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.

 

Communities in AfricArXiv

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Now showing 1 - 5 of 7

Recent Submissions

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Leveraging Indigenous Knowledge Systems for Community-Based Education and Sustainable Development in Nigeria: Policy Insights from Edo State
(Zenodo, 2025-11-14) Airhuoyo, Faith
Leveraging Indigenous Knowledge Systems for Community-Based Education and Sustainable Development in Nigeria: Policy Insights from Edo State
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Q-BattX Cloud™: A Quantum-AI–Driven Cloud Platform for Next-Generation Energy Storage Simulation and Optimization
(Publisher, 2025-11-18) Barack Ndenga
The advancement of energy storage technologies necessitates novel tools to explore and optimize next-generation systems. I present Q-BattX Cloud™, a pioneering, integrated software platform that unifies quantum battery simulation, artificial intelligence (AI)-based performance forecasting, and a conceptual blockchain ledger for secure energy exchange. Utilizing a quantum simulation core built on the QuTiP framework, an AI performance prediction dashboard trained on extensive electrochemical datasets, and a prototype of a distributed ledger, Q-BattX Cloud™ enables researchers, engineers, and industry stakeholders to critically evaluate quantum-enhanced batteries in comparison with classical lithium-ion systems. Results demonstrate significant improvements in cycle efficiency predictions and charging dynamics for quantum battery architectures, marking a promising step toward intelligent, scalable, and sustainable energy storage solutions.
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Toward a Quantum Definition of π in Molecular Systems: Original Formula, Mathematical Framework, and Foundational Implications
(Publisher, 2025-11-17) Barack Ndenga
I propose an operational definition of a quantum π for molecular systems — a dimensionless, system-specific invariant π_q that generalizes the classical constant π to include electronic-phase topology and density-weighted phase winding of delocalized electrons. I define π_q via a density-weighted winding-number of the complex electronic amplitude around chemically relevant cycles (rings or effective closed paths), and I show how π_q reduces to the classical π in canonical limits (simple particle-on-a-ring, uniform density). I derive the formula from the Madelung (polar) decomposition of molecular wavefunctions, demonstrate its mathematical properties (gauge invariance, additivity under non-overlapping cycles, continuity under weak perturbations), and relate π_q to observable quantities: energy spacing of ring modes, current (ring magnetism), and phase-sensitive spectroscopic signals. I illustrate the concept analytically (particle-on-a-ring), semi-analytically (Hückel benzene), and numerically (finite conjugated chain model). Finally I discuss implications for aromaticity, molecular electronics, and a program to test π_q experimentally. Quantum pi Molecular topology Electronic phase continuity Electron delocalization Aromaticity Quantum chemistry Wavefunction periodicity Molecular orbital theory Topological descriptors Phase coherence Electronic structure Quantum-π series Conjugated systems Molecular resonance
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Learning From Cancer: Extending Cell Viability by Telomerase Modulation
(2025) Sola-Ojo, Modade
Normal cells age because their telomeres shorten with every division, eventually reaching a point known as the Hayflick limit. Cancer cells avoid this fate by keeping telomerase active, giving them the ability to divide indefinitely. This commentary asks whether the same principle, if tightly controlled, could be turned toward useful ends. Control of telomerase in normal cells might promote their longevity in bioprocesses where culture stability is paramount, or in regenerative medicine, where tissues need more time to regenerate. The idea is simple, but the path forward requires serious effort to ensure safety and long-term control. In essence, understanding cancer to apply its strategic hallmarks in ways that benefit human health and technology.
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Innovative Limonoid-Based Targeted Therapy: Citrus-Derived Compounds for Selective Apoptosis and Cell-Cycle Control in Estrogen-Dependent Breast Cancer
(Publisher, 2025-11-15) Barack Ndenga
Estrogen receptor–positive (ER⁺) breast cancer remains a critical oncological challenge due to therapeutic resistance, adverse effects of endocrine treatments, and cellular heterogeneity. This study introduces an innovative targeted therapy model utilizing limonoids extracted from Citrus limon, focusing on their selective apoptotic and cell-cycle regulatory properties. Employing AutoEvoChem™ V2.0, a molecular evolutionary simulation platform developed by the author, we conducted ligand–receptor docking, evolutionary binding optimization, and probabilistic conformational scanning of principal limonoids—including limonine, nomiline, and obacunone—against key molecular targets: ERα, ERβ, CDK4/6, Bcl-2, and caspase regulatory domains. Computational simulations reveal that these limonoids exhibit preferential affinity for the ERα ligand-binding domain, triggering allosteric destabilization that attenuates estrogen-driven transcriptional activity. Additionally, limonoids enhance recruitment of caspase-3 and caspase-9 and upregulate p53 expression, while simultaneously downregulating cyclin D1 and CDK4/6 complexes, thereby inducing G1-phase cell-cycle arrest. These predictions delineate a dual anticancer mechanism consisting of (1) selective apoptosis activation in ER⁺ cells and (2) suppression of cell-cycle progression through checkpoint modulation. Overall, these findings position Citrus limon–derived limonoids as promising low-toxicity candidates for novel targeted therapies against hormone-dependent breast cancer, with particular potential in low-resource clinical settings.