[Objectives]This study was conducted to find a convenient and reliable method for detecting the virus titer of porcine circovirus type 2(PCV2).[Methods]The reaction conditions of the immunoperoxidase monolayer assay(I...[Objectives]This study was conducted to find a convenient and reliable method for detecting the virus titer of porcine circovirus type 2(PCV2).[Methods]The reaction conditions of the immunoperoxidase monolayer assay(IPMA)method for detecting the viral titer of PCV2 were optimized,and the results were compared with those obtained by indirect immunofluorescence assay(IFA).[Results]PCV2-infected cells exhibited brownish-red staining in either the nucleus or cytoplasm when detected by IPMA,and the detection results were largely consistent with IFA detection.[Conclusions]Both IPMA and IFA methods can be effectively used for determination of PCV2 viral titer,providing reliable support for assessing viral content during PCV2 vaccine development and validating virus inactivation efficacy.展开更多
文摘针对现有变电站碳排放量预测模型存在考虑指标较少、数据更新慢等问题,本文提出一种基于改进萤火虫算法(improved firefly algorithm,IFA)优化反向传播(back propagation,BP)神经网络的变电站碳排放预测模型。首先,针对萤火虫算法(firefly algorithm,FA)收敛速度过慢以及易陷入局部最优等问题,引入教与学因子,修改萤火虫位置更新过程,以提高群体适应度。其次,引入IFA算法对BP神经网络模型进行超参数寻优,并构建IFA-BP神经网络预测模型。然后,基于CRITIC法筛选预测模型输入层的关键碳排放指标。最后,利用训练集数据训练预测模型,基于训练好的模型对变电站的碳排放量进行预测。仿真结果表明,相较于3种对比方案,本文IFA-BP神经网络预测模型分别在均方根误差(root mean square error,RMSE)上降低59.61%、15.77%和26.65%,在决定系数(coefficient of determination,R^(2))上提高5.66%、1.46%和1.15%,充分验证了本文所提变电站碳排放预测模型的可行性与优越性。
基金Supported by General Project of Shandong Provincial Natural Science Foundation(ZR2022MC173)Binzhou Young Science and Technology Rising Star Program(QMX2023004)Binzhou Comprehensive Experimental Station of Shandong Swine Industry Technology System Project(SDAIT-08-13).
文摘[Objectives]This study was conducted to find a convenient and reliable method for detecting the virus titer of porcine circovirus type 2(PCV2).[Methods]The reaction conditions of the immunoperoxidase monolayer assay(IPMA)method for detecting the viral titer of PCV2 were optimized,and the results were compared with those obtained by indirect immunofluorescence assay(IFA).[Results]PCV2-infected cells exhibited brownish-red staining in either the nucleus or cytoplasm when detected by IPMA,and the detection results were largely consistent with IFA detection.[Conclusions]Both IPMA and IFA methods can be effectively used for determination of PCV2 viral titer,providing reliable support for assessing viral content during PCV2 vaccine development and validating virus inactivation efficacy.
