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African Multidisciplinary Journal of Sciences and Artificial Intelligence
Published by Lembaga Yasin Alsys
ISSN : -     EISSN : 15957969     DOI : https://doi.org/10.58578/AMJSAI
Core Subject : Science, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Environmental Science Materials Science & Nanotechnology
African Multidisciplinary Journal of Sciences and Artificial Intelligence aims to publish high-quality, peer-reviewed scholarship that advances scientific knowledge and fosters multidisciplinary integration across the sciences, engineering, health, agriculture, environmental studies, and artificial intelligence. • Scientific Advancement: disseminate rigorous empirical, experimental, analytical, and computational studies across core and applied scientific fields. • Artificial Intelligence Integration: encourage responsible and evidence-based use of AI in scientific discovery, modeling, prediction, diagnosis, and optimization. • Multidisciplinary Convergence: promote studies that connect multiple scientific domains to address complex technical, environmental, biological, and societal challenges. • Innovation and Application: support research that translates scientific and technological knowledge into usable solutions, systems, products, or interventions. Submissions should clearly formulate the research problem, report methods transparently, present defensible evidence, and articulate a well-defined contribution to scientific knowledge and/or multidisciplinary application.
Arjuna Subject : Umum - Umum
Articles 111 Documents
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Prevalence of Intestinal Parasites among Nomads in Hong Local Government Area, Adamawa State, Nigeria Altajiri Innocent; Jesse Daniel; Hussaini Nalle
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 1 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i1.9078

Abstract

Intestinal helminth infections remain a major public health concern in tropical regions, with nomadic populations such as the Fulani in Adamawa State, Nigeria, facing heightened risk due to limited access to sanitation, clean water, and health education. This study assessed the prevalence and associated risk factors of intestinal helminth infections among two nomadic Fulani settlements in Hong Local Government Area (LGA). A community-based cross-sectional study was conducted from July to September 2025 in Warchirashan and Fa’a Fulani settlements. Stool samples (n = 220) were collected from randomly selected participants and analyzed using the concentration method, while socio-demographic data and risk factors for soil-transmitted helminths were obtained via structured questionnaires. Data were analyzed using SPSS v26.0, and associations between infection status and risk factors were assessed using Chi-square tests (p < 0.05). The overall prevalence of intestinal helminth infections was 34.5%, with similar rates in Warchirashan (33.6%) and Fa’a (35.5%). The most prevalent parasites were Ascaris lumbricoides (11.4%), Trichuris trichiura (12.3%), and Schistosoma mansoni (11.4%). Single-species infections predominated, although polyparasitism occurred in 33–38% of infected individuals. Age-specific prevalence was highest among 18–30-year-olds, consistent with greater occupational exposure, and infection rates were higher in males than females (39.6% vs 25.9%), although this difference was not statistically significant. Significant risk factors included source of drinking water, open/bush defecation, and inconsistent handwashing practices. The study concludes that a moderate prevalence of intestinal helminth infections persists among nomadic Fulani communities in Hong LGA, driven by environmental and behavioral determinants, and recommends integrated control strategies—combining improved sanitation, safe water access, regular deworming, and targeted health education—to reduce the infection burden across all age groups.
A Novel Computational Framework for Nonlinear Differential Equations Employing the Modified Laplace Adomian Polynomial Method Salisu Lukunti; Umar Mujahid Aliyu; Abubakar Assidiq Hussaini; Imafidor Hassan Ibrahim; Mohammed Abubakar Kolo; Sulaiman Ahmad; Nura Hashim; Mohammed Yusuf Marafa; Isa Yahaya
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 1 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i1.9097

