The diversity of approaches for retaining participants in a Blockchain-based system complicates benchmarking. The majority of proposals for rewarding and penalizing participants in these systems are limited to their own set of data and scenarios, mak...
Participatory sensing is a process whereby mobile device users (or participants) collect environmental data on behalf of a service provider who can then build a service based upon these data. To attract submissions of such data, the service provider...
Crop rotation emerges as a pivotal strategy addressing the decline in cultivated land quality and degradation and alleviating food production issues. However, the effective implementation of crop rotation policies remains challenging and requires fur...
Incentive mechanisms of crowdsensing have recently been intensively explored. Most of these mechanisms mainly focus on the standard economical goals like truthfulness and utility maximization. However, enormous privacy and security challenges need to...
The advent of Ethereum opened up a pandora box of decentralized possibilities. While allowing for the replicated, decentralized computation of Turing-complete instructions, platforms such as Ethereum do not offer the possibility of direct, interactiv...
Machine learning model sharing markets have emerged as a popular platform for individuals and companies to share and access machine learning models. These markets enable more people to benefit from the field of artificial intelligence and to leverage...
The development of digital finance provides new opportunities for solving the dilemma of innovation financing for small- and medium-sized enterprises (SMEs). This study empirically examined the heterogeneous characteristics and mediating mechanisms o...
As the aging society progresses, it is particularly important to strengthen the sharing of silver economy data to promote the development of the silver economy. This paper focuses on analyzing the mechanism by which digital platforms promote silver e...
The increasing carbon dioxide emissions from human activities present a significant global concern, with approximately two-thirds of greenhouse gas emissions attributed to household activities. The Carbon Generalized System of Preferences (CGSP) has...
Economic inequality has been linked to changes in individual risk-taking behavior, yet the underlying mechanisms remain underexplored. In this study, I examine whether feelings of relative deprivation from upward social comparisons influence risk pre...
Unmanned aerial vehicles (UAVs) can be utilized as airborne base stations to deliver wireless communication and federated learning (FL) training services for ground vehicles. However, most existing studies assume that vehicles (clients) and UAVs (mod...
Blockchain technology has brought significant advantages for security and trustworthiness, in particular for Internet of Things (IoT) applications where there are multiple organisations that need to verify data and ensure security of shared smart con...
Carbon emissions trading pilots are an essential environmental regulation tool for incentivizing companies to reduce carbon emissions and a critical initiative for achieving “dual carbon” targets. This study, based on 2366 observations of...
This systematic review aimed to provide a comprehensive view of (1) the purposes of research studies using smart city infrastructures to promote citizen participation in the cities’ management and governance, (2) the characteristics of the prop...
The effectiveness of government subsidies for electric vehicle (EV) enterprises and future improvements to subsidy policies to promote industry development have garnered widespread attention. Distinct mechanisms exist through which R&D and non-R&...
Cooperative Non-Orthogonal Multiple Access (NOMA) with Simultaneous Wireless Information and Power Transfer (SWIPT) communication can not only effectively improve the spectrum efficiency and energy efficiency of wireless networks but also extend thei...
Amid China’s economic transition toward high-quality development, the policy of additional deductions for R&D expenses, a key fiscal and taxation tool for incentivizing corporate innovation, has attracted considerable attention for its actu...
The machine learning paradigms driven by the sixth-generation network (6G) facilitate an ultra-fast and low-latency communication environment. However, specific research and practical applications have revealed that there are still various issues reg...
In this paper, we propose a health data sharing infrastructure which aims to empower a democratic health data sharing ecosystem. Our project, named Health Democratization (HD), aims at enabling seamless mobility of health data across trust boundaries...
This paper analyzes different government debt relief programs in the European Monetary Union. I build a model and study different options ranging from debt relief to the European Stability Mechanism (ESM). The analysis reveals the following: First, p...
Mobile crowd sensing (MCS) is a new sensing paradigm that leverages participatory sensing data from mobile devices for accomplishing large-scale sensing tasks. Incentivizing device owners to contribute high-quality sensing data is a prerequisite for...
Integrated energy systems are critical physical platforms for driving clean energy transitions and achieving carbon reduction targets. This paper systematically reviews carbon reduction pathways across generation, grid, load, and storage from the dua...
In this paper, we discuss the demand side management (DSM) problem: how to incentivize a consumer to equalize the load during the day through price-dependent demand. Traditionally, the retail market offers several electricity payment schemes. A schem...
We propose a new family of mechanisms, whereby players may give more or less directly to one another. A cornerstone case is the regular linear public goods mechanism (LPGM), where all contribute into a single common group account, the total amount of...
Real-time peer-to-peer communication in web browsers typically relies on centralized signaling servers, creating single points of failure, privacy vulnerabilities, and censorship risks. We present WebRTC Swarms, a fully decentralized signaling archit...
