L1-CAM knock-down radiosensitizes neuroblastoma IMR-32 cells by simultaneously decreasing MycN, but increasing PTEN protein expression by Rached, Johnny

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The trans-10, cis-12 isomer of conjugated linoleic acid decreases adiponectin assembly by PPARγ-dependent and PPARγ-independent mechanisms by Miller, Jessica R.

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Increasing methylation of sperm rDNA and other repetitive elements in the aging male mammalian germline by Ramya Potabattula (4401160)

“…<p dir="ltr">In somatic cells/tissues, methylation of ribosomal DNA (rDNA) increases with age and age‐related pathologies, which has a direct impact on the regulation of nucleolar activity and cellular metabolism. …”

Deep Learning for Arabic Error Detection and Correction by ALKHATIB, MANAR

“…We introduce an approach that investigates employing deep neural network technology for error detection in Arabic text. …”
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Knowledge-based Deep Learning for Modeling Chaotic Systems by Elabid, Zakaria

“…Deep Learning has received increased attention due to its unbeatable success in many fields, such as computer vision, natural language processing, recommendation systems, and most recently in simulating multiphysics problems and predicting nonlinear dynamical systems. …”
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Deep Learning for the Accurate Prediction of Triggered Drug Delivery by Husseini, Ghaleb

“…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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Detecting Mental Stress using EEG and Deep Learning by Badr, Yara

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Assessment of tropospheric NO₂ concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–202... by Yasir E. Mohieldeen (22155901)

“…<p dir="ltr">This study presents a temporal evaluation of the tropospheric NO₂ column densities over Greater Doha using TROPOMI satellite data from May 2018 to December 2023, and an assessment of the impact of the preparations and hosting of the FIFA Football World Cup Qatar 2022, on NO₂ levels before, during and after the tournament over Greater Doha. …”

Hearing loss prevalence and years lived with disability, 1990–2019: findings from the Global Burden of Disease Study 2019 by Lydia M Haile (9715382)

“…The Healthcare Access and Quality (HAQ) Index explained 65·8% of the variation in national age-standardised rates of years lived with disability, because countries with a low HAQ Index had higher rates of years lived with disability. …”

Health-related quality of life and its predictors among adults living with HIV/AIDS and receiving antiretroviral therapy in Pakistan by Ali Ahmed (2567584)

“…ART has significantly increased the life expectancy of people living with HIV/AIDS (PLWHA). …”

Addressing energy and mobility poverty in the Middle East: lived experience, spatial injustice, and temporary migrants in the United Arab Emirates by Furszyfer Del Rio, Dylan

“…In exploring the subject of poverty and vulnerability, we show how low-income and living conditions are intertwined with energy and mobility poverty and, hence, the need for holistic solutions. …”
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Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model by Raseena M. Haris (17773470)

“…If there are large numbers of remaining memory pages after a predefined iteration of page transfer, the stop-and-copy phase is initiated, which significantly increases downtime and negatively impacts service availability. …”

Differences in mental health status between individuals living with diabetes, and pre-diabetes in Qatar: A cross-sectional study by Montaha Mahmoud (18067649)

“…</p><h3> Conclusion </h3><p dir="ltr">The results of our study found patients living with pre-diabetes, and females with T2DM are vulnerable populations who should be screened for mental health disorders. …”

Artificial Intelligence Chatbots: A Survey of Classical versus Deep Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques by A. Alazzam, Bayan

“…In addition to classical ML techniques, Deep Learning (DL) has attracted many researchers to develop chatbots using more sophisticated and accurate techniques. …”
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Use of deep vein thrombosis prophylaxis in hospitalized cancer patients by Awar, Zeina

“…Several options are available to increase physicians' awareness of the problem.…”
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

“…The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …”

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA by Muhammad Shehab (16904880)

“…As the imperfection increases by ten times, the rate decreases by more than 10%.…”

Neuron-level Interpretation of Deep NLP Models: A Survey by Hassan Sajjad (5297441)

“…<p dir="ltr">The proliferation of Deep Neural Networks in various domains has seen an increased need for interpretability of these models. …”

A BRET-based Mpro biosensor containing a nanobody and tandem cleavage sites shows an increased cleavage rate by Geethakumari, Anupriya M

“…Gaussian accelerated molecular dynamics (GaMD) simulations of the predicted alpha-helical synthetic Mpro cleavage sequences revealed a dynamic nature of the cleavage sequences, which is critical for their efficient cleavage, and a relatively short end-to-end distances, which is required for high BRET. Live cell assays revealed a cleavage sequence length-dependent resonance energy transfer, except for the 12× -syn cleavage site, and an increased rate of cleavage and a decreased pharmacological inhibitor efficacy for the Mpro biosensor containing 2× cleavage sequences. …”
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Deep aging clocks: AI-powered strategies for biological age estimation by Luma Srour (22254409)

“…Recent advances in artificial intelligence (AI), utilizing deep learning techniques, have significantly enhanced the prediction of biological aging, and this would help improve aging clocks and accelerate efforts to reach longer and healthier lives.…”