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녹차 추출물과 차잎 첨가에 따른 김치의 품질 특성 비교
박금순,정의숙,박선희 동아시아식생활학회 2000 동아시아식생활학회지 Vol.10 No.1
This study was conducted to investigate the kimchi quality of the addition of green tea extract and green tea leaf. Kimchi was examined for pH, titratable acidity, the changes in the number of microorganisms, color, sensory evaluation. The pH and titratable acidity of kimchi at the addition of 5%, 1% of green tea extract and green tea leaf were higher and lower than those of control kimchi. The number of total microorganism at 21 days were detected much more in the kimchi added green tea extract and green tea leaf than in control. The number of coliforms up to 7 days of fermentation were detected. And those at 14-21 days were not detected but those of 28 days were detected. The number of coliforms at 28 days were most lowest in the kimchi added green tea extract 3%. The number of lactic acid bacteria were detected more in the kimchi added green tea leaf. As a result of sensory evaluation during fermentation, the kimchi added green tea extract 5% was the highest score in carbonated taste, texture and overall quality. As the result of correlation between sensory characteristics and mechanical characteristics. it was found that sensory characteristics of sour taste is negatively related to the mechanical characteristics of L values, while it is positively related to the texture. The a values is negatively related to the sensory characteristics of overall quality. The b values is positively related to the sensory characteristics of sour taste.
徐日煥,秋錦洪,李珍昊,朴晶蘭,郭相姬,金文執,李正秀,申容賢 충남대학교 자연과학연구소 1994 忠南科學硏究誌 Vol.21 No.2
32개 點群은 中心對稱(centrosymmetric)을 갖는 11가지 點群(Laue群)과 21個의 非對稱中心(noncentrosymmetric)點群으로 이루어졌다. 本 硏究에서는 21個 非對稱中心點群 各各의 等價回折面(等價逆格子點)들을 誘導하였다. The thirty two point groups consist of eleven Laue groups (centrosymmetric point groups) and twenty one noncentrosymmteric point groups. In this paper, the reciprocal lattice points equivalent under the operations of 21 noncentrosymmetric point groups are derived.
김용채,이창희,이진호,서일환,추금홍,이정수,성백석,김문집 순천향대학교 기초과학연구소 1998 순천향자연과학연구 논문집 Vol.4 No.2
The anisotropic thermal factor of an atom located at a general position has six parameters as follows: ?? If the atom is placed at a special position, the anisotropic thermal factor must have the same symmetry as the special position has. The symmetries at the special positions reduce the 6 anisotropic thermal parameters to 4 or 3 or 2 or 1 and there are 18 different kinds of anisotropic thermal factors altogether for special positions in 230 space groups.
Tris(tetraethylammonium) bistrimetaphosphate의 空間群 P1 ̄와 C2/c의 結晶學的 資料間의 相互變換
徐日煥,李珍昊,林星秀,朴晶蘭,秋錦洪,郭相姬,都暎圭,李海정 충남대학교 기초과학연구소 1994 忠南科學硏究誌 Vol.21 No.1
Tris(tetraethylammonium) bistrimetaphosphate, VP_6N_3O_18C_24H_60 의 結晶構造가 두가지 空間群 P1 ̄와 C2/c 로 밝혀졌다. 本 論文에서는 이 두가지 空間群의 結晶學的 資料間에 相互變換 關係가 成立함을 보였다. The structure of Tris(tetraethylammonium) bistrimetaphosphate, VP_6N_3O_18C_24H_60, has been elucidate with two space groups P1 ̄ and C2/c. In this paper, it has been shown that the crystallographic data of the two space groups are mutually transformed.
Artificial intelligence, machine learning, and deep learning in women's health nursing
Jeong, Geum Hee Korean Society of Women Health Nursing 2020 여성건강간호학회지 Vol.26 No.1
Artificial intelligence (AI), which includes machine learning and deep learning has been introduced to nursing care in recent years. The present study reviews the following topics: the concepts of AI, machine learning, and deep learning; examples of AI-based nursing research; the necessity of education on AI in nursing schools; and the areas of nursing care where AI is useful. AI refers to an intelligent system consisting not of a human, but a machine. Machine learning refers to computers' ability to learn without being explicitly programmed. Deep learning is a subset of machine learning that uses artificial neural networks consisting of multiple hidden layers. It is suggested that the educational curriculum should include big data, the concept of AI, algorithms and models of machine learning, the model of deep learning, and coding practice. The standard curriculum should be organized by the nursing society. An example of an area of nursing care where AI is useful is prenatal nursing interventions based on pregnant women's nursing records and AI-based prediction of the risk of delivery according to pregnant women's age. Nurses should be able to cope with the rapidly developing environment of nursing care influenced by AI and should understand how to apply AI in their field. It is time for Korean nurses to take steps to become familiar with AI in their research, education, and practice.
