Welcome to AfricArXiv
This initiative showcases UbuntuNet's commitment to fostering knowledge sharing, collaboration, and accessibility within the African research community. With AfricArxiv, researchers across the continent have a dedicated platform to disseminate their findings, making them accessible to a global audience. By facilitating open access to scholarly work, UbuntuNet Alliance plays a pivotal role in advancing the principles of open science, enhancing research visibility, and driving innovation across Africa.
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Select a community to browse its collections.
- The general repository is open for individual submissions by researchers, librarians and research administrators.
- Showcase of project activities, presentations, and scholarly contributions curated by the AfricArXiv initiative.
- Scholarly items sorted by country > Institution > Department
- A Rapid Grant Fund to address research questions and implement science engagement activities associated with COVID-19
Recent Submissions
Hormonal Receptor Modulation by Lipid Phytoconstituents: The Role of Monounsaturated Fatty Acids and Folate Derivatives from Persea americana in Endometrial Carcinogenesis Prevention
(Publisher, 2025-11-13) Barack Ndenga
Endometrial cancer stands among the most prevalent gynecologic malignancies globally, driven by multifactorial interactions between hormonal imbalance, lipid dysregulation, and genetic susceptibility. Despite advances in targeted therapies, the prevention and management of hormonally driven endometrial carcinogenesis remain challenging due to metabolic side effects and resistance mechanisms.
This research introduces an innovative biochemical hypothesis suggesting that lipid-derived phyto-compounds from Persea americana (avocado) possess intrinsic capacities to modulate hormonal receptor dynamics and restore metabolic equilibrium at the cellular level. Leveraging AutoEvoChem™, a next-generation molecular modeling and quantum simulation platform developed by the author, we performed integrated computational analyses involving molecular docking, density functional theory (DFT), and hybrid molecular dynamics. These simulations focused on the interactions of monounsaturated fatty acids (MUFAs)—particularly oleic and palmitoleic acids—and folate derivatives (folate and 5-methyltetrahydrofolate) with the binding domains of the estrogen receptor (ERα) and progesterone receptor (PR-B).
The computational results revealed a consistent pattern of receptor modulation. Oleic acid exhibited moderate but significant binding affinity to ERα, inducing partial destabilization of its active conformation and reducing ligand activation energy. In contrast, folate derivatives demonstrated high stability with PR-B, reinforcing its active conformation and enhancing its interaction with endogenous progesterone. When co-docked, oleic acid and folate formed a stabilized lipid–nucleotide complex that simultaneously downregulated ERα activation (−7.5 kcal/mol) and enhanced PR-B stability (−10.1 kcal/mol).
Dynamic simulation trajectories (200 ns) demonstrated a synergistic biochemical effect: the MUFA–folate system reduced estrogenic hyperactivation by ~28% while increasing progesterone-dependent transcriptional regulation by ~33%. System-level modeling further revealed decreased activation of estrogen-responsive oncogenes (MYC, CCND1) and upregulation of tumor-suppressor pathways (TP53, PTEN), supporting a protective, anti-proliferative phenotype.
Altogether, these findings point toward a novel mechanistic paradigm—the Hormonal Receptor Modulation Hypothesis (HRMH)—in which Persea americana-derived lipids and folate co-metabolites act as natural biochemical regulators of hormone receptors. Through lipid–nucleotide signaling crosstalk, these compounds contribute to membrane stability, receptor reprogramming, and homeostatic gene regulation, collectively mitigating the early molecular events of endometrial carcinogenesis.
This study represents the first computational evidence that avocado’s monounsaturated fatty acids and folate derivatives may synergistically influence estrogen–progesterone receptor equilibrium, offering a biochemical rationale for nutritional cancer prevention. Beyond its biomedical implications, this work highlights the potential of AutoEvoChem™ as an AI-driven molecular exploration platform capable of elucidating complex biochemical interactions relevant to oncology and reproductive health.
