• 대한본초학회지
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• 제26권4호
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• pp.169-180
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• 2011

Objectives : This study aimed at evaluation of the effects of Rhodiola rosea on brain edema and expressions of matrix metalloproteinases (MMPs) related to blood-brain barrier (BBB) disruption. Methods : Brain edema following intracerebral hemorrhage (ICH) was induced by the stereotaxic intrastriatal injection of bacterial collagenase type VII in rats (Sprague-Dawley). Then ethanol extract of Rhodiola rosea was treated once a day for 3 days. Brain edema % and water contents, and BBB leakage were examined. Immunohistochemistry was processed for MMP-9, MMP-12, and iNOS expressions in the brain sections and each immuno-labeled cells were analyzed with image analysis software. Results : 1. Ethanol extract of Rhodiola rosea reduced brain edema following ICH in rats significantly. 2. Ethanol extract of Rhodiola rosea reduced excessive brain tissue water contents following ICH in rats significantly. 3. Ethanol extract of Rhodiola rosea reduced BBB leakage in the cerebral cortex following ICH in rats. 4. Ethanol extract of Rhodiola rosea reduced cellular edema of neurons in peri-hematoma and the cerebral cortex following ICH in rats significantly. 5. Ethanol extract of Rhodiola rosea reduced MMP-9 positive cells in the cerebral cortex following ICH in rats significantly. 6. Ethanol extract of Rhodiola rosea reduced MMP-12 positive vessels in the cerebral cortex following ICH in rats significantly. 7. Ethanol extract of Rhodiola rosea reduced iNOS positive cells in the cerebral cortex and external capsule following ICH in rats significantly. Conclusions : These results suggest that Rhodiola rosea reveals protective effect against brain edema and cytotoxic edema of neurons by means of down-regulation of MMPs and iNOS expressions, and inhibition of BBB leakage.

• Clinical and Experimental Reproductive Medicine
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• 제43권2호
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• pp.82-89
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• 2016

Objective: The long interspersed elements (LINE-1, L1s) are a group of genetic elements found in large numbers in the human genome that can translate into phenotype by controlling genes. Growing evidence supports the role of epigenetic in polycystic ovary syndrome (PCOS). The purpose of this study is to evaluate the DNA methylation levels in LINE-1 in a tissue-specific manner using cumulus cells from patients with PCOS compared with normal controls. Methods: The study included 19 patients with PCOS and 22 control patients who were undergoing controlled ovarian hyperstimulation. After oocyte retrieval, cumulus cells were extracted. LINE-1 DNA methylation levels were analysed by bisulfite treatment, polymerase chain reaction, and restriction enzyme digestion. The Connection Up- and Down-Regulation Expression Analysis of Microarrays software package was used to compare the gene regulatory functions of intragenic LINE-1. Results: The results showed higher LINE-1 DNA methylation levels in the cumulus cells of mature oocytes in PCOS patients, 79.14 (${\pm}2.66$) vs. 75.40 (${\pm}4.92$); p=0.004, but no difference in the methylation of cumulus cells in immature oocytes between PCOS and control patients, 70.33 (${\pm}4.79$) vs. 67.79 (${\pm}5.17$); p=0.155. However, LINE-1 DNA methylation levels were found to be higher in the cumulus cells of mature oocytes than in those of immature oocytes in both PCOS and control patients. Conclusion: These findings suggest that the epigenetic modification of LINE-1 DNA may play a role in regulating multiple gene expression that affects the pathophysiology and development of mature oocytes in PCOS.

• 약학회지
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• 제52권2호
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• pp.137-146
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• 2008

