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All Journal Journal of Multidisciplinary Science: MIKAILALSYS Mikailalsys Journal of Mathematics and Statistics Kwaghe International Journal of Sciences and Technology Open Access DRIVERset
Jude, Iroka
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Other

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Crime Impact Model of Narcotic Drug Abuse in Nigeria Akpienbi, Isaac Oritsejubemi; Jude, Iroka
Journal of Multidisciplinary Science: MIKAILALSYS Vol 2 No 2 (2024): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v2i2.3420

Abstract

This study developed a 6-dimensional nonlinear ordinary differential equation model to investigate the criminal activity associated with narcotic drug abuse in Nigeria. The model was structured around the dynamics of disease transmission, with the goal of limiting and potentially eliminating the threat posed by drug abuse crimes. The analysis of the basic reproduction number, R0, revealed that narcotic drug abuse will die out when R0<1, and become endemic when R0>1. The model’s stability analysis showed that the narcotic drug abuse-free equilibrium is asymptotically stable when the Routh-Hurwitz criteria are satisfied. The study emphasizes the importance of consistent law enforcement, effective rehabilitation programs, and a coordinated, multi-sectoral approach to addressing the escalating narcotic drug abuse crisis in Nigeria. The findings of this research are recommended for consideration by policymakers, public health professionals, and community stakeholders to mitigate the far-reaching consequences of this pressing issue. The use and trafficking of narcotic drugs have emerged as a growing public health and social concern in Nigeria in recent years. The misuse of narcotics, including substances such as opioids, cannabis, and cocaine which is alarming in the preval_ence of narcotic drug abuse across the country, with profound implications for individual well-being, public safety, and socioeconomic development.
Statistical Analysis on the Effect of Treatment on Blood Pressure Before and After Treatment in General Hospital Takum Using Paired T-Test Jude, Iroka; Akpienbi, Isaac Oritsejubemi
Journal of Multidisciplinary Science: MIKAILALSYS Vol 2 No 2 (2024): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v2i2.3425

Abstract

Hypertension is a preval_ent health condition worldwide, posing a significant risk for cardiovascular diseases. This study investigates the effect of treatment on blood pressure in individuals with hypertension, aiming to compare blood pressure levels before and after treatment, eval_uate the effectiveness of different treatment modalities, and assess the impact of treatment on other health outcomes. A quasi-experimental design is utilized, with participants recruited through convenience sampling. Data on blood pressure measurements are collected from medical records, and descriptive statistics and paired t-tests are used for data analysis. The results indicate a significant decrease in blood pressure levels after treatment, supporting the effectiveness of lifestyle modifications and pharmacological interventions in managing, emphasizing the importance of early detection and individualized treatment plans. Future research should focus on exploring the long-term effect of treatment and optimizing treatment strategies for specific patient populations.
Mathematical Model of Counteract Bandits Terrorism in Nigeria O, Akpienbi Isaac; Jude, Iroka
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 1 (2025): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v3i1.3969

Abstract

This paper explores a mathematical model for analyzing the dynamics of banditry and terrorism, focusing on equilibrium states and stability conditions. Key concepts include the reproduction number Rb, which serves as a threshold parameter indicating the potential for spread or decline of these activities. The study finds that a banditry-free equilibrium is locally asymptotically stable when Rb < 1, suggesting that the activities will decline over time. In contrast, Rb>0 indicates the possibility of globally stable coexistence equilibrium, where banditry and terrorism persist at endemic levels. The model also identifies invariant regions, ensuring that the system's trajectories remain within certain bounds, and guarantees unique and positive solutions, essential for real-world applicability. These findings provide critical insights for developing comprehensive strategies to mitigate banditry and terrorism, highlighting the importance of addressing both root causes and immediate symptoms
Markov Chain Prediction of the Long-Run Behavior of Nigerian Oil Stock Jude, Iroka; Mamidu, Moses Joanna
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 2 (2025): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v3i2.5263

Abstract

This study examined the behavior and long-term prospects of selected Nigerian oil stocks such as Conoil, Seplat Oil, and Total Oil by analyzing their daily closing prices using the Chi-Square test for independence, transition probability matrices, and steady-state probability analysis. The Chi-Square test revealed a significant dependence between the daily closing prices of the stocks, indicating a correlation between subsequent price movements. The transition probability matrices showed that Conoil and Seplat Oil have an equal likelihood of transitioning between the High (33.34%), Stable (33.33%) and Low (33.33%) price states, while Total Oil demonstrated a stronger preference for the High (41.92%) , stable (36.71%) and low (21.37%) states. The steady-state probabilities revealed that Conoil and Seplat Oil and Total Oil have a higher likelihood of remaining in the high state in the long term, with Total Oil exhibited a more balanced distribution, suggesting a more stable price movement. The findings imply that investors should consider the correlation between daily price movements and the long-term behavior of these stocks. However, the study's limitations, such as the exclusion of external factors like global oil prices and political stability, should be taken into account when interpreting the results.
The Effect of Teaching on Entry Behavior of Students in Mathematics Jude, Iroka; Napoleon, Ishaya Joseph
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 2 (2025): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v3i2.5270

