Microalgae potential to protect from heavy metals-induced carcinogenicity by Hadjira, Hamai-Amara

“…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.…”
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Effect of StarD13 on colorectal cancer proliferation, motility and invasion by Nasrallah, Anita

“…Colon cancer is a cancer of the epithelial cells lining the colon. It is mainly divided into different stages according to the invasiveness and metastatic ability of the tumor. …”
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Clinical correlates of white-matter abnormalities on head magnetic resonance imaging by Dimassi, Hani

“…Children with white-matter abnormalities and increased tone had a greater frequency of increased reflexes and tended to have more signal abnormalities than the other groups. …”
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PDX1⁻/NKX6.1⁺ progenitors derived from human pluripotent stem cells as a novel source of insulin‐secreting cells by Bushra Memon (4792767)

“…Also, the 3D-beta cells secreted C-peptide in response to increased glucose concentrations indicating their functionality.…”

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.…”