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Park, Chulmin,Kwon, Eun-Young,Choi, Su-Mi,Cho, Sung-Yeon,Byun, Ji-Hyun,Park, Jung Yeon,Lee, Dong-Gun,Kang, Jin Han,Shin, Jinhwan,Kim, Hun TaylorFrancis 2017 Human vaccines & immunotherapeutics Vol.13 No.5
<P><B>ABSTRACT</B></P><P>Animal models facilitate evaluation of vaccine efficacy at relatively low cost. This study was a comparative evaluation of the immunogenicity and protective efficacy of a new 13-valent pneumococcal conjugate vaccine (PCV13) with a control vaccine in a mouse model.</P><P>After vaccination, anti-capsular antibody levels were evaluated by pneumococcal polysaccharide (PnP) enzyme-linked immunosorbent assay (ELISA) and opsonophagocytic killing assay (OPA). Also, mice were challenged intraperitoneally with 100-fold of the 50% lethal dose of <I>Streptococcus pneumoniae</I>.</P><P>The anti-capsular IgG levels against serotypes 1, 4, 7F, 14, 18C, 19A, and 19F were high (quartile 2 >1,600), while those against the other serotypes were low (Q2 ≤ 800). Also, the OPA titres were similar to those determined by PnP ELISA. Comparative analysis between new PCV13 and control vaccination group in a mouse model exhibited significant differences in serological immunity of a few serotypes and the range of anti-capsular IgG in the population. Challenge of wild-type or neutropenic mice with serotypes 3, 5, 6A, 6B, and 9V showed protective immunity despite of induced relatively low levels of anti-capsular antibodies. With comparison analysis, a mouse model should be adequate for evaluating serological efficacy and difference in the population level as preclinical trial.</P>
리튬이온 배터리 셀의 제작 불확실성에 의한 불량률 및 성능 편차 저감을 위한 신뢰성 기반 강건 최적설계
박진환(Jinhwan Park),유동현(Donghyeon Yoo),김창완(Chang-Wan Kim) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
Lithium-ion batteries (LIBs) have been widely used in electric vehicles (EVs) and large-capacity energy storage systems (ESSs) due to their advantages such as high energy density and high power density. However, the manufacturing uncertainty of the LIB cell increases the failure rate and causes cell-to-cell variation, which reduces the performance of the battery. In this paper, Reliability-Based Robust Design Optimization (RBRDO) was used to improve the reliability and robustness of LIB cell manufacturing uncertainty. Using RBRDO, the energy density of the LIB cell was maximized, while the failure rate and cell-to-cell variation were reduced. To verify the superiority of RBRDO, Deterministic Design Optimization (DDO) and Reliability-Based Design Optimization (RBDO) were performed and compared with the results of RBRDO.