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Predicting Exchange Rates with Modified Elman Network (수정된 엘만신경망을 이용한 외환 예측)

  • Beum-Jo Park
    • Journal of Intelligence and Information Systems
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    • v.3 no.1
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    • pp.47-68
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    • 1997
  • This paper discusses a method of modified Elman network(1990) for nonlinear predictions and its a, pp.ication to forecasting daily exchange rate returns. The method consists of two stages that take advantages of both time domain filter and modified feedback networks. The first stage straightforwardly employs the filtering technique to remove extreme noise. In the second stage neural networks are designed to take the feedback from both hidden-layer units and the deviation of outputs from target values during learning. This combined feedback can be exploited to transfer unconsidered information on errors into the network system and, consequently, would improve predictions. The method a, pp.ars to dominate linear ARMA models and standard dynamic neural networks in one-step-ahead forecasting exchange rate returns.

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Effects of Bacterial Lipopolysaccharide on Prostaglandin Production in Primary Cultured Rat Vascular Smooth Muscle Cells (일차 배양 랫드 혈관 평활근 세포에서 Prostaglandin 생성에 미치는 Bacterial Lipopolysaccharide의 작용 특성)

  • 이수환
    • Journal of Food Hygiene and Safety
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    • v.11 no.4
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    • pp.227-234
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    • 1996
  • This study was designed to characterize endotoxin-induced prostaglandin production in primary cultured rat vascular smooth muscle cells (VSMC). The time course for prostaglandin synthesis in lipopolysaccharide (LPS)-stimulated VSMC showed that the maximum production was reached in 12 hours. LPS induced prostaglandin H2 synthase (PGHS) activity in VSMC and the time course profile in the changes of PGHS activity paralleled that of total prostaglandin production. Differential treatment showed that 4 hours' exposure to LPS was enough for the maximum effect on the prostaglandin production and this effect was completely inhibited by the co-treatment of actinomycin D, a transcription inhibitor. These results suggest that LPS effect might be determined within 4 hours. Actinomycin D increased PGHS activity without affecting prostaglandin production if added 4 hours after LPS treatment. On the other hand, cyclogeximide, a translation inhibitor, augmented LPS-induced prostaglandin production if treated during first four hours, but it inhibited LPS-induced PGHS activity regardless of treatment schedule. These results suggest the existence of multiple regulating mechanisms in the LPS-induced prostaglandin synthesis.

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A Study on the Relationship between Lecture Time and Academic Achievement in College Mathematics Courses (대학 교양수학에서 수업시간대와 학업성취도의 관계 연구)

  • Na, Kwangsoo;Kim, Dongho;Kim, Jaeduck;Shim, Hojin;Moon, Eunho
    • Journal of Engineering Education Research
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    • v.22 no.3
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    • pp.41-48
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    • 2019
  • The purpose of this study is to examine how academic achievement in college math courses differ depending on when the course takes place. As a result, based on years of data analyses on students' academic achievement, it was affirmed that achievement levels differ due to environmental factors despite the diverse efforts of instructors and students. By further analyzing the causes of these differences, this study suggests solutions for improving the different academic achievement levels.

Investigating Educational Effects of Flipped Learning in Real-time Online Programming Course (실시간 온라인 프로그래밍 교육에서 플립러닝의 학습효과 연구)

  • Kim, Ji Sim;Ahn, You Jung;Kim, Kyoung Ah
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.07a
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    • pp.591-592
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    • 2020
  • 본 연구에서는 코로나19 사태로 인해 대학교육에서 전면적으로 실시되고 있는 온라인 강의 환경에서 플립러닝의 학습효과를 규명하였다. 실시간 온라인 프로그래밍 수업에서 85명의 학습자를 대상으로 설문을 분석한 결과, 학습내용이해도에 대해서는 학습활동의 적절성이, 만족도에 대해서는 교수자지원과 학습내용의 적절성이, 역량향상도에 대해서는 교수자지원이 유의한 영향을 미치는 것으로 나타났다. 연구결과를 바탕으로 프로그래밍교육을 위한 실시간 온라인 강의에서 플립러닝 설계 및 운영 전략에 대한 시사점을 제언하였다.

