Search Results (4,138)

In socially aware networking, nodes typically behave selfishly due to resource constraints and social correlations, resulting in low network performance. To incentivize selfish nodes to actively participate in message forwarding, this paper proposes a resource-based dynamic pricing and forced forwarding incentive algorithm (DFIA). Firstly, the algorithm introduces virtual currency as a transaction medium and then designs a pricing function based on factors such as the node’s resource status, participation contribution, location relevance, and social connectivity. It ensures that the forwarding service is transacted at a reasonable price through bargaining rules. Secondly, a forced forwarding strategy is implemented to compel selfish nodes, which are unwilling to participate in other nodes’ message forwarding, to forward a certain number of non-local messages. Meanwhile, in order to prevent nodes from discarding messages and to ensure successful forwarding to the destination, specific rules are used to allocate contribution values to nodes that successfully participate in message forwarding. Lastly, to avoid false quotation behavior, blockchain technology is employed. Transaction information is packaged into blocks and added to the blockchain after consensus validation by other nodes in the network, ensuring the transparency and immutability of transaction data. Simulation results indicate that compared with the existing incentive algorithms, this algorithm not only enhances message delivery probability but also effectively reduces average latency. Full article

This study investigates Romanian physicians’ acceptance of telemedicine using the Technology Acceptance Model. We analyzed 1093 responses to an online survey distributed nationwide to physicians via email by the National Authority of Quality Management in Health, employing the partial least squares algorithm to estimate the relationship between the behavioral intention to adopt telemedicine and its potential determinants. Our findings reveal that the model accounts for 84.6% of the variance in behavioral intention to use telemedicine. Among the two constructs of the TAM model, perceived usefulness is a stronger predictor of behavioral intention than perceived ease of use. Additionally, subjective norms positively and significantly influence physicians’ intention to use telemedicine and their perception of its usefulness. Furthermore, perceived incentives and accessibility to medical records also positively impact the behavioral intention to use telemedicine. Full article

With the popularity of Play-to-Earn (P2E) games, in-game token economies have become the foundation of the financial structure of virtual worlds. More and more players are investing in digital assets, promoting long-term economic growth. This paper delves into the key factors for the sustainability of the P2E game token economy: the investment value of tokens and external incentives. When tokens are no longer profitable, user churn rates rise sharply, which is critical to the continued development of P2E games. External factors also significantly impact token prices, which affects the stability and sustainability of the entire economic system. In response to these challenges, this paper proposes a series of strategies to enhance token stability, including adjustments to game design, improvements to player incentive mechanisms, and the formulation of relevant policies and regulations. The conclusions of this study aim to provide valuable insights and guidance to game designers, investors, and players to promote the healthy development of Web3 game token economic systems. Full article

ESG (Environmental, Social, and Governance) performance is an essential indicator for measuring the sustainability of corporations. It has received increased attention from capital market participants after the proposal of the ‘dual carbon’ goal. Innovation is a necessary skill for corporations to compete in the market. Therefore, this study investigates the impact of innovation on the ESG performance of corporations based on the dual incentive perspective of government subsidies and equity incentives. Using data of China’s A-share main board listed corporations from 2017 to 2022, OLS (Ordinary Least Squares) models are constructed to conduct empirical research. The results show that enhanced innovation can significantly improve corporate ESG performance. This paper also conducts other tests to ensure the robustness of the findings and address potential endogeneity issues. Further analysis shows that both using government subsidies as external incentives and using equity incentives as internal incentives can positively moderate the above findings. Heterogeneity analyses discover that government subsidies granted to asset-advantaged corporations have a more substantial moderating effect than those granted to asset-weakened corporations; equity incentives granted to core technical staff have a more substantial moderating effect than those granted to executives. The concept that innovation with dual incentives can enhance corporate ESG performance can aid in developing programs to improve their ESG performance and generate novel ideas for high-quality, sustainable development. Full article

