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      • KCI등재

        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.

      • 21個 非對稱中心點群의 等價逆格子點

        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.

      • 특수위치에 있는 원자들의 비등방성 온도인자

        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.

      • Status of digital standards in Korean medical journals in 2016

        Geum Hee Jeong,허선 한국과학학술지편집인협의회 2016 Science Editing Vol.3 No.2

        This study aimed to characterize the current status of a variety of digital standards in medical journals published in Korea in 2016. A total of 256 journals listed as member journals of the Korean Association of Medical Journal Editors were searched to evaluate the following items: an independent journal homepage domain; an e-submission system; the use of digital object identifiers (DOIs), CrossMark, and FundRef; the availability of text and data mining; the presence of Open Researcher and Contributor ID (ORCID) information, an open access declaration, and the language of the journal. The search was carried out from July 29 to 30, 2016. Independent journal homepage domains were found for 190 of the 256 journals (74.1%). Of the journals, 216 were equipped with an e-submission system (84.4%), and 218 journals used DOIs (85.2%). CrossMark and FundRef were used in 105 journals (41.0%), text and data mining were available for 31 journals (11.1%), ORCID identifiers were present in 24 journals (9.4%), and an open access declaration according to a Creative Commons license was present for 199 journals (77.8%). The number of English-language journals was 130 (50.8%). Open access journals and English-language journals were found to have implemented more digital standards than non-open access journals and Korean-language journals respectively. The above results demonstrate that digital standards have been rapidly implemented by a considerable number of medical journals in Korea. In order to facilitate the more active promotion of journals to the international level, more journals should utilize these standards. The use of full-text JATS (journal article tag suite) XML is recommended for the easy adoption of DOIs, CrossMark, FundRef, and ORCID.

      • KCI등재

        Adherence to the International Committee of Medical Journal Editors–recommended gender equity policy in nursing journals listed in MEDLINE or PubMed Central: a descriptive study

        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.

      • Bibliometric and content analysis of medical articles in the PubMed database published by North Korean authors from 1997 to July 2017

        Geum Hee Jeong,Sun Huh 한국과학학술지편집인협의회 2017 Science Editing Vol.4 No.2

        This study aimed at analyzing the bibliometric characteristics and content of medical articles from North Korea in PubMed and characterizing the patterns of international cooperation of medical researchers in North Korea. We hypothesized that the number of publications from North Korea in PubMed has increased recently as a result of active cooperation with foreign researchers. PubMed was searched on July 19, 2017 using the search term “(North Korea [Affiliation]) OR Democratic People’s Republic of Korea [Affiliation]) OR DPRK [Affiliation].” The content of medical articles was analyzed and cooperative work with foreign researchers was noted. The number of medical articles in PubMed through July 2017 was 16, of which 2 were by North Korean authors only. From the content of these articles, it was found that researchers in top-notch institutions, including Kim Il Sung University, can access the internet, and that a dental caries prevention program supported by Finland has been in place for more than 10 years. The number of publications from North Korea in PubMed has increased recently, although the amount is still very small. Providing internet access to North Korean researchers will accelerate their submissions to international journals.

      • KCI등재

        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.

      • KCI등재

        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.

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