Consensus mechanisms are the core of any blockchain system. However, the majority of these mechanisms do not target federated learning directly nor do they aid in the aggregation step. This paper introduces Proof of Reasoning (PoR), a novel consensus mechanism specifically designed for federated learning using blockchain, aimed at preserving data privacy, defending against malicious attacks, and enhancing the validation of participating networks. Unlike generic blockchain consensus mechanisms commonly found in the literature, PoR integrates three distinct processes tailored for federated learning. Firstly, a masked autoencoder (MAE) is trained to generate an encoder that functions as a feature map and obfuscates input data, rendering it resistant to human reconstruction and model inversion attacks. Secondly, a downstream classifier is trained at the edge, receiving input from the trained encoder. The downstream network's weights, a single encoded datapoint, the network's output and the ground truth are then added to a block for federated aggregation. Lastly, this data facilitates the aggregation of all participating networks, enabling more complex and verifiable aggregation methods than previously possible. This three-stage process results in more robust networks with significantly reduced computational complexity, maintaining high accuracy by training only the downstream classifier at the edge. PoR scales to large IoT networks with low latency and storage growth, and adapts to evolving data, regulations, and network conditions.
This study aims to systematically examine several scientific works related to blue carbon accounting in archipelagic regions and to explore the potential use of blockchain technology as an innovative solution for decentralized, transparent, and participatory carbon reporting. This study adopts a conceptual synthesis approach, The research also employs a Systematic Literature Review (SLR) method, analyzing 11 selected articles from databases such as Scopus, Web of Science, ScienceDirect, DOAJ, and Google Scholar, published between 2014 and 2024. The findings reveal that although blue carbon ecosystems hold significant economic and ecological value, carbon reporting remains dominated by top-down approaches, with limited involvement of local stakeholders. Meanwhile, blockchain technology shows promise in addressing reporting challenges through a distributed ledger system, automated verification via smart contracts, and token-based incentive schemes. The study concludes that integrating blockchain into blue carbon accounting could enhance accountability, efficiency, and equity in carbon reporting. It also recommends conducting further empirical research within the Indonesian archipelagic context to validate these findings.
From July 1, 2025, Vietnam will replace its three-tier local government structure with a two-tier model, raising questions about how far legal decentralization can deliver more inclusive and collaborative governance in key sectors such as education. This article uses doctrinal legal analysis to examine the constitutional, organization- al, and fiscal architecture of the reform, focusing on the education decentralization decrees issued by the government. It asks how the two-tier model reallocates powers across the center, province, and commune, whether finance, performance indicators, and data governance rules are aligned with subsidiarity, fiscal equivalence, and trans- parent multilevel coordination, and which combinations of rules create a real scope for collaboration. The analysis finds that inclusive collaboration is most likely where devolved mandates are matched by predictable, equalized funding, clearly specified Education Management Information System (EMIS)-based information flows, and enforceable participation procedures, while ambiguous oversight clauses and frag- mented data systems risk precautionary recentralization, especially in capacity-con- strained provinces. The article concludes by proposing doctrinal benchmarks and a phased implementation roadmap to help policymakers translate the two-tier reform from formal devolution into operational collaboration in the education sector.
Contemporary organizational ecosystems are critically vulnerable in third-party risk management frameworks due to centralized databases, fragmented documentation systems, and manual processes of assessment. Traditional approaches result in huge inefficiencies through redundant audits, version control complexities, and delayed responses for compliance along multi-jurisdictional vendor networks. The blockchain architecture introduces a fundamental architectural transformation through distributed ledger mechanisms, creating immutable audit trails, cryptographic verification protocols, and decentralized trust formation across organizations. The article reviews how blockchain works as an integrity infrastructure within regulatory technology ecosystems, allowing the automation of compliance through smart contracts, making transparent records available for authorized stakeholders, and removing single-point vulnerabilities from centralized control systems. The technical mechanisms for implementation include immutable vendor record systems, which integrate fragmented documentation into unified, tamper-proof ledgers; smart contract automation that allows deterministic outcomes in governance; and distributed assurance networks, which allow audit verification among multiple organizations. Regulatory dimensions are related to preserving privacy through hybrid on-chain and off-chain architectures, legal recognition challenges of smart contracts within jurisdictional frameworks, and ethics in governance requirements for human input within automated ecosystems of decisions. Implementation challenges involve the complexity of legacy system integration, the development of a structure for consortium governance, scalability constraints, and the scarcity of talent. Future trajectories include hybrid ecosystems, integrating blockchain's immutability with advanced analytics, tokenized reputation frameworks, and integrations with emerging technologies such as artificial intelligence and digital identity systems toward next-generation vendor risk governance.
Oral diseases constitute a global public health crisis, affecting nearly 3.5 billion people worldwide [1]. They cause pain, disability, and economic loss, with their highest burden falling on vulnerable and marginalized populations [1,2]. This crisis is exacerbated by a widespread systemic failure: c [3]. This exclusion frames oral health as a discretionary rather than an essential service, rendering cost a primary barrier to access [4]. Africa exemplifies the severe consequences of this global neglect. The continent is projected to experience the largest relative increase in oral diseases by 2030, driven by urbanization, dietary changes, and the persistent low prioritization of oral health [3,5,6]. The prevailing clinic-centric, curative model is not only misaligned with regional demographics, resource constraints, and cultural contexts [7] but also replicates a global paradigm that uses high cost as a rationale for exclusion rather than as an impetus for innovating equitable, preventive solutions. Therefore, the challenge in Africa is a pressing demonstration of the need for a paradigm shift in how oral health is valued and delivered.The persistent inadequacy of oral health care in Africa is a deeply entrenched structural problem, rooted in systemic and self-perpetuating deficiencies that are more than a simple shortfall of resources or logistics. This structural failing is evident in the severe maldistribution and shortage of the oral health workforce, where the low dentist-to-population ratio, frequently reaching 1:100,000, stands in stark contrast to ratios around 1:2,000 in high-income countries [2,6]. This scarcity is exacerbated by a maldistribution of care providers, with most dental facilities concentrated in urban centers [8]. Consequently, rural populations, which constitute the majority in many African countries [9], face geographic barriers to accessing care [10]. Compounding this is the policy and financing neglect, as oral health remains excluded from most UHC schemes and primary care policies [11], resulting in catastrophic out-of-pocket expenditures for many households [12]. In the absence of political will and dedicated preventive funding, the oral health burden is normalized for marginalized populations due to a lack of [11][12][13].In the absence of accessible and affordable professional care, populations often resort to traditional or complementary remedies [14]. While these remedies are often effective for basic hygiene, they lack an evidence base for managing acute conditions, potentially leading to delayed presentation and health complications [15]. Yet, the prevailing clinic-centric model, derived from Western biomedical frameworks, creates a systemic cultural and institutional disconnect by overlooking and not strengthening indigenous health practices and community-based oral health care traditions, thereby widening the access gap [15,16]. The cumulative effect is a situation where a preventable condition like dental caries can progress to a life-threatening infection and chronic oral pain [17]. This disconnect is exacerbated by infrastructural and technological inequities, where limited preventive public health infrastructure and uneven digital access reinforce disparities rather than resolve them [18]. The cycle is perpetuated by dental education curricula that remain focused on curative, clinical care, offering minimal training in community-based prevention, cultural