• 제목/요약/키워드: Neuro-2A

검색결과 489건 처리시간 0.03초

뇌 종양 및 뇌 혈관 질환에 의해 유발된 삼차신경통 환자의 임상 고찰 (Trigeminal Neuralgia which Caused by Brain Tumor or Cerebrovascular Disease)

  • 김찬;이효근;김성모
    • The Korean Journal of Pain
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    • 제9권2호
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    • pp.395-398
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    • 1996
  • A retrospective analysis of 175 patients who were suffering from trigeminal neuralgia was done. We found 21 cases (12.0%) of abnormal findings including brain tumors and cerebrovascular disease on brain MRI. All patients were transferred to department of neurosurgery for operation. Among them, 7 patients refused or gave up operation and received nerve blocks with pure alcohol. Their MRI findings were meningioma, arachnoid cyst, arteriovenous malformation, venous angioma, and frontal sinus cancer This study demonstrates that peripheral nerve block or trigeminal nerve block with pure alcohol would be possible in case of elderly patients, patients who have poor general condition, patients who refuse operation, and brain tumor or cerebrovascular disease which located in dangerous area to be operated.

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설비시스템을 위한 소속함수 폭의 자동동조를 사용한 뉴로퍼지 제어기 (A Neuro Fuzzy Controller Using Auto-tuning Width of Membership Function for Equipment Systems)

  • 이수흠;방근태
    • 한국조명전기설비학회지:조명전기설비
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    • 제11권2호
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    • pp.102-109
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    • 1997
  • 전력부하 설비시스템에 장치하는 퍼지제어기의 성능은 제어대상의 변화에 민감하여 제어대상이 바뀔때마다 퍼지 소속함수폭이나 제어규칙을 조정해야 한다. 본 논문은 퍼지제어기의 성능에 영향을 미치는 요소들을 종합적으로 고찰하여, 제어대상의 변화에 적응하여 최적의 퍼지 소속함수폭에 자동동조하는 다층 신경회로망을 사용한 성능이 개선된 뉴로퍼지제어기를 제안하여 구성하였다. 이것을 다양한 일차지연요소를 갖는 설비시스템의 시뮬fp에션을 하여 우수한 제어 특성을 확인하였다.

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적응 다항식 뉴로-퍼지 네트워크 구조에 관한 연구 (A Study on the Adaptive Polynomial Neuro-Fuzzy Networks Architecture)

  • 오성권;김동원
    • 대한전기학회논문지:시스템및제어부문D
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    • 제50권9호
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    • pp.430-438
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    • 2001
  • In this study, we introduce the adaptive Polynomial Neuro-Fuzzy Networks(PNFN) architecture generated from the fusion of fuzzy inference system and PNN algorithm. The PNFN dwells on the ideas of fuzzy rule-based computing and neural networks. Fuzzy inference system is applied in the 1st layer of PNFN and PNN algorithm is employed in the 2nd layer or higher. From these the multilayer structure of the PNFN is constructed. In order words, in the Fuzzy Inference System(FIS) used in the nodes of the 1st layer of PNFN, either the simplified or regression polynomial inference method is utilized. And as the premise part of the rules, both triangular and Gaussian like membership function are studied. In the 2nd layer or higher, PNN based on GMDH and regression polynomial is generated in a dynamic way, unlike in the case of the popular multilayer perceptron structure. That is, the PNN is an analytic technique for identifying nonlinear relationships between system's inputs and outputs and is a flexible network structure constructed through the successive generation of layers from nodes represented in partial descriptions of I/O relatio of data. The experiment part of the study involves representative time series such as Box-Jenkins gas furnace data used across various neurofuzzy systems and a comparative analysis is included as well.

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Real-Time Temporal Dynamics of Bicistronic Expression Mediated by Internal Ribosome Entry Site and 2A Cleaving Sequence

  • Lee, Soomin;Kim, Jeong-Ah;Kim, Hee-Dae;Chung, Sooyoung;Kim, Kyungjin;Choe, Han Kyoung
    • Molecules and Cells
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    • 제42권5호
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    • pp.418-425
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    • 2019
  • Multicistronic elements, such as the internal ribosome entry site (IRES) and 2A-like cleavage sequence, serve crucial roles in the eukaryotic ectopic expression of exogenous genes. For utilization of multicistronic elements, the cleavage efficiency and order of elements in multicistronic vectors have been investigated; however, the dynamics of multicistronic element-mediated expression remains unclear. Here, we investigated the dynamics of encephalomyocarditis virus (EMCV) IRES- and porcine teschovirus-1 2A (p2A)-mediated expression. By utilizing real-time fluorescent imaging at a minute-level resolution, we monitored the expression of fluorescent reporters bridged by either EMCV IRES or p2A in two independent cultured cell lines, HEK293 and Neuro2a. We observed significant correlations for the two fluorescent reporters in both multicistronic elements, with a higher correlation coefficient for p2A in HEK293 but similar coefficients for IRES-mediated expression and p2A-mediated expression in Neuro2a. We further analyzed the causal relationship of multicistronic elements by convergent cross mapping (CCM). CCM revealed that in all four conditions examined, the expression of the preceding gene causally affected the dynamics of the subsequent gene. As with the cross correlation, the predictive skill of p2A was higher than that of IRES in HEK293, while the predictive skills of the two multicistronic elements were indistinguishable in Neuro2a. To summarize, we report a significant temporal correlation in both EMCV IRES- and p2A-mediated expression based on the simple bicistronic vector and real-time fluorescent monitoring. The current system also provides a valuable platform to examine the dynamic aspects of expression mediated by diverse multicistronic elements under various physiological conditions.