Enhancing collective action among rural households is crucial for promoting rural revitalization and improving livelihoods in underdeveloped areas. Taking Shanxi Province, China, as a case study, this paper employed a household survey method to collect 312 questionnaires from rural households. Using the mean value analysis of the measured items in the questionnaire. The participation status of farmers in less developed areas in collective actions, such as farmers’ professional cooperatives, village cadre elections, and cooperative construction of small farmland water conservancy, was examined in four aspects: willingness to participate, frequency of participation, time of participation, and sense of the value of participation. From the perspectives of livelihood risks, livelihood assets, livelihood patterns, and livelihood income, it analyzed the livelihood conditions of rural households in underdeveloped regions. Building upon the empowerment of collective action in rural livelihoods, the study further applied a multiple linear regression model to assess the impact of collective action on livelihoods. The findings indicated (1) a strong willingness and perceived value among rural households to participate in collective action, albeit with a low frequency and limited time commitment; (2) relatively low livelihood levels, characterized by limited livelihood assets, predominant subsistence farming, small-scale non-specialized enterprises, and low livelihood income, yet with notable resilience against livelihood risks; (3) that collective action significantly enhances rural household livelihoods positively. Based on these findings, policy recommendations are proposed, emphasizing the enhancement of collective organization, provision of incentive mechanisms, and improvement of farmers’ skills and qualities to foster greater participation in collective action. Full article

This study aims to investigate the impact of financial stress and uncertainty on the returns of green and conventional bonds and stocks in the United States from 2010 to 2022. The research utilizes nonlinear and nonparametric analysis, which includes the quantile-on-quantile and nonparametric causality-in-quantiles approaches to examine the relationship between variables. The data analyzed using R programming language show that financial stress positively impacts the middle quantiles of both conventional and green equity, while financial uncertainty negatively impacts upper quantiles. The study also finds that financial stress has a more significant impact on all types of bonds compared to financial uncertainty, with conventional bonds being more affected. This study proposes a pyramid that classifies financial assets based on their susceptibility to financial stress, which could help investors evaluate risk levels and make better investment decisions. The study recommends that policymakers should encourage green investments by offering incentives, such as tax credits. They should also focus on enhancing the efficiency of volatile assets by implementing new investment rules and regulations. Full article

This study examines the relationship between entrepreneurship and sustainable development in Saudi Arabia from 2006 to 2022, focusing on the economic, social, and environmental dimensions. Using the autoregressive distributed lag (ARDL) model, the research investigates both short-run and long-run dynamics to understand how entrepreneurial activities influence sustainable development within the framework of Saudi Arabia’s Vision 2030 initiative. The findings indicate that entrepreneurship significantly contributes to economic growth through job creation and innovation, thereby aiding in the diversification of the economy away from oil dependency. Socially, entrepreneurial initiatives have a positive impact on gender equality and social inclusion by empowering women and integrating youth into the labor market. Environmentally, entrepreneurship helps reduce carbon emissions and promotes sustainable business practices. Despite these positive outcomes, challenges such as regulatory barriers, limited access to finance, and the need for a supportive entrepreneurial ecosystem remain. Recommendations include enhancing entrepreneurial education, providing financial incentives, and streamlining regulatory processes to better support start-ups and SMEs. This study highlights the necessity of addressing these challenges to fully realize the potential of entrepreneurship for sustainable development in Saudi Arabia. By providing empirical evidence on the significant role of entrepreneurship in driving sustainable development, this research offers actionable insights for policymakers aiming to foster a more resilient and diversified economy in line with Vision 2030. Full article

This paper reviews the use of game theory tools to study the operation and design of modern power grids. The contribution of this work is to summarize the literature to highlight the versatile solution capability of game theory by focusing on the interconnected objectives of energy trading and energy management. This review was conducted with a focus on various applications in energy systems, including general energy markets, micro grids (MGs), virtual power plants (VPP), electric vehicles (EVs), and smart homes, and explores how game theory can summarize the solutions for pricing, bidding, demand side management, and resource optimization. A key finding is the suitability of game theory for modeling decentralized energy systems where strategic incentives can lead to outcomes that benefit both individuals and society. It also discusses the limitations, challenges, and potential benefits of game theory in complex power systems. This study provides researchers and policy makers with a comprehensive overview of current research and insights into the potential of game theory to shape the future of energy systems. Full article

