Showing 1 - 20 results of 432 for search '(( significant increase decrease ) OR ( significant ((video processing) OR (antigen processing)) ))', query time: 0.11s Refine Results
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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... by Wesal Habbab (17346961)

    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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    Enhanced computer vision applications with blockchain: A review of applications and opportunities by Najmath, Ottakath

    Published 2023
    “…Videos and image processing have significantly transformed computer vision, enabling computers to analyse, and manipulate visual data. …”
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    In silico virtual screening of lead compounds for major antigenic sites in respiratory syncytial virus fusion protein by Shilu Mathew (625826)

    Published 2022
    “…We utilized the three-dimensional crystallographic structure of both antigenic site Ø on pre-F and antigenic II on post-F to screen for potential anti-RSV inhibitors. …”
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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
    “…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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    Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex by Wesam S. Ahmed (10170053)

    Published 2022
    “…In this regard, the recent SARS-CoV-2 alpha, beta, and gamma variants (B.1.1.7, B.1.351, and P.1 lineages, respectively) are of great significance in that they contain several mutations that increase their transmission rates as evident from clinical reports. …”
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    LCDnet: a lightweight crowd density estimation model for real-time video surveillance by Muhammad Asif Khan (7367468)

    Published 2023
    “…In this paper, we propose (i) a Lightweight Crowd Density estimation model (LCDnet) for real-time video surveillance, and (ii) an improved training method using curriculum learning (CL). …”
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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 by Khoury, Nathalie

    Published 2014
    “…Results from RT‑PCR showed that kefir decreases the expression of transforming growth factor α (TGF‑α); and transforming growth factor‑β1 (TGF‑β1) in HT‑29 cells. …”
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    Daucus carota pentane-based fractions arrest the cell cycle and increase apoptosis in MDA-MB-231 breast cancer cells by Shebaby, Wassim N.

    Published 2014
    “…The increase in apoptosis in response to treatment was also apparent in the increase in BAX and the decrease in Bcl-2 levels as well as the proteolytic cleavage of both caspase-3 and PARP as revealed by Western blot. …”
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    The Effectiveness of Serious Games on Cognitive Processing Speed Among Older Adults With Cognitive Impairment: Systematic Review and Meta-analysis by Alaa Abd-alrazaq (17058018)

    Published 2022
    “…Serious games, which are video games used for training and educational purposes, have the potential to improve processing speed. …”
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    BTM: Boundary Trimming Module for Temporal Action Detection by Maher Hamdi (6207746)

    Published 2022
    “…<p dir="ltr">Temporal action detection (TAD) aims to recognize actions as well as their corresponding time spans from an input video. While techniques exist that accurately recognize actions from manually trimmed videos, current TAD solutions often struggle to identify the precise temporal boundaries of each action, which are required in many real applications. …”
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    Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring by Zina Chkirbene (16869987)

    Published 2024
    “…In this context, Deep Reinforcement Learning (DRL) emerges as a technological advancement that improves the healthcare by enabling smart, adaptive, and real-time decision-making processes. Existing DRL applications in resource allocation, however, face significant challenges. …”