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오리발 유래 콜라겐과 탈미네랄화된 골분 스펀지에서 골 분화능력평가
차재근(Jae Geun Cha),차세롬(Se Rom Cha),이대훈(Dae Hoon Lee),신재훈(Jae Hun Shin),송정은(Jeong Eun Song),서동삼(Dong Sam Suh),박찬흠(Chan Hum Park),강길선(Gilson Khang) 한국고분자학회 2016 폴리머 Vol.40 No.6
본 연구에서는 오리발 콜라겐(duck’s feet derived collagen, DC)과 탈미네랄화된 골분(demineralized bone particles, DBP)을 3:1, 1:1, 1:3 비율로 혼합하여 스펀지를 제조하였다. 제조한 스펀지의 특성분석을 위해 압축강도, 다공성, SEM 등을 측정하였으며, 골수 유래 줄기세포(BMSC)를 비율별 DC/DBP 스펀지에 파종하여, 세포 부착, 증식 및 골 분화를 확인하고자, SEM, MTT, ALP, RT-PCR 및 조직학적 염색을 통한 분석을 실시하였다. 그 결과, 1:1 DC/DBP 스펀지에서 골 분화 효과가 우수한 것을 확인하였으며, 이를 골 재생을 위한 생체재료로 활용할 수 있을 것으로 기대된다. In this study, duck"s feet derived collagen (DC) and demineralized bone particles (DBP) sponges were prepared by mixing both the components on the ratio of 3:1, 1:1, and 1:3. The physio-chemical properties of the sponges were examined by measuring compressive strength, porosity, SEM, etc. In vitro biological characterizations such as cell attachment, proliferation and osteogenic differentiation of the as-prepared sponges were studied by inoculating the bone marrow-derived stem cells (BMSC) in ratio-specific DC/DBP sponges followed by SEM, MTT, ALP, RT-PCR & histological analysis by staining. We found that the 1:1 DC/DBP sponges displayed superior osteogenesis, thus can be envisioned as a potential, biomaterial for regeneration of bone.
다중 클러스터를 지원하는 3LT 클라우드 엣지 플랫폼 구현
장수민(Su-Min Jang),서지현(Ji-Hyun Seo),차재근(Jae-geun Cha),최현화(Hyun-Hwa Choi),김대원(Dae-Won Kim),김선욱(Sun-Wook kim) 대한전자공학회 2023 대한전자공학회 학술대회 Vol.2023 No.6
Recently, edge computing technology has been applied to low-latency application services such as autonomous vehicles to enable fast data processing and intelligent services. However, these lowlatency services require the deployment of multiple clusters across various geographical locations to provide uninterrupted and continuous services between regions. Unfortunately, various service failures have been occurring. To address these challenges, we aim to develop a platform that enhances the high availability of related applications and integrates cloud services to enable large-scale AI applications, not only in edge computing environments. Therefore, this paper presents the design and implementation of the 3LT cloud-edge platform, which supports multiple clusters and offers diverse forms of services.