Institution
King Faisal University
Recent research
- BiologyOpen access
Chlamydia psittaci is an obligate intracellular zoonotic pathogen that causes psittacosis and severe respiratory illness in humans. Despite its clinical importance, no licensed vaccine is currently available, and antibiotic treatment may not provide long-term protection or preven...
- Society & EconomicsOpen access
Rising rates of physical inactivity (PI) among adolescents represent urgent public health concern. Encouraging students to actively commute to school (walking or cycling rather than relying on motorized transport) is a scalable strategy to increase habitual physical activity (PA)...
- Health & MedicineOpen access
Central nervous system (CNS) neoplasms are uncommon but highly consequential malignancies that account for substantial neurological disability and premature mortality. The Middle East and North Africa (MENA) region is marked by rapid population growth, aging, and uneven health sy...
- Health & MedicineOpen access
Bone marrow-derived mesenchymal stem cells (MSC) can attenuate diabetic organ damage through immunomodulatory and paracrine mechanisms, yet the specific signalling pathways engaged in the pancreas and spleen remain poorly characterized. This study investigated the effects of a si...
- Climate & EnvironmentOpen access
Accurate forecasting of significant wave height (Hs) is vital for marine safety, coastal engineering, and renewable energy production. This study presents an effective integrated model system to forecast Hs for two distinct sites in Australia, Gladstone and Palm Beach, over vario...
- BiologyOpen access
Background Asian Indians face an increased burden of cardiometabolic diseases, yet the interplay between genetic predisposition and diet quality in this population remains underexplored. This study aimed to examine their interaction on cardiometabolic traits in this population. M...
- Engineering & Technology
Reliable condition monitoring of aviation piston pumps is essential for operational safety and predictive maintenance. This study proposes an Explainable Multi-Scale Health Index Learning (EMHI-L) framework integrating multimodal sensor fusion, multi-scale representation learning...
- AI & ComputingOpen access
ECO-EDGE: joint DAG offloading and fabric routing in Multi-AP MEC via conic optimization
Mobile Edge Computing (MEC) enables low-latency services by migrating computational resources closer to end-users. However, as mobile workloads increasingly adopt complex Directed Acyclic Graph (DAG) topologies, system performance is strongly affected by interdependent data shuff...
- Biology
Nucleic‐acid biomarkers play pivotal roles in disease diagnosis, therapeutic monitoring, and precision medicine, creating an urgent demand for analytical platforms combining high sensitivity, molecular specificity, and rapid detection. Surface‐enhanced Raman spectroscopy (SERS) i...
- Society & EconomicsOpen access
Using comparative data for Saudi Arabia, Singapore, Australia, the United Kingdom, and the United States over 2019–2023, this study examines conditional associations between Financial Technology (FinTech), digital infrastructure, and higher-education outcomes. The empirical unit...
- Health & MedicineOpen access
Background/Objectives: Chronic pain is common in Saudi Arabia, where opioid analgesics are prescribed and dispensed within a tightly regulated, electronically monitored controlled-substance framework. Qualitative evidence on how patients experience restrictive access comes almost...
- AI & ComputingOpen access
Quasi-Monomiality and Heat-Semigroup Extensions of Mittag–Leffler–Sheffer Polynomials
This draft presents the construction of a two-variable extension 2Esn(Θ,Ω)(ρ,y) of the Mittag–Leffler–Sheffer polynomials Esn(Θ,Ω)(ρ) by applying the heat (Gauss–Weierstrass) semigroup generated by the family’s own quasi-monomial lowering operator P^Es, rather than the ordinary d...
- Health & MedicineOpen access
Introduction and aims Accurate radiographic assessment of retained roots (RR) and periodontally compromised teeth (PCT) are critical for dental diagnosis. This study aimed to develop and evaluate deep learning models for the automated detection and classification of these patholo...
- Society & EconomicsOpen access
Smart tourism technologies are increasingly transforming how tourists interact with destinations, yet the mechanisms through which technology quality contributes to memorable tourism experiences remain insufficiently understood. Drawing on Stimulus–Organism–Response (S-O-R) theor...
- Health & Medicine
Eugenol, a phenylpropene found predominantly in clove, is known for its neuroprotective effects, including the inhibition of human acetylcholinesterase (AChE). While early studies identified eugenols as an effective AChE inhibitor, the relative chemical space of its analogues rem...
- Society & EconomicsOpen access
This study examined the associations between quality of work life (QWL) needs and employee engagement (WE), while investigating the moderating role of digital transformation (DT) among university employees. Guided by the theoretical framework of Social Exchange Theory (SET) and t...
- Climate & Environment
ABSTRACT Chemical pollution from rare earth elements (REEs) has emerged as a significant threat to the stability of freshwater ecosystems. Among these elements, europium oxide (Eu 2 O 3 ) is widely used across various industrial sectors; however, its specific impacts on fish phys...
- Engineering & Technology
Polyamide 11 (PA1101) tetrakaidecahedron (TKD) lattice structures fabricated using selective laser sintering (SLS) were examined to understand the combined influence of structural density and chemical vapor smoothing (CVS) on compressive mechanical performance. Lattices with rela...
- Health & MedicineOpen access
Introduction: Sepsis remains an important cause of preventable morbidity and mortality, but long-term trends in neonatal and maternal sepsis across the Gulf Cooperation Council (GCC) have not been well characterized. Methods: We analysed Global Burden of Disease (GBD) 2023 estima...
- AI & ComputingOpen access
High-Rank Grouped Delta Operators Enable Dynamic Geometric Transformations in Residual Networks
HRG-Delta replaces standard residual rank-1 reflections with rank-$r$ grouped subspace transformations, using dynamically generated orthonormal bases and bounded gating coefficients.