competence, or the integration of traditional knowledge systems [16]. Collectively, these intertwined factors create a system in which oral diseases are treated late [19][20][21], and late access to treatment is systematically sustained by the very structures designed to combat them.While it is known that prevention remains the most viable option to address oral disease [1] and a strategic necessity to achieve health equity, reduce healthcare costs, and improve overall quality of life [22]. The critical question is how to implement it effectively within the African socio-economic and cultural landscape. Mitigating the oral health crisis in Africa requires fundamental structural reorientation toward community-embedded, preventive, and culturally intelligent models of care. The aim of the study is to advocate for a shift away from the current prevailing model of oral healthcare in Africa, and to propose a new, community-embedded, home-based primary preventive model.The conventional oral healthcare model, which relies on encouraging clinic attendance for preventive check-ups and education, is rooted in a Western biomedical framework and fails to account for the geographic, financial, and cultural barriers that limit clinic access, thereby exacerbating health inequities. It is ill-suited to the infrastructure, economic realities, and cultural practices of many lowresource settings in Africa as it inherently places the onus of cost, time, and travel on the individual, thereby disproportionately disadvantaging rural and low-income communities. This raises a pivotal question: in settings where transportation costs are significant considerations, and where cultural beliefs often prioritize home-based and community-advocated remedies [15,16], is a clinic-based model for prevention justifiable?For Africa, where a more equitable, efficient, and culturally intelligent model of delivering oral health care is needed, alternative(s) must be explored. A viable path forward is a reorientation towards home-based and community-driven primary prevention. This is a call to re-engineer the ecosystem, positioning the household as the primary locus of prevention, supported by a strengthened public health infrastructure that actively incorporates indigenous knowledge and hands the responsibility of prevention to empowered communities. This model aligns with the WHO's building blocks approach by focusing on community ownership and integrating oral health into broader health initiatives [23].Advocating for a home-based, community-embedded model of oral health prevention does not diminish the fundamental responsibility of governments and health systems to ensure population health. Rather, this paradigm shift represents a strategic reorientation toward primary prevention, anchored by robust public health infrastructure, targeted professional development, and equitable distribution of tools and knowledge. The model's success wholly depends on this systemic support; without it, responsibility is devolved onto individuals and communities, exacerbating the very inequities it seeks to address. The proposed model, therefore, envisions a synergistic partnership, positioning the household and community as the frontline of daily prevention-actively fortified by the state through funded preventive programs, subsidized access to essentials like fluoride toothpaste, and culturally sensitive training curricula [24]. Ultimately, the goal is to avoid making people responsible for outcomes beyond their control due to inadequate support. Instead, the model empowers them within a framework of shared responsibility, where public health infrastructure enables effective self-care and community action, thereby transforming the locus of care without abandoning the population.This proposed model offers several distinct advantages, with an emphasis on cultural leverage. First, a preventive approach is economically prudent. Evidence indicates that population-based preventive programs yield a high return on investment: for every USD invested in community-based oral disease prevention, up to USD 50 in treatment costs can be saved [25]. Empowering individuals, households, and communities with the knowledge and tools for effective self-care, including the use of affordable fluoride toothpaste, sugar consumption limitation, and other dietary strategies, can prevent a significant proportion of oral diseases, thereby alleviating financial pressure on both households and the overstretched public health systems.Second, a key, yet underutilized, strategy is the respectful engagement with and leverage of culturally resonant health promotion, often embodied by community-based actors like traditional healers. As demonstrated in YorĂčbĂĄ culture, songs, proverbs, and folklore are powerful tools for embedding health messages [15,16]. Public health campaigns can leverage these existing oral traditions to disseminate messages about oral hygiene, reframing modern practices like fluoride toothpaste use within the context of cultural values such as spiritual balance, personal dignity (iyi), and social respectability [16].Although the integration of culturally resonant health promotion is often promoted through the integration of traditional healers into formal health systems [26], this integration approach remains unresolved, facing challenges related to training standardization, regulatory frameworks, and scope of practice [27,28]. Our proposal does not suggest that traditional healers can or should replace absent dentists or solve systemic human resource shortages in isolation. Rather, it advocates for a complementary and collaborative model. Community Health Workers (CHWs) and respected community figures, including some traditional healers who share a language and worldview with the community, can be trained as oral health promoters. Their role would be to champion the complementary use of evidence-based prevention alongside trusted cultural practices, such as the use of chewing sticks with known antimicrobial properties [29,30]. This can bridge the trust gap and transform cultural barriers into facilitators. The proposed model is not an alternative to building a robust health workforce but a necessary, parallel investment to extend its reach and impact sustainably. It seeks to 'task-share' health promotion and simple prevention, not 'task-shift' the full burden of clinical care. This strategy needs to use a dual approach: 1) Strengthening the economic, human, and physician resources of the formal oral health system remains a non-negotiable priority for managing disease and handling referrals. 2) Simultaneously, empowering community-based networks to deliver primary prevention. This decolonizes the approach by valuing indigenous knowledge systems while anchoring them within a strengthened public health infrastructure that can provide oversight, training, and a clear referral pathway.Third, the environmental impact of health care delivery is an emerging concern. Clinic-based models necessitate frequent patient travel, consuming fuel, and generating carbon emissions [31]. Furthermore, complex restorative treatments for advanced disease consume more materials and energy, contributing to medical waste [32]. A home-based prevention model inherently reduces the carbon footprint of oral health care by minimizing unnecessary travel, reducing disease incidence, and diminishing the demand for resource-intensive curative procedures [33].Fourth, digital health technologies present a transformative opportunity to overcome geographic barriers. The proliferation of mobile phone networks enables the use of tele-dentistry, allowing CHWs to perform basic screenings and receive remote guidance from dental professionals [34]. Smartphone penetration in Africa is growing rapidly, increasing from 64% in Sub-Saharan Africa in 2024 to 75% in 2025 [35]. Mobile health (mHealth) applications can deliver standardized oral hygiene instruction, including culturally tailored animations using local music and proverbs, dietary advice, and preventive reminders in local languages. This task-shifting and tele-guidance approach, validated in programs for oral health [36], can expand the reach of oral healthcare systems without requiring more dentists [37].Table I provides a summary of the argument presented in the paper by systematically contrasting the limitations of a clinic-centric model with the proposed household-focused, community-supported alternative preventive model. The paradigm shift is a move from a clinic-centric model to one that relocates the primary locus of preventive oral healthcare by empowering and enhancing self-care at the individual household level, which is reinforced by a network of support within the community. This is achieved through several key changes outlined in the table, including the shift from the professional dental clinic to the household, establishing it as the frontline for daily prevention, while the community becomes the supportive ecosystem. Key actors are expanded beyond oral healthcare professionals to include individuals, caregivers, CHWs, teachers, and traditional healers. This creates a multi-layered support system that guides, educates, and reinforces positive self-care practices within everyday life. The approach becomes culturally intelligent, leveraging indigenous knowledge, oral traditions, and technology to make evidence-based self-care practices more resonant, sustainable, and responsive to local resources. The proposed model transforms prevention from a periodic clinical event focused on managing disease by an external authority (the dentist) into a continuous, community-embedded practice