• Title/Summary/Keyword: 학습회수

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배양액이 마우스 핵이식 재구축배의 초기발생에 미치는 영향

  • 심보웅;권오용;이은화;김순희;서정선
    • Proceedings of the Korean Society of Embryo Transfer Conference
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    • 2002.11a
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    • pp.76-76
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    • 2002
  • 본 실험은 Piezo-미세조작기(PrimeTech Ltd., Japan)를 사용하여 마우스 핵이식 후 재구축배를 CZB와 KSOM 두가지 배양액을 사용하여 체외배양성적을 비교 검토하였다. MII의 미수정란은 성숙한 4~5주령 B6D2Fl에 hCG 주사 후 14시간째에 과적 방법을 통해 난관의 팽대부로 부터 회수하였고, metaphase II chromosome-spindle complex와 최소량의 세포질을 내경이 10$\mu\textrm{m}$인 피펫으로 흡입하여 탈핵하였다. 핵이식에 사용된 난구세포(8-l0$\mu\textrm{m}$)는 3시간동안 12% PVP 에처리 하여 piezo-미세조작기를 이용하여 세포질에 세포의 핵을 직접 미세주입 하였다. 핵이식 후 생존한 재구축배는 2시간동안 배양한 후 10mM SrC1$_2$와 5$\mu\textrm{g}$/$m\ell$의 cytochalasin B가 첨가된 $Ca^{2+}$-free CZB에서 6시간 활성화 처리하였다, 활성화 처리 후 위전핵이 관찰된 재구축란을 CZB 와 KSOM 배지에서 배양하면서 발달률을 비교하였고, 상실배 및 배반포배로 발달한 재구축배를 day 3 대리모에 이식하였다. 표 1에서 보는 바와 같이 재구축배의 2-cell로의 발달률에 있어서 KSOM이 CZB에 비하여 유의적으로 높게 나타났으며(P<0.05), 또한 4-cell과 상실배/배반 포배로의 발달률에 있어서도 KSOM이 CZB에 비하여 유의적으로 높은 발달률을 나타내었다(P<0.01). 또한 KSOM 배지에서 배양된 상실배/배반포배를 대리모에 이식한 경우에 11.5 d.p.c에 생존한 태아가 관찰되었다. 이상의 결과로 핵이식 재구축배의 활성화 처리 후의 발생에는 KSOM 배지가 CZB 배지에 비하여 유효함을 확인 할 수 있었다.그와 같은 배양 기술을 이용하여 외래유전자를 도입한 일련의 결과에 관하여 보고 하고자한다., 이것은 세포내 유전자가 transfection되지 않은 세포도 neo selection에서 선발된다는 것을 제시하고 있다. 따라서 체세포를 이용한 형질전환동물 생산을 위해서는 세포내 유전자 도입과 선발 과정에서 나타난 colony에 대하여 보다 엄격한 screen을 하는 것이 필요한 것으로 생각된다.로 우점하였다. 여름철 식물플랑크톤 대발생에 영향은 수온과 직산염이 중요하였으나, 부유물질 크게 기여하지 못하였다.애를 확인하고 지도 관점을 파악하는 것을 포함한다. 그러나 본 논문은 역사발생적 수학 학습-지도 원리의 실제적인 적용에 관하여는 기초적인 연구에 지나지 않기 때문에, 역사발생적 원리를 학교수학에 실제적으로 적용하기 위해서는 각각의 내용에 대한 철저한 역사적 분석을 바탕으로 하는 후속 연구가 필요하다./TEX>구성교육${\lrcorner}$이 조선총독부의 관리하에서 실행되었다는 것을, 당시의 사범학교를 중심으로 한 교육조직을 기술한 문헌에 의해 규명시켰다.nd of letter design which represents -natural objects and was popular at the time of Yukjo Dynasty, and there are some documents of that period left both in Japan and Korea. "Hyojedo" in Korea is supposed to have been influenced by the letter design. Asite- is also considered to have been "Japanese Letter Jobcheso." Therefore, the purpose of this study is to look into the origin of the letter designs in t

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Teacher's Recognition and Needs about STEAM Education in Specialized High Schools for Technical fields (공업계열 특성화고 교사의 STEAM 교육에 대한 인식과 요구도)

