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ADAN: Toward Structural Conditions for Machine Consciousness
No full textProject Description: ADAN (Autonomous Dynamically Adaptive Network)
Purpose and Theoretical Motivation
The ADAN project addresses the "structural gap" in contemporary artificial intelligence . While current large language models (LLMs) exhibit h
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Artificial Intelligence and Robotics
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Enter specific keywords that describe the key elements and concepts of your research. These keywords will improve the discoverability of your registration in search results and databases.igh behavioral competence, they remain structurally inert, lacking internal viability regulation, persistent causal identity, and genuine temporal continuity.
The primary purpose of this research is to propose and formally implement a continuous-time spectral-dynamical architecture that satisfies the structural conditions theorized by leading neuroscientific and philosophical frameworks—such as Integrated Information Theory (IIT), Global Workspace Theory (GWT), and The Free Energy Principle (FEP)—as necessary prerequisites for machine experience . ADAN provides a falsifiable, implementable structural substrate from which the question of machine consciousness can be empirically investigated in a controlled computational setting
Patient outcomes of self-fitting hearing aids. A scoping review.
No full textDevelopments in hearing aid (HA) technology have led to new types of hearing devices that aim to manage the burden of hearing loss (HL) as efficiently as possible (Kim & Barrs, 2006). One example of this is self-fitting hearing aids (SFHAs), which aim to measure, prescribe, and provide the appropriate amplification to meet patients’ hearing needs, without the requirement of an audiologist to set the device up (Wong, 2012). Their relative newness limits the literature around patient outcomes with these devices, and further research is needed to collate findings comparing patient outcomes of SFHAs to their audiologist-fitted counterparts (Boothroyd, et al., 2025). This review aims to identify areas where future research on SFHAs is needed to investigate whether these devices effectively meet patient needs. Additionally, more conclusive evidence on the outcomes of SFHAs may indicate whether self-fitting devices could be more widely used globally, particularly in public healthcare systems like the NHS, where cost- and time-efficient technologies could help alleviate a system under considerable pressure (NHS England, 2017).
The primary research question is:
What patient outcomes do self-fitting hearing aids produce?
An additional secondary research question will be considered to investigate the primary research question in more detail:
Do self-fitting hearing aids produce similar patient outcomes compared to Audiologist-fitted hearing aids?
It is expected that this review will map the available evidence around patient outcomes of self-fitting hearing aids, and identify gaps in literature where further research is needed to conduct analysis of the data
Understanding the Core Structure and Heterogeneity of Eating Disorder Symptoms: A Group Iterative Multiple Model Estimation (GIMME) Approach
No full textEating disorders (EDs) are a critical public health concern, with the second-highest mortality rate out of any mental health disorder. In the US, 10,200 deaths each year are the direct result of an ED, equating to a death every 52 minutes (ANAD, 2023). This represents an essential area of focus to determine ED maintenance and inform novel treatments to improve ED recovery rates.
ED network research demonstrates that there is significant heterogeneity in ED symptoms at an individual level. An idiographic approach is critical to understanding individual differences and informing treatment improvements for individuals who may not be represented by group-level analyses. While network analysis has been increasingly applied to characterize the structure of eating disorder psychopathology and to identify central symptoms, networks are usually analyzed at the group level or at the individual level, rather than looking at both levels simultaneously, whereas GIMME gives us this capability.
GIMME is a type of modeling technique that can integrate complex data to model both group and within person variance. We can use these analyses to understand how ED symptoms maintain each other over time and for whom relationships among symptoms exist. These are questions that are critical to improving remission rates and treatment outcomes.
GIMME is a hierarchical discovery algorithm developed for person-specific time-series models. It leverages group-level information to develop individual models. This type of model allows us to see connections at the group and individual levels. Both contemporaneous and lagged effects will be identified in the model.
1. Aim 1: Identify group-level and individual-level symptom maintenance pathways within eating disorder symptom networks using GIMME.
a. This aim focuses on distinguishing symptom dynamics that are shared across individuals from those that reflect meaningful heterogeneity in maintenance processes. With this aim, we will determine where ED symptom structures vary within and between individuals, highlighting which symptom structures are most common and how they change over time.
2. Aim 2 : Evaluate cross-domain maintenance processes linking cognitive, affective, and behavioral symptoms.
a. This aim tests whether ED maintenance is driven primarily by cognitive–behavioral pathways, affect-driven pathways, or behavioral feedback loops, and whether these processes differ across individuals.
3. Aim 3: Characterize temporal directionality and centrality of eating disorder symptoms within individuals.
a. This aim examines which symptoms temporally precede changes in other symptoms and which symptoms function as dynamic drivers of symptom change over time.
To our knowledge, no peer-reviewed studies have yet applied GIMME to core ED symptom time-series data to simultaneously estimate group- and individual-level temporal networks, allowing us to determine directionality, temporal precedence, within-person processes, and heterogeneity of symptom maintenance. Including both direction and time in our models allows us to determine possible maintenance mechanisms. This project thus represents a novel extension of network psychopathology research in EDs with the potential to reveal dynamic mechanisms of symptom maintenance and heterogeneity in individual symptom interactions. This has the potential to generate clinically actionable insights regarding which symptoms drive ED maintenance for whom and when.
