Search Results (82)

The rapid convergence of the Internet of Things (IoT) and decentralized finance (DeFi) is reshaping the digital economy by enabling autonomous, trustless, and value-driven interactions among connected devices. This paper provides a comprehensive survey of the emerging paradigm that combines IoT’s pervasive sensing and communication capabilities with DeFi’s programmable financial infrastructure. We first discuss the motivation behind this convergence and explore key opportunities, including autonomous machine-to-machine (M2M) payments, decentralized data marketplaces, and trustless IoT service provisioning. Despite its potential, IoT–DeFi integration introduces significant security and privacy challenges related to smart contract vulnerabilities, consensus protocol risks, oracle manipulation, and constrained device capabilities. We review existing mitigation approaches such as lightweight cryptography, secure contract design, and decentralized identity management, and critically assess their limitations in heterogeneous, resource-limited environments. Building on this analysis, identify research gaps and propose future directions emphasizing formal verification of IoT-integrated smart contracts, robust oracle design, interoperability frameworks, and privacy-preserving trust models. This survey systematically maps opportunities, threats, and open issues. In doing so, it guides researchers and practitioners toward building secure, scalable, and energy-efficient IoT–DeFi ecosystems for next-generation decentralized applications. Full article

Background: Food is Medicine (FIM) programs improve health outcomes by integrating nutrition interventions into healthcare delivery, yet gaps remain in community partner capacity and local food system integration. This program aimed to build community capacity to develop a locally sourced, medically tailored meal (MTM) model connecting farmers, healthcare providers, and patients. Methods: Meals were developed by a registered dietitian following American Heart Association (AHA) Heart-Check and MyPlate nutrition standards. Recipes were adapted for freezing, scaled for production, and sourced from 26 central Kentucky farms. Eligible participants with hypertension or type 2 diabetes (T2D) were referred through the Food as Health Program at the UK healthcare screening hub and received 10 meals weekly for 12 weeks. Results: Twenty-five participants enrolled (76% female, mean age 52). Of the 25 that participated, n = 12 had complete pre- and post-clinical measures. There was a significant mean decrease in systolic blood pressure from 137.5 to 128.1 mmHg (−9.4 mmHg). There was no significant change in diastolic blood pressure, which went from 79.8 to 70.2 mmHg (−9.2 mmHg), and BMI, which went from 37.59 to 37.93 kg/m² (0.33 BMI). Over 80% of ingredients were locally sourced, generating $10,686 in farm sales. Participant satisfaction and engagement were high. Conclusions: A community-based FIM model using locally sourced, medically tailored meals improved health outcomes and generated measurable economic benefits for local farmers. Strengthening community capacity and integrating such programs into healthcare payment systems are critical next steps for scale and sustainability. Full article

Exemplified by EcoStruxure from Schneider and CASICloud, production-capacity-sharing platforms typically operate as two-sided platforms. These platforms contribute to carbon emission reductions while generating revenue through uniform membership fees, fixed service charges, or commission fees applied to one or both sides of the platform. As B2B platforms, however, they must determine whether to offer online payment options to participants on both sides of the market. We employ the theory of two-sided markets and the method of comparative analysis, developing a two-sided market model to investigate: (1) the platform’s optimal payment method selection strategies and (2) how same-side network externalities and user online search costs affect platform performance. We examine two payment modes: M mode (offline payments only) and F mode (combined offline/online payments). The F mode comprises two sub-modes—FF (two-sided users choose to pay offline) and FN (two-sided users choose to pay online)—determined by users’ payment preferences on each side. We conduct pairwise comparisons of the platform’s membership fee, fixed service fee, and online service level between: (i) FF and M modes and (ii) FN and M modes. Our results indicate that the optimal payment method selection varies across market conditions, with each mode demonstrating superior performance under specific market characteristics. The FF mode consistently yields higher profits compared to the M mode. When suppliers’ expected revenues fall below a certain threshold, the FN mode outperforms the M mode in terms of profit generation. Conversely, the M mode becomes preferable above this threshold. Furthermore, the effects of same-side network externalities and search costs vary significantly across different payment modes. Under the M mode and the FF₁ mode, the effects of the same-side network externality on the platform’s membership fee are associated with two-sided users’ online search costs, which are more monotonous. Under the FN₁ and FN₂ modes, both the same-side network externality and two-sided users’ online search costs impact the platform’s optimal strategies monotonously, but they are not always the same in these two modes. Full article

