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Showing 1 - 20 results of 863 for search '(( significant ((small decrease) OR (mean decrease)) ) OR ( significant application using ))*', query time: 0.12s Refine Results
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    Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

    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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    Machine Learning in the Analysis of Social Problems: The Case of Global Human Trafficking by Caoli, Arsenio Jr.

    Published 2019
    “…The Counter-Trafficking Data Collaborative (CTDC) dataset, which is an initiative of the International Organization for Migration (IOM) for human trafficking was used for the experimental study. The exploration of the dataset revealed 61% of missing data — another incentive for the applicability of machine learning via multiple imputation using chained equations (MICE) instead of single imputation or deletion. …”
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    A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

    Published 2024
    “…<p dir="ltr">NanoLuc (NLuc) <u>luciferase</u> has found extensive application in designing a range of <u>biologica</u><u>l</u><u> assays,</u> including <u>gene expression analysis</u>, protein-protein interaction, and protein conformational changes due to its enhanced brightness and small size. …”
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    Use of smartphone and perception towards the usefulness and practicality of its medical applications among healthcare workers in Saudi Arabia by Abolfotouh, Mostafa A.

    Published 2019
    “…Significance was considered at p-value of < 0.05. Results Utilization rate of smartphone was 42.3%, and only 6.1% of all healthcare providers reported always using applications in their practice. …”
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    The use of multi-task learning in cybersecurity applications: a systematic literature review by Shimaa Ibrahim (22155739)

    Published 2024
    “…Five critical applications, such as network intrusion detection and malware detection, were identified, and several tasks used in these applications were observed. …”
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    The Development And Significance Of Business Intelligence (BI) Platforms In Facilitating The Decision-Making Process In Dubai Government Entities by ALMHEIRI, ABDULLA OBAID MOHAMMED

    Published 2022
    “…Furthermore, the significance of using the BI platform for decision-making is established in the light of academic and empirical evidence. …”
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    Enhancing Arabic Reading Proficiency as a Second Language: Unveiling the Significance of Audiobooks for Middle School Students by SAAD, HEBA ABDALLA AMIN

    Published 2024
    “…Considering audiobooks as a useful tool in improving reading skills and language acquisition, this study aims to explore the potential benefits and effectiveness of using audiobooks as a tool for learning for non-Arab students in Dubai, as there is a diverse student population including individuals from various cultural and linguistic backgrounds which can present significant challenges. …”
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    Rapid mercury removal using living indigenous microalgal communities for water treatment applications by Amr Nasr Fekry (22521185)

    Published 2025
    “…Comprehensive isotherm analysis revealed the Dubinin-Radushkevich model provided the best fit (R<sup>2</sup> = 0.998), indicating physical adsorption as the predominant mechanism, as the calculated mean free energy (E = 5.00 kJ/mol) falls within the 1–8 kJ/mol range characteristic of physical adsorption. …”
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    Using XAI Techniques to Detect Targeted Data Poisoning Attacks on Healthcare Applications of Machine Learning Systems by Eyad Dhaher Megdadi

    Published 2025
    “…This research study explores the application of Explainable Artificial Intelligence (XAI) methods for detecting targeted data poisoning attacks in healthcare machine learning systems. …”
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