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linear decrease » linear increase (Expand Search)
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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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Tunable Actuation of Humidity-Driven Artificial Muscles via Graphene Nanofillers
Published 2022“…This study shows a uniquely tunable humidity actuator that demonstrates linear and bending actuation.…”
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Tunable Actuation of Humidity-Driven Artificial Muscles via Graphene Nanofillers
Published 2022“…This study shows a uniquely tunable humidity actuator that demonstrates linear and bending actuation.…”
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Strain-Insensitive, Crosstalk-Suppressed, Ultrawide-Linearity Iontronic Tactile Skin from a Synergistic Segment-Embedded Strategy
Published 2025“…By tessellating hard and compliant elements within encapsulation layers, stretch deformation in the sensing region is reduced by 79%, and the overall mean stress is decreased by over 90%. Multilevel segmented spacers are proposed to provide vertical support while maintaining stretchability. …”
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Strain-Insensitive, Crosstalk-Suppressed, Ultrawide-Linearity Iontronic Tactile Skin from a Synergistic Segment-Embedded Strategy
Published 2025“…By tessellating hard and compliant elements within encapsulation layers, stretch deformation in the sensing region is reduced by 79%, and the overall mean stress is decreased by over 90%. Multilevel segmented spacers are proposed to provide vertical support while maintaining stretchability. …”
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The results of linear mixed model.
Published 2024“…This study aimed to assess whether enhancing M1 and S1 excitability via tDCS, alongside sensory-motor exercises, offers additional benefits for CLBP patients.…”
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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). …”