School of Physical Sciences (SPS)

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School of Physical Sciences (SPS)

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    Effects of Undesired Course of Study on Students' Academic Achievement in Nigeria Using Binary Logistic Regression
    (Journal of Science, Technology, Mathematics and Education, 2017-09) O. M. Adetutu; F. A. Oguntolu; U. Abdullahi
    This study was conducted to examine the effects of undesired course of study on students' academic performance in tertiary institutions in Nigeria. The questionnaire method was used with stratified sampling scheme. The questionnaire was administered to 400 students in Federal University of Technology, Minna Nigeria. Factors such as gender, age, satisfaction and the course of study were examined whether these factors were having effect on students' academic performance. The student cumulative grade point average (CGPA) was used as a measure of academic performance. The data were analyzed using binary logistic regression and the results revealed that satisfaction with course of study and undesired course of study affected students' academic performance. However, age and gender difference did not affect students' academic performance.
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    A Mathematical Model of a Yellow Fever Dynamics with Vaccination
    (Journal of the Nigerian Association of Mathematical Physics, 2015-11) F. A. Oguntolu; N. I. Akinwande; S. A. Somma; F. Y. Eguda; T. T. Ashezua
    In this paper, a mathematical model describing the dynamics of yellow fever epidemics, which involves the interactions of two principal communities of Hosts (Humans) and vectors (mosquitoes) is considered. The existence and uniqueness of solutions of the model were examined by actual solution. We conduct local stability analysis for the model. The results show that it is stable under certain conditions. The system of equations describing the phenomenon was solved analytically using parameter-expanding method coupled with direct integration. The results are presented graphically and discussed. It is discovered that improvement in Vaccination strategies will eradicate the epidemics.
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    ATTAINMENT OF THE 7-POINT AGENDA IN NIGERIA THROUGH SCIENCE AND TECHNOLOGY
    (The Nigerian Journal of Research and Production, 2010-04) Eze, C. N.
    The 7-point agenda of the Nigerian President, Musa Umaru Yar’adua is a suitable road map to the quick modernization and industrialization of Nigeria. The agenda touches on the most important aspects of the needs of the people of this country. For instance, adequate supply of power and energy, the effective modernization of education at all levels from primary to tertiary, the beefing up of the system of transportation throughout the country, the departure from the dependence on crude oil to new areas of employment and wealth creation such as in agriculture and solid minerals and the assurance of security especially in Niger Delta zone of the country – all these will give this country a new lease of life never experienced before. This paper, therefore, contains analysis of the bone of contention of the -point agenda as enumerated by the president himself. Namely, power and energy, food security, wealth creation, transportation, land reform, education and security as epitomized in the Niger Delta situation. The purpose of this paper is to critically examine the issues involved in achieving the agenda, or otherwise, show the strengths and weaknesses of the various proposals, in relationship with the existing science and technology in this country at the moment, and finally draw conclusion and make recommendations. The science and technology available in this country has already produced very formidable manpower that can handle Nigeria’s current state of development. If, however, there are certain rare areas where suitable technology is not available, the country is rich enough to pay for technology transfer from outside. The re-branding of Nigeria now in progress, though not part of the 7-point agenda, has created excellent opportunities for smoothening the rough edges of the agenda and, hopefully, will act as icing sugar and finishing touches to it. Keywords: Science and technology, the 7-point agenda, development, Nigerian government and the masses.
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    Direct and Indirect Transmission Dynamics of Typhoid Fever Model by Differential Transform Method
    (ATBU, Journal of Science, Technology & Education (JOSTE), 2018-03) O. J. Peter; M. O. Ibrahim; F. A. Oguntolu; O. B. Akinduko; S. T. Akinyemi
    The aim of this paper is to apply the Differential Transformation Method (DTM) to solve typhoid fever model for a given constant population. This mathematical model is described by nonlinear first order ordinary differential equations. First, we find the solution of this model by using the differential transformation method (DTM). In order to show the efficiency of the method, we compare the solutions obtained by DTM and RK4. We illustrated the profiles of the solutions, from which we speculate that the DTM and RK4 solutions agreed well.
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    Approximate Solution of Typhoid Fever Model by Variational Iteration Method
    (ATBU, Journal of Science, Technology & Education (JOSTE), 2018-09) A. F. Adebisi; O. J. Peter; T. A. Ayoola; F. A. Oguntolu; C. Y. Ishola
    In this paper, a deterministic mathematical model involving the transmission dynamics of typhoid fever is presented and studied. Basic idea of the disease transmission using compartmental modeling is discussed. The aim of this paper is to apply Variational Iteration Method (VIM) to solve typhoid fever model for a given constant population. This mathematical model is described by nonlinear first order ordinary differential equations. First, we find the solution of the model by using Variation Iteration Method (VIM). The validity of the VIM in solving the model is established by classical fourth-order Runge-Kutta method (RK4) implemented in Maple 18. In order to show the efficiency of the method we compare the solutions obtained by VIM and RK4. We illustrated the profiles of the solutions of each of the compartments, from which we speculate that the VIM and RK4 solutions agreed well.
