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Showing 1 - 20 results of 450 for search '(( significantly increased decrease ) OR ( significant vector dataset ))', query time: 0.08s 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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    Ensemble Deep Random Vector Functional Link Neural Network for Regression by Minghui Hu (2457952)

    Published 2022
    “…<p dir="ltr">Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. …”
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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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    Recurrent ensemble random vector functional link neural network for financial time series forecasting by Aryan Bhambu (18767731)

    Published 2024
    “…This paper proposes a novel Recurrent ensemble deep Random Vector Functional Link (RedRVFL) network for financial time series forecasting. …”
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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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    Modified Aquila Optimizer Feature Selection Approach and Support Vector Machine Classifier for Intrusion Detection System by Abualigah, Laith

    Published 2024
    “…To evaluate the efficacy of our approach, we employed the KDD'99 dataset for testing and benchmarking against established methods. …”
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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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    Heteroscedastic ensemble deep random vector functional link neural network with multiple output layers for High Frequency Volatility Forecasting and Risk Assessment by Aryan Bhambu (18767731)

    Published 2025
    “…However, the dynamic nature and significant variability in financial <u>time series</u> data pose substantial challenges to achieving these forecasts. …”
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    Optimizing Document Classification: Unleashing the Power of Genetic Algorithms by Ghulam Mustafa (458105)

    Published 2023
    “…BERT generates a 768-dimensional vector for each record, which introduces significant time complexity during computation. …”
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    A Multi-Feature Based Approach Incorporating Variable Thresholds for Detecting Price Spikes in the National Electricity Market of Australia by Dao H. Vu (19570225)

    Published 2021
    “…A case study is conducted using a dataset acquired from the state of New South Wales, Australia. …”
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    Intelligent Hybrid Feature Selection for Textual Sentiment Classification by Jawad Khan (6422669)

    Published 2021
    “…The in-depth evaluation using heterogeneous domain benchmark datasets demonstrates that IHFSSA outperforms existing SA techniques.…”