• Korean Journal of Organic Agriculture
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• v.28 no.4
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• pp.659-677
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• 2020

Leonurus japonicus (L. japonicus) Houtt., a biennial plant in the Lamiaceae family is broadly distributed in Asia such as Korea, China, Japan. The aerial part of L. japonicus is used as a traditional medicine to treat uterine disease including dysmenorrhea, amenorrhea, sterility. In this study, we examined the antioxidant and anti-inflammatory effects of L. japonicus ethanol extracts. The antioxidant activity of L. japonicus was measured by total polyphenol and flavonoid content, and DPPH, ABTS scavenging, reducing power activity, and intracellular ROS expression assay. The anti-inflammatory effects were measured by nitric oxide (NO), cytokines (TNF-α and IL-1β) production and inflammatory protein expression in LPS-induced RAW 264.7 cells. Total polyphenol and flavonoid content of L. japonicus were 51.40 ± 0.47 mg of gallic acid equivalents/g and 73.28 ± 0.10 mg of rutin equivalents/g respectively. DPPH, ABTS radical scavenging activity and reducing power activity tended to increase concentration-dependent and treatment L. japonicus with 400 ㎍/mL reduced ROS production by 69.5%. Furthermore, L. japonicus inhibited NO, TNF-α and IL-1β production in a concentration-dependant manner and reduced the expression levels of inflammatory proteins via regulating NF-κB, MAPK pathway. Therefore, we suggest that L. japonicus could be a natural antioxidants and medicinal source to treat oxidative stress and inflammation-related disease.

• Journal of Intelligence and Information Systems
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• v.25 no.3
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• pp.161-177
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• 2019

In this paper, we study the performance improvement of the answer extraction in Question-Answering system by using sentence dependency parsing result. The Question-Answering (QA) system consists of query analysis, which is a method of analyzing the user's query, and answer extraction, which is a method to extract appropriate answers in the document. And various studies have been conducted on two methods. In order to improve the performance of answer extraction, it is necessary to accurately reflect the grammatical information of sentences. In Korean, because word order structure is free and omission of sentence components is frequent, dependency parsing is a good way to analyze Korean syntax. Therefore, in this study, we improved the performance of the answer extraction by adding the features generated by dependency parsing analysis to the inputs of the answer extraction model (Bidirectional LSTM-CRF). The process of generating the dependency graph embedding consists of the steps of generating the dependency graph from the dependency parsing result and learning the embedding of the graph. In this study, we compared the performance of the answer extraction model when inputting basic word features generated without the dependency parsing and the performance of the model when inputting the addition of the Eojeol tag feature and dependency graph embedding feature. Since dependency parsing is performed on a basic unit of an Eojeol, which is a component of sentences separated by a space, the tag information of the Eojeol can be obtained as a result of the dependency parsing. The Eojeol tag feature means the tag information of the Eojeol. The process of generating the dependency graph embedding consists of the steps of generating the dependency graph from the dependency parsing result and learning the embedding of the graph. From the dependency parsing result, a graph is generated from the Eojeol to the node, the dependency between the Eojeol to the edge, and the Eojeol tag to the node label. In this process, an undirected graph is generated or a directed graph is generated according to whether or not the dependency relation direction is considered. To obtain the embedding of the graph, we used Graph2Vec, which is a method of finding the embedding of the graph by the subgraphs constituting a graph. We can specify the maximum path length between nodes in the process of finding subgraphs of a graph. If the maximum path length between nodes is 1, graph embedding is generated only by direct dependency between Eojeol, and graph embedding is generated including indirect dependencies as the maximum path length between nodes becomes larger. In the experiment, the maximum path length between nodes is adjusted differently from 1 to 3 depending on whether direction of dependency is considered or not, and the performance of answer extraction is measured. Experimental results show that both Eojeol tag feature and dependency graph embedding feature improve the performance of answer extraction. In particular, considering the direction of the dependency relation and extracting the dependency graph generated with the maximum path length of 1 in the subgraph extraction process in Graph2Vec as the input of the model, the highest answer extraction performance was shown. As a result of these experiments, we concluded that it is better to take into account the direction of dependence and to consider only the direct connection rather than the indirect dependence between the words. The significance of this study is as follows. First, we improved the performance of answer extraction by adding features using dependency parsing results, taking into account the characteristics of Korean, which is free of word order structure and omission of sentence components. Second, we generated feature of dependency parsing result by learning - based graph embedding method without defining the pattern of dependency between Eojeol. Future research directions are as follows. In this study, the features generated as a result of the dependency parsing are applied only to the answer extraction model in order to grasp the meaning. However, in the future, if the performance is confirmed by applying the features to various natural language processing models such as sentiment analysis or name entity recognition, the validity of the features can be verified more accurately.

