Dehydrocoupling of Bis(silyl)alkylbenzenes to Network Polysilanes, Catalyzed by Group 4 Metallocene Combination

김명희,이준,무수용,김종현,고영춘,우희권,Kim, Myoung-Hee,Lee, Jun,Moo, Soo-Yong,Kim, Jong-Hyun,Ko, Young Chun,Woo, Hee-Gweon The Basic Science Institute Chosun University 2010 조선자연과학논문집 Vol.3 No.1

Bis(silyl)alkylbenzenes such as bis(1-sila-sec-butyl)benzene (1) and 2-phenyl-1,3-disilapropane (2) were synthesized in high yields by the reduction of the corresponding chlorosilanes with $LiAlH_4$ in diethyl ether. The dehydrocoupling of 1 and 2 was performed using group IV metallocene complexes generated in situ from $Cp_2MCl_2$/Red-Al and $Cp_2MCl_2$/n-BuLi (M = Ti, Hf), producing two phases of polymers. The TGA residue yields of the insoluble polymers were in the range of 64-74%. The molecular weights of the soluble polymers produced ranged from 700 to 5000 ($M_w$ vs polystyrene using GPC) and from 500 to 900 ($M_w$ vs polystyrene using GPC). The dehydropolymerization of 1 and 2 seemed to initially produce a low-molecular-weight polymer, which then underwent an extensive cross-linking reaction of backbone Si-H bonds, leading to an insoluble network polymer.

Dehydrogenative Polymerization of Hydrosilanes to Silicon Polymers

김명희,이준,모수용,김종현,우희권,Kim, Myoung-Hee,Lee, Jun,Mo, Soo-Yong,Kim, Jong-Hyun,Woo, Hee-Gweon The Basic Science Institute Chosun University 2010 조선자연과학논문집 Vol.3 No.2

Hydrosilanes possessing reactive Si-H bond are used in synthesizing various types of polysilanes by dehydrocoupling under the influence of various organometallic promoters. Catalytic Si-Si/Si-O coupling of hydrosilanes with hydrosilanes, alcohols, and lactones to silicon-based polymers are described in this article as selective examples of our recent research developments. These silicon-containing polymers can be used as a precursor to prepare useful functional materials for fabricating electronic devices.

Capture-recapture 방법을 이용한 1998년 제주도 볼거리 유행시 보고 자료의 완전성 평가

김명희,박진경,기모란,허영주,김정순,최보율,Kim, Myoung-Hee,Park, Jin-Kyoung,Ki, Mo-Ran,Hur, Young-Joo,Kim, Joung-Soon,Choi, Bo-Youl 대한예방의학회 2000 Journal of Preventive Medicine and Public Health Vol.33 No.3

Objectives : To estimate mumps incidence during the study period and to evaluate the completeness of case reporting. Methods : Capture-recapture methods, originally developed for counting wildlife animals, were used. The data sources were 1) the National Notifiable Communicable Disease Reporting System (NNCDRS; 848 cases), 2) the School Health Reporting System, temporarily administered by the Division of Education (SHRS; 1,026 cases), and 3) a survey of students (785 cases). We estimated the number of unobserved mumps cases by matching the three data sources and fitting loglinear models to the data. We then determined the estimated total number of mumps cases by adding this to the number of observed cases. Completeness was defined as the proportion of observed cases from each source to the total of estimated cases. Results : The total number of observed cases was 1,844 and the total number of estimated cases was 1,935 (95%, CI: $1,878\sim2,070$). The overall completeness was 43.8% of the NNCDRS, 53.0% of the SHRS, and 40.6% of the survey. However, completeness varied by area and age. Conclusion : Although the completeness of NNCDRS data appeared higher than in the past, it is difficult to generalize this result In Korea, it is possible to estimate the size of health hazards relatively cheaply and quickly, by applying capture-recapture methods to various data using a multiple data collection system.

