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 %. …”

The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

“…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. …”
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M., Shibl

“…Deep RL is utilized to model the EV chargers and the EV users. …”
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M. Shibl (17821382)

“…Deep RL is utilized to model the EV chargers and the EV users. …”

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

“…In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining data privacy while coping with network topology changes. …”

Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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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. …”

Food purchase and eating behavior during the COVID-19 pandemic: A cross-sectional survey of Russian adults by Tarek Ben Hassen (15742605)

“…Indeed, the survey results suggested (i) a change in the modality of acquiring food, consumers reduced the number of shopping trips and buying more on each trip to minimize store visits; (ii) a surge of stockpiling of non-perishable food items; (iii) a shift toward healthier diets; (iv) an increase in culinary capabilities; (v) a decrease of food waste. …”

The global, regional, and national burden of stomach cancer in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease study 2017 by Arash Etemadi (330880)

“…Globally, 38·2% (21·1–57·8) of the age-standardised DALYs were attributable to high-sodium diet in both sexes combined, and 24·5% (20·0–28·9) of the age-standardised DALYs were attributable to smoking in males. …”

Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security by Muhammad Khubaib (22927822)

“…This research presents a deep learning technique based on the Shifted Window (Swin) Transformer, a powerful attention-based model that effectively captures both local and global information for enhanced classification output. …”

The global, regional, and national burden of oesophageal cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the Global... by Farin Kamangar (63964)

“…Between 1990 and 2017, age-standardised incidence decreased by 22·0% (18·6–25·2), mortality decreased by 29·0% (25·8–32·0), and DALYs decreased by 33·4% (30·4–36·1) globally. …”

Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN by Promit Basak (22997776)

“…The results of our study highlight the capacity of deep learning to improve the diagnosis of pediatric trauma, decrease the burden on radiologists, and boost patient outcomes.…”

A decision support system for automating document retrieval and citation screening by Raymon van Dinter (10521952)

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks by Abdul Qadeer Khan (22502168)

“…This paper proposes improved cell association schemes based on the battery levels of UE and Deep Q-learning (DQL) to achieve load balancing and to decrease the power consumption of Low Battery Users (LBUs). …”

OSRA Grant Cycle 5 Public Reports : Project Title: Comprehensive Parenting Program to Enhance Preterm Infants’ Health and Development A Randomized Controlled Trial by Lama Charafeddine (6843536)

“…To mitigate these issues, a comprehensive program for parents of preterm infants, both during their NICU stay and after discharge, was developed. The program aimed to increase parental knowledge, involvement, sensitivity, and responsiveness, empowering them to track their infants' developmental milestones using a mobile application in Arabic. …”

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. …”

Sequential therapy in patients receiving Fluoroquinolones at the American University of Beirut Medical Center. (c2001) by Homsi, Maria

“…Date of switch (if applicable), oral antibiotic chosen, mean time to switch, mean hospital duration, and mean treatment duration were also recorded. …”
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Dietary protein level alters gentamicin-induced nephrotoxicity in rats by Zeeni, N.

“…Aminoglycosides (AG) such as gentamicin are antimicrobial drugs widely used in the hospital setting due to their efficacy in the treatment of severe gram-negative bacterial infections. …”
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Renal Function Decline in Recipients and Donors of Kidney Grafts by Bahous, Sola Aoun

“…Results: Decline in renal function was estimated at 1-year post-transplantation and annually thereafter (median follow-up 8 years, range 3.6-18.3), as the mean of the annualized decrease in the glomerular filtration rate. …”
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