• Journal of Life Science
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• v.28 no.9
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• pp.999-1006
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• 2018

Obesity is epidemic worldwide and has reportedly been linked to the progression of several metabolic and cardiovascular diseases. The natural products are decreasing the side effects of medicines used for obesity and also have health benefits dut to their numerous bioactive compounds. In this context, Artemisia scoparia is a widespread plant that has been suggested as possessing various types of bioactivity. In this study, the crude extract from A. scoparia (ASE) was tested for its ability to suppress adipogenesis in mouse 3T3-L1 pre-adipocytes. The molecular pathway by which ASE affects differentiation of 3T3-L1 cells was also investigated. The introduction of ASE to differentiating 3T3-L1 pre-adipocytes resulted in suppressed adipogenesis, as confirmed by decreased intracellular lipid accumulation. The differentiating cells treated with 10 and $100{\mu}g/ml$ of ASE showed 21.9 and 29.0% less lipid accumulation, respectively, than untreated adipocytes. In addition, the results indicated that ASE treatment lowered the expression of the adipogenesis-related factors $PPAR{\gamma}$, $C/EBP{\alpha}$, and SREBP-1c. Furthermore, treating with ASE notably decreased levels of phosphorylated p38, ERK, and JNK in 3T3-L1 adipocytes. These results indicate that ASE exhibits significant anti-adipogenesis activity by downregulating the MAPK and $PPAR{\gamma}$ pathways during the differentiation of 3T3-L1 pre-adipocytes. Therefore, A. scoparia may be a potential source of natural products against obesity.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.3
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• pp.551-564
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• 2016

Earthworks are the fundamental steps in a construction job, and are mainly comprised of smaller tasks performed by construction machinery. The productivity of the construction job can be improved by optimizing excavation, filling, and other such operations. Earthworks involve a lot of mechanical work performed by the collaboration between various kinds of construction equipment, which in turn leads to higher fuel consumption. Actual earthworks depend mostly on the intuition and experience of the driver of the machines, thus leading to inefficiency and environmental problems caused by unnecessary emission of carbon, Recently automated and information-oriented technologies are consistently being researched towards the improvement of efficiency of earthworks in the construction industry. The present research involves the introduction and understanding of the decision-making elements of heuristics which can be applied to the earthwork planning. A method is also suggested for creating an effective work path for construction machine to perform task packages (TP) for cutting and filling processes. A simulation test is performed to verify the effectiveness of suggested methods in terms of space interference and total moving distance of construction equipment.

• Journal of Life Science
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• v.24 no.2
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• pp.209-217
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• 2014

In a variety of eukaryotic cells, autophagy sequesters a portion of the cytoplasm and targets it to a lytic compartment for degradation in bulk. Autophagy is a dynamic process for degrading cytoplasmic cargoes with various degrees of selectivity, and its activity is tightly regulated in a nutrient- and development-dependent manner. Autophagy research has drawn much attention since autophagy not only is an interesting cell biological phenomenon but also has great potential for medical and agricultural applications. For example, autophagy is associated with cancers and neurodegenerative diseases in human and mammalian cells and is also suggested in remobilization of nutrients during the senescence of plant leaves. In this general review, we describe genetic components of the core autophagic machinery conserved among yeast, animals, and plants and briefly explain how these components are responsible for major steps in plant autophagy. We discuss four common features of autophagic processes: (i) autophagy as a degradation pathway, (ii) the concept of flux in autophagy research, (iii) dependency on developmental and nutritional cues, and (iv) diversity of autophagy, focusing on selective types of autophagy. We also summarize cell biological and physiological functions of plant autophagy. Our intention is to provide a quick guide to autophagy for those who are new to autophagy research.

