Showing 1 - 20 results of 3,597 for search '(( square ((a decrease) OR (_ decrease)) ) OR ( a ((large decrease) OR (larger decrease)) ))', query time: 0.38s Refine Results
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    The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness. by Gui Araujo (22170819)

    Published 2025
    “…When they stop being introduced in further assembly events (i.e. introduced species do not carry any mutualistic interactions), their proportion slowly decreases with successive invasions. (B) Even though higher proportions of mutualism promote higher richness, introducing this type of interaction into already assembled large communities promotes a sudden drop in richness, while stopping mutualism promotes a slight boost in richness increase. …”
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    Each subfigure shows a different local size (LS) and context size (CS) configuration, where the reliability of the model across different initializations is measured in R-squared. by Eloy Geenjaar (21533195)

    Published 2025
    “…Moreover, reliability decreases with a larger dimensionality of the context space, likely increasing the dimensions essentially increases the size and thus the number of equivalent solutions of the space. …”
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    PBP1 depletion results in a population of cells with decreased RADA fluorescence. by Gregory A. Harrison (16639446)

    Published 2025
    “…The mean RADA fluorescence was quantified for each cell using SuperSegger. A histogram depicting the percent of cells with the indicated amount of RADA fluorescence reveals that PBP1 depletion results in a population with decreased RADA signal. …”
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    <b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

    Published 2025
    “…The locomotion values (traces and metrics) are in arbitrary units with larger integers representing a greater displacement of the spherical treadmill, the hemodynamic (Hbt) values (traces and metrics) are a percentage change from the normalised baseline (prior to stimulus presentation), and the corresponding time series vector is presented in seconds. …”
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    Least squares support vector machine model. by Yang Guo (399435)

    Published 2025
    “…The traditional fault diagnosis method has low accuracy and poor stability for early fault diagnosis. In this paper, a fault diagnosis model of Chiller is designed by combining least squares support vector machine (LSSVM) optimized by hybrid improved northern goshawk optimization algorithm (HINGO) and improved IAdaBoost ensemble learning algorithm. …”
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