1998년 제주도에서 발생한 볼거리 유행조사

김명희,허영주,최보율,기모란,Kim, Myoung-Hee,Hu, Young-Joo,Choi, Bo-Youl,Ki, Mo-Ran 대한예방의학회 2001 Journal of Preventive Medicine and Public Health Vol.34 No.1

Objectives : To describe the characteristics of a mumps epidemic in Cheju-do, 1998 and to identify the risk factors associated with mumps infection. Methods : To estimate attack rate, previously collected data from the Nationally Notifiable Communicable Disease Reporting System and School Health Reporting System, temporarily administered by Division of Education. as well as additional surveillance data were used. In order to identify the clinical characteristics and risk factors associated with mumps, we conducted a questionnaire survey in 17 schools (9 elementary, 4 middle, and 4 high schools) among a population that included healthy students. Results : From March 3 to August 31, 2,195 cases of mumps were identified, and patients under 20 years of age accounted for 2,162 cases (attack rate 13.2, 95% CI 12.6-13.7/1,000). The attack rate for the population under 20 years of age was the highest in Nam county (44.7/1,000), nod in the 7-12 years old sub-group(>20.0/1,000). There was no sexual difference. 80.5% and 59.7% of patients presented periauricular and submandibular swelling respectively. Aseptic meningitis was a complication in 2.9% of cases, orchitis in 1.3%, epididymitis in 0.9% and oophoritis in 0.6% respectively. The overall MMR vaccination rate was 59.1% and it decreased in accordance with increasing age. In students aged 10 years old or below, household contact and MMR vaccination status was significantly associated with infection, and only among students with household contact, the risk of one dose MMR(OR=10.22, 95% CI 2.92-35.78) and non-vaccination (OR=11.62, 95% CI 1.96-68.96) was significantly greater when. compared with that of two dose vaccination. Among students aged 11 years old or above, household contact history was significantly associated and MMR vaccination status was not associated. Conclusions : Low vaccination rate and vaccine failure were thought to predispose the population for this large outbreak. To prevent sustained mumps outbreaks, a second MMR vaccination should be encouraged and catch up vaccinations should be given to elderly children who remain susceptible.

해상운임에 영향을 미치는 주요 요인에 관한 연구

김명희,Kim, Myoung-Hee 한국항해항만학회 2022 한국항해항만학회지 Vol.46 No.4

In this study, a multivariate time series analysis was conducted to identify various variables that impact ocean freight rates in addition to supply and demand factors. First, we used the ClarkSea Index, Clarksons Average Bulker Earnings, and Clarksons Average Tanker Earnings provided by the Shipping Intelligence as substitute variables for the dependent variable, ocean freight. The following ndependent variables were selected: World Seaborne Trade, World Fleet, Brent Crude Oil Price, World GDP Growth Rate, Industrial Production (IP OECD) Growth Rate, Interest Rate (US$ LIBOR 6 Months), and Inflation (CP I OECD) through previous studies. The time series data comprise annual data (1992-2020), and a regression analysis was conducted. Results of the regression analysis show that the World Seaborne Trade and Brent Crude Oil P rice impacted the ClarkSea Index. Only the World Seaborne Dry Bulk Trade impacted the Clarksons Average Bulker Earnings, World Seaborne Oil Trade, Brent Crude Oil Price, IP, and CP I on the Clarksons Average Tanker Earnings.

비실험자료를 이용한 연구에서 인과적 추론의 강화: 성향점수와 도구변수 방법의 적용

김명희,도영경,Kim, Myoung-Hee,Do, Young-Kyung 대한예방의학회 2007 예방의학회지 Vol.40 No.6

Objectives : This study attempts to show how studies using non-experimental data can strengthen causal inferences by applying propensity score and instrumental variable methods based on the counterfactual framework. For illustrative purposes, we examine the effect of having private health insurance on the probability of experiencing at least one hospital admission in the previous year. Methods : Using data from the 4th wave of the Korea Labor and Income Panel Study, we compared the results obtained using propensity score and instrumental variable methods with those from conventional logistic and linear regression models, respectively. Results : While conventional multiple regression analyses fail to identify the effect, the results estimated using propensity score and instrumental variable methods suggest that having private health insurance has positive and statistically significant effects on hospital admission. Conclusions : This study demonstrates that propensity score and instrumental variable methods provide potentially useful alternatives to conventional regression approaches in making causal inferences using non-experimental data.

