• Title/Summary/Keyword: Diagnosis Function

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Eosinophil-derived neurotoxin: a novel biomarker for diagnosis and monitoring of asthma

  • Kim, Chang-Keun
    • Clinical and Experimental Pediatrics
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    • v.56 no.1
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    • pp.8-12
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    • 2013
  • Asthma is associated with increased levels of eosinophils in tissues, body fluids, and bone marrow. Elevated levels of eosinophil-derived neurotoxin (EDN) and eosinophil cationic protein (ECP) have been noted in asthma patients. Higher levels of EDN and ECP are also associated with exacerbated asthmatic conditions. Thus, EDN, along with ECP, may aid the diagnosis and monitoring of asthma. Several groups have suggested that EDN is more useful than ECP in evaluating disease severity. This may partially be because of the recoverability of EDN (not sticky, 100% recovery rate), as ECP is a sticky and more highly charged protein. In terms of clinical utility, EDN level is a more accurate biomarker than ECP when analyzing the underlying pathophysiology of asthma. As a monitoring tool, EDN has shown good results in children with asthma as well as other allergic diseases. In children too young to fully participate in lung function tests, EDN levels may be useful as an alter native measurement of eosinophilic inflammation. EDN can also be used in adult patients and in multiple specimen types (e.g., serum, sputum, bronchoalveolar lavage fluid, and nasal lavage fluid). These results are repeatable and reproducible. In conclusion, EDN may be a novel biomarker for the diagnosis, treatment, and monitoring of asthma/allergic disease.

The Discrimination Model for the Pattern Identification Diagnosis of Overweight Patients (비만의 변증 진단을 위한 판별모형)

  • Kang, Kyung-Won;Moon, Jin-Seok;Kang, Byung-Gab;Kim, Bo-Young;Kim, No-Soo;Yoo, Jong-Hyang;Shin, Mi-Sook;Choi, Sun-Mi
    • Korean Journal of Oriental Medicine
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    • v.14 no.2
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    • pp.41-46
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    • 2008
  • The study was to investigate the agreement rate between the statistical diagnosis of pattern identification by discriminant analysis and the clinical diagnosis of pattern identification by medical specialist in obese patients with BMI$\geqq$23. The agreement rate of deficiency of the spleen, phlegm-retention, deficiency of Yang, retention of undigested food, stagnation of liver Gi, and blood stagnation are 0.40, 0.33, 0.52, 0.76, 0.71, and 0.66, respectively and accuracy rate and prediction rate using linear discriminant function are 0.59 and 0.61, respectively. Therefore, the complementary management in CRF questionnaires and/or consultation from experts will improve the accuracy and prediction rate, which will be helpful for pattern identification of obesity by clinical experts.

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Diagnosis and treatment planning for removable partial denture: diagnostic cast analysis and abutment teeth selection (가철성 국소의치의 진단 및 치료계획: 진단모형 분석과 지대치 선정)

  • Son, Mee-Kyoung
    • Journal of Dental Rehabilitation and Applied Science
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    • v.30 no.1
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    • pp.45-52
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    • 2014
  • Diagnosis and treatment planning is initial step to fabricate removable partial denture, and one of most important factor influencing the prognosis. Partial edentulous patients have various condition of remaining teeth and oral mucosa. Therefore, for the proper diagnosis and treatment planning for each patient, getting many informations from patients during initial examination and fabricating accurate diagnostic cast are required. Especially, because the use of various diagnostic tools and surveying of diagnostic cast will be a guide for the abutment teeth selection, oral preparation and design of partial denture, dentist should understand and be able to apply this procedure during diagnosis.

