• 제목/요약/키워드: Nari

검색결과 158건 처리시간 0.024초

울릉도 나리분지와 통구미지역의 경작지와 그 주변지역에 서식하는 지표배회성 무척추동물 군집 비교 (Characteristics of Ground-dwelling Invertebrate Communities at Nari Basin and Tonggumi Area in Ulleungdo Island)

  • 남형규;송영주;권순익;어진우;윤성수;권봉관;김명현
    • 환경생물
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    • 제36권1호
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    • pp.21-32
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    • 2018
  • 본 연구는 국가중요농업유산으로 지정된 울릉도 (울릉도 화산섬 밭 농업) 나리분지와 통구미지역의 지표배회성 무척추동물 군집의 특성을 확인하기 위해 수행되었다. 서식지 형태를 작물재배지역, 산림지역, 중간 경계지역으로 나누어 서식지 형태별로 지표배회성 무척추동물을 채집하였다. 채집은 함정 트랩을 이용하였고 채집된 지표배회성 무척추동물은 자기조직화지도를 이용하여 군집 특성을 규명하였다. 자기조직화지도를 통해 총 4개의 cluster로 나누었으며, cluster II에는 통구미지역에서 채집된 지표배회성 무척추동물 군집만이 속하는 특성을 확인할 수 있었다. 나리분지 (cluster I, III, IV)와 비교하여 통구미지역 (cluster II)은 울릉도에서 흔히 확인되는 산간지역 경작지를 밭으로 개간하여 이용하는 지역으로 울릉도에서 흔히 관찰되는 지형적 특성을 가지고 있다. 이러한 통구미지역은 평지의 형태를 가지는 나리분지 지역과는 달리 급경사의 특성을 나타내기 때문에 다른 군집특성이 나타난 것으로 판단된다. 본 연구결과는 국가중요농업유산으로 선정된 울릉도지역의 생물상에 대한 기초자료와 지표배회성 무척추동물 군집 특성에 관한 정보를 제공하여 농업 환경 보전 및 생물다양성 유지를 위해 활용될 것으로 기대된다.

해상안전을 위한 GNSS 기반 태풍경로 실시간 분석 (Global Navigation Satellite System(GNSS)-Based Near-Realtime Analysis of Typhoon Track for Maritime Safety)

  • 이재강;하지현
    • 한국지리정보학회지
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    • 제22권1호
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    • pp.93-102
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    • 2019
  • 본 연구는 GNSS 기반 태풍경로 관측 가능성을 분석하기 위해 2007년 11호 태풍인 NARI의 태풍경로와 시간변화에 따른 지역별 가강수량을 분석하였다. 가강수량은 제주에서 남해안까지 태풍경로상에 위치한 관측소가 태풍의 영향을 직접적으로 받은 기간과 전 후 일주일을 포함하여(2007년 9월 7일(DOY250)부터 9월 24일(DOY267)까지) 총 18일간의 자료를 이용하여 추정 하였다. 그 결과 가강수량의 변화 추세는 태풍의 경로 근처 관측소의 결과와 유사하였으며 태풍의 발달과 지상에 도달하는 시간변화에 따라 달라지는 것을 확인하였다. 처음 태풍이 강타한 JEJU 관측소에서 일일 최대 가강수량이 관측된지 몇 시간 후, 남해안에 다른 관측소에서 가강수량이 최대값으로 나타났으며 각 관측소에서 최대 가강수량을 기록한 시점이 태풍이 해당 관측소에 도달한 시점과 거의 일치 하였다. GNSS기반 가강수량 측정의 정확도를 분석하기 위해, 데이터는 라디오존데 기반 가강수량 데이터와 비교하였다. 그 결과, 평균 오차 0.0cm, RMSE 0.3cm로 GNSS 기반 가강수량 데이터가 정확하고 정밀하다는 것을 보여주었다. 따라서, 본 연구 결과는 GNSS를 기반으로한 가강수량 데이터를 시간변화에 따른 태풍경로 분석에 사용할 수 있다는 것을 보여주고 있다.

