Abu Dhabi University

Rank‐Maximal Robust Augmented Observer for Simultaneous Actuator and Sensor Fault Reconstruction in Fractional‐Order Descriptor One‐Sided Lipschitz Systems

ABSTRACT This paper develops a rank‐maximal robust augmented observer that simultaneously reconstructs the state, the actuator faults and the sensor faults of fractional‐order descriptor (singular) systems whose nonlinearity satisfies the one‐sided Lipschitz (OSL) and quadratic i...

Public health workforce reform in Abu Dhabi: a pathway to evidence-based policy and global standards alignment

Reforming the public health workforce in Abu Dhabi and across the United Arab Emirates (UAE) became increasingly urgent during and after the COVID-19 pandemic, alongside wider pressures from evolving public health challenges and health-system transformation. A mixed-methods study...

Digital Media Literacy in the Age of AI: Exploring the Comfort–Competence Gap Among University Students in the United Arab Emirates

Artificial intelligence increasingly mediates how citizens access information, making digital media literacy a condition for informed participation. This exploratory study conceptualizes a comfort–competence gap, whereby students report confidence and ease in using AI tools but a...

Confronting Biodiversity Risk: Its Role in Shaping Corporate External Financing Choice

ABSTRACT This paper investigates how biodiversity risk shapes corporate financing decisions. We propose a Financing Hierarchy Distortion framework, arguing that biodiversity risk amplifies information asymmetry and legitimacy costs, thereby pushing firms toward debt‐heavy adjustm...

AI-driven agility as a pathway from strategic alignment to organizational performance: evidence from the UAE healthcare sector

Purpose Artificial intelligence (AI) is reshaping the healthcare sector; however, many hospitals struggle to convert AI investments into performance gains owing to misalignment and limited agility. This study examines the association between strategic alignment (SA) and perceived...

Technological dynamism and labor investment efficiency: exploring strategic resilience

This study contributes to the literature by exploring the impact of technological dynamism (TD) on labor investment efficiency, analyzing non-financial U.S. firms listed on the S&P 500 index from 1993 to 2023. Employing a novel TD measure based on industry-level R&D intensity, we...

Acoustic Emission Metrology for Real-Time TIG Welding Monitoring: Spectral Characterization and Interpretability via Explainable AI

Tungsten inert gas (TIG) welding of AA5083 aluminum alloy is sensitive to heat input and shielding conditions, which can lead to defects such as porosity and burn-through that compromise weld quality. Conventional non-destructive testing methods are generally performed after weld...

A novel deep learning-based approach for liver segmentation from 3D CT images using probabilistic shape guidance

Abstract Accurate liver segmentation is essential for computer-aided diagnosis (CAD) systems, yet it remains challenging due to anatomical variability, indistinct organ boundaries, and tissue intensity variations in both normal and pathological cases. To address these challenges,...

A critical review of BFRP-Reinforced concrete beam performance: failure mechanisms, design considerations, code provisions, and experimental–numerical correlations

Basalt fiber-reinforced polymer (BFRP) bars are a non-metallic, sustainable alternative to conventional steel reinforcement, offering corrosion resistance, a high strength-to-weight ratio, and enhanced durability in aggressive environments. This paper presents a review of BFRP-re...

Perceptual and sociocultural determinants of agricultural entrepreneurship in developing countries: a GEM data analysis

Purpose Responding to calls for greater understanding of the behavioural drivers of agricultural entrepreneurship, this study examines how perceptual and sociocultural factors, together with key demographic characteristics, influence individuals' engagement in early-stage agricul...

Entropy stable numerical schemes for divergence diminishing Chew, Goldberger & low equations for plasma flows

Chew, Goldberger & Low (CGL) equations are a set of hyperbolic PDEs with non-conservative products used to model the plasma flows, when the assumption of local thermodynamic equilibrium is not valid, and the pressure tensor is assumed to be rotated by the magnetic field. This res...

Effectiveness of a Mobile Application with an AI-Powered Chatbot to Enhance Nursing Students' Awareness of Substance Abuse Prevention: An Interventional Study

Background Substance abuse among university students has emerged as a significant problem from a public health perspective, with specific patterns observed among the population in Jordan. Chatbots developed using artificial intelligence are effective instruments in health educati...

Caught in the line of fire: tariffs and the global hospitality workforce

Purpose This critical reflection article critically examines how contemporary tariff regimes, particularly reciprocal and retaliatory trade measures, are reshaping the global hospitality workforce. Moving beyond traditional economic analyses of tariffs, by developing three propos...

Predicting time-to-progression in Alzheimer’s disease using artificial intelligence for survival analysis models: a systematic review and meta-analysis

Machine learning (ML) and deep learning (DL) for survival analysis models are increasingly used to predict Alzheimer’s disease (AD) progression, yet their comparative effectiveness remains unclear. This review evaluates the performance of ML and DL for survival analysis models ac...

Pre-monsoon hydrochemistry and multivariate analysis of deep groundwater, Sagar Island, Sundarbans

Abstract Deep Quaternary aquifers in Holocene mega-deltas are often assumed to be protected by low-permeability clay aquitards, yet they remain vulnerable to climate-driven and anthropogenic stress. This study investigated the confined aquifer system of Sagar Island, India, durin...

My Heart: a personalized interactive cardiovascular care system using artificial intelligence

Cardiovascular diseases (CVDs) remain the leading cause of death globally, driven by misinformation, low health literacy, and fragmented patient engagement. Existing digital health solutions often lack personalized, bilingual responsive education and proactive risk assessment, es...

Pathology-Guided Transcriptomic Profiling of Prostate Cancer Identifies Grade-Associated Proliferative and Immune Signatures in a MENA Cohort

Background: Prostate cancer (PC) is a heterogeneous disease in which the histopathological grade does not always reflect underlying biological behavior. While transcriptomic studies have provided insight into tumor biology, grade-associated molecular changes remain incompletely d...

From Hunger to Hospitality: Food, Memory, and Collective Identity in Mohammed Dib’s La Grande Maison and Diana Abu-Jaber’s Crescent

Background This study explored food memory in Mohammed Dib’s La Grande Maison and Diana Abu-Jaber’s Crescent. Recent scholarship conceptualizes food as a symbolic and cultural medium that shapes memory, identity, exile, trauma, and belonging rather than merely satisfying physical...

Numerical and experimental study of perforated-ring inserts for water-cooled tube heat transfer

Thermal losses in absorber tubes constrain the efficiency of water-cooled photovoltaic-thermal systems. This work presents an absorber tube fitted with perforated-ring inserts, coupling high-resolution Computational Fluid Dynamics (CFD) optimization with experimental thermohydrau...

From adoption to assimilation: routinised GenAI use and SMEs' digital presence

Purpose This study examines whether and how SMEs' post-adoption use of generative AI (GenAI) relates to firms' market-facing digital presence. Moving beyond binary adoption, it asks how three usage patterns, i.e. duration (continuity over time), volume (cumulative interaction) an...