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51,074 results · page 171 of 2,129
João Crisóstomo, Fernando Bação, Victor Lobo
No abstract is available for this record.
Elvira Albert, Emanuele De Angelis, Marco Di Ianni, Fabio Fioravanti · 5 authors
Testing has become an integral part of the software development process in order to ensure the correct and safe execution of programs. A powerful approach to testing is property-based testing that aims at generating unit tests that verify that a certain property of interest holds. However, smart contracts are also characterized by important non-functional aspects, such as the gas consumption required to execute their functions. Static gas analyzers are able to obtain parametric gas bounds - that soundly over-approximate - the gas consumption of executing each of the public functions within a smart contract. This paper discusses our ideas towards combining both formal methods, property-based testing and gas analysis, in order to generate gas-aware unit tests that can ensure the gas requirements provided by the programmers.
Ajith Perera, Dr. James Collett, Russell Conduit
Project Title Understanding Financial Counsellor Perspectives On Cryptocurrency Investing Principal Investigator Ajith Perera (PhD Candidate, RMIT University) Supervisors: Dr. James Collett (Primary), Dr. Russell Conduit (Secondary) Project Description This qualitative research explores how financial counsellors conceptualise and respond to cryptocurrency-related financial harm in their professional practice. The study examines counsellors' perspectives on whether cryptocurrency engagement represents gambling, investment, or hybrid behaviours, and investigates how these conceptualisations influence intervention strategies. Financial counsellors encounter diverse presentations including voluntary problematic trading patterns and cryptocurrency-related fraud victimisation, both potentially exhibiting gambling-like psychological mechanisms such as loss-chasing and escalating commitment. Research Aims and Objectives Primary Aim: To understand how financial counsellors view and interact with clients who engage with cryptocurrencies across the gambling-investment-fraud continuum. Research Questions: How do financial counsellors decide if someone's cryptocurrency trading reflects gambling versus investment behaviours (including voluntary problematic trading and exploitation through fraudulent schemes)? What role does financial literacy play in whether clients develop problematic cryptocurrency engagement patterns? How do counsellors identify and help clients with problematic cryptocurrency engagement? What challenges do counsellors face and what training or resources do they need to address cryptocurrency-related financial harm effectively? Rationale Cryptocurrency trading has emerged as a novel phenomenon with concerning parallels to gambling addiction. Research suggests cryptocurrency's structural characteristics—volatility, 24/7 availability, minimal barriers to entry—may facilitate gambling-like behaviours while also serving as a medium for investment scams exploiting similar psychological vulnerabilities. Financial counsellors occupy a unique position at the intersection of financial advice and behavioural intervention, providing direct observational evidence of how problematic cryptocurrency engagement presents in practice. Their professional experiences reveal assessment and intervention strategies unavailable through literature review alone, identifying specific training and resource needs to enhance professional capacity. This research addresses a critical knowledge gap in understanding professional responses to this emerging financial harm. Research Methodology Design: Qualitative study using semi-structured individual interviews and reflexive thematic analysis (Braun & Clarke, 2019). Theoretical Framework: Behavioural finance theory (Kahneman & Tversky, 1979), problem gambling frameworks (Blaszczynski & Nower, 2002), and professional practice theory (Schön, 1983). Data Collection: Semi-structured individual interviews (60-90 minutes each) Conducted via secure video conferencing or telephone Audio recorded with participant consent Open-ended questions exploring professional experiences, intervention strategies, and challenges Analysis Approach: Reflexive thematic analysis following Braun and Clarke's framework, allowing construction of meaningful themes through iterative engagement with rich contextual data while maintaining theoretical grounding. Participant Selection and Recruitment Sample Size: 8-15 certified financial counsellors (typical for qualitative research using reflexive thematic analysis, ensuring sufficiently rich data while maintaining analytical depth). Inclusion Criteria: Certified financial counsellors with recognized professional certification Current experience working with clients engaging in cryptocurrency-related financial presentations Able to participate in 60-90 minute interview Over 18 years of age, English-speaking Exclusion Criteria: Uncertified practitioners or those without formal financial counselling qualifications Unable to commit to interview participation requirements Under 18 years of age or non-English speakers Sampling Strategy: Purposive sampling ensuring diversity across experience levels, practice settings (private practice, non-profit, government agencies), and geographical locations (urban and regional Australia). Recruitment Methods: Professional networks and organisations (Financial Counselling Australia) Educational providers with connections to practitioners Public website searches of financial counselling practices Direct email contact using publicly available professional addresses Data Management Plan Data Collection: Audio recordings of interviews (45-60 minutes each) Interview transcripts (Word documents) Consent forms (PDF scanned documents) Participant demographic information (Excel spreadsheets) Data Storage During Project: RMIT network H: drive with password protection Separate storage of identifiable data and de-identified research data Access limited to research team only (Ajith Perera, Dr. James Collett, Dr. Russell Conduit) De-identification Protocol: Participants assigned unique codes (P01, P02, etc.) immediately following data collection Names, workplace locations, and identifying information removed from transcripts Coding key stored separately and destroyed after transcript approval by