cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
M. Irwan Hadi
Contact Email
m.h4di@ymail.com
Phone
-
Journal Mail Official
ajstea@yasin-alsys.org
Editorial Address
Jalan Lingkok Pandan No 208 Kwang Datuk, Desa Selebung Ketangga, Kec. Keruak, kab. Lombok Timur, Prov. Nusa Tenggara Barat, Indonesia
Location
Kab. lombok timur,
Nusa tenggara barat
INDONESIA
Asian Journal of Science, Technology, Engineering, and Art
Published by Lembaga Yasin Alsys
ISSN : 30255287     EISSN : 30254507     DOI : https://doi.org/10.58578/AJSTEA
Core Subject : Science, Art, Social, Engineering,
Arts Computer Science & IT Engineering Social Sciences
Asian Journal of Science, Technology, Engineering, and Art [3025-5287 (Print) and 3025-4507 (Online)] is a double-blind peer-reviewed, and open-access journal to disseminating all information contributing to the understanding and development of Science, Technology, Engineering, and Art. Its scope is international in that it welcomes articles from academics, researchers, graduate students, and policymakers. The articles published may take the form of original research, theoretical analyses, and critical reviews. AJSTEA publishes 6 editions a year in February, April, June, August, October and December. This journal has been indexed by Harvard University, Boston University, Dimensions, Scilit, Crossref, Web of Science Garuda, Google Scholar, and Base. AJSTEA Journal has authors from 5 countries (Indonesia, Nigeria, Pakistan, Nepal, and India).
Arjuna Subject : Umum - Umum
Articles 253 Documents
 22   23   24   25   26 
Estimation of Binary Logistic Regression Using Three Links Function (Logit, Probit, and Complementary Log Log) in Assessing the Factor That Influence HIV Tugga H. A.; Ogunmola A. O.; Bamigbala O.A.; Ahmad S.S.
Asian Journal of Science, Technology, Engineering, and Art Vol 4 No 3 (2026): 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.v4i3.9196

Abstract

Human Immunodeficiency Virus (HIV) remains a major global public health concern, with sub-Saharan Africa accounting for a substantial proportion of the global burden of infection. In Nigeria, the HIV epidemic shows geographic and demographic variation shaped by age, sex, socioeconomic status, risk behaviors, and access to healthcare services. Understanding the determinants of HIV infection is therefore essential for effective prevention, early detection, and policy formulation. This study aimed to identify significant demographic determinants of HIV infection and determine the best-fitting binary response model among patients tested at General Hospital Takum, Taraba State, Nigeria, between 2018 and 2023. Binary logistic regression models with logit, probit, and complementary log–log link functions were applied to assess the effects of age, sex, and year on HIV infection status. Model performance was evaluated using goodness-of-fit statistics, including deviance, Pearson chi-square, and Hosmer–Lemeshow tests, as well as model selection criteria based on the Akaike Information Criterion and Bayesian Information Criterion. The results indicate a consistent decline in HIV odds across the study years, significantly higher odds among females, and substantially increased odds among adults aged 30–49 years and those aged 50 years and above. Among the three models, the complementary log–log link function demonstrated the best overall fit, with the lowest AIC and BIC values and non-significant goodness-of-fit tests. The study concludes that age, sex, and year are significant predictors of HIV infection, and that the complementary log–log model provides the most reliable framework for predicting HIV status in this population. These findings contribute to epidemiological modelling by supporting more appropriate link-function selection and offer practical implications for localized HIV prevention strategies in Taraba State, Nigeria.
Two Strains of Covid-19 Model with Vaccination and the Effect of Awareness Program on Its Control Anate A. O.; Adamu M. M.; Adamu M.S.; Kwami A. M.
Asian Journal of Science, Technology, Engineering, and Art Vol 4 No 3 (2026): 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.v4i3.9383

Abstract

The Covid-19 outbreak and the subsequent emergence of different viral strains posed a serious global public health challenge. This study proposes a mathematical model to analyze the transmission dynamics of two different Covid-19 strains and examine the effect of awareness on disease control. The study established the basic mathematical properties of the model, analyzed the disease-free and disease-endemic equilibria for both strains, conducted stability analysis, and computed the basic reproduction number, defined as R₀ = max(R₁, R₂). Stability conditions were examined for the strain-specific reproduction numbers, including cases in which R₁ < 1 while R₂ > 1 and R₂ < 1 while R₁ > 1. Numerical simulations were also conducted to support the analytical results and further illustrate the model dynamics. The findings show that increased awareness enhances vaccination uptake and reduces the basic reproduction number, thereby contributing to the control of disease transmission. The study concludes that awareness-based interventions play an important role in controlling the spread of Covid-19 strains through improved vaccination behavior and reduced transmission potential. These findings contribute to mathematical epidemiology by demonstrating the relevance of awareness-driven vaccination strategies in multi-strain infectious disease models and provide practical implications for public health authorities in strengthening awareness campaigns through media and social gatherings.
Adaptive Time Stepping Numerical Schemes for Stochastic Differential Equations Rishav Jha; Kameshwar Sahani; Suresh Kumar Sahani; Ravi Kumar Raj; Dilip Kumar Sah
Asian Journal of Science, Technology, Engineering, and Art Vol 4 No 3 (2026): 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.v4i3.10239

Abstract

This study presents a comprehensive examination of adaptive time-stepping numerical schemes for solving stochastic differential equations (SDEs), with particular attention to methods that automatically adjust step sizes based on local error estimates. The study aims to investigate the theoretical foundations, implementation strategies, convergence properties, and practical applications of adaptive numerical methods for SDEs. The Euler–Maruyama and Milstein schemes were extended through adaptive step-size control mechanisms, and their convergence behavior was analyzed through extensive numerical experiments implemented in Python. The study also provides detailed code examples, accessible explanations, and visualizations, including convergence plots, error analysis, and performance comparisons, to support practical understanding and implementation. The findings indicate that adaptive schemes substantially improve computational efficiency while maintaining required levels of accuracy. Specifically, the results show that adaptive methods can reduce computational costs by up to 60% compared with fixed-step methods for problems involving varying stiffness. The study concludes that adaptive time-stepping offers a robust and efficient strategy for numerical SDE simulation, particularly in computational settings where accuracy and efficiency must be balanced. Its contribution lies in integrating theoretical analysis, implementation guidance, and empirical performance evaluation to support researchers and practitioners in applying adaptive numerical schemes to stochastic differential equations.

Page 26 of 26 | Total Record : 253

 22   23   24   25   26 

Filter by Year

2023 2026


Reset
Filter By Issues
All Issue Vol 4 No 3 (2026): Asian Journal of Science, Technology, Engineering, and Art Vol 4 No 2 (2026): Asian Journal of Science, Technology, Engineering, and Art Vol 4 No 1 (2026): Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 6 (2025): Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 5 (2025): Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 4 (2025): Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 3 (2025): Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 2 (2025): Asian Journal of Science, Technology, Engineering, and Art Vol 3 No 1 (2025): Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 6 (2024): Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 5 (2024): Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 4 (2024): Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 3 (2024): Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 2 (2024): Asian Journal of Science, Technology, Engineering, and Art Vol 2 No 1 (2024): Asian Journal of Science, Technology, Engineering, and Art Vol 1 No 2 (2023): Asian Journal of Science, Technology, Engineering, and Art Vol 1 No 1 (2023): Asian Journal of Science, Technology, Engineering, and Art More Issue