Paradigm Shift In Technology Research Articles

Danish Lexicography between Tradition and Innovation: Digital Dictionaries and Needs-adapted Glosses

Abstract This article deals with Danish lexicography in the light of the current technological and commercial paradigm shift. It shows that the publication of printed dictionaries has almost ceased, and that most new dictionaries are either digital or digitised versions of older dictionaries. The article focuses first on three very different general dictionaries of Danish, Den Danske Ordbog, Den Danske Netordbog og Retskrivningsordbogen, each of which is described in general terms, with some critical observations and comments. It then lists a number of important dictionaries dealing with Danish dialects, culture and linguistic heritage since the 12th century. It also briefly discusses the challenges posed by an outdated business model from the print era, which has resulted in all traditional publishers closing down, leaving most dictionaries that do not benefit from public funding in the hands of a single major provider. The worrying result is that many of these dictionaries, including some essential bilingual and specialised dictionaries, are no longer being properly updated. Finally, examples are given of how traditional lexicographical glosses have found new life in digital software, such as reading and writing assistants.

Rare-Earth Metal-Based Materials for Hydrogen Storage: Progress, Challenges, and Future Perspectives.

Rare-earth-metal-based materials have emerged as frontrunners in the quest for high-performance hydrogen storage solutions, offering a paradigm shift in clean energy technologies. This comprehensive review delves into the cutting-edge advancements, challenges, and future prospects of these materials, providing a roadmap for their development and implementation. By elucidating the fundamental principles, synthesis methods, characterization techniques, and performance enhancement strategies, we unveil the immense potential of rare-earth metals in revolutionizing hydrogen storage. The unique electronic structure and hydrogen affinity of these elements enable diverse storage mechanisms, including chemisorption, physisorption, and hydride formation. Through rational design, nanostructuring, surface modification, and catalytic doping, the hydrogen storage capacity, kinetics, and thermodynamics of rare-earth-metal-based materials can be significantly enhanced. However, challenges such as cost, scalability, and long-term stability need to be addressed for their widespread adoption. This review not only presents a critical analysis of the state-of-the-art but also highlights the opportunities for multidisciplinary research and innovation. By harnessing the synergies between materials science, nanotechnology, and computational modeling, rare-earth-metal-based hydrogen storage materials are poised to accelerate the transition towards a sustainable hydrogen economy, ushering in a new era of clean energy solutions.

Digitalization and non-profits: Competency requirements in non-profit sector of Saudi Arabia

Digitalization is emerging as a broader socio-technical transformation affecting businesses of all types. The paradigm shifts in digital technology have mandated new mindsets and approaches to managerial, leadership, and entrepreneurial competitiveness in organizations. Human capital with the ability to convey digital knowledge and strategies is regarded as a crucial resource for digital transformations (DT) in organizations. In fact, the development of relevant technological and digital competencies (DCs) is regarded as the biggest obstacle to DT in non-profit organizations (NPOs) as well. However, the growth of literature in this direction has been fragmented by the lack of any formal integration of DCs. The current study is formulated with the primary goal of exploring the digital competency requirements of NPOs. A systematic literature review protocol adhering to PRISMA guidelines was undertaken to synthesize the initial draft of DCs. Subsequently, a modified two-round Delphi survey with a panel of 25 experts was used to rate the competencies quantitatively. The analysis followed the prescribed Delphi principles to determine the results' validity and reliability. As a result, a comprehensive set of eighteen competencies was generated and categorized into three areas (‘digital leadership’, ‘personnel and organizational’, and ‘technical’ competencies). While filling an important void in the literature, the study's findings lay the groundwork for a digital transformation education, learning, and development agenda in non-profits.

