• The Korea Journal of Herbology
• /
• v.33 no.1
• /
• pp.37-46
• /
• 2018

Objectives : Liver disease is an inflammatory reaction caused by oxidative stress, viral, alcohol, and drug properties. Inflammatory reaction causes hepatitis and chronic hepatitis is persistent, it progresses to liver fibrogenesis and liver cancer. The aim of this study was to confirm the hepatoprotective effect of Tongyuhwalhyeol-tang(Tongqiaohuoxue Decoction) (TH) and Gamtongyuhawlhyeol-tang(GTH) in TAA-induced liver injury animal model. Methods : The antioxidant activities were evaluated through in vitro experiments, such as 1, 1-diphenyl-2-picrylhydrazyl (DPPH) and 2, 2'-azinobis-3-ethyl-benzothiazoline-6-sulfonic acid (ABTS) radical scavenging assays, total polyphenol and total flavonoid content measurement. To confirm the liver protective effect, induced by Thioacetamide (TAA) for 3 days injection at 200 mg/kg rats. TH and GTH were treated 3 days at 200 mg/kg/day. The changes of reactive oxygen species (ROS), peroxynitrite ($ONOO^-$), alanine aminotransferanse (ALT) and aspartate aminotransferase (AST) in serum were analyzed after experiment. Also, expression of anti-inflammation, anti-oxidant related proteins were investigated by western blot analysis. Results : TH was inhibited the antioxidant activities. In the TAA-induced rat, TH decreased ROS, $ONOO^-$, ALT, AST level in serum. Inflammation related protein expressions increased in TAA-induced rat compared to normal rat. However, TH group inhibited the down expression of these proteins. Also, anti-oxidant related protein expressions increased in TH group compared TAA-induced rat. Conclusion : Therefor, these results suggested that TH provided hepatoprotective effects on the hepatic injury leading to the reduction of inflammatory response. In addition, the effect of TH was superior to that of GTH.

• Journal of Korea Water Resources Association
• /
• v.55 no.12
• /
• pp.1137-1147
• /
• 2022

River and groundwater stages are the main elements in the hydrologic cycle. They are spatially correlated and can be used to evaluate hydrological and agricultural drought. Stochastic simulation is often performed independently on hydrological variables that are spatiotemporally correlated. In this setting, interdependency across mutual variables may not be maintained. This study proposes the Bayesian vector autoregression model (VAR) to capture the interdependency between multiple variables over time. VAR models systematically consider the lagged stages of each variable and the lagged values of the other variables. Further, an autoregressive model (AR) was built and compared with the VAR model. It was confirmed that the VAR model was more effective in reproducing observed interdependency (or cross-correlation) between river and ground stages, while the AR generally underestimated that of the observed.

• Journal of Korea Water Resources Association
• /
• v.55 no.9
• /
• pp.657-668
• /
• 2022

With the occurrence of localized heavy rain while river flow has increased, both flow and rainfall cause riverside flood damages. As the degree of damage varies according to the level of social and economic impact, it is required to secure sufficient forecast lead time for flood response in areas with high population and asset density. In this study, the author established a flood risk matrix using ensemble rainfall runoff modeling and evaluated its applicability in order to increase the damage reduction effect by securing the time required for flood response. The flood risk matrix constructs the flood damage impact level (X-axis) using flood damage data and predicts the likelihood of flood occurrence (Y-axis) according to the result of ensemble rainfall runoff modeling using LENS rainfall data and as well as probabilistic forecasting. Therefore, the author introduced a method for determining the impact level of flood damage using historical flood damage data and quantitative flood damage assessment methods. It was compared with the existing flood warning data and the damage situation at the flood warning points in the Taehwa River Basin and the Hyeongsan River Basin in the Nakdong River Region. As a result, the analysis showed that it was possible to predict the time and degree of flood risk from up to three days in advance. Hence, it will be helpful for damage reduction activities by securing the lead time for flood response.

