Qatar University

Cyber behaviour and personality nexus: clustering around security attitudes, FoMO, problematic social media use, and cognitive and personality traits?

Abstract Our research examines whether cyber behaviours can be classified through personality factors. The study involved 642 participants, including 314 from the United Kingdom (UK) and 328 from the Arab Gulf Cooperation Council (GCC). Using conscientiousness, neuroticism and ne...

Domain adaptation and self-training for improved cross-batch classification of spectroscopic data: a comparative analysis of feature normalization techniques

Surface-Enhanced Raman Spectroscopy (SERS) enables sensitive, label-free chemical identification, but machine-learning models trained on a single acquisition session frequently underperform when applied to spectra from a different batch, owing to substrate, instrument, and sessio...

Screening of Attention-Deficit Hyperactivity Disorder and its associated factors among medical university students in Lebanon: A multicenter cross-sectional study

Attention-Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder that may adversely affect academic performance and well-being. Data on ADHD among Lebanese medical students are limited. This study assessed the prevalence of probable ADHD symptoms and associ...

A simulation study of underground hydrogen storage (UHS) in a partially depleted gas reservoir: A case study for the North Field, Qatar

The transition to a low-carbon energy future has shifted the global focus on hydrogen (H2) as a clean energy carrier, especially its role in blue ammonia production. H2 storage in aboveground tanks presents several challenges, including high material costs, limited capacity, safe...

Holistic segmentation of minimally-invasive robotic surgical scenes using feature-adaptive localization

Holistic surgical scene segmentation is vital for training novice surgeons in robotic minimally invasive surgeries (RMIS). While the SegFormer model shows great potential due to its adaptability to various input image resolutions, the contrast between surgical instruments and ana...

Age-Adjusted Phenome-Wide Analysis Identifies Liver Enzymes and Lipid Markers Associated with Prevalent Breast Cancer in the Qatar Biobank

Most evidence linking phenotypic traits to breast cancer risk derives from Western populations, leaving a critical gap for the Middle East and North Africa region, where breast cancer presents at younger ages and where demographic, metabolic, and lifestyle profiles differ substan...

Neurocognitive outcomes in pediatric brain arteriovenous malformations: a systematic review

Introduction Pediatric brain arteriovenous malformations (AVMs) are an important cause of hemorrhagic stroke and long-term morbidity. Neurocognitive outcomes remain incompletely characterized. Objective To synthesize reported neurocognitive, educational, and occupational outcomes...

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....

A cascaded PID-reinforcement learning-based virtual inertia control in microgrid load frequency control system using electric vehicle energy storage

The islanded microgrids increasingly depend on renewable energy sources for power generation and introduce significant frequency control challenges due to the renewable sources’ intermittent nature and low system inertia. Traditional energy storage systems, though employed and ef...

Deep learning-based stress detection using multimodal biosignals

Abstract Stress-related health problems drive an urgent need for sensitive, real-time monitoring devices capable of capturing psychophysiological stress dynamics in natural settings. This study presents a stress detection system that uses deep learning, combining synchronized phy...

A Transformation-Based AI Framework for Equitable RTI Tier Classification in Qatar

Consistent and equitable classification of students within Response to Intervention (RTI) frameworks remains a significant challenge in Qatar’s educational system, where tier-assignment decisions rely predominantly on qualitative, multidisciplinary evaluation reports rather than...

Numerical optimization of HTL-free Cs2AgBiBr6 double perovskite solar cells

Abstract The growing need for sustainable and clean energy has fueled important developments in photovoltaic technology. Because of its improved environmental stability and lead-free makeup, double perovskite solar cells (PSCs) have become one of the most attractive options for n...

Priority setting for older adult vaccines in Indonesia: a multi-criteria decision analysis using SMART vaccines

BACKGROUND: Indonesia's aging population faces substantial vaccine-preventable disease burdens, while vaccine introduction decisions remain constrained by limited resources and the absence of a prioritization framework. This study prioritized vaccines for older adults in Indonesi...

Machine learning-based hindcasting of significant wave heights in the Arabian Gulf

This study developed a machine learning (ML) framework for long-term hindcasting of significant wave height (H S ) in the Arabian Gulf using Random Forest Regression (RFR) and eXtreme Gradient Boosting (XGB). The models were trained and tested using ERA5 wind and wave data at eig...

Decadal urban thermal dynamics in a hyper-arid Gulf city: district-scale evidence from Doha, Qatar (2014–2024)

Arid cities face high surface warming due to rapid urbanization and limited vegetation, yet their spatiotemporal variability remains underexplored. This study investigates summer (May–September) land surface temperature (LST) dynamics, thermal hotspots and spectral index–LST corr...

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...

Machine Learning Guided Meta-transcriptomics Reveals OsRPM1 as a Key Regulator of Rice Blast Resistance

Rice blast, caused by Magnaporthe oryzae , is the most destructive fungal disease of rice, responsible for annual yield losses of 10–30% and posing a major threat to global food security. The rapid evolution of blast pathotypes and the polygenic nature of resistance complicate br...

Molecular characterization of mismatch repair deficient tumors in young Jordanian patients

<title>Abstract</title> In Jordan, approximately 19% of colorectal carcinomas (CRCs) in patients younger than 45 years show mismatch repair deficiency (MMRD) by immunohistochemistry (IHC). MMRD in pediatric high-grade gliomas (HGG) and CRC in Jordan appears substantially more fre...

Inter-examiner reliability in periodontal diagnosis and treatment planning using the 2018 classification and the EFP S3 clinical guideline

Abstract Background The 2018 Classification of Periodontal and Peri-Implant Diseases and Conditions introduced a multidimensional diagnostic framework incorporating staging, grading, and extent, the European Federation of Periodontology (EFP) S3-level clinical practice guidelines...

Towards emotion-aware online learning through facial expression analysis

Purpose Online learning environments provide rich digital traces of learner activity, yet they offer limited access to the non-verbal affective cues that instructors naturally observe in face-to-face classrooms. This study investigates facial expression analysis as an affective s...