Abstract

This study investigates the impact of teaching method on the entry behavior of students in mathematics. The study utilized both quantitative and qualitative data analysis methods with a focus on pre-and post- intervention survey scores. The results indicate that student exposed to interactive and experimental teaching methods showed significant improvements in their attitude motivations, and perceptions towards the subject. The finding suggests that these teaching methods are more effective in influencing entry behavior compared to traditional methods. The study highlights the importance of adopting innovative teaching practices to create a more engaging learning environment and improve, overall learning outcomes. Further research is recommended to explore the long term effect of teaching methods on entry behavior and academic performance in different educational settings.
Exploratory Analysis of Students’ Score Jude, Iroka; Mamidu, Moses Joanna
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 2 (2025): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v3i2.5276

Abstract

The main thrust of this study was to determine the effect of Sex, Age, School, and Mode of Entry on performance of students in the subject Biology using Univariate Analysis of variance for the four factors (Sex, Age, School, and Mode of Entry) at two levels each factorial design. The case study is a single random sampling of 100 students selected from the 150 in a class of 200 level students from the Department of Biochemistry, Biological Sciences and Microbiology, Federal University Wukari, Taraba State, Nigeria. To achieve the purpose of this study, hypotheses were formulated to direct the study. Literature review was carried out according. Secondary data from the Department of Biological Science were used to analyse the findings of this research work. All hypotheses were tested at 0.05 level of significance. The results obtained showed that the four factors interaction is the only significant treatment in the factorial design. Eta squared showed that the four factors (Sex, Age, School, and Mode of Entry) interaction contributes the greatest to the variations in the students’ scores in the subject. Noncent parameter and Observed power showed the same. The study recommended amongst other things that parents and educationists should provide enabling environment for the students by ensuring their age, school, and mode of entry is taken cognizance of as it has a significant impact on the students’ performance; parents who are interested in the educational performance of their children to become Biologists or take up Biology and parents who are tending to mould their children to become Biologists or take up Biology related careers in the future to take these four factors into consideration.
Forecasting Relationship between Annual Income and Annual Expenditure in Nigeria Educational Sector Jude, Iroka; O, Akpienbi I.
Kwaghe International Journal of Sciences and Technology Vol 1 No 1 (2024): Kwaghe International Journal of Sciences and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/kijst.v1i1.3596

Abstract

This study investigates the relationship between annual income and annual expenditure using regression analysis. Data spanning multiple years were analysed to understand the dynamics between income and expenditure. The analysis revealed a strong positive correlation between income and expenditure, indicating that higher income levels are associated with increased spending. Despite non-normal distribution, the regression model effectively captured the relationship between income and expenditure, offering insights into consumer behaviour. Forecasted expenditure values based on the regression model provide valuable information for future planning and decision-making. Overall, the study emphasizes the importance of understanding the link between income and expenditure and demonstrates the utility of regression analysis in economic research. Despite deviations from normality, the regression model effectively captures the essence of the income-expenditure relationship, facilitating accurate predictions of future spending trends. The findings offer valuable insights for policymakers, businesses, and individuals alike, highlighting the significance of prudent financial planning and resource allocation. By understanding the dynamics of income and expenditure, stakeholders can make informed decisions to promote economic stability and enhance overall well-being.
Forecasting Relationship between Annual Income and Annual Expenditure in Nigeria Educational Sector Jude, Iroka; O, Akpienbi I.
Kwaghe International Journal of Sciences and Technology Vol 1 No 1 (2024): Kwaghe International Journal of Sciences and Technology
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/kijst.v1i1.3596

Abstract

This study investigates the relationship between annual income and annual expenditure using regression analysis. Data spanning multiple years were analysed to understand the dynamics between income and expenditure. The analysis revealed a strong positive correlation between income and expenditure, indicating that higher income levels are associated with increased spending. Despite non-normal distribution, the regression model effectively captured the relationship between income and expenditure, offering insights into consumer behaviour. Forecasted expenditure values based on the regression model provide valuable information for future planning and decision-making. Overall, the study emphasizes the importance of understanding the link between income and expenditure and demonstrates the utility of regression analysis in economic research. Despite deviations from normality, the regression model effectively captures the essence of the income-expenditure relationship, facilitating accurate predictions of future spending trends. The findings offer valuable insights for policymakers, businesses, and individuals alike, highlighting the significance of prudent financial planning and resource allocation. By understanding the dynamics of income and expenditure, stakeholders can make informed decisions to promote economic stability and enhance overall well-being.
Co-Authors Akpienbi, Isaac Oritsejubemi Mamidu, Moses Joanna Napoleon, Ishaya Joseph O, Akpienbi I. O, Akpienbi Isaac