• 제목/요약/키워드: Evolve

검색결과 709건 처리시간 0.028초

철도 산업의 공기 질 데이터베이스 연합형 통합을 위한 지능형 데이터 거버넌스 (Intelligent Data Governance for the Federated Integration of Air Quality Databases in the Railway Industry)

  • 김민정;원종운;박상찬;박가영
    • 품질경영학회지
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    • 제50권4호
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    • pp.811-830
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    • 2022
  • Purpose: In this paper, we will discuss 1) prioritizing databases to be integrated; 2) which data elements should be emphasized in federated database integration; and 3) the degree of efficiency in the integration. This paper aims to lay the groundwork for building data governance by presenting guidelines for database integration using metrics to identify and evaluate the capabilities of the UK's air quality databases. Methods: This paper intends to perform relative efficiency analysis using Data Envelope Analysis among the multi-criteria decision-making methods. In federated database integration, it is important to identify databases with high integration efficiency when prioritizing databases to be integrated. Results: The outcome of this paper aims not to present performance indicators for the implementation and evaluation of data governance, but rather to discuss what criteria should be used when performing 'federated integration'. Using Data Envelope Analysis in the process of implementing intelligent data governance, authors will establish and present practical strategies to discover databases with high integration efficiency. Conclusion: Through this study, it was possible to establish internal guidelines from an integrated point of view of data governance. The flexiblity of the federated database integration under the practice of the data governance, makes it possible to integrate databases quickly, easily, and effectively. By utilizing the guidelines presented in this study, authors anticipate that the process of integrating multiple databases, including the air quality databases, will evolve into the intelligent data governance based on the federated database integration when establishing the data governance practice in the railway industry.

Korean Red Ginseng slows coreceptor switch in HIV-1 infected patients

  • Young-Keol Cho;Jung-Eun Kim;Jinny Lee
    • Journal of Ginseng Research
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    • 제47권1호
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    • pp.117-122
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    • 2023
  • Background: Human immunodeficiency virus-1 (HIV-1) that binds to the coreceptor CCR5 (R5 viruses) can evolve into viruses that bind to the coreceptor CXCR4 (X4 viruses), with high viral replication rates governing this coreceptor switch. Korean Red Ginseng (KRG) treatment of HIV-1 infected patients has been found to slow the depletion of CD4+ T cells. This study assessed whether the KRG-associated slow depletion of CD4+ T cells was associated with coreceptor switching. Methods: This study included 146 HIV-1-infected patients naïve to antiretroviral therapy (ART) and seven patients receiving ART. A total of 540 blood samples were obtained from these patients over 122 ± 129 months. Their env genes were amplified by nested PCR or RT-PCR and subjected to direct sequencing. Tropism was determined with a 10% false positive rate (FPR) cutoff. Results: Of the 146 patients naïve to ART, 102 were KRG-naïve, and 44 had been treated with KRG. Evaluation of initial samples showed that coreceptor switch had occurred in 19 patients, later occurring in 38 additional patients. There was a significant correlation between the amount of KRG and FPR. Based on initial samples, the R5 maintenance period was extended 2.35-fold, with the coreceptor switch being delayed 2.42-fold in KRG-treated compared with KRG-naïve patients. The coreceptor switch occurred in 85% of a homogeneous cohort. The proportion of patients who maintained R5 for ≥10 years was significantly higher in long-term slow progressors than in typical progressors. Conclusion: KRG therapy extends R5 maintenance period by increasing FPR, thereby slowing the coreceptor switch.

경험 메타버스 서비스에 있어 사용자의 선호도를 고려한 아바타 활용 방안 모색 (Searching for Ways to Utilize Avatars in Consideration of User Preferences in the Experience Metaverse Service)

