• 제목/요약/키워드: Li-gu

검색결과 392건 처리시간 0.025초

개 모낭충증에 있어서 약침과 기존 치료의 병용 : 증례 보고 (Injection-Acupuncture Combined by Conventional Treatment in Canine Demodicosis : Case Report)

  • 전형규;한지원;오현욱;이현화;박배근;박성준;조성환;김덕환
    • 한국임상수의학회지
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    • 제24권3호
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    • pp.432-436
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    • 2007
  • 개 모낭충증의 새로운 치료법을 확립하기 위하여 항생제의 약침과 일반 치료의 병행을 이용한 치료 효과를 조사하였다. 본 연구에서는 모낭충으로 진단된 개 3두를 이용하였다. Enrofloxacin의 약침을 폐수(BL13) 위중(BL40), 대추(GV14), 족삼리(ST36), 합곡(LI04), 곡지(LI11) 및 삼음교(SP06)의 혈위에 각각 5주간 실시하였다. 또한 일반 치료법인 invermectin과 0.05% amitraz 약욕을 5주간 추가로 실시하였다. 소양증, 찰과상, 홍반 및 탈모와 같은 임상증상은 약침과 일반치료에 의해서 치료 전에 비하여 현저하게 완화되었다. Case 1은 4주 후에 완치되었고, case 2는 5주 후에 증상이 약간 잔존하였으며, 그리고 case 3은 5주 후에 완치되었다. 혈중 백혈구 수는 치료와 더불어 모든 케이스에서 감소하는 경향을 보였으나, 호중구/림프구 비율은 일정한 경향을 나타내지 않았다. 5주째 병리조직 검사 소견상에서 case 1과 case 3은 뚜렷한 병리조직학적 변화가 관찰되지 않았으나, case 2는 경도의 변화가 관찰되었다. 결론적으로 개 모낭충에 이환된 본 환축들은 항생제 약침과 일반 치료법의 병행으로 양호한 치료반응을 나타낸 증례이었다.

수치지형도를 활용한 홍수지도 제작용 지형자료의 효과적인 구축방법 연구 (Efficient Construction Method of Topographic Data for Flood Mapping Using Digital Map)

  • 이근상;고덕구;김우구
    • 한국지리정보학회지
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    • 제7권1호
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    • pp.52-61
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    • 2004
  • 한국수자원공사에서는 홍수지도 제작을 위한 정밀 지형자료 구축을 위해 LiDAR 측량을 실시하고 있으며, 향후 전국에 대한 홍수지도 제작시 막대한 비용이 소요될 것으로 예상된다. 따라서 홍수지도 제작이 꼭 필요한 지역을 선정하기 위한 사전모의용 자료구축을 위해 NGIS 수치지형도를 활용하는 것이 바람직하며, 이를 위해서는 각 축척별 수치지형도의 표고오차 분석이 필요하다. 본 연구에서는 수치지형도의 DEM 오차를 평가하기 위해 LiDAR 측량을 수행하여 구축한 DEM과 비교하였다. 특히 수치지형도로부터 구축한 TIN으로부터 DEM을 생성하기 위해 수행하는 보간법의 종류에 따라 발생하는 오차특성을 분석하였다. 분석결과 1:1,000 수치지형도가 1:5,000 수치지형도에 비해 오차가 작게 나타났으며, linear 보간을 수행한 DEM이 quintic 보간을 수행한 DEM에 비해 작은 오차특성을 보였다. 특히 도시지역의 경우 완만한 경사로 구성되어 있기 때문에 해상도에 따른 DEM 오차의 변화는 매우 작은 것으로 평가되었다.

