Yoon, Young-Eun;Kim, Song Yoeb;Choe, Hyeonji;Cho, Ju Young;Seo, Woo Duck;Kim, Young-Nam;Lee, Yong Bok
Korean Journal of Environmental Agriculture
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v.40
no.4
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pp.290-294
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2021
BACKGROUND: Barley sprouts contain a large number of secondary metabolites such as polyphenols, saponarin, and policosanols. The synthesis of such secondary metabolites occurs as a defense mechanism against external environmental stresses. In particular, it has been widely known that drought stress (DS) increases the content of flavonoids in plants. The objective of this study was to investigate the effects of drought stress treatment on the saponarin content in barley sprouts during the growing period. METHODS AND RESULTS: In this study, changes in saponarin content with different DS exposure periods and times were evaluated under the hydroponic system. For establishing different DS treatment periods, water supply was stopped for 1, 2, and 3 days, once leaf length was at 10 cm. To control different DS treatment times, water supply was stopped for 2 days, once leaf lengths were 5, 10, and 15 cm. As a result, the water potential of barley sprouts decreased from -0.8 MPa (before DS treatment) to -1.2, -2.4, and -3.2 MPa (after DS treatment), and reversely recovered to -0.8 MPa after re-irrigation. When 10 cm leaves were subjected to DS for 1 and 2 days, the saponarin content increased by 12 and 10%, respectively, while it increased by 19% when DS was applied to the 5 cm leaves. CONCLUSION(S): The results of this study suggest that drought stress at the early stage of growth (5 cm) is most helpful to increase the saponarin content of barley sprouts.
Jo, Hyun Jin;Karadeniz, Fatih;Oh, Jung Hwan;Seo, Youngwan;Kong, Chang-Suk
Journal of Life Science
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v.32
no.5
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pp.331-339
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2022
Melanin is a pigment produced by melanocytes to protect the skin from external stimuli, mainly ultraviolet (UV) rays. However, abnormal and excessive production of melanin causes hyperpigmentation disorders, such as freckles, age spots, and discoloration. Natural cosmeceuticals are a new trend for treating or preventing hyperpigmentation due to fewer side effects and biocompatibility. In this context, the current study focused on Cnidium japonicum, a halophyte with several uses in folk medicine, to evaluate its potential as a skin-whitening agent. The effect of C. japonicum extract (CJE) on melanin production was analyzed in melanogenesis-stimulated B16F10 melanoma cells. The results showed that CJE successfully inhibited the oxidation of tyrosine and L-DOPA by tyrosinase and subsequently decreased the production of the key enzymes responsible for melanin production: tyrosinase, tyrosinase-related protein-1, and protein-2. This effect was confirmed by decreased intracellular and extracellular melanin levels in B16F10 melanoma cells after CJE treatment. Further experiments to elucidate the action mechanism revealed that CJE treatment suppressed melanin production by inhibiting the activation of glycogen synthase kinase 3 β (GSKβ)/β-catenin and protein kinase A (PKA)/cAMP-response element binding protein (CREB) pathways, which are the upstream activators of melanogenesis. In conclusion, the present study suggests that C. japonicum is a potential natural source of bioactive substances for the development of novel cosmeceuticals that can act against hyperpigmentation.
Shin, Mi-Rae;Lee, Jin A;Kim, Min Ju;An, Hyo-Jin;Roh, Seong-Soo
The Korea Journal of Herbology
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v.35
no.1
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pp.57-68
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2020
Objective : The aim of present study was to clarify the effect of Areca Semen and Toosendan Fructus Mixture (AT-mix) on chronic reflux esophagitis (CRE) in rats. Methods : The antioxidant activity of AT-mix was measured through DPPH and ABTS radical scavenging activities in vitro. CRE was induced in SD rats (5 weeks, male) by ligating the border forestomach and granular portion with 2-0 silk and the duodenum near the pyloric portion was covered with 2-mm wide piece of 18-Fr Nélaton catheter. And then rats were treated AT-mix 200 mg/kg one daily for 14 days. The anti-oxidant and inflammatory protein levels were evaluated using western blotting. Results : Gross lesion of esophageal mucosa after AT-mix treatment showed a superior enhancement compared with that of CRE control rats. AT-mix treatment strongly reduced both DPPH and ABTS radical scavenging activities (DPPH, IC50 8.15±0.14 ㎍/mL; ABTS, IC50 24.69±0.03 ㎍/mL, repspectively). Levels of the NADPH oxidase subunit including NOX4 and p22phox increased in CRE control rats. Otherwise, AT-mix treatment significantly reduced. The activation of Nuclear factor-erythroid 2-related factor 2 (Nrf2) led to significantly the up-regulation of HO-1. The inhibition of IκBα phosphorylation led to NF-κB inactivation. Subsequently, NF-κB inactivation significantly induced the decrease of COX-2, iNOS, TNF-α, and IL-6 protein expressions. Conclusion : Taken together, these results suggest that AT-mix treatment can attenuate the esophageal mucosal ulcer though inhibiting NF-κB pathway and enhancing Nrf2/HO-1 pathway. Thus, the additional mechanism study about AT-mix would need for the development as a safe herbal therapy for CRE.
