• 제목/요약/키워드: Analysis of papers

검색결과 2,592건 처리시간 0.034초

식물과 곰팡이 병원균과의 상호작용에 대한 프로테오믹스 최근 연구 동향 (Proteomics of plant-fungal pathogen interaction: an overview)

  • 김진영;이소의;오하람;최인수;김용철;김선태
    • Journal of Plant Biotechnology
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    • 제41권1호
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    • pp.1-9
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    • 2014
  • So far it has been generally considered that proteomic approaches are very useful for studying plant-microbes interaction. In this review, recent studies based on papers published from 2010 to 2013 have investigated proteomics analysis in various interaction during plant-fungal pathogen infection by means of gel-based proteomics coupled with mass spectrometry (MS)-based analysis. In rice, three papers focused on rice-Magnaporthe oryzae interaction were mainly reviewed in this study. Interestingly, another study showed proteomic changes in rice inoculated with Puccinia triticina, which is not only an fungal pathogen in wheat and but also results to the disease resistance with non-host defense manner in rice. Additionally, proteomics analysis has been widely subjected to understand defense mechanism during other crops (wheat, tomato, strawberry and mint) and their fungal pathogen interaction. Crops inoculated are analyzed to identify differentially regulated proteins at various tissues such as leaf and apoplast using 2-DE analysis coupled with various MS approaches such as MALDI-TOF MS, nESI-LC-MS/MS and MudPIT, respectively. Taken together, this review article shows that proteomics is applicable to various organisms to understand plant-fungal pathogen interaction and will contribute to provide important information for crop disease diagnosis and crop protection.

해운물류분야 우리나라 대표연구자 및 연구기관 (Korea Leading Scholars and Institutions in Maritime Research)

  • 장영태;조아현
    • 한국항만경제학회지
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    • 제35권1호
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    • pp.117-138
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    • 2019
  • 세계적 수준인 우리나라 해운물류산업에 비해, 해운물류 연구 실적에 대한 평가는 다소 불분명하다. 본 연구는 우리나라 해운물류분야의 상위 30명의 연구자와 30개의 기관을 분석했다. 분석은 2000년부터 2015년까지 16년간 해운 및 운송 관련 65개 SSCI 및 SCI 학술지에 게재된 논문을 대상으로 했다. 순위를 산정하기 위해 다음과 같은 세 가지 지표를 사용했다: 1) 논문의 수, 2) 저자들의 기여도를 반영한 가중 점수(Weighted Score), 3) 학술지의 Impact factor를 고려한 영향력 점수. 시간의 흐름에 따른 각 기관과 연구자의 순위 변화를 5년을 주기로 측정했다. 또한, 우리나라 해운물류 연구가 세계 해운물류 분야에서 차지하는 비중을 분석하였다. 끝으로, 우리나라 연구자들의 방법론적 선호도를 세계 연구자들과 비교 및 분석하였다.

국제학술논문을 통해 본 북한의 과학기술 지식생산에 관한 연구 (A Study on the Production of Science and Technology Knowledge in North Korea through International Academic Papers)

  • 노경란;김은정;최현규
    • 한국비블리아학회지
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    • 제27권4호
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    • pp.205-227
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    • 2016
  • 본 연구는 북한의 과학자들이 과학기술지식을 생산하는 구조를 파악하기 위해 국제학술논문 데이터를 바탕으로 공동연구 네트워크를 분석하였다. 분석결과를 살펴보면, 연구주제 분야는 물리학, 수학 및 화학 등 기초과학 분야에 편중되어 있었다. 북한과의 주요 공동연구 협력국가는 중국이며, 김정은 시대 이후 그 현상은 더욱 강해진 것으로 나타났다. 물리학 분야의 주요 공동연구는 독일에서 중국으로 이동한 것으로 나타났다. 국제학술논문을 발표한 북한의 과학자들의 소속기관은 총 32개 기관이었다. 그 중에서 국제학술 활동이 활발한 연구기관은 김일성종합대학, 국가과학원, 김책공업종합대학, 리과대학임을 파악할 수 있었다.

의사소통 분석 및 인적오류 연구 추이 (Research Trend of Communication Analysis and Human Error)

  • 정윤형
    • 대한인간공학회지
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    • 제30권1호
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    • pp.65-74
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    • 2011
  • Method: We reviewed the papers of communication analysis studies in various fields and summarized communication error researches. Results: We proposed perspectives for communication error analysis and explained the need for extended analysis framework using advanced human-machine interfaces, which will cause the change of communication between operation team, including shifted abstraction phenomena. And we describe main concepts and the case study of H-H-S framework and finally introduce current studies of communication analysis in nuclear domain. Conclusion: The goal of communication analysis is common in all industries. We have to share and co-work for event prevention. Application: The results of the communication analysis might help to facilitate the understanding for interested researchers.

기관별·개인별 논문 분석을 통한 자율주행 자동차의 계량정보 분석 (Scientometric Analysis of Autonomous Vehicle through Paper Analysis of each Organization and Author)

  • 박종규;최정단;배영철
    • 한국전자통신학회논문지
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    • 제8권2호
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    • pp.329-337
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    • 2013
  • 본 논문에서는 자율 주행 자동차의 연구 방향을 결정하기 위한 기관별 개인별 논문 분석을 통한 계량정보 분석을 검토한다. 기관별 개인별 논문 수 분석, 수준 분석, 국제협력연구 네트워크 분석, 핵심 기관과 개인의 Q-L분포를 이용하여 자율 주행 자동차의 연구 동향을 확인한다.

