7 research outputs found

    Asymptomatic hyperuricemia is independently associated with coronary artery calcification in the absence of overt coronary artery disease: A single-center cross-sectional study

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    Recently, the pathogenic role of uric acid (UA) in both systemic metabolic and atherosclerotic diseases has been investigated. We sought to determine the independent correlation between serum UA levels and coronary artery calcification, as a marker of subclinical atherosclerosis. A total of 4188 individuals without prior coronary artery disease or urate-deposition disease were included. All of the participants underwent multidetector computed tomography (MDCT) for the evaluation of coronary artery calcification (CAC) during their health check-ups. The subjects were divided into thre groups according to CAC scores (group 1: 0; group 2: 1-299; group 3: β‰₯300). After controlling for other confounders, serum UA levels were found to be positively associated with increasing CAC scores (Pβ€Š=β€Š0.001). Adjusted mean serum UA levels in each CAC group were estimated to be 5.2β€ŠΒ±β€Š0.1β€Šmg/dL, 5.3β€ŠΒ±β€Š0.1β€Šmg/dL, and 5.6β€ŠΒ±β€Š0.2β€Šmg/dL from groups 1, 2, and 3, respectively. Subsequent subgroup analyses revealed that this positive association was only significant in participants who were male, relatively older, less overweight, and did not have diabetes mellitus (DM), hypertension, smoking history, or renal dysfunction. In conclusion, serum uric acid levels were independently associated with CAC score severity and this finding is particularly relevant to the subjects who were male, relatively older, less overweight (body mass indexβ€Š<β€Š25β€Škg/m), and without a history of DM, hypertension, smoking, or renal dysfunction.ope