participants Audio recordings destroyed following transcription verification Data Retention: Personal identifiers: Destroyed after all participants approve transcripts De-identified research data: Retained for 5 years following publication (RMIT policy compliance) Audio recordings: Destroyed following transcription verification Ethics Approval: RMIT University Human Research Ethics Committee (Reference number: 29607) Project Benefits Individual Participants: Opportunity to reflect on professional practice and contribute to knowledge development Access to research findings that may enhance professional effectiveness Recognition of expertise in emerging area of practice Financial Counselling Profession: Evidence-based practice guidelines for addressing cryptocurrency-related financial harm Targeted training modules and specialised resources Enhanced professional capacity to support diverse client presentations Broader Community: Improved client outcomes through more effective counselling interventions Potential for early intervention reducing financial and mental health harm Contribution to public health approaches and regulatory improvements Better support for vulnerable populations (older adults, individuals with debt, disability pension recipients, regional communities) Risk Management Minimal Risks Identified: Time commitment (60-90 minutes) Potential discomfort reflecting on challenging professional cases Confidentiality concerns regarding professional reputation Risk Mitigation: Voluntary participation with right to withdraw at any time Comprehensive de-identification protocols Secure data storage and handling procedures Mental health support resources provided (Lifeline 13 11 14, Beyond Blue 1300 22 4636) Transcript review opportunity for participants Clear communication about confidentiality protections Timeline Start Date: Upon ethics approval End Date: Three years from approval date (maximum) Current Status: Ethics application submitted [insert date] Funding and Conflicts of Interest Funding: Supported by RMIT University resources Conflicts of Interest: None declared by research team Expected Outputs PhD thesis chapter Peer-reviewed journal publications in financial counselling, gambling studies, and public health Conference presentations at professional forums Practice guidelines for financial counsellors Training resource recommendations Compliance This research adheres to: National Statement on Ethical Conduct in Human Research (2023) Australian Code for Responsible Conduct of Research (2018) RMIT University research policies and procedures Privacy legislation (Victorian Information Privacy Principles) Pre-Registration Date: [insert] Ethics Reference Number: 29607
José Javier Losada
No abstract is available for this record.
Yi Cao, Pengfei Luo, Yuhan Cheng, Yizhe Dong
No abstract is available for this record.
Umut Gökçen
No abstract is available for this record.
Andrusha Parilov Harden, Raanju Sundararajan
No abstract is available for this record.
Osha Shukla
No abstract is available for this record.
Bernadett Aradi, Gábor Petneházi
No abstract is available for this record.
Botirjon Rakhimov
No abstract is available for this record.
Murray A. Rudd
No abstract is available for this record.
Michala Moravcova, Peter Albrecht, Šimon Hvizd
No abstract is available for this record.
Jana Novaková, Adi Lestari
Given that digital governance has achieved extensive spread and people rely increasingly on online services, affordable and trustworthy identity management is now one of the core pillars of contemporary e-Governance systems. Conventional identity systems are usually centralized, highly susceptible to cyber-attacks and most likely to breach privacy. Blockchain technology provides a decentralized, tamper-proof, and transparent system, which guarantees data integrity, data security, and the privacy of the user. In this paper, the authors research the adoption of blockchain-based identity management within e-Governance sites. We discuss available solutions, assess the risks along with their weaknesses and strengths, and suggest a design on how to introduce a safe blockchain-based identity system. Important efforts have been on developing a holistic system that brings smart contract, cryptographic protocols and distributed ledger technologies together to make citizen identification and authentication secure. The outcome of the results shows enhanced security, less identity fraud, and better data security, so there is a possibility of scalability and resilient e-Governance applications.
Muhammad Asad, Aurora Paz-Pérez, F. Sánchez, Carlos Núñez-Gómez · 12 authors
No abstract is available for this record.
Project Manager- OSP Financial Controls & Forecasting, Aishwarya Korde
Traditional Purchase Order (PO)-to-invoice reconciliation processes in infrastructure finance are often fragmented, opaque, and vulnerable to error or manipulation, especially within public-sector grant-funded projects. Manual validation and spreadsheet-based tracking make it difficult to maintain transparency, traceability, and compliance across multiple 6stakeholders. This paper proposes a blockchain-enabled framework for automating audit trails in PO/invoice reconciliation, ensuring data integrity, accountability, and real-time verification of financial transactions. The study explores how distributed ledger technology (DLT) can integrate with existing enterprise resource planning (ERP) systems to record procurement events—purchase orders, goods receipts, and invoices—on an immutable, time-stamped ledger. Smart contracts are introduced to automatically validate invoice–PO matches and flag anomalies in payment amounts, vendor identities, or project milestones. Using simulated public infrastructure grant data, the proposed framework compares blockchain-assisted reconciliation to traditional FP&A workflows on metrics such as accuracy, processing time, and audit readiness. The results demonstrate that blockchain-based reconciliation significantly enhances financial transparency, reduces manual effort, and mitigates fraud and double billing. Furthermore, integration with business intelligence dashboards enables continuous monitoring of fund utilization across projects. This research contributes to the emerging domain of financial technology in infrastructure governance by showing how blockchain can transform reconciliation from a reactive accounting process into a proactive, automated compliance mechanism.
