유행, 그 시대·문화의 표현

손은희 새가정사 2019 새가정 Vol.720 No.-

미세 간질중첩증에서의 역설적 편측화

손은희,정기영,김재문 대한임상신경생리학회 2002 Annals of Clinical Neurophysiology Vol.4 No.2

Background : Subtle status epilepticus (SE) is an end-stage of convulsive SE. This phenomenon might be a clinical expression of neuronal exhaustion caused by substained electrical discharges. As subtle SE may show diverse clinical features, early detection depends on clinical suspicion. Case : A 68-year-old woman was presented with repetitive involvement of right limbs after two generalized tonic-clonic seizures. She experienced right middle cerebral artery infarction 4 months ago, and after the event, left side hemiplegia sustained. These seizures were first-ever after the cerebral infarction. Orientation and verbal responses were fairly preserved but general cognitive function was minimally slowed. During the video-EEG monitoring, repetitive sharp waves were noted in the right hemisphere and these sharp waves occasionally spread to the contralateral side. Her right side involuntary movement was identifiable when the epileptic discharges were found on her right hemisphere. Conclusion : We suggested that this unexpected convulsive movement is a reflection of earlier exhaustion in the right hemisphere of deefferentation of right hemisphere because of preexisting neuronal damage.

당뇨병성 다발신경병증의 조기 진단에 있어서 신경전도검사의 유용성에 관한 논란: 부정적인 관점에서

손은희 대한임상신경생리학회 2008 Annals of Clinical Neurophysiology Vol.10 No.1

Diabetic polyneuropathy (DPN) is the most common form of diabetic neuropathy, and causes a significant morbidity with an impact on the quality of life in the patients with diabetes. Since DPN frequently induces foot deformity and ulceration, which finally leads to foot amputation, the early detection and treatment is very important for the prevention of a permanent structural change. In the early stage of DPN, the diagnostic methods which can evaluate the function or structure of small nerve fibers should be employed because small nerve fibers are first involved in the course of DPN. However, the nerve conduction study cannot reflect the function of the small nerve fibers, and thus, has a definite limitation in the early diagnosis of DPN. For the early detection of DPN, electrodiagnostic data should be interpreted on a clinical context, along with the careful evaluation of the small nerve fiber functions using the tests such as the analysis of intraepidermal nerve fiber density

피부조직검사: 소신경섬유 평가의 유용한 방법

손은희,Sohn, Eun Hee 대한임상신경생리학회 2015 Annals of Clinical Neurophysiology Vol.17 No.2

Skin biopsy with investigation of small nerve fiber in human epidermis and dermis has been proven to be a useful method for demonstration of small fiber neuropathy. Quantification of intraepidermal nerve fiber density using anti-Protein Gene Product 9.5 (PGP 9.5) antibody is standardized method to diagnose the small fiber neuropathy. Skin biopsy method also makes it possible to differentiate the type of nerve fibers by using different antibodies. Quantification of dermal structures with different type of nerve fibers could be used to invest pathophysiologic mechanism of diseased state.

현장의 사람들-쌍용정유 탱크로리 운전자 황계호씨

손은희,Son, Eun-Hui 대한석유협회 1993 석유와 에너지 Vol.1993 No.6

Validation of the Korean version of the Boston Autonomic Symptom Questionnaire

손은희,Christopher H. Gibbons,Freeman Roy,이애영,정미숙,김수영 대한신경과학회 2021 Journal of Clinical Neurology Vol.17 No.3

Background and Purpose The Boston Autonomic Symptom Questionnaire (BASQ) is a quantitative tool using a numeric rating scale to assess the symptoms of systemic dysautonomia, including cardiovascular, gastrointestinal, urinary, sudomotor, vasomotor, and sexual functions. The aim of this study was to validate the Korean version of the BASQ (KBASQ). Methods Prospectively enrolled subjects who submitted to autonomic function tests, including tests for cardiovagal, adrenergic, and sudomotor functions, also completed the KBASQ and the Korean version of the Orthostatic Grading Scale (KOGS), a validated questionnaire for assessing orthostatic symptoms.Twenty-eight subjects completed the KBASQ twice to assess test-retest reliability. We classified the subjects to dysautonomia or normal control group according to dysautonomic symptoms and the results of autonomic function tests. Results This study enrolled 225 subjects aged 54.0±18.1 years (mean±standard deviation), with a male/female ratio of 1/1.03. The internal validity of the KBASQ was excellent (Cronbach’s α=0.922), and that of each of its subscales ranged from excellent to acceptable (Cronbach’s α=0.709–0.952). The test-retest reliability was good, with correlation coefficients ranging from 0.354 to 0.917. The subcategory scores for the KBASQ were significantly higher in the dysautonomia group than in the normal control group. There were significant correlations among the items in the KBASQ and KOGS. There was also a significant correlation between KBASQ scores and the results of the autonomic function tests. Conclusions The internal validity and reliability of the KBASQ were good, indicating that it may be a useful screening tool for the systematic evaluation of autonomic symptoms in patients with dysautonomia.

