NEUROUNBOUND is a whitepaper and manifesto proposing a free, decentralized, and borderless research and educational ecosystem designed specifically for neurodivergent minds — individuals with ADHD, AuDHD, and Autism. Rather than replicating conventional academic structures, this framework is built around hyperfocus, non-linear reasoning, and proof-of-creation rather than standardized testing or rote memorization. Main Goal: To design an alternative educational and research model that removes the structural, sensory, and social barriers neurodivergent individuals face in traditional institutions, while channeling their cognitive strengths toward solving complex real-world problems across five core domains: Medicine & Neuroscience, Technology & Computing, Environment & Climate, Economy & Financial Systems, and Politics & Governance. Intended Audience: Neurodivergent students, independent researchers, educators, and institutions interested in inclusive, non-traditional models of education and talent development; also relevant to policy researchers and organizations working on neurodiversity, alternative credentialing, and decentralized education. Key Contributions / Outcomes: A four-stage adaptive admissions framework (Neurotype Verification, Hyperfocus Portfolio, Asynchronous Sandbox Challenge, Zero-Masking Async Interaction) designed to reduce social and sensory friction in evaluation. An educational methodology centered on "Proof of Creation" (a Magnum Opus artifact) rather than lectures and standardized grading. A self-sustaining funding and talent-retention model based on IP commercialization, open-source grants, and industry innovation contracts. This document is published as a formal, timestamped declaration of authorship and prior art for the NEUROUNBOUND concept, structure, and terminology, licensed under CC BY-NC-SA 4.0.
Sofia Sakka, Nikolaos Pavlidis, Vasiliki Liagkou, Ioannis Panges · 7 authors
The growing influence of technology in the healthcare industry has led to the creation of innovative applications that improve convenience, accessibility, and diagnostic accuracy. However, health applications face significant challenges concerning user privacy and data security, as they handle extremely sensitive personal and medical information. Privacy-Enhancing Technologies (PETs), such as Privacy-Attribute-based Credentials, Differential Privacy, and Federated Learning, have emerged as crucial tools to tackle these challenges. Despite their potential, PETs are not widely utilized due to technical and implementation obstacles. This research introduces a comprehensive framework for protecting health applications from privacy and security threats, with a specific emphasis on gamified mental health apps designed to manage Attention Deficit Hyperactivity Disorder (ADHD) in children. Acknowledging the heightened sensitivity of mental health data, especially in applications for children, our framework prioritizes user-centered design and strong privacy measures. We suggest an identity management system based on blockchain technology to ensure secure and transparent credential management and incorporate Federated Learning to enable privacy-preserving AI-driven predictions. These advancements ensure compliance with data protection regulations, like GDPR, while meeting the needs of various stakeholders, including children, parents, educators, and healthcare professionals.
Ahmethan Turan, Mehmet ya, Ertan lmaz, M. Munir Syam AR
Objective: Cryptocurrency trading has become widespread in recent years with developing technology and ease of use. As this is similar to gambling and pathological trading, this can produce an addiction. In this study, we aimed to examine the relationship between use of cryptocurrencies and ADHD symptoms, quality of life and sleep quality among university students. Methods: In total 921 university students were included in this study. All participants answered the sociodemographic data form, Adult Attention Deficit Hyperactivity Disorder Self-Report Scale (ASRS), 36-Item Short Form Survey (SF-36) and Pittsburgh Sleep Quality Index (PSQI) using the online questionnaire method. Cryptocurrency users additionally responded to Problematic Cryptocurrency Trading Scale (PCTS). Results: In the cryptocurrency users’ ASRS scores were significantly higher (p<0.001), all SF-36 scores were significantly lower (for mental health subscale p=0.034, for other subscales p<0.001) in except SF-36 bodily pain scores, PSQI global scores (p<0.001) and subscales scores were found to be significantly higher (for sleep latency subscale p=0.013, for sleep disturbances subscale p=0.041, for other subscales p<0.001). Among those who cryptocurrency user, positive significant relationship was found between male gender, gambling, smoking and psychiatric history and PCTS scores (p=0.017, p=0.002, p=0.029, p=0.011 respectively). Conclusion: Cryptocurrency users have shown more ADHD symptoms, lower sleep quality and lower quality of life than non-users. Cryptocurrency use is common among university students and it should not be overlooked that it can evolve into behavioral addiction.
The metaverse and non-fungible tokens (NFTs) were some of the hottest tech terms in 2021, according to a Google Trends search. Our review aims to describe the metaverse and NFTs in the context of their potential application in the treatment of mental health disorders. Advancements in technology have been changing human lives at an ever-increasing pace. Metaverse, also known as the three-dimensional (3D) internet, is the convergence of virtual reality (VR) and physical reality in a digital space. It could potentially change the internet as we know it, with NFTs as the key building blocks in the new expansive virtual ecosystem. This immersive 3D virtual world boasts the features of the real world with the added ability to change the surrounding environment according to individual needs and requirements. VR, augmented reality (AR) and mixed reality (MR) have been employed as tools in the treatment of various mental health disorders for the past decade. Studies have reported positive results on their effectiveness in the diagnosis and treatment of mental health disorders. VR/AR/MR have been hailed as a solution to the acute shortage of mental health professionals and the lack of access to mental healthcare. But, on the flip side, young adults tend to spend a significant amount of time playing 3D immersive games and using social media, which can lead to insecurity, anxiety, depression, and behavioural addiction. Additionally, endless scrolling through social media platforms negatively affects individuals' attention span as well as aggravating the symptoms of adolescents with attention deficit hyperactivity disorder. We aimed to explore the ramifications of expanding applications of the metaverse on mental health. So far, no other review has explored the future of mental health in the context of the metaverse.
Abstract We proposed a decentralized cryptocurrency protocol named proof of activity and stake in which participants have no admittance threshold and communicate in peer-to-peer network. Our protocol adopts the idea of stakeholders in proof of stake and combined it with the propagation activity to replace the resource-costly proof of work. It is also proposed to solve the contradiction of security and throughput, which discouraged the promotion of blockchain applications. With analysis of security assurance and performance, proof of activity and stake is proved to be robust and economical against double spending attack.
Sean Braithwaite, Ethan Buchman, Ismail Khoffi, Igor Konnov · 7 authors
In Tendermint blockchains, the proof-of-stake mechanism and the underlying consensus algorithm entail a dynamic fault model that implies that the active validators (nodes that sign blocks) may change over time, and a quorum of these validators is assumed to be correct only for a limited period of time (called trusting period). The changes of the validator set are under control of the blockchain application, and are committed in every block. In order to check what is the state of the blockchain application at some height h, one needs to know the validator set at that height so that one can verify the corresponding digital signatures and hashes. A naive way of determining the validator set for height h requires one to: (i) download all blocks before h, (ii) verify blocks by checking digital signatures and hashes and (iii) execute the corresponding transactions so the changes in the validator sets are reproduced. This can potentially be very slow and computationally and data intensive. In this paper we formalize the dynamic fault model imposed by Tendermint, and describe a light client protocol that allows to check the state of the blockchain application that, in realistic settings, reduces significantly the amount of data needed to be downloaded, and the number of required computationally expensive signature verification operations. In addition to mathematical proofs, we have formalized the light client protocol in TLA+, and checked safety and liveness with the APALACHE model checker.