У статті досліджується проблематика надмірного енергоспоживання класичних блокчейн-мереж та розробка екологічно стійких архітектур для промислової Web3-інфраструктури. На тлі глобальних кліматичних ініціатив (таких як Європейський зелений курс) та жорстких нормативних вимог (регламент MiCA) обґрунтовано необхідність системного підходу до технологічної оптимізації децентралізованих систем. Проаналізовано еволюцію протоколів консенсусу з акцентом на застосуванні оптимізованих модифікацій алгоритму PBFT (зокрема ієрархічних, репутаційних та багатолідерних моделей) як найефективнішого стандарту для корпоративних консорціумних мереж. Розглянуто переваги диверсифікації мікроархітектур, зокрема стратегічний перехід від традиційних процесорів x86 до спеціалізованих енергоефективних ARM-рішень, що здатні знизити споживання енергії вузлами на 60%. Окрему увагу приділено подоланню термодинамічних обмежень центрів обробки даних завдяки впровадженню технології двофазного занурювального охолодження (2-PIC), яка дозволяє досягти безпрецедентного показника енергоефективності PUE на рівні 1.02 у прохолодному кліматі. Визначено критичну роль рішень другого рівня (Layer 2, зокрема ZK-Rollups) та горизонтального масштабування через шардинг у радикальному розвантаженні базового обладнання та зниженні сукупного енергоспоживання. Доведено, що інтеграція алгоритмів глибокого навчання з підкріпленням (DRL) для динамічного та автономного розподілу ресурсів дозволяє підвищити пропускну здатність мереж і зменшити споживання обчислювальних потужностей на 30%. Робиться висновок, що комплексне поєднання наведених технологій гарантує оптимізацію сукупної вартості володіння (TCO) та відповідність індустріальних блокчейн-рішень сучасним міжнародним ESG-стандартам екологічної стійкості.
Web3 has gained increasing attention in recent years as a paradigm that aims to establish a new phase of the Internet by enabling a decentralized web infrastructure without reliance on centralized authorities or intermediaries. A fundamental difference between Web3 decentralized applications (dApps) and traditional Web2 applications lies in their underlying architecture and trust model. Web3 dApps rely on blockchain networks and smart contracts to execute application logic and manage shared state. This paper presents a systematic literature review that examines the architectural components, architectural patterns, and development challenges of Web3 decentralized applications. A set of peer-reviewed research articles was analyzed to provide a structured overview of current research and practice. The results identify the core building blocks of Web3 dApps, as well as highlighting the most adopted architectural styles, with a particular emphasis on hybrid on-chain/off-chain and fully decentralized architectures. Furthermore, this study synthesizes the most frequently reported challenges in Web3 dApp development. By systematizing existing knowledge, this work contributes to a clearer understanding of Web3 dApp architectures and provides a foundation for future research and improved engineering practices in decentralized application development.
Abstract The need to be digitally literate becomes not only necessary, but essential especially in higher education. This chapter discusses digital literacy as a hallmark of the contemporary higher education; the chapter also explained the chronological development of Digital Literacy (DL) from traditional literacy, visual literacy, media literacy and information literacy to now modern literacy in higher education (digital literacy) which indicates the innovation and development of literacy in education. Contemporary education, academic technology and technological disruption in education were discussed. Academic technology and digital literacy inclusion strategies in higher education were also discussed. Furthermore, the chapter explained digital literacy as a component of life skill and encouraged the stakeholders in higher education such as universities management, academia and faculty members to train students and tech digital literacy as a core course in general studies in the universities and colleges as part of inclusion strategies. Other higher education technology trends to watch out include Artificial Intelligence (AI), Virtual Reality (VR), Augmented Reality (AR), Digital Twins, the Metaverse (including digital avatars and NFT art for use in the Metaverse and other Web3-based virtual environments), Internet of Things (IoT), Blockchain, Cloud, Gamification, and Chatbots were all explained.