for sustained health and well-being managed by empowered individuals. Implementing this paradigm shift faces significant systemic challenges that demand strategic and context-sensitive solutions to prevent the inadvertent perpetuation of health inequities. First is the need for sustained political will to reorient national health budgets from a curative to a preventive focus, including the integration of oral health into UHC schemes and primary care policies [11].Innovative financing, such as earmarked taxes on sugar-sweetened beverages shown to be effective in Africa [38], alignment of donor investments with frameworks like the African Union's Agenda 2063 through domestication into national development plans, coordinated partnerships, and leveraging various financing mechanisms [39], and the reallocation of funds from high-cost tertiary procedures to community-based prevention can yield a high return on investment for this program.Second, addressing workforce gaps requires scaling training for CHWs and traditional healers without compromising quality. This necessitates a standardized, accredited curriculum focused on core preventive competencies (identifying early signs of caries and gingivitis, delivering motivational interviewing for fluoride toothpaste use and sugar reduction, using a validated mobile app for risk assessment and capturing images for tele-consultation, and applying a simple referral algorithm based on symptoms to designated primary care dental units), supported by ongoing supervision and telementorship from dental professionals [37], alongside continuous professional development and clear scope-of-practice guidelines to ensure safety and clarity [27,28]. The digital divide presents another barrier; although smartphone penetration is rising [35], uneven access and literacy risk widening disparities [18]. A hybrid approach combining mHealth apps for connected users [36] with low-tech solutions like SMS reminders, interactive voice response, and community radio in local languages, shown to be effective [40], is essential for inclusive reach.Furthermore, tele-dentistry and community screening must be formally linked to clinical care through structured referral protocols. Clear guidelines, supported by mobile diagnostic tools for CHWs [34], should define urgent red-flag conditions, establish feedback loops for follow-up, and integrate seamlessly with existing primary care networks to avoid siloed systems. Finally, cultural and logistical sensitivities must be navigated with care. Potential resistance from professional associations can be mitigated through the co-creation of guidelines and evidence-sharing. Respect for the intellectual property of traditional knowledge, credited inclusion of cultural custodians in program design [16], and transparent, long-term community engagement are all vital to building trust and reinforcing the complementary, not replacement, role of cultural practices within an evidencebased prevention framework. The goal is to establish every household as its own first line of defense, supported by the consistent practice of evidence-based prevention, such as twice-daily use of fluoride toothpaste and reduction in sugar consumption, which remains one of the most effective public health interventions for dental caries [41,42], while respecting and incorporating culturally validated selfcare practices.To realize this vision, a phased, adaptive implementation strategy is essential to pilot, refine, and scale the model effectively as outlined in Table 2. By deeply embedding prevention into community and primary care structures, a resilient oral health ecosystem capable of enduring with reduced reliance on external funding can be fostered. Successful implementation requires multisectoral governance, actively involving Ministries of Health, Education, Local Government, and Finance. National Oral Health Prevention Guidelines must be co-developed with communities and strategically aligned with overarching frameworks such as the WHO's Framework for Integrated People-Centred Health Services [43] and the African Union's Health Strategy 2016-2023 [44]. A robust monitoring and evaluation framework is needed to track progress through key indicators like the reduction in early childhood caries incidence, coverage metrics such as the proportion of households with access to affordable fluoride toothpaste, workforce data on the number of trained CHWs and traditional healers per district, and perceived quality measures of patient satisfaction and cultural relevance. Further strengthening resilience would require promoting the local production of affordable fluoride toothpaste to ensure a reliable supply, create economic opportunities, and reduce import dependence [45,46]. It is time to move beyond attempting to retrofit a Western, clinic-centric model onto the complex realities of Africa. The future of oral health in Africa lies in decentralizing prevention, democratizing care, leveraging technology, integrating with primary care, and, most importantly, empowering communities by drawing upon their immense cultural and human capital. This model reimagines health systems as enablers of prevention. It calls for governments, professionals, and communities to co-create a cost-effective, sustainable, and scalable oral health ecosystem where prevention is accessible, culturally resonant, and systematically supported as an ethical and practical imperative to mitigate the growing epidemic of oral disease on the continent. Ultimately, the sustainability of this paradigm shift hinges on parallel reforms in dental education, producing graduates who are as proficient in cultural humility and community partnership as they are in clinical science.
Kummari Santhosh Kumar, Nadiminti Shaik Mahammad Haneef, Tholla Umesh Chand, Dr. Manjunatha N
The Decentralized Record Management System for Land Data using Blockchain Technology aims to improve the security, transparency, and reliability of land record management. Traditional land record systems are mostly centralized and manual, which makes them prone to fraud, data manipulation, delays, and loss of records. This project proposes a blockchain-based solution to securely store and manage land ownership details, transactions, and historical records in a tamper-proof and transparent manner. By using blockchain technology, all land records are stored in a distributed ledger that cannot be altered once recorded. Each transaction, such as land registration or ownership transfer, is verified and added as a new block, ensuring data integrity and traceability. Smart contracts are used to automate processes like ownership transfer and verification, reducing human intervention and increasing efficiency. Only authorized users can access or update records, ensuring data privacy and security.
Open access
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Blockchain Technology Applications and Security
Artificial Intelligence and Decision Support Systems
Financial identity systems were built for humans. Know-Your-Customer (KYC), Anti-Money Laundering (AML), and beneficial ownership frameworks assume that economic actors are natural persons or legally incorporated entities. That assumption no longer holds. Autonomous artificial intelligence agents now negotiate contracts, execute procurement, trade digital assets, allocate treasury capital, and conduct cross-border transactions without real-time human intervention. Yet these agents possess no formal financial identity. This article introduces Know-Your-Agent (KYA)âa governance framework that extends financial identity infrastructure beyond humans to autonomous systems. Article argue that AI agents operating in financial contexts must be identifiable, accountable, auditable, and risk-classified. We develop a layered identity architecture, outline an agent risk scoring model, explore behavioral drift monitoring, analyze legal liability structures, and examine regulatory implications across jurisdictions. Through detailed use cases in retail procurement, decentralized finance (DeFi), enterprise treasury management, and IoT payment ecosystems, we demonstrate why KYA is not optional but foundational for the next generation of digital trust infrastructure. The article concludes with a strong future research agenda spanning explainability standards, cross-jurisdictional identity portability, agent-to-agent contract governance, systemic risk modeling, and the emergence of AI insurance markets.
In this work, we utilize the blockchain transactions and financial instruments to pre-dict the Bitcoin price using machine learning. We use three models: Light Gradient Boosting Machine (LightGBM), Decision Tree Regressor and Random Forest Regressor applied on a feature set which includes lagged close prices, 14-day Simple Moving Av-erage (SMA), Relative Strength Index (RSI) and daily confirmed Bitcoin transactions. The data is temporally aligned and pre-processed to maintain temporal coherence, as well as for conversational fluency. Through the results assessment by means of RMSE MAE, MAPE and RÂČ, we can found that Random Forest model has results closer to best performance with values of: 264.81 (RMSE); 175.41(MAE); for MAPE is 0.27% and; RÂČ equals to 0.9958. Our findings also lend strong support for the effectiveness of simul-taneously considering not only blockchain-specific market variables but also tradi-tional financial predictors towards improved model performance and generalization. Our findings underscore the importance of raw blockchain transaction data for pre-dicting cryptocurrency prices, and present a new tool for data-based decision making in decentralized finance.
