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Author(s):
Godwin A. Usoh.
Page No : 1-13
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Determination of Onset of the Farming Season of Maize in Uyo Local Government Area, Akwa Ibom State.
Abstract
The study was conducted to determine the Onset of Farming Season in Uyo Local Government Area. The study analyzed the annual rainfall trend in Uyo from 2004 - 2023, investigated the trend in temperature within the study period, determined the onset of rain in the study area as well as the cessation date of rain in the study area. Daily rainfall and monthly temperature data were collected from University of Uyo weather station from 2004 – 20023 for the study. The data were analyzed using descriptive and inferential statistics. Result showed that mean annual minimum rainfall was 3095.3 mm obtained in 2023 while annual maximum rainfall amount was 4594.82 mm obtained in 2022. The mean annual rainfall in the area within the study period was 3868.91 ± 428.96 mm. The variability of annual and mean rainfall within this study period was 11.09 %. The annual trend of rainfall showed increasing trend at annual rate of 41.53 with R2 of 32.81 % while annual trend of temperature showed decreasing trend at annual rate of 0.045 and R2 of 19.19 %. The results also showed that rainfall commences in Uyo between 62 and 112 Julian days with mean of 77.6 ± 12.9 Julian days. The coefficient of variability was 16.6 % which showed that yearly onset period differs moderately in Uyo. Similarly, rainfall ceases in the area between 264 and 355 Julian days with mean of 309.6 ± 34.2 Julian days for the individual years between 2004 and 2023. The coefficient of variability was 11.0 % which shows that yearly retreat period in Uyo differ slightly. The minimum length of growing season in Uyo was between 173 and 293 Julian days with mean of 234.5 ± 35.1 Julian days. This implies that majority of the period had long rain which suggests that farmers can successfully grow a second short maize crop. It was recommended among others that farming calendar for maize should be reviewed to identify new planting date for farmers in every new season.
| 2 |
Author(s):
Akpaneno A. Francis, Tawey M. Dan, Abdulwaheed A. Tobi.
Page No : 14-32
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Assessment of Structures and Depth to Magnetic Source in the Southern Part of Katsina State Using Aeromagnetic Data.
Abstract
The discovery of oil and the subsequent oil boom in Nigeria, which began in 1960, have resulted in the country's complete reliance on oil and the neglect of other economic sectors, particularly the mineral industry, which would have caused a spike in the nation's revenue production. The study area lies within the Northern Nigeria Basement complex. This study aimed to delineate geological lineaments and estimate the depth to magnetic source using two aeromagnetic Sheets (sheet 78 Funtua and sheet 79 Malumfashi) that were provided by the Nigeria Geologic Survey Agency (NGSA) in Abuja. Consequently, the objectives of this research are to produce a composite total magnetic intensity (TMI) map of the study area, to identify prominent structural lineaments and their trends in the study area using the first vertical derivative, to identify magnetic source location using the analytic signal method and to estimate the depth to magnetic source within the study area using the analytic signal method. From the results, the first vertical derivative map of the study area accentuated the short wavelengths within the study area revealing the structures. Structures are predominant within the northeastern part of the area down to the south along the eastern edge of the area. The analytic signal within the study area varies from 0.003 nT/m low amplitude to 0.194 nT/m high amplitude. The analytic signals within this study area have been grouped into three classes (Low, medium, and high). The low analytic signal amplitudes range from 0.003 nT/m to 0.035 nT/m, the medium analytic signal class ranges from 0.035 nT/m to 0.114 nT/m the high analytic signal values are greater than 0.114 nT/m. The depth to the magnetic source here varies from deep sources (657.991 m) to shallow sources (12.725 m). Zango Bayaro, Maigunya, Barga, Dan Maiki, Kuka, Tudun Wada, Tugen Na’alma, Dan Mani, Jankollawa, Dadin Kowa and Kofar Fada have been shown to have shallow depth to magnetic sources. Around Mai Kandamba, Funtua, Kankara, Malumfashi, Dan Sare, Kumbawa, Unguwar Tofa, Pada and Dorobo are areas with the deepest magnetic sources.
| 3 |
Author(s):
S. A. Sumaila, I. U. Hussaini, A. A. Isa.
Page No : 33-42
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‘Total Housing’ Concept for the Slums of Africa as Containment Strategy for Epidemics.