  • 박성숙;조일현
    • Journal of Information Technology Applications and Management
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    • 제30권2호
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    • pp.45-57
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    • 2023
  • Efforts to build metaverse platform services and expand profit structure are developing in a more realistic direction. The metaverse, which has been centered on 'creation and economy' and 'discovery', will evolve into an 'experience' metaverse, creating tangible business effects where satisfaction with the user experience leads directly to purchase. In this paper, the condition of the avatar used as a medium of economic activity between the metaverse platformer and the user and the business utilization plan were sought. In addition, a new 'metaverse business model' was proposed based on 'experience, discovery, creation and economy', and in particular, it was intended to lay the foundation for the experience metaverse to further develop in the form of 'business experience'. In addition, a survey was conducted on the 'application of metaverse service and avatar' targeting the MZ generation, the main customer base of the current metaverse service. In order to provide a service that satisfies the user, it was concluded that the appearance of the avatar needs to be changed according to the purpose and function. Accordingly, we propose an 'selective switch mode' that can change the avatar's appearance at the desired timing according to the 'experience' and 'purchase purpose' of each metaverse service area. In addition, by strategically utilizing the 'Digilog' psychology, we believe that it will be possible to promote the influx of new users while increasing the loyalty of existing users to the platform. Through the establishment of 'avatar purchase system' by 'selective switch mode' and 'avatar decorating system' by 'digilog' strategy, the experience metaverse, which has been focused on 'digital twin experience' so far, is As it develops into 'business experience', it is expected that the user experience can be further satisfied.

Mobility and productivity: brain circulation and sustainability of the Korean academic system

  • Ki-Seok Kwon;Jeongmin Park;Somin Kim
    • Asian Journal of Innovation and Policy
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    • 제12권1호
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    • pp.27-53
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    • 2023
  • The purpose of this study is to examine the unique characteristics of the Korean academic system with regard to brain circulation, with a specific emphasis on the influence of overseas-trained academics on research activities within the Korean academic system. We have analyzed the statistical data on individual characteristics and performances of 48,499 Korean academics in science and engineering. We have examined the results at both the system and individual levels within the broader context of the macro characteristics of the Korean academic system. Our analysis reveals that the total number of domestically-trained academics exceeds the number of overseas-trained academics. However, in terms of research funding, overseas-trained academics tend to receive more funding than domestically-trained academics. Furthermore, after controlling other factors such as funding, personal attributes, and environmental factors, our analysis demonstrates that overseas training has a significant and favorable impact on the publication of internationally renowned journals. As such, the presence of overseas returnees has been essential for the effective functioning of the Korean academic system in the global research network and for conducting high-quality academic research. Therefore, the advantages of dependence on scientific core countries such as the US for overseas training have persisted. Nevertheless, upon scrutinizing the group of recently appointed 5,806 academics exclusively, we have discovered that junior academics who received their education domestically exhibit sufficient academic proficiency compared to their colleagues educated overseas. This observation highlights the potential for the Korean academic system to evolve into a self-sustaining system.

The timing of unprecedented hydrological drought under climate change

  • Yusuke Satoh;Hyungjun Kim
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2023년도 학술발표회
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    • pp.48-48
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    • 2023
  • The intensified droughts under climate change are expected to threaten stable water resource availability. Droughts exceeding the magnitude of historical variability could occur increasingly frequently under future climate conditions. It is crucial to understand how drought will evolve over time because the assumption of hydrological stationarity of the past decades would be inappropriate for future water resources management. However, the timing of the emergence of unprecedented drought conditions under climate change has rarely been examined. Here, using multimodel hydrological simulations, we investigate the changes in the frequency of hydrological drought (defined as abnormally low river discharge) under high and low greenhouse gas concentration scenarios and with existing water resources management and estimate the timing of the first emergence of unprecedented regional drought conditions that persist for over several consecutive years. This new metric enables a new quantification of the urgency of adaptation and mitigation with regard to drought under climate change. The times are detected for several sub-continental-scale regions, and three regions, namely, southwestern South America, Mediterranean Europe, and northern Africa, exhibit particularly robust and earlier critical times under the high-emission scenario. These three regions are expected to confront unprecedented conditions within the next 30 years with a high likelihood, regardless of the emission scenarios. In addition, the results obtained herein demonstrate the benefits of the lower-emission pathway in reducing the likelihood of emergence. The Paris Agreement goals are shown to be effective in reducing the likelihood to the unlikely level in most regions. Nevertheless, appropriate and prior adaptation measures are considered indispensable to when facing unprecedented drought conditions. The results of this study underscore the importance of improving drought preparedness within the considered time horizons.

