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Journal articles on the topic 'Interoperable Tracing'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Sarkar, Shambhu. "Supply Chain Security Act 2023 : Interoperable Data Exchange for Drug Traceability." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 8, no. 3 (2022): 471–77. https://doi.org/10.32628/CSEIT228390.

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The purpose of this paper is to focus on the requirements of the 2023 DSCSA Act. recommended by HDA. Drug Supply Chain Security Act (DSCSA) has outlined the guidelines to develop and enhance drug supply chain security act by 2023. This includes product tracing requirements that went into effect in 2015 for manufacturers, re-packagers, wholesale distributors and dispensers (primarily pharmacies). As we are approaching to 2023, It will be final phase of 10 yearlong implementation of Drug Supply Chain Security Act (DSCSA) since compliance enacted in 2013. Verification router services (Saleable Re

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Palfrey, John, and Urs Gasser. "Planning for the Next Pandemic: A Global, Interoperable System of Contact Tracing." Georgetown Journal of International Affairs 22, no. 1 (2021): 5–12. http://dx.doi.org/10.1353/gia.2021.0009.

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Arora, Ishank, Samuel Alfageme Sainz, Pedro Ferreira, Hugo Gonzalez Labrador, and Jakub Moscicki. "Enabling interoperable data and application services in a federated ScienceMesh." EPJ Web of Conferences 251 (2021): 02041. http://dx.doi.org/10.1051/epjconf/202125102041.

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In recent years, cloud sync & share storage services, provided by academic and research institutions, have become a daily workplace environment for many local user groups in the High Energy Physics (HEP) community. These, however, are primarily disconnected and deployed in isolation from one another, even though new technologies have been developed and integrated to further increase the value of data. The EU-funded CS3MESH4EOSC project is connecting locally and individually provided sync and share services, and scaling them up to the European level and beyond. It aims to deliver the Scienc

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Hassan, Dr Layla, and Reem Al Mazrouei. "EVOLVING PARADIGMS AND FUTURE TRAJECTORIES IN CYBER THREAT INTELLIGENCE." International Journal of Cyber Threat Intelligence and Secure Networking 2, no. 06 (2025): 1–7. https://doi.org/10.55640/ijctisn-v02i06-01.

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Cyber Threat Intelligence (CTI) has emerged as a cornerstone of modern cybersecurity, enabling organizations to anticipate, detect, and respond to evolving threats. As the cyber threat landscape becomes increasingly dynamic and complex, CTI paradigms are undergoing significant transformation. This paper explores the evolving paradigms of CTI, tracing its shift from reactive models to predictive and proactive frameworks driven by automation, artificial intelligence, and threat contextualization. Through a comprehensive analysis of current methodologies, tools, and applications, the study identi

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Liang, Steve H. L., Sara Saeedi, Soroush Ojagh, et al. "An Interoperable Architecture for the Internet of COVID-19 Things (IoCT) Using Open Geospatial Standards—Case Study: Workplace Reopening." Sensors 21, no. 1 (2020): 50. http://dx.doi.org/10.3390/s21010050.

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To safely protect workplaces and the workforce during and after the COVID-19 pandemic, a scalable integrated sensing solution is required in order to offer real-time situational awareness and early warnings for decision-makers. However, an information-based solution for industry reopening is ineffective when the necessary operational information is locked up in disparate real-time data silos. There is a lot of ongoing effort to combat the COVID-19 pandemic using different combinations of low-cost, location-based contact tracing, and sensing technologies. These ad hoc Internet of Things (IoT) s

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Dorkenwald, Sven, Arie Matsliah, Amy R. Sterling, et al. "Neuronal wiring diagram of an adult brain." Nature 634, no. 8032 (2024): 124–38. http://dx.doi.org/10.1038/s41586-024-07558-y.

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AbstractConnections between neurons can be mapped by acquiring and analysing electron microscopic brain images. In recent years, this approach has been applied to chunks of brains to reconstruct local connectivity maps that are highly informative1–6, but nevertheless inadequate for understanding brain function more globally. Here we present a neuronal wiring diagram of a whole brain containing 5 × 107 chemical synapses7 between 139,255 neurons reconstructed from an adult female Drosophila melanogaster8,9. The resource also incorporates annotations of cell classes and types, nerves, hemilineage

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Gianni, Daniele, Steve McKeever, Tommy Yu, et al. "Sharing and reusing cardiovascular anatomical models over the Web: a step towards the implementation of the virtual physiological human project." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1921 (2010): 3039–56. http://dx.doi.org/10.1098/rsta.2010.0025.

