University of Ha'il

Depression and Anxiety Among Adolescents with Cancer: A Saudi Cross-Sectional Study

Background/Objectives: Adolescents undergoing treatment for cancer face both physical and psychological challenges, including depression and anxiety, yet local prevalence data remain limited in Saudi Arabia. The primary objective was to determine the prevalence of depressive and...

A Simulation Framework for Pre-Flight Coverage and Quality Assessment of UAV Bridge Inspection Routes Under Wind Disturbance

A numerical method is proposed to assess the visual coverage and imaging quality of a pre-designed unmanned aerial vehicle (UAV) inspection route prior to field deployment. The modeled inspection domain includes 336 m2 of deck-underside, exterior-girder, and pier surfaces, 5424 a...

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...

Developing innovative models to improve ease of access and outcomes of rehabilitation services in rural communities: An integrative narrative review

Background Rehabilitation services in rural areas face persistent barriers such as geographic isolation, limited infrastructure, and resource constraints, which significantly impact patient access and outcomes. Objective This study investigates innovative models designed to impro...

Myricetin Modulates Quorum Sensing-Associated Phenotypes, Virulence, and Biofilm Formation in Pathogenic Bacteria: In Vitro and In Silico Studies

Background/Objectives: The rapid emergence of antimicrobial resistance (AMR) among pathogenic bacteria has necessitated the development of alternative therapeutic strategies that target bacterial virulence rather than cell viability. Methods: In this study, the flavonoid myriceti...

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...

Observer‐Based Adaptive Sliding Mode Control for Fuzzy Markov Jump Systems Subject to Deception Attacks: A Q‐Learning Event‐Triggered Communication Protocol

ABSTRACT This article addresses the secure control problem for nonlinear Markov jump systems subject to communication constraints and false data injection attacks. The Takagi–Sugeno (TS) fuzzy model is employed to describe the systems under consideration, and the Q‐learning conce...

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...

AMF-U-Net: an adaptive multimodal fusion residual attention 3D U-Net for boundary-aware brain tumour segmentation

Precise 3D segmentation of brain tumors based on multi-modal magnetic resonance images(MRI) is challenging due to intensity heterogeneity within tumor sub-regions, irregular tumor boundaries, extreme unbalanced class distribution at the voxel level and acquisition variability. Th...

Data-driven optimization of a biomass–geothermal system for power and green ammonia production

This study presents a hybrid biomass–geothermal energy system for simultaneous power generation and ammonia production. The system integrates biomass conversion via gasification or anaerobic digestion, a gas turbine cycle, a geothermal-assisted organic Rankine cycle (ORC), thermo...

Short-term climate scenario sensitivity of a Riyadh office building: energy consumption, operational life cycle cost, and simulation-derived thermal comfort indicators

As climate change (CC) continues to reshape environmental conditions, combining projected climate data into building performance analysis is crucial for resilient design. This study investigates the influence of CC on energy consumption, economic outcomes, and simulation-derived...

Field-validated climate-resilient HVAC control for mixed-use buildings in a hot-arid region

Buildings in desert cities are difficult to operate efficiently because heat waves and airborne dust increase cooling demand, alter short-term thermal behavior, and reduce HVAC efficiency. This study develops and field-validates an adaptive control framework for mixed residential...

Comparative Evaluation of EfficientNet-B3, Vision Transformers, and RETFound for Seven-Category Retinopathy Fundus Image Classification

Background/Objectives: Retinal fundus photography is the most widely available means of screening for sight-threatening disease, but it is difficult to read: several conditions leave overlapping signs on the same photograph, the features that separate them are often subtle and co...

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...

Magnetically recoverable carboxymethyl chitosan/cerium dioxide/iron oxide tricomponent nanocomposite: A biobased photocatalyst for environmental remediation and antimicrobial applications

Carboxymethyl chitosan (CMCs) is extensively used for wastewater treatment owing to its active functional groups. For improved efficiency, a nanocomposite of two metal oxides, cerium dioxide (CeO 2 ) and iron oxide (Fe 2 O 3 ), was prepared by ball milling. Two loadings (0.15 and...

Current-vector trajectory–based diagnosis of open-circuit faults in NPC inverters for SSSC applications

Abstract This paper presents an enhanced fault diagnosis method for identifying open-circuit faults in the switches of Three-Level Neutral Point Clamped (NPC) inverters integrated into Static Synchronous Series Compensator (SSSC) systems. Although previous studies have mainly foc...

Modulating Function‐Based Algebraic Observer for Conformable Fractional‐Order Systems

ABSTRACT We propose a finite‐horizon algebraic observer for conformable fractional‐order linear systems. The construction combines a conformable integration‐by‐parts identity with unitary modulating functions so that derivatives are transferred from noisy measurements to predesig...

Knowledge of Delirium among ICU Nurses in Saudi Arabia: A Cross-Sectional Assessment

Introduction Delirium is a common yet frequently underrecognized complication in Intensive Care Units (ICUs), where nurses play a key role in early detection and intervention. This study assessed ICU nurses’ knowledge of delirium across five domains and examined associated demogr...

Extracellular Vesicles as Molecular Regulators of Viral Infection: Implications for COVID-19 and Future Viral Pandemics

Coronavirus disease 2019 (COVID-19), caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), exposed critical gaps in global preparedness for rapidly evolving viral pandemics. Though current antiviral treatments have shown some efficacy in managing COVID-19, subst...

Trust, Information Appraisal, and Health Communication Behaviours Among People Living with Multiple Sclerosis

Background: People living with multiple sclerosis (MS) are increasingly turning to the Internet for information about their condition and its treatment. However, online health information varies widely in quality, and patients often lack the eHealth literacy needed to distinguish...