In recent years, increasing attention has been paid to metal–organic frameworks by scientists working in the field of electrocatalytic material chemistry. Herein, using the hydrothermal method, ultrathin Ni/Co bimetallic metal–organic framework nanobelts that can be directly adopted as highly efficient electrocatalysts are prepared. The optimized Ni/Co ultrathin nanobelts can reach an onset potential of 0.939 V [these values are very close to those of Pt/C (0.940 V)] and show superior stability relative to that of Pt/C toward oxygen reduction reaction (ORR). Additionally, under the current density of 10 mA cm−2, the Ni/Co ultrathin nanobelts show the potential of 1.478 V for oxygen evolution reaction (OER), which is much better than that of IrO2, indicating the large potential of the metal–organic frameworks as a bifunctional oxygen catalyst in metal–air batteries. In addition, after OER and ORR, the color of the Ni/Co ultrathin nanobelts sample is slightly lighter, and it can be seen that the channel becomes blurred but still exists. The X‐ray diffraction, infrared spectrometry, and X‐ray photoelectron spectroscopy results for Ni/Co ultrathin nanobelts before and after catalysis are basically identical. The findings suggest that the ultrathin belt‐like structure and the synergy effect between Ni and Co are crucial for tuning the electrocatalytic activity.

With the high integration of smart grid information and physical systems, the security of information systems must affect the safe and stable operation of physical systems. Risk assessment is an effectual means to objectively evaluate the information security threats of the smart grid. However, the existing risk assessment methods are aim at solving the threat of security risks in communication networks and information systems in the smart grid, but there is no in-depth study on how the spread of information security risks between information systems and physical systems in the smart grid. Therefore, based on the traditional infectious disease transmission theory, the information security risk propagation model based on the Susceptible–Exposed–Infected–Recovered (SEIR) infectious disease model for smart grid (ISRP-SEIRIDM) is proposed in this paper. In ISRP-SEIRIDM, we analyze the information interaction between information collection devices and define the connection of nature and the security risks between the information collection devices in the smart grid. At the same time, we also study the impact of the number of information acquisition devices and information interaction capabilities of these devices on the speed of security risk transmission between information systems and physics systems in the smart grid and the maximum risk range. Experimental results show that the risk propagation range can be significantly reduced by optimizing the data interaction capability and information transmission path between information collection devices in the smart grid; when a probability from a susceptible state to an exposed state reduces by 0.15, the maximum spread and average spread of security risk will be reduced by 7% and 1.96%, respectively.

In the published version of our articles, the details for Figure 3d,e are incorrect; absence of satellite peaks of R2 in Figure 3d. When processing the XPS data, the authors misarranged the order of R1 and R2, resulting in errors. The correct details for Figure 3d,e is changed as follows: Figure 3. XPS spectrum of the: a) survey; b) C 1s; c) O 1s; d) Co 2p, and e) Ni 2p.

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