Abstract
Housing has evolved over the ages in both its meaning and, especially practice. While the concept of housing as a physical entity serving life activities of man has conservatively evolved through the millennia, the physical manifestation of housing has undergone a revolutionary change, especially in the advanced nations. This change has resulted mainly from the social revolution and the technological advancement that has occurred in the short span of the modern era. However housing in the slums of African cities has remained rudimentary till today. Surveys of housing conditions in these settlements in several countries have confirmed them to be little more than just shelters against adverse climatic elements. Efforts to improve the quality of housing in the Informal Settlements of the Third World to make them compatible with modern living activities have had little success, especially in the sub-Saharan African region. Combinations of culture, ignorance and especially poor economic status have worked to frustrate such efforts. COVID 19 epidemic which has been the most profound pandemic to date in the modern era has thrown up added challenges to improving the conditions of these housing. The experience of this epidemic has had a significant influence on work, living and travel among other life activities and accordingly calls for a new housing. Based on the interim result of an ongoing housing survey of a Nigerian city backed by similar surveys from literature, a new housing concept- ‘Total Housing’ is proposed.
| 4 |
Author(s):
Stephen W. Bulus, Folasade Y. Ayankoya, Oluwabamise J. Adeniyi.
Page No : 43-57
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The Transformative Impact of Generative AI Across Industries: A Comprehensive Systematic Review.
Abstract
Generative Artificial Intelligence (GAI) has emerged as a transformative technology with profound implications across various industries. This systematic review examines the applications, challenges, and ethical considerations of generative AI technologies across diverse sectors including healthcare, education, business, and creative industries. Following PRISMA guidelines, we analyzed 10 relevant studies published between 2010 and 2025, focusing on the implementation and impact of generative AI models such as ChatGPT, GANs, and Large Language Models (LLMs). Our findings indicate that generative AI is significantly enhancing efficiency, personalization, and innovation across industries, while simultaneously raising concerns regarding data privacy, bias, employment implications, and ethical considerations. In healthcare, GAI is revolutionizing medical diagnostics, personalized treatment plans, and drug discovery. In education, it supports personalized learning experiences and teaching resource development. In business sectors, it transforms customer service, operational workflows, and innovation processes. However, challenges related to bias, privacy, transparency, and technical limitations persist across all domains. This review contributes to the ongoing dialogue on responsible AI deployment and provides valuable insights for researchers, practitioners, and policymakers navigating the evolving landscape of generative AI technologies. The findings underscore the need to balance innovation with ethical considerations and regulatory frameworks to maximize the benefits of generative AI while mitigating potential risks.
| 5 |
Author(s):
Pijay Patili, Benson Mirou, Boaz Andrews, Mohsen Aghaeiboorkheili.
Page No : 58-66
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The Basic Cryptology: A Simple Explanation of How Prime Factorization (Mathematics) Is Used in the Field of Cryptology.
Abstract
Mathematics have vast applications in today’s technological world which most people don’t know much about it and is a major concern. The purpose of this research is to investigate and point out the usage of Mathematics in the field of Cryptology. Mathematics have many real-world applications. By using online sources this study delved deeply into the field of cryptology and pointed out the mathematics used in this field. Similar investigations have been carried out by other students and scholars in other fields which are applicable to Mathematics. With the help of their papers and with ideas arises from the research this paper is written. From the investigation, Prime Factorization is seen as the most important math that plays major role in the field of cryptology. It influenced the way data are protected by providing necessary codes known as keys in the form of numbers. This actually answers our questions regarding the applications of Mathematics in real life and in the field of cryptology.
| 6 |
Author(s):
Bruce Rai, Benson Mirou, Boaz Andrews, Mohsen Aghaeiboorkheili.
Page No : 67-75
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Optimizing Urban Traffic Flow in Smart Cities: An Integrated Queuing and Dynamical Systems Approach.
Abstract
Controlling urban traffic flow is very essential in smart city design; so, advanced analytical tools are needed to lower congestion and increase mobility. This work explores the use of dynamical system analysis along with queuing theory to maximize traffic flow in . We expand a mathematical version combining dynamical system analysis to assess the responsiveness and stability of traffic systems beneath distinctive conditions with queuing concept to control the stochastic nature of site visitors glide. Several simulations illustrate how nicely our approach predicts visitor’s patterns and optimize signal timings, therefore lowering wait times and raising universal visitors’ throughput. The method is tested the usage of real-global visitors statistics, consequently proving its possibility for large city implementation. Our findings show the requirement of an incorporated analytical framework that handles the difficulties of urban site visitors control through combining the blessings of each dynamical systems and queuing theory, finally generating smarter, extra responsive university of the future.
