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박진현,장우익,용석중,이동기,신계철,이재갑,최조영 대한내과학회 1990 대한내과학회지 Vol.39 No.2
Pancreatic pseudocyst represents one of the most common complications of pancreatitis. Pancreatic pseudocysts are usually found in the abdomen, but rarely in the mediastinum. We experienced one case of mediastinal extended pancreatic pseudocyst. A 48-yearold male was admitted to our hospital for a one week history of left lower abdominal pain and dyspnea. His past history was onc. of a heavy alcohol drinker. One year before admission, he experienced an episode of abdominal cramping pain, which suggested on acute pancreatitis attack. Chest roentgenograms frequently demonstrate a posterior mediastinal mass, and esophagograms show esophageal displacement. However, he diagnosis in this case was confirmed by computerized axial tomography of the chest and abdomen. External drainage of the pancreatic pseudocyst was performed. On the 47th admission day, the patient was discharged in general good health and relief of all symptoms.
한국여자프로골프선수의 경기력 분석 및 예측 시스템 설계
박진현 한국골프학회 2016 골프연구 Vol.10 No.1
본 연구는 2014 시즌의 한국여자프로골프선수의 상금 순위와 관련된 경기력을 분석하고, 분석된 결과를 사용하여특정한 경기력 요인의 변화에 대한 상금 순위를 예측하는 시스템을 설계하고자 한다. 경기력 분석을 위한 골프경기력 요인으로 평균타수, 평균퍼팅, 평균버디율, 그린적중률, 파세이브율, 파브레이크율, 리커버리율을 사용하였다. 각각의 경기력 요인은 곡선맞춤함수를 이용한 비선형회귀분석을 하였으며, 이는 각각의 경기력 요인에 대해예상순위를 알 수 있다. 따라서 특정한 선수에 있어서 각 경기력 요인에 대한 현재순위와 예상순위를 비교하여강점과 약점의 분석이 가능하다. 특히, 취약한 경기력 요인이 보완될 경우, 다른 경기력 요인의 예측과 분석이 가능하도록 시스템을 설계하였다. 본 연구에서는 특정한 선수의 취약한 경기력 요인이 개선될 경우, 설계된 시스템의 예측 결과와 2015 시즌의 실제 경기력과 비교하여 분석하였다. 분석된 결과 예측된 시스템의 결과와 2015 시즌의 경기력과 유사함을 알 수 있었으며, 상금 순위를 예측하는 시스템의 설계가 타당함을 알 수 있었다. This study is to analyze KLPGA player's performance of the 2014 season related to the prize money and design a prediction system of it according to the alternation of the performance factors based on the formerly analyzed facts. For the performance factors of the performance analysis, this study used scoring average, putting average, average birdies, green in regulation, par saves, par breakers, and recovery rate. Each of these have been completed with nonlinear regression analysis using curve-fitting function, which enabled this study to figure out each of the prediction ranking for the performance factor. Therefore, it was possible to examine the strengths and weaknesses of a particular player by comparing present ranking and expectation ranking on each of the performance factor. Particularly, when vulnerable performance factor is complemented, the system is designed to predict and analyze other performance factors. In this study, when vulnerable performance factor of a particular player was improved, the analysis between the designed system's prediction outcomes and 2015 season's real performances was done. To conclude, the system's prediction outcomes and 2015 season's performances were similar. Because of that it would be possible to say that the design of the prize money prediction system is valid.