Suchergebnisse

2020 is the year of US presidential election, with Republican candidate Donald Trump and Democratic counterpart Joe Biden running for president. In this paper, we focus on different president's policy especially on economic field. In addition, "the different policies affect both America and China's economy" is considered. This paper also gives some responds and suggestions for China to deal with different economic policies in America. Based on the instruction, we mainly solved three questions.To analyze different candidates' economic policies and explore the impact in the U.S, we establish four series of factors by using Multiple Regression (MR) and then use Analytic Hierarchy Process (AHP) to build a whole model of general factors. Specially, we choose "COVID-19 fighting measures" to be the area we will explore, and we select Susceptible Exposed Infectives Recovered (SEIR) model to predict the impact caused by COVID-19. After that, all the advantages and disadvantages can be analyzed. If Donald Trump continues his political career, the development of American economy will be predicted by Gray model according to the GDP in previous years. Oppositely, if Joe Biden successfully runs for the president, some policies will be changed, and it is helpful to predict the GDP by using MR method. The conclusion shows that Biden's policy is better than Trump's for economy in the U.S.We build a new model to predict the possible impact of different candidates elected on China's economy. The influence caused by different economic policies can be typically shown through several specific companies such as Huawei. Annual reports from different companies are collected and some data particularly related to international trade can be analyzed. Additionally, it is helpful to use Gray model and MR method to predict the companies' economic situation on behalf of some significant parts of Chinese economy. From a historical point of view, the connectivity of the world economy, the collaborative division of labor among countries and the ...

Porcine deltacoronavirus (PDCoV) has recently emerged as an enteric pathogen that can cause serious vomiting and diarrhea in suckling piglets. The first outbreak of PDCoV occurred in the United States in 2014 and was followed by reports of PDCoV in South Korea, China, Thailand, Lao People's Democratic Republic, and Vietnam, leading to economic losses for pig farms and posing a considerable threat to the swine industry worldwide. Our previous studies have shown that PDCoV encodes three accessory proteins, NS6, NS7, and NS7a, but the functions of these proteins in viral replication, pathogenesis, and immune regulation remain unclear. Here, we found that ectopic expression of accessory protein NS6 significantly inhibits Sendai virus-induced interferon beta (IFN-β) production as well as the activation of transcription factors IRF3 and NF-κB. Interestingly, NS6 does not impede the IFN-β promoter activation mediated via key molecules in the RIG-I-like receptor (RLR) signaling pathway, specifically RIG-I, MDA5, and their downstream molecules MAVS, TBK1, IKKε, and IRF3. Further analyses revealed that NS6 is not an RNA-binding protein; however, it interacts with RIG-I/MDA5. This interaction attenuates the binding of double-stranded RNA by RIG-I/MDA5, resulting in the reduction of RLR-mediated IFN-β production. Taken together, our results demonstrate that ectopic expression of NS6 antagonizes IFN-β production by interfering with the binding of RIG-I/MDA5 to double-stranded RNA, revealing a new strategy employed by PDCoV accessory proteins to counteract the host innate antiviral immune response.