• 제목/요약/키워드: standard of diagnosis

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소의 조기 임신진단 kit의 개발 II. 조기 임신진단 kit의 개발 (A study on production of early pregnancy diagnostic kit in cattle II. Production of early pregnancy diagnostic kit)

  • 강정부;이행종;최상용
    • 대한수의학회지
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    • 제31권2호
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    • pp.223-228
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    • 1991
  • Most progesterone enzyme immunoassays(EIA) are used liquid-phase double-antibody or single-antibody seperation. These methods consume considerable time and reagents because of the requirements for several washing and centrifugation steps involving the reactants. Because of these several problems, we were prompted to develop an effective enzyme-linked immunosorbent assay(ELISA) system that would be equal or superior to RIA for assay of progesterone. The results were obtained as follows. 1. Cross reaction of the progesterone antiserum with other steroids determined was shown with progesterone(100%), $11{\alpha}$-deoxycorti-costerone(2.271%), but the other steroids were shown below 0.9%. 2. Standard curve for progesterone ELISA was shown available difference according to progesterone concentration from 0 to 1,000pg/ml. 3. The lower limit of sensitivity was 0.2pg/well 4. Progesterone concentration was 1.6ng/ml for before parturition, and that was below 0.5ng/ml for after parturition. This development enzyme-linked immunosorbent assay for progesterone can be detected pregnancy diagnosis in cattle, and also applicable 10 research on physiological function including such as reproductive disorders.

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선박 엔진의 실린더 라이너의 손상 진단을 위한 신경회로망의 적용 (Application of Neural Network for Damage Diagnosis of Marine Engine Cylinder Liner)

  • 조연상;구현호;박준홍;박흥식
    • Tribology and Lubricants
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    • 제30권6호
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    • pp.356-363
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    • 2014
  • Marine diesel engines operate in environments in which damage easily occurs from corrosion. Recently, damage to cylinder liners has increased from corrosion wear caused by increased engine power. This damage can cause serious problems in the economy. Thus, many researchers have treated and studied damaged cylinder liners. However, a method is necessary for real-time monitoring of damage to cylinder liners during operation of the engine, before serious damage can occur. This study carries out reciprocating friction and wear tests on a cast iron specimen under various corrosion atmospheres and verifies the variations of friction coefficient and friction surface. Additionally, the friction coefficient and friction status are predicted by using a neural network that learns the vibration and frequency spectrum data from an acceleration sensor. According to our conclusions, amplitude is distributed highly at high frequencies, and values of standard deviation and kurtosis are high when damage to the friction surface is serious. The accuracy rate of the friction coefficient predicted by the neural network is over 80% of the real measured value without NaCl, and application of the neural network is very effective for diagnosing the friction condition and damage to the cylinder liner.

Real-time Detection of Trace Copper in Brain and Kidney of Fish for Medical Diagnosis

  • Yang, Young Kyun;Pack, Eun Chul;Lee, Seung Ha;Yoo, Hai-Soo;Choi, Dal Woong;Ly, Suw Young
    • Toxicological Research
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    • 제30권4호
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    • pp.311-316
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    • 2014
  • For the detection of trace copper to be used in medical diagnosis, a sensitive handmade carbon nanotube paste electrode (PE) was developed using voltammetry. Analytical optimized conditions were found at 0.05 V anodic peak current. In the same conditions, various common electrodes were compared using stripping voltammetry, and the PE was found to be more sharply sensitive than other common electrodes. At optimum conditions, the working ranges of $3{\sim}19{\mu}gL^{-1}$ were obtained. The relative standard deviation of $70.0{\mu}gL^{-1}$ was determined to be 0.117% (n = 15), and the detection limit (S/N) was found to be $0.6{\mu}gL^{-1}$ ($9.4{\times}10^{-9}M$). The results were applied in detecting copper traces in the kidney and the brain cells of fish.

알츠하이머병의 최신지견 (Recent Advances in Diagnosis and Treatment of Alzheimer's Disease)

  • 이정재;이석범
    • 생물정신의학
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    • 제23권2호
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    • pp.48-56
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    • 2016
  • Alzheimer's disease (AD) is a neurodegenerative disorder in which neuronal loss causes cognitive decline and other neuropsychiatric problems. It can be diagnosed based on history, examination, and appropriate objective assessments, using standard criteria such as the Diagnostic and Statistical Manual of Mental Disorders or the National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA). Brain imaging and biomarkers are making progress in the differential diagnoses among the different disorders. The cholinesterase inhibitors, donepezil, rivastigmine and galantamine and N-methyl-D-aspartate receptors antagonist memantine are approved by the US Food and Drug Administration for AD. Recently some acetylcholinesterase inhibitors gained approval for the treatment of severe AD and became available in a higher dose formulation or a patch formulation. Optimal care in AD is multifactorial and it should include early diagnosis and multidisciplinary care with pharmacological and nonpharmacological interventions including exercise interventions, cognitive interventions and maintenance of social networks.