• Journal of Life Science
• /
• v.32 no.5
• /
• pp.355-361
• /
• 2022

Melanin pigments are the main cause of skin color. They are produced in melanocytes and then transferred to keratinocytes, which eventually gives the skin surface a variety of colors. Although many skin-lightening or depigmenting agents have been developed, the demand for materials to reduce pig- mentation is still increasing. Here, we tried to find materials for skin-lightening or depigmentation using natural compounds and found that mistletoe (Viscum album var. coloratum) extracts (ME) had an inhibitory effect on tyrosinase activity. As a result, ME significantly reduced pigmentation in human primary melanocytes. In addition, a promoter reporter assay revealed that ME inhibited the transcription of microphthalmia-associated transcription factor (MITF), melanophilin (MLPH), tyrosinase-related protein-2 (TRP-2), and tyrosinase (TYR) genes in HM3KO melanoma cells. In addition, ME decreased the protein level for pigmentation-related molecules, such as TYR and TRP-1. Furthermore, it markedly inhibited the melanogenesis of zebrafish embryos, an in vivo evaluation model for pigmentation. To elucidate the action mechanism of ME, we investigated its effects on intracellular signaling. Eventually, the ME dramatically decreased the phosphorylation of the cAMP responsive element binding protein (CREB), AKT, and ERK. The data suggest that ME may inhibit the melanogenesis pathway by regulating the signaling pathway related to pigmentation. Taken together, these data propose that ME can be developed as a depigmenting or skin-lightening agent.

• Journal of the Korea Computer Graphics Society
• /
• v.28 no.3
• /
• pp.79-89
• /
• 2022

With the popularity and the advanced graphics hardware technology of mobile devices, various mobile applications that help children with physical activities have been studied. This paper presents SandUp, a mobile application that guides the play of building sand castles using artificial intelligence and augmented reality(AR) technology. In the process of building the sandcastle, children can interactively explore the target virtual sandcastle through the smartphone display using AR technology. In addition, to help children complete the sandcastle, SandUp informs the sand shape and task required step by step and provides visual and auditory feedback while recognizing progress in real-time using the phone's camera and deep learning classification. We prototyped our SandUp app using Flutter and TensorFlow Lite. To evaluate the usability and effectiveness of the proposed SandUp, we conducted a questionnaire survey on 50 adults and a user study on 20 children aged 4~7 years. The survey results showed that SandUp effectively helps build the sandcastle with proper interactive guidance. Based on the results from the user study on children and feedback from their parents, we also derived usability issues that can be further improved and suggested future research directions.

• Journal of Life Science
• /
• v.33 no.3
• /
• pp.252-259
• /
• 2023

A decrease in ovarian function and sex hormone production with aging results in hormone deficiency, which causes menopause in women. Natural products have been investigated to develop estrogen-like substances to improve menopausal status in women. This study was performed to evaluate the efficacy of Gastrodia elata Blume extract (TVB-1000) in ovariectomized rats. After a recovery period of 7 days, the TVB-1000 treatment group was orally administered at 16, 40, and 100 mg/kg for 12 weeks. In the OVX-positive control group, 17β-estradiol was injected subcutaneously into the dorsal region of rats at a dose of 10 ㎍/kg. Results show that TG and LDL-C, which are cardiovascular disease markers, were significantly decreased in all concentrations of TVB-1000 administration in the treatment group, and the LDL-C/HDL-C ratio significantly decreased in the medium and high TVB-1000 concentrations of the treatment group. In addition, in the high concentration TVB-1000 treatment group, the weight of abdominal fat decreased with statistical significance. The low-dose and medium-dose administration groups showed statistical significance and the expression level of their ER-α increased, but ER-β did not show a significant change. The above experiment shows that owing to the estrogen-like effect of TVB-1000, it can be useful as a functional food material to prevent cardiovascular disease, which is one of the menopausal symptoms.