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다중시기 항공 LiDAR를 활용한 도시림 개체목 수고생장분석 (Analysis of the Individual Tree Growth for Urban Forest using Multi-temporal airborne LiDAR dataset)

  • 김성열;김휘문;송원경;최영은;최재용;문건수
    • 한국환경복원기술학회지
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    • 제22권5호
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    • pp.1-12
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    • 2019
  • It is important to measure the height of trees as an essential element for assessing the forest health in urban areas. Therefore, an automated method that can measure the height of individual tree as a three-dimensional forest information is needed in an extensive and dense forest. Since airborne LiDAR dataset is easy to analyze the tree height(z-coordinate) of forests, studies on individual tree height measurement could be performed as an assessment forest health. Especially in urban forests, that adversely affected by habitat fragmentation and isolation. So this study was analyzed to measure the height of individual trees for assessing the urban forests health, Furthermore to identify environmental factors that affect forest growth. The survey was conducted in the Mt. Bongseo located in Seobuk-gu. Cheonan-si(Middle Chungcheong Province). We segment the individual trees on coniferous by automatic method using the airborne LiDAR dataset of the two periods (year of 2016 and 2017) and to find out individual tree growth. Segmentation of individual trees was performed by using the watershed algorithm and the local maximum, and the tree growth was determined by the difference of the tree height according to the two periods. After we clarify the relationship between the environmental factors affecting the tree growth. The tree growth of Mt. Bongseo was about 20cm for a year, and it was analyzed to be lower than 23.9cm/year of the growth of the dominant species, Pinus rigida. This may have an adverse effect on the growth of isolated urban forests. It also determined different trees growth according to age, diameter and density class in the stock map, effective soil depth and drainage grade in the soil map. There was a statistically significant positive correlation between the distance to the road and the solar radiation as an environmental factor affecting the tree growth. Since there is less correlation, it is necessary to determine other influencing factors affecting tree growth in urban forests besides anthropogenic influences. This study is the first data for the analysis of segmentation and the growth of the individual tree, and it can be used as a scientific data of the urban forest health assessment and management.

Solid-State Fermentation for Production of Monacolin K on Soybean by Monascus ruber GM011

  • Jia, Xiao-Qin;Mo, Eun-Kyoung;Sun, Bai-Shen;Gu, Li-Juan;Fang, Zhe-Ming;Sung, Chang-Keun
    • Food Science and Biotechnology
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    • 제15권5호
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    • pp.814-816
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    • 2006
  • Monacolin K (MK) was produced on soybean using Monascus ruber GM011 by a two-stage-fermentation process. The optimal temperature was identified as $28^{\circ}C$. Higher yield was obtained by multiple-level-temperature cultivation than by single-level-temperature cultivation. The highest yield of total MK, 4.810 mg/g dry soybean product, was attained after 30 days of solid-state fermentation. No citrinin could be detected in the fermented soybean.

A New Ionic Liquid for a Redox Electrolyte of Dye-Sensitized Solar Cells

  • Kang, Man-Gu;Ryu, Kwang-Sun;Chang, Soon-Ho;Park, Nam-Gyu
    • ETRI Journal
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    • 제26권6호
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    • pp.647-652
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    • 2004
  • A new ionic liquid, 1-vinyl-3-heptylimidazolium iodide (VHpII), was synthesized and applied as a redox electrolyte for dye-sensitized solar cells. The chemical structure of the synthesized VHpII was confirmed using $^1H$ NMR. Thermogravimetric analysis showed that the VHpII was stable for thermal stress of up to $250^{\circ}C$. The energy conversion efficiencies of the VHpII-based dye-sensitized solar cells were investigated in terms of the effect of a lithium iodide addition. A solar cell containing the redox couple of VHpII and iodine showed a conversion efficiency of 2.63% under 1 sun light intensity at AM 1.5. Adding 0.4 M LiI results in a conversion efficiency of 3.63%, which was an improvement of about 40%. The increased conversion efficiency was ascribed to an increase in external quantum efficiency.

