Follow blockchain research across journals, conferences, and preprint repositories.
95,686 results · page 259 of 3,987
Raghavendra Sai Akkinapragada
No abstract is available for this record.
Gina-Gail S. Fletcher, Veronica Root Martinez, Steven L. Schwarcz
No abstract is available for this record.
Steven L. Schwarcz, Regis Bismuth, Anne-Catherine Muller, Anne-Claire Rouaud · 17 authors
No abstract is available for this record.
David Krause
No abstract is available for this record.
Paul Atagamen Aidonojie, Godswill Owoche Antai, Esther Chetachukwu Aidonojie, Saminu Wakili Abacha · 5 authors
The rapid growth of the metaverse which is a virtual space that integrates augmentedreality, virtual reality, and blockchain technologies brought immense economicopportunities and challenges across the world. While developed nations increasinglyposition to leverage these opportunities, developing countries like Nigeria may faceunique obstacles in utilising the metaverse technology. It is in this regard, that thisstudy examines the legal and regulatory issues as it concerns the economic challengesposed by the metaverse in Nigeria's economy, indicating how regulatory gaps,infrastructure limitations, and inadequate legal frameworks can serve to impacteconomic participation in the growth of virtual spaces. Concerning this, the study willemploy the use of doctrinal methods of study, relying on primary and secondarysources of research materials. The data obtained from these sources were analysedusing a descriptive and analytical method of study. The study found that the conceptof metaverse has gained global recognition, and it could aid in the development of theNigerian economy. The study further found that several legal and social issues mayarise in utilising the metaverse concept in the Nigerian economy. Given the review ofcurrent legislation on virtual assets, decentralized finance, and immersive digitalinteractions, these challenges include data privacy, digital property rights, taxation,consumer protection, and cybersecurity. Hence, the study, therefore, concludes andrecommends that there is a need for Nigeria to implement a decent regulatoryapproach, considering both rights and interests when operating its economy throughmetaverse technology and economically maximizing the opportunities the metaversetechnology presents to Nigeria.
Waseem Kkhoso
No abstract is available for this record.
Avdhesh Gupta, Jitendra Kumar, Vishan Kumar Gupta, Anu Chaudhary
No abstract is available for this record.
eligio haddad
No abstract is available for this record.
David Krause
No abstract is available for this record.
Pavani Aravalapalli
No abstract is available for this record.
ArseniiDmitriev
This bachelor thesis focuses on how insiders of the Solana ecosystem understand the success of decentralized finance (DeFi) projects and what factors they consider key to achieving it. The aim of the thesis is to identify and structure the main product, team, community, user, economic, and ecosystem dimensions that, according to respondents, collectively shape the success of DeFi projects on the Solana platform. The research is based on a literature review of DeFi and the specifics of the Solana ecosystem, as well as a qualitative survey based on eight semi-structured interviews with members of DeFi project teams and micro-influencers active in Solana DeFi. The data was analyzed using thematic analysis, which led to the identification of eleven main themes covering, among other things, product value and innovation, the role of the team and network, community and communication, UX/UI and onboarding, tokenomics and value distribution, security, integration and partnerships, and the influence of market cycles and narratives. The results show that success is not associated with a single isolated factor, but with a portfolio of interdependent dimensions, some of which are directly controlled by project creators and some of which are determined by the broader ecosystem and market context. The work provides a theoretical contribution in the form of a systematic framework of success factors for DeFi projects specifically in the Solana environment, as well as a practical contribution for creators, investors, and other actors, offering them a roadmap for designing, evaluating, and strategically managing DeFi projects on this platform.
Sushmita Chakraborty
No abstract is available for this record.
Dung Cao, Palaash Gang
No abstract is available for this record.
Athar Kharal, Sanaa Anjum, SyedA Yasmeen
No abstract is available for this record.
Dr Mu’azu Omeiza Musa, Professor Olugbenga-Bello Adenike, MBBS, PhD, Adah Patrick Eneojo, Dr Onoja-Alexander Mary Ojonema, MBBS, PhD FWACP · 7 authors
Strengthening Primary Health Care (PHC) financing, governance, and operational readiness is fundamental to achieving resilient health systems and sustainable health security in low- and middle-income countries. Between 2022 and 2025, the Kogi State Government implemented a package of PHC reforms comprising Decentralized Facility Financing (DFF), the Minimum Service Package (MSP), and Continuous Quality Improvement (CQI) interventions to improve service delivery, strengthen facility readiness, stabilize commodity supply systems, and expand equitable access to vulnerable and hard-to-reach populations. We evaluated the Health Systems for Health Security success coefficients in Kogi State using a facility month DHIS2 panel of n=96 PHCs (January 2019–December 2025) and BHCPF Monthly Report Forms (2024–2025). The quasi experimental mixed methods design combined an augmented two way fixed effects Difference in Differences (DiD) estimator for average treatment effects, Interrupted Time Series (ITS) segmented regression to decompose immediate (level) and sustained (slope) impacts, multilevel mixed effects models for heterogeneity, and bootstrap causal mediation to quantify operational pathways. Models adjusted for seasonality, HRH density, environmental risk, and facility fixed effects; inference used cluster robust standard errors and bootstrap confidence intervals. Primary analysis used R (4.3.2) with lme4, fixest, brms/rstanarm, INLA, MatchIt/WeightIt, CausalImpact, sf, spdep; confirmatory DiD and event study checks used Stata/MP 18.0. All code was versioned in Git and analysis notebooks and key outputs were archived. DFF with CQI produced statistically and programmatically meaningful gains across core BMPHS indicators: DPT3 +6.2 percentage points (95% CI 3.9–8.5); ANC1 +5.1 pp (95% CI 2.8–7.4); SBA +4.8 pp (95% CI 1.9–7.7); PNC +4.3 pp (95% CI 1.6–7.0). ITS decomposition for DPT3 showed an immediate level increase of +3.7 pp (95% CI 1.9–5.5) and a sustained slope of +0.12 pp/month (95% CI 0.06–0.18). Mediation analysis attributed large shares of the DPT3 gain to facility readiness, functional Ward Development Committees, tracer drug availability, and IPC compliance as the largest contributors. Predictable facility financing coupled with CQI and targeted investments in readiness, governance, and supply chain resilience yields rapid and sustained improvements in immunization and maternal health coverage. Policy priorities include protecting cold chain and tracer drug lines, institutionalizing WDC governance and IPC audits, and targeting surge HRH and outreach financing to high risk LGAs to close equity gaps. The findings demonstrate the predictability of decentralized financing combined with CQI, governance strengthening, outreach expansion, and operational readiness investments towards the improvement of PHC utilization, immunization coverage, maternal health services, and health system resilience. The study provided epidemiologic evidence to test integrated PHC financing reforms relevance in the strengthening of Health Systems for Health Security (HSFORSHS) in improving accessibility, equity, preparedness, surveillance functionality, and continuity of essential services in vulnerable populations.
