Colon cancer classification using microarray data by Tariq Khan, Saima

“…In treating cancer time is of the essence and early detection can dramatically increase the chances of survival. Imaging techniques, which are the prevalent method of detection and diagnosis, are only useful once the cancerous growth has become visible.However, if techniques that detect cancerous processes at a genetic level are utilized then the cancerous tissues could be identified, and the disease diagnosed much earlier, thus giving a far better prognosis.Therefore, the aim of this thesis is to evaluate the performance of a variety of different classification methods with a particular dataset containing genetic samples of both normal and cancerous biopsies of the colon tissue.A classifier will be recommended which is able to learn the patterns within the microarray data that best determines the classification of the samples.…”
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Effects of selenium in comparison to exendin-4 on the expression of GLP-1R, IRS-1 and preproinsulin in the pancreas of diabetic rats by Rizk, Sandra

“…It binds and activates GLP-1R with greater potency than GLP-1 and is used in the treatment of diabetes mellitus. …”
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Epidemiological and clinical characteristics of fall-related injuries: a retrospective study by Ahammed Mekkodathil (4578838)

“…Although the rate of fall-related injuries decreased over the years, the average number of patients per year remained high accounting for 32% of the hospitalized patients with moderate to severe injuries. …”

Trends in criminal convictions in Japan for vehicle collisions where one driver suffers from an epileptic seizure by Mineko Baba (19774386)

“…To reduce collisions to an even greater degree, this type of collision should be prevented. …”

Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security by Adnan Qayyum (16875936)

“…<p dir="ltr">With the advances in machine learning (ML) and deep learning (DL) techniques, and the potency of cloud computing in offering services efficiently and cost-effectively, Machine Learning as a Service (MLaaS) cloud platforms have become popular. …”

Optimization of the Consolidation Parameters for Enhanced Thermoelectric Properties of Gr-Bi₂Te_2.55Se_0.45 Nanocomposites by Farah El-Makaty (19198006)

“…<p dir="ltr">Hot pressing represents a promising consolidation technique for ball-milled bismuth telluride alloys, yet deep investigations are needed to understand its effect on the thermoelectric properties. …”

RETRACTED_Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN by Irfan Ali Kandhro (17541876)

“…Recently published studies have found that deep learning is becoming increasingly popular in the field of image categorization. …”

Stress Management Using Physiological Signals and Audio Stimulation by Katmah, Rateb Majd

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Vitamin D Association With Macrophage-Derived Cytokines in Polycystic Ovary Syndrome: An Enhanced Risk of COVID-19 Infection? by Abu Saleh Md Moin (6189512)

“…Vitamin D deficiency was associated with decreased CD80 and IFN-γ in PCOS and IL-12 in both groups (p<0.05). …”

Effects of COVID-19 on Autism Spectrum Disorder in Qatar by Fouad A. Alshaban (17281108)

“…Parents also reported decreased access to family and social support networks, as well as decreased quality of clinical and community support. …”

International Mindedness In A Pluralistic Society With No Social Cohesion by Bilal, Joanna

“…Due to the globalized nature of today’s society, international mindedness has become increasingly important in today’s world. Schools all over the globe strive to incorporate international mindedness into their curricula as it helps to create a more inclusive and tolerant learning environment for students of all backgrounds. …”
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FiLM-SimVP: Scalable Uncertainty Quantification in Spatiotemporal Forecasting by Shehel Yoosuf (23073535)

“…Quantile regression has been proposed as a computationally efficient and assumption-free approach for uncertainty quantification by generating prediction intervals. Yet, existing deep learning based quantile regression methods struggle to scale efficiently with large datasets. …”

A Comparative Study of Contemporary Learning Paradigms in Bug Report Priority Detection by Eyüp Halit Yilmaz (21400700)

“…<p dir="ltr">The increasing complexity of software development demands efficient automated bug report priority classification, and recent advancements in deep learning hold promise. …”

Tamp-X: Attacking explainable natural language classifiers through tampered activations by Hassan Ali (3348749)

“…<p>While the technique of Deep Neural Networks (DNNs) has been instrumental in achieving state-of-the-art results for various Natural Language Processing (NLP) tasks, recent works have shown that the decisions made by DNNs cannot always be trusted. …”

Cadmium Intake, Dietary Patterns and Hyperuricemia Among Adults in China by Zumin Shi (287671)

“…No association between the modern dietary pattern (high intake of fruit, soymilk, egg, milk and deep fried products) and HU was found. In conclusion, traditional southern dietary pattern and cadmium intake are positively associated with hyperuricemia among Chinese adults.…”

Bridging Innovation and Security: Advancing Cyber-Threat Detection in Sustainable Smart Infrastructure by Duaa Shoukat (20961200)

“…In response to these challenges, this paper proposes a novel approach utilizing Deep Learning (DL) models for multi-class threat detection in SI environments. …”

Microalgae potential to protect from heavy metals-induced carcinogenicity by Hadjira Hamai-Amara (17910608)

“…This review discusses the mechanisms implicated in heavy metal carcinogenicity. In addition, a deep understanding of microalgae's mitigating roles and strategies against heavy metal carcinogenicity are reviewed.…”

Learning Based Spectrum Sensing in OFDM Cognitive Radios by Muzaffar, Muhammad Umair

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EVALUATION OF MATERIAL NONLINEARITY IN FATIGUED SAMPLES USING AN IMPROVED LAMB-WAVE NONLINEAR PARAMETER by A. Masurkar, Faeez

“…The material nonlinearity is also evaluated using a Physics based nonlinear parameter that depends on the second and third order nonlinear elastic constants and is independent of the propagation distance thereby giving the global material nonlinearity. It is found that for a pristine state, the peak of amplitude-based parameter equals the physics based one and for a fatigued state, the amplitude-based parameter keeps increasing with an increase in fatigue damage. …”
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Clinical characteristics and outcome of children with acute cryptorchid testicular torsion: A single-center, retrospective case series study by Zlatan Zvizdic (9212371)

“…Preoperative color Doppler ultrasonography revealed absent or decreased testicular blood flow in the affected testes in 7/8 of patients. …”