Thin silicon sensors for extreme fluences: A doping compensation strategy

The CompleX project aims at extending the operation range of silicon detectors as 4D trackers up to 5 × 1017 neqcm−2. The project envisions achieving this unprecedented radiation tolerance through a novel comprehension of radiation damage saturation, and an innovative design for the Low-Gain Avalanche Diodes (LGADs) gain layer with compensated implants. This innovative LGAD design, featuring a co-implantation of acceptor and donor dopants, represents a paradigm shift in radiation-resistant sensor technology. It potentially enables compensated LGADs to maintain functionality at fluences exceeding 1017 neqcm−2, significantly extending the operational lifetime of conventional LGAD sensors under extreme fluence conditions. This advantage is further enhanced by the inherent radiation tolerance of thin substrates. This work presents simulations and measurements from the first compensated LGAD production (late 2022, FBK foundry) before and after neutrons irradiation. Numerical modeling strategies using state-of-the-art Technology-CAD tools quantify the reduction in acceptor removal rate due to carbon co-implantation and investigate the behavior of donor removal under irradiation. This comprehensive approach paves the way for the development of highly efficient tracking detectors for future collider experiments.

Apple Vision Pro: A Paradigm Shift in Medical Technology.

The introduction of Apple Vision Pro (AVP) marks a significant milestone in the intersection of technology and healthcare, offering unique capabilities in mixed reality, which Apple terms "spatial computing." This narrative review aims to explore the various applications of AVP in medical technology, emphasizing its impact on patient care, clinical practices, medical education, and future directions. The review synthesizes findings from multiple studies and articles published between January 2023 and May 2024, highlighting AVP's potential to enhance visualization in diagnostic imaging and surgical planning, assist visually impaired patients, and revolutionize medical education through immersive learning environments. Despite its promise, challenges remain in integrating AVP into existing healthcare systems and understanding its long-term impact on patient outcomes. As research continues, AVP is poised to play a pivotal role in the future of medicine, offering a transformative tool for healthcare professionals.

Spheroid-Hydrogel-Integrated Biomimetic System: A New Frontier in Advanced Three-Dimensional Cell Culture Technology.

Despite significant advances in three-dimensional (3D) cell culture technologies, creating accurate in vitro models that faithfully recapitulate complex in vivo environments remains a major challenge in biomedical research. Traditional culture methods often fail to simultaneously facilitate critical cell-cell and cell-extracellular matrix (ECM) interactions while providing control over mechanical and biochemical properties. This review introduces the spheroid-hydrogel-integrated biomimetic system (SHIBS), a groundbreaking approach that synergistically combines spheroid culture with tailored hydrogel technologies. SHIBS uniquely bridges the gap between traditional culture methods and physiological conditions by offering unprecedented control over both cellular interactions and environmental properties. We explore how SHIBS is revolutionizing fields ranging from drug discovery and disease modeling to regenerative medicine and basic biological research. The review discusses current challenges in SHIBS technology, including reproducibility, scalability, and high-resolution imaging, and outlines ongoing research addressing these issues. Furthermore, we envision the future evolution of SHIBS into more sophisticated organoid-hydrogel-integrated biomimetic systems and its integration with cutting-edge technologies such as microfluidics, 3D bioprinting, and artificial intelligence. SHIBS represents a paradigm shift in 3D cell culture technology, offering a unique solution to recreate complex in vivo environments. Its potential to accelerate the development of personalized therapies across various biomedical fields is significant. While challenges persist, the ongoing advancements in SHIBS technology promise to overcome current limitations, paving the way for more accurate and reliable in vitro models. The future integration of SHIBS with emerging technologies may revolutionize biomimetic modeling, potentially reducing the need for animal testing and expediting drug discovery processes. This comprehensive review provides researchers and clinicians with a holistic understanding of SHIBS technology, its current capabilities, and its future prospects in advancing biomedical research and therapeutic innovations.

