• 제목/요약/키워드: standard of diagnosis

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아말감수복물 하방의 상아질에 나타나는 방사선불투과층에 관하여 (RADIOPAQUE ZONES IN THE DENTIN BENEATH AMALGAM RESTORATIONS)

  • 유영준
    • 치과방사선
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    • 제8권1호
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    • pp.23-27
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    • 1978
  • The purpose of the present investigation is to determine how frequently radiopaque zones are seen on standard intraoral films and to research some other things about radiopaque zones. This study obtained the following results: 1. According to the standard intraoral films of the charts that were kept at the Dept. of Oral Diagnosis in Seoul National University Hospital, radiopaque zones were found in the rate of 4.1% among 1150 cases of amalgam-restored teeth that were treated at least two years ago. 2. Out of teeth that possessed radiopaque zones, 38.3% had radiolucent area between amalgam restoration and radiopaque zone. 3. Out of teeth that possessed radiopaque zones, 36.2% had cement base between amalgam restoration and radiopaque zone. 4. Out of teeth that possessed radiopaque zones, no tooth had periapical radiolucency. 5. Radiopaque zones were found more frequently in the mandibular teeth than the maxillary teeth. 6. According to the result of direct x-ray taking of 50 teeth that were treated at least 2 years ago, 6% had radiopaque zone.

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혈청 Progesterone 측정을 위한 효소면역분석법 개발에 관한 연구 (Studies on Development of Microplate-EIA for the Determination of Serum Progesterone)

  • 김정우;이욱연
    • 한국가축번식학회지
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    • 제17권4호
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    • pp.347-356
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    • 1994
  • A simpled and sensitive microplate enzyme immunoassay(EIA) was developed for the determination of progesterone concentration in serum, based on progesterone monoclonal antibody as anti-progesterone, horseradish peroxidase(HRP) as enzyme-label and tetramethylbenzidine(TMB) as substrate. The assay has a sensitivity of 5 pg-120pg/well and intra- and inter-assay coefficients of variation for progesterone standard curve (1.0ng~10.0ng/ml) were ranged 2.5~9.9% and 1.7.8.0%, respectively, determination coefficient of the regressio equation of our standard curve(R2=0.990$\pm$0.007) were high, and this is the same level as that of commercial kit(Hormonost Bio-Lab, Germany, R2=0.98~0.99). The progesterone concentration of serum determined by both kits (Work & Bio-Lab) were significantly correlated (r=0.95, P<0.01) although a little higher value were resulted in our kit than that of commercial kit. It generally is these results indicated that the microplate-EIA can be cused for the determination of progesterone in serum, as well as, for the determination of the early pregnancy diagnosis.

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Ultrasonic Measurement of Tissue Motion for the Diagnosis of Disease

  • Beach Kirk W.
    • International Journal of Vascular Biomedical Engineering
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    • 제1권1호
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    • pp.3-12
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    • 2003
  • Ultrasonic pulsed Doppler velocimetry has become a standard international method of classifying carotid disease. Because the measured angle adjusted velocity increases as the Doppler angle increases, examinations should be performed at a convenient standard Doppler examination angle. An angle of 60 degrees is achievable throughout most examinations. Multiple Doppler viewing angles allow the acquisition of velocity vectors during the cardiac cycle, revealing the complex velocity patterns. Ultrasonic velocimetry (whether Doppler or time domain) is based on changes in the phase of the ultrasound echo. Other examinations can be done based on the echo phase. Slow motions of organs such as the brain can be used to monitor changes in edema. Measurements of tissue strain due to the pulsatile filling of the arterioles. This plethysmographic imaging method can display differences in tissue perfusion because of different tissue types and changes in autonomic activity.

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HDD (Hard Disk Drive) 결함 분포의 패턴 분류에 관한 연구 (A Study on a Pattern Classification of HDD (Hard Disk Drive) Defect Distribution)

  • 권현태;문운철;이승철
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 제36회 하계학술대회 논문집 D
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    • pp.2846-2848
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    • 2005
  • This paper proposes a pattern classification algorithm for the defect distribution of Hard Disk Drive (HDD). In the HDD productions, the defect pattern of defective HDD set is important information to diagnosis of defective HDD set. In this paper, 5 characteristics are determined for the classification to six standard defect pattern classes. A fuzzy inference system is proposed, the inputs of which are 5 characteristic values and the outputs are the possibilities that the input pattern is classified to the standard patterns. Classification result is the pattern with maximum possibility. The proposed algorithm is implemented with a PC system for defective HDD sets and shows its effectiveness.