Despite the ongoing electromobility revolution in urban areas, fleet managers still prefer combustion engines over electric vehicles. Fleet electrification can deliver tangible benefits not only for the urban environment but also for the company itself. However, this requires a robust economic and technical analysis approach. This study assesses the technical and economic viability of integrating electric vehicle (EV) fleets into the Turkish manual frequency recovery reserve (mFRR) market. Using a life-cycle costing (LCC) framework, three operational scenarios are modeled: Baseline (leased EVs without V2G), V2G+ (leased EVs with aggregator-based mFRR), and High Utilization (owned EVs with full V2G integration and increased rental activity). The baseline scenario assumes a net cost of USD 142,500 over 10 years, excluding revenue share. V2G+ reduces this amount to USD 137,000, generating an annual income of approximately USD 4400 from its share of the frequency reserve. A high utilization scenario, combining V2G with ownership and higher rental income, reduces the net LCC to USD 125,500 and generates over USD 12,000 annually, reaching breakeven around year 7. Sensitivity analyses show that the financial profitability of the system is significantly influenced by EV purchase prices, aggregator fees, mFRR capacity payments, and vehicle utilization rates. Adding a 30–50% solar-powered charging enclosure further reduces operating costs by up to USD 21,500, demonstrating the synergistic potential of integrating V2G and distributed photovoltaics. These results influence not only the priorities for electrifying the urban vehicle fleet, but also smart city regulations in the area of energy management, through the development of bidirectional charging standards and pilot implementation of V2G in emerging markets such as Turkey. Full article

Sales competition and recycling rivalry are critical factors affecting the operation of closed-loop supply (CLSC). The existing research on competitive CLSCs primarily analyzes the impact of competition between two sales entities and/or two recycling entities on management decisions. To make the study more realistic, this study constructs a Stackelberg game model with the manufacturer as a leader, and analyzes the impacts of competition among $n$ retailers ($\mathrm{w}\mathrm{h}\mathrm{e}\mathrm{r}\mathrm{e} n\ge 2$) and rivalry among $m$ third-party recyclers $(\mathrm{w}\mathrm{h}\mathrm{e}\mathrm{r}\mathrm{e} m\ge 2)$ on the decision-making and profits of both node enterprises and the supply chain system, and proposes a linear transfer-payment contract to coordinate the CLSC from an economic perspective. Numerical analyses are conducted to visualize the effects of competition on the decisions and profits. The key findings are as follows: (1) In the centralized system, inter-retailer competition reduces optimal order quantities but does not affect optimal retail prices. In the decentralized system, however, it decreases both optimal order quantities and retail prices. (2) Rivalry among recyclers reduces their optimal recycling volumes but does not affect their optimal recycling prices in the centralized system. In the decentralized system, however, such rivalry not only decreases recycling volumes but also increases optimal recycling prices. (3) The manufacturer’s product wholesale price and used product recycling price remain independent of competitive interactions among retailers and recyclers in the decentralized system. (4) Competition among retailers and recyclers positively affects the profits of the CLSC and the manufacturer, but negatively impacts those of retailers and recyclers. (5) When the reward–penalty factors for product order and used product recycling fall within a specific range, the linear transfer-payment contract can coordinate the CLSC in the presence of competition in both retail and recycling. (6) All enterprises’ profits are sensitive to the penalty–reward factor, but this sensitivities also gradually decrease as the number of retailers and (or) recyclers increases. Full article