Time-Hopping Concentration-Position Shift Keying for Multiple Access in Concentration-Encoded Molecular Communication

Molecular communication (MC) represents a paradigm shift in communication technologies, extending beyond traditional electromagnetic methods by incorporating advances in nanotechnology, biotechnology, and communication theory. This innovative approach holds promise for groundbreaking applications in diverse fields such as medicine, military operations, and environmental monitoring. MC employs molecules to carry and transmit data. In concentration-encoded molecular communication (CEMC), information is represented through the concentration levels of the transmitted molecules. In this study, we introduce a novel method named time-hopping concentration-position shift keying (TH-CPSK), designed to facilitate multiple access within MC networks. The TH-CPSK method encodes information based on the position of the transmitted molecular concentration, significantly enhancing the accuracy of data transmission by reducing interference in MC channels. Numerical simulations reveal that an increase in the number of users adversely affects communication performance. Furthermore, our findings indicate that augmenting the number of hops improves communication performance at transmitter-receiver distances of 1 cm and 2 cm. Conversely, at a distance of 3 cm, performance degradation is observed, attributed to the increased complexity. Therefore, it is important to carefully select the number of hops considering the molecular channel’s characteristics. Overall, TH-CPSK can enhance the efficiency and reliability of CEMC systems, offering a significant step forward in the realization of MC’s potential applications.

Synergistic effects of zinc thiocyanate on the performance of cesium lead bromide perovskite phosphors for solid-state lighting applications

All inorganic lead halide perovskites have led to a new paradigm shift in display and lighting technologies because of significant cost and performance advantage over the current state-of-the-art optoelectronics. However, the applications of these perovskites are undermined due to the toxicity and severe degradation of the materials in response to external stimuli. This research highlights the synergetic effects of co-doping of CsPbBr3 nanocrystals (NCs) at its B- and X-site using zinc thiocyanate (Zn(SCN)2). The adopted doping strategy helps to improve the photoluminescence stability of the pristine NCs when stored under ambient conditions for 156 days. This is attributed to the enhanced local structural order and reduced inhomogeneous strain between the lattices of the NCs due to the synchronized effect of Zn2+ and SCN–. The composite NCs are integrated as color-converting layers (thin 3D printing layer coated with NCs) with a blue LED chip to obtain the white light. It exhibits bright white emissions with a color rendering index of 86, correlated color temperature of 6046 K, and color coordinates close to standard white light. This work emphasizes the strong potential of inexpensive and earth-abundant Zn(SCN)2-based CsPbBr3 composites to meet consumer needs.

Gravity refrigeration cycle: An efficient approach for refrigeration in mountainous regions

Traditional refrigeration methods often rely on energy-intensive, high operational costs and result in considerable negative environmental impacts. This paper introduces a novel and revolutionary approach to refrigeration technology through the implementation of the Gravity Refrigeration Cycle (GRC). GRC utilizes vertical pipelines in high elevation mountains instead of compressors to increase the pressure of refrigeration gases. Gas added to the top of the vertical pipeline is pulled down by gravity, increasing the pressure and density of the gas along the vertical pipeline and liquefying it at the bottom of the pipeline. The liquid is then transported back to the top of the mountain, where cooling services are provided, and the cycle starts again. The estimated coefficient of performance for a GRC system with 28 and −7 °C hot and cold sinks is 4.19, which is 1.84 times higher than conventional, mechanical refrigeration systems and a cost of 274 USD/kWt, 2.2 times higher than conventional systems. Gravity Refrigeration Cycle represents a paradigm shift in refrigeration technology in mountainous regions, particularly for processes with high demand for cooling, such as hydrogen liquefaction. As the world seeks greener and more economical alternatives, GRC could be a promising advancement in refrigeration.