Abstract

Nonlinear differential equations pose significant challenges for conventional analytical and numerical techniques, particularly in efficiently handling complex nonlinear terms while maintaining solution accuracy and stability. This paper presents a novel computational framework for solving such equations using the Modified Laplace–Adomian Polynomial Method (LAPM), which integrates the Laplace transform with an enhanced form of the Adomian Decomposition Method. In the proposed approach, nonlinear terms are systematically decomposed into rapidly convergent Adomian polynomials, simplifying the solution process and reducing computational complexity without compromising precision. The performance of LAPM is evaluated using several benchmark nonlinear and linear differential equations, where it exhibits superior convergence speed, accuracy, and stability when compared with traditional methods. These results demonstrate that the Modified Laplace–Adomian Polynomial Method is a reliable and efficient tool for addressing a wide class of nonlinear differential equations in applied mathematics, physics, and engineering, and contributes to the growing repertoire of semi-analytical techniques for nonlinear problem solving.
A Theoretical Exploration of Paraletrix Calculus as an Extension of Rhotrix Mathematics Isa Yahaya; Salisu Lukunti; Umar Mujahid Aliyu; Imafidor Hassan Ibrahim; Mohammed Abubakar Kolo; Sulaiman Ahmad; Nura Hashim; Mohammed Yusuf Marafa
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 1 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i1.9100

Abstract

This paper, titled A Theoretical Exploration of Paraletrix Calculus as an Extension of Rhotrix Mathematics, builds upon earlier studies in generalized matrix theory by extending the structural and operational framework of non-standard matrix-like objects. Atanassov and Shannon [1] first introduced matrix-tertions and matrix-ngittrets as entities that interpolate between 2-dimensional vectors and 2×2 matrices, thereby enriching the conceptual landscape of generalized matrices. Ajibade [2] subsequently advanced the field by proposing thotrices as intermediates between 2×2 and 3×3 matrices, while further developments in rhotrix theory have established various multiplication techniques, such as heart-oriented and row–column multiplications—and yielded several important results. Recognizing the diversity of both rectangular and square matrices, the paraletrix structure was formulated as a generalization of the thotrix, allowing unequal numbers of rows and columns and thus providing a more flexible algebraic setting. This study extends the mathematical framework by introducing differentiation and integration within paraletrix calculus, defining these operations for paraletrix-valued functions with respect to an independent variable. In doing so, it lays the groundwork for a coherent calculus on paraletrices as a theoretical extension of rhotrix mathematics and generalized matrix theory.
Assessment of Public Relations Strategies Adopted by the Nigeria Police in Its Image Management Aondo Vivian; Gana Hope; Musa Mathias; Anthony I. Igyuve
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 1 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i1.9180

Abstract

This study examines public relations strategies adopted by the Nigeria Police Force (NPF) in managing its institutional image, with particular attention to how these strategies shape public perceptions and mitigate negative publicity. Using a descriptive survey design, questionnaires were distributed to a randomly selected sample of respondents through simple random sampling to assess the relationship between public relations practice and image management within the NPF. The findings indicate a significant positive impact of public relations strategies on improving the public image of the Nigeria Police Force, confirming that well-crafted and consistently implemented communication efforts contribute to enhanced public perception. At the same time, the study identifies persistent impediments that constrain the effectiveness of these strategies, including structural and operational challenges within the organization. The study concludes that prioritizing media relations, adopting a more strategic and evidence-informed approach to addressing the identified constraints, and conducting a comprehensive review of existing public relations strategies—grounded in open and transparent communication and stakeholder feedback—are critical for strengthening image management. These conclusions underscore the need for the Nigeria Police Force to institutionalize responsive, dialogic public relations practices as part of broader efforts to rebuild public trust.
Fractional-Order Modeling and Analysis of Nanoparticle Transport in Magnetohydrodynamic Blood Flow Through a Stenosed Artery Isah Abdullahi; Ali Musa
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 1 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i1.9189

Abstract

This study presents an extended fractional-order mathematical model for blood flow through a stenosed artery under the combined effects of a magnetic field, porous medium, chemical reaction, and nanoparticle diffusion. The study aims to provide a more accurate and physiologically relevant representation of nanoparticle transport in pathological arterial flow conditions. The governing nonlinear equations for momentum and mass transfer were formulated and solved using a semi-analytical approach involving modified Bessel and Mittag–Leffler functions. Model validation through comparison with existing results showed excellent agreement, confirming the reliability of the proposed formulation. The parametric analysis revealed that increasing the chemical reaction parameter and Schmidt number reduced nanoparticle concentration, whereas a higher fractional order enhanced mass transport by weakening memory effects. The study concludes that the fractional-order framework offers an improved description of nanoparticle transport in stenosed arterial blood flow and contributes to the advancement of mathematical modeling for physiologically realistic hemodynamic analysis.
Assessment of HIV/AIDS Risk Behaviors among Secondary School Students in Adamawa State Isaac John Umaru; Solomon O. Asare; Tyem Lawal Danjuma; Inemesit Samuel Essien; Ingwu Joseph Akem; Usenobong Morgan Akpan; Julius Ishaya Salman; Kwabena Owusu Amoah; Evelyn Ovenomo Tony-Enwin; Hauwa A. Umaru; Maryam Usman Ahmed
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 1 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i1.9303

