• 제목/요약/키워드: Convergence science

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A Note on Convergence of Fuzzy Variables

  • Hong, Dug-Hun;Kim, Kyung-Tae
    • Journal of the Korean Data and Information Science Society
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    • 제16권4호
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    • pp.1013-1015
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    • 2005

  • Liu[Fuzzy Optimization and Decision Making, 2(2003), 87-100] proved that convergence in credibility does not imply convergence a.s. and convergence in mean does not imply convergence a.s. by giving counter-examples. But these examples are not true. In this note, we prove that convergence in credibility implies convergence a.s. and convergence in mean implies convergence a.s.

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국가 연구개발(R&D) 과제 데이터 기반 동적 융합지표에 관한 연구: 생명·보건의료 분야를 중심으로 (Nationally-Funded R&D Projects Data Based Dynamic Convergence Index Development: Focused On Life Science & Public Health Area)

  • 이도연;김근환
    • 한국산업융합학회 논문집
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    • 제25권2_2호
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    • pp.219-232
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    • 2022

  • The aim of this study is to provide the dynamic convergence index that reflected the inherent characteristics of the convergence phenomenon and utilized the nationally-funded R&D projects data, thereby suggesting useful information about the direction of the national convergence R&D strategy. The dynamic convergence index that we suggested was made of two indicators: persistency and diversity. From a time-series perspective, the persistency index, which measures the degree of continuous convergence of multidisciplinary nationally-funded R&D projects, and the diversity index, which measures the degree of binding with heterogeneous research areas. We conducted the empirical experiment with 151,248 convergence R&D projects during the 2015~2021 time period. The results showed that convergence R&D projects in both public health and life sciences appeared the highest degree of persistency. It was presumed that the degree of persistency has increased again due to the COVID-19 pandemic. Meanwhile, the degree of diversity has risen with combining with disciplinary such as materials, chemical engineering, and brain science areas to solve social problems including mental health, depression, and aging. This study not only provides implications for improving the concept and definition of dynamic convergence in terms of persistency and diversity for national convergence R&D strategy but also presented dynamic convergence index and analysis methods that can be practically applied for directing public R&D programs.

  • https://doi.org/10.21289/KSIC.2022.25.2.219 인용 PDF KSCI HTML

Evolution of Radiological Treatment Response Assessments for Cancer Immunotherapy: From iRECIST to Radiomics and Artificial Intelligence

  • Nari Kim;Eun Sung Lee;Sang Eun Won;Mihyun Yang;Amy Junghyun Lee;Youngbin Shin;Yousun Ko;Junhee Pyo;Hyo Jung Park;Kyung Won, Kim
    • Korean Journal of Radiology
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    • 제23권11호
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    • pp.1089-1101
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    • 2022

  • Immunotherapy has revolutionized and opened a new paradigm for cancer treatment. In the era of immunotherapy and molecular targeted therapy, precision medicine has gained emphasis, and an early response assessment is a key element of this approach. Treatment response assessment for immunotherapy is challenging for radiologists because of the rapid development of immunotherapeutic agents, from immune checkpoint inhibitors to chimeric antigen receptor-T cells, with which many radiologists may not be familiar, and the atypical responses to therapy, such as pseudoprogression and hyperprogression. Therefore, new response assessment methods such as immune response assessment, functional/molecular imaging biomarkers, and artificial intelligence (including radiomics and machine learning approaches) have been developed and investigated. Radiologists should be aware of recent trends in immunotherapy development and new response assessment methods.

  • https://doi.org/10.3348/kjr.2022.0225 인용 PDF