Research works

Silentium: A Delayed-Memory Interacting Dark Energy Model with Asymptotic ΛCDM Attractor

We present a phenomenological cosmological framework in which cosmic acceleration emerges from a delayed radiative coupling between the radiation field and a cosmological energy continuum. The model introduces a single memory timescale, τSCF, and a coupling constant, κSCF, genera...

The Mean Totient Entropy: A New Number-Theoretic Constant and its Dirichlet-Type Representation over the Primes

The Mean Totient Entropy: A New Number-Theoretic Constant and its Dirichlet-Type Representation over the Primes For a positive integer n, the divisors carry a canonical probability vector (φ(d)/n) over d | n (Gauss: Σ_{d|n} φ(d) = n). Its Shannon entropy H(n) = −Σ_{d|n} (φ(d)/n)·...

Regional Communication Officer, UNAIDS Latin America (2011): Documentary Evidence of Professional Contributions

This revised archival deposit documents the professional communications work undertaken by Verónica Pereyra Carrillo as Regional Communication Officer at the UNAIDS Regional Support Team for Latin America, based in Panama, from February to December 2011. Her responsibilities incl...

A separable and asymptotic-preserving dynamical low-rank method for the Vlasov–Poisson–Fokker–Planck system

We present a dynamical low-rank (DLR) method for the Vlasov–Poisson–Fokker–Planck (VPFP) system. Our main contributions are twofold: (i) a conservative spatial discretization of the Fokker–Planck operator that factors into velocity-only and space-only components, enabling efficie...

Numerical stability revisited: A family of Benchmark problems for the analysis of explicit stochastic differential equation integrators

We revisit the numerical stability of four well-established explicit stochastic integration schemes through a new generic benchmark stochastic differential equation (SDE) designed to assess asymptotic statistical accuracy and stability properties. This one-parameter benchmark equ...

Deterministic Language Architecture: A Formal Category Definition and Architectural Specification for Non-Probabilistic Language Generation Systems

Canon³ — The Lume Synthetic Organism Canon (L-SOC) Language Architecture Volume I. This paper formally defines Deterministic Language Architecture (DLA) — a new category of language generation system in which output is governed by deterministic architecture rather than probabilis...

Local Discontinuous Galerkin method for the prescribed mean curvature equation

We construct a non-polynomial local discontinuous Galerkin (LDG) scheme for the prescribed mean curvature equation to approximate boundary gradient blow-up solutions and obtain error estimates.

Koharski_Quantum_Space_Mechanism_Origin_of_Forces_2026.pdf

This version corrects the reference list. No changes were made to the text, figures, derivations, numerical results, or claims of the preceding version. The bibliography expands from 80 to 83 entries. All corrections were verified against publisher or registrar records rather tha...

Born to Condense: Polysomes Drive Co-Translational Condensation of Biomolecular Condensate Proteins

This repository contains all necessary raw data and processed data used to generate the figures in this study.

Code for Effect of chemical disequilibrium

Code used in the prepublication of the article entitled : Effect of chemical disequilibrium during metal-silicate partitioning on the thermal state of the early core coreby Vincent Clesi and Renaud Deguen.Submitted to Advances in Geochemistry and Cosmochemistry on March 11th 2026...

The Brain of a Guitarist as a Model of Long-Term Learning: Evidence from Structural and Functional Neuroimaging

This essay synthesizes neuroscientific evidence from both general musician studies and guitarist-specific research in order to better understand how long-term learning is reflected in the brain. By examining the methods and results of selected studies and discussing their relevan...

Automation and autocommunication: A typology of self-communication with wearables

This is a preprint of an article submitted for consideration in the International Journal of Communication.

Ontotectonics: A Meta-Domain Declaration

Ontotectonics is a Meta-Domain governing the pre-neural structural architecture of human identity under load. It posits that identity coherence is governed by lawful structural constraints that sit causally upstream of neural organization, cognition, behavior, and performance. Th...

The Invisible Retention Rate (IRR): An Unvalidated Candidate Formalization for Examining Information Retention Across Representation Processes

Version 2 replaces the previous version of this document. The earlier version described the Invisible Retention Rate (IRR) as a “formal metric” that “measures” the preservation of invisible informational elements and associated higher IRR values with architectures capable of pres...

FAIR Benchmark - Assistance for Life Science Repositories and Knowledgebases: Conceptual Requirements

FAIR LS ARK is a structured benchmark (FAIRsharing record, Gitbook documentation) for assessing the FAIR-enabling qualities of life science databases registered in FAIRsharing. It evaluates database-level characteristics, not individual datasets or other records contained within...

Cognitive Condensate Theory (CCT): Archival Reader Edition

CCT v1.1a is an archival reader edition of the historical CCT v1.1 preprint (DOI 10.5281/zenodo.17573841). It repairs packaging and readability, removes the original 55 MB decorative illustration payload and sample-template residue, restores semantic document structure, and prese...

Kernel-based Method for Detecting Structural Break in Distribution of Functional Data

We propose a novel method to detect and date structural breaks in the entire distribution of functional data. Theoretical guarantees are developed for our procedure under fewer assumptions than in the existing work. In particular, we establish the asymptotic null distribution of...

Comparison of parametric versus machine-learning multiple imputation in clinical trials with missing continuous outcomes

Abstract Background Flexible machine-learning (ML) models to generate imputations within the Multiple Imputation (MI) framework has recently gained traction, particularly in non-randomised observational settings. For randomised controlled trials (RCTs), it is unclear whether ML a...

Dynamic vaccine prioritization via non-Markovian final-state optimization

Effective vaccine prioritization is critical for epidemic control, yet real outbreaks exhibit memory effects that inflate state space and make long-term prediction and optimization challenging. Many strategies are therefore tuned to short-term objectives and overlook indirect pro...

An efficient surrogate-assisted hybrid optimization framework for polymer flooding management

<title>Abstract</title> Reservoir injection-production optimization plays a critical role in enhancing recovery in high-water-cut oilfields. While polymer flooding improves development efficiency by increasing viscosity and controlling fluid flow, its optimization faces several c...