Princess Nourah bint Abdulrahman University

Tailored novel nanocomposites for advanced disposal of crystal violet dye from water

Crystal violet is a toxic cationic dye that poses substantial threats to aquatic biota and public health because of its persistence, bioaccumulation potential, and documented cytotoxic and carcinogenic effects. Efficient removal of this pollutant from contaminated water therefore...

Optimal integration of electric vehicle charging stations and distributed generator in microgrids using bio-inspired optimization techniques

The prompt adoption of Electric Vehicles (EVs) offers substantial challenges to modern power distribution systems, incorporating enlarged power demand, voltage variability, and elevated energy losses. To solve such problems, this paper proposes an integrated optimization scheme f...

AI ‐Enabled 6G Space‐Air‐Ground–Integrated Networks for Ultra‐Reliable Low Latency Internet of Medical Things Healthcare

ABSTRACT This paper explores an AI‐assisted resource scheduling and cooperative learning model in a space–air–ground combined network (SAGIN) to possess ultra‐reliable low‐latency Internet of Medical Things (IoMT) applications. The generated healthcare data by the IoMT devices ar...

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...

Long-memory functional time series modeling for electricity spot price forecasting using fractionally integrated functional autoregression

Electricity spot prices are found to be highly long-range dependent, with hyperbolically decaying instead of geometrically decaying autocorrelation functions that challenge traditional functional time series models of forecasting. In existing hybrid forecasting frameworks, the st...

Compact wideband circularly polarized antenna and its self-decoupled MIMO configuration for 28-GHz band targeting 5G/6G millimeter-wave networks

Abstract Millimeter-wave communication has become a cornerstone of emerging 5G and future 6G systems due to its ability to support multi-gigabit data rates, ultra-low latency, and dense device connectivity. These performance requirements enforced constraints that are not limited...

Decoding multidimensional water quality in arid industrial lakes: a comprehensive CCME-WQI, HPI, and GIS-based evaluation of the Arab al-Ulayqat system

Effective water quality management is crucial in arid regions, where inland water systems are highly vulnerable to anthropogenic pressure and climatic stress. This study aimed to assess water quality in Egypt’s Arab al-Ulayqat Lakes using physicochemical, microbiological, heavy-m...

Synthesis of WO3/MnO2 Heterojunction Thin Film by AACVD for Photoelectrochemical Water Splitting

Aerosol-assisted chemical vapor deposition (AACVD) was used to prepare a thin film of the heterojunction MnO2/WO3 onto an FTO glass substrate. The WO3/MnO2 heterojunction thin film exhibited a monoclinic WO3 structure characterized by a nanorod-like shape and substantial interfac...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...