ABSTRACT
The problem of blood transshipment and allocation in the context of the COVID-19 epidemic has many new characteristics, such as two-stage, trans-regional, and multi-modal transportation. Considering these new characteristics, we propose a novel multi-objective optimization model for the two-stage emergent blood transshipment-allocation. The objectives considered are to optimize the quality of transshipped blood, the satisfaction of blood demand, and the overall cost including shortage penalty. An improved integer encoded hybrid multi-objective whale optimization algorithm (MOWOA) with greedy rules is then designed to solve the model. Numerical experiments demonstrate that our two-stage model is superior to one-stage optimization methods on all objectives. The degree of improvement ranges from 0.69 to 66.26%.
ABSTRACT
Interferon-induced transmembrane proteins (IFITMs) play an important role in the innate immune response triggered by viral infection. Transmissible gastroenteritis virus (TGEV) causes severe diarrhea, vomiting and dehydration in piglets, resulting in huge economic losses to the swine industry. In this study, we showed that IFITM3 inhibits the replication of TGEV and interferes with the binding of TGEV to PK15 cells. Moreover, the inhibitory effect of IFITM3 on TGEV circumvents the upregulation of inflammatory cytokines. Subsequently, we found that the M22A mutant loses part of the antiviral effect of IFITM3 on TGEV; in contrast, the K24A mutant enhances the antiviral effect of IFITM3. Notably, our data shows a synergistic effect between IFITM3 and CQ, which further amplifies the antiviral effect against TGEV.