    ν•œκ΅­ ν•΄μš΄μ‚°μ—…μ˜ μˆ˜μ΅μ„± ν•˜λ½ 원인과 제고 λ°©μ•ˆμ— κ΄€ν•œ 연ꡬ

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    졜근 ν•΄μš΄μ‚°μ—…μ˜ μˆ˜μ΅μ„±μ΄ ν•˜λ½ν•˜κ²Œ 된 μ£Όμš”μΈμ€ 이전 ν•΄μš΄μ‹œμž₯ λŒ€ν˜Έν™©μœΌλ‘œ μΈν•œ 경쟁적 λ°œμ£Όμ™€ 일뢀 ν•΄μš΄μ‚¬λ“€μ˜ μƒμ‘΄μ „λž΅ ν˜Ήμ€ κ²½μŸμš°μœ„λ₯Ό 확보λ₯Ό μœ„ν•œ λŒ€ν˜•μ„ λ°•μœΌλ‘œ μ„ λŒ€ ꡐ체 λ“±μœΌλ‘œ μΈν•œ μ„ λ³΅λŸ‰ κ³Όμž‰μ΄λ‹€. μ΄λŠ” λ¬Όλ™λŸ‰μ΄ κΎΈμ€€νžˆ μ¦κ°€ν•˜κ³  μžˆλ‹€λŠ” 점, μ—°λ£ŒλΉ„κ°€ 2011λ…„ 이후 큰 변동이 μ—†λ‹€λŠ” 점, λ¬Όλ™λŸ‰/μ„ λ³΅λŸ‰ μ¦κ°€μœ¨ μƒλŒ€λΉ„κ΅ 등을 톡해 확인할 수 μžˆμ—ˆλ‹€. ν•΄μ™Έ μ£Όμš” ν•΄μš΄νšŒμ‚¬λ“€μ€ μƒλŒ€μ μœΌλ‘œ μš°μ›”ν•œ μœ λ™μ„±μ„ λ°”νƒ•μœΌλ‘œ μ„ λŒ€μ˜ λŒ€ν˜•ν™”μ™€ ꡐ체λ₯Ό ν•  수 μžˆμ—ˆκ³ , μ„ λŒ€ 경쟁λ ₯을 ν†΅ν•œ μ˜μ—…λ ₯ 강화와 λ‹¨μœ„λ‹Ή κ³ μ •λΉ„ μ ˆκ°μ„ 톡해 μ‹œν™©μ•…ν™”μ—μ„œλ„ μˆ˜μ΅μ„±μ„ μ œκ³ ν•  수 μžˆμ—ˆλ‹€. 싀증뢄석을 톡해 λ§€μΆœμ•‘, μ΄μžμ‚°, μš΄μ „μžκΈˆ(ν˜„κΈˆνλ¦„)κ³Ό ν•΄μš΄κΈ°μ—…μ˜ μˆ˜μ΅μ„±μ€ λΉ„λ‘€ν•˜κ³ , λΆ€μ±„λΉ„μœ¨κ³Ό μ°¨μž…κΈˆμ€ μˆ˜μ΅μ„±μ— λ°˜λΉ„λ‘€ν•œλ‹€κ³  해석 ν•  수 μžˆμ—ˆλ‹€. 졜근 ν•œκ΅­ ν•΄μš΄μ‚°μ—…μ˜ μœ λ™μ„± 지원을 μœ„ν•œ μ œλ„λ‘œ μ„ λ°•νˆ¬μžνšŒμ‚¬μ œλ„, μ„ λ°•λ§€μž…ν”„λ‘œκ·Έλž¨, 선박은행 등이 μžˆμœΌλ‚˜, 각 μ œλ„λ“€μ€ μΌμ‹œμ μΈ μœ λ™μ„± 곡급을 톡해 μˆ¨ν†΅μ„ ν„°μ£ΌλŠ” 역할을 μˆ˜ν–‰ν•˜μ˜€μ§€λ§Œ 뢀채 μƒμŠΉνš¨κ³Ό, 쀑고선가 ν•˜λ½ μ‹œ μˆ˜μ΅μ„± 훼손 λ“±μ˜ λ¬Έμ œκ°€ μžˆλ‹€. λ³Έ μ—°κ΅¬λŠ” μ„ λ°•μš΄μš©μ‚¬λ₯Ό λŒ€μ•ˆμœΌλ‘œ μ œμ–Έν•˜μ˜€λ‹€. μ„ λ°•μš΄μš©μ‚¬λŠ” ν•œκ³„ ν•΄μš΄νšŒμ‚¬μ˜ 쀑고선 λ§€μž…μ΄ μ•„λ‹Œ, μ‹ μ‘°λ°œμ£Όλ₯Ό ν•˜μ—¬ ν•΄λ‹Ή 선박을 ν•΄μš΄νšŒμ‚¬μ— λŒ€μ„ ν•˜μ—¬ μˆ˜μ΅μ„ μ°½μΆœν•˜λŠ” 사업λͺ¨λΈμ΄λ‹€. μ„ λ°•μš΄μš©μ‚¬λŠ” ν•΄μš΄κΈ°μ—…μ˜ μ˜μ—…κ²½μŸλ ₯ 및 μ›κ°€κ²½μŸλ ₯을 확보할 수 μžˆλŠ” λ°©μ•ˆμ΄ 될 것이닀.제1μž₯ μ„œ λ‘  1 제1절 연ꡬ λ°°κ²½ 및 λͺ©μ  1 제2절 μ—°κ΅¬μ˜ λ²”μœ„ 및 방법 3 제3절 μ—°κ΅¬μ˜ ꡬ성 및 흐름 4 제2μž₯ ν•΄μš΄μ‚°μ—…μ˜ μˆ˜μ΅μ„±κ³Ό ν•΄μš΄ν™˜κ²½ λ³€ν™” 6 제1절 ν•΄μš΄μ‚°μ—…μ˜ μˆ˜μ΅μ„± λ³€ν™” 6 1. λΆ€μ •κΈ°μ„  ν•΄μš΄μ‹œμž₯ 8 2. μ •κΈ°μ„  ν•΄μš΄μ‹œμž₯ 11 제2절 ꡭ제 ν™˜κ²½ 규제 κ°•ν™” 15 1. EEDI(Energy Efficiency Design Index) 15 2. ECAs(Emission Control Area) 17 제3절 ν•œκ΅­ ν•΄μš΄μ‚°μ—…μ˜ 흐름과 κ²½μ˜μ‹€νƒœ 19 1. ν•œκ΅­ ν•΄μš΄μ‚°μ—…μ˜ λ°œμ „νλ¦„ 19 2. ν•œκ΅­ ν•΄μš΄μ‚°μ—…μ˜ κ²½μ˜μ‹€νƒœ 21 제4절 κ΅­λ‚΄μ™Έ ν•΄μš΄μ‚°μ—…μ˜ μˆ˜μ΅μ„± 비ꡐ 23 제5절 각ꡭ ν•΄μš΄μ‚°μ—… 지원 ν˜„ν™© 29 1. ν•΄μ™Έ μ£Όμš” ν•΄μš΄κ΅­κ°€μ˜ 지원 ν˜„ν™© 29 2. ν•œκ΅­μ˜ 지원 ν˜„ν™© 30 제3μž₯ 이둠적 λ°°κ²½κ³Ό 선행연ꡬ 38 제1절 κΈ°μ—… μˆ˜μ΅μ„±μ˜ 이둠적 λ°°κ²½ 38 제2절 선행연ꡬ 40 제4μž₯ 싀증 뢄석 42 제1절 연ꡬ 섀계 42 1. μ—°κ΅¬μ˜ λŒ€μƒ 및 뢄석 방법 42 2. λ³€μˆ˜μ˜ μ„ μ •κ³Ό μΈ‘μ • 43 3. κ°€μ„€ μ„€μ • 44 제2절 μˆ˜μ΅μ„± 영ν–₯μš”μΈ 뢄석결과 47 1. 뢄석λͺ¨ν˜• 및 관계뢄석 47 2. μ΅œμ’… 검증식과 검증 κ²°κ³Ό 50 3. 가섀검증 κ²°κ³Ό μš”μ•½ 53 제3절 μˆ˜μ΅μ„± 제고λ₯Ό μœ„ν•œ μ‹ κ·œ 지원 λͺ¨λΈ μ œμ–Έ 55 제5μž₯ κ²°λ‘  58 제1절 μ—°κ΅¬μ˜ μš”μ•½κ³Ό μ‹œμ‚¬μ  58 1. μ—°κ΅¬μ˜ μš”μ•½ 58 2. μ—°κ΅¬μ˜ μ‹œμ‚¬μ  60 제2절 μ—°κ΅¬μ˜ ν•œκ³„μ™€ ν–₯ν›„ μ—°κ΅¬κ³Όμ œ 61 μ°Έ κ³  λ¬Έ ν—Œ 6