Artificial intelligence, machine learning, and deep learning in women’s health nursing
( Geum Hee Jeong ) 한국여성건강간호학회 (구 여성건강간호학회) 2020 여성건강간호학회지 Vol.26 No.1
Artificial intelligence (AI), which includes machine learning and deep learning has been introduced to nursing care in recent years. The present study reviews the following topics: the concepts of AI, machine learning, and deep learning; examples of AI-based nursing research; the necessity of education on AI in nursing schools; and the areas of nursing care where AI is useful. AI refers to an intelligent system consisting not of a human, but a machine. Machine learning refers to computers’ ability to learn without being explicitly programmed. Deep learning is a subset of machine learning that uses artificial neural networks consisting of multiple hidden layers. It is suggested that the educational curriculum should include big data, the concept of AI, algorithms and models of machine learning, the model of deep learning, and coding practice. The standard curriculum should be organized by the nursing society. An example of an area of nursing care where AI is useful is prenatal nursing interventions based on pregnant women’s nursing records and AI-based prediction of the risk of delivery according to pregnant women’s age. Nurses should be able to cope with the rapidly developing environment of nursing care influenced by AI and should understand how to apply AI in their field. It is time for Korean nurses to take steps to become familiar with AI in their research, education, and practice.
Geum Hee Jeong,Sun Huh 한국과학학술지편집인협의회 2018 Science Editing Vol.5 No.2
This study presents an update of a previous study, ‘Bibliometric analysis of publications from North Korea indexed in the Web of Science Core Collection from 1988 to 2016,’ which was published in Science Editing volume 4, issue 1. A re-analysis was performed because an incomplete search strategy was used in the original publication, and the present study analyzed the same bibliometric characteristics of publications from North Korea indexed in the Web of Science Core Collection from 1978 to 2018. The Web of Science Core Collection was searched by selecting ‘North Korea’ in the country field of the basic search results on July 31, 2018. A total of 533 articles were identified. There were no results from before 1978. China, Germany, and Australia were main countries of collaboration. Researchers from Kim Il Sung University produced the most articles. The main research fields were physics, mathematics, materials science, chemistry, and engineering. The funding agencies were mostly from China. The number of articles by North Korean authors only was 105, with the same main research fields. The results were almost the same as reported in the previous article, except for a much higher number of publications. The above results indicate that the North Korean government has asked researchers to publish their works in international journals; therefore, it has allowed them to access the internet. Based on the trends we identified, we anticipate that there will be a continuous increase in publications from North Korea in international journals indexed in the Web of Science Core Collection.
Geum Hee Jeong,Eun Jeong Ko 한국과학학술지편집인협의회 2024 Science Editing Vol.11 No.1
Purpose: The evolving landscape of nursing research emphasizes inclusive representation. The International Committee of Medical Journal Editors (ICMJE) has established guidelines to ensure the fair representation of various demographic variables, including age, sex, and ethnicity. This study aimed to evaluate the adherence of nursing journals indexed in MEDLINE or PubMed Central to the ICMJE’s directives on gender equity, given that journals indexed in MEDLINE and PubMed Central typically adhere to the ICMJE’s guidelines. Methods: A descriptive literature review methodology was employed to analyze 160 nursing journals listed in two databases as of July 28, 2023. The website of each journal was searched, and the most recent original article from each was selected. These articles were then evaluated for their alignment with the ICMJE guidelines on gender equity. Descriptive statistics were applied to categorize and enumerate the cases. Results: Of the articles reviewed from 160 journals, 115 dealt with human populations. Of these, 93 required a description of gender equity. Within this subset, 83 articles distinguished between the genders of human subjects. Gender-based interpretations were provided in 15 articles, while another 68 did not offer an interpretation of differences by gender. Among the 10 articles that did not delineate gender, only two provided a rationale for this omission. Conclusion: Among recent articles published in the nursing journals indexed in MEDLINE and PubMed Central, only 16.1% presented clear gender analyses. These findings highlight the need for editors to strengthen their dedication to gender equity within their editorial policies.