Novel paclitaxel formulations solubilized by parenteral nutrition nanoemulsions for application against glioma cell lines by Najlah, Mohammad

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The role of NF-κB and AhR transcription factors in lead-induced lung toxicity in human lung cancer A549 cells by Ibraheem M. Attafi (14151735)

Machine learning in crime prediction by Karabo Jenga (17788496)

“…<div><p>Predicting crimes before they occur can save lives and losses of property. With the help of machine learning, many researchers have studied predicting crimes extensively. …”

Influence of temperature on tire-pavement noise in hot climates: Qatar case by Okan, Sirin

“…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”
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Sanguinarine Induces Apoptosis Pathway in Multiple Myeloma Cell Lines via Inhibition of the JaK2/STAT3 Signaling by Sabah Akhtar (5809925)

“…In this study, we aimed to investigate the potential anti-proliferative and pro-apoptotic activities of SNG in a panel of MM cell lines (U266, IM9, MM1S, and RPMI-8226). SNG treatment of MM cells resulted in a dose-dependent decrease in cell viability through mitochondrial membrane potential loss and activation of caspase 3, 9, and cleavage of PARP. …”

The Effect of Number of Corrugation on Crashworthiness of Aluminum Corrugated Tube under Lateral Loading by Hozhabr Mozafari (18891892)

“…The results show that tubes with corrugations have a higher mean crushing force which is directly proportional to the number of corrugations. …”

Influence of temperature on tire-pavement noise in hot climates: Qatar case by Okan Sirin (14603304)

“…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”

The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu... by Wesal Habbab (17346961)

“…In this study we recorded maximum increase in total PP2A at 3 µM sodium selenate in a neuron cell line. In conjunction with these data, whole-cell electrophysiological studies revealed that this concentration had maximum effect on membrane potentials, conductance and currents. …”

Machine Learning and Carbonate Reservoirs : A Production Data Perspective on Permeability Modelling by Mohamad Faysal Baalbaki (21547373)

“…It was noted that in cases where permeability increases from one well to another, the production data showed a decrease. Removing these producers from the training dataset led to an 10% decrease in ANN performance, highlighting their importance in capturing the non-linear relationship between permeability and production data.…”

Prediction of critical total drawdown in sand production from gas wells: Machine learning approach by Fahd Saeed Alakbari (10701871)

“…The RSM correlation decreased the average absolute percent relative error (AAPRE) by 12.7% compared to all published correlations' AAPRE of 22.6%–30.4%. …”

Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

“…In this paper, different machine learning (ML) approaches are compared for the coordination of EVs charging. …”

Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli (20748758)

“…The combined feature reduction techniques named as principal component analysis and linear discriminant analysis, have been applied to generate prominent features and decrease the feature vector dimension. Lastly, a newly improved learning algorithm encompasses a modified pelican optimization algorithm (MOD-POA) and an extreme learning machine (ELM) for classification tasks. …”

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

“…</p><h3>Methods</h3><p dir="ltr">In this study, we employed machine learning (ML) based case-control study on a diabetic cohort size of 1000 participants form Qatar Biobank to predict diabetes using clinical and bone health indicators from Dual Energy X-ray Absorptiometry (DXA) machines. …”

Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

“…More specifically, we present a pipeline to develop human-centric embedded machine learning (HC-EML) applications leveraging a generic human-centric AI (HCAI) framework. …”

Comparative Study on Beneficial Effects of Hydroxytyrosol- and Oleuropein-Rich Olive Leaf Extracts on High-Fat Diet-Induced Lipid Metabolism Disturbance and Liver Injury in Rats by Ines Fki (14571855)

Enhancing Security and Performance in Live VM Migration: A Machine Learning‐Driven Framework With Selective Encryption for Enhanced Security and Performance in Cloud Computing Envi... by Raseena M. Haris (17773470)

“…<p dir="ltr">Live virtual machine (LVM) migration is pivotal in cloud computing for its ability to seamlessly transfer virtual machines (VMs) between physical hosts, optimise resource utilisation, and enable uninterrupted service. …”

Towards Industry 4.0 and Sustainable Manufacturing Applying Environmentally Friendly Machining of a Precipitation Hardened Stainless Steel Using Hot Turning Process by Mohammadjafar Hadad (17541345)

“…The high hardness of AISI630, along with the low thermal conductivity, has made it one of the most difficult-to-cut materials, and consequently, its machining is associated with high tool wear and poor workpiece surface quality. …”

Small molecule inhibitors of α-synuclein oligomers identified by targeting early dopamine-mediated motor impairment in C. elegans by Kevin S. Chen (9201767)

Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML by Dharmendra Kumar Singh Singh (19517710)

“…This approach is by and large used to decrease the dimensionality of the information alongside its feature space. …”

Unaligned inductance calculation using flux tube approach for rotor conducting screen‐based SRM by Aly A. Abdel‐Aziz (20375247)

“…The effective unaligned inductance decreases, which increases the conversion area allowing the machine to develop more power. …”