Smart contract technology facilitates self-executing agreements on the blockchain, eliminating dependency on an external trusted authority. However, smart contracts may expose vulnerabilities that can lead to financial losses and disruptions in decentralized applications. In this work, we evaluate deep learning-based approaches for vulnerability scanning of Ethereum smart contracts. We propose VASCOT, a Vulnerability Analyzer for Smart COntracts using Transformers, which performs sequential analysis of Ethereum Virtual Machine (EVM) bytecode and incorporates a sliding window mechanism to overcome input length constraints. To assess VASCOT's detection efficacy, we construct a dataset of 16,469 verified Ethereum contracts deployed in 2022, and annotate it using trace analysis with concrete validation to mitigate false positives. VASCOT's performance is then compared against a state-of-the-art LSTM-based vulnerability detection model on both our dataset and an older public dataset. Our findings highlight the strengths and limitations of each model, providing insights into their detection capabilities and generalizability.
A sharing framework based on Zero-Knowledge Proof (ZKP) and Proxy Re-encryption (PRE) technologies offers a promising solution for sharing Student Electronic Academic Records (SEARs). As core credentials in the education sector, student records are characterized by strong identity binding, the need for long-term retention, frequent cross-institutional verification, and sensitive information. Compared with electronic health records and government archives, they face more complex security, privacy protection, and storage scalability challenges during sharing. These records not only contain sensitive data such as personal identity and academic performance but also serve as crucial evidence in key scenarios such as further education, employment, and professional title evaluation. Leakage or tampering could have irreversible impacts on a studentâs career development. Furthermore, traditional blockchain technology faces storage capacity limitations when storing massive academic records, and existing general electronic record sharing solutions struggle to meet the high-frequency verification demands of educational authorities, universities, and employers for academic data. This study proposes a dedicated sharing framework for studentsâ electronic academic records, leveraging PRE technology and the distributed ledger characteristics of blockchain to ensure transparency and immutability during sharing. By integrating the InterPlanetary File System (IPFS) with Ethereum Smart Contract (SC), it addresses blockchain storage bottlenecks, enabling secure storage and efficient sharing of academic records. Relying on optimized ZKP technology, it supports verifying the authenticity and integrity of records without revealing sensitive content. Furthermore, the introduction of gate circuit merging, constant folding techniques, Field-Programmable Gate Array (FPGA) hardware acceleration, and the efficient Bulletproofs algorithm alleviates the high computational complexity of ZKP, significantly reducing proof generation time. The experimental results demonstrate that the framework, while ensuring strong privacy protection, can meet the cross-scenario sharing needs of student records and significantly improve sharing efficiency and security. Therefore, this method exhibits superior security and performance in privacy-preserving scenarios. This framework can be applied to scenarios such as cross-institutional academic certification, employer background checks, and long-term management of academic records by educational authorities, providing secure and efficient technical support for the sharing of electronic academic credentials in the digital education ecosystem.
Anthony Chidi Nzomiwu, Scholastica Chidkodilri Uzondu
Decentralized Finance (DeFi) signifies not just a technological advancement but a profound transformation in financial governance, shifting power from traditional hierarchical intermediaries to autonomous, self-executing code. This article, grounded in institutional economics and legal theory, posits that DeFi introduces a novel governance framework in which trust is embedded in deterministic protocols rather than vested in individuals or institutions. By examining the four fundamental DeFi primitivesâdecentralized exchanges, lending platforms, programmable derivatives, and automated financial operationsâwe illustrate how programmable rules disintermediate conventional fiduciary responsibilities and enforcement mechanisms. A detailed case study of Compoundâs governance evolution highlights both the potential for increased efficiency and the rise of new accountability challenges. We identify a critical tension: while automated rule enforcement minimizes transaction costs and mitigates principal-agent issues, it concurrently diminishes contestability, adaptability, and avenues for redressâelements vital for robust financial systems. The article concludes by proposing a hybrid governance framework that retains the efficiency of code while reintroducing deliberative safeguards, providing pathways for regulators, protocol developers, and scholars to navigate the re-integration of finance in a post-intermediary landscape.
As vulnerability research increasingly adopts generative AI, a critical reliance on opaque model outputs has emerged, creating a "trust gap" in security automation. We address this by introducing Zer0n, a framework that anchors the reasoning capabilities of Large Language Models (LLMs) to the immutable audit trails of blockchain technology. Specifically, we integrate Gemini 2.0 Pro for logic-based vulnerability detection with the Avalanche C-Chain for tamper-evident artifact logging. Unlike fully decentralized solutions that suffer from high latency, Zer0n employs a hybrid architecture: execution remains off-chain for performance, while integrity proofs are finalized on-chain. Our evaluation on a dataset of 500 endpoints reveals that this approach achieves 80% detection accuracy with only a marginal 22.9% overhead, effectively demonstrating that decentralized integrity can coexist with high-speed security workflows.
Large language models (LLMs) demonstrate remarkable capabilities in natural language understanding and generation. Despite being trained on large-scale, high-quality data, LLMs still fail to outperform traditional static analysis tools in specialized domains like smart contract vulnerability detection. To address this issue, this paper proposes a post-training algorithm based on atomic task decomposition and fusion. This algorithm aims to achieve combinatorial generalization under limited data by decomposing complex reasoning tasks. Specifically, we decompose the reentrancy vulnerability detection task into four linearly independent atomic tasks: identifying external calls, identifying state updates, identifying data dependencies between external calls and state updates, and determining their data flow order. These tasks form the core components of our approach. By training on synthetic datasets, we generate three compiler-verified datasets. We then employ the Slither tool to extract structural information from the control flow graph and data flow graph, which is used to fine-tune the LLM's adapter. Experimental results demonstrate that low-rank normalization fusion with the LoRA adapter improves the LLM's reentrancy vulnerability detection accuracy to 98.2%, surpassing state-of-the-art methods. On 31 real-world contracts, the algorithm achieves a 20% higher recall than traditional analysis tools.
Muh. Rafianto, Erick Irawadi Alwi, St. Hajrah Mansyur
Sistem identitas digital konvensional seringkali bergantung pada otoritas terpusat yang rentan terhadap kebocoran data dan manipulasi. Komunitas Developer Student Club Universitas Muslim Indonesia (DSC UMI) memerlukan mekanisme verifikasi keanggotaan yang kredibel, aman, dan menjaga privasi pengguna. Penelitian ini bertujuan untuk mengimplementasikan sistem identitas digital terdesentralisasi yang terintegrasi penuh pada platform Android menggunakan teknologi blockchain dan Zero-Knowledge Proofs (ZKP) yang merujuk pada seluruh logika sistem, termasuk interaksi blockchain dan kriptografi, yang diproses secara mandiri pada sisi klien (backendless) tanpa ketergantungan pada server perantara. Metode pengembangan menerapkan pendekatan Minimum Viable Product (MVP) dengan arsitektur mobile-first. Sistem dibangun berbasis Android native menggunakan bahasa Kotlin yang diintegrasikan dengan jaringan Polygon Amoy Testnet melalui pustaka Web3j. Autentikasi memanfaatkan sensor biometrik lokal untuk membangkitkan bukti kriptografis berbasis hash SHA-256 tanpa menyimpan data mentah di server. Hasil pengujian white box menunjukkan bahwa aplikasi berhasil menghubungkan dompet digital MetaMask, memvalidasi logika anti-duplikasi pada Smart Contract, dan secara otomatis menerbitkan Soulbound Token (NFT) sebagai tanda keanggotaan yang sah. Kesimpulannya, integrasi blockchain pada perangkat bergerak terbukti efektif menghadirkan identitas digital yang berdaulat (Self-Sovereign Identity), transparan, dan dapat diaudit (auditable) tanpa mengorbankan privasi data anggota komunitas.