A Study of Digital EPG Diagnosis Parameter for EPG Standardization (맥진 객관화를 위한 디지탈 맥진기의 진단 파라메터 연구)

  • Lee, J.Y.;Kim, J.H.;Seo, H.W.;Lee, J.W.;Lee, B.C.;Lee, M.H.
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.3243-3244
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    • 2000
  • From ancient times, the diagnosis method of the oriental medicine has been performed by curing diseases by means of rectifying and adjusting the unbalance in the physiological function of the five viscera and the six bowels of a human body. Diseases have been diagnosed by the condition of blood circulation that cycles a human body through blood vessels by dint of the vitality of the heart. Based on such a systematic pulse diagnosis method, the article presents parameters that will be beneficial to clinical application on the basis of its analysis of the filtering for eliminating noises from pulse signals inputted from sensor group, the digital hardware dealing with signals necessary for recognition algorithm, and the structure of diagnosis algorithm and components of pulse waveform.

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Diagnosis of a trouble existence and development of prediction method for electrical equipment inside a building (건축물 내 전기설비 이상 유무 진단 및 예측기법 개발)

  • Kim, Young-Dal;Kim, Hyo-Jin;Kim, Dae-Sik;Kim, Jae-Hoon;Han, Sang-Ok
    • Proceedings of the KIEE Conference
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    • 2005.07e
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    • pp.31-33
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    • 2005
  • The accelerating of industrial development causes electricity demand to increase. By that power equipments need high power, multi function and intelligence. Also consumers demand for guarantee power supplying of good quality and reasonable operating equipment. Also they require for reliance and stabilization of power facility. Therefore preventive maintenance of electric installation must be developed and improvement of domestic technical level is needed in the maintenance management of equipment. The diagnosis of trouble existence is technique that compares steady state with unusual condition, whereas the prediction technique makes a diagnosis of remaining equipments life. It is difficult for us to diagnose trouble existence of electric installation and to develop prediction method in building because of a wide scope for electric installation in building. And in this paper we will investigate diagnosis and prediction method for only switch part of electric installation in building.

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Dissolved Gas Analysis of Power Transformer Using Fuzzy Clustering and Radial Basis Function Neural Network

  • Lee, J.P.;Lee, D.J.;Kim, S.S.;Ji, P.S.;Lim, J.Y.
    • Journal of Electrical Engineering and Technology
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    • v.2 no.2
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    • pp.157-164
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    • 2007
  • Diagnosis techniques based on the dissolved gas analysis(DGA) have been developed to detect incipient faults in power transformers. Various methods exist based on DGA such as IEC, Roger, Dornenburg, and etc. However, these methods have been applied to different problems with different standards. Furthermore, it is difficult to achieve an accurate diagnosis by DGA without experienced experts. In order to resolve these drawbacks, this paper proposes a novel diagnosis method using fuzzy clustering and a radial basis neural network(RBFNN). In the neural network, fuzzy clustering is effective for selecting the efficient training data and reducing learning process time. After fuzzy clustering, the RBF neural network is developed to analyze and diagnose the state of the transformer. The proposed method measures the possibility and degree of aging as well as the faults occurred in the transformer. To demonstrate the validity of the proposed method, various experiments are performed and their results are presented.

A Study on the indoor Plan of chinese Medicine Hospital (한방병원 실내계획에 관한 연구)

  • 김정진;진용녀
    • Korean Institute of Interior Design Journal
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    • no.18
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    • pp.74-80
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    • 1999
  • Chinese medicine hospital enables the users to expect more efficient cure result in the psychological stability and the comfortable indoor environment by supplying the functional and aesthetic cure space with the medical action of good quality Medical activity is to treat the human life. Thus, hospital must be more human-centered-place than other space. Thus study is establishment of space to be able to lead more rational and active participation than the conservative and passive image of the department of diagnosis and treatment for outpatients is desirable. This study is the indoor schedule to suggest the direction about the department of diagnosis and treatment for outpatients of Chinese medicine hospital of native image with more comfortable and positive approach on the basis of above points at issues as the schedule to fulfill the performance of medical function and the emotional and psychological satisfaction of users as the human being-centered-medical institution on the subject of the department of diagnosis and treatment for outpatients in Chinese medicine hospital. And, this researcher progressed as follows by being premised on this 1. Description of Goai, Range and Method of Study and Suggestion of Study Direction 2. Concept introduction as the Basic Approach of Theory which is necessary for Study 3. The Problems were recognized by grasping the present condition in Korea through the questionaines 4. establishment of Concept and direction which are necessary for planning the indoor of the department of Diagnosis and Treatment for Chinese Medicine Hospital 5. Progression of Design Plan attendant upon Concept 6. Analysis of the Conents attendant upon this, and Conclusiov.

