• Title/Summary/Keyword: relevance network

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도시슬로건이 도시기억의 인출에 미치는 부정적 영향 :슬로건과 관련 없는 도시기억을 중심으로 (Negative Effects of City Slogan on the Retrieval of City Memory Unrelated to the Slogan)

  • 김도형;황인석
    • 한국콘텐츠학회논문지
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    • 제22권2호
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    • pp.224-236
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    • 2022
  • 본 연구는 도시슬로건의 사용이 경우에 따라서는 도시 관련 기억의 인출에 부정적 영향을 미칠 수 있음을 전제로 관련 변수의 효과를 실험적으로 고찰하고 있다. 가설 검정을 위해 본 연구는 4 실험집단(2(슬로건의 도시 관련성: 고 혹은 저) × 2(슬로건의 구체성: 고 혹은 저)과 1개의 통제집단을 구성하였다. 실험집단은 각 조건에 맞은 도시슬로건에 도출되었으며, 통제집단은 도시슬로건에 노출되지 않았다. 이후 각 집단의 기억인출 점수를 비교하게 된다. 표본은 대학 학부생 174명으로 구성되었으며, 남자 54%, 연령 분포 만 18-27세, 연령 평균 만 22.4세이다. 연구결과 도시슬로건은 슬로건과 관련 없는 도시기억의 인출을 방해하는 경우가 많은 것으로 나타났다. 이러한 방해효과는 슬로건이 도시와 관련성이 높을수록, 구체적일수록 더 커지는 것으로 나타났다. 그러나 도시 관련성이 낮고 구체성이 낮은 슬로건에서는 방해효과가 발견되지 않았다. 본 연구는 기존 연구와 달리 도시슬로건의 부정적 효과를 다루고 있다는 차별성을 가질 뿐만 아니라 실무적으로도 관련 담당자들에게 도시슬로건의 제정과 관련된 전략적 시사점을 제공하고 있다.

네트워크 약리학을 활용한 알레르기 비염에서의 몰약의 치료 효능 및 기전 예측 (Network pharmacology-based prediction of efficacy and mechanism of Myrrha acting on Allergic Rhinitis)

  • 임예빈;권빛나;김동욱;배기상
    • 대한한의학회지
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    • 제45권1호
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    • pp.114-125
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    • 2024
  • Objectives: Network pharmacology is an analysis method that explores drug-centered efficacy and mechanism by constructing a compound-target-disease network based on system biology, and is attracting attention as a methodology for studying herbal medicine that has the characteristics for multi-compound therapeutics. Thus, we investigated the potential functions and pathways of Myrrha on Allergic Rhinitis (AR) via network pharmacology analysis and molecular docking. Methods: Using public databases and PubChem database, compounds of Myrrha and their target genes were collected. The putative target genes of Myrrha and known target genes of AR were compared and found the correlation. Then, the network was constructed using STRING database, and functional enrichment analysis was conducted based on the Gene Ontology (GO) Biological process and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathways. Binding-Docking stimulation was performed using CB-Dock. Results: The result showed that total 3 compounds and 55 related genes were gathered from Myrrha. 33 genes were interacted with AR gene set, suggesting that the effects of Myrrha are closely related to AR. Target genes of Myrrha are considerably associated with various pathways including 'Fc epsilon RI signaling pathway' and 'JAK-STAT signaling pathway'. As a result of blinding docking, AKT1, which is involved in both mechanisms, had high binding energies for abietic acid and dehydroabietic acid, which are components of Myrrha. Conclusion: Through a network pharmacological method, Myrrha was predicted to have high relevance with AR by regulating AKT1. This study could be used as a basis for studying therapeutic effects of Myrrha on AR.

최급 강하법 기반 인공 신경망을 이용한 다기능 레이다 표적 우선순위 할당에 대한 연구 (Target Prioritization for Multi-Function Radar Using Artificial Neural Network Based on Steepest Descent Method)

  • 정남훈;이성현;강민석;구창우;김철호;김경태
    • 한국전자파학회논문지
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    • 제29권1호
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    • pp.68-76
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    • 2018
  • 표적 우선순위 할당은 다수의 표적이 존재하는 전술 환경에서 다기능 레이다(Multifunction Radar: MFR)가 중요한 표적을 추적하고 레이다 자원을 효율적으로 관리하기 위해 필요한 기능이다. 본 논문에서는 레이다에서 수집한 정보로부터 표적에 대한 우선순위를 산출하는 인공 신경망(Artificial Neural Network: ANN) 모델을 구현한다. 더 나아가, 기존의 경사 하강법(gradient descent) 기반 역전파(backpropagation) 알고리즘을 발전시켜 표적 우선순위 할당에 더욱 적합한 최급 강하법(steepest descent) 기반 신경망 학습 알고리즘을 제안한다. 시뮬레이션에서는 훈련 데이터와 신경망의 결과값 사이의 오차와 특정 테스트 시나리오에서 할당된 우선순위의 합리성을 분석하여 제안된 방법의 성능을 확인한다.

