University of Jeddah

A Spectral Tau Algorithm Using Shifted Convolved Fibonacci Polynomials for Singular Functional Models

In this paper, for some second-order singular functional differential equations (SOSFDEs), a tau-type spectral technique is built using non-origin-symmetric polynomials called shifted convolved Fibonacci polynomials as the approximation basis. Derivative formulae, integral identi...

Enhancing Time Series Forecasting: Applying Cross-Validation Methods to Hybrid Models for Predicting GCC Stock Market Indices

Forecasting Gulf Cooperation Council (GCC) country stock market returns is challenging because these markets exhibit volatility clustering, heavy tails, oil-price sensitivity, and asymmetric responses to shocks. This study evaluates whether ARIMA–GARCH-family hybrid models improv...

Dietary Fiber-Associated Differences in Gut Microbial Community Composition and Predicted Short-Chain Fatty Acid-Related Functional Potential: An In Silico Re-Analysis of 16S rRNA Data

Dietary fiber shapes both gut microbial community structure and the fermentable substrates available to resident taxa, yet how fiber deprivation reshapes taxonomic representation and predicted functional potential remains incompletely resolved. We performed an in silico re-analys...

Explainable multi-backbone deep feature fusion based wheelchair detection with disability-aware accessibility monitoring in smart urban environments

BACKGROUND: Reliable identification of wheelchair users in public environments is an important enabling technology for assistive systems that aids independent mobility, accessibility monitoring, and inclusive public infrastructure. Accurate automated recognition could assist reha...

Adaptive federated edge intelligence with semantic communication and trust-aware optimization for heterogeneous IoT networks

The rapid growth of heterogeneous Internet of Things (IoT) networks introduces significant challenges in communication efficiency, energy consumption, and reliable distributed intelligence due to diverse device capabilities, dynamic channel conditions, and limited computational r...

Pregabalin-associated adverse drug reactions

Pregabalin is widely used for neuropathic pain, epilepsy, and anxiety disorders but has become increasingly associated with misuse and dependence. Understanding its global safety profile is essential to support pharmacovigilance and toxicovigilance efforts. This study aimed to ch...

Laparoscopic versus open appendectomy for appendicitis in children: a systematic review and meta-analysis

Acute appendicitis is among the most common pediatric surgical emergencies worldwide. Laparoscopic appendectomy (LA) has gained wide acceptance in recent years ; however, its superiority over the traditional open appendectomy (OA) is still a topic of debate, particularly regardin...

Deep learning models for reliable weather forecasting in crowded regions performing traditional or religious activities

Forecasting weather during large-scale traditional or religious events in densely populated regions is particularly challenging because of the ever-evolving microclimatic changes caused by human activities. This study designed and tested two new deep learning-based approaches for...

Work Perception and Perceived Stress Among Nurses and Interns Working in the Critical Care Units in Jeddah, Kingdom of Saudi Arabia

Objectives Work perception is a very important component that has both positive and negative influences on the stress perceived by the employees of any organisation. This study was carried out to examine the correlation and association between work perception and stress levels am...

Application of in vitro digestion and dialysability procedure for bioavailability evaluation of toxic elements in green leafy vegetables: a realistic health risk assessment by Monte Carlo simulation

Green leafy vegetables (GLVs), which are vital and widely consumed worldwide, require monitoring for contaminants, including toxic elements (TEs). This study measured total concentrations (TC) and bioavailable concentrations (BC) of arsenic (As), cadmium (Cd), lead (Pb), chromium...

Theoretical Investigation of Linear Polarization Effects on Electron—Positron Pair Production in the Electromagnetic Field of Be49 Nucleus

Electron–positron pair production is one of the fundamental quantum electrodynamical (QED) processes and provides an important framework for investigating photon–matter interactions. In this work, the influence of linear photon polarization on electron–positron pair production in...

Sustainable Leadership, Workplace Integration, and Resilience Among Staff Nurses: A Cross-Sectional Correlational Study

Background: Sustainable leadership has emerged as a critical approach for promoting long-term organizational effectiveness and workforce well-being in healthcare settings. However, empirical evidence linking sustainable leadership to workplace integration and resilience among nur...

Tailored novel nanocomposites for advanced elimination of methylene blue dye from water

Novel SrCO 3 /CuO/MgO/C (Abbreviated as CSM600) and SrCO 3 /CuO/MgO/Sr 2 CuO 2 CO 3 /Cu 2 SrO 3 /SrCuO 2 /C (Abbreviated as CSM800) multiphase nanocomposites were successfully synthesized through a Pechini sol–gel route followed by calcination at 600 and 800 °C. Structural analys...

Predicting the Unwelcome Return: Insights From a Cohort of Postoperative Haemorrhoid Patients

AIM: Recurrence after haemorrhoid surgery is a clinical concern, but the factors associated with recurrence have not yet been fully elucidated. In particular, the effects of external haemorrhoids and postoperative complications on long-term outcomes have not been clearly defined....

Phytochemical profile and in vitro antimicrobial, antiviral, and anticancer activities of Echium angustifolium ethanolic extract

Echium angustifolium is traditionally valued for its therapeutic properties; yet comprehensive studies on its biological activities are limited. Aerial flowering parts were sequentially extracted with solvents of varying polarity. Extracts were analyzed for yield, phytochemical c...

Effect of Different Metal Doping of ZnO Nanoparticles on Photocatalytic Degradation of Dye Wastewater

Undoped ZnO and metal-doped ZnO (ZnO:M) nanoparticles (NPs), with M [Formula: see text] Ca, V and Al, have been synthesized, with the same metal content ([Formula: see text]%), by the sol–gel method. The M-doping effects on the ZnO NPs properties are studied by a variety of techn...

A numerical study of non-Newtonian blood-based hybrid nanofluid flow over a stretching cylinder with Cattaneo–Christov heat flux and homogeneous heterogeneous reactions

Non-Newtonian hybrid nanofluids have attracted considerable attention in biomedical and industrial thermal systems because of their superior heat transfer performance and complex transport characteristics. In particular, blood-based hybrid nanofluids containing copper (Cu) and al...

Machine learning and deep learning techniques for effective supply chain management

The growth in data volume and complexity of decision-making create the need for new data analytics methods, such as machine learning (ML) and deep learning (DL), which are critical for improving various tasks in supply chain management (SCM). Recent studies have highlighted the b...

Combined Omeprazole and Glycyrrhiza glabra L. Extract Attenuate Ethanol-Induced Gastric Ulceration Through Modulation of TLR4/NF-κB/NLRP3 Signaling and Upregulation of PI3K/AKT/mTOR Gene Expression

Ethanol (EtOH)-induced gastric ulcer (GU) is a common model used to investigate mechanisms of mucosal injury and repair. Omeprazole (OMP) is a conventional anti-ulcer drug that effectively suppresses gastric acid secretion, but its efficacy may be enhanced by combining it with bi...

A multiplicative additive bias variational framework for accurate and interpretable brain MRI segmentation in cloud-based medical imaging systems

Abstract Accurate brain magnetic resonance imaging (MRI) segmentation remains challenging due to intensity inhomogeneity, acquisition-related bias fields, and ambiguous tissue boundaries. To address these challenges, a Multiplicative–Additive Bias Single-Function Dual-Level-Set (...