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Sharing and reusing anatomical models over the Web offers a significant opportunity to progress the investigation of cardiovascular diseases. However, the current sharing methodology suffers from the limitations of static model delivery (i.e. embedding static links to the models within Web pages) and of a disaggregated view of the model metadata produced by publications and cardiac simulations in isolation. In the context of euHeart—a research project targeting the description and representation of cardiovascular models for disease diagnosis and treatment purposes—we aim to overcome the above

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Gupta, Vinayak Raj. "Securing Digital Media via Watermarking: Applications in Healthcare, Surveillance, Communication." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 1592–603. https://doi.org/10.22214/ijraset.2025.72460.

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When digital media is pervaded in all of modern life including such critical areas as healthcare, surveillance and secure communication, the demand for strong, scalable and intelligent way for protecting the information embedded in digital media can never be more greatly felt. Digital watermarking has become a significant tool to embed invisible security features into multimedia data, providing authentication, tracing, and tamper resistance. This survey focuses on the applications to watermarking, considering its use in a comprehensive review of three important fields of interest, namely, medi

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Fetzer, Valerie, Max Hoffmann, Matthias Nagel, Andy Rupp, and Rebecca Schwerdt. "P4TC—Provably-Secure yet Practical Privacy-Preserving Toll Collection." Proceedings on Privacy Enhancing Technologies 2020, no. 3 (2020): 62–152. http://dx.doi.org/10.2478/popets-2020-0046.

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AbstractElectronic toll collection (ETC) is widely used all over the world not only to finance our road infrastructures, but also to realize advanced features like congestion management and pollution reduction by means of dynamic pricing. Unfortunately, existing systems rely on user identification and allow tracing a user’s movements. Several abuses of this personalized location data have already become public. In view of the planned Europeanwide interoperable tolling system EETS and the new EU General Data Protection Regulation, location privacy becomes of particular importance.In this paper,

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Siddiqi, Muhammad Hameed, Muhammad Idris, and Madallah Alruwaili. "FAIR Health Informatics: A Health Informatics Framework for Verifiable and Explainable Data Analysis." Healthcare 11, no. 12 (2023): 1713. http://dx.doi.org/10.3390/healthcare11121713.

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The recent COVID-19 pandemic has hit humanity very hard in ways rarely observed before. In this digitally connected world, the health informatics and investigation domains (both public and private) lack a robust framework to enable rapid investigation and cures. Since the data in the healthcare domain are highly confidential, any framework in the healthcare domain must work on real data, be verifiable, and support reproducibility for evidence purposes. In this paper, we propose a health informatics framework that supports data acquisition from various sources in real-time, correlates these dat

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Arokiasami, Willson Amalraj, Prahlad Vadakkepat, Kay Chen Tan, and Dipti Srinivasan. "Real-Time Path-Generation and Path-Following Using an Interoperable Multi-Agent Framework." Unmanned Systems 06, no. 04 (2018): 231–50. http://dx.doi.org/10.1142/s2301385018500061.

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Autonomous unmanned vehicles are preferable in patrolling, surveillance and, search and rescue missions. Multi-agent architectures are commonly used for autonomous control of unmanned vehicles. Existing multi-robot architectures for unmanned aerial and ground robots are generally mission and platform oriented. Collision avoidance, path-planning and tracking are some of the fundamental requirements for autonomous operation of unmanned robots. Though aerial and ground vehicles operate differently, the algorithms for obstacle avoidance, path-planning and path-tracking can be generalized. Service

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Indumathi, J. "BLOCK CHAIN FORENSICS: A SYSTEMATIC REVIEW OF THE PROSPECTS." International Journal of Multidisciplinary Research and Modern Education (IJMRME) 7, no. 1 (2021): 26–36. https://doi.org/10.5281/zenodo.5008556.

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Among the fastest-growing sectors, health care sector is most sought out one owing to the pandemic. During this pandemic the Healthcare sector is facing lot of complications inclusive of handling the medical record data and contact tracing. Coronavirus disease 2019 (COVID‑19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Most of the data are stored in the cloud inviting the malicious users to play with. Moreover, a plethora of challenges faced by the investigators related to the new cloud storage technology, are as dispersal of shards, default encryption, defining

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Mietchen, Daniel. "The ecology of FAIR Digital Objects, with special attention to roundtripping and benchmarking across the research ecosystem." Research Ideas and Outcomes 8 (October 12, 2022): e96117. https://doi.org/10.3897/rio.8.e96117.

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The more findable, accessible, interoperable and reusable (i.e. aligned with the FAIR Principles outlined by Wilkinson et al. 2016) a Digital Object is, the more likely it is to interact with other entities in the research ecosystem and beyond. As long as the interoperability of these entities is not perfect (and it rarely is), a variety of interactions with a given Digital Object (e.g. split, merge, aggregation, transformation, backup, upload, download, or updates of content, metadata, storage or permissions) will mean a variety of representations of it, with some closer to the original than

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Sagala, Albert, Suprianto Hutapea, Rondy Sinaga, and Ramot Lubis. "Implementing interoperable multi-gateway LoRaWAN for efficient maritime tracking systems." EUREKA: Physics and Engineering, no. 3 (May 27, 2024): 159–68. http://dx.doi.org/10.21303/2461-4262.2024.003138.