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Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry

  • Kyung Won Kim;Jimi Huh ;Bushra Urooj ;Jeongjin Lee ;Jinseok Lee ;In-Seob Lee ;Hyesun Park ;Seongwon Na ;Yousun Ko
    • Journal of Gastric Cancer
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    • 제23권3호
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    • pp.388-399
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    • 2023
  • Gastric cancer remains a significant global health concern, coercing the need for advancements in imaging techniques for ensuring accurate diagnosis and effective treatment planning. Artificial intelligence (AI) has emerged as a potent tool for gastric-cancer imaging, particularly for diagnostic imaging and body morphometry. This review article offers a comprehensive overview of the recent developments and applications of AI in gastric cancer imaging. We investigated the role of AI imaging in gastric cancer diagnosis and staging, showcasing its potential to enhance the accuracy and efficiency of these crucial aspects of patient management. Additionally, we explored the application of AI body morphometry specifically for assessing the clinical impact of gastrectomy. This aspect of AI utilization holds significant promise for understanding postoperative changes and optimizing patient outcomes. Furthermore, we examine the current state of AI techniques for the prognosis of patients with gastric cancer. These prognostic models leverage AI algorithms to predict long-term survival outcomes and assist clinicians in making informed treatment decisions. However, the implementation of AI techniques for gastric cancer imaging has several limitations. As AI continues to evolve, we hope to witness the translation of cutting-edge technologies into routine clinical practice, ultimately improving patient care and outcomes in the fight against gastric cancer.

디지털 기술의 발전 아래 전자 게임과 영화의 융합 연구 (Digital Technology Facilitating the Fusion of Video Games and Films)

  • 이연
    • 한국엔터테인먼트산업학회논문지
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    • 제13권4호
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    • pp.71-82
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    • 2019
  • 오늘날의 미디어 환경은 매우 복잡해지고, 이전에는 볼 수 없었던 매체 형태가 점점 세상에 나타남으로써, 미디어 융합의 추세가 점점 뚜렷해지고 있다. 미디어 융합은 최극의 핫이슈로 이미 사람들의 생활방면에 스며있다고 말할 수 있다. 이 융합의 물결 속에서 영화와 전자 게임 사이에도 거대한 변화가 일어났다. 그들 사이의 리메이크 붐은 본래 전혀 다른 성격의 두 매체가 서로 교환해서 얻을 수 있는 거대한 경제효과를 보여주었다. 그들은 매체 융합이라는 이러한 새로운 환경에서 형식, 내용, 수법, 마케팅 등 여러 방면에서 참고와 융합을 진행했다. 영화와 전자 게임의 융합이 어떤 방향으로 진행될지에 대해서는 많은 추측이 있지만, 이러한 추측의 내용은 모두 한계가 있다. 컴퓨터 가상현실 기술이 발전함에 따라 전자 게임은 인터넷과 함께 대중들에게 매우 리얼하게 시각, 청각, 촉각 등 방면의 요구를 만족시킬 수 있는 가상세계를 제공할 것이다. 그때가 되면 영화를 비롯한 각종 매체들이 전자 게임이 만들어 낸 가상세계에 철저히 녹아들 것이며 현재 진실세계에 존재하는 그러한 매체들처럼 가상세계의 하나의 원소가 될 것이다.

기업 간 제휴 활동이 제휴 성과로 이어지기 위한 선행요인에 관한 연구 (The Antecedents of Successful Alliance Performance)

  • 강성호;강하영;박흥수
    • Asia Marketing Journal
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    • 제13권2호
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    • pp.49-69
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    • 2011
  • 기업 간 제휴 활동과 관련된 많은 연구 성과에도 불구하고 경쟁 기업보다 우월한 제휴 관계를 형성하기 위한 구체적 역량과 이러한 역량이 기업의 반응과 제휴 성과에 미치는 영향에 대한 연구는 상대적으로 부족한 상황이다. 본 연구는 경쟁기업보다 우월한 제휴 성과를 달성할 수 있는 기업의 역량을 제휴 지향성(alliance orientation)으로 정의하고 제휴 관련 기업을 대상으로 자료를 수집하여 제휴 창의성과 제휴 관계 성과와의 관계를 살펴보았다. 본 연구는 다음과 같은 시사점을 제공해 준다. 첫째, 제휴 지향성을 통해 형성할 수 있는 제휴 창의성은 참신적 제휴 창의성에 한정된다는 것이다. 둘째, 제휴 지향성과 제휴 성과와의 관계에 있어 제휴 창의성의 매개적 역할은 제휴 성과 촉진을 위한 제휴 창의성의 역할 강조를 의미한다고 할 수 있다. 셋째, 제휴 지향성과 기업 성과와의 관계에 있어 제휴 관계 성과의 매개적 역할을 확인하였다는 것이다. 넷째, 제휴지향성이 기업 성과에 미치는 영향의 실질적 검증을 통해 기업 내부에서 보다 우월한 제휴 성과를 성취하기 위한 내부적 역량 강화에 대한 지침을 제공할 수 있다는 것이다. 연구 결과를 통해 성공적인 제휴 성과를 획득하기 위한 기업의 내부 역량으로서의 제휴 지향성과 제휴 창의성 그리고 제휴 관계 성과의 역할을 파악할 수 있었다.

