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  <channel rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/371">
    <title>Repository Community: null</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/371</link>
    <description />
    <items>
      <rdf:Seq>
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/60847" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/60846" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/60690" />
        <rdf:li rdf:resource="https://scholar.dgist.ac.kr/handle/20.500.11750/60688" />
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    <dc:date>2026-09-20T13:40:03Z</dc:date>
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  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/60847">
    <title>국내 주요 은행의 효율성 및 생산성 변화 분석: DEA와 Malmquist 생산성 지수를 활용하여</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/60847</link>
    <description>Title: 국내 주요 은행의 효율성 및 생산성 변화 분석: DEA와 Malmquist 생산성 지수를 활용하여
Author(s): 대학원 비전임; 김대건
Abstract: 본 연구는 디지털 전환과 인터넷 전문은행의 등장으로 경쟁이 심화된 국내 주요 은행의 효율성과 생산성 변화를 분석했다. 2020년부터 2024년까지 13개 은행의 패널 데이터를 활용해 DEA와 Malmquist 생산성 지수를 활용하여 분석하였다. 분석 결과, 인터넷전문은행이 가장 높은 경영 효율성을 보였으며 지방은행은 상대적 으로 부진했다. 특히 비효율의 원인으로 규모의 문제가 많이 나타났는데, 시중은행은 IRS(규모수익체증) 상태를, 지방은행은 IRS와 DRS(규모수익체감) 상태가 혼재된 모습을 보였다. 생산성 측면에서 시중은행은 기술혁신을, 일부 지방은행은 내부 효율화 개선을 통해 생산성을 높이는 이원화된 성장 패턴이 확인되었다. 본 연구는 국내 은행 산업이 기술과 규모에 따라 구조적으로 분화되고 있음을 시사하며, 그룹별 차별화된 전략의 필요성을 제기한다는 점에서 의의를 가진다.</description>
    <dc:date>2025-10-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/60846">
    <title>Cold-injection synthesis of highly emissive perovskite nanocrystals</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/60846</link>
    <description>Title: Cold-injection synthesis of highly emissive perovskite nanocrystals
Author(s): Kim, Sungjin; Kim, Sun-Ah; Park, Gyeong-Su; Kim, Eonsu; Kim, Dong-Hyeok; Lee, Seung-Chul; Woo, Seung-Je; Jang, Youngwoo; Kweon, Jin Jung; Kang, Sungsu; Lee, Minyoung; Yun, Hyung Joong; Park, Sunghee; Shim, Hyun-Joon; Kim, Joo Sung; Jang, Kyung Yeon; Sung, Min-Jun; Park, Chan-Yul; Chang, Seong Eui; Park, Jinwoo; Park, Jungwon; Lee, Sung Keun; Lee, Tae-Woo
Abstract: Colloidal perovskite nanocrystal (PeNC) has long been synthesized using the hot-injection method and room-temperature ligand-assisted reprecipitation as the prominent techniques(1,2). However, both methods have challenges for industrial-scale production(3, 4-5): the hot-injection method requires high temperatures, an inert gas environment and rapid cooling, which raise safety concerns, whereas ligand-assisted reprecipitation can exhibit limited productivity on scale-up. Here we present a cold-injection method based on pseudo-emulsion, enabling scalable synthesis of PeNCs with near-unity photoluminescence quantum yield (PLQY, similar to 100%) and enhanced stability by injecting precursor solution below 4 degrees C. In the cold-injection method, PeNCs grow through the assembly of fully coordinated plumbates out of the pseudo-emulsion with the assistance of a demulsifier. We discovered that slow assembly of polybromide plumbates, assisted by cold temperature, is essential for defect suppression, resulting in reproducible, stable and pure-green-emitting PeNCs with near-unity PLQY. Furthermore, this method enables efficient large-scale production, achieving 20-l-scale synthesis with remarkable batch weight while maintaining near-unity PLQY. Our findings represent a substantial advancement in synthesis of high-quality PeNCs, offering potential for broad applications in display and lighting industries.</description>
    <dc:date>2026-02-28T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/60690">
    <title>Identification of a robust multitarget protein panel for Parkinson’s disease via absolute quantification and large-scale external replication</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/60690</link>
    <description>Title: Identification of a robust multitarget protein panel for Parkinson’s disease via absolute quantification and large-scale external replication
Author(s): Lee, Ho-Won; Choi, Youngtae; Lee, Shinrye; Kim, Jung-Eun; Jeon, Min-Tae; Jo, Myungjin; Park, Gyuri; Park, Jin-Sung; Kim, Do-Geun; Cheon, Mookyung; Kim, Hyung-Jun