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Determining the precise location of a ship navigating on a lake is of utmost importance for various logistical and safety reasons. However, this task can become particularly challenging when operating in regions with limited or no access to the Internet. Fortunately, advancements in technology, specifically the Internet of Things (IoT) utilizing Low Power Wide Area Network (LPWAN) technology, have offered a robust solution to address this issue. LPWAN technology enables long-range data transmission without being reliant on traditional internet connectivity. In the context of our research, a Lo

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Researcher. "BLOCKCHAIN FOR SECURE AND INTEROPERABLE HEALTH DATA EXCHANGE." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 15, no. 6 (2024): 1191–204. https://doi.org/10.5281/zenodo.14354259.

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This paper explores the novel application of blockchain technology for enhancing security and interoperability in healthcare data exchange, aligning closely with current advancements and demands in healthcare technology and secure digital systems. Blockchain’s decentralized and immutable ledger offers a transformative solution to pressing issues in healthcare data management by ensuring robust data privacy, real-time interoperability, and patient autonomy across diverse health information systems. Unlike traditional centralized approaches, blockchain enables secure, auditable, and patien

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Reegu, Faheem Ahmad, Hafiza Abas, Zaid Hakami, et al. "Systematic Assessment of the Interoperability Requirements and Challenges of Secure Blockchain-Based Electronic Health Records." Security and Communication Networks 2022 (July 21, 2022): 1–12. http://dx.doi.org/10.1155/2022/1953723.

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A peer-to-peer (P2P) decentralized information-sharing network is used to share data and maintain security, privacy, and integrity standards called blockchain. In this case, information sharing and updating require regular simplification. The presented systematic review mainly focuses on the interoperability of electronic health records (EHRs) using blockchain. Correspondingly, 18 blockchain-based solutions were selected to address the interoperability challenges of EHRs. The limitation of solutions includes reliability, privacy, integrity, sharing, and standards. This systematic review contai

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Pohlmeyer, Florian, Christian Möbitz, and Thomas Gries. "A Sovereign and Interoperable Data Ecosystem for an Eco-Efficient Nonwovens Industry." Sustainability 16, no. 23 (2024): 10735. https://doi.org/10.3390/su162310735.

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This study addresses the need for enhanced sustainability in the nonwovens industry by developing a data ecosystem that improves data transparency, interoperability, and decision-making across the value chain. The research focuses on two conceptual models, including the Digital Product Passport (DPP) for tracking sustainability information and a holistic data management system for production environments. The research involved identifying key stakeholders, their tasks, and challenges related to sustainability and applying digital tools to meet these needs. The results demonstrate that integrat

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Alqahtani, Ali, Surbhi Bhatia Khan, Jarallah Alqahtani, Sultan AlYami, and Fayez Alfayez. "Sentiment Analysis of Semantically Interoperable Social Media Platforms Using Computational Intelligence Techniques." Applied Sciences 13, no. 13 (2023): 7599. http://dx.doi.org/10.3390/app13137599.

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Competitive intelligence in social media analytics has significantly influenced behavioral finance worldwide in recent years; it is continuously emerging with a high growth rate of unpredicted variables per week. Several surveys in this large field have proved how social media involvement has made a trackless network using machine learning techniques through web applications and Android modes using interoperability. This article proposes an improved social media sentiment analytics technique to predict the individual state of mind of social media users and the ability of users to resist profou

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Singh, Prashant. "Implementing End-to-End Traceability in Cloud-Native FinTech Workflows." Journal of Software Engineering and Simulation 11, no. 1 (2025): 45–52. https://doi.org/10.35629/3795-11014552.

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The financial technology (FinTech) sector has been revolutionized by adopting cloud-native architectures that enable scalable, resilient, and lean service delivery. But traceability challenges are all the more acute because the very architecture of microservices, containerized workloads, and distributed systems in cloud-native environments adds so much complexity to the mix. In FinTech workflows that have compliance, data lineage, and operational transparency requirements, it is essential to establish a traceable end-to-end process. This paper investigates the systematic introduction of tracea

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Khor, Jing Huey, Michail Sidorov, and Seri Aathira Balqis Zulqarnain. "Scalable Lightweight Protocol for Interoperable Public Blockchain-Based Supply Chain Ownership Management." Sensors 23, no. 7 (2023): 3433. http://dx.doi.org/10.3390/s23073433.

