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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Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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Qualitatively Examining Self-Regulation and Affect of First-Year Writing Students by Payne, Erica Lee

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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.…”

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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GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning by Semira, Mohammed

“…Road traffic crashes pose a significant challenge worldwide, necessitating increased efforts to reduce them and promote sustainable transport systems. …”
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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. …”

Impact of timing and severity of COVID-19 infection in pregnancy on intrauterine fetal growth- a registry-based study from Doha-Qatar by Fathima Minisha (16475100)

Students Plugged: The Psychological Impact of Smart Devices Screen Time Exposure on Cognitive Concentration Skills in Primary School Students in Abu Dhabi by Shorouk Sobh

“…Increased engagement with entertainment and gaming content was linked to lower cognitive scores; in other words, screen time correlated with diminished cognitive concentration. …”
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In-Person and Online Learning in Communicative Language Teaching Classes: Interaction Levels and Parents’ Perspectives by Jbarah, Lara

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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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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. …”

Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Dir... by Naveed Ahmed (2433958)

“…Much work has been done on NIDS but there are still improvements needed in reducing false alarms and increasing threat detection accuracy. Recently advanced approaches such as deep learning (DL) and machine learning (ML) have been implemented in SDN-based NIDS to overcome the security issues within a network. …”