Abstract

Adolescents in Nigeria are increasingly exposed to HIV/AIDS risk behaviors due to socio-economic challenges, peer influence, and limited access to sexual health education, with secondary school students in Adamawa State particularly vulnerable to early sexual debut, multiple sexual partnerships, and inconsistent condom use. This study aimed to assess the prevalence of HIV/AIDS risk behaviors among secondary school students in Adamawa State, examine the socio-demographic factors associated with these behaviors, and evaluate students’ knowledge and perceptions of HIV/AIDS transmission and prevention. A cross-sectional survey design was employed involving 300 secondary school students selected through stratified random sampling. Data were collected using a structured questionnaire covering demographic characteristics, sexual behavior, substance use, and HIV/AIDS knowledge, and were analyzed using descriptive statistics and chi-square tests. The findings showed that 30% of students experienced peer pressure to engage in sex, 28% had already had sexual intercourse, 19% reported multiple sexual partners, 18.3% admitted inconsistent condom use, 14% used substances before sex, and 12% engaged in transactional sex. Knowledge gaps were also evident, as only 70% recognized condom use as a preventive measure and 25% incorrectly believed that HIV is curable. Socio-demographic factors, including age (18–19 years), male gender, senior class level, and single-parent family structure, were significantly associated with risky sexual behavior (p < .05). These findings underscore the urgent need for comprehensive sexual education, peer mentorship programs, and improved access to sexual health resources in secondary schools. The study contributes contextual evidence on adolescent HIV vulnerability in Adamawa State and highlights the importance of addressing socio-demographic risk factors and misconceptions about HIV/AIDS to reduce risky behaviors and promote adolescent health.
Economics of Catfish Production in Taraba State P. J. Tsokwa; F. B. Filli; J. L. Gizaki
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 1 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i1.9307

Abstract

Catfish production has emerged as a potentially important livelihood and food security enterprise in Taraba State; however, its productivity and sustainability remain shaped by farmer characteristics, input use, and persistent structural constraints. This study examined the economics of catfish production in Taraba State by describing the socioeconomic characteristics of fish farmers, analyzing profitability, identifying the factors influencing production output, and determining the major constraints affecting producers. Primary data were collected from 120 fish farmers across 14 local government areas using purposive sampling. The data were analyzed using descriptive statistics, gross margin analysis, and regression modeling. The findings showed that 65% of the farmers were male, 93% were below 50 years of age, 59% were married, 95% had formal education, 92% had 10 years or less of fish-farming experience, 65% belonged to cooperative societies, and 95% operated with a stocking density of 1,500 or less. Catfish farming was found to be economically viable, with a benefit–cost ratio of 1.51, although feed accounted for 54.42% of variable costs. The multiple regression model produced an R² of 0.889 and a high F-value of 823.110, significant at the 1% level, indicating strong explanatory power. Feed, labor, and water exerted positive and significant effects on output, whereas pond size had a negative and significant effect. The major constraints identified were lack of subsidies, insufficient capital, poor government support, and high feed costs. The study concludes that catfish production in Taraba State is profitable but constrained by high input costs and limited institutional support. These findings imply that targeted subsidies, improved access to credit, policy reforms to reduce production costs, infrastructure development, and farmer training are essential to enhance productivity, strengthen livelihoods, and expand the contribution of aquaculture to the state economy.
Model-Free Reinforcement Learning for Parabolic Trajectory Optimization in Robotic Arms Aadarsh Karn; Neha Shah; Dilip Kumar Sah; Suresh Kumar Sahani
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 1 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i1.9338