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Scalability prevents public blockchains from being widely adopted for Internet of Things (IoT) applications such as supply chain management. Several existing solutions focus on increasing the transaction count, but none of them address scalability challenges introduced by resource-constrained IoT device integration with these blockchains, especially for the purpose of supply chain ownership management. Thus, this paper solves the issue by proposing a scalable public blockchain-based protocol for the interoperable ownership transfer of tagged goods, suitable for use with resource-constrained Io

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Tokunbo Olugbemi, Gilbert Isaac, Lawani Raymond Isi, Elemele Ogu, and Olumide Akindele Owulade. "Material Tracking and Fabrication Sequencing Models for Multisite Construction Coordination and Efficiency." International Journal of Social Science Exceptional Research 2, no. 1 (2023): 222–30. https://doi.org/10.54660/ijsser.2023.2.1.222-230.

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Multisite construction projects are inherently complex, requiring meticulous coordination of materials, labor, and fabrication activities across geographically dispersed locations. This paper explores the evolution, theoretical underpinnings, and practical applications of material tracking and fabrication sequencing models designed to enhance coordination and operational efficiency in such environments. Through an examination of traditional and digital tracking technologies—including RFID, GPS, and BIM-integrated systems—the study highlights how digital transformation is reshaping material log

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Piétron, Dominik, Philipp Staab, and Florian Hofmann. "Digital circular ecosystems: A data governance approach." GAIA - Ecological Perspectives for Science and Society 32, no. 1 (2023): 40–46. http://dx.doi.org/10.14512/gaia.32.s1.7.

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Strategic product data management fosters circular ecosystems that reduce carbon emissions and resource consumption. To this end, legal frameworks are needed to set standards for systematic product transparency and interoperable tracking of materials. Analyzing the EU’s Digital Product Passport (DPP), we propose the creation of publicly coordinated product data platforms to complement DPPs.The growing research interest in digital product passports (DPP) and circular economy platforms portends an ecological economic transformation that will require improved strategic product data governance. Us

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Samuel, Sheeba, and Birgitta König-Ries. "A collaborative semantic-based provenance management platform for reproducibility." PeerJ Computer Science 8 (March 10, 2022): e921. http://dx.doi.org/10.7717/peerj-cs.921.

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Scientific data management plays a key role in the reproducibility of scientific results. To reproduce results, not only the results but also the data and steps of scientific experiments must be made findable, accessible, interoperable, and reusable. Tracking, managing, describing, and visualizing provenance helps in the understandability, reproducibility, and reuse of experiments for the scientific community. Current systems lack a link between the data, steps, and results from the computational and non-computational processes of an experiment. Such a link, however, is vital for the reproduci

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Prakosa, Hendri Kurniawan, Hasan Nurul Ibad, and Saiful Anwar. "Prototype for Implementing Data Exchange with The FHIR-HL7 Standard in The Personal Health Record Application." Intechno Journal (Information Technology Journal) 6, no. 2 (2024): 122–29. https://doi.org/10.24076/intechnojournal.2024v6i2.1902.

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Monitoring health is essential for early disease detection, prevention, and managing chronic conditions. Active tracking empowers patients to make informed decisions and adhere to treatments, improving outcomes. However, fragmented medical records across facilities can lead to incomplete information. Integrating records through interoperable systems provides patients and providers with a comprehensive health overview, ensuring continuity, reducing redundancies, and enhancing collaboration. Centralized health data enables better monitoring for patients and more personalized, efficient care from

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Amunts, Katrin, Hartmut Mohlberg, Sebastian Bludau, and Karl Zilles. "Julich-Brain: A 3D probabilistic atlas of the human brain’s cytoarchitecture." Science 369, no. 6506 (2020): 988–92. http://dx.doi.org/10.1126/science.abb4588.

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Cytoarchitecture is a basic principle of microstructural brain parcellation. We introduce Julich-Brain, a three-dimensional atlas containing cytoarchitectonic maps of cortical areas and subcortical nuclei. The atlas is probabilistic, which enables it to account for variations between individual brains. Building such an atlas was highly data- and labor-intensive and required the development of nested, interdependent workflows for detecting borders between brain areas, data processing, provenance tracking, and flexible execution of processing chains to handle large amounts of data at different s

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Frey, Katie, Sarah Weissman, Barbara Kern, Jill Lagerstrom, Josh Peek, and Alberto Accomazzi. "Managing Contributions to the Unified Astronomy Thesaurus." EPJ Web of Conferences 186 (2018): 09003. http://dx.doi.org/10.1051/epjconf/201818609003.

