• 제목/요약/키워드: Potential source

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Protective effect of Capsosiphon fulvescens on oxidative stress-stimulated neurodegenerative dysfunction of PC12 cells and zebrafish larva models

  • Laxmi Sen Thakuri;Jung Eun Kim;Jin Yeong Choi;Dong Young Rhyu
    • Fisheries and Aquatic Sciences
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    • 제26권1호
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    • pp.24-34
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    • 2023
  • Reactive oxygen species (ROS) at high concentrations induce oxidative stress, an imbalanced redox state that is a prevalent cause of neurodegenerative disorders. This study aimed to investigate the protective effect of Capsosiphon fulvescens (CF) extract on oxidative stress-induced impairment of cognitive function in models of neurodegenerative diseases. CF was extracted with subcritical water and several solvents and H2O2 (0.25 mM) or aluminum chloride (AlCl3; 25 µM) as an inducer of ROS was treated in PC12 neuronal cells and zebrafish larvae. All statistical analyses were performed using one-way analysis of variance and Dunnett's test using GraphPad Prism. H2O2 and AlCl3 were found to significantly induce ROS production in PC12 neuronal cells and zebrafish larvae. In addition, they strongly affected intracellular Ca2+ levels, antioxidant enzyme activity, brain-derived neurotrophic factor (BDNF) and tropomyosin receptor kinase B (TrkB) signaling, acetylcholinesterase (AChE) activity, and hallmarks of Alzheimer's disease. However, treatment of H2O2-induced PC12 cells or AlCl3-induced zebrafish larvae with CF subcritical water extract at 90℃ and CF water extract effectively regulated excessive ROS production, intracellular Ca2+ levels, and mRNA expression of superoxide dismutase, glutathione peroxide, glycogen synthase kinase-3 beta, β-amyloid, tau, AChE, BDNF, and TrkB. Our study suggested that CF extracts can be a potential source of nutraceuticals that can improve the impairment of cognitive function and synaptic plasticity by regulating ROS generation in neurodegenerative diseases.

Comparative study on antioxidant activity of Gold 1, a new strain of Pyropia yezoensis

  • Jimin Hyun;Sang-Woon Lee;Hyeon Hak Jeong;Jae-Il Kim
    • Fisheries and Aquatic Sciences
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    • 제26권2호
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    • pp.158-168
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    • 2023
  • The global output of Pyropia yezoensis (dried seaweed or laver, also called 'Gim' in Korea) has been reduced over the half-decade due to the wide spread of red rot disease, a serious algal disease affecting P. yezoensis. Recently, Gold 1 (G1), which is a resistant strain of P. yezoensis to red rot disease, was developed and commercialized in South Korea, yet its physiological activity has not been investigated. In this study, a comparative study was performed on G1 and commercially available strain of P. yezoensis (CP) for their antioxidative activities. Aqueous extract of G1 showed more marked 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) radical scavenging activity compared to that of CP. In 293T cells, antioxidant activity against H2O2-induced reactive oxygen species (ROS) formation was only observed in G1 extract. In addition, G1 extract showed more potent inhibitory effect on H2O2-induced apoptotic cell death than CP extract, as examined by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay and fluorescence microscopy. Expression levels of various apoptosis-related genes, including B-cell lymphoma 2-associated X protein, p53, capase-3, and inflammatory cytokines, in H2O2-treated cells were significantly decreased by the treatment of G1. Taken together, the present study suggests that a new strain of red seaweed G1 can recover oxidative stress effectively by improving the imbalance of ROS generation and has a potential to be used a functional ingredient as an antioxidant source.