PC12세포와 동물모델에서의 기억력 장애를 유도하는 산화적스트레스에 대한 취나물과 모과 복합추출물의 개선 효과 (Ameliorative Effect of Aster scaber Thunberg and Chaenoleles sinensis Koehne Complex Extracts Against Oxidative Stress-induced Memory Dysfunction in PC12 Cells and ICR Mice)

  • 박찬규;최수정;신동훈
    • 한국약용작물학회지
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    • 제27권6호
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    • pp.365-375
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    • 2019
  • Background: Oxidative stress plays an important role in neuro-degenerative disorders such as Alzheimer's disease. Oxidative stress is mediated by reactive oxygen species (ROS), which are implicated in the pathogenesis of numerous diseases, and account for the toxicity of a wide range of compounds. Methods and Results: In order to study the neuro-protective effect of the complex extracts of Aster scaber Thunberg (AS) and Chaenoleles sinensis Koehne (CSK) against hydrogen peroxide in PC12 cells, cell viability was evaluated by the MTT assay using tetrazole, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide and the intracellular ROS levels were determined the by 2',7'-dichlorofluorescein diacetate (DCF-DA) assay. In order to examine the anti-amnesic effects of the complex extracts of AS and CSK, behavioral tests were performed on male ICR mice. The ameliorating effect of the complex extracts against Aβ1-42-induced learning and memory impairment was analyzed by y-maze and passive avoidance tests. The AS and CSK extracts showed neuro-protective activity both in vitro and in vivo, and the neuro-protective effect of their 60 : 40 (AS : CSK) mixture was better than that of the other mixtures. Moreover, the complex extracts synergistically inhibited acetylcholinesterase activity and rapid peroxidation. Conclusions: A mixture of the AS and CSK extracts could be used to develop functional foods and serve as raw materials for the development of therapeutics against Alzheimer's disease.

뉴로퍼지시스템에 의한 반류분포 추정에 관한 연구 (A Study on Prediction of Wake Distribution by Neuro-Fuzzy System)

  • 신성철
    • 한국지능시스템학회논문지
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    • 제17권2호
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    • pp.154-159
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    • 2007
  • 프로펠러 회전면에서의 반류분포는 주로 모형시험에 의해서 규명되어 왔다. 이렇게 축적된 데이터베이스를 통해 선박의 기하학적 형상정보와 반류분포 사이의 입출력관계를 모델링할 수 있다면 선박 초기설계시 유사선종의 설계에 도움이 된다. 뉴로퍼지시스템은 예측, 분류, 진단 등의 매우 복잡한 문제를 해결하는 기법으로 다양한 공학분야에서 응용되고 있다. 본 연구에서는 이들 입출력 사이의 관계를 뉴로퍼지시스템으로 모델링하고 학습한 후 새로운 입력에 대한 출력값의 검토를 통해 그 유용성을 확인한다. 3차원 선미형상을 입력으로 하고 선체 모형시험으로 얻어진 프로펠러 회전면에서의 반류분포 값을 출력으로 사용하여 학습 및 추론을 해 보았다. 이를 통해 뉴로퍼지시스템을 초기 선박설계 단계에서 특히 선미형상을 결정할 때 유용한 것을 확인하였다.

Predicting Successful Defibrillation in Ventricular Fibrillation using Wave Analysis and Neuro-fuzzy

  • Shin Jae-Woo;Lee Hyun-Sook;Hwang Sung-Oh;Yoon Young-Ro
    • 대한의용생체공학회:의공학회지
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    • 제27권2호
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    • pp.47-52
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    • 2006
  • The purpose of this study was to predict successful defibrillation in ventricular fibrillation using parameters extracted by wave analysis method and neuro-fuzzy. Total 15 dogs were tested for predicting successful defibrillation. Feature parameters were extracted for return of spontaneous circulation (ROSC) and non-ROSC by wave analysis method, and these parameters are an irregularity factor, spectral moments, mean power of level-crossing spectrum, and mean of alpha-significant value. Additionally, two parameters by analyzing method of frequency were extracted into a mean of power spectrum and a mean frequency. Then extracted parameters were analyzed in which parameters result to have high performance of discriminating ROSC and non-ROSC by a statistical method of t-test. The average of sensitivity and specificity were 62.5% and 75.0%, respectively. The average of positive predictive factor and negative predictive factor were 61.2% and 75.8%, respectively.

