(A) Shape of the osteotomies during the 3-step MIPS drilling procedure. by Marsel Ganeyev (21453399)

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

Radial Ferrofluid Droplet Generation on a 2-D Star-Shaped Nozzle with 4 Vertices. by Amirhossein Favakeh (21417884)

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Radial Ferrofluid Droplet Generation on a 2-D Star-Shaped Nozzle with 3 Vertices. by Amirhossein Favakeh (21417884)

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Modal shape of the gyration platform. by Shan Gao (46743)

Mode shapes of the first six modes. by Xueting Ma (390540)

Actual measurement 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.…”

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.…”

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.…”

Significance of the bell-shaped excess terms from regressions with Model 1. by Alfred Körblein (10202563)

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Variations of (a) non-dimensional diameter and (b) the frequency of droplet generation in terms of the tilting angle for different water flow rates. by Amirhossein Favakeh (21417884)

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(a) Dimensionless diameter and (b) droplet generation frequency versus the magnet distance from the vertex of the hydrophilic surface for different ferrofluid injection rates and t... by Amirhossein Favakeh (21417884)

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Arctigenin decreased proliferation in colorectal cancer cells with no significant effect on normal cells. by Xiang-Fan Chen (13932983)

Logistics regression analysis for the associations between decreased kidney function (eGFR < 90 mL/min/1.73 m²) and sex-specific z-scores of anthropometric indices, weig... by Xinyun Chen (6655703)

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Illuminations (a) and attenuation rates (b) of the RVL along the axis of y = 0 m at different angles. by Fei Li (143236)

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Illuminations (a) and attenuation rates (b) of the RHL along the axis of y = 0 m at different angles. by Fei Li (143236)

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Illuminations (a) and attenuation rates (b) of the CL along the axis of y = 0 m at different angles. by Fei Li (143236)

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Regression using Model 2: Significance of the inverse of GDP as a covariate. by Alfred Körblein (10202563)

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