Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks.

This paper considers the price-based resource allocation problem for wireless power transfer (WPT)-enabled massive multiple-input multiple-output (MIMO) networks. The power beacon (PB) can transmit energy to the sensor nodes (SNs) by pricing their harvested energy. Then, the SNs transmit their data to the base station (BS) with large scale antennas by the harvesting energy. The interaction between PB and SNs is modeled as a Stackelberg game. The revenue maximization problem of the PB is transformed into the non-convex optimization problem of the transmit power and the harvesting time of the PB by backward induction. Based on the equivalent convex optimization problem, an optimal resource allocation algorithm is proposed to find the optimal price, energy harvesting time, and power allocation for the PB to maximize its revenue. Finally, simulation results show the effectiveness of the proposed algorithm.

Game analysis of enterprise data sharing from a supply chain perspective.

[Research Purpose] In the era of the digital economy, there is an urgent need to explore solutions to various problems faced by enterprises in their digital transformation, such as the lack of data resources, data silos, and information asymmetry within supply chains. [Method/Contribution] Leveraging evolutionary game theory and adopting a supply chain perspective, this study integrates the government and upstream/downstream enterprises into a unified analysis framework. In this study, a three-party evolutionary game model under government coordination aimed at fostering data openness and sharing among supply chain enterprises is constructed. Simulation analyses are conducted on decision-making strategies concerning data sharing between the government and supply chain enterprises across different scenarios. [Research Conclusion] It is observed that the high level of benefits and low costs associated with data sharing incentivize supply chain enterprises to actively open and share their data. Notably, government incentives significantly encourage data openness among these enterprises by subsidizing the cost of data sharing, "especially evident when the incentive coefficient exceeds 0.6," thereby guiding them toward collaborative data-sharing initiatives. Finally, it is also found that data sharing further promotes the digital transformation of the supply chain, optimizing decision-making processes, resource allocation, and operational efficiency. Through data sharing, better forecasting, inventory management, and risk mitigation strategies can be implemented. Moreover, data sharing fosters collaboration among supply chain partners enhances transparency and trust, and makes the supply chain more synchronized and responsive, which leads to value cocreation within the supply chain, with downstream enterprises being more incentivized than upstream enterprises by this value cocreation.

Design and Motion Analysis of a Soft-Limb Robot Inspired by Bacterial Flagella.

Soft robots demonstrate an impressive ability to adapt to objects and environments. However, current soft mobile robots often use a single mode of movement. This gives soft robots good locomotion performance in specific environments but poor performance in others. In this paper, we propose a leg-wheel mechanism inspired by bacterial flagella and use it to design a leg-wheel robot. This mechanism employs a tendon-driven continuum structure to replicate the bacterial flagellar filaments, while servo and gear components mimic the action of bacterial flagellar motors. By utilizing twisting and swinging motions of the continuum structure, the robot achieves both wheeled and legged locomotion. The paper provides comprehensive descriptions and detailed kinematic analysis of the mechanism and the robot. To verify the feasibility of the robot, a prototype was implemented, and experiments were performed on legged mode, wheeled mode, and post-overturning motion. The experimental results demonstrate that the robot can achieve legged and wheeled motions. Moreover, it is also demonstrated that the robot still has mobility after overturning. This expands the applicability scenarios of the current soft mobile robot.

A study measuring the degree of integration between the digital economy and logistics industry in China.

Under the new development pattern, the penetration and integration between industries is becoming increasingly active, constantly promoting the rationalisation and heightening of the entire industrial structure and structuring new convergent industrial bodies. To explore the degree of integration between the digital economy and the logistics industry, this paper uses input-output models and social network analysis to empirically analyse the level of industrial integration between the core industries of China's digital economy and the logistics industry during the period 2007-2017. The level of integration between the core industries of China's digital economy and the logistics industry is measured, and its spatial and temporal characteristics are also measured and analysed. The analysis showed that (1) the degree of integration between the two industries is low, but with changes over time, the degree of integration will follow an upwards trend; the overall level of integration is increasing with the development of the core industries of the digital economy; the growth rate is significant, and developed regions have a clear advantage because of the intensity of integration. (2) The direction of industrial integration linkages is basically stable, with the pointing characteristics of adjacent provinces, and the spatial distribution shows a pattern of diffusion from the central region to the eastern and western regions. Overall, the integration shows an economic radiation effect, but there are large differences between the north and south. (3) It is easier for adjacent provinces to form the same cohesive subgroup in a network and develop together. At the same time, the integration network shows a clear pattern of marginal-semimmarginalization. The study enriches and improves the research status of China's digital economy industry convergence, and provides theoretical support for the formulation of policies related to the synergistic development of China's digital economy and logistics industry.

An Empirical Analysis of the Impact of Digital Economy on Manufacturing Green and Low-Carbon Transformation under the Dual-Carbon Background in China.

The deep integration of digital economy and green development has become an inevitable requirement and an important aid in achieving the goal of carbon peaking and carbon neutrality and promoting high-quality economic development. At the same time, the manufacturing industry is the main sector of energy consumption and carbon emissions in China and the main force for achieving the carbon peaking and carbon neutrality goals. This paper constructs a mathematical model to measure the scale of the digital economy development and the efficiency of the green, low-carbon transformation of the manufacturing industry. It builds a panel data model to study the effect of the development of the digital economy on the green, low-carbon transformation of the manufacturing industry based on data of 30 Chinese provinces from 2016 to 2020. The results find that (1) there is a significant positive effect of the digital economy on the green, low-carbon transformation of the manufacturing industry, with an impact coefficient of 0.477, and this finding remains significant in the robustness test. (2) A further test of the mediating effect finds that the digital economy can drive the green, low-carbon transformation of the manufacturing industry by enhancing technological innovation, and it shows a partial mediating effect that accounts for 28% of the total effect. (3) In the regional heterogeneity analysis, it is found that the effect of the digital economy in promoting manufacturing transformation is more prominent in the central region, and the impact coefficients are 0.684, 0.806, 0.340, and 0.392 for the east, central, west, and northeast regions, respectively. This study can provide a theoretical basis and policy support for governments and enterprises.