Princess Nourah bint Abdulrahman University

Post quantum federated authentication framework for Industrial Internet of Things using FALCON threshold signatures and zero knowledge verification

Abstract Distributed authentication techniques enable edge device trust in smart manufacturing and energy infrastructure Industrial Internet of Things contexts. Existing blockchain-based authentication schemes mostly use the elliptic curve digital signature algorithm, which can b...

Exploring maternal sociocultural beliefs and practices in postpartum and infant care: perspectives of mothers and healthcare providers

Culture shapes beliefs and practices around infant care, affecting maternal and infant wellbeing during the postpartum period. This study explored mothers’ perceptions and beliefs about postpartum and newborn care in Saudi Arabia to identify misconceptions and inform strategies t...

Medical radiation at the crossroads of complexity and opportunity: New staff perceptions

Background New hospital staff represent a critical yet underexplored group in radiation safety research. Their initial perceptions and early experiences with safety systems are formative, shaping long-term professional behaviours and highlighting systemic gaps in onboarding and s...

Nonlinear mapping of random graph properties for cryptographic S-boxes

Secure communication in the digital era depends on cryptographic primitives whose nonlinearity withstands side-channel, algebraic, and emerging quantum cryptanalytic threats. Among these primitives, the substitution box (S-box) is the principal source of confusion in modern block...

A Unified Hybrid Framework for Full-Reference and No-Reference Quality Assessment

Practical deployment of Image Quality Assessment (IQA) systems increasingly demands models that handle both full-reference (FR) and no-reference (NR) scenarios within a single deployable architecture, without compromising accuracy in either mode. Existing frameworks such as DisQU...

Sulfur and polymer coating on urea enhances antioxidant defense, nutrient balance, secondary metabolites, and nitrogen use efficiency in salt‑stressed wheat

Soil salinity is a growing threat to wheat productivity. This study evaluated whether different coated urea formulations– especially polymer-sulfur-coated urea (PSCU) – could help wheat cope with different salt stress levels: non-saline control (1.3 dS m − 1 , showing the natural...

Computational systems immunology and multi-scale modeling for the design of a Multi-Epitope Vaccine (MEV) against emerging multidrug-resistant Klebsiella michiganensis

Klebsiella michiganensis, an emerging multidrug-resistant member of the Klebsiella oxytoca complex, has become an important opportunistic pathogen responsible for nosocomial infections, including bacteremia and ventilator-associated pneumonia. Owing to its rapidly evolving resist...

Burnout and resilience among healthcare nurses in Saudi Arabia: a cross-sectional study with exploratory multiclass classification approach

Burnout is a significant occupational and psychological concern among nurses. However, there is an evidence gap in research considering the dimensions of burnout and resilience in healthcare settings where the nursing workforce is predominantly expatriate. Therefore, this study a...

Effect of gas temperature on neutral and ionic carbon containing species in CH4/O2/Ar capacitive coupled plasma: A two dimensional fluid simulation study

Methane ( C H 4 ) conversion using plasma technology is of significant interest for understanding C H 4 activation pathways, reaction mechanisms and carbon chemistry, while enabling the production of value-added carbon containing compounds and mitigating greenhouse gas emissions....

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...

Collaborative agency in rating scale development for L2 academic writing assessment

Calls for greater learner involvement in assessment have highlighted a need for rating scales that are not only technically sound but also pedagogically meaningful. However, in second language (L2) writing, students are largely absent from scale design, with most instruments bein...

Multimodal Trilemma GNN‐LLM‐XAI Framework Resolving Accuracy Transparency Comprehensibility in E‐Commerce Fraud Detection

ABSTRACT E‐commerce platforms face an escalating challenge from sophisticated financial fraud and cyberattacks, yet current detection systems suffer from a fundamental trilemma: achieving high detection accuracy, providing expert‐level transparency, and ensuring user comprehensib...

Digital literacy shapes AI chatbot adoption, barriers, and performance outcomes in football coaches: a multi-method analytical study

Abstract The adoption of AI chatbots among football coaches is primarily determined by their digital literacy. An international cross-sectional online survey of 213 professional coaches measured adoption and digital literacy using a psychometrically evaluated 31-item index. Data...

AI knowledge capability and innovation: the power of cognitive processing and empowerment

Purpose This study aims to integrate ideas from organizational learning theory with new AI capabilities to investigate how AI-driven knowledge processes may improve innovation performance. Specifically, this study explores the process in which AI-based (AI Ba) knowledge productio...

Perceptions of micro-learning modules on knowledge retention and clinical decision-making among physiotherapists: a cross-sectional study

Micro-learning has emerged as an innovative strategy for professional development in healthcare. Although its effectiveness has been demonstrated in various health professions, physiotherapists’ perceptions of its impact on knowledge retention and clinical decision-making remain...

Holistically benchmarked optimization-assisted green spectrophotometric–chemometric approach for simultaneous determination of piroxicam and venlafaxine in pharmaceutical formulations and spiked human plasma

The recent clinical introduction of the piroxicam (PIR) and venlafaxine hydrochloride (VEN) combination has highlighted the need for analytical methodologies capable of simultaneously quantifying both drugs while minimizing the environmental burden of routine pharmaceutical analy...

Oncology nurse navigator core competencies and patient satisfaction

Oncology nurse navigators (ONNs) are increasingly recognized for their vital role in improving the quality of cancer care by supporting patients throughout their treatment journey. In Egypt, nurse navigation implementation remains limited, and empirical evidence examining the rel...

Self-Reported Diastasis Recti Abdominis and Associated Factors Among Jordanian Women: A Cross-Sectional Study

Diastasis recti abdominis (DRA) is a common postpartum condition that may coexist with pelvic floor dysfunction and impact quality of life; however, data from Middle Eastern populations are scarce, and awareness among affected women remains poorly understood. This cross-sectional...

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...

Non-Invasive Prediction of Metabolic Syndrome Using Explainable Machine Learning

Background: Metabolic syndrome (MetS) is a complex health problem significantly associated with cardiovascular diseases and type 2 diabetes mellitus. Traditional diagnostic approaches rely on invasive biochemical markers, which limit their accessibility. Here, we developed an exp...