Hamad bin Khalifa University

Comprehensive AI workflow for radiological report generation from radiographs

The manual generation of radiology reports is time-consuming and error-prone, particularly for less experienced radiologists, leading to inefficiencies and delays in clinical workflows as case volumes increase. Therefore, automated radiology report generation can serve as valuabl...

SLFN11 enhances cisplatin sensitivity in pediatric cancer via activation of stress-response and suppression of survival pathways

Abstract Background Paediatric cancers pose treatment challenges due to biological heterogeneity and variable chemotherapy responses. SLFN11, a DNA/RNA helicase-like protein known to sensitise adult tumours to DNA-damaging agents, remains underexplored in paediatric malignancies....

Integrating circular economy, cradle-to-cradle, and closed loop systems in fashion supply chains: a systematic review from an industrial ecology perspective

Abstract The fashion industry, a leading contributor to carbon emissions, faces sustainability challenges despite extensive adoption of circular economy (CE) principles in the literature. While cradle-to-cradle (C2C) and closed-loop systems (CLS) are also corresponding pillars fo...

Human iPSC-based modeling reveals coding and non-coding transcriptomic alterations associated with RFX3 deficiency in pancreatic islets

Abstract Background RFX3 is a transcription factor (TF) critical for pancreatic endocrine development. Its loss impairs β-cell differentiation, promotes enterochromaffin cell (EC) generation, and induces apoptosis. However, the role of non-coding RNAs in mediating these effects r...

Developing and validating the Spanish version of the large language models dependency scale (LLM-D12-SP)

<title>Abstract</title> There is a growing need for reliable and culturally validated instruments to assess psychological dependency on large language models (LLMs), particularly as LLMs are increasingly used for task execution, decision-making, and communication in organizationa...

How Personal and Cognitive Traits Influence AI Attitudes, Ethics, and Well-being: The Role of AI Autonomy and Criticality in Design

Abstract As artificial intelligence (AI) systems become increasingly prevalent in decision-making, it’s essential to understand public perceptions in various contexts and cultures for responsible use. This study examines the relationship between acceptance and fear of AI, conside...

Nanopore-ConfinedSub-Nanometer Co and Ni Specieson Porous Carbon Nitride for Efficient Water Electrolysis

Abstract Electrochemical water splitting is a promising route in clean energy production. Therefore, the development of efficient, stable, and cost-effective electrocatalysts remains highly desirable. Here, we report a facile nanopore-confinement strategy for growing well-dispers...

Public Awareness and Engagement with Botanic Gardens Across the Arab Region: A Baseline Survey and Verified Institutional Inventory

The Arab world has produced almost no published data on public awareness of botanic gardens, despite having 53 institutions registered with Botanic Gardens Conservation International (BGCI) across 16 of the 22 League of Arab States (LAS) member states. Between October 2024 and De...

Challenge-response quantum reinforcement learning with application to quantum-assisted authentication

Abstract Quantum reinforcement learning (QRL) has emerged as a promising research direction that integrates quantum information processing into reinforcement learning frameworks. While many existing QRL studies apply quantum agents to classical environments, it has been realized...

Accelerated carbonation of recycled concrete aggregates: Binding of CO2 and decalcification of calcium-silicate-hydrate

Recycled concrete aggregates (RCA) are a valuable resource for reuse as aggregates in concrete and asphalt. However, the porous mortar adhering to the original aggregates and microcracks both in the mortar and at the interfaces result in increased water absorption and reduced mec...

Assessment of natural and anthropogenic radionuclides in marine sediments around the state of Qatar

Marine sediments in the Arabian Gulf serve as long-term sinks for both natural and anthropogenic radionuclides; however, comprehensive baseline data for Qatar’s coastline remain limited. This study focuses on determining the natural radioactivity levels in sediment around the Qat...

Signals from the noise: Decoding global AI discourse in central bank communications

This study examines how artificial intelligence (AI) has entered and evolved within the official communication of central banks. Using an archive of central bankers’ speeches covering 1996–2024, we develop a multi-stage NLP framework that combines an AI–finance lexicon validated...