• Journal of Korea Water Resources Association
• /
• v.56 no.9
• /
• pp.587-602
• /
• 2023

Due to climate change, population growth, and economic development, the demand for water in the urban water system (UWS) and the energy required for water use constantly increase. Therefore, beyond the traditional method of considering only the water sector, the Nexus approach, which considers synergies and trade-offs between the water and energy sectors, has begun to draw attention. In previous researches, the Nexus methodology was used to demonstrate that the UWS is an energy-intensive system, analyze the water-energy efficiency relationship surrogated by energy intensity, and identify climate (long-term climate change, drought, type), geographic characteristics (topography, flat ratio, location), system characteristics (total supply water amount, population density, pipeline length), and operational management level (water network pressure, leakage rate, water saving) effects on the UWS. Through this, it was possible to suggest the direction of policies and institutions to UWS managers. However, there was a limit to establishing and implementing specific action plans. This study built the energy intensity matrix of the UWS, quantified the impact of city conditions, external influences, and operational management levels on the UWS using the water-energy Nexus model, and introduced water-energy efficiency criteria. With this, UWS managers will be able to derive strategies and action plans for efficient operation management of the UWS and evaluate suitability and validity after implementation.

• Clean Technology
• /
• v.16 no.2
• /
• pp.117-123
• /
• 2010

In this study, we propose two methods able to recover different type of gold from gold-cyanide solutions: biosorption and desorption process for mono-valent gold recovery and biosorption and incineration process for zero-valent gold recovery. The waste bacterial biomass of Corynebacterium glutamicum generated from amino acid fermentation industry was used as a biosorbent. The pH edge experiments indicated that the optimal pH range was pH 2 - 3. From isothermal experiment and its fitting with Langmuir equation, the maximum uptake capacity of Au(I) at pH 2.5 were determined to be 35.15 mg/g. Kinetic tests evidenced that the process is very fast so that biosorption equilibrium was completed within the 60 min. To recover Au(I), the gold ions were able to be successfully eluted from the Au-loaded biosorbent by changing the pH to pH 7 and the desorption efficiency was 91%. This indicates that the combined process of biosorption and desorption would be effective for the recovery of Au(I). In order to recover zero-valent gold, the Au-loaded biosorbents were incinerated. The content of zero-valent gold in the incineration ash was as high as 85%. Therefore, we claim on the basis of the results that two suggested combined processes could be useful to recover gold from cyanide solutions and chosen according to the type of gold to be recovered.

• Journal of the Korean Society for information Management
• /
• v.39 no.4
• /
• pp.23-48
• /
• 2022

The purpose of this study is to investigate the flow of domestic information literacy education research using keyword network analysis and topic modeling and to explore the direction of information literacy education in the future. For this reason, 306 academic papers related to information literacy education published in academic journals of the library and information science field in Korea were chosen. And through the preprocessing process for abstracts of the paper, total keyword appearance frequency, keyword appearance frequency by period, and keyword simultaneous occurrence frequency were analyzed. Subsequently, keyword network analysis analyzed the degree centrality, between centrality, and eigenvector centrality of keywords. Using structural topic modeling analysis, 15 topics -curriculum, information literacy effect, contents of information literacy education, school library education, information media literacy, information literacy ability evaluation index, library anxiety, public library program, health information literacy ability, digital divide, library assisted instruction improvement, research trend, information literacy model, and teacher role-were derived. In addition, the trend of topics by year was analyzed to confirm the change in relative weight by topic. Based on these results, the direction of information literacy education and the suggestions for follow-up research were presented.

• Journal of The Korean Association of Information Education
• /
• v.26 no.5
• /
• pp.341-352
• /
• 2022

The wave of a knowledge and information society led by AI, Big Data, and so on is having an all-round impact on our way of life. Therefore the Ministry of Education is in a hurry to strengthen Digital Literacy, including AI and SW Education, by improving the curriculum that can cultivate basic knowledge and capabilities to respond to changes in the future society. It can be seen that establishing a foundation for cultivating Digital Literacy through all subjects and improving basic and in-depth learning in new technology fields such as AI linked to the information curriculum is an essential part for future society. However, research on each content for cultivating Digital and AI literacy is relatively active, while research on teaching and learning strategies is insufficient. Therefore in this study, a CT-based Digital and AI teaching and learning strategy that can foster that was developed and Delphi expert verification was conducted, and the final teaching and learning strategy was completed after evaluating instructor usability and analyzing learner effectiveness.