• Clinical and Experimental Reproductive Medicine
• /
• v.35 no.1
• /
• pp.49-60
• /
• 2008

Objective: This study was carried out to investigate the effects of 3-dimensional co-culture of human endometrial cells decidualized with progesterone and TGF-${\beta}1$ on the development of 2-cell mouse embryos. Methods: Stromal and epithelial cells isolated from human endometrial tissue were immunostained for cytokeratin and vimentin. Expression of TGF-${\beta}1$, its receptor-1, -2, integrin-${\beta}3$ and prolactin in mono or co-culture according to three different hormone conditions was investigated by RT-PCR. Differential staining was used to investigate the number of ICM and trophectoderm of hatched mouse blastocysts in different three conditions. Results: The immunohistochemical study was positive for cytokeratin or vimentin and confirmed that epithelial and stromal cells were isolated from endometrial tissue successfully. In co-culture, TGF-${\beta}1$, its receptor-1, integrin-${\beta}3$ and prolactin except TGF-${\beta}1$-r2 were expressed in progesterone dominant condition. The hatching and attaching rate were higher in the co-culture with decidualized cells (p<0.05). However, we observed that lots of the incomplete hatched blactocysts attached on non-decidualized cells. The ICM number of hatched mouse blastocysts was higher in co-culture with decidualized and non decidualized cells than media only culture (p<0.05). The trophectoderm number of hatched blastocyst was higher in the co-culture with decidualized cells than non-decidualized cells or media only culture (p<0.05). Conclusion: The administration of progesterone, estrogen and TGF-$\beta$ could induce decidualization of stromal and epithelial cells isolated from human endometrial tissue using 3-dimensional co-culture, and the decidualization of human endometrial cells could increase the hatching and attaching rate of 2-cell mouse embryos.

• Journal of the Korea society of information convergence
• /
• v.1 no.1
• /
• pp.47-54
• /
• 2008

This study analyzed the status and causes for the dropouts of college based on the survey conducted among 14,210 freshmen attending D College, other than the supernumerary special selection, from 2001 through 2005. A significant difference was shown in all items of general characteristics. The dropout rate of women, generally selected and general highschool graduated were higher than for men, specially selected and special high school graduated, respectively. The most dropouts were due to Not Return(40.16%), followed by Unenrolled(32.98%), Voluntary Leave(26.05%) and Expelled(0.81%) in order. In the distribution of the central tendency values measured from the entire subjects, the high school records and the days of absence showed a positive skewness, while the college records showed a negative skewness with the data mostly around a higher grade. The standard deviation indicating that the dropouts got the scores higher than those of the continuing students demonstrated that there was relatively insignificant difference in scores between two groups. It was demonstrated that both the high school records and the days of absence affected the dropout. The lower the high school records were, and the more the days of absence were, the more influence both items had on the dropout. The influence degree of each item was similar. Lower the scores were in terms other than the first term in the freshmen year, the more influence it had on the dropout. The most dropouts were influenced by the scores of the freshmen year, followed by the credits of the second term, the scores of the first term, the scores of the second term, and the credits of the first term in the freshmen year. Among the general characteristic items, the most dropouts were influenced by the course of study, followed by the gender. The effect of other items was insignificant.

• Korean Journal of Veterinary Research
• /
• v.33 no.2
• /
• pp.295-300
• /
• 1993

Central nervous system of two dogs with natural canine distemper was investigated histopathologically and immunocytochemically with antisera to MBP, MAG and GFAP. Histopathologically, there were neuronal degeneration and diffuse gliosis in the cerebrum, vacuolar degeneration, hypertrophy of astrocytes and demyelination in cerebellar white matter adjacent to the 4th ventricle and optic tracts showing non-inflammatory demyelinating encephalomyelitis (Summers and Appel, 1987). Immunohistochemically, there was a concurrent disappearance of MBP and MAG in the well developed demyelinating lesion in the cerebellar white matter. At the margin of demyelination, Loss of both MBP and MAG varied on the stage of demyelinating process. GFAP-positive astrocytes were hypertrophied and contained canine distemper virus intranuclear inclusions. GFAP-positive fibers were increased at the early stage of demyelination, and then were not immunoreaeted at the well developed demyelination. Hypertrophic astrocytes with intranuclear inclusions were commonly identified in the interfascular layer without myelin vacuolation and demyelination. This is the first study of primary demyelination and astroglial reactions in natural CDE investigated using immunocytochemistry of two myelin proteins and GFAP. Concurrent loss of MBP and MAG suggest that the myelin sheath is the target in the demyelinating process in CDE.

