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values decrease » values increased (Expand Search), largest decrease (Expand Search)
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a large » _ large (Expand Search)
values decrease » values increased (Expand Search), largest decrease (Expand Search)
large decrease » larger decrease (Expand Search), marked decrease (Expand Search), large increases (Expand Search)
squared mean » square means (Expand Search), squared test (Expand Search), studied mean (Expand Search)
a large » _ large (Expand Search)
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The introduction of mutualisms into assembled communities increases their connectance and complexity while decreasing their richness.
Published 2025“…Parameter values: interaction strengths were drawn from a half-normal distribution of zero mean and a standard deviation of 0.2, and strength for consumers was made no larger than the strength for resources. …”
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ECoG timescales decrease during spatial attention.
Published 2025“…Bottom: timescales significantly decrease during covert attention relative to the attend-out condition (two locations: <i>p</i> = 0.0244; four locations: <i>p</i> < 0.0001; mean ± SEM; whiskers indicate maximum and minimum; dots correspond to individual electrodes). …”
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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>"
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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Association between the sum of health behaviors and decrease in physical health from before to during the pandemic....
Published 2025“…<p>Association between the sum of health behaviors and decrease in physical health from before to during the pandemic. …”
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Mean parameter values for the selected crops.
Published 2025“…Multi-spectral band images from Landsat-8 satellite images of a chosen land are employed from USGS Earth Resources Observation and Science (EROS) Center for extracting indices that are used for agricultural analysis, determining the vegetation index, water index, and salinity index of that land using K-means. Furthermore, crop yield is predicted using Linear Regression and Random Forest, achieving accuracies of 93.49% and 95.87%, respectively, while using RMSE (Root Mean Squared Error) as the loss function. …”
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Assessment values of machine learning models.
Published 2025“…The prediction results indicate that the StackBoost model excels in predicting aqueous solubility, achieving a coefficient of determination () of 0.90, a root mean square error (RMSE) of 0.29, and a mean absolute error (MAE) of 0.22, significantly outperforming the other comparative models. …”
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Association of each health behavior and the reported decrease in psychological well-being during the pandemic between individuals who often/very often compared to rarely/never engaged in health behaviors....
Published 2025“…<p>Association of each health behavior and the reported decrease in psychological well-being during the pandemic between individuals who often/very often compared to rarely/never engaged in health behaviors. …”
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Effect of each health behavior on the reported decrease in physical health during the pandemic between individuals who often/very often compared to rarely/never engaged in health behaviors....
Published 2025“…<p>Effect of each health behavior on the reported decrease in physical health during the pandemic between individuals who often/very often compared to rarely/never engaged in health behaviors. …”
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Image 7_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
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Image 6_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
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Image 3_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
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Image 1_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
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Image 2_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”
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Image 4_Exploration of the diagnostic and prognostic roles of decreased autoantibodies in lung cancer.tif
Published 2025“…Diagnosing malignant small lung nodules (≤3cm) in CT scans remains a challenge in clinical practice.</p>Methods<p>In this study, we applied the HuProt array and the bioinformatics analysis to assess the diagnostic values of the decreased autoantibodies in lung cancers.…”