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Induced Breeding in Clarias gariepinus: A Systematic Review and Meta-Analysis of Overprim and It’s Saline Dilution Doses Reuben, Laraba Love; Michael, Oshimagye Ibagye; Stephen, Mathew
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (2025): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v3i1.4288

Abstract

This review is on the effects of Ovaprim, a synthetic hormone and its dilutions used for inducing spawning and breeding, on the reproductive performance of Clarias gariepinus. By obtaining data from multiple studies, this research assessed key reproductive measures, including fertilization rates, hatchability, and survival rates, in relation to varying concentrations of Ovaprim and saline dilutions. Through a meta-analysis approach, the study findings revealed that the administration of Ovaprim, particularly at a 1:10 saline dilution, significantly enhances fertilization and hatchability rates compared to control groups. However, the relationship between these metrics and survival rates is diverse, with survival not consistently correlating with improvements in fertilization and hatchability. The variability observed across studies highlights the influence of diverse environmental and biological factors on reproductive success.
Comparative Study on Forecast Performance from Decomposition, Winter’s and Sarima Models Stephen, Mathew; Ogunmola, Adeniyi; Akobi, Clement Ogbeche; Michael, Ibrahim
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4040

Abstract

This study investigates the forecasting accuracy of three univariate time series models—Decomposition, Winter’s method, and Seasonal Autoregressive Integrated Moving Average (SARIMA) to predict the Agricultural GDP of Nigeria. Quarterly data on Nigeria's Agricultural GDP from 2010 to the first quarter of 2023, obtained from the National Bureau of Statistics, were analyzed. The study applied Box-Jenkins SARIMA modeling, time series decomposition, and Winter’s method to compare their forecasting accuracy using Root Mean Square Error (RMSE) as the selection criterion. The results revealed that the SARIMA (0, 0, 2)(2, 1, 0) model outperformed the other methods, with the lowest RMSE, indicating its superior accuracy in forecasting Agricultural GDP. Winter’s method and the Decomposition method. The forecast from the SARIMA model indicated a positive trend in Nigeria’s Agricultural GDP over the study period, reinforcing the sector’s critical role in economic growth.
A Statistical Evaluation of the Occurence of Meningitis in Takum, Taraba State, Nigeria Idi, Danjuma; Akobi, Clement; Stephen, Mathew; Bamigbala, Olateju Alao
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i6.4112

Abstract

Meningitis remains a critical public health issue in Nigeria, particularly within the dry season when environmental factors such as low humidity and dust elevate transmission risks. Using historical incidence data from 2012 to 2021, this study utilizes the Autoregressive Integrated Moving Average (ARIMA) model estimate and predict the occurrence of meningitis occurrences. Findings frm the study revealed that the ARIMA(1,1,0) model emerged as the optimal fit, capturing the seasonal patterns and temporal trends in meningitis cases. This study recommends the integration of ARIMA-based forecasting into Nigeria’s public health strategies to strengthen early warning systems, optimize resource deployment, and enable more proactive responses during high-risk periods.
Inference on Cooperative Learning Strategy and Academic Achievement of Physics Students in Girei LGA, Adamawa State Idi, Danjuma; Stephen, Mathew; Michael, Ibrahim
ALSYSTECH Journal of Education Technology Vol 2 No 3 (2024): ALSYSTECH Journal of Education Technology
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsystech.v2i3.3766