사회연결망 분석을 활용한 패션 트렌드 고찰 (Exploring Fashion Trends Using Network Analysis)

  • 박지수;이유리
    • 한국의류학회지
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    • 제38권5호
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    • pp.611-626
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    • 2014
  • Reading and foreseeing fashion trends is crucial and difficult in the fashion industry due to accelerated and diversified changes in fashion trends. We use network analysis to investigate fashion trends from 2004 to 2013 in order to find the inter-relevance among fashion trends. We extracted words from fashion trend info for women's wear provided by Samsung Design Net, created a 2-mode network of seasons and trend languages, and visualized this network using NodeXl program. Fashion trends repeated a unique pattern during the period. In the first half (2004-2008), retro modern, feminine modern, and ecological modern were dominant trends in consecutive order. The years 2009-2013 witnessed distinctive fashion trends in S/S seasons and in F/W seasons. 11F/W, 12F/W and 13F/W seasons were characterized by artistic creative style. From 2010, natural style dominated S/S seasons. 10S/S and 12S/S seasons were distinguished as a calm natural style that reflected a peaceful and simple life. In 11S/S and 13S/S seasons, soft natural style emerged as a sign of increased importance of inner spirit and natural energy. A seasonal reappearance of trends was observed every two years in S/S seasons that enabled the prediction that 14S/S will see another version of natural style. A macroscopic trend for the last 10 years was represented by the keywords 'modern' and 'natural'. 'Modern' involved the past styles such as 60's, Baroque and the origin of human life. 'Natural' was connected with design elements such as material, silhouette and color. Managerial implications and future study directions are discussed based on the results.

패턴 분류 문제에서 가중치를 고려한 퍼지 최대-최소 신경망 (A Weighted Fuzzy Min-Max Neural Network for Pattern Classification)

  • 김호준;박현정
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제33권8호
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    • pp.692-702
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    • 2006
  • 본 연구에서는 패턴 분류문제를 위하여 가중치 개념을 갖는 퍼지 최대 최소 신경망 모델을 제안한다. 제안된 모델은 기존의 FMM 신경망 모델에 대하여 학습데이타에 포함되는 특징값의 빈도요소를 효과적으로 반영할 수 있도록 수정한 구조를 갖는다. 본 논문에서는 제안된 모델에 대하여 하이퍼박스 소속함수로 정의되는 새로운 활성화 특성과 학습알고리즘을 정의한다. 학습알고리즘은 하이퍼박스 생성 및 확장, 중첩 테스트, 하이퍼박스 축소의 3 단계 과정으로 이루어지며, 각 과정에서 특정값의 빈도요소를 고려하여 가중치값을 갱신하는 규칙이 새롭게 정의된다. 본 연구에서는 또한 제안된 모텔의 응용으로서 특정분석 기법을 제안한다. 이를 위하여 특정값, 특정유형, 하이퍼박스, 패턴클래스 상호간 연관도 요소를 4 가지 유형의 척도로 정의하여, 주어진 패턴분류 문제에서 각 특정의 상대적 중요도를 평가할 수 있도록 한다. 아이리스 데이타와 클리블랜드 의료데이타에 대한 분류문제에 적용한 실험결과를 통하여 제안된 방법의 타당성을 고찰하였다.

네트워크 약리학을 이용한 윤폐환(潤肺丸)의 COPD 치료 효능 및 작용기전 연구 (Network Pharmacology-based Prediction of Efficacy and Mechanism of Yunpye-hwan Acting on COPD)

  • 김민주;양아람;권빛나;김동욱;배기상
    • 대한본초학회지
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    • 제39권3호
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    • pp.37-47
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    • 2024
  • Objectives : Because predicting the potential efficacy and mechanisms of Korean medicines is challenging due to their high complexity, employing an approach based on network pharmacology could be effective. In this study, network pharmacological analysis was utilized to anticipate the effects of YunPye-Hwan (YPH) in treating Chronic obstructive pulmonary disease (COPD). Methods : Compounds and their related target genes of YPH were gathered from the TCMSP and PubChem databases. These target genes of YPH were subsequently compared with gene sets associated with COPD to assess correlation. Next, core genes were identified through a two-step screening process, and finally, functional enrichment analysis of these core genes was conducted using both Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathways. Results : A total of 15 compounds and 437 target genes were gathered, resulting in a network comprising 473 nodes and 14,137 edges. Among them, 276 genes overlapped with gene sets associated with COPD, indicating a significant correlation between YPH and COPD. Functional enrichment analysis of the 18 core genes revealed biological processes and pathways such as "miRNA Transcription," "Nucleic Acid-Templated Transcription," "DNA-binding Transcription Factor Activity," "MAPK signaling pathway," and "TNF signaling pathway" were implicated. Conclusion : YPH exhibited significant relevance to COPD by modulating cell proliferation, differentiation, inflammation, and cell death pathways. This study could serve as a foundational framework for further research investigating the potential use of YPH in the treatment of COPD.

