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Journal of Multidisciplinary Science: MIKAILALSYS
Published by Lembaga Yasin Alsys
ISSN : 29873924     EISSN : 29872286     DOI : https://doi.org/10.58578/mikailalsys
Core Subject : Science, Education, Agriculture, Social, Engineering,
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Environmental Science Physics Social Sciences Other
Journal of Multidisciplinary Science : MIKAILALSYS [2987-3924 (Print) and 2987-2286 (Online)] is a double blind peer reviewed and open access journal to disseminating all information contributing to the understanding and development of Multidisciplinary Science. Its scope is international in that it welcomes articles from academics, researchers, graduate students and policy makers. The articles published may take the form of original research, theoretical analyses, and critical review. All articles should be in English or Arabic. MIKAILALSYS publishes 3 editions a year in April, August, and December (Unless there is co-publication with conference organizers). MIKAILALSYS journal has been indexed by Harvard University, Boston University, Dimensions, Scilit, Crossref, Web of Science Garuda, Google Scholar, and Base.
Arjuna Subject : Umum - Umum
Articles 157 Documents
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Morphometric-Based Investigation of Genetic Diversity Among Mango (Mangifera indica L.) Populations in the Ecosystems of Lagos and Ogun States, Southwestern Nigeria Afariogun, Moses Sunday; Ibrahim, Omeyiza Micheal
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (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.v3i2.5594

Abstract

Mango (Mangifera indica L.), regarded as the "king of fruits," holds a critical position in the Nigerian diet, ranking second only to banana in terms of consumption. This study was conducted to assess the morphometric diversity of mango in Lagos and Ogun States, located in Southwest Nigeria. A total of forty mango varieties were analyzed, comprising twenty accessions collected from different locations within each state. Morphological evaluation was based on the International Plant Genetic Resources Institute (IPGRI) descriptors for mango. Both qualitative and quantitative morphological traits, including leaf, inflorescence, and fruit characteristics, were systematically assessed through field observations and laboratory analyses. Significant variability was recorded among the mango accessions, particularly in qualitative traits such as immature leaf color, leaf shape, inflorescence axis structure, flower color, flower type, fruit shape, fruit skin color, and fruit skin texture. The observed morphological diversity highlights the genetic richness present in the mango populations of the studied regions, offering valuable insights for future breeding and conservation programs.
Enzymatic Bioremediation of Polyethylene Terephthalate Contaminated Environment Odoma, Omachonu Alkali; Titus, Stephen Dio; Tatah, Silas Verwiyeh; Ezeonu, Chukwuma Stephen
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (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.v3i2.5612

Abstract

Enzyme-based bioremediation has emerged as a sustainable and eco-friendly approach to mitigating environmental pollution caused by plastic wastes, pesticides, heavy metals, and industrial effluents. This article explores recent advancements in enzymatic degradation, using polyethylene terephthalate hydrolase (PETases) and mono(2-hydroxyethyl) terephthalate hydrolase (MHETases) for polyethylene terephthalate (PET) breakdown, enzymatic mechanisms for bioleaching. PET is one of the most widely used synthetic plastics, contributing significantly to global plastic pollution due to its persistence in the environment. Conventional methods of PET disposal, such as incineration and landfilling, have proven to be inefficient and hazardous to the environment. In contrast, enzymatic biodegradation offers a promising eco-friendly solution to tackle PET biodegradation through the use of specialized enzymes like PETase and MHETase. We explore the mechanisms of PET biodegradation with focus on key enzymes and their catalytic pathways. Furthermore, the discovery, structure, and activity of PETase, the role of MHETase in processing degradation intermediates, and the contributions of corroborating enzymes such as cutinases, lipases, and esterases were also examined. Despite the promising potential of enzymatic PET degradation, several challenges remain, including enzyme, inefficiency in product recovery, and biosafety concerns associated with genetically modified organisms. In the same vein, regulatory hurdles and the need for standardization in bioremediation practices are discussed. Future research should focus on; the integration of enzymatic biodegradation into the circular bioeconomy, the use of artificial intelligence in enzyme design and the importance of global collaborations in advancing bioremediation strategies.
Ecological Risk Assessment of Heavy Metal Contamination from Artisanal and Small-scale Mining: A Case Study of Mayo-Sinna, Ngoroje in Sardauna L.G.A, Taraba State, Nigeria Garkida, David Musa; Oruenye, Daniel Emeka; Mohammed, Yushau Ahmed; Leila, Delphine David
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (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.v3i2.5644

