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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 165 Documents
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Enhancing the Daftardar Jafari Method for Solving the Bagley–Torvik Equation through Numerical Approaches Saje, A. A; Kwami, A. M; Madaki, A. G; O, Okai J.; Waziri, I. M.; Hafsat, Yakubu
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.v3i2.5337

Abstract

A robust algorithm is introduced in the development of the Enhanced Daftardar Jafari Method (DJM) to effectively address both linear and nonlinear Bagley–Torvik equations (BTE) and other fractional order differential equations. The method's efficacy is demonstrated through numerical examples, showcasing its ability to solve these equations without resorting to linearization or small perturbations. The results affirm the method's strength, accuracy, and simplicity in comparison to alternative approaches.
Theoretical Study of Electrical Properties of a Germanium and Gallium Arsenide P-N Junction Diode in an Open Circuit Kazeem, Bello Adekunle
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.v3i2.5338

Abstract

Theoretical study of electrical properties of a Germanium and Gallium arsenide p-n junction diode in an open circuit is investigated using one dimensional Poisson equation. It is assumed that the conduction electrons and holes obey Boltzmann equation of statistical mechanics. The comparison of electrical properties variation within the p-n junction for the two semi-conductor materials is describe and discussed. There is high intrinsic concentration in elemental semiconductor , while the bond existing in doped semiconductor results in lesser value. The corresponding electron and hole concentrations, the temperature values are within (200 – 500) K. The curves for a plane p-n junction in germanium and gallium arsenide are presented in figures 2 and 3.
Application of Time Series Decomposition Techniques of Admission Patterns in Orphanage Homes Ononuju, Emmanuel Fidel; Isah, Audu; ThankGod, Joshua
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.v3i2.5356

Abstract

This study applies decomposition technique on the admission of orphans and vulnerable children (OVC) into orphanage homes. Present studies have dwelt more on the number of OVC, the estimation of the parents that are dead, and the socioeconomic well-being of OVC. Hence, there is need to study the pattern of OVC admittance. Monthly data were collected from Niger state orphanage home register and documented for a period of twenty years (2000-2020). A time series decomposition analysis was carried out to determine an appropriate model, investigate the trend of admission of OVC, and establish if there is a seasonal pattern in the series. Results showed that the pseudo-additive model was most appropriate for the series which showed a decreasing linear trend. The study also showed that there is a seasonal pattern that has the second and third quarters of the year with the highest incidence of admission into orphanage home.
Survival Analysis on Breast Cancer Incidences in Ikeja, Lagos Nigeria Using Kaplan Meier and Cox Proportional Hazard Techniques M., Ajao Olutunde; A., Afariogun David; O., Ayeni Elizabeth; O., Egbe Kehinde
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.v3i2.5365

Abstract

This study investigates breast cancer survival outcomes in relation to treatment types, using retrospective data sourced from the Oncology Department at Lagos State University Teaching Hospital (LASUTH). Employing survival analysis techniques—specifically the Kaplan-Meier method for estimating survival probabilities and the Cox Proportional Hazards model to examine the influence of demographic factors—the study measured survival time from diagnosis to either death or the last known follow-up. The event of interest was the patient’s vital status. Results indicated that while breast cancer affects all genders, females are nearly twice as likely to be diagnosed as males. Age was also a significant determinant of survival, with older patients exhibiting a higher risk of mortality, as shown by increasing hazard ratios. These findings highlight the importance of early detection, particularly in younger individuals, as a critical strategy to enhance survival prospects.
Energy Poverty in Sub-Saharan Africa: Policy Implications for Vietnam Bui, Tu Ngoc
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 3 (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.v3i3.7455

Abstract

Energy poverty—defined by inadequate access to reliable and affordable energy services—continues to pose a major barrier to economic development, agricultural productivity, and environmental sustainability in Sub-Saharan Africa (SSA). This study explores the complex interrelationship between energy poverty, environmental degradation, and agricultural productivity in SSA, with the aim of extracting policy insights relevant to Vietnam, a developing country facing similar rural energy access challenges. Drawing on a comprehensive literature review and empirical evidence from SSA, the study identifies that rural electrification significantly boosts agricultural productivity, while environmental degradation exerts a detrimental effect. The impact of renewable energy adoption is found to be context-dependent, with both enabling and constraining factors. Using qualitative synthesis and comparative case study analysis, the research contextualizes these findings within Vietnam’s rural development landscape. The results suggest that Vietnam can strengthen energy access and agricultural outcomes by expanding rural electrification programs, investing in decentralized renewable energy systems, and enforcing environmental regulations to prevent resource degradation. Policy recommendations include promoting public-private partnerships, supporting digital innovations for precision agriculture, and tailoring energy strategies to local socio-economic conditions. By leveraging lessons from SSA’s experiences, Vietnam can make strategic progress toward achieving energy equity and sustainable development in its rural sectors.
A Decade of Fuel Price Fluctuations: The Trend and Their Inflationary Effects in Nigeria (2014-2024) Ayenigba, Alfred Ayo
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.v3i2.5438

