered saline. The result showed a good sensitivity, that is, as high as $27.5{\mu}A/(mM{\cdot}cm^2)$. This result conspicuously demonstrates that LA can be one of promising substances for use as SAMs for accurately monitoring trace levels of glucose concentration in human blood.

• Journal of Wellbeing Management and Applied Psychology
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• v.2 no.1
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• pp.1-8
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• 2019

"In the future, 80% of doctors will be replaced by advanced technology." It has been talked about for a long time. When I first heard this story, people said it was ridiculous. But now that AlphaGo has won the Go match against Lee Se-dol, and many global companies have come up with a variety of services and products based on artificial intelligence, the story has become no more than ridiculous. In other words, it is beginning to come true. Artificial intelligence technology is already widely used in manufacturing and service industries. This spread of artificial intelligence is sure to usher in an era of great change in our future. And it is safe to say that it is the "medical world" where the biggest changes will be made. So how on earth does artificial intelligence replace medical personnel? If replaced, where would you stand out? In order to understand this, we must first be familiar with deep learning, which is the basis of medical artificial intelligence. And as the fourth industrial revolution gradually approaches reality, various occupational groups are becoming meaningless, as in the preceding industrial revolution, and in this paper we will learn about the impact of this situation on the medical community.

• Journal of dental hygiene science
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• v.6 no.2
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• pp.119-125
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• 2006

This study executed questionnaire by own recording way using questionnaire to Dental Hygiene of W health science college and 365 students locating in Cholla-bukdo area from September 10, 2005 October 9. Distribution by class was first-year student 115 people, second-year student 125 people, third-year student 120 people, and collected data enforced crossing analysis, multiple response analysis, correlation analysis using statistical analysis program SPSS(V. 11.5) and significance level(${\alpha}$) used in all verifications was 0.05. 1. Seoul was the most to employment hope area and(p<0.01), there was difference that keep in mind statistically because appears salary highest about selection reason(p<0.001). 2. knowledge degree about can go to work appeared by 52.8% for doing not know, and when go to work 60.8% was thinking aptitude and interest most importantly and there was difference that keep in mind statistically(p<0.01). 3. when go to work 35.3% prevention medical examination and treatment business that 27.2% hopes dental management business appear(p<0.01). 4. I appeared accomplish result weak static correlation that analyze interrelation of degree of dictionary knowledge about can do interest degree about dental hygienist job and an employment(p<0.01).

• Biomolecules & Therapeutics
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• v.26 no.3
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• pp.298-305
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• 2018

Rhomboid family member 2 gene (Rhbdf2) is an inactive homologue lacking essential catalytic residues of rhomboid intramembrane serine proteases. The protein is necessary for maturation of tumor necrosis factor-alpha ($TNF-{\alpha}$) converting enzyme, which is the molecule responsible for the release of $TNF-{\alpha}$. In this study, Rhbdf2 knockout (KO) mice were produced by CRISPR/CAS9. To see the effects of the failure of $TNF-{\alpha}$ release induced by Rhbdf2 gene KO, collagen-induced arthritis (CIA), which is the representative $TNF-{\alpha}$ related disease, was induced in the Rhbdf2 mutant mouse using chicken collagen type II. The severity of the CIA was measured by traditional clinical scores and histopathological analysis of hind limb joints. A rota-rod test and grip strength test were employed to evaluate the severity of CIA based on losses of physical functions. The results indicated that Rhbdf2 mutant mice showed clear alleviation of the clinical severity of CIA as demonstrated by the significantly lower severity indexes. Moreover, a grip strength test was shown to be useful for the evaluation of physical functional losses by CIA. Overall, the results showed that the Rhbdf2 gene has a significant effect on the induction of CIA, which is related to $TNF-{\alpha}$.