Princess Nourah bint Abdulrahman University

Leakage-Aware Multi-Representation EEG Fusion with Confidence-Gated Learnable MLP for Robust Epileptic Seizure Detection

Automated epileptic seizure detection from Electroencephalogram (EEG) signals remains challenging due to the non-stationary nature of EEG activity, strong inter-patient variability, and the tendency of window-based evaluation protocols to produce overly optimistic results when te...

Tomato leaf waste extract as corrosion inhibitor for copper–nickel alloy in H2SO4 medium

Abstract The tomato leaf waste extract (TLWE) was obtained through a decoction process and its effectiveness as a corrosion inhibitor on a copper–nickel alloy in sulfuric acid was assessed. Electrochemical measurements demonstrated that the extract functions as a mixed inhibition...

Earthquake magnitude estimation using an optimized CNN-DNN-GRU model with binary differential evolution and firefly algorithm

Accurate earthquake magnitude estimation is critical for mitigating seismic hazards; however, the inherently nonlinear and dynamic characteristics of geophysical data present persistent modeling challenges. To address this complexity, this study proposes a novel hybrid deep learn...

Digital tracking and developmental challenges: GPS technology in adolescent elite football

The increasing use of GPS-based performance-tracking technologies in elite adolescent sport raises important questions about their psychological and developmental effects. Yet limited research addresses how adolescent athletes interpret continuous digital feedback in relation to...

CBT-ICU transformer: a clinician-behaviour-aware multimodal deep learning framework for early detection of critical care adverse events in MIMIC-IV

Early identification of clinical deterioration in intensive care units (ICUs) remains a major challenge despite the availability of large-scale electronic health records. Most existing models focus primarily on physiological measurements such as vital signs and laboratory results...

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...

Dimensions of discomfort: Exploring smartphone dimensions and its impact on upper extremity musculoskeletal health

BackgroundSmartphones have become essential tools in modern daily life, with usage intensifying in the post-pandemic era. Prolonged and addictive smartphone use has been increasingly associated with Musculoskeletal disorders (MSD) in the upper extremity. Beyond usage duration, de...

Navigating turbulence: building resilient workforce with dynamic capabilities

Purpose Drawing on the dynamic capabilities perspective, the study aims to move beyond context-dominant explanations by focusing on microfoundational mechanisms through which employees interpret and respond to dynamic work environments. In doing so, it seeks to clarify whether or...

Nonlinear primary resonance and dynamic stability in parametrically excited self-sustaining curved SWCNTs subjected to a thermal and magnetic loads

Abstract This research conducts a systematic examination of the nonlinear dynamic behaviour exhibited by curved single-walled carbon nanotubes (CSWCNTs) under parametric excitation while embedded in a nonlinear viscoelastic medium. The investigation employs nonlocal Euler–Bernoul...

Theoretical Analysis of Androstenone Adsorption on Chimpanzee and Gorilla Olfactory Receptors (G‐Protein): Statistical Physics Modeling, Molecular Docking Simulation, and Thermodynamic Investigation

ABSTRACT An advanced theory based on statistical physics was applied to microscopically investigate androstenone adsorption and its relationship with olfactory perception in chimpanzees and gorillas. For this purpose, dose–response curves of androstenone on olfactory receptors of...

Nonlinear 2DOF van der Pol vibrations: El-Dib’s optimized frequency formula via the two-time-domains method

This paper presents a systematic decoupling framework for strongly coupled two-degree-of-freedom (2-DOF) nonlinear vibration systems. Here, the coupling is classified as strong rather than weak because the cross-mode interaction terms in the governing equations (e.g., the x 2 y-,...

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...

Physiological and transcriptional regulation of cadmium stress tolerance in ornamental pepper by silicon nanoparticles and melatonin

Nanotechnology has been established as a promising approach to improve heavy metal stress tolerance in horticultural crops. Melatonin (MT) is an emerging biostimulant for inducing stress resistance in plants. In this study, we evaluated the individual and combined effects of sili...

Nonlinear Mixed Bi-Skew Jordan and Bi-Skew Lie Triple Higher Derivations on *-Algebras

Let A be a complex unital *-algebra containing a nontrivial projection and satisfying a Peirce-faithfulness condition. Let D={Dn}n∈N be a family of mappings from A into itself, not assumed to be additive, with D0=idA. Suppose that Dn([A•B,C]*)=∑p+q+r=n[Dp(A)•Dq(B),Dr(C)]* for all...

A machine learning framework for classifying inter-turn short-circuit faults in induction motors

Inter-turn short-circuit (ITSC) faults are among the most frequent stator winding faults in induction motors, often leading to irreversible damage. In this context, this work proposes a Machine Learning (ML) based framework for classifying ITSC faults using experimental stator cu...

Effects of Proprioceptive Neuromuscular Facilitation-Based Reformer Pilates and Hatha Yoga on Functional Fitness, Balance, and Cognitive Performance in Older Women: A 16-Week Randomized Controlled Trial

Abstract Background Aging is associated with progressive declines in neuromuscular function, postural control, and cognitive performance, which may compromise functional independence. Mind–body exercise approaches such as Pilates and Yoga have been suggested as effective strategi...

Dietary parsley seed powder attenuates acrylamide‐waterborne toxicity hazards on growth, redox status, immunity and gene regulations in Oreochromis niloticus

Abstract This study evaluated the protective role of dietary parsley seed powder (PSP) against acrylamide (ACR) toxicity in Nile tilapia ( Oreochromis niloticus ). A total of 200 juvenile fish (15.98 ± 0.01 g) were randomly assigned to four dietary groups (0.0, 2.5, 5.0 and 10.0...

First‐Principles Study of Ag (111) and Modified Surfaces: Electronic, Optical, and Thermoelectric Properties

ABSTRACT This research adopts modern theoretical frameworks as well as simulation methods to complete an in‐depth analysis of Ag (111) and its modified surfaces Ag/Ag (111) and Cu/Ag (111). The research examines how silver surfaces absorb and catalyze various processes after silv...

A sensitive and green spectrofluorimetric method for determination of guanfacine hydrochloride based on NBD-Cl derivatization

A sensitive and environmentally friendly spectrofluorimetric method was developed for the determination of guanfacine in pharmaceutical formulations. The method is based on derivatization of guanfacine with 4-chloro-7-nitrobenzofurazan in alkaline medium to yield a highly fluores...

Semantic‐Aware UAV‐IRS Control for Cooperative V2X Perception Using Label‐Derived Context

ABSTRACT Cooperative V2X perception requires timely, reliable delivery of perception‐critical packets, especially when occlusion, dense traffic, and vulnerable road users increase scene risk. Existing UAV‐assisted intelligent reflecting surface (IRS) studies mainly optimize chann...