FACULTY OF PHYSICAL SCIENCE

This research undertakes a comprehensive statistical analysis of Nigeria's Gross Domestic Product (GDP) spanning a decade, with a focus on estimating Autoregressive (AR) models using two prominent statistical methods: the Yule- Walker method and the Least Squares method. The study aims to provide statistical insights into the underlying dynamics of Nigeria's economic performance during this period. The research commences by delineating the statistical framework of AR models, which offer a statistical representation of a time series based on its past values. Subsequently, the Yule-Walker method is introduced, a statistical technique leveraging autocorrelation functions to estimate AR model parameters. The statistical properties of Yule-Walker estimators are elucidated in the context of Nigeria's GDP data. In contrast, the Least Squares method is presented as an alternative statistical
approach, characterized by its objective to minimize the sum of squared prediction errors. A statistical framework for the least squares estimators is outlined, providing insights into the statistical properties of parameter estimates and their significance in explaining variations in Nigeria's GDP. The core of the research involves the statistical analysis of Nigeria's GDP time series data over the 10-year period. Both the Yule-Walker and Least Squares methods are applied to estimate AR models tailored to the GDP data. The statistical comparison is based on goodness-of-fit statistics, such as the Akaike Information Criterion (AIC), to evaluate the models' adequacy in capturing the statistical patterns within the GDP dataset.

One hundred (100) ditch cutting samples from OK-1 well, Greater Ughelli Depobelt, Niger Delta Basin, Southern Nigeria, collected from Research and Development Division of Shell Petroleum Development Company was subjected to lithological analysis with the aim of identifying the lithofacies, lithozones, source rocks and seal or caprocks of the analyzed section of the well. The lithological analysis was carried out between six thousand, one hundred and forty (6140ft) and twelve thousand, seven hundred and forty (12740ft). Various lithofacies, together with their associated mineral units were observed mainly by visual examination, aking note of grain sizes, shapes, color, sorting patterns, presence of plant materials and lignitemstreaks of the samples provided. Results of the lithological analysis yielded two (2) lithofacies, which include shale and sandy shale, with presence of plant materials and streaks of lignite, and as a result six (6) lithozones were established. All the lithofacies within the analyzed section of The well were regarded as potential source rocks, because they satisfied the lithological characteristics of source rocks. Seal or caprocks potential of the analyzed section could not however be totally ascertained, because the shales and sandy shales were not observed to be deposited on a reservoir rock by reason of their stratigraphic position, despite satisfying the lithological characteristics of seal or caprock. The analyzed section 6140ft- 12740ft of the OK-1 well was inferred to be the Agbada Formation (paralic sequence) of the Niger Delta Basin, by reason of depth and lithofacies within the section which are basically shale and lesser percentages of sand particles.

The Geophysical survey involving electrical resistivity method has been carried out at Technical road in Benin, A total of five(5) Vertical Electrical Resistivity (VES) were established within the site .The Schlumberger configuration was used for the data acquisition. The quantitative interpretation of the VES involved the plotting on a graph and also used 1X1D software iteration technique. The geoelectric sections drawn from the results of the interpretation revealed a maximum of six layers which comprises of top soil, silt and sandstone.

This project paper presents the development and implementation of a user- centric handyman services platform tailored to the Nigerian context. As a final year project at the University of Benin, our aim was to create a digital solution that simplifies the process of finding and connecting with local handymen. In a nation where traditional handyman services thrive; the platform serves as a bridge between service seekers and skilled professionals. The platform's design places a strong emphasis on simplicity and accessibility, aligning with the expectations of modern users. Users can effortlessly access information on available handymen in their desired locations, eliminating the need for cumbersome registration processes and payment gateways. The absence of user accounts, rating systems, and appointment bookings streamlines the user experience. It should be noted that the loading speed of a website is an important element not only in creating a good user experience, but also in the positioning of the site in a Web search engine (Costill, 2014; Anderson, 2017). The back-end of the platform leverages Node.js to ensure real-time capabilities, enabling rapid data retrieval and enhancing user trust. Data storage and retrieval are facilitated through Google Data Sheets, providing efficiency and user friendliness.

A female mosquito of the species Anopheles that has been infected with the Plasmodium parasites that causes malaria will bite a human victim. Malaria continues to be the biggest cause of death worldwide, although undesirable results can be avoided with early diagnosis and prompt treatment. Parasites on several vertebrates, some in tissue and others in red blood cells. Five of the 172 Plasmodium species that exist can infect people. P. malariae, P. falciparum, P. vivax, P. ovale, and P. knowlesi are among them. The zoonotic malaria P. knowlesi is known to exist in South- East Asia. While malaria occurs as an imported disease from endemic places in the industrialized world, it is the most prevalent disease in Africa and several countries of Asia. The fight to eradicate malaria began on a global scale in 1955. A global malaria control program is run by the World Health Organization, with an emphasis on strengthening primary healthcare locally, early disease detection, prompt treatment, and disease prevention.

