Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burd... by Katherine R Paulson (8674293)

“…In 2019, 136 (67%) of 204 countries had a U5MR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030, 154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. …”

A positive change in energy balance modulates TrkB expression in the hypothalamus and nodose ganglia of rats by Zeeni, Nadine

“…Secondly, using rats that received the same diets, real-time PCR was performed in the DVC, hypothalamus and nodose ganglia in order to compare TrkB receptor levels. …”
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Effect of structural remodeling (retraction and recoil) of the pipeline embolization device on aneurysm occlusion rate by Jou, L.-D.

“…The diameter and length of the Pipeline Embolization Device were measured at both time points and compared for determination of the device changes. …”
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Numerical analysis of spatial distribution of carbon in methane dry reforming over supported nickel catalyst in a packed bed reactor by Ebrahimi, Parisa

“…The total carbon deposited was estimated to be around 18 g after 10,000 s of Time on Stream (TOS) at 650 °C. As the temperature increased, the total carbon deposition decreased, although this reduction became negligible beyond 850 °C. …”
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Global, regional, and national burden of household air pollution, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021 by Fiona B, Bennitt

“…We first estimated the mean fuel type-specific concentrations (in μg/m3) of fine particulate matter (PM2·5) pollution to which individuals using solid fuels for cooking were exposed, categorised by fuel type, location, year, age, and sex. …”
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Associating learning technology to sustain the environment through green mobile applications by Haraty, Ramzi A.

“…Thus, it presents a stepping stone towards linking learning technology while at the same time sustaining the environment.…”
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Removal of copper ions from aqueous solution using NaOH-treated rice husk by Shagufta Zafar (10027380)

“…The chemical treatment was carried out using NaOH solution and the effect of contact time (tc), adsorbent dosage (Dad), initial Cu (II) concentration ([Cu]i), and temperature (T) on the percentage removals of Cu (II) (%RCu) were investigated. …”

On-site workshop investment problem: A novel mathematical approach and solution procedure by Nima Moradi (19418821)

“…These temporary OSWs are cost-effective, leading to decreasing the material handling cost and project makespan, which indicates their important role as a part of a construction project. …”

Energy saving potential analysis applying factory scale energy audit – A case study of food production by Derar Al Momani (17831981)

“…The CO₂ harmful emissions were also decreased. Additionally, it is estimated that switching from the proposed motors to energy-efficient motors will cost less overall over time, saving around 3472.314 JD/month or 0.33576/year on average. …”

Engagement as a Dynamic but Perceivable Variable in Language Classroom Interactions by Shepherd, Lydia

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Resilience of UAE high-rise buildings to climate change: Impacts of projected climate changes on annual energy demands. by Sallam, Duaa

“…To achieve this goal, future weather datasets in hourly time step for UAE were collected from three statistical tools representing stabilization and high emission scenarios. …”
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Processing Effects on the Oxytetracycline and Tylosin Antibiotic Residues in Middle Eastern Dairy Products by Saidy, Liz

“…OTC and TYL were not homogenously distributed between the dairy products. Skimming decreased significantly (p=0.015) TYL concentration by 68.6%. …”
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Molecular Mechanisms of Adiponectin-Induced Attenuation of Mechanical Stretch-Mediated Vascular Remodeling by Crystal M. Ghantous (14571292)

“…Mechanically stretching the RPV significantly decreased APN protein expression after 24 hours and APN mRNA expression in a time-dependent manner in VSMCs. …”

Metformin attenuates V-domain Ig suppressor of T-cell activation through the aryl hydrocarbon receptor pathway in Melanoma: In Vivo and In Vitro Studies by Fawaz E., Alanazi

“…Here, metformin significantly decreased VISTA and AHR levels in vitro and in vivo. …”
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Cost-benefit analysis of antimicrobial stewardship program in a cancer setting in Qatar by Dina Abushanab (10696501)

“…Cost avoidance was the expenses saved due to decreased hospital stays and fewer adverse drug events (ADEs). …”

Refugees under international law. (c2004) by Abichedid, Darina Saliba

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Whole-Genome Molecular Characterization and Typing of Staphylococcus aureus Isolated from Lebanon by El Hassan, Sarah

“…For the first time, we detected an untypeable SCCmec cassette harboring multiple ccr complexes or missing some of the conserved genes. …”
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Prediction of critical total drawdown in sand production from gas wells: Machine learning approach by Fahd Saeed Alakbari (10701871)

“…The CTD is a strong function of the total vertical depth, cohesive strength, effective overburden vertical stress, and transit time with correlation coefficients (<i>R</i>) of 0.968, 0.963, 0.918, and −0.813. …”

Application of Enhanced Self-Adaptive Virtual Inertia Control for Efficient Frequency Control of Renewable Energy-Based Microgrid System Integrated with Electric Vehicles by Sonalika Mishra (22393114)

“…It is noticed that with the SAEVIC approach, the overshoot (OS)-11.40%, undershoot (US)- 46.46%, settling time (ST)-98.6% and fitness value-10.27% are decreased as compared to conventional enhanced VI approach under Stochastic variations of wind, PV, and multi-step load disturbance of MG system.…”

FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

“…To avoid the constant adjustment of hyperparameters, the FLACON employs an inductive transfer learning approach for hyperparameter tuning of the pre-trained model, markedly decreasing training time. Extensive experiments on datasets from the IEEE 39-bus system and the IEEE 68-bus system demonstrate FLACON's exceptional accuracy of 98.98% compared to some competitive alternatives.…”