The Gahai wetland in Gansu, China, is a key wetland for nationally and globally threatened bird species. This research aims to quantify the economic value of wetland birds by the method of contingent valuation questionnaire, thereby providing a foundation for conservation of avian species. The result indicated that residents were willing to pay between 208 and 230 CNY (29–32 USD $) annually for bird protection, a total annual value of wetland birds in Luqu County ranging from 7.9 M to 8.8 M CNY (1.1–1.3 M USD $). Men, locals, and older individuals were more inclined to contribute and offered higher payments, albeit non-significant correlation between education level and annual income with the willingness to pay. While the depth of understanding of wetland pressures did not significantly influence the willingness to pay, it did show a positive correlation; those with more profound understanding tended to be more generous in their payments. Tibetan male residents were more likely to prioritize ecological and environmental protection due to their religious beliefs and cultural customs, which emphasize the reverence for and compassion towards birds. This research not only complemented and validated the applicability of the contingent valuation method in China but also underscores the considerations that should be taken into account when employing this method. Full article

This paper presents a structured methodology for identifying and addressing key communication challenges in the forestry sector, using the Czech Republic (CZ) as a case study. The approach integrates the CIMO model, problem tree analysis, SWOT evaluation, and a confrontation matrix to identify critical factors influencing communication challenges and prioritize strategic responses. Findings from a representative public survey (n = 3600), participatory workshops, and expert consultations indicate that the primary challenge (C) in Czech forestry is a fragmented sector facing declining trust and minimal media presence. The proposed intervention (I) is a unified, strategic communication methodology designed to activate the mechanism (M) of shared narratives and coordinated messaging. This approach aims to achieve the desired outcomes (O): increased trust, engagement, and legitimacy. The absence of a unified, long-term communication strategy contributes significantly to public misunderstanding, erodes trust, and limits policy support. The study proposes evidence-based tools to enhance sector visibility, coherence, and public engagement. With direct payments for ecosystem services under debate in CZ, effective communication is a prerequisite for securing public and political support. The methods employed have broader relevance for forestry in other countries seeking strengthened stakeholder alignment through strategic communication. Full article

This study empirically examines the determinants of merger and acquisition (M&A) activities in Vietnam from 2005 to 2020, which has not been examined before, using a fixed-effects model for a sample of 674 completed M&A deals. The results indicate that targets’ corporate governance and deal characteristics have mixed effects on M&A decisions. More specifically, the independent member of the board and CEO duality of the target is negatively associated with most M&A types, except for cross-border mergers. However, the impact of targets’ blockholders is consistently positive regardless of M&A types. When observing the deal characteristics, mixed evidence is also found in the case of M&A payment form, industry-relatedness between the bidder and the target, the bidder’s stake in the target, and foreign ownership in the bidder’s stake. More interesting, our study emphasizes that voluntary agreement is seemingly critical to M&A decisions regardless of different types. Our results suggest several important implications, including balancing independent directors on the board, accounting for CEOs’ and other blockholders’ interests and influence, considering the types of M&A payments, and involving foreign investors in M&A activities. By understanding these implications, firms can better navigate the complexities of M&A transactions, enhancing their decision-making processes and ultimately contributing to improved shareholder value. Full article

The REDD+ framework (Reducing Emissions from Deforestation and Forest Degradation, along with sustainable forest management and the conservation and enhancement of forest carbon stocks in developing countries) incentivizes developing countries to reduce greenhouse gas emissions and enhance carbon storage by mitigating deforestation and forest degradation. To receive results-based payments, participating countries must meet United Nations Framework Convention on Climate Change (UNFCCC) requirements for Measurement, Reporting, and Verification (MRV) capacities. This study categorizes developing countries into three phases based on MRV implementation levels: phase 1 (readiness), phase 2 (demonstration), and phase 3 (implementation). Unlike the higher implementation levels observed in phase 2 and phase 3 countries, phase 1 countries have received limited attention due to their early stages of REDD+ implementation. However, assessing the potential of these countries for future REDD+ engagement and Internationally Transferred Mitigation Outcome (ITMO) collaboration is crucial for achieving REDD+ goals. Thus, this study quantitatively assessed MRV capacity among phase 1 countries using an MRV capacity assessment tool, with the goal of identifying high-potential candidates for REDD+ advancement. We applied an MRV capacity assessment tool to 48 phase 1 countries out of the 71 developing countries registered on the REDD+ web platform as of September 2024. The results reveal that (1) the countries with the highest MRV scores were Ghana, India, Guatemala, Liberia, and Mongolia, with Ghana demonstrating strong potential for progression to the implementation phase due to its robust performance in both Measurement and Reporting components. In contrast, Chad scored the lowest, followed by Uruguay, Namibia, Mali, Cuba, and Benin. (2) Overall, phase 1 countries scored lower in the Reporting (R) component, which emphasizes administrative capacity, compared to the Measurement (M) component, which is technically oriented, highlighting the need for improved administrative capacity, particularly in developing and submitting the National Strategy/Action Plan and Safeguard Information System report to meet Cancun Agreement standards. While this study evaluates REDD+ implementation potential in phase 1 countries based on MRV capacity, future research should explore the effectiveness of strengthening MRV capacity through Official Development Assistance (ODA), assessing potential emissions reduction and ITMO potential. Full article

