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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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Influence of Occupational Stress and Demographic Factors as Predictors of Mental Health of Federal Road Safety Corps Personnelin Benue State Sector Command
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 1 (2024): 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.v1i1.3543

Abstract

This study Investigated Occupational Stress and Demographic Factors as predictors of Mental Health of Federal Road Safety Corps Personnel in Benue State Sector Command. The study employed a cross-sectional survey design. A total of 232 Personnel consisting of 169(72.8%) males and 63(27.2%) females with ages ranging from 20-58 years (Mean age-36.30, SD- 8.34) were used for the study. The Occupational Stress Index (OSI) and Mental Health Inventory (MHI) were used for data collection. Statistical Analysis involved the use of Multiple Linear Regression and Univariate Analysis. The study adopted Statistical package for the Social Science (SPSS) version twenty-three (23) for data Analysis. The findings of the study showed that there was significant negative influence of Occupational Stress on Mental Health of Federal Road Safety Corps Personnel in Benue State Sector Command [R=-.422, R2=.178, F(4,228)=13.541, p<.05]. The findings of the study also revealed that there was no significant sex different on Mental Health of Federal Road Safety Corps Personnel in Benue State Sector Command F (2, 230) =.105, p>.05). There was no significant Main and Interaction Effect of Sex and Cadre on Mental Health of Federal Road Safety Corps personnel in Benue State Sector Command F (5, 228) =.105, p>.05). It was therefore recommended that the management of Federal Road Safety Corps in Benue State Sector Command should initiate policies and measures to improve Mental Health of Federal Road Safety Corps Personnel in Benue State Sector Command. It was also recommended that the management of Federal Road Safety Corps should pay serious attention to strenuous working condition, role overload, role ambiguity and role conflict by improving the workingconditions and reducing the workload of Federal Road Safety Corps personnel to enhance their Mental Health.
The Impact of Water Quality on Human Nutrition: A Review of the Relationship between Water Intake and Nutrient Absorption Musa Yahaya Abubakar; Mohammed Haladu; Pambani Reuben; Twan Sale Mathew; Ansar Bilyaminu Adam; Ruslan Shamsuddeen
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 1 (2024): 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.v1i1.3544

Abstract

Water quality is intrinsically linked to human health, and ensuring access to clean and safe water is a fundamental public health goal, Water is essential to human health as it assists with nutrient delivery and digestion. The chemical, physical, and microbiological qualities of water have a substantial impact on the gastrointestinal tract's ability to absorb nutrients. Heavy metals, insecticides, and microbial infections are examples of contaminants that can hinder digestive processes, resulting in nutrient shortages and absorption. Pure, high-grade water can improve the absorption of nutrients and the effectiveness of digestion. This review examines the connection between nutrient absorption and water quality, with a particular emphasis on the effects of water pollution on human health. According to the review, nutrient absorption is greatly impacted by water quality, particularly in groups that are more sensitive. It emphasizes how crucial it is to monitor and control water quality better in order to provide the best possible nutrition and health results. This review synthesizes current research to elucidate the mechanisms through which water quality impacts nutrient absorption and overall nutritional status. It also highlights the public health implications, particularly in areas with inadequate access to clean water, and suggests interventions to improve water quality and support optimal health outcomes. water quality has a significant impact on human nutrition by influencing nutrient absorption, overall health, and hydration. Contaminants in water can interfere with nutrient absorption and cause a range of health issues, ultimately affecting the availability of essential nutrients in the body. Therefore, addressing water quality issues is crucial for promoting optimal nutrition and improving human health. The findings underscore the importance of ensuring access to clean drinking water as a fundamental component of nutritional health and public well-being.
Volatile Organic Compound in the Environment: Sources, Exposure and Mitigation A.M. Abakpa; T Japhet; Precious Omale; BB Chiyam; Inedu Peter; Grace Otinu Abu
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 1 (2024): 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.v1i1.3545

Abstract

Volatile Organic Compounds (VOCs) constitute a diverse group of carbon-based chemicals that vaporize under normal environmental conditions. Their ubiquitous presence in the environment arises from both natural and anthropogenic sources, including industrial processes, vehicle emissions, and biological activities. This review explores the sources, exposure pathways, and mitigation strategies associated with VOCs in the environment. Anthropogenic activities such as transportation, manufacturing, and solvent use are significant contributors to VOC emissions, leading to concerns about their impact on air quality and human health. Exposure to VOCs occurs through inhalation, ingestion, and dermal contact, with potential health effects ranging from respiratory irritation to long-term risks such as cancer and neurological disorders. The application of nanomaterials in VOC reduction has encouraging opportunities to improve the effectiveness of environmental pollutant removal. Future research directions should focus on advancing monitoring technologies, assessing the efficacy of mitigation strategies, and understanding the complex interactions between VOCs and environmental factors.
Vector Autoregressive Modeling of Some Nigeria Inflation Factors Idi D; David I. J
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 1 (2024): 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.v1i1.3546

