Since its discovery in the 1980s,the insect cell-baculovirus expression vector system(IC-BEVS)has been widely used in biomedical applications,such as recombinant protein expression,drug screening,vaccine development,g...Since its discovery in the 1980s,the insect cell-baculovirus expression vector system(IC-BEVS)has been widely used in biomedical applications,such as recombinant protein expression,drug screening,vaccine development,gene therapy and so on[1].As a eukaryotic system,IC-BEVS has great development prospects due to its advantages such as high safety,simple operation,simultaneous expression of multi-subunit proteins,and suitability for large-scale cultivation[2].展开更多
为了解我国牛肠道病毒(BEV)流行现状,为其防控提供理论依据,本试验从四川省成都市某牛场的腹泻病牛粪便样本中分离得到1株病毒,将其命名为SC-726并进行后续研究。将SC-726接种牛肾细胞(MDBK)后观察细胞病变效应(CPE),计算病毒含量,使用...为了解我国牛肠道病毒(BEV)流行现状,为其防控提供理论依据,本试验从四川省成都市某牛场的腹泻病牛粪便样本中分离得到1株病毒,将其命名为SC-726并进行后续研究。将SC-726接种牛肾细胞(MDBK)后观察细胞病变效应(CPE),计算病毒含量,使用透射电子显微镜观察该病毒的形态特征,分析其理化特性、核酸型和细胞嗜性,绘制一步生长曲线,最后对该分离株进行5′非翻译区(5′UTR)基因测序以分析其遗传演化。结果显示,SC-726分离株感染MDBK细胞后,细胞发生明显的CPE;病毒最高滴度为1×10^(6.2) TCID_(50)/0.1 m L;电镜下观察到直径约30 nm的无囊膜球形粒子,符合传统小RNA病毒形态学特征;理化特性鉴定结果显示,该分离株几乎不受有机溶剂(乙醚、氯仿)和胰蛋白酶的影响,同时具有一系列与BEV相符的特征,如耐酸、不耐强碱、热敏感;DNA抑制剂阿糖胞苷(Ara-C)对该病毒滴度无影响,判定为RNA病毒;SC-726株能够在MDBK、乳仓鼠肾细胞(BHK-21)、猪肾细胞(PK-15)、非洲绿猴胚胎肾细胞(Marc-145)和犬肾细胞(MDCK)等多种动物细胞上增殖;遗传进化分析结果显示,该分离株为F型牛肠道病毒(BEV-F)。本试验从腹泻牛粪便样本中成功分离出1株BEV-F,进一步丰富了我国BEV资料库,为该病毒病的防治提供了理论依据。展开更多
The transportation sector is responsible for 25% of the total Carbon dioxide (CO2) emissions, whereas 60.6% of this sector represents small and medium passenger cars. However, as noted by the European Union Long-term ...The transportation sector is responsible for 25% of the total Carbon dioxide (CO2) emissions, whereas 60.6% of this sector represents small and medium passenger cars. However, as noted by the European Union Long-term strategy, there are two ways to reduce the amount of CO2 emissions in the transportation sector. The first way is characterized by creating more efficient vehicles. In contrast, the second way is characterized by changing the fuel used. The current study addressed the second way, changing the fuel type. The study examined the potential of battery electric vehicles (BEVs) as an alternative fuel type to reduce CO2 emissions in Hungarys transportation sector. The study used secondary data retrieved from Statista and stata.com to analyze the future trends of BEVs in Hungary. The results showed that the percentage of BEVs in Hungary in 2022 was 0.4% compared to the total number of registered passenger cars, which is 3.8 million. The simple exponential smoothing (SES) time series forecast revealed that the number of BEVs is expected to reach 84,192 in 2030, indicating a percentage increase of 2.21% in the next eight years. The study suggests that increasing the number of BEVs is necessary to address the negative impact of CO2 emissions on society. The Hungarian Ministry of Innovation and Technologys strategy to reduce the cost of BEVs may increase the percentage of BEVs by 10%, resulting in a potential average reduction of 76,957,600 g/km of CO2 compared to gasoline, diesel, hybrid electric vehicles (HEVs), and plug-in hybrid vehicles (PHEVs).展开更多
Statistical Energy Analysis(SEA) is one of the conventional tools for predicting vehicle high-frequency acoustic responses.This study proposes a new method that can provide customized optimization solutions to meet NV...Statistical Energy Analysis(SEA) is one of the conventional tools for predicting vehicle high-frequency acoustic responses.This study proposes a new method that can provide customized optimization solutions to meet NVH targets based on the specific needs of different project teams during the initial project stages.This approach innovatively integrates dynamic optimization,Radial Basis Function(RBF),and Fuzzy Design Variables Genetic Algorithm(FDVGA) into the optimization process of Statistical Energy Analysis(SEA),and also takes vehicle sheet metal into account in the optimization of sound packages.In the implementation process,a correlation model is established through Python scripts to link material density with acoustic parameters,weight,and cost.By combining Optimus and VaOne software,an optimization design workflow is constructed and the optimization design process is successfully executed.Under various constraints related to acoustic performance,weight and cost,a globally optimal design is achieved.This technology has been effectively applied in the field of Battery Electric Vehicle(BEV).展开更多
文摘Since its discovery in the 1980s,the insect cell-baculovirus expression vector system(IC-BEVS)has been widely used in biomedical applications,such as recombinant protein expression,drug screening,vaccine development,gene therapy and so on[1].As a eukaryotic system,IC-BEVS has great development prospects due to its advantages such as high safety,simple operation,simultaneous expression of multi-subunit proteins,and suitability for large-scale cultivation[2].