In this paper, we present a novel blockchain-enabled approach to opportunistic federated learning (OppCL) for intelligent transportation systems (ITS). Our approach integrates blockchain with OppCL to streamline the learning of autonomous vehicle mod...
It is a noteworthy phenomenon that institutional investors care more about the ESG performance of the firms in their portfolios in China. Exploring the role of institutional shareholders in firms’ ESG performance is vital for corporate sustaina...
Mobile Crowdsensing (MCS) leverages smart devices within sensing networks to gather data. Given that data collection demands specific resources, such as device power and network bandwidth, many users are reluctant to participate in MCS. Therefore, it...
The need for sustainable energy has incentivized the use of alternative fuels such as light alcohols. In this work, reduced chemistry mechanisms for the prediction of fires (pool fire, tank fire, and flash fire) for two primary alcohols—methano...
The need for lowering the environmental impacts has incentivized the investigation of biomass and biofuels as possible alternative sources for energy supply. Among the others, oxygenated bio-derived molecules such as alcohols, esters, acids, aldehyde...
Mobile crowdsourcing networks (MCNs) are a promising method of data collecting and processing by leveraging the mobile devices’ sensing and computing capabilities. However, because of the selfish characteristics of the service provider (SP) and mobil...
Data labeling systems are designed to facilitate the training and validation of machine learning algorithms under the umbrella of crowdsourcing practices. The current paper presents a novel approach for designing a customized data labeling system, em...
This study redesigns the supply chain of agricultural products in southwest China under the Belt and Road Initiative to improve its eco-efficiency by considering the associated agro-wastes flowing into bioenergy enterprise for energy production. Two...
In a carbon pricing mechanism, the collection of contributions (taxes) and the distribution of carbon revenue are both equally critical, as they constitute the interdependent elements of the same system. While contribution collection serves to econom...
Implementing green fiscal and tax policies for reducing emissions and pollution without negatively impacting economic growth remains a challenge. We aimed to determine whether environmental protection and economic growth can both be attained under a...
We investigate how state-owned corporate venture capital differs from privately owned corporate venture capital in fostering innovation among startups. Based on the data of Chinese A-share listed companies and the startups in their portfolios that th...
Despite the recent proliferation of research on internationalization, little attention has been paid to understanding the reasons behind the decrease in firm value accompanying international expansion. By delving into the underlying mechanisms and ap...
To enhance blockchain scalability, sharding technology enables parallel transaction processing, but existing solutions often neglect node heterogeneity, which introduces security risks and performance bottlenecks. This paper proposes a novel dynamic...
With the advancement of global digital transformation, data trading has become a pivotal element in value circulation and innovation among enterprises. In particular, pricing strategies in the industrial chain’s data trading process critically...
Drawing on a comprehensive sample of China’s A-share listed companies spanning 2007–2022, this paper provides empirical evidence on how institutional investment horizons shape corporate green innovation, with special attention to the oper...
This study explores the integration of activity-based costing (ABC) and the theory of constraints (TOC) with carbon tax policies to drive decarbonization in the Taiwanese glass industry. Employing a mathematical programming approach, four distinct mo...
This paper investigates the role of fight night bonus awards on fighter behavior in the Ultimate Fighting Championship (UFC) and World Extreme Cage (WEC) fighting mixed martial arts (MMA) promotions. Behavior is analyzed using detailed fighter perfor...
This study investigated the impact of China’s agricultural subsidy policy on farmers’ commercial production, indicated by sales market participation. A nationally representative survey data, panel Tobit model, IV Tobit model, and the Corr...
The primary objective of the AIR-BREAK mobility campaigns is to disseminate information to the general public and increase their awareness of the sustainable mobility services available. This is intended to promote the adoption of alternative, more e...
Biomimetic functionalization to confer stealth and targeting properties to nanoparticles is a field of intense study. Extracellular vesicles (EV), sub-micron delivery vehicles for intercellular communication, have unique characteristics for drug deli...
Crowdsensing is an emerging paradigm of data aggregation, which has a pivotal role in data-driven applications. By leveraging the recruitment, a crowdsensing system collects a large amount of data from mobile devices at a low cost. The critical issue...
Queueing systems with strategic servers are common in the service industry. The self-interested service rate decision of the strategic server will be detrimental to the queueing system. To improve the service rates, designing incentive contracts for...
This study focused on China’s A-share listed companies from 2017 to 2022, and concluded that tax incentives have a positive impact on the performance of green technology innovation, and that value-added tax preferences are more effective than i...
Multiagent systems (MASs) have a wide range of industrial applications due to agents’ advantages. However, because of the agents’ dynamic behaviors, it is a challenge to ensure the quality of service they present. In this paper, to addres...
This article investigates the traffic offloading problem in the heterogeneous network. The location of small cells is considered as an important factor in two aspects: the amount of resources they share for offloaded macrocell users and the performan...
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