BJPS, Volume 2 , Issue 1 , June 2025

Modelling of the Durability of 𝑺𝒊𝑶₂ Anti-Reflection Coating on GaAs Solar Cell with Comsol 5.6

This study presents the effect of long-term outdoor exposure on silicon dioxide (𝑆𝑖𝑂₂) antireflection coating (ARC) surface of GaAs solar cell under simulated outdoor conditions. The work was carried out in COMSOL Multi-physics where the effects of principal and Von Mises stress as well as the strain deformation on reflectance, transmittance, and absorption followed by efficiency degradation were analysed.

Predicting Likelihood for Loan Default Among Loan App Borrowers: A logit Classification Approach

Predicting the likelihood of missed loan repayments is essential for banks and credit providers to effectively manage lending risks and promote responsible financial services. This research utilises a binary classification approach, specifically logistic regression, to

Characteristics of Dimensionless Pressures and Derivatives of a Horizontal Well Completed Within Oil Reservoir Sealing Boundaries Inclined at 45 Degrees

This paper investigates dimensionless pressure and derivative distributions of a horizontal well completed within an oil reservoir with sealing external boundaries inclined at 45°. The total dimensionless pressure of an object horizontal well, based on its distance from

Studies on the Mechanical Properties of Biodegradable Unripe Banana Starch Composites Reinforced with Natural Pineapple Leaf Fibres (Annas comosus L. Merr.)

The development of biodegradable composites has gained significant attention due to the environmental concerns associated with synthetic polymers. Unripe banana starch, characterized by its high amylose content, presents excellent film-forming properties and biodegradability, making it a promising matrix for composite fabrication. Despite these advantages, its poor mechanical properties restrict its standalone use in structural applications. To improve its performance, reinforcement with natural fibres such as pineapple leaf fibres has been explored.

Some Population Size Estimators Based on Zero-Truncated Discrete Lindley Distribution with Applications to Capture-Recapture Problems

Capture-recapture methods are essential for estimating hidden populations in fields such as public health and the social sciences. Traditional estimators based on the Poisson distribution often underestimate population sizes when the data exhibit overdispersion. To address this limitation, this study introduced the Zelterman-type and MantelHaenszel-type estimators within the zero-truncated discrete Lindley distribution. The conditional technique was utilized for variance estimation.

Generative Models for Simulating Non-Normal Multivariate Data for Robust MANOVA Testing

Multivariate Analysis of Variance (MANOVA) is a foundational statistical method used to detect group differences across multiple correlated outcome variables. Classical MANOVA test statistics, including Wilk’s Lambda, Pillai’s Trace, and Roy’s Root, are optimal under multivariate normality and homogeneity of covariance matrices. However, their performances can deteriorate under non-normality or small sample sizes. This study builds upon the truncated MANOVA statistics (W3, P3, R3) which demonstrated improved robustness under specific non-Gaussian conditions.

Comparative Forecasting of Rainfall in Nigeria Using ARIMA and Artificial Neural Networks

This study presents a comparative analysis of two prominent time series forecasting models, Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Networks (ANN), in predicting monthly rainfall in Nigeria. Utilizing a quantitative methodology, the research analyzes average monthly rainfall data from January 1980 to April 2025, obtained from the Humanitarian Data Exchange. The dataset, known for its linear and nonlinear patterns, was preprocessed through linear interpolation and normalization to ensure compatibility with each modeling technique.