Technology of High-k/Metal-Gate Stack

Abstract The High-k/Metal-Gate Stack (HKMG) technology represents a seminal advancement in semiconductor fabrication, predicated upon the substitution of SiO2 with high-k dielectric materials, coupled with the integration of metal gate materials. This technological paradigm shift has emerged as a transformative response to the intricate challenges encountered within the semiconductor industry, a sector perpetually engaged in the relentless pursuit of diminishing the critical dimensions of semiconductor devices. Issues such as increased power leakage, enhanced parasitic capacitance, and the escalating complexity of gate insulators have impeded the sustainable downscaling of traditional silicon dioxide-based devices. These challenges have necessitated a comprehensive re-evaluation of the materials and processes involved in semiconductor manufacturing, leading to the conception and evolution of the HKMG technology. This article’s analysis of the developmental trajectory of HKMG technology reveals a progression marked by the systematic exploration of alternative high-k dielectric materials, rigorous compatibility assessments with metal gate materials, and the concurrent refinement of manufacturing processes to ensure seamless integration. After that, elucidating the impediments encountered during its evolution and expounding upon the corresponding ameliorative measures instituted. Looking ahead, ongoing research focusing on the synthesis of advanced high-k dielectric materials, and the development of novel metal gate materials with superior compatibility to further enhance device performance and functionality makes HKMG technology a huge prospect. Such advancements are paving the way for the realization of more powerful, energy-efficient, and compact electronic devices.

The impact of population aging on business innovation: a comprehensive overview

Population ageing is defined as the number of people aged 65 and over reaching 7 per cent of a country's total population. As our country enters the twentieth century, it is also entering an ageing society. On the one hand, population aging affects the effective supply of labour, the physical function of workers declines along with their willingness to work, and the burden of supporting the labour force in their prime years increases, which increases the operating costs of enterprises, hinders enterprise innovation, and is not conducive to technological advancement; it also pushes enterprises to increase their investment in human capital and technological innovation, enhances labour productivity, and promotes enterprise innovation. As the technological paradigm shifts, latecomer firms can win the competition, offset the negative effects of population ageing, and achieve technological innovation and economic growth as long as they are at the top of the shift.

Advancing real-world visual SLAM: Integrating adaptive segmentation with dynamic object detection for enhanced environmental perception

The field of Visual Simultaneous Localization and Mapping (VSLAM) has long grappled with the limitations imposed by static environmental assumptions, a challenge that becomes increasingly pronounced in dynamic settings. Addressing this gap, our study introduces a pioneering technique, Accurate and Dynamic Reliable SLAM (YoloV8-SLAM), which represents a paradigm shift in VSLAM technology. This novel approach combines the prowess of dynamic object detection with advanced multi-view geometry, thereby elevating the system’s accuracy, robustness, and efficiency in varied dynamic scenarios. At the core of YoloV8-SLAM is an innovative adaptive segmentation process that skilfully merges geometric motion details from successive frames. This integration not only isolates dynamic objects with heightened precision but also ensures consistent mapping accuracy. The system employs the latest YoloV8 model, synergizing it with an Enhanced Multi-View Geometry algorithm. This combination is adept at handling a spectrum of dynamic conditions, further bolstered by a precise point selection mechanism that swiftly retrieves motion information, crucial for real-time applications. Our extensive evaluations demonstrate that YoloV8-SLAM significantly outperforms existing methods such as including DynaSLAM (Bescos et al., 2018), DM-SLAM (Cheng et al., 2020), RDS-SLAM (Liu et al., 2021), Blitz-SLAM (Fan et al., 2022), and OVD-SLAM (He et al., 2023). Notably, it achieves a 38–45% reduction in Absolute Trajectory Error and a 66–72% decrease in Relative Pose Error, underscoring its superior performance. The breakthrough of YoloV8-SLAM lies in its seamless amalgamation of cutting-edge machine learning with robust geometric principles. This fusion not only facilitates effective dynamic segmentation but also ensures stable structural reconstruction, even in highly dynamic environments. This work marks a substantial advancement in SLAM technology, particularly in addressing the complexities of dynamic and unrestricted settings. YoloV8-SLAM sets a new benchmark in the field and paves the way for future explorations in dynamic SLAM solutions, promising to revolutionize applications requiring high fidelity in real-world, ever-changing environments.

