DSpace Community: SPS

Digital Molecular Magnetic Resonance Imaging

2026-07-14T07:51:30Z

Title: Digital Molecular Magnetic Resonance Imaging Authors: Awojoyogbe, Bamidele; Dada, Michael Abstract: This book pushes the limits of conventional MRI visualization methods by completely changing the medical imaging landscape and leads to innovations that will help patients and healthcare providers alike. It enhances the capabilities of MRI anatomical visualization to a level that has never before been possible for researchers and clinicians. The computational and digital algorithms developed can enable a more thorough understanding of the intricate structures found within the human body, surpassing the constraints of traditional 2D methods. The Physics-informed Neural Networks as presented can enhance three-dimensional rendering for deeper understanding of the spatial relationships and subtle abnormalities of anatomical features and sets the stage for upcoming advancements that could impact a wider range of digital heath modalities. This book opens the door to ultra-powerful digital molecular MRI powered by quantum computing that can perform calculations that would take supercomputers millions of years. Description: https://link.springer.com/book/10.1007/978-981-97-6370-2

MATHEMATICAL MODELLING OF WASTE MANAGEMENT SYSTEM WITH RECYCLING AND TREATMENT

2026-05-25T17:34:12Z

Title: MATHEMATICAL MODELLING OF WASTE MANAGEMENT SYSTEM WITH RECYCLING AND TREATMENT Authors: BAKO, Deborah Ushafa; Ayenajeyi, S Abstract: In this study, a deterministic mathematical model that explains the transmission dynamics of waste management systems is proposed and analyzed. Positivity and boundedness of solution of the model are proved and basic reproduction number is computed using the next-generation matrix method. The existence of a unique waste management free and endemic equilibrium points are investigated. Then, we study the local asymptotic stability of these equilibrium points. The analysis shows that the system has a locally asymptotically stable waste management -free equilibrium point whenever the reproduction number is R0 < 1 and locally asymptotically stable endemic equilibrium point whenever the reproduction number is . The simulation result shows the agreement with the analytical results.

MATHEMATICAL MODELLING OF CHILTRAFFICKING DYNAMICS WITH INTERVENTION STRATEGIES

2026-05-25T17:32:42Z

Title: MATHEMATICAL MODELLING OF CHILTRAFFICKING DYNAMICS WITH INTERVENTION STRATEGIES Authors: BAKO, Deborah Ushafa; Yamawo, H Abstract: In this study we, developed and analysed a deterministic model for the transmission dynamics and control of Child trafficking by incorporating prevention strategies such as enhance rescue operations and rehabilitation program. The model is proved to be both epidemiologically and mathematically well posed. We showed that all solutions of the model are positive and bounded with initial conditions in a certain meaningful set. The existence of unique child trafficking free and endemic equilibrium points are investigated and the basic reproduction number is computed. Then, we study the local asymptotic stability of these equilibrium points. The analysis shows that the system has a locally asymptotically stable child trafficking-free equilibrium point whenever the reproduction number is and locally asymptotically stable endemic equilibrium point whenever the reproduction number is . The simulation result shows the agreement with the analytical results.

MATHEMATICAL MODEL FOR THE TRANSMISSION DYNAMICS OF EBOLA INCORPORATING OPTIMAL CONTROL STRATEGIES

2026-05-25T17:30:57Z

Title: MATHEMATICAL MODEL FOR THE TRANSMISSION DYNAMICS OF EBOLA INCORPORATING OPTIMAL CONTROL STRATEGIES Authors: BAKO, Deborah Ushafa Abstract: Ebola Virus Disease remains one of the most deadly infectious diseases affecting several African countries due to its high transmission and mortality rates. Understanding the transmission dynamics of the disease is essential for developing effective intervention and control strategies. In this study, a deterministic compartmental mathematical model for the transmission dynamics of Ebola Virus Disease is developed and analyzed. The total population is divided into six epidemiological compartments namely susceptible, exposed, infectious, hospitalized, recovered, and Ebola-induced death classes. The model incorporates important epidemiological factors such as hospitalization, recovery, disease-induced mortality, and quarantine-related interventions. The study concludes that timely intervention strategies and strict public health measures are effective tools for mitigating the spread of Ebola Virus Disease. The developed model provides useful insights for policymakers, epidemiologists, and public health authorities in planning and implementing effective disease control programs.