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This study presents a model of the hydrogen atom for the orbital angular momentum l = 1 and l = 3 using the causal interpretation also referred to as the Bohm-de Broglie interpretation of quantum mechanics. The causal interpretation is an alternative interpretation of quantum mechanics that gives...

This dissertation develops a first-order multivariate Poisson integer-valued autoregressive (MPINAR(1)) model to improve disease outbreak detection in public health surveillance systems. The MPINAR(1) model is proposed as a computationally tractable alternative to the general multivariate...

This dissertation develops a negative binomial integer-valued generalized autoregressive conditional heteroscedastic model of order p, q (negative binomial INGARCH(p, q)) for overdispersed count time series data with potential extreme values. The model is formulated such that its conditional...

Among the most effective ways of helping citizens acquire knowledge, skills, values, and attitudes is through education. Policymakers and administrators must recognize that education is the most reliable path to the sustainable development of any nation. In Zambia, the national goal of...

The increasing adoption of the Internet of Things (IoT) in healthcare has revolutionized patient care through real-time monitoring and remote diagnostics. This project presents a SecurityAware IoT-Driven Remote Patient Monitoring (RPM) Framework that captures, encrypts, and securely transmits...

This study investigates the relationship between macroeconomic indicators and the NonPerforming Loan (NPL) Ratio in Zambia over a two-decade period (2003–2022/23). The research was motivated by the persistent challenge of high NPLs in Zambia’s banking sector, which undermines financial stability,...

Social Protection programmes in Zambia aim to reduce the levels of poverty and improve the lives of the vulnerable in the communities. However, the two most common challenges in the Social Protection sector in Zambia are fragmented data and poor targeting of beneficiaries. This report describes...

This research project investigates the development and implementation of AI-Powered Fraud Detection and Prevention in financial institutions. By using artificial intelligence and machine learning techniques like supervised learning, the proposed model aims to improve the accuracy, efficiency, and...

University education is an important aspect that needs to be accessible to everyone. E-learning is one mode of ensuring access to education but requires well defined policies and standards to guide technologies, applicability, methodologies, as well as technological infrastructure. In Zambia,...

This study was focused on teachers' pedagogical content knowledge (PCK) in Literature in English curriculum in Zambezi district using a qualitative case study approach. Guided by an interpretivist research paradigm, the study involved 49 participants, including Literature in English teachers, who...