Porcine infectious pleuropneumonia (PCP) caused by Actinobacillus pleuropneumoniae (APP) leads to severe economic losses in swine production. Commercial vaccines offer limited cross-protection for the 19 serotypes, while APP mRNA vaccines remain unexplored. This study evaluated eight candidate APP proteins (ApxI-IV, OlmA, TbpB, GalT, and GalU) using immunobioinformatics tools, and their immunogenicity and cross-protection were assessed in a mouse model. The results revealed that ApxI and ApxII excel due to their s…

Porcine contagious pleuropneumonia (PCP), caused by Actinobacillus pleuropneumoniae (APP), is a highly contagious disease that leads to significant economic losses in the swine industry. Current vaccines are ineffective due to the presence of multiple serotypes and the absence of a predominant seasonal serotype, underscoring the need for vaccines with broad-spectrum protection. Previous studies identified galT and galU as promising antigen candidates. In this study, we expressed and characterized a soluble recombi…

This paper proposes a reinforcement learning-based method for microservice resource scheduling and optimization, aiming to address issues such as uneven resource allocation, high latency, and insufficient throughput in traditional microservice architectures. In microservice systems, as the number of services and the load increase, efficiently scheduling and allocating resources such as computing power, memory, and storage becomes a critical research challenge. To address this, the paper employs an intelligent sche…

Abstract Synoptically forced uplift plays an important role in the initiation of springtime mesoscale convective systems (MCSs) over the U.S. Great Plains by removing convective inhibition. In this study, we quantitatively diagnose these uplift mechanisms by solving the quasi‐geostrophic omega equation in Q‐vector form. To provide a process‐based assessment, Q vectors are decomposed into shearwise (i.e., along‐isentrope) and transverse components (i.e., cross‐isentrope), representing the Lagrangian changes in the …

The middle and lower reaches of the Yangtze River (MLYR) suffers from extreme precipitation (EP) during summer, which has a huge impact on human society and ecosystem. However, the large spreads among climate models hinder their application in future risk assessment. In this work, four typical synoptic patterns (SPs) triggering EP over MLYR are identified based on the clustering algorithm. And we found a significant linear correlation between the CMIP6 (sixth phase of Coupled Model Intercomparison Project) models&…