Journal of Korea Entertainment Industry Association
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v.15
no.7
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pp.33-43
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2021
The purpose of this study is to examine the transformation and characteristics of the Verse-Chorus form. The musical form of a musical song is a structural mechanism for expression to effectively convey the dramatic situation of the characters to the audience. This study identified four types of representative forms that can be used to explore the transformation with the verse-chorus form and examined their characteristics. First is the Verse-Chorus form which repeats the description of simple situations and characters in the early stage of the musical. Second is the Verse-Bridge-Verse form which is used to evoke the atmosphere and escape boredom through a slight transformation of the bridge while explaining a simple character. Third is the Verse-Prechorus-Chorus form, which sits just before the chorus, connects the verse and the chorus, and promotes the emotional rise of the characters by smoothing the drama and the harmonic progression. Lastly, this study examined the expanded Verse-BG dialogue-Chorus form used to represent the situation in which conflicts about the complex feelings of the characters and the decisions about them coexist. As such, musical songs use various types of verse-chorus forms. Through the formality and transformation of the verse-chorus, the logic of the music and the logic of the drama are balanced so that the development of the music and the drama does not enter the state of imbalance. Based on this study, further progressive research can take place on the correlation between musical form and dramatic structure, beyond the transformation of musical song form.
Due to the development of smartphone technology, as of 2020, 91.9% of people use the Internet[1] to frequently acquire information through websites and mobile apps. As the number of homepages in charge of providing information is increasing every year, the number of applications for web vulnerability diagnosis, which diagnoses the safety of homepages, is also increasing. In the existing web vulnerability check, the number of diagnostic personnel should increase in proportion to the number of homepages that need diagnosis because the diagnosticians manually test the homepages for vulnerabilities. In reality, however, there is a limit to securing a web vulnerability diagnosis manpower, and if the number of diagnosis manpower is increased, a lot of costs are incurred. To solve these problems, an automatic diagnosis tool is used to replace a part of the manual diagnosis. This paper explores a new method to expand the current automatic diagnosis range. In other words, automatic diagnosis possible items were derived by analyzing the impact of web vulnerability diagnosis items. Furthermore, automatic diagnosis identified possible items through comparative analysis of diagnosis results by performing manual and automatic diagnosis on the website in operation. In addition, it is possible to replace manual diagnosis for possible items, but not all vulnerability items, through the improvement of automatic diagnosis tools. This paper will explore some suggestions that can help improve plans to support and implement automatic diagnosis. Through this, it will be possible to contribute to the creation of a safe website operating environment by focusing on the parts that require precise diagnosis.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.16
no.6
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pp.229-239
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2021
This study examined the influence of ethical leadership on employee job satisfaction and the mediating role of employee engagement in the relationship between these two variables. In this study, employee engagement was divided into job engagement and organization engagement. Data were collected from 183 employees working for Korean companies. The results of this study are as follows. First, it was found that ethical leadership was positively related to both job engagement and organization engagement. Second, ethical leadership was also positively related to job satisfaction of employees. Third, job engagement and organization engagement were found to partially mediate the relationship between ethical leadership and job satisfaction respectively. The results of this study suggest a theoretical contribution in that it expanded existing studies on the relationship between ethical leadership and job satisfaction. This study is significant in that it revealed a mechanism that ethical leadership directly affects job satisfaction in the relationship between ethical leadership and job satisfaction, but indirectly positively affects employee engagement variables such as job engagement and organization engagement. The results of this study also suggest practical implications that CEOs should strive to help organizational managers demonstrate ethical leadership. In addition, the results of this study suggest practical implications that managers and human resource development experts need to seek ways to increase the level of engagement of employees in the organization. Finally, this study presented limitations to be revised and supplemented in future studies and future research directions.
Deep learning is used as a creative tool that could overcome the limitations of existing analysis models and generate various types of results such as text, image, and music. In this paper, we propose a method necessary to preprocess audio data using the Niko's MIDI Pack sound source file as a data set and to generate music using Bi-LSTM. Based on the generated root note, the hidden layers are composed of multi-layers to create a new note suitable for the musical composition, and an attention mechanism is applied to the output gate of the decoder to apply the weight of the factors that affect the data input from the encoder. Setting variables such as loss function and optimization method are applied as parameters for improving the LSTM model. The proposed model is a multi-channel Bi-LSTM with attention that applies notes pitch generated from separating treble clef and bass clef, length of notes, rests, length of rests, and chords to improve the efficiency and prediction of MIDI deep learning process. The results of the learning generate a sound that matches the development of music scale distinct from noise, and we are aiming to contribute to generating a harmonistic stable music.