Abstract

This study assessed the ecological risk of heavy metal contamination from artisanal and small-scale mining (ASM) activities in Mayo-Sinna, Nguroje (Sardauna L.G.A, Taraba State, Nigeria). Soil samples from mining and control sites were analyzed for cadmium (Cd), lead (Pb), cobalt (Co), copper (Cu), chromium (Cr), zinc (Zn), nickel (Ni), manganese (Mn), and iron (Fe) using atomic absorption spectrophotometry (AAS). Results revealed elevated Pb (0.1085 ppm) and Fe (1.4060 ppm) concentrations in mining sites exceeding World Health Organization (WHO) and Nigerian Standard for Drinking Water Quality (NSDWQ) guidelines, consistent with contamination patterns observed in other ASM regions. However, unexpected findings included lower Cu (-0.1964 ppm) and Zn (0.0789 ppm) levels in mining sites compared to control areas (1.5000 ppm and 2.7300 ppm, respectively), suggesting complex site-specific geochemical dynamics. Negative values for Cd, Co, and Cu indicated potential analytical interferences requiring methodological refinement. While Cr (0.0603 ppm) and Ni (0.0298 ppm) remained below regulatory thresholds, their presence warrants continued monitoring. The study highlights the need for improved mining practices and enhanced environmental monitoring protocols to mitigate heavy metal pollution in ASM communities. These findings contribute to the growing body of knowledge on mining-related environmental degradation in West Africa and underscore the importance of context-specific risk assessments for effective remediation strategies.
Spatiochemical Analysis of Heavy Metal Contamination in Water Sources from Langalanga Mining Site, Bali L.G.A, Taraba State, Nigeria Garkida, David Musa; Oruenye, Daniel Emeka; Mohammed, Yushau Ahmed; Leila, Delphine David
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (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.v3i2.5645

Abstract

Mining activities in developing nations like Nigeria drive economic growth but often result in environmental degradation, particularly through heavy metal contamination of water resources. This study assessed the concentrations of heavy metals, including cadmium (Cd), lead (Pb), chromium (Cr), and iron (Fe) in water samples from the Langalanga mining site in Bali L.G.A, Taraba State, Nigeria. Using Atomic Absorption Spectrophotometry (AAS), the analysis revealed significant exceedances of World Health Organization (WHO) and Nigerian Standard for Drinking Water Quality (NSDWQ) limits for iron (1.0465 ppm vs. 0.3000 ppm) and lead (0.0348 ppm vs. 0.0100 ppm). While manganese (Mn) and nickel (Ni) levels remained below thresholds, anomalies such as negative values for copper (Cu) and zinc (Zn) in control samples indicated potential analytical challenges. The findings underscore the urgent need for stricter regulatory enforcement and remediation measures to mitigate health risks, such as neurological disorders and liver damage, associated with prolonged exposure. This study highlights the dual necessity of standardized methodologies and site-specific approaches in addressing mining-related water pollution in Nigeria.
Assessing the Prevalence and Risk Factors of Malaria Among School Pupils in Muhammad Nya Nursery and Primary School, Jalingo, Taraba State, Nigeria Emmanuel, Allahnanan; Sylvester, Chibuzor Obiorah; Wayas, Grace Fred; Njideka, Peace Christopher; Ajiya, Rasheedat Saidu
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (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.v3i2.5647