Retinomorphic X-ray detection using perovskite with hydrion-conductive organic cations

X-ray detection is crucial across various sectors, but traditional techniques face challenges such as inefficient data transmission, redundant sensing, high power consumption, and complexity. The innovative idea of a retinomorphic X-ray detector shows great potential. However, its implementation has been hindered by the absence of active layers capable of both detecting X-rays and serving as memory storage. In response to this critical gap, our study integrates hybrid perovskite with hydrion-conductive organic cations to develop a groundbreaking retinomorphic X-ray detector. This novel device stands at the nexus of technological innovation, utilising X-ray detection, memory, and preprocessing capabilities within a single hardware platform. The core mechanism underlying this innovation lies in the transport of electrons and holes within the metal halide octahedral frameworks, enabling precise X-ray detection. Concurrently, the hydrion movement through organic cations endows the device with short-term resistive memory, facilitating rapid data processing and retrieval. Notably, our retinomorphic X-ray detector boasts an array of formidable features, including reconfigurable short-term memory, a linear response curve, and an extended retention time. In practical terms, this translates into the efficient capture of motion projections with minimal redundant data, achieving a compression ratio of 18.06% and an impressive recognition accuracy of up to 98.6%. In essence, our prototype represents a paradigm shift in X-ray detection technology. With its transformative capabilities, this retinomorphic hardware is poised to revolutionize the existing X-ray detection landscape.

State-of-Art Review of Renewable Energy-Based Systems for Electrical Machine Applications: Prospects and Challenges

Abstract Renewable energy sources (RES) are a game-changer since they produce no greenhouse gases (GHG). There is an increasing amount of interest in it across the world. The intermittent nature of RES makes it difficult to incorporate them into the existing power grid infrastructure and for use in electrical machines for industrial and domestic applications. As the number of RES grows along with different machine variants, innovative methods of interconnecting them are being explored. This study gives a thorough analysis of net zero RES (wind, solar and hydro) for electric machine applications considering their efficiency, feasibility, and reliability coupled with the trend of connection topologies. The Paradigm shift in material technology for RES application is also examined from the 1950s till the present paving the way for innovative design of novel electrical machines with optimal output performances and cost minimization. Modelling and optimization approaches were captured with the benefits and drawbacks highlighted. For electric machines to function at peak efficiency over time, energy harvesting from these sources becomes significant and must be controlled and maintained risk-free. In addition, the challenges, and prospects, associated with the operation of an Electric Machine technology in a clean environment have all been highlighted.

Transforming offshore field developments with Pivotree™: an innovative technology solution for fast, cost effective, and low footprint projects

Pivotree™ represents a technology paradigm shift in offshore oil field development, reducing cost and providing a route to market for the operators of stranded resources. Conventional standalone projects, characterised by substantial upfront capital expenditures with complex equipment and high installation costs, are juxtaposed against the Pivotree™ solution, with a markedly reduced capital outlay that retains all the requisite safety and operational features associated with larger systems. A comparative study of activities, materials, and risks concomitant with different field development concepts are analysed for a range of reservoir characteristics, highlighting the financial advantages of the Pivotree™ technology using Multiple-Criteria Decision Analysis (MCDA). MCDA allows a systematic assessment and comparison of a broad spectrum of qualitative factors including safety, environmental impact, operability, maintainability, time to deploy, water depth, independence, and abandonment burden and development of a set of economic scenarios with the costs of different development concepts compared over the lifecycle phases from Drilling to Abandonment, and the Net Present Value (NPV) and Internal Rate of Return (IRR) calculated against a range of oil prices, and operating expenditures. A case study ‘Concept Select’ activity is performed using MCDA to evaluate the range of development options against the listed set of project and technology attributes. A set of weightings is provided for the purpose of analysis by the author equating to the corporate values and strategy of a fictional energy company. The MCDA analysis demonstrates that the Pivotree™ technology can unlock production from the global store of stranded offshore discovered resources.