Abstract

Robotic arms are widely employed in applications that require smooth motion and energy-efficient operation, particularly in tasks such as object throwing and liquid dispensing, where movement often follows a curved path toward a target point. However, conventional trajectory planning methods that rely on predefined mathematical equations may not accurately represent real-world robotic systems due to uncertainties and payload variations. This study aims to optimize the trajectory of a robotic arm moving along a parabolic path using reinforcement learning and to evaluate whether this approach can successfully learn improved trajectory patterns during motion. The research integrates initial classical physics principles for curved motion with a reinforcement learning framework to enhance trajectory following toward a desired point. The findings indicate that reinforcement learning can effectively learn optimized trajectory paths and improve the motion performance of the robotic arm. The study concludes that reinforcement learning offers a promising approach for achieving smoother robotic motion with satisfactory energy efficiency under dynamic conditions. This work contributes to the advancement of intelligent motion planning by demonstrating the potential of reinforcement learning to improve trajectory optimization in robotic systems operating under practical uncertainties.
A New Numerical Scheme for Solving Quadratic Riccati Differential Equations (QRDEs) Ezekiel Olaoluwa Omole; Adefunke Bosede Familua; Lawrence Osa Adoghe; Oyindamola Racheal Oyebanjo; Rasaki Yinka Akinbo; Olalekan Femi Famutimi
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 1 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i1.9362

Abstract

Quadratic Riccati Differential Equations (QRDEs) are important in control theory, optimal stabilization, and nonlinear dynamics, thereby requiring numerical methods that are both accurate and computationally reliable. This study introduces a new numerical scheme (NNS) for solving QRDEs using an eighth-order power series basis function combined with interpolation and collocation techniques to approximate the exact solutions over a one-step integration interval. Through this procedure, the continuous differential equation is transformed into a system of nonlinear algebraic equations, which is then solved using the Gauss elimination method. A detailed analysis of the proposed scheme establishes its high order of accuracy, zero stability, consistency, convergence, and absolute stability, confirming its suitability for practical computation. The method was implemented on four different QRDE problems, and the results showed that the approximate solutions were in excellent agreement with the exact solutions throughout the integration interval. The study concludes that the proposed NNS is a robust, accurate, and broadly applicable approach for the numerical solution of QRDEs, offering a reliable contribution to computational methods for nonlinear differential equations.
Smoking Behaviors and Perceived Health Risks Among Out-of-School Youth in Tella, Taraba State Isaac John Umaru; Solomon O. Asare; Tyem Lawal Danjuma; Inemesit Samuel Essien; Ingwu Joseph Akem; Genevieve A. Yeboah; Julius Ishaya Salman; Kwabena Owusu Amoah; Precious Chioma Jack; Hauwa A. Umaru; Maayam Usman Ahmed
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 3 No 2 (2026): African Multidisciplinary Journal of Sciences and Artificial Intelligence
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/amjsai.v3i2.9472

Abstract

Tobacco use among adolescents remains a significant public health concern, particularly among out-of-school youth who often have limited access to formal health education and support systems. In response to anecdotal indications of increasing smoking behavior in Tella, this study aimed to assess the prevalence, patterns, and determinants of smoking among out-of-school youth, examine their perceptions of smoking-related health risks, and identify the socio-cultural and economic factors associated with tobacco use. A cross-sectional descriptive survey was conducted using structured questionnaires administered to a purposive sample of out-of-school youth aged 13–24 years, and the data were analyzed using descriptive statistics and presented in tabular form. The findings showed that 58% of respondents were current tobacco users, with cigarettes as the most commonly used product (60%), while 40% reported initiating smoking before the age of 15. Although 70% acknowledged that smoking is harmful, only 35% could identify specific smoking-related diseases, and 45% believed that occasional smoking was not harmful. Peer pressure (60%) and stress related to unemployment (50%) emerged as the most frequently cited reasons for smoking. The respondent profile further indicated that most participants were male (65%), aged 17–21 years (58%), and characterized by high levels of unemployment (42%) and informal labor participation (30%). The study concludes that out-of-school youth in Tella are highly vulnerable to tobacco use due to the combined effects of limited education, economic hardship, peer influence, and cultural norms. These findings highlight the need for integrated interventions that combine health education, peer-based support, economic empowerment, and policy enforcement to reduce tobacco use and promote healthier lifestyles among this at-risk population.

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