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      • Fusion of flagellin 2 with bivalent white spot syndrome virus vaccine increases survival in freshwater shrimp

        Cho, Hansam,Park, Na Hye,Jang, Yuyeon,Gwon, Yong-Dae,Cho, Yeondong,Heo, Yoon-Ki,Park, Ki-Hoon,Lee, Hee-Jung,Choi, Tae Jin,Kim, Young Bong Elsevier 2017 Journal of invertebrate pathology Vol.144 No.-

        <P><B>Abstract</B></P> <P>Despite large economic losses attributable to white spot syndrome virus (WSSV), an infectious pathogen of penaeid shrimp and other crustaceans worldwide, no efficient vaccines or antiviral agents to control the virus are available at present. Here, we designed and constructed baculovirus-based vaccines delivering genes encoding the WSSV envelope proteins, VP28 and VP19. To enhance the immunogenicity of the baculovirus-based vaccine, we fused a Salmonella typhimurium flagellin 2 (FL2) gene with VP28 or VP19 gene. Both vaccine constructs elicited similar high titlers of anti-WSSV IgG after oral immunization in mice. The protective effect of oral vaccines upon WSSV challenge was observed in Macrobrachium nipponense. Bivalent vaccine displaying WSSV envelope proteins, VP19 and VP28, led to enhanced more than 10% survival protection against WSSV infection, compared to monovalent vaccine containing WSSV envelope protein, VP19 or VP28. Furthermore, a baculovirus-based WSSV vaccine fused with FL2 gene, Ac-VP28-ie1VP19FL2, efficiently protected mice against WSSV challenge (89.5% survival rate). In support of the efficacy of FL2 in our vaccine, we verified FL2 enhanced survival rate and induced the NF-κB gene in <I>Palaemon paucidens</I>. The collective results strongly suggest that our recombinant baculoviral system displaying WSSV envelope protein and delivering FL2-fused WSSV envelope gene effectively induced protective responses, supporting the utility of a potential new oral DNA vaccine against WSSV.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Here, baculovirus-based WSSV vaccine fused with Salmonella typhimurium flagellin 2 (FL2) was constructed. </LI> <LI> Oral administration of <I>Macrobrachium nipponense</I> with the resulting vaccine (Ac-VP28-ie1VP19FL2) efficiently protected against WSSV challenge, and FL2-fused WSSV envelope gene effectively induced protective responses. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

      • 딥러닝을 이용한 임의 관측지에서의 조위 예측

        김해림(Haelim Kim),전용호(Yongho Jeon),박재형(Jaehyung Park),윤한삼(Hansam Yoon) 한국해양환경·에너지학회 2021 한국해양환경·에너지학회 학술대회논문집 Vol.2021 No.5

        본 연구에서는 임의의 관측지에서의 조위를 예측하기 위하여 인근 조위 관측소의 조위 관측자료를 입력으로 하는 딥러닝 모델을 제시한다. 시계열 데이터 예측에 뛰어나다고 알려져 있는 순환신경망(RNN, Recurrent Neural Network) 모델을 사용하였으며, 모델의 훈련 및 검증을 위하여 울산 조위관측소와 부산 조위관측소의 조위 데이터를 이용하였다. 조위 예측의 정확도를 평가하기 위하여 평균 제곱급 오차(RMSE, Root Mean Square Error) 및 상관계수(CC, Correlation Coefficient)를 계산한 결과, 각각 5cm, 0.95로 높은 정확도가 나타났다. 또한 예측된 데이터를 조화 분해하여 실제 조위 데이터의 결과와 비교하였을 때 4대 분조 모두에서 진폭 정확도 95% 이상, 위상차 4° 이하가 나타났다. In this research, tidal level of an arbitrary station is predicted by using a deep learning model. RNN (Recurrent Neural Network) model is used and tidal level data of Ulsan tide station and Busan tide station is used for model training and validation. To evaluate the model performance, accuracy of the developed model is discussed in terms of root mean square error (RMSE) and correlation coefficient (CC) of the predicted tidal level. The results indicated that the model had a high accuracy. Also, harmonic analysis is conducted to compare similarities with observed data. As a result, accuracy of the amplitude was more than 95% and the phase difference was less than 4° in all four largeness tide value.

      • KCI등재후보

        그린카 BLDC 모터의 신뢰성 시험

        유기훈(KiHoon Yoo),박부희(BooHee Park),김기태(KiTae Kim),김기영(GiYoung Kim),김달석(DalSeok Kim),장중순(JoongSoon Jang),한창수(ChangSu Hahn),조한삶(Hansam Cho) 한국신뢰성학회 2011 신뢰성응용연구 Vol.11 No.1

        BLDC(Brushless Direct Current) motor is a powerful device to control the automotive electronic components used in green cars such as HEV/EVs(Hybrid Electric Vehicle and Electric Vehicle). This study is to propose reliability test items derived through pretesting, suitability analysis abd classification of previous BLDC motor tests. For environmental stress tests are determined by analysing environmental conditions and relevant failure mechanisms induced by climate loads, mechanical loads, chemical loads, etc. ATL and HALT are also considered for life testing and screening.

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