Prince Sultan University

Thermal Decomposition Behaviour of Ethylene-Vinyl Acetate from End-of-Life Monocrystalline Solar Panels Under Slow Pyrolysis Treatment

This study investigated the low-temperature thermal treatment of EVA encapsulant from an end-of-life 180 Wp monocrystalline PV panel while evaluating the preservation of recovered crystalline silicon. TGA showed that EVA underwent major decomposition between approximately 330 and...

Progress in Anti-Obesity Drug Development: A Pharmacodynamics Perspective

Background/Objectives: Obesity is a chronic, multifactorial condition driven by complex neuroendocrine and metabolic pathways that limit the long-term success of lifestyle interventions. Pharmacotherapy has advanced from early monoaminergic agents to incretin-based and multi-rece...

Geopolitical risk and accounting conservatism: does financial reporting opacity matter? Evidence from an emerging market

As global markets increasingly navigate extreme external shocks, understanding how macroeconomic turbulence reshapes corporate financial reporting strategies remains a critical challenge for stakeholders. This study investigates the empirical relationship between macro-level geop...

Smart policy, green innovation: The mediation role of environmental regulation

Digitalization has become a key enabler for sustainable transformation, as it increases technological capacity, optimizes resource use and facilitates green innovation. This study examines the link between digitalization, environmental regulations, and green innovation by employi...

Digital Transformation, Carbon Disclosure and Firm Performance: The Moderating Role of Green Innovation in European Listed Firms

ABSTRACT In the context of accelerating digital and sustainability transitions, firms increasingly face the strategic challenge of simultaneously enhancing technological capabilities and environmental transparency. This study examines the associations of digital transformation an...

Bio-Inspired lattice-based cranial implants: comparative finite element analysis of topology-dependent mechanical performance, energy absorption, and osseointegration potential

Cranioplasty implants must provide mechanical protection while remaining lightweight and promoting biological integration. This study investigates bio-inspired lattice-based cranial implants incorporating four topologies: body-centred cubic (BCC), cubic, honeycomb and re-entrant....

Heat and mass transfer analysis in magneto-electroosmotic Oldroyd 8-constant fluid flow through a serpentine passage: a comparative FDM-CSCM analysis under convective and soret effects

In this draft, an analysis is carried out for Hall currents and variable transport characteristics in an electro-osmotically driven flow inside a serpentine wavy channel. The Oldroyd 8-constant model, along with heat and mass transfer, is taken into account. Assuming a low zeta p...

Field-validated climate-resilient HVAC control for mixed-use buildings in a hot-arid region

Buildings in desert cities are difficult to operate efficiently because heat waves and airborne dust increase cooling demand, alter short-term thermal behavior, and reduce HVAC efficiency. This study develops and field-validates an adaptive control framework for mixed residential...

A hybrid deep learning framework with fractional multi-scale directional texture features for automated waste classification

Accurate waste image classification is essential for intelligent recycling and sustainable waste management systems. However, reliable waste recognition remains challenging due to irregular object shapes, illumination variations, complex backgrounds, and limited annotated data. A...

Motivational Intensity, Enjoyment, and Shyness as Predictors of L2 Willingness to Communicate: Evidence from a South Asian Multilingual Context

This study investigated the intricate relationships among motivational intensity, foreign language enjoyment, boredom, shyness, and second-language (L2) willingness to communicate (WTC) in Pakistani university students. Using a quantitative cross-sectional de-sign, data were coll...

Digital dialogue and transparency: mayoral characteristics and the use of Threads in Italian local governments

Purpose Social media are increasingly used by local governments (LGs) to enhance transparency and public accountability, yet limited evidence exists on the role of emerging platforms and on how political leadership shapes their adoption. This study aims to address this gap by exa...

Generative data augmentation, explainable machine learning, and uncertainty analysis for compressive strength prediction of sustainable UHPC

Recent interest in ultra-high-performance concrete (UHPC) has been on the use of construction and demolition waste (CDW) due to the growing need to use sustainable construction materials. Recycled concrete powder (RCP), a product of CDW, is a promising way to reduce cement use, l...

Exploring the journey towards evidence-based clinical decision-making among emergency care personnel

Emergency care personnel play a critical role in providing timely and effective care, where the use of evidence-based practices is essential for informed clinical decision-making. This study explored the extent to which emergency care personnel incorporate evidence-based practice...

Efficient hardware realization of 2D-chaotic Baker map using FPGA for secure image encryption

As the digital ecosystem evolves, the widespread generation, transmission, and storage of medical images expose sensitive healthcare data to significant security threats, necessitating robust and efficient encryption techniques. While several chaos-based encryption methods have b...

Dynamical Analysis and Backstepping-Based Synchronization of a Fractional-Order Hyperchaotic Yan System Using RBF Neural Networks

This paper explores the dynamic behavior and control of a novel 4D fractional-order hyperchaotic Yan system, characterized by transitions between stability, periodicity, and chaos, driven by fractional-order parameters and initial conditions. The system’s complex nonlinear dynami...

Triple band Yagi antenna design and performance prediction for next generation (6G) wireless applications using supervised regression models

This study presents a high-performance Yagi antenna designed for sub-terahertz (sub-THz) and terahertz (THz) wireless communication applications, addressing the growing demands of emerging technologies such as high-resolution imaging, short-range secure communication, sensing, sp...

A Blockchain-Enabled Security Framework for Cloud-Based Sensor Systems with Deep Learning-Driven Attack Classification

Cloud-integrated sensor and Internet of Things (IoT) systems enable scalable data storage, processing, and intelligent monitoring, but their distributed nature exposes network-flow and host-level data to unauthorized access, tampering, and cyberattacks. This study proposes a Weig...

A spatiotemporal attentive recurrent neural network for robust RSS based indoor localization

Indoor localization remains challenging in GPS-denied environments due to weak signal reception and non-line-of-sight conditions. Among various techniques, WLAN Fingerprinting using Received Signal Strength (RSS) has emerged as a cost-effective solution that leverages the widespr...

How perceived virtual-idol advertising appeals shape impulsive hotel booking intention: identity-activated persuasion in Saudi hospitality

Virtual idols – digitally created influencers with programmable personas and symbolic identities – are increasingly used in hospitality marketing, yet the processes through which their perceived advertising appeals shape booking-related responses remain insufficiently understood....

Adaptive modulation in 6G terahertz systems via online reinforcement learning–PSO meta-optimization

The rapid evolution of sixth-generation (6G) wireless systems has intensified the need for adaptive modulation strategies capable of operating reliably and efficiently in highly dynamic terahertz (THz) communication environments. Conventional threshold-based and static optimizati...