Simulation of the size-composition distribution of atmospheric nanoparticles over Europe by David Patoulias (4722960)

“…The ground level concentrations of particles with a diameter larger than 100 nm (N100) were reproduced with a daily normalized mean error of 40 % and a daily normalized mean bias of −20 %. …”

Excess pCO2 and carbonate system geochemistry in surface seawater of the exclusive economic zone of Qatar (Arabian Gulf) by Connor, Izumi

“…CO2 is lost from the Gulf due to gas exchange, decreasing DIC, and reducing pCO2 to 464 μatm, similar to that observed. …”
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Portfolio Selection Problem Using CVaR Risk Measures Equipped with DEA, PSO, and ICA Algorithms by Abdelouahed Hamdi (14158899)

“…It was found that when solving the Mean-CVaR model with evolutionary algorithms, the risk decreased. …”

Land surface temperature responses to land use dynamics in urban areas of Doha, Qatar by Shikha, Patel

“…The LST data derived from remote sensing sources demonstrates an upward trend for summer and a contrasting trend for winter. Specifically, the mean summer LST increases by 7.64 °C (0.34 °C annually), and the mean winter LST decreases by 4.87 °C (0.22 °C annually). …”
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Entropy generation due to Laminar Natural Convection over a Heated Rotating Cylinder by A.K. Abu-Hijleh, Bassam

“…The study was conducted for three cylinder radii and covered wide ranges of Reynolds number and buoyancy parameter. …”
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Stress Management Using Physiological Signals and Audio Stimulation by Katmah, Rateb Majd

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Mental health, burnout and resilience in community pharmacists during the COVID-19 pandemic: A cross-sectional study by Zeana, Samir AlKudsi

“…Participants had shown moderate resilience (mean score: 27.64 (SD = 8.31)) and their mean score fear of COVID19 was 15.67 (SD = 6.54). …”
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Impact of staying at home measures during COVID-19 pandemic on the lifestyle of Qatar’s population: Perceived changes in diet, physical activity, and body weight by Muna Abed Alah (14779534)

“…Participants reported increased sitting/reclining time (1.94 h/day mean increase), screen times (2.05 h/day mean increase) with p < 0.001, and decreased exercise time (0.11 h/day mean reduction) with p < 0.001. …”

Which factor explains the life‐history of <i>Xanthium strumarium</i> L., an aggressive alien invasive plant species, along its altitudinal gradient? by Rafi Ullah (8146836)

“…Among climatic variables, mean yearly temperature, mean annual yearly humidity, and mean day length in hours, while in soil variables, organic matter and nitrogen percentage significantly affect the phenological and morphological stages. …”

Land surface temperature responses to land use dynamics in urban areas of Doha, Qatar by Shikha Patel (14151027)

“…The LST data derived from remote sensing sources demonstrates an upward trend for summer and a contrasting trend for winter. Specifically, the mean summer LST increases by 7.64 °C (0.34 °C annually), and the mean winter LST decreases by 4.87 °C (0.22 °C annually). …”

Correlating the rheological and magneto-optical properties of cobalt substituted magnetite ferrofluids (Co_xFe_1−xFe₂O₄) with theoretical... by Blessy Babukutty (17871482)

“…<p dir="ltr">Magnetite ferrofluids are widely reported due to their outstanding physicochemical, magnetic and antibacterial properties. …”

Optimization of Electric Vehicles Wireless Charging by Gesrou, Abdalla

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An adaptive load-balancing approach to XML-based network management using JPVM by Sqalli, M.H.

“…SNMP is the most widely used network management protocol. Since SNMP is based on a centralized approach, it is confronted with scalability and efficiency problems when the network expands. …”
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Machine Learning-Based Adaptive Load Balancing Framework for Distributed Object Computing by Helmy, Tarek

“…Distributed object computing is widely envisioned to be the desired distributed software development paradigm due to the higher modularity and the capability of handling machine and operating system heterogeneity. …”
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Effect of carbon nanotubes on the bonding mechanism of non-corrosive reinforcements to concrete by Alaa, Taha

“…This study aimed to assess the impact of waterborne pre-dispersed multiwall carbon nanotubes (MWCNTs) at a concentration of 0.2 wt % on the bond strength between concrete and non-corrosive reinforcements, including stainless steel (SS), glass fiber reinforced polymers (GFRP), and basalt fiber reinforced polymers (BFRP) bars. …”
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Association Between Three-Months Vitamin D Supplementation and Depressive Symptomatology incidence among Saudi Arabian Adults by Khaddaj, Rashel

“…Results: The final sample size included 71 participants with an average age of 30.23 ±7.66and constituted of 59.2% females. The mean baseline 25(OH)D3 concentration was 16.92±7.23ng/ml in the vitamin D group and 16.44±5.91 ng/ml in the control group (p =0.76). …”
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Effect of carbon nanotubes on the bonding mechanism of non-corrosive reinforcements to concrete by Alaa Taha (17302783)

“…<p>This study aimed to assess the impact of waterborne pre-dispersed multiwall carbon nanotubes (MWCNTs) at a concentration of 0.2 wt % on the bond strength between concrete and non-corrosive reinforcements, including stainless steel (SS), glass fiber reinforced polymers (GFRP), and basalt fiber reinforced polymers (BFRP) bars. …”

Comparative Study of Several Energy Dissipating Devices by Abdul-Latif, Akrum

“…It is concluded that the energy absorbed for a given system decreases with the increase of the R ratio. It is recognized that the highest absorbed energy is obtained in the constrained situation with deformable non-deformable compared to the other situations. …”
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The distribution of toxic sources in Louisiana by Djoundourian, Salpie Sarkis

“…A distance gradient analysis indicates that as distance from the nearest toxic source increases, the mean percentage of blacks in the community decreases and the mean percentage of whites increases. …”
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Heat Transfer From a 2D Backward Facing Step With Isotropic Porous Floor Segments by A/K Abu-Hijleh, Bassam

“…The porosity of the segments was varied over a wide range by changing the value of the pressure loss coefficient . …”
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