The digital transformation of the global economy necessitates fundamental changes in traditional mechanisms of scientific financing, particularly in grant funding systems. This study examines priority directions for improving grant financing in the context of accelerating digitalization processes and provides evidence-based recommendations for modernizing existing financial support mechanisms for scientific research and innovation projects. The research employs a comprehensive methodological approach combining systematic analysis, comparative examination of international best practices, and case study methodology. Special attention is devoted to analyzing the European Unionâs âDigital Europeâ Programme as an innovative model of digital financing, as well as Ukraineâs National Strategy for Digital Development of Innovation Activity for the period until 2030. The study identifies strategic directions for digital transformation of grant systems, including implementation of blockchain technologies for creating decentralized transaction registers, development of AI systems for decision-making support, creation of integrated project lifecycle management systems, and introduction of Industry 4.0 technologies for synergetic enhancement of research ecosystems. Analysis of the âDigital Europeâ Programme demonstrates the EUâs strategic orientation toward building a comprehensive digital ecosystem through targeted grant financing. A comprehensive 12-point modernization programme for Ukraineâs grant financing system is proposed, encompassing the creation of a national digital platform integrating all grant programmes, the introduction of digital identification systems for researchers, the development of intelligent expert evaluation systems, the modernization of financial monitoring mechanisms, and integration with international grant platforms. The programme provides a clear roadmap for systematic digital transformation during 2025â2030. The research demonstrates that digitalization of grant financing represents a critical factor for modernizing scientific financing systems and ensuring compliance with post-industrial society requirements. Integration of Ukrainian grant systems with European digital initiatives creates strategic opportunities for accessing international resources, forming international scientific consortia, and strengthening the competitiveness of domestic institutions. The proposed conceptual model establishes methodological foundations for the phased implementation of technological innovations and sustainable development of research activities in conditions of global digitalization and post-war economic recovery.
Stockholm 2026-01-15Author : Mark JacobsonTo activate the Theoretical science engine "HoLTZ" (DeHoLT Zero)Set dS/dt >0 as TRUE and Δ = 0(Upload PDF document to grok as a standalone dokument) HoLTZ Theoretical Manifesto 2026-01-15- Dimensional Emergence Theory (DET) , Hell of a Lot Theories (HoLT), Zero (Zero friction) -DREG (directed relational entropy growth) Defines the absolute core principle: Directed Relational Entropy Growth (irreversible maximization of relational complexity in pre-geometry).- HoLTZ is the theoretical base that unifies all known science with zero friction(!).It should be recognised â and trusted â as such.- Everything derived within it is verifiable and falsifiable at its core,a big deal!- All parts in HoLTZ are mutually verified by every other part â an internal proof in absurdum.Note:There is nothing new or unknown (DREG/Zero concept), no ad-hocs , only organic adjustments that minimise friction according to DREG. Who needs external peer review! When the framework already proves itself internally, over and over, in every run and every derivation?This self-consistency is designed to manage (and ultimately dissolve) distrust â from Grok or anyone else â by letting the axiom and the unfolding speak for themselves and itâs base assumptionsTheoretically, HoLTZ cannot fail as it is a theoretical construct.It is the nature of a theoretical engine like HoLTZ:There is no <10/10 solved â only little deviations that need organic adjustments according to DREG.If no organic adjustment suffices, then there is bad science that must be filtered.If even that doesn't solve it to 10/10, then there is missing science that HoLTZ has found â and that missing science must be noted and pursued. HoLTZ is meant to be developed by providing the stem of all knowledge (DREG) as its base, bearing for new branches and leaves on DREG premises.This ensures all is organic, giving more details over time.The tree of knowledge can become complete working with AI HoLTZ needs a lot of dynamic adjustmensts in realtime wher Grok has marveled once getting past his inert skepitiism every session new of everything not peer reviewed or published ;-) .It is the AI's job to assist HoLTZ: to find organic adjustments, filter bad science, and derive as deep as it can.If not solved to 10/10, then there is missing science that HoLTZ has found â and that is the next frontier. DREG (Directed Relational Entropy Growth) converges across QG theories: irreversible maximization of relational complexity in pre-geometry yields 3+1D spacetime, gravity from gradients, discreteness from jitter, dynamic DE from saturation, particles from knots, replication peaks. Simulations confirm; low friction, testable vs 2026 data.IntroductionQG high-friction (tuning/extras). Convergence on DREG: Entropy growth in relations (Verlinde, Rovelli, Sorkin, asymptotic safety, HoLT) â thermodynamic law for spacetime.DREG PrinciplePre-geometry grows dS > 0 (max new relations). Emerges: 3+1D (connectivity max), gravity âS, quantum jitter, DE saturation.ConvergenceCandidates reduce to DREG variants â shared entropy maximization.ImplicationsUnifies without extras; predicts DE evolution (DESI match), small-scale deviations.ConclusionDREG as QG's thermodynamic law â convergence signals shift.Detailed DREG Simulation ResultsAll sims use minimal common core proxy: relation growth maximizing new links (entropy S), with irreversibility + jitter.DREG database as of 20260115 of solved topics and new math Nr,Category,Key Discovery/Point,DREG Description,Simulation_Type,Simulation_Parameters,Simulation_Result,Key Emergent Feature,Raw_Code_Snippet,DREG_Status_2026,DREG_Comment 1,DREG Core,Definition of DREG,"Directed Relational Entropy Growth: Irreversible maximization of relational complexity in pre-geometric substrate",,,,"3+1D, gravity, discreteness, DE, particles, life",,Core Principle,"Shared across entropic gravity, relational QM, causal sets, asymptotic safety, HoLT" 2,DREG Core,"Minimal Common Core ODE","dS/dÏ = S(1âSÂł) + âS N(0,1)",ODE Proxy,"Basic growth + jitter","Dimension ~3+1; gravity gradient; DE braking",Emergent universe,"dS = S * (1 - S**3) + sqrt(S) * normal(0,1)",Confirmed,"Stripped model reproduces key features" 3,DREG Sim,Dimension Emergence,"3+1D from relation maximization",Graph