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Results for "doi"
Identifiers
15
Food-based indexes and their association with dietary inflammation
Chronic inflammation is associated with an increased risk of noncommunicable diseases, prompting an intensified interest in the diet-disease relationship for modulating inflammati…
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Beyond Traditional Body Composition Metrics: Load-Capacity Indices Emerge as Predictors of Cardiometabolic Outcomes—A Systematic Review and Meta-Analysis
The adaptive and independent interrelationships between different body composition components have been identified as crucial determinants of disease risk. On the basis of this co…
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Seafood Toxicant Exposure During Pregnancy, Lactation, and Childhood and Child Outcomes: A Scoping Review
Increasing prevalence of childhood obesity has emerged as a critical global public health concern. Recent studies have challenged the previous belief that obesity was solely a res…
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Sysmon event logs for machine learning-based malware detection
Malware poses a significant threat to modern computing environments, necessitating advanced detection techniques that can adapt to evolving attack methods. This study focuses on d…
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Neural secret key enabled secure cloud storage with efficient packet checker algorithm
This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/policies/article-withdrawal).
This article has been retracted at…
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A Secure Deepfake Mitigation Framework: Architecture, Issues, Challenges, and Societal Impact
Deepfake refers to synthetic media generated through artificial intelligence (AI) techniques. It involves creating or altering video, audio, or images to make them appear as thoug…
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Enhancing intrusion detection systems through dimensionality reduction: A comparative study of machine learning techniques for cyber security
Our research aims to improve automated intrusion detection by developing a highly accurate classifier with minimal false alarms. The motivation behind our work is to tackle the ch…
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Security analysis of cyber physical system using digital forensic incident response
There is a great demand for an efficient security tool which can secure IIoT systems from potential adversarial attacks. However, it is challenging to design a suitable security m…
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E-Brightpass: A Secure way to access social networks on smartphones
Social network providers offer a variety of entertainment services in exchange for end users’ personal information, such as their identity. The majority of users access social net…
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Efficient time-oriented latency-based secure data encryption for cloud storage
To ensure data security in the cloud, there exist several techniques proposed by various researchers. The most common method is the usage of data encryption techniques like profil…
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Unleashing the power of IoT: Transdisciplinary pathways for digital transformation
In this editorial on the Digital Business Special Issue “Unleashing the Power of IoT: Transforming Business Models, Fueling Innovation, and Navigating Digital Ecosystems,” we set …
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The socio-technical adoption and diffusion of digital health innovations: The development of the STAD-HC model based on telemedicine in Germany
Digital and telemedicine innovations are increasingly central to healthcare transformation, yet their adoption and diffusion remain complex. While the Diffusion of Innovations (DO…
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Coexistence of Hyalinizing Trabecular Tumor and Papillary Thyroid Carcinoma: A Diagnostic Challenge
Background/Objective
Hyalinizing trabecular tumor (HTT) of the thyroid is an uncommon follicular cell–derived neoplasm. Histologically, it shares several nuclear features with pa…
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School Improvement Support and Teacher Motivation: Exploring Connections
This study explores the relationship between school improvement support and teacher motivation through a systematic review of recent empirical and theoretical literature. School i…
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Fishing Activities and Academic Life of Junior High School Students at APAM in the Central Region of Ghana
This study assessed how students combine academic work with fishing activities. The main objective was to investigate how fishing activities affect students’ education and how it …
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Pages & Guides
20
The Metascholar Digital Object Infrastructure (MDOI) Foundation (MDOI) is a persistent identification system developed to uniquely identify, manage, and resolve digital objects ac…
The mission of the MDOI system is to provide a reliable, accessible, and sustainable infrastructure for the persistent identification and management of digital objects. It seeks t…
The vision of the MDOI system is to become a globally recognised and trusted framework for persistent digital identification, supporting an inclusive and interoperable knowledge e…
The primary purpose of the MDOI system is to address the challenges associated with digital object identification, particularly issues related to link decay, inconsistent referenc…
The MDOI system is characterised by several key features that establish it as a robust and scalable identifier infrastructure. These include:Persistent identification — guarantees…
MDOIs are designed to be applicable across a broad spectrum of digital and knowledge-based assets. These include, but are not limited to:Journal articles and conference papersRese…
The MDOI system operates through an integrated architecture that connects identifier generation, metadata management, and resolution services. Upon registration, a unique identifi…
The adoption of MDOI provides significant benefits for both individuals and organisations:Enhanced visibility and discoverability of digital objects across global platforms.Accura…
Within the broader scholarly ecosystem, MDOI complements existing identifier systems by offering a more accessible, flexible, and user-centred approach to persistent identificatio…
The MDOI system is designed to evolve in response to technological advancements and the changing needs of the global research community. Future developments include:Enhanced inter…
The MDOI system operates within a structured governance and institutional framework designed to ensure accountability, transparency, and long-term sustainability. Oversight is pro…
The MDOI system is developed with a strong emphasis on interoperability, enabling seamless integration with global research infrastructures, digital repositories, and information …
The MDOI system promotes ethical use and responsible data stewardship as core principles guiding the registration and management of digital objects. Users are expected to ensure t…