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The Unified Astronomy Thesaurus (UAT) project managers have long defined the UAT as "an open, interoperable, and community-supported thesaurus." How do we solicit the detailed, comprehensive, and consistent community feedback that is required to keep the UAT relevant? The Steering Committee for the UAT has developed a visual organizational tool that lets reviewers suggest new concepts and restructure the existing hierarchy. Researchers and librarians can use this "Sorting Tool" to submit contributions and feedback to the UAT. The UAT Curator adds feedback to the UAT’s GitHub Issues, which allo

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Yang, Chen, Dana Hawwash, Bernard De Baets, Jildau Bouwman, and Carl Lachat. "Perspective: Towards Automated Tracking of Content and Evidence Appraisal of Nutrition Research." Advances in Nutrition 11, no. 5 (2020): 1079–88. http://dx.doi.org/10.1093/advances/nmaa057.

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ABSTRACT Robust recommendations for healthy diets and nutrition require careful synthesis of available evidence. Given the increasing volume of research articles generated, the retrieval and synthesis of evidence are increasingly becoming laborious and time-consuming. Information technology could help to reduce workload for humans. To guide supervised learning however, human identification of key study characteristics is necessary. Reporting guidelines recommend that authors include essential content in articles and could generate manually labeled training data for automated evidence retrieval

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Fathalla, Efat, and Mohamed Azab. "Decentralized Trace-Resistant Self-Sovereign Service Provisioning for Next-Generation Federated Wireless Networks." Information 16, no. 3 (2025): 159. https://doi.org/10.3390/info16030159.

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With the advent of NextG wireless networks, the reliance on centralized identity and service management systems poses significant challenges, including limited interoperability, increased privacy vulnerabilities, and the risk of unauthorized tracking or monitoring of user activity. To address these issues, there is a critical need for a decentralized framework that empowers users with self-sovereignty over their subscription information while maintaining trust and privacy among network entities. This article presents a novel framework to enable Self-Sovereign Federated NextG (SSFXG) wireless c

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Woods, Sasha Marie, Maria Daskolia, Alexis Joly, et al. "How Networks of Citizen Observatories Can Increase the Quality and Quantity of Citizen-Science-Generated Data Used to Monitor SDG Indicators." Sustainability 14, no. 7 (2022): 4078. http://dx.doi.org/10.3390/su14074078.

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There is a growing acknowledgement that citizen observatories, and other forms of citizen-generated data, have a significant role in tracking progress towards the Sustainable Development Goals. This is evident in the increasing number of Sustainable Development Goals’ indicators for which such data are already being used and in the high-level recognition of the potential role that citizen science can play. In this article, we argue that networks of citizen observatories will help realise this potential. Drawing on the Cos4Cloud project as an example, we highlight how such networks can make cit

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Chawla, Simmi, Dr Parul Tomar, and Dr Sapna Gambhir. "Smart Education: A Proposed IoT based Interoperable Architecture to Make Real Time Decisions in Higher Education." Revista Gestão Inovação e Tecnologias 11, no. 4 (2021): 5643–58. http://dx.doi.org/10.47059/revistageintec.v11i4.2589.

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Smart education is a idea that defines studying in the digital age, has received growing interest that allows leading generation in instructional establishments. The purpose is to promote inclusive knowledge to cope with the various needs of students, via the use of latest information and communique technology. IoT in lecturers is a brand new revolution to the internet era which added “Smartness” in the whole IT infrastructure. IoT guarantees to equip college students with 21st century digital abilities and Universities ought to adapt computerized approaches which can help to beautify producti

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Park, Pil Seong, and Soo Mi Yang. "A Flexible and Scalable Cooperative Surveillance Technique Using Integrated Ontology Reasoning." Applied Mechanics and Materials 284-287 (January 2013): 3246–50. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.3246.

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In large-scale smart camera networks, cooperation among devices is required for continuous tracking of targets and higher level reasoning. A large amount of multimedia data with derived metadata is generated and transferred among devices. In this paper, we design a large-scale surveillance system which consists of smart cameras. It complies with the standard specification to ensure interoperability among cameras and flexibility regarding integration of new devices and services. Surveillance data contained in them is integrated and structured according to the ontology, and useful context inform

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Brauer, Anna, Ville Mäkinen, and Juha Oksanen. "Human mobility tracks as FAIR data: Designing a privacy-preserving repository for GNSS-based activity tracking data." AGILE: GIScience Series 4 (June 6, 2023): 1–7. http://dx.doi.org/10.5194/agile-giss-4-21-2023.

