Deletion of <i>RFX6</i> impairs iPSC-derived islet organoid development and survival, with no impact on PDX1⁺/NKX6.1⁺ progenitors by Noura Aldous (15429873)

“…Upon differentiating iPSCs lacking RFX6 into pancreatic islets, a significant decrease in PDX1 expression at the PF stage was observed, although this did not affect PPs co-expressing PDX1 and NKX6.1. …”

Using Data Mining and Text Mining Techniques in Predicting the Price of Real Estate Properties in Dubai by Khashan, Deena Younis Abo

“…Before starting the experiments, the dataset is collected from different online real estate property classifieds that offer villas and apartments either for renting or selling in Dubai, UAE. …”
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Investigation of Groundwater Depletion in the State of Qatar and Its Implication to Energy Water and Food Nexus by Hazrat Bilal (7367477)

“…Long-term temperature data indicates that the annual mean temperature increased significantly by 1.02 °C between 1987 and 2016, while total rainfall exhibited a slight decreasing trend. …”

Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

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Deep learning based multimodal urban air quality prediction and traffic analytics by Saad Hameed (6488738)

“…<p dir="ltr">Urban activities, particularly vehicle traffic, are contributing significantly to environmental pollution with detrimental effects on public health. …”

Zero-shot motor health monitoring by blind domain transition by Serkan Kiranyaz (3762058)

“…To validate the proposed approach, a new benchmark dataset is created using two different motors working under different conditions and sensor locations. …”

Estimating the elastic constants of orthotropic composites using guided waves and an inverse problem of property estimation by Masurkar, Faeez

“…Then, an inverse machine learning model is trained using a TS dataset pertaining to different elastic constants generated using the simulations. …”
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Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth, Kunhoth

“…Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”
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Exploration and analysis of On-Surface and In-Air handwriting attributes to improve dysgraphia disorder diagnosis in children based on machine learning methods by Jayakanth Kunhoth (14158908)

“…Moreover, a deep analysis of different characteristics (kinematic, dynamic, temporal, spatial, etc.) of online handwriting is conducted to examine their significance in distinguishing normal and abnormal handwritten data. …”

The 3N Model and collective support for extreme measures to combat COVID-19 by Mirra Noor Milla (8522256)

“…Drawing on data from the multinational dataset (N = 62,983) across 114 countries, we tested the role of two types of needs/losses: collective loss and personal loss. …”

Distinct genomic features across cytolytic subgroups in skin melanoma by Constantinos Roufas (4871131)

“…SBS7a/b, SBS5 and SBS1 were the most prevalent mutational signatures across both cytolytic subgroups, but SBS1 differed significantly between them. SBS7a/b was mutually exclusive with SBS5 and SBS1 in both CYT subgroups. …”

Dysregulated Metabolic Pathways in Subjects with Obesity and Metabolic Syndrome by Fayaz Ahmad Mir (11828354)

“…Results: A total of 83 metabolites, mostly lipids, were significantly different (p < 0.05) between the two groups. …”

Automated quantification of penile curvature using artificial intelligence by Tariq O. Abbas (11247771)

“…</p><h3>Materials and methods</h3><p dir="ltr">Nine 3D-printed penile models with differing curvature angles (ranging from 18 to 88°) were used to compile a 900-image dataset featuring multiple camera positions, inclination angles, and background/lighting conditions. …”

Knowledge and Anxiety about COVID-19 in the State of Qatar, and the Middle East and North Africa Region—A Cross Sectional Study by Sathyanarayanan Doraiswamy (4091776)

“…Knowledge about COVID-19 was significantly different across the two survey populations, with a much higher proportion of healthcare workers possessing better COVID-19 knowledge than the general public (62.9% vs. 30.0%, p < 0.0001). …”

Implementation of Deep Learning for Measurement of Penile Curvature on Real 2D Intraoperative Images by Sriman Bidhan Baray (15302398)

“…</p><h3 dir="ltr">Materials and Methods</h3><p dir="ltr">A dataset of 421 images was assembled and annotated by four human experts. …”