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The fatigue characteristic of 2124 aluminum alloy in T851 condition was investigated by means of scanning electron microscopy (SEM) and transmission electron microscope (TEM). And the result shows that, the fatigue life is closely related to the thickness of plates, this is because that different thickness of plates results in the variation of grain size, grain boundaries and substructures of alloy, which thus influence the fatigue behavior of 2124-T851 alloy. The number of grain boundaries along the propagation direction of cracks and the amount of substructures after heat treatment increase with the decline of thicknesses of 2124 alloy plates, while the grain size is reverse. However, no obvious size and dispersion changes for the precipitates. Comparatively, the fatigue resistance performance of 30mm thickness plate is better than the 40mm and 55mm thickness plates, which is due to the more profitable grain size, grain boundary and substructure.

Nowadays, extensive use of copper in electric industries has severely contaminated aquatic environments. To address this issue, combining fungal biomass with nanomaterials is considered as an efficient way for adsorbing heavy metals from wastewater. In this work, a novel composite material "Fungal mycelium coupled with Carbon nanotubes" (FM-CNTs) was synthesized and used for adsorption of Cu(II) ions in aqueous solution. To begin with, potassium permanganate and concentrated nitric acid were used as strong oxidants to modify the surface of CNTs, creating additional carboxyl groups for coupling with amine groups from the surface of FM. Next, various characterization approaches such as SEM-EDX, FT-IR, XPS and TGA, were used to investigate the interaction between FM-CNTs and Cu(II) ions. Characterization results showed that the surface of FM-CNTs were significantly changed after absorbing Cu(II) ions. Further, the effect of pH on adsorption capacity of FM-CNTs for Cu(II) was explored, showing that FM-CNTs had the best adsorption performance at pH of 5. Finally, Langmuir-Freundlich isothermal models were performed to analyze the adsorption behavior of FM-CNTs for Cu(II). The experimental data from the adsorption of Cu(II) by FM-CNTs were best fitted to the Langmuir model, and the maximum adsorption amount of the FMCNTs for Cu(II) was found to be 342.22 mg/g. More importantly, FM-CNTs showed better adsorption capacity than fungal mycelium alone. Overall, FM-CNTs exhibited excellent performance for adsorption of Cu(II) ions, thus greatly broadening its application prospects in copper-contaminated wastewater treatment.

Swarm intelligence (SI) is a relatively novel field. It presents individual driven groups that can achieve the effect of cluster control. In this paper, practice teaching of Automation disciplines is taken as an engineering in which SI control principle is applied. SI principle is beneficial for education level of automation disciplines, and training qualified personnel for the community.

It presents an analysis method based on second-level contacts in SNS groups to quantize influence values for information dissemination in this article. The method introduces "long tail effect" of weak relation on second-level contacts and entropy in the calculation process, quantizes influence values on inside or outside some node's group, and calculates action and reaction between adjacent groups. Simulation results show this method has more integrity and objectivity to evaluating values in messaging, prevents the exponential growth of strong views effectively, reduces formation and propagation effects of biased viewpoints. At the same time, it verifies the influence value between adjacent groups is the most critical factor for information dissemination, which is consistent with objective facts.