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With the increase in the number of network users, data information has become more abundant, and query speed and coverage have greatly improved. In this era, the problem of information leakage is relatively serious, and some malicious software has invaded the network system of user devices, increasing the threat to network security. In order to improve the analysis ability of network security situation awareness, this study designs a hierarchical network security situation awareness data fusion method under the big data environment. On the basis of data fusion technology and network security situation awareness technology, the hierarchical network security situation information is collected. Then, its features are extracted, and the network security situation awareness process is constructed based on RBF neural. By using this process, hierarchical network security situation awareness data can be obtained. The data is first sorted out and analyzed, and then the data is filtered. Finally, the matrix three decomposition data fusion algorithm is selected as the blueprint of the data fusion method. It can complete the hierarchical network security situation awareness data fusion. Experimental results show that the proposed method has high matching accuracy, little influence on the data fusion time due to the increase of data volume and low energy consumption in the fusion process. [ABSTRACT FROM AUTHOR]

Cauline leaves on the inflorescence stem of Arabidopsis thaliana may play important roles in supplying photosynthetic products to sinks, such as floral organs. Flag leaves in rice (Oryza sativa) have a higher photosynthetic capacity than other leaves, and are crucial for increasing grain yield. However, the detailed properties of stomata in cauline and flag leaves have not been investigated. In Arabidopsis, stomatal conductance and CO2 assimilation rate were higher in cauline leaves under white light than in rosette leaves, consistent with higher levels of plasma membrane (PM) H+-ATPase, a key enzyme for stomatal opening, in guard cells. Moreover, removal of cauline leaves significantly reduced the shoot biomass by approximately 20% and seed production by approximately 46%. In rice, higher stomatal density, stomatal conductance, and CO2 assimilation rate were observed in flag leaves than in fully expanded second leaves. Removal of the flag leaves significantly reduced grain yield by approximately 49%. Taken together, these results show that cauline and flag leaves have important roles in seed production and grain yield through enhanced stomatal conductance and CO2 assimilation rate. [ABSTRACT FROM AUTHOR]

Plasma membrane (PM) H+-ATPase is a master enzyme involved in various plant physiological processes, such as stomatal movements in leaves and nutrient uptake and transport in roots. Overexpression of Oryza sativa PM H+-ATPase 1 (OSA1) has been known to increase NH4+ uptake in rice roots. Although electrophysiological and pharmacological experiments have shown that the transport of many substances is dependent on the proton motive force provided by PM H+-ATPase, the exact role of PM H+-ATPase on the uptake of nutrients in plant roots, especially for the primary macronutrients N, P, and K, is still largely unknown. Here, we used OSA1 overexpression lines (OSA1-oxs) and gene-knockout osa1 mutants to investigate the effect of modulation of PM H+-ATPase on the absorption of N, P, and K nutrients through the use of a nutrient-exhaustive method and noninvasive microtest technology (NMT) in rice roots. Our results showed that under different concentrations of P and K, the uptake rates of P and K were enhanced in OSA1-oxs; by contrast, the uptake rates of P and K were significantly reduced in roots of osa1 mutants when compared with wild-type. In addition, the net influx rates of NH4+ and K+, as well as the efflux rate of H+, were enhanced in OSA1-oxs and suppressed in osa1 mutants under low concentration conditions. In summary, this study indicated that overexpression of OSA1 stimulated the uptake rate of N, P, and K and promoted flux rates of cations (i.e., H+, NH4+, and K+) in rice roots. These results may provide a novel insight into improving the coordinated utilization of macronutrients in crop plants. [ABSTRACT FROM AUTHOR]