ChatGPT의 수학교육 활용 가능성 탐색: 분수 문제에 관한 학생의 산출물과 예비교사의 담화 사례를 중심으로 (Exploring the possibility of using ChatGPT in Mathematics Education: Focusing on Student Product and Pre-service Teachers' Discourse Related to Fraction Problems)

  • 손태권
    • 한국수학교육학회지시리즈C:초등수학교육
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    • 제26권2호
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    • pp.99-113
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    • 2023
  • 본 연구는 수학교육에서 ChatGPT의 활용 가능성을 탐색하기 위해 분수 문제에 대한 학생의 산출물과 예비교사와 학생과의 담화 자료를 사례로 선정하여 ChatGPT를 통해 분석하고 수학교육전문가의 분석 결과와 비교하였다. 학생 자료는 학생의 문제해결 전략과 수학적 사고를 분석했으며 예비교사 자료는 예비교사의 발문이 학생의 반응을 토대로 이루어지는지 그리고 발문이 수학적 사고를 이끌어내는지를 평가 기준으로 선정하고 ChatGPT에게 분석을 요청하였다. ChatGPT의 분석 결과, 학생 자료에 대한 분석 결과는 수학교육전문가의 분석 결과와 유사하게 나타났으며 예비교사 자료는 유사점과 차이점이 함께 나타났다. 이러한 결과를 바탕으로 수학교육에서 ChatGPT의 활용 가능성과 시사점을 도출하였다.

공동주택 지하저수조 내 침전된 부유성 고형물의 발생원인 및 제어방안 (Investigating the Causes and Control Measures for Precipitated Suspended Solids in the Underground Reservoir Tank in an Apartment)

  • 장준영;김주원;김기팔;신현상;임병란
    • 한국물환경학회지
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    • 제39권2호
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    • pp.153-161
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    • 2023
  • The reservoir tank in an apartment is crucial for maintaining the quality of drinking water after it has undergone treatment. Investigating the water quality and potential contaminants in the reservoir tank is essential to ensure the safety of the drinking water. This study examined the water quality and precipitated suspended solids that accumulate at the bottom of the reservoir tanks in four apartments located in Gyeonggi province. As a result of the water quality investigation, turbidity increased proportionally to the distance from the water treatment plant (WTP) to the household. Heavy metals were also detected in the reservoir tank inlet but not in the water supplied from the WTP. The precipitated suspended solids (SS) in the reservoir tank contain high levels of heavy metals and total organic carbon (TOC). The precipitated SS mainly consists of Al, Mn, and Fe, which are expected to be a combination with turbidity-inducing substances. The X-ray diffraction (XRD) analysis revealed the presence of γ-FeO(OH), MnO2, and β-Fe2O3 in the SS. Additionally, F-EEM analysis indicates that the dissolved organic matter in the SS is mainly derived from a natural water source and microorganism activities, including metal-oxidizing bacteria and biofilms that can absorb metal ions. Based on these findings, several countermeasures can be taken to prevent the inflow of SS into the household, including regularly cleaning the reservoir tank, replacing or cleaning old pipes in the water supply system, and implementing monitoring and filtering systems to manage the SS.

Initial Ignition Time and Calorific Value Enhancement of Briquette with Added Pine Resin

  • Gustan PARI;Lisna EFIYANTI;Saptadi DARMAWAN;Nur Adi SAPUTRA;Djeni HENDRA;Joseph ADAM;Alfred INKRIWANG;Rachman EFFENDI
    • Journal of the Korean Wood Science and Technology
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    • 제51권3호
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    • pp.207-221
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    • 2023
  • The increasing demand for clean energy requires considerable effort to find alternative energy sources, such as briquettes. This research aims to develop a charcoal briquette with added pine resin (API) that has excellent combustion speed and distinctive aroma. Briquettes are composed of charcoal, pine resin (concentration: 0%-30%), and starch (up to 7%). They are produced in several stages, including coconut shell pyrolysis in conventional combustion, to obtain charcoal for the briquette precursor. Briquette compaction is conducted by mixing and densifying the charcoal, pine resin, and starch using a hydraulic press for 3 min. The hydraulic press has a total surface area and diameter of 57.7 cm2 and 3.5 cm, respectively. The briquettes are dried at different temperatures, reaching 70℃ for 24 h. The study results show that the briquettes have a thickness and diameter of up to 2 and 3.5 cm, respectively; moisture of 2.18%-2.62%; ash of 11.61%-13.98%; volatile matter of 27.15%-51.74%; and fixed carbon content of 40.24%-59.46%. The compressive strength of the briquettes is 186-540 kg/cm2. Their calorific value is 5,338-6,120 kcal/kg, combusting at a high speed of 0.15-0.40 s. The methoxy naphthalene, phenol, benzopyrrole, and lauryl alcohol; ocimene, valencene, and cembrene are found in the API. The API briquette has several chemical compounds, such as musk ambrette, ocimene, sabinene, limonene, 1-(p-cumenyl) adamantane, butane, and propanal, which improve aroma, drug application, and fuel production. Accordingly, API briquettes have considerable potential as an alternative energy source and a health improvement product.