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Abstract. Devices with integrated global navigation satellite system (GNSS) receivers have enabled citizens to accurately record activities such as bicycle trips, runs, and walks. Due to its spatiotemporal extent and high level of detail, GNSS-based activity tracking data is a valuable source of information on active modes of transportation. At the same time, movement recordings of individuals are sensitive data and are associated with privacy concerns. In this work, we present a privacy-aware platform where citizens can contribute GNSS tracks to an open repository. The repository is published

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Seminog, Olena, Rodrigo Furst, Thomas Mendy, et al. "A protocol for a living mapping review of global research funding for infectious diseases with a pandemic potential – PANDEMIC PACT." Wellcome Open Research 9 (March 19, 2024): 156. http://dx.doi.org/10.12688/wellcomeopenres.21202.1.

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The COVID CIRCLE initiative Research Project Tracker by UKCDR and GloPID-R and associated living mapping review (LMR) showed the importance of sharing and analysing data on research at the point of funding to improve coordination during a pandemic. This approach can also help with research preparedness for outbreaks and hence our new programme the Pandemic Preparedness: Analytical Capacity and Funding Tracking Programme (Pandemic PACT) has been established. The LMR described in this protocol will provide an open, accessible, near-real-time overview of the funding landscape for a wide range of

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O’Malley, Ann S., Kevin Draper, Rebecca Gourevitch, Dori A. Cross, and Sarah Hudson Scholle. "Electronic health records and support for primary care teamwork." Journal of the American Medical Informatics Association 22, no. 2 (2015): 426–34. http://dx.doi.org/10.1093/jamia/ocu029.

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Abstract Objective Consensus that enhanced teamwork is necessary for efficient and effective primary care delivery is growing. We sought to identify how electronic health records (EHRs) facilitate and pose challenges to primary care teams as well as how practices are overcoming these challenges. Methods Practices in this qualitative study were selected from those recognized as patient-centered medical homes via the National Committee for Quality Assurance 2011 tool, which included a section on practice teamwork. We interviewed 63 respondents, ranging from physicians to front-desk staff, from 2

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Chen Kuang Piao, Yonni, Naser Ezzati-jivan, and Michel R. Dagenais. "Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization." Sensors 21, no. 16 (2021): 5560. http://dx.doi.org/10.3390/s21165560.

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Integrated development environments (IDEs) provide many useful tools such as a code editor, a compiler, and a debugger for creating software. These tools are highly sophisticated, and their development requires a significant effort. Traditionally, an IDE supports different programming languages via plugins that are not usually reusable in other IDEs. Given the high complexity and constant evolution of popular programming languages, such as C++ and even Java, the effort to update those plugins has become unbearable. Thus, recent work aims to modularize IDEs and reuse the existing parser impleme

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Mercier, Julien, Nicolas Chabloz, Gregory Dozot, Olivier Ertz, Erwan Bocher, and Daniel Rappo. "BiodivAR: A Cartographic Authoring Tool for the Visualization of Geolocated Media in Augmented Reality." ISPRS International Journal of Geo-Information 12, no. 2 (2023): 61. http://dx.doi.org/10.3390/ijgi12020061.

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Location-based augmented reality technology for real-world, outdoor experiences is rapidly gaining in popularity in a variety of fields such as engineering, education, and gaming. By anchoring medias to geographic coordinates, it is possible to design immersive experiences remotely, without necessitating an in-depth knowledge of the context. However, the creation of such experiences typically requires complex programming tools that are beyond the reach of mainstream users. We introduce BiodivAR, a web cartographic tool for the authoring of location-based AR experiences. Developed using a user-

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Mohanadas, Sadhasivam. "The Intelligent Continuum: AI’s Impact on Remote Health Monitoring." International Journal of Computing and Engineering 7, no. 2 (2025): 51–68. https://doi.org/10.47941/ijce.2633.

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Purpose: This research investigates Artificial Intelligence (AI) technology for Remote Patient Monitoring (RPM) systems, specifically focusing on the continuous monitoring of chronic diseases. The research addresses the crucial issue of prompt patient care through the implementation of intelligent automated systems. Methodology: The research combines deep learning models with federated learning frameworks to support ongoing health data tracking from wearable devices. Real-time physiological signal processing is achieved through decentralized data processing, ensuring patient privacy. The resea

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Fuchs, Bruno, and Philip Heesen. "Data-Driven Defragmentation: Achieving Value-Based Sarcoma and Rare Cancer Care Through Integrated Care Pathway Mapping." Journal of Personalized Medicine 15, no. 5 (2025): 203. https://doi.org/10.3390/jpm15050203.

