Loss of FOXA2 induces ER stress and hepatic steatosis and alters developmental gene expression in human iPSC-derived hepatocytes by Maryam Aghadi (17128819)

“…Recently, we generated FOXA2 mutant induced pluripotent stem cell (FOXA2−/−iPSC) lines and illustrated that loss of FOXA2 results in developmental defects in pancreatic islet cells. …”

3D Tissue-Engineered Vascular Drug Screening Platforms: Promise and Considerations by Isra Marei (11312895)

Rhus coriaria L. (Sumac) Demonstrates Oncostatic Activity in the Therapeutic and Preventive Model of Breast Carcinoma by Peter Kubatka (11008854)

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

Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

“…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. Moreover, the coordinated charging supports flattening the load profile. …”

SynergyGrids: blockchain-supported distributed microgrid energy trading by Moayad Aloqaily (14158932)

“…The trading system shows 17.8% decrease in energy cost for consumers and 76.4% decrease in load over utility grids when compared with its counterparts.…”

Analyzing the effectiveness of various coatings to mitigate photovoltaic modules soiling in desert climate by Alaa Elsafi (22282354)

“…The results indicate a decrease in light transmittance and an increase in surface coverage area over time due to dust accumulation. …”

Raising awareness among health educators and educational institutions of the need to overcome the language barrier among Non-Native English speaking students of Health Sciences in... by Ghizlane Bendriss (9025832)

“…A questionnaire was proposed to students asking for: 1- their need for translation of scientific terms, 2- the language of study of sciences in high school, 3- their shyness in asking the meaning of a scientific term, 4- the usefulness of a bilingual English-Arabic glossary with Latin/Greek origins of the terms.…”

Aortic valve function post-replacement of severe aortic stenosis by transcatheter procedure versus surgery: a systematic review and metanalysis by Charbel Abi Khalil (14150028)

“…TAVR was associated with 37% (95% CI [0.51–0.78) mean RR reduction of post-procedural PPM, a decrease that was not affected by the surgical risk at inclusion, neither by the transcatheter heart valve system. …”

Hyper-Hypo study: A Retrospective Observational Study of Neonatal Hypoglycemia Related to Maternal Hypertension by Thiruveni Ramkumar (17075051)

“…However, a sub-group comparison of neonates (with initial blood glucose <2.6 mmol/L) showed methyldopa to be marginally associated with a 2 mmol/L decrease from the mean initial blood glucose, mean 1.6 ± 0.5 mmol/L, and methyldopa (1.4 ± 0.5 mmol/L; p= .045). …”

A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact by Samer Gowid (15955152)

“…Four scenarios based on a combination of various PV parameters using various Artificial Neural Network (ANN)-based MPP identifiers are presented, evaluated using the most common regression measure (Mean Squared Error (MSE)), improved in terms of the accuracy of the identification of MPP, and then compared. …”

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)

“…The X. strumarium exhibits late vegetative and reproductive phenology at higher altitudes, enabling them to occupy an empty niche and benefit from decreased competition for resource acquisition. The lower altitude plants show a higher growth rate (stem size increase, number of leaves, and leaf area) due to the higher nutrient availability. …”

Optimal Energy Dispatch Engine for PV-DG-ESS Hybrid Power Plants Considering Battery Degradation and Carbon Emissions by Laith Kanaan (21632714)

“…<p dir="ltr">Uncertainties in load and solar power forecasting, complex energy storage system (ESS) constraints, and feedback correction pose challenges for very short-term and short-term hybrid power plant scheduling. …”

Impact of Life-coaching on Students' Wellbeing and Engagement Levels in a Preparatory School in Qatar by Abderrahmane Dedeche (20773958)

“…However, the decrease was overall slighter with coaching group students. …”

Disrupted harvests: how Ukraine – Russia war influences global food systems – a systematic review by Hamid El Bilali (15864930)

“…Consequently, conducting extensive research into the conflict’s medium- and long-term consequences is crucial, especially in the context of developing countries, which have hitherto been largely overlooked in prior research.…”

Food safety knowledge attitude and practices of oncology nurses, in Lebanese hospitals by Angy, Mallah

“…Knowledge scores were higher among nurses holding a graduate degree (mean = 85; p < 0.05), and those who attended a training course (mean = 79; p < 0.05). …”
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Investigation of Groundwater Depletion in the State of Qatar and Its Implication to Energy Water and Food Nexus by Hazrat Bilal (7367477)

“…Results show a substantial depletion in the groundwater thickness (0.24 ± 0.20 cm/year) during the period of observation (2002–2020). Long-term temperature data indicates that the annual mean temperature increased significantly by 1.02 °C between 1987 and 2016, while total rainfall exhibited a slight decreasing trend. …”

COVID-19 and Anemia: What Do We Know So Far? by Luai Abu-Ismail (10712857)

“…This review offers a comprehensive overview of the evidence regarding the long-term complications of COVID-19 in anemic patients.…”

Forecast of the outbreak of COVID-19 using artificial neural network: Case study Qatar, Spain, and Italy by Moayyad Shawaqfah (17280637)

“…The model sensitivity was analyzed using the root mean square error (RMSE), the mean absolute percentage error and the regression coefficient index R2, which yielded highly accurate values of the predicted correlation for the infected and dead cases of 0.99 for the dates considered. …”

Machine Learning and Carbonate Reservoirs : A Production Data Perspective on Permeability Modelling by Mohamad Faysal Baalbaki (21547373)

“…</p><p dir="ltr">The ANN was rigorously tested, showing remarkable accuracy with the highest mean squared error (MSE) being 7.02 and the lowest MSE being 1.19, demonstrating its capability of modeling permeability. …”