http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Validation of the Korean Ankylosing Spondylitis Quality of Life Questionnaire
Minjun Choi,Tae Sik Goh,Dong Suk Kim,Seung Min Son,Jung Sub Lee 대한정형외과학회 2023 Clinics in Orthopedic Surgery Vol.15 No.6
Background: Measuring accurate and reliable scores of quality of life in patients with ankylosing spondylitis (AS) is important in both decision-making and treatment planning for the disease. Questionnaire, The ankylosing spondylitis quality of life (ASQoL), is one of the representative tools for assessing how seriously AS patients view their disease severity, activity, as well as their overall health. To make these types of questionnaires readable and understandable, local language translation of surveys should be required. A Korean version of the ASQoL questionnaire has accordingly been developed. This study assessed the Korean version of the ASQoL survey to evaluate the reliability and validity of it. Methods: Translation and reverse translation of the English ASQoL survey were conducted. A total of 120 consecutive AS patients received a mail including the Korean-translated 36-Item Short Form Survey (SF-36), the ASQoL survey, and the visual analog scale (pain). The coefficient of intraclass correlation and Cronbach’s alpha were computed, and factor analysis, as well as reliability assessments utilizing the kappa agreement statistics for each item, was undertaken. By analyzing the responses to SF-36 and ASQoL questionnaire utilizing Pearson’s correlation coefficient, construct validity was calculated. Results: Factor analysis was performed regarding pain, physical function, and mental function. The kappa statistic of agreement was larger than 0.6 for all items. The ASQoL questionnaire had adequate test and re-test reliability (0.814). Furthermore, Cronbach’s α, the internal consistency, was very good (0.877). The Korean-translated ASQoL questionnaire demonstrated a significantly strong correlation between the single domain and total SF-36 scores. Conclusions: The Korean version of the ASQoL questionnaire showed acceptable properties of measurement and successful translation. Thus, it can be said that the questionnaire is appropriate for evaluating the outcomes of Korean patients with AS.
Choi Minjun,Kim Kyung-Mi,조은지,Jeong Tae-Bin,Jung Jae-Chul 건강기능식품미래포럼 2021 건강기능식품미래포럼 학술지 Vol.1 No.1
Health functional food (HFF) is managed in various types of and different regulations in each country. It is largely composed of notified HFF and recognized HFF in Korea. We described the process of registering the raw materials of HFF in Korea and details of the registration of recognition of Sophora japonica L. Fruit Extract for excellent female menopausal efficacy. To have a valid Health Claim of food ingredients, recognition of the ingredients must be obtained from The Ministry of Food and Drug Safety. To register the recognition of HFF, it is required to have sufficient scientific evidence on standardization of raw materials, verification of functional efficacy and safety.
공소제기 후 작성된 진술조서에 대한 증거능력 판단 기준으로서의 특신상태 -대법원 2019.11.28. 선고 2013도6825 판결 -
최민준(Choi, Minjun) 전북대학교 법학연구소 2021 法學硏究 Vol.66 No.-