Industrial carbon emissions play a major role in environmental pollution and climate change. Because of this, industries are required to continuously monitor their emissions and ensure they follow environmental regulations. Traditional emission monitoring systems generally rely on centralized databases, which can sometimes lead to problems such as delayed reporting, lack of transparency, and the possibility of data being altered. To overcome these issues, this paper introduces CarbonChain, a decentralized carbon emission monitoring system that combines Internet of Things (IoT) sensing technologies with blockchain verification. Environmental parameters such as gas concentration and particulate matter are collected in real time using sensors connected to microcontroller units. The sensor readings are then transmitted to a backend server where the data is validated and categorized. After validation, the emission records are stored on the blockchain through smart contracts, generating secure transaction hashes that ensure the integrity of the data. A web-based dashboard allows regulators and industry stakeholders to monitor emission levels, check compliance status, and verify blockchain records in real time. By combining IoT-based sensing with blockchain technology, CarbonChain creates a transparent and tamper-resistant monitoring platform that can support environmental auditing and carbon credit verification.
Blockchain technology has evolved from its initial application in cryptocurrencies such as Bitcoin to a versatile decentralized infrastructure supporting decentralized finance (DeFi), digital identity systems, smart contracts, and Web3 ecosystems. Despite its transformative potential, the rapid expansion of blockchain platforms has significantly increased the security attack surface, exposing networks to threats such as double-spending, Sybil attacks, smart contract vulnerabilities, transaction laundering, and large-scale financial fraud. At the same time, the emergence of quantum computing introduces a fundamental challenge to classical cryptographic mechanisms particularly Elliptic Curve Digital Signature Algorithm (ECDSA) and RSA that form the backbone of blockchain authentication and transaction verification. This paper presents a comprehensive study of Machine Learning (ML) techniques and Post-Quantum Cryptographic (PQC) frameworks for strengthening blockchain security and threat detection. The study reviews supervised, unsupervised, and deep learning models used for fraud detection, anomaly identification, smart contract vulnerability analysis, and blockchain transaction monitoring. In parallel, it examines quantum-resistant cryptographic algorithms emerging from the NIST post-quantum standardization process, including lattice-based, hash-based, and code-based schemes, and evaluates their suitability for blockchain environments. Furthermore, the paper analyzes the limitations of ML-based security mechanisms and the practical challenges of integrating PQC into decentralized infrastructures, including scalability, key size overhead, and performance trade-offs. A comparative analysis highlights that ML enhances adaptive behavioral threat detection, while PQC ensures long-term cryptographic resilience against quantum attacks. Therefore, the study emphasizes the importance of a hybrid ML–PQC security model that combines intelligent anomaly detection with quantum-resistant cryptographic protection. Finally, the paper identifies key research challenges and outlines future directions toward building scalable, adaptive, and quantum-secure blockchain ecosystems capable of supporting next-generation decentralized applications.
Ashkan Safari, Amir Aminzadeh Ghavifekr, Amir Rikhtegar Ghiasi
• A private Ethereum-based discrete-event blockchain is developed for P2P energy trading. • Smart contracts using Solidity automate market matching, settlement, and tokenization. • Platform integrates ERC-20 token framework to support secure energy transactions. • Gas fee modeling and minimization are implemented for cost-efficient operations. • Validated on IEEE 14-Bus multi-community system with real dynamic market behavior. Due to the fast growth in renewable energy production, which enables households to sell excess power directly and better manage its intermittent nature, the Peer-to-Peer (P2P) energy market has become considerably more established, as it’s aligned with the decentralization and digitalization of power systems and local markets. It’s a system that lets energy consumers and producers trade energy directly with one another. Furthermore, the presence of blockchain technology increases these techno-economic advantages for energy systems, particularly when integrated with P2P energy trading. Consequently, a wide range of works have considered the integration of P2P and blockchain; however, few of them have investigated the full details of this system, including its performance, Transaction (TX) gas fee in a secure and private platform. Following this, the proposed work presents an Ethereum-based discrete event Private blockchain and its integration with P2P energy trading market in a Multi-Community Energy System (MCES). Considered on an IEEE 14-Bus MCES with 3 communities and 20 participating agents (11 consumers, 5 generators, and 4 not participating in the market), the platform uses Web3 and Ethereum Virtual Machine (EVM) for execution. Smart contracts, written in Solidity, handle tokenization by Ethereum Request for Comment 20 (ERC-20) standards and market matching/settlement discrete event processes. On the secure performance, the proposed platform is based on Keccak-256 for immutability, while TX gas fees are minimized. Results show synchronized peak demands up to 60 (MW), diurnal Renewable Energy Sources (RES) outputs peaking at 40 (MW), alongside the market prices, and agents’ revenues. Finally, the reliability of the platform is evaluated based on two main metrics of Transaction Success Rate (TSR) = 1 (100%) and Transaction Per Second (TPS) = 3.29, with a primary mode centered at 1.8–2.0 TPS, a secondary peak at 4.0–4.2 TPS.