Abstract

This study examined the effectiveness of cooperative learning strategy on secondary school students' academic achievement in physics. Guided by two research questions and three hypotheses, the study employed a quasi-experimental design and was conducted with a sample of 60 Senior Secondary School year two (SS2) physics students from Government Senior Secondary School Girei, Adamawa State. The Physics Achievement Test (PAT) was used to collect data, which were then analyzed using descriptive and inferential statistics. The results showed a significant mean score difference of 13.78333 (p < 0.001) favoring the cooperative learning group over the conventional group. Gender differences were significant in the conventional group (t-statistic = -20.696, p < 0.001), with males scoring higher, but not in the cooperative group (t-statistic = -35.658, p = 0.425). Thus, cooperative learning appears to reduce the gender gap in physics achievement. It is recommended that workshops be held to train teachers on effective cooperative learning strategies.
An Analysis on Same-Sex Relationships and Cultural Views: A Study of Wukari Metropolis Fadahunsi, John A.; Orume, A. K; Stephen, Mathew
International Journal of Education, Culture, and Society Vol 3 No 1 (2025): International Journal of Education, Culture, and Society
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ijecs.v3i1.4557

Abstract

This study investigated the effect of same sex relationship on cultural lives of people in Wukari Metropolis. The objective of the study was to identify the common practices of same sex relationship, examine the attitudes of people in Wukari Metropolis towards same-sex relationship and determine the likely effects of same sex relationship among the residents of Wukari Metropolis. The research design adopted for the study was descriptive research design while the sample size for the study was 400 respondents which were selected through the aid of simple random sampling. Data for the study was collected through the use of structured questionnaire and oral interview. Data gathered from the questionnaire was analyzed through the use of mean, while interview responses from the study was analyzed through the use of content analysis. Findings from the study revealed that lesbianism and bisexualism are the most common form of same sex relationship in Wukari Metropolis. Further findings revealed that there is a strong rejection of same-sex relationships, with limited support or tolerance within the Wukari community. Also, further findings from the revealed that same-sex relationships have a significant effect on the cultural and social lives of people in Wukari Metropolis.
A Study on Alzhemier Disease in Takum, Taraba State, Nigeria: An ARIMA Model Approach Akobi, Clement; Idi, Danjuma; Michael, Ibrahim; Stephen, Mathew
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.v3i1.4113

Abstract

Alzheimer’s disease, a progressive neurodegenerative disorder, represents a significant and growing public health burden, particularly as life expectancy increases worldwide. In sub-Saharan Africa, including Nigeria, the disease's prevalence is rising due to aging populations and urbanized lifestyles that elevate risk factors for cognitive decline. This study investigates the trends and projected incidence of Alzheimer’s disease in Takum, Taraba State, Nigeria. The research utilizes patient records from General Hospital Takum, spanning from 2012 to 2021. Following diagnostic tests and data transformations, the ARIMA(1,2,0) model was selected as the best fit for predicting future case counts. The findings reveal a steady increase in Alzheimer’s cases, consistent with global patterns, highlighting the need for proactive measures in healthcare planning. The study thus recommends the need for increased public awareness, investment in diagnostic infrastructure, and support systems for caregivers.
Effects of Commercial Sex Work on Marital Breakdown in Wukari Metropolis, Taraba State: Counselling Implications and Interventions Fadahunsi, John A.; Adiele, Sunday; Stephen, Mathew
International Journal of Humanities, Education, and Social Sciences Vol 3 No 1 (2025): International Journal of Humanities, Education, and Social Sciences
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ijhess.v3i1.4556

Abstract

This study examined the effects of commercial sex work on marital breakdown in Wukari Metropolis, Taraba State: counselling implications and interventions. The objective of the study was to the ascertain the prevalence of commercial sex workers, identify factors that contribute to the prevalence of commercial sex workers and determine the effect of commercial sex workers (CWS) on marital breakdown in Wukari Metropolis, Taraba State and its implications for counselling. The research design adopted for the study was descriptive survey research design 400 respondents was selected through the use of multistage sampling technique. Data for the study was collected through the use of structured questionnaire and oral interview. Respondents responses was analyzed through the use of mean while Chi-square inferential statistics was used to test hypotheses for the study. Additionally, interview replies were analyzed using content analysis. Findings from the study revealed that there is prevalence of commercial sex work activities in Wukari Metropolis. Further findings from the study revealed that poverty is the most significant factor contributing to the prevalence of commercial sex workers. The study recommends that counselling programs should integrate marital counseling and should be made more accessible to individuals and couples affected by commercial sex work.
Statistical Estimation and Inference of Board Composition on Financial Performance of Oil and Gas Companies in Nigeria Idi, Danjuma; Stephen, Mathew
Mikailalsys Journal of Mathematics and Statistics Vol 2 No 3 (2024): 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.v2i3.3516

