• Title/Summary/Keyword: 질의 생성

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Inactivation of Pathogenic Escherichia coli Using Crude Extract of Immunized Silkworm (면역유도누에 추출물을 이용한 병원성 대장균의 불활성화)

  • Park, Jong Woo;Jeong, Chan Young;Lee, Chang Hoon;Kang, Sang Kuk;Ju, Wan-Taek;Kim, Seong-Wan;Kim, Nam-Suk;Kim, Kee Young
    • Journal of Life Science
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    • v.31 no.8
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    • pp.755-760
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    • 2021
  • Swine diarrhea is a livestock disease that causes huge economic losses to pig farms. In general, diarrhea occurs because of the proliferation of pathogenic Escherichia coli (E. coli). The toxins produced by the proliferated E. coli cause edema in pigs. Although the proliferation of these coliforms can be prevented by using a vaccine, the vaccines containing chemically produced dead bacteria are not very effective, making it difficult to control the proliferation of E. coli. Therefore, there is a need to develop new, more effective vaccines. In this study, we prepared killed F4+ and F18ab+ E. coli, which induce diarrhea and edema in pigs, using the extracts of immune-induced silkworms containing antimicrobial peptides and examined their availability as a killed-bacteria vaccine. First, the antimicrobial activity analysis of the prepared immune-induced silkworm extract was conducted using the radial diffusion assay. The results showed high activity against both F4+ and F18ab+ E. coli. The production efficiency of E. coli dead cells was determined using the colony-counting method. The concentration of the E. coli dead cells was the highest (50 mg/ml) when treated at 4℃. In addition, the analysis of the prepared dead cells using a transmission electron microscope confirmed that E. coli leaked out of the cytoplasm and the cell membrane remained intact. Therefore, F4+ and F18ab+ E. coli produced using immune-induced silkworms extract are considered to be highly available as bacterial ghost vaccines that can help prevent swine diarrhea and the resulting edema.

The Effect of Low Molecule Collagen Peptide on Skin Anti-glycation and Collagen Synthesis as a Skin Aging Therapy (피부 노화 치료로서 저분자콜라겐펩타이드의 피부 항당화와 콜라겐 합성 효과)

  • Kim, Hong Seok;Hong, Won Kyu;Lee, Mun Hoe;Kim, Hyeong Min;Chung, Hee Chul;Lee, Jin Hee
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.47 no.2
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    • pp.147-153
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    • 2021
  • Collagen hydrolysate (CH) is known to prevent skin aging by stimulating skin dermal fibroblasts to promote synthesis of extracellular matrix such as collagen and elastin. Recently, among the various factors that cause skin aging, advanced glycation end products (AGEs) have received particular attention. However, the effect of CH on AGE accumulation has not been studied. Since CH could affect AGE accumulation by promoting production of skin structural proteins, clinical trial was performed using low molecule collagen peptide (LMCP), which were CH containing 25% tripeptide and 4% Gly-Pro-Hyp. Skin autofluorescence (SAF) values were measured using an AGE reader to evaluate accumulation of AGE in skin. As a result of applying 0.5% and 1.0% LMCP solutions to the subject's forearm for 8 weeks, the SAF value at the test site significantly decreased compared to the control site. Additionally, in vitro test was performed using CCD-986sk to evaluate the promotion of collagen synthesis in skin fibroblasts by LMCP. As a result, 800 ㎍/mL of LMCP significantly increased synthesis of human pro-collagen Iα1 (COL1A1) in CCD-986sk. Through this study, we have confirmed that tropical LMCP applications can promote collagen synthesis to help anti-glycation effects, suggesting that LMCP has potential as an anti-aging cosmetic material.