산욕기 산모의 간호요구 조사

김명희(Myoung Hee Kim),이성은(Seong Eun Lee) 한국보건간호학회 1998 韓國保健看護學會誌 Vol.12 No.2

벌크선 운임과 중고선가의 인과성 분석

김명희 ( Myoung Hee Kim ),이기환 ( Ki Hwan Lee ),김지영 ( Ji Young Kim ) 한국해운물류학회(구 한국해운학회) 2014 해운물류연구 Vol.30 No.3

본 연구에서는 벡터자기회귀(Vector Autoregressive, VAR)모형을 이용하여 벌크시장에서 해상운임과 중고선가의 관계를 검증하였다. 선령 5년, 10년을 기준한 capesize, panamax급 중고선가와 BDI, BCI, BPI 운임지수를 대상으로 2000년 1월부터 2014년 2월까지의 월데이터를 이용하여 분석하였다. 인과관계분석 결과 운임지수는 중고선가에 영향을 미치지만 중고선가는 운임지수에 영향을 미치지 않는 것으로 나타났다. 충격반응분석과 오차분해분석 결과 운임지수의 변동은 2개월 후의 중고선가에 가장 크게 영향을 주며 이 충격은 12개월 후엔 거의 소멸되는 것으로 나타났다. panamax에 비해 사이즈가 큰 capecsize급 선박이, 선령이 높은 선박(10년)에 비해 선령이 낮은 선박(5년)이 운임 변동에 중고선 가격이 더 크게 반응하는 것으로 나타났다. 또한 중고선가의 경우 panamax급 선박은 BDI에 비해 BPI의 변동에, capesize급 선박은 BCI보다 BDI의 변동에 더 크게 변화하는 것으로 나타났다. We test dynamic relationship between the freight indexes and the ship prices in second-hand bulk market using VAR(Vector Autoregressive) model. We collected 5 and 10-year-old vessel prices of capesize and panamax and BDI(Baltic Dry Index), BCI(Baltic Capesize Index), BPI(Baltic Panamax Index) from January 2000 to February 2014. The result of causality analysis shows that the freight indexes have an impact on the ship prices, while the ship prices do not impact the freight indexes. We find that at the time of two months, the response of the ship prices to the impulse of the freights is the strongest and disappear in twelve months. This paper also shows that the change of the capesize vessel prices is stronger than that of the panamax and the price of the ten-year vessels responds weaker than that of five-year by the fluctuation of the each freight indexes. Moreover, the panamax vessel prices moved more greatly by BPI rather than BDI. However, the price of the capesize vessels changed more greatly by BDI than BCI.

우리나라 해운기업의 부실예측에 관한 연구

김명희(Myoung Hee Kim),이기환(Ki Hwan Lee) 한국해양비즈니스학회 2016 해양비즈니스 Vol.- No.34

The purpose of this paper is to make the prediction models of business failure using multivariate discriminant analysis and logit analysis for Korean shipping compames. Many shipping compames have gone out of business and we find a list of companies closed a business between 2000 and 2014 in a report of cessation of business from the National Tax Service. Only 32 firms of all failure shipping companies were available to collect the financial statement in DART(Data Analysis, Retrieval and Transfer System) of the Financial Supervisory Service. Finally the 32 firms became a sample group for this study. And another normal 32 firms were chosen as a control group for comparison with failure firms. We considered 22 financial ratios of 5 categories for independent variables. And we selected independent variables by the result of t-test between two groups. Also the 32 paired firms were divided into two groups. One is to fit the prediction model and the other group is to test reliability of the fitting model. We assessed the accuracy in classification by hit ratio and reliability by predictive power. The results of this study are as follows. First, when using a year ago data from closing business, the hit ratio of two models is the same with 79.5%. However the predictive power of logit model with 75% is higher than discriminant model with 70%. Second, when using data of two-years ago, the hit ratio of discriminant model is 65 .0% and the predictive power is 66.7%. However the significance of discriminant model is not valid in the 95 % confidence level. In case of logit model, the hit ratio is 55.5% and the predictive power is 50%. The significance of logit model is valid in the 95 % confidence level however t-values of all independent variables are not significant.