  • Sung, Yong-Gu;Kim, Bang-Hee;Kim, Jinsoo
    • 대한공업교육학회지
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    • v.38 no.2
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    • pp.68-88
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    • 2013
  • This study is to analyze teacher's recognition and needs of STEAM education in specialized high schools for technical fields. For this study, survey using questionnaire was applied to teachers in specialized high schools for technical fields. This study includes the recognition and the needs on STEAM education of general and industrial subject teachers in specialized high schools for technical fields. In order to carry on this study, 655 questionnaires were collected from teachers of 16 specialized high schools for technical fields in the whole country. Practically, 611 questionnaires (257 of normal subject teachers and 398 of industrial subject teachers) were used for this study. As a result, it is known that the needs of STEAM education is larger to industrial subject teachers than general subject teachers. But it is disclosed that STEAM education is more difficult to general subject teachers than industrial subject teachers. In requirements of teaching-learning, general subject teachers only required reference materials, but industrial subject teachers needed STEAM lesson under the same subjects and data sharing system as a priority. General and industrial subject teachers also considered education program development for creative thinking skills and problem solving abilities as a priority. Finally, in the administrative and financial requirement, both of them demand to reduce administrative tasks as a priority.

Continuing Education for the Library and Information Professionals : Present Situation and Need Assessment (문헌정보전문직을 위한 계속교육에 관한 연구 : 현황과 요구분석)

  • Chang Hye-Rhan
    • Journal of the Korean Society for Library and Information Science
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    • v.31 no.1
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    • pp.7-28
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    • 1997
  • To investigate the present states and analyze the need of continuing education, a survey was done to the library and information professionals. Based on the personal membership file of the Korean Library Association, 292 members were selected using $25\%$ systematic sampling method. Questionnaires were mailed to them and $80\%$ returned. Of the total respondents. $90\%$ want to participate continuing education, however only $50\%$have a formal continuing education experience during last 3 years. Informal educational efforts are also weak and show much individual differences. $67\%$ of the libraries encourage continuing education but only $25\%$ of the respondents were provided with time and money for participation. The most favored mode of the continuing education Is one week course specialized In particular topic$(31.1\%)$ or area$(25.5\%)$. New methods, such as CD-ROM. online etc. were also preferred. Respondents regard professional association, society, and the library Information science department of university as desirable leading organization for continuing education. Among the 16 possible topics to be educated, respondents showed substantially higher Interest(more than $50\%$) In 5topics, and there were significant need differences In 7 topics among groups divided by library type.

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A Personalized Product Recommendation Agent on Mobile Internet (무선인터넷 환경에서의 개인화상품추천에이전트)