O.B Ayoko
Blockchain technology is reshaping how electricity can be produced, traded, and governed, offering new possibilities for countries grappling with unreliable grids and persistent supply gaps. This paper investigates the emergence of blockchain‑enabled peer‑to‑peer (P2P) energy trading, using Nigeria as a lens to explore how decentralized digital infrastructure could redefine participation in electricity markets. Drawing on parallels with the rapid digitalization of financial services, the study examines how distributed ledger systems can support direct energy exchange between prosumers, shift utilities toward roles as market custodians, and improve system trust through transparent, tamper‑proof transaction records. The analysis evaluates regulatory readiness, technical prerequisites, and socioeconomic impacts within Nigeria's evolving energy ecosystem, where chronic shortages and grid instability create both urgency and opportunity for alternative market models. The findings highlight the potential for P2P trading to accelerate energy access, stimulate local investment, and catalyse a more resilient, consumer‑centric electricity sector.
Patrick Robert Miller
K501 is a deterministic temporal-structural integration framework designed to provide append-only state anchoring, canonical serialization, and hash-bound integrity across heterogeneous systems. The framework does not replace existing infrastructures such as databases, version control systems, or distributed ledgers. Instead, it operates as an optional structural overlay layer that encapsulates states in a formally defined frame model with explicit time anchoring (UTC + Unix Epoch). K501 focuses on: Deterministic canonical serialization Append-only historical discipline Explicit temporal positioning Snapshot-based integrity Cross-system structural interoperability The specification defines minimal compliance requirements for structural integration without modifying internal operational semantics of integrated systems. K501 is intended as a neutral structural discipline for temporal knowledge stabilization and reproducible state documentation. Peace 🕊️ Frames stehen nicht isoliert! Das ist eine formal belastbare Beschreibung. Keine Überhöhung.Kein AGI.Keine Spekulation.Aber diese hier ist solide. 🕊️
Patrick Robert Miller
K501 is a deterministic temporal-structural integration framework designed to provide append-only state anchoring, canonical serialization, and hash-bound integrity across heterogeneous systems. The framework does not replace existing infrastructures such as databases, version control systems, or distributed ledgers. Instead, it operates as an optional structural overlay layer that encapsulates states in a formally defined frame model with explicit time anchoring (UTC + Unix Epoch). K501 focuses on: Deterministic canonical serialization Append-only historical discipline Explicit temporal positioning Snapshot-based integrity Cross-system structural interoperability The specification defines minimal compliance requirements for structural integration without modifying internal operational semantics of integrated systems. K501 is intended as a neutral structural discipline for temporal knowledge stabilization and reproducible state documentation. Peace 🕊️ Frames stehen nicht isoliert! Das ist eine formal belastbare Beschreibung. Keine Überhöhung.Kein AGI.Keine Spekulation.Aber diese hier ist solide. 🕊️
Nathaniel Ajiboye
No abstract is available for this record.
Qing Liu, Zanhui Liu, Vivian Yue
No abstract is available for this record.
Jorge D' Peralta
No abstract is available for this record.
Acharya Sennimalai Kalimuthu
No abstract is available for this record.
Daria Zaitseva
The 2026 cryptocurrency market cycle has witnessed the emergence of a novel asset class that defies traditional financial categorization: the AI-Integrated Meme Asset (AIMA). This report provides an exhaustive analysis of this phenomenon, utilizing the trajectory of Act I: The AI Prophecy ($ACT) as a primary case study. We posit that the convergence of large language models (LLMs) and decentralized community coordination has created a new "meta" for liquidity formation, characterized by the transition from static meme imagery to dynamic, agentic interaction. Central to this analysis are two theoretical frameworks proposed herein: the "Spring Effect," a market mechanics model describing the kinetic release of accumulated volatility following suppression events, and "Cognitive HODLing," a behavioral finance concept drawing on Social Identity Theory and Kahneman’s Prospect Theory to explain the rigidity of social consensus in the face of founder betrayal. Through a synthesis of on-chain data, behavioral analysis, and the philosophical frameworks of Vitalik Buterin and Satoshi Nakamoto, this report argues that $ACT represents the pioneer of a "Decentralized Agentic Economy," where value is derived not from revenue, but from the resilience of the human-AI social fabric.
Tingyi Lin, Weiyu Qi, Karl Yu, Huanxi Zhang
No abstract is available for this record.