Phytochemical and Anti-Termite Efficiency Study of Guibourtia tessmanii (harms) J. Léonard (Kévazingo) Bark Extracts from Gabon

  • NKOGO, Ley-Fleury ELLA;BOPENGA, Christ Stone Arnaud BOPENGA;NGOHANG, Franck Estime;MENGOME, Line Edwige;ANGONE, Sophie ABOUGHE;ENGONGA, Prosper EDOU
    • Journal of the Korean Wood Science and Technology
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    • 제50권2호
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    • pp.113-125
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    • 2022
  • This study aimed to explore the biodiversity of chemical compounds found in the bark of Guibourtia tessmannii from Gabon, commonly called Kévazingo, and evaluate their anti-termite activity to determine their potential values as a source of development of anti-termite products that can be valued in the fields of fine chemicals and wood preservation. Extraction of G. tessmannii bark powders was carried out using the cold maceration method with trichloroethylene, acetone, ethanol, and water. Phytochemical screening made it possible to highlight groups of chemical families present in the extracts. Anti-termite activity was tested on the wild termites "Cubitermes sp" of the genus Isoptera. The yield of the extracts were 17.11% for the buttress and 13.42% for the height at 6 m. Phytochemical tests revealed that alkaloids, polyphenols, sterols, tannins, reducing compounds, flavonoids, saponins, and anthraquinones were present in the extracts. Results of anti-termite activity indicated that anti-termite activity varied with the different parts of the bark studied, extraction solvent, and concentration (50/50) and (25/75) of the extracts used. The extracts at 50/50 concentration showed a slightly better anti-termite activity compared to the 25/75 concentration. In addition, the buttress Kévazingo or buttress showed the strongest anti-termite activity for the aqueous extract with a survival rate of 0% after 2 days.

기후변화와 자연재난의 건강영향 (Health Impacts of Climate Change and Natural Disaster)

  • 김대선;이철우
    • 적정기술학회지
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    • 제5권2호
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    • pp.118-125
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    • 2019
  • 제 5차 IPCC보고서(2014)에 의하면, 지구온난화의 원인은 온실가스(GHG)에 기인하며 가장 중요한 화석연료의 연소에서 발생하는 CO2, NO2, 메탄 등이다. IPCC는 2099년까지 지구 온도가 3.7℃ 상승하고 해수면은 0.63 m 상승할 것으로 예측하였다. 기후변화는 SDGs의 매우 중요한 한 부분이며, 그중 지구온난화는 잠재적으로 인류 건강에 가장 큰 위협이며 여러 다양한 질병의 원인이다. 만약 현재의 가스 배출과 토지이용의 추세가 계속된다면 미래의 세대는 질병, 부상, 자연재난으로 인한 사망, 감염, 영양부족, 대기오염으로 인한 사망율 등 매우 심각한 상황에 직면하게 될 것이다. 이 글에서는 홍수, 가뭄, 열 스트레스. 대기오염, 물부족, 영양실조, 전염성질환, 매개질환 등 지구기후변화와 이와 관련된 자연재난과 인류 건강의 관계를 조명하여 보았다.

Factors Contributing to Recommendation Intention of Foreign Tourists in Times of Crisis: A Moderated Moderation Analysis

