• Animal Systematics, Evolution and Diversity
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• 제20권2호
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• pp.99-107
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• 2004

울산 인근의 하수처리장에서 채집된 섬모충류가 겹가지섬모충과(Epistylidae)에 속하는 원반겹가지섬모충 (Epistylis chrysemydis)과 겹가지섬모충 (Epistylis entzii)으로 각각 동정되었다. 이 종들은 DIC 현미경을 이용하여 생체관찰하였으며, Protagol로 염색하여 세부형질을 관찰하였다. E. chrysemydis는 위구부의 위구순에는 2개의 bulge가 있으며, 섬모열은 위구부에서 11/2바퀴를 돌고, 1개의 수축포는 배쪽에 위치하며, 줄기가 텅 비어 있는 형태이다. 구부막판 1과 3의 끝이 구부막판 2보다 길다. 반면에 E. entzii는 위구부의 위구순에는 1개의 bulge가 있으며 섬모열은 위구부에서 11/4-11/3바퀴를 돈다. 수축포는 등쪽에 위치하며 줄기는 꽉 찬 형태이다. 구부막판 1과 2의 끝이 구부막판 3보다 길다. 이종들은 한국에서 처음 보고된다.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제25권4호
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• pp.375-378
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• 1999

우수한 항생제 요법이후 치성 감염으로 인한 Ludwig's angina의 합병증으로 인한 사망은 극히 드문 것으로 알려져 왔다. 본 교실에서는 고혈압의 기왕력을 지닌 57세 여환이 하악 전치부의 치근단 농양을 원인으로 하는 좌측 협간극의 감염으로 인하여 개구장애와 동통을 주소로 내원하여 입원치료중, Ludwig's angina 및 심경부감염으로 확산되고 입원 10일째 패혈증과 성인 호흡장애 증후군(ARDS)및 산발성 혈관내 응고증(DIC)의 진단하에 사망한 증례를 통하여 패혈증의 소견과 진단 및 그에 따른 처치 등에 대한 지견을 얻었기에 진단과 예방에 도움을 주고자 문헌고찰과 함께 보고하는 바이다.

• Journal of the korean society of oceanography
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• 제32권1호
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• pp.28-37
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• 1997

Two marine bivalve shells were collected from the eastern and western coastal regions of Korea, respectively. Stable oxygen and carbon isotope profiles are constructed using the incremental sampling along the axis of maximum growth to provide the continuous ${\delta}^{18}$O and ${\delta}^{13}$C records, which register the physical, biological and chemical properties of seawater where the organisms live. Cycles in the ${\delta}^{18}$O profiles are interpreted as annual along with the identification of annual growth bands; the maximum ${\delta}^{18}$O values correspond with the coldest temperature of seawater whereas the minimum ${\delta}^{18}$O values with the warmest temperature. The primary control on the amplitude of the ${\delta}^{18}$O profiles is seasonal variation of seawater temperature. The offset of the baseline between ${\delta}^{18}$O values of the two specimens is attributed to differences in both temperature and seawater ${\delta}^{18}$O values between two localities. The ${\delta}^{13}$C profiles show the similar seasonality of carbon cycling associated with phytoplankton productivity. The offset in the ${\delta}^{13}$C profiles between two specimens may be, as in the case of oxygen isotope profile, attributed to the different ${\delta}^{13}$C value of the seawater DIC (dissolved inorganic carbon) between the western coast and the eastern coast. Relationships between the shell isotopic composition and the coastal water properties of shell growth are readily interpreted from the ${\delta}^{18}$O-${\delta}^{13}$C pair diagram of the shell isotope data, similar to the use of salinity-${\delta}^{18}$O diagram for identifying water masses. The preliminary stable isotope results of this study suggest that mollusk shell isotope geochemistry may be useful to monitor the properties of water masses in the coastal and inner shelf setting around Korea and improve the interpretation of paleoceanography, provided the fossil mollusks are well preserved.