Abstract

This study examines the decade-long (2014–2024) relationship between petrol price fluctuations and inflation in Nigeria, a petroleum-dependent economy grappling with fuel subsidy reforms, currency instability, and global oil market shocks. Leveraging quantitative analysis of annual data from the National Bureau of Statistics (NBS), Central Bank of Nigeria (CBN), and Nigerian National Petroleum Corporation (NNPC), the research employs time series trend analysis, Pearson’s correlation (r = 0.93), and linear regression modeling ( ​) to reveal that petrol price changes explain 87.1% of inflation variance (R2=0.871). The 2023 total subsidy removal triggered catastrophic spikes, with petrol prices surging 300% (₦617 to ₦1,030/liter) and inflation peaking at 34.8% in 2024, disproportionately burdening low-income households and SMEs. Policy recommendations advocate fazed subsidy removal paired with social safety nets, renewable energy investments to reduce petrol dependency, and modular refinery development to curb import costs. This study provides a framework for mitigating fuel-driven inflation in resource-dependent economies.
A Study on the Comparative Diagnostic Performance of Polymerase Chain Reaction, Rapid Diagnostic Technique and Microscopy in the three Northern Local Government Area of Taraba State, Nigeria Sylvester, Chibuzor Obiorah; Emmanuel, Allahnanan; Njideka, Peace Christopher; Duke, Chukwuebuka Igboaka
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.v3i2.5442

Abstract

This study is conducted to compare diagnostic performance of Polymerase Chain Reaction, Rapid Diagnostic Techniqu`e and Microscopy. Nested PCR, RDT and Microscopy methods were used to screen for P. falciparum in the study populations. From site Jalingo, 85(75.9%), 70(62.5%) and 97(86.6%) samples were positive using nested PCR, RDT and Microscopy, while 27(24.1%), 42(37.5%) and 15(13.4%) were negative respectively. For site Zing, 85(73.3%) were positive for PCR, while 31(26.7%) were negative; 81(69.8) were positive for RDT and 35(30.1) were negative, while 104(89.7%) were positive with Microscopy and 12(10.3%) negative. Also, 82(75.2%), 50(45.9%) and 103(94.5%) were positive respectively for nested PCR, RDT and Microscopy, while 27(24.8%), 59(54.9%) and 6(5.5%) were negative respectively for the methods from site Lau. In all, microscopy method record the highest number of positive samples. The number of True Positive (TP) and True Negative (TN) recorded are 85 and 11 for PCR and 75 and 5 for Microscopy in Jalingo, 85 and 14 for PCR and 77 and 4 for Microscopy in Zing and 82 and 9 for PCR and 82 and 6 for Microscopy in Lau. The specificity and sensitivity of RDT from Jalingo, Zing and Lau are respectively 47.8% & 95.5%, 51.8% & 95.5% and 50.0% & 96.9%. Also, the specificity and sensitivity of Microscopy are 18.55% & 88.2%, 12.9% & 90.6% and 22.2% and 100% respectively. Owing to the higher sensitivity of the PCR method compared to Microscopy and RDT, P. falciparum detection by PCR was used as the reference method. From study site Jalingo, 22 (19.6%) and 5 (4.5%) false positive results Microscopy and RDT were negative for PCR and 10 (4.5%) and 20 (9.0%) false negatives Microscopy and RDT. This shows that Microscopy has a four-fold false positive detection error rate than RDT, while RDT has a two-fold false negative detection error rate. 56 (50%) were positive for the three methods. From study site Zing, the number of false positive for Microscopy and RDT are respectively 27 (23.3%) and 8 (6.9%), while PCR corrected that were false negatives were 8 (6.9%) and 12 (10.3%) respectively. Also from site Lau, 21 (19.3%) false positives were recorded for Microscopy, while only 2 (1.8%) were recorded for RDT. Microscopy had 0 (0%) false negatives while RDT has 34 (31.2%) that were nested PCR corrected. The same trend in the number of false positives and false negatives was observed in all the three sites, while Microscopy generally has higher false positive rate, RDT has a higher false negative rate. This study underscores the clinical utility of hematological and biochemical parameters in malaria management, particularly in resource-limited settings like Nigeria. The findings highlight the importance of comprehensive diagnostic approaches and suggest integrating these adjunct tools into malaria treatment protocols to enhance patient care and outcomes.
Assessment of Allelic Distribution and Multiplicity of Infection in the Three Northern Local Government Area, Taraba State, Nigeria Sylvester, Chibuzor Obiorah; Emmanuel, Allahnanan; Njideka, Peace Christopher; Duke, Chukwuebuka Igboaka
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.v3i2.5465