Abstract E-commerce platforms are increasingly targeted by sophisticated cyber-attacks that exploit the inherent vulnerabilities of centralised authentication architectures. Password-based systems, two-factor authentication, and centralised identity stores have demonstrated persistent susceptibility to phishing, credential stuffing, man-in-the-middle interception, and large-scale data breaches. This paper investigates the design, implementation, and evaluation of a blockchain-based authentication system as a structural response to these limitations. The proposed system leverages Ethereum’s public-key cryptographic infrastructure, MetaMask wallet integration, Web3.js, JSON Web Tokens (JWT), React.js, and Node.js to deliver a decentralised, tamper-proof, and privacy-preserving authentication flow for e-commerce applications. A proof-of-concept prototype was built and evaluated against conventional authentication methods across eleven analytical dimensions, including security architecture, data integrity, identity management, scalability, trust models, and regulatory alignment. Results confirm that the blockchain-based approach eliminates credential database attack surfaces, enables non-repudiable transaction signing, supports Zero-Knowledge Proof (ZKP) verification, and implements Self-Sovereign Identity (SSI) principles that return data ownership to users. Scalability under high transaction volumes and user onboarding complexity are identified as the primary adoption barriers, suggesting that hybrid architectures may offer the most pragmatic near-term deployment pathway. The study contributes an empirically grounded, real-world implementation perspective to the growing literature on blockchain security applications, and provides actionable guidance for e-commerce operators, security practitioners, and researchers exploring decentralised identity systems. Keywords Blockchain Authentication, E-Commerce Security, Ethereum, Metamask, Decentralised Identity, Zero-Knowledge Proofs, Self-Sovereign Identity, JWT, Smart Contracts, Credential Stuffing, Public-Key Cryptography.
Alexander Kropiunig, Svetlana Kremer, Bernhard Haslhofer
Crypto Key Opinion Leaders (KOLs) shape Web3 narratives and retail investment behaviour. In volatile, high-risk markets, their credibility becomes a key determinant of their influence on followers. Yet prior research has focused on lifestyle influencers or generic financial commentary, leaving crypto KOLs' understandings of motivation, credibility, and responsibility underexplored. Drawing on interviews with 13 KOLs and self-determination theory (SDT), we examine how psychological needs are negotiated alongside monetisation and community expectations. Whereas prior work treats finfluencer credibility as a set of static credentials, our findings reveal it to be a self-determined, ethically enacted practice. We identify four community-recognised markers of credibility: self-regulation, bounded epistemic competence, accountability, and reflexive self-correction. This reframes credibility as socio-technical performance, extending SDT into high-risk crypto ecosystems. Methodologically, we employ a hybrid human-LLM thematic analysis. The study surfaces implications for designing credibility signals that prioritise transparency over hype.
