• Journal of Society of Preventive Korean Medicine
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• v.22 no.1
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• pp.91-105
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• 2018

Objectives : The purpose of this study was to introduce the case of using eCRF system in the Smoking Cessation Program project in Vietnam (2017). And aimed to derive the usefulness of the eCRF system and it potential for future global health business. Method : Introduce the smoking cessation program in vietnam (2017). Smoking Cessation was conducted in three provices of central vietnam Tamphu, Binhtu, Duytrinh) and eCRF was developed on the web environment by building AMP(Apache, PHP, MySQL). Dedicated application have also been developed for user. Result : Using the eCRF, the results of the program of the smoking cessation participants were recorded on the Database server. The implemented system focused on the role of a case recording platform that was simplified in function rather than an electronic version of the case report. It was useful for monitoring. Conclusions : The eCRF system was useful in global health business, and upgrading the system to reflect the feedback derived from the project could potentially be used in other projects. In addition, there are few cases where ICT is used in overseas health promotion projects using Oriental medicine, so further research is needed.

• The Korea Journal of Herbology
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• v.25 no.4
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• pp.61-67
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• 2010

Objectives : For the purpose of verifying the anti-depressant effect of Paeoniae Radix Rubra(PR), the expression of corticotropin-releasing factor(CRF), c-Fos and tyrosine hydroxylase(TH) was evaluated after performing the Forced Swimming Test(FST). Methods : Spraque-Dawley rats were ingested PR extract(100mg/kg, 400mg/kg, p.o.) for 3 times prior to FST. And the expression of corticotropin-releasing factor(CRF), c-Fos in the paraventricular nucleus(PVN) and tyrosine hydroxylase(TH) in the locus coelureus(LC) and ventral tegmental area(VTA) was measured immunohistochemically after FST. Results : The duration of immobility was significantly decreased in PR 100mg/kg Group and PR 400mg/kg Group, in comparison with the control group (p<0.001). The expression of CRF in the PVN was significantly decreased in PR 400mg/kg Group in comparison of the control group (p<0.05). The expression of c-Fos in the PVN was rather significantly increased in PR 100mg/kg Group in comparison with the control group, while almost no change was demonstrated in PR 400mg/kg Group. The expression of TH was significantly decreased in VTA in comparison with the control group (p<0.05), but the number of expression cells in LC was slightly decreased in case of PR 100mg/kg group while it was increased in case of PR 400mg/kg Group. Conclusion : Judging from the result of the aforementioned tests, Paeoniae Radix Rubra has decreased immobility. In addition, it has also decreased the expression of CRF and the expression of TH in VTA, while the expression of c-Fos and of TH in LC has no significance. Therefore, it is believed that Paeoniae Radix Rubra has an anti-depressant effect by decreased immobility through the reduced expression of CRF and TH in VTA.

• Asian-Australasian Journal of Animal Sciences
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• v.13 no.11
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• pp.1529-1535
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• 2000

The aim of the present study was to determine whether brain corticotropin-releasing factor (CRF) and a new peptide, urocortin (UCN) have a direct action in brain mechanisms controlling feed, water and salt intake in sheep. We gave a continuous intracerebroventricular (ICV) infusion of the peptide at a small dose of $5{\mu}g/0.2ml/hr$ for 98.5 hrs from day 1 to day 5 in sheep not exposed to stress. Feed and water intake during ICV infusion of CRF or UCN decreased significantly compared to those during artificial cerebrospinal fluid (CSF) infusion. NaCl intake during infusion of CRF or UCN was the same as that during CSF infusion. Mean carotid arterial blood pressure (MAP) and heart rate during ICV infusion of CRF or UCN were not significantly different from that during CSF infusion. On the other hand, the plasma glucose concentration during ICV infusion of CRF or UCN tended to be higher than that during CSF infusion. These observations indicate that decreased feed intake induced by CRF and UCN infusion is not mediated by the activation of both the pituitary-adrenal axis and the sympathetic nervous system. The results suggested that brain CRF and UCN act directly in brain mechanisms controlling ingestive behavior to decrease feed and water intake, but do not alter salt intake in sheep.