Collaborative edge intelligence, a distributed computing paradigm, refers to a system where multiple edge devices work together to process data and perform distributed machine learning (DML) tasks locally. Decentralized Internet of Things (IoT) devices share knowledge and resources to improve the quality of service (QoS) of the system with reduced reliance on centralized cloud infrastructure. However, the paradigm is vulnerable to free-riding attacks, where some devices benefit from the collective intelligence without contributing their fair share, potentially disincentivizing collaboration and undermining the system’s effectiveness. Moreover, data collected from heterogeneous IoT devices may contain biased information that decreases the prediction accuracy of DML models. To address these challenges, we propose a novel incentive mechanism that relies on time-dependent blockchain records and multi-access edge computing (MEC). We formulate the QoS problem as an unbounded multiple knapsack problem at the network edge. Furthermore, a decentralized valuation protocol is introduced atop blockchain to incentivize contributors and disincentivize free-riders. To improve model prediction accuracy within latency requirements, a data scheduling algorithm is given based on a curriculum learning framework. Based on our computer simulations using heterogeneous datasets, we identify two critical factors for enhancing the QoS in collaborative edge intelligence systems: (1) mitigating the impact of information loss and free-riders via decentralized data valuation and (2) optimizing the marginal utility of individual data samples by adaptive data scheduling. Full article

To address the complexities of national park management within China, this study investigated the evolutionary game between central and local governments in the context of Sanjiangyuan National Park, to explore strategic behavior and goal displacement issues. This research dissected the interplay and strategy evolution between governmental levels, considering the diverse interests, policy interpretations, and resource allocations that often lead to strategic misalignments. Employing an evolutionary game theory framework, we integrated a literature review and numerical simulations to delineate the dynamics of central–local governmental interactions. Our results underscore the pivotal role of strategic alignment in ensuring ecological conservation and socioeconomic development. The findings reveal that under certain conditions, characterized by minimization of rent-seeking behavior, cost-effective management, and risk mitigation, an evolutionarily stable strategy promoting optimal park management can emerge. This study concludes that a cooperative framework, underpinned by aligned incentives and strategic coherence between governmental levels, is critical for sustainable management of national parks. It contributes to understanding of governance models in national parks, offers insights into policy formulation and implementation within the ongoing environmental reform initiatives in China, reveals the behavioral strategies within national park management systems, and supports policy recommendations for enhancing governance quality and management efficiency. Full article

Erythropoietin (EPO), a hormone secreted mainly by the kidney, exerts its biological function by binding to its cell-surface receptor (EpoR). The presence of EPO and EpoR in the male and female reproductive system has been verified. Therefore, some of the key properties of EPO, such as its antioxidant and antiapoptotic effects, could improve the fertilizing capacity of spermatozoa. In the present study, the effect of two different concentrations of EPO (10 mIU/μL and 100 mIU/μL) on bovine sperm-quality parameters was evaluated during a post-thawing 4-h incubation at 37 °C. EPO had a positive effect on sperm motility, viability, and total antioxidant capacity. Moreover, EPO inhibited apoptosis, as it reduced both BCL2-associated X apoptosis regulator (Bax)/B-cell lymphoma 2 (Bcl-2) ratio and cleaved cysteine-aspartic proteases (caspases) substrate levels in a dose-dependent manner. In addition, EPO induced sperm capacitation and acrosome reaction in spermatozoa incubated in capacitation conditioned medeia. These results establish a foundation for the physiological role of EPO in reproductive processes and hopefully will provide an incentive for further research in order to fully decipher the role of EPO in sperm physiology and reproduction. Full article

In this paper, we propose a Bayesian Optimization (BO)-based strategy using the Gaussian Process (GP) for feature detection of a known but non-cooperative space object by a chaser with a monocular camera and a single-beam LIDAR in a close-proximity operation. Specifically, the objective of the proposed Space Object Chaser-Resident Assessment Feature Tracking (SOCRAFT) algorithm is to determine the camera directional angles so that the maximum number of features within the camera range is detected while the chaser moves in a predefined orbit around the target. For the chaser-object spatial incentive, rewards are assigned to the chaser states from a combined model with two components: feature detection score and sinusoidal reward. To calculate the sinusoidal reward, estimated feature locations are required, which are predicted by Gaussian Process models. Another Gaussian Process model provides the reward distribution, which is then used by the Bayesian Optimization to determine the camera directional angles. Simulations are conducted in both 2D and 3D domains. The results demonstrate that SOCRAFT can generally detect the maximum number of features within the limited camera range and field of view. Full article