Materi ini membahas kerangka penilaian kehalalan aset kripto menurut pendekatan Muhammadiyah dengan menekankan pemisahan antara teknologi blockchain sebagai infrastruktur dan aset kripto sebagai objek transaksi. Kripto diposisikan sebagai harta (māl mutaqawwām) sehingga hukum asal pemanfaatannya adalah mubah muqayyad, yaitu boleh tetapi terikat syarat-syarat syariah. Kehalalan transaksi kripto ditopang oleh dua pilar utama, yakni keabsahan objek dan kehalalan mekanisme transaksi. Pada sisi objek, aset dinilai layak apabila memiliki fungsi nyata, seperti penyimpanan nilai, utilitas, tata kelola, atau dukungan terhadap infrastruktur teknologi; sebaliknya, aset yang terkait ekosistem haram, skema penipuan, perjudian, atau token tanpa utilitas yang murni spekulatif dinilai tidak memenuhi syarat. Pada sisi mekanisme, transaksi spot atas aset yang halal pada dasarnya dibolehkan, sedangkan futures, margin, leverage, short selling, pump-and-dump, dan crypto lending berbasis imbal hasil tetap dipandang bermasalah karena mengandung unsur riba, gharar, maysir, atau penjualan atas barang yang tidak dimiliki. Kajian ini juga menunjukkan bahwa beberapa praktik Web3 memerlukan pembedaan hukum yang lebih rinci, seperti liquidity providing, staking pools, native validator staking, dan airdrop, yang statusnya bergantung pada struktur akad, sumber imbalan, serta substansi aktivitas yang difasilitasi. Pada akhirnya, materi ini menegaskan pentingnya literasi, kehati-hatian, dan kepatuhan terhadap hukum negara dalam aktivitas kripto, termasuk pembatasan penggunaan kripto sebagai alat pembayaran. Kata kunci: aset kripto, hukum Islam, Muhammadiyah, Web3, DeFi, staking, transaksi syariah
Web3, the notion of a decentralised internet powered by blockchain technology, has introduced new scams that are masked in legitimacy and perpetrated through social media. Drawing on interviews and social media data, the study reveals that Web3 fraud thrives among African youth due to economic hardship and weak regulatory oversight. It contends that Web3's ethos feeds a population embroiled in the quest for survival, creating an avenue for manipulation in a largely unregulated space. Here, two kinds of fraud thrive: the use of Web3 as a smokescreen by fraudsters and 'community as bailout' coupled with the 'fear of missing out' (FOMO) as an entrapment, thus revealing how 'communities' become exploitative tools within digital economies of trust. It stresses the need for increased Web3 literacy and clearer oversight as essential to addressing fraud, and situates 'Satoshi-Pablo' as a framework for understanding how innovation and exploitation co-exist in Nigeria's digital landscape.
This research presents a decentralized medical data management system integrating a Flask-based backend, an SQLite relational database, and an Ethereum-compatible blockchain to enhance the security, integrity, and transparency of healthcare data. The system adopts a modular architecture using Flask Blueprints to manage authentication, hospital data retrieval, OTP verification, and prescription handling. Smart contracts developed with the Truffle framework ensure immutable and auditable storage of critical medical proofs, particularly prescription records, while Web3 enables secure interaction between the backend and the blockchain. Future improvements include replacing SQLite with cloud-native databases such as PostgreSQL or MongoDB for scalability, implementing advanced encryption with dynamic key rotation, and adopting decentralized identity (DID) for patient-centric access control. Additionally, integrating real-time analytics, AI-based anomaly detection, automated compliance auditing, and Layer-2 blockchain solutions can further enhance system performance, security, and efficiency.
The increasing incidents of forged academic certificates and the inefficiencies of traditional verification systems highlight the urgent need for a secure, transparent, and reliable credential management mechanism. Conventional systems are largely centralised, time-consuming, and prone to manipulation, resulting in high administrative overhead and verification delays. We prepared an AI-Based Decentralized Academic Credential Verification System that leverages blockchain technology, smart contracts, and artificial intelligence to provide a tamper-proof platform for issuing, storing, and validating academic records. Artificial Intelligence is integrated to perform anomaly detection during certificate issuance and AI-based facial authentication for students, enhancing security and preventing fraudulent entries before blockchain storage. Students gain permanent, secure access to their verified credentials, while verifiers, such as employers, can instantly authenticate certificates using blockchain records or QR code scanning, eliminating the need for intermediaries. By integrating Ethereum, Solidity, Web3.js, IPFS, React.js, and AI models, the proposed system delivers a decentralized, scalable, and cost-effective solution that enhances trust, reduces verification time, and effectively combats academic credential fraud.