• Ocean and Polar Research
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• 제33권4호
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• pp.447-455
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• 2011

Using results from an earth system model, the distribution of partial pressure of $CO_2$ ($pCO_2$) in surface seawater over the East China Sea is investigated. In this area $pCO_2$ shows minimum along the edge of the continental break along the path of the Taiwan-Tsushima Current System. Apparently modelled chlorophyll is also great along the current but the maximum of the chlorophyll and the minimum of $pCO_2$ do not coincide suggesting that the primary production is not the main cause of the $pCO_2$ minimum. As we move toward the Yellow Sea from the Kuroshio area the temperature decreases so that the $pCO_2$ becomes smaller. If we move further toward the Yellow Sea beyond the Taiwan-Tsushima Current System, alkalinity starts to drop substantially to intensify $pCO_2$ while overcoming the effect of decreasing temperature and salinity. Thus $pCO_2$ minimum occurs along the Taiwan-Tsushima Current System. Of course, the primary production lower $pCO_2$ during spring when it is high but the effect is local. Near the Yangtze river mouth and northeastern corner of the Yellow Sea the fresh water input is large enough and dissolved inorganic carbon (DIC) becomes low enough so that $pCO_2$ becomes lower again.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2008년도 학술발표회 논문집
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• pp.2151-2155
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• 2008

본 연구는 매립공사를 위한 호안 끝물막이 시공에서 최종 물막이 구간의 유속 예측 및 적정 사석규격 및 시공방안을 설계하기 위한 방안을 수립하고자 실시하였다. 호안의 끝물막이 구간과 호안 제체를 통한 해수의 유출입량을 산정하고, 끝물막이 구간의 유속에 저항하기 위한 적정 사석규격의 선정과 점축식과 점고식 시공법중 수리학적으로 유리한 시공방법을 시공일자별 및 시공단계별로 결정 할 수 있게 함에 따라 효율적인 끝물막이 구간의 설계 및 시공관리를 가능하게 하였다. 본 연구에서는 2001년에 대림산업에서 개발된 프로그램을 업그레이드 하여 보다 사용자가 프로그램을 통하여 쉽게 결과값을 사용하고 분석할 수 있도록 하였다. 그 일환으로 User Interface 업그레이드와 아울러 엘셀 호환 및 도움말 기능 등을 추가하였다. 또한 배수갑문 이외에 중소규모 현장에서 적용되는 배수관거를 모의할 수 있도록 기능을 추가하였다. 이밖에 결과값들을 프로그램 자체에서 분석하여 그래프화 하거나 데이터화 하도록 하여 별도의 결과 분석 없이 결과값을 사용할 수 있도록 하였다.

• 응용통계연구
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• 제24권4호
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• pp.677-693
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• 2011

본 논문에서는 영 과잉 계수형 자료 분석을 위한 모형중의 하나인 영 과잉 포아송 모형의 베이지안 접근 방법에 대해서 연구한다. 구체적으로는 베이지안 영 과잉 포아송 모형의 적합을 위한 사후 표본을 추출하는데 있어서, 깁스 표집기(Gibbs sampler)를 이용하는 마르코프 연쇄 몬테칼로(MCMC) 방법과 역 베이즈공식(IBF)에 의한 표본추출 방법 두 가지를 고려한다. 이러한 두 가지 사후 표본 추출방법을 비교 설명하고, IBF를 통한 사후표본을 깁스 표집기 사후표본의 수렴성 여부를 확인하는 방식에 대해서도 소개한다. 이를 바탕으로 베이지안 영 과잉 포아송 모형을 Trajan이라는 사과 품종의 발아자료(Trajan data, Marin 등, 1993)에 적용하고 모수에 대한 사후추론을 실시하고 기존의 결과와 비교한다. 또한 주어진 자료에 대하여 영 과잉 포아송 모형이 적합한지에 대한 여부를 여러 가지 모형선택 기준을 통해서 살펴보고, 아울러 기존의 자료 분석 결과 (Rodrigues, 2003)를 보완하기 위하여 계층적 베이지안 모형과 같은 대안에 대해서도 논의해본다.

• Asian Pacific Journal of Cancer Prevention
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• 제17권1호
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• pp.361-367
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• 2016

We have reported a high prevalence of breast cancer in light-polluted areas in Korea. However, it is necessary to analyze the spatial effects of light polluted areas on breast cancer because light pollution levels are correlated with region proximity to central urbanized areas in studied cities. In this study, we applied a spatial regression method (an intrinsic conditional autoregressive [iCAR] model) to analyze the relationship between the incidence of breast cancer and artificial light at night (ALAN) levels in 25 regions including central city, urbanized, and rural areas. By Poisson regression analysis, there was a significant correlation between ALAN, alcohol consumption rates, and the incidence of breast cancer. We also found significant spatial effects between ALAN and the incidence of breast cancer, with an increase in the deviance information criterion (DIC) from 374.3 to 348.6 and an increase in $R^2$ from 0.574 to 0.667. Therefore, spatial analysis (an iCAR model) is more appropriate for assessing ALAN effects on breast cancer. To our knowledge, this study is the first to show spatial effects of light pollution on breast cancer, despite the limitations of an ecological study. We suggest that a decrease in ALAN could reduce breast cancer more than expected because of spatial effects.

