Significance of Avicennia Marina in the Arabian Gulf Environment: A Review by Kaiprath Puthiyapurayil Haseeba (21392966)

Applications of bioconvection for tiny particles due to two concentric cylinders when role of Lorentz force is significant by Lei Zhang (38117)

Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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Predicting stability of classes in an object-oriented system by Azar, D.

“…Many metrics have been proposed to assess these software attributes and for this purpose, prediction models have been widely used. However, in almost all cases, these models were not efficient when used to predict the quality characteristics (stability or other) of new unseen software as their prediction accuracy decreases significantly. …”
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Photoactivatable RuII Complex Bearing 2,9‐Diphenyl‐1,10‐phenanthroline: Unusual Photochemistry and Significant Potency on Cisplatin‐Resistant Cell Lines by Mansour, Najwa

“…Complex 1 demonstrated only marginal activity in the dark; its cytotoxicity increased significantly upon photoactivation with a high phototoxicity index (PI = [IC50 dark]/[IC50 light]) ranging from 39.2‐fold in A549 to over 100‐fold in MDA‐MB‐231. …”
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Potential Medical Applications of Chitooligosaccharides by Sukumaran Anil (14158935)

“…COS can be produced through enzymatic conversions using chitinases, physical and chemical applications, or a combination of these strategies. COS is of significant interest for pharmacological and medical applications due to its increased water solubility and non-toxicity, with a wide range of bioactivities, including antibacterial, anti-inflammatory, anti-obesity, neuroprotective, anticancer, and antioxidant effects. …”

Predictive Power of Random Forests in Analyzing Risk Management in Islamic Banking by Ahmet Faruk Aysan (11902115)

Network Analysis and its Applications in Financial and Digital Assets by Almazloum, Ward

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Privacy-preserving artificial intelligence in healthcare: Techniques and applications by Nazish Khalid (17685063)

“…<p>There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. …”

Effectiveness of Positron Emission Tomography for Predicting Chemotherapy Response in Colorectal Cancer Liver Metastases by Glazer, Evan

“…When performed within 4 weeks of chemotherapy, PET had a negative predictive value of 13.3% and a positive predictive value of 94.3%. …”
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Augmented Reality and its Applications in Education: A Systematic Survey by Fatima Zulfiqar (17019108)

“…<p dir="ltr">The use of technology, especially mobile phones, has significantly increased over the past few decades and has become an essential element in our daily lives. …”

Epigenetic and breast cancer therapy: Promising diagnostic and therapeutic applications by Gulab Sher (12984698)

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

“…It is found that the results of linear regression prediction have been improved significantly after adding text mining to the experiments. …”
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Hepatitis serology predicts tumor and liver-disease characteristics but not prognosis after resection of hepatocellular carcinoma by Abdalla, Eddie

“…The presence of hepatitis did not significantly affect the survival rate, but hepatic fibrosis and vascular invasion predicted a decreased survival rate. …”
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Prediction of critical total drawdown in sand production from gas wells: Machine learning approach by Fahd Saeed Alakbari (10701871)

“…Although some models are available for CTD prediction, most of them are proven to lack accuracy or use commercial software. …”

An ensemble-based machine learning model for predicting type 2 diabetes and its effect on bone health by Belqes Alsadi (18695031)

“…We believe Dapagliflozin prescriptions in Qatar were associated with decreased Gamma Glutamyltransferase and Aspartate Aminotransferase enzyme levels, confirming prior research. …”

The use of multi-task learning in cybersecurity applications: a systematic literature review by Shimaa Ibrahim (22155739)

“…Despite government and corporate efforts, cybersecurity remains a significant concern. The application of multi-task learning (MTL) in cybersecurity is a promising solution, allowing security systems to simultaneously address various tasks and adapt in real-time to emerging threats. …”

Investigating the suitability of poly tetraarylphosphonium based anion exchange membranes for electrochemical applications by Muthumeenal Arunachalam (11450796)

“…<div><p>Anion exchange membranes (AEMs) are becoming increasingly common in electrochemical energy conversion and storage systems around the world (EES). …”

Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

“…<p dir="ltr">Just-in-time defect prediction (JITDP) research is increasingly focused on program changes instead of complete program modules within the context of continuous integration and continuous testing paradigm. …”

Monitoring the variation of soil quality with sewage sludge application rates in absence of rhizosphere effect by Rahma Inès, Zoghlami

“…The dose-dependent improvement of organic matter content was the most significant event that reflected sludge application rates, and consequently influenced other soil properties. …”
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