Next-Gen Medical Technology a Smart Approach to Syringe Injection Pump Automation

This presents the design, implementation, and successful validation of a cutting-edge IoT-based Syringe Injection Pump (SIP) for precision medication administration. In response to the increasing demand for enhanced healthcare automation, this system leverages technologies to address critical challenges in medication delivery. This SIP incorporates a robust Internet of Things (IoT) framework, enabling seamless communication between the device and a central healthcare management system. The automated syringe injection process is governed by a sophisticated algorithm that considers patient-specific parameters, ensuring precise dosage administration. Through extensive testing and real-world simulations, the results demonstrate a significant reduction in human error and improved medication adherence. The system’s architecture integrates secure communication protocols, ensuring data confidentiality and integrity during transmission. An innovative user interface provides healthcare professionals with real-time monitoring and control capabilities, enhancing situational awareness and responsiveness. Furthermore, the SIP’s adaptability to diverse medical environments underscores its versatility in meeting the evolving needs of healthcare institutions. To validate the system’s effectiveness, a comprehensive performance evaluations, including dosage accuracy, response time, and reliability under varying conditions was conducted. Results indicate an impressive dosage precision of 99.8%, showcasing the system’s reliability in critical healthcare scenarios. The IoT connectivity facilitates remote monitoring and control, allowing healthcare providers to intervene promptly in case of anomalies or emergencies. In addition to its technical prowess, the SIP aligns with current healthcare trends by promoting sustainability and cost-effectiveness. The automated system optimizes resource utilization, reduces medication waste, and minimizes the environmental impact associated with traditional manual injection methods. In conclusion, this IoT-based Syringe Injection Pump represents a paradigm shift in medical technology, offering a smart and results-oriented solution for precise medication administration. The successful implementation and validation of this system pave the way for improved patient outcomes, streamlined healthcare workflows, and a more sustainable approach to medication delivery. This research contributes to the ongoing discourse on advancing medical technology and underscores the potential of IoT in shaping the future of healthcare.

INTEGRATING A.I TECHNOLOGY IN ARABIC LANGUAGE LEARNING: THE STRATEGIC ROLE OF THE LIBRARY AT ISLAMIC UNIVERSITY TRIBAKTI

The Library of Islamic University Tribakti serves as a dynamic technical arm, complementing the institution's core functions in education, research, and community outreach. Functioning as a nexus of knowledge dissemination, it plays a pivotal role in providing access to resources and services essential for academic enrichment. Beyond traditional literacy support, the library embraces innovation by offering Artificial Intelligence (A.I.)-powered learning platforms. These cutting-edge tools, accessible through library-provided computer applications, represent a paradigm shift in educational technology. This research endeavors to delve into the library's multifaceted role in facilitating access to A.I.-driven learning media. By elucidating the integration of A.I. technologies within the library ecosystem, this study aims to underscore their transformative potential for enhancing student learning experiences. Furthermore, it seeks to explore the broader implications of A.I. integration in educational settings, shedding light on its impact on pedagogical approaches and learning outcomes. Through an interdisciplinary lens, this research contributes to the ongoing discourse on the intersection of technology and education, offering insights into the evolving landscape of contemporary learning environments

Paediatric sleep diagnostics in the 21st century: the era of "sleep-omics"?

