Showing 101 - 120 results of 18,566 for search 'significantly ((((we decrease) OR (((mean decrease) OR (a decrease))))) OR (linear decrease))', query time: 0.43s Refine Results
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    NIH score. by Zahra Tajik (20752452)

    Published 2025
    Subjects:
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    Data Sheet 1_Secretoneurin plasma levels are decreased after catheter ablation for atrial fibrillation—patients with AF produce lower SN levels than healthy individuals: the SAFE r... by Jiří Plášek (21805048)

    Published 2025
    “…ClinicalTrials.gov ID: NCT05794464.</p>Results<p>A total of 137 patients (64% males, age 63 ± 11) and 34 healthy individuals (38% males, mean age 31 ± 7.1) were included in the analysis. …”
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    Data Sheet 1_Elevated relative humidity significantly decreases cannabinoid concentrations while delaying flowering development in Cannabis sativa L..docx by Ingrid Carolina Corredor-Perilla (22631510)

    Published 2025
    “…Furthermore, high RH significantly suppressed cannabinoid accumulation: cannabidiolic acid (CBD-A), cannabidiol (CBD), and cannabichromenic acid (CBC-A) levels decreased by approximately 4.9-fold, 3.2-fold, and 13-fold, respectively. …”
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    Univariate linear regression analysis of scales. by Xiangyu Wang (341093)

    Published 2025
    “…Moreover, Life Sciences & Medicine students demonstrated a greater tendency toward negative self-perception, low psychological well-being level, and decreased creative self-efficacy, compared to peers in other disciplines.…”
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    Decreased clonogenic capacity of U87MG and U251MG glioma cells dependent on SHG-44 concentration. by Denis Mustafov (19137870)

    Published 2025
    “…<p><b>(A)</b> A significant decrease in the proliferative clonal capacity of U87MG colonies was observed with 70ΜM and 100ΜM SHG-44 treatment. …”
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    STL Linear Combination Forecast Graph. by Xiangjuan Liu (618000)

    Published 2025
    “…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …”
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