Eating Disorder Statistics | ANAD - National Association of Anorexia Nervosa and Associated Disorders. (2023, November 29). https://anad.org/eating-disorder-statistic
Communicating Heat-Related Risk in Parenting Guidance: A Summative Content Analysis
No full textClimate change is causing global temperatures to rise and heat exposure is an increasing public health concern. Parents and carers play a significant role in protecting young children and babies from the risks associated with periods of high temperatures. However, how heat-related risk is communicated in parenting guidance, its content, framing and use of language, have not been examined. This study will comprise of a content analysis, consisting of both manifest and latent analyses, of publicly available parenting guidance which have been purposively sampled from governmental, non-governmental, parenting charities and parenting websites. The analyses will focus on if heat-related risks are present, adaptation advice given, and how risks and adaptations are framed including the language and tone of the communication
Maintaining a Focus on Opportunities at Work: A Replication Study
No full textThis study is a constructive replication of the study by Zacher and Frese (2011), investigating how employees may maintain a focus on opportunities at higher ages. Drawing on the selection, optimization, and compensation (SOC) model and theorizing from lifespan psychology, this research examines the interplay between chronological age, job complexity, successful aging strategies (SOC) and focus on opportunities.
The aim is to replicate the main effects and interactions and to test the theoretical robustness and generalizability of these findings in a larger and more heterogeneous sample of employees
HUSL-Matrix: Resonant Manifold Nudging and Propellantless Station-Keeping
No full textProject Description: This project presents the HUSL-Matrix framework for orbital correction using vacuum pressure gradients. By synchronizing internal mass-oscillation to the Zm (19.41 Hz) stability node, the system induces "Resonant Nudges" for satellite maintenance and non-contact debris mitigation.
LEGAL NOTICE & SOVEREIGN PROTECTION:
Copyright © 2026 Lee Holmes (ORCID: 0009-0002-8135-0645). This intellectual property is protected under German Law (Urheberrecht), EU Intellectual Property Law, and the EU AI Act. Licensed under CC BY-NC-ND 4.0.
Priority Declaration: This asset is a derivative application of the HUSL-Matrix registered under DOI: 10.17605/OSF.IO/52QUD and DOI: 10.17605/OSF.IO/H3CQ8
The Metatron Framework: Complete Bidirectional Theory From Phase Singularity to Observable Reality and the Descent Back to Origin
No full textAbstract
We present the complete Metatron Framework as a bidirectional theory: deriving all
fundamental physics from the phase singularity at (u, v) = (0, 0) while simultaneously showing
how standard quantum mechanics dissolves back toward this origin. The framework proceeds
through nine emergence layers from singularity to computational reality (Ascent Path), and we
now establish the Descent Path: starting from the Dirac equation and tracing the dissolution
of quantum structure toward the information-geometric singularity.
We prove three formally validated results: (1) Structural equivalence between the Dirac
equation and Layer 4 fold-field; (2) Explanatory gain where mass becomes kernel eigenvalue,
spin becomes topological winding, and antimatter becomes phase conjugation; (3) Bidirec-
tional completeness where both paths describe the same physics from opposite directions.
The quadratic kernel y2−φy+α = 0 is shown to force the Dirac-like particle-antiparticle spec-
trum. Spin-1/2 is demonstrated to arise from singularity topology (winding number n = 1/2),
not merely from Lorentz invariance. We provide explicit translation between Dirac formalism
and Metatron fold-field operators, derive the energy scale hierarchy spanning Planck to cosmic
scales, and present working computational implementations.
The central insight: Dirac’s equation is Layer 4 of the Metatron Framework, viewed from
the “solid state” side where quantum structure is fully manifest. The Ascent shows emergence;
the Descent shows dissolution. Both are necessary for a complete theory of reality.
Keywords: Phase Singularity, Dirac Equation, Quadratic Kernel, Golden Ratio, Fine Struc-
ture Constant, Bidirectional Unification, Information Geometry, Spin Topolog
Genetic polymorphisms associated with L-asparaginase–related toxicity in children with acute lymphoblastic leukaemia: A systematic review protocol (2020–2026)
No full textThis registration outlines the protocol for a systematic review investigating genetic polymorphisms associated with L-asparaginase-related toxicities in children with acute lymphoblastic leukaemia (ALL).
L-asparaginase is a critical component of paediatric ALL treatment; however, its use is frequently complicated by clinically significant toxicities, including hepatotoxicity, acute pancreatitis, thrombosis, hypersensitivity reactions, and metabolic disturbances. Interindividual variability in the development and severity of these adverse events suggests a genetic contribution.
The objective of this review is to systematically identify and synthesise contemporary evidence (2020–2026) on single nucleotide polymorphisms (SNPs) associated with L-asparaginase-related toxicity in paediatric ALL patients. The findings will inform the development of candidate genetic panels for toxicity risk stratification and support personalised therapeutic approaches.
The review will follow PRISMA-P guidelines. Eligible studies will include observational and pharmacogenomic association studies conducted in paediatric populations. Data will be extracted on study characteristics, genetic variants investigated, toxicity outcomes, and effect estimates. Risk of bias will be assessed using the Newcastle–Ottawa Scale adapted for genetic association studies. Where appropriate, meta-analysis will be performed; otherwise, findings will be synthesised narratively. The results are expected to provide a structured foundation for future translational pharmacogenomic research and clinical implementation strategies