Effects of COVID-19 on Autism Spectrum Disorder in Qatar by Fouad A. Alshaban (17281108)

“…Parents also reported decreased access to family and social support networks, as well as decreased quality of clinical and community support. …”

Optoelectronic properties of highly porous silver oxide thin film by Ahmad Al-Sarraj (17151007)

“…The Ag₂O phase of silver oxide appears after 300 s of oxidation under the same conditions, while the optical transparency of the thin film decreases as plasma etching time increases. The sheet resistance of the final film is influenced by the oxidation time and the plasma application periodicity.…”

International Mindedness In A Pluralistic Society With No Social Cohesion by Bilal, Joanna

“…Due to the globalized nature of today’s society, international mindedness has become increasingly important in today’s world. Schools all over the globe strive to incorporate international mindedness into their curricula as it helps to create a more inclusive and tolerant learning environment for students of all backgrounds. …”
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FiLM-SimVP: Scalable Uncertainty Quantification in Spatiotemporal Forecasting by Shehel Yoosuf (23073535)

“…Quantile regression has been proposed as a computationally efficient and assumption-free approach for uncertainty quantification by generating prediction intervals. Yet, existing deep learning based quantile regression methods struggle to scale efficiently with large datasets. …”

A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection by Eyüp Halit Yilmaz (21400700)

“…<p dir="ltr">The increasing complexity of software development demands efficient automated bug report priority classification, and recent advancements in deep learning hold promise. …”

Tamp-X: Attacking explainable natural language classifiers through tampered activations by Hassan Ali (3348749)

“…<p>While the technique of Deep Neural Networks (DNNs) has been instrumental in achieving state-of-the-art results for various Natural Language Processing (NLP) tasks, recent works have shown that the decisions made by DNNs cannot always be trusted. …”

Cadmium Intake, Dietary Patterns and Hyperuricemia Among Adults in China by Zumin Shi (287671)

“…No association between the modern dietary pattern (high intake of fruit, soymilk, egg, milk and deep fried products) and HU was found. In conclusion, traditional southern dietary pattern and cadmium intake are positively associated with hyperuricemia among Chinese adults.…”

Bridging Innovation and Security: Advancing Cyber-Threat Detection in Sustainable Smart Infrastructure by Duaa Shoukat (20961200)

“…In response to these challenges, this paper proposes a novel approach utilizing Deep Learning (DL) models for multi-class threat detection in SI environments. …”

Microalgae potential to protect from heavy metals-induced carcinogenicity by Hadjira Hamai-Amara (17910608)

“…This review discusses the mechanisms implicated in heavy metal carcinogenicity. In addition, a deep understanding of microalgae's mitigating roles and strategies against heavy metal carcinogenicity are reviewed.…”

Learning Based Spectrum Sensing in OFDM Cognitive Radios by Muzaffar, Muhammad Umair

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Arabic Text Classification Using Modified Artificial Bee Colony Algorithm for Sentiment Analysis: The Case of Jordanian Dialect by Habeeb, Abdallah

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

“…Our work focuses on cutting down postprocessing times as we strive to reach higher levels of productivity. …”

A potential therapeutic agent for sickle cell anaemia by Nature Research (16552612)

“…</p><p>Patients with sickle cell anaemia produce 10 to 30 times more of a natural by-product of oxygen metabolism called reactive oxygen species (ROS) than healthy patients. …”

The protective role of lidocaine in surgeries involving trigeminal nerve manipulation: a meta-analysis of trigeminocardiac reflex prevention by Almonzer Al-Qiami (22393303)

“…This leads to a rapid increase in parasympathetic activity, resulting in a decrease in heart rate (HR) and blood pressure, which can potentially lead to bradycardia, and cardiac arrest, with a prevalence of 14.5% during neurointerventional procedures (8). …”

A new perspective on cardiovascular drift during prolonged exercise by Amine Souissi (9931616)

“…<p dir="ltr">Prolonged exercise induces cardiovascular drift, which is characterized by decreasing mean arterial pressure (MAP), stroke volume and heart rate increase. …”

COVID-19 biomarkers for severity mapped to polycystic ovary syndrome by Abu Saleh Md Moin (6189512)

“…These protein panels target biological processes involved in vessel damage, platelet degranulation, the coagulation cascade and the acute phase response [1], with greater protein changes dependent on the COVID-19 severity. …”

Machine Learning Models for Scheduling On-Demand Fog Placement and Optimizing Container Deployment by Farhat, Peter

“…However, due to the huge increase in the number of requests coming from end devices including IoT users, fog deployment and container placement must be scheduled to serve locations with high service requesting profiles while decreasing the cloud processing load. In this context, we first propose a fog placement model that allows to produce an adequate scheduling decision by using a hybrid technique combining time series forecasting and reinforcement learning. …”
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Elevated heparin-induced antibodies are more common in diabetic patients with vascular disease by Naoum, Joseph J.

“…Hypercoagulable disorders can lead to deep vein thrombosis (DVT), arterial thrombosis or embolization, and early or recurrent bypass graft failure. …”
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A 5-year trend in the use of sodium-glucose co-transporter 2 inhibitors and other oral antidiabetic drugs in a Middle Eastern country by Nancy Zaghloul (14147865)

“…The trend among SGLT2is suggests greater preference for empagliflozin over dapagliflozin.…”

An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models by K. Mukilan (22224793)

“…Conventional construction models typically optimize only a single objective, such as time, cost, or delay, which may not effectively enhance overall performance. …”