그림진단을 위한 주제색 및 불균형 판단의 자동화 (Machine's Determination of Main Color and Imbalance in a Drawing for Art Psychotherapy)

  • 배준;김재민;김성인
    • 제어로봇시스템학회논문지
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    • 제12권2호
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    • pp.119-129
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    • 2006
  • Art psychotherapy is widely accepted as an effective tool for diagnosis and treatment of psychological disorders. Important factors for art psychotherapy diagnosis, based on the projection theory that the world of the inner mind appears in drawings, include main color and imbalance of a drawing. This paper develops a system for a machine to determine the main color and the imbalance of a drawing by color recognition and edge detection. Our proposed color recognition procedure adopts NBS(National Bureau of Standards) distance between colors in HVC(Hue, Value, Chroma) color space which is most similar to the human eye's color perception. Our edge detection procedure applies blurring, clustering and transformation to a standard color in a series. Our system considers the numbers of pixels and clusters for each color as a criterion for main color and the frequency of edge coordinates for each region for imbalance. The proposed machine procedure, verified through case studies, can help overcome the subjectivity, ambiguity and uncertainty in human decision involved in art psychotherapy.

Myofascial Pain Syndrome in Chronic Back Pain Patients

  • Chen, Chee Kean;Nizar, Abd Jalil
    • The Korean Journal of Pain
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    • 제24권2호
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    • pp.100-104
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    • 2011
  • Background: Myofascial pain syndrome (MPS) is a regional musculoskeletal pain disorder that is caused by myofascial trigger points. The objective of this study was to determine the prevalence of MPS among chronic back pain patients, as well as to identify risk factors and the outcome of this disorder. Methods: This was a prospective observational study involving 126 patients who attended the Pain Management Unit for chronic back pain between 1st January 2009 and 31st December 2009. Data examined included demographic features of patients, duration of back pain, muscle(s) involved, primary diagnosis, treatment modality and response to treatment. Results: The prevalence of MPS among chronic back pain patients was 63.5% (n = 80). Secondary MPS was more common than primary MPS, making up 81.3% of the total MPS. There was an association between female gender and risk of developing MPS ($x^2$ = 5.38, P = 0.02, O.R. = 2.4). Occupation, body mass index and duration of back pain were not significantly associated with MPS occurrence. Repeated measures analysis showed significant changes (P < 0.001) in Visual Analogue Score (VAS) and Modified Oswestry Disability Score (MODS) with standard management during three consecutive visits at six-month intervals. Conclusions: MPS prevalence among chronic back pain patients was significantly high, with female gender being a significant risk factor. With proper diagnosis and expert management, MPS has a favourable outcome.

비침습적 관절질환 진단을 위한 관절음의 시주파수 분석 (Time-frequency Analysis of Vibroarthrographic Signals for Non-invasive Diagnosis of Articular Pathology)

  • 김거식;송철규;서정환
    • 전기학회논문지
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    • 제57권4호
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    • pp.729-734
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    • 2008
  • Vibroarthrographic(VAG) signals, emitted by human knee joints, are non-stationary and multi-component in nature and time-frequency distributions(TFD) provide powerful means to analyze such signals. The objective of this paper is to classify VAG signals, generated during joint movement, into two groups(normal and patient group) using the characteristic parameters extracted by time-frequency transform, and to evaluate the classification accuracy. Noise within TFD was reduced by singular value decomposition and back-propagation neural network(BPNN) was used for classifying VAG signals. The characteristic parameters consist of the energy parameter, energy spread parameter, frequency parameter, frequency spread parameter by Wigner-Ville distribution and the amplitude of frequency distribution, the mean and the median frequency by fast Fourier transform. Totally 1408 segments(normal 1031, patient 377) were used for training and evaluating BPNN. As a result, the average value of the classification accuracy was 92.3(standard deviation ${\pm}0.9$)%. The proposed method was independent of clinical information, and showed good potential for non-invasive diagnosis and monitoring of joint disorders such as osteoarthritis and chondromalacia patella.