This study investigates the financial performance of target companies involved in mergers and acquisitions (M&As), aiming to reveal the dynamics affecting these organizations pre- and post-transaction. Utilizing a comprehensive dataset, we analyze the financial outcomes of M&A deals globally, spanning from 2010 to 2019. Employing various financial ratios, such as liquidity ratios, profitability measures, leverage ratios, asset management ratios, and market valuation metrics, this research provides an understanding of how M&As influence the financial performance of target companies. The key findings suggest that target companies experience significant changes in their financial ratios post-acquisition, with liquidity and profitability ratios showing marked fluctuations. The study shows that the method of payment (cash vs. non-cash) and the size of the deal significantly influence the post-acquisition financial performance of target companies. Cash-based and lower-valued deals are found to have a more positive impact on financial stability and growth metrics. This research contributes to the existing body of knowledge by highlighting the marginal effects of acquisition strategies on target companies’ financial performance. Our findings provide practical insights for potential acquirers, suggesting that the choice of acquisition method and deal size can significantly affect the financial outcomes of M&A activities. Full article

China established a coal power capacity payment mechanism to allow coal power to play a fundamental supporting and regulating role. It is difficult to generate peak power for long periods. The effects of variation in over-fire air ratio and burner deflection angle were investigated to optimize combustion conditions at half load. This simulation is based on field data from a new 660 MW tangentially fired boiler. The results indicate that when the over-fire air ratio increased from 17.6% to 27.6%, the NO_x concentration decreased by about 45.1% in the burnout zone. The concentration decreased from 284 mg/m³ to 156 mg/m³. However, a large eddy formed in the top zone affected the flow field. The heat transfer at the horizontal flue was affected. The flow field structure can be optimized by moderately adjusting the deflection angle (−5°) of the burner. A further increase in the deflection angles (−10° and −15°) reduced NO_x by about 10%. It affected the adequate combustion of pulverized coal and the flow field at the top zone. Considering the overall combustion conditions, it is recommended that the burner be offset downward at a small angle. Full article

China has been facing a contradiction between its water supply and demand for a long time, and it is urgent that it builds a “water-saving society”. Previous research on water pricing mainly focused on the policy level, only considering the supply and demand sides and ignoring the participation of local governments. Due to the inconsistent approval mechanisms, different times of cost formation, and lack of a scientific pricing relationship between multiple water sources and multiple users, with the current water pricing in China, it is difficult to solve the complex problem of water resource allocation. This study aimed to promote the qualitative supply of water and the reuse of reclaimed water, achieve a high-quality and low-cost water supply, and explore the role of water-pricing mechanisms in the regulation of multi-source water supply configurations. The mechanism of regulation is constructed for the complex, multi-source, multi-user water resource system, and a three-party game model is established among local governments, water supply enterprises, and water users. A reasonable pricing system with a rational price relationship is obtained, and Pinghu City in Zhejiang Province is taken as the research area. The prices of the external water supply to residential users, non-resident users, and special users are 4.48 CNY/m³, 6.28 CNY/m³, and 7.12 CNY/m³. The external supply prices for resident users, non-resident users, and special users are 3.81 CNY/m³, 5.25 CNY/m³, and 6.05 CNY/m³. The external supply price for non-resident users is 2.62 CNY/m³ for reclaimed water. The results of the study showed that when the government’s contribution did not exceed the amount that it would have been without the inclusion of recycled water and the annual payment of water users did not exceed their ability to pay, the income of water suppliers increased by 69%. The three balanced objectives of rational water resource configuration by the local government, reasonable profit for the water supply enterprise, and reasonable payment by water users have been achieved. This study provides theoretical and methodological support for the implementation of water pricing for multi-source and multi-user water supplies in water-scarce areas. Full article

