A comprehensive review on harvesting of microalgae using Polyacrylamide-Based Flocculants: Potentials and challenges by Shifa M.R. Shaikh (17128882)

“…This paper delivers an up-to-date progress in the harvesting of microalgae suspensions using various polyacrylamide flocculants. …”

W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting by Sasal, Lena

“…We present a novel framework for univariate time series representation learning based on the wavelet-based transformer encoder architecture and call it W-Transformer. …”
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Reflective Teaching: Impact, Supports, and Barriers from UAE-Based ESL Teachers' Perspectives by Sinno, Cherine

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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... by Mohamed, AlShuweihi

“…This research motivated by the unprecedented increase in diabetes and specifically Type 2 Diabetes Miletus (T2DM), proposes two significant contributions. The first is a comprehensive ML framework for the construction of diagnostic binary classification high accuracy models to predict T2DM in the United Arab Emirates based on STEPS style National Health Survey. …”
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VEGAWES: variational segmentation on whole exome sequencing for copy number detection by Samreen Anjum (19651882)

“…<p dir="ltr">Copy number variations are important in the detection and progression of significant tumors and diseases. Recently, Whole Exome Sequencing is gaining popularity with copy number variations detection due to low cost and better efficiency. …”

Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

Developments in Chemical Treatments, Manufacturing Techniques and Potential Applications of Natural-Fibers-Based Biodegradable Composites by Muhammad Yasir Khalid (17052429)

“…In the view of the progressive literature reported in the field, this work aims to present the significance of natural fibers, their composites, and the main factors influencing these materials for various applications (automotive industry, for instance). …”

The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer by Saidul Kabir (15302407)

“…<p>Introduction HER-2/neu is a protein present on the surface of specific cancer cells and has been linked to the development and progression of certain cancer types. It is present in 15 to 20% of breast cancers and is clinically significant due to the availability of multiple anti-Her2 treatment options. …”

The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer by Saidul, Kabir

“…IntroductionHER-2/neu is a protein present on the surface of specific cancer cells and has been linked to the development and progression of certain cancer types. It is present in 15 to 20% of breast cancers and is clinically significant due to the availability of multiple anti-Her2 treatment options. …”
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An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

“…We observed that bone area, bone mineral content, and bone mineral density were slightly lower in the Diabetes group across almost all body parts, but the difference against the control group was not statistically significant except in T12, troch and trunk area. No significant negative impact of diabetes progression on bone health was observed over a period of 5-15 yrs in the cohort.…”

Preparing foundation-year students for medical studies in a problem-based learning environment: Students׳ perceptions by Xiangyun, Du

“…Paired t-tests showed significant improvements (p<.001) for each of the 4 factors. …”
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Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives by Yassine Himeur (14158821)

“…Following, insights about current research trends are discussed to widen the applications and effectiveness of the anomaly detection technology before deriving future directions attracting significant attention. This article serves as a comprehensive reference to understand the current technological progress in anomaly detection of energy consumption based on artificial intelligence.…”

Beware of covert enemies: Candida orthopsilosis malignant otitis externa with base of the skull osteomyelitis, a case report and review of literature by Junais Koleri (17280586)

“…The patient was treated presumptively with a prolonged course of antibiotics without clinical improvement, coupled with progression of radiological findings and significant disease extension. …”

Trends in Necrotizing Fasciitis‐Associated Mortality in the United States 2003–2020: A CDC WONDER Database Population‐Based Study by Saad Khan (296295)

“…</p><h3>Conclusions</h3><p dir="ltr">NF‐related mortality has significantly risen in the United States since 2014, with distinct disparities based on sex, race, and geographic region. …”

Association of dyslipidemia, diabetes and metabolic syndrome with serum ferritin levels: a middle eastern population-based cross-sectional study by Neyla S. Al Akl (15189997)

Investigations on Entrepreneurship Needs, Challenges, and Models for Countries in Transition to Sustainable Development from Resource-Based Economy—Qatar as a Case by Mohammad I. Al-Housani (19170967)

“…This study focuses on the case of Qatar, considering its current policies, mechanisms, and institutes, and how they are working together to help diversify the economy and ultimately transition from its current resource-based economy. It begins with a comprehensive review of the literature, including a discussion of the significance of economic diversification globally and examining the role of government and other actors in developing entrepreneurship and the private sector. …”

Could Petrol Stations Play a Key Role in Transportation Electrification? A GIS-Based Coverage Maximization of Fast EV Chargers in Urban Environment by Safak Bayram (16925975)

“…More specifically, the location problem is modelled as a maximum coverage location problem (MCLP) and solved using a geographic information system (GIS) based platform. The spatial optimization problem is solved using a linear-programming relaxation based MCLP algorithm developed in Python. …”

Evaluating comparative effectiveness of pembrolizumab-based therapy versus chemotherapy in treatment of gastric carcinoma: a systematic review and meta-analysis of randomized contr... by Haleema Mansoor (22457680)

“…Traditional chemotherapy, while standard, often results in significant side effects and limited efficacy. The objective of this meta-analysis and systemic review is to ascertain if pembrolizumab-based therapies for advanced gastric cancer are more effective and safer than standard chemotherapy. …”

Performance Evaluation of a New Fluorescent-Based Lateral Flow Immunoassay for Quantification of Hemoglobin A1c (HBA1c) in Diabetic Patients by Nadin Younes (4863280)

“…<h3>Background</h3><p dir="ltr">Rapid hemoglobin A1C (HbA1c) level monitoring is essential in slowing the progression of diabetes. This need becomes challenging in low resources countries where the social burden of the disease is overwhelming. …”

A Survey of Indoor Localization Systems for Multi-Floor Environments by Sherif Mostafa (13548916)