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Flame Diagnosis Using Neuro-Fuzzy Learning Algorithm (뉴로퍼지학습 알고리듬을 이용한 연소상태진단)

  • Lee, Tae-Yeong;Kim, Seong-Hwan;Lee, Sang-Ryong
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.26 no.4
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    • pp.587-595
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    • 2002
  • Recent trend changes a criterion for evaluation of humors that environmental problems are raised as a global issue. Burners with higher thermal efficiency and lower oxygen in the exhaust gas, evaluated better. To comply with environmental regulations, burners must satisfy the NO/sub x/ and CO regulation. Consequently, 'good burner'means one whose thermal efficiency is high under the constraint of NO/sub x/ and CO consistency. To make existing burner satisfy recent criterion, it is highly recommended to develop a feedback control scheme whose output is the consistency of NO/sub x/ and CO. This paper describes the development of a real time flame diagnosis technique that evaluate and diagnose the combustion states, such as consistency of components in exhaust gas, stability of flame in the quantitative sense. In this paper, it was proposed on the flame diagnosis technique of burner using Neuro-Fuzzy algorithm. This study focuses on the relation of the color of the flame and the state of combustion. Neuro-Fuzzy loaming algorithm is used in obtaining the fuzzy membership function and rules. Using the constructed inference algorithm, the amount of NO/sub x/ and CO of the combustion gas was successfully inferred.

On the Improvement of the Process by Analyzing Precision Diagnosis of Deteriorated Railroad Communication Facilities

  • Hwang, Sun Woo;Kim, Joo Uk;Park, Jeong Jun;Kim, Hyung Chul;Park, Jin Hyuk;Kim, Young Min;Lee, Gye Chool
    • International Journal of Internet, Broadcasting and Communication
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    • v.13 no.2
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    • pp.136-144
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    • 2021
  • Railroad Systems, which are national infrastructure industries, cause unexpected property and human damage if they fail to function while operating. Accordingly, railroad facilities supporting the railroad system are areas where high reliability and safety are required. However, it is time for systematic and scientific maintenance to be taken away from the traditional maintenance methods, as the nation's railroad facilities are now aging seriously. The purpose of this study was to secure the safety and reliability of the aging railroad communication facilities and to improve their performance. The research subjects were selected as a precision diagnosis process for railroad communication facilities, and improvement points were derived through detailed precision diagnosis process analysis. It is deemed that this study can contribute based on securing stability, improving reliability, and continuous improvement of railroad communication facilities should be conducted in the operation of the entire railroad system.

Fast ab/adduction Rate of Articulation Valves in Normal Adults (정상 성인의 조음밸브에 대한 내${\cdot}$외전 비율)

  • Park, Hee-Jun;Han, Ji-Yeon
    • Proceedings of the KSPS conference
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    • 2007.05a
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    • pp.149-151
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    • 2007
  • This study was designed to investigate fast ab/adduction rate of articulation valves in normal adults. The measurement of fast ab/aduction rate has traditionally been used for assessment, diagnosis and therapy in patients who suffered from dysarthria, functional articulation disorders or apraxia of speech. Fast ab/adduction rate shows the documented structural and physiological changes in the central nervous system and the peripheral components of oral and speech production mechanism. Fast ab/adduction rates were obtained from 20 normal subjects by producing the repetition of vocal function (/ihi/), tongue function (/t${\wedge}$/), velopharyngeal function (/m/), and labial function (/p${\wedge}$/). The Aerophone II was used for data recording. The results of finding as follows: average fast ab/adduction rates were vocal function(6.21cps), tongue function(7.42cps), velopharyngeal function(5.23cps), labial function (6.93cps). The results of this study are guidelines of normal diadochokinetic rates. In addition, they can indicate the severity of diseases and evaluation of treatment.

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