  • 이승화;이은석
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04b
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    • pp.145-147
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    • 2004
  • 본 논문에서는 무선인터넷 환경에 적합한 개인화된 상품추천에이전트를 제안한다. 기존에 유선인터넷상의 많은 개인화 추천시스템에서는 초기 사용자 모델링을 위해 사용자에게 수많은 질의를 하고 응답을 요구하였다. 그러나 이러한 방식은 무선인터넷 환경에서 정보 전송량에 따른 높은 사용요금을 고려할 때 적용하기 힘든 방식이다. 본 제안 시스템은 사용자의 Social data률 이용하여 사용자를 비슷한 연령과 성별 그룹으로 나누고, 해당 그룹에서 구매율이 높은 상품을 우선 제시한 후, 사용자 행동을 모니터링 하여 암시적(Implicit)피드백을 통해 프로파일을 생성함으로써, 번거로운 질의-응답 과정 없이도 초기 사용자 모델링을 수행할 수 있다. 프로파일 생성 이후에는 이를 기반으로 하여 사용자몰 유사한 취향을 가진 그룹으로 다시 군집화한 후 협력적 추천을 하게 되며, 프로파일에는 해당 상품의 최종 카테고리명과 키워드를 수집함으로써, 상품의 브랜드와 규격정보를 반영한 추천이 가능하다. 또한 추천 상품과 사용자의 구매데이터와의 비교를 수행하여 사용자가 해당상품을 구매하였을 경우, 상품에 대한 취향정보는 그대로 유지하고 관련 상품을 추천하되, 구매한 상품이 중복 추천되지 않도록 하였다. 시스템 평가를 위해 프로토타입을 구현하여, 다수의 사용자에게 시스템을 이용하며 관심품목을 체크하도록 하였고. 추천횟수가 반복되며 히트율이 증가하는 결과를 통해 시스템의 학습속도와 성능을 평가하였다. 그리고 쇼핌몰에서 구매경험이 있는 사용자의 기존 구매데이터와 Social data를 이용한 초기 제시상품을 역으로 비교하여 오랜 시간과 비용 발생 없이도 초기 프로파일 생성의 유효성을 증명하였다. 포함하는 XML 질의에 대해서도 웹에서 캐쉬를 이용한 처리가 효율적임을 확인하였다.키는데 목적이 있다.RED에 비해 향상된 성능을 보여주었다.웍스 네트워크상의 다양한 디바이스들간의 네트워크 다양화와 분산화 기능을 얻을 수 있었고, 기존의 고가의 해외 솔루션인 Echelon사의 LonMaker 소프트웨어를 사용하지 않고도 국내의 순수 솔루션인 리눅스 기반의 LonWare 3.0 다중 바인딩 기능을 통해 저 비용으로 홈 네트워크 구성 관리 서버 시스템 개발에 대한 비용을 줄일 수 있다. 기대된다.e 함량이 대체로 높게 나타났다. 점미가 수가용성분에서 goucose대비 용출함량이 고르게 나타나는 경향을 보였고 흑미는 알칼리가용분에서 glucose가 상당량(0.68%) 포함되고 있음을 보여주었고 arabinose(0.68%), xylose(0.05%)도 다른 종류에 비해서 다량 함유한 것으로 나타났다. 흑미는 총식이섬유 함량이 높고 pectic substances, hemicellulose, uronic acid 함량이 높아서 콜레스테롤 저하 등의 효과가 기대되며 고섬유식품으로서 조리 특성 연구가 필요한 것으로 사료된다.리하였다. 얻어진 소견(所見)은 다음과 같았다. 1. 모년령(母年齡), 임신회수(姙娠回數), 임신기간(姙娠其間), 출산시체중등(出産時體重等)의 제요인(諸要因)은 주산기사망(周産基死亡)에 대(對)하여 통계적(統計的)으로 유의(有意)한 영향을 미치고 있어 $25{\sim}29$세(歲)의 연령군에서, 2번째 임신과 2번째의 출산에서 그리고 만삭의 임신 기간에, 출산시체중(出産時體重) $3.50{\sim}3.99kg$사이의 아

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Elementary School Teachers' Needs Assessments and Perceptions on School Education Program to Prevent Sexual Abuse to Children (아동 대상 성폭력 예방교육에 대한 초등 교사들의 요구 및 인식)

  • Yoon, Ji-Hyun
    • Journal of Korean Home Economics Education Association
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    • v.20 no.3
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    • pp.231-258
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    • 2008
  • The purpose of this study was to analyse the needs and recognitions of education to prevent children sexual abuse and to suggest the basic data for school prevent education program. For this purpose 1210 primary school teachers were suggested in Korea and finally 973 questionnaires were analysed. The results are as follows; First, fur the needs of education contents for children,'the reaction skills to crisis situation of sexual abuse' was most needed, and 'the types and cases of sexual abuse' and 'the legal regulations' were lowest. Second, for the recognitions of education forms for children, teachers thought the proper form that professional instructors outside school related sexual abuse in special education type, $1\sim2$ times per semester, to all years of children and parents. Third, the education contents and forms to prevent sexual abuse to children were significantly different by age, gender, carrier years, area for work, related training experience. Fourth, the retraining program chances for teachers and prevent education program for children using the National Common Basic Curriculum needs to be broad.

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The Effect of the Innovation Capability and the Absorptive Capacity on Market Orientation, Technology Orientation, and Business Performance of IT-BPO Firms (IT-BPO 기업의 혁신역량과 흡수역량 요인이 시장지향성, 기술지향성 및 경영성과에 미치는 영향)

  • Kim, Wan-kang;Lee, So-young
    • Journal of Venture Innovation
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    • v.6 no.1
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    • pp.115-137
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    • 2023
  • This study analyzed the relationship between organizational innovative capability and absorptive capacity, market and technology orientations, and their impact on business performance for IT-BPO companies that are required to absorb new technologies from a leading perspective in the digital transformation era. To achieve this, an online specialized research company and offline surveys were conducted on 291 domestic IT-BPO companies, and SPSS 23 was used for descriptive statistics and reliability analysis while AMOS 23 was used for hypothesis testing including validity and mediating effects. The main findings were as follows: First, in the relationship between innovation and absorptive capabilities and Market Orientation Strategic(MOS), learning capability and knowledge network capability were found to have a statistically significant positive (+) effect on MOS. In the relationship between innovation and absorptive capabilities and Technology Orientation Strategic(TOS), R&D capability, potential absorptive capacity, and realized absorptive capacity had a statistically significant positive (+) effect on TOS. Second, in the relationship between innovation and absorptive capabilities and BP, only R&D capability was found to have a significant effect on BP. Third, both market orientation and technology orientation were found to have a significant positive (+) effect on BP. These findings suggest that effective competency factors can be identified according to the market and technology orientations pursued by IT-BPO companies to increase their growth and value creation, and provide implications for developing differentiated competency enhancement strategies based on strategic objectives.

