Northern Border University

Intelligent adaptive energy management framework for hybrid solar-grid EV fast-charging stations with energy storage and time-based demand response optimization

The rapid expansion of electric vehicle (EVs) is significantly increasing pressure on the conventional electrical grid and introducing new challenges in load management, peak demand, and grid stability. Conventional grid systems, dependent on fossil fuel-based generation, contrib...

Fractional two-temperature dual-phase-lag bioheat transfer under electromagnetic heating: An analytical-physics-informed neural network framework

This study develops a hybrid semi-analytical and physics-informed neural-network framework for transient thermoelastic heat transfer in biological tissue subjected to electromagnetic heating. The formulation combines a fractional two-temperature dual-phase-lag bioheat model with...

Machine learning analysis for the thermophoretic particle deposition in casson nanofluid with porous medium and heat generation

The aim of this work is to evaluate the impacts of heat generation on the radiative flow of Casson nanofluid over a sheet under LTNE circumstances while microbes are present, utilizing machine learning techniques based on the Levenberg-Marquardt algorithm. A simple method for mov...

A compact and component-optimized 13-level switched-capacitor multilevel inverter with high efficiency

Switched-Capacitor Multilevel Inverters (SCMLIs) provide a viable pathway to achieving high-quality voltage synthesis with reduced reliance on magnetic components; however, existing 13-level implementations typically require a high number of switching devices and exhibit elevated...

Machine learning-assisted engineering of dual-metal chalcogenide-MXene based composite for enhanced supercapacitor application

Transition-metal chalcogenides (sulfides and phosphides) have been extensively explored with MXene as supercapacitor electrode materials. However, these studies have largely been limited to binary systems (sulfide/MXene or phosphide/MXene), most of which suffer from low conductiv...

Artificial intelligence use, creative thinking disposition, and metacognitive awareness among EFL learners: a structural equation modelling approach

Artificial intelligence is increasingly embedded in English as a foreign language (EFL) learning, yet its cognitive implications depend on how learners engage with it rather than on its use alone. This study examined the structural relationships among differentiated patterns of A...

Neural network analysis of electro-osmotic Sutterby nanofluidics in complex porous microsystem

Purpose The purpose of this study is to investigate nonlinear electro-osmotic transport of Sutterby nanofluid in a tapered porous microchannel saturated with a non-Darcy medium. This work analyzes the combined effects of electro-hydrodynamic forces, heat transfer, viscous dissipa...

A unified fixed point approach for enriched bivariate mappings with applications to volterra systems and fractional-order chaos

We develop a unified fixed point theory for enriched bivariate contractions in ordered Banach spaces and in ordered convex metric spaces. Two classes of mappings are introduced and analysed: enriched bivariate Ciric-Reich-Rus contractions ( 𝒞 B C R R C e ) and enriched bivariate...

RCMS: a robust cybersecurity metamodel for cloud computing in Saudi Arabia

Abstract Cloud computing underpins Saudi Arabia’s Vision 2030, making cybersecurity an escalating national concern. Existing security frameworks incorporate relevant measures but lack cloud-specific constructs in identified areas and are not localized to Saudi regulatory requirem...

Cluster headache care gaps among primary healthcare physicians in the Middle East, North Africa, and Türkiye: a multinational study

Cluster headache is one of the most severely disabling primary headache disorders and is frequently associated with diagnostic delay, inappropriate treatment, disability, and substantial psychosocial burden. Because primary healthcare (PHC) physicians are commonly the first point...

Automated and Explainable Machine Learning Framework for Predicting the Fracture Toughness of Fiber-Reinforced Ultra-High-Performance Concrete Subjected to Freeze–Thaw Damage

The extended longevity of fiber-reinforced ultra-high-performance concrete (FR-UHPC) in frigid regions remains incompletely comprehended, especially concerning the deterioration of mode-I fracture toughness (KIC) due to repeated freeze–thaw cycles (FTCs). While prior investigatio...

Advanced design of highly efficient graphene-based Ti-GaSb-Si based solar absorber for mining related applications optimized using machine learning

The solar absorber is a necessity in renewable energy applications; it has been widely used and investigated in various materials and layer configurations. Analysis of the design and materials, with height as a parameter, can be developed for effective solar absorber design as a...

Biological Evaluation, Molecular Docking, MD Simulation Study and Synthesis of (Z)‐N’‐(3‐phenoxybenzylidene)‐2‐(substituted‐amino aryl) Acetohydrazid

ABSTRACT In order to investigate their possible biological activity, a number of new Schiff base compounds based on diaryl ether, specifically 2‐(substituted‐arylamino)‐N′‐(3‐phenoxybenzylidene) acetohydrazides, were created. IR, 1 H NMR, and 13 C NMR spectrum studies were used t...

Intelligent neural network–based framework for Maxwell nanofluid flow with Soret–Dufour coupling and nonlinear thermal radiation

This study examined the optimization of the Levenberg–Marquardt backpropagation approach, which uses artificial neural networks, to calculate the interacting features of Soret and Dufour effects on convective Maxwell nanofluid flow through a porous surface with nonlinear thermal...

A study on the synthesis and characterization of maleate-functionalized Artemisia vulgaris hydrogel for Ni(II) adsorption from groundwater: mechanism, kinetics, and reusability

Life on Earth is at risk due to widespread pollution from industrialization and human activities. The presence of harmful heavy metal ions in drinking water sources is amongst the key pollutants that require immediate remediation. The seeds of the Artemisia vulgaris plant were us...

Characterization of PMMA/PEO thermoplastic modified with nanosized Cr 2 O 3 /Fe 2 O 3 : Nanocomposites for optoelectronics and dielectric devices

This study is dedicated to the synthesis of nanocomposites based on Cr 2 O 3 - and Fe 2 O 3 -reinforced PMMA/PEO with optimized performance for optoelectronics and energy storage applications. The fillers and films were prepared by inexpensive chemical methods. The effects of add...

A compact 2D photonic crystal biosensor for optical detection of glioblastoma brain tissues enhanced by neural networks

Abstract In this work, a compact optical sensor based on a two-dimensional photonic crystal is proposed for detecting glioblastoma and pre-tumor brain tissues. The sensor uses a hexagonal lattice of silicon rods in air with a ring resonator structure at its center. The designed d...

Machine Learning Modelling of Mental Disorders in the People of South Sudan

The increase in mental health challenges among the population has raised serious concerns among educators, healthcare professionals, and lawmakers. Because of the substantial impact of mental diseases on emotions, cognition, and social relationships, creative preventative and int...

Recent Horizons in Pyridine-Based Agrochemicals (2020-2026): From Molecular Design to Ecological Safety

Abstract Pyridine derivatives have emerged as indispensable pharmacophoric scaffolds in contemporary agrochemistry, driving breakthroughs across next-generation insecticides, plant growth regulators (PGRs), micronutrient chelators, and biostimulants. This review provides a compre...

Who Gets Believed When Machines Read Pain? AI, Testimony and Nursing Judgement

ABSTRACT Pain remains a persistent and ethically consequential problem in healthcare because recognizing another person's suffering requires judgements about testimony, credibility, and appropriate response. Yet, nursing responses to pain continue to be shaped by uncertainty abou...