International University of Business Agriculture and Technology

Investigating the anticancer potential of phytochemicals from the mangrove Rhizophora mucronata as inhibitors of lung cancer-associated proteins: Insights from multiscale computational and in silico analyses

Lung cancer remains the leading cause of cancer-related mortality worldwide, with a five-year survival rate of approximately 20–25% despite advances in targeted therapy and immunotherapy. There is a continuous need for novel, low-toxicity compounds capable of modulating key oncog...

Numerical evaluation of post fire capacity of reinforced concrete columns

This study employs finite element modelling to investigate the behaviour of reinforced concrete (RC) columns subjected to fire including cooling phase. Although previous experimental studies have observed the response of RC columns subjected to fire, still there remains a need of...

Twin perturbation parameter based flexible power point tracking technique for grid-connected PV systems

Abstract Photovoltaic (PV) systems are fundamentally designed in two main configurations: standalone and grid-tied architectures. Although Maximum Power Point Tracking (MPPT) is commonly implemented to optimize energy extraction from photovoltaic systems, it may jeopardize grid s...

Thermally Switchable Broadband Terahertz Metamaterial Absorber Based on VO 2 for Low‐Reflection Absorptive Shielding

Thermally reconfigurable terahertz absorbers are of interest for active electromagnetic control, particularly where broadband absorption and low‐reflection shielding are required. In this work, a VO 2 ‐based thermally switchable metamaterial absorber is numerically investigated i...

DFT-based screening of Cu2ZnSn(Se1-xSx)4 semiconductors for gas adsorption and photocatalytic applications in cement-industry pollutants

In this study, Cu 2 ZnSn(Se 1-x S x ) 4 (CZTSSe) semiconductors are investigated as a composition-dependent first-principles screening platform for pollutant adsorption and photocatalytic-related electronic properties relevant to cement-industry emissions. Density functional theo...

Machine learning for predictive maintenance in energy storage systems: A systematic review of health prediction, fault diagnosis, and deployment challenges

This research examines the function of machine learning in the predictive maintenance of energy storage systems (ESS), highlighting its capacity to improve system reliability, efficiency, and longevity. The text commences with a summary of the foundational principles of predictiv...

From technology anxiety to trust: factors shaping adoption of AR-based housing rental platforms in Malaysia

Purpose This study investigates factors influencing young tenants' attitudes and behavioural intentions toward augmented reality (AR)-based housing rental platforms in Malaysia. Design/methodology/approach Drawing on technology adoption, PropTech, housing search behaviour and dig...

Entrepreneurship in marine protected areas: A pathway to livelihood diversification and conservation in island communities

Fostering alternative livelihoods and building capacity within protected areas require the development of a sustainable business culture that ensures long-term economic benefits in these zones. This study examines the existing entrepreneurial landscape within Marine Protected Are...

A systematic review on sustainable soil stabilization using machine learning and deep learning

This study investigates how soil stabilizing techniques are becoming more ecologically sustainable. Due in large part to their detrimental impact on environmental pollution, the construction industry is currently under intense pressure to lessen its reliance on conventional binde...

Cryptographically Secured Machine Learning for Resilient Multi-Tier Supply Chains

As we move further into a more digital supply chain, we have seen tremendous improvements in terms of efficiency, but we have also seen a rise in the risks that data vulnerabilities pose, particularly for intermediary supply chain nodes. As a result, traditional security measures...

Evaluation of Morphological Traits, Yield Performance and Genetic Variability of Soybean (Glycine max L.) Genotypes in the Madhupur Tract of Bangladesh

Soybean improvement depends on the identification of genetically diverse germplasm with superior agronomic performance. This study evaluated the phenotypic diversity, yield potential, and genetic variability of a large and diverse panel of 278 soybean genotypes under the agro-eco...

Soliton solutions and dynamical bifurcation analysis of the Yajima-Oikawa equations

Abstract The Yajima–Oikawa equations describes the resonant interaction between ion sound waves and Langmuir waves in plasma. Despite its importance, the detailed dynamical behavior of this model has not been comprehensively explored. In this work, we present a unified analytical...

Detection of False Stealthy Data Injection Attacks in Smart Meters Using Machine Learning and Blockchain Technology

Despite the benefits associated with the use of smart meters in advanced metering infrastructure, the widespread deployment of such meters has introduced vulnerabilities that leave power systems susceptible to stealthy false data injection attacks which cannot be detected by conv...

Integrated assessment of microplastic contamination in bank sediments of urban Rivers in Khulna, Bangladesh

Microplastic pollution has emerged as a growing environmental concern in freshwater ecosystems, particularly in rapidly urbanizing regions of developing countries. This study provides the first integrated assessment of microplastic contamination in the bank sediments of the Bhair...