Predictive modelling in times of public health emergencies: patients’ non-transport decisions during the COVID-19 pandemic by Hassan Farhat (9000509)

AgroAId: A Mobile App System for Visual Classification of Plant Species and Diseases Using Deep Learning and TensorFlow Lite by Reda, Mariam

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Acute kidney injury requiring dialysis after endovascular intervention for acute deep venous thrombosis: A case report and literature review by Najlaa Essa A. H. Al‐Mannai (21841775)

“…<h3>Key Clinical Message</h3><p dir="ltr">Percutaneous precutaneous mechanical thrombectomy has been used for clot dissolution and removal in selected cases of iliofemoral deep vein thrombosis. Intravascular Hemolysis and hemoglobinuria caused by pharmachomechanical chather directed thrombolysis (PCDT) devices like the Angiojet is associated with an increased risk of acute kidney injury (AKI). …”

Addressing bias in the definition of SARS-CoV-2 reinfection: implications for underestimation by Hiam Chemaitelly (439114)

“…By setting the time window at 40 days, the estimated number of reinfections in the population increased from 84,565 to 88,384, compared to the 90-day time window. …”

Simulation study of a coincidence detection system for non-invasive determination of arterial blood time-activity curve measurements by Yassine Toufique (8252550)

“…<h3>Background</h3><p dir="ltr">Arterial sampling in PET studies for the purposes of kinetic modeling remains an invasive, time-intensive, and expensive procedure. Alternatives to derive the blood time-activity curve (BTAC) non-invasively are either reliant on large vessels in the field of view or are laborious to implement and analyze as well as being prone to many processing errors. …”

Comparative effectiveness of one versus two doses of COVID-19 vaccines in Qatar: Evidence of converging protection over time by Hiam Chemaitelly (439114)

Stochastic forecasting of COVID-19 daily new cases across countries with a novel hybrid time series model by Chakraborty, Tanujit

“…Soon after, the infected cases and mortality increased rapidly. The future of the pandemic’s progress was uncertain, and thus, predicting it became crucial for public health researchers. …”
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A novel sentiment analysis framework for monitoring the evolving public opinion in real-time: Case study on climate change by El Barachi, May

“…Sentiment analysis of social media posts has become increasingly prominent in recent years as a means of gaining insights into how members of the public perceive current affairs. …”
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A Narrative Review on Prevention and Early Intervention of Challenging Behaviors in Children with a Special Emphasis on COVID-19 Times by Sarah Musa (12269578)

“…<h3>Background</h3><p dir="ltr">COVID-19 and the measures stemming from efforts to control it have affected the psychosocial wellbeing of children and adolescents. The increasing trend of challenging behavior has exerted further pressure on parents and schools. …”

Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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Exploring Semi-Supervised Learning Algorithms for Camera Trap Images by Sajun, Ali Reza

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A Novel Approach to Monitor Head Movement Inside an MR Scanner Using Voltages Induced in Coils by Time-Varying Gradients by Enamul H. Bhuiyan (17983816)

The Impact of Voluntary Recall on the Trust of Loyal and First-Time Consumers in a High Awareness Brand After a Functional Transgression by Valeria L M A Freundt (17541786)

“…When a transgression is followed by a passive strategy in which the transgressor company is aware of a malfunction and decides not to take any action to remediate the situation, loyal consumers have higher integrity and benevolence-based trust perception than first-time consumers. As voluntary recall takes place, loyal and first-time consumers’ perceptions of integrity and benevolence increase, and first-time consumers reach the same levels as loyal consumers, which suggests voluntary product recall is an effective trust recovery strategy for a high awareness brand.…”

Health in times of uncertainty in the eastern Mediterranean region, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013 by Mokdad, Ali H

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Time-Driven Activity-Based Costing Implementation in the Automotive After-Sales Service Sector Using the Six Sigma DMAIC Approach by ALI, ALI SHERIF ALI HOSSNEY

“…This research explores how Time-Driven Activity-Based Costing (TDABC) is applied in the automotive after-sales services operating within a service centre located in Dubai, UAE. …”
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The effect of online time on students’ academic performance: A study of cycle 1 and cycle 2 students in Abu Dhabi, UAE government schools by Sharabassy, Nermin Hamed

“…This growth is evident in the great increase of Internet use and the technological devices that have been invented and commonly used in a very short time. …”
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Hydrodynamic Modelling of Sharjah lagoons (UAE) under Climate Changes by Singer, Mohamed Nashaat

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Correction: The Impact of Voluntary Recall on the Trust of Loyal and First-Time Consumers in a High Awareness Brand After a Functional Transgression by Valeria L M A Freundt (17541786)

“…When a transgression is followed by a passive strategy in which the transgressor company is aware of a malfunction and decides not to take any action to remediate the situation, loyal consumers have higher integrity and benevolence-based trust perception than first-time consumers. As voluntary recall takes place, loyal and first-time consumers’ perceptions of integrity and benevolence increase, and first-time consumers reach the same levels as loyal consumers, which suggests voluntary product recall is an effective trust recovery strategy for a high awareness brand.…”

Predicting COVID-19 in the UAE Using Machine Learning by Sankalpa, Donthi

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Enhancing sustainability through resource efficiency in beef production systems using a sliding time window-based approach and frame scores by Muhammad Ismail (3176079)

“…Collectively, this increases the need to enhance sustainability in the beef sector. …”