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도심지역 실감정사영상 제작을 위한 정밀 DSM 생성 방안 (The Study of the Plan regarding DSM Generation for Production of True-Orthophoto in Urban Areas)

  • 이현직;김홍섭;유강민;강인구
    • 한국측량학회:학술대회논문집
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    • 한국측량학회 2007년도 춘계학술발표회 논문집
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    • pp.103-106
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    • 2007
  • Recently, production and application of ortho image using high resolution image are increasing by acquired high quality data from development of photogrammetry and IT technology. Generally, An ortho image has some problems that cannot remove completely to relief displacement about cultural feature like building and overpass because of performance rectification using DEM. Therefore, in this study, I generated DSM each of four experiment cases for production of true ortho image which is removed relief displacement of building using digital photogrammetry technique and LiDAR data, presented the plan of DSM production that is appropriate to production true ortho image by analyzing an accuracy after manufacture an ortho image each of DSM.

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경사 도핑된 발광층을 갖는 유기발광다이오드의 전기광학적 특성 해석 (Numerical Simulations of Electric-Optical Characteristics for Organic Light Emitting Diode with Gradient-Doped Emitting Layer)

  • 이영구;오태식
    • 한국전기전자재료학회논문지
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    • 제23권8호
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    • pp.638-644
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    • 2010
  • We have carry out numerical simulation of the electric-optical characteristics of organic light emitting diodes with gradient-doped emitting layer which were reported to be effective in improving luminous efficiency and lifetime. In this paper, the basic structure is comprised of ITO/NPB/$Alq_3$:C545T[%]/$Alq_3$/LiF/Al, six devices by separating the emitting layer of $Alq_3$:C545T[%] were studied. As the result, the uniformly-doped devices exhibited superior luminous efficiency-current density characteristics over conventional undoped device. In the case of gradient-doped devices, electric-optical characteristics were improved similar to uniformed-doped devices, unusually the distribution of traped-charge density in the OLED devices was shown as the staircase.

Semi-analytical solution of horizontally composite curved I-beam with partial slip

  • Qin, Xu-xi;Liu, Han-bing;Wu, Chun-li;Gu, Zheng-wei
    • Steel and Composite Structures
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    • 제27권1호
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    • pp.1-12
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    • 2018
  • This paper presents a semi-analytical solution of simply supported horizontally composite curved I-beam by trigonometric series. The flexibility of the interlayer connectors between layers both in the tangential direction and in the radial direction is taken into account in the proposed formulation. The governing differential equations and the boundary conditions are established by applying the variational approach, which are solved by applying the Fourier series expansion method. The accuracy and efficiency of the proposed formulation are validated by comparing its results with both experimental results reported in the literature and FEM results.

왕호고(王好古)의 약물(藥物) 및 상한이론(傷寒理論)에 대한 연구(硏究) (A study about WangHaogu's medical stuffs and theory of Shanghan)

  • 조병일;김용진
    • 한국의사학회지
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    • 제20권1호
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    • pp.7-12
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    • 2007
  • Wang Hao Gu is a famous Chinese medical scientist of the 13 century. He studied the oldest classic in China, Huangjaenaekyung, and also studied Zhangzhongjing's medical documents. He was influenced by contemporary medical scientists Zhang Yuan Su and Li Dong Yuan, and came up with an original medical theory Yinzheng. Although he is of considerable importance in the history of medicine, not many studies on him were done in Korea although Korean medicine was influenced by Chinese medicine. This study focuses on the study of his insight on medical stuffs and theory of Shanghan.

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Deep Learning in Genomic and Medical Image Data Analysis: Challenges and Approaches

  • Yu, Ning;Yu, Zeng;Gu, Feng;Li, Tianrui;Tian, Xinmin;Pan, Yi
    • Journal of Information Processing Systems
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    • 제13권2호
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    • pp.204-214
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    • 2017
  • Artificial intelligence, especially deep learning technology, is penetrating the majority of research areas, including the field of bioinformatics. However, deep learning has some limitations, such as the complexity of parameter tuning, architecture design, and so forth. In this study, we analyze these issues and challenges in regards to its applications in bioinformatics, particularly genomic analysis and medical image analytics, and give the corresponding approaches and solutions. Although these solutions are mostly rule of thumb, they can effectively handle the issues connected to training learning machines. As such, we explore the tendency of deep learning technology by examining several directions, such as automation, scalability, individuality, mobility, integration, and intelligence warehousing.