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Defining Dusun Identity in Brunei

  • Kumpoh, Asiyah az-Zahra Ahmad
    • 수완나부미
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    • 제8권2호
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    • pp.131-159
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    • 2016
  • This qualitative study was designed to explore the definition of ethnic identity of the Dusuns in Brunei Darussalam from the perspective of Shamsul A.B.'s (1996) "everyday-defined" social reality. The purpose of this study was twofold. Firstly, by employing Phinney's (1996) formulation of ethnic identity, this study examined the existence of core components of ethnic identity, namely, ethnic self-identification, ethnic involvement, positive attitude towards ethnic group, and sense of belonging in the life of the Dusuns. Secondly, by utilizing Phinney's (1996) three-stage model of ethnic identity formation, this study investigated the relationship between core components and the formation process of ethnic identity. Twenty-six Dusun informants ranging in age from 8 to 80 years old were interviewed for the purpose of this study. The analysis of the interview data revealed that all core components exist and evolve in the life of the Dusuns. Different perspectives towards core components can also be identified across different age groups. Adult informants contested the relevance of ethnic involvement in view of socio-cultural transformations that occurred within the ethnic group, whereas younger Dusuns were not able to extend sense of belonging outside their family. These findings lead to the identification of family and historical contexts as influential factors that shape the ways the informants experienced the ethnic identity components. Further, the findings of this study indicate the relationship between core components and the formation process of ethnic identity. Sense of belonging and community is only evident in the experience of older informants, sufficient to help them reach the stage of achieving ethnic identity. This also shows a positive sequential relation between the stages in Phinney's ethnic identity model and the age of the informants. Interestingly, evidence on internalized sense of belonging reveals the fact that an individual could still attain ethnic identity achievement even without experiencing all components of ethnic identity. Once again, this study suggests contextual factors play a role in the stage progression of the Dusuns' ethnic identity.

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Analysis of trends in deep learning and reinforcement learning

  • Dong-In Choi;Chungsoo Lim
    • 한국컴퓨터정보학회논문지
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    • 제28권10호
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    • pp.55-65
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    • 2023
  • 본 논문에서는 딥러닝 및 강화학습 연구에 대해 KeyBERT(Keyword extraction with Bidirectional Encoder Representations of Transformers) 알고리즘 기반의 토픽 추출 및 토픽 출현 빈도 분석으로 급변하는 딥러닝 관련 연구 동향 분석을 파악하고자 한다. 딥러닝 알고리즘과 강화학습에 대한 논문초록을 크롤링하여 전반기와 후반기로 나누고, 전처리를 진행한 후 KeyBERT를 사용해 토픽을 추출한다. 그 후 토픽 출현 빈도로 동향 변화에 대해 분석한다. 분석된 알고리즘 모두 전반기와 후반기에 대한 뚜렷한 동향 변화가 나타났으며, 전반기에 비해 후반기에 들어 어느 주제에 대한 연구가 활발한지 확인할 수 있었다. 이는 KeyBERT를 활용한 토픽 추출 후 출현 빈도 분석으로 연구 동향변화 분석이 가능함을 보였으며, 타 분야의 연구 동향 분석에도 활용 가능할 것으로 예상한다. 또한 딥러닝의 동향을 제공함으로써 향후 딥러닝의 발전 방향에 대한 통찰력을 제공하며, 최근 주목 받는 연구 주제를 알 수 있게 하여 연구 주제 및 방법 선정에 직접적인 도움을 준다.