Maritime Navigation Systems: Role And Place In The Safety Of Navigation

  • Tkachenko, Valeriy;Voloshyna, Olha;Marukhnenko, Оleksandr;Slobodanyuk, Mykola;Zharikov, Volodymyr;Yatsenko, Sergiy
    • International Journal of Computer Science & Network Security
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    • 제21권9호
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    • pp.86-90
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    • 2021
  • The article assesses the level of navigation safety, in theoretical terms, defines the complexity of managing navigational risks in practice. The issues of assessing the navigational safety have been studied due to the importance and relevance of the issue in question, however, due to the great complexity of the problem under consideration, the article considers and indicates the directions for the development of the solution of the given direction, where, first of all, it became necessary to analyze the issue of assessing the levels of navigation risks when navigating vessels of various types in difficult navigation conditions.

Prediction of Protein-Protein Interactions from Sequences using a Correlation Matrix of the Physicochemical Properties of Amino Acids

  • Kopoin, Charlemagne N'Diffon;Atiampo, Armand Kodjo;N'Guessan, Behou Gerard;Babri, Michel
    • International Journal of Computer Science & Network Security
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    • 제21권3호
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    • pp.41-47
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    • 2021
  • Detection of protein-protein interactions (PPIs) remains essential for the development of therapies against diseases. Experimental studies to detect PPI are longer and more expensive. Today, with the availability of PPI data, several computer models for predicting PPIs have been proposed. One of the big challenges in this task is feature extraction. The relevance of the information extracted by some extraction techniques remains limited. In this work, we first propose an extraction method based on correlation relationships between the physicochemical properties of amino acids. The proposed method uses a correlation matrix obtained from the hydrophobicity and hydrophilicity properties that it then integrates in the calculation of the bigram. Then, we use the SVM algorithm to detect the presence of an interaction between 2 given proteins. Experimental results show that the proposed method obtains better performances compared to the approaches in the literature. It obtains performances of 94.75% in accuracy, 95.12% in precision and 96% in sensitivity on human HPRD protein data.

Regulatory Policy: Bibliometric Analysis Using the VOSviewer Program

  • Zhavoronok, Artur;Chub, Anton;Yakushko, Inna;Kotelevets, Dmytro;Lozychenko, Oleksandr;Kupchyshynа, Olga
    • International Journal of Computer Science & Network Security
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    • 제22권1호
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    • pp.39-48
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    • 2022
  • Today the regulation of socio-economic development has been the subject of active scientific debate. The modern paradigm of regulatory policy in foreign countries involves a change in the role and strategy of the state, which determines the relevance of this topic. The aim of the article is to study the current state of regulatory policy research. The article is based on a bibliographic analysis of the study of regulatory policy. The study is based on the data search functions of the Scopus platform. It uses a set of VOSviewer program, online visualization of keywords in the titles of scientific journals and citations of publications. The study led to the conclusion that the number of publications that directly study the nature and features of regulatory policy is insignificant, but constantly growing. In our opinion, further research should determine the essence of regulatory policy as a separate category, a description of its features and factors of formation. It is also necessary to develop a common concept that governments should be actively involved in ensuring the quality of regulation, rather than responding to the shortcomings of regulation, which is evolving into regulatory governance.

PR Technology As A Modern Function Of Educational Management

  • Kovalenko, Yelena;Kovalchuk, Olena;Hotsalyuk, Аlla;Karikov, Sergiy;Havrylo, Olena;Kotlyar, Svitlana
    • International Journal of Computer Science & Network Security
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    • 제22권2호
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    • pp.399-405
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    • 2022
  • This article is devoted to the consideration of the image strategies of higher education on the example of a comparison of Ukrainian and foreign experience. The relevance of the chosen topic is as follows. Today, educational institutions need to position, shape and elevate their image. PR helps to solve all these tasks, performing a function that is so necessary for establishing mutual understanding as communication management. The following tasks are solved in the article: originality of definitions was investigated; revealed PR and related concepts; analyzed the role of PR in the information promotion of universities; determined the specifics of information promotion, due to temporary conditions and regional development; considered image materials of Ukrainian and foreign universities; disclosed the specifics of the information promotion of the objects under study; analyzed.