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The Effects of Imagery Training on Outcomes of Clinical Competence, Voluntary Practice Time and Nursing Skills (이미지 상상훈련을 적용한 핵심기본간호술 실습교육이 간호대학생의 임상수행능력, 자율실습시간에 미치는 효과)

  • Kim, Su youn
    • The Journal of Korean Academic Society of Nursing Education
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    • v.23 no.1
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    • pp.76-85
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    • 2017
  • Purpose: The aim of this study was to explore the effects of imagery training on outcomes of clinical competence, voluntary practice time and basic nursing skills performance during a core basic nursing skills course. Methods: The design was a pre-post test design with two groups consisting of 88 nursing 3rd-year students. Clinical competence was assessed with a pre-post test, and basic nursing skills' performance and voluntary practice time were assessed at the post-test point. Data were collected from March, 2016 to June, 2016. Results: The pre-post differences of all subcategories of clinical competence were significantly improved in the experimental group (p<.05). but the control group did not show significant differences in the teaching/coordinating and professional development areas (p>.05). The experimental group practiced 1.33 hours more than the control group in voluntary practice. The two groups showed no significant difference in basic nursing skills' performance (p>.05). Conclusion: Imagery training during a core basic nursing skills course showed positive effects on nursing students' clinical competence improvement and increase of voluntary practice time.

Oxidative Degradation of a Drug during the Course of Diffusion Across the Skin

  • Choi, Hoo-Kyun
    • Archives of Pharmacal Research
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    • v.20 no.6
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    • pp.637-642
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    • 1997
  • Degradation of a compound with a hydroxyl group during the course of its diffusion across the skin was investigated. Based on the experimental findings of ashortened retention time of a degradant peak from post-diffusion samples and from the ability to evaporate radioactivity from such samples, it seems that during diffusion the parent compound degrades into a more hydrophilic product which is then oxidized. A tritium label at the carbon with a hydroxyl group was released as a tritiated water. When the post-diffusion samples were left open to the air allowing evaporation of water, there was a corresponding decrease in radioactivity of such samples. There was a linear relationship between the time left open and the fraction of radioactivity lost. When such samples were fractionated by HPLC, and then had their radioactivities measured by scintillation counting, two peaks wre identified. The first peak, which may be attributable to tritiated water, was eluted at the same retention time as the solvent front. The second peak eluted at the retention time of the parent compound. When the evaporation/loss of radioactivity experiment was repeated using a $^{14}C$-labeled compound there was no significant loss of radioactivity, indicating that the earlier loss with $^{3}H$-labeled compound was related to the formation and loas sof tritiated water.

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Ontology-based Course Mentoring System (온톨로지 기반의 수강지도 시스템)

  • Oh, Kyeong-Jin;Yoon, Ui-Nyoung;Jo, Geun-Sik
    • Journal of Intelligence and Information Systems
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    • v.20 no.2
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    • pp.149-162
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    • 2014
  • Course guidance is a mentoring process which is performed before students register for coming classes. The course guidance plays a very important role to students in checking degree audits of students and mentoring classes which will be taken in coming semester. Also, it is intimately involved with a graduation assessment or a completion of ABEEK certification. Currently, course guidance is manually performed by some advisers at most of universities in Korea because they have no electronic systems for the course guidance. By the lack of the systems, the advisers should analyze each degree audit of students and curriculum information of their own departments. This process often causes the human error during the course guidance process due to the complexity of the process. The electronic system thus is essential to avoid the human error for the course guidance. If the relation data model-based system is applied to the mentoring process, then the problems in manual way can be solved. However, the relational data model-based systems have some limitations. Curriculums of a department and certification systems can be changed depending on a new policy of a university or surrounding environments. If the curriculums and the systems are changed, a scheme of the existing system should be changed in accordance with the variations. It is also not sufficient to provide semantic search due to the difficulty of extracting semantic relationships between subjects. In this paper, we model a course mentoring ontology based on the analysis of a curriculum of computer science department, a structure of degree audit, and ABEEK certification. Ontology-based course guidance system is also proposed to overcome the limitation of the existing methods and to provide the effectiveness of course mentoring process for both of advisors and students. In the proposed system, all data of the system consists of ontology instances. To create ontology instances, ontology population module is developed by using JENA framework which is for building semantic web and linked data applications. In the ontology population module, the mapping rules to connect parts of degree audit to certain parts of course mentoring ontology are designed. All ontology instances are generated based on degree audits of students who participate in course mentoring test. The generated instances are saved to JENA TDB as a triple repository after an inference process using JENA inference engine. A user interface for course guidance is implemented by using Java and JENA framework. Once a advisor or a student input student's information such as student name and student number at an information request form in user interface, the proposed system provides mentoring results based on a degree audit of current student and rules to check scores for each part of a curriculum such as special cultural subject, major subject, and MSC subject containing math and basic science. Recall and precision are used to evaluate the performance of the proposed system. The recall is used to check that the proposed system retrieves all relevant subjects. The precision is used to check whether the retrieved subjects are relevant to the mentoring results. An officer of computer science department attends the verification on the results derived from the proposed system. Experimental results using real data of the participating students show that the proposed course guidance system based on course mentoring ontology provides correct course mentoring results to students at all times. Advisors can also reduce their time cost to analyze a degree audit of corresponding student and to calculate each score for the each part. As a result, the proposed system based on ontology techniques solves the difficulty of mentoring methods in manual way and the proposed system derive correct mentoring results as human conduct.