This study examines the dynamics of owner behavior, agency costs, and M&A outcomes in the Korean market, aiming to explore how ownership concentration influences conflicts among principal groups and impacts M&A performance. Using empirical data from Korean M&A transactions, we analyze the effects of ownership concentration and cash payment preferences on firm value. Our findings indicate that while ownership concentration can reduce owner–manager conflicts, it heightens principal–principal conflicts, especially with moderate ownership, weak governance, or financial distress. Control-focused owners prefer cash payments, which can lower acquiring firm announcement returns under high ownership concentrations. Effective governance is crucial for fostering responsible decision-making and sustainable practices in M&As. This research underscores the importance of balanced ownership structures and robust governance mechanisms in mitigating agency conflicts and promoting sustainable M&A performance. Full article

Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are novel oral anti-hyperglycemic drugs that demonstrate cardiovascular and metabolic benefits for patients with type 2 diabetes (T2D), heart failure (HF), and chronic kidney disease (CKD). There is limited knowledge of real-world data to predict adherence to SGLT-2i in an ambulatory setting. The study aims to predict SGLT-2i adherence in patients with T2D and/or HF and/or CKD by building a prediction model using electronic prescription claims data presented within EPIC datasets. This is a retrospective study of 174 adult patients prescribed SGLT-2i at UC San Diego Health ambulatory pharmacies between 1 January 2020 to 30 April 2021. Adherence was measured by the proportion of days covered (PDC). R packages were used to identify regression and non-linear regression predictive models to predict adherence. Age, gender, race/ethnicity, hemoglobin A1c, and insurance plan were included in the model. Diabetes control based on hemoglobin A1c (HbA1c) and the glomerular filtration rate (GFR) was also evaluated using Welch t-test with a p-value of 0.05. The best predictive model for measuring adherence was the simple decision tree. It had the highest area under the curve (AUC) of 74% and accuracy of 82%. The model accounted for 21 variables with the main node predictors, including glycated hemoglobin, age, gender, and insurance plan payment amount. The adherence rate was inversely proportional to HbA1c and directly proportional to the plan payment amount. As for secondary outcomes, HbA1c values from baseline till 90 days post-treatment duration were consistently higher in the non-compliant group: 7.4% vs. 9.6%, p < 0.001 for the PDC ≥ 0.80 and PDC < 0.80, respectively. Baseline eGFR was 55.18 mL/min/1.73m² vs. 54.23 mL/min/m² at 90 days. The mean eGFR at the end of the study (minimum of 90 days of treatment) was statistically different between the groups: 53.1 vs. 59.6 mL/min/1.73 m², p < 0.001 for the PDC ≥ 0.80 and PDC < 0.80, respectively. Adherence predictive models will help clinicians to tailor regimens based on non-adherence risk scores. Full article

This study investigates the widespread adoption of mobile payments (m-payments) and their impact on different generations, particularly post-COVID-19. We fill a gap in research by suggesting a new way to understand this phenomenon through the lens of social cognitive theory. We employed a multi-stage sampling technique, including purposive, quota, and snowball sampling, to ensure comparable group sizes for four generations and obtained usable survey data from 716 Thai online shoppers. The results reveal direct and indirect (through perceived values) significant relationships between technological self-efficacy and m-payment intention. While perceived values, which constitute functional, emotional, monetary, and social values, fully mediate the relationship between technological self-efficacy and m-payment intention in Gen B and Gen X consumers, it only partially mediates such a relationship in the Gen Y and Gen Z cohorts. Our findings also provide crucial theoretical and practical insights for digital commerce in the evolving landscape of m-payment adoption. Full article