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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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The Effect of the Variation of the Modulus of Subgrade Reaction on the Design of Large Shallow Foundations
Published 2022“…With the use of variable coefficient across the mat foundation, a significant decrease in the steel reinforcement is witnessed and an optimized/ more adapted steel distribution is observed.…”
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Does standalone phacoemulsification lower intraocular pressure in glaucomatous eyes? A systematic review and meta-analysis
Published 2025“…In conclusion, standalone phacoemulsification significantly lowers IOP and reduces the need for glaucoma medications in patients with glaucoma.…”
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The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu...
Published 2019“…Somewhat surprisingly, the catalytically active form, methylated PP2A (mePP2A) was significantly decreased. In close correlation to these data, the phosphorylation state of two substrate proteins, sensitive to PP2A activity, GSK3β and Tau were found to be increased. …”
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Variational Auto Encoder Approach To Find Deferentially Expressed Genes
Published 2022“…Recently, deep learning models such as Autoencoder (AE) and Variational Autoencoder (VAE) models are being used to capture hidden patterns from single-cell gene expression data. …”
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Variation of Shear Wave Velocity with SPT-N Values in the City of Sharjah
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Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection
Published 2021“…Subsequently, the selected classifier is applied on a real-life large Twitter dataset, which includes around two million tweets, to extract positive/negative/neutral sentiments. The Filtered-LDA Model is tested first on a Ground Truth dataset to validate that it outperforms baseline models, then it is finally applied on the large Twitter dataset to automatically conclude main reasons for sentiment variations…”
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Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex
Published 2022“…<p dir="ltr">Coronavirus Disease of 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has resulted in a massive health crisis across the globe, with some genetic variants gaining enhanced infectivity and competitive fitness, and thus significantly aggravating the global health concern. …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells
Published 2019“…Among the tested molecules, LY411575, a potent γ-secretase and Notch signaling inhibitor, exhibited significant inhibitory effects on osteoblastic differentiation of hBMSCs manifested by reduced ALP activity, mineralized matrix formation, and decreased osteoblast-specific gene expression as well as in vivo ectopic bone formation. …”
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Kefir exhibits anti‑proliferative and pro‑apoptotic effects on colon adenocarcinoma cells with no significant effects on cell migration and invasion
Published 2014“…Our data suggest that kefir is able to inhibit the proliferation and induce apoptosis in HT‑29 and Caco‑2 CRC cells, yet it does not exhibit a significant effect on the motility and invasion of these cells in vitro.…”
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Using Artificial Intelligence to Understand What Causes Sentiment Changes on Social Media
Published 2021“…Then we present a Filtered-LDA framework that significantly outperformed existing methods of interpreting sentiment variations on Twitter. …”
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Micro-Expression Recognition using Convolutional Variational Attention Transformer (ConVAT) with Multihead Attention Mechanism
Published 2025“…To address these limitations, we propose the Convolutional Variational Attention Transformer (ConVAT), a novel model that leverages a multi-head attention mechanism integrated with convolutional networks, optimized specifically for detailed micro-expression analysis. …”