<i>BZP4</i> expression differs significantly between genotypes. by Thomas J. C. Sauters (17382864)

“…Boxplots are colored by parental allele. Significance is determined by ANOVA. “**” p < 0.005; “***” p < 0.0005. …”

Significant differences in the shape of the coils. by Vanessa Forte (20577202)

Roughness change in means of Ra (nm) and RMS (nm) for both tested systems. (different capital superscript letters indicate within group significancy, different lower-case superscri... by Beliz Özel (16475132)

NN analysis to assign the importance of variables. by Sulmaz Ghahramani (3387635)

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Fabric anisotropy evolution of numerical samples with different shapes and sizes. by Yongfeng Zhu (7361045)

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Parental alleles associated with increased/decreased trait values and significant mean differences observed in the RILs¹ for phenotypic trait values when a particular parental allele is present at major QTL identified in this study. by Ajay Kumar (192967)

“…<p>Parental alleles associated with increased/decreased trait values and significant mean differences observed in the RILs<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0221826#t003fn001" target="_blank">¹</a> for phenotypic trait values when a particular parental allele is present at major QTL identified in this study.…”

NCF values for each angle of curvature in regard to the shaping system and the angle of curvature (different capital superscript letters indicate significance p<0,05, AOC: angle of curvature). by Beliz Özel (16475132)

“…<p>NCF values for each angle of curvature in regard to the shaping system and the angle of curvature (different capital superscript letters indicate significance p<0,05, AOC: angle of curvature).…”

Stress concentration factor value in the numerical samples with different shapes and sizes. by Yongfeng Zhu (7361045)

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Gametic selection can significantly reduce inbreeding depression and thereby favour the evolution of selfing. by Michael Francis Scott (5447600)

Significant results summary of Eq (38) by the new weight (dependent variable: <i>lnrpgdp</i>). by Yimin Chen (4053979)

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Average contact force and percentage of strong contact force under different conditions: (a) different particle shapes, (b) different particle sizes. by Yongfeng Zhu (7361045)

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Mean values and 95% confidence intervals for recovery time, Average NN Interval (AVNN); Standard Deviation of NN Intervals (SDNN), Low Frequency/ High Frequency Ratio (LF/HF); and... by Robert Trybulski (10998702)

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Comparison of significant mean shape differences between the techno-structural groups. by Marina González-Varas (20496415)

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Pancreatic organoids have significantly different shapes when cultured for seven days in two different media. by Silas Boye Nissen (6815351)

Positional cloning of <i>qNN1</i> on chromosome 16. by Xinxin Li (281237)

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Shear stress-strain responses of the reticulocyte membrane at decreased connectivity of the cytoskeleton. by He Li (176971)

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<i>GmNN1/FT2a</i> expression analysis. by Xinxin Li (281237)

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Summary results of Model 3: Condition index (mg/cm³), D₀ = starting density, Temp Dir = temperature (°C) direction (- = decreasing, 0 = stable, + = increasing), Chl-a = chlorophyll a, Turb = turbidity, used as proxy for hydrodynamics stress, n.s = non-significant. by Jacob J. Capelle (17240528)

“…<p>Summary results of Model 3: Condition index (mg/cm³), D₀ = starting density, Temp Dir = temperature (°C) direction (- = decreasing, 0 = stable, + = increasing), Chl-a = chlorophyll a, Turb = turbidity, used as proxy for hydrodynamics stress, n.s = non-significant.…”

Significant axes and phylogenetic signal for phylomorphospaces. by Corinthia R. Black (14046816)

The linearly decreasing convergence factor a. by Junhao Wei (6816803)

“…The performance of the canonical WOA is improved through innovative strategies: first, an initialization process using Good Nodes Set is introduced to ensure that the search starts from a higher-quality baseline; second, a distance-based guided search strategy is employed to adjust the search direction and intensity by calculating the distance to the optimal solution, which enhances the algorithm’s ability to escape local optima; and lastly, LSWOA introduces an enhanced spiral updating strategy, while the enhanced spiral-enveloping prey strategy effectively balances exploration and exploitation by dynamically adjusting the spiral shape parameters to adapt to different stages of the search, thereby more accurately updating the positions of individuals and improving convergence speed. …”