Even though driving under the influence of drug (DUID) is a worldwide problem, we, Korea has no regulation system yet except for alcohol, and there are little cases reported related to DUID. In order to investigate the type of abused drugs for drivers in Korea, we tried to analyze controlled and non-controlled drugs in alcohol-positive blood samples. 275 whole bloods, which were positive for alcohol on the roadside test, were collected from the police for two months ($Nov.{\sim}Dec.$ 2006). The analytical strategy was constituted of three steps: First, alcohol in blood samples were confirmed and quantified by gas chromatography. Second, controlled drugs were screened by $Evidence_{investigator}\;^{TM}$ (Randox, U.K.) as preliminary test. It was based on immunoassay by biochip array analyzer. Nine groups of drug abuse were screened: amphetamines, methamphetamines, cannabis, cocaine, opiates, barbiturates, methadone, benzodiazepines I (oxazepam) & II (lorazepam). Finally, confirmation of these drugs was performed by GC-MS. Blood samples were extracted by solid-phase extraction by $RapidTrace^{TM}$ (Zymark, U.S.A.). After trimethylsilyl (TMS) derivatization, eluates were analyzed to GC-MS. Total 49 drugs were investigated in this study including controlled drugs, antidepressants, 1st generation antihistamines, dextromethorphan, nalbuphine, ketamine, etc. For rapid detection, we developed the automated identification system. It was made up a new software, "DrugMan", modified Chemstation data analysis menu and newly developed macro modules. A series of peak selection, identification and reporting of the results were performed automatically by this system. Concentrations of alcohol in 275 blood samples were ranged from 0.011 to 0.249% (average, 0.119%). Among 149 blood samples, just six samples (4.0%) were showed positive results to the immunoassay: one methamphetamine and five benzodiazepines group I. By GC-MS confirmation, only benzodiazepines were detected and methamphetamine was not detected from immunoassay positive blood sample. Besides these drugs, 5 chlorpheniramines, dextromethorphan, diazepam, doxylamine, ibuprofen, lidocaine and topiramate were also detected in whole bloods by GC-MS. Conclusively, the frequency of drug abuse for Korean drivers was relatively low. There was none case which illegal drug was detected. However these results were limited to alcohol positive blood samples, so it is necessary to analyze more samples including alcohol negative blood.

• 기본간호학회지
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• 제7권1호
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• pp.109-121
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• 2000

Increasingly nursing science is embracing the concepts and methodology derived from psycho-neuroimmunology. It has been previously shown that stress increases and immune function declines in students undergoing examinations. To date, however, no many studies have been reported on stress levels, immune function and interventions in Korean students undergoing their first clinical nursing rotation. It was proposed that nursing students during their first clinical rotation experience increase in stress because of the novelty of the situation and their lack of clinical knowledge. It was also hypothesized that biofeedback and progressive relaxation, methods of self-regulation of involuntary autonomic nervous system responses, would reduce the stress response. The purpose of this study is to test the effectiveness of progressive muscle laxation using biofeedback The effectiveness of the experimental methods was tested by measuring the degree of symptoms of stress (SOS) and the values of ephinephrine, pulse rate, blood pressure and natural killer cells. The subjects of this study were thirty nursing students divided into two groups: experimental group was progressive muscle relaxation group using biofeedback and control group. This study was conducted for 8 weeks of clinical practice. Biofeedback training was done by software developed by J&J company (1-410 form for progressive muscle training). Progressive muscle relaxation training according to Jacobson's Theory was done by messaged word from biofeedback. The data was analyzed using Chronbach' ${\alpha}$ and t-test of the SPSS program and the significance level of statistics was 5%. The results of the study were : 1) The progressive muscle relaxation training using biofeedback was effective for the reduction of symptoms of stress(t=-4.248, p<.001) under clinical practice stress conditions. 2) The progressive muscle relaxation training using biofeedback was not effective for the values of epinephrine(t=-1.294, p=.206). 3) The progressive muscle relaxation training using biofeedback was effective for the reduction of systolic blood pressure (t=-2.757, p=.01). 4) The progressive muscle relaxation training using biofeedback was effective for the reduction of diastolic blood pressure (p=-2.032, 0=.05). 5) The progressive muscle relaxation training using biofeedback was not effective for the reduction of pulse rate(t=-15, p=.988). 6) The progressive muscle relaxation training using biofeedback was effective for the maintenance of natural killer cells (t=2.381, p=02). The first clinical rotation for student nurses is a stressful experience as seen by the rise in the SOS in the control group. Biofeedback using progressive muscle relaxation were effective in preventing the rise of symptoms of stress and the blood pressure means when comparing the pre to post clinical experience, The mean natural killer cell count was depressed in the control group but not significantly different in the experimental groups, It is proposed here that stress via the hypothalamic - pituitary - adrenal axis suppressed the NK cell count whereas the relaxation methods prevented the rise in stress and the resulting immune depression. We recommend relaxation techniques using biofeedback as a health promotion technique to reduce psychological stress. In summary. the progressive muscle relaxation training using biofeedback was effective for the reduction of symptoms of stress under clinical practice stress conditions.