Abstract

All the three allele types for MSP1- K1, MAD20 and RO33 and of MSP2- 3D7 and FC27 were identified in Zing and Lau, except in Jalingo where RO33 of the MSP1 family was not amplified. In Jalingo, mono-infection was observed in K1 with the highest frequency of 28 (25%) and MAD20 3 (2.7%). RO33 mono-infection was not seen. Mixed infection was seen in K1+MAD20, 13 (11.6%), K1+RO33, 12 (10.7%) and K1+MAD20+RO33, 15 (13.4%). In Zing, unlike Jalingo K1 has the lowest allele frequency 3 (2.6%) for mono-infections, MAD20 23 (19.8%) and RO33 26 (22.4%) with the highest frequency. Mixed infections include K1+MAD20 4 (3.4%), K1+RO33 1 (0.9%), MAD20+RO33 11 (9.5%) and K1+MAD20+RO33 17 (14.7%). In Lau, 10 (9.2%) alleles were found for K1, 20 (18.3%) for MAD20 and 4 (3.7%) RO33 mono-infections. Mixed infections include 32 (29.4%) K1+MAD20 with highest frequency, 2 (1.8%) k1+RO33, 4 (3.7%) MAD20+RO33 and 2 (1.8%) K1+MAD20+RO33. For the MSP2 family, 24 (21.4%) 3D7, 11 (9.8%) FC27 and 33 (29.5%) mixed infection of 3D7+FC27 in Jalingo. In Zing, 28 (24.1%) 3D7, 15 (12.9%) FC27 and 42 (36.2%) mixed infection of 3D7+FC27. Also, in Lau, 30 (27.5%) 3D7, 12 (11.0%) FC27 and 38 (34.9%) mixed infection of 3D7+FC27. The allelic diversity of P. falciparum MSP1 and MSP2 is mostly due to meiotic recombination events involving genetically distinct parasite clones that infect the same mosquito vector, and hence, human host. Therefore, the proportion of mixed infections and the number of clones per individual is one of the prerequisites to generate new genotypes and to increase the diversity of the parasitic population. Multiple clonal infections with different genotypes of P. falciparum were identified among the P. falciparum isolates in the study locations with a moderately high Multiplicity of Infection (MOI). Haematological and biochemical tools are recommended as an adjunct tool in the management of malaria infection especially in underdeveloped countries like Nigeria.
Prevalence of Plasmodium falciparum Infection Among Patients Attending Health Facilities in Northern Taraba State, Nigeria Sylvester, Chibuzor Obiorah; Emmanuel, Allahnanan; Njideka, Peace Christopher; Duke, Chukwuebuka Igboaka
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.v3i2.5466

Abstract

Plasmodium falciparum remains the primary cause of malaria-related mortality, particularly in sub-Saharan Africa, representing a significant global health challenge. This study aimed to assess the prevalence of P. falciparum infection among patients attending health facilities across the Northern Local Government Areas of Taraba State. Employing a prospective cross-sectional design, the study enrolled 1,500 participants who underwent testing for P. falciparum using Giemsa-stained blood film examination, Rapid Diagnostic Tests (RDT), and Polymerase Chain Reaction (PCR). Hematological parameters, including Packed Cell Volume (PCV), white blood cell counts, and erythrocyte sedimentation rate (ESR), along with biochemical markers such as albumin, bilirubin, and electrolyte levels, were also assessed. The results indicated that Jalingo had the highest prevalence at 25.4%, followed by Lau with 18.8%, which is lower than the 45% reported in the same local government area (Adiel et al., 2021). Zing exhibited the lowest prevalence at 16.6%, marking this study as the first reported malaria investigation in the Zing Local Government Area. Contrary to expectations, Jalingo, the state capital, showed a higher prevalence of malaria, suggesting factors such as socio-environmental lifestyles, rural-urban migration, artificial vector breeding sites, urban agriculture, and reduced immunity among urban dwellers may contribute to this trend. The overall prevalence of malaria across the three sites was 20.27%. These findings emphasize the need for comprehensive diagnostic strategies and advocate for the integration of adjunct tools into malaria treatment protocols to improve patient care and outcomes.
Mathematical Model of Transmission Dynamic of Ebola Virus Disease Yohanna, Samuel; Adamu, M. M; Hina, A. D; O, Okai J.; Jeremiah, Adejoh
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.v3i2.5535

Abstract

This study investigates the impact of treatment and vaccination on the transmission dynamics of Ebola virus disease (EVD) within human populations, as well as the effects of environmental factors on vector populations. We formulated a system of ordinary differential equations (ODEs) to model these dynamics and applied the method of linearized stability analysis to solve the equations. The stability analysis revealed that the disease-free equilibrium (DFE) states of the models remain stable when certain parameters—specifically, the treatment rate in the human population and the recovery rate in the vector population—are appropriately adjusted. Numerical simulations demonstrated that achieving a disease-free equilibrium state requires simultaneous treatment and vaccination of the population. The findings highlight the necessity of integrated intervention strategies to effectively control EVD transmission, contributing valuable insights for public health policy and future research on infectious disease management.

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