    Estimation and Testing for Separable Covariance

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    ν•™μœ„λ…Όλ¬Έ (석사) -- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : μžμ—°κ³Όν•™λŒ€ν•™ 톡계학과, 2021. 2. μž„μš”ν•œ.λΆ„ν• κ°€λŠ₯ 행렬은 λ°˜λ³΅μΈ‘μ • λ‹€λ³€λŸ‰ 자료, μ‹œκ³΅κ°„ 자료 λ“±μ—μ„œ 주둜 λ‚˜νƒ€λ‚  수 μžˆλŠ” 곡뢄산 ν–‰λ ¬μ˜ ꡬ쑰 쀑 ν•˜λ‚˜μ΄λ‹€. 곡뢄산 ν–‰λ ¬μ˜ λΆ„ν• κ°€λŠ₯성을 κ²€μ •ν•˜λŠ” 방법은 κ·Έλ™μ•ˆ κΎΈμ€€νžˆ λ°œκ²¬λ˜μ–΄ μ™”μ§€λ§Œ, 각자 λ‹€λ₯Έ 쑰건 ν•˜μ—μ„œ 연ꡬ가 μ§„ν–‰λ˜μ–΄ 왔기에 이λ₯Ό μ²΄κ³„μ μœΌλ‘œ μ •λ¦¬ν•˜κ³  μ•žμœΌλ‘œ λ‚˜μ•„κ°ˆ 점을 μ‚΄νŽ΄λ³Ό ν•„μš”μ„±μ΄ λŒ€λ‘λ˜μ—ˆλ‹€. 이λ₯Ό μœ„ν•΄ μš°μ„  μ •κ·œλΆ„ν¬ κ°€μ • ν•˜μ—μ„œ κ°€μž₯ 기초적인 방법듀인 μ΅œλŒ€κ°€λŠ₯도 μΆ”μ •λŸ‰κ³Ό κ°€λŠ₯도비 κ²€μ •μ˜ ꡬ체적인 ν‘œν˜„μ„ μ‚΄νŽ΄λ³΄κ³ , κ°€λŠ₯도비 κ²€μ •μ˜ 단점을 보완할 수 μžˆλŠ” μˆœμ—΄ 검정에 λŒ€ν•΄μ„œ μžμ„Ένžˆ μ•Œμ•„λ³΄μ•˜λ‹€. λ˜ν•œ μ •κ·œλΆ„ν¬ 가정을 νƒ€νŒŒν•˜κΈ° μœ„ν•΄ λ‘κΊΌμš΄ 꼬리 뢄포에 λŒ€ν•΄ μ‘°μ‚¬ν•œ ν›„, 이듀 뢄포에 μƒˆλ‘œμ΄ μ μš©ν•  수 μžˆλŠ” μΆ”μ •λŸ‰μ— λŒ€ν•΄μ„œ μΆ”κ°€λ‘œ μ•Œμ•„λ³΄μ•˜λ‹€. λ§ˆμ§€λ§‰μœΌλ‘œ λ‘κΊΌμš΄ 꼬리 뢄포와 그에 μ•Œλ§žλŠ” μΆ”μ •λŸ‰μ„ μ‚¬μš©ν•œ 검정에 λŒ€ν•΄ 고찰해보고, μ΄λŸ¬ν•œ 검정을 μ„€κ³„ν•˜λŠ” 데 μžˆμ–΄μ„œ μ£Όμ˜ν•  사항에 λŒ€ν•΄μ„œλ„ κ³ μ°°ν•΄λ³΄μ•˜λ‹€.The separable matrix is one of the structures of covariance matrices that can mainly appear in repeated measure multivariate data and spatio temporal data. Methods to test the separability of the covariance matrix have been discovered steadily, but research has been conducted under different conditions, so the need to systematically organize them and examine future points has emerged. To this end, we first looked at the most basic methods under the assumption of normal distribution, the concrete expressions of the maximum likelihood estimator and the likelihood ratio test, and then examined in detail the permutation test that can compensate for the shortcomings of the likelihood ratio test. In addition, we investigated the heavy-tailed distributions to break the assumption of the normal distribution, and we additionally investigated the estimators that can be newly applied to these distributions. Finally, we discussed the test using heavy-tailed distributions and estimators suitable for it, and also considered the points to be aware of in designing such a test.제 1 μž₯. μ„œ λ‘  2 제 2 μž₯. λΆ„ν• κ°€λŠ₯ 곡뢄산 ν–‰λ ¬ 4 제 3 μž₯. λΆ„ν• κ°€λŠ₯ 곡뢄산 ν–‰λ ¬μ˜ μΆ”μ • 5 제 4 μž₯. κ³΅λΆ„μ‚°μ˜ λΆ„ν• κ°€λŠ₯성에 λŒ€ν•œ κ²€μ • 7 제 1 절. κ°€λŠ₯도비 κ²€μ • 7 제 2 절. μˆœμ—΄ κ²€μ • 8 제 5 μž₯. λ‘κΊΌμš΄ 꼬리 λΆ„ν¬λ‘œμ˜ ν™•μž₯ 11 제 1 절. 타원 뢄포 (EL) 11 제 2 절. μΌλ°˜ν™”λœ 타원 뢄포 (GEL) 12 제 3 절. λ³€ν™˜λœ 타원 뢄포 (TEL) 13 제 6 μž₯. λ…Ό 의 14 μ°Έκ³ λ¬Έν—Œ 15 Abstract 16Maste

