Spatial Distribution and Abundance of Emerging Microplastics Pollutants in Groundwater of UAE by Tatan, Bushra

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Spatial and temporal assessment of metal pollution in the sediments of the Qaraoun reservoir, Lebanon by Wazne, Mahmoud

“…Total metal concentrations and the environmental indices indicated increased pollution with time. Total organic carbon data showed a remarkable and significant increase in the organic fraction in 2013 relative to previous years. …”
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Modeling electricity consumption patterns during the COVID-19 pandemic across six socioeconomic sectors in the State of Qatar by Ammar, Abulibdeh

“…The results also show that there were variations of spatial clustering of electricity consumption among these sectors. …”
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Spatial modelling of contribution of individual level risk factors for mortality from Middle East respiratory syndrome coronavirus in the Arabian Peninsula by Oyelola A. Adegboye (4287826)

“…The odds of dying from the disease was found to increase as age increased beyond 25 years and was much higher for individuals with any underlying comorbidities.…”

Geospatial assessment of the carbon footprint of water and electricity consumption in residential buildings in Doha, Qatar by Ammar, Abulibdeh

“…Furthermore, the findings underscore the significant impact of residential structures, especially villas, on Doha's CF emissions, revealing a marked seasonal increase, particularly during the summer months and a notable spike in 2020. …”
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Mapping subnational HIV mortality in six Latin American countries with incomplete vital registration systems by Local Burden of Disease HIV Collaborators (13279180)

“…</p><h3>Conclusions</h3><p dir="ltr">Our subnational estimates of HIV mortality revealed significant spatial variation and diverging local trends in HIV mortality over time and by age. …”

Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis... by Marissa B Reitsma (8674341)

Modeling electricity consumption patterns during the COVID-19 pandemic across six socioeconomic sectors in the State of Qatar by Ammar Abulibdeh (15785928)

“…The results also show that there were variations of spatial clustering of electricity consumption among these sectors. …”

Unveiling the Nexus Between Land Use, Land Surface Temperature, and Carbon Footprint: A Multi-Scale Analysis of Building Energy Consumption in Arid Urban Areas by Ammar Abulibdeh (15785928)

“…The findings reveal significant correlations between higher LST, reduced green spaces, and increased CF in residential and commercial sectors. …”

Exploiting Sparsity in Amplify-and-Forward Broadband Multiple Relay Selection by Ala Gouissem (7006463)

“…<p dir="ltr">Cooperative communication has attracted significant attention in the last decade due to its ability to increase the spatial diversity order with only single-antenna nodes. …”

Polarimetric SAR Speckle Reduction by Hybrid Iterative Filtering by Yahia, Mohamed

“…Then, to enhance the spatial details, the iterative filter is applied for few iterations. …”
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GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning by Semira, Mohammed

“…Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts to reduce them and promote sustainable transport systems. …”
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GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning by Semira Mohammed (15294167)

“…<p>Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts to reduce them and promote sustainable transport systems. …”

A meta‐analysis of the educational effectiveness of three‐dimensional visualization technologies in teaching anatomy by Yammine, Kaissar

“…Based on 2,226 participants including 2,128 from studies with comparison groups, 3DVTs (1) resulted in higher (d = 0.30, 95%CI: 0.02–0.62) factual knowledge, (2) yielded significant better results (d = 0.50, 95%CI: 0.20–0.80) in spatial knowledge acquisition, and (3) produced significant increase in user satisfaction (d = 0.28, 95%CI = 0.12–0.44) and in learners' perception of the effectiveness of the learning tool (d = 0.28, 95%CI = 0.14–0.43). …”
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High-Performance Acetic Acid Sensing Using Cerium-MoS₂ Composite for Beverages and Food Processing Industry by E. Safamariyam (22330186)

“…Transmission electron microscopy revealed the deposition of cerium nanoparticles onto MoS₂ flakes. The cerium nanoparticle density and size increases on the MoS₂ surface with an increase in cerium salt concentration during synthesis. …”

Invasive Species as Rivals: Invasive Potential and Distribution Pattern of Xanthium strumarium L. by Rafi Ullah (8146836)

“…<p dir="ltr">Xanthium strumarium L. is a globally successful invasive herb that has had significant negative ecological, economic and social impacts in many world regions. …”

Hydrodynamic Modelling of Sharjah lagoons (UAE) under Climate Changes by Singer, Mohamed Nashaat

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The effect of building height diversity on outdoor microclimate conditions in hot climate. A case study of Dubai-UAE by Shareef, Sundus

“…Urban geometry and buildings' morphology affect the thermal behaviour of the spatial en vironment. Urban compactness is a key variable that affects thermal performance in hot climates. …”
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The effectiveness of physical models in teaching anatomy by Yammine, Kaissar

“…Primary outcomes were defined as factual, spatial and overall percentage scores. The meta-analytical results are: educational methods using physical models yielded significantly better results when compared to all other educational methods for the overall knowledge outcome (p < 0.001) and for spatial knowledge acquisition (p < 0.001). …”
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Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment by Ikhlas Ghiat (16932564)

“…These predictive models assimilate microclimate, physiological and hyperspectral features with high temporal and spatial resolutions. The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”