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In frozen regions, especially metro tunnel portal sections, which are vulnerable to an externally low-temperature atmosphere, would lead to frozen damage affecting traffic safety. To clarify how the air temperature field at tunnel portal sections varies with periodically changing atmospheric temperature, a site test was conducted on Metro Line 1 in Hohhot in the Inner Mongolia Autonomous Region, and the basic heat transfer equation and principle of energy conservation were introduced to establish a basic theoretical model, which was compared with the results from other regions. By comparison with testing results in other regions, the theoretical model was essentially consistent with the variation rules of the tested temperature. Therefore, the research could theoretically direct the heat preservation and freeze prevention of key facilities and equipment in metro tunnel portal sections in frozen regions.

This work aims to investigate the effective removal of oil in food waste (FW). Two bacteria, Bacillus subtilis and Bacillus glycinifermentans, were obtained under high temperature conditions and named YZQ-2 and YZQ-5, respectively. The oil degradation rate of two bacteria was explored under different pH value, temperature, and NaCl concentration. In addition, the lipase and emulsifying activity were evaluated. The maximum oil degradation rate was 83.41 ± 0.86% and the maximum lipase activity reached 89.73 ± 20.89 U L-1 with YZQ-2. The fermentation broth of YZQ-2 displayed exceptional emulsification activity. Subsequently, YZQ-2 and YZQ-5 were added to aerobic FW composting. The moisture content of the compost treated with inoculated strains decreased at a faster rate during the first three days of composting. The microbial quantity increased rapidly in the first three days, and the oil degradation rate reached 39.96% after five days. Due to the excellent adaptability to high temperature and ability to degrade oil, strains YZQ-2 and YZQ-5 exhibit superior potential for various applications. [ABSTRACT FROM AUTHOR]

Current relevant researches on influence propagation of social networks focus on how to use a small size seed set to produce the highest impact in social networks, and they often regard forwarding as the only way of information diffusion, ignoring other ways of information diffusion. For example, users can disseminate information by publishing a message with similar content to the message they see. This way of diffusion (referred to as mentioning) is difficult to track, and it is easy to cause the risk of privacy disclosure. Aiming at the causes of privacy leakage in social networks, this paper defines a social network information diffusion model supporting mentioning relationship, and presents a social network information diffusion algorithm LocalGreedy, which can ensure messages sent by users are not leaked to the specified, maximize the influence of the propagation and balance the contradiction between privacy protection and message propagation. This paper proposes an incremental strategy to construct a seed set while reducing time complexity caused by enumeration. After that, giving the calculating method on local influence subgraph, the influence generated by seed set propagation can be quickly estimated. When estimating the influence, a calculation method for deriving the upper limit of privacy leakage probability is proposed to ensure the privacy protection constraint limit and avoid time complexity caused by the Monte Carlo simulation. The crawled Sina Weibo dataset is used to carry out experimental verification and example analysis. The experimental results show that the proposed method is effective.

Atmospheric plasma spraying (APS) is one of the most efficient processes for the preparation of yttrium oxide (Y2O3) ceramic coatings. Changing the spraying process parameters can significantly improve the microstructure and enhance the coating properties. In this study, the combination of plasma-spraying process parameters (current, spraying distance, and argon (Ar) flow) was varied by Response Surface Methodology (RSM) with the help of Minitab 19 software. Applied to the design of experiments, improvement of errors, and prediction of microstructure property results, the optimization and validation of experimental parameters for attaining the desired microstructure of Y2O3 coatings, especially porosity, was achieved. Process parameters were optimized by RSM: current 613.64 A, Ar flow rate 46.92 L/min, spray distance 15.38 cm, and optimum porosity 1.8% after optimization. Electrochemical corrosion experiments and breakdown voltage experiments revealed that the corrosion resistance and dielectric properties increased significantly as the porosity of the coatings decreased. Therefore, by optimizing the plasma-spraying process parameters, the porosity of the coatings can be significantly reduced and the corrosion resistance and dielectric properties of Y2O3 coatings can be effectively improved. [ABSTRACT FROM AUTHOR]

Kindergarten furniture is an important part of children's furniture. However, in sharp contrast with the high level of concern about the color, shape, structure, and modularity of kindergarten furniture, the research on green design and green evaluation of kindergarten furniture has not been given due attention. Through understanding the concept and principles of green design, this paper presents an objective approach to evaluate the green design of kindergarten furniture. An evaluation method based on the analytic hierarchy process (AHP) integrating gray correlation analysis (GCA) for kindergarten furniture green design was proposed. By using the AHP to determine the green design elements of kindergarten furniture, five standard layer indicators were obtained in aspects of environmental friendliness of the materials, color, technological structure, size, and interestingness, as well as 11 criterion layer indicators: environmental friendliness of structural materials, environmental friendliness of adhesives, environmental friendliness of paint, stimulate creativity or enhance concentration, avoid the feelings of unsteadiness, structural stability, rounding the edges, comfortable to use, size adjustable, interesting decorative patterns, and modular. Afterward, GCA was used to evaluate the green design of five kindergarten furniture schemes and a comprehensive evaluation score was obtained. Taking the design scheme represented by five desk and chair sets in kindergarten as an example, the effectiveness of this method was verified, and the advantages and disadvantages of the five desk and chair sets were analyzed and compared. The results showed that the third desk and chair sets at kindergarten made of New Zealand pine ranks first in the comprehensive green evaluation indicators, followed by the fourth sets made of rubber and wood. After the green design evaluation, we studied the carbon footprint of five furniture products and analyzed their carbon emissions at the production stage, the packaging stage, the transportation stage, and the storage stage. The results show that the amount of carbon emission is generally consistent with the evaluation results of the green scheme, which verifies the effectiveness of the green design evaluation method. This study provides an effective and feasible reference for kindergarten furniture designers. Hence, a greener kindergarten furniture design is expected to improve the learning and living environment for kindergarten-age children. [ABSTRACT FROM AUTHOR]

The correction notice addresses changes made to Table 4 in the paper "AHP and GCA Combined Approach to Green Design Evaluation of Kindergarten Furniture." The authors updated the gray correlation coefficients for various indicators related to environmental friendliness, creativity, stability, and usability of the furniture. The corrections were made to ensure accuracy, and the scientific conclusions of the original article remain unaffected. [Extracted from the article]