The resilience and reliability of healthcare supply chain models were put to the test by the Corona Virus Disease 2019 (COVID-19). This study investigated the application of supply chain systems in... Show More

The resilience and reliability of healthcare supply chain models were put to the test by the Corona Virus Disease 2019 (COVID-19). This study investigated the application of supply chain systems in South African healthcare institutions during the COVID-19 pandemic. A systematic literature review (SLR) was employed to explore the performance of existing supply chain systems, followed by a case study that tested and compared the acquisition and distribution of COVID-19 resources. The SLR revealed that most of the flare-ups were exacerbated by the acquisition of insufficient resources and speculative shortages as the supply chain systems got overwhelmed by the unprecedented demand. The simulation of the real-world data of South Africa revealed gaps in the distribution of resources, allocation of medical staff to administer COVID-19 vaccines, and shortages of vaccines. The study recommends development of effective contextual (SA) healthcare supply chain systems to support the containment of pandemic flare-ups. The study was conducted in South Africa and only reported data was used.

The rapid development of multimedia technology has brought great changes to people's lives and production. Computer viruses also spread widely through the network. In order to solve the above... Show More

The rapid development of multimedia technology has brought great changes to people's lives and production. Computer viruses also spread widely through the network. In order to solve the above problems, this article intends to use multimedia technology to control computer viruses, and proposes a virus control method based on SICES model. According to the controlled SICES model and the set objective function, the influence of users' online behavior patterns on virus propagation can be explored, and an optimal control problem is proposed. Through theoretical analysis, the existence of optimal control is proved, and the optimal system is obtained. Numerical experiments show the effectiveness of the optimal control strategy. In addition, in order to optimize the objective function to make its value smaller, and to control the proportion of infected nodes at a lower level, users should choose the corresponding online behavior mode according to different network structures. For example, on the WS small world network, the network should be frequently disconnected or always kept online.

How to transform and upgrade the traditional transport service trade into a modern logistics service trade is of great significance for studying the coordinated development of logistics service... Show More

How to transform and upgrade the traditional transport service trade into a modern logistics service trade is of great significance for studying the coordinated development of logistics service trade and ecological environment. This paper analyzes the export structure of service trade and the export trend of logistics service of ten major countries in the world. According to the analysis results, the evaluation index system of the coordination degree of the logistics service trade-ecological environment complex system was constructed and used to analyze the coordinated development type and level of the coordinated development of the logistics service trade and the ecological environment in each country. The results showed that the coordination degree of the logistics service trade-ecological environment complex system of various countries has shown a spiral development trend. This paper provides a theoretical basis for calculating the degree of coordination between regional logistics service trade and the ecological environment.

Based on thindiscussion of the traditional agricultural product distribution model, this article establishes a low-carbon perspective of urban agricultural product co-distribution model to reduce... Show More

Based on thindiscussion of the traditional agricultural product distribution model, this article establishes a low-carbon perspective of urban agricultural product co-distribution model to reduce the level of agricultural product circulation and reduce the impact of distribution activities on the environment. By comprehensively considering the factors affecting carbon emissions in the vehicle delivery process, the fuel consumption and carbon emissions estimation models of delivery vehicles are analyzed and put forward. A mathematical model for the optimization of urban agricultural product cold chain distribution routes from a low-carbon perspective is established. This article takes a logistics center as an example, selects genetic algorithm as the model solution method, optimizes the distribution route, and obtains the corresponding result, thus verifying the rationality and feasibility of the model.

China's exploration of the legal application of big data is still far from thorough enough. This article proposes a universal suitable for hierarchical big data storage systems, which can quickly... Show More

China's exploration of the legal application of big data is still far from thorough enough. This article proposes a universal suitable for hierarchical big data storage systems, which can quickly add new cache policies when needed and provide cache scheduling strategies. The neural training algorithm used in legal information systems implements a complete parallel computing framework for large-scale neural network training, supporting distributed storage and management of large-scale sample data. The experimental results show that the framework has good scalability and fault tolerance, and can quickly train legal information systems, improving their efficiency and response speed. This provides new ideas and methods for the design and development of legal information systems.

Since structural tax cuts were first incorporated into active fiscal policy in 2008, various tax breaks have been introduced. Based on the detailed enumeration of tax reduction policy measures, this... Show More

Since structural tax cuts were first incorporated into active fiscal policy in 2008, various tax breaks have been introduced. Based on the detailed enumeration of tax reduction policy measures, this study constructs an evaluation index system for the level of digital development of enterprises in terms of strategy implementation, operation status, technology level, and quality management. Then DEMATEL hierarchical analysis method and big data analysis method are used to analyse and determine the comprehensive influence degree of each index. Finally, this paper analyses the benefits and convenience brought by tax reduction and fee reduction to the digital development of enterprises and puts forward countermeasures and suggestions for the development of digital transformation of enterprises in the context of tax reduction and fee reduction. This study aims to put forward relevant countermeasures for enterprises to enhance their digital transformation and development capabilities.

With the rapid development of science and technology and China's economy, the internet, big data, computers, and multimedia technology are widely used in all walks of life to promote the application... Show More

With the rapid development of science and technology and China's economy, the internet, big data, computers, and multimedia technology are widely used in all walks of life to promote the application and improvement of visual communication design concepts, the gradual implementation of multimedia technology, and the continuous improvement of innovation. In this paper, from the multimedia transmission technology based on network coding, some key technologies in the network communication of data and video streams are studied in depth and, based on the transmission-quality assessment model, the working effect of the jitter-buffering algorithm and WebRTC jitter-buffering algorithm is compared in different network environments. The experimental results show that the jitter-buffering algorithm proposed in this paper has better working effect. This research is of great significance for the realization of multimedia transmission technology in next-generation networks.