Anti-inflammatory effect of soil blue-green algae Nostoc commune isolated from Daejeon National Cemetery (국립대전현충원에서 분리한 남조류 구슬말(Nostoc commune)의 항염증 효과)

  • Hong, Hyehyun;Bae, Eun Hee;Park, Tae-Jin;Kang, Min-Sung;Kang, Jae Shin;Chi, Won-Jae;Kim, Seung-Young
    • Journal of Applied Biological Chemistry
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    • v.65 no.2
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    • pp.113-120
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    • 2022
  • We examined the anti-inflammatory properties of Nostoc commune HCW0811 in lipopolysaccharide-stimulated RAW264.7 macrophage cells. The anti-inflammatory activity of HCW0811 on viability of treated cells was assessed by measuring the level of expression of NO, prostaglandin E2 and pro-inflammatory cytokines, namely interleukin-1β, interleukin-6, and tumor necrosis factor-α in HCW0811 treated RAW 264.7 macrophages. HCW0811 was non-toxic to cells and inhibited the production of cytokines in a concentration-dependent manner. In addition its treatment suppressed the production of pro-inflammatory cytokines in a dose-dependent manner, and concomitantly decreased the protein expressions of inducible NO synthase and cyclooxygenase-2. Moreover, the levels of the phosphorylation of mitogen-activated protein kinase family proteins such as extracellular signal-regulated kinase, c-Jun N-terminal kinase, p38, and nuclear factor kappa B were reduced by HCW0811. These findings suggest that the HCW0811 collected from Daejeon National Cemetery have anti-inflammatory effects, and demonstrated its efficacy in cell-based in vitro assays.

Spatial Gap-filling of GK-2A/AMI Hourly AOD Products Using Meteorological Data and Machine Learning (기상모델자료와 기계학습을 이용한 GK-2A/AMI Hourly AOD 산출물의 결측화소 복원)

  • Youn, Youjeong;Kang, Jonggu;Kim, Geunah;Park, Ganghyun;Choi, Soyeon;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.38 no.5_3
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    • pp.953-966
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    • 2022
  • Since aerosols adversely affect human health, such as deteriorating air quality, quantitative observation of the distribution and characteristics of aerosols is essential. Recently, satellite-based Aerosol Optical Depth (AOD) data is used in various studies as periodic and quantitative information acquisition means on the global scale, but optical sensor-based satellite AOD images are missing in some areas with cloud conditions. In this study, we produced gap-free GeoKompsat 2A (GK-2A) Advanced Meteorological Imager (AMI) AOD hourly images after generating a Random Forest based gap-filling model using grid meteorological and geographic elements as input variables. The accuracy of the model is Mean Bias Error (MBE) of -0.002 and Root Mean Square Error (RMSE) of 0.145, which is higher than the target accuracy of the original data and considering that the target object is an atmospheric variable with Correlation Coefficient (CC) of 0.714, it is a model with sufficient explanatory power. The high temporal resolution of geostationary satellites is suitable for diurnal variation observation and is an important model for other research such as input for atmospheric correction, estimation of ground PM, analysis of small fires or pollutants.

Detection of Wildfire Smoke Plumes Using GEMS Images and Machine Learning (GEMS 영상과 기계학습을 이용한 산불 연기 탐지)

  • Jeong, Yemin;Kim, Seoyeon;Kim, Seung-Yeon;Yu, Jeong-Ah;Lee, Dong-Won;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.38 no.5_3
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    • pp.967-977
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    • 2022
  • The occurrence and intensity of wildfires are increasing with climate change. Emissions from forest fire smoke are recognized as one of the major causes affecting air quality and the greenhouse effect. The use of satellite product and machine learning is essential for detection of forest fire smoke. Until now, research on forest fire smoke detection has had difficulties due to difficulties in cloud identification and vague standards of boundaries. The purpose of this study is to detect forest fire smoke using Level 1 and Level 2 data of Geostationary Environment Monitoring Spectrometer (GEMS), a Korean environmental satellite sensor, and machine learning. In March 2022, the forest fire in Gangwon-do was selected as a case. Smoke pixel classification modeling was performed by producing wildfire smoke label images and inputting GEMS Level 1 and Level 2 data to the random forest model. In the trained model, the importance of input variables is Aerosol Optical Depth (AOD), 380 nm and 340 nm radiance difference, Ultra-Violet Aerosol Index (UVAI), Visible Aerosol Index (VisAI), Single Scattering Albedo (SSA), formaldehyde (HCHO), nitrogen dioxide (NO2), 380 nm radiance, and 340 nm radiance were shown in that order. In addition, in the estimation of the forest fire smoke probability (0 ≤ p ≤ 1) for 2,704 pixels, Mean Bias Error (MBE) is -0.002, Mean Absolute Error (MAE) is 0.026, Root Mean Square Error (RMSE) is 0.087, and Correlation Coefficient (CC) showed an accuracy of 0.981.