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Sarcomas, a rare and complex group of cancers, require multidisciplinary care across multiple healthcare settings, often leading to delays, redundant testing, and fragmented data. This fragmented care landscape obstructs the implementation of Value-Based Healthcare (VBHC), where care efficiency is tied to measurable patient outcomes.ShapeHub, an interoperable digital platform, aims to streamline sarcoma care by centralizing patient data across providers, akin to a logistics system tracking an item through each stage of delivery. ShapeHub integrates diagnostics, treatment records, and specialis

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Uchenna, Uzoma Akobundu, and C. Igboanugo Juliet. "ENHANCING EQUITABLE ACCESS TO ESSENTIAL MEDICINES THROUGH INTEGRATED SUPPLY CHAIN DIGITIZATION AND HEALTH OUTCOMESBASED RESOURCE ALLOCATION MODELS: A SYSTEMS-LEVEL PUBLIC HEALTH APPROACH." International Journal Of Engineering Technology Research & Management (IJETRM) 05, no. 08 (2021): 159–77. https://doi.org/10.5281/zenodo.15593726.

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Equitable access to essential medicines remains a persistent global health challenge, disproportionately affectinglow- and middle-income countries where fragmented supply chains and misaligned resource allocationmechanisms hinder timely and affordable delivery. This paper presents a systems-level public health approachthat leverages integrated supply chain digitization alongside health outcomes-based resource allocation models toclose access gaps and improve health equity. Beginning with a macro-level analysis, the study explores how digitaltransformation—including end-to-end visibility,

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Jain, Aditya Sushant. "Decoding consent managers under the Digital Personal Data Protection Act, 2023 : Empowerment architecture, business models and incentive alignment." Journal of Data Protection & Privacy 7, no. 4 (2025): 406. https://doi.org/10.69554/mhlp2916.

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The Digital Personal Data Protection Act, 2023 (DPDP Act) represents a pivotal shift in India’s data governance framework, emphasising consent as the foundation of personal data processing. Within this landscape, consent managers emerge as critical intermediaries, addressing structural inefficiencies in data sharing, mitigating consent fatigue and enabling data portability. While earlier conceptualisations, such as Justice Srikrishna’s ‘dashboard model’, envisioned consent managers as passive facilitators of consent tracking, the Data Empowerment and Protection Architecture (DEPA) framework ex

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Badker, Rinette, Kierste Miller, Chris Pardee, et al. "Challenges in reported COVID-19 data: best practices and recommendations for future epidemics." BMJ Global Health 6, no. 5 (2021): e005542. http://dx.doi.org/10.1136/bmjgh-2021-005542.

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The proliferation of composite data sources tracking the COVID-19 pandemic emphasises the need for such databases during large-scale infectious disease events as well as the potential pitfalls due to the challenges of combining disparate data sources. Multiple organisations have attempted to standardise the compilation of disparate data from multiple sources during the COVID-19 pandemic. However, each composite data source can use a different approach to compile data and address data issues with varying results.We discuss some best practices for researchers endeavouring to create such compilat

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Navale, Vivek, and Matthew McAuliffe. "Long-term preservation of biomedical research data." F1000Research 7 (August 29, 2018): 1353. http://dx.doi.org/10.12688/f1000research.16015.1.

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Genomics and molecular imaging, along with clinical and translational research have transformed biomedical science into a data-intensive scientific endeavor. For researchers to benefit from Big Data sets, developing long-term biomedical digital data preservation strategy is very important. In this opinion article, we discuss specific actions that researchers and institutions can take to make research data a continued resource even after research projects have reached the end of their lifecycle. The actions involve utilizing an Open Archival Information System model comprised of six functional

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Pham Do, Minh Sang, Ketoma Vix Kemanji, Man Dinh Vinh Nguyen, Tuan Anh Vu, and Gerrit Meixner. "The Action Point Angle of Sight: A Traffic Generation Method for Driving Simulation, as a Small Step to Safe, Sustainable and Smart Cities." Sustainability 15, no. 12 (2023): 9642. http://dx.doi.org/10.3390/su15129642.

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Computer simulations of traffic and driving provide essential solutions to reduce risk and cost in traffic-related studies and research. Through nearly 90 years of simulation development, many research projects have attempted to improve the various aspects of realism through the use of traffic theory, cameras, eye-tracking devices, sensors, etc. However, the previous studies still present limitations, such as not being able to simulate mixed and chaotic traffic flows, as well as limited integration/interoperability with 3D driving simulators. Thus, instead of reusing previous traffic simulator

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Dowaidar, Moataz. "NANOBIOSENSING WITH TARGET AMPLIFICATION, AND NANOSWIMMERS CAN BE CONTROLLED BY MAGNETIC FIELDS AND FACILITATE GENE THERAPY AND NANOMEDICINE APPLICATIONS." JOURNAL OF AERONAUTICAL MATERIALS 43, no. 1 (2023): 732–56. https://doi.org/10.5281/zenodo.8162472.

