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윤나영 ( Na Young Yoon ),지재홍 ( Jae Hong Ji ),홍승필 ( Seung Phil Hong ),전수영 ( Soo Young Jeon ),안성구 ( Sung Ku Ahn ) 대한피부과학회 2011 대한피부과학회지 Vol.49 No.1
Aberrant breast tissue is a subset of accessory breast tissue, and it exhibits similar consistency to that of the adjacent normal breast tissue, but it lacks an associated nipple complex. It is a developmental anomaly defined as the persistence of breast tissue along the embryonic mammary line. Aberrant breast tissue is most commonly located in the axilla, though it may be present anywhere along the embryonic mammary line. We report here on an 11-year-old girl with aberrant breast tissue and acanthosis nigricans. She had tender masses that became noticeable with the onset of menarche and mottled hyperpigmentation on both axillae. The histopathologic finding of the lesion revealed the typical features of aberrant breast tissue with acanthosis nigricans. (Korean J Dermatol 2011;49(1):93~95)
우발적 국소성 가시세포분리성 이각화증의 소견을 보인 화농성 육아종
박화영 ( Hwa Young Park ),안석용 ( Seok Yong Ahn ),홍승필 ( Seung Phil Hong ),전수영 ( Soo Young Jeon ),박하나 ( Ha Na Bak ),이상훈 ( Sang Hoon Lee ),안성구 ( Sung Ku Ahn ) 대한피부과학회 2008 大韓皮膚科學會誌 Vol.46 No.12
Incidental focal acantholytic dyskeratosis (IFAD) has been described for various cutaneous lesions. A 58-year-old man presented with a purple colored, 5 mm crusted papule on the back. An excisional biopsy was performed and histopathological examination showed angiomatous tissue occurring in a discrete mass. It was enclosed by a collarette of acanthotic epidermis. The angiomatous tissue comprised a variably dilated network of blood-filled capillaries, which was surrounded by myxoid stroma. Hyperkeratosis, acantholysis, dyskeratosis and intraepidermal clefts were also focally present. Correlation of the clinical features and the histopathology results established a diagnosis of pyogenic granuloma showing IFAD. (Korean J Dermatol 2008;46(12):1664∼1666)
윤나영 ( Na Young Yoon ),홍승필 ( Seung Phil Hong ),전수영 ( Soo Young Jeon ),신지수 ( Ji Soo Shin ),안성구 ( Sung Ku Ahn ) 대한피부과학회 2011 大韓皮膚科學會誌 Vol.49 No.10
Background: According to developments in socioeconomic status and medical science, the population of aged individuals has significantly increased. Therefore, this group needs a fundamental epidemiologic survey of dermatologic diseases. Objective: The purpose of this study was to evaluate the prevalence of dermatologic diseases in the elderly and to compare with those of previous studies. Methods: 729 out-patients over 65 years of age who had visited the Department of Dermatology, Yonsei University Wonju Christian Hospital from January, 2004 to December, 2010 were analyzed retrospectively. Results: The elderly group over 65 years of age accounted for 9.7% of all new patients (729/7,532 cases). The ratio of males to females was 1 to 0.99 (366 cases: 363 cases). Patients between 65 and 69 years of age were the majority (36.2%). They visited the hospital most frequently in the summer (31.8%), especially August (11.0%). The most common disease was herpes zoster (10.5%), followed by fungal infection (10.3%), and allergic contact dermatitis (8.4%). Fungal infection was the most frequent disease in patients between 65 and 69 years old and herpes zoster was the most frequent disease between 70 and 79 years old. Scabies was the most frequent disease in patients over 80 years old. Pruritis was found in 9.7% and xerosis in 7.0%. Eczema was the most common disease group (in 22.0%) and the second mmost common was viral infection (12.3%). Conclusion: This study provides useful data on the prevalence and characteristics of dermatologic diseases in elderly Korean patients. (Korean J Dermatol 2011;49(10):887∼895)
박원경(Wonkyeong Park),전승환(Seunghwan Jeon),서영수(Young Soo Seo),전수영(Sooyoung Cheon) 한국자료분석학회 2021 Journal of the Korean Data Analysis Society Vol.23 No.1
소셜네트워크 모형에 대한 통계적 추론에서 종종 베이지안 추론에 관심이 많다. 본 연구에서는 노드들 간의 규칙적인 관계 패턴을 파악하고 네트워크의 전체적인 구조를 이해하는 적절한 베이지안 소셜네트워크 모형을 고려한다. 소셜네트워크 분석에서 베이지안 추론을 위해 일반적 으로 마코브체인 몬테카를로 알고리즘을 이용한다. 하지만 전통적인 마코브체인 몬테카를로 알고리즘인 메트로폴리스 헤스팅스나 깁스샘플링 방법은 관심 모수의 사후분포로부터 샘플을 추출할 때 비효율성 문제 때문에 최댓값(global maximum)을 얻지 못하는 문제점이 종종 발생한다. 이를 극복하기 위해 본 연구는 확률적 근사 몬테카를로(stochastic approximation Monte Carlo, SAMC; Liang et al., 2007) 알고리즘을 이용하여 모형 추론 개선 방법을 제안한다. SAMC 알고리 즘은 샘플러의 자기조절능력을 가지고 있어 샘플을 추출할 때 국소트랩의 문제점을 본질적으로 해결하는 알고리즘으로 적응 마코브체인 몬테카를로(adaptive MCMC) 알고리즘이다. 모의실험과 실자료 분석으로부터 모수 추정에 있어 본 연구에서 제안한 알고리즘의 성능이 다른 알고리즘들 보다 더 우수함을 알 수 있다. Statistical inference for social network models has been often interested in Bayesian inference. This study considers an appropriate social network Bayesian statistical model that understands the regular relationship patterns between nodes and the overall structure of the network. For Bayesian inference in social network analysis, the Markov chain Monte Carlo algorithm is generally used. However, the Metropolis Hastings or Gibbs sampling methods, which are traditional Markov chain Monte Carlo algorithms, often have a problem in that the global maximum cannot be obtained due to the inefficiency of sample extraction from the posterior distribution of the parameter of interest. To overcome this, this study proposes a method to improve model inference using the stochastic approximation Monte Carlo (SAMC; Liang et al., 2007) algorithm. SAMC is an algorithm with self-adjusting capability that essentially solves the problem of sampling inefficiency, and is an adaptive Markov chain Monte Carlo algorithm. From simulation and analysis of real data, it can be seen that the performance of the algorithm proposed in this study is superior to other algoritms in parameter estimation.