Ecosystem multifunctionality across warming treatment and season. by Melissa S. Shinfuku (19942206)

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Soil organic carbon, soil organic nitrogen, z-score transformed ecosystem functions, and ecosystem multifunctionality indices metadata. by Melissa S. Shinfuku (19942206)

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S1 Graphical - by Agnieszka Murawska (11021928)

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Non-enzymatic antioxidants in hemolymph of honey bee workers. by Agnieszka Murawska (11021928)

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Concentration of active substances found in pollen, nectar or honey and concentration used in the study. by Agnieszka Murawska (11021928)

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Enzymes activity in hemolymph of honey bee workers. by Agnieszka Murawska (11021928)

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Values of critical shape factor (<i>β</i>′) for different allowable relative deviations (<i>w</i>₂, in %). by Hong Zhang (25820)

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Centrifuged FMT products consistently exhibit the lowest median log₁₀ drop of CFU/g following freezing and lyophilization. In contrast, unprocessed feces exhibited the g... by Nina K. Randolph (21030732)

Reversible Small Molecule Multivariant Ras Inhibitors Display Tunable Affinity for the Active and Inactive Forms of Ras by Charles W. Parry (20966154)

Comprehensive prediction process of shape errors. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Shape error manual calculation process. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Shape error measurement results statistics. by Zhe Hu (787283)

“…Following model updates with measured data, the accumulated prediction error rapidly decreases. The proposed prediction method for shape errors during pushing exhibits high accuracy and versatility in similar projects, significantly reducing time spent on manual error handling and minimizing computational inaccuracies.…”

Computational Fluid Dynamics results for a parallel plate flow chamber based on FLUENT. by Xinyao Zhao (5824427)

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Comparison of theoretical and numerical results for fluid shear stress. by Xinyao Zhao (5824427)

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Measuring the Young’s modulus of Hela cells subjected to different durations of fluid shear stress by Atomic Force Microscopy (AFM). by Xinyao Zhao (5824427)

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AFM probe is controlled to perform indentation assay on a Hela cell to record force curves for measuring cellular Young ‘s modulus. by Xinyao Zhao (5824427)

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The experimental technology combining a fluid shear stress experimental system with Atomic Force Microscopy (AFM). by Xinyao Zhao (5824427)

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Comparative Analysis of Hela Cells Cultured under Static Conditions and Exposed to Fluid Shear Stress. by Xinyao Zhao (5824427)

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Measuring results of Hela cells subjected to different durations of fluid shear stress by Atomic Force Microscopy (AFM) by Xinyao Zhao (5824427)

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Shape rescue in the midface phenotype in the Dp(16)1Yey/ <i>Ripply3</i>^<i>tm1b</i> compound mutant. by José Tomás Ahumada Saavedra (22290934)

“…Confidence interval and Frequency Bootstrap graphics with 10.000 resamplings showed significant shape changes (Z statistics = 0,045, CI = [0.06065/ -0.06202]). …”