통합 검색 | Korea Science

대전 일부 지역 치과종사자의 화학소독제에 관한 지식도 연구 (Knowledge on the chemical disinfectants among dental workers in some Daejeon region)

민희홍;안권숙
- 한국치위생학회지
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- 제7권4호
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- pp.455-470
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- 2007
The usage of appropriate disinfectants is essential for infection control in dental hospitals, dental clinics. Inadequate use of disinfectants is the cause of human or environmental toxicity and is a waste of cost. This study was aimed to assess the level of knowledge on the disinfection and chemical disinfectants among dental workers in dental hospitals, dental clinics. It's ultimately intended to serve as a basis for the preparation of more effective, appropriate educational programs on the disinfection and manuals on the use of disinfectants for dental workers. This study enforced a questionnaire with 184 dental workers employed in dental hospitals, dental clinics from 15 Aug. to 15 Sep. 2007, in the area of Daejeon. The obtained result were as follows; 1. The population sociological feature of dental hospital and dental clinic showed that significant differences of dental service career(pM0.039). Dental service career of dental workers shows; below 3 years 42.9%, 4~6 years 34.7%, more than 7 years 22.4% in dental hospitals, below 3 years 30.4%, 4~6 years 26.7%, more than 7 years 43.0% in dental clinics(pM0.039). 2. The average score of dental workers knowledge in 'Critical item soaks in high-level disinfectants for 20minutes was 2.73V0.49 point, got from knowledge of dental instrument is appropriate to immerse before sterilization in the dental device disinfection(pM0.002). 3. In the general disinfection which it follows in education experience of chemical disinfectants direction for use, 'Direction for use by Spaulding process classification' responded that the correct answer was the education experience dental workers 60.0%, the education non-experience dental workers 39.5%(p=0.026). 4. In the dental device disinfection which it follows in education experience of chemical disinfectants direction for use. 'High level disinfection is not applied for the non-critical items and equipment' responded that the education experience dental workers 49.2%, the education non-experience dental workers 31.9%(pM0.045), 'Semi-critical items is applied same method in presence of the infection disease which it acts responded that the education experience dental workers 44.6% answer back, the education non-experience dental workers 24.4%(pM0.017). 5. 'A hand disinfectants of anticeptics have effect' the education experience dental workers 78.5% answer back, the education non-experience dental workers 52.9%(pM0.003). 1t uses with hand disinfectants when the instruments which be imbrued and patient contact', the education experience dental workers 78.5% answer back, the education non-experience dental workers 62.2%(pM0.026), 'Boric acid solution uses for the skin disinfectants the education experience dental workers 52.3% answer back, the education non-experience dental workers is 37.0%(pM0.016), 'Gluconate have effective difference which it follows in chemical disinfectant consistency and the solution type' education experience dental workers 72.3% answer back, education non-experience dental workers 47.9%(pM0.004). 6. The education experience dental workers were appeared higher than the education non-experience dental workers in knowledge of the disinfection and chemical disinfectants. Consequently system and the specialty education which is standardized continuously must be provided to all dental workers.
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질의 응답 시스템에서 구문 근접성에 기반한 정답 후보 랭킹 방법 (Answer Candidate Ranking based on Syntactic Proximity in Question Answering)

나승훈;강인수;권오옥;이종혁
- 한국정보과학회:학술대회논문집
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- 한국정보과학회 2002년도 봄 학술발표논문집 Vol.29 No.1 (B)
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- pp.478-480
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- 2002
질의 응답 시스템의 성능을 높이기 위해서는 정답 후보(Answer Candidate)를 랭킹하는 방법이 매우 중요하다. 본 논문에서는 기존의 정답 후보 랭킹을 위해 사용하던 위치 근접성의 문제점을 제시하고, 이를 보완하기 위한 구문 근접성을 이용하는 방법에 대해 제안한다. 실험 결과는 논문에서 제안한 구문 근접성을 사용한 정답 후보 랭킹 방법이 위치 근접성을 이용만 방법보다 더 개선된 방법임을 보여준다
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Multi-level Attention Fusion을 이용한 기계독해 (Multi-level Attention Fusion Network for Machine Reading Comprehension)

박광현;나승훈;최윤수;장두성
- 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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- 한국정보과학회언어공학연구회 2018년도 제30회 한글 및 한국어 정보처리 학술대회
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- pp.259-262
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- 2018
기계독해의 목표는 기계가 주어진 문맥을 이해하고 문맥에 대한 질문에 대답할 수 있도록 하는 것이다. 본 논문에서는 Multi-level Attention에 정보를 효율적으로 융합 수 있는 Fusion 함수를 결합하고, Answer module에Stochastic multi-step answer를 적용하여 SQuAD dev 데이터 셋에서 EM=78.63%, F1=86.36%의 성능을 보였다.
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