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내시경적 (內視鏡的) 역행성 췌담관조영술의 (膵膽管造影術) 합병증에 (合倂症) 대한 Gabexate mesilate ( FOY ) 의 예방적 (豫防的) 효과
송인성(In Sung Song),김정용(Chung Yong Kim),윤영범(Yong Bum Yoon),배순기(Soon Kie Bae),송제일(Je Il Song) 대한소화기학회 1981 대한소화기학회지 Vol.13 No.2
N/A The development and prevalence of endoscopic retrograde cholangiopancreatography(ERCP) has resulted in great progress in the diagnosis of the disease of the pancreas, and biliary tract. At the same time, however, the rise of serum amylase level has been often point out as the complication of ERCP. To assess the effect of synthetic protease inhibitor, Gabexate mesilate(FOY), in hyperamylasemia following ERCP, the authors carried out a controlled trial in 39 patients who were underwent ERCP under the impression of pancreatic or biliary system disease. Of them 20 patients were allocated to FOY@ treated group and 10 patients to control group. The following results were obtained: 1) There was no significant difference in serum amylase level between FOY treated group and control group before ERCP, however significant difference was observed in seram amylase level at 2 hour and 2 day after ERCP between FOY treated group and control group Before ERCP the serum amylase level was 107. 6 45. 1 I.U./dl in control group and 105. 7+-42.1 I.U./dl in FOY treated group.At 2hour after ERCP the serum amylase level was 186.7 +-150.1 I.U./dl in control group and 103.2+-47.9 I.U./dl in FOY treated group. On 2nd day after ERCP, the serum amylase level was 167.7+-84. 1 I.U,/dl in control group and 109.6+-59.1 I.U./dl in FOY treated group 2) The change in serum amylase levels at 2 hour and 2 day after ERCP by the extent of visualization showed a tendency that a greater extent of visualization was associated with a higher incidence of serum amylase levels. Such a tendency was more pronounced in control group and the mean serum amylase level was significantly higher in the control group. 3) FOY did not cause any serious side effect such as shock, fall of blood pressure, itching, eruption, chest pain etc. in all cases. 4) There was some report that FOY has a relaxant action on the Oddis sphincter and helps the cannulation to the opening of Papilla of Vater, however it more depended upon the skill of the endoscopist, anatomical variation of the Papilla of Vater and FOY did not give any great advantage to the cannulation.
송제인 ( Je-in Song ),정옥란 ( Ok-ran Jeong ) 한국인터넷정보학회 2016 인터넷정보학회논문지 Vol.17 No.6
최근의 여러 웹서비스에서는 태깅 기능을 제공함으로써 사용자가 작성하는 게시물의 주제를 표현하도록 유도하고 있다. 태그를 이용하면 글이나 사진에 대한 글쓴이의 감정과 같은 문맥적인 정보의 효과적인 추출이 가능하기 때문에, 기계적인 방식보다 글의 내용에 대해서 더 나은 의미 파악이 가능하다. 따라서 이를 추천시스템에 적용한다면 사용자의 만족도를 높일 수 있는 추천이 가능할 것이다. 본 논문에서는 게시글에 속한 태그들 간의 관계를 계산하고, 효율적인 유사도 측정 알고리즘을 통해 게시글과 사용자등의 웹 자원을 추천하는 방법을 제안한다. 마지막으로, 실험을 통해 제안한 방법의 유효성을 검증하고, 사용자의 만족도를 측정하였다. Recent web services provide tagging function to users, and let them express the topic of the contents of their articles. Moreover, we can extract context information like emotion of the writer efficiently by using tags attached to the articles or images. And we are able to better understand article than traditional algorithm. (eg. TF-IDF) Therefore, if we use tags in recommendation system, we can recommend high quality resources to the users. This study proposes a recommendation method that provide web resources (articles, users) through simple algorithm based on related tag set extracted from the article. Through the experiments, we show that the result was satisfactory, and we measure the satisfaction of users.
A Social Travel Recommendation System using Item-based collaborative filtering
김대호 ( Dae-ho Kim ),송제인 ( Je-in Song ),유소엽 ( So-yeop Yoo ),정옥란 ( Ok-ran Jeong ) 한국인터넷정보학회 2018 인터넷정보학회논문지 Vol.19 No.3
As SNS(Social Network Service) becomes a part of our life, new information can be derived through various information provided by SNS. Through the public timeline analysis of SNS, we can extract the latest tour trends for the public and the intimacy through the social relationship analysis in the SNS. The extracted intimacy can also be used to make the personalized recommendation by adding the weights to friends with high intimacy. We apply SNS elements such as analyzed latest trends and intimacy to item-based collaborative filtering techniques to achieve better accuracy and satisfaction than existing travel recommendation services in a new way. In this paper, we propose a social travel recommendation system using item - based collaborative filtering.