• Journal of Environmental Health Sciences
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• v.43 no.3
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• pp.202-213
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• 2017

Objectives: HRA (Health Risk Assessment) is an important tool for measuring the health impacts of air pollution. HRA is already being used widely as an important reference for crafting air pollution policies. However, the absence of a domestic CRF (Concentration Response Function) standard, which is a main component for HRA, could cause confusion amongst policy-makers. The purpose of this study is to tabulate a domestic CRF standard for a PM (Particulate Matter)-related HRA. Methods: This study suggested a domestic CRF standard for HRA thorough a literature review. The literature review for meta-analysis was limited to the English language for epidemiological studies published from January 1980 to March 2016. This meta-analysis was conducted by assuming both fixed- and random-effects of CRF. In addition, studies that reported HRA of air pollution for WHO (World Health Organization), the EC (European Commission), and the EPA (Environmental Protection Agency) were reviewed to compare the CRFs of South Korea to the recommended CRFs of WHO, the EC, or the EPA. Additionally, a domestic CRF standard was supplemented by these. Results: Nineteen studies were selected for the CRF for South Korea. Fifty-three CRFs were derived for meta-analysis. CRFs with a standard for PM-related HRA were divided according to the following four criteria: air pollution, exposure characteristics, type of health impact, and age group. Finally, a domestic CRF standard was created comprised of 21 CRFs. Among these, six CRFs were derived from the results of foreign HRA studies. Conclusions: This study is important in that a domestic CRF standard is first suggested. In addition, this study suggests a further area of study for using HRA as a policy tool and a direction of epidemiological study.

• Journal of Neurogastroenterology and Motility
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• v.24 no.4
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• pp.669-675
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• 2018

Background/Aims Functional dyspepsia (FD) and irritable bowel syndrome (IBS) are common gastrointestinal (GI) disorders and these patients frequently overlap. Trimebutine has been known to be effective in controlling FD co-existing diarrhea-dominant IBS, however its effect on overlap syndrome (OS) patients has not been reported. Therefore, we investigated the effect of trimebutine on the model of OS in guinea pigs. Methods Male guinea pigs were used to evaluate the effects of trimebutine in corticotropin-releasing factor (CRF) induced OS model. Different doses (3, 10, and 30 mg/kg) of trimebutine were administered orally and incubated for 1 hour. The next treatment of $10{\mu}g/kg$ of CRF was intraperitoneally injected and stabilized for 30 minutes. Subsequently, intragastric 3 mL charcoal mix was administered, incubated for 10 minutes and the upper GI transit analyzed. Colonic transits were assessed after the same order and concentrations of trimebutine and CRF treatment by fecal pellet output assay. Results Different concentrations (1, 3, and $10{\mu}g/kg$) of rat/human CRF peptides was tested to establish the OS model in guinea pigs. CRF $10{\mu}g/kg$ was the most effective dose in the experimental OS model of guinea pigs. Trimebutine (3, 10, and 30 mg/kg) treatment significantly reversed the upper and lower GI transit of CRF induced OS model. Trimebutine significantly increased upper GI transit while it reduced fecal pellet output in the CRF induced OS model. Conclusions Trimebutine has been demonstrated to be effective on both upper and lower GI motor function in peripheral CRF induced OS model. Therefore, trimebutine might be an effective drug for the treatment of OS between FD and IBS patients.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.47-52
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• 2018

Named Entity Recognition is a system that extracts entity names such as Persons(PS), Locations(LC), and Organizations(OG) that can have a unique meaning from a document and determines the categories of extracted entity names. Recently, Bi-LSTM-CRF, which is a combination of CRF using the transition probability between output data from LSTM-based Bi-LSTM model considering forward and backward directions of input data, showed excellent performance in the study of object name recognition using deep-learning, and it has a good performance on the efficient embedding vector creation by character and word unit and the model using CNN and LSTM. In this research, we describe the Bi-LSTM-CNN-CRF model that enhances the features of the Korean named entity recognition system and propose a method for constructing the traditional culture corpus. We also present the results of learning the constructed corpus with the feature augmentation model for the recognition of Korean object names.