• Asian Pacific Journal of Cancer Prevention
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• 제15권2호
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• pp.663-669
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• 2014

Background: With recent progress in health science administration, a huge amount of data has been collected from thousands of subjects. Statistical and computational techniques are very necessary to understand such data and to make valid scientific conclusions. The purpose of this paper was to develop a statistical probability model and to predict future survival times for male breast cancer patients who were diagnosed in the USA during 1973-2009. Materials and Methods: A random sample of 500 male patients was selected from the Surveillance Epidemiology and End Results (SEER) database. The survival times for the male patients were used to derive the statistical probability model. To measure the goodness of fit tests, the model building criterions: Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) were employed. A novel Bayesian method was used to derive the posterior density function for the parameters and the predictive inference for future survival times from the exponentiated Weibull model, assuming that the observed breast cancer survival data follow such type of model. The Markov chain Monte Carlo method was used to determine the inference for the parameters. Results: The summary results of certain demographic and socio-economic variables are reported. It was found that the exponentiated Weibull model fits the male survival data. Statistical inferences of the posterior parameters are presented. Mean predictive survival times, 95% predictive intervals, predictive skewness and kurtosis were obtained. Conclusions: The findings will hopefully be useful in treatment planning, healthcare resource allocation, and may motivate future research on breast cancer related survival issues.

• Nutrition Research and Practice
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• 제14권1호
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• pp.12-19
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• 2020

BACKGROUND/OBJECTIVES: Vitamin D is a pleiotropic hormone that affects various body organ systems. We evaluated the prevalence of a vitamin D deficiency (VDD) and its potential role in the clinical condition of critically ill Korean children. SUBJECTS/METHODS: Patients under 18 years old with a 25(OH) vitamin D measurement on the first day of PICU admission were included from among the children admitted to the pediatric intensive care unit (PICU) of our tertiary children's hospital between October 2017 and January 2019. RESULTS: A total of 172 pediatric patients were enrolled. The mean 25(OH) vitamin D level was 17.5 ± 12.8 ng/mL. There was a 65.1% prevalence of VDD (25(OH) vitamin D level < 20 ng/mL). VDD was associated with age at PICU admission, gastrointestinal/hepatobiliary disorders, International Society of Thrombosis and Hemostasis disseminated intravascular coagulation (ISTH DIC) score, pediatric multiple organ dysfunction syndrome (pMODS) score and with several laboratory test findings including hemoglobin, platelet, C-reactive protein, serum albumin, total bilirubin, prothrombin time, and anti-thrombin III levels. Most of these parameters also showed significant linear correlations with the 25(OH) vitamin D level (P < 0.05). However, no statistically meaningful association was found between VDD and other clinical conditions such as the need for a mechanical ventilator, requirement for vasoactive drugs, duration of the PICU and hospital stays, or PICU mortality. CONCLUSION: There is a high prevalence of VDD in critically ill Korean children. There were significant associations between the 25(OH) vitamin D level and gastrointestinal/hepatobiliary disorders, the pMODS score and with coagulation related factors. Further large-scale studies with more specific subgroup analyses are required to more precisely assess the clinical implications of VDD in critically ill pediatric patients.

• Asian Pacific Journal of Cancer Prevention
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• 제15권14호
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• pp.5571-5575
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• 2014

Background: The ability to predict the survival time of breast cancer patients is important because of the potential high morbidity and mortality associated with the disease. To develop a predictive inference for determining the survival of breast cancer patients, we applied a novel Bayesian method. In this paper, we propose the development of a databased statistical probability model and application of the Bayesian method to predict future survival times for White Hispanic female breast cancer patients, diagnosed in the US during 1973-2009. Materials and Methods: A stratified random sample of White Hispanic female patient survival data was selected from the Surveillance Epidemiology and End Results (SEER) database to derive statistical probability models. Four were considered to identify the best-fit model. We used three standard model-building criteria, which included Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) to measure the goodness of fit. Furthermore, the Bayesian method was used to derive future survival inferences for survival times. Results: The highest number of White Hispanic female breast cancer patients in this sample was from New Mexico and the lowest from Hawaii. The mean (SD) age at diagnosis (years) was 58.2 (14.2). The mean (SD) of survival time (months) for White Hispanic females was 72.7 (32.2). We found that the exponentiated Weibull model best fit the survival times compared to other widely known statistical probability models. The predictive inference for future survival times is presented using the Bayesian method. Conclusions: The findings are significant for treatment planning and health-care cost allocation. They should also contribute to further research on breast cancer survival issues.