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Nanobiosensing with target amplification is one such example. In this scenario, "activator" nanoparticles stimulate the target location, such as a tumor, resulting in spatial amplification of a tumor-triggered phenomenon-of-interest (POI). The typical targeting approach, which relies on the human vascular system to transport nanoparticles, is inefficient and is considered a brute-force search from a computing standpoint. By evaluating the observable properties of these nanoswimmers, which are controlled by magnetic fields created by electromagnetic coils, an external tracking system

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Dillen, Mathias, and Maarten Trekels. "DoeDat: Enhanced Roundtripping of Crowdsourced Specimen Annotations." Biodiversity Information Science and Standards 8 (September 25, 2024): e137827. https://doi.org/10.3897/biss.8.137827.

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The DoeDat platform was launched by Meise Botanic Garden in 2018 to capture label data from imaged herbarium specimens by inviting volunteer contributors (Groom et al. 2018). It has since facilitated data capture from specimens of other natural history collections (Helminger et al. 2020, Mitrache et al. 2023), as well as digitised content from various other disciplines, such as historical photographs, posters and postcards. Volunteers may simply transcribe handwritten and/or typed text, but often also interpret the sparse and scattered information on the image, including trying to georeference

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Addink, Wouter, and Niki Kyriakopoulou. "Connecting the Dots: Joint development of best practices between infrastructures in support of bidirectional data linking." Biodiversity Information Science and Standards 6 (August 23, 2022): e91428. https://doi.org/10.3897/biss.6.91428.

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Working together is key in terms of knowledge exchange and in the Biodiversity Community Integrated Knowledge Library project (BiCIKL), infrastructures involved in the biodiversity data landscape are working together to connect data from their different but related data domains. This will be key to connecting the dots towards the development of global collections and global specimen networks in line with e.g., the Extended Specimens Network (Lendemer et al. 2019), which describes a strategy to enhance US biodiversity collections and promote research and education by enabling seamless data inte

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Kissling, W. Daniel. "Bridging ecological concepts, policy needs, data science and digital innovation with Essential Biodiversity Variables (EBVs)." ARPHA Conference Abstracts 8 (May 28, 2025): e151515. https://doi.org/10.3897/aca.8.e151515.

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The concept of Essential Biodiversity Variables (EBVs) for monitoring changes in biodiversity and tracking policy goals has substantially advanced in the last decade. I synthesize crucial information for developing an integrated European-wide biodiversity monitoring framework using EBVs to better inform environmental policies. This includes an overview of which EBVs have been prioritized for a modern and efficient European biodiversity observation network (Junker et al. 2023) and how these EBVs link to the EU policy framework and to different types of monitoring methods (Kissling et al. 2024).

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Hammock, Jennifer, and Katja Schulz. "Trait Data Integration from the Perspective of a Data Aggregator." Biodiversity Information Science and Standards 3 (August 20, 2019): e38411. https://doi.org/10.3897/biss.3.38411.

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The Encyclopedia of Life currently hosts ~8M attribute records for ~400k taxa (March 2019, not including geographic categories, Fig. 1). Our aggregation priorities include Essential Biodiversity Variables (Kissling et al. 2018) and other global scale research data priorities. Our primary strategy remains partnership with specialist open data aggregators; we are also developing tools for the deployment of evolutionarily conserved attribute values that scale quickly for global taxonomic coverage, for instance: tissue mineralization type (aragonite, calcite, silica...); trophic guild in certain c

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Drucker, Debora, José Salim, Jorrit Poelen, and Filipi Soares. "Collectively Working towards Plant-Pollinator Interactions Data Interoperability and Reuse: Lessons Learned from the WorldFAIR Project." Biodiversity Information Science and Standards 8 (November 6, 2024): e141109. https://doi.org/10.3897/biss.8.141109.

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The WorldFAIR project worked with eleven case studies to advance the implementation of the FAIR data principles (Findable, Accessible, Interoperable, and Reusable; Wilkinson et al. 2016). The Case Study on Agricultural Biodiversity (Drucker et al. 2022) addressed the challenges of advancing interoperability and mobilizing plant-pollinator interaction data for reuse. In the first phase of the project we performed a landscape analysis and found that a significant amount of data on plant-pollinator interaction was available as supplementary files of research articles, in a range of formats such a

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Ferry, Eugene, John O Raw, and Kevin Curran. "Security evaluation of the OAuth 2.0 framework." Information & Computer Security 23, no. 1 (2015): 73–101. http://dx.doi.org/10.1108/ics-12-2013-0089.

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Purpose – The interoperability of cloud data between web applications and mobile devices has vastly improved over recent years. The popularity of social media, smartphones and cloud-based web services have contributed to the level of integration that can be achieved between applications. This paper investigates the potential security issues of OAuth, an authorisation framework for granting third-party applications revocable access to user data. OAuth has rapidly become an interim de facto standard for protecting access to web API data. Vendors have implemented OAuth before the open standard wa

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