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Hellman 치령(齒齡) IV A 정상교합자(正常咬合者)의 두부방사선규격사진(頭部放射線規格寫眞)에 의(依)한 Template의 응용(應用) (THE APPLICATION OF TEMPLATE CONSTRUCTED BY CEPHALOMETRIC ROENTGENOGRAMS IN HELLMAN DENTAL AGE FA WITH NORMAL OCCLUSION)

  • 민병진
    • 대한치과교정학회지
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    • 제9권1호
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    • pp.125-131
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    • 1979
  • The templates for male and female were constructed respectively by use of 36 male and 52 female cephalometric roentgenograms in Hellman Dental Age IV A with normal occlusion. The grids were drawn to show 1 standard deviation and 2 standard deviation on every reference point. 1. When the template is used for cephalometric analysis, w e can obtain comparatively accurate diagnosis even one or two refernces are distorted, because several references are used for analysis. 2. The method of using the template is simple enough to perform cephalometric analysis easily. 3. If the templates are constructed for every age and sex, we can predict the growth patterns of the patients in the period of growth.

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퍼지 추론을 이용한 HDD (Hard Disk Drive) 결함 분포의 패턴 분류 (A Pattern Classification of HDD (Hard Disk Drive) Defect Distribution Using Fuzzy Inference)

  • 문현철;권현태
    • 대한전기학회논문지:시스템및제어부문D
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    • 제54권6호
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    • pp.383-389
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    • 2005
  • This paper proposes a pattern classification algorithm for the defect distribution of Hard Disk Drive (HDD). In the HDD production, the defect pattern of defective HDD set is important information to diagnosis of defective HDD set. In this paper, 5 characteristics are determined for the classification to six standard defect pattern classes. A fuzzy inference system is proposed, the inputs of which are 5 characteristic values and the outputs are the possibilities that the input pattern is classified to standard patterns. Therefore, classification result is the pattern with maximum possibility. The proposed algorithm is implemented with the PC system for defective HDD sets and shows its effectiveness.

한국 성인 정상교합자의 두부 방사선 계측 (Roentgraphic Cephalometric Standard for Maxillofacial Normals with Ideal Occlusion in Korean Adults)

  • 진병로
    • Journal of Yeungnam Medical Science
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    • 제6권1호
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    • pp.141-149
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    • 1989
  • 저자는 악교정 술식에 있어서 증례분석 및 진단에 활용하고자 기왕에 악교정 수술을 위한 두부방사선 계측학적 분석법을 보고한 Burstone 등의 방법을 이용하여 21세 이상의 한국 성인 정상교합자중 남자 30명, 여자 29명, 합계 59명을 대상으로 연구하여 성인 남녀별 각 계측항목의 평균치, 표준편차를 산출하고, 남녀별 유의성 검정을 시행하였다.

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가와사끼병 급성기 치료의 최신 지견 (Update on treatment in acute stage of Kawasaki disease)

  • 한지환
    • Clinical and Experimental Pediatrics
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    • 제51권5호
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    • pp.457-461
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    • 2008
  • Kawasaki disease (KD) was first described by Dr. Tomisaku Kawasaki in his 1975 study, published in Pediatrics. Its pathogenesis is still not clearly understood. Early diagnosis and treatment are very important to preventing concomitant coronary artery complications. Most KD patients respond well to the standard treatment of aspirin and intravenous immunoglobulin; however, some of them are refractory to the standard treatment, and so adjuvant therapies with corticosteroids and anti-tumor necrosis $factor-{\alpha}$ ($TNF-{\alpha}$) antibody are necessary. In this article, the author reviews and summarizes the most recent literature on the treatment of refractory KD.

정규화 입력을 사용한 신경망 알고리즘에 의한 냉동기의 부분 고장 검출 (The Partial Fault Detection of an hir-Conditioning System by the Neural Network Algorithm using Normalized Input Data)

  • 한도영;황정욱
    • 설비공학논문집
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    • 제15권3호
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    • pp.159-165
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    • 2003
  • The fault detection and diagnosis technology may be applied in order to decrease the energy consumption and the maintenance cost of the air-conditioning system. To detect partial faults of the air-conditioning system, a neural network algorithm may be used. In this study, the neural network algorithm using normalized input data by the standard deviation was applied. And the [7$\times$10$\times$10$\times$1] neural network structure was selected. Test results showed that the neural network algorithm using normalized input data was very effective to detect the condenser fouling and the evaporator fan fault of an air-conditioning system.