• Journal of the Korea Convergence Society
• /
• v.9 no.6
• /
• pp.183-190
• /
• 2018

With decreasing the number of high school graduates, it is vital for each college to maintain its enrollment number as well as to preserve its dropout rate in a lower level. It is true that all universities and colleges have experienced inevitable dropouts that were in fact more serious in 2 to 3-year colleges. There have been prior studies to examine what factors affected to students' dropout in various ways. However, no specific programs were employed to mitigate the rates of dropout. In this study, new encouraging program is introduced for the students who were not ready to study and isolated from classroom. The result showed that the program led to the GPA enhancement in larger number of participants. Nevertheless, the sustainablity of the program would be unclear unless it combines with other existing programs.

• Communications for Statistical Applications and Methods
• /
• v.15 no.3
• /
• pp.353-365
• /
• 2008

The sample size in a clinical trial is determined by the hypothesis, the variance of observations, the effect size, the power and the significance level. Dropouts in clinical trials are inevitable, so we need to consider dropouts on the determination of sample size. It is common that some proportion corresponding to the expected dropout rate would be added to the sample size calculated from a mathematical equation. This paper proposes new equations for calculating sample size dealing with dropouts. Since we observe data longitudinally in most clinical trials, we can use a last observation to impute for missing one in the intention to treat (ITT) trials, and this technique is called last observation carried forward(LOCF). But LOCF might make deviations on the assumed variance and effect size, so that we could not guarantee the power of test with the sample size obtained from the existing equation. This study suggests the formulas for sample size involving information about dropouts and shows the properties of the proposed method in testing equality of means.

• The Journal of the Korea Contents Association
• /
• v.19 no.1
• /
• pp.1-15
• /
• 2019

One of the biggest difficulties in the vocational training field is the dropout problem. A large number of students drop out during the training process, which hampers the waste of the state budget and the improvement of the youth employment rate. Previous studies have mainly analyzed the cause of dropouts. The purpose of this study is to propose a machine learning based model that predicts dropout in advance by using various information of learners. In particular, this study aimed to improve the accuracy of the prediction model by taking into consideration not only structured data but also unstructured data. Analysis of unstructured data was performed using Word2vec and Convolutional Neural Network(CNN), which are the most popular text analysis technologies. We could find that application of the proposed model to the actual data of a domestic vocational training institute improved the prediction accuracy by up to 20%. In addition, the support vector machine-based prediction model using both structured and unstructured data showed high prediction accuracy of the latter half of 90%.

• The Korea Swine Journal
• /
• v.10 no.12 s.112
• /
• pp.38-39
• /
• 1988

육우도 쇠고기 수입이 서서히 증가하면서 서서히 탈락해 갈 것이다. 급격히 늘어나면 서서히가 아닌 '84년 소파동 때처럼 일시에 탈락하는 농민이 많아져 문제가 될것이 틀림없다.

• Annual Conference on Human and Language Technology
• /
• 1995.10a
• /
• pp.264-280
• /
• 1995

한 문장의 주어가 우리말에서처럼 수의적으로 나타날 수 있는가 혹은 영어에서처럼 반드시 표면에 나타나야 하는가에 따라 공주어언어 (null-subject language)와 비공주어언어(non-null-subject language)로 분류된다. 이러한 주어 탈락 현상에 대하여 이론적으로 다양한 가설이 제기되어 왔다. 본 논문에서는 한국어의 언어 습득 자료에 나타나는 주어 탈락의 양상을 살피고, 이를 비공주어언어인 영어자료와 공주어언어인 이탈리아어, 포르투갈어, 중국어자료와 비교함으로써 궁극적으로 이론적 가설을 비교 평가하는 데 이바지하고자 한다.

• Proceedings of the KIEE Conference
• /
• 2004.07d
• /
• pp.2269-2271
• /
• 2004

터빈-발전기가 안정적인 운전상태에서 갑자기 부하를 상실하면 속도가 상승하게 된다. 탈락되는 부하의 크기가 클수록 속도 상승은 문제가 된다. 본 논문은 발전기 부하 탈락 시의 에너지 불 평형과 속도 상승, 그리고 과속을 예측하여 미리 터빈 증기를 차단하는 제어방식 그리고 안정도 향상 방안에 대하여 고찰한 내용을 정리한 것이다.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
• /
• 2011.11a
• /
• pp.522-525
• /
• 2011

3상 4선식 배선 라인에서 중성선이 탈락할 경우 부하측의 중선선에 연결된 일부의 부하측 전압은 급상승하게 되고 이로 인한 피해가 많으므로 본 연구에서는 배전라인의 점검시 또는 접촉 불량에 의하여 발생할 수 있는 중성선의 탈락을 순간 감지하고 이를 보상하여 별도로 중성선을 생성하여 새로운 중성선을 순간 제공함으로서 중성선 탈락에 의한 피해를 최대한 억제하고자 하는 것이다. 이로 인하여 부하측의 전압상승에 의한 전기적 재해를 사전에 미리 예방이 가능한 효과도 있게 된다.