Technical implementation of NY Senate Bill S.7263 compliance architecture providing cryptographic enforcement of professional licensure requirements in AI chatbot systems. Presents five-layer architecture (Decision Rights Registry, Organizational Trust Graph, Accountability Ledger, Institutional Safety Net, Governance Version Control) with thirty enumerated workarounds including deepfake-based authorization simulation, Web3/DAO evasion, quantum computing threats, side-channel attacks, and legal evolution strategies. Establishes comprehensive prior art for defensive patent protection. Filed February 25, 2026, seven days before S.7263 advanced to Third Reading.
Open access
Ethics and Social Impacts of AI
Artificial Intelligence in Healthcare and Education
This project is not abandoned. It is frozen. Reason for freeze: The work entered an infinite refinement loop. The architecture evolved, but external peer review, validation feedback, or community contribution did not materialize. Continuing alone without structural feedback ceased to be research and became exhaustion. What is SDIA? SDIA — Semantic Domain Integration Architecture — is the governing umbrella of the DEIP ecosystem. It is not a product, not a platform, not a vendor pattern. It is an architectural invariant: business domain semantics govern every layer of the integration stack simultaneously — gateway routing, runtime resolution, orchestration, event channels, and data contracts. The governing principle: 👉 The domain is the primary key. Always. Across every layer. Regardless of technology. What This Document Establishes This document is the comprehensive prior art record for the SDIA ecosystem. It establishes formal protection across: 4 core components — GDCR · DDCR · ODCP · DCEP 1 forward declaration — DCBP (Domain-Centric Data Pattern, discovered March 23, 2026, Warsaw) 50 named architectural variants 90 control-plane and metadata routing variants 11 domain application patterns — Kubernetes · Multi-Cloud · Event-Driven · AI/LLM · Industrial IoT · Service Mesh · Data Mesh · GraphQL Federation · Zero Trust · Semantic Versioning · Blockchain/Web3 Complete mathematical model — f(k) → v — deterministic, O(1), fail-fast, language-agnostic, platform-agnostic Full algorithmic prior art — Phantom v12 reference implementation (JavaScript) + cross-language ports (Lua · Java · C# · Python) The Mathematical Core At its foundation, SDIA routing is defined as: f(k) → v Where k = routing key constructed from semantic domain components, and v = resolved backend endpoint. Properties: Deterministic — same input = same output, always, in any language, any platform O(1) complexity — independent of metadata store size, domain count, or platform Fail-fast — unregistered keys rejected at ~0.1ms, zero backend exposure Total over governed space — only explicitly registered combinations resolve Invariant under infrastructure change — engine never changes, metadata evolves Validated Results ~2,067,904 requests processed 100% routing accuracy · zero routing failures Sub-4ms resolution latency · 99.99% uptime 8 enterprise platforms · 5 programming languages · 13 configurations 42 IoT sensors · 4 environments Platforms: SAP BTP APIM · AWS API Gateway · Azure APIM · Kong Gateway · Kong on Kubernetes · Netflix Zuul · Industrial IoT (Mosquitto + Node-RED) · Kubernetes + Istio Ecosystem Architecture Layer Component Role Gateway GDCR Semantic facade — 1 proxy per domain, not per system Runtime DDCR 7-stage deterministic resolution engine Orchestration ODCP Domain-centric package, iFlow, and credential governance Events DCEP Domain-centric event channel governance Data DCBP Domain-centric data contracts and data product routing Umbrella SDIA Unifying semantic addressing paradigm across all layers What SDIA Protects Any implementation — regardless of vendor, product name, platform, or programming language — that: Uses domain-centric routing as the primary organizational principle Employs metadata-driven resolution satisfying f(k) → v Implements semantic URL patterns: /domain/entity/action/target Enforces domain boundaries as security, governance, or semantic perimeters Decouples consumer addresses from backend implementation details ...constitutes a derivative application of the SDIA prior art established February 6, 2026. Prior Art Chain February 6, 2026 — Wayback Machine (Marco Zero · first public disclosure) February 7, 2026 — Medium (first formal publication) February–March 2026 — Zenodo (5 DOI-published specifications) March 2026 — IP.com Prior Art Database · IPCOM000277630D–000277633D March 2026 — USPTO Trademark Applications · 99680660 (GDCR) · 99691792 (DDCR) Version History Version Status DOI v2.0 ✅ CURRENT zenodo.org/records/18877636 v1.0 ⚠️ Superseded zenodo.org/records/18877636 Links Repository: github.com/rhviana/deip SDIA Extension (this document): https://zenodo.org/records/18877636 DEIP Source of Truth: https://doi.org/10.5281/zenodo.19004802 Citation (v2.0) APA: Viana, R. L. H. (2026). SDIA — Semantic Domain Integration Architecture: Complete Extensions, Variants & Prior Art Documentation — Version 2.0. Zenodo. https://zenodo.org/records/18877636 Author Ricardo Luz Holanda Viana Enterprise Integration Architect | Creator of DEIP Ecosystem | SAP BTP Integration Suite Expert | SAP Press Author Warsaw, Poland · March 2026 · ORCID: 0009-0009-9549-5862 "Technology changes by the quarter. Business processes last for decades. The domain never lies."