Problem-Finding Process and Effect Factor by University Students in an Ill-Structured Problem Situation (비구조화된 문제 상황에서 이공계 대학생들의 문제발견 과정 및 문제발견에 영향을 미치는 요인)

  • Kang, Eu-Gene;Kim, Ji-Na
    • Journal of The Korean Association For Science Education
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    • v.32 no.4
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    • pp.570-585
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    • 2012
  • The Korean national curriculum for secondary school emphasizes scientific problem solving. In line with the national curriculum, many educational studies have been conducted in relation to science education. The objects of these studies were well-defined and well-structured problems. The studies were criticized for overlooking ill-defined and ill-structured problems. Some research has dealt with problem finding in ill-structured problems, which is related to creativity. There is a need for a study of scientific problem finding process in an ill-structured problem situation, because this study will help teachers wanting to teach scientific problem-finding in an ill-structured problem situation. The objective of this study was to conduct an empirical study on the scientific problem finding process in an ill-structured problem situation. One task of scientific problem finding in an ill-structured problem situation was assigned to 92 university students; thereafter, 32 of them participated in the research through interviews. Results indicated that the scientific problem finding process depended on initial clues and tentative solutions. Initial clues were affected by students' experiences, such as major classes, films, and novels. Tentative solutions were influenced by background knowledge of the tasks. Students screened information browsed on the Internet. They applied some standards for selection, particularly emphasized reliability standards, which are supposed to be studied in other contexts. All the students used assumptions to make their problems appear probable, which could be a useful tool to articulate.

A Study on the actual conditions of the use of them and the moves to strengthen home economics resources for school lifelong education in home economics teachers' view (가정과교사가 인식한 학교 평생교육을 위한 가정과 자원의 활용 실태 및 활성화 방안)

  • Kim, Sung-Hee;Chae, Jung-Hyun
    • Journal of Korean Home Economics Education Association
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    • v.18 no.4 s.42
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    • pp.127-141
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    • 2006
  • The purpose of this study was to investigate the actual conditions of the use of them and the moves to strengthen home economics resources for school lifelong education for parents and local residents. This study conducted a systematic random sampling. Questionnaires were distributed to home economics teachers from 285 middle schools, 123 high schools, and 130 of them were sampled as the subjects of this study. The results of this study were as follows. First, home economics teachers were active participating school lifelong educational program. But according to the result of research on the actual condition, the proportion of taking part in it was low. More than half of home economics teachers who took part in program's lecturer were in charge of computer courses. So they didn't show their ability as expert. Also they were in charge of several works than roll of lecturers. It was mentioned too great a burden. There is little in-service training for meeting specialization for school lifelong education. They wanted to take part of lecturers of program and preferred hours of being over class. More than half of them had intended to obtain a lifelong educator's license. The part of elective courses for obtaining a lifelong educator's license is similar to home economics educational contents. So, they have an advantage of obtaining it. Second, one-fifth of school that gave school life education carried out program of related home economics. Mostly they had mothers of students-oriented programs on artistic and leisure. But this is that home economics teachers mentioned less important teaching at society in the future. They importantly mentioned program on children's education in now and the future. Parents of students and local residents also extremely wanted it. For differentiated school life education, quality of programs is important greatly. Third, the actual condition of practical room relating home economics is only practice to cook mostly. So they are reluctant to be open it because of being responsible for the results from using there. It is necessary to ameliorate there's facilities and to increase there's area. Fourth, home economics teachers want to improve their specialization through in-service training, to develop and diffuse programs of superior quality, and to get extra pay for overtime from the government.