  • Ko-Woon Kim;Seung-Gee Hong
    • Journal of Korea Trade
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    • 제27권1호
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    • pp.42-59
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    • 2023
  • Purpose - As a leading source of foreign exchange and investment, tourism has grown in importance as a component of international trade. Accordingly, in recent decades much attention has been directed toward attracting foreign tourists and, in turn, positively affecting the recommendation intentions of foreign tourists. Despite such interests, there remains a dearth of empirical research on this issue. Moreover, prior research has focused primarily on the simple main effect of a certain factor on recommendation intentions. Therefore, the present study aims to (1) investigate the effect of overall satisfaction on the recommendation intentions of foreign tourists, and (2) examine the potential moderating effects of personal factors (i.e., age and destination image) on the association between overall satisfaction and recommendation intention. Design/methodology - Using a moderated moderation analysis of the data drawn from the 2018 International Visitor Survey conducted by the Korea Tourism Organization, this study proposes the three-way interaction effects of overall satisfaction, age, and destination image on recommendation intention. Findings - The findings of the study indicate that overall satisfaction is positively associated with recommendation intention and this relationship becomes stronger among younger tourists. The findings further indicate that the moderating effect of age on the relationship between overall satisfaction and recommendation intention depends on changes in the image of the destination. Specifically, the destination image exerts a positive moderating impact on the influence of age that moderates the overall satisfaction and recommendation intention relationship. Originality/value - Considering that the tourism economy has been severely affected by the current COVID-19 pandemic, this study contributes to a more accurate understanding of the factors affecting the recommendation intention, especially in times of crisis.

Systematic comparisons among OpenFAST, Charm3D-FAST simulations and DeepCWind model test for 5 MW OC4 semisubmersible offshore wind turbine

  • Jieyan Chen;Chungkuk Jin;Moo-Hyun Kim
    • Ocean Systems Engineering
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    • 제13권2호
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    • pp.173-193
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    • 2023
  • Reliable prediction of the motion of FOWT (floating offshore wind turbine) and associated mooring line tension is important in both design and operation/monitoring processes. In the present study, a 5MW OC4 semisubmersible wind turbine is numerically modeled, simulated, and analyzed by the open-source numerical tool, OpenFAST and in-house numerical tool, Charm3D-FAST. Another commercial-level program FASTv8-OrcaFlex is also introduced for comparison for selected cases. The three simulation programs solve the same turbine-floater-mooring coupled dynamics in time domain while there exist minor differences in the details of the program. Both the motions and mooring-line tensions are calculated and compared with the DeepCWind 1/50 scale model-testing results. The system identification between the numerical and physical models is checked through the static-offset test and free-decay test. Then the system motions and mooring tensions are systematically compared among the simulated results and measured values. Reasonably good agreements between the simulation and measurement are demonstrated for (i) white-noise random waves, (ii) typical random waves, and (iii) typical random waves with steady wind. Based on the comparison between numerical results and experimental data, the relative importance and role of the differences in the numerical methodologies of those three programs can be observed and interpreted. These comparative-study results may provide a certain confidence level and some insight of potential variability in motion and tension predictions for future FOWT designs and applications.

Spatio-temporal potential future drought prediction using machine learning for time series data forecast in Abomey-calavi (South of Benin)

  • Agossou, Amos;Kim, Do Yeon;Yang, Jeong-Seok
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2021년도 학술발표회
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    • pp.268-268
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    • 2021
  • Groundwater resource is mostly used in Abomey-calavi (southern region of Benin) as main source of water for domestic, industrial, and agricultural activities. Groundwater intake across the region is not perfectly controlled by a network due to the presence of many private boreholes and traditional wells used by the population. After some decades, this important resource is becoming more and more vulnerable and needs more attention. For a better groundwater management in the region of Abomey-calavi, the present study attempts to predict a future probable groundwater drought using Recurrent Neural Network (RNN) for future groundwater level prediction. The RNN model was created in python using jupyter library. Six years monthly groundwater level data was used for the model calibration, two years data for the model test and the model was finaly used to predict two years future groundwater level (years 2020 and 2021). GRI was calculated for 9 wells across the area from 2012 to 2021. The GRI value in dry season (by the end of March) showed groundwater drought for the first time during the study period in 2014 as severe and moderate; from 2015 to 2021 it shows only moderate drought. The rainy season in years 2020 and 2021 is relatively wet and near normal. GRI showed no drought in rainy season during the study period but an important diminution of groundwater level between 2012 and 2021. The Pearson's correlation coefficient calculated between GRI and rainfall from 2005 to 2020 (using only three wells with times series long period data) proved that the groundwater drought mostly observed in dry season is not mainly caused by rainfall scarcity (correlation values between -0.113 and -0.083), but this could be the consequence of an overexploitation of the resource which caused the important spatial and temporal diminution observed from 2012 to 2021.

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