Alinsha S, A Althaf, Chris P Reji, Fahad Mohammed A · 6 authors
Electronic voting techniques have gained popularity as a contemporary alternative to traditional paper-based elections because of their effectiveness and accessibility. The current electronic voting methods, however, have significant security flaws, such as multiple voting, identity theft, centralized control, and a lack of transparency. Despite the fact that blockchain technology is decentralized, immutable, and auditable, many blockchainbased voting systems merely employ cryptographic credentials and lack robust voter identification verification processes. The blockchain-based electronic voting system SecureVote, which incorporates multi-factor verification and facial biometric authentication, is proposed in this study. Ethereum smart contracts are used by the system to guarantee transparent result calculation and tamper-proof vote storage. SecureVote employs one-time password (OTP) validation as a secondary authentication method in conjunction with client-side facial recognition and deep learning-based feature extraction. The suggested design makes use of Web3.js and a decentralized application (DApp) concept for safe wallet-based transaction signing and blockchain interaction. High authentication reliability, avoidance of double voting, and effective transaction processing with low gas overhead are all demonstrated by the experimental results. SecureVote combines biometric multifactor authentication with blockchain immutability to enhance the reliability, transparency, and integrity of remote voting.
Open access
2 source records
Internet Traffic Analysis and Secure E-voting
Blockchain Technology Applications and Security
Advanced Steganography and Watermarking Techniques
O presente artigo formaliza o <i>Economic Centrifugal Dispersion Model</i> (ECDM) como uma estrutura analítica de alta fidelidade para a compreensão da propagação de capital e incentivos em ecossistemas de Web3 e finanças descentralizadas (DeFi). Fundamentado em uma convergência interdisciplinar entre a praxeologia da escola austríaca, a física estatística e a dinâmica de sistemas complexos, o modelo propõe que a injeção monetária em sistemas baseados em <i>blockchain</i> gera forças dispersivas análogas às forças centrífugas. A pesquisa detalha a formulação matemática do modelo, integrando equações diferenciais não lineares para descrever o comportamento de variáveis como o influxo de capital, a velocidade de circulação e a resistência institucional. Adicionalmente, o trabalho explora a aplicação da Lei de Benford como ferramenta de auditoria estatística para detecção de anomalias em transações <i>on-chain</i> e propõe o Índice de Fragilidade Tokenômica (FTF) como métrica de risco sistêmico. Através da análise de expoentes de Lyapunov e diagramas de bifurcação, demonstra-se como pequenas flutuações paramétricas em Organizações Autônomas Descentralizadas (DAOs) podem induzir regimes de caos determinístico. O estudo conclui que a sustentabilidade de protocolos descentralizados depende de um equilíbrio crítico entre a dispersão centrífuga e a coesão institucional, oferecendo um arcabouço para o <i>design</i> de sistemas econômicos resilientes.<br>
The article provides a comprehensive study of the systemic transformation of corporate governance in the context of global digitalization, characterized by the transition from hierarchical models to decentralized structures. It is substantiated that blockchain technology emerges as a new institutional foundation, where traditional bureaucratic verification mechanisms are replaced by algorithms based on cryptographic protocols. A particular emphasis is placed on the distinctions between public (permissionless) and private (permissioned) blockchain networks regarding the immutability of records. The study examines the concept of decentralized governance and the functional specifics of Decentralized Autonomous Organizations (DAOs), where operational logic and management regulations are implemented directly into the software code of smart contracts. This minimizes the influence of traditional administrative management and mitigates "single point of failure" risks. The theoretical framework of the work builds upon classical theories, such as Oliver Williamson’s "Transaction Cost Theory," Michael Jensen and William Meckling’s "Principal-Agent Theory," and the scholarly works of Harold Demsetz. Blockchain is analyzed as a tool that renders market exchange more economically viable than hierarchy. The author proposes an original interpretation of a multi-tier blockchain model for enterprise management, encompassing the infrastructure, network, consensus, data, and application layers. The essence of