LC-MS-based metabolomic analysis of serum and livers from red ginseng-fed rats

  • Kim, Hyun-Jin;Cho, Chang-Won;Hwang, Jin-Taek;Son, Nari;Choi, Ji Hea;Shim, Gun-Sub;Han, Chan-Kyu
    • Journal of Ginseng Research
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    • 제37권3호
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    • pp.371-378
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    • 2013
  • Serum and liver metabolites in rats fed red ginseng (RG) were analyzed by ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry. The mass data were analyzed by partial least squares-discriminant analysis (PLS-DA) to discriminate between control and RG groups and identify metabolites contributing to this discrimination. The RG group was clearly separated from the control group on PLS-DA scores plot for serum samples, but not liver samples. The major metabolites contributing to the discrimination included lipid metabolites (lysophosphatidylcholine, acyl-carnitine, and sphingosine), isoleucine, nicotinamide, and corticosterone in the serum; the blood levels of all but isoleucine were reduced by RG administration. Not all metabolites were positively correlated with the health benefits of RG. However, the blood levels of lysophosphatidylcholine, which stimulate various diseases, and long-chain acylcarnitines and corticosterone, which activate the stress response, were reduced by RG, suggesting long-term RG might relieve stress and prevent physiological and biological problems.

한반도의 태풍 동반 강우의 통계적 모형 (Statistical Model for Typhoon-Induced Rainfall around Korean Peninsular)

  • 구혜윤;이승수;이영규
    • 한국방재학회 논문집
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    • 제8권5호
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    • pp.45-51
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    • 2008
  • 강풍과 강한 동반 강우로 인한 최근의 태풍 피해 증가로 인하여 태풍의 영향을 예측하고 분석하는 연구의 필요성이 증가하고 있다. 이에 따라 본 연구에서는 태풍에 동반되는 강우에 초점을 맞추어 태풍 동반 강우에 영향을 끼치는 두 가지의 요인을 선택한 후 태풍 이동 경로에 대한 기상관측지점의 상대각도를 이용하여 2가지의 태풍 동반 강우의 통계적 모형을 제안하였다. 또한 본 연구에서 제안한 통계적 모형의 유효성 증명 및 두 모형에의 적용에 대한 결과의 비교를 위하여 2007년에 우리나라에 영향을 끼친 태풍 나리에 의한 동반 강우의 통계적 예측을 수행하였으며, 그 결과 본 논문에서 제안하는 모형을 이용하여 어느 정도 태풍 동반 강우의 예측이 가능할 것으로 판단된다.

Reconsideration of Classical Antibiotic Lincomycin: Anti-inflammatory Effect in LPS-stimulated RAW 264.7 Cells

  • Yang, Eun-Jin;Lee, Nari;Hyun, Chang-Gu
    • 한국미생물·생명공학회지
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    • 제48권3호
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    • pp.366-372
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    • 2020
  • Since, side effects of antibiotics are frequently emphasized these days, their use is gradually diminishing, and alternative drugs are being developed. We have sought to reintroduce them as raw materials for human health as conventional 'weapons' that have been retired after their historical duties. In this study, we investigated the anti-inflammatory effects of lincomycin (LIN), on lipopolysaccharide (LPS)-stimulated RAW 264.7 cells. Our findings show that LIN potently inhibited production of LPS-induced proinflammatory mediators, such as nitric oxide (NO) and prostaglandin E2 (PGE2), without cytotoxicity. Consistent with these findings, LIN strongly decreased protein expression levels of inducible NO synthase (iNOS) and cyclooxygenase (COX-2). Furthermore, LIN reduced pro-inflammatory cytokines such as tumor necrosis factor (TNF)-α, interleukin (IL)-6, and IL-1β. To further elucidate the mechanisms of these inhibitory effects of LIN, we studied LPS-induced IκB-α degradation, and mitogen-activated protein kinase (MAPK) phosphorylation. LIN suppressed downregulation of inhibitory κB (IκB-α) degradation, and the phosphorylation of the c-Jun N-terminal kinase (JNK) pathway. Based on these results, we suggest that LIN may be considered a potential candidate as an anti-inflammatory cosmetic or a medicine for human health.

Machine Learning Approaches to Corn Yield Estimation Using Satellite Images and Climate Data: A Case of Iowa State

  • Kim, Nari;Lee, Yang-Won
    • 한국측량학회지
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    • 제34권4호
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    • pp.383-390
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    • 2016
  • Remote sensing data has been widely used in the estimation of crop yields by employing statistical methods such as regression model. Machine learning, which is an efficient empirical method for classification and prediction, is another approach to crop yield estimation. This paper described the corn yield estimation in Iowa State using four machine learning approaches such as SVM (Support Vector Machine), RF (Random Forest), ERT (Extremely Randomized Trees) and DL (Deep Learning). Also, comparisons of the validation statistics among them were presented. To examine the seasonal sensitivities of the corn yields, three period groups were set up: (1) MJJAS (May to September), (2) JA (July and August) and (3) OC (optimal combination of month). In overall, the DL method showed the highest accuracies in terms of the correlation coefficient for the three period groups. The accuracies were relatively favorable in the OC group, which indicates the optimal combination of month can be significant in statistical modeling of crop yields. The differences between our predictions and USDA (United States Department of Agriculture) statistics were about 6-8 %, which shows the machine learning approaches can be a viable option for crop yield modeling. In particular, the DL showed more stable results by overcoming the overfitting problem of generic machine learning methods.

