No abstract

Furan, a processing-induced food contaminant, has attracted great attention due to its hepatotoxicity. To further investigate the underlying mechanism of salidroside (SAL) alleviating furan-induced liver damage, we divided Balb/c mice into the control group, the furan (8 mg/kg/day) group, and three groups of three different doses of SAL (10/20/40 mg/kg/day) in the current research. The shifted serum profile was observed through untargeted metabonomics, to which the bile acid metabolism was related, and the alleviating effect of SAL against furan-induced apoptosis was caused by the metabolism. Target bile acid quantification for the liver and serum showed that SAL positively regulated the homeostasis of bile acids disturbed by furan. Meanwhile, SAL significantly upregulated the synthesis genes of bile acids (Cyp7a1, Cyp7b1, Cyp8b1, and Cyp27a1) and the uptake transport genes (Ntcp and Oatps) and downregulated the efflux transport genes (Bsep, Ost-α, Ost-β, Mrp2, and Mrp4). Transmission electron microscopy of the bile canaliculi and tight junctions and the levels of tight junction marker proteins (ZO-1, occludin, and claudin-1) confirmed that the disruption of the hepatic tight junction was inhibited by SAL. The connection between the apoptosis- and tight junction-related proteins was observed through the construction of a protein–protein interaction network. SAL suppressed the furan-induced hepatocyte apoptosis evidenced by the detection of TUNEL and Bax, Bcl-2, and caspase-3 levels. Taken together, SAL alleviated furan-induced hepatocyte apoptosis via altering the disordered homeostasis of bile acids and hepatic tight junctions.

No abstract

This paper involves a production system, which is composed of units (workstations) and buffers. The buffer is used to store semifinished and finished products in the production process, to reduce the impacts of bad equipment in the production system on the entire system performance. Considering the characteristics of the large number of components and the state of the buffers in the production system, this paper considers the influences of buffer states on upstream and downstream units. When using the availability as the allocation index and combining it with Markov theory, the production unit (workstation) and upstream and downstream buffers are regarded as an equivalent unit (workstation) with multiple output states. We establish the relationship between the availability of each equivalent unit (workstation) and the production system availability and determine a scaling factor for the availability of the equivalent unit to account for the system availability. The expected availability goal of the production system is allocated to each equivalent unit (workstation) by the scaling factor; then, the availability of each equivalent unit (workstation) is assigned to each unit. Finally, the Plant Simulation software is used to simulate and analyze the production system to verify the correctness of the allocation method and realize the reliability allocation from a complex production system to a unit.

In order to improve the reliability of the production line and reduce its maintenance costs, this paper establishes preventive maintenance (PM) models of the equipment, which are classified into different levels based on mixed failure rate. The differential and targeted maintaining strategies are formulated as well. First, a method for dividing important equipment and secondary equipment of a production line based on grey interval Analytic Hierarchy Process- (AHP-) Entropy method is proposed. Next, the dynamic service age regression factor and the dynamic failure rate increasing factor are combined to establish a mixed failure rate model. Finally, for the important equipment and secondary equipment, two PM models are established with the constraint of reliability, the objective of maximum availability, and minimum maintenance cost rate to determine the optimal number of PM and cycles. Combined with an example of production line equipment, the optimal maintenance strategies for important equipment and secondary equipment are obtained. The result verified the feasibility of the model, which effectively improved the reliability of the production line equipment and reduced maintenance costs.