Suchergebnisse

The supervision of security risk level of carbofuran pesticide residues can guarantee the food quality and security of residents effectively. In order to predict the potential key risk vegetables and regions, this paper constructs a security risk assessment model, combined with the k-means++ algorithm, to establish the risk security level. Then the evaluation index value of the security risk model is predicted to determine the security risk level based on the deep learning model. The model consists of a convolutional neural network (CNN) and a long short-term memory network (LSTM) optimized by an arithmetic optimization algorithm (AOA), namely, CNN-AOA-LSTM. In this paper, a comparative experiment is conducted on a small sample data set of independently constructed security risk assessment indicators. Experimental results show that the accuracy of the CNN-AOA-LSTM prediction model based on attention mechanism is 6.12% to 18.99% higher than several commonly used deep neural network models (gated recurrent unit, LSTM, and recurrent neural networks). The prediction model proposed in this paper provides scientific reference to establish the priority order of supervision, and provides forward-looking supervision for the government.

With the extensive development of remanufacturing, remanufacturing trade, as an essential part of it, has also attracted much attention from researchers. Quite a large number of studies related to remanufacturing trade, such as pricing, sales, competition, channel expansion and service strategy, have been published in various journals. This paper aims to focus on the research status on remanufacturing trade through bibliometric analysis that can provide the primary research trends and the future research hotspots by analyzing the progress, parties and themes of the research. In this paper, the review and analysis are conducted on over 121 articles from 2000 until July 2021 with the help of VOS viewer (Leiden University, Leiden, The Netherlands) and Citespace (Drexel University, Philadelphia, PA, USA). The results of the analysis of research progress and research parties suggest that: (a) more and more researchers have started to pay attention to consumers during modeling; (b) sustainable/green aspects are frequently taken into account as a factor, but the sustainable/green standards for remanufacturing trade need to be further developed; (c) studies on remanufacturing trade are more abundant in heavy industry countries. Additionally, the hotspots for future research are identified via the theme analysis, including: (1) with the issuing of various government policies, the impact of these policies on decisions related to remanufacturing trade has been studied gradually and is expected to become a hot topic in the future; (2) a large number of papers conduct research on the basis of the supply chain of remanufactured products; (3) research on the online distribution channel has already been carried out and is constantly deepening; (4) the digital technology is increasingly introduced to remanufacturing trade in recent years.

This book examines China's participation in the United Nations (UN). There are two research components. First, the author seeks to find a pattern of China's multilateral diplomatic behavior in the UN by examining China's behavior toward peacekeeping operations and arms control issues during different leadership periods under Mao Zedong, Deng Xiaoping, and Jiang Zemin respectively. Second, a model is proposed to explain this pattern of behavior. By marrying rationalism and constructivism, this model argues that the amelioration of China's external security environment changes in its projected self-image. Furthermore, China's consistently strong view of sovereignty determines its evolving pattern of behavior in the UN