Secrecy Performance of a RIS-Assisted Wireless Network: A Comprehensive Analysis Under Outdated CSI حسب Tasneem Alshamaseen (22392382)

"…Moreover, increasing the number of REs can mitigate CSI aging effects where an SOP level of 3×10⁻⁵ can be achieved with 140 REs at <i>ρ</i>=0.9 in the absence of a transmitter-receiver direct link. …"

Global time differences in road traffic injuries among children and adolescents between and 1990 and 2013: Regional and economical perspectives from global burden of diseases study حسب Uzma Rahim Khan (19794408)

"…<p dir="ltr">In 2010, road traffic injuries (RTIs) are the leading cause of deaths in those aged 1-19 years globally and half of those victims are vulnerable road users (VRUs), defined as pedestrians, bicyclists and motorcyclists. …"

Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Diseas... حسب Parkes J Kendrick (9714851)

"…Among the 12 highest prevalence countries (Bangladesh, Bhutan, Cambodia, India, Madagascar, Marshall Islands, Myanmar, Nepal, Pakistan, Palau, Sri Lanka, and Yemen), only Yemen had a significant decrease in the prevalence of chewing tobacco use, which was among males between 1990 and 2019 (−0·94% [–1·72 to –0·14]), compared with nine of 12 countries that had significant decreases in the prevalence of smoking tobacco. …"

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA حسب Muhammad Shehab (16904880)

Anabolic steroids-induced delirium حسب Mohamed Adil Shah Khoodoruth (14589828)

"…Laboratory results showed a decreased plasma testosterone level of 9.59 nmol/l (10.4–37.4 nmol/l). …"

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

"…Due to its ability to use historical data to learn and identify patterns for making future decisions with minimal user intervention, ML has been utilized. ML models used in this paper are (1) Decision Tree (DT), (2) Random Forest (RF), (3) Support Vector Machine (SVM), (4) Naïve Bayes (NB), (5) K-Nearest Neighbors (KNN), (6) Deep Neural Networks (DNN), and (7) Long Short-Term Memory (LSTM). …"