Rearch of Late Adolcent Activity based on Using Big Data Analysis

  • Hye-Sun, Lee
    • International Journal of Advanced Culture Technology
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    • 제10권4호
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    • pp.361-368
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    • 2022
  • This study seeks to determine the research trend of late adolescents by utilizing big data. Also, seek for research trends related to activity participation, treatment, and mediation to provide academic implications. For this process, gathered 1.000 academic papers and used TF-IDF analysis method, and the topic modeling based on co-occurrence word network analysis method LDA (Latent Dirichlet Allocation) to analyze. In conclusion this study conducted analysis of activity participation, treatment, and mediation of late adolescents by TF-IDF analysis method, co-occurrence word network analysis method, and topic modeling analysis based on LDA(Latent Dirichlet Allocation). The results were proposed through visualization, and carries significance as this study analyzed activity, treatment, mediation factors of late adolescents, and provides new analysis methods to figure out the basic materials of activity participation trends, treatment, and mediation of late adolescents.

전달(傳達)매트릭스법(法)에 의(依)한 선체특설늑골(船體特設肋骨) 해석(解析) (The Stress Analysis of Web Frame by the Transfer Matrix Method)

  • 임상진;양영순
    • 대한조선학회지
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    • 제12권1호
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    • pp.31-36
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    • 1975
  • As the size of tanker increase, the analysis and strength prediction of the transverse web frames in a tanker have become important problems. Therefore, several papers dicussed the subject and various method of analysis have been presented. Most of these studies are based on the elastic framework analysis. Framework analysis is carried out by the matrix methods. The matrix methods used most frequently are the displacement method, force method and the transfer matrix method. In this paper, the analysis is carried out by the transfer matrix method. The program has been tested by IBM 1130 and the results of example show good agreements with those by the program of stress analysis, STRESS, which was developed in M.I.T.

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Study of Mental Disorder Schizophrenia, based on Big Data

  • Hye-Sun Lee
    • International Journal of Advanced Culture Technology
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    • 제11권4호
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    • pp.279-285
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    • 2023
  • This study provides academic implications by considering trends of domestic research regarding therapy for Mental disorder schizophrenia and psychosocial. For the analysis of this study, text mining with the use of R program and social network analysis method have been used and 65 papers have been collected The result of this study is as follows. First, collected data were visualized through analysis of keywords by using word cloud method. Second, keywords such as intervention, schizophrenia, research, patients, program, effect, society, mind, ability, function were recorded with highest frequency resulted from keyword frequency analysis. Third, LDA (latent Dirichlet allocation) topic modeling result showed that classified into 3 keywords: patient, subjects, intervention of psychosocial, efficacy of interventions. Fourth, the social network analysis results derived connectivity, closeness centrality, betweennes centrality. In conclusion, this study presents significant results as it provided basic rehabilitation data for schizophrenia and psychosocial therapy through new research methods by analyzing with big data method by proposing the results through visualization from seeking research trends of schizophrenia and psychosocial therapy through text mining and social network analysis.

스마트 그리드 예비 연구를 위한 계량정보분석 (Scientometric Analysis for Pilot Study of Smart Grid)

  • 박종규;배영철
    • 한국전자통신학회논문지
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    • 제7권1호
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    • pp.97-105
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    • 2012
  • 특허, 논문, 연구 주제에서 중복을 피하기 위해서 많은 연구자들은 다양한 방법을 가지고 특허와 이전의 연구 결과들을 검토한다. 이러한 노력을 줄이기 위하여 본 논문에서는 스마트 그리드에서 중복을 피하고 연구자들을 도와주기 위한 방법으로 수준지수분석, 국제협력 연구 네트워크, 소속과 저자의 핵심 분석을 통한 계량정보분석 방법을 제안한다.

A Scientometric Analysis of 20 Years of Research on Breast Reconstruction Surgery: A Guide for Research Design and Journal Selection

  • Moghimi, Mehrdad;Fathi, Mehdi;Marashi, Ali;Kamani, Freshteh;Habibi, Gholamreza;Hirbod-Mobarakeh, Armin;Ghaemi, Marjan;Hosseinian-Sarajehlou, Mahdi
    • Archives of Plastic Surgery
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    • 제40권2호
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    • pp.109-115
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    • 2013
  • Background Breast reconstruction refers to the rebuilding of a woman's breast using autologous tissue or prosthetic material to form a natural-looking breast. It is increasingly offered to women undergoing mastectomy for breast cancer. However, there is no systematic analysis available for the expanding area of research on breast reconstruction. Methods A bibliometric method was used to obtain a view of the scientific production about breast reconstruction by data extracted from the Institute for Scientific Information (ISI). Specific parameters were retrieved from the ISI. Articles about breast reconstruction were analyzed to obtain a view of the topic's structure, history, and document relationships using HistCite software. Trends in the most influential publications and authors were analyzed. Results The number of articles was constantly increasing. Most highly cited articles described the methods of flap construction in the surgery. Other highly cited articles discussed the psychological or emotional aspects of breast reconstruction, skin sparing mastectomy, and breast reconstruction in the irradiated breast. Conclusions This was the first breast reconstruction scientometric analysis, representing the characteristics of papers and the trends of scientific production. A constant increase in the number of breast reconstruction papers and also the increasing number of citations shows that there is an increasing interest in this area of medical science. It seems that most of the research in this field is focused on the technical aspects of surgery.