Abstract

Malaria remains a significant public health challenge in sub-Saharan Africa, particularly among school-aged children who face increased exposure to mosquito vectors. This cross-sectional study assessed the prevalence of malaria and associated risk factors among 100 pupils (aged 6–12 years) at Muhammad Nya Nursery and Primary School in a malaria-endemic region. Using rapid diagnostic tests (RDTs) and structured questionnaires, we found an overall malaria prevalence of 82.0%, with no statistically significant differences by age group (χ² = 0.581, p > 0.05) or sex (male: 82.8%; female: 81.0%; χ² = 0.054, p > 0.05). However, environmental and behavioral risk factors showed strong associations: stagnant water near households (93.4% vs. 45.8%; χ² = 27.985, p = 0.000), non-use of mosquito nets (96.4% vs. 64.4%; χ² = 17.084, p = 0.000), absence of indoor insecticide spraying (92.3% vs. 62.9%; χ² = 13.368, p = 0.000), and infrequent cleaning of mosquito breeding sites (94.6% vs. 65.2%; χ² = 8.474, p = 0.014) were all linked to higher infection rates. These findings underscore the critical role of environmental management and preventive measures in malaria control. While consistent with broader literature on risk factors, the study highlights the need for context-specific interventions, improved community education, and stronger policy implementation to reduce malaria burden among schoolchildren. Limitations include small sample sizes in some age groups and reliance on self-reported data, suggesting avenues for future research with larger samples and molecular diagnostics.
A Review: The Role of Electrical Resistivity in Groundwater Exploration and Management Ogunkoya, Charles Olubunmi
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (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.v3i2.5666

Abstract

The review paper explores the use of electrical resistivity techniques to explore and manage groundwater, providing vital insights into aquifer properties and the behavior of groundwater. It delves into the principles and applications, limitations, and potential future developments. Groundwater is a very important water source for sustainable development, especially in dry areas thereby making effective groundwater exploration essential. Geophysical techniques like vertical electrical resistivity soundings (VES) and electrical resistivity tomography (ERT) are some of the methods used in analyzing subsurface characteristics and the behavior of aquifers. These methods allow the identification of hydrogeological parameters such as water saturation, porosity, and aquifer boundaries. This article further explores how instrumentation advancements, machine learning, and integrated approaches also improve accuracy in subsurface imaging despite geological complexities and interpretation ambiguities. The resistivity methods have proven effective in coastal aquifers, detecting saltwater intrusion, and monitoring groundwater quality.
Mathematical Analysis of the Impact of Climate Factors and Agricultural Practices on Rice Yield in Nepal: A Time Series Data Analysis Poudel, Omkar; Kumar, Nand Kishor; Acharya, Pradeep; Sharma, Deep Raj; Sahani, Suresh Kumar
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (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.v3i2.5725

Abstract

Rice is a staple food and a crucial element of Nepal’s agrarian economy; however, its yield is significantly affected by climatic factors such as rainfall and temperature, as well as agricultural practices like pesticide use. Understanding these dynamics is essential for sustaining productivity in the face of climate change. This study employs an Autoregressive Distributed Lag (ARDL) model to analyze 33 years of time-series data (1990–2022), focusing on key variables including rice yield, temperature, rainfall, and pesticide use, all derived from secondary data sources. Diagnostic tests confirmed normality (????=0.06), absence of serial correlation (????=0.58), and homoscedasticity (????=0.68), with stability validated through CUSUM and CUSUMSQ tests. The results indicate that temperature has a significant positive long-term impact on rice yield (????=2181.48, ????<0.05), suggesting that moderate warming can enhance productivity. Rainfall exerts a marginal positive effect (????=5.10, ????=0.05), while pesticide use shows a strong correlation with yield (????=17.70, ????<0.01). The Granger Causality Test identifies temperature (????=7.76, ????<0.01) and pesticide use (????=11.25, ????<0.01) as critical predictors of rice yield. These findings demonstrate that while temperature and pesticide use significantly affect rice yield, the impact of rainfall is diminished due to effective irrigation systems. Nevertheless, the heavy reliance on pesticides raises sustainability concerns, underscoring the necessity for integrated pest management and environmental safeguards. This study advocates for the adoption of climate-smart agricultural practices, enhancement of irrigation infrastructure, and promotion of sustainable pesticide management, offering actionable insights for policymakers to devise adaptive strategies that bolster resilience and productivity in Nepal’s rice sector.
Application of Linear Probability Model to Road Traffic Crash Ogunmola, Adeniyi Oyewole; Ogebe, Victor Ajibo; Onowuzou, James Oruarooghene
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (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.v3i2.5777

