Papers.

CONSCIOUSNESS / QUANTUM BIOLOGY

A Reverse Anaesthetic Symmetry Hypothesis

A testable account of psychedelic action as a reverse anaesthetic process, linking subradiant tryptophan-exciton states with large-scale conscious dynamics.

THEORETICAL NEUROSCIENCE

From Coherent Mass to Conscious Content

A proposed bridge from coherent physical mass to differentiated phenomenal content, with explicit scaling predictions and falsifiable constraints.

QUANTUM MACHINE LEARNING

Evolving Quantum Neural Networks with Data Re-Uploading

An investigation into evolutionary optimisation, repeated data encoding and consciousness-inspired structure in trainable quantum circuits.

MACHINE LEARNING / REVIEW

Machine Learning-Based Approach and Customer Segmentation: A Review

A narrative review of how machine-learning clustering — K-means, hierarchical, Gaussian mixtures and density-based methods such as DBSCAN — reshapes customer segmentation into dynamic, data-driven frameworks, weighing algorithmic strengths and limits against the ethics of responsible deployment.

CUSTOMER SEGMENTATION / CLUSTERING

Effective customer segmentation using the recency, frequency, and monetary framework, combined with density-based clustering

Pairs an extended RFMI framework (Recency, Frequency, Monetary, Interpurchase) with density-based HDBSCAN on an H&M transaction dataset, recovering five interpretable customer segments plus a small noise group and improving segment fidelity on sparse, irregular retail data.

RESEARCH PAPER

Quantum Neural Network Operations based on Orchestrated