consensus algorithms (PoW, PoS, DPoS) is disclosed through the prism of management. Special attention is devoted to international experience in legal regulation and the processes of implementing these standards within the legislative framework of Ukraine. The economic effect and practical aspects of the study are analyzed through successful case studies of global corporations (IBM, Amazon, Oracle, Walmart, Nestlé) and Ukrainian business initiatives (TASCOMBANK, SETAM, Agroxy, Softengi). These cases demonstrate a significant reduction in verification costs, lower operating expenses, and increased transparency in supply chains. The transition to an innovative "Management-as-a-Service" paradigm is justified, where blockchain serves not merely as software but as a new firm architecture. Conclusions are drawn regarding a shift in the management ontology – moving from "governance by humans" to algorithmic "governance by code," which ensures data immutability, cyber resilience, and the possibility of real-time preventive risk monitoring. References: 1. Kuzmina, T. O., Berezovskyi, Yu., Kalinskyi, Ye., Arliukova, Yu., & Trofymchuk, A. (2024). Innovatsiini elementy informatsiino-komunikatsiinykh tekhnologii u standartyzatsii materialiv ta vyrobiv lehkoi promyslovosti [Innovative elements of information and communication technologies in the standardization of materials and products of light industry]. Visnyk Khersonskoho natsionalnoho tekhnichnoho universytetu – Bulletin of the Kherson National Technical University, (2 (89)), 90–98. DOI: 10.35546/kntu2078-4481.2024.2.13. 2. Hordiienko, K. O., Nishchemenko, D. O., Hertsiuk, M. M., Aronov, A. O., & Havor, A. S. (2025). Masshtabovani detsentralizovani systemy na osnovi rozpodilenykh skhovyshch danykh [Scaled decentralized systems based on distributed data storages]. Naukovi zapysky Derzhavnoho universytetu informatsiino-komunikatsiinykh tekhnolohii – Scientific Notes of the State University of Information and Communication Technologies, (2), 102–108. DOI: 10.31673/2786-8362.2025.029186. 3. Shabir, Korotana (2025). 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Este relatório de pesquisa investiga a aplicação metodológica da analogia da força centrífuga ao campo da ciência econômica, com foco especial na dispersão de capital, renda e agentes em ambientes de alta volatilidade e inovação tecnológica. Através da construção do <i>Economic Centrifugal Dispersion Model</i> (ECDM), o estudo analisa como o influxo de capital () e a velocidade das transações (), ponderados pela resistência regulatória e institucional (), determinam a expansão ou a contração de mercados. A tese central sustenta que os sistemas econômicos contemporâneos, especialmente aqueles fundamentados em tecnologias Web3 e <i>tokenomics</i>, operam em ciclos de centralização-expansão que podem ser modelados matematicamente como sistemas rotacionais físicos. O relatório integra teorias da Nova Geografia Econômica de Paul Krugman, a praxeologia de Ludwig von Mises, o Efeito Cantillon e a Teoria do Caos para explicar a migração de valor do centro para a periferia. Utilizando evidências de teoria da organização, capital humano e dinâmica de redes, conclui-se que o ECDM oferece uma ferramenta preditiva robusta para identificar bolhas especulativas, processos de desintermediação e reequilíbrios de mercado em DAOs e sistemas financeiros descentralizados.<br>
The pests and the ideal irrigation should be monitored simultaneously so that the crops can be efficiently managed to yield the maximum. The intended dual-purpose solution to the pest detection problem, which is proposed in this study, is the combination of IoT-enabled sensors with Ethereum smart contracts and a deep learning-based ResNeSt-DDETR pest detector. The ResNeSt backbone is able to improve the extraction of features with the help of split-attention mechanisms, whereas Deformable DETR pays attention to the areas which are of interest in order to achieve precise detection in the field under complex conditions. IoT sensors constantly check soil moisture, temperature, and humidity to adjust the irrigation patterns to control the water management accurately. The pest detections and irrigation logs are registered safely on the Ethereum blockchain and provide a solution with tamper-proof, transparent, and traceable data. The system is deployed on edge devices and implemented on Python with PyTorch, OpenCV, and Web3.py and works in real time. The experimental assessment of the IP102 data reveals that the model has a high accuracy (95.2%), precision (94.5%), recall (93.7%), F1-score (94.1%), and mAP 0.5:0.95 = 90.6% indicating that it is effective in integrated pest and irrigation management in precision agriculture.
