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
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
Molecular Wormhole Chemistry: Electronic Non-Locality Induced by Wormhole-Like Geometries in Conjugated Molecular Systems
(Publisher, 2025-09-14) Barack Ndenga
In this work, I present the concept of molecular wormhole chemistry, a new theoretical framework where electronic non-locality emerges in conjugated molecular systems due to geometries analogous to spacetime wormholes. By combining the tight-binding Hamiltonian with Green’s function formalism, I derive equations that describe how electrons may bypass conventional geometric pathways and instead follow topological shortcuts. I also introduce a new index that quantifies wormhole-induced non-locality in molecular systems. This approach offers a rigorous mathematical resolution to the question of how geometry and topology can control quantum behavior in molecules. I argue that conjugated π-systems are capable of hosting such wormhole-like connections, opening a new direction in quantum chemistry and topological molecular design.
The major and minor Aedes mosquitoes from southern Nigeria exhibit low resistance towards public health insecticides
(2025-09-16) Nwangwu, Udoka C.; Ubachukwu, Patience O.; Okeke, Peter C.; Mukhtar, Muhammad M.; Nwosu, Chukwuebuka M.; Ngwu, Ifeoma M.; Nwaogo, Oscar N.; Anokwu, Stephen O.; Ikechukwu, Linda C.; Ogbu, John E.; Agashi, Nneka O.; Ezihe, Chukwuebuka K.; Dogunro, Festus A.; Onwude, Cosmas O.; Eloy, Emelda I.; Ikeakor, Ijeoma U.; Nwosu, Emmanuel O.; Nwangwu, Spencer C.; Nwangwu, Chiamaka U.; Anumba, Joseph U.; Osse, Razaki A.; Sovi, Arthur; Agossa, Fiacre R.; Asadu, Chukwuemeka C.; Chukwuekezie, Okechukwu C.; Ibrahim, Sulaiman S.
Insecticide-based interventions continue to serve as the cornerstone of Aedes mosquito control, the primary vectors of arboviruses. This study assessed the insecticide resistance profiles of four Aedes mosquitoes in three rural areas in southern Nigeria, where arbovirus outbreaks recently occurred. Using WHO tube tests and CDC bottle bioassays, four Aedes species (Aedes aegypti, Ae. albopictus, Ae. simpsoni complex and Ae. luteocephalus) were evaluated for susceptibility to commonly used public health insecticides, including deltamethrin, alphacypermethrin, permethrin, pirimiphos-methyl, chlorfenapyr and clothianidin. Biochemical assays were conducted using Ae. albopictus to establish the role of metabolic resistance mechanism. Amplification and sequencing of fragment of Ae. luteocephalus ITS1 gene molecularly confirmed its species identity. Aedes aegypti exhibited possible resistance to pirimiphos-methyl but remained susceptible to all other insecticides across study sites. Aedes albopictus showed resistance to DDT and possible resistance to pirimiphos-methyl, while remaining susceptible to pyrethroids. Aedes luteocephalus was resistant to pirimiphos-methyl but susceptible to all other insecticides. Aedes simpsoni complex was fully susceptible to all insecticides. Biochemical assays revealed elevated α-esterase and monooxygenase activities (3.4-fold and 2.54-fold, respectively) in exposed females of Ae. albopictus compared to the unexposed cohort. Overall, the low resistance levels observed underscore the need for sustained insecticide resistance monitoring and management to maintain the effectiveness of insecticide-based vector control strategies in Nigeria.
Seismic Activation Modeling with Statistical Physics
(2025-09-13) Daniel Brox
A correspondence between fault damage mechanics and critical point models of seismic activation is presented, and a method of testing the correspondence against seismic measurements is outlined.
From Vision to Impact: How Africa Can Deliver on its AI Strategy
(UbuntuNet Alliance for Research and Education Networking, 2025-09) Ogot, Madara
The African Union (AU) Artificial Intelligence (AI) Strategy (2024) aims to catalyse inclusive AI-enabled growth and safeguard sovereignty, individual and organisational rights (African Union, 2024). The Hierarchy of Engagement with AI (HE-AI) model (Ogot, 2025) offers a practical framework for its implementation. The model frames individual and organisational engagement with AI as a progression along eight maturity levels. It integrates technical capability, governance, ethics, workforce, and ecosystem collaboration into a manageable and measurable stage-gated journey. Executing the Strategy's goals requires a staged evidence-based pathway that the HE-EI model provides. The model's sequenced logic, aligned with the Strategy's phased plan, will support its implementation.
Biological Neural Calculator Using Plant-Based Electromagnetic Responses
(Publisher, 2025-09-10) Barack Ndenga
I propose a novel concept: a Biological Neural Calculator based on plant-derived electromagnetic fields. This work explores the possibility of harnessing bioelectromagnetic signals from plants as computational units, forming a new paradigm of information processing. By modeling plant electrophysiological activity as nodes within an information gradient network, I demonstrate how computation can be achieved beyond silicon-based systems. This article provides the theoretical framework, mathematical demonstrations, system architecture, operational design, and practical steps to build and use such a device.
The originality of this approach lies in the integration of living systems into computational theory. Unlike traditional hardware, which is rigid and energy intensive, plants operate as dynamic, adaptive entities responding to multiple external stimuli. Their natural electromagnetic emissions can be captured, quantified, and transformed into logical operations. Thus, the biological neural calculator offers a sustainable and self-adaptive alternative to conventional computing.
This work also situates the concept within broader scientific contexts, linking plant electrophysiology to computational neuroscience, bio-inspired artificial intelligence, and green technology. By providing a practical blueprint and mathematical foundation, the article bridges abstract theory with experimental feasibility. The proposal therefore represents both a conceptual breakthrough and a call for interdisciplinary exploration.