Improved Detection of Helicobacter pylori Infection and Premalignant Gastric Mucosa Using "Site Specific Biopsy": a Randomized Control Clinical Trial

  • Tongtawee, Taweesak;Dechsukhum, Chavaboon;Leeanansaksiri, Wilairat;Kaewpitoon, Soraya;Kaewpitoon, Natthawut;Loyd, Ryan A;Matrakool, Likit;Panpimanmas, Sukij
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권18호
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    • pp.8487-8490
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    • 2016
  • Background: Helicobacter pylori infection and premalignant gastric mucosa can be reliably identified using conventional narrow band imaging (C-NBI) gastroscopy. The aim of our study was to compare standard biopsy with site specific biopsy for diagnosis of H. pylori infection and premalignant gastric mucosa in daily clinical practice. Materials and Methods: Of a total of 500 patients who underwent gastroscopy for investigation of dyspeptic symptoms, 250 patients underwent site specific biopsy using C-NBI (Group 1) and 250 standard biopsy (Group 2). Sensitivity, specificity, and positive and negative predictive values were assessed. The efficacy of detecting H. pylori associated gastritis and premalignant gastric mucosa according to the updated Sydney classification was also compared. Results: In group 1 the sensitivity, specificity, positive and negative predictive values for predicting H. pylori positivity were 95.4%, 97.3%, 98.8% and 90.0% respectively, compared to 92.9%, 88.6%, 83.2% and 76.1% in group 2. Site specific biopsy was more effective than standard biopsy in terms of both H. pylori infection status and premalignant gastric mucosa detection (P<0.01). Conclusions: Site specific biopsy using C-NBI can improve detection of H. pylori infection and premalignant gastric mucosa in daily clinical practice.

A study on the traceability and uncertainty of skin hydration measurement on the sole of the foot

  • Yang, Gi-Young;Choi, Ji-Won;Chae, Han;Lee, Byung-Ryul
    • 대한한의학회지
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    • 제38권4호
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    • pp.55-61
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    • 2017
  • Objectives: In order to accurately measure skin moisture and accumulate normal skin moisture data, analyzing the uncertainty of the skin moisture measurement and establishing standard reference data is essential. It helps to evaluate the skin's condition and has great significance in diagnosis and treatment. In this study, the traceability of the equipment and the uncertainty of the results were analyzed for their potential use in the field of Korean medicine. The data was collected measuring skin moisture on the sole of the foot. Methods: One professional measured the moisture of the adult male's foot 10 times following a determined protocol. The standard uncertainty of repeated measurements was calculated from the mean value of 10 repeated measurements. Ten trainee participants also measured the adult male's foot following a determined protocol. The standard uncertainty by tester was calculated from the value of repeated measurements. Results: As a result of analyzing the difference between the mean and standard uncertainties in both the expert and trainees, it was confirmed that the variance in this study did not satisfy the normal distribution. In addition, the Mann-Whitney U-test was carried out, and it was found that there was no significant difference in the measured values of the two groups. The authorized uncertainty of measurements and traceability of all the equipment was not confirmed. Conclusions: This paper establishes the basis for later measurement-equipment research to provide the objective indicators to approach the dryness of plantar skin from dehydration, the Korean medicine perspective.

표준 요 시료 중 Oxalate의 측정을 위한 FT-NIR 분광기의 유용성 검정 (Evaluation of Fourier Transform Near-infrared Spectrometer for Determination of Oxalate in Standard Urinary Solution)

  • 김영은;홍수형;김정완;이종영
    • Journal of Preventive Medicine and Public Health
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    • 제39권2호
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    • pp.165-170
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    • 2006
  • Objectives : The determination of oxalate in urine is required for the diagnosis and treatment of primary hyperoxaluria, idiopathic stone disease and various intestinal diseases. We examined the possibility of using Fourier transform near-infrared (FT-NIR) spectroscopy analysis to quantitate urinary oxalate. The practical advantages of this method include ease of the sample preparation and operation technique, the absence of sample pre-treatments, rapid determination and noninvasiveness. Methods : The range of oxalate concentration in standard urine solutions was $0-221mg/{\ell}$. These 80 different samples were scanned in the region of 780-1,300 nm with a 0.5 nm data interval by a Spectrum One NTS FT-NIR spectrometer. PCR, PLSR and MLR regression models were used to calculate and evaluate the calibration equation. Results : The PCR and PLSR calibration models were obtained from the spectral data and they are exactly same. The standard error of estimation (SEE) and the % variance were $10.34mg/{\ell}$ and 97.86%, respectively. After full cross validation of this model, the standard error of estimation was $5,287mg/{\ell}$, which was much smaller than that of the pre-validation. Furthermore, the MCC (multiple correlation coefficient) was 0.998, which was compatible with the 0.923 or 0.999 obtained from the previous enzymatic methods. Conclusions : These results showed that FT-NIR spectroscopy can be used for rapid determination of the concentration of oxalate in human urine samples.