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In order to be able to better understand the financial situation of enterprises and ensure the maximum economic benefits, the analysis of enterprise financial decisions based on the background of big data cloud accounting is proposed. Establish an enterprise cloud accounting financial decision support module that relies on big data to optimize data collection and meet the data requirements for management decision making and operation of cloud accounting financial decision support system. We provide objective and rigorous financial analysis and implement the financial decisions proposed by the management based on the most satisfying results plan in line with the development strategy of the company. The optimal classification hyperplane is constructed in the vector space using support vector machines, and the Lagrange function is introduced to solve the constraint maximization, which changes the original space mapping to seek the optimal classification surface in the vector space of higher dimensions. The SVM classifier is trained by introducing relaxation variables that solve linearly indistinguishable problems and building labeled training samples to ensure that the risk analysis requirements are met. Combined with the decision tree algorithm to predict the number of information bits, calculate the information entropy to obtain the information gain value to compare one by one, and finally complete the financial decision analysis. The analysis results show that the financial decision model is constructed in the context of big data cloud accounting, and the algorithm of this paper is used to select the best enterprise decision solution, which has an economic growth value of 22,000,000 RMB and ensures the maximum economic benefits for the enterprise.

The unreasonable use of antibiotics is one of the important causes of antimicrobial resistance (AMR) that poses a huge public health threat. Magnolol is a traditional Chinese medicine exhibiting antibacterial-, antifungal-, anti-inflammatory-, and antioxidant activities. However, it is unclear whether magnolol has an inhibitory effect on mycoplasma. This study found that magnolol showed excellent inhibitory activity against various mycoplasmas. Magnolol showed dose-dependent inhibition of Mycoplasma synoviae growth and biofilm formation in vitro. Magnolol caused severely sunken and wrinkled M. synoviae cell membranes at the minimum inhibitory concentration, and an enlarged cell diameter. The chicken embryo infection model showed that magnolol significantly reduced M. synoviae pathogenicity in vivo. Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that the citrate cycle, glycolysis/gluconeogenesis, and pyruvate metabolism were significantly disturbed at the minimum inhibitory concentration of magnolol. Interestingly, 41% of differential metabolites were in the categories of lipids and lipid-like molecules. Protegenin A was up-regulated 58752-fold after magnolol treatment. It belongs to fatty acyls, and destroys cell membrane integrity and cell activity. Ghosphatidylethanolamine, phosphatidylglycerol, phosphatidic acid, and phosphatidylserine related to membrane maintenance and stress response were widely down-regulated. Collectively, our results illustrate the feasibility of magnolol as a phytochemical compound to treat mycoplasma infection.

With the large-scale application of radar detection technology in the military field, military combat weapons, such as aircrafts, have been seriously threatened in complex environments. Developing composite materials with the integration of elasticity and microwave absorption performance to achieve high mobility, high cruise and stealth characteristics of military aircrafts whitin radar detection is one of the key measures to improve their survival and military combat capabilities. In this paper, the microwave absorption mechanisms of elastic polymer-based composites are reviewed, and various factors affecting the microwave absorbing and elastic properties are analyzed. The development direction of elastic polymer-based microwave absorbing composites in the future is expected.

The selenium-enriched lotus leaf sclerotium mycelium fermented in 20 L bio-tank was used as raw material to optimize the extraction process of selenium polysaccharide in mycelium and analyze the structure of water-soluble selenium polysaccharide through anti-cancer effect. The optimal extraction conditions of selenium polysaccharide were obtained by experiment and Box-Behnken design method: extraction time was 50 min, extraction temperature was 83 °C, ratio of material to liquid was 1:130 (g:mL), extraction times were 2 times. It is 44.62%, which is 0.02% higher than the predicted value. At this time, the selenium content in the polysaccharide reaches 31.9 μg/g. The purified selenium polysaccharide is analyzed for anticancer effect, which has proliferation inhibition effect on various human cancer cells and inhibits tumor in vivo. Growing. Keywords: Lotus leaf pleated umbrella, Mycelium, Selenium polysaccharide, Response surface analysis, Anticancer effect