3D Oleophilic Sorbent Films Based on Recycled Low-Density Polyethylene by Junaid Saleem (14670322)

“…This study valorizes LDPE waste by transforming it into 3D oleophilic swellable thin films through a process involving dissolution, phase separation, and extraction. …”

Quantification of Serum Exosome Biomarkers Using 3D Nanoporous Gold and Spectrophotometry by Amera Al Mannai (16078459)

Strategies to manage hepatitis C virus infection disease burden – volume 3 by Mokhbat, J. E.

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

“…Besides factors such as the increased cost of clinical trials and increases in the requirements and the complexity of the regulatory processes, there is also a gap between the currently existing pre-clinical screening methods and the clinical studies in humans. …”

Enhanced photophysics from self-assembled cyclometalated Ir (III) complexes in water by McGoorty, Michelle M.

“…Two water-soluble anionic cyclometalated Ir(III) complexes, Ir(ppy)2BPS [1] and Ir(F-mppy)2BPS [2] have been synthesized and display clear evidence of self-assembly in water. …”
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Con-Detect: Detecting Adversarially Perturbed Natural Language Inputs to Deep Classifiers Through Holistic Analysis by Hassan Ali (3348749)

“…<p>Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”

Con-Detect: Detecting adversarially perturbed natural language inputs to deep classifiers through holistic analysis by Hassan, Ali

“…Deep Learning (DL) algorithms have shown wonders in many Natural Language Processing (NLP) tasks such as language-to-language translation, spam filtering, fake-news detection, and comprehension understanding. …”
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Advanced Technology in Agriculture Industry by Implementing Image Annotation Technique and Deep Learning Approach: A Review by Normaisharah Mamat (19517623)

“…For complicated and ambiguous situations, deep learning technology provides accurate predictions. …”

Effect of La3+ substitution for Sr2+ on thephase formation, structure and properties of (Tl0.5Pb0.5)Sr2Ca2Cu3Oy compounds by Hamdan, N.M.

“…Nine samples with nominal composition (Tl0.5Pb0.5)Sr2-xLax Ca2Cu3Oy were prepared, with x varies from 0 to 2. Magnetization measurements as a function of temperature showed that the transition temperature increased with increasing La content. …”
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Deep learning-based cross-device standardization of surface-enhanced Raman spectroscopy for enhanced bacterial recognition by Sakib Mahmud (22652357)

“…The combined framework requires only 6.6 million parameters, a compact 9 MB footprint, and a 3.27 ms inference time, making it well-suited for portable deployment. …”

Transfer Learning and Sentiment Analysis of Lebanese Dialect Data using a Multilingual Deep Learning Approach by Chehade, Mira

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Hand-Crafted Features With A Simple Deep Learning Architecture For Sensor-Based Human Activity Recognition by Albadawi, Yaman

“…With the growth in the wearable device market, wearable sensor-based human activity recognition systems have been gaining increasing interest in research because of their rising demands in many areas. …”
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From time-series to 2D images for building occupancy prediction using deep transfer learning by Aya Nabil Sayed (17317006)

“…Moreover, machine learning (ML) and deep learning (DL) techniques are utilized to classify occupancy patterns. …”

The Impact of Arabic Part of Speech Tagging on Sentiment Analysis: A New Corpus and Deep Learning Approach by Munem Nerabie, Abdul

“…Furthermore, our proposed corpus was used to train a custom Long Short-Term Memory deep learning model and showed excellent performance in terms of sentiment classification accuracy and F1-score. …”
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Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring by Zina Chkirbene (16869987)

“…Addressing these challenges, this paper introduces the Deep Reinforcement Learning for Live Video Transmission (DRL-LVT) framework. …”

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …”

Percutaneous coronary intervention can be safely performed with left ventricular thrombus without increasing stroke risk: A 5-year retrospective review using real-world data by Mohanad Shehadeh (17860691)

“…<h3>Introduction</h3><p dir="ltr">Left ventricular thrombus (LVT) increases the risk of ischemic stroke. …”

The effect of soft background music, Mozart music, on the three levels of students' engagement. (c2016) by Al Bizri, Dima Bashir

“…Engagement, in its three levels, cognitive, behavioral, and affective, is vital in the learning process. …”
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The Impact of Using Information and Communication Technology in the Attitudes and Achievement of Grade Three Students in Mathematics and Science by Siyam, Nur Yacoub Mahmoud

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Cdc42 is required for EGF-stimulated protrusion and motility in MTLn3 carcinoma cells by El-Sibai, Mirvat

“…Here, we show that Cdc42 is crucial for epidermal growth factor (EGF)- stimulated protrusion in MTLn3 carcinoma cells. When stimulated with EGF, carcinoma cells showed a rapid increase in activated Cdc42 that is primarily localized to the protruding edge of the cells. siRNA-mediated knockdown of Cdc42 expression caused a decrease in EGFstimulated protrusion and reduced cell motility in timelapse studies. …”
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