• Journal of Korean Neurosurgical Society
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• v.51 no.6
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• pp.380-382
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• 2012

Bacterial meningitis is rarely complicated by an intradural spinal abscess, and recurrent meningitis is an uncommon presentation of a spinal intramedullary abscess. Here, we report a 63-year-old patient with recurrent meningitis as the first manifestation of an underlying spinal intramedullary abscess. To the best of our knowledge, no previous report has been issued on recurrent meningitis accompanied by a spinal intramedullary abscess in an adult. In this article, the pathophysiological mechanism of this uncommon entity is discussed and the relevant literature reviewed.

• Journal of Astronomy and Space Sciences
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• v.20 no.2
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• pp.101-108
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• 2003

This study reports one approach for the classification of magnetic storms into recurrent patterns. A storm event is defined as a local minimum of Dst index. The analysis of Dst index for the period of year 1957 through year 2000 has demonstrated that a large portion of the storm events can be classified into a set of recurrent patterns. In our approach, the classification is performed by seeking a categorization that minimizes thermodynamic free energy which is defined as the sum of classification errors and entropy. The error is calculated as the squared sum of the value differences between events. The classification depends on the noise parameter T that represents the strength of the intrinsic error in the observation and classification process. The classification results would be applicable in space weather forecasting.

• Journal of Labour Economics
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• v.23 no.1
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• pp.1-25
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• 2000

This paper investigates why is the unemployment outflow rate into employment so high and why do the precarious workers have short unemployment spell after the economic crisis. Using the matched panel data of the Economically Active Population Survey. This paper points out that, in spite of the fact that most spells of unemployment are quite short, a very substantial portion of the unemployed experiences multiple unemployment spells over a period of time. Also recurrent unemployment leads to very long total durations of unemployment. This evidence implies recurrent unemployment is as important as long-term unemployment under the poor social safety net system.

• Journal of Institute of Control, Robotics and Systems
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• v.5 no.8
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• pp.932-940
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• 1999

In this paper, a new neural networks and neural network based sliding mode controller are proposed. The new neural networks are an mor self-recurrent neural networks which use a recursive least squares method for the fast on-line leammg. The error self-recurrent neural networks converge considerably last than the back-prollagation algorithm and have advantage oi bemg less affected by the poor initial weights and learning rate. The controller for suspension system is designed according to sliding mode technique based on new proposed neural networks. In order to adapt shding mode control mnethod, each frame dstance hetween ground and vehcle body is estimated md controller is designed according to estimated neural model. The neural networks based sliding mode controller approves good peiformance throllgh computer sirnulations.

• Tuberculosis and Respiratory Diseases
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• v.71 no.4
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• pp.282-285
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• 2011

Common variable immune deficiency (CVID) is the most common primary immune deficiency, which is manifested as chronic recurrent respiratory infections and hypoglobulinemia. CVID usually presents in the second or third decade of life. A 33-year-old woman was admitted with recurrent pneumococcal pneumonia with bacteremia and had very low levels of serum immunoglobulin G, M and A. This case emphasized a high index of suspiciousness for diagnosis of CVID in a mid-adulthood patient presenting with recurrent pneumonia with hypoglobulinemia.

• Journal of information and communication convergence engineering
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• v.8 no.3
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• pp.267-272
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• 2010

For the last decade, recurrent neural networks (RNNs) have been commonly applied to communications channel equalization. The major problems of gradient-based learning techniques, employed to train recurrent neural networks are slow convergence rates and long training sequences. In high-speed communications system, short training symbols and fast convergence speed are essentially required. In this paper, the derivative-free Kalman filter, so called the unscented Kalman filter (UKF), for training a fully connected RNN is presented in a state-space formulation of the system. The main features of the proposed recurrent neural equalizer are fast convergence speed and good performance using relatively short training symbols without the derivative computation. Through experiments of nonlinear channel equalization, the performance of the RNN with a derivative-free Kalman filter is evaluated.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.51 no.1
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• pp.39-42
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• 2002

For the purpose of modeling EEG signal which has nonstationary and nonlinear dynamic characteristics, this paper propose a state feedback real time recurrent neural network model. The state feedback real time recurrent neural network is structured to have memory structure in the state of hidden layers so that it has arbitrary dynamics and ability to deal with time-varying input through its own temporal operation. For the model test, Mackey-Glass time series is used as a nonlinear dynamic system and the model is applied to the prediction of three types of EEG, alpha wave, beta wave and epileptic EEG. Experimental results show that the performance of the proposed model is better than that of other neural network models which are compared in this paper in some view points of the converging speed in learning stage and normalized mean square error for the test data set.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.10 no.2
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• pp.202-205
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• 2007

Abdominal epilepsy is an uncommon disorder and a rare cause of recurrent abdominal pain of children. Diagnostic criteria of this disorder include otherwise unexplained, paroxysmal gastrointestinal complaints, symptoms of a central nerve system disturbance, an abnormal electroencephalogram with a finding specific for a seizure disorder, and improvement with anticonvulsant medication. We present a case of a 6-year-old boy with abdominal epilepsy presenting with recurrent, paroxysmal abdominal pain for 4 years. This patient had definite electroencephalogram abnormalities and a striking response to administration of an anticonvulsant.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.10
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• pp.149-157
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• 1994

A method of applying a recurrent backpropagation network to identifying or modelling a dynamic system is proposed. After the recurrent backpropagation network having both the characteristicsof interpolative network and associative network is applied to XOR problem, a new model of recurrent backpropagation network is proposed and compared with the original recurrent backpropagation network by applying them to XOR problem. based on the observation thata function can be approximated with polynomials to arbitrary accuracy, the new model is developed so that it may generate higher-order terms in the internal states Moreover, it is shown that the new network is succesfully applied to recognizing noisy patterns of numbers.

• Archives of Craniofacial Surgery
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• v.20 no.6
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• pp.416-420
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• 2019

Reconstruction method choice in recurrent head and neck cancer depends on surgical history, radiation therapy dosage, conditions of recipient vessels, and general patient condition. Furthermore, when defects are multiple or three dimensional in nature, reconstruction and flap choice aimed at rebuilding the functional structure of the head and neck are difficult. We experienced successful reconstruction of recurrent laryngeal cancer requiring reconstruction of esophageal and tracheostomy stroma defects using a chimeric two-skin anterolateral thigh flap with a single pedicle.