The Effect of Acupuncture in Promoting Neurogenesis and Angiogenesis after Middle Cerebral Artery Occlusion in Rats

  • Lee, Hong Min;Nam, Sang Soo;Kim, Yong Suk
    • Journal of Acupuncture Research
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    • 제30권3호
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    • pp.1-13
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    • 2013
  • Objectives : This study was performed to choose more effective neuro-protective acupuncture point and to verify the effect of acupuncture in promoting neurogenesis and angiogenesis as a result of its neuro-vasculo-regenerative effect in middle cerebral artery occlusion model in rats. Methods : By TTc staining we chose the most effective acupuncture point with neuro-protection. We randomly divided into four groups: Such as (1) sham group(with sham-operation), (2) sham+acupuncture group(with sham-operation), (3) middle cerebral artery occlusion group, (4) MCAO+AT group. Acupuncture procedure was performed for four days. Total RNA was extracted using TRIzol reagent, according to the manufacturer's instructions, and was purified using an RNAeasy mini kit. Immuno-histochemistry was performed using primary antibody mouse anti-BrdU, NeuN, Dcx, and VEGF. Results : We found that $ST_{36}$ had the more neuroprotective effect than $LI_{11}$ and $SP_3$. The microarray analysis revealed that 54 genes were more expressed neurogenesis pathway in MCAO+AT group compared with MCAO group(fold changes greater than or equal to twofold change). 11 genes were more expressed angiogenesis pathway. And 7 genes were more expressed VEGF pathway. Immuno-histochemistry revealed that cell proliferation, cell migration and cell maturation were increased. Conclusions : This study demonstrated that acupuncture on $ST_{36}$ had neuro-protective and neuro-restorative effect in ischemic brain injuries. And its mechanism might be related to promote neurogenesis and angiogenesis. These results suggest that acupuncture have potential benefits for the treatment of ischemic stroke.

The Protective Effect of Paeoniae Radix Extract against 1-methyl-4-Phenylpyridium-induced Apoptosis on SK-N-MC Neuroblastoma Cells

  • Chae, Ki-Heon;Song, Yun-Kyung;Lim, Hyung-Ho
    • 대한한의학회지
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    • 제26권4호
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    • pp.74-86
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    • 2005
  • Background: There are increasing neuro-degenerative disorders with aging. Paeoniae Radix(PR) possesses various pharmacological effects such as sedative, analgesic, anti-inflammatory, anti-stress and neuro-protective actions. Also antiaging and anti-cancer effects of PR were reported. Our purpose was to investigate whether PR is useful on the treatment of Parkinson's disease, one of the neuro-degenerative disorders. Objective: We investigated whether Paeonia Radix possesses a protective effect against 1-methyl-4 phenylpyridine(MPP+)-induced cytotoxicity in neuronal cells. Methods: 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide(MTT) assay, flow cytometry, DNA fragmentation assay, reverse transcription-polymerase chain reaction(RT-PCR), and Western blotting were performed on SK-N-MC neuroblastoma cells. Results: Cells treated with MPP+ exhibited several apoptotic features, while cells pre-treated with Paeonia Radix prior to MPP+ exposure showed s decrease in the occurrence of apoptotic features. Conclusions: These results suggest that Paeonia Radix may exert a protective effect against MPP+-induced apoptosis in SK-N-MC neuroblastoma cells.

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An Adaptive Input Data Space Parting Solution to the Synthesis of N euro- Fuzzy Models

  • Nguyen, Sy Dzung;Ngo, Kieu Nhi
    • International Journal of Control, Automation, and Systems
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    • 제6권6호
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    • pp.928-938
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    • 2008
  • This study presents an approach for approximation an unknown function from a numerical data set based on the synthesis of a neuro-fuzzy model. An adaptive input data space parting method, which is used for building hyperbox-shaped clusters in the input data space, is proposed. Each data cluster is implemented here as a fuzzy set using a membership function MF with a hyperbox core that is constructed from a min vertex and a max vertex. The focus of interest in proposed approach is to increase degree of fit between characteristics of the given numerical data set and the established fuzzy sets used to approximate it. A new cutting procedure, named NCP, is proposed. The NCP is an adaptive cutting procedure using a pure function $\Psi$ and a penalty function $\tau$ for direction the input data space parting process. New algorithms named CSHL, HLM1 and HLM2 are presented. The first new algorithm, CSHL, built based on the cutting procedure NCP, is used to create hyperbox-shaped data clusters. The second and the third algorithm are used to establish adaptive neuro- fuzzy inference systems. A series of numerical experiments are performed to assess the efficiency of the proposed approach.