• 지적과 국토정보
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• 제50권1호
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• pp.163-180
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• 2020

본 연구에서는 스마트시티 구성요소인 공간정보인프라 구축을 위해 최신 공간정보 취득 기술인 드론을 기반으로 도심지의 3차원 디지털트윈 모형을 구축하였으며, 구축된 모형 간의 처리시간·품질·정확도 분석과 스마트시티 응용시스템을 활용하여 몇 가지 분석 모델을 구현하였다. 3종의 드론 사진측량 소프트웨어의 데이터 처리시간·품질이 각각 다르게 나타난 반면 구축 모델의 정확도는 8점의 검사점에 대한 평균제곱근 오차(RMSE)는 N방향으로 ±0.04m, E방향으로는 ±0.03m, Z방향으로 ±0.02m로 경계점좌표등록부시행지역의 경계점에 대한 측량성과와 검사성과의 허용범위로 규정하고 있는 0.1m 미만으로 나타났으며. 항공사진측량 작업규정의 1:500~1:600 축척의 사진기준점 오차 한계인 표준편차 0.14cm 이내로 나타나서 지적과 항공사진측량에서 규정하는 대축척의 오차 한계 모두 만족함을 알 수 있었다. 또한 드론기반의 3차원 도심지 디지털트윈 모형을 이용한 스마트시티 구현의 활용성 증대를 위해 본 연구에서 구축한 모형을 이용하여 조망권·경관분석, 일조권분석, 순찰경로분석, 화재진압 모의 훈련 등을 구현하였으며, 기존 항공측량 방법과 비교해서 육안 판독지점에 대한 정확도는 기존 항공측량 보다 10cm 내외 더 정확하고, 약 30㎢ 이하의 구축 면적에서 기존항공측량 보다 구축비용을 절감할 수 있을 것이라 판단할 수 있었다.

• 한국항해항만학회지
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• 제38권5호
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• pp.549-559
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• 2014

국제무역지수의 증가로 인한 해상운송 및 항만개발수요의 증가는 국제해사기구(IMO)를 중심으로 선박기인 대기오염, 특히 온실가스 배출규제의 강화를 초래하였다. 이러한 국제환경규제에 대응하고 선박 및 항만기인 환경오염 저감을 통한 자국민의 후생증진을 위하여 미국과 유럽을 중심으로 Green Port 정책의 시행이 점점 확대되고 있는 추세이다. 이에 따라 우리나라도 2010년 녹색성장기본법을 재정하고 국가 Green Port 구축 종합계획을 수립하여 각 항만별 그린포트 구축계획의 수립 및 이행을 촉구하고 있는 실정이다. 따라서 본 연구의 목적은 동북아시아 오일허브 항만을 지향하는 울산항의 지속가능한 친환경 항만운영을 위한 울산항의 Green Port 정책방안의 수립에 있다. 이를 위해 울산항의 친환경 항만정책의 현황 및 문제점을 살펴보고, 해외 해양선진국의 그린포트구축 사례분석과 선행연구 조사, 전문가 자문을 통하여 울산항 그린포트 구축을 위한 정책대안을 도출하였다. 그리고 도출된 정책대안에 대하여 전문가 AHP 설문조사 및 분석을 통해 울산항에 도입 가능한 그린포트 구축 정책대안에 대한 우선순위를 도출하였다. 본 연구의 결과, 울산항의 특성에 맞는 지속적인 그린포트 정책의 시행을 위하여 하드웨어 정책으로 LED 교체와 AMP의 구축, 그리고 소프트웨어 정책으로 항만환경관리부서의 신설이 최우선 정책대안으로 나타났다.

• 대한방사선기술학회지:방사선기술과학
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• 제27권2호
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• pp.7-12
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• 2004

MDCT는 비침습적인 방법으로 관상동맥 질환을 검사하는데 유용하다고 알려져 있다. 하지만 영상의 질에 있어서 환자의 심장박동이 결정적인 영향을 주게 된다. 특히 심장박동이 불규칙하거나 조기 심실수축 환자일 경우 영상을 재구성하는데 있어 왜곡 현상이 증가하여 진단에 어려움을 초래한다. 최근 본원에서 심장박동이 불규칙한 환자에서 영상 재구성시 불규칙한 R-R 간격을 조정한 후 얻은 영상이 artifact가 감소하는 현상을 경험한 바 있다. 따라서 본 연구에서는 다양한 교정 방법(disable, inesrt, R-R interval 교정)이 영상의 질에 어떤 영향이 있는지를 알아보고자 한다. 심박동이 불규칙한 24명의 환자에서 교정방법에 따라 영상을 재구성한 결과 R-R Interval 조정에서 통계학적으로 유의한 결과를 얻을 수 있었다(p<0.05). 본 연구에서는 R-R Interval 조정에서 가장 우수한 영상을 얻을 수 있었으며, 향후 심장 질환의 진단에 도움을 줄 수 있는 기초연구로서 그 가치가 충분하리라 사료된다.

