Research works

Holographic Screen Capacity, Composition, and Operational Fission

This is the 6th paper in the series, which is preceded by the three part Semantic Observers: A Functional Criterion for Observer-Systems in the Quantum Measurement Problem. Zenodo. https://doi.org/10.5281/zenodo.21711777 and Commitment Time, Metric Time, and Physical Temporal Int...

Push–Pull Cosmology: A Field‑Centric Model of Motion, Meaning, and Origin

This work presents Push–Pull Cosmology, a field‑centric theoretical model describing how departure and return forces generate motion, identity, creation, destruction, meaning, consciousness, and origin across all scales of existence. Instead of treating push and pull as isolated...

Decolonizing Consumerism Through Transmodernity: Education by the Agroecological Production Units Project

Consumerist education has focused on providing consumers with information to help them make better market choices, shifting responsibility for protection from institutions to individuals. This model, adopted in marketing, tends to reinforce neoliberal logic by individualizing res...

The Ostrowski Dimensionless Reformulation: A Systematic Compilation of Fundamental Physics Equations in Planck Units

Version 1.5. Systematic compilation and dimensionless reformulation of 53 fundamental physics equations across ten disciplines, motivated by the Ostrowski Dimensionless Mandate. Dimensional formulations implicitly privilege the Archimedean completion of the rationals per Ostrowsk...

Collective Risk Measures for Processes

Abstract This paper develops a comprehensive framework for collective risk measures, tools designed to quantify the aggregate risk stemming from a collective of agents. Crucially, these measures explicitly account for inter-agent cooperation, allowing agents to exchange risk thro...

Challenges in the Management of Inborn Errors of Metabolism in Low- and Middle-Income Countries

Inborn errors of metabolism (IEMs) are a diverse category of inherited genetic illnesses caused by abnormalities in enzymes, transport proteins, cofactors, or metabolic pathways that lead to disruption of normal biochemical processes. Individual illnesses are rare but collectivel...

A Cubic Generative Model Unifying Logical, Quantum-Number, Magnetic, and Crystal Structures

This paper presents a unified cubic generative model linking logical transformations, quantum numbers, magnetic ordering, and crystal symmetries. Each domain shares three generative axes—negation, order, symmetry—forming an isomorphic Z2^3 structure. Embedding spdf orbitals, anti...

Generative digital twinning for dynamic building codes in smart sustainable cities: a conceptual framework towards climate change adaptation

Purpose This study explores the enhancement of the building permitting process through the introduction of dynamic building codes, enabled by an adaptive digital technology framework. By leveraging innovations such as Artificial Intelligence, Internet of Things and integrated dig...

Progressive Iterative Delivery Hypothesis: A Psychological Processing Model of Habit Formation, Obsessive-Compulsive Disorder, and Depression

AbstractThe transformation from goal-directed behavior to habitual action is a core issue in cognitive psychology and behavioral neuroscience. The prevailing dual-system competition model divides the goal-directed system and the habit system (neurally grounded in the dorsomedial...

Ease of Doing Business in India: Assessing the Role of Insolvency and Bankruptcy Code

The Insolvency and Bankruptcy Code (IBC), 2016, is a game changer in credit markets. It facilitates time-bound recovery, which restores the confidence of the creditor in the system. The previous regime was fraught with a multiplicity of regulatory mechanisms which failed to bring...

Mild malformation of cortical development with oligodendroglial hyperplasia in epilepsy (MOGHE): genetics, mechanisms and precision therapy

Mild malformation of cortical development with oligodendroglial hyperplasia in epilepsy (MOGHE) is a recently defined malformation of cortical development that is an important cause of childhood-onset drug-resistant epilepsy. Clinically, the epilepsies associated with MOGHE are h...

Alignment-free convolutional neural network classification of glycemic states in type 1 diabetes from GC–IMS breath spectra

Abstract Reliable detection of glycemic dysregulation, particularly hypoglycemia, is essential for people with diabetes, yet current approaches rely on capillary blood sampling or require subcutaneous sensor insertion. Breath analysis offers a non-invasive alternative by capturin...

Primed for use

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comme...

Progressive Iterative Delivery Hypothesis: A Psychological Processing Model of Habit Formation, Obsessive-Compulsive Disorder, and Depression

AbstractThe transformation from goal-directed behavior to habitual action is a core issue in cognitive psychology and behavioral neuroscience. The prevailing dual-system competition model divides the goal-directed system and the habit system (neurally grounded in the dorsomedial...

Sex differences in murine bone matrix maturation modulate osteoblast-endothelial interactions

Abstract Background Bone formation during skeletal growth and repair is divergently modulated by osteoblast-derived vascular endothelial growth factor (VEGF), which contributes to the sexual dimorphism of the bone vasculature. While the extracellular matrix (ECM) provides structu...

Challenges in the Management of Inborn Errors of Metabolism in Low- and Middle-Income Countries

Inborn errors of metabolism (IEMs) are a diverse category of inherited genetic illnesses caused by abnormalities in enzymes, transport proteins, cofactors, or metabolic pathways that lead to disruption of normal biochemical processes. Individual illnesses are rare but collectivel...

Risk-Based Software Test Prioritization via Machine-Learning Defect Prediction: Label-Feature Circularity, Clean Baselines, and an Honest Empirical Study on Five Open-Source Repositories

Risk-based software testing seeks to allocate CI test-execution effort proportional to estimated defect likelihood, typically via a machine-learning classifier trained on repository process metrics. We show that the standard formulation harbours a fatal label-feature circularity:...

Candidate gene identification and molecular marker development for the small granule starch trait in cassava (Manihot esculenta Crantz)

Abstract Cassava ( Manihot esculenta ) is both a vital staple and industrial cash crop, with growing global demand for specialty starches. Small granule cassava starch is highly valued for industrial uses because its reduced size, high amylose content, and improved processing eff...

Recursive Contextual Closure: Longitudinal Loss of Epistemic Permeability in Persistent Human-AI Ecosystems (Position Paper)

Position paper, bilingual: full Hungarian and English texts included, with a supplementary evidence pack (hashed dated note exports, model-analysis annexes, architecture manifest, control-run documentation, claim-revision ledger, CITATION.cff). This paper names and operationalize...

Network Meta-analysis of Safety and Efficacy of Analgesic Transdermal Patches Based on VAS or NRS Pain Scales Across Various Pain Conditions in Non-cancer Patients

Background: Transdermal analgesic systems utilise a prolonged-release mechanism that enhances patient adherence, making them a frequent choice for managing diverse acute and chronic pain states. Nonetheless, robust head-to-head data evaluating their comparative therapeutic value...