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]). …”

Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

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Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

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Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

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Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

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Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

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Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

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Proteomic Plasticity in the Coral Montipora capitata Gamete Bundles after Parent Thermal Bleaching by Emma B. Timmins-Schiffman (4349209)

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Generated spline library. 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.…”

Correlation coefficient matrix. 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.…”

RMSE versus learning rate. 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.…”

RMSE versus training parameters. 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.…”

Assembly process of machine recognition form. 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.…”

Process of steel truss incremental launching. 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.…”

CGAN and AutoML stacking device. 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.…”

U-wave estimates versus R-matrix noise variance. 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.…”

Sliding window 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.…”

Assembly error angle of a single spline. 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.…”

Original record form of error matrix. 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.…”