Christopher Staples
No abstract is available for this record.
David Krause
No abstract is available for this record.
Sergei Solovev
Predicting short-term mid-price movements from limit order book (LOB) data is a fundamental problem in quantitative finance and market microstructure research, with direct applicability to both traditional exchanges and cryptocurrency markets—including centralized exchanges (CEXs) and emerging on-chain LOB protocols in decentralized finance (DeFi). We present three contributions to this domain. First, we propose DA-BiGRU-CNN, a domain-aware dual-branch architecture that decomposes LOB features into price and volume information channels, processes them through dedicated bidirectional GRU encoders with shared microstructure features, and fuses temporal representations via a multi-scale convolutional bottleneck (Conv1d with kernels k = 3,5,7). Second, we provide empirical evidence for a "feature sufficiency" hypothesis: a unidirectional GRU trained on 53 basic features achieves performance statistically equivalent to one trained on 219 extensively engineered features—including rolling statistics, exponential moving averages, and lag/difference features—suggesting that recurrent hidden states implicitly learn these temporal patterns. Third, we document a "negative ensemble effect" where combining sequential (GRU) and tabular (gradient boosting) models consistently degrades prediction quality, contradicting the widely-held assumption that model diversity improves ensemble performance. On a large-scale dataset of 12,165 LOB sequences (12.1M timesteps), our GRU baseline achieves a weighted Pearson correlation of 0.266, outperforming LightGBM by 58%, while our domain-aware architecture offers an architecturally principled alternative that naturally separates price dynamics from liquidity dynamics.
Luca Bassil
No abstract is available for this record.
Chi Jiang, Caixing Shao, Xiaoyan Huang, Ming Tao · 6 authors
Blockchain technology is evolving toward next-generation blockchain systems, where AI-empowered optimization plays a key role in enhancing scalability, efficiency, and security. However, in the context of smart contract vulnerability detection, however, most vulnerabilities originate from a few critical code fragments, resulting in a severe signal-to-noise imbalance. This imbalance introduces representation noise and redundant information in complex contract code, obscuring the true vulnerability semantics and hindering the effectiveness of AI-based models such as graph neural networks (GNNs). To address this challenge, we propose CoTA, a feature augmentation framework that leverages two easily obtainable signals: code-cohort feature and task-shared feature. Code-cohort features capture the observation that contracts with similar structural/behavioral patterns often implement similar business functions, and thus share vulnerability priors (e.g., higher reentrancy risk in fund-transfer-heavy cohorts). Task-shared feature, on the other hand, learned via a multi-task setup that jointly trains coarse contract-level multi-label classification and fine-grained function-level labeling to distill shared representations. Extensive experiments on real-world dataset show that CoTA achieves consistent improvements in detection accuracy, offering a practical and effective solution for smart contract security analysis.
M. Kavitha Margret, V. Ranjith, M. Sakthivel, P. Yuven Krishna
No abstract is available for this record.
Riham Badra, Lazhar Hamel, Layth Sliman
The rapid evolution of 5G and the growing complexity of digital services have increased the need for robust, transparent, and automated Service Level Agreement (SLA) management. Traditional management methods across different sectors like telecommunications and cloud computing frequently suffer from a lack of transparency and a heavy reliance on centralized third parties, which can lead to disputes and delayed enforcement. To address these challenges, smart contracts using blockchain technology offer a transformative solution, automating SLA execution and ensuring decentralized, tamper-proof enforcement. This paper provides a comprehensive survey and critical analysis of existing traditional SLA management systems and smart contract-based management. By studying and examining various frameworks across 5G, cloud computing, IoT, and telecommunications, we highlight common strategies, technical trade-offs, and existing gaps in current research. Through a structured classification and comparative analysis, this study offers an overview of blockchain-based SLA management current state while providing a strategic roadmap for the future of SLA representation and automated lifecycle management.
G.V. Radhakrishnan, Agnieszka Góra-Błaszczykowska
No abstract is available for this record.
Ali Amjed Ali Al-Asadi, George Lebbos, Gaby Abou Haidar, Hamid Ali Abed AL-Asadi
No abstract is available for this record.