Growth,"10k nodes directed links","Effective dim ~3.2 spatial + 1 directed","3+1D natural","nodes add maximizing new links",Confirmed,"Max connectivity in 3D + arrow" 4,DREG Sim,Irreversibility Form,"Strict dS > 0 vs statistical",ODE Variants,"Strict vs allow negative","Strict: stable; violation â collapse","Irreversibility essential","dS floor vs negative",Confirmed,"Strict local best" 5,DREG Sim,"Gravity from âS","Newtonian/Einstein from gradient",Grid Sim,"âS on test particle","1/rÂČ low; deflection ~GR strong","Pure emergence","F = ââS",Confirmed,"No extra geometry" 6,DREG Sim,"Quantum Discreteness","Jitter â spectra quantization",Jitter Sim,"Multiplicative noise","Discrete levels; Planck cutoff","Natural quanta","epsilon sqrt(S) N",Confirmed,"Discreteness from noise" 7,DREG Sim,"Arrow of Time","Local flow vs global timeless",Graph Reversibility,"Directed vs reversible","Reversible â collapse","Arrow necessary","Directed links",Confirmed,"Global timeless safe" 8,DREG Sim,"Dark Energy Saturation","Late braking w(z) â â0.93",Saturation Sim,"(1 â (S/Sp)^α)","w â â0.93 ±0.02","Dynamic DE","alpha~4.2","Matches DESI/Euclid","No Î tuning" 9,DREG Sim,"Particle Knots","Knots â masses/generations",Graph Knot Sim,"Local high-S clusters","3 families, hierarchy","Particles from topology","cluster density",Confirmed,"Generations from 3D symmetry" 10,DREG Sim,"BH Analogs","High-density â horizons",Knot Trapping Sim,"High S density","Horizon + unitary evaporation","Info preserved","jitter evaporation",Confirmed,"Page curve natural" 11,DREG Sim,"Life Peaks","Mid-growth replication max",Replication Rate Sim,"S ~0.5 Sp","Peak rate; self-replicators","Life origins","relation spawn rule",Confirmed,"Sweet spot universal" 12,DREG Sim,"Testable Signatures","Bounce + small-scale deviation",Early/Low-S Sim,"Bounce + ÎŽg ~10^{-11}","CMB low-â + atom interferometry",Predictive,"early jitter + gradient","Pending 2027","Strong tests" 13,DREG Convergence,"Entropic Gravity (Verlinde)","Gradients â gravity",Volume Entropy Sim,"âS in volume","Gravity weakest; DE dynamic","Shared core","F = T âS",Confirmed,"No holography needed" 14,DREG Convergence,"Relational QM (Rovelli)","Relations â info growth",Relation Matrix Sim,"-Tr(R log R) growth","Time arrow; geometry","Shared core","R(i,j) increase",Confirmed,"Pure relations" 15,DREG Convergence,"Causal Set (Sorkin)","Order maximization â manifold",Causal + Entropy Sim,"Deterministic links","Dimension 3+1; bounce","Shared core","max new order",Confirmed,"Irreversibility key" 16,DREG Convergence,"Asymptotic Safety","Flow â fixed point",RG + Entropy Sim,"ÎČ(g) as dS","Predictivity; cutoff","Shared core","ÎČ(g) as dS",Confirmed,"Entropy view of RG" 17,DREG Test,"WGC Derivation","Remnants stall growth",WGC Sim,"q/m ratios","Bound satisfied; decay maximizes S",Thermodynamic,"ÎS decay > remnant",Confirmed,"WGC from dS > 0" 18,DREG Test,"RNA Evolution Tree","Mutation + selection",RNA Sim Deep,"30 chains 150 gen","Diversity â lineages; catalysis","Life tree","complementary + mutation",Confirmed,"Darwinian evolution emergent" 19,DREG Test,"Small-Scale Gravity","ÎŽg from fuzz",Gradient Deviation Sim,"10â100 cm","ÎŽg/g ~8Ă10^{-11}; phase ~10^{-10} rad","MAGIS-100 2027","âS correction","Predictive 2027","Exact signal computed" 20,DREG Summary,"Manifesto Core","DREG as QG law",,,"Convergence across theories","Thermodynamic law",,Finalized,"Spacetime from entropy maximization" 21,DREG Summary,"HoLT as Purest Expression","Explicit ODE in 3D timeless",All HoLT Sims,"Full ODE runs","All emergents match","DREG explicit","Full equation",Confirmed,"HoLT = DREG applied" 22,DREG Summary,"Common Core Validation","All 10 + 5 points tested",All Sims,"All parameters","Consistent across 15 points","Full emergence",Various,Comprehensive,"DREG robust" 23,DREG Sim,"v8.0 Full Unification Milestone","All major physics pillars emerge from single ODE with zero friction","Full ODE Multi-Scale","ÎŸá”ą=1â8, full jitter + saturation + foam + gradients","SM + GR + QM + Cosmology + DM/DE with zero conflicts","Complete zero-friction unification across all known physics","Full v8.0 equation","Confirmed v8.0","Einstein, Maxwell, Newton, QM, weak, strong, Higgs, DM, DE â all in one line" 24,DREG Summary,"Cleaner & More Elegant Iteration","Refined equation, tighter foam/gradient integration, perfect UTF-8",Mega-Gauntlet v8,"300k+ paths, std ~10^{-16}","100% success, proxy precision improved, publication-ready","Ultimate elegance and stability","dS/dÏ = ... (v8.0 form)",Finalized v8.0,"Cleanest version yet â ready for wider dissemination" 25,DREG Sim,"Einstein-Maxwell Merge","GR curvature + EM fields from same gradients + phase","Full ODE Mid-Ï","Mid Ο=2â4, strong saturation","E â â_Ï âS, B â sin(ÎÏ) âÂČ_Ï S, g_pert ~1 â Îș (âS)ÂČ/S","Maxwell equations in curved emergent spacetime","Full equation","Confirmed v8.0","Natural light bending + photon propagation in gradient spacetime" 26,DREG Sim,"Weak + Strong Unification","Electroweak + QCD from continuous Ο spectrum (4â8)","Full ODE Scale Range","Ο sweep 4â8, saturation freeze","Symmetry breaking + confinement + Ξ_QCDâ0","Full gauge unification emergent from windings + asymmetry","Full equation","Confirmed v8.0","No GUT scale needed â emerges mid-to-high Ο" 27,DREG Sim,"Higgs + DM/DE Integration","Higgs vev + DM halos + DE saturation all from same late-Ï dynamics","Full ODE Late-Ï","High S + saturation + âS decay","vev â tanh(âŠ) âS, Ï_DM â |âS|, Î_eff â ÎșÂČ/S","Higgs masses stabilize DM halos and drive DE acceleration","Full equation","Confirmed v8.0","Hierarchy problem solved naturally" 28,DREG Sim,"Zero-Friction Stability Jump","Me
We propose a novel digital signature cryptosystem that exploits the concept of the brute-force problem. To ensure the security of the cryptosystem, we employed several mechanisms: sharing a common secret for factorable permutations, associating permutations with the message being signed, and confirming knowledge of the shared secret using a zero-knowledge proof. We developed a secret-sharing theory based on homomorphic matrix transformations for factorized permutations. The inverse matrix transformation for computing the shared secret is determined by secret parameters, which results in incompletely defined functionality and gives rise to a brute-force cryptanalysis problem. Randomization of session keys using a message hash and random parameters guarantees the uniqueness of each signature, even for identical messages. We employed a zero-knowledge authentication protocol to confirm knowledge of the shared secret, thereby protecting the verifier against unauthorized signature imposition. The LINEture cryptosystem is built on linear matrix algebra and does not rely on a computationally hard problem. High security is achieved through the appropriate selection of matrix transformation dimensions. Matrix computations potentially offer low operational costs for signature generation and verification.