• 방사성폐기물학회지
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• 제17권3호
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• pp.313-319
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• 2019

A-KRS는 한국원자력연구원에서 개발한 파이로프로세싱 처리된 폐기물을 처분하는 개념이다. 고준위 방사성폐기물은 파이로프로세싱에 의하여 최소화되며, 최종 발생된 고준위 방사성폐기물은 모나자이트 세라믹 폐기물 형태로 제조된다. 모나자이트 세라믹 폐기물은 처분공에 영구 처분되어 열을 발생시킨다. 발생된 열은 폐기물을 보호하는 캐니스터 및 완충재의 온도를 상승시켜 설계 기준을 초과 시킬 수 있다. 온도는 처분공 간의 거리로 조절 가능하며 한국원자력연구원에서 해석한 바 있다. 한국원자력연구원에서 해석한 경계조건은 완벽 접촉을 가정한 것이기 때문에, 최초 처분 시에 발생하는 간격에 의해 발생하는 열 저항에 의한 온도 분포는 알 수 없다. 이를 보완하기 위하여, 본 논문에서는 최초 처분 시 존재하는 간격에 의한 열 전달 해석을 수행하였다. 또한 발열체와 캐니스터 간의 공극을 추가하여 온도 분포 해석을 수행하였다. COMSOL 전산해석 소프트웨어를 이용하여 열전달 해석을 수행하였다.

• 한국환경보건학회지
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• 제48권3호
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• pp.159-166
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• 2022

Background: A quantitative structure-activity relationship (QSAR) model was adopted in the Registration, Evaluation, Authorization, and Restriction of Chemicals (REACH, EU) regulations as well as the Act on Registration, Evaluation, etc. of Chemicals (AREC, Republic of Korea). It has been previously used in the registration of chemicals. Objectives: In this study, we investigated the correlation between the predicted data provided by three prediction programs using a QSAR model and actual experimental results (acute fish, daphnia magna toxicity). Through this approach, we aimed to effectively conjecture on the performance and determine the most applicable programs when designating toxic substances through the AREC. Methods: Chemicals that had been registered and evaluated in the Toxic Chemicals Control Act (TCCA, Republic of Korea) were selected for this study. Two prediction programs developed and operated by the U.S. EPA - the Ecological Structure-Activity Relationship (ECOSAR) and Toxicity Estimation Software Tool (T.E.S.T.) models - were utilized along with the TOPKAT (Toxicity Prediction by Komputer Assisted Technology) commercial program. The applicability of these three programs was evaluated according to three parameters: accuracy, sensitivity, and specificity. Results: The prediction analysis on fish and daphnia magna in the three programs showed that the TOPKAT program had better sensitivity than the others. Conclusions: Although the predictive performance of the TOPKAT program when using a single predictive program was found to perform well in toxic substance designation, using a single program involves many restrictions. It is necessary to validate the reliability of predictions by utilizing multiple methods when applying the prediction program to the regulation of chemicals.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제12권2호
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• pp.59-76
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• 2023

코로나 시대 이후 아파트 가격 상승은 비상식적이었다. 이러한 불확실한 부동산 시장에서 가격 예측 연구는 매우 중요하다. 본 논문에서는 다양한 부동산 사이트에서 자료 수집 및 크롤링을 통해 2015년부터 2020년까지 87만개의 방대한 데이터셋을 구축하고 다양한 아파트 정보와 경제지표 등 가능한 많은 변수를 모은 뒤 미래 아파트 매매실거래가격을 예측하는 모델을 만든다. 해당 연구는 먼저 다중 공선성 문제를 변수 제거 및 결합으로 해결하였다. 이후 의미있는 독립변수들을 뽑아내는 전진선택법(Forward Selection), 후진소거법(Backward Elimination), 단계적선택법(Stepwise Selection), L1 Regularization, 주성분분석(PCA) 총 5개의 변수 선택 알고리즘을 사용했다. 또한 심층신경망(DNN), XGBoost, CatBoost, Linear Regression 총 4개의 머신러닝 및 딥러닝 알고리즘을 이용해 하이퍼파라미터 최적화 후 모델을 학습시키고 모형간 예측력을 비교하였다. 추가 실험에서는 DNN의 node와 layer 수를 바꿔가면서 실험을 진행하여 가장 적절한 node와 layer 수를 찾고자 하였다. 결론적으로 가장 성능이 우수한 모델로 2021년의 아파트 매매실거래가격을 예측한 후 실제 2021년 데이터와 비교한 결과 훌륭한 성과를 보였다. 이를 통해 머신러닝과 딥러닝은 다양한 경제 상황 속에서 투자자들이 주택을 구매할 때 올바른 판단을 할 수 있도록 도움을 줄 수 있을 것이라 확신한다.