Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

“…However, agricultural areas decreased from 152.13 km² (18.5%) in 1980 to 140.38 km² (17%) in 2023, while barren lands decreased from 54.44 km² (6.6%) in 1980 to 34.71 km² (4.22%) in 2023. …”

Novel Wire Gripper for Robotics Picking of Small Green Parts From Powder Bed of Binder Jet Metal Additive Manufacturing by Abdulhamid Mathkur (22467373)

“…A combination of 304 stainless steel wires integrated with a PLA body allows the device to achieve precise handling and control together with versatile operation. …”

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. …”

Thermally Conductive Polyethylene/Expanded Graphite Composites as Heat Transfer Surface: Mechanical, Thermo-Physical and Surface Behavior by Patrik Sobolčiak (4401364)

“…The plasma treatment also improved the HDPE/EG composite overall heat transfer coefficient with an overall heat transfer coefficient of the composite reaching about 98% that of stainless steel. Moreover, the plasma-treated composite exhibited superior resistance to crystallization fouling in both CaSO4 solution and artificial seawater compared to untreated composites and stainless-steel surfaces.…”

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. …”

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. …”

Insights on the effect of water content in carburizing gas mixtures on the metal dusting corrosion of iron by El Tayeb Bentria (9904024)

“…<p dir="ltr">Constituents of syngas, such as water, carbon monoxide and sulfides, can cause the degradation of the steel pipes they move through, leading to carbon dusting and corrosion. …”

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. …”

Central and peripheral muscle fatigue following repeated‐sprint running in moderate and severe hypoxia by Nathan Townsend (14779642)

“…No significant differences between conditions for mean distance occurred in set 2. There was a decrease in maximal voluntary contraction torque (Δ = −31.4 ± 18.0 N m, <i>P</i> < 0.001) and voluntary activation (%VA; Δ = −7.1 ± 5.1%, <i>P</i> = 0.001) from Pre- to Post-set 1, but there was no effect of hypoxia. …”