The Metascholar Digital Object Infrastructure (MDOI) Foundation (MDOI) is a persistent identification system designed to uniquely identify and reliably resolve digital objects suc…
MDOI identifiers follow a standardised and scalable syntax that guarantees global uniqueness, consistency, and interoperability across systems. Each identifier adopts the format:1…
The registration and deposit process within the MDOI system is designed to be efficient, transparent, and user-driven, enabling seamless integration into scholarly workflows.The M…
The MDOI dashboard provides a comprehensive environment for lifecycle management of registered records, allowing users to maintain accuracy, relevance, and traceability over time.…
The MDOI system incorporates a flexible visibility framework that enables users to control how their registered records are accessed and displayed, while maintaining the persisten…
Organisation accounts are designed to support institutional-level identifier management, providing scalable and structured control over multiple digital assets within a single adm…
Individual accounts are designed to support researchers, scholars, authors, and independent contributors who require direct and flexible access to the MDOI system for managing the…
Policies
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This Government and Public Sector Participation Policy establishes the framework governing the registration, management, verification, preservation, and use of digital records, pu…
This Accessibility and Inclusion Policy establishes the commitment of the MDOI Foundation to providing fair, inclusive, accessible, and user-friendly digital services for all indi…
This Verification and Trust Framework Policy establishes the principles, procedures, standards, and governance mechanisms used by the MDOI Foundation to verify users, organisation…
This Business Continuity and Disaster Recovery Policy establishes the framework for maintaining critical MDOI services during disruptions and restoring operations following incide…
This Content Moderation and Misuse Policy establishes the rules for reviewing, managing, restricting, correcting, suspending, or removing content, metadata, identifiers, files, li…
This Governance and Ethics Policy establishes the principles, structures, responsibilities, and ethical standards that guide the operation, management, decision-making, and commun…
This API Usage Policy governs access to and use of the MDOI Foundation’s Application Programming Interfaces (APIs). The APIs are provided to support secure integration, identifier…
This Identifier Resolution Policy governs how Metascholar Digital Object Identifiers (MDOIs) are resolved, maintained, monitored, updated, and preserved within the MDOI Foundation…
This Privacy and Data Protection Policy explains how the MDOI Foundation collects, uses, stores, protects, processes, and shares personal, organisational, and metadata-related inf…
This metadata policy governs the creation, submission, validation, management, updating, and preservation of metadata within the Metascholar Digital Object Identifier (MDOI) syste…
The MDOI Membership Terms and Conditions establish the rights, responsibilities, and obligations of individuals and organisations participating in the MDOI ecosystem. They define …
The MDOI Metadata Schema provides a standardized framework for describing, managing, and resolving digital objects within the MDOI system. It defines core, descriptive, administra…
Welcome to MDOI (Metascholar Digital Object Identifier), governed by the MDOI Foundation. By accessing or using this platform, you agree to comply with these Terms of Use and all …
This policy governs the registration, management, and lifecycle of digital objects within
the MDOI system
FAQs
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An MDOI, meaning Metascholar Digital Object Infrastructure, is an independent persistent identifier and metadata system designed to give digital resources a stable, unique, and verifiable identity. I…
Institutions can trust MDOI because it is built around persistent identification, metadata governance, controlled registration, record updating, and long-term resource accessibility. Once an MDOI is …
Developers can connect MDOI to repositories, journal systems, research portals, and institutional platforms through APIs for identifier registration, metadata submission, record updates, resolution, …
MDOI is a not-for-profit Metascholar digital identifier infrastructure operated by Metascholar Limited and integrated within the Scholar Indexing Society ecosystem. It provides standardized digital i…
No. MDOI is an independent system and is not affiliated, endorsed, or governed by the DOI Foundation or any of its registration agencies. It operates under its own governance framework, infrastructur…
MDOI does not replace the DOI system. It is an alternative and independently developed identification framework designed to complement evolving digital and scholarly ecosystems, particularly in areas…
No. MDOI identifiers are distinct and independently generated under the MDOI system. They follow a different governance, structure, and operational model, and should not be confused with identifiers …
MDOI was developed to address emerging gaps in digital identification, including accessibility, interoperability, and adaptability to modern technologies. It aims to provide a more inclusive and scal…
MDOI is governed by Metascholar Limited, with integration support from the Scholar Indexing Society. It operates under defined governance policies, compliance procedures, and ISO-aligned standards to…
Yes. MDOI is designed in alignment with recognized international best practices, including ISO/IEC 27001 principles for information security, ensuring the confidentiality, integrity, and availability…
Yes. MDOI identifiers are designed to support citation, referencing, and persistent access to digital content within the MDOI ecosystem and compatible platforms.
Yes. The MDOI name, framework, and associated technologies are protected under applicable trademark, copyright, and intellectual property laws. Unauthorized use or imitation is prohibited.
MDOI maintains clear branding, independent governance, and distinct technical structures. All communications, identifiers, and documentation explicitly state that MDOI is a separate system, ensuring …
Both individual users such as researchers and authors, and organisational users like universities, journals, and research institutions can register and manage identifiers.
To get an MDOI, you simply create an account, access your dashboard, deposit an item with its metadata, and the system automatically assigns a unique identifier instantly.
Yes, there is a small monthly maintenance contribution for individual users and organisational users to support system sustainability.
MDOIs can be assigned to a wide range of items including research papers, datasets, theses, software, institutional records, and even learning materials.
Immediately after submission, the system generates a unique MDOI, assigns a verification badge, and links the item to its metadata record.
The verification badge is a trust indicator showing that the item has been successfully registered within the MDOI system and is under active management.
No, the identifier remains unchanged. The system simply updates the associated metadata to reflect the new location.