• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.14 no.2
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• pp.198-206
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• 2001

Recurrent Bell's palsy is a very rare case and have been reported that shows the incidence to be approximately 10 per cent in the Bell's palsy patents. It is generally accepted that facial paralysis caused by compression of the facial nerve by tumor develops slowly and has an unremitting course, however, reported cases have described the rare association of recurrent facial paralysis and intracranial tumor, and the same recovery rate. Usual symptoms of Bell's palsy include subacute facial palsy, hyperacusis on the affected side, postauricular pain on the affected side, altered sensation of taste, and partial trigeminal distribution hypesthesias. Complete resolution of symptoms is usually seen in 2-3months in $75-85\%$ of cases, with $25-35\%$ showing varying degrees of residual effects. We report a case of 4th ipsilateral recurrent Bell's palsy in a 14-year-old women, which was occurred in every winters. We treated her with acupuncture, moxibustion, herbal medication, carbon and silver spike point, and used House-Brackmnn grading system(HBGS) and the Fisch Detailed Evaluation of Facial Symmetry(DEFS) to assess the degree of paralysis in each part of face.

• Archives of Hand and Microsurgery
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• v.23 no.4
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• pp.267-270
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• 2018

Recurrent motor branch entrapment syndrome is a compressive mononeuropathy of recurrent motor branch of median nerve. It is a rare condition as a cause of thenar muscle wasting and may have different pathogenesis. If such an anatomical variation is the cause, there is a possibility that thenar muscle atrophy remains if only the transcarpal ligament release is performed. We report a 25-year-old male patient with carpal tunnel syndrome with thenar muscle wasting 1 month ago.

• Childhood Kidney Diseases
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• v.9 no.1
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• pp.46-55
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• 2005

Purpose : Recurrent urinary tract Infection(UTI) in primary vesicoureteral reflux(VUR) may lead to serious renal scarring, a major cause of childhood hypertension and end-stage renal disease. To prevent recurrent UTI, low-dose long--term antibiotic prophylaxis has been recommended. However, recurrent UTI still develops during antibiotic prophylaxis, the efficacy of which is now being disputed. The emergence of resistant bacteria has also raised concerns. To evaluate the effect of antibiotic prophylaxis, we investigated recurrent UTI during prophylactic antibiotic use in children with primary VUR Materials : The incidence and risk factors of recurrent UTI were retrospectively evaluated in ninety-one children with primary VUR on trimethoprim- sulfamethoxazole(TMP/SMX) prophylafis during the year following their index febri]e UTI. Results : Recurrent UTI occurred in 31.9%(29/91) children and comprised 0.32 episodes/patient year. Febrile UTI was 0.26 episode/patient year and afebrile UTI was 0.07 episodes/patient year. The recurrent rate of UTI in male patients with phimosis was 37.2%(19/51), which was significantly higher than in males without phimosis 0%(0/5)(P=0.025). In the logistic regression analysis for recurrent UTI, renal scar was the significant risk factor for recurrent UTI [RR 3.8(95% CI 1.0-14.1) P=0.04]. For other well-known risk factors such as sex, age, degree of VUR, APN, and voiding dysfunction, the differences were not significant. Conclusion : TMP/SMX prophylaxis did not prevent recurrent UTI in children with primary VUR. Phimosis and renal scars were the risk factors for recurrent UTI but the grade of primary VUR was not. In VUR without phlmosis and renal scar, a randomized controlled study without antibiotic prophylaxis is required. (J Korean Soc Pediatr Nephrol 2005;9:46-55)

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.625-628
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• 1997

In this paper the new neural network and sliding mode suspension controller is proposed. That neural network is error self-recurrent neural network. For fast on-line learning, this paper use recursive least squares method. A new neural networks converges considerably faster than the backpropagation algorithm and has advantages of being less affected by the poor initial weights and learning rate. The controller for suspension systems is designed according to sliding mode technique based on new proposed neural network.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06c
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• pp.399-402
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• 2007

뇌 속 뉴런들의 네트워크는 근본적으로 recurrent neural networks(RNNs)의 형태를 지닌다. 이 논문에서는 반복되는 뉴런 반응 패턴들 사이의 관계를 네트워크에 저장함으로써 생물의 기억이 생성된다는 가정하에, 이를 표현할 수 있는 RNN 모델을 제안하였고, evolutionary algorithm을 통해 이러한 여러 쌍의 기억들이 저장된 네트워크가 존재할 수 있음을 보였다.

• Journal of the Korean Statistical Society
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• v.24 no.1
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• pp.19-29
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• 1995

In this paper, we investigate the asymptotic distributions of maximum queue length for M/G/1 and GI/M/1 systems which are positive recurrent. It is well knwon that for any positive recurrent queueing systems, the distributions of their maxima linearly normalized do not have non-degenerate limits. We show, however, that by concerning an array of queueing processes limiting behaviors of these maximum queue lengths can be established under certain conditions.

• Bulletin of the Korean Mathematical Society
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• v.50 no.6
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• pp.2089-2101
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• 2013

The aim of this paper is to introduce the notion of Lie recurrent structure Jacobi operator for real hypersurfaces in non-flat complex space forms and to study such real hypersurfaces. More precisely, the non-existence of such real hypersurfaces is proved.

• Journal of the Korean Mathematical Society
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• v.38 no.1
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• pp.25-35
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• 2001

In this paper we consider an age dependent branching process whose particles move according to a Markov process with continuous state space. The Markov process is assumed to the stationary with independent increments and positive recurrent. We find some sufficient conditions for he Markov motion process such that the empirical distribution of the positions converges to the limiting distribution of the motion process.

• 대한생식의학회:학술대회논문집
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• 2004.06a
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• pp.63-64
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• 2004

• Journal of information and communication convergence engineering
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• v.7 no.2
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• pp.125-130
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• 2009

A robust friction compensation scheme is proposed in this paper. The recurrent fuzzy neural network and friction parameter observer are developed with sliding mode based controller in order to obtain precise position tracking performance. For a servo system with incomplete identified friction parameters, a proposed control scheme provides a satisfactory result via some experiment.