Fabrication and Manipulation of Gold 1D Chain Assemblies Using Magnetically Controllable Gold Nanoparticles

  • Kim, Lily Nari;Kim, Eun-Geun;Kim, Junhoi;Choi, Sung-Eun;Park, Wook;Kwon, Sunghoon
    • Bulletin of the Korean Chemical Society
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    • 제33권11호
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    • pp.3735-3739
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    • 2012
  • We have developed magnetically controllable gold nanoparticles by synthesizing superparamagnetic $Fe_3O_4$ core/gold shell nanoparticles. The core/shell particles have the capability of forming gold 1D chains in the presence of an external magnetic field. Here we demonstrate dynamic and reversible self-assembly of the gold 1D chain structures in an aqueous solution without any templates or physical or chemical attachment. The spatial configuration of gold chains can be arbitrarily manipulated by controlling the direction of a magnetic field. This technique can provide arbitrary manipulation of gold 1D chains for fabrication purpose. To demonstrate this capability, we present a technique for immobilization of the gold particle chains on a glass substrate.

수소 가압형 기계적 합금화법으로 제조한 MgHx-Nb2O5 산화물 복합 재료의 수소화 특성 평가 (Evaluations of Hydrogen Properties of MgHx-Nb2O5 Oxide Composite by Hydrogen Induced Mechanical Alloying)

  • 이나리;이수선;홍태환
    • 한국수소및신에너지학회논문집
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    • 제23권5호
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    • pp.429-436
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    • 2012
  • Mg and Mg-based alloys are regarded as strong candidate hydrogen storage materials since their hydrogen capacity exceeds that of known metal hydrides. One of the approaches to improve kinetic is addition of metal oxide. In this paper, we tried to improve the hydrogenation properties of Mg-based hydrogen storage composites. The effect of transition metal oxides, such as $Nb_2O_5$ on the kinetics of the Magnesium hydrogen absorption kinetics was investigated. $MgH_x$-5wt.% $Nb_2O_5$ composites have been synthesized by hydrogen induced mechanical alloying. The powder fabricated was characterized by X-ray diffraction (XRD), Field Emission-Scanning Electron Microscopy (Fe-SEM), Energy Dispersive X-ray (EDX), BET and simultaneous Thermo Gravimetric Analysis / Differential Scanning Calorimetry (TG/DSC) analysis. The Absorption / desorption kinetics of $MgH_x$-5wt.% $Nb_2O_5$ (type I and II) are determined at 423, 473, 523, 573 and 623 K.

전탕 용기에 따른 보중익기탕과 육미지황탕 전탕액 비교 연구 (Compositional Differences of Bojungikgi-tang and Yukmijihwang-tang Decoctions Produced by the Extractors Made of Various Materials)

  • 김정훈;이나리;신현규;서창섭
    • 생약학회지
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    • 제45권3호
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    • pp.249-255
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    • 2014
  • This study compared Bojungikgi-tang (BIT) and Yukmijihwang-tang (YJT) decoctions produced using the extractors made of various materials, such as glass, earthenware, and stainless steel, for 60, 90, and 120 min. The extraction yield was measured and the amounts of marker compounds in decoctions were determined by quantitative analysis using high performance liquid chromatography. The extraction yields of BIT decoctions produced by three extractors were not significantly different, whereas the extraction yield of YJT produced using glass extractor was significantly higher than that of YJT produced using earthenware extractor after 90 min. The amounts of most marker compounds were highest in BIT decoctions produced using glass extractor. However, variations of the amounts of marker compounds were observed in YJT decoctions and the volatile compound was not easily vaporized in YJT decoction produced using earthenware extractor. This study suggests that the extractor made of various materials may affect the extraction efficiency and the contents of marker compounds, especially in the decoction produced using earthenware extractor, although the results were dependent on the characteristics of herbal formula.