Department of Mathematical Sciences
Permanent URI for this collection
Browse
Recent Submissions
Now showing 1 - 5 of 170
- ItemPoverty alleviation programs in Nigeria(Cogent Social Sciences, 2024-07-01) Adesina, Olumide Sundaythe measurement of poverty in developing nations are carried out to reduce the severity of poverty in such nations. there are Governmental and non-Governmental organizations that take poverty reduction as a project, and one such is a faith-based oraganisation such as World Mission agency (WMa). this study focuses on the poverty alleviation of WMa and evaluates the impact accessibility and significance of WMa poverty alleviation programs. a survey was conducted at ota, ogun state, nigeria. Data collected were analyzed using the principal component analysis and the t-test. the results obtained were discussed, one vivid findings of this study was that the effectiveness of the poverty alleviation programmes of the World Mission agency in ota was based on the systematic establishment of programmes that address the needs of people at the grassroots level and recommendations were made which include that the federal government of nigeria should take a cue from the World Mission agency Poverty alleviation Programs
- ItemInvestigating Behavioural Characteristics for Psychopathic Personality Traits(BP International, 2024-07-20) Adesina, Olumide SundayIn this work, a survey was conducted in five selected towns in Osun State, Nigeria, based on seventeen identified behavioural characteristics using a developed structured questionnaire to collect data on identified behavioural characteristics that could trigger psychopathy personality traits. Psychopathic traits have eroded our society as they increase daily, thus leading to increased crime. It refers to the full range of physical and emotional behaviours that humans engage in. Physical or verbal aggression between spouses, siblings, or parents who use it as punishment for their children begins at home. Because of misunderstandings, neighbours frequently demonstrate hostility, pessimism, trust, and envious behaviours. Two personality traits considered in this work are aggressiveness and goal setting, while the considered behavioural characteristics are family upbringing, confidence in government, society values, industrialization, civilization, unemployment rate, technology advancement, socio-political class, impunity, environmental impact, embracing foreign culture based on materialism, religion believes, peer group influence, academic attainment, high wealth procession, family believes, and power intoxication. The data harvested from the questionnaire on behavioural characteristics from the five hundred and eight respondents were subjected to principal component analysis to investigate behavioural characteristics that are likely to be responsible for psychopathic traits in humans. Results from the principal component analysis confirmed that family upbringing, confidence in government, society values, industrialization, and civilization significantly contributed to psychopathic traits. Goal-setting is highly influenced by foreign cultures, high money possession, religious views, power intoxication, and technical advancement. These findings were obtained from a binary logistic regression study that used aggression and goal-setting as dependent factors. Conversely, it was discovered that the aggression personality trait was significantly influenced by power intoxication, environmental impact, impunity, and government confidence. Therefore, based on the available data in this study and the analysis carried out, civilization and confidence in government are the main significant behavioural characteristics that trigger personality traits in the region covered in the study. Future works can be extended to cover the entire country for a more robust study in investigating psychopathic behavioural characteristics.
- ItemAdvanced Principal Component Analysis of Various Risk Factors of Hepatitis B Prevalence in Nigeria(Tanzania Journal of Science, 2024-09-30) Adesina, Olumide SundayHepatitis B virus (HBV) is an infectious disease globally estimated to have caused between 500,000 to 1.2 million deaths annually. HBV prevalence is still high in Nigeria. Thus, this research aimed to identify factors germane to the widespread of HBV infection in an apparent clinical survey. The methods of analysis used were frequency, percentage and Principal component analysis (PCA). This was achieved through hospital record extracts of consultant hepatologists and the dimensionality reduction of the acquired data while retaining essential factors that are germane to the prevalence of HBV infection. The findings revealed that out of seventeen components evaluated in the study, the PCA retained 15 components of which Eigen-values are greater than 1.00. The symptoms retained in every component were fever, muscle pain, fatigue, loss of appetite, blood in vomit, jaundice, pale stool, nausea, blood in faeces, weight loss, malaise, abdominal pain, joint ache, swollen of lower extremities, confusion and yellow eye. The symptoms were listed in accordance with their level of relevance for diagnosing HBV in patients, and all the variables retained accounted for 94.278% variation in the prevalence of HBV infection, with the majority of the infected populace found among the adults (18 -64 years).
- ItemDoes the high school external examination grades and the type of high school attended impact the academic performance of freshmen university students?(STEM Education, 2024-09-02) Adesina, Olumide SundayThere is a general conception that high school academic performance and the type of school a child attends would determine his/her academic success in the university. In this study, 135 freshmen engineering students were sampled at the Redeemer’s University, Osun State, Nigeria. The study aimed to determine if the Unified Tertiary Matriculation Examination (UTME) and the type of school attended impact on academic performance of students in the first year at the university. The results showed that there is a significant relationship between UTME scores and the results of engineering freshmen; that is, students who attended private secondary schools performed somewhat better than students who went to public secondary schools. Also, statistical analyses showed that the type of secondary school attended has a significant relationship with UTME scores in favor of students who attended private secondary schools. This study recommends that the government of Nigeria should make public secondary school more appealing to students who cannot afford private secondary schools by putting measures in place to train and employ qualified teachers, and improve teaching and learning conditions. The study aligns with the Sustainable Development Goals (SDGs) 4, to ensure inclusive and equitable quality education for all and lifelong learning.
- ItemEstimation Techniques for Generalized Linear Mixed Models with Binary Outcomes(IIETA, 2024-09) Adesina, Olumide SundayEstablishing model parameters is fast becoming more complex especially with generalized linear mixed models (GLMMs); which comprises of generalized linear models and classical linear mixed models. Evaluating generalized linear mixed models (GLMMs) parameters with maximum likelihood techniques involves some levels of complexity, to proffer solutions to this challenge, techniques involving approximation of integrals were considered in this paper. Some approximation methods for parameter estimation were considered to establish the most effective and adaptive model using a good number of model performance metrics/criteria. Penalized quasi-likelihood, adaptive gauss-Hermite quadrature, and Laplace approximation estimation techniques were considered to fit the real clinical data set with binary outcomes. Real-life data analysis showed some better fitness and superiority of an adaptive gauss-Hermit quadrature technique over some other existing estimation techniques using a set of model performance metrics. Data users at various levels of analysis may now consider adaptive gauss-Hermite quadrature technique over other estimation techniques in fitting GLMMs with binary responses. Coefficients of the model with good performance metrics were also considered in establishing effects of clinical follow-up on medical diagnoses of individual patients.