• Journal of Life Science
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• v.33 no.4
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• pp.349-356
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• 2023

Gout, a chronic inflammatory arthritic disease, is characterized by hyperuricemia. Gout can be induced by an inflammatory response to monosodium urate (MSU) crystals mediated by pro-inflammatory cytokine release following activation of the NOD-like receptor protein 3 (NLRP3) inflammasome. Many sulfur-containing phytochemical compounds in garlic (Allium sativum L.) are considered active ingredients because of their potential pharmacological benefits for various diseases, but their efficacy in NLRP3 inflammasome activation-mediated gout has not been demonstrated. In this study, we investigated whether diallyl disulfide (DADS) and diallyl trisulfide (DATS), representative garlic-derived sulfur compounds, have an inhibitory effect on MSU-induced NLRP3 inflammasome activation. Our results showed that under non-cytotoxic conditions, DADS and DATS significantly blocked nitric oxide production and interleukin (IL)-1β release in response to MSU in lipopolysaccharide (LPS)-primed RAW 264.7 macrophages. DADS and DATS also attenuated enhanced expression of NLRP3 and its adapter protein, apoptosis-associated speck-like protein, which was associated with downregulation of and caspase-1 p20 and IL-1β expression, suggesting that MSU-induced LRP3 inflammasome activation was counteracted by DADS and DATS. Furthermore, DADS and DATS blocked oxidative stress, an upstream event for NLRP3 inflammasome activation, as evidenced by the fact that they scavenged reactive oxygen species (ROS) production. Taken together, our findings demonstrate that DADS and DATS suppressed NLRP3 inflammasome activation by inhibiting the ROS/NLRP3 pathway and that they have potential as treatments for NLRP3-dependent gouty arthritis.

• The Journal of Industrial Distribution & Business
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• v.9 no.3
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• pp.45-56
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• 2018

Purpose - The Korean university education system is facing innovation and change, including cooperation between industry and university, Therefore It is important to activate the industry-university cooperation. This paper aims to demonstrate the factors that activate industry-university cooperation, particularly about the voluntary participation induction by industry and researching in path dependency perspectives. Research design, data, and methodology - The subject of this research were companies that are aware of the industry-university cooperation program. This research hypothesis is derived from the literature of previous studies of industry-university cooperation, This study have constructs that was defined operationally with reference to previous studies, this research model design to figure out structural relationship among technology leadership of university, university specialization, local network strength, fixation of local economy, recognition of path dependence, participation by industry, performance of industry-university cooperation. From 2017 July. 1 to Sept. 31, questionnaire survey targeting company staff who is involving in industry-university cooperation. 257 questionnaire survey had conducted. 249 investigated data were used for empirical analysis except wrong data. This data were used for AMOS(structural equation) & Regression statistics to verify hypothesis which developed by researcher. Results - The results of this study are as follows. First, technology leadership of universities has a significant effect on voluntary participation by industry. University specialization has significant effect on voluntary participation by industry. Second, local network strength has significant effect on voluntary participation by industry. but fixation of local economy does not affect voluntary participation by industry. Third, recognition of path dependence has moderating effect between Independent(university, company characteristics) and dependent variables(voluntary participation by industry) When recognition level of path dependence is high, preceding factors have a significant effect on voluntary participation by industry than recognition level of path dependence is low. As a result, the degree of recognition of path dependence was shown important variables that induce voluntary participation of industry for industry-university cooperation program. Conclusions - This study suggests that voluntary participation of industry is a very important factor in the achievement of industry-university cooperation. Recognition of interdependence as well as leading factors that encourage voluntary participation of industry is also just as important. If recognition of path dependence was high, Industry's voluntary participation was high.