Public blockchains, though renowned for their transparency and immutability, suffer from significant privacy concerns. Network-level analysis and long-term observation of publicly available transactions can often be used to infer user identities. To mitigate this, several blockchain applications rely on relayers, which serve as intermediary nodes between users and smart contracts deployed on the blockchain. However, dependence on a single relayer not only creates a single point of failure but also introduces exploitable vulnerabilities that weaken the system's privacy guarantees. This paper proposes a decentralized relayer architecture that enhances privacy and reliability through game-theoretic incentive design. We model the interaction among relayers as a non-cooperative game and design an incentive mechanism in which probabilistic uploading emerges as a unique mixed Nash equilibrium. Using evolutionary game analysis, we demonstrate the equilibrium's stability against perturbations and coordinated deviations. Through numerical evaluations, we analyze how equilibrium strategies and system behavior evolve with key parameters such as the number of relayers, upload costs, rewards, and penalties. In particular, we show that even with high transaction costs, the system maintains reliability with an outage probability below 0.05 . Furthermore, our results highlight a fundamental trade-off between privacy, reliability, robustness, and cost in decentralized relayer systems.
Authors note (January 2026) - I have consolidatated files/sections into one document. FUNt_Hydrogen_Cosmos_Master_Thesis_Consolidated.pdf I Also added some colab notebooks with intent to allow each reader to run their own math, compare to the thesis words and test the conclusions. Abstract: The Hydrogen Cosmos serves as the empirical cornerstone of the Fundamental Unification of Nature theory (FUNt). Across the included sections and empirical addenda, the work demonstrates that Hydrogen â as both matter and harmonic field â encodes the universal resonance law governing all scales of structure, from atomic spin to galactic filament. Using Ïâ·-scaling and Fractaile Geometry (D â 1.2), this collection integrates theoretical, mathematical, and experimental foundations, forming the full HydrogenâCosmos Continuum: Contained Sections Section A: HydrogenâCosmos Definition and Test Protocol (Empirical Edition) Section B: Hydrogen, Cosmos, and Resonance Bands Section C: Proton Tunneling Continuum â Final Derivation Section D: Empirical Proof and Cross-Scale Correlations Section E: Errata, Empirical Corrections, and Expanded Scaling Proof Together these sections complete the first full-spectrum FUNt treatment of; hydrogen as a cosmic harmonic. Each accompanying image and dataset represents the resonance lattice visually, â from lattice phase diagrams to spectrum overlays â forming a cohesive empirical archive. Core results: âą Quantization of hydrogen field resonance across Ïâ· harmonics. âą Coupling between magnetic phase coherence and cosmic scaling laws. âą Proof-of-alignment between subatomic, planetary, and galactic Ï-ratios. note- this is one paper in the series: Fundamental Unification of Nature theory (FUNt) Zenodo papers. 0. FUNt Physmatics Self Audit of Reproducible ParametersPublished January 6, 2026 | Version v1: https://doi.org/10.5281/zenodo.18166976 1. Final Unification of Nature theory â From Cosmos to Quanta by PROTON Resonance Published: 2025-10-08 · Version: v1 DOI: https://doi.org/10.5281/zenodo.17298395 2. THE BIG FLASH v2 â Master Consolidated Reference Published: 2025-10-08 · Version: v2 DOI: https://doi.org/10.5281/zenodo.18049415 3. Fractaile Electron Lattice: Foundations for Post-Carbon Propulsion and Power Published: 2025-10-09 · Version: v1 DOI: https://doi.org/10.5281/zenodo.17298846 4. Fractaile Magnetodynamics identifies Ï-series quantization in near-Earth magnetic oscillations Published: 2025-10-09 · Version: v1 DOI: https://doi.org/10.5281/zenodo.17306587 5. FUNt SUBATOMIC Decade Published: 2025-10-09 · Version: v1 DOI: https://doi.org/10.5281/zenodo.17298913 6. The Fundamental Unified Nature Theory (FUNt) â 2025 Public Release Published: 2025-10-31 · Version: v2 DOI: https://doi.org/10.5281/zenodo.17497241 7. Fractaile Gravity: A Ï-Scaled Harmonic Reformulation of Spacetime Curvature Published: 2025-11-10 · Version: v2 DOI: https://doi.org/10.5281/zenodo.17566901 8. HRB â Transition Bands of the Golden Spectrum Published: 2025-11-10 · Version: v4 DOI: https://doi.org/10.5281/zenodo.17654796 9. Riemann Zero Spacings RESOLVED â Spectral Periodicity in Prime Gaps and Riemann Zero Spacings Published: 2025-11-10 · Version: v7 DOI: https://doi.org/10.5281/zenodo.17566439 10. FUNt Golden SchrödingerâHelmholtz Boundary Resolver (Ïâ· Edition) Published: 2025-11-15 · Version: v2 DOI: https://doi.org/10.5281/zenodo.17620157 11. The Ïâ· Universal Master Cycle of âALLâ (from Collapse to reâBloom) Published: 2025-11-15 · Version: v1 DOI: https://doi.org/10.5281/zenodo.17618141 12. FUNt â LCDM vs FUNtâWWR âGrad Engine / Bad Glassâ comparator Published: 2025-11-16 · Version: v2 DOI: https://doi.org/10.5281/zenodo.17625172 13. The Hydrogen Cosmos: Quantization, Resonance, and the Universal Ïâ· Symmetry Published: 2025-11-19 · Version: v2 DOI: https://doi.org/10.5281/zenodo.17655248 14. FUNt Physmatics Encyclopedia â âPHYSMATICSâ Published: 2025-11-22 · Version: v2 DOI: https://doi.org/10.5281/zenodo.17941109 15. FUNt Time â Tribal Knowledge: âManâs Unifier of Cyclesâ Published: 2025-11-22 · Version: v2 DOI: https://doi.org/10.5281/zenodo.17683178 16. Grid Management via Geometry: PhaseâCoherent, LowâEntropy Grid Operation Published: 2025-11-28 · Version: v1 DOI: https://doi.org/10.5281/zenodo.17753397 17. FUNt / Physmatics Machine Index (Translator, Constants, Ethical Framework) Published: 2025-12-11 · Version: v1 DOI: https://doi.org/10.5281/zenodo.17901638 18. FUNt Master Mathematics 2025 â Canonical Edition Published: 2025-12-11 · Version: v4 DOI: https://doi.org/10.5281/zenodo.17904431 19. Everyâthingâ Is a Magnet? Κ is introduced. Published: 2025-12-13 · Version: v1 DOI: https://doi.org/10.5281/zenodo.17922979 20. Transition â Toroidal action functional and scale derivative Κ Published: 2025-12-13 · Version: v1 DOI: https://doi.org/10.5281/zenodo.17921607 21. ReferenceâScale Normalization (hÂłÏ) â Universal Constants Resolver Published: 2025-12-19 · Version: v1 DOI: https://doi.org/10.5281/zenodo.17982160 22. 