Abstract Safety problems of heavy-cargo transportation have been one of the key problems that hinder industrial development. With implementing the “One Belt, One Road” strategy and the “traffic-based state development” strategy, large infrastructural projects increase quickly, which proposes higher requirements for the safety management of heavy-cargo transportation. It is necessary to comprehensively explore and analyze safety accident risk factors of... Safety problems of heavy-cargo transportation have been one of the key problems that hinder industrial development. With implementing the “One Belt, One Road” strategy and the “traffic-based state development” strategy, large infrastructural projects increase quickly, which proposes higher requirements for the safety management of heavy-cargo transportation. It is necessary to comprehensively explore and analyze safety accident risk factors of heavy-cargo transportation. This study analyzed the heavy-cargo transportation process systematically, and basic evaluation units were determined and recognized. Risk sources were recognized from five aspects of “workers, vehicles, cargo, environment and management”. A heavy-cargo transportation safety system model was constructed using the integrated DEMATEL-ISM method. The mutual influencing degrees of risk factors were analyzed, and influencing factors and action mechanisms of heavy-cargo transportation safety accidents were explored. Results showed that inadequate professional knowledge of managers is the intrinsic cause of heavy-cargo transportation safety, while human factors and management factors are important causes. Hence, strengthening the safety consciousness and behaviours of workers and improving the professional level of managers are keys to decreasing the rate of heavy-cargo transportation accidents and increasing the safety level. Read More Read Less

Abstract In recent years, there has been a growing interest in dynamic programming languages in tandem with the growing popularity of Web 2.0 apps. Many web frameworks based on dynamic programming languages have been developed in recent years, including Rails (in Ruby), Grails (in Groovy), and Django (in Python). These frameworks have been designed to increase the efficiency of web application... In recent years, there has been a growing interest in dynamic programming languages in tandem with the growing popularity of Web 2.0 apps. Many web frameworks based on dynamic programming languages have been developed in recent years, including Rails (in Ruby), Grails (in Groovy), and Django (in Python). These frameworks have been designed to increase the efficiency of web application development by emphasizing Agile methodologies and simple, maintainable code. This paper has examined whether multi-agent system (MAS) development can achieve the same efficiency level. We have compared the code quality and size written in the dynamic programming languages Groovy (in Groovy language), Python (in Python language), and Ruby (in Java language) against code written in statically typed Java programming languages. The analysis was based on independent implementations of asynchronous dynamic programming algorithms in all four programming languages. The results can be generalised to other MAS algorithms. Read More Read Less

Abstract Innovation capability has become an essential indicator in assessing the competitiveness of a nation, a company, or an individual. However, traditional assessment methods are subjective and limited, making it difficult to comprehensively and accurately evaluate a region’s innovation capability. By constructing an innovation-driven development assessment model based on artificial intelligence algorithms, this article provides an effective method for evaluating innovation... Innovation capability has become an essential indicator in assessing the competitiveness of a nation, a company, or an individual. However, traditional assessment methods are subjective and limited, making it difficult to comprehensively and accurately evaluate a region’s innovation capability. By constructing an innovation-driven development assessment model based on artificial intelligence algorithms, this article provides an effective method for evaluating innovation capability. The model not only provides objective evidence for decision-makers but also promotes the implementation of innovation-driven development strategies. Taking the platform economy business model as an example, this paper explores how to assess and enhance the competitiveness of B2B ecommerce companies to promote the orderly and healthy development of the B2B ecommerce industry. This paper presents innovative research on the platform economy business model driven by the BP neural network and artificial intelligence technology. Read More Read Less

Abstract With the acceleration of globalization, English, as the universal language for international communication, has become increasingly important in the field of education. This article studies the application analysis of particle swarm optimization algorithm (PSO) based on English teaching quality improvement. The aim is to use the PSO algorithm to optimize the English teaching process and improve teaching quality. This article... With the acceleration of globalization, English, as the universal language for international communication, has become increasingly important in the field of education. This article studies the application analysis of particle swarm optimization algorithm (PSO) based on English teaching quality improvement. The aim is to use the PSO algorithm to optimize the English teaching process and improve teaching quality. This article first introduces the basic principle of the PSO algorithm and English teaching quality evaluation indicators and then elaborates on how to apply the PSO algorithm to the process of improving English teaching quality, including teaching plans, classroom teaching, extracurricular tutoring, and teaching evaluation. Finally, the effectiveness and feasibility of the English teaching quality improvement method based on the PSO algorithm were verified through experiments. Read More Read Less