해양금융 중심도시를 위한 부산의 발전요인 분석

김명희(Kim, Myoung-Hee),이기환(Lee, Ki-Hwan),양혁준(Yang, Huck-Jun) 한국항만경제학회 2016 韓國港灣經濟學會誌 Vol.32 No.3

본 연구는 부산이 최근 새롭게 구축하고 있는 해양 도시로서의 역량에 부응하여 세계적인 해양금융도시로 발전하기 위한 필요 요소가 무엇인지를 모색하고 도출된 요소들 간의 중요도를 파악하여 해양금융발전도시를 위한 정책수립 과정에 도움이 되는 시사점을 제공하는 데 목적을 두고 있다. 이를 위해 본 논문에서는 선진 해양금융도시에 대한 사례연구 및 선행연구, 그리고 전문가 면담을 통해 구성된 AHP 설문을 해양산업 및 해양금융 전문가를 대상으로 조사하였고 그 결과와 분석을 통해 부산의 해양금융발전도시로의 성공요인을 도출하였다. 1계층 4개 요인과 2계층 16개 세부항목으로 설계된 구조화된 대안 항목 간의 우선순위(중요도)를 평가하기 위해 계층화분석방법인 AHP(Analytic Hierarchy Process) 기법을 활용하였으며 그 결과는 다음과 같다. 먼저 1계층 4개 요인의 경우 해양금융 발전(0.371), 비즈니스 환경(0.248), 인프라(0.206), 정부지원/기타(0.175)의 순으로 그 중요도가 분석되었다. 다음으로 2계층의 경우에는 4개 주요 성공요인에 대한 16개 하부항목의 중요도를 전체와 각 요인에 따른 하부항목 중요도를 따로 분석하였다. 먼저 16개 하부항목 전체로 분석한 결과 해양금융 관련기관 집적(0.134)이 가장 중요한 요인으로 평가되었다. 그리고 4개 요인별로 구분하여 2계층을 분석한 결과, 첫째, 해양금융 발전 요인에서는 해양금융 관련기관 집적(0.400)이, 둘째, 정부지원/기타 요인의 경우 중앙정부의 행 · 재정 지원(0.423)이, 셋째, 비즈니스 환경 요인에서는 조선해양산업 클러스터(0.315)가, 넷째, 인프라 요인의 2계층 중요도는 ICT&교통(0.326)이 가장 중요한 항목으로 분석되었다. The purpose of this paper is to find the success factors for a newly developed marine financial city of Busan. For this, in the paper, we did case studies about advanced marine financial cities such as Hamburg, Oslo, Pireus, Shanghai, Singapore and London. And we made the hierarchical questionnaire for this study from literature reviews and interviews with experts in the field of the marine finance. A hierarchy was made up of 4 factors as the first class and the each factor consisted of four elements as the second class. The results of AHP analysis are as follows. First, the most important factor in the priorities with respect to marine financial city of Busan is "development of marine finance(0.371)" within the four factors as the first class. Next came "business environment(0.248)", "infrastructure(0.206)" and "support of government(0.175)". Second, the most important things is a clustering for marine finance(0.134) within 16 elements as the second class. We also analysed the priorities by the each factor of the second class. The most important element is an industrial clustering of marine finance(0.400) for "development of marine finance" and a clustering of the shipbuilding & marine industry(0.175) for "business environment" factor. And the ICT & transportation(0.326) is the most important element for "infrastructure" and a support of the national government(0.423) for "support of government" factor.