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Identifying and Assessing the Significance of Digital Twin Enablers in the Construction Industry
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Enhancing Arabic Reading Proficiency as a Second Language: Unveiling the Significance of Audiobooks for Middle School Students
Published 2024“…Findings- The analysis of data revealed that the good application of Audiobooks in Dubai schools is yet to be accomplished. …”
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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“…Furthermore, results from time‑lapse motility movies, wound‑healing, and invasion assays showed no effect on the motility of colorectal as well as breast (MCF‑7 and MB‑MDA‑231) cancer cells upon kefir treatment. 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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Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer
Published 2015“…</p><h3>Methods</h3><p dir="ltr">In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. …”
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An Investigation on Users’ Perceptions of Open Government Data in Qatar
Published 2025“…Among 13 OGD attributes, six were identified as opportunities, five required improvement, and two were considered lower priorities. The OGD gap revealed an 82% surplus. Path analysis demonstrated that the OGD gap, combined with two other latent variables, significantly influenced users’ trust in OGD. …”
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Predicting gasoline prices using Michigan survey data
Published 2015“…As such, we conclude that the MSC data on both expected inflation and consumer sentiment have significant predictive information for gasoline prices. …”
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iPSC-Derived Pancreatic Progenitors Lacking FOXA2 Reveal Alterations in miRNA Expression Targeting Key Pancreatic Genes
Published 2023“…These data provide novel insights of the effect of FOXA2 deficiency on miRNA-mRNA regulatory networks controlling pancreatic development and differentiation.…”
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iPSC-Derived Pancreatic Progenitors Lacking FOXA2 Reveal Alterations in miRNA Expression Targeting Key Pancreatic Genes
Published 2023“…</p> <p>Results: Transcriptome analysis on FOXA2–/–PPs compared to WT-PPs revealed 1628 down-regulated (Log2 FC < −1.0, p < 0.05) and 769 up-regulated (Log2 FC > 1.0, p < 0.05) DEGs. …”
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Genome‐wide DNA methylation analysis of colorectal adenomas with and without recurrence reveals an association between cytosine‐phosphate‐guanine methylation and histological subty...
Published 2019“…No significant DMPs were identified comparing primary adenomas with and without recurrence. …”
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MicroRNA Expression Profiling on Paired Primary and Lymph Node Metastatic Breast Cancer Revealed Distinct microRNA Profile Associated With LNM
Published 2020“…Interestingly, interrogation of the expression levels of hsa-miR-205 and hsa-miR-214 in the METABRIC breast cancer dataset revealed significantly poor overall survival in patients with downregulated expression of miR-205 [HR = 0.75 (0.61–0.91)], p = 0.003 and hsa-miR-214 [HR = 0.74 (0.59–0.93) p = 0.008]. …”
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Gene expression data analysis identifies multiple deregulated pathways in patients with asthma
Published 2018“…Comparing gene expression profiles of bronchoalveolar lavage cells in response to corticosteroid treatment, showed substantial reductions in genes related to the inflammatory response, including tumor necrosis factor signaling in the corticosteroid sensitive versus resistant patients, suggesting a defective immune response to corticosteroids. The data highlight the multifactorial nature of asthma, but revealed no significant overlap with the gene expression profiles from different datasets interrogated in current studies. …”
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Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
Published 2024Get full text
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Evaluating machine learning technologies for food computing from a data set perspective
Published 2023“…The rapid increase of available image data and the fast evolution of artificial intelligence, paired with a raised awareness of people’s nutritional habits, have recently led to an emerging field attracting significant attention, called food computing, aimed at performing automatic food analysis. …”