Machine learning has emerged as a transformative technology with a profound impact on various industries. In this course of study, this abstract provides an overview of ML, its significance, limitations, types of ML we have. Machine Learning: This refers to the exploration of computer programs that utilize algorithm and statistical model to acquire knowledge by identifying patterns and making inferences all without explicit programming. Some of the significance of Machine Learning includes its contribution to technological advancement in various industries, it equips individual with skills to automate processes and streamline operations and it also enables automation of repetitive tasks which enhance efficiency and productivity. There are challenges or limitations associated with ML, some of which includes: Data dependency, Interpretability and Transparency, Overfitting and Generalization, Domain-specific expertise and Lack of casual understanding. The types of Machine Learning are: Supervised Learning, Unsupervised Learning, Semi-supervised Learning and Reinforcement Learning.

This project is based on the Design and Implementation of an Hotel Allocation and Information Management System which could be useful to Universities and Institutions that still make use of the manual method of allocation hostels to students. It evolved from the manual file record system used to store hostel details, room details, student records, hostel allocation and other data in the hostel. With the help of the internet, computers and other mobile devices are used to manage hostel records and help the administrator effectively access these records. This project aims to create an efficient and reliable hostel management system that can do all the manual work with ease. In order to achieve its aim and objectives, a database was created, and design steps were taken using the iterative and incremental model. This project is carried out using PHP, MySQl with other frontend and backend technologies using Visual Studio Code as the Integrated Development Environment. The Hostel Management System created is useful in helping hostel administrators, record officers monitor and manage their respective operations properly. It is also a faster and more efficient way of keeping hostel records and monitoring them. Keywords: Allocation, Application, Data, Database, File Management, Hostel.

The idea of a library has moved beyond the physical world and found a new home in the increasingly digital era. The developing environment of digital libraries and their significant influence on knowledge transmission, preservation, and accessibility are explored in this abstract. Digital libraries act as repositories for enormous and varied informational collections, encompassing anything from scientific research and classic literature to multimedia archives and cultural heritage. They enable people to conveniently access information at any time and from any location, democratizing knowledge in ways that were previously unthinkable. Digital libraries also have a significant impact on the preservation of delicate and endangered artifacts, protecting cultural treasures and priceless historical records. Their comprehensive metadata systems and archiving methods make it possible to permanently preserve knowledge for future generations.

The Mechanic Booking Website is an online platform aimed at linking vehicle owners with qualified mechanics, facilitating easy appointment scheduling and service management. Conventional methods for securing mechanic services typically involve in
person visits or phone calls, resulting in inefficiencies, delays, and inconvenience. This project seeks to address that issue by
offering a user-friendly digital solution that enables customers to book mechanic services through the internet, review service history, and receive emergency roadside assistance. The system is tailored for two primary users: customers and mechanics. Customers have the ability to register, search for nearby mechanics, schedule appointments, and leave feedback based on their experiences. Conversely, mechanics can handle bookings, update their service availability, and respond to customer inquiries. The system allows users to seek out mechanics, arrange appointments, review service histories, and process payments online from the convenience of their homes. Additionally, it features a review and rating mechanism, enabling customers to evaluate the quality of services provided by
various mechanics. The platform is constructed utilizing web technologies, including HTML, CSS, JavaScript, PHP, and MySQL for backend operations, thereby ensuring a responsive and accessible user experience. In summary, this initiative plays a pivotal role in advancing the digital transformation of the automotive service sector by establishing a dependable and user-friendly online platform for vehicle repairs. Plans for future enhancements may encompass the integration of mobile applications, AI-driven
service suggestions, and automated reminders for maintenance, all aimed at further refining the user experience

One hundred and seventy seven ditch cutting samples were collected from Tomswell, Vals-Field, Niger Delta, at interval of 5715-5730ft to 8680-8695ft which marks the total depth of the well. The samples were subjected to sedimentological, mechanical and heavy mineral separation analysis. Ten (10) depths of interest were selected for proper analysis using a mechanical sieve machine. Pickett crossplots were integrated in evaluating the reservoir quality and depositional environment of sand bodies of the Toms-well in the Val’s Field, Offshore Niger Delta. Evaluated parameters include; storage properties (porosity, saturation), flow property
(permeability) as well as reservoir heterogeneities. Results show that the sand are texturally and compositionally matured. The corosity is fine to medium. The presence of cementing materials act as barriers to vertical flow of fluids but porosity is however preserved and permeability is enhanced by other processes such as coating of the grains by micro-quartz which slows down cementation. The sandstones are sourced from mainly felsic igneous rocks and from low to high grade metamorphic rocks. The depositional system is fluvial while the depositional environment is coastal plain. On the whole, the reservoir quality of the Toms-well, Val’s field is good and will yield optimal output on production.