Paediatric sleep diagnostics is performed using complex multichannel tests in specialised centres, limiting access and availability and resulting in delayed diagnosis and management. Such investigations are often challenging due to patient size (prematurity), tolerability, and compliance with "gold standard" equipment. Children with sensory/behavioural issues, at increased risk of sleep disordered breathing (SDB), often find standard diagnostic equipment difficult.SDB can have implications for a child both in terms of physical health and neurocognitive development. Potential sequelae of untreated SDB includes failure to thrive, cardiopulmonary disease, impaired learning and behavioural issues. Prompt and accurate diagnosis of SDB is important to facilitate early intervention and improve outcomes.The current gold-standard diagnostic test for SDB is polysomnography (PSG), which is expensive, requiring the interpretation of a highly specialised physiologist. PSG is not feasible in low-income countries or outwith specialist sleep centres. During the coronavirus disease 2019 pandemic, efforts were made to improve remote monitoring and diagnostics in paediatric sleep medicine, resulting in a paradigm shift in SDB technology with a focus on automated diagnosis harnessing artificial intelligence (AI). AI enables interrogation of large datasets, setting the scene for an era of "sleep-omics", characterising the endotypic and phenotypic bedrock of SDB by drawing on genetic, lifestyle and demographic information. The National Institute for Health and Care Excellence recently announced a programme for the development of automated home-testing devices for SDB. Scorer-independent scalable diagnostic approaches for paediatric SDB have potential to improve diagnostic accuracy, accessibility and patient tolerability; reduce health inequalities; and yield downstream economic and environmental benefits.

Evaluation of the drought resilience of indigenous irrigation water systems: a case study of dry zone Sri Lanka

The wave of modernization and globalization in the last century has rapidly involved a technological paradigm shift from indigenous irrigation water systems to modern systems in arid regions. Despite interest in the drought resilience of indigenous water systems, the impact of this paradigm shift on drought resilience remains poorly understood because previous studies have focused on fixed irrigation water systems. To fill this gap, we investigated the drought resilience of an indigenous and modern irrigation water system that coexists in the drought-prone Mahaweli H region of the Sri Lankan dry zone. To explain drought resilience, we quantified the historical irrigation system performance (1985–2021) of both water systems using the water duty indicator (i.e., the volume of water required to cultivate a unit land area). The statistical Pettitt test was used to detect significant change points in the time series of water duty, and we divided the time line into few periods based on the change points. Furthermore, a quantitative trend analysis of several socio-hydrological variables and a qualitative analysis of their socio-hydrological backgrounds with triggers of water duty were conducted to explain drought resilience path dependency in modern and indigenous water systems. The results indicated a higher drought resilience is embedded in the indigenous system as the mean water duty increment in drought years compared to non-drought years is 16.4% for the indigenous system and 58.3% for the modern system. In addition, drought resilience pathways that elucidated by water duty change points also demonstrated that indigenous water system features a higher drought resilience compared to the modern water system. The findings of this comparative study can contribute to the design of drought resilience improvement strategies in arid region irrigation water systems in a more comprehensive manner.

Democratic Erosion of Data-Opolies: Decentralized Web3 Technological Paradigm Shift Amidst AI Disruption

This article investigates the intricate dynamics of data monopolies, referred to as “data-opolies”, and their implications for democratic erosion. Data-opolies, typically embodied by large technology corporations, accumulate extensive datasets, affording them significant influence. The sustainability of such data practices is critically examined within the context of decentralized Web3 technologies amidst Artificial Intelligence (AI) disruption. Additionally, the article explores emancipatory datafication strategies to counterbalance the dominance of data-opolies. It presents an in-depth analysis of two emergent phenomena within the decentralized Web3 emerging landscape: People-Centered Smart Cities and Datafied Network States. The article investigates a paradigm shift in data governance and advocates for joint efforts to establish equitable data ecosystems, with an emphasis on prioritizing data sovereignty and achieving digital self-governance. It elucidates the remarkable roles of (i) blockchain, (ii) decentralized autonomous organizations (DAOs), and (iii) data cooperatives in empowering citizens to have control over their personal data. In conclusion, the article introduces a forward-looking examination of Web3 decentralized technologies, outlining a timely path toward a more transparent, inclusive, and emancipatory data-driven democracy. This approach challenges the prevailing dominance of data-opolies and offers a framework for regenerating datafied democracies through decentralized and emerging Web3 technologies.