Showing 1 - 20 results of 331 for search '(( significantly ((linear decrease) OR (a decrease)) ) OR ( significant non decrease ))~', query time: 0.53s Refine Results
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    Baseline patient characteristics. by Oscar F. C. van den Bosch (22184246)

    Published 2025
    “…While mean respiratory rate was not affected, midazolam resulted in a significant decrease in both VRR (ß = −0.071, 95% CI: −0.120 to −0.021) and VTV (ß = −0.117, 95% CI: −0.170 to −0.062). …”
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    The flexural lumber properties of Pinus patula Schiede ex Schltdl. & Cham. improve with decreasing initial tree spacing by Justin Erasmus (8702619)

    Published 2025
    “…After accounting for ring width differences, there remained a significant effect of initial spacing on the parameters of models predicting microfibril angle and wood density.…”
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    Contrasting Size Dependence of Photochemical Lifetimes of Polypropylene and Expanded Polystyrene Microplastics in Surface Waters by Ariana Patterson (22764051)

    Published 2025
    “…A linear relationship between SA:V and DOC accumulation rate was significant for EPS (<i>p</i> < 0.0001) and PP (<i>p</i> = 0.0086), suggesting SA-controlled reactions. …”
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    Cohort characteristics. by Fernanda Talarico (807333)

    Published 2024
    “…</p><p>Results</p><p>The analysis reveals a significant decrease in all health services utilization from 2016 to 2019, followed by an increase until 2022. …”
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    S1 Data - by Francois Kiemde (5369657)

    Published 2024
    “…Light microscopy was used to detect <i>Plasmodium falciparum</i> infections. A linear mixed-effects regression (LMER) model was used to assess the association between the variation of cortisol titres and prolactin levels during the pregnancy and the post-partum.…”
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    Characteristic of study population. by Francois Kiemde (5369657)

    Published 2024
    “…Light microscopy was used to detect <i>Plasmodium falciparum</i> infections. A linear mixed-effects regression (LMER) model was used to assess the association between the variation of cortisol titres and prolactin levels during the pregnancy and the post-partum.…”
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    Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

    Published 2025
    “…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
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    Hyperparameter ranges by Eloy Geenjaar (21533195)

    Published 2025
    “…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
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    Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

    Published 2025
    “…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
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