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    Bifurcation Analysis on the Mathematical Model of Measles Disease Dynamics
    (Horizon Research Publishing Co., Ltd., 2013-12) Samuel Abubakar; Ninuola Ifeoluwa Akinwande; Sirajo Abdulrahman; Festus Abiodun Oguntolu
    In this paper we proposed a Mathematical model of Measles disease dynamics. The Disease Free Equilibrium (DFE) state, Endemic Equilibrium (EE) states and the characteristic equation of the model were obtained. The condition for the stability of the Disease Free equilibrium state was obtained. We analyze the bifurcation of the Disease Free Equilibrium (DFE) and the result of the analysis was presented in a tabular form.
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    Mathematical model for the control of measles
    (African Journals Online (AJOL), 2018-05-03) O. J. Peter; O. A. Afolabi; A. A. Victor; C. E. Akpan; F. A. Oguntolu
    We proposed a mathematical model of measles disease dynamics with vaccination by considering the total number of recovered individuals either from natural recovery or recovery due to vaccination. We tested for the existence and uniqueness of solution for the model using the Lipchitz condition to ascertain the efficacy of the model and proceeded to determine both the disease free equilibrium (DFE) and the endemic equilibrium (EE) for the system of the equations and vaccination reproduction number are given. Numerical simulation of the model shows that vaccination is capable of reducing the number of exposed and infectious population.
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    Multi-Step Homotopy Analysis Method for Solving Malaria Model
    (Universiti Sultan Zainal Abidin (Malaysian Journal of Applied Sciences), 2018-12-30) O. J. Peter; A. F. Adebisi; F. A. Oguntolu; S. Bitrus; C. E. Akpan
    In this paper, we consider the modified epidemiological malaria model proposed by Abadi and Harald. The multi-step homotopy analysis method (MHAM) is employed to compute an approximation to the solution of the model of fractional order. The fractional derivatives are described in the Caputo sense. We illustrated the profiles of the solutions of each of the compartments. Figurative comparisons between the MHAM and the classical fourth-order reveal that this method is very effective.
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    Mathematical Modeling of Polio Virus Infection Incorporating Immigration and Vaccination
    (Faculty of Physical Sciences, University of Ilorin, 2019-12-01) G. Bolarin; I. U. Omatola; A. Yusuf; C. E. Odo; F. A. Oguntolu; M. A. Philip
    A deterministic mathematical model for polio infection dynamics with emphasis on immigration and vaccination was formulated and analyzed. We derived the basic reproduction number, of the model formulated. The effective reproduction number was computed using the next generation matrix to enable a qualitative analysis to be carried out on the model. Also, the disease-free equilibrium and endemic equilibrium points were computed. On analyzing the equilibrium points, we found that the disease-free equilibrium point is locally asymptotically stable if and the condition for existence on an Endemic Equilibrium point was also established. More so, numerical simulations showed that vaccination coverage of about 75% would be enough to eradicate polio from the population.
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    Trend Analysis of Temperature in Gombe State Using Mann Kendall Trend Test
    (Journal of Scientific Research & Reports, 2018-10-11) YUSUF Abubakar Sadiq; U. U. Alhaji; C. O. Edet; Celestine O. Oche; E. P. Agbo
    This paper presents the trend analysis of temperature in Gombe State using Mann-Kendall trend test. The annual average of Maximum and Minimum Temperature data was obtained from the Nigerian Meteorological Agency (NIMET), Gombe State. In order to determine the nature of the trend and significance level, Mann-Kendall trend test and Sen’s estimate were employed. From this study, it was found out that Maximum and Average temperature exhibit positive Kendall’s Z value which indicates an upward trend and also imply increasing trend over time. The Test statistic ( ) for maximum and average temperatures are 4.38 and 4.43 respectively. This indicates that there is a significant increase in the trend at 5% level of significance since (p-values (0.0001) <0.05). However, the Z value for minimum temperature (1.59) shows a positive trend but not significant at 5% significant level since the p-value is greater than the significant level (p-value (0.107)>0.05). It can be inferred from both Mann- Kendall and Sen’s Slope that there is the tendency of increment in temperature. This could be due to the impact of climate change and can lead to weather extremes in the study area. It is therefore recommended that the variability of temperature should be monitored in order to minimize its effects on human activities.