Striving for Excellence: An Analysis of Opportunities and Challenges in the English Language Curricula Reform in the UAE by Al-Shammari, Huda

“…The research is designed to explore how both theory and ideological classification can illuminate our understanding of the UAE English curriculum. …”
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The burden of unintentional drowning: global, regional and national estimates of mortality from the Global Burden of Disease 2017 Study by Richard Charles Franklin (9154052)

“…Unintentional drowning (International Classification of Diseases (ICD) 10 codes W65-74 and ICD9 E910) is one of the 30 mutually exclusive and collectively exhaustive causes of injury-related mortality in the Global Burden of Disease (GBD) study. …”

تعارض المرجحات: تأصيلا وتفريعا by Al-Fawzan, Mohammad Tareq Ali

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Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review by Hazrat Ali (421019)

“…The most commonly addressed task in these studies was the classification of lung cancer types, such as lung squamous cell carcinoma versus lung adenocarcinoma, and identifying benign versus malignant pulmonary nodules. …”

Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD by Aziz Mehmood Farooqi (20748788)

“…Researchers can use MIS to explore Hadith credibility including classification of Hadiths (Sahih=perfection in the Sanad/Dhaif=imperfection in the Sanad), and narrators (trustworthy/not). …”

The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review by Zainab Jan (17306614)

“…We identified different machine learning models used in the selected studies, including classification models (18, 55%), regression models (5, 16%), model-based clustering methods (2, 6%), natural language processing (1, 3%), clustering algorithms (1, 3%), and deep learning–based models (3, 9%). …”

Prevalence of newly detected diabetes in pregnancy in Qatar, using universal screening by Mohammed Bashir (5593550)

“…Newly detected T2DM carries a higher risk of poor pregnancy outcomes; stressing the importance of proper classification of cases of newly detected diabetes in pregnancy.…”

Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review by Arfan Ahmed (17541309)

“…Further work is needed to validate the ML approaches on clinical data from WDs and provide meaningful analytics that could serve as data gathering, monitoring, prediction, classification, and recommendation devices in the context of diabetes.…”

Predicting Stock Prices in Dubai Financial Market Using Neural Networks and the Polynomial Classifiers by Al-Salkhadi, Saeed Mohammed

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Chlorophyll-a concentrations in the Arabian Gulf waters of arid region: A case study from the northern coast of Qatar by Sankaran, Rajendran

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Traitement précoce des LCH irréductibles du nouveau-né by Assi, Chahine

“…Parmi elles, 8 étaient initialement bilatérales avec un côté réductible : – 3 LCHI bilatérales ; – type de LCH – hanches luxées irréductibles selon la classification de Couture et al. ou Tönnis 3 et 4 ; – l’examen clinique montre une rétraction marquée des adducteurs et une impossibilité de réduction de la luxation ; – l’échographie montre une hypertrophie du cartilage acétabulaire, voire convexe et une inversion du limbus. …”
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Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer by Andrea Remo (447375)

“…<h3>Background</h3><p dir="ltr">Inflammatory breast cancer (IBC) is the most rare and aggressive variant of breast cancer (BC); however, only a limited number of specific gene signatures with low generalization abilities are available and few reliable biomarkers are helpful to improve IBC classification into a molecularly distinct phenotype. …”

Impact of obesity on patients with ventilator-associated pneumonia: the paradox continues by El Labban, Mohamad

“…Further subclassification of the obesity group according to BMI is as follows: BMI 30-40 (151 (3.5%), BMI 40-50 (143 (3.3%), BMI above 50 (95 (2.2), and without BMI classification (108 (2.5%). The Mean age in both groups was around 58 years, 66% were females in the group with obesity compared to 40% in the control group. …”
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Disease-Associated α-Synuclein Aggregates as Biomarkers of Parkinson Disease Clinical Stage by Nour Majbour (3528548)

“…</p><h3>Discussion</h3><p dir="ltr">We showed that combining SAA and ELISA assays is a more promising diagnostic tool than SAA alone, providing information about the disease stage by correlating with clinical measures of disease severity.</p><h3>Classification of Evidence</h3><p dir="ltr">This study provides Class III evidence that CSF-seeded αSyn oligomers can accurately discriminate patients with PD and normal controls and CSF-seeded αSyn oligomers levels correlate with PD severity.…”

Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019 by Hmwe Hmwe Kyu (8674014)

“…We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–482.8, 483.0–483.9, 484.1–484.2, 484.6–484.7, and 487–489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4–B97.6, J09–J15.8, J16–J16.9, J20–J21.9, J91.0, P23.0–P23.4, and U04–U04.9. …”

What’s So Great About Home? by Marroum, Marianne

“…Physically scattered all over Beirut, they moved intellectually in different circles and became increasingly feminist in their orientation.4 Other critics, such as Mona Amyuni, reject Cooke’s classification of al-Shaykh as a Beirut Decentrist because none of her works were written while in Lebanon. …”
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Sentiment Analysis of the Emirati Dialect text using Ensemble Stacking Deep Learning Models by AL SHAMSI, ARWA AHMED

“…The study of thoughts, feelings, judgments, values, attitudes, and emotions regarding goods, services, organizations, persons, tasks, occasions, titles, and their attributes is known as sentiment analysis and it involves a polarity classification task for recognizing positive, negative, or neutral text to quantify what individuals believe using textual qualitative data. …”
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