    Development of Science Museum Exhibition Contents for Youth Education Developed by Science and Engineering College Students

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    The purpose of this study is for science and engineering students to experience social contribution through voluntary projects. The method of research is to create and introduce the exhibits and its exhibition commentary of Science Museum for local youth. The exhibition commentary is a project that stimulates studentβ€˜s interests in science and technology by providing scientific knowledge and research information. Producing exhibits is a project that discovers local technologies as well as introduces its history, technology, and scientific principles to young students. Two projects confirmed the positive effects of creating opportunities for science and engineering students to contribute to society and expanding scientific content, and showed implications for engineering education.2

    A Study on Engineering Education Model for Citizen - Focusing on the Connection Program Between Colleges of Science and Engineering and Science Museums -

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    The purpose of this study is to propose a strategy model for engineering education for citizen through the connection between colleges of science and engineering and science museums as a way to achieve citizen science. For this model, the role of universities was redefined as social contributions through engineering education from the perspective of knowledge triangle and university entrepreneurship. In addition, the science museum was re-examined as an engineering education platform and selected as an institution that supports the contribution of colleges to society. For practical model development, the connection types of these two institutions were analyzed as case studies and interview to collect opinions from experts in the science museum. In this process, convergence education content development, reinforcement of college-science museum linkage, infrastructure construction, development of college resource utilization plans, and maintenance and expansion of educational programs diversification were derived as components for model development. Based on this, engineering education model for citizen was presented that matches educational programs according to the type of participation of colleges including key factors and considerations.2

    Hyperuricemia and risk of increased arterial stiffness in healthy women based on health screening in Korean population.

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    Hyperuricemia is a risk factor for cardiovascular disease and is associated with increased arterial stiffness in high-risk populations. However, given the possible sex-related differences in the prevalence of hyperuricemia, the association between elevated serum uric acid (SUA) level and increased arterial stiffness has yielded conflicting results. We investigated the relationship between SUA and arterial stiffness in asymptomatic healthy subjects who underwent a health examination. Subjects who underwent a comprehensive health examination were enrolled. After exclusion of extensive confounding factors, 2,704 healthy subjects with coronary calcium score < 100 were evaluated in the final analysis. All subjects underwent brachial-ankle pulse wave velocity (baPWV) to detect arterial stiffness. The SUA was divided into quartiles for its association with arterial stiffness and was analyzed separately for men and women. The mean SUA level was significantly lower in women than in men. The baPWV was significantly elevated in subjects with the highest quartile of SUA in women, but not in men. After adjusting for age, smoking, systolic blood pressure, body mass index, estimated glomerular filtration rate, fasting plasma glucose, high-density lipoprotein-cholesterol, low-density lipoprotein-cholesterol, and coronary artery calcium score, the highest quartile of SUA in women was significantly associated with increased risk of high baPWV compared with the lowest quartile of SUA (OR = 1.7, p = 0.018), whereas in men, SUA level was not associated with high baPWV. Our study showed that elevated SUA is independently associated with increased baPWV in healthy Korean women, but not in men.ope
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