Abstract

This study examines the relationship between board characteristics and financial performance of listed oil and gas firms in Nigeria, highlighting the gap in existing literature on the topic. The purpose of this study is to investigate the impact of board independence, board size, and gender diversity on financial performance. A sample of three listed oil and gas firms on the Nigerian Exchange Group (NGX) was selected, and secondary data from annual financial statements for 2010-2021 were analyzed using panel regression and correlation analysis. The findings reveal that female board members have a positive and significant impact on financial performance, while board independence and board size have a positive but insignificant impact. The study concludes that gender diversity on boards is a key factor in driving financial success, and recommends increasing the number of female board members to improve financial performance. The results contribute to the understanding of the relationship between board characteristics and financial performance in the Nigerian oil and gas industry.
Regression Analysis on the Impact of Agriculture, Industry and Service Sector on Economic Growth in Nigeria Michael, Ibrahim; Akobi, Clement; Stephen, Mathew
Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 5 (2024): Asian Journal of Science, Technology, Engineering, and Art
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/ajstea.v2i5.3772

Abstract

This study investigates the impact of agriculture, industry, and the service sector on Nigeria's economic growth from 1990 to 2022, using data obtained from the Central Bank of Nigeria (CBN) Statistical Bulletin. Employing an Ordinary Least Squares (OLS) regression model, the research explores the contributions of these key sectors to Nigeria's Gross Domestic Product (GDP). The findings reveal that the industrial sector has a significant positive effect on GDP, emphasizing its crucial role in driving economic growth. The agricultural sector also contributes positively, though its impact is relatively modest, highlighting the need for modernization and investment to enhance productivity. Surprisingly, the service sector shows a statistically significant negative impact on GDP, contrary to its traditionally recognized role in economic expansion. This anomaly suggests underlying structural issues within the sector that require further investigation. The study's model explains approximately 59.65% of the variation in GDP, with no significant evidence of autocorrelation, heteroskedasticity, or multicollinearity affecting the results. Based on these findings, the study recommends targeted policy interventions to improve agricultural productivity, strengthen industrialization efforts, and reform the service sector to foster balanced and sustainable economic growth in Nigeria.
Effect of Money Supply on Stock Market Development in Nigeria (1985–2023) Stephen, Mathew; Akobi, Clement; Idi, Danjuma; Yusuf, Shadrach
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.v3i2.5883

Abstract

This study investigates the impact of money supply on stock market development in Nigeria over the period 1985 to 2023, with a focus on assessing the differential effects of monetary aggregates and policy rate dynamics. Using annual time-series data obtained from the Central Bank of Nigeria (CBN) Statistical Bulletin, the analysis models stock market development proxied by total annual market capitalization as a function of narrow money supply (M1), broad money supply (M2), and the monetary policy rate (MPR). Multiple regression analysis was employed to test the formulated hypotheses, with standard diagnostic tests confirming the validity of the model, including the absence of multicollinearity and the normal distribution of residuals. Results reveal a statistically significant negative relationship between the monetary policy rate and stock market development (p < 0.05), suggesting that higher interest rates hinder capital market performance. In contrast, neither M1 nor M2 exhibited statistically significant effects (p > 0.05), indicating a limited influence of money supply aggregates on stock market growth within the observed period. These findings imply that interest rate adjustments remain a critical monetary policy tool in shaping investor behavior and capital market performance. The study recommends that policymakers prioritize interest rate management within a coherent monetary policy framework to foster a conducive environment for capital market development and broader economic growth.