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Showing 1 - 20 results of 511 for search '(( significant time dataset ) OR ( significantly increased decrease ))', query time: 0.10s Refine Results
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    Evaluation of warfarin management in primary health care centers in Qatar: A retrospective cross-sectional analysis of the national dataset by Safaa Alshihab (21633677)

    Published 2024
    “…Data was extracted from a national dataset retrieved from the largest <u>primary healthcare</u> provider in Qatar. …”
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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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    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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    Accelerating the Design of Photocatalytic Surfaces for Antimicrobial Application: Machine Learning Based on a Sparse Dataset by Heesoo Park (1604989)

    Published 2021
    “…This machine-learning-assisted strategy offers the opportunity to reduce the cost, labor, time, and precursors consumed during experiments that are based on trial and error. …”
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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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    Time series analysis of environmental quality in the state of Qatar by Ammar, Abulibdeh

    Published 2022
    “…This study investigated the impact of economic growth, electricity consumption, energy consumption, and the crop production index on environmental quality in Qatar by considering four different types of GHGs emissions (carbon dioxide, methane, nitrous oxide, and F-GHGs) and using a time-series dataset for the period of 1990–2019. …”
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    Time series analysis of environmental quality in the state of Qatar by Ammar Abulibdeh (15785928)

    Published 2022
    “…<p>This study investigated the impact of economic growth, electricity consumption, energy consumption, and the crop production index on environmental quality in Qatar by considering four different types of GHGs emissions (carbon dioxide, methane, nitrous oxide, and F-GHGs) and using a time-series dataset for the period of 1990–2019. …”
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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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    W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting by Sasal, Lena

    Published 2022
    “…Evaluating our framework on several publicly available benchmark time series datasets from various domains and with diverse characteristics, we demonstrate that it performs, on average, significantly better than the baseline forecasters for short-term and long-term forecasting, even for datasets that consist of only a few hundred training samples.…”
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    LCDnet: a lightweight crowd density estimation model for real-time video surveillance by Muhammad Asif Khan (7367468)

    Published 2023
    “…Our evaluation shows that the LCDnet achieves a reasonably good accuracy while significantly reducing the inference time and memory requirement and thus can be deployed over edge devices with very limited computing resources.…”
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    Randomized Deep Hopfield Network with Multiple Output Layers for Volatility Time Series Forecasting by Aryan Bhambu (18767731)

    Published 2025
    “…However, the inherent complexity and irregular variations in volatility time series data present significant challenges for accurate modeling. …”
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    Recurrent ensemble random vector functional link neural network for financial time series forecasting by Aryan Bhambu (18767731)

    Published 2024
    “…However, the non-stationary and non-linear characteristics inherent in time series data pose significant challenges when accurately predicting future forecasts. …”
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    MSD-NAS: multi-scale dense neural architecture search for real-time pedestrian lane detection by Sui Paul Ang (18460605)

    Published 2023
    “…Evaluated on the PLVP3 dataset of 10,000 images, the DNN designed by MSD-NAS achieves state-of-the-art accuracy (0.9781) and mIoU (0.9542), while being 20.16 times faster and 2.56 times smaller than the current best deep learning model.…”