Abstract

This study investigates the modeling of some macroeconomic variables in Nigerian using multivariate monthly time series data from January 2010 to December 2019. The study examined two inflation factors which include money supply (MS) and exchange rate (ER) which are of great importance in determining inflationary effect in any economy. If MS is greater than ER then it can be said that the economy is experiencing rise in inflation and vice versa. Based on the analysis of implementing a vector autoregressive model to the data at stationarity using the Augmented Dickey–Fuller (ADF) test, Inflation rate (IR) was found to be significant only at lag 2 of IR. However, MS was found to be significant at lag 1 of ER and ER was significant at lag 1 and lag 2 of ER. The impulse response function plots clearly showed an unstable IR on MS and ER but at the later end of the periods, Nigeria IR tends towards a positive stability on MS and ER, respectively.
In Vitro Evaluation of Water and Ethanol Leaf Extracts of Moringa Oleifera Azadirachta Indica and Carica Payaya Against the Growth of Postharvest Fungal Pathogens of Pineapple (Ananas comosus (L) Merr.) Amadioha A. C; Anidobu R. J
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 1 (2024): 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.v1i1.3548

Abstract

Fungi are primary infectious agents of agricultural products that cause significant economic losses of stored food products in Nigeria. Natural plant materials as alternative to synthetic pesticides are eco-friendly, readily available, biodegradable and cost effective. Pathogenicity test of fungal isolates from infected pineapple showed Rhizopus stolonifer, Aspergillus niger and Fusarium solani as pathogenic organisms causing postharvest deterioration of pineapple fruits. The in vitro evaluation of water and ethanol leaf extracts of Moringa oleifera, Azadirachta indica (Neem), and Carica payaya (pawpaw) was carried out to determine the antimicrobial potential of the plant extracts against the spore germination and mycelial radial growth of R. stolonifer, A. niger and F. solani causing rot disease of pineapple in storage. The ethanol and water leaf extracts of A. indica, M. oleifera and C. papaya evaluated as antifungal agents against the three pathogenic fungi in vitro exhibited varying levels of fungitoxicity on the spore germination and mycelia radial growth of the pathogens in culture. The inhibition of spore germination of the pathogens was in a dose dependent manner with 100 % concentration of Neem leaf extract being more potent in inhibiting the spore germination of the pathogens followed by pawpaw and Moringa leaf extracts. The effect of the plant extracts on the mycelia radial growth inhibition of the pathogenic organisms in culture was also concentration dependent with the extracts being more effective from 40% concentration across the test plant materials. However, ethanol leaf extracts were more effective than water extracts in inhibiting the spore germination and mycelia radial growth of the pathogenic organisms in culture indicating that the solvent of extraction affected the fungitoxic activities of extracts of the plant materials with ethanol extracting more active compounds than water as extracting solvent. The antifungal potentials of the test plant materials could be exploited as biopesticide of plant origin in the control of postharvest microbial deterioration of pineapple and sustain the nutritional and market values.
Influence of Psychological Distress and Burnout on Quality of Life Among Road Safety Employees in Benue State Sector Command Danladi Zakariah; Elvis O. Ihaji; Samuel T. Anhange
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 1 (2024): 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.v1i1.3549

Abstract

This study investigated the influence of psychological distress and burnout on quality of life among Road Safety Employees in Benue State Sector Command. The study employed cross sectional and expost facto design where 200 participants consisting of 161 (80.5%) males, 37 (18.5%) females and 2 (1.0%) did not indicate their sex. Their ages ranged from 21-60 years with means age of 35.55 (SD=7.21). Kessler psychological Distress scale (K10), Maslach Burnout Inventory (MBI) and quality of Life Scale (WHOQOL) were used for data collection using Multistage, Stratified random and systematic sampling techniques. Statistical analysis involved the use of multiple regression. Findings indicated that, there was a significant negative influence of psychological distress and burnout on quality of life among Road Safety Employees in Benue State Sector Command. On individual basis, psychological distress had a significant negative on physical health, psychological health and social relationship, except for environmental mastery that proved to be insignificant. Furthermore, there was significant joint influence of burnout on the overall quality of life among Road Safety Employees in Benue State Sector Command. On individual basis, burnout significantly influenced physical health, psychological health, social relationship and environmental mastery. Finally, there was a significant joint influence of psychological distress and burnout on overall quality of life among Road safety employees in Benue State Sector Command. On the dimensions of quality of life, psychological distress and burnout jointly influenced physical health, psychological health, social relationship and environmental mastery dimensions of quality of life significantly. Based on the findings of this study, it was recommended that conscious efforts should be made to enhance quality of life among Road Safety Employees through reduction of psychological distress and burnout inherent among Road Safety Employees in Benue State Sector Command in particular and Nigeria at large.
Appication of Numerical Simulations to the Study of Spread and Control of COVID-19 in Nigeria Okorie Charity Ebelechukwu; Haruna Yusuf; Bala Ma’aji Abdulhamid; Hina Aliyu Danladi
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 1 (2024): 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.v1i1.3550