Pest detection and soil moisture estimation models with little computation overhead are needed in resource-efficient pesticide monitoring of agricultural fields. This paper introduces a lightweight MobileViT-based system that is combined with IoT sensors and a hybrid Ethereum blockchain platform to offer secure and real-time pest and soil monitoring. MobileViT is a hybrid architecture that uses convolutional networks and transformer-based global features, which allow competition with detection accuracy and low computing needs. The IoT sensors are used to monitor soil moisture, temperature, and humidity to aid in making irrigation decisions with the key events being safely stored on the Ethereum blockchain to trace the events irrevocably. The system is executed in Python using PyTorch, OpenCV, and Web3.py and runs on edge devices and is fast in inference with low latency. The IP102 dataset includes the evaluation which proves that the model has high detection performance with accuracy 92.8%, precision 91.5%, recall 90.7%, F1-score 91.1%.
The increasingly complex Web3 ecosystem and decentralized finance (DeFi) landscape demand ever higher levels of technical expertise and financial literacy from participants. The Intent-Centric paradigm in DeFi has thus emerged in response, which allows users to focus on their trading intents rather than the underlying execution details. However, existing approaches, including Typed-intent design and LLM-driven solver, trade off expressiveness, trust, privacy, and composability. We present OMNIINTENT, a language-runtime co-design that reconciles these requirements. OMNIINTENT introduces ICL, a domain-specific Intent-Centric Language for precise yet flexible specification of triggers, actions, and runtime constraints; a Trusted Execution Environment (TEE)-based compiler that compiles intents into signed, state-bound transactions inside an enclave; and an execution optimizer that constructs transaction dependency graphs for safe parallel batch submission and a mempool-aware feasibility checker that predicts execution outcomes. Our full-stack prototype processes diverse DeFi scenarios, achieving 89.6% intent coverage, up to 7.3x throughput speedup via parallel execution, and feasibility-prediction accuracy up to 99.2% with low latency.
Arockia Anto Deepak R, Abishai Daniel S, S. Lakshmi Sankar M.
The pharmaceutical industry faces critical challenges related to counterfeit drugs, poor traceability, and lack of transparency in supply chain management. To address these issues, this project proposes MedSupplyChain, a blockchain-based drug tracking and verification system that ensures secure, transparent, and tamper-proof management of pharmaceutical supply chains. The system leverages Ethereum smart contracts to automate key operations such as drug batch registration, transfer of ownership, and recall management with role-based access control for manufacturers, distributors, and regulators. Decentralized storage using IPFS is integrated to securely store certificates, testing reports, and product images, while only their hash values are recorded on the blockchain to maintain efficiency and scalability. The frontend DApp, built with React.js and connected via Web3.js/Ethers.js, provides user specific dashboards for stakeholders and enables real-time verification of drug authenticity. Patients, pharmacists, and regulators can easily track and verify drug batches using batch IDs, ensuring accountability and trust across the supply chain. This approach not only reduces the risks of counterfeit drugs but also improves regulatory compliance, operational transparency, and stakeholder collaboration. By combining blockchain's immutability with decentralized storage, MedSupplyChain establishes a secure, efficient, and trustworthy foundation for modernizing pharmaceutical logistics.