Abstract: This study aimed to identify and validate a robust, generalizable panel of plasma protein biomarkers to improve diagnostic precision in Parkinson’s disease. We analysed plasma samples from 12 patients with [18F]-FP-CIT PET-confirmed Parkinson’s disease and 15 healthy controls using the Olink Target 96 Inflammation Panel to identify differentially expressed proteins. Candidate biomarkers were subsequently validated through absolute quantification using Luminex and Olink Flex platforms in an independent cohort of 46 patients with Parkinson’s disease and 33 amyloid-negative and cognitively normal control participants. To assess generalizability, the findings were replicated across multiple heterogeneous populations using large-scale datasets from the UK Biobank and Global eurodegeneration Proteomics Consortium (GNPC) cohorts. Markers of neurodegeneration [neurofilament light chain (NfL)] and Alzheimer’s disease [phosphorylated tau (pTau181), amyloid β [Aβ]42, Aβ40] co-pathology were measured using the single molecule array platform. Our analyses revealed elevated levels of interleukin (IL)-10 and IL-17C and reduced levels of urokinase plasminogen activator (uPA) and neurotrophin-3 (NTF3) in patients with Parkinson’s disease. These findings were confirmed in the validation cohort. Multitarget models demonstrated superior diagnostic performance over individual markers, with the combination of IL-17C and uPA achieving the highest discrimination (area under the curve = 0.780). External validation in the UK Biobank and NPC datasets confirmed consistent directional changes of three candidates (IL-17C, NTF3 and uPA), reinforcing the biological relevance of these markers. Notably, while NfL levels were significantly elevated in Parkinson’s disease, no significant differences were observed for pTau181 levels or Aβ42/Aβ40 ratios. These findings identify a specific plasma protein panel, particularly the combination of IL-17C and uPA, as a robust and generalizable diagnostic signature that captures fundamental pathophysiological aspects of Parkinson’s disease and enhances diagnostic precision alongside established biomarkers.</description>
    <dc:date>2025-12-31T15:00:00Z</dc:date>
  </item>
  <item rdf:about="https://scholar.dgist.ac.kr/handle/20.500.11750/60688">
    <title>Cold-injection synthesis of highly emissive perovskite nanocrystals</title>
    <link>https://scholar.dgist.ac.kr/handle/20.500.11750/60688</link>
    <description>Title: Cold-injection synthesis of highly emissive perovskite nanocrystals
Author(s): Kim S.; Kim S.-A.; Park G.-S.; Kim E.; Kim D.-H.; Lee S.-C.; Woo S.-J.; Jang Y.; Kweon J.J.; Kang S.; Lee M.; Yun H.J.; Park S.; Shim H.-J.; Kim J.S.; Jang K.Y.; Sung M.-J.; Park C.-Y.; Chang S.E.; Park J.; Lee S.K.; Lee T.-W.
Abstract: Colloidal perovskite nanocrystal (PeNC) has long been synthesized using the hot-injection method and room-temperature ligand-assisted reprecipitation as the prominent techniques1,2. However, both methods have challenges for industrial-scale production3–5 : the hot-injection method requires high temperatures, an inert gas environment and rapid cooling, which raise safety concerns, whereas ligand-assisted reprecipitation can exhibit limited productivity on scale-up. Here we present a coldinjection method based on pseudo-emulsion, enabling scalable synthesis of PeNCs with near-unity photoluminescence quantum yield (PLQY, ~100%) and enhanced stability by injecting precursor solution below 4 °C. In the cold-injection method, PeNCs grow through the assembly of fully coordinated plumbates out of the pseudoemulsion with the assistance of a demulsifier. We discovered that slow assembly of polybromide plumbates, assisted by cold temperature, is essential for defect suppression, resulting in reproducible, stable and pure-green-emitting PeNCs with near-unity PLQY. Furthermore, this method enables efficient large-scale production, achieving 20-l-scale synthesis with remarkable batch weight while maintaining near-unity PLQY. Our findings represent a substantial advancement in synthesis of high-quality PeNCs, offering potential for broad applications in display and lighting industries.</description>
    <dc:date>2026-02-28T15:00:00Z</dc:date>
  </item>
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