文摘为了解我国牛肠道病毒(BEV)流行现状,为其防控提供理论依据,本试验从四川省成都市某牛场的腹泻病牛粪便样本中分离得到1株病毒,将其命名为SC-726并进行后续研究。将SC-726接种牛肾细胞(MDBK)后观察细胞病变效应(CPE),计算病毒含量,使用透射电子显微镜观察该病毒的形态特征,分析其理化特性、核酸型和细胞嗜性,绘制一步生长曲线,最后对该分离株进行5′非翻译区(5′UTR)基因测序以分析其遗传演化。结果显示,SC-726分离株感染MDBK细胞后,细胞发生明显的CPE;病毒最高滴度为1×10^(6.2) TCID_(50)/0.1 m L;电镜下观察到直径约30 nm的无囊膜球形粒子,符合传统小RNA病毒形态学特征;理化特性鉴定结果显示,该分离株几乎不受有机溶剂(乙醚、氯仿)和胰蛋白酶的影响,同时具有一系列与BEV相符的特征,如耐酸、不耐强碱、热敏感;DNA抑制剂阿糖胞苷(Ara-C)对该病毒滴度无影响,判定为RNA病毒;SC-726株能够在MDBK、乳仓鼠肾细胞(BHK-21)、猪肾细胞(PK-15)、非洲绿猴胚胎肾细胞(Marc-145)和犬肾细胞(MDCK)等多种动物细胞上增殖;遗传进化分析结果显示,该分离株为F型牛肠道病毒(BEV-F)。本试验从腹泻牛粪便样本中成功分离出1株BEV-F,进一步丰富了我国BEV资料库,为该病毒病的防治提供了理论依据。
文摘The transportation sector is responsible for 25% of the total Carbon dioxide (CO2) emissions, whereas 60.6% of this sector represents small and medium passenger cars. However, as noted by the European Union Long-term strategy, there are two ways to reduce the amount of CO2 emissions in the transportation sector. The first way is characterized by creating more efficient vehicles. In contrast, the second way is characterized by changing the fuel used. The current study addressed the second way, changing the fuel type. The study examined the potential of battery electric vehicles (BEVs) as an alternative fuel type to reduce CO2 emissions in Hungarys transportation sector. The study used secondary data retrieved from Statista and stata.com to analyze the future trends of BEVs in Hungary. The results showed that the percentage of BEVs in Hungary in 2022 was 0.4% compared to the total number of registered passenger cars, which is 3.8 million. The simple exponential smoothing (SES) time series forecast revealed that the number of BEVs is expected to reach 84,192 in 2030, indicating a percentage increase of 2.21% in the next eight years. The study suggests that increasing the number of BEVs is necessary to address the negative impact of CO2 emissions on society. The Hungarian Ministry of Innovation and Technologys strategy to reduce the cost of BEVs may increase the percentage of BEVs by 10%, resulting in a potential average reduction of 76,957,600 g/km of CO2 compared to gasoline, diesel, hybrid electric vehicles (HEVs), and plug-in hybrid vehicles (PHEVs).
文摘Statistical Energy Analysis(SEA) is one of the conventional tools for predicting vehicle high-frequency acoustic responses.This study proposes a new method that can provide customized optimization solutions to meet NVH targets based on the specific needs of different project teams during the initial project stages.This approach innovatively integrates dynamic optimization,Radial Basis Function(RBF),and Fuzzy Design Variables Genetic Algorithm(FDVGA) into the optimization process of Statistical Energy Analysis(SEA),and also takes vehicle sheet metal into account in the optimization of sound packages.In the implementation process,a correlation model is established through Python scripts to link material density with acoustic parameters,weight,and cost.By combining Optimus and VaOne software,an optimization design workflow is constructed and the optimization design process is successfully executed.Under various constraints related to acoustic performance,weight and cost,a globally optimal design is achieved.This technology has been effectively applied in the field of Battery Electric Vehicle(BEV).