Effect of Removal of Power Plant Emissions on the characteristics of Ozone Concentration Changes in Summer (화력발전소 배출량 제거에 따른 여름철 O3 농도의 변화 특성)

  • Kim, Dongjin;Jeon, Wonbae;Park, Jaehyeong;Mun, Jeonghyeok
    • Journal of the Korean earth science society
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    • v.42 no.2
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    • pp.149-163
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    • 2021
  • In this study, the changes in ozone (O3) concentrations due to the removal of power plant emissions were analyzed using a community multi-scale air quality (CMAQ) model. Two different CMAQ model simulations, one considering the emissions from the Hadong power plant and one without considering the emissions, were conducted to investigate the effect of the emissions on the changes in the O3 concentrations in the surrounding areas. Subsequently, the CMAQ simulations exhibited an increase in the O3 concentration (25.24%) despite a decrease in the NOx (-18.87%) and volatile organic carbon (VOC, -11.27%) concentrations, which are major O3 precursors. The changes in the NO and O3 concentrations due to the removal of power plant emissions presented a strong negative correlation (r= -0.72). This indicated that the increase in the O3 concentration was mainly attributed to the significantly decreased NO concentration, thus, mitigating the O3 titration reaction (NO+O3→NO2+O2). Additionally, due to the VOC-limited (i.e., NOx-saturated) conditions in the study region, NO affected the O3 concentration, indicating that the O3 concentrations in a particular region are not only proportional to the increase or decrease in emissions. Therefore, an in-depth understanding of the chemical O3 production and loss in a particular region is necessary to accurately evaluate the effect of emission control on the changes in the O3 concentration.

Bone Health and L-ascorbic acid in Postmenopausal Women (폐경 여성의 골 건강과 L-ascorbic acid)

  • Kim, Bokyung;Kim, Mihyang
    • Journal of Life Science
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    • v.31 no.12
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    • pp.1142-1148
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    • 2021
  • As the average human lifespan has been extended, there has been a lot of interest in the quality of life of women after menopause. It is known that the average age of menopause among Korean women is 49.7 years, and the post-menopausal life of a woman takes up more than one third of her life. L-ascorbic acid (AsA) is known to be involved in the synthesis and maturation of collagen, a bone constituent protein. The aim of this review is to discuss the potential of AsA in bone health in postmenopausal women. AsA plays an important role in collagen biosynthesis, and collagen is a protein constituting bone and is a necessary material for calcification of the bone matrix. Collagen crosslinking is necessary for the stabilization and elasticity of collagen fibers during growth and matruation of animals, but an excessive increase is likely to lead to further aging because the movement of intercellular nutrients or waste is suppressed. AsA acts as a reducing agent to stabilize the immature collagen crosslinking and suppress pyridinoline production, a mature crosslinking. Therefore, AsA participates in collagen biosynthesis and helps bone tissue health, while regulating the excessive maturation of collagen crosslinking, it is expected to play an important role in bone-related problems that may occur in postmenopausal women.