π as a Quantum Signature: Applications and Universal Implications
(Publisher, 2025-11-12) Barack Ndenga
In this final installment of the Quantum π Series, we explore the broad spectrum of applications and implications of π as a universal quantum signature. Moving beyond its classical mathematical definition, π is analyzed here as an emergent constant intrinsically linked to the structure of quantum systems and the probabilistic nature of physical space. By reinterpreting π as a ratio between spatial periodicity and quantized energy, we propose a unified framework that connects fundamental equations of quantum mechanics — including the Schrödinger, Fourier, and statistical distributions — to observable technological and cosmological phenomena.
In quantum technologies, π defines the phase coherence and error thresholds in quantum computation, cryptography, and metrology. In cosmology and quantum field theory, it shapes the vacuum energy density, Planck-scale fluctuations, and the quantization of spacetime itself. In mathematics, it offers a new epistemic perspective: π is not a fixed numerical artifact but an emergent geometric consequence of quantum boundary conditions.
Through numerical simulations and conceptual diagrams, we illustrate π’s recurrent appearance in wavefunction normalization, statistical ensembles, and field quantization. This leads us to propose that π constitutes a universal quantum signature, governing both the informational structure of the microscopic world and the macroscopic stability of the cosmos.
Keywords: Quantum π, emergent constant, wavefunction normalization, quantum technologies, cosmology, vacuum energy, quantum field theory, universal structure, mathematical physics.
Seismic Activation Model Reconciliation
(2025-11-10) Daniel S. Brox
A 2D strain energy diffusion model is presented as a means of reconciling differing time dependence of cumulative Benioff strain presented by previous seismic activation models. From the diffusion model point of view, decrease in shear modulus of mainshock fault occurs with anomalous diffusion of strain energy towards the mainshock critical slip nucleation zone.
π and the Quantum Structure of Probability: From Wavefunction Normalization to Statistical Distributions
(Publisher, 2025-11-10) Barack Ndenga
I explore the foundational role of the mathematical constant π within the probabilistic framework of quantum mechanics. Far from being a mere geometric artifact, π emerges as a structural constant governing the normalization, symmetry, and completeness of quantum probability spaces. It appears not by choice but by necessity—arising from Gaussian integrals, wavefunction normalization, and the quantization of momentum space. In the Schrödinger formalism, π ensures that total probability is conserved, that orthonormal bases remain complete, and that transformations between conjugate variables preserve coherence.
Through both analytical reasoning and numerical perspectives, I demonstrate that π acts as the universal constant linking geometry and probability, ensuring that infinite integrals yield finite, physical results. Its recurrence in the Bose–Einstein and Fermi–Dirac statistics reveals that even at the thermodynamic and collective levels, π underpins the consistency of quantum state distributions.
This work proposes that π should be regarded not only as a mathematical ratio but as the probabilistic invariant of quantum reality—a constant that unifies normalization, coherence, and symmetry across all levels of the quantum description. In this light, π defines the hidden topology of quantum information itself: the circle enclosing all possible probabilities within the bounds of physical existence.
Innovation in the Management of Quality Indicators Through Dashboards: a Case Study
(Revista de Gestão e Secretariado, 2025-06-30) Teixeira, Létison Elias; Fagundes, Alexandre Borges; Augusto, Mário Ezequiel
THIS IS AN ARTICLE PUBLISHED BY Revista de Gestão e Secretariado (e-ISSN: 2178-9010) ON 2025-06-30, AVAILABLE ONLINE: https://doi.org/10.7769/gesec.v16i6.4964
Abstract
Given the high level of market competitiveness, companies are increasingly required to offer high-quality products and services to their customers. To achieve this, the Quality Management area of a company requires clear indicators and reports that facilitate better decision-making. This is a common situation for many companies that use multiple data sources to build their reports, which feed their Quality Management Key Performance Indicators (KPIs). However, manual data handling and the lack of suitable tools for data analysis and visualization become problematic. This article introduces an innovative solution that combines Information Systems techniques and Quality Management concepts, demonstrating how informative dashboards can be created for publishing Quality Management performance indicators. Using this technology, routines can be optimized, redundant tasks eliminated, flexible analysis supported, and decision-making accuracy improved, making the production system more sustainable.