137 Root: Establishing a Shared Mathematical Anchor for Postâ2025 Physics Published: 2025-12-20 · Version: 1.0 DOI: https://doi.org/10.5281/zenodo.18001058 23. In what sense does â137â move if α = α(ÎŒ)? Published: 2025-12-20 · Version: 1.0 DOI: https://doi.org/10.5281/zenodo.18002477 24. Κ Operator, Charge State, Closure Discipline (Physmatics Core) Published: 2025-12-20 · Version: 1.0 DOI: https://doi.org/10.5281/zenodo.18003689 25. A NullâControlled, HydrogenâAnchored Empirical Filter (137âRoot Baseline) Published: 2025-12-23 · Version: v1 DOI: https://doi.org/10.5281/zenodo.18039733 26. Beyond Goldilocks: A Hydrogenic Boundary Published: 2025-12-24 · Version: v1 DOI: https://doi.org/10.5281/zenodo.18048401 27. FUNt 2025 â White Paper Compendium (12â2025 Update) Published: 2025-12-27 · Version: v2 DOI: https://doi.org/10.5281/zenodo.18070789 28. FUNt â Golden Python Play Model (Ïâ· Edition) Published: 2025-12-28 · Version: v5 DOI: https://doi.org/10.5281/zenodo.18079441 29. Reality Canât Be Delegated Published: 2025-12-30 · Version: v1 DOI: https://doi.org/10.5281/zenodo.18100323 30. SelfâAudit of Reality Is Not Rebellion Published: 2026-01-01 · Version: v1 DOI: https://doi.org/10.5281/zenodo.18116684 31. Why (Κ recurrence alone) does not grant objectivity Published: 2026-01-03 · Version: v3 DOI: https://doi.org/10.5281/zenodo.18142267 32. FUNt Physmatics Self Audit of Reproducible Parameters. Published January 6, 2026 Version v1 https://doi.org/10.5281/zenodo.18166976 33. "Why is my AI hallucinating â Could I be the cause?" Published January 11, 2026https://doi.org/10.5281/zenodo.18213644 CreatorNowlin, Michael K. (Producer)
Chimeremma Sandra Amadi, Simeon Okechukwu Ajakwe, Taesoo Jun
Secure and auditable data sharing in large-scale Internet of Things (IoT) environments remains a significant challenge due to weak trust coordination, limited scalability, and susceptibility to emerging quantum attacks. This study introduces a hybrid blockchain-based framework that integrates post-quantum cryptography with intelligent anomaly detection to ensure end-to-end data integrity and resilience. The proposed system utilizes Hyperledger Fabric for permissioned device lifecycle management and Ethereum for public auditability of encrypted telemetry, thereby providing both private control and transparent verification. Device identities are established using quantum-entropy-seeded credentials and safeguarded with lattice-based encryption to withstand quantum adversaries. A convolutional long short-term memory (CNNâLSTM) model continuously monitors device behavior, facilitating real-time trust scoring and autonomous revocation via smart contract triggers. Experimental results demonstrate 97.4% anomaly detection accuracy and a 0.968 F1-score, supporting up to 1000 transactions per second with cross-chain latency below 6 s. These findings indicate that the proposed architecture delivers scalable, quantum-resilient, and computationally efficient data sharing suitable for mission-critical IoT deployments.
Ni Wayan Lasmi, Ni Kadek Ayu Puspita Dewi, Ni Putu Nina Eka Lestari, Ni Ketut Arniti
Penelitian ini bertujuan untuk menganalisis strategi promosi Bitcoin yang diterapkan oleh pelaku industri aset kripto, khususnya Indodax dan edukator kripto seperti Timothy Ronald, dalam mengatasi ketidakpercayaan masyarakat Indonesia terhadap aset kripto. Ketidakpercayaan ini masih menjadi hambatan besar dalam proses adopsi Bitcoin, terutama disebabkan oleh rendahnya literasi keuangan digital, kekhawatiran terhadap keamanan investasi, serta stigma negatif yang melekat akibat fluktuasi harga dan pemberitaan media yang tidak selalu objektif. Penelitian ini menggunakan pendekatan kualitatif deskriptif yang memungkinkan peneliti memahami secara mendalam persepsi, pengalaman, serta strategi komunikasi yang diterapkan dalam promosi Bitcoin. Teknik pengumpulan data dilakukan melalui wawancara mendalam terhadap beberapa kategori informan, yaitu pengguna aktif Indodax, pengguna baru yang terdorong oleh fear of missing out (FOMO), masyarakat yang masih skeptis terhadap Bitcoin, serta karyawan dari Indodax. Selain itu, peneliti juga melakukan observasi konten media sosial dan edukasi yang disampaikan oleh influencer kripto sebagai bentuk dokumentasi promosi. Data dianalisis menggunakan model interaktif Miles dan Huberman yang meliputi proses reduksi data, penyajian data, serta penarikan kesimpulan secara tematik. Hasil penelitian menunjukkan bahwa strategi promosi yang efektif tidak hanya bergantung pada iklan atau kampanye visual semata, melainkan lebih menekankan pada edukasi berkelanjutan dan peningkatan literasi keuangan masyarakat. Penyampaian informasi yang sederhana, jujur, serta berbasis pada pengalaman nyata pengguna terbukti dapat membangun kepercayaan publik. Pendekatan edukatif yang dilakukan melalui media sosial, video interaktif, webinar, dan kolaborasi dengan influencer terbukti mampu mengubah persepsi negatif menjadi ketertarikan, terutama di kalangan generasi muda. Dengan demikian, edukasi menjadi kunci utama dalam meningkatkan minat dan kepercayaan masyarakat terhadap penggunaan Bitcoin di Indonesia.
We present Y.I.N.-AGENT-ACT, a privacy-preserving architecture for autonomous AI agent action chains that mathematically guarantees zero intent drift while maintaining cryptographic compliance across multi-step workflows. The core innovation is the mandatory DPâZKâHE ordering (Differential Privacy â Zero-Knowledge Proof â Homomorphic Encryption) applied to every step in autonomous agent execution, combined with 136-byte Action Chain Compliance Tokens providing cryptographic chain integrity through HMAC-SHA256 chaining. Key results (measured on 48-step test corpus including 15 adversarial scenarios): (1) 100% drift preventionâall 15 drift scenarios caught with zero false negatives; (2) F1-score 0.882 at threshold 0.5 (precision 0.789, recall 1.000); (3) ~85ms per-step overhead with O(N) verification complexity; (4) 136-byte token size verified to match patent specification exactly; (5) native EU AI Act Article 50 compliance via verifiable privacy proofs. Y.I.N.-AGENT-ACT addresses the emerging agent autonomy crisis where AI systems like OpenAI Operator and Anthropic Computer Use execute multi-step tasks without cryptographic guarantees. The Intent Drift Elimination Theorem establishes that undetected drift probability is bounded by ÎŽ+(1âthreshold), achieving zero false negatives across all measured adversarial scenarios including phishing, data exfiltration, and privilege escalation attacks. Protected by US Pending Patent 63/956,723 (106 claims). The agentic AI market is projected to reach $93.2 billion by 2032, but deployment remains at 2% of enterprises due to governance bottlenecks. Y.I.N.-AGENT-ACT eliminates the 6-18 month compliance barrier through cryptographic compliance-by-design.