Severe acute pancreatitis is the systemic inflammatory reaction caused by the preternatural activation of trypsogen. The necrotizing pancrea as the antigen or stimulant, activiates immunocyte and in-flammatory cell to release a great deal of cytokines, including proinflammatery factor and anti-inflammatory factor. The former aggravates the damage of constitution, the latter could antigonize the damage of anti-inflam-matory factor. The unbalance of pro-and anti-inflammatory cytokines ,leads to the occurrence of systemic in-flammatory syndrome, even the mutiple organ failure.

Objective Few studies are reported on the construction of a finite element model of human complex knee joint using multimodality CT and MRI images.In this study, we developed a finite element model of the knee joint for total knee arthroplasty (TKA) using matched and fused CT and MRI data, hoping to provide a useful tool for the simulation study of knee joint biomechanics of TKA.Methods The CT and MRI image data about an intact knee of a 26-year-old male volunteer were imported into the Mimics software for the establishment of 3D models of bony and soft-tissue structures.A complete knee model was developed following the registration and fusion of the constructed 3D models based on the external landmarks.After the simulated implantation of TKA components, a finite element model of the TKA knee was constructed with the Hypermesh software.Then the finite element model was analyzed following the definition of its material behavior, boundary conditions and loading.Results The finite element model of the TKA knee, which was composed of bones, ligaments, components, polyethylene insert and bone cement, was developed from CT-MRI image registration and fusion and maintained its important spatial relationship among different structures in the TKA knee.The results obtained from the finite element analysis showed the characteristics of stress distribution in the TKA knee.Conclusion The finite element model of the knee joint for TKA can be established by matching and fusing CT and MRI image data, which can be employed as a useful tool for the study of knee joint biomechanics of TKA.

As a secondary preventive measure for patients with coronary heart disease, cardiac rehabilitation can improve their quality of life and reduce mortality. One key aspect is to ensure that patients receive sufficient information. This article provides a review of the content, influencing factors, and support strategies for the cardiac rehabilitation information needs of patients with coronary heart disease, in order to provide reference for establishing a secondary prevention strategy for patients with coronary heart disease guided by information needs.

Objective To use analytic hierarchy process(AHP)-entropy weight method to evaluate the quality of symbiotic Armillaria in Gastrodia elata Bl.Methods The physiological,growth and chemical indexes of 6 strains of G.elata symbiotic Armillaria were used as evaluation factors,and the weight coefficients of each index were calculated by the AHP-entropy weight method.A comprehensive quality evaluation system was established to evaluate the quality of Armillaria strains,and the results were verified by red G.elata and hybrid G.elata combined planting experiments.Results The quality evaluation results showed that extracellular xylanase activity,extracellular cellulase activity and total sugar weight were relatively high,among which strains N6 and N3 ranked the top.The results showed that strains N5 and N4 combined with red G.elata had better quality,that strains N6 and N3 combined with hybrid G.elata had better quality.Conclusion The correlation of extracellular xylanase activity and total sugar of cellulase activity should be paid attention to in the quality evaluation of symbiotic Armillaria in G.elata.The quality evaluation system constructed in this artilcle is basically consistent with the results of hybrid G.elata combined with hybrid G.elata experiment,which can provide references for the quality screening of symbiotic Armillaria in G.elata.