Abstract

Corona virus is a disease that started by putting human being into the state of fear. It is the most dreaded disease that created an indelible mark that all the countries in the world cannot forget in a hurry. The emergency of COVID-19 motivated the researchers into carrying out research work so as to see if there is a way to control its spread thereby preventing the incessant death associated with COVID-19. From the literatures, we observed that some areas have been covered but we observed that quarantine, vaccination and partial immunity were not covered. This prompted this research. The aim is to determine the impact of vaccination and partial immunity on the transmission dynamics of COVID-19. To achieve this, we carried out numerical simulation so as to find out if quarantine, vaccination and partial immunity have impact in the spread and control of COVID-19, using the data we obtained from National Centre for Disease Control, World Meters and from Literatures The analysis was carried with the aid of Maple 2023 software. The results show that quarantine, vaccination and partial immunity has impact in the spread and control of COVID-19. We therefore recommend that incomplete doses of the vaccines should be avoided for effective control of the disease. Health workers should ascertain the health condition of a patient before discharging such patients so as to prevent partial immunity.
Trigonometric-Fitted One-Step 3 Points Hybrid Block Method for the Solution of Stiff and Oscillating Problems Raymond Dominic; Adedokun Opeyemi Benjamin; Olanrewaju Philip Oladapo
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 1 (2024): 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.v1i1.3551

Abstract

This paper introduces a novel Trigonometric-Fitted One-Step 3 Points Hybrid Block Method tailored for addressing the complexities associated with stiff and oscillating differential equations.The continuous hybrid technique was created using the interpolation method and the collocation of the trigonometrical function as the basis function. It was then eval_uated at non-interpolating points by inculcating the transformation method to produce a continuous block method. When the continuous block was assessed at each stage, the discrete block approach was regained. Upon investigation, the fundamental characteristics of the techniques were discovered to be zero-stable, consistent, and convergent. The new method is used to solve a few stiff and oscillatory ordinary differential equation problems. Comparisons of numerical results of the derived methods, it was found that our approach provides a better approximation than the existing method cited in the reference. AMS subject classification: 65L05, 65L06, 65L20
Farm Level Productivity and Profitability of Records Keeping Cassava Farmers in Udenu Local Government Area, Enugu State, Nigeria Udeme Henrietta Ukpe; Miriam Uchechi Eze
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 1 (2024): 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.v1i1.3629

Abstract

Record keeping plays a crucial role in various aspects of organizational functioning. Maintaining accurate records is essential for effective financial management and serves as a valuable resource for operational management and decision-making. This study assessed the farm-level productivity and profitability of cassava farmers who keep records in Udenu Local Government Area of Enugu State, Nigeria. The specific objectives were to analyze the productivity of these cassava farmers, evaluate their profitability, and describe the constraints they face. A multistage sampling procedure, incorporating simple random sampling, was used to collect data from 77 cassava farmers who keep records. The data were analyzed using descriptive statistics, ordinary least squares regression, and gross margin analysis. The findings indicated that labor significantly increased cassava productivity, while the amount of credit used, stem cuttings, and farm size negatively impacted productivity. Additionally, cassava production was found to be profitable, with a gross margin of ₦115,331.95 per hectare of land cultivated and a return on investment of ₦1.47 for every Naira invested. The constraints faced by cassava farmers included high labor costs, limited farmland, a lack of improved varieties, poor road networks, and insufficient access to extension agents. To address these issues, it is recommended to tailor credit products to meet the specific needs of farmers, such as offering seasonal loans, working capital loans, or loans for specific farming activities. Furthermore, efficient land use planning, considering factors like crop rotation and diversified crops, could help maximize the land's potential.
Energy Analysis of Industrial Boilers: A Case Study of the Coca-Cola Challawa Plant in Kano, Nigeria Mika’il Alhaji Abdulkareem; Paul O. Udom; M. T. Jimoh
African Multidisciplinary Journal of Sciences and Artificial Intelligence Vol 1 No 1 (2024): 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.v1i1.3681

Abstract

The industrial sector heavily relies on boiler systems for various operations, making them significant energy consumers. As a result, it becomes imperative to conduct comprehensive analyses to assess their efficiency and identify areas of energy loss. This study employs energy analysis based on the first law of thermodynamics to precisely determine the efficiency and the primary contributors to energy losses within the boiler system. The research encompasses a detailed examination of both the combustion chamber and the steam production chamber of the boiler. The analysis reveals that the energy efficiency of the combustion chamber stands at an impressive 82%, signifying its effectiveness in converting fuel into usable energy. Conversely, the steam production chamber operates at a slightly lower efficiency of 69%. Taking into account both components, the overall energy efficiency of the entire boiler system is calculated at 71%. This consolidated figure serves as a critical benchmark for assessing the system's performance and initiating potential improvements. Among the key findings, it is evident that preheating the feed water using the flue gas emerges as the most promising strategy to minimize energy losses. This conclusion underscores the importance of implementing energy-efficient practices to enhance the overall productivity of industrial boiler systems. The energy efficiency and losses within an industrial boiler system, offer valuable insights into its performance. The research emphasizes the importance of energy-saving techniques, such as preheating feed water, to enhance efficiency and reduce losses, adopting a more sustainable and cost-effective in the industrial sector.

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