Abstract

Road traffic crashes remain a critical public health and safety concern, particularly in developing countries such as Nigeria, where they constitute one of the leading causes of mortality and injury. This study investigates the likelihood that a road traffic crash in each of Nigeria’s six geopolitical zones and in the country as a whole results in a minor incident. Quarterly data on road traffic crashes were sourced from the official database of the Federal Road Safety Corps and analyzed using a linear probability model. The model estimates the probability of a crash being categorized as minor across regions. Findings indicate that the probability of minor road traffic crashes is consistently below 20 percent in all zones and nationally, suggesting that the majority of reported crashes result in major damage or casualties. These results point to a concerning trend in crash severity across Nigeria. The study highlights the urgent need for enhanced traffic safety interventions, stricter enforcement of road regulations, improved vehicle and infrastructure standards, and more effective emergency response systems. Emphasizing preventative strategies and public awareness campaigns could help shift the balance toward more minor, less harmful outcomes when crashes do occur. Ultimately, the goal should be to ensure that in the event of a road traffic crash, the incident remains minor in nature, minimizing harm to life and property.
Effect of Collaborative Instructional Approach on Personality Traits in Geometry Achievement Among Secondary School Students in Zing Education Zone, Taraba State Bulus, Shiaki O.; Yukwa, Bernard A.
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (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.v3i2.5808

Abstract

This study investigates the effect of a collaborative instructional approach (CIA) on geometry achievement among secondary school students in Taraba State, Nigeria, with particular attention to the moderating role of personality traits. The study focused on three personality dimensions, agreeableness, conscientiousness, and openness to experience, examining how each interacts with instructional methods (CIA vs. traditional lecture) to influence academic performance. Guided by four research objectives, questions, and hypotheses, the study employed a quasi-experimental pre-test/post-test design. A total of 295 students from the Zing Education Zone participated, with grouping based on their dominant personality traits as measured by a validated inventory (Cronbach’s α = 0.95). Students received instruction in geometry using either the collaborative instructional approach or the lecture method. Descriptive statistics (mean and standard deviation) were used to address the research questions, while analysis of covariance (ANCOVA) tested the hypotheses at the 0.005 level of significance. The findings revealed that students with openness to experience achieved significantly lower scores when taught with the collaborative instructional approach compared to those taught using the lecture method, contrary to prevailing assumptions about learner-centered instruction. The study underscores the need for differentiated instructional strategies aligned with students’ personality profiles. It recommends targeted professional development programs, including seminars and workshops, for mathematics educators in the Zing Education Zone to enhance pedagogical responsiveness and subject mastery in meeting diverse learner needs.
Latent Tariff Gains or Losses in Food and Live Animals Trade by ECOWAS Sub-Regional Members Nyajo, D. M.; Onogwu, G. O.; Bulus, G.
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 2 (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.v3i2.5820

Abstract

This study evaluates latent tariff gains and losses in the trade of food and live animals among ECOWAS member states from 2008 to 2023, with an emphasis on assessing the effectiveness of regional trade liberalization policies. The primary objectives include estimating export and import volumes, analyzing net trade balances, and identifying disparities in trade performance across member countries. Secondary data were sourced from the UN Comtrade database and analyzed using descriptive statistics and net trade analysis. The findings reveal marked disparities in intra-regional trade, with Côte d’Ivoire, Nigeria, and Senegal emerging as dominant exporters, while countries such as Guinea-Bissau and Liberia displayed limited engagement. Export volumes peaked at 1.67 billion USD in 2017, experienced a decline during the COVID-19 pandemic (950 million USD in 2020), and subsequently began to recover. Net trade performance varied significantly; Côte d’Ivoire and Senegal consistently posted surpluses (e.g., +137 million USD for Côte d’Ivoire in 2018), whereas Burkina Faso and Niger reported persistent deficits (e.g., -49 million USD for Burkina Faso in 2021). These results underscore structural imbalances in trade flows and point to the need for coordinated policy measures aimed at reducing non-tariff barriers, enhancing trade facilitation, and supporting less competitive economies within the region. While ECOWAS has made progress toward regional integration through trade liberalization, the realization of equitable economic participation demands targeted strategies to address persistent disparities and external vulnerabilities. Further research should examine the influence of political instability and international trade agreements on regional trade dynamics.

Page 13 of 16 | Total Record : 157

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