• 한국어정보학회:학술대회논문집
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• 2016.10a
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• pp.3-8
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• 2016

형태소 분석기는 많은 자연어 처리 영역에서 필수적인 언어 도구로 활용되기 때문에 형태소에 대한 품사를 결정하는 것은 매우 중요하다. 최근 음절 기반으로 형태소의 품사를 태깅하는 방법에 대한 연구들이 많이 진행되고 있다. 음절 단위 형태소 분석은 음절 단위로 분리된 형태소에 대해서 기계학습을 이용하여 분리된 음절 단위로 품사를 태깅하는 단계를 가진다. 본 논문에서는 기존의 CRF를 이용한 음절 단위 품사 태깅 방법을 개선하기 위해 bi-LSTM-CRFs를 이용한 방법을 제안한다. 또한, bi-LSTM-CRFs의 입력을 음절의 품사 분포 벡터를 이용해 확장함으로써 음절 단위 품사 태깅의 성능을 향상 시켰다.

• MALSORI
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• no.57
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• pp.139-152
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• 2006

In this paper, we present a phrase break prediction method using CRF(Conditional Random Fields), which has good performance at classification problems. The phrase break prediction problem was mapped into a classification problem in our research. We trained the CRF using the various linguistic features which was extracted from POS(Part Of Speech) tag, lexicon, length of word, and location of word in the sentences. Combined linguistic features were used in the experiments, and we could collect some linguistic features which generate good performance in the phrase break prediction. From the results of experiments, we can see that the proposed method shows improved performance on previous methods. Additionally, because the linguistic features are independent of each other in our research, the proposed method has higher flexibility than other methods.

• Journal of Korean Institute of Industrial Engineers
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• v.41 no.1
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• pp.10-16
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• 2015

In this study, we suggest a method to predict probability distribution of a new customer's degree of loyalty using C-CRF that reflects the RFM score and similarity to the neighbors of the customer. An RFM score prediction model is introduced to construct the first feature function of C-CRF. Integrating demographical similarity, purchasing characteristic similarity and purchase history similarity, we make a unified similarity variable to configure the second feature function of C-CRF. Then parameters of each feature function are estimated and we train our C-CRF model by training data set and suggest a probabilistic distribution to estimate a new customer's degree of loyalty. An example is provided to illustrate our model.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.605-607
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• 2018

본 논문에서는 음절 임베딩과 양방향 LSTM-CRF 모델을 이용한 한국어 문장 자동 띄어쓰기 시스템을 제안한다. 문장에 대한 자질 벡터 표현을 위해 문장을 구성하는 음절을 Unigram 및 Bigram으로 나누어 각 음절을 연속적인 벡터 공간에 표현하고, 양방향 LSTM을 이용하여 현재 자질에 양방향 자질들과 의존성을 부여한 새로운 자질 벡터를 생성한다. 이 새로운 자질 벡터는 전방향 신경망과 선형체인(Linear-Chain) CRF를 이용하여 최적의 띄어쓰기 태그 열을 예측하고, 생성된 띄어쓰기 태그를 기반으로 문장 자동 띄어쓰기를 수행하였다. 문장 13,500개와 277,718개 어절로 이루어진 학습 데이터 집합과 문장 1,500개와 31,107개 어절로 이루어진 테스트 집합의 학습 및 평가 결과는 97.337%의 음절 띄어쓰기 태그 분류 정확도를 보였다.