대상판결의 요지는 “제1심에서 피고인에 대하여 무죄판결이 선고되어 검사가 항소한 후, 수사기관이 항소심 공판기일에 증인으로 신청하여 신문할 수 있는 사람을 특별한 사정없이 미리 수사기관에 소환하여 작성한 진술조서는 피고인이 증거로 할 수 있음에 동의하지 않는 한 증거능력이 없다”라는 것이다. 대상판결은 전문증거인 위 진술조서의 증거능력을 부정하는 근거로, 당사자주의 · 공판중심주의 · 직접심리주의에 반하고 피고인의 공정한 재판을 받을 권리를 침해한다는 전문법칙상의 일반론을 설시하는데 그쳤으나, 형사소송법 제312조 제4항에 규정된 특신상태가 인정되지 않음을 명시하는 것이 타당하다. 위 진술조서의 증거능력 판단에 있어 기준은 단순히 공소제기 전후가 아니라 특신상태 여부이고, 특신상태는 구체적 · 개별적 상황별로 판단할 필요가 있다. 대상판결의 결론을 ‘공소제기 후 수사기관이 작성한 참고인 진술조서는 증거능력이 없다’는 법리로 확대, 일반화하는 것은 구체적 타당성이 없다. 참고인조사의 동기 및 경위 등 구체적인 제반사정을 참작하여 특신상태를 신중히 판단하여야 한다는 취지로 이해함이 상당하다. The gist of the target judgment is that “After the Defendant was acquitted in the first trial, statements decree prepared by the prosecutor by summoning a person who can be interrogated as a witness in the appeal trial without any special circumstances, doesnt have the admissibility of evidence unless the Defendant agrees to the evidence.”. The target judgment lay out general theory of hearsay rule as a basis, but it is reasonable to specify that the circumstantial guarantees of trustworthiness stipulated in Article 312 (4) of the Criminal Procedure Act is not recognized. In determining the admissibility of evidence in the above statements decree, the criterion is not simply before or after the prosecution, but whether or not circumstantial guarantees of trustworthiness is recognized. And the circumstantial guarantees of trustworthiness should be judged by specific and individual circumstances. There is no concrete legal validity to expand and generalize the conclusion of the target judgment to the legal principle that statements decree prepared by the investigative agency after the prosecution has no admissibility of evidence. It is reasonable to understand the meaning of target judgment as the circumstantial guarantees of trustworthiness should be carefully judged in consideration of specific circumstances such as motivation, details, situations of the investigation etc.
기계학습 알고리즘을 이용한 소프트웨어 취약 여부 예측 시스템
최민준(Minjun Choi),김주환(Juhwan Kim),윤주범(Joobeom Yun) 한국정보보호학회 2018 정보보호학회논문지 Vol.28 No.3
4차 산업혁명 시대에 우리는 소프트웨어 홍수 속에 살고 있다. 그러나, 소프트웨어의 증가는 필연적으로 소프트웨어 취약점 증가로 이어지고 있어 소프트웨어 취약점을 탐지 및 제거하는 작업이 중요하게 되었다. 현재까지 소프트웨어 취약 여부를 예측하는 연구가 진행되었지만, 탐지 시간이 오래 걸리거나, 예측 정확도가 높지 않았다. 따라서 본 논문에서는 기계학습 알고리즘을 이용하여 소프트웨어의 취약 여부를 효율적으로 예측하는 방법을 설명하며, 다양한 기계학습 알고리즘을 이용한 실험 결과를 비교한다. 실험 결과 k-Nearest Neighbors 예측 모델이 가장 높은 예측률을 보였다. In the Era of the Fourth Industrial Revolution, we live in huge amounts of software. However, as software increases, software vulnerabilities are also increasing. Therefore, it is important to detect and remove software vulnerabilities. Currently, many researches have been studied to predict and detect software security problems, but it takes a long time to detect and does not have high prediction accuracy. Therefore, in this paper, we describe a method for efficiently predicting software vulnerabilities using machine learning algorithms. In addition, various machine learning algorithms are compared through experiments. Experimental results show that the k-nearest neighbors prediction model has the highest prediction rate.
최민준(Minjun Choi),구인영(Inyeong Gu),신동혁(Dong-Hyuk Shin) 한국연소학회 2021 KOSCOSYMPOSIUM논문집 Vol.2021 No.5
This study investigated effects of combustion models in predicting NOx emission with computational fluid dynamics (CFD) simulations. Hydrogen/air combustion is considered as a future technology as the process does not emit green-house gases. Still, hydrogen combustion is prone to produce nitrogen oxides (NOx) which needs further investigation. We tested the accuracy of the NOx post-processing method by comparing with the full GRI-3.0 mechanism in laminar Bunsen flames. The post-processing method slightly overpredicted NOx emission by 8.3 %. Secondly, we also conducted RANS simulations on a Norwegian University of Science and Technology (NTNU) burner with two combustion models; the Turbulent Flame-speed Closure (TFC) model and the Eddy Dissipation Concept (EDC) model. The TFC model resulted in the NOx prediction in the same order of magnitude with the experimental measurement, while the EDC model over-predicted the NOx emission by four times. The results highlighted that prediction of NOx emissions is strongly dependent on the choice of combustion model.