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SPG 11 유전자 돌연변이를 보인 얇은 뇌량을 동반한 강직성 하지마비
장영희,백민재,김상윤 대한치매학회 2011 Dementia and Neurocognitive Disorders Vol.10 No.1
Hereditary spastic paraplegia (HSP) with thin corpus callosum (TCC) is an autosomal recessive form of complicated HSP mainly characterized by slowly progressive spastic paraparesis and mental deterioration beginning in the second decade of life. We report one HSP with TCC patient. MRI shows thin corpus callosum and abnormal signal in the region of the forceps minor. He had decreased bilateral thalamic metabolism on 18F-flurodeoxyglucose PET. The neuropsychological test profile showed global cognitive impairment. We identified mutation of Spastic Paraparesis Gene 11 (SPG11) gene, was mapped to chromosome 15q13-15.
장영희,이숙재,김혜실,김정화 한국유아교육학회 1999 유아교육연구 Vol.19 No.1
본 연구는 만 3, 4, 5세 유아의 인종에 대한 차이 인식, 선호도, 태도가 성, 연령, 거주지역에 따라 차이가 있는지를 분석하였다. 우리나라 만 3, 4. 5세 유아들 대부분은 흑인, 백인, 황인의 인종적 차이를 인식하였으며 인종간의 차이를 구분하는 주요 단서는 피부색과 머리모습이었다 유아의 인종적 차이 인식은 성, 연령, 거주지역에 따라 유의한 차이가 없었다. 또한 유아의 인종에 대한 선호도 및 태도를 조사한 결과 자신과 동일 인종인 황인을 가장 선호하였고 그 다음은 백인이었으며 흑인 선호도는 대단히 낮게 나타났다. This study examines the degree to which young Korean children's awareness of, attitudes about, and preferences for different races are related to their gender, age, and area of residence. An interview questionnaire, developed by this researcher, based and on Preschool Racial Attitudes Measures, and Color Meaning Test, was administered to 180 three, four, and five year old children. Most of the young children (92.8%) recognized physical differences among races and there were no significant differences in recognizing physical differences attributable to gender, age, or area of residence. The highest preferences and most positive attitudes were for Asians, then Caucasian, and the lowest preferences and most negative attitudes were expressed for Blacks.
동적 뉴런을 갖는 신경 회로망을 이용한 스카라 로봇의 실시간 제어 실현
장영희,이강두,김경년,한성현 한국공작기계학회 2001 한국공작기계학회 춘계학술대회논문집 Vol.2001 No.-
This paper presents a new approach to the design of neural control system using digital signal processors in order to improve the precision and robustness. Robotic manipulators have become increasingly important in the field of flexible automation. High speed and high-precision trajectory tracking are indispensable capabilities for their versatile application. The need to meet demanding control requirement in increasingly complex dynamical control systems under significant uncertainties, leads toward design of intelligent manipulation robots. The TMS320C31 is used in implementing real time neural control to provide an enhanced motion control for robotic manipulators. In this control scheme, the networks introduced are neural nets with dynamic neurons, whose dynamics are distributed over all the network nodes. The nets are trained by the distributed dynamic back propagation algorithm. The proposed neural network control scheme is simple in structure, fast in computation, and suitable for implementation of real-time control. Performance of the neural controller is illustrated by simulation and experimental results for a SCARA robot.