King Fahd University of Petroleum and Minerals

Integrated optimization for least-cost, low-emission electricity pathways: Evidence from Saudi Arabia

This paper analyses least-cost, low-emission electricity pathways for Saudi Arabia over 2018–2040. Using the LEAP modelling framework, four supply pathways are evaluated under a common electricity demand trajectory reaching 640.2 TWh by 2040, requiring approximately 707.4 TWh of...

Interfacial Engineeringof Carbene-FunctionalizedZIF-90 Porous Liquid-like Dispersion-Based Mixed Matrix Membranesfor Enhanced Ethanol Recovery via Pervaporation

Abstract Mixed matrix membranes (MMMs) are promising for overcoming the permeability–selectivity limitations of polymeric membranes, yet their performance is often restricted by filler aggregation and interfacial defects at high loadings. Here, we introduce ZIF-90 in a porous liq...

Can artificial intelligence improve precision dosing? a systematic review of narrow therapeutic index drugs

Abstract Background Precision dosing of narrow therapeutic index drugs remains challenging because of substantial interindividual variability and the narrow margin between therapeutic efficacy and toxicity. Artificial intelligence (AI)–based approaches may improve individualized...

Advanced Sustainable Process Integration and Comprehensive Techno-Economic Evaluation of Polystyrene Waste Upcycling into Methanol as a Clean Alternative Fuel

This study presents an integrated and sustainable approach for the valorization of polystyrene (PS) plastic waste into methanol, contributing to circular carbon utilization and waste-to-fuel strategies. Two simulation models were developed in Aspen plus. In Case 1, PS is converte...

Confusing and Challenging Negative Proposals Mining for Few-Shot SAR Ship Detection Based on Uncertainty Estimation

Deep-learning-based few-shot synthetic aperture radar (SAR) ship detection has demonstrated considerable potential in scenarios with limited annotated samples and dynamically emerging ship categories, closely matching the practical requirements of maritime surveillance and intell...

Enhancing Drone Light Shows Performances: Optimal Allocation and Trajectories for Swarm Drone Formations

ABSTRACT Drone light shows (DLShows) represent a rapidly growing application of swarm robotics, creating captivating aerial displays through the synchronized flight of hundreds or thousands of unmanned aerial vehicles (UAVs) as environmentally friendly and reusable alternatives t...

Frobenius-Polynomial Second-Order Linear Differential Equations: Structure and Recognition in the Real-Indicial Case

We study equations y′′+P(x)y′+Q(x)y=0, with P,Q∈C(x), that admit two linearly independent local solutions y1=xrA(x) and y2=xsB(x) at the regular singular point 0, where A and B are polynomials and A(0)B(0)≠0. We call these Frobenius-polynomial type (FP) equations and focus on the...

BAM: A physics-informed self-supervised framework for near-real-time wildfire burned area mapping from multi-source earth observation

The operational monitoring of global wildfires is frequently constrained by the delayed availability of reliable reference labels, the latency of standard surface reflectance products, and spectral confusion between charred biomass and naturally dark surfaces. These limitations a...

Investment under uncertainty: asymmetric responses to exchange rate and volatility in the G7 countries

Purpose This study aims to examine the symmetric and asymmetric effects of exchange rate changes and exchange rate volatility on domestic investment in G7 economies. It investigates whether currency appreciations and depreciations and increases and decreases in volatility exert d...

Temporal Fusion Transformer for Fracture Evolution Prediction in Hot Dry Rock Hydraulic Fracturing

Hot dry rock (HDR) represents a highly promising sustainable clean energy resource for the future, with the fracture network induced by hydraulic fracturing serving as the cornerstone for thermal energy extraction efficiency. However, conventional numerical simulation tools are c...

An Integrated explainable machine learning framework for pavement condition assessment and maintenance prioritization: A Saudi Arabian case study

Abstract Effective pavement condition assessment is critical for maintaining durable, safe, and well-performing road networks, particularly in arid regions such as Saudi Arabia, where heavy traffic loading, high temperatures, and surface distress accelerate pavement deterioration...

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...

Fostering Circularity Through Digital Leadership: Mediation of FinTech and Moderation of Environmental Turbulence and Organizational Agility

ABSTRACT Unsustainable consumption and production practices threaten global economic stability and ecosystems, creating an urgent need for circular economy ( CE ) adoption. However, implementing CE practices remains challenging, especially for small and medium enterprises (SMEs)....

Enhanced stellar oscillation algorithm for optimal design of inudstrial components

Abstract This paper introduces the Modified Stellar Oscillation Optimizer (MSOA) for constrained industrial design problems. The base optimizer, which models the pulsation and oscillatory behavior of stars, is hybridized with chaotic maps. MSOA is tested on five constrained engin...

Impact of surface division and zone characteristics on outdoor surface temperature modeling with EnergyPlus

Several graphical user interface (GUI) tools used by energy modelers are powered by EnergyPlus, a widely recognized building energy modeling engine. Recent advancements in these tools have improved the creation of building geometries for energy modeling. Ladybug Tools, a Grasshop...

Advances inThin-Film Nanocomposite (TFN) ReverseOsmosis Membranes for Desalination and Boron Removal

Abstract Thin-film nanocomposite (TFN) reverse osmosis (RO) membranes have emerged as a versatile platform for advancing desalination performance beyond conventional salt rejection. Among neutral solutes, boron remains the most persistent challenge, as its dominant species in sea...

Rural entrepreneurship and ecommerce interlinkage: a multi-country exploration in the African context

Purpose To explore the challenges facing rural entrepreneurs in adopting ecommerce in an under-researched African context, this study aims to adopt a multi-country exploration involving five countries and offers valuable managerial and theoretical implications. Design/methodology...

Magnetically modified orange peel powder: A sustainable and recoverable adsorbent for enhanced removal of Rhodamine B

Orange peel powder (OPP) has been widely explored for dye adsorption; however, its limited adsorption capacity and poor separation efficiency restrict its practical applicability. In this study, magnetic Fe 3 O 4 nanoparticles were successfully integrated with OPP through a green...

Molecular and Supramolecular Pathways for CO 2 Separation Membranes: Amine‐Functionalized Silica and Hydrogen‐Bonded Organic Frameworks

Efficient CO 2 capture from flue gas is fundamentally limited by the trade‐off between permeability, selectivity, and chemical stability. Amine‐functionalized sorbents (AFS) achieve high selectivity via strong chemisorption, but suffer from kinetic limitations, pore blocking, and...

A configurational perspective of digital transformation: uncovering the multiple pathways to digital success in an emerging economy

Purpose Digital transformation (DT) research remains fragmented as prior studies adopt linear and factor-based approaches that overlook causal complexity. Drawing on the configurational theory and critical realism, this study addresses whether and how multiple organizational cond...