In the West African Monetary and Economic Union (UEMOA), information on the characteristics of the users and patterns of electricity end-uses remains hard to find. This study aims to contribute to reducing the gap in research on domestic electricity consumption in the region by unveiling the ownership rates, patterns of use and electricity consumption of domestic appliances in urban households through a city-wide survey. Three categories of urban users were investigated including high, medium and low consumers. Findings demonstrated various ownership rates for appliances, ranging from 100% for lighting fixtures to 0% for washing machines depending on user category. Domestic electricity demonstrated patterns consisting of three peak demand periods, with the main ones occurring in the evening (19:00 to 20:00) and the night (22:00). Other demand characteristics include an average daily electricity use ranging from 0.50 to 6.42 kWh per household, a maximum power demand of between 0.19 and 0.70 kW and a daily load factor between 35 and 58%. Finally, the appliances contributing the most to domestic electricity use include air-conditioners, fans, fridges and freezers, televisions and lighting fixtures, with contributions differing from one category of user to another. Policy implications including review of the appliances’ importations framework and policies, and incentives for purchasing efficient appliances, design of more tailored policies, considering the different backgrounds of the users, education enhancement on energy behaviours for increasing energy efficiency/conservation, and implementation of DSM programs including load levelling, load shifting and load reducing depending on the type of appliance for energy conservation in the domestic buildings were derived. Overall, a large range of stakeholders of the electricity sector, not only in the West African Economic and Monetary Union (UEMOA), but also in other regions and countries sharing common characteristics should be interested in the results of this study. Full article

As an important incentive and constraint system to coordinate the contradiction between ecological resource protection and regional economic development, the ecological and environmental protection effect after its implementation deserves special attention, especially for China, which involves the widest scope of payment and the largest transfer and has become the largest governmental ecological compensation program in China and even in the world. Starting from the evolution of China’s eco-financial transfer system, this study conducts an empirical investigation of the ecological and environmental protection effect of the eco-financial transfer system. Such an undertaking is based on the theoretical exploration of the impact mechanism of the eco-financial transfer system to improve the ecological environment quality and based on the panel data of 40 counties in Hubei Province from 2010 to 2020. Results of the study show that the ecological financial transfer system can promote the improvement of regional ecological environment quality, but the promotion effect is insignificant. The financial funds reflect more of a financial compensation effect than a system incentive effect. The increase in the scale of ecological transfer payments is conducive to strengthening the incentive function of the system, promoting local governments to increase environmental protection expenditures and environmental regulation efforts to improve the quality of the ecological environment. Therefore, in the process of implementing ecological financial transfers from the province to the counties, the concept of ecological value contribution should be incorporated into the fund allocation process. In addition, the current ecological transfer payment fund allocation method should be reconstructed on the basis of the ecological value contribution to enhance the guiding role of “high quality and high price, more work and more gain.” The goal is to effectively stimulate the enthusiasm of local governments for ecological environmental protection. Findings have significant guidance for developing countries that are currently seeking to formulate and implement such policies. Full article

Despite significant prevention efforts, the numbers of physically inactive individuals, chronic illnesses, exhaustion syndromes and sick leaves are increasing. A still unresolved problem with exercise promotion is the low participation of sedentary persons. This collective term covers heterogeneous subgroups. Their engagement with movement campaigns and resistance to change are influenced by numerous factors. Our aim was to analyse survey data on health, performance, lifestyle habits and the approachability to physical activity campaigns obtained from the Germany-wide ActIv survey. From 2888 study participants aged 50–60 years, 668 persons were categorised into the subgroups “never-athletes”, “sports-dropouts”, “always-athletes” and “sports-beginners”. Large and significant group differences were found for BMI, assessment of quality of life, health and fitness, risk factors and health problems. In total, 42.5% of “never-athletes” and 32.5% of “sports-dropouts” did not state any barriers to sport. There are substantial disparities between the non-athlete groups in terms of their motivation to exercise. In contrast, there are comparatively minor differences in motivation between “sports-dropouts” and “sports-beginners”, whose health and fitness are the primary motivators for sport. Our analyses suggest that (i) negative health and performance trends cannot be compensated for by appeals for voluntary participation in exercise programmes and (ii) powerful incentive systems are required. Full article