Curve Clustering in Microarray

  • Lee, Kyeong-Eun
    • Journal of the Korean Data and Information Science Society
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    • v.15 no.3
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    • pp.575-584
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    • 2004
  • We propose a Bayesian model-based approach using a mixture of Dirichlet processes model with discrete wavelet transform, for curve clustering in the microarray data with time-course gene expressions.

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Biochemical Changes and Recovery After Half-course Marathon (하프코스 마라톤 후 체내의 생화학적 변화 및 회복)

  • Choi, Chang-Hyuk;Lee, Hyun-Sub;Seo, Hun-Suk;Kim, Sang-Kyung;Shin, Im-Hee
    • Journal of Korean Orthopaedic Sports Medicine
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    • v.7 no.1
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    • pp.45-49
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    • 2008
  • Purpose: To evaluate the recovery time of biochemical changes of body after half-course marathon running. Materials and methods: Thirteen amateur half course marathon runners (12 males and 1 females) were studied. Their average age was 44 years old (range: $38{\sim}54$). Biochemical parameters with blood test including AST, ALT, CK-MB, Treponin, BUN, Cr Na, K were evaluated at finish line, 2nd days, 2nd weeks after running. Results: All the biochemical changes were within normal range throughout recovery time, AST reached its maximum level at finish line and continued until 2nd day after running and returned its pre-running level at 2nd week's test. CK-MB reached its maximum level 2nd day after running and recovered at 2nd week's test. Na, K, BUN and Cr reached to the maximum level at finish line, and recovered to pre-running level at 2nd day's test. Conclusion: In case of half-course marathon, the changes of the kidney enzymes due to dehydration were recovered after 2nd day. And the biochemical indicators of muscle fatigue recovered after 2nd week. It needs at least 2 weeks rest after half-course marathon to recover all the biochemical parameter of the body.

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Searching for Anions in the Aerosol around Jeju Samdasu Forest Environments (제주 삼다수 숲길 주변 대기질의 음이온 탐색)

  • Sin, Bang Sik;Lee, Jae H.;Song, Kyu J.;Lee, Hyung H.
    • Journal of Naturopathy
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    • v.10 no.2
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    • pp.114-119
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    • 2021
  • Background: Many anionic phytoncides exist in the forest. Purpose: This study aimed to measure and investigate the number of negative ions in aerosol composition in Samdasu Forest, Jeju. Methods: We counted the number of negative ions in the aerosol with an anion meter at 17 points in the Samdasu forest area. Results: The average number of negative ions measured at 17 points in the aerosol of the Samdasu forest area was 719.7 ions/cm3, the temperature was 25.2℃, the humidity was 80.9%, the altitude was 503 m, and the wind speed was 0.6 m/sec. When looking at the content of anion number in the air quality in order, the highest place was waterfall-entrance-course R-course B- pine forest- course exit> exit wetland. The highest altitude of the collection point was in the order of pine forest-course R-course exit-waterfall-course B- exit wetland-entrance. The elevation difference in elevation was statistically significant. There was no correlation between altitude and anion content. It could be seen that the air quality fluctuates from time to time. Conclusions: A large amount of anionic phytoncide was contained in the air quality in Samdasu Forest in the over results. Therefore, Samdasu Forest is a helpful area as a place to visiting. The visit to the Jeju region, which has a high content of anionic phytoncide, has provided essential information that it has beneficial conditions for health management.