In today's digital and networked era, multimedia content such as images, audio, and video have become an important part of the data transmitted on the Internet's information superhighway. How to... Show More

In today's digital and networked era, multimedia content such as images, audio, and video have become an important part of the data transmitted on the Internet's information superhighway. How to manage the stress in the college student population is directly related to the future life and development of college students. In this article, based on domestic and international data mining technology, the authors designed an intelligent analysis system for college students' mental health, pre-processed the data, then analysed these data in detail by using the outlier analysis algorithm in clustering algorithm, and finally mined the intrinsic connection between the psychological problems and attributes by using the Apriori association rule algorithm, so as to provide the decision makers with a reliable basis. This study puts forward reasonable solutions and suggestions for the problems existing in the psychological level of contemporary college students.

This article first takes the “logistics-ecological environment” composite system as the research object, constructs the order parameter index system of the logistics subsystem and the ecological... Show More

This article first takes the “logistics-ecological environment” composite system as the research object, constructs the order parameter index system of the logistics subsystem and the ecological environment subsystem of the scientific system, and establishes the order degree model of the subsystem and the composite system coupling coordination degree model. Then, this paper conducts an empirical study based on the historical data of Province X from 2008 to 2020, calculates the degree of order of the logistics subsystem and the ecological environment subsystem and the coordination degree of the composite system, and analyzes the coupling and coordinated development mechanism of the province's ecological environment and logistics service trade. The results show that the order of the province's logistics subsystem and the ecological environment subsystem and the degree of coupling and coordination of the “logistics-ecological environment” composite system both show a continuous growth trend.

Virtual reality is an immersive interactive technology that captures the entire location within 360 degrees with the help of special cameras, mounts and software. This paper discusses the role of... Show More

Virtual reality is an immersive interactive technology that captures the entire location within 360 degrees with the help of special cameras, mounts and software. This paper discusses the role of artificial intelligence technology and virtual reality technology in the cultural communication of tourist attractions. In tourist attractions, VR technology provides a glimpse of information about the tourist attraction with the help of VR photography and VR video. This study provides a new idea for the design of interactive cultural communication devices and uses supervised learning algorithms to make their versatility and interactivity fully reflected in the communication effect . The results of the study show that by using supervised learning algorithms, artificial intelligence based virtual reality provides 97% high accuracy.

This study explores the integration of deep learning (DL) technology and the guided simulated annealing algorithm (GSAA) to optimize closed-loop supply chains (CLSC) for sustainable development. By... Show More

This study explores the integration of deep learning (DL) technology and the guided simulated annealing algorithm (GSAA) to optimize closed-loop supply chains (CLSC) for sustainable development. By applying DL for predictive analysis and GSAA for optimization, the research aims to enhance CLSC operational efficiency and environmental sustainability. The methodology combines a review of the CLSC framework with practical applications of DL and GSAA, aiming to reduce waste, maximize resource utilization, and minimize environmental impact. An experimental comparison of this approach against traditional optimization strategies demonstrates the proposed method's superior effectiveness and efficiency. The findings reveal that the DL-GSAA optimization significantly improves CLSC sustainability and efficiency, with GSAA showing promising convergence properties. This study underscores the importance of advanced technological solutions in achieving sustainable supply chain management, offering practical insights for businesses and supply chain managers.

This study examines the impact of digital transformation, digital awareness, and supply chain risk management (SCRM) on the intention to employ blockchain technology in the US critical minerals... Show More

This study examines the impact of digital transformation, digital awareness, and supply chain risk management (SCRM) on the intention to employ blockchain technology in the US critical minerals industry. It examines the influence of digital transformation on supply chain resiliency and the adoption of blockchain by analyzing responses from 122 managers and professionals through structural equation modeling and partial least squares approaches. SCRM, perceived usefulness, and usability shape the intention to use blockchain, while digital transformation enhances supply chain resiliency. This research contributes to the existing literature by confirming the relevance of the technology acceptance model in blockchain adoption and by highlighting the importance of digital transformation in supply chain resiliency. Practically, it offers valuable insights for managers, emphasizing the role of SCRM in recognizing blockchain's benefits, the need for digital literacy and transformation to facilitate blockchain adoption, and the potential of blockchain to enhance supply chain operations.

For governmental and non-governmental enterprises to tackle risk management with conviction, enterprise management risk assessment (EMRA) is required. This work proposes a research methodology based... Show More

For governmental and non-governmental enterprises to tackle risk management with conviction, enterprise management risk assessment (EMRA) is required. This work proposes a research methodology based on an AI-based data mining algorithm (MSVM+EFCNN) for evaluating enterprise-related risks. Initially, all the possible risk assessment indexes of the enterprise are established using a large variety of identification parameters. Then, the data mining algorithms are trained by considering the previous data for building an EMRA model. At last, the current conditions are analyzed using a cluster of risk indicators, and the risk index is identified via the EMRA model. The support vector machine is used for classification purposes, and the fuzzy-based convolutional neural network is enhanced with a genetic algorithm for creating the enterprise risk assessment. The results obtained after keen analysis and experimentation indicate that the data mining algorithms used in this work can evaluate the enterprise-related risks effectively.