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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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Baseline patient characteristics.
Published 2025“…Their median baseline variabilities of respiratory rate and tidal volume were 0.19 (IQR: 0.16–0.25) and 0.23 (0.19–0.34), respectively. 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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S2 File - Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Vajira Hospital
Published 2025“…S2 File - <p>Factors influencing effective decrease of controlled attenuation parameters in metabolic-associated steatotic liver disease: A multilevel linear regression analysis at Vajira Hospital</p>…”
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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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<b>When more isn’t better: Sperm competition decreases fertilization success and motile sperm in two sea urchin species</b>
Published 2025“…</p><p dir="ltr">Description of files:</p><p dir="ltr">fertility_data_cleaned.csv: data on <i>Dendraster excentricus</i> fertilization success means for non-competitive- and sperm competition treatment; used for linear mixed-effects models and basic statistics</p><p dir="ltr">fertility_data_cleaned.xlsx : see above </p><p dir="ltr">Fertility_FHL_means.csv: used for plotting and calculate basic statistics </p><p dir="ltr">Fertility_FHL_means.xlsx : see above </p><p dir="ltr">fertility_vigo_cleaned.csv: data on <i>Paracentrotus lividus</i> fertilization success means for non-competitive- and sperm competition treatment; used for linear mixed-effects models and basic statistics , and to filter for 1500 and 7500 sperm/µl which was used for further analysis </p><p dir="ltr">fertility_vigo_cleaned.xlsx: see above </p><p dir="ltr">Fertility_Vigo_means.csv: calculate statistics </p><p dir="ltr">Fertility_Vigo_means.xlsx: see above </p><p dir="ltr">FHL_FandF2.txt: look at differences between post 2h- and 24h fertilization success in <i>D. excentricus </i></p><p dir="ltr">motility_data_cleaned.csv : perm motility data on <i>D. excentricus</i>, used for linear-mixed effects models and basic statistics </p><p dir="ltr">motility_data_cleaned.xlsx: see above </p><p dir="ltr">Motility_Fertility_FHL_Means.csv: motility and fertilization data on <i>D. excentricus</i>, used to check if motility parameters affected fertilization success </p><p dir="ltr">Motility_Fertility_FHL_Means.xlsx: see above </p><p dir="ltr">Motility_Fertility_Vigo_Means.xlsx: : motility and fertilization data on <i>P. lividus</i>, used to check if motility parameters affected fertilization success </p><p dir="ltr">Motility_Fertility_Vigo_Means.csv: see above </p><p dir="ltr">Motility_Urchins.csv: used for plotting motility data in both sea urchin species </p><p dir="ltr">motility_vigo_cleaned.csv: sperm motility data on <i>P. lividus</i> </p><p dir="ltr">Size_Correlation_F.csv: test sizes and fertlilization success of both sea urchin species, to check if test size affects fertilzation success </p><p dir="ltr">Size_Correlation_M.csv: test sizes and fertlilization success of both sea urchin species, to check if test size affects sperm motility</p><p dir="ltr">Size_Correlation_M.xlsx: see above </p><p><br></p><p dir="ltr"><br></p><p><br></p>…”
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A Locally Linear Dynamic Strategy for Manifold Learning.
Published 2025“…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”
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A summary of the included study characteristics.
Published 2025“…There is no significant difference one month after NSPT in diabetic patients (SMD: -5.83, 95%CI: -15.5, 3.83, p = 0.237, I-square, 97.4%, random effects model, n = 2), but three (SMD: -2.44, 95%CI: -3.37, -1.15, p = 0.001, I-square, 75.9%, random effects model, n = 3) and six months (SMD: -2.41, 95%CI: -3.81, -1.01, p = 0.001, I-square, 78.7%, random effects model, n = 2) after the treatment, a significant decrease is observed in the mean GCF visfatin level. …”
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Linear regression analysis.
Published 2025“…</p><p> Conclusion </p><p>The HTRT group showed a greater decrease in HU both pre- and post-treatment, indicating a possible indirect marker of tumor necrosis. …”
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