뉴스되새김_요즈음, 가족 이야기

손은희 새가정사 2024 새가정 Vol.778 No.-

독사 교상 후 발생한 양안의 동안신경 마비

손은희,최수영,김대현,김제,김재문,이애영 대한신경과학회 2007 대한신경과학회지 Vol.25 No.3

산림복원 대상 후보지 추출을 위한 딥러닝 접근법

손은희,하의린,송정은,박천희,박윤선,김형호 경상국립대학교 농업생명과학연구원 2022 농업생명과학연구 Vol.56 No.6

Many studies using aerial photography and deep learning are increasing for efficient monitoring of the forest resources. We defined six semantic classes of buildings, roads, paddy fields, fields, forests, and barren as forest restoration target sites and explored the optimal methodology for extracting and classifying target sites for forest restoration based on CNN. The datasets (6,640) were divided at a ratio of 75:25 into training (4,980) and validation datasets (1,660). The accuracy of each model was evaluated using pixel accuracy (PA) and Mean Intersection over union (Mean IoU). PA was calculated as 90.6% and Mean IoU was 80.8%, and the Inception-Resnet-v2 model showed excellent accuracy in extracting target sites for forest restoration among the three models. This result has a Spatio-temporal advantage over the existing field survey for forest restoration sites or surveys using aerial photographs by manually. This study will be able to contribute to the classification of forest restoration sites efficiently and support forest restoration. 이미지 인식에 특화된 CNN (Convolutional Neural Network) 기반의 딥러닝 기법은 영상의 항목별 분류가 필요한 다양한 연구에 적용되고있다. 본 연구는 건물, 도로, 논, 밭, 산림, 나지의 6가지 항목을 산림복원 대상 후보지로 정의하고 CNN 기반의 산림복원 대상 후보지 추출 및분류의 최적 방법론을 탐색하였다. 6,640개의 데이터셋을 75:25의 비율로 훈련(4,980개) 및 검증(1,660개)로 구분하여 구축하고 학습에 활용하였다. 모델별 정확도는 픽셀정확도(PA), 평균 교차 겹침 결합(Mean IoU)을 이용하여 평가하였다. 픽셀정확도는 90.6%, 평균 교차 겹침 결합은 80.8%로산정되어 Inception-Resnet-v2 모델이 세 모델 중 가장 산림복원 대상 후보지 추출에 뛰어난 정확도를 보였다. 이 결과는 기존의 산림복원 대상후보지 현장조사 혹은 항공사진을 활용한 조사에 비해 시공간적 이점을 가지며, 향후 산림복원 대상지 선정 자료로 적용 가능성이 있다고 판단된다.

Technological Catching-up and Latecomer Strategy: A Case Study of the Asian Shipbuilding Industry

손은희,장성용,송재용 서울대학교 경영연구소 2009 Seoul Journal of Business Vol.15 No.2

This paper investigates the role of imitation and innovation in technological catching-up. On the one hand, excessive innovation and no imitation can never provide latecomers with absorptive capacity to embark on catching-up along the existing technological trajectory. On the other hand, excessive imitation and no innovation can debilitate the ability of latecomer firms to leapfrog incumbents by creating a new trajectory and further reducing the technological gap. Thus, we argue that successful technological catching-up in the long term can hardly be achieved without a fine balance between imitation and innovation at the early stage of catching-up. We also propose that occurrence of technological uncertainty at the later stage of catching-up allows latecomers with such balance to realize radical technological leapfrogging. By conducting a case study on the shipbuilding industry in the 20th century, we find supporting evidence that validates our argument.