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성기문,유덕선,최병선,허래경,장명준,이인영,송봉근,Seong, Kee-Moon,Yu, Deok-Seon,Choi, Byoung-Sun,Heo, Rae-Kyong,Jang, Myung-Jun,Lee, In-Yung,Song, Bong-Keun 대한한의학방제학회 2010 大韓韓醫學方劑學會誌 Vol.18 No.2
Objective : Mitochondrial myopathy, encephalopathy, lactic acidosis, and stroke like episodes (MELAS) syndrome is a progressive neurodegenerative disorder. The typical presentation of patients with MELAS syndrome includes features such as mitochondrial encephalomyopathy, lactic acidosis, and stroke like episodes. Other features, such as seizures, diabetes mellitus, hearing loss, cardiac disease, short stature, endocrinopathies, exercise intolerance, and neuropsychiatric dysfunction are clearly part of the disorder. Approximately 80% of patients with the clinical characteristics of MELAS syndrome have a genetic mutation. This progressive disorder is reported to have a high morbidity and mortality. This case report is intended to estimate clinical effects of oriental meedicinal treatment of MELAS syndrome. Methods : A 44 year old female patient diagnosed as MELSA syndrome was treated with general oriental medicinal therapy including acupuncture, moxibustion, cupping, pharmacupunture and herbal medication in 20XX in Wonkwang Medical Center Gwangju. And the changes in symptoms and signs were evaluated as time dependently. Results : Although there is currently no curable treatment and MEALS syndrome is tend to progress, our treatment showed improvement in general weakness, gait disturbance and pain in the patient. Conclusion : Our case report suggests that various oriental medicinal treatment could be effective for improvement of MELAS syndrome and may represent a new potential therapeutic approach to control the disease. It could be applied to improve general condition, prevent relapse, enhance the quality of life and reduce complaints in the patient.
A COMPARISON OF THE FPE, THE AIC AND THE CAT PROCEDURES IN TIME SERIES ANALYSIS
Choi, Byoung Seon 延世大學校 産業經營硏究所 1984 산업과경영 Vol.6 No.1
The problem of selecting optimal orders of stationary autoregressive moving-average processes was solved indirectly by means of testing statistical hypotheses sequentially. The principal shortcomings of the multiple decision approaches are the difficulty of specifying the size of a Type Ⅱ error and the subjectivity of dividing the size of a Type Ⅰ error among the single tests. To overcome these deficiencies, some estimation-type identification procedures such as the FPE, the AIC and the CAT were proposed. Since these methods are very handy to choose the orders and regarded as objective ones, they are very popular nowadays in time-series analysis. The purpose of this paper is to compare the new three methods through theoretical analysis and computer simulations.