Analysis of Cold Air Flow Characteristics according to Urban Spatial Types to Construct a Wind Road - Focused on Urban Area of Changwon - (바람길 조성을 위한 도시공간유형별 찬공기 유동 특성 분석 - 창원시 도시지역을 중심으로 -)

  • LEE, Su-Ah;SONG, Bong-Geun;PARK, Kyung-Hun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.25 no.2
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    • pp.30-47
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    • 2022
  • This study analyzed the characteristics of cold air flow according to spatial types in urban areas of Changwon-si, Gyeongsangnam-do. The spatial types were classified by cluster analysis considering the land use map, building information, and topographic characteristics produced on the Changwon biotope map. The amount of cold air and wind speed were derived by KLAM_21 modeling. As a result, spatial types were classified into a total of 14 types considering the density and height of buildings, land use types, and topographic characteristics. Cold air flow was found to generate cold air in the valley of the forest area outside urban area, move through roads and open spaces, and accumulate in the low-lying national industrial complex, and then spread cold air throughout the urban areas. There was a lot of cold air flow in the tall building area, and the cold air accumulation was less in the slope and ridge areas. The results of this study were able to understand the characteristics of cold air flow according to building density, land use type, and topography, which will be usefully used as basic data for urban wind road construction to mitigate climate and improve air quality in urban areas.

Characteristics of Bamboo Vinegars Obtained from Three Types of Carbonization Kiln (3종류의 탄화로에서 얻어진 죽초액의 특성)

  • Ku, Chang-Sub;Mun, Sung-Phil;Park, Sang-Bum;Kwon, Su-Duk
    • Journal of the Korean Wood Science and Technology
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    • v.30 no.4
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    • pp.87-95
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    • 2002
  • Three different species of green and air-dried Korean bamboos were carbonized by using three different types of kilns designated as special (800~1000℃), improved (600~700℃) and simple kiln (400~500℃), and the bamboo vinegars obtained from the carbonization processes were characterized. In the case of the special kiln, most of the bamboo vinegars obtained at the first recovery stage showed high values of specific gravity and also in content of organic acid and water-soluble tar. The bamboo vinegars obtained from the improved kiln showed various physical properties depending on their species. In the case of simple kiln, the bamboo vinegars obtained from air-dried bamboos and at temperatures below 80℃, showed a higher specific gravity and more water-soluble tar as well as total organic components than those obtained at 80~150℃. A good linear relationship (correlation coefficient of ca. 0.90) was obtained between the specific gravities and the sum of organic acids and water-soluble tars. Therefore, this correlation coefficient might be a good index to determine the quality of bamboo vinegars. The major chemical constituents of the bamboo vinegars were acetic acid and considerable amounts of phenols: guaiacol, ethyl guaiacol, syringol, and methyl syringol.

Reduction of ammonia conversion from urea by adding acetohydroxamic acid (Acetohydroxamic acid 이용한 Urea로부터 암모니아 발생 저감 연구)

  • Yun, Gwang Su;Oh, Ha Eun;Jung, Min Woong;Hwang, Okhwa;Yun, Yeo-Myeong
    • Journal of the Korea Organic Resources Recycling Association
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    • v.29 no.4
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    • pp.5-13
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    • 2021
  • Ammonia, primarily originating from urinary urea of the livestock manure, is known to play as a major precursor of fine particulate matter (PM2.5) generation which leads to a decrease in air quality and to harmful effects on public health. The objective of this study was to evaluate the effect of acetohydroxamic acid (AHA) addition on inhibition of ammonia conversion from urea. The experiment was performed at different urea concentration (500-4,000 mg Urea-N/L), AHA concentration (0-4,000 mg AHA/L), pHs (pH 6-10), and temperature (10-35℃). The result showed that the urease inhibition efficiency increased at higher concentration of AHA. However, the specific urease inhibition activity decreased at higher pH, showing 867.1±6.7 Unit/g AHA at pH 6 and 1,167.9±17.4 Unit/g AHA at pH 10, respectively. Decreased urease inhibition efficiency at both AHA and control was observed at higher temperature. This finding indicates that AHA can be used as the urease inhibitor for reducing ammonia emission in the management of livestock manure.