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Characteristics of preschoolers' giftedness by parents' perception (부모의 지각에 의한 유아 영재의 발달 특성의 변화)

  • Yoon, Yeu-Hong
    • Journal of Gifted/Talented Education
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    • v.12 no.2
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    • pp.1-15
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    • 2002
  • The purpose of this study was to investigate the characteristics of preschoolers' giftedness by their parents' perception. Total 3 groups of 148 subjects from age 30 months to 6 years 10 months old young gifted children's parents participated. The major findings were as follows : (1) There were critical characteristics of preschoolers' giftedness by parents' perception, which were 'good memory', 'high curiosity', 'read and understand of math', 'enjoy of learning and high motivation', 'high concentration', reading books', 'verbal ability', 'creativity', 'questions', and 'independency', (2) These characteristics of preschoolers' giftedness showed more strong and intense as they got older, and (3) Some characteristics revealed more, but the other characteristics revealed less as they got older. These findings suggested the consideration of child's age as the reliable identification process of young gifted children.

Bankruptcy Forecasting Model using AdaBoost: A Focus on Construction Companies (적응형 부스팅을 이용한 파산 예측 모형: 건설업을 중심으로)

  • Heo, Junyoung;Yang, Jin Yong
    • Journal of Intelligence and Information Systems
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    • v.20 no.1
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    • pp.35-48
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    • 2014
  • According to the 2013 construction market outlook report, the liquidation of construction companies is expected to continue due to the ongoing residential construction recession. Bankruptcies of construction companies have a greater social impact compared to other industries. However, due to the different nature of the capital structure and debt-to-equity ratio, it is more difficult to forecast construction companies' bankruptcies than that of companies in other industries. The construction industry operates on greater leverage, with high debt-to-equity ratios, and project cash flow focused on the second half. The economic cycle greatly influences construction companies. Therefore, downturns tend to rapidly increase the bankruptcy rates of construction companies. High leverage, coupled with increased bankruptcy rates, could lead to greater burdens on banks providing loans to construction companies. Nevertheless, the bankruptcy prediction model concentrated mainly on financial institutions, with rare construction-specific studies. The bankruptcy prediction model based on corporate finance data has been studied for some time in various ways. However, the model is intended for all companies in general, and it may not be appropriate for forecasting bankruptcies of construction companies, who typically have high liquidity risks. The construction industry is capital-intensive, operates on long timelines with large-scale investment projects, and has comparatively longer payback periods than in other industries. With its unique capital structure, it can be difficult to apply a model used to judge the financial risk of companies in general to those in the construction industry. Diverse studies of bankruptcy forecasting models based on a company's financial statements have been conducted for many years. The subjects of the model, however, were general firms, and the models may not be proper for accurately forecasting companies with disproportionately large liquidity risks, such as construction companies. The construction industry is capital-intensive, requiring significant investments in long-term projects, therefore to realize returns from the investment. The unique capital structure means that the same criteria used for other industries cannot be applied to effectively evaluate financial risk for construction firms. Altman Z-score was first published in 1968, and is commonly used as a bankruptcy forecasting model. It forecasts the likelihood of a company going bankrupt by using a simple formula, classifying the results into three categories, and evaluating the corporate status as dangerous, moderate, or safe. When a company falls into the "dangerous" category, it has a high likelihood of bankruptcy within two years, while those in the "safe" category have a low likelihood of bankruptcy. For companies in the "moderate" category, it is difficult to forecast the risk. Many of the construction firm cases in this study fell in the "moderate" category, which made it difficult to forecast their risk. Along with the development of machine learning using computers, recent studies of corporate bankruptcy forecasting have used this technology. Pattern recognition, a representative application area in machine learning, is applied to forecasting corporate bankruptcy, with patterns analyzed based on a company's financial information, and then judged as to whether the pattern belongs to the bankruptcy risk group or the safe group. The representative machine learning models previously used in bankruptcy forecasting are Artificial Neural Networks, Adaptive Boosting (AdaBoost) and, the Support Vector Machine (SVM). There are also many hybrid studies combining these models. Existing studies using the traditional Z-Score technique or bankruptcy prediction using machine learning focus on companies in non-specific industries. Therefore, the industry-specific characteristics of companies are not considered. In this paper, we confirm that adaptive boosting (AdaBoost) is the most appropriate forecasting model for construction companies by based on company size. We classified construction companies into three groups - large, medium, and small based on the company's capital. We analyzed the predictive ability of AdaBoost for each group of companies. The experimental results showed that AdaBoost has more predictive ability than the other models, especially for the group of large companies with capital of more than 50 billion won.