K. C. Hwang;D. W. Ok;D. N. Kwon;H. K. Shin;Kim, J. H.
Proceedings of the KSAR Conference
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2001.03a
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pp.52-52
/
2001
Many nucleoside diphosphate (NDP) kinases are ubiquitous enzymes responsible for the exchange of ${\gamma}$-phosphates between tri- and diphosphonucleosides. The catalytic Many nucleoside diphosphate (NDP) kinases are ubiquitous enzymes responsible for the exchange of ${\gamma}$-phosphates between tri- and diphosphonucleosides. The catalytic reaction follows a ping-pong mechanism in which the enzyme is transiently phosphorylated on a histidine residue conserved in all nucleoside diphosphate kinases. Beside their role in nucleotide synthesis, these enzymes present additional functions, possibly independent of catalysis, in processes such as differentiation, cell growth, tumor progression, metastasis and development. To clone murine nm23-M5, several expressed sequence tags (ESTs) of the GenBank data base, selected according to their homology to nm23-H5 cDNA, reconstituted a complete open reading frame (GenBank AF222750). To test whether murine NDPKs (1, 2, 3, 4, 5, and 6) can inhibit Bax-mediated toxicity in yeast, co-transformation was performed respectively. The yeast S.cerevisiae was transformed with a copy expression plasmid containing the histidine selection marker and expressing murine Bax under the control of a galactose-inducible promoter. Several clones were selected and found to be growth inhibited when Bax expression was induced with galactose. A representative clone was transformed again with a copy expression plasmid containing the tryptophane selection marker and expressing either murine Bcl-xL or NDPK under the control of a galactose-inducible promoter. Several subclones of the double-transformants were selected and characterized. The ability of Bcl-xL and NDPKs to suppress Bax-mediated toxicity was determined by growing yeast cells overnight in galactose media and spot-testing on galactose plates starting with an equal number of yeast cells as determined by taking the OD$_{600}$. Ten-fold serial dilutions were used in the spot-test. Plates were grown at 3$0^{\circ}C$ for 2-3 days. All murine NDPKs suppressed Bax dependent apoptosis. Futher study will be peformed whether Bax-toxicity inhibition was caused by NDP kinase activity or additional function.n.
Seongsu Kim;Junho Bae;Juhyeon Lee;Heejoo Jung;Hee-Woong Kim
Journal of Intelligence and Information Systems
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v.29
no.3
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pp.419-437
/
2023
As the number of thin filers in Korea surpasses 12 million, there is a growing interest in enhancing the accuracy of assessing their credit default risk to generate additional revenue. Specifically, researchers are actively pursuing the development of default prediction models using machine learning and deep learning algorithms, in contrast to traditional statistical default prediction methods, which struggle to capture nonlinearity. Among these efforts, Graph Neural Network (GNN) architecture is noteworthy for predicting default in situations with limited data on thin filers. This is due to their ability to incorporate network information between borrowers alongside conventional credit-related data. However, prior research employing graph neural networks has faced limitations in effectively handling diverse categorical variables present in credit information. In this study, we introduce the Transformer embedded Graph Convolutional Network (TeGCN), which aims to address these limitations and enable effective default prediction for thin filers. TeGCN combines the TabTransformer, capable of extracting contextual information from categorical variables, with the Graph Convolutional Network, which captures network information between borrowers. Our TeGCN model surpasses the baseline model's performance across both the general borrower dataset and the thin filer dataset. Specially, our model performs outstanding results in thin filer default prediction. This study achieves high default prediction accuracy by a model structure tailored to characteristics of credit information containing numerous categorical variables, especially in the context of thin filers with limited data. Our study can contribute to resolving the financial exclusion issues faced by thin filers and facilitate additional revenue within the financial industry.
Journal of Korea Entertainment Industry Association
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v.13
no.2
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pp.253-259
/
2019
Prostate cancer(PrCa) is a leading cause of cancer-related death in man. Medicinal plants are exploited for many drugs to treat various ailments. The drugs derived from the plants promote health, augmented the resistance of the body against disease. Pueraia lobata(wild) Ohwi(P. Lobata), kudzu, which is a twining perennial woody herb native to China, Korea, Japan, India, and the United States. Plants such as Moringa oleifera, have hypoglycemic properties and other beneficial properties. The objective of the study was to analyze the effects of kadzu and moringa, natural plant products on antioxidant activity and proliferation of the hormone-sensitive prostate cancer LNCaP cells. MTT assay, flow cytometry analysis were employed to investigate the anticancer mechanism and DPPH assay was determined to the antioxidant activity to scavenge free radicals in extract of these. All two extracts showed significantly antioxidant activity at 10 and 50mg/ml of concentration. kadzu and moringa reduced LNCaP cell viability in a dose dependent manner. Specially moringa extract was more potent cytotoxic than kadzu extract. Statistical analyses revealed kadzu and moringa exhibited significantly higher (P < 0.05) cytotoxicity and antioxidant activity in LNCaP. The finding of this study provides a scientific basis for using kadzu and moringa in future development of chemotherapeutic drugs against hormone-sensitive prostate cancer.
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