• Journal of Life Science
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• v.27 no.11
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• pp.1233-1244
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• 2017

CDPKs have pivotal roles in plant $Ca^{2+}$-mediated transduction signaling. A total of 29 CDPK genes have been identified in rice (Oryza sativa L.), but their key functions have not been completely noted. This study focused on the OsCPK11 gene, which has not been studied, to determine its functional characteristics. A study of tissue-specific expressions revealed that the OsCPK11 gene is expressed in young leaves, mature leaves and flowers of rice. An expression of the gene was also confirmed in gibberellin-treated aleurone layers of rice. Regarding the phenotypic characteristics of Tos17-inserted OsCPK11 mutants, the heights of the mutants were not distinguishable from the heights of wild type plants, but the number of caryopses and the caryopses' weights were significantly statistically different. In addition, many grains of the mutants had white belly materials in their endosperm. The cDNA of the OsCPK11 was cloned, and an OsCPK11 protein of about 60.5 kD was obtained by using a GST affinity chromatography and an SDS-PAGE. An analysis of the amino-acid sequence of the protein indicated that the OsCPK11 protein has the structural characteristics of typical CDPKs. The results provided useful information about the functions of the OsCPK11 gene and further noted the roles CDPKs have in $Ca^{2+}$-mediated signaling in plants.

• Journal of the Korean Geosynthetics Society
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• v.3 no.2
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• pp.3-11
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• 2004

Fabric Foam systems provide a variety of flexible bank protection for open channels and hydrulic structures. The structural performance and durability of conventional bank protection materials such as concrete, gravel, riprap and vegetation can be significantly improved by confining the materials within the cells of Fabric Foam system. This paper presents the results of field and laboratory tests carried out to evaluate the performance of new Fabric Foam System as a Bank Protection. The results of the tests confirmed effect of Fabric Foam System in Bank Protection.

• KDI Journal of Economic Policy
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• v.19 no.1
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• pp.3-50
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• 1997

경제자유화(經濟自由化)와 규제완화(規制緩和)라는 세계적인 흐름과 함께 우리나라도 1992년 이후 자본시장(資本市場)을 점진적으로 개방(開放)하고 있다. 본 연구에서는 우선 몇몇 핵심 거시경제변수(巨視經濟變數)들의 상관관계(相關關係)가 자본거래의 자유화와 더불어 어떻게 변화할 것인가에 대한 이론적(理論的)인 배경(背景)을 설명하고 있다. 여기에서는 무엇보다도 자본자유화(資本自由化)와 더불어 나타나게 되는 실질환율체상(實質換率切上)및 경상수지적자(經常收支赤字)의 의미를 합리적인 경제주체들이 자원(資源)을 보다 효율적(效率的)으로 배분(配分)하고자 하는 노력의 결과로 나타나는 현상으로 파악하고 있다. 즉 자본시장의 개방은 상대적으로 높은 국내의 자본생산성 및 실질이자율을 향한 해외자본의 유입(자본수지(資本收支)의 흑자(黑字))을 초래하며, 대외부문의 항등식을 고려하는 한 이는 경상수지(經常收支)의 적자(赤字)로 연결된다. 또한 본 연구에서는 신고전파적(新古典派的) 장기모형(長期模型)과 케인즈적(的) 단기모형(短期模型)에 기초한 거시경제 모형을 구성하고 자본자유화(資本自由化)의 속도(速度), 환율(換率)및 통화정책(通貨政策)의 변화에 따른 거시경제의 동태적(動態的) 시간경로(時間經路)를 계량화하고자 노력하였다. 예를 들어 경상수지적자(經常收支赤字)의 폭은 자본자유화의 추진속도 및 거시정책에 의존할 것이나, 예상하지 못한 큰 충격이 도래하지 않는 경우 향후 2~3년간 GDP 대비 3% 내외에 이를 것으로 추정되며, 그 이후에는 실질이자율의 하락과 함께 적자폭도 축소될 것으로 나타나고 있다. 그리고 실질환율(實質換率)의 시간경로는 자본유입과 함께 지속적으로 절상될 수는 없으며 개방초기의 절상에 이어 점차 절하되는 추세에 놓이게 될 것이다. 자본시장의 개방에 따른 경상수지의 적자는 국내의 (실물)자본축적을 보다 용이하게 함으로써 실질이자율(實質利子率)을 하락(下落)시킬 것으로 기대되나 그 효과는 연 0.2%포인트 이내에 머무를 것으로 추정되었다. 아울러 자본자유화의 초기단계에 발생할 환율절상은 수출의 가격경쟁력을 약화시켜 단기적(